WE ARE DATA RECRUITMENT SPECIALISTS
Xcede has an unparalleled record in recruiting for data science and analyst positions, including leadership roles. As specialists in search and selection since 2003, we have fostered partnerships with world-leading organizations to offer the best roles to our ever-expanding pool of data talent. Our service diligently works closely with teams from pioneering start-ups, research labs, and international enterprises, providing a wide range of development opportunities. It is these highly prestigious partnerships that allow Xcede to attract top talent from across the UK and Europe. Our client-focused approach ensures that each candidate meets the unique requirements of a specific job contract while also prioritising the quality of the match.
DATA SPECIALISMS
LATEST DATA JOBS
Data Analyst
Permanent
Up to £50k
Fully Remote
Xcede are excited to be partnering with a scale-up ecommerce business.
The ideal candidate will be an expert in SQL (Ideally BigQuery) and worked within GA4. You will be working with a range of business stakeholders but with the focus around customer analytics.
This is an excellent opportunity for an analyst with 12-18 months experience to take their careeer to the next level.
For more information, please send an up to date CV to daniel.wexler@xcede.com
MLOps Engineer
(London - visit the office x3 days a week)
Xcede are delighted to be working with a very exciting scale-up Tech Product organisation. With a fledgling Data Science team already in place who focus on recommendation systems and customer personalisation, the company now want to hire an MLOps Engineer / ML Engineer to focus on machine learning infrastructure and deployment tech. As the first person focusing solely on this skillset in the near future, we'll need a capable and experienced engineer who is happy making independent technical decisions.
Responsibilities
- Deploy, optimise and maintain the machine learning models at the core of the company's product offering.
- Focus on creating state of the art recommendation system and graph network technology that is scalable and stable.
- Build APIs for the product.
- Drive smart and necessary DevOps decision within the ML function - MLOps.
Requirements
- Strong academic background in a relevant field (Statistics, Computer Science, etc.)
- Significant commercial experience deploying and maintaining (MLOps) Machine Learning algorithms and infrastructure. This would ideally be in a digital B2C product or platform.
- Some experience of deploying recommendation engines / recommender systems / RecSys
- Strong cloud experience - ideally AWS / Amazon Web Services.
- Usage of LLMs in a commercial environment is a bonus.
- Docker & Kubernetes experience
- Bonus experience - pathfinder algorithms, graph network experience
If this role interests you and you would like to find out more, please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).
MACHINE LEARNING ENGINEERING TEAM LEAD
In particular, we're currently on the lookout for an experienced Machine Learning Engineering Team Lead - someone who combines the best of Platform focused software engineering, management skills, and machine learning knowledge.
The main aim of this unit is to facilitate and enable the ML unit's key projects. These can range from customer personalisation, recommendation engines, pricing algorithms, and A/B tests.
Responsibilities
- clear technical and strategic leadership for the ML Engineering unit.
- the timelines and roadmap to enable Product execution.
- with Machine Learning & Data Science leadership to think of new useful ideas.
- into 'hands-on' elements of the role and provide engineering standards and best practice for the unit.
Requirements
- An academic background in Statistics, Mathematics, or Computer Science (or similar)
- A number of years of commercial experience acting as a cross functional leader for both software and ML engineers.
- An ability to write production quality Python code.
- An understanding of the end to end Machine Learning lifecycle.
- Spark & Spark Streaming experience
- Azure & DataBricks experience.
If this role interests you and you would like to find out more, please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).
MACHINE LEARNING ENGINEERING TEAM LEAD
In particular, we're currently on the lookout for an experienced Machine Learning Engineering Team Lead - someone who combines the best of Platform focused software engineering, management skills, and machine learning knowledge.
The main aim of this unit is to facilitate and enable the ML unit's key projects. These can range from customer personalisation, recommendation engines, pricing algorithms, and A/B tests.
Responsibilities
- clear technical and strategic leadership for the ML Engineering unit.
- the timelines and roadmap to enable Product execution.
- with Machine Learning & Data Science leadership to think of new useful ideas.
- into 'hands-on' elements of the role and provide engineering standards and best practice for the unit.
Requirements
- An academic background in Statistics, Mathematics, or Computer Science (or similar)
- A number of years of commercial experience acting as a cross functional leader for both software and ML engineers.
- An ability to write production quality Python code.
- An understanding of the end to end Machine Learning lifecycle.
- Spark & Spark Streaming experience
- Azure & DataBricks experience.
If this role interests you and you would like to find out more, please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).
DATA SCIENTIST
Xcede are delighted to be working with one of the world's largest gaming companies on the scale-up of their pre-existing Data Science & Machine Learning Division. The organisation have an enviable wealth of digital / B2C data available to them given the scale of their userbase. The company would like to capitalise further on this, hence their ambitious (but well-defined) hiring plans.
The company is looking to hire experienced Data Scientists at a couple of different levels - Data Scientist / Senior Data Scientist / Principal Data Scientist. Projects will focus on Recommender Systems / Recommendation Engines, Customer Personalisation, etc.
The company have already made some heavyweight appointments, with the ML Leadership team coming from a number of FAANG organisations. This is a fantastic environment to improve your skillset and encounter new ideas.
Requirements
- An academic background in Statistics, Mathematics, or Computer Science (or similar)
- A number of years of commercial experience as a data scientist appropriate to your grade.
- Commercial experience in designing impactful machine learning models
- Experience in helping to take said models to production / deployment
- Python expertise proven by writing production quality code
Bonus Requirements
- System / Recommender System / Recommendation Engine / RecSys experience
- PySpark experience
- Azure DataBricks experience
If this role interests you and you would like to find out more, please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).
SENIOR DATA SCIENTIST
Xcede are delighted to be working with one of the world's largest gaming companies on the scale-up of their pre-existing Data Science & Machine Learning Division. The organisation have an enviable wealth of digital / B2C data available to them given the scale of their userbase. The company would like to capitalise further on this, hence their ambitious (but well-defined) hiring plans.
The company is looking to hire experienced Data Scientists at a couple of different levels - Data Scientist / Senior Data Scientist / Principal Data Scientist. Projects will focus on Recommender Systems / Recommendation Engines, Customer Personalisation, etc.
The company have already made some heavyweight appointments, with the ML Leadership team coming from a number of FAANG organisations. This is a fantastic environment to improve your skillset and encounter new ideas.
Requirements
- An academic background in Statistics, Mathematics, or Computer Science (or similar)
- A number of years of commercial experience as a data scientist appropriate to your grade.
- Commercial experience in designing impactful machine learning models
- Experience in helping to take said models to production / deployment
- Python expertise proven by writing production quality code
Bonus Requirements
- System / Recommender System / Recommendation Engine / RecSys experience
- PySpark experience
- Azure DataBricks experience
If this role interests you and you would like to find out more, please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).
PRINCIPAL DATA SCIENTIST
Xcede are delighted to be working with one of the world's largest gaming companies on the scale-up of their pre-existing Data Science & Machine Learning Division. The organisation have an enviable wealth of digital / B2C data available to them given the scale of their userbase. The company would like to capitalise further on this, hence their ambitious (but well-defined) hiring plans.
The company is looking to hire experienced Data Scientists at a couple of different levels - Data Scientist / Senior Data Scientist / Principal Data Scientist. Projects will focus on Recommender Systems / Recommendation Engines, Customer Personalisation, etc.
The company have already made some heavyweight appointments, with the ML Leadership team coming from a number of FAANG organisations. This is a fantastic environment to improve your skillset and encounter new ideas.
Requirements
- An academic background in Statistics, Mathematics, or Computer Science (or similar)
- A number of years of commercial experience as a data scientist appropriate to your grade.
- Commercial experience in designing impactful machine learning models
- Experience in helping to take said models to production / deployment
- Python expertise proven by writing production quality code
Bonus Requirements
- System / Recommender System / Recommendation Engine / RecSys experience
- PySpark experience
- Azure DataBricks experience
If this role interests you and you would like to find out more, please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).
PRINCIPAL DATA SCIENTIST
(Athens - visit the office x3 days a week)
Xcede are delighted to be working with one of the world's largest gaming companies on the scale-up of their pre-existing Data Science & Machine Learning Division. The organisation have an enviable wealth of digital / B2C data available to them given the scale of their userbase. The company would like to capitalise further on this, hence their ambitious (but well-defined) hiring plans.
The company is looking to hire experienced Data Scientists at a couple of different levels - Data Scientist / Senior Data Scientist / Principal Data Scientist. Projects will focus on Recommender Systems / Recommendation Engines, Customer Personalisation, etc.
The company have already made some heavyweight appointments, with the ML Leadership team coming from a number of FAANG organisations. This is a fantastic environment to improve your skillset and encounter new ideas.
Requirements
- An academic background in Statistics, Mathematics, or Computer Science (or similar)
- A number of years of commercial experience as a data scientist appropriate to your grade.
- Commercial experience in designing impactful machine learning models
- Experience in helping to take said models to production / deployment
- Python expertise proven by writing production quality code
Bonus Requirements
- System / Recommender System / Recommendation Engine / RecSys experience
- PySpark experience
- Azure DataBricks experience
If this role interests you and you would like to find out more, please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).
SENIOR DATA SCIENTIST
(Athens - visit the office x3 days a week)
Xcede are delighted to be working with one of the world's largest gaming companies on the scale-up of their pre-existing Data Science & Machine Learning Division. The organisation have an enviable wealth of digital / B2C data available to them given the scale of their userbase. The company would like to capitalise further on this, hence their ambitious (but well-defined) hiring plans.
The company is looking to hire experienced Data Scientists at a couple of different levels - Data Scientist / Senior Data Scientist / Principal Data Scientist. Projects will focus on Recommender Systems / Recommendation Engines, Customer Personalisation, etc.
The company have already made some heavyweight appointments, with the ML Leadership team coming from a number of FAANG organisations. This is a fantastic environment to improve your skillset and encounter new ideas.
Requirements
- An academic background in Statistics, Mathematics, or Computer Science (or similar)
- A number of years of commercial experience as a data scientist appropriate to your grade.
- Commercial experience in designing impactful machine learning models
- Experience in helping to take said models to production / deployment
- Python expertise proven by writing production quality code
Bonus Requirements
- System / Recommender System / Recommendation Engine / RecSys experience
- PySpark experience
- Azure DataBricks experience
If this role interests you and you would like to find out more, please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).
DATA SCIENTIST
(Athens - visit the office x3 days a week)
Xcede are delighted to be working with one of the world's largest gaming companies on the scale-up of their pre-existing Data Science & Machine Learning Division. The organisation have an enviable wealth of digital / B2C data available to them given the scale of their userbase. The company would like to capitalise further on this, hence their ambitious (but well-defined) hiring plans.
The company is looking to hire experienced Data Scientists at a couple of different levels - Data Scientist / Senior Data Scientist / Principal Data Scientist. Projects will focus on Recommender Systems / Recommendation Engines, Customer Personalisation, etc.
The company have already made some heavyweight appointments, with the ML Leadership team coming from a number of FAANG organisations. This is a fantastic environment to improve your skillset and encounter new ideas.
Requirements
- An academic background in Statistics, Mathematics, or Computer Science (or similar)
- A number of years of commercial experience as a data scientist appropriate to your grade.
- Commercial experience in designing impactful machine learning models
- Experience in helping to take said models to production / deployment
- Python expertise proven by writing production quality code
Bonus Requirements
- System / Recommender System / Recommendation Engine / RecSys experience
- PySpark experience
- Azure DataBricks experience
If this role interests you and you would like to find out more, please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).
SENIOR DATA ENGINEER
(EU Remote Opportunity)
Xcede are delighted to be working with a very exciting Web3 / Blockchain organisation with a remote working culture. Their company makes life easier for organisations in the Web3 space by providing managed services across a range of operational tasks and responsibilities in one space.
As a Senior Data Engineer in the company, you will have several clear tasks that are essential to the smooth running of processes that make this Product so unique.
Responsibilities
- Design and implement both batch & stream Data Pipelines around the data stores & data lake.
- Lead by example, always aiming to work towards software engineering best practice and disaster prevention (rather than recovery).
- Maintain and optimise the infrastructure across the company.
Requirements
- An academic background in Statistics, Mathematics, or Computer Science (or similar)
- A number of years of commercial working as a Senior Data Engineer (responsible for taking decisions, rather than just writing code)
- An ability to write production quality Python code.
- Experienced creating data pipelines on a cloud (preferably AWS) environment
- CI/CD experience
- Containerization experience (Docker, Kubernetes, etc.)
- Experience with SQS/SNS, Apache Kafka, RabbitMQ
- Other interesting / bonus skills - Airflow, Trino, Apache Iceburg, Postgres, MongoDB
You *must* be eligible to work in your chosen country of residence without sponsorship.
If this role interests you and you would like to find out more, please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).
SENIOR DATA ENGINEER
(EU Remote Opportunity)
Xcede are delighted to be working with a very exciting Web3 / Blockchain organisation with a remote working culture. Their company makes life easier for organisations in the Web3 space by providing managed services across a range of operational tasks and responsibilities in one space.
As a Senior Data Engineer in the company, you will have several clear tasks that are essential to the smooth running of processes that make this Product so unique.
Responsibilities
- Design and implement both batch & stream Data Pipelines around the data stores & data lake.
- Lead by example, always aiming to work towards software engineering best practice and disaster prevention (rather than recovery).
- Maintain and optimise the infrastructure across the company.
Requirements
- An academic background in Statistics, Mathematics, or Computer Science (or similar)
- A number of years of commercial working as a Senior Data Engineer (responsible for taking decisions, rather than just writing code)
- An ability to write production quality Python code.
- Experienced creating data pipelines on a cloud (preferably AWS) environment
- CI/CD experience
- Containerization experience (Docker, Kubernetes, etc.)
- Experience with SQS/SNS, Apache Kafka, RabbitMQ
- Other interesting / bonus skills - Airflow, Trino, Apache Iceburg, Postgres, MongoDB
You *must* be eligible to work in your chosen country of residence without sponsorship.
If this role interests you and you would like to find out more, please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).
SENIOR DATA ENGINEER
(Hertfordshire HQ - circa x1 day a week in office. Commutable from London.)
Xcede are delighted to be working with a well-renowned insurance company based in Hertfordshire. The company have an excellent Data Science and Machine Learning unit supported by a group of Data Engineers who are responsible for Data Pipelines. As a bonus - Data Engineers are also able to help with ML model deployment and MLOps.
Responsibilities
- Design and implement Data Pipelines for both structured and unstructured data.
- Support and improve ML infrastructure - particularly Azure ML.
- Contribute to MLOps across the organisation.
Requirements
- An academic background in Statistics, Mathematics, or Computer Science (or similar)
- A number of years of commercial work as a Senior Data Engineer (responsible for taking decisions, rather than just writing code)
- An ability to write production quality Python code.
- Strong SQL Skills
- Experienced creating data pipelines in a cloud (preferably Azure) environment
- TDD & CI/CD experience
- Containerisation experience (Docker, Kubernetes, etc.)
- MongoDB (or NoSQL) experience
- Terraform experience
- Previous experience in managing the ML lifecycle with MLFlow
If this role interests you and you would like to find out more, please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).
SENIOR DATA ENGINEER
(Hertfordshire HQ - circa x1 day a week in office. Commutable from London.)
Xcede are delighted to be working with a well-renowned insurance company based in Hertfordshire. The company have an excellent Data Science and Machine Learning unit supported by a group of Data Engineers who are responsible for Data Pipelines. As a bonus - Data Engineers are also able to help with ML model deployment and MLOps.
Responsibilities
- Design and implement both Data Pipelines for both structured and unstructured data.
- Support and improve ML infrastructure - particularly Azure ML.
- Contribute to MLOps across the organisation.
Requirements
- An academic background in Statistics, Mathematics, or Computer Science (or similar)
- A number of years of commercial work as a Senior Data Engineer (responsible for taking decisions, rather than just writing code)
- An ability to write production quality Python code.
- Strong SQL Skills
- Experienced creating data pipelines in a cloud (preferably Azure) environment
- TDD & CI/CD experience
- Containerisation experience (Docker, Kubernetes, etc.)
- MongoDB (or NoSQL) experience
- Terraform experience
- Previous experience in managing the ML lifecycle with MLFlow
If this role interests you and you would like to find out more, please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).
Senior Data Engineer
Permanent
£90,000 - £110,000 (or equivalent if outside of the UK)
Fully Remote (can be in the UK or Europe bust must be eligible to work in the country)
Xcede are excited to be partnering with Tech company within the Blockchain space. They are looking for a Senior Data Engineer to work as an IC in optimising and monitoring the existing opensource tech datalake, and helping add to the existing infrastructure.
They are looking for someone with solid experience in Data Engineering with excellent coding skills and a good grasp of software engineering best practices as well as modern infrastructures.
Key skills/experience required:
- A degree in a STEM subject (preferably Computer Science)
- 3-5 years' working as a Data Engineer
- Solid technical skills with Python, SQL and building ETL pipelines
- Strong infrastructure experience ideally utilising terraform or equivalent
- Technical proficiency with AWS stack (or equivalent)
- Software engineering best practice approach
- Good understanding of modern tech stack tooling
- An interest in the blockchain industry
No sponsorship available.
For more information, please send an up-to-date CV to nathan.carolan@xcede.com
Data Engineering, Data pipelines, ETL, ELT, Modern tech stack, AWS, Postgres, MongoDB, Airflow, Trino, Python, SQL, Terraform, Kubernetes, CI/CD, Redshift, Data Modelling
Senior Data Scientist - Recommendation Systems
London x3 days in office
Xcede are delighted to be partnering with a very exciting scale-up. The company is operating on a need-to-know basis right now, so if you want to learn more about this one please get in touch!
Responsibilities
- Help to build the Recommender System that powers the company's core platform.
- Help to define the company's Product strategy through creating impactful tools for customers / members.
- Mentor junior engineering & data science hires.
Requirements
- Strong academic background in a relevant field (Statistics, Computer Science, etc.)
- Years of commercial experience working on and deploying recommendation engines
- Excellent Machine Learning and Deep Learning skills
- Experience of working and deploying at scale
- Knowledge Graph and entity linking experience
- General RecSys experience
If this role interests you and you would like to find out more, please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).
DATA SCIENTIST - NLP
(London - 2 days in office per week)
Xcede are delighted to be working with one of the most innovative companies in the LegalTech space providing advanced and market-leading intelligence services. Significantly, the organisation has invested in an ML/NLP-driven solution to automate this process, allowing them to work at a significant scale. Despite the company's global client base and reach, you have the lovely bonus of working with a small, tight-knit team of experienced Machine Learning professionals.
This is a fantastic opportunity to make a tangible impact with your work and utilise cutting-edge LLMs within an NLP context.
Responsibilities
- Helping to define and implement NLP-led projects within the core Product.
- Work with the ML Engineering team to help productionise and scale the algorithms.
- Mentor junior team members
Requirements
- Strong academic background in a relevant field (Statistics, Computer Science, etc.)
- Significant experience utilising NLP in a commercial setting, ideally for information extraction, entity recognition, etc.
- Experience working with transformers-based models such as BERT, GPT, etc.
- Extensive Deep Learning & Machine Learning knowledge.
- Usage of LLMs in a commercial environment is a bonus.
- PyTorch experience a major bonus - other ML frameworks are also accepted.
- Docker & Kubernetes experience is a bonus.
If this role interests you and you would like to find out more, please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).
MACHINE LEARNING RESEARCHER
(London - visit the office 3 days a week)
Xcede are delighted to be working with one of the most important ML Research Labs in the UK. The innovation hub sits within one of the world's largest tech & manufacturing brands
The team are working on prototypes & proof-of-concept projects to be taken to important senior internal stakeholders and ultimately be embedded in the company's core operations and services (or released as separate Products).
Responsibilities
- Alongside experienced Researcher, work on prototypes that will ultimately make a huge impact.
- Explaining these ideas of stakeholders
- Helping to definite the future direction of Innovation within this global brand.
Requirements
- Strong academic background in a relevant field (Statistics, Computer Science, etc.) - PhD background strongly preferred (alongside further post-doc research)
- Excellent knowledge in a range of statistical, machine learning, and deep learning-based methodologies (classification, regression, etc. through to RNNs, signal processing, etc.)
- Ability to communicate complicated and often hugely technical subjects simply to stakeholders in an effective way.
If this role interests you and you would like to find out more, please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).
Data Engineering Manager
Permanent
£100,000 - £105,000 + benefits
London (hybrid working - 1 day per week in office)
Xcede are excited to be partnering with a Publishing company who are looking to hire a Data Engineering Manager.
They are looking for someone with extensive Data Engineering experience who can line manage a Global team of 4 experienced Data Engineers and bridge the gap between technology and the business. The main focus of this role is management, strategy, and Global stakeholder management. There will be a small element of hands on work, but the team are experienced, so most of this role will be strategy.
Key skills/experience required:
- A degree in a STEM subject
- Background as a Data Engineer + at least 2 years working as a manager of Data Engineers
- Proven leadership experience with ability to manage and improve team members
- Excellent senior stakeholder management skills
- Ability to influence overall data strategy
- Technical proficiency with Azure stack
- Python/SQL expertise
- Experience managing Global teams and comfortable managing different timezones
For more information, please send an up-to-date CV to nathan.carolan@xcede.com
Data Engineering Manager, Data pipelines, ETL, ELT, Modern tech stack, Azure , Python, SQL, Databricks, Data Modelling, Leadership, Strategy, Global
Data Engineering Manager
London (1 day per week in office)
£90,000 - £105,000 Salary + Benefits
Xcede are excited to be partnered with a major publishing company in looking for a Data Engineering Manager. The succesful candidate will be required to lead a team of on-shore and off-shore Data Engineers whilst remaining hands on. The tech stack is Azure/Databricks, however they are cloud agnostic so will consider candidates from any cloud background.
Key skills/experience:
- Degree in a STEM subject or equivalent
- Prior experience as a Data Engineering Manager or Lead Data Engineer
- Excellent python coding skills
- Strong experience building ETL/ELT Data pipelines
- Experience working with cloud providers (Azure preferred but will consider AWS/GCP)
- Excellent strategical approach
- Excellent stakeholder management skills
- Excellent people management skills (prefereably with global teams)
Please register your interest by sending your CV to nathan.carolan@xcede.com or click the Apply Link!
Data Engineering, Python, SQL, Azure, Data Factory, Databricks, Data Pipelines, Management, Strategy
MACHINE LEARNING ENGINEER
We are seeking another highly skilled and experienced ML Engineer to join our client's well-established team in London. In this role, you will be responsible for building and maintaining their data infrastructure, as well as productionising machine learning models and algorithms.
Key responsibilities:
- Build and maintain a robust and scalable data infrastructure that enables efficient data processing and model training
- Work closely with data scientists to productionise & deploy machine learning models and algorithms
- Collaborate with software engineers to integrate machine learning models into production systems
- Monitor and optimise model performance in production
- Contribute to the development of best practices and standards for machine learning engineering within the organization
- Stay up to date with the latest developments in machine learning and data engineering technologies
Qualifications:
- Strong understanding of machine learning concepts and techniques
- Proficiency in at least one programming language (ideally Python)
- Experience with data processing and storage technologies (PySpark a bonus)
- Knowledge of machine learning frameworks, such as TensorFlow or PyTorch
- Experience with cloud computing platforms, such as AWS or Azure
- Strong problem-solving and communication skills
- BS or MS in Computer Science or a related field is preferred, but not required
For more information on this and other roles, please contact me via niall.wharton@xcede.com
Senior Data Scientist
(London - visit the office x2+ days a month)
Xcede are delighted to be working with one of the most innovative companies in the FinTech space tackling issues around fraudulent activity, anti-money laundering measures, and customer authentication / identification. Significantly, the organisation has invested in an ML-driven solution to automate this process, allowing them to work at a significant scale. Despite the company's global client base and reach, you have the lovely bonus of working with a small, tight-knit team of experienced Machine Learning professionals.
This is a fantastic opportunity to make a tangible impact with your work and utilise cutting-edge LLMs within an NLP context.
Responsibilities
- Helping to define and implement NLP-led projects within the core Product.
- Work with the ML Engineering team to help productionise and scale the algorithms.
- Mentor junior team members
Requirements
- Strong academic background in a relevant field (Statistics, Computer Science, etc.)
- Significant experience utilising NLP in a commercial setting, ideally for NER/ Document understanding, etc. Hugging Face a bonus.
- Experience working with transformers-based models such as BERT, GPT, etc.
- Extensive Deep Learning & Machine Learning knowledge.
- Usage of LLMs in a commercial environment is a bonus.
- PyTorch experience a major bonus - other ML frameworks are also accepted.
- Docker & Kubernetes experience is a bonus.
If this role interests you and you would like to find out more, please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).
Senior Data Scientist
(London - visit the office x2+ days a month)
Xcede are delighted to be working with one of the most innovative companies in the FinTech space tackling issues around fraudulent activity, anti-money laundering measures, and customer authentication / identification. Significantly, the organisation has invested in an ML-driven solution to automate this process, allowing them to work at a significant scale. Despite the company's global client base and reach, you have the lovely bonus of working with a small, tight-knit team of experienced Machine Learning professionals.
This is a fantastic opportunity to make a tangible impact with your work and utilise cutting-edge LLMs within an NLP context.
Responsibilities
- Helping to define and implement NLP-led projects within the core Product.
- Work with the ML Engineering team to help productionise and scale the algorithms.
- Mentor junior team members
Requirements
- Strong academic background in a relevant field (Statistics, Computer Science, etc.)
- Significant experience utilising NLP in a commercial setting, ideally for NER/ Document understanding, etc. Hugging Face a bonus.
- Experience working with transformers-based models such as BERT, GPT, etc.
- Extensive Deep Learning & Machine Learning knowledge.
- Usage of LLMs in a commercial environment is a bonus.
- PyTorch experience a major bonus - other ML frameworks are also accepted.
- Docker & Kubernetes experience is a bonus.
If this role interests you and you would like to find out more, please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).
LEAD DATA ENGINEER
London x2 days a month in office
OVERVIEW
Xcede are delighted to be partnered with one of the UK's most impactful HealthTech brands. The organisation have won numerous awards for their data-led approach to designing an impactful B2C product that has entirely disrupted their domain and outperformed their competitors.
With a well-established analytics, data science, and data engineering function already in place, the team is looking for a Lead Data Engineer to come in act primarily as a Principal IC while also helping with management of junior engineers (we'd like to see some experience of this).
RESPONSIBILITIES
- Manage and assist a team of data engineers.
- Design and continue to build essential data infrastructure for the organisation alongside data pipelines & ETLs.
- Collaborate with data scientists and machine learning engineers to design and implement scalable and efficient ML-based solutions.
- Coach and mentor your junior team members.
REQUIREMENTS
- BSc/ MSc / PhD degree in Computer Science or STEM subject
- Demonstratable commercial experience working on Data Pipelines, Data Warehouse, and ETLs.
- Strong Python coding skills
- GCP experience (GCP Datastream, Pub/Sub, Dataflow, Dataform, BigQuery)
- Experience with modern development methods and tooling:
- containers (e.g., Docker)
- container orchestration (Kubernetes / K8s)
- CI/CD experience
- Version control (Git, Github, Gitlab)
- Orchestration / DAGs tools (e.g., Argo, Airflow, Kubeflow)
- Infrastructure as Code (Terraform, etc.)
HOW TO APPLY
Please register your interest by sending your CV to niall.wharton@@xcede.com or click the Apply Link.
Senior Data Engineer (Snowflake)
London - x2 days in office a month as a rough expectation.
Xcede is delighted to be recruiting a Senior Data Engineer on behalf of a market leader in the retail and e-commerce space. Our continues to invest in innovation, delivering unparalleled shopping experiences to millions of customers in several formats. As they continue to expand their operations and enhance their digital capabilities, they're seeking an experienced Senior Data Engineer who shares their ambition for well-structured, stable, scalable Data management systems.
The Senior Data Engineer should come with a proven track record in managing large-scale data infrastructures and pipelines that support sophisticated analytics. The ideal candidate will be responsible for designing, building, and maintaining robust data solutions that drive strategic decision-making across multiple business units. This role is for someone who principally still loves to code, but who also feels comfortable engaging with stakeholders and mentoring others.
Key Responsibilities:
- Design and implement scalable data architectures using modern cloud platforms. Our client have a strong preference for Snowflake experience, but are open to those from a GCP / AWS / Azure background more generally.
- Develop high-performance ETL/ELT processes for batch and (ideally) real-time data integration.
- Ensure optimal extraction, transformation, loading (ETL) processes by implementing quality checks and balances.
- Collaborate with cross-functional teams including data scientists, analysts, and stakeholders to understand their data needs.
- Support machine learning model deployments by ensuring seamless access to quality datasets.
- Troubleshoot complex issues arising from extensive big-data environments.
- Maintain comprehensive documentation of systems architecture and workflows.
Qualifications:
- Ideally, a Bachelor's degree in Computer Science or related field; Master's preferred.
- Several years of demonstrated commercial experience as a Data Engineer or similar role within large-scale environments dealing with large data sets.
- Expertise in SQL & dbt.
- Significant Python coding skills
- Containerisation experience (Dockers, Kubernetes)
- Cloud Computing experience ( GCP / AWS / Azure )
- Strong preference for a Snowflake background
- Knowledgeable working infrastructure-as-code tools Terraform, Ansible etc.
- Clear commercial experience in an automation & TDD environment - testing is of the utmost importance to our client.
Our Client Offer:
- A Competitive compensation package including a discretionary bonus and strong benefits
- Flexible work arrangements (come to the office as much as you want - equally the engineering team functions as a UK-based remote first group)
- A collaborative work environment (you'll notice the long tenures in the company)
- Continuous professional growth development
If this role interests you and you would like to find out more, please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).
NLP Machine Learning Engineer
FinTech Company
Permanent
£60,000 - £80,000 + benefits
London (hybrid - 1 day a week in the office minimum)
Xcede are excited to be partnering with an AI focused Tech company who are looking to add to their Data Science team. They are looking for an NLP focused ML Engineer who is experienced in building models and deploying them.
Their cutting edge product is NLP focused, so you would have the opportunity to work on lots of unstructured data and make an impact with their Financial Services clients. They have lots of exciting projects working on Large Language Models.
Key skills/experience required:
- A degree in STEM subject
- 2+ years industry experience
- Solid experience building ML and Deep Learning models
- Industry experience focused on using NLP techniques to train models
- Experience building and finetuning Large Language Models (LLMs)
- Experience developing ML solutions to Cloud
- Excellent grasp of Python/SQL + machine learning core libraries
- Excellent stakeholder management skills
For more information, please send an up-to-date CV to nathan.carolan@xcede.com
Machine Learning Engineer, Data Scientist, Data Science, Machine Learning, Python, NLP, Natural Language Processing, Computer Science, Statistics, Data pipelines, SQL, Regression, Clustering, XGBoost, Random Forest, Decision Trees, Predictive modelling, FinTech, ML Ops, Deep Learning, Neural Networks, Deployment, Containerisation, Generative AI, LLMs, large language models
Senior ML Scientist
FinTech Company
Permanent
£80,000 - £95,000 + benefits
London (hybrid - 2 days a week in the office)
Xcede are excited to be partnering with an AI focused FinTech company who are looking to hire a talented individual to their Data Science/Machine Learning team. They are looking for an NLP focused Data Scientist who is experienced in building models and deploying them.
Their cutting edge product is NLP focused, so you would have the opportunity to work on lots of unstructured data and make an impact with their Financial Services clients. They have lots of exciting projects working on Large Language Models.
Key skills/experience required:
- A degree in STEM subject
- 4+ years industry experience
- Solid experience building ML and Deep Learning models
- Industry experience focused on using NLP techniques to train and deploy models
- Experience building and finetuning Large Language Models (LLMs)
- Experience developing ML solutions to Cloud
- Excellent grasp of Python/SQL + machine learning core libraries
- Excellent stakeholder management skills
No sponsorship available for this role, unfortunately.
For more information, please send an up-to-date CV to nathan.carolan@xcede.com
Machine Learning Engineer, Data Scientist, Data Science, Machine Learning, Python, NLP, Natural Language Processing, Computer Science, Statistics, Data pipelines, SQL, Regression, Clustering, XGBoost, Random Forest, Decision Trees, Predictive modelling, FinTech, ML Ops, Deep Learning, Neural Networks, Deployment, Containerisation, Generative AI, LLMs, large language models
NLP Machine Learning Engineer
London office x1-2 days per week
£60,000 to £75,000 Salary + Bonus & Benefits
OVERVIEW
A great opportunity for a Machine Learning Engineer/ NLP Engineer with solid experience in fine-tuning Large Language Models to join a strong FinTech scale-up with a high-calibre team in place. Your responsibilities as a Machine Learning Engineer will include but not be limited to:
- Leverage Machine Learning/ NLP techniques to build Large Language Models.
- Fine-tune Large Language models and optimise them through applied Machine Learning.
- Help in driving an AI led culture throughout the business
YOUR SKILLS & EXPERIENCE
- Degree in a STEM subject
- Min. 2 years commercial experience in NLP/Transformers & ML
- Excellent experience with Deep Learning models
- Strong production ready coding skills in Python
- Strong experience in fine-tuning Large Language Models
- End-to-end DS experience from training models to deployment
- Excellent stakeholder management skills
No sponsorship available on this role.
HOW TO APPLY
Please register your interest by sending your CV to nathan.carolan@xcede.com or click the Apply Link!
Machine Learning, Python, NLP, LLMS, Large language models, FineTuningDeep Learning, Transformers, Huggingface, Pytorch, Computer Science
Senior NLP Machine Learning Engineer
London office x1-2 days per week
£80,000 to £95,000 Salary + Bonus & Benefits
OVERVIEW
A great opportunity for a Senior Machine Learning Engineer/ Senior NLP Engineer with solid experience in fine-tuning Large Language Models to join a strong FinTech scale-up with a high-calibre team in place. Your responsibilities as a Senior Machine Learning Engineer will include but not be limited to:
- Leverage Machine Learning/ NLP techniques to build Large Language Models.
- Fine-tune Large Language models and optimise them through applied Machine Learning.
- Help in driving an AI led culture throughout the business
YOUR SKILLS & EXPERIENCE
- Degree in a STEM subject
- Min. 4 years commercial experience in NLP/Transformers & ML
- Excellent experience with Deep Learning models
- Strong production ready coding skills in Python
- Strong experience in fine-tuning Large Language Models
- End-to-end DS experience from training models to deployment
- Excellent stakeholder management skills
No sponsorship available on this role.
HOW TO APPLY
Please register your interest by sending your CV to nathan.carolan@xcede.com or click the Apply Link!
Machine Learning, Python, NLP, LLMS, Large language models, FineTuningDeep Learning, Transformers, Huggingface, Pytorch, Computer Science
Senior Data Engineer
£75,000 to £90,000
Flexible working - Ideally 2 day a month London
My Client is a market leader in the retail and e-commerce space who invest in innovation, delivering unparalleled shopping experiences to millions of customers in several formats. They are looking for a experienced Senior Data Engineer to join their growing team and help drive their scalable Data management systems.
You should come with a proven track record in managing large-scale data infrastructures and pipelines that support sophisticated analytics. The ideal candidate will be responsible for designing, building, and maintaining robust data solutions that drive strategic decision-making across multiple business units. This role is for someone who principally still loves to code, but who also feels comfortable engaging with stakeholders and mentoring others.
Key Responsibilities:
- Design and implement scalable data architectures using modern cloud platforms. Our client have a strong preference for Snowflake experience, but are open to those from a GCP / AWS / Azure background more generally.
- Develop high-performance ETL/ELT processes for batch and (ideally) real-time data integration.
- Ensure optimal extraction, transformation, loading (ETL) processes by implementing quality checks and balances.
- Collaborate with cross-functional teams including data scientists, analysts, and stakeholders to understand their data needs.
- Support machine learning model deployments by ensuring seamless access to quality datasets.
- Troubleshoot complex issues arising from extensive big-data environments.
- Maintain comprehensive documentation of systems architecture and workflows.
What you need to succeed:
- Ideally, a Bachelor's degree in Computer Science or related field; Master's preferred.
- Several years of demonstrated commercial experience as a Data Engineer or similar role within large-scale environments dealing with large data sets.
- Expertise in SQL & dbt and ideally Kafka
- Significant Python coding skills
- Containerisation experience (Dockers, Kubernetes)
- Cloud Computing experience ( AWS / Azure )
- Strong preference for a Snowflake background but open to Bigquery or Redshift
Unfortunately sponsorship cannot be provided for this role
Staff Data Scientist
Full time
£100,000 - £115,000 + benefits
London (Hybrid)
My client is a large global organisation looking to help make positive impact on the environment and they are looking for strong leaders to help contribute to this mission in their B2B digital function. This role will include working on improving the technical capabilities as well as managing stakeholder relationships
Responsibilities
- Collaborate with a diverse team of data scientists, data engineers, software engineers, data managers, and business partners as part of a cross-disciplinary effort.
- Work alongside data engineers and software engineers to develop scalable and impactful data science products, incorporating statistical and machine learning algorithms.
- Conduct thorough data analyses to extract valuable business insights.
- Provide data science best practices, including technical design, technical design review, unit testing, monitoring and alerting, code check-ins, code reviews, and documentation.
- Provide mentorship and guidance to team members.
Qualifications
- Must have extensive hands-on experience 6 years+ working fully end to end from modelling through to production and deployment
- Experience with A/B testing
- Possess in-depth applied knowledge of data science tools and approaches across all stages of the data life cycle
- Demonstrate thorough understanding of the underlying mathematical foundations of statistics and machine learning
- Strong experience of Python and SQL
- Previous experience with any of the following, Hadoop, Hive, and Spark
Unfortunately sponsorship isn't provided for this role