Lead Machine Learning EngineerUp to £110,000 + Car Allowance + 30% BonusLondon office x1 day per week OVERVIEWAn internationally established major retail brand are hiring for a Lead Machine Learning Engineer to join a strong ML function, managing a team of Data Scientists and engaging with senior business stakeholders. You will be spearheading an ML/ Data Science team, delivering production level machine learning projects at scale for the business, being responsible for driving forward some major ML/ AI initiatives within the wider Data team. Your responsibilities as a Lead Machine Learning Engineer will include but not be limited to:<ul><li>Manage a team of Data Scientists/ ML Engineers, direct line management responsibilities including training and personal development, performance and making hiring decisions.</li><li>Technically lead key Machine Learning/ AI initiatives within the Data Science function, still being hands on technically where necessary.</li><li>Engage with senior level business stakeholders, communicating technical concepts to non-technical audiences and demonstrating the value of AI/ ML with your projects.</li></ul> YOUR SKILLS &amp; EXPERIENCEA successful Lead ML Engineer will have the following:<ul><li>Proven experience managing a team of Data Scientists/ ML Engineers.</li><li>Several years experience as a Data Scientist/ ML Engineer, some of which is a Senior/ Lead capacity.</li><li>Experience delivering production level ML solutions at scale within a reputable company/ data science function.</li><li>Experience working in customer-centric environments such as retail, telecoms, B2C industries are preferred.</li></ul> HOW TO APPLYPlease register your interest by sending your CV to luke.frost@xcede.com or click the Apply Link!

Lead Machine Learning Engineer

Data EngineerLondon office x3 days per weekUp to £85,000 Salary OVERVIEWSuccessful AI Scale Up in Medical Technology/ Digital Health are hiring for a Data Engineer with a focus on optimising the data architecture and building reliable and scalable data pipelines for the application of advanced analytics and machine learning. You will be joining a strong Data team and reporting directly into the Head of Engineering. YOUR RESPONSIBILITIES:The Data Engineer's responsibilities will include, but not be limited to:<ul><li>Design, build and maintain scalable Data pipelines.</li><li>Maintain Data dashboards through data visualisation.</li><li>Ensure the quality and security of data processes.</li><li>Work closely and collaborate with the Machine Learning, Application and Analytics teams to understand data requirements and deliver projects.</li></ul> YOUR SKILLS &amp; EXPERIENCEA successful Data Engineer will have the following:<ul><li>Min 4 years proven commercial experience as a Data Engineer.</li><li>Experienced in building ETL processes and scalable data pipelines.</li><li>Experience in Python/ Java, SQL and cloud data infrastructure (AWS, Azure of GCP).</li><li>Familiarity with tools or similar technologies such as Kafka, Airflow, Apache Spark.</li></ul> HOW TO APPLYPlease register your interest by sending your CV to luke.frost@xcede.com for more info!

Data Engineer

Senior Computer Vision EngineerLondon office x3 days per weekCompetitive Salary OVERVIEWSuccessful AI Scale Up in Medical Technology/ Digital Health are hiring for a Senior Computer Vision Engineer with a focus on object detection &amp; recognition and multimodal LLMs for their cutting-edge AI platform. Joining a top-tier team of Computer Vision Engineers to deliver exceptional work in the AI &amp; Digital Health space. Applicants must have strong experience in writing production level code to build Computer Vision products and solutions (ideally 4+ years) with a focus on object detection and recognition, multimodal LLMs and leveraging expertise in Deep Learning techniques. YOUR RESPONSIBILITIES:The Senior Computer Vision Engineer's responsibilities will include, but not be limited to:<ul><li>Apply Object Detection &amp; Recognition techniques to build deliver cutting-edge work for an AI Platform in Digital Health.</li><li>Leverage experience in data augmentation and integrating multimodal data sources including RBG &amp; NIR as well as Multimodal LLMs.</li><li>Apply novel approaches to cutting-edge research projects in computer vision and deep learning.</li><li>Collaborate within a high performing team of Computer Vision Engineers, in a test-driven development environment and write production level code to engineer solutions at scale for the platform.</li></ul> YOUR SKILLS &amp; EXPERIENCEA successful Senior Computer Vision Engineer will have the following:<ul><li>Minimum of MSc (ideally PhD) + 4 years of experience in commercial real-world applications, leveraging Computer Vision techniques including Object Detection &amp; Recognition, Image Segmentation and Multimodal LLMs.</li><li>Proficiency in Python, OpenCV, PyTorch, Numpy.</li><li>Experience with imaging modalities (RGB, NIR) to enhance computer vision models.</li><li>Ability to write production level code in Python (C++ is also desirable) and ideally prior experience working in test-driven development environment</li><li>Experience applying object detection and recognition techniques to metallic or highly reflective objects is highly desirable.</li><li>Experience with LiDAR and imaging sensors for mobile applications in Computer Vision is desirable, but not essential.</li></ul> HOW TO APPLYPlease register your interest by sending your CV to luke.frost@xcede.com for more info!

Senior Computer Vision Engineer

My customer is currently searching for 2 Senior Data Scientists who can help drive Marketing Effectiveness using Marketing Mix Modelling, Multi-Touch Attribution, and other models.As the Senor Data Scientist, you will oversee and be responsible for data collection including data extraction and manipulation, data analysis and validation. You will build base models according to the project specification, incorporating all drivers of KPIs, providing rationale for variables selection, understanding coefficients and contribution. Then take these base models, oversee or build in additional improvements and progress the model towards finalisation.Key skills include;<ul><li>Minimum of 5 years of proven experience in developing and implementing Marketing Mix Models</li><li>Be an expert in Python and familiar with R programming for MMM Models</li><li>Have in depth understanding of statistical modelling / ML techniques</li><li>Strong experience with Regression based models applied to the context of MMM modelling</li><li>Solid experience with Probabilistic Programming and Bayesian Methods</li><li>Be an expert in mining large &amp; very complex data sets using SQL and Spark</li><li>Have in depth understanding of statistical modelling techniques and their mathematical foundations,</li><li>Have a good working knowledge of Pymc and cloud-based data science frameworks and toolkits. Working knowledge of Azure is preferred</li><li>Have a deep knowledge of a sufficiently broad area of technical specialism (Optimisation, Applied Mathematics, Simulation)</li><li>MS or PhD degree in Data Science, Computer science, applied mathematics, statistics, or another relevant discipline with a strong foundation in modelling and computer science.</li></ul>

Senior Data Scientist 

​Since setting up Xcede's Data Science and Data Engineering Recruitment offering from scratch back in 2013, Niall has earned nearly a decade of experience recruiting in this specialist area of the data space. Alongside his colleague Matthew, Niall was one of the first UK recruiters to place Data Science roles and has witnessed the industry evolve from the ground up. Being one of the first recruiters in the UK to focus on this arena of Data, Niall has played a key role in curating Xcede’s industry-leading events in the data recruiting space. Niall consults for roles at each level from Associate through to Director, for a range of jobs including Senior Data Scientist and Head of Analytics to Machine Learning Engineer and Big Data Architect and beyond. He has since been promoted to Associate Director.​

Niall Wharton

Associate Director

<div class="job-preview__description ">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 &amp; 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<ul><li>An academic background in Statistics, Mathematics, or Computer Science (or similar)</li><li>A number of years of commercial experience as a data scientist appropriate to your grade.</li><li>Commercial experience in designing impactful machine learning models</li><li>Experience in helping to take said models to production / deployment</li><li>Python expertise proven by writing production quality code</li></ul> Bonus Requirements<ul><li>System / Recommender System / Recommendation Engine / RecSys experience</li><li>PySpark experience</li><li>Azure DataBricks experience</li></ul>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). </div>

Senior Data Scientist

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Niall Wharton

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