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 

With 3 years in tech recruitment, Matt joins the team in London as a Senior Consultant. His specialist areas are Data and AI & Machine Learning.

Matt Watson

Senior Consultant

Machine Learning Engineer - Gen AI - London - 6 months - Upto £650 p/d - Outside IR35 I am currently seeking a freelance Machine Learning Engineer to support a major client with a Microsoft/Open AI Co-Pilot project. The ideal candidate will have solid experience working across the whole AI lifcycle and understand how to take a new product from inception, to deployment in an Azure environment!Skills required:<ul><li>Architect and implement core AI systems from the ground up</li><li>Shape AI strategy and technology stack around modern principles</li><li>Develop innovative AI features leveraging various methodologies (e.g., LLMs, RAG, traditional ML)</li><li>Design and implement data strategies for AI development and training</li><li>Explore and apply diverse AI techniques to solve complex problems</li><li>Establish best practices for AI development, testing, and deployment</li><li>Stay at the forefront of AI advancements, evaluating their potential for our use cases</li><li>Lay the groundwork for future AI capabilities and team expansion</li></ul>If this sounds like an ideal position for yourself please reach out to Matt Watson @ Xcede with an updated CV.

AI/ML Engineer

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Matt Watson

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