machine support engineer jobs in Greater London

MLOps Engineer Location: London, UK (Hybrid – 2 days per week in office) Day Rate: Market rate (Inside IR35 Duration: 6 months Role Overview As an MLOps Engineer, you will support machine learning products from inception, working across the full data ecosystem. This includes developing application-specific data pipelines, building CI/CD pipelines that automate ML model training and...

Job Description Machine Learning Engineer London – (3 days a week in office) Up to £90,000 About the Role Our client is a data-driven organisation focused on delivering measurable operational and financial improvements across a range of industries. They combine deep technical expertise with real-world delivery to design, build and deploy machine learning solutions that create tangible...

Machine Learning Engineer £45,000 - £65,000 GBP £7,000 DV Bonus Hybrid WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Title: Machine Learning Engineer Area : National Security Projects Location: London (Hybrid) - 3 days per week Security : Eligibility for Developed Vetting Clearance with the UK Government Salary: Up to £65k + £7k annual DV bonus (once...

You will define engineering strategy for large-scale machine learning initiatives, architect and deliver resilient AI platforms, lead multi-stream programmes in ambiguous environments, build shared internal tooling, hire and mentor senior engineers, introduce new technologies and ways of working, and act as a trusted technical authority for senior stakeholders.

You will be responsible for building robust, scalable ML systems that bring our foundation models for retail from prototype to production. Key Responsibilities - Design and build production-grade ML infrastructure, including training pipelines, model serving, and monitoring systems.

You will be one of the first hires at a mission-driven startup redefining personalized healthcare. By leveraging rich voice and text data, you will build and fine-tune machine learning models and LLM-integrated APIs. Your work will bridge the gap between cutting-edge AI and human care to empower providers and patients.

Job Description MLOps Engineer Location: London, UK (Hybrid – 2 days per week in office) Day Rate: Market rate (Inside IR35 Duration: 6 months Role Overview As an MLOps Engineer, you will support machine learning products from inception, working across the full data ecosystem. This includes developing application-specific data pipelines, building CI/CD pipelines that automate ML model...

You will be one of the first hires at a mission-driven startup redefining personalized healthcare. By leveraging rich voice and text data, you will build and fine-tune machine learning models and LLM-integrated APIs. Your work will bridge the gap between cutting-edge AI and human care to empower providers and patients.

You will work on the entire lifecycle of our models, from research and development to high-performance deployment. Key responsibilities include: - Developing, training, and validating state-of-the-art models for a variety of computer vision tasks, including detection, segmentation, and classification.

Job Description What you’ll be doing Model Development: Design, train, and optimise machine learning models for user personalisation, including recommendation systems, ranking models, user segmentation, and content understanding, with a strong focus on TensorFlow-based development. Data Pipeline Engineering: Build and maintain scalable data pipelines to support feature engineering and model...

You will be the primary interface between Data Science and Platform Engineering, enabling rapid iteration while enforcing production and compliance standards.

Machine Learning Engineer London – (3 days a week in office) Up to £90,000 About the Role Our client is a data-driven organisation focused on delivering measurable operational and financial improvements across a range of industries. They combine deep technical expertise with real-world delivery to design, build and deploy machine learning solutions that create tangible business impact. As a...

You will be one of the first hires at a mission-driven startup redefining personalized healthcare. By leveraging rich voice and text data, you will build and fine-tune machine learning models and LLM-integrated APIs. Your work will bridge the gap between cutting-edge AI and human care to empower providers and patients.

Machine Learning Engineer | Early Stage Deep Tech Start Up | London I am partnered with an early stage, London based start up that is building an AI native intelligence layer for private market investing. The platform transforms fragmented documents, deal histories, and proprietary investment data into structured, searchable intelligence for private equity, venture capital, and private credit...

ML Engineer - Must hold active DV Clearance You could be just the right applicant for this job Read all associated information and make sure to apply.This is an exciting time to join a team to help pioneer both customer's and an AI adoption journey. Not only will you be directly making a huge impact through the solutions you develop, youll be doing it for an organisation who makes a huge impact...

You will work on the entire lifecycle of our models, from research and development to high-performance deployment. Key responsibilities include: - Developing, training, and validating state-of-the-art models for a variety of computer vision tasks, including detection, segmentation, and classification.

MLOps Engineer Location: London, UK (Hybrid – 2 days per week in office) Day Rate: Market rate (Inside IR35 Duration: 6 months Role Overview As an MLOps Engineer, you will support machine learning products from inception, working across the full data ecosystem. This includes developing application-specific data pipelines, building CI/CD pipelines that automate ML model training and...

You will define engineering strategy for large-scale machine learning initiatives, architect and deliver resilient AI platforms, lead multi-stream programmes in ambiguous environments, build shared internal tooling, hire and mentor senior engineers, introduce new technologies and ways of working, and act as a trusted technical authority for senior stakeholders.

Job Description Lead Machine Learning Engineer Up to 145k Xcede has just partnered with one of the UK’s most established applied AI companies to support the growth of their senior engineering leadership team. This is a principal-level technical role for someone who wants to shape how large-scale AI systems are designed, built, and delivered across multiple industries. You’ll take ownership of...

Senior Machine Learning Engineer London Are you a Senior ML Engineer who wants to build AI that genuinely matters? Our client is a leading digital technology organisation delivering AI, data, and software solutions to UK public sector and national security customers. They are expanding their machine learning capability and are seeking an experienced engineer to design, evaluate, and deploy...