751 to 772 of 772 Machine Learning Jobs in the UK excluding London

scale while working on genuinely complex technical challenges. You'll own the engineering roadmap across all products, driving architectural decisions for distributed data processing, ML pipelines, and modern web systems that handle massive datasets for enterprise clients. THE COMPANY: This is a business built on innovation, stability, and genuine technical … excellence. Recently recognized for cutting-edge GenAI data work, they're operating at the absolute intersection of large-scale distributed systems, ML, and the rapid evolution of search technology. THE ROLE: Own and execute the engineering roadmap Drive architectural decisions for distributed data processing, ML pipelines, and web architecture Ensure ...

scale while working on genuinely complex technical challenges. You'll own the engineering roadmap across all products, driving architectural decisions for distributed data processing, ML pipelines, and modern web systems that handle massive datasets for enterprise clients. THE COMPANY: This is a business built on innovation, stability, and genuine technical … excellence. Recently recognized for cutting-edge GenAI data work, they're operating at the absolute intersection of large-scale distributed systems, ML, and the rapid evolution of search technology. THE ROLE: Own and execute the engineering roadmap Drive architectural decisions for distributed data processing, ML pipelines, and web architecture Ensure ...

need some here, but you'll work with the Senior R&D engineer who will guide you on coding) Practical understanding of AI/ML landscape (LLMs, APIs, strengths & limitations) Strong analytical thinking and structured evaluation skills Excellent written communication — clear, concise, decision-ready outputs Self-directed working style with ...

that can drive your career in new and exciting ways In our team you will learn: How to help clients to use AI/ML technologies to solve business challenges How to design, deploy and run high quality AI/ML solutions across a range of industries with varying business ...

participate in architectural discussions Familiarity with agile and DevOps practices: sprints, user stories, backlogs, continuous integration/delivery, monitoring Understanding of AI/ML concepts sufficiently to evaluate feasibility and ROI of AI-driven features; ability to communicate with data scientists and ML engineers Domain Expertise: Healthcare & Insurance Minimum 5+ ...

participate in architectural discussions Familiarity with agile and DevOps practices: sprints, user stories, backlogs, continuous integration/delivery, monitoring Understanding of AI/ML concepts sufficiently to evaluate feasibility and ROI of AI-driven features; ability to communicate with data scientists and ML engineers Domain Expertise: Healthcare & Insurance Minimum 5+ ...

participate in architectural discussions Familiarity with agile and DevOps practices: sprints, user stories, backlogs, continuous integration/delivery, monitoring Understanding of AI/ML concepts sufficiently to evaluate feasibility and ROI of AI-driven features; ability to communicate with data scientists and ML engineers Domain Expertise: Healthcare & Insurance Minimum 5+ ...

participate in architectural discussions Familiarity with agile and DevOps practices: sprints, user stories, backlogs, continuous integration/delivery, monitoring Understanding of AI/ML concepts sufficiently to evaluate feasibility and ROI of AI-driven features; ability to communicate with data scientists and ML engineers Domain Expertise: Healthcare & Insurance Minimum 5+ ...

centre of the technical engine that will power all future growth and joining at this stage offers: Meaningful ownership and huge learning opportunities Personal progression with a clear route to a senior leadership role Freedom to influence technology choices Exposure to fascinating operational problems across a variety of sectors … following is beneficial: Workflow automation platforms (e.g., Make, n8n, Zapier, Workato) API design, integration, authentication Python, JavaScript or similar scripting languages AI/ML models (LLMs, embeddings, classification, summarisation) Data wrangling and ETL tools Cloud platforms and serverless architectures RPA or orchestration frameworks We need someone who can build ...

centre of the technical engine that will power all future growth and joining at this stage offers: Meaningful ownership and huge learning opportunities Personal progression with a clear route to a senior leadership role Freedom to influence technology choices Exposure to fascinating operational problems across a variety of sectors … following is beneficial: Workflow automation platforms (e.g., Make, n8n, Zapier, Workato) API design, integration, authentication Python, JavaScript or similar scripting languages AI/ML models (LLMs, embeddings, classification, summarisation) Data wrangling and ETL tools Cloud platforms and serverless architectures RPA or orchestration frameworks We need someone who can build ...

both public and private sectors. Our commitment to designing impactful careers and coaching future leaders is evident in our over 10 prestigious awards in Learning & Development and Equality, Diversity & Inclusion. As a Top 20 Employer for Social Mobility and a proud B-Corp certified organisation, we're not just … role You'll become versatile in a wide array of tools across topics covering data focused coding, data visualisation, Cloud Services, Big Data and Machine learning. You will be equipped to work within a variety of roles including but not limited to; Data Engineer, Data Analyst, Data Scientist, Information ...

senior direct reports and developing strong leadership capability Driving engineering delivery, process quality, and technical standards Contributing to architectural decisions across distributed data systems, ML pipelines, and modern web applications Working closely with the C-suite on engineering strategy and org development Embedding AI-driven development workflows (70% of code … build of entirely greenfield products and systems . Key Requirements: Web teams Data engineering teams using distributed technologies (e.g., Spark) Data Science/ML teams Leadership experience over multi-discipline engineering teams Strong soft-skills leadership: coaching, clarity, communication Experience in high-growth, fast-changing environments A passion ...

senior direct reports and developing strong leadership capability Driving engineering delivery, process quality, and technical standards Contributing to architectural decisions across distributed data systems, ML pipelines, and modern web applications Working closely with the C-suite on engineering strategy and org development Embedding AI-driven development workflows (70% of code … build of entirely greenfield products and systems . Key Requirements: Web teams Data engineering teams using distributed technologies (e.g., Spark) Data Science/ML teams Leadership experience over multi-discipline engineering teams Strong soft-skills leadership: coaching, clarity, communication Experience in high-growth, fast-changing environments A passion ...

senior direct reports and developing strong leadership capability Driving engineering delivery, process quality, and technical standards Contributing to architectural decisions across distributed data systems, ML pipelines, and modern web applications Working closely with the C-suite on engineering strategy and org development Embedding AI-driven development workflows (70% of code … build of entirely greenfield products and systems . Key Requirements: Web teams Data engineering teams using distributed technologies (e.g., Spark) Data Science/ML teams Leadership experience over multi-discipline engineering teams Strong soft-skills leadership: coaching, clarity, communication Experience in high-growth, fast-changing environments A passion ...

computer vision, optimising models and video pipelines under performance and latency constraints. Close collaboration with systems engineers. Essential Skills & Experience Strong Python experience for ML and inference workflows Hands-on experience with PyTorch Solid grounding in computer vision fundamentals (object detection, tracking, classification) Experience deploying models into production environments Practical … Edge AI or embedded GPU platforms Real-time or multi-stream video pipelines TensorRT, ONNX, or similar optimisation toolchains Linux-based development environments Containerised ML or inference deployments Experience balancing model accuracy vs. inference speed in constrained environments Profile Sought Engineer who remains hands-on with models and code Comfortable ...

This is a fantastic opportunity to work as an ML Engineer on a remote basis, outside IR35, for a major pharmaceutical company. The key skills required for this ML Engineer position are: Building ML systems Computer Vision Building processing pipelines for image data AWS PyTorch, TensorFlow … have the relevant experience for this long term remote contract ML Engineer role, outside IR35, please do apply. ...

Partner with risk, product, and engineering on decisioning and portfolio performance. Support a senior manager and analysts to deliver high-quality modelling. Collaborate with ML engineering teams without owning ML platform strategy. Your Skills and Experience Strong experience in credit risk and decision science. Hands on building and validating credit ...

Prepare, enrich, and document data for developers and analysts, utilising semantic models and Lakehouses to provide valuable insights. Utilising Automation Technologies: Work with AI, ML, Power Automate, and Power Apps to enable teams to visualize and derive insights using Power BI. Data Transformation and Testing: Develop dataflows, procedures, and notebooks … teamwork. In addition to a competitive daily rate, we offer: Hybrid Working Opportunities: Enjoy a flexible work-life balance. Professional Growth: Opportunities for continuous learning and career development. Collaborative Culture: Work alongside passionate professionals dedicated to making a difference in public services. If you're ready to make ...

with Data Engineering and Infrastructure teams to deploy scalable AI systems. Key Focus Areas Health foundation models (DNA/patient journey modelling) Autonomous Labs – ML, vision, sensors, and robotics to automate lab workflows Applied partnerships in vaccines, clinical modelling, plant phenotyping, and materials research We’re Hiring Applied AI Scientists … with interest in: Computer Vision (3D reconstruction, sensor systems) Protein/DNA modelling LLM engineering with production deployment Candidates should be comfortable building robust ML pipelines and scalable systems , working closely with domain experts, and delivering practical outputs for scientific users. Teams work in cross-functional groups , with core ...

high-level consultancy and firsthand engineering expertise to modernise High-Performance Computing (HPC) environments with a focus on containerisation of HPC and HPC/ML workloads, cluster optimization, and MPI-aware workflows. Responsibilities include assessing the existing HPC infrastructure, advising on best-practice for container strategies, and delivering technical recommendations … Conduct rapid reviews of existing HPC infrastructure, including Beowulf clusters, Slurm job schedulers, workflow execution patterns, and key use cases. Analyze current HPC/ML workloads and identify performance constraints, containerization opportunities, and runtime optimization options. HPC Containerization Strategy Produce a strategy for MPI-optimized container images using tools such ...

high-level consultancy and firsthand engineering expertise to modernise High-Performance Computing (HPC) environments with a focus on containerisation of HPC and HPC/ML workloads, cluster optimization, and MPI-aware workflows. Responsibilities include assessing the existing HPC infrastructure, advising on best-practice for container strategies, and delivering technical recommendations … Conduct rapid reviews of existing HPC infrastructure, including Beowulf clusters, Slurm job schedulers, workflow execution patterns, and key use cases. Analyze current HPC/ML workloads and identify performance constraints, containerization opportunities, and runtime optimization options. HPC Containerization Strategy Produce a strategy for MPI-optimized container images using tools such ...

FPGA Engineer - National Security Business Be part of a growing and highly trusted supplier into the NS domain working to deliver mission critical solutions helping to keep the nation safe, secure and prosperous. Working on ...