Machine Learning Jobs

• Oxford
• Remote
• £85,000 – £100,000 pa
• Lead

Lead the design and build of scalable data platforms, pipelines and secure data services on AWS, spanning analytics, ML and AI infrastructure. Combines hands-on engineering with technical leadership, setting standards for governance, lineage and observability while shaping data strategy with product, data science and leadership teams.

AWS · S3 · AWS Glue +5

• London
• Hybrid
• £50,000 – £60,000 pa
• Mid-level

Design, build and deploy scalable data pipelines on the Databricks Lakehouse Platform, working across the full engineering lifecycle from requirements gathering to deployment and optimisation. Build data models supporting reporting, analytics, ML and AI use cases, and implement governance and data quality practices within a consulting team delivering enterprise-scale platforms.

Databricks · Delta Lake · Azure +2

• Loughborough
• Hybrid
• Mid-level

Hands-on role in a Group IT Data & AI team, owning use cases end to end from problem definition and feature engineering through model development, deployment and monitoring. Builds BI, advanced analytics, ML and AI solutions in Python, SQL and Spark on cloud platforms, while shaping governance and technical standards.

Python · SQL · Spark

• London
• Hybrid
• Mid-level
• Permanent

Builds full-stack geospatial services in Python and TypeScript, plus PySpark and Databricks pipelines that enrich fleet data with road-network and mapping information at global scale. Owns route-planning applications, map data preparation for training and simulation, and deployment on Azure and Kubernetes end to end.

Databricks · Mapbox · TomTom +10

• London

Customer-facing, billable engineering role embedding with clients to design, build and productionize end-to-end data and AI systems on the Databricks platform. You own architecture and design decisions across data engineering, ML/AI model integration and application development, working alongside project managers, architects and customer teams, with around 20% travel.

Databricks · AWS · Azure +5

• Hatfield
• Hybrid
• Entry level
• Temporary

Two-year rotational graduate scheme with four six-month placements across Ocado's technology division, spanning bot software and hardware, eCommerce, fulfilment control systems, and data science. Graduates work in teams on robotics, ML, and warehouse automation challenges, gaining broad exposure before moving into a long-term role.

• London
• Hybrid
• Senior

Customer-facing role building and productionizing data and AI solutions on the Databricks platform, owning architecture and design decisions for end-to-end systems spanning data engineering, ML/AI and application development. Embeds with client teams from technical ICs to executives, delivering production-grade systems, reference architectures and reusable accelerators, with around 20% travel to customer sites.

Databricks · AWS · Azure +7

• London
• Hybrid
• Mid-level
• Permanent

Builds client-facing data visualisation products with data scientists, engineers and designers, using React, TypeScript, ES6 JavaScript, HTML and CSS3, plus d3 for visualisation. Owns frontend standards, reusable component libraries and deployment infrastructure, and mentors other engineers within a national security and AI safety business unit.

React · D3 · AWS +3

• London
• Hybrid
• Senior
• Permanent

Set the technical direction for a petabyte-scale object storage platform underpinning autonomous driving AI, leading a multi-quarter programme from architecture through adoption. Build production services and controllers in Python or Go with Kubernetes and Terraform, optimising read performance, caching and cost while partnering with ML, data, security and privacy teams.

Kubernetes · Terraform · Azure Blob +3

• United Kingdom
• Remote
• Senior
• Permanent

Own the transformation layer between raw data and business decisions, modelling data in dbt and defining the certified KPI layer for product, finance and company-wide metrics. Partner with Data Engineering on warehouse architecture and turn ambiguous stakeholder questions into trusted, reusable data products, including data served through AI agents.

dbt · BigQuery · Python +4

• San Francisco, United States
• Hybrid
• US$150,000 – US$190,000 pa

Delivery-focused role embedding physics-aware AI models into customer tools, building reliable ML data pipelines and working with 3D point-cloud and mesh data. Spans data science and software engineering, translating R&D into reusable libraries and products, with regular on-site customer travel.

TensorFlow · MLflow · Spark +6

• New York, United States
• Hybrid
• US$150,000 – US$190,000 pa
• Mid-level

Builds and deploys machine learning systems for industrial physics challenges, designing reliable data pipelines and working with 3D point-cloud and mesh data. Partners directly with customers on-site to embed AI models into practical tools, translating R&D outputs into reusable libraries and products. Requires Python, cloud, and MLOps experience with frequent travel.

TensorFlow · MLflow · Spark +6

• London
• Mid-level

Hands-on role building the systems around machine learning: repeatable training and deployment workflows, CI/CD pipelines, model registries and versioning, plus batch and online inference services in containerised cloud environments. You'll monitor service health, data quality, drift and model performance, and investigate production issues across models, infrastructure and data dependencies, working with research, platform, security and product teams.

PyTorch · Model Registry · Feature Store +5

• London
• Mid-level

Day-to-day responsibility for requesting data, monitoring and enhancing Key Risk Indicators and Management Information (MI) for first-line financial crime risk. Builds and maintains MI dashboards, automated data pipelines and analytical tooling using Python, SQL, Power BI or Tableau, and partners with 2LOD and Data Engineering to improve data quality and governance. Distinct for its strategic ownership of the financial crime data and analytics roadmap within an asset management and insurance group.

Power BI · Tableau · AWS +2

• London
• On-site
• Mid-level
• Permanent

This role involves developing and maintaining data engineering and prediction tools for systematic equities trading. You will work closely with the Senior Portfolio Manager and quantitative research team to build robust data pipelines, validate data integrity, and implement large-scale computational systems.