Machine Learning Jobs

• York
• £25,000 – £45,000 pa
• Entry level

A self-paced traineeship taking complete beginners through AI fundamentals, Python, data handling, machine learning and Git/GitHub, plus Microsoft AI-900 certification and two tutor-assigned industry projects. On completion, candidates are placed into a Junior AI Engineer role within 20 miles of their location, with training designed to fit around existing work or unemployment.

Azure · Microsoft AI-900 · Git +1

• Worcester
• £25,000 – £45,000 pa
• Entry level

A self-paced traineeship taking complete beginners through AI fundamentals, Python, data handling, machine learning and Git/GitHub, plus Microsoft AI-900 certification and two tutor-assigned industry projects. On completion, candidates are placed into a Junior AI Engineer role within 20 miles of their location, with training designed to be completed in 6-12 months around existing work or study.

Microsoft AI-900 · Azure AI Fundamentals · Git +1

• Singapore
• Lead

Lead the deployment of ML models and engineering surrogates (deep learning on CAE/CFD/FEA data, time-series forecasting, anomaly detection, optimisation) into customer production environments. Own scoping, architecture and success metrics for data/ML systems, mentor engineers, and work on-site with customers across North America, Europe, Asia and Oceania for 3-4 weeks per quarter.

Python · PyTorch · Pandas +3

• Singapore
• Senior

Build and deploy customer-facing applications that put physics AI models into production, working directly with customers, data scientists and ML engineers. The role spans rapid prototyping, backend development of Python/FastAPI REST APIs and microservices, and cloud deployment using Kubernetes, Helm, Terraform and AWS/Azure. It suits someone who can grasp complex engineering problems across industries and own solutions end-to-end.

FastAPI · Helm · Kubernetes +3

• London
• Hybrid
• Senior
• Permanent

Lead functional safety activities for an end-to-end autonomous driving system, building Item Definitions, running HARA/FMEA/FTA analyses, and shaping safety concepts and architectures across vehicle platforms and third-party safety-critical systems. Define verification and validation, including vehicle-level testing, and construct structured safety cases with claims, arguments and evidence to support certification.

ISO 26262 · SOTIF

• London
• Hybrid
• Senior
• Permanent

Lead the design, build and deployment of production-grade ML systems for national security and AI safety clients, including capability testing of frontier models. Act as a technical advisor to customers, define deployment standards, and mentor junior engineers while working with frameworks like TensorFlow or PyTorch on cloud and Kubernetes infrastructure.

TensorFlow · PyTorch · AWS +5

• London
• Hybrid
• Senior · manages people
• Permanent

Own the technical vision and architecture for a petabyte-scale data enrichment platform that lets model engineers deploy, evaluate and improve ML models across large GPU fleets. Combine hands-on Python backend engineering with cross-team technical leadership, mentoring senior engineers and leading a small team of 2-3.

Flyte · Airflow · Dagster +6

• London
• Hybrid
• Lead · manages people
• Permanent

Sets technical direction for complex AI/ML projects, designing scalable production systems and shared deployment infrastructure with CI/CD pipelines. Leads multiple workstreams in high-risk national security contexts, defining testing and model versioning standards while coaching engineers and defending architectural decisions to senior stakeholders.

Kubernetes · TensorFlow · PyTorch +1

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

Own the design and build of scalable data platforms, pipelines and secure data services on AWS, spanning S3, Glue, Redshift, Athena, Lambda and Step Functions. Combines hands-on engineering with technical leadership, setting standards for data quality, governance and observability while enabling ML, AI and business intelligence across a venture-backed AI company.

AWS · S3 · AWS Glue +5

• 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

• Abingdon
• Hybrid · 4 days in office
• US$200,000 – US$225,000 pa
• Mid-level

Build scalable data platforms, pipelines and ML infrastructure, and deploy production AI solutions including LLMs, RAG systems and AI agents. Work in a small, highly visible team partnering with investment and operational stakeholders, owning projects end-to-end from design through production and driving architecture decisions.

Databricks · Spark · Kafka +2

• London
• Remote
• Senior
• Permanent

Build and ship features for North, Cohere's secure AI workspace platform, developing autonomous agents that interact with sensitive enterprise data. Work spans Python and React full-stack code, with stringent deployment constraints that often require reinventing tooling rather than using popular libraries, plus collaboration with researchers to productionize frontier models.

Python · React

• Sofia, Bulgaria
• Hybrid
• Senior

Maintains and improves a live customer-facing slot-availability application while writing Terraform/OpenTofu infrastructure as code for cloud environments. Extends backend services, APIs and data pipelines, and modernises the platform by tuning Airflow/Composer and reducing technical debt. Works in a small distributed team with monitoring, alerting and incident response duties.

Python · TypeScript · Terraform +7

• London
• Mid-level · manages people

Owns the roadmap and delivery of AI products for transportation, working at the intersection of transport engineering, ML/RL, optimisation and software engineering. Leads a small technical team from problem definition to deployed product, translating domain knowledge into requirements and testing capabilities on live infrastructure projects.

LLM · GIS · BIM

• London
• Hybrid
• £255,000 – £325,000 pa
• Lead · manages people

Lead a London-based team building connectivity infrastructure for Claude, including the MCP proxy, OAuth and token management, and admin controls. The role spans both San Francisco and London sites, requiring cross-timezone alignment with product, security, and platform partners, plus operational rigor for production distributed systems.

MCP · Python · TypeScript +3