Machine Learning Jobs

• Norwich
• £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, with Microsoft AI-900 certification and two tutor-assigned industry projects. On completion, candidates are placed into a Junior AI Engineer role with a partner employer within 20 miles of their location.

Azure · Microsoft AI-900 · Git +1

• Leeds
• £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, with Microsoft AI-900 certification and two tutor-assigned industry projects. On completion, candidates are placed into a Junior AI Engineer role with a partner employer within 20 miles of their location.

Microsoft Azure · Git · GitHub +1

• London
• Hybrid
• Mid-level
• Permanent

Builds and maintains the internal delivery platform that supports over 100 data scientists and ML engineers, owning cloud infrastructure, MLOps and deployment tooling. Work spans infrastructure-as-code, DevSecOps, containerised microservices and multi-cloud integration across AWS, Azure and GCP, with a focus on removing technical friction for delivery teams.

AWS · Azure · GCP +5

• London
• Remote
• £432 – £484 pd
• Senior
• Contract

Design and deploy production-grade Generative AI workflows and backend security guardrails for a global financial institution's AI Centre of Excellence. The role spans PII/MNPI sanitisation, prompt-injection defence, Python or Java GenAI and ML solutions, AWS/Azure data pipelines with Airflow, plus roughly 20-25% frontend and UI work for guardrail tooling, alongside production support and evaluation metrics.

AWS · Azure · Apache Airflow

• London
• Hybrid
• Senior
• Permanent

Set the technical strategy and roadmap for fault detection and fallback systems in an autonomous driving stack, designing and training detection mechanisms that enable safe driverless operation. Lead integration into the shared driving stack, working closely with machine learning, inference optimisation and software engineering partners, and mentor across teams. The role sits in a small, high-impact Core Model Safety team with access to large-scale training and fleet data.

• London
• Remote
• Mid-level
• Permanent

Owns the integration pipeline for an enterprise AI workspace platform, building and maintaining tools that connect external APIs and data sources to agentic systems. Writes evals and tests to catch regressions, tunes tool descriptions, and helps other engineers add integrations while raising team standards.

North

• United Kingdom
• Hybrid · 1 day in office
• £90,000 – £100,000 pa
• Lead
• Permanent

Hands-on technical lead for a large-scale AI programme, turning architectural direction into production-grade systems across complex legacy and multi-cloud environments. Builds RAG pipelines, semantic search, embedding infrastructure and orchestration layers, sets coding standards, mentors engineers and embeds Responsible AI guardrails, security and observability.

LangChain · LlamaIndex · AWS +3

• Monroe, Ohio, United States
• On-site
• Mid-level
• Shift work

Provide first response to engineering fault conditions and carry out electrical and mechanical planned and reactive maintenance across a highly automated customer fulfilment centre. Diagnose breakdowns, perform assembly and sub-assembly repairs from blueprints and schematics, analyse MHE performance data and complete quality inspections. Initial 6-9 months involve training and travel to another North American site, with shift work covering days and weekends.

Computerized Maintenance Management Systems · G-Suite · MS Office

• United Kingdom
• Remote
• Mid-level
• Permanent

Join the research team at an AI audio company, training state-of-the-art models across modalities and improving them through post-training, data curation and architectural changes. You'll design rigorous benchmarks and evaluations to judge whether new model iterations are genuinely better, working autonomously in lean, high-velocity teams.

GitHub

• London
• Mid-level
• Permanent

Backend engineering role focused on the systems that keep ChatGPT reliable at scale, spanning shared services, APIs, asynchronous processing and infrastructure migrations. Engineers write production code, own rollout and rollback, and improve monitoring and diagnostics, with on-call and incident response duties. Distinct for its close coupling of infrastructure work to a high-traffic consumer product.

ChatGPT · APIs · Cloud Infrastructure +2

• London
• Hybrid
• £115,000 pa
• Lead

Hands-on role designing, developing and deploying production-grade Generative AI and Agentic AI solutions within a global technology consultancy's Data & AI practice. Combines Data Science and Machine Learning foundations with modern software engineering, including Python APIs, microservices, RAG architectures, vector databases and MLOps, while influencing solution architecture and working directly with clients on AI transformation projects.

LangGraph · CrewAI · AutoGen +7

• United Kingdom
• Remote
• Mid-level
• Permanent

Owns large-scale distributed web crawling systems that discover, fetch and extract data from billions of pages to feed frontier AI models. Work spans content extraction from messy HTML, deduplication at web scale, recrawl and freshness strategies, politeness and rate limiting, plus tooling for researchers to request and explore crawled data.

Kubernetes

• London
• Hybrid · 2 days in office
• £62,000 – £75,000 pa

Design, develop and deploy production-scale GenAI and AI/ML solutions within a 20-person AI team at a financial-sector client. Work spans LLM APIs, chatbots/agents, vector databases and frameworks like LangChain and Microsoft Agent Framework, using C# or Python on Azure services such as Fabric, Data Factory, ML Studio and Synapse. The role involves stakeholder collaboration, analysing large datasets and monitoring model performance.

Azure · Azure Fabric · Azure Data Factory +7

• London
• Hybrid
• Mid-level
• Permanent

Join the Platform Team to design and scale a hybrid compute cluster spanning private and multiple public clouds. You will manage Kubernetes-based infrastructure, build core platform services and APIs, improve CI/CD pipelines, and set up monitoring, backup and security practices while supporting Machine Learning and Data Science teams.

Kubernetes · GitHub Actions · ArgoCD +3

• United Kingdom
• Hybrid
• Senior

Designs, builds and tests intelligent systems for defence and security clients, covering signal processing, radar, computer vision, transformers and edge AI. Takes technical ownership of significant project parts, mentors junior engineers, and works directly with clients on proposals and new work. Requires SC clearance and substantial time on-site.

Transformers · Edge AI