Machine Learning Jobs

• 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

Builds and owns the LLM access layer for agents on the PhysicsX platform, serving self-hosted open models and routing each task to the best-fitting model or combination. Sets technical direction for inference engines like vLLM and SGLang and serving platforms such as KServe, including air-gapped deployments, GPU autoscaling, batching, caching and quantisation. Works with Research and Post-Training specialists to move tuned models into production routes.

vLLM · SGLang · KServe +6

• London
• Hybrid
• Mid-level
• Permanent

Builds and operates cloud infrastructure, automation and deployment systems, primarily on Azure, using Terraform and Ansible for infrastructure as code. Supports CI/CD pipelines, containerised workloads, monitoring, observability and cost optimisation, and handles incident response and root-cause analysis. Works closely with engineering teams to improve the developer experience.

Azure · AWS · GCP +4

• London
• Hybrid
• Senior
• Permanent

Builds modular Python libraries for multimodal data loading, distributed training and inference, checkpointing and observability, supporting thousands of GPUs. Partners with ML teams to turn complex requirements into stable, reusable APIs, leading projects from discovery to adoption while raising engineering standards.

PyTorch · TensorFlow · Azure +1

• London
• Hybrid
• Lead · manages people
• Permanent

Leads a small, high-agency research team setting the scientific agenda for AI safety, with a focus on large language models and safety-critical systems. Involves conducting and overseeing red-teaming and evaluations in high-risk domains such as CBRN and cybersecurity, publishing at top conferences, and mentoring researchers while aligning work with commercial goals.

Python · OpenAI o1 · Metaview

• London
• Hybrid
• Mid-level
• Permanent

Builds and scales AI-powered systems for public sector clients, owning the full stack from Python/FastAPI backends to TypeScript and React or Vue frontends. Works in cross-functional teams with data scientists and product managers, deploying to AWS, Azure or GCP with Docker and building data pipelines and cloud infrastructure. May require UK Security Clearance and occasional on-site work with government clients.

Python · FastAPI · TypeScript +6

• Sheffield
• Hybrid
• £39,560 – £43,099 pa
• Entry level
• Contract

Postdoctoral role applying explainable NLP and machine learning to analyse online disinformation narratives, integrate findings into a user-facing verification toolkit, and evaluate commercial chatbots and AI-generated search overviews. Works within the EU-funded ANTIGONE project alongside European partners, with responsibility for leading publications, white papers and stakeholder engagement.

Chatbots

• London
• Hybrid · 3 days in office
• Permanent

Partner directly with engineering organizations to design, build, and deploy AI-powered software development workflows using Codex, working hands-on in Python to create prototypes, evaluation harnesses, integrations, and production accelerators. The role combines deep technical engineering with customer leadership, guiding teams from use-case selection through production rollout and scaled adoption while feeding deployment insights back to Product and Research.

Codex · OpenAI

• London
• Remote
• Senior
• Permanent

Owns key components of a large-scale web data pipeline for pre-training language models, covering extraction, parsing, deduplication and filtering of noisy internet corpora. Analyses data composition and quality across domains, languages and time periods, and studies its impact on downstream model performance alongside research and evaluation teams.

Apache Spark · Apache Beam · Pandas

• London
• Mid-level
• Permanent

Develops and maintains LLM instruction iterations and evaluation frameworks, including automated eval pipelines, LLM-as-a-judge methodologies, rubric design and dataset curation. Partners with applied scientists and engineers on retrieval augmentation, context enrichment and fine-tuning, analysing large-scale multimodal interaction data and running A/B tests to improve conversational shopping quality.

MCP · ETL

• London
• On-site
• Senior
• Permanent

Builds and scales generative and predictive models of cellular behaviour, acting as the bridge between ML theory and implementation. Day to day involves optimising large neural networks, distributed multi-GPU/multi-node training, profiling GPU workloads, and productionising research code for multi-modal biological data.

PyTorch · CUDA · Triton +1

• Cambridge
• On-site
• Permanent

Consultants design and deploy machine learning systems for diverse defence and security projects, from proofs-of-concept to working prototypes. The role spans literature analysis, model training, rapid prototyping and experiment design, often combining science, engineering and ML in novel settings. Work is on-site in Cambridge within a flat, collaborative team of around 40 specialists.

PyTorch · TensorFlow · Keras +3

• London
• On-site
• £85,000 pa
• Mid-level

Own product analytics for a suite of AI products, measuring retrieval quality, output correctness and user engagement, and building the dashboards the team works from. Also run the evaluation programme, curating golden datasets and analysing regressions with engineers. Based full-time in the London office alongside a technical engineering team.

RAG

• London
• Senior
• Permanent

Design and implement generative models that learn intervention effects from single-cell perturbation and multiomic data, focusing on counterfactual prediction and experimental design. Work in interdisciplinary teams with experimental biologists to validate computational hypotheses and guide the highest-signal next experiments, using modern ML tooling and scalable infrastructure.

• Bradford
• £30,000 – £50,000 pa
• Entry level

A training and placement programme for entry-level candidates with little or no data experience, combining self-paced online courses in Excel, SQL, Python and Tableau with CompTIA Data+ and BCS Business Analysis Foundation qualifications. After qualifying, a recruitment support team assists with CV review, applications, mock interviews and securing a first data analyst role, with an optional advanced CompTIA Data X stage.

Microsoft Excel · SQL · Python +4