Machine Learning Jobs in London

• London

Embedded within an investment team, you will partner with portfolio managers and analysts to understand their research workflows and build AI-powered tools that support company analysis, screening and portfolio monitoring. The role spans LLM and agentic applications, Python engineering and data pipelines, taking projects from prototype through to production and driving adoption among investment professionals.

Python · SQL

• London
• Hybrid
• Lead
• Permanent

Lead the technical strategy, architecture and deployment of secure AI systems across high-stakes domains, bridging research and production. You'll set engineering standards for safe ML deployment, build scalable cloud infrastructure and multi-agent tooling, and partner with Frontier Labs on safety evaluations. The role also involves advising senior client stakeholders and mentoring engineering talent.

AWS · Azure · GCP +4

• London
• Hybrid
• Lead
• Permanent

Lead technical strategy, architecture and deployment of secure AI systems across high-stakes domains, bridging AI research and production. You'll build scalable ML infrastructure, champion safety-first frameworks and capability evaluations, advise senior client leadership, and mentor engineering talent while partnering with Frontier Labs on multi-agent tooling and AI governance.

AWS · Azure · GCP +4

• London
• Hybrid
• Lead · manages people
• Permanent

Lead a small team iterating on Wayve's end-to-end L2 driving model, balancing hands-on Python coding and experiments with directing priorities. Diagnose on-road issues, root-cause them, and drive fixes through data recipes, model architecture, evaluation and release readiness, working across teams on model and vehicle interface problems.

Nissan · Mercedes

• London
• Hybrid
• Senior
• Permanent

Hands-on optimisation of large transformer model inference for edge accelerators and GPUs, profiling model graphs, compiler/runtime behaviour, kernel execution and memory movement. You'll implement fusions, scheduling, quantisation-aware performance and custom kernels, and build benchmarking and regression tests for targets like NVIDIA Orin/Thor and Qualcomm platforms, working closely with model, platform and deployment teams.

TensorRT · CUDA · Qualcomm QNN +6

• London
• On-site
• Mid-level · manages people
• Permanent

Join the Preparedness team to anticipate and mitigate loss-of-control risks from increasingly capable AI systems, potentially culminating in recursive self-improvement. The role spans scalable oversight, automated auditing, monitorability testing, model behaviour science, and coordination/verification mechanisms, alternating between rigorous hypothesis-driven research and building interventions that impact production models.

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

Researcher role focused on derisking frontier AI models by developing novel safety mitigations, drawing on interpretability, control, and alignment techniques. You will build and refine evaluations of emerging risks, design red-teaming pipelines, and set research directions, collaborating closely with experts in misalignment, cybersecurity, and biology.

• London
• On-site
• £90,000 – £120,000 pa
• Senior
• Permanent

Embedded in portfolio companies to deliver data science and machine learning initiatives, partnering with C-suite stakeholders to define problems with measurable commercial value. You own projects end to end, from discovery and modelling through deployment and scaling, across use cases like pricing, sales optimisation and fraud reduction. The role sits in a deployment team within an investment and private equity ecosystem, balancing technical rigour with pragmatic delivery.

AWS · GCP · Azure +1

• London
• Hybrid
• £50,000 – £65,000 pa
• Mid-level
• Permanent

Join a growing data and analytics team where your work directly influences commercial decisions and customer engagement. You will build predictive models and machine learning techniques, prepare and cleanse data from multiple sources, and translate analytical findings into clear stories for technical and non-technical audiences.

SQL

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

Own the technical side of an in-house AI server for a boutique tax chambers, from configuring GPU hardware and serving LLMs to building RAG pipelines and MCP connectors that link models to solicitors' tools. The role also covers security, monitoring and backups, plus training colleagues and tracking new model releases.

MCP · Docker · Git +2

• London
• Hybrid
• Lead

Lead the applied AI transformation across a legal services group, identifying high-value opportunities and building LLM-powered solutions that reach production. Work with engineers, architects and senior stakeholders to deploy RAG and prompt-engineering solutions, define success metrics and monitor performance. Hybrid role with UK travel.

Azure · Databricks · Snowflake

• 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

• Brentford
• Hybrid
• £75,000 – £100,000 pa
• Mid-level
• Permanent

Develops an engineering-grade Spiking Neural Network engine for machine vision, turning research outputs into production C++ software. Works alongside researchers, data scientists and engineers on SNNs, CNNs, Transformers, synthetic training imagery and ISR data, with system design, testing and CI/CD responsibilities.

PyTorch · CUDA · CNNs +2

• Brentford
• Hybrid
• £70,000 – £95,000 pa
• Senior
• Permanent

Hands-on role designing and deploying production computer vision systems using CNNs and Vision Transformers, from model architecture and training pipelines to optimisation for cloud and edge. Works alongside software engineers, researchers and customers, translating recent AI research into reliable products for defence and security environments.

PyTorch · TensorFlow · Git +6

• London
• Hybrid · 3 days in office
• Senior
• Permanent

Senior technical owner for a portfolio of education customers, acting as the "CTO of your book of business" from pre-sales discovery through deployment and adoption. Owns technical account plans across ChatGPT Edu, the OpenAI API and Codex, translating institutional priorities into architectures, adoption roadmaps and use-case portfolios.

ChatGPT Edu · OpenAI API · Codex