Machine Learning Jobs in London

• London
• Hybrid
• Lead
• Permanent

Lead the technical architecture for integrating an autonomous driving AI platform with automotive OEM and Tier 1 vehicle systems, spanning sensors, middleware, ECU constraints, timing, diagnostics and safety. Own interface contracts, requirements processes and architecture decisions across customer programs, and represent the company in partner technical discussions.

CAN · FlexRay · Automotive Ethernet +2

• London
• Senior

Optimise machine learning model performance across training and inference in a tech-centric prop trading fund. Work spans CUDA and GPU-level tuning, low-latency real-time inference, high-throughput research inference, plus storage, networking and host-level systems concerns within a growing ML team.

CUDA · PTX · SASS +7

• 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
• 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
• Lead · manages people

Lead a team of data scientists while remaining hands-on, driving AI, NLP and Generative AI initiatives across a global legal services firm. You will build LLM, semantic search, RAG and deep learning solutions, plus scalable Python pipelines for structured and unstructured legal data, partnering with engineering, legal and business teams.

PyTorch · TensorFlow · SpaCy

• London
• Mid-level
• Permanent

Develops and optimizes LLM/SLM-powered conversational shopping experiences, including agentic architectures, evaluation pipelines, and post-training of small language models. Works with retrieval augmentation, context engineering, and multimodal data at Amazon scale alongside product and engineering teams.

MCP · Alexa