247 jobs for “ML Architect”
Isomorphic Labs London
Lead computational chemistry strategy across drug discovery programs, applying AI-first approaches to hit finding, molecular design and lead optimisation. Work with ML scientists to embed generative models into cheminformatics workflows, with some roles managing 2-3 computational chemists.
Isomorphic Labs London
Owns the safety assessment strategy for drug discovery projects from inception to regulatory submission, designing screening cascades and mechanistic experiments for small molecules and biologics. Guides development of an AI predictive toxicology platform with ML researchers and manages CRO relationships, as all wet-lab work is outsourced.
Wayve London
Lead large-scale data enrichment and curation for the Core Model Safety team, mining hard and rare events and building workflows across pre/mid-training, reward modelling and self-supervised labelling. Design and train out-of-distribution detection mechanisms for robust driverless operation, working at the intersection of model engineering, infrastructure, compute and data.
Wayve London
Builds reusable Python libraries and platform tooling for multimodal data loading, distributed training, inference, checkpointing and observability, supporting ML teams running models across thousands of GPUs. Partners closely with researchers to turn complex workflows into stable, scalable software, leading projects from discovery to delivery. A software and platform engineering role rather than ML modelling.
Faculty London
Builds and deploys production-grade ML software, tools and infrastructure, creating reusable solutions that accelerate ML delivery and capability testing of frontier AI models. Leads technical scoping and architectural decisions, advises clients and partners, and works with frontier labs on AI safety red teaming and evaluation.
Faculty London
Lead the design, build and deployment of production-grade ML and LLM systems for national security and AI safety clients, including capability testing of frontier models. Act as a trusted technical advisor, define engineering standards for ML at scale, and mentor junior engineers while working with frontier labs on red teaming and evaluation.
Relation Therapeutics London
Process and QC paired single-cell RNA-seq and scATAC-seq at scale, building Nextflow pipelines for custom combinatorial indexing chemistries and integrating multimodal datasets for GPU-accelerated model training. Partner with wet lab scientists and ML modellers to design evaluation frameworks that test whether models capture meaningful biology.
Department for Transport Birmingham £59,816 – £84,911 pa
Lead the technical delivery of AI solutions across the full product lifecycle, from design and deployment to monitoring and assurance, including classical ML and agentic/LLM-based systems. Work in a government AI and data science team, writing production Python code, running CI/CD pipelines with Terraform on GCP, and building evaluation frameworks to measure model performance.
Anthropic London £190,000 – £230,000 pa
Lead a team of Technical Deployment Leads embedded with strategic EMEA customers, owning engagement portfolio health and delivery quality. Act as a player-coach, taking the TDL seat on the most complex engagements from SOW through production deployment, and codifying reusable solution patterns and playbooks.
Maxwell Bond London £150,000 – £175,000 pa
Hands-on role building LLM agent and retrieval systems on a small UK core team, reporting to the Head of Engineering. Work spans LangGraph/LangChain workflows, RAG pipelines with Qdrant and GraphRAG on Neo4j, model integration across Anthropic, OpenAI and Bedrock, plus evaluation harnesses and observability. Token cost, latency and auditability are treated as engineering constraints throughout.
AECOM London
Security lead for an AI engineering team's products and platform, owning design reviews, threat modelling, and sign-off authority for new features. Secures LLM-powered capabilities against prompt injection and data leakage, drives CVE remediation, maintains SAST/SCA/IaC scanning in CI/CD, runs pen testing, and leads incident response across Azure and GCP.
ElevenLabs United Kingdom
Owns the path from research checkpoint to production serving infrastructure, optimising inference latency, throughput and cost using quantization, distillation, KV-cache optimisation, batching and custom kernels. Builds high-performance serving systems for real-time streaming workloads and tooling that lets researchers ship models quickly and safely.
eFinancialCareers London
Research and develop machine learning-driven alpha signals and systematic trading strategies within a systematic hedge fund. Apply deep learning, probabilistic and time-series modelling to large, noisy financial datasets, running rigorous backtesting and out-of-sample validation. Work with quantitative researchers, portfolio managers and engineers to turn research into production-ready strategies, with substantial research ownership.
The Francis Crick Institute London £47,500 pa
Lead a computational project modelling how driver mutation clones interact with their microenvironment in chronic liver disease and liver cancer. Develop graph neural networks, transformers and generative AI on large-scale spatial transcriptomics, single-cell and imaging data, in a cross-institutional collaboration with the Wellcome Sanger Institute's Lotfollahi Lab.
Copello Bristol £54,000 – £58,000 pa
Develops and evaluates image processing, computer vision and deep learning algorithms for imaging sensor systems, covering segmentation, noise removal, tracking, pose estimation and classification. Works with cross-functional teams to turn complex requirements into operational software, supporting research into emerging AI/ML techniques and algorithm testing and integration.
