Machine Learning Jobs

• London
• Hybrid
• Lead
• Permanent

Own end-to-end system architecture for the Wayve AI Driver across L0–L4, defining interface contracts, ECU and sensor requirements, and safety mechanisms. Lead technical alignment with OEMs, Tier 1s and partners, and support integration, bring-up and system-level debugging on vehicles and HiL/ViL benches.

Linux · RTOS · ECU +3

• London
• Hybrid
• Mid-level
• Permanent

Builds full-stack geospatial services in Python and TypeScript, plus PySpark and Databricks pipelines that enrich fleet data with road-network and mapping information at global scale. Owns route-planning applications, map data preparation for training and simulation, and deployment on Azure and Kubernetes end to end.

Databricks · Mapbox · TomTom +10

• London
• Hybrid · 3 days in office
• Mid-level

Join the model performance and scaling team to implement and optimize LLM post-training methods on frontier models, working with research teams to turn new methods into production systems. The role focuses on distributed training and inference performance, low-precision methods, and frameworks like JAX or PyTorch, in a hybrid London setting.

JAX · PyTorch · NCCL +5

• London
• Hybrid · 3 days in office
• Mid-level

Own, secure and scale a suite of self-hosted, multi-user vendor applications across cloud environments. Day to day you build Kubernetes deployment pipelines, maintain Terraform IaC, run container and dependency security scanning, remediate CVEs, and configure SSO/RBAC via SAML 2.0 and OIDC, bridging integration, operations and security.

Kubernetes · GitHub Actions · GitLab CI +7

• Derby
• Hybrid · 3 days in office
• Lead
• Permanent

Leads the development of proprietary deep learning models to enhance underwriting capabilities, building neural networks such as LSTMs, RNNs and Transformers on structured and unstructured data. Sets technical direction, manages projects, communicates with stakeholders and mentors junior team members, working hybrid from the Nottingham office three days a week.

PyTorch · TensorFlow · Hugging Face Transformers +2

• Lincoln
• Hybrid · 3 days in office
• Lead
• Permanent

Lead the development of proprietary deep learning models to enhance underwriting capabilities, building neural networks such as LSTMs, RNNs and Transformers on structured and unstructured data. The role combines technical direction-setting, stakeholder collaboration and mentoring junior team members, taking ideas from prototype through to production.

PyTorch · TensorFlow · Hugging Face Transformers +1

• London
• Hybrid · 1 day in office
• £260,000 – £630,000 pa
• Mid-level

Join the Pretraining team to develop next-generation large language models, working across model architecture, algorithms, data processing and optimizer development. You'll lead small research projects, design and analyse experiments, and scale distributed training infrastructure to thousands of GPUs, blending research and engineering in a highly collaborative environment.

PyTorch · Kubernetes · GPUs +1

• London
• Hybrid
• £375,000 – £640,000 pa

Designs and runs large-scale reinforcement learning experiments to understand how RL behaves as model size, compute and task horizon grow, and builds benchmarks that make long-horizon progress measurable. Sits at the boundary between research and engineering, debugging failures that only appear at frontier scale and shipping validated findings into production training recipes alongside adjacent RL teams.

• London
• On-site
• Entry level
• Permanent

Contributes to the design and execution of cellular and biochemical assays, including arrayed CRISPR perturbation screens, cell culture of primary and immortalised lines, and phenotypic readouts such as flow cytometry, RT-qPCR and ELISA. Also handles data analysis, sample tracking, QC, reagent stocks and lab upkeep, working closely with Discovery and computational colleagues in a matrixed TechBio setting.

CRISPR · Flow Cytometry · RT-qPCR +3

• London
• Hybrid
• Senior
• Permanent

Lead original technical research in AI safety, steering projects from initial question to high-impact publication. Work spans interpretability, steering vectors, goal drift, machine unlearning and uncertainty calibration for transformer LLMs and agentic systems, with outputs informing frontier labs and government institutes. Involves building reproducible research code and collaborating with red-teaming and evaluation teams.

PyTorch · Transformer · Metaview

• London
• Hybrid
• Senior
• Permanent

Lead the development of novel safety evaluations quantifying AI risks in high-impact domains such as CBRN and Cyber, executing original technical research from concept to publication. Shape the R&D agenda, contribute to client delivery and red-teaming for frontier labs, and engage externally with the global research community and government stakeholders.

Anthropic · GDM · Meta +2

• London
• Hybrid · 3 days in office
• Senior

Lead the hardening and scaling of an inference platform serving fleets of cutting-edge ML models for scientific applications. Set strategy and roadmaps, architect next-generation services, and solve core scaling limits for high-throughput performance, partnering with research, product and operations teams.

Kubernetes · Google Cloud Platform · NVIDIA GPU +1

• London
• Hybrid · 3 days in office

A general expression-of-interest pipeline for experienced software engineers, ML researchers and engineers, computational chemists and technical program managers. The interdisciplinary team builds predictive and generative AI models for drug design, working across therapeutic areas and modalities. Hybrid working requires three days a week in the London office.

AlphaFold