Machine Learning Jobs

• London
• On-site
• Internship

A one-week unpaid work placement at Faculty's London offices for service veterans in their last 12 months of regular service. Participants gain structured exposure to different roles, processes and people across the Defence Business Unit, seeing how a leading AI company applies machine learning to surveillance, reconnaissance, autonomous systems and combat service support.

Metaview

• 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 · 3 days in office
• Lead · manages people

Lead a team of biologists in the Exploratory Sciences group, owning in vitro pharmacology strategy for novel modalities such as TPD, molecular glues and peptides. Design screening cascades and quantitative assays, set ML-ready data standards, and champion LLM agentic workflows while managing CRO and academic studies.

SPR · GCI · nanoDSF +5

• London
• Hybrid · 3 days in office
• Senior

Research Engineers build and optimise state-of-the-art AI models for drug design, working across the full ML lifecycle from experimentation and evaluation to production deployment. The role involves developing robust codebases, data pipelines and training infrastructure, with a focus on architectures such as Transformers, GNNs and diffusion models, in close collaboration with scientists and engineers.

JAX · PyTorch · XLA +6

• London
• Hybrid · 1 day in office
• £325,000 – £485,000 pa
• Lead

Sets technical direction for agent-driven compute cluster lifecycle management, covering provisioning, updates and decommissioning across major clouds and own datacenters. Partners with security, research and cloud providers on secure-by-default, high-bandwidth, fault-tolerant clusters, and mentors engineers while owning multi-quarter strategy.

Kubernetes · Terraform · AWS +7

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

Blends research and engineering to advance reinforcement learning for large language models, building agentic capabilities like computer use and autonomous code generation. Involves architecting distributed RL training infrastructure across GPU clusters, designing novel training environments and evaluations, and profiling and optimizing the stack. Works closely with alignment, red team, and production training groups, with a strong pair-programming culture.

PyTorch · TensorFlow · JAX +3

• London
• Hybrid
• Senior
• Permanent

Lead large-scale data enrichment and curation for the Core Model Safety team, collaborating across pre/mid-training, reward modelling and self-supervised labelling. Build workflows for hard and rare event mining, design out-of-distribution detection for driverless operation, and improve ML operations efficiency across model engineering, infrastructure and compute.

PyTorch · CUDA · VLM +1

• London
• Hybrid
• Senior
• Permanent

Builds and maintains core C++/Python components that interface self-driving models with vehicle and embedded systems, plus infrastructure to run and test autonomy capabilities. Owns reliability and performance of Linux-based systems and specialises in one domain such as localisation/mapping, filtering/diagnostics or control/inference, in a team scaling to 5-6 engineers.

Linux

• London
• Hybrid
• Mid-level · manages people
• Permanent

Lead and scale a team of Applied AI Engineers partnering with high-growth startups to move from experimentation to production on OpenAI's platform. The role blends people leadership, hands-on technical architecture guidance, and cross-functional work with Sales, Product, and Research to build repeatable deployment playbooks and reference architectures.

OpenAI

• London
• Hybrid
• Permanent

Builds and optimizes the compute platform behind frontier AI, spanning bare-metal automation, Kubernetes scheduling, high-performance networking, storage, and fleet health. Engineers move across software, hardware, and networking layers, profiling training workloads and improving NCCL, RDMA, and GPU efficiency. Hiring is general across Compute Infrastructure, with teams matched to candidate strengths.

Kubernetes · NCCL · RDMA +4

• London
• Remote
• Temporary

A four-month, full-time research fellowship focused on empirical AI projects in either ML systems and performance or reinforcement learning. Fellows work with external infrastructure like open-source models and public APIs, receive direct mentorship from Anthropic researchers, and aim to produce a public output such as a paper submission.

Claude

• London
• Hybrid · 1 day in office
• £225,000 – £255,000 pa
• Mid-level

Partner-facing role embedding with nonprofits, research institutes and academic medical centres to apply Claude to clinical development for rare and neglected diseases. You'll design and review trial protocols, build tools for drug repurposing from literature, omics and patient data, and create reusable infrastructure like MCP servers and benchmarks.

Claude · MCP

• London
• Hybrid
• £190,000 – £230,000 pa
• Director · manages people

Lead a team of Technical Deployment Leads embedded with strategic enterprise customers across EMEA, owning engagement portfolio health and delivery quality. Player-coach role: hire and manage TDLs, set delivery strategy, run executive relationships and steering committees, and personally lead the most complex engagements from SOW through production deployment. Requires credibility in architecture discussions and depth in enterprise AI/ML delivery.

Claude

• London
• Hybrid
• Senior
• Permanent

Owns the technical architecture and roadmap for LiDAR and cross-sensor 3D sensing, leading development of target-based and targetless calibration, LiDAR-to-camera alignment, temporal synchronisation and motion compensation. A senior individual-contributor role combining algorithm development, evaluation and production deployment with technical leadership and mentorship across the 3D sensing stack.

GTSAM · Ceres Solver · g2o +1

• London
• Hybrid
• Senior
• Permanent

Lead functional safety activities for an end-to-end autonomous driving system, building Item Definitions, running HARA/FMEA/FTA analyses, and shaping safety concepts and architectures across vehicle platforms and third-party safety-critical systems. Define verification and validation, including vehicle-level testing, and construct structured safety cases with claims, arguments and evidence to support certification.

ISO 26262 · SOTIF