Machine Learning Jobs

• London
• On-site
• Entry level
• Permanent

Interns own the full lifecycle of their code, from design through deployment and operations, building scalable services on cross-disciplinary teams. They use GenAI and AI tools to boost productivity, participate in code reviews, and take on operational duties including on-call, with mentorship from a dedicated manager and mentor.

AWS

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

Builds internal tools and data pipelines for lawful data access request workflows and Legal Operations, covering intake, scoping, authorized retrieval, review and audit. Involves backend services, least-privilege access, approval gates, provenance and audit trails, working closely with Legal, Privacy and Security stakeholders.

• Oxford
• Hybrid
• Permanent

Hands-on field robotics role in the Launchpad team, operating, testing and debugging autonomous vehicle systems on real industrial sites. You build your own tooling (Python/Bash, C++, ROS, Linux) and trace faults across the hardware-software boundary, with extensive travel and secondments to the UAE.

ROS · Linux · Git +4

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

Join OpenAI's Training team in London to push the frontier of LLM development for flagship models, enhancing intelligence, efficiency, and adding new capabilities. The role involves designing and scaling new architectures, running experiments, debugging regressions, and optimizing model and computational performance, with a hybrid schedule of three days in the office per week.

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

Lead end-to-end deployments of frontier models for strategic customers, owning discovery, scoping, system design, build and production rollout. Build full-stack systems in Python or JavaScript, embed with customer teams and feed field insights back into product and research roadmaps. Hybrid London role with up to 50% travel and Spanish-speaking customers.

OpenAI

• London
• Hybrid
• Mid-level
• Permanent

Builds and operates the platform that deploys, configures and manages models across ChatGPT, spanning deployment orchestration, rollouts, capacity planning and operational automation. The role focuses on turning complex operational processes into reusable, scalable platform capabilities, working closely with research, infrastructure and product teams.

GPU · ChatGPT

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

Lead complex end-to-end deployments of frontier models for strategic customers, owning discovery, scoping, system design, build and production rollout. Build full-stack systems in Python or JavaScript, embed with customer teams, and feed field learnings back into product and model roadmaps. Hybrid London role with up to 50% travel.

LLMs · Generative Models

• Norwich
• £20,409 pa
• Entry level
• Contract

Develops and evaluates methods for reliable, localised and generalisable knowledge updating in large language models, adapting techniques such as ROME and MEMIT and comparing them with RAG, external memory and fine-tuning. Experiments use open-weight models on RTX 6000 Ada GPUs and UEA HPC, assessed on benchmarks like CounterFact and zsRE for efficacy, generalisation, locality and retention, with optional deployment in social robots such as Furhat.

ROME · MEMIT · RAG +5

• Exeter
• £21,805 pa
• Entry level
• Contract

An interdisciplinary PhD developing miniaturised, low-power sensing hardware co-designed with AI for monitoring wild animal behaviour, including individual recognition and automated quantification of responses. Systems are benchmarked in controlled conditions then validated on wild jackdaws and field sites in West Africa, spanning ecology, electronic engineering and data science.

Thermal Imaging · AI · Machine Learning

• Cambridge
• Hybrid
• Senior

Develops algorithms and optimizations for NVIDIA's LPX inference and compiler stack, building high-performance runtime and compiler components and mapping large-scale neural network workloads onto future hardware. Involves LLVM/MLIR work, graph transformations, scheduling and memory/layout optimizations, plus close collaboration with hardware architects on co-design.

LLVM · MLIR · TensorFlow +3

• United Kingdom
• Hybrid
• Senior

Develop algorithms and optimizations for NVIDIA's LPX inference and compiler stack, working at the intersection of large-scale systems, compilers, and deep learning. The role involves building high-performance runtime and compiler components, mapping inference workloads onto future hardware, and collaborating with hardware architects on codesign. Distinct focus on LLVM/MLIR, graph transformations, and spatial accelerators.

LLVM · MLIR · TensorFlow +3

• London
• On-site
• Senior
• Permanent

Develops learning-based locomotion and whole-body control policies for humanoid robots, using reinforcement and imitation learning, generative models and motion primitives. Builds scalable simulation and training pipelines in Isaac Lab and MuJoCo, and deploys, debugs and fine-tunes policies on physical robots, tackling sim-to-real transfer and real-time inference latency.

Isaac Lab · Isaac Sim · MuJoCo +1

• London
• Mid-level
• Permanent

Backend engineering role focused on the systems that keep ChatGPT reliable at scale, spanning shared services, APIs, asynchronous processing and infrastructure migrations. Engineers write production code, own rollout and rollback, and improve monitoring and diagnostics, with on-call and incident response duties. Distinct for its close coupling of infrastructure work to a high-traffic consumer product.

ChatGPT · APIs · Cloud Infrastructure +2