Machine Learning Jobs

• London

Builds and owns the LLM access layer for agents on the PhysicsX platform, serving self-hosted open models and routing each task to the best-fitting model or combination. Sets technical direction for inference engines like vLLM and SGLang and serving platforms such as KServe, including air-gapped deployments, GPU autoscaling, batching, caching and quantisation. Works with Research and Post-Training specialists to move tuned models into production routes.

vLLM · SGLang · KServe +6

• New York, United States
• Hybrid
• Lead

Lead the ML approach to manufacturing and MRO data, taking models from design through deployment in customer production environments across cloud, on-prem and edge. Work with sparse, drifting sensor and process data, fusing physics simulation with shop-floor measurement, and set uncertainty quantification and validation standards. Requires travel to customer sites 3-4 weeks per quarter and mentoring of engineers and data scientists.

PyTorch · Pandas · FastAPI +2

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

Hands-on engineering partner to international public-sector customers, delivering scoped GenAI and agentic use cases from mission need through architecture, evaluations, production and documented handoff. Works with government agencies, systems integrators and cloud providers on supported OpenAI APIs and Codex, with explicit data, inference and production-readiness boundaries.

OpenAI · Codex · Model APIs

• London
• Hybrid
• Senior
• Permanent

Builds data-intensive, AI-powered applications and infrastructure that help operators and investigators detect, triage and review high-severity harm, working across UIs, services and pipelines. Partners closely with the Child Safety team and cross-functional groups, owning systems end-to-end in an ambiguous, fast-moving environment.

Spark · Kafka · Flink +3

• London
• Hybrid
• Senior

Customer-facing role building and productionizing data and AI solutions on the Databricks platform, owning architecture and design decisions for end-to-end systems spanning data engineering, ML/AI and application development. Embeds with client teams from technical ICs to executives, delivering production-grade systems, reference architectures and reusable accelerators, with around 20% travel to customer sites.

Databricks · AWS · Azure +7

• London
• Senior

Own end-to-end design for a major area of the Databricks platform, spanning data engineering, analytics, databases, apps and AI agents. Work ranges from framing and interaction models to visual polish, with heavy use of interactive prototypes and AI coding agents to ship changes directly in the codebase alongside engineers. Designers also set quality bars, run customer research, and build reusable UX patterns and design system components.

Databricks · AI Coding Agents · Genie +5

• London
• Remote
• Temporary

Four-month, full-time research fellowship in the Economics & Policy workstream, mentored by Anthropic researchers. Fellows design empirical studies on AI's economic effects, labour markets, and cyber/bio offense-defense balance, using open-source models and public APIs, with the goal of publishing a paper.

Open-Source Models · Public APIs

• London
• Hybrid · 1 day in office
• £255,000 – £325,000 pa
• Senior

Builds and operates security for large-scale AI clusters across multiple clouds and bare-metal data centers, covering IAM, network segmentation, encryption, default-deny ingress/egress and mTLS with service identity. Ships controls as secure defaults via infrastructure as code and GitOps, and designs secure CI/CD and Kubernetes workflows. Also threat models multi-cloud environments, mentors engineers and supports hiring.

Kubernetes · GitOps · VPC +4

• London
• Hybrid
• Senior
• Permanent

Owns embedded software that connects an autonomous driving AI to vehicle platforms, building integration and adaptation layers across hardware. Works on inference integration, vehicle data, navigation, localisation and motion control interfaces, taking features from design through HIL and vehicle testing. Requires strong modern C++ and Linux/QNX experience on Nvidia and Qualcomm platforms.

Nvidia · Qualcomm · Linux +3

• 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

• Solihull
• £45,000 – £62,000 pa
• Permanent

Research and develop AI/ML approaches for power electronics, designing, modelling and simulating converter systems (AC/DC, DC/DC, DC/AC) using tools such as MATLAB, PLECS or Ansys. The role sits at the intersection of power electronics and artificial intelligence, translating academic research into practical engineering applications across electric vehicles, rail and renewable energy.

MATLAB · PLECS · Ansys

• London
• Senior
• Permanent

Lead technical direction and delivery of complex enterprise AI engagements, shaping solution roadmaps with senior stakeholders and making architecture and engineering trade-offs. Design and implement production AI solutions on AWS spanning application, data, integration, security and operations, while establishing evaluation and responsible AI controls. Also mentors, sets technical standards and builds reusable assets for the Data & AI practice.

AWS

• London
• Mid-level
• Permanent

Builds and extends a data and ML platform that lets economists run analyses independently, automating pipelines and tooling with DBT, Python, Airflow, Spark, Iceberg and AWS services like Lambda, Bedrock and SageMaker. Works in a lean, no-on-call team without stand-ups or sprints, shaping technical direction for pricing, selection and delivery-speed projects.

DBT · Apache Airflow · Spark +6

• London
• Hybrid
• Senior

Owns the software engineering that brings data science and ML products into live production for the Autoplanner team, building AI-powered planning systems for global warehouses and last-mile assets. Works mainly in typed, well-tested Python (with some Java for OSP integration), handling cloud deployments, CI/CD, APIs, and MLOps model serving and monitoring on AWS.

AWS · GCP · Python +1

• Cambridge
• Hybrid · 2–3 days in office
• Senior

Work on complex R&D projects within the Modelling Team, training diverse models including large self-supervised ones and deploying them into production. Involves transformer architectures, distributed training, and inference optimisation, with mentoring responsibilities and cross-department collaboration.

GQA · KV-Caching · Flash Attention +2