Machine Learning Jobs

• New York, United States
• Hybrid · 2–3 days in office
• Mid-level

Builds high-fidelity CFD models from geometry clean-up and meshing through simulation and post-processing, using Star-CCM+, OpenFOAM or Fluent and parametric CAD tools. Works alongside data scientists and ML engineers to generate simulation datasets for deep learning surrogates, running jobs on cloud and on-premise HPC, with occasional international travel to customer sites.

Star-CCM+ · OpenFOAM · Fluent +4

• London

Owns the product capability for post-training LLMs, turning research methods into deployable model improvements for customers. Builds reliable training harnesses, synthetic-data pipelines and evaluation workflows, applying SFT, preference optimisation, RLHF/RLAIF and verifier-based approaches. Works closely with Research and platform teams, with a roadmap spanning SaaS, VPC and air-gapped deployments.

PyTorch · LLMs · SaaS +1

• London
• Hybrid
• Senior
• Permanent

Set the technical direction for a petabyte-scale object storage platform underpinning autonomous driving AI, leading a multi-quarter programme from architecture through adoption. Build production services and controllers in Python or Go with Kubernetes and Terraform, optimising read performance, caching and cost while partnering with ML, data, security and privacy teams.

Kubernetes · Terraform · Azure Blob +3

• 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
• Mid-level
• Permanent

Builds and operates cloud infrastructure, automation and deployment systems, primarily on Azure, using Terraform and Ansible for infrastructure as code. Supports CI/CD pipelines, containerised workloads, monitoring, observability and cost optimisation, and handles incident response and root-cause analysis. Works closely with engineering teams to improve the developer experience.

Azure · AWS · GCP +4

• United Kingdom
• On-site
• Lead · manages people
• Permanent

Lead multidisciplinary teams developing next-generation photonic and optoelectronic systems, setting technical vision and defining architectures from concept through design, integration and validation. Oversee PIC design, simulation, tape-out and test, manage foundry and packaging partners, and shape the Photonics Group's strategy while mentoring talent.

Lumerical · Ansys · Synopsys +2

• United Kingdom
• On-site
• Mid-level
• Permanent

This role involves providing regulatory expertise across diverse innovation projects, supporting multidisciplinary teams in meeting international quality and compliance standards. The specialist will interpret evolving regulations, contribute to quality management systems, and help shape regulatory strategies across medical and non-medical sectors. It offers broad exposure to global markets and emerging technologies within a consultancy environment.

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

Senior technical owner for a portfolio of education customers, acting as the "CTO of your book of business" from pre-sales discovery through deployment and adoption. Owns technical account plans across ChatGPT Edu, the OpenAI API and Codex, translating institutional priorities into architectures, adoption roadmaps and use-case portfolios.

ChatGPT Edu · OpenAI API · Codex

• Monroe, Ohio, United States
• On-site
• Mid-level
• Shift work

Provide first response to engineering fault conditions and carry out electrical and mechanical planned and reactive maintenance across a highly automated customer fulfilment centre. Diagnose breakdowns, perform assembly and sub-assembly repairs from blueprints and schematics, analyse MHE performance data and complete quality inspections. Initial 6-9 months involve training and travel to another North American site, with shift work covering days and weekends.

Computerized Maintenance Management Systems · G-Suite · MS Office

• London
• On-site
• Senior
• Permanent

Builds and scales generative and predictive models of cellular behaviour, acting as the bridge between ML theory and implementation. Day to day involves optimising large neural networks, distributed multi-GPU/multi-node training, profiling GPU workloads, and productionising research code for multi-modal biological data.

PyTorch · CUDA · Triton +1

• London
• Hybrid · 3 days in office
• Director · manages people
• Permanent

Lead a team of senior Applied AI Architects acting as technical CTOs for OpenAI's largest North EMEA customers, owning technical account plans across ChatGPT Enterprise, the API, Codex and agentic solutions. Sets the regional operating model with Sales, allocating technical resources and guiding customers from pre-sales discovery through production adoption.

ChatGPT Enterprise · OpenAI API · Codex

• Cambridge
• On-site
• Permanent

Consultants design and deploy machine learning systems for diverse defence and security projects, from proofs-of-concept to working prototypes. The role spans literature analysis, model training, rapid prototyping and experiment design, often combining science, engineering and ML in novel settings. Work is on-site in Cambridge within a flat, collaborative team of around 40 specialists.

PyTorch · TensorFlow · Keras +3

• London
• Hybrid · 1–2 days in office
• £75,000 – £85,000 pa
• Senior

Own the ML Ops function within a growing AI and data organisation, building and maintaining production-grade ML orchestration pipelines with Dagster, Airflow or Prefect. Deploy, monitor and scale ML and LLM-powered services on Kubernetes using Terraform or Bicep, with strong CI/CD and observability practices, working closely with data scientists and client-facing teams.

Dagster · Airflow · Prefect +5

• London
• £80,000 – £90,000 pa

This role involves designing and deploying AI-native applications using Large Language Models, agentic systems, and multimodal AI technologies. The engineer will build full-stack solutions, including intelligent agent workflows on Google’s Gemini platform, RAG architectures, and scalable front-end interfaces with React and Svelte. Collaboration with stakeholders to deliver production-grade AI applications that solve real business problems is a core responsibility.

• Southampton
• Remote
• £85,000 – £100,000 pa
• Lead

Own the design and build of scalable data platforms, pipelines and secure data services on AWS, spanning S3, Glue, Redshift, Athena, Lambda and Step Functions. Combines hands-on engineering with technical leadership, setting standards for data quality, governance and observability while enabling ML, AI and business intelligence across a venture-backed AI company.

AWS · S3 · AWS Glue +5