Machine Learning Jobs

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

Join a newly formed Scheduling team to own and extend systems that orchestrate compute allocation for complex ML workloads on Kubernetes. You'll design scheduling policies like gang scheduling and topology-aware placement, build custom Kubernetes controllers and CRDs, and partner with ML researchers to optimize GPU and TPU utilization.

Kubernetes · Kueue · Volcano +5

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

Join the Compute Infrastructure team to keep a planet-scale GPU accelerator fleet healthy and efficient. You'll build observability and telemetry pipelines, automate recovery, hunt compute waste, and optimise accelerator utilisation for large-scale training and inference, working closely with ML infrastructure and research teams.

GCP · Kubernetes · Nvidia GPU +1

• London
• On-site
• £90,000 – £120,000 pa
• Senior
• Permanent

Embedded in portfolio companies to deliver data science and machine learning initiatives, partnering with C-suite stakeholders to define problems with measurable commercial value. You own projects end to end, from discovery and modelling through deployment and scaling, across use cases like pricing, sales optimisation and fraud reduction. The role sits in a deployment team within an investment and private equity ecosystem, balancing technical rigour with pragmatic delivery.

AWS · GCP · Azure +1

• London
• Hybrid
• Lead · manages people
• Permanent

Lead a team of ML engineers and applied scientists building synthetic data from generative world models like GAIA-3, turning them into a production engine for training-grade driving data. Own the pipeline end to end, from checkpoint and large-scale GPU inference to artefacts landing in driving-model training, while setting technical direction on rig transfer, pose transfer and controllability.

Python · PyTorch · GPU +1

• 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
• 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

• Southampton
• Hybrid · 3 days in office
• £70,000 – £75,000 pa
• Senior

You will shape and implement AI-enabled business transformation, assessing new tech and AI systems against business, technical and security needs, then leading their rollout and lifecycle. The role blends business analysis, process improvement and troubleshooting within a regulated environment, working with stakeholders, data specialists and vendors. It also involves mentoring junior technology staff and maintaining design and support documentation.

Microsoft Office · Excel · Power BI

• Huddersfield
• Hybrid
• £55,000 – £65,000 pa
• Mid-level

Develops software and applied AI models for machine vision, working across C++, C# and Python to build image-processing algorithms and integrate models into reliable applications. Covers dataset preparation, model evaluation, automated testing and performance tuning for accuracy, inference speed and memory use, with a path to lead an AI team.

OpenCV · PyTorch · TensorFlow +4

• London
• On-site
• Mid-level
• Permanent

This role involves conducting advanced research to identify systematic anomalies in the equities market, developing and implementing trading strategies, and maintaining portfolio trading systems. You will work with large datasets, perform alpha idea generation, and contribute to the scalable research framework.

• London
• On-site
• Senior
• Permanent

The role involves designing and managing data-driven trading models for global macroeconomic assets, primarily using futures and foreign exchange. Responsibilities include developing systematic trading strategies, applying advanced quantitative methods, and collaborating in a research-driven environment to enhance alpha models and portfolio construction techniques.

• Ilford
• £25,000 – £45,000 pa
• Entry level

A self-paced traineeship taking complete beginners through AI and data science fundamentals, Python, machine learning, and Git/GitHub, with Microsoft AI-900 certification and two tutor-assigned industry projects. On completion, candidates are placed into a Junior AI Engineer role with a partner employer within 20 miles of their location.

Azure · Git · GitHub

• Salford
• £25,000 – £45,000 pa
• Entry level

A self-paced traineeship taking complete beginners through AI fundamentals, Python, data handling, machine learning and Git/GitHub, with Microsoft AI-900 certification and two tutor-assigned industry projects. On completion, candidates are matched to a Junior AI Engineer role within 20 miles of their location, with training designed to be completed in 6-12 months around existing commitments.

Azure · Git · GitHub

• Cambridge
• Hybrid
• Mid-level

Design and build LLM-agentic workflows that reason over knowledge graphs, proprietary methods and scientific literature to generate and triage therapeutic hypotheses for rare diseases. Works closely with drug discovery scientists in a cross-functional team, using Python, ADK and AgentSpace, with scope to own workflows end to end.

Python · ADK · AgentSpace

• 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
• Remote
• Director

Owns the EMEA go-to-market strategy for the Banking/Payments, Capital Markets and Insurance verticals, building growth execution plans and C-level customer and partner relationships. Works cross-functionally with sales, pre-sales, marketing and enablement to create scalable, regionally tailored sales plays, and acts as an industry thought leader through white papers and event keynotes. Requires travel for conferences and customer meetings.

Databricks · Data + AI Platform · Genie +5