Machine Learning Jobs

• London
• Remote
• Permanent

Owns the internal developer platform used by AI researchers to write, build, and debug training code, covering dev environments, container images, CI/CD, and training instrumentation. Works closely with researchers and ML engineers on stability, scalability, and observability, with a compensated 24x7 on-call rotation for production troubleshooting.

Kubernetes · Python · Go +2

• United Kingdom
• Remote
• Mid-level
• Permanent

Own the design, build and deployment of LLM-powered agentic workflows for enterprise customers, integrating models with tools, APIs and sensitive data sources. Work across the full product lifecycle on the North AI workspace platform, building reliable, observable and auditable agents, with up to 20-40% travel to customer sites.

North · LLM · RAG +3

• United Kingdom
• Remote

Hands-on development of kernel generation and computational graph optimizations for next-generation NVIDIA GPUs, solving complex compilation problems for AI inference and training workloads. The role involves hardware/software co-design with software, hardware and research teams, and scaling datacenter AI deployments, with heavy use of MLIR, C/C++ and Python.

MLIR · GPU · CPU +1

• London
• Hybrid
• Senior

Customer-facing engineering role building and productionizing data and AI solutions on the Databricks platform. You own architecture and design decisions, delivering end-to-end systems spanning data engineering, ML/AI model integration and user-facing applications, embedding with client teams and travelling to customers around 20% of the time.

Databricks · AWS · Azure +7

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

Partner directly with Digital Native customers to design, build and deploy AI-powered products, taking ideas from early experimentation through evaluation, production launch and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions on model behavior, reliability, latency, cost, safety and governance.

OpenAI

• London
• Hybrid
• Lead
• Permanent

Lead the technical strategy, architecture and deployment of secure AI systems across high-stakes domains, bridging research and production. You'll set engineering standards for safe ML deployment, build scalable cloud infrastructure and multi-agent tooling, and partner with Frontier Labs on safety evaluations. The role also involves advising senior client stakeholders and mentoring engineering talent.

AWS · Azure · GCP +4

• London
• Hybrid
• £225,000 – £255,000 pa
• Senior

Embed directly with strategic enterprise customers to build production applications on Claude models, delivering artifacts like MCP servers, sub-agents and agent skills. Combines hands-on Python engineering with customer-facing discovery, codifying repeatable deployment patterns and feeding insights back to Product and Engineering. Founding FDE role with frequent travel (25-50%) to customer sites.

Claude · MCP

• Hatfield
• Hybrid
• Mid-level

Builds and maintains the core data warehouse powering analytics, reporting, machine learning and partner data products. Designs scalable ELT/ETL pipelines, dimensional models and reusable dbt transformations, with automated data quality checks and performance tuning. Works in an agile team alongside data scientists, analysts and platform engineers on Google BigQuery and Airflow.

dbt · Google BigQuery · Airflow +3

• Oxford
• Hybrid
• £81,322 – £112,488 pa
• Lead · manages people
• Permanent

Dual role combining line management of a growing ML engineering team with hands-on technical delivery across multiple client engagements. You'll shape ML engineering practice, lead multidisciplinary teams, oversee solution design and quality assurance, and support pre-sales and use case discovery alongside commercial teams.

• London
• £80,000 – £105,000 pa

Hands-on engineering role designing, building and supporting production-grade AI solutions in a professional services environment. You will work with stakeholders to identify use cases, develop AI applications and agents using Microsoft technologies such as Copilot Studio and Azure AI Foundry, and ensure solutions are secure, auditable and compliant with GDPR and the EU AI Act.

Microsoft Copilot Studio · Azure AI Foundry · Azure DevOps

• Cambridge
• Senior

Acts as the primary technical advisor to university research labs and faculty, embedding NVIDIA's frameworks and software stack into large-scale AI and HPC workloads. Drives joint research projects, delivers hands-on training and workshops, and feeds researcher needs back to engineering. Requires deep LLM lifecycle expertise across multi-node systems and around 30% travel.

NVIDIA AI Enterprise · NeMo Framework · Megatron Bridge +7

• London
• Hybrid
• Senior

Architect, deploy and support machine learning and GenAI solutions on AWS as part of an AI Enablement team, building ML pipelines, monitoring and infrastructure at scale. The role combines platform engineering with MLOps, using Terraform, Jenkins, Kubernetes and SageMaker to productionise data science models with CI/CD, versioning and security rigour.

AWS · Terraform · Jenkins +7

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

Senior technical owner for a portfolio of public sector customers, shaping AI strategy from pre-sales discovery through production adoption. Owns the technical account plan across ChatGPT Enterprise, the OpenAI API, Codex and agentic solutions, designing architectures covering models, data, integration, security and governance while coordinating specialists across deployment, product and partners.

ChatGPT Enterprise · OpenAI API · Codex +1

• London
• Remote
• Permanent

Embedded with strategic customers, you own end-to-end delivery of complex integrations, from technical architecture and product features to full-scale builds. The role pairs hands-on Python and API work with daily collaboration with customer engineers and executives, and involves regular travel for customer onsites.

ElevenLabs