Machine Learning Jobs

• London
• Hybrid · 3 days in office
• Senior

Join a newly formed LLM Engineering team to architect, implement and own systems bringing large language models into scientific and business processes. Work spans LLM serving stacks, agentic infrastructure, RAG, evaluation frameworks and fine-tuning, partnering with researchers to translate scientific needs into technical AI specifications.

vLLM · GCP · MCP

• 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

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

Join a multidisciplinary applied science team tackling optical and photonic challenges across defence, healthcare and energy. Day-to-day work spans lab experimentation and desk-based analysis, with a central focus on designing and developing photonic integrated circuits, plus free-space optics, fibre systems or photonic devices. Tailored training is provided for those without an integrated photonics background.

Ansys Lumerical · Zemax · Python +1

• London
• On-site
• Entry level
• Permanent

PhD students join an Amazon Science team to own an end-to-end research project, from scoping with a mentor to deploying algorithms, models or systems into production. Projects span computer vision for Prime Video quality, multimodal AI for Rufus, automated reasoning and formal verification, observability for distributed systems, and recommendation models. Interns may publish at top-tier conferences or see their work ship before the internship ends.

Rufus

• London
• Hybrid
• Senior · manages people
• Permanent

Lead end-to-end delivery of complex AI/ML engagements for enterprise customers, from strategic planning through pre-production deployment and optimisation. Architect solutions on AWS services with a focus on Generative AI using Amazon Bedrock and SageMaker, while mentoring junior consultants and supporting pre-sales scoping. Based in AWS offices in London, Manchester, Bristol or Cambridge when not at customer sites.

AWS · Amazon Bedrock · SageMaker

• United Kingdom
• Remote
• Permanent

Deploy Cohere's North AI workspace platform into private cloud and on-premises environments, leading planning, configuration, testing and rollout. Partner with enterprise IT teams on infrastructure, security and data management, administer large-scale Kubernetes clusters with Helm, and travel up to 20-40% to customer sites. Requires active DV clearance (preferred) and strong cloud, networking and virtualization expertise.

Kubernetes · Helm · Git +3

• 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

• 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

• Reading
• Senior

Acts as the primary technical contact for academic and research partners, helping integrate NVIDIA's accelerated computing stack into large language model and HPC workloads. Drives joint research projects, delivers hands-on training and workshops, and feeds researcher needs back to engineering. Requires deep multi-node LLM lifecycle expertise and involves around 30% travel.

NVIDIA AI Enterprise · NeMo Framework · Megatron Bridge +7

• United Kingdom
• Hybrid
• Senior

Take technical ownership of AI projects for defence and security clients, designing and building agentic systems that search, interpret and act on information. Lead smaller projects, mentor junior engineers, and work directly with clients on proposals and new work. Requires SC clearance and UK residency.

• Dublin, Ireland
• Director

This role involves leading teams on high-profile forensic data analytics and FinCrime engagements, managing complex projects, and advising clients on regulatory compliance. The position requires extensive experience in data analytics, AML, fraud investigations, and cloud technologies, with a focus on strategic application and leadership.

• London
• On-site
• Lead · manages people

Lead a team of six applied scientists building vision-language models for document data extraction and sub-5MB models that run on mobile devices, using distillation and quantisation. The role is roughly 50% hands-on, contributing to dataset creation, training and evaluation code in Python and PyTorch, while setting the roadmap with product and engineering and publishing research.

AWS · Encord · Ray +3

• London
• Hybrid
• Permanent

Builds ground-truth datasets and computer vision classifiers that describe complex driving scenes, spanning road geometry, spatial relationships, road users and driving behaviour. Works with internal customers to define annotation tasks and acceptance criteria, curates datasets, and integrates classifiers with enrichment infrastructure for corpus analysis and scenario mining.

PyTorch · SQL

• 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
• Mid-level

Day-to-day responsibility for requesting data, monitoring and enhancing Key Risk Indicators and Management Information (MI) for first-line financial crime risk. Builds and maintains MI dashboards, automated data pipelines and analytical tooling using Python, SQL, Power BI or Tableau, and partners with 2LOD and Data Engineering to improve data quality and governance. Distinct for its strategic ownership of the financial crime data and analytics roadmap within an asset management and insurance group.

Power BI · Tableau · AWS +2