Artificial Intelligence 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 maximize GPU/TPU utilization.

Kubernetes · Kueue · Volcano +5

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

Joins the Compute Infrastructure team to keep a planet-scale GPU accelerator fleet healthy and efficient. Builds observability systems, telemetry pipelines and automated recovery mechanisms, hunting compute waste and optimising accelerator utilisation and workload goodput alongside ML platform and research teams.

GCP · Kubernetes · Nvidia GPU +1

• Spain
• Remote
• Senior
• Permanent

Lead and architect research strategy applying LLMs, deep learning and other modern AI techniques to cybersecurity, driving novel approaches to reasoning, summarisation and interactivity. Build production-ready AI systems at massive scale, make strategic decisions on model architectures and deployment, and mentor scientists while shaping the company's AI vision.

CrowdStrike · LLM · Deep Learning Frameworks +2

• Ireland
• Remote
• Senior

Lead applied research applying LLMs, deep learning and other modern AI techniques to cybersecurity, architecting research strategy and making decisions on model architectures, training and deployment. Build production AI systems at massive scale while mentoring scientists and aligning technical strategy with senior leadership. Distinct for its greenfield, research-to-production focus and thought-leadership expectations.

LLM · Deep Learning Frameworks · GPU +1

• London

Customer-facing AI engineering role delivering professional services engagements, helping clients build and productionize GenAI applications such as RAG, multi-agent systems and Text2SQL. Involves production rollouts, serving as a trusted technical advisor, and collaborating with product and engineering to shape the roadmap.

Databricks · Apache Spark · HuggingFace +7

• New York, United States
• US$150,000 – US$250,000 pa

Builds and deploys customer-facing applications that put physics AI models into production, working directly with customers, data scientists and ML engineers. Involves Python/FastAPI microservices, cloud deployment with Kubernetes, Terraform and AWS/Azure, plus travel to customer sites 3-4 weeks per quarter.

FastAPI · Helm · Kubernetes +3

• New York, United States
• Hybrid
• US$150,000 – US$250,000 pa
• Senior

Builds and deploys customer-facing applications that put physics AI models into production, working directly with customers, data scientists and ML engineers. Involves full-stack work, FastAPI microservices in Python, and cloud deployment with Kubernetes, Terraform and AWS/Azure, plus 3-4 weeks of travel per quarter to customer sites.

FastAPI · Helm · Kubernetes +3

• London
• Hybrid
• £65,000 – £145,000 pa

The Chem Bio team researches, evaluates and mitigates chemical and biological risks from frontier AI, running capability evaluations, building benchmarks and datasets, and developing safeguards and monitoring methods. The role spans ML, computational biology, chemistry and biosecurity, with findings shared with AI companies and government. It is an expression of interest for research engineers and scientists at any seniority.

• Cambridge
• Hybrid
• Director · manages people

Lead the AI engineering strategy and delivery of advanced AI products and platforms, reporting to executive leadership. Manage software, platform and AI engineering teams, driving adoption of Agentic AI, LLMs, RAG and multi-agent architectures on Azure, AWS or GCP. Requires a strong engineering background and proven leadership in high-growth environments.

LangGraph · LangChain · Semantic Kernel +7

• London
• Hybrid · 3 days in office
• Senior

Senior individual contributor building and owning shared platform, tooling and infrastructure for a research team, including LLM-based agent systems, evaluation frameworks and supporting infrastructure. Works closely with interdisciplinary researchers to translate varied needs into maintainable Python systems, with strong engineering discipline around testing, documentation and observability. Also contributes to architectural decisions, engineering standards and mentoring through code review and knowledge sharing.

AWS · Kubernetes · Slurm +2

• Chesterfield
• £39,000 – £42,000 pa
• Lead
• Contract

You will develop an intelligent weld fabrication and control platform, integrating AI and computer vision with BIM and IFC digital twins to improve planning, decision-making and productivity. Based primarily at Power System Services with close links to the University of Sheffield, you will design algorithms, build software prototypes, train AI models and test solutions under realistic industrial conditions.

BIM · IFC

• London
• £50,733 – £54,775 pa
• Entry level
• Contract

Conducts research in AI-enabled process modelling and optimisation, using large language models to generate dynamic process models and discovering data-driven control strategies, with a focus on the sim-to-real transfer gap. Works with industry partners at Repsol and academics across Computing and Chemical Engineering, building frameworks coupling AI models with process simulators and releasing stable AI-enabled software workflows.

Large Language Models · Process Simulators

• United Kingdom
• Remote
• Lead

Customer-facing technical authority on Generative AI, LLMs and applied ML for digital-native and startup accounts across EMEA. Shapes architectures, builds hands-on proofs of concept and reference implementations on Databricks (Mosaic AI, MLflow, Model Serving, Vector Search, Unity Catalog), and leads fine-tuning and evaluation engagements on open models. Also mentors the field engineering organisation and represents the company externally through talks and blogs.

Databricks · Mosaic AI · MLflow +7

• Cambridge
• Hybrid
• Director · manages people

Lead the AI engineering strategy and delivery of advanced AI products and platforms, reporting to executive leadership. Manage software, platform and AI engineering teams, driving adoption of Agentic AI, LLMs, RAG and multi-agent architectures across Azure, AWS or GCP. Requires a strong engineering background and proven leadership in high-growth environments.

LangGraph · LangChain · Semantic Kernel +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. Hands-on coding in Python to build prototypes, evaluation harnesses, integrations and production accelerators, while making decisions across models, agents, retrieval, reliability, latency, cost, safety and governance.

OpenAI