Artificial Intelligence Jobs

• Southampton
• Hybrid
• £70,000 – £92,258 pa
• Lead

Lead the creation of an enterprise-wide AI Accelerator programme, combining technical leadership with programme-level influence. You will prototype with geo foundation models, agentic systems and LLM orchestration, write production-grade code, mentor participants and engage senior stakeholders to embed responsible AI across a geospatial data business.

Geo Foundation Models

• Cambridge

Hands-on compiler engineering role focused on kernel generation and computational graph optimizations for next-generation NVIDIA GPUs. You'll solve complex compilation problems for AI inference and training workloads, working with MLIR, C/C++ and Python, and partner with software, hardware and research teams on hardware/software co-design and datacenter-scale AI deployment.

MLIR · GPU · CPU +1

• United Kingdom
• Remote
• Senior

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. Works with MLIR, C/C++ and Python, partnering with software, hardware and research teams on hardware/software co-design and datacenter-scale AI deployment.

NVIDIA GPUs · MLIR · CPU +2

• 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
• On-site
• Senior · manages people
• Permanent

Lead teams of technicians running AWS data centre operations, owning the full infrastructure lifecycle from rack installation and break-fix maintenance to decommissioning. The role spans building new sites, vendor management, health and safety compliance, and adopting high-density GPU, AI accelerator and liquid-cooling technologies, with a focus on automation and operational metrics.

AWS · GPU · AI Accelerator Platforms

• London

Owns the product capability for post-training LLMs, turning research methods into deployable model improvements for customers. Builds reliable training harnesses covering data prep, evaluation and serving, applying SFT, preference optimisation, RLHF/RLAIF, distillation 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 · 3 days in office
• Mid-level

Join the model performance and scaling team to implement and optimize LLM post-training methods on frontier models, collaborating with research teams to turn new methods into production-ready systems. The role focuses on distributed training and inference performance, low-precision methods, and frameworks like JAX or PyTorch, in a hybrid London setting.

JAX · PyTorch · NCCL +5

• London

Builds the LLM access layer for agents on the PhysicsX platform, serving self-hosted open models and routing each task to the model or combination that best fits its constraints. Owns inference engines such as vLLM and SGLang and serving platforms such as KServe, including packaging, deployment, health checks, upgrades and rollback, plus GPU autoscaling, batching, caching and quantisation tuning. Sets technical direction for air-gapped serving and cost, quality and latency-aware routing.

vLLM · SGLang · KServe +5

• London
• Remote
• Temporary

A four-month, full-time research fellowship working on empirical ML systems or reinforcement learning projects, using external infrastructure like open-source models and public APIs. Fellows receive direct mentorship from Anthropic researchers and aim to produce a public output such as a paper submission, with project areas spanning accelerator backends, synthetic data pipelines, and RL environments.

Claude

• London
• Remote
• £265,000 – £375,000 pa
• Senior
• Temporary

Paid, fixed-term research residency of six weeks to six months for people transitioning into empirical AI safety work, with a scoped project and direct mentorship from Anthropic researchers. Residents get Claude model and GPU compute access and work on alignment, interpretability, scalable oversight, red-teaming or ML systems alongside research teams.

Kubernetes · LLMs · Claude +1

• Remote (UK)
• Remote
• Lead
• Permanent

Lead the technical delivery of computer vision projects for defence clients, architecting systems that bridge SOTA research and production deployment. Act as technical authority across bids, strategy and capability building, mentoring multidisciplinary teams while working 2-4 days per week on client sites.

• 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

• London
• Hybrid · 3 days in office
• Permanent

Partner directly with engineering organizations to design, build, and deploy AI-powered software development workflows using Codex, from use-case selection through prototyping, evaluation, and production rollout. Combines hands-on coding in Python with customer leadership, building evaluation harnesses, integrations, and reusable architectures while feeding deployment insights back to Product and Research teams.

Codex · OpenAI · OpenAI Cookbook

• Manchester
• £60,000 – £80,000 pa
• Senior

Lead the design and ownership of end-to-end enterprise solution architectures for major Financial Services clients, spanning RESTful APIs, microservices, event-driven systems and cloud-native platforms. The role focuses on API-first governance, legacy modernisation and Generative/Agentic AI solutions, with technical leadership across bids, proposals and delivery teams.

AWS · Azure · GCP +7

• London
• Senior

Customer-facing engineering role owning architecture and design decisions while building production-grade data, AI and application systems on the Databricks platform. You embed with client teams, from technical ICs to executives, to scope and deliver end-to-end solutions, contributing reusable accelerators and product feedback. Requires hands-on coding in Python, Scala or TypeScript, deep Apache Spark and distributed computing expertise, and multi-cloud knowledge, with around 20% travel to customer sites.

Databricks · Apache Spark · AWS +7