Artificial Intelligence Jobs

• Manchester
• Hybrid · 2 days in office
• £60,000 – £80,000 pa
• Senior
• Permanent

Builds GenAI proof-of-concepts and production systems for clients, using RAG, intelligent agents and LLM frameworks such as LangChain and CrewAI. The full stack role spans Python/FastAPI or TypeScript backends, React frontends, plus AWS or Azure deployment with Docker, Kubernetes and Terraform. Working alongside senior client stakeholders to turn business problems into scalable, secure technical solutions.

AWS · Azure · Docker +7

• Oxford
• On-site
• £40,178 – £48,700 pa
• Entry level
• Contract

Designs and runs real-time in-situ X-ray imaging solidification experiments on steel using laboratory and synchrotron sources, developing multi-modal imaging methods and post-solidification microscopy. Works in the Process Dynamics group with STFC, Loughborough University and industrial partners, building bespoke experimental rigs and Python computer-vision algorithms for automated data analysis.

Synchrotron · Python

• London
• On-site
• £150,000 – £175,000 pa
• Senior

Hands-on role building LLM agent and retrieval systems on a small UK core team, reporting to the Head of Engineering. Work spans LangGraph/LangChain workflows, RAG pipelines with Qdrant and GraphRAG on Neo4j, model integration across Anthropic, OpenAI and Bedrock, plus evaluation harnesses and observability. Token cost, latency and auditability are treated as engineering constraints throughout.

LangGraph · LangChain · FastAPI +7

• Exeter
• £21,805 pa
• Entry level
• Contract

An interdisciplinary PhD co-designing miniaturised, low-power sensing hardware with AI for field-based wildlife monitoring, including individual recognition and automated behaviour quantification. Systems are benchmarked in controlled conditions then validated on wild jackdaws and West African field sites, spanning behavioural ecology, electronic engineering and data science.

Thermal Imaging · Cameras · Microphones

• Cambridge
• Hybrid
• Senior

Develops algorithms and optimizations for NVIDIA's LPX inference and compiler stack, building high-performance runtime and compiler components for end-to-end inference. Involves mapping large-scale neural network workloads onto future hardware, working with LLVM/MLIR, and collaborating with hardware architects on codesign. Hybrid role based in Cambridge.

LLVM · MLIR · TensorFlow +3

• London
• Mid-level

Day-to-day responsibility for requesting data, monitoring and enhancing Financial Crime Key Risk Indicators and management information. Builds and maintains MI dashboards, automated data pipelines and analytics using Python, SQL, Power BI or Tableau, and partners with 2LOD and Data Engineering teams on root-cause analysis and remediation. Also owns the Financial Crime data and analytics roadmap and presents risk-tolerance performance at governance forums.

Power BI · Tableau · AWS +2

• United Kingdom
• Hybrid
• Senior

Develops algorithms and optimizations for NVIDIA's LPX inference and compiler stack, building high-performance runtime and compiler components and mapping large-scale inference workloads onto future hardware. Works at the intersection of compilers, systems and deep learning, using LLVM/MLIR and frameworks like PyTorch and TensorFlow, and collaborates with hardware architects on codesign.

LLVM · MLIR · TensorFlow +3

• London
• Mid-level
• Permanent

Backend engineering role building and operating the distributed systems behind ChatGPT at significant scale. You'll write production code, design shared services and APIs, lead infrastructure migrations, and own production behaviour through monitoring, staged rollouts and incident response. Combines backend development with reliability and on-call work, closely partnered with product teams.

ChatGPT

• London
• Permanent

Designs, builds and maintains production harm-detection systems using SQL, Python, machine learning and language models, developing signals, classifiers and pipelines on shared engineering platforms. Also owns protection strategy and cross-functional delivery for a harm area or product launch, connecting detection with policy, review, enforcement and measurement, and participates in an on-call rotation.

OpenAI

• London
• Permanent

Conducts research on safety post-training methods such as RLHF, RLAIF, DPO, PPO, reward modeling, adversarial training and synthetic data, then builds evaluations for harms like jailbreaks, hallucination and policy adherence. Works cross-functionally with core training, product, policy, legal and trust and safety teams to ship safety improvements into production models.

OpenAI