Artificial Intelligence Jobs

• London
• Hybrid · 3 days in office

A general expression-of-interest pipeline for experienced software engineers, ML researchers and engineers, computational chemists and technical program managers. The interdisciplinary team builds predictive and generative AI models for drug design, working across therapeutic areas and modalities. The role follows a hybrid model requiring three days a week in the London office.

AlphaFold

• London
• Hybrid
• Permanent

Backend-focused product engineering role building Go services and APIs that let developers and AI agents work in parallel within customer-controlled cloud environments. You'll design orchestration for long-running tasks, handle permissions, credentials and isolation, and own outcomes from customer discovery through shipping and operating production systems.

AWS · GCP · Azure +2

• London
• Hybrid
• Mid-level
• Permanent

Builds and deploys production-grade ML software, tools and infrastructure, creating reusable solutions that accelerate ML delivery and capability testing of frontier AI models. Leads technical scoping and architectural decisions, advises clients and partners, and works with frontier labs on AI safety red teaming and evaluation.

AWS · Azure · GCP +5

• London
• Hybrid
• Senior
• Permanent

Lead the design, build and deployment of production-grade ML and LLM systems for national security and AI safety clients, including capability testing of frontier models. Act as a trusted technical advisor, define engineering standards for ML at scale, and mentor junior engineers while working with frontier labs on red teaming and evaluation.

TensorFlow · PyTorch · AWS +4

• London
• Manages people
• Permanent

Join the Preparedness team to anticipate and mitigate loss-of-control risks from increasingly capable AI systems, potentially culminating in recursive self-improvement. The role spans scalable oversight, automated auditing, monitorability testing, model behaviour science, and coordination mechanisms, alternating between hypothesis-driven research and building interventions that affect production models.

• London
• Hybrid
• Permanent

Architect novel generative models to design functional proteins, working in an interdisciplinary team of ML researchers, protein engineers and biologists. The role spans data curation, evaluation metrics, rapid prototyping, cloud training/inference optimisation and planning wet lab testing campaigns, with about 10% of time for self-development.

• Penryn
• On-site
• £21,805 pa
• Entry level
• Contract

Develops physics-aware spatio-temporal graph neural networks for 0–6-hour visibility forecasting, focusing on low-visibility events in southeast England. The work spans six packages, from benchmarking NWP and ML baselines to linking learned representations with atmospheric physics, testing robustness to degraded observations, and operational evaluation with Met Office scientists.

STGNNs · NWP

• London
• Hybrid
• Senior
• Permanent

Builds and operates the platform running long-lived agentic workflows, where a single run can last hours and fan out across dozens of subagents. Work spans durable execution, checkpointing and retries, LLM integration with guardrails, and tracing and cost attribution across services and two languages, weighted towards backend and platform in TypeScript and Node.js.

Restate · PostgreSQL · Google Cloud +7

• London
• Hybrid
• Senior
• Permanent

Builds and operates the platform running long-lived agentic workflows in production, where a single run can last hours and fan out across dozens of subagents. Work spans durable execution, checkpointing and retries, LLM integration with guardrails, and tracing and cost attribution across services and two languages, with a backend and platform weighting in TypeScript and Node.js.

Restate · PostgreSQL · Google Cloud +7

• Sheffield
• £40,704 – £45,641 pa
• Permanent

Deliver and develop undergraduate and postgraduate cyber security and AI programmes using an applied, project-based approach rather than traditional lectures. Teach technical areas such as ethical hacking, network intrusion detection, digital forensics and AI governance, with access to dedicated cyber security and PlayStation development labs.

Software-Defined Networking · Virtualisation

• Manchester
• Senior

Lead the design and delivery of AI, machine learning, agentic AI and RAG-based solutions for a financial consultancy's client engagements. Build production-grade models with Python and PyTorch, design MLOps frameworks, CI/CD pipelines and cloud-native model serving, while mentoring engineers and shaping technical strategy.

PyTorch · GCP · Docker +4

• Norwich
• £20,409 pa
• Entry level
• Contract

Develops hybrid fault diagnosis methods for offshore wind turbine drivetrains, combining physics-based analytical models with AI-driven data analysis to improve fault detection and reduce false alarms. The work spans numerical simulation, finite element modelling and experimental validation, with the goal of supporting predictive maintenance and cutting downtime costs.

Accelerometers

• London
• Hybrid · 3 days in office
• £95,000 – £105,000 pa

Hands-on role designing, building and maintaining production AI solutions across a professional services firm, focused on legal service delivery, knowledge management and operational efficiency. Work spans Copilot Studio, Azure AI Foundry and Azure DevOps, with prompt design, grounding strategies, agentic AI and integration into core business systems, alongside senior stakeholders and knowledge teams.

Microsoft Copilot Studio · Azure AI Foundry · Azure DevOps +2

• Exeter
• £21,805 pa
• Contract

Investigates how two neuroscience developments—astrocyte-neuron interactions and spontaneous retinal waves—can improve deep networks. The work involves adding astrocyte-inspired regularisation to training and using synaptic plasticity rules for network initialisation, then testing generalisation, robustness, explainability, learning speed and data efficiency.

• Butterrow
• £55,000 – £65,000 pa

Designs and builds real-time embedded software in C and C++ for sensors and microelectronics, alongside ML pipelines, CI/CD, and live model monitoring. Develops generative AI and LLM systems including RAG and fine-tuning, plus Spark or dbt ETL pipelines and IoT data services. Works in a small team owning the full SDLC from clean-sheet design to tested, deployed code.

Spark · dbt · CI/CD +1