Artificial Intelligence Jobs

• London
• Hybrid
• Senior
• Permanent

Lead the design, build and deployment of production-grade ML systems for national security and AI safety clients, including capability testing of frontier models. Act as a technical advisor to customers, define best practices for deploying ML at scale, and mentor junior engineers. Distinct for its focus on red teaming, evaluation and high-stakes government and frontier lab work.

TensorFlow · PyTorch · AWS +4

• London
• Hybrid
• Lead · manages people
• Permanent

Set technical direction for complex AI/ML projects, leading delivery of large-scale platforms in high-risk national security environments. Define roadmaps across multiple workstreams, justify architectural decisions to senior stakeholders, and coach engineers while building shared deployment and CI/CD infrastructure. Requires DV eligibility and occasional on-site client work.

Kubernetes · TensorFlow · PyTorch +1

• London
• Hybrid
• Senior
• Permanent

Sets technical strategy and roadmap for fault detection and fallback systems in an autonomous driving stack, designing and training detection mechanisms for robust driverless operation. Leads integration into the shared driving stack, aligning ML, inference optimisation and software teams, and mentors through architecture reviews. Works with large-scale training and fleet data in a small, high-impact team.

• Welwyn
• Senior

Leads the design and development of production-grade AI agents, assistants and dashboards that move teams from manual processes to AI-enabled systems. Works with LLMs, RAG and multi-agent frameworks in Python and R, partnering with IT, architecture, data governance and compliance to keep regulated use cases secure, traceable and validated. Also sets coding standards and mentors engineers.

FastAPI · Pydantic · asyncio +7

• Chelmsford
• Director · manages people
• Permanent

Lead a globally distributed software organisation across the UK, Europe and Asia, unifying teams from different histories and skill sets into one engineering culture. Balance customer-specific solutions with strategic roadmap delivery and architectural modernisation, while driving AI adoption both in how software is built and in what ships to customers. Own engineering budgets, staffing plans and vendor relationships, reporting to senior leadership.

• United Kingdom
• Remote
• Permanent

Backend-leaning full-stack role building and maintaining a platform on top of cutting-edge voice models used by millions, adding product functionality and integrations, and strengthening internal infrastructure for scale, performance and security. Engineers collaborate with Frontend, Growth and Sales teams, with staffing flexible across projects.

Kubernetes · Stripe

• London
• Hybrid
• Lead
• Permanent

Owns the commercial vision and go-to-market strategy for AWS AI services across UK Central Government and Transport, leading complex multi-stakeholder sales engagements from opportunity identification to close. Works with senior government and transport leaders on use cases like citizen services, border management and infrastructure planning, navigating public sector procurement frameworks such as G-Cloud and GCA.

AWS · Amazon Bedrock · Kiro +3

• London
• On-site
• Senior
• Permanent

Builds and scales generative and predictive models of cellular behaviour, implementing and optimising large neural networks and distributed training infrastructure. Acts as a bridge between ML research and production, profiling GPU workloads and optimising inference for use by data scientists and biologists on multi-modal biological data.

PyTorch · CUDA · Triton +1

• 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
• Director · manages people
• Permanent

Lead the platform engineering team owning hybrid on-prem and cloud compute, Kubernetes clusters, MLOps infrastructure and scientific compute environments for machine learning and drug discovery. Set architectural strategy, mature CI/CD and observability, and own platform security and data governance for sensitive patient-derived data, reporting to the VP of Engineering.

Kubernetes · Kubeflow · AWS +4

• Cambridge

Join a global team continuously developing and improving threat detection capabilities across key product areas. You'll respond to customer incidents, analyse cyber threat intelligence, and expand detection schemes aligned to adversary techniques, collaborating with Development, Security Research and SOC teams.

Darktrace · GitLab · Python

• Berlin, Germany
• Mid-level

Integrates state-of-the-art AI and software into complex customer systems, working directly with avionics engineers and partners to understand unfamiliar data structures, APIs and network protocols, then building adapters to connect them to Helsing's cloud infrastructure. Owns delivery end-to-end, from formalising requirements and fixing bugs to shipping features and running technology demonstrations in simulations or on real systems.

Prometheus · Grafana · ELK +2

• London
• Hybrid
• Permanent

Work at the interface between frontier generative models and pharmaceutical/biotech customers, deploying, adapting and fine-tuning models in customer environments. Build production-grade API integrations, model-serving infrastructure and ML data pipelines, while acting as technical point of contact for partners. Combines deep ML research with customer-facing delivery in an interdisciplinary team.

AlphaFold · NeurIPS · ICML +1

• London
• Hybrid
• Mid-level
• Permanent

Customer-facing engineering role deploying frontier generative biology models into pharma and biotech environments, owning the full lifecycle from technical scoping to production delivery. Involves building API integrations, data pipelines and model-serving infrastructure on AWS with Docker and Kubernetes, plus on-site work with international partners.

AWS · GCP · Azure +2

• Bradford
• On-site
• £40,000 – £50,000 pa

Hands-on role spanning the full data lifecycle, from collecting, cleansing and transforming datasets to advanced analysis and predictive modelling. You will build data pipelines, models and analytical frameworks supporting AI and machine learning initiatives, translate business requirements into technical solutions, and present findings to stakeholders while potentially mentoring learners and junior team members.

Python · SQL