Artificial Intelligence Jobs

• London
• Hybrid
• Mid-level
• Permanent

Deliver bespoke, production-grade machine learning systems for government and national security clients, spanning the full ML lifecycle from architecture to deployment. Work with Python, Scikit-learn, TensorFlow or PyTorch, plus cloud platforms and Docker/Kubernetes, while advising stakeholders and setting deployment standards.

Scikit-learn · TensorFlow · PyTorch +5

• London
• Hybrid
• Mid-level
• Permanent

Builds and enhances scoring and detection tooling on Quantexa's Decision Intelligence platform, turning complex interconnected data into insights for financial crime detection. Works across the stack with agentic AI tooling, taking features from concept to release alongside product teams and senior engineers.

Scala · Java · Spark +7

• United States
• Hybrid · 3 days in office
• US$200,000 – US$225,000 pa
• Mid-level

Build and own core platform capabilities including application infrastructure, APIs and shared services, developing full stack applications in Python, React and TypeScript. Surface machine learning and predictive analytics insights through intuitive interfaces and integrate AI/LLM workflows into production, working in a small innovation team with significant architectural ownership.

Python · React · TypeScript +1

• Witney
• Hybrid · 3 days in office
• £45,000 – £65,000 pa
• Mid-level

Design and develop safety-critical embedded software for autonomous systems, building runtime assurance and fail-safe architectures using SPARK Ada and high-integrity processes. Work spans verification, validation and certification activities for DAL-A/DAL-B software across aerospace and land autonomy platforms, scaling prototype capability to enterprise deployment.

ROS · ROS2 · MAVLINK +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
• Hybrid
• £255,000 – £325,000 pa
• Senior

Product engineer building internal tools and platforms at the intersection of engineering, product, and design. You'll design, prototype, and ship full-stack features in Python, TypeScript, and React, working directly with users to spot patterns and build reusable primitives rather than one-off features.

Python · TypeScript · React

• London
• Hybrid
• Permanent

Builds full-stack geospatial services in Python and TypeScript, turning global road-network and navigation data into products for an autonomous driving platform. Owns data pipelines with PySpark and Databricks, route-planning applications, and map data preparation for training and simulation, deploying services on Azure and Kubernetes end to end.

Databricks · Mapbox · TomTom +7

• London
• Hybrid
• Mid-level
• Permanent

Design, build and operate core components of the Auto-review and Guardian platform, evaluating agent actions in real time to detect harmful behaviour and support safe recovery or escalation. Work spans architecture, implementation, evaluation and operations, partnering closely with alignment researchers, product, security and infrastructure teams to make agent safety a foundational capability.

OpenAI

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

Builds internal tools and data pipelines for lawful data access request workflows and Legal Operations, covering intake, scoping, authorized retrieval, review and audit. Involves backend services, sensitive-data handling, least-privilege access, audit trails and responsible automation, working closely with Legal, Privacy and Security stakeholders.

• London
• Entry level

New grad engineers own customer-facing work from day one, shipping products, speaking directly with customers and iterating quickly. The Global Public Sector team builds custom AI applications, training data pipelines for national LLMs, evaluation infrastructure, agentic AI tooling and fraud-detection systems, working in Python, TypeScript, React and MongoDB.

Python · TypeScript · React +3

• London
• Hybrid
• Permanent

Builds reusable Python libraries and platform tooling for multimodal data loading, distributed training, inference, checkpointing and observability, supporting ML teams running models across thousands of GPUs. Partners closely with researchers to turn complex workflows into stable, scalable software, leading projects from discovery to delivery. A software and platform engineering role rather than ML modelling.

PyTorch · TensorFlow · Azure +3

• 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

• Cambridge
• Hybrid · 2 days in office
• Mid-level

You will prototype and develop new ideas to improve Darktrace's cybersecurity services, balancing creativity with time constraints while collaborating with a cross-functional team of engineers, designers and strategists. Work spans rapid prototyping and structured platform development, with a primary focus on TypeScript alongside Docker and cloud environments.

Docker

• Cambridge
• Hybrid · 2 days in office
• Mid-level

Partners with developers and product teams to embed quality from the start, designing and maintaining automated test frameworks across API, UI, integration and regression layers. Builds scalable suites into CI/CD pipelines, drives shift-left testing, and contributes to test strategy, code reviews and architecture discussions.

Cypress · Playwright · pytest +7

• Salford
• Hybrid
• Mid-level

Builds production-grade generative AI solutions using Python, OpenAI and Anthropic LLMs, REST APIs and agentic technologies within a cross-functional engineering team. Offers freedom to experiment with emerging AI tooling such as Amazon Bedrock and LiteLLM, taking applications from proof of concept through to production.

OpenAI · Anthropic · GitHub Copilot +5