Artificial Intelligence Jobs

NVIDIA · Bristol

Internship on NVIDIA's embedded computing team in Bristol, working with Tegra SoC, DGX Spark and the Jetson Embedded Platform. The role involves building Linux kernel and user-space software, improving the Jetson Developer Kit experience, and accelerating deep learning and neural network technologies for autonomous vehicles, robotics and analytics alongside hardware and software engineers.

Entrust · Portugal - Field

Owns test planning, coordination and execution within a cross-functional Identity Verification product team, covering web, mobile, backend and ML-powered verification journeys. Builds maintainable automated test frameworks and suites, mentors colleagues, and leads quality initiatives across engineering teams. Combines automation with exploratory testing and works with TypeScript, Ruby, Python, Playwright, Cypress, Selenium and CI/CD pipelines.

Entrust · United Kingdom - Field (Onfido)

Owns test planning, coordination and execution within a cross-functional identity verification product team, covering web, mobile, backend and ML-powered journeys. Builds maintainable automated test frameworks, blends automation with exploratory testing, and mentors colleagues while improving CI/CD pipelines and release feedback loops.

NVIDIA · Bristol

Research and develop techniques to GPU-accelerate leading high performance computing applications across scientific computing, computational engineering and data science. The intern performs in-depth analysis and optimisation for current and next-generation GPU architectures, working with application developers and collaborating with architecture, research, libraries, tools and system software teams.

Wayve · London

Owns shared onboard runtime foundations for autonomous vehicles: application frameworks, communication middleware, lifecycle management, health monitoring and observability. Day to day involves C++ development, end-to-end latency and performance profiling across OS scheduling, memory hierarchy and thread synchronisation, plus porting the stack to new operating systems and compute platforms.

AI Security Institute · London

Senior individual contributor building and owning shared platform, tooling and infrastructure for a research team, including LLM-based agent systems, evaluation frameworks and supporting infrastructure. Works closely with interdisciplinary researchers to translate varied needs into maintainable Python systems, with strong engineering discipline around testing, documentation and observability. Also contributes to architectural decisions, engineering standards and mentoring through code review and knowledge sharing.

Synthesia · Seattle, United States

First Developer Advocate for an AI video platform's API, responsible for writing tutorials and blog posts, building sample apps and starter kits, and producing video walkthroughs and livestreams. Represents the company at conferences, meetups and hackathons while channelling developer feedback back to Product and Engineering, and growing community channels like Discord and a developer newsletter.

EMBS Engineering · London · £75,000 – £85,000 pa

Lead a team of AI developers while remaining hands-on, building enterprise-grade Generative and Agentic AI applications for a financial services client. Work spans Python and Java services, FastAPI APIs, LLM integrations, RAG architectures and agent-based workflows on AWS Bedrock, AgentCore and EKS, plus CI/CD and DevOps. Also involves setting engineering standards and mentoring within a consultancy team.

eFinancialCareers · London

Lead end-to-end delivery of high-performance Java applications for real-time FX risk management across global markets, architecting low-latency, scalable systems. Works closely with quants, traders and business stakeholders, and uses Citi's internal GenAI ecosystem (GitHub Copilot, Devin.AI, Stylus Workspaces) daily. An individual contributor role with no direct reports, including L3 production support and weekly releases.

Humanoid · London

Hands-on engineering lead owning the path from AI agent task to healthy deployed change, building secure reproducible agent runtimes, verification tooling, and developer interfaces. Recruits and leads a new developer productivity team while working across Developer Tools, Security, Simulation, and robot software to cut cost and review time per accepted change.

PhysicsX · London

Owns and evolves an HPC environment for CPU/GPU-heavy physics simulations, covering cluster administration, job scheduling (Slurm/PBS/LSF), performance tuning and capacity planning. Acts as escalation point across HPC, developer tooling and general IT support, mentors junior engineers, and drives automation-first, zero-trust infrastructure in a scale-up.

eFinancialCareers · Belfast

Hands-on engineering lead building AI-powered products and enterprise-scale applications, staying close to code through architecture, system design and code reviews. Sets technical direction across full-stack ecosystems (frontend, backend, APIs, cloud) using Python, Go, TypeScript, JavaScript or React, Kubernetes and microservices, while mentoring engineers and driving GenAI adoption.

Anthropic · London · £190,000 – £230,000 pa

Lead and grow a distributed EMEA team of Applied AI Architects, setting pre-sales standards and acting as technical lead on strategic digital-native accounts. The role involves use case scoping, POCs, demos, and guiding customers through GDPR, EU AI Act, and data residency requirements while partnering with Sales, Product, and Engineering.

Databricks · London

Customer-facing, billable engineering role owning architecture and design decisions while building production-grade data and AI systems on the Databricks platform. Involves embedding with client teams, integrating with their systems, and delivering end-to-end pipelines, ML/AI models and user-facing applications, with around 20% travel to customer sites.

Databricks · London

Customer-facing role building and productionising data and AI solutions on the Databricks platform, owning architecture and design decisions for end-to-end systems spanning data engineering, ML/AI and application development. Embeds with client teams from engineers to executives, delivering production-grade reference architectures and reusable accelerators, with around 20% travel.