Artificial Intelligence Jobs

NVIDIA · Bristol

Research and develop techniques to GPU-accelerate deep learning, machine learning and other AI workloads, working with technical experts from industry and academia to analyse and optimise complex AI and HPC algorithms on modern CPU and GPU architectures. The intern also publishes optimisation techniques via developer blogs or conferences and helps influence next-generation hardware, software and programming models.

NVIDIA · Zürich, Switzerland

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 directly with application developers and collaborating with architecture, research, libraries, tools and system software teams.

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.

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.

Databricks · London

Customer-facing engineering role building and productionizing data and AI solutions on the Databricks platform for emerging enterprise and digital native accounts. You own architecture and design decisions, implement end-to-end systems spanning data engineering, ML/AI and application development, and embed with client teams. Billable delivery work with roughly 20% travel.

OpenAI · London

You'll partner with early-stage startups to embed Codex into their software workflows, building integrations, automations and reusable tools while troubleshooting technical blockers. A large part of the role is outward-facing: leading technical talks, live demos, workshops and hackathons, then feeding developer insights back to OpenAI's product and research teams.

CrowdStrike · Reading · £140,000 – £215,000 pa

Lead a growing team of engineers building self-service infrastructure-as-code primitives, high-availability platforms and cloud cost optimisation across a multi-cloud environment. The role combines people management, on-call ownership and hands-on architecture of large-scale distributed systems, with hybrid working near Reading.

CrowdStrike · Boston, United States · US$140,000 – US$215,000 pa

Lead a team building self-service infrastructure-as-code primitives, high-availability services and cloud cost optimization across a multi-cloud environment. The role combines people management with hands-on architecture of large-scale distributed systems, using tools like Terraform, Pulumi, Chef and Python or Go, with a strong SRE and GitOps focus.

Wayve · London

You'll design, build and operate shared infrastructure for model access, agent runtimes and observability, taking projects from problem definition through technical design, deployment and ongoing operation. Working with security, IT and engineering teams, you'll create governed access layers, reusable tooling and standards so teams can run AI agents in production without one-off infrastructure.

Wayve · London

Lead a newly dedicated Runtime Platform team building the application frameworks, middleware, IPC, performance and observability foundations that let Wayve's onboard AI Driver run in real time. The role is people-first, combining coaching, hiring and roadmap ownership with technical direction across latency, profiling, real-time scheduling and embedded Linux, partnering with vehicle software, hardware and OEM programme teams.

Profile 29 · London · £40,000 – £50,000 pa

Supports founders, developers and customer success on a fundraising SaaS platform, splitting time between customer conversations, writing product requirements, testing features and researching AI applications. Runs sprint planning, monitors feedback and performance, and helps shape 3- and 12-month roadmaps while balancing technical debt against new features.

King's College London · London · £45,031 – £52,514 pa

Designs, builds and evaluates AI-enabled evidence synthesis tools and pipelines for the METIUS programme, writing production-quality Python code and onboarding consortium partners. Runs methodological and evaluation studies on the reliability and usability of AI-assisted synthesis methods, publishing the results, and contributes to the Solace-AI project on climate-health emergencies. Works alongside software developers, data scientists and evidence synthesis specialists.

Scale AI · London

Leads a forward-deployed engineering team acting as the technical bridge between AI capabilities and strategic enterprise customers. Involves designing custom integrations, ETL pipelines and production AI agents, plus prompt engineering, RAG systems and evaluation frameworks, deployed within customer security and compliance boundaries.

Faculty · London

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.