Artificial Intelligence Jobs

University of Exeter · Exeter · £21,805 pa

Develop next-generation machine learning models to predict genetic interactions from large-scale perturb-seq data, evaluating graph neural networks and autoencoders for genome-wide scalability. The purely computational project feeds a lab-in-the-loop cycle with pancreatic cancer screens from the AstraZeneca and Cancer Research Horizons Functional Genomics Centre, with results released as open-source software.

OpenAI · London

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.

Akkodis · London · £700 – £800 pd

Lead delivery of innovation initiatives from discovery through PoC, MVP and production release, coordinating cross-functional teams across Product, Engineering, Design, Data and AI. Apply Agile, Lean and iterative practices to manage risks, dependencies, budgets and milestones, working with internal technology teams and external partners to commercialise emerging technology and AI-enabled products.

ElevenLabs · United Kingdom

Owns large-scale distributed web crawling systems that discover, fetch and extract data from billions of pages to feed frontier AI models. Work spans content extraction from messy HTML, web-scale deduplication, recrawl and freshness strategies, politeness and rate limiting, plus tooling for researchers to request and explore crawled data.

Darktrace · Cambridge

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.

The University of Manchester · Manchester · £21,805 pa

A 3.5-year PhD developing an AI-enabled digital twin framework to support circular retrofit decision-making in ageing public buildings such as schools and healthcare facilities. The research integrates building condition data, asset records, material inventories and lifecycle information to evaluate component condition, estimate remaining service potential and prioritise reuse over replacement, validated through public-building case studies.

Scale AI · United Kingdom

Legal experts evaluate and stress-test generative AI outputs across compliance, litigation, case law and contract analysis, designing complex real-world scenarios and giving targeted feedback to improve model accuracy and regulatory alignment. Fellows also collaborate with Scale's research team on technical reports and benchmarks, working flexibly within an interdisciplinary network of academics and domain specialists.

Scale AI · United Kingdom

Medical experts design complex clinical scenarios, evaluate generative AI model decision-making for safety and accuracy, and shape reasoning frameworks through structured feedback. Fellows collaborate with AI labs and Scale's research team, potentially co-authoring technical reports and benchmarks, within an interdisciplinary network. Work is project-based and flexible, with hours set by the fellow.

Helsing · Barcelona, Spain

PhD research internship tackling open problems in spatial perception and localisation within the Spatial Intelligence Team. You survey and prototype state-of-the-art methods for scene matching, SLAM/VIO and 3D reconstruction, benchmarking ideas against real-world data and compute constraints, and report findings to a Europe-distributed team.

eFinancialCareers · London

Manager role in Macquarie's global Internal Audit function, delivering technology-led and business-integrated audits across Commodities and Global Markets, Macquarie Capital and Macquarie Asset Management. Owns audit planning, execution quality, issue development and reporting, using data analytics and AI to assess risks and controls, while coordinating teams, reviewing junior colleagues' work and engaging senior stakeholders.

OpenAI · London

Lead and grow a London-based engineering team building real-time safety and oversight systems for AI agents, including the Auto-review permission-boundary model. The role blends hands-on technical work—shaping architecture, reviewing designs, debugging, and coding—with hiring, coaching, and setting the operating cadence. It is highly cross-functional, partnering with alignment researchers, product, security, and infrastructure teams.

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.

OpenAI · London

Design and build distributed failure detection, tracing, and profiling systems for large-scale AI training workloads, identifying slow or faulty nodes and surfacing performance bottlenecks. Work deep in the stack across collective communication, parallelism, fault tolerance, and observability, collaborating with systems, infrastructure, and research teams to evolve the training platform.

OpenAI · London

Builds and scales the infrastructure that trains and deploys AI agents, spanning a novel in-house container orchestration platform, FastAPI and gRPC APIs, and Terraform-managed cloud systems. Works closely with researchers on large-scale training runs and with product teams launching agentic products to hundreds of millions of users.

OpenAI · London

Builds and operates the platform that deploys, configures and manages models across ChatGPT, spanning deployment orchestration, rollouts, operational automation and capacity management. Works with research, infrastructure and product teams to turn complex operational processes into reusable, scalable platform capabilities, with a focus on reliability, observability and developer experience.