Artificial Intelligence Jobs

Scale AI · London

Builds and scales backend systems and APIs that bring large-scale generative AI products to production for enterprise customers. Work spans distributed data systems, model serving, deployment pipelines, and cloud infrastructure across AWS, Azure, or GCP, in close collaboration with ML and product teams. The role centres on reliability, latency, throughput and cost optimisation in hybrid and multi-cloud environments.

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.

ElevenLabs · London

Builds and operates the platform every product team ships on, running and scaling Kubernetes clusters including GPU clusters for inference and training across cloud and on-prem. Sets up compute, networking, permissions and access, hosts data systems, and builds tooling and automations to make infrastructure self-serve, working hands-on with research, product, security and safety engineers.

ElevenLabs · United Kingdom

Owns the data infrastructure behind frontier AI models, building large-scale pipelines for collecting, filtering and transforming training datasets. Also trains classifiers, quality filters and labeling models, and designs curation strategies like deduplication and quality scoring. Builds tooling so researchers can explore and train on massive datasets quickly.

Synthesia · Germany

Founding pre-sales role building Synthesia's Solutions Engineering function for the DACH region, shaping the playbook, tooling and best practices as the team scales. Partners with Account Executives, Customer Success and Product Marketing on discovery, demos, POCs and technical solution design, covering API/SDK integrations, security and compliance topics such as SOC 2 and GDPR.

Multiverse · London

Hunt and close new enterprise business across strategic UK accounts, engaging C-level to C-2 leaders and positioning an AI and tech upskilling solution. Use the MEDDIC methodology and partner with Business Value Consultants to build ROI assessments that prove value and close strategic deals. Also expand existing accounts and build a personal strategic book.

Multiverse · London

Lead and grow a team of up to seven Enterprise Account Executives, staying hands-on by joining customer meetings, running deal reviews, prep calls and QBRs. Partner with Customer Success, Business Value Consultants, Marketing and Product to deliver enterprise B2B solutions, reporting to an Area Vice President while carrying a significant UK book of business.

PhysicsX · New York, United States · US$240,000 – US$300,000 pa

Leads regional deployment engineering for a physics AI platform, owning end-to-end success of customer-owned infrastructure deployments. Acts as primary technical contact for CIOs and CTOs, overseeing Kubernetes-based platform rollouts, security reviews, and version upgrades while hiring and growing a team of deployment engineers.

PhysicsX · Singapore

Customer-facing role owning the full customer journey, from onboarding and change management to roadmap planning and contract preparation. Works alongside simulation, software, ML engineers and data scientists to translate industry challenges into product opportunities, tracking engagement and measuring value. Based in Singapore, bridging advanced AI capabilities and practical engineering applications.

Salt Search · London · £70,000 – £100,000 pa

Build and scale a cloud-native AI platform for real-time video security, working across Go and Python backend services and React/TypeScript frontends. You'll design APIs and distributed systems handling real-time video and sensor data, collaborating closely with product and ML engineers and owning features from design to production.

Faculty · London

Builds client-facing products that visualise insights from data scientists, working in cross-functional delivery teams within the National Security and AI Safety unit. Owns frontend standards and reusable component libraries across the company, sets up deployment infrastructure, and mentors other engineers. Requires React, TypeScript, ES6, HTML/CSS3 and data visualisation such as d3, with cloud exposure to AWS, GCP or Azure.

Luminance · London

Entry-level role supporting prospective and existing customers through Proof of Value trials, acting as a product expert alongside Account Executives to convert prospects. Involves designing custom workflows for live legal cases and coordinating with Support and Technical teams to resolve issues and ensure successful AI adoption.

Luminance · Cambridge

Sits between product, AI teams and customers, using a legal background to shape product innovation for a legal-grade AI platform. Works with blue-chip clients to ensure they get maximum value from the technology and acts as a strategic partner to leadership. A rare bridge role for lawyers moving into a tech career.

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.

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.