Artificial Intelligence Jobs

• United Kingdom
• Remote
• Senior
• Contract · Flexible

Fellows design complex, domain-specific problems and datasets to rigorously evaluate generative AI models, then provide expert interpretation to improve their accuracy and reasoning. They collaborate with partner AI labs and Scale's research team, potentially co-authoring technical reports and benchmarks. Work is project-based within an interdisciplinary network of academics, with flexible 10–40 hour weeks.

Generative AI

• United Kingdom
• Remote
• Senior
• Contract · Flexible

Fellows design domain-specific problems and datasets to evaluate generative AI models, then provide expert insight to improve their accuracy and reasoning. Work is project-based with partnered AI labs, including co-authoring technical reports and research papers with Scale's research team. Fully remote, flexible 10-40 hour weeks within an interdisciplinary network.

Generative AI

• United Kingdom
• Remote
• Permanent

Backend-leaning full-stack role building and expanding Creative Agents that turn ideas into audio, image and video. You'll own production agent systems end to end, covering prompts, tool use, orchestration, MCP integrations, asynchronous generation pipelines, observability and shared evaluations, working in a small autonomous team on a live product.

MCP

• United Kingdom
• Remote
• Mid-level
• Permanent

Join the research team at an AI audio company, training state-of-the-art models across modalities and pushing existing models further through post-training, data curation and architectural improvements. You'll also design rigorous benchmarks and evaluations to determine whether new model iterations are genuinely better, working in lean autonomous teams with minimal bureaucracy.

GitHub

• Germany
• Hybrid
• Permanent

Land and expand enterprise logos of 1,000–20,000 employees across the DACH region, driving ARR through direct and teamed prospecting, product demos and accurate quarterly forecasting. Works closely with Customer Success on adoption, retention and expansion, using value-driven methodologies such as MEDDPICC. Requires native-level German and a track record selling to DACH enterprises.

AI Video

• London
• Remote
• Lead
• Permanent

Hands-on principal IC role owning the ML platform that lets researchers and product teams train, serve and deploy generative models. Work spans research infrastructure, production serving, internal tooling and agent-oriented automation, with a focus on reliability, scalability and GPU/cloud resource efficiency. Distinct for its systems-generalist framing rather than pure ML engineering.

Kubernetes · Terraform · Datadog +4

• New York, United States
• Hybrid
• US$90,000 – US$130,000 pa
• Mid-level

Customer-facing role owning the full customer journey for physics AI solutions, from onboarding and change management to roadmap planning and contract preparation. Works alongside simulation, software, ML engineers and data scientists, running account rhythms, tracking adoption and building AI-enabled tooling for account operations.

• New York, United States
• Hybrid
• US$150,000 – US$250,000 pa
• Lead

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 engineering and physics challenges into product opportunities, tracking engagement and growing strategic accounts.

• London
• Hybrid
• Lead
• Permanent

Drives technical strategy, architecture and deployment of secure AI systems across high-stakes domains, bridging AI research and production. Leads capability testing for Frontier AI models, builds scalable ML infrastructure and multi-agent tooling, and advises senior client stakeholders while mentoring engineers.

AWS · Azure · GCP +4

• Sydney, Australia
• Hybrid
• Senior
• Permanent

Lead the design, build and deployment of production-grade ML systems for a range of clients, covering architecture, scalable infrastructure and engineering standards. Work across the full ML lifecycle with TensorFlow or PyTorch, cloud platforms and Docker/Kubernetes, while advising customers and mentoring junior engineers.

TensorFlow · PyTorch · AWS +5

• London
• Senior
• Permanent

You will act as a trusted technical advisor to AWS customers in the Betting & Gaming industry, leading architecture reviews, white-boarding sessions, demos and workshops while managing the overall technical relationship. The role blends business acumen with hands-on guidance across AI, serverless, containers, analytics and DevOps, and involves feeding customer needs back into AWS product roadmaps.

AWS

• London
• Hybrid
• Entry level
• Permanent

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
• Hybrid
• Mid-level
• Permanent

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.

• Sheffield
• Hybrid
• £49,798 – £59,390 pa
• Mid-level
• Permanent

Join the AI × Software Engineering & Testing research group, one of the UK's largest clusters for software quality and automated verification. You will establish an independent research programme, secure funding, design and deliver AI and software engineering modules, and supervise student projects for external clients.

Robotics

• London
• Hybrid
• Permanent

Builds and optimizes the large-scale compute platform behind frontier AI, spanning bare-metal automation, Kubernetes scheduling, high-performance networking, storage, and fleet health. Engineers work across the stack, profiling training workloads, improving NCCL and collective communication, and creating tooling that makes heterogeneous clusters reliable and usable.

Kubernetes · NCCL · RDMA +3