Artificial Intelligence Jobs

• London

Embed with strategic enterprise customers to design, architect and productionise custom fullstack data and AI applications on the Databricks platform. Work spans data engineering, ML/AI model integration, backend, frontend and stakeholder engagement, with accelerators fed back into the product roadmap. Requires up to 50% travel to client sites.

Databricks · OpenAI · Anthropic +7

• London
• Hybrid
• £225,000 – £255,000 pa
• Senior

Embed directly with strategic enterprise customers to build production applications on Claude models, delivering artifacts like MCP servers, sub-agents and agent skills. Combines hands-on engineering with customer-facing discovery, codifying repeatable deployment patterns and feeding insights back to Product and Engineering. Founding FDE role with frequent travel (25-50%) to customer sites.

Claude · MCP

• London
• Mid-level

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.

Databricks · Apache Spark · AWS +4

• London
• Hybrid · 3 days in office
• Senior
• Permanent

Lead end-to-end deployments of frontier models for strategic customers, owning discovery, scoping, system design, build and production rollout. Build full-stack systems in Python or JavaScript, embed with customer teams and feed field insights back to Research and Product. Requires Spanish fluency and up to 50% travel.

LLMs · Generative Models

• London
• Hybrid · 3 days in office
• Senior
• Permanent

Lead complex end-to-end deployments of frontier models for strategic customers, owning discovery, scoping, system design, build and production rollout. Build full-stack systems in Python or JavaScript, embed with customer teams, and feed field insights back into product and model roadmaps. Hybrid London role with up to 50% travel.

LLMs · Generative Models

• London
• Remote
• Mid-level
• Permanent

Embedded with strategic customers, you design tailored technical architectures, build full-scale integrations and take end-to-end ownership of high-impact projects. Working daily with customer engineers and executives, you use Python and API integration skills to solve complex problems. Remote-first across the UK, with a London office option and regular customer travel.

ElevenLabs

• London
• Senior

Builds full-stack AI applications directly alongside public sector clients, scoping requirements, gathering feedback and shipping production-grade systems. Work spans React and TypeScript front ends, Python/Node backends, and cloud infrastructure on AWS, Azure or GCP, with a focus on reusable platform features and deploying into customer environments.

React · TypeScript · Next.js +7

• London
• Senior

Forward-deployed full-stack engineer who partners directly with public sector clients to turn ambiguous mission requirements into production-grade AI applications. Leads architecture across React, Node.js, Python, Kubernetes and global cloud infrastructure, mentoring staff and shaping reusable platform patterns. Founding-member role on Scale's Global Public Sector team.

Python · Node.js · React +4

• London
• Hybrid
• £255,000 – £325,000 pa
• Director · manages people

Founding leader for Anthropic's Forward Deployed Engineering practice, hiring and developing a team of engineers who embed with strategic enterprise customers to ship production AI applications. Player-coach role setting technical and operational standards, building repeatable playbooks, and partnering with Sales, Product and Engineering. Requires travel to customer sites 25-50%.

Claude

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

Builds and deploys customer-facing applications that put physics AI models into production, working directly with customers, data scientists and ML engineers. Involves Python/FastAPI microservices, cloud deployment with Kubernetes, Terraform and AWS/Azure, plus travel to customer sites 3-4 weeks per quarter.

FastAPI · Helm · Kubernetes +3

• Singapore
• Mid-level

Build and deploy applications that put physics AI models into customers' hands, working directly with customers, data scientists and ML engineers. The role spans the full stack: FastAPI microservices in Python, cloud deployment with Kubernetes, Helm, Terraform and AWS/Azure, plus rapid prototyping. Expect travel to customer sites in Asia, North America and Europe for 3-4 weeks per quarter.

FastAPI · Helm · Kubernetes +3

• United Kingdom
• Remote
• Permanent

Builds agents that run real parts of the business, working in Marketing Engineering and forward-deployed to growth pods to find problems and own solutions end to end. Uses Python, SQL, LLM APIs and agent orchestration, with a focus on making agents reliable, measurable and safe enough for the business to depend on.

LLM APIs

• Berlin, Germany
• Mid-level

Integrates state-of-the-art AI and software into complex customer systems, working directly with avionics engineers and partners to understand unfamiliar data structures, APIs and network protocols, then building adapters to connect them to Helsing's cloud infrastructure. Owns delivery end-to-end, from formalising requirements and fixing bugs to shipping features and running technology demonstrations in simulations or on real systems.

Prometheus · Grafana · ELK +2

• London
• Hybrid · 3 days in office
• Senior
• Permanent

Builds and operates production ML systems for document classification and extraction, using LLMs/VLMs and traditional ML to process government identity documents at scale. Owns features from RFC through deployment, optimising GPU inference and training/evaluation pipelines, and mentors engineers within a squad-based team.

AWS · Kubernetes · TensorFlow +4

• Lisbon, Portugal
• Hybrid · 3 days in office
• Senior
• Permanent

Builds and operates production ML systems for document classification and extraction, using VLM/LLMs and traditional ML to power identity verification for millions of users. Leads technical design from RFC to deployment, optimises GPU inference, and designs training, evaluation and labelling pipelines. Works in a squad-based team alongside Applied Science, Product and Data Science, mentoring engineers and driving reliability and scalability.

TensorFlow · PyTorch · Triton +2