Artificial Intelligence Jobs

• London
• Hybrid
• £65,000 – £145,000 pa

Evaluates frontier and open-weight AI models for cybersecurity, autonomy and AI R&D capabilities, building realistic cyber ranges and CTF suites, running pre-deployment testing and validating novel model behaviours. Works alongside engineers and researchers with high autonomy, collaborating with UK government, frontier labs and NCSC.

Cyber Ranges · CTF · Claude

• London
• Hybrid
• £145,000 pa
• Director

Expression of interest for a Research Director role at the AI Security Institute, scoped at Level 7, focused on understanding advanced AI risks and translating that into government action. The position involves shaping public-interest research on frontier AI safety, with pre-release access to frontier models, ample compute, and collaboration with national security, policy and AI research experts.

• United Kingdom
• Remote
• Permanent

Founding full-stack engineer for an ads engine that plans, generates, localizes, launches and learns from ads across major platforms using ElevenLabs' audio and video stack. No PM or handed-down spec: you talk to users, decide what to build, and ship across data pipelines, agent tools and UI, building pragmatically with LLMs, retrieval and evals.

CMS

• United Kingdom
• Remote
• Permanent

Builds the systems behind a managed AI audio production service, owning one of three areas: a human data labelling and evaluation platform, the backend engine running production workflows, or a Rust-based professional editor platform. Work is mostly hands-on building of internal tools and core infrastructure, with scope to lead projects and little hand-holding.

Rust

• Cambridge
• Hybrid · 2 days in office
• Mid-level

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.

Cypress · Playwright · pytest +7

• Austin, United States
• Hybrid
• US$211,197 – US$257,901 pa
• Senior
• Permanent

Founding pre-sales role building Synthesia's North American Solutions Engineering function across Mountain, Central and West regions. Partners with AEs, Customer Success and Product Marketing on discovery, demos, POC scoping and technical solution design, while shaping the playbook, tooling and reusable assets as the team scales.

MEDDPICC · Command of the Message · SOC 2 +1

• Germany
• Hybrid · 2 days in office
• Senior
• Permanent

Founding presales role building Synthesia's Solutions Engineering function across DACH, partnering with Account Executives, Customer Success and Product Marketing on discovery, demos, POCs and technical solution design. You'll shape the playbook, tooling and reusable assets while acting as a trusted advisor on API, SDK, security and compliance topics, feeding field learnings back to Product.

LMS · HCM · CRM +2

• London
• Hybrid
• Senior

Customer-facing, billable engineering role building and productionizing data and AI solutions on the Databricks platform. You own architecture and design decisions, delivering end-to-end systems spanning data engineering, ML/AI model integration and user-facing applications, embedding with client teams and travelling to customers around 20% of the time.

Databricks · AWS · Azure +7

• London
• Hybrid
• £325,000 – £390,000 pa
• Lead

Builds and operates large-scale CI infrastructure supporting thousands of daily builds across multiple cloud providers, including intelligent test selection, merge queue management, and incident response automation. Works within the Developer Productivity org on Kubernetes-based test infrastructure, flake detection, and developer tooling for a monorepo.

Buildkite · Jenkins · GitHub Actions +2

• London
• Hybrid
• £325,000 – £390,000 pa
• Senior

Lead and scope multi-month infrastructure projects, making architectural decisions for large-scale distributed systems that train and serve AI models. Work spans Kubernetes clusters, data pipelines, observability and developer tooling, partnering with research and product teams while owning reliability, scalability and security.

Kubernetes · AWS · GCP +6

• 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
• Senior
• Permanent

Works across Sales, Product and Customer Success to help enterprise customers integrate Luminance's AI platform, building hands-on integrations with systems such as Salesforce, ServiceNow and Slack. Acts as the technical expert supporting Account Executives, managing integration issues and creating reusable toolkits, APIs, SDKs and customer-facing documentation.

Salesforce · ServiceNow · Slack

• London
• Hybrid
• Senior
• Permanent

Owns shared onboard runtime foundations for autonomous vehicles: application frameworks, communication middleware, lifecycle management, health monitoring and observability. Day to day involves C++ development, end-to-end latency and performance profiling across OS scheduling, memory hierarchy and thread synchronisation, plus porting the stack to new operating systems and compute platforms.

NVIDIA Nsight · Lumos · tegrastat +5

• London
• Hybrid
• £70,000 – £90,000 pa
• Senior
• Permanent

Designs and builds modern machine learning and AI services within a collaborative data team, developing and optimising data pipelines across a cloud analytics platform. Works with PySpark, Python, SQL, Databricks or Snowflake on AWS, plus Airflow, Terraform, Docker and Kubernetes, in agile squads supporting ML and GenAI infrastructure.

Databricks · Snowflake · AWS +7

• Stratford-upon-Avon
• Remote
• Mid-level
• Contract

Hands-on product development role building and improving machine learning and AI capabilities for an in-house AI platform, taking ideas from business requirements through experimentation, evaluation and deployment. Focus on producing reliable structured JSON outputs, AI workflows for extraction, classification, retrieval and summarisation, plus evaluation datasets, monitoring and API integration with developers.

AI APIs · Vector Databases · Model Context Protocol +1