Artificial Intelligence Jobs

• London
• Hybrid · 1 day in office
• £75,000 – £90,000 pa
• Senior

Hands-on engineering role building AI-powered Salesforce solutions for enterprise clients, spanning Agentforce, Einstein AI, Apex, LWC, Flow and APIs. Involves prompt engineering, RAG, Data Cloud integration and event-driven architecture, working directly with client teams from design to deployment. Distinct from configuration work, with mentoring of junior engineers and SC clearance required.

Salesforce · Agentforce · Einstein AI +7

• Remote (UK)
• Remote
• Senior
• Permanent

Lead the design, build and deployment of production-grade ML systems for defence clients, covering architecture, scalable infrastructure and MLOps standards. Work cross-functionally with engineers, data scientists and commercial teams, acting as a technical advisor and mentoring junior engineers. Requires on-site work with customers 2-4 days per week and eligibility for UK Security Clearance.

TensorFlow · PyTorch · AWS +5

• United Kingdom
• Remote
• Permanent

Build and maintain front-end and back-end components of a generative AI voice product suite used by millions, shipping end-to-end features with high ownership. Work spans Python, TypeScript/React, APIs, cloud infrastructure and large-scale datasets, collaborating with Engineering, Growth and Sales in lean autonomous teams.

Python · TypeScript · React

• London
• Remote
• £75,000 – £105,000 pa
• Senior

Builds and deploys production LLM and Generative AI applications for enterprise clients, including RAG solutions, scalable data pipelines and AI-powered services. Works in a collaborative consultancy team of engineers and architects, applying software engineering best practices to take AI from proof of concept into production, with monitoring and optimisation of live systems.

Databricks · MLflow · LangChain +5

• London
• Senior

Architect and scale the deep learning frameworks and distributed training infrastructure behind defence AI systems, extending PyTorch-based tooling and optimising GPU throughput. The role spans data strategy, storage and orchestration, working cross-functionally to maximise training efficiency and developer velocity.

PyTorch · JAX · TensorFlow +5

• London
• On-site
• Senior
• Permanent

This role involves embedding with investment, client, and support teams to understand their workflows and build AI-powered solutions that deliver tangible value. Responsibilities include scoping, prototyping, validating, and deploying AI solutions, as well as training and enabling teams to use AI effectively and responsibly.

• Bucharest, Romania
• Remote
• Senior
• Permanent

Owns major components of the Windows kernel-mode endpoint sensor, architecting and building anti-virus and EDR features that cut across file system, memory, process and networking subsystems. Leads projects end to end, from design through unit and component testing, while mentoring and collaborating with a distributed, cross-platform team.

Windows · Mac · Linux +2

• Reading
• Remote
• Senior
• Permanent

Owns major components of the Falcon endpoint sensor, a Windows kernel-mode driver that observes system activity, prevents malicious behaviour and streams telemetry to the cloud. Work spans architecture, design and delivery across file system, memory, process and networking subsystems, with shared components across Windows, Mac and Linux. Involves leading projects, mentoring and collaborating in a distributed team.

Windows · Mac · Linux +1

• 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

• London
• Hybrid · 3 days in office
• £75,000 – £85,000 pa
• Lead · manages people
• Permanent

Lead a team of AI developers while remaining hands-on, building enterprise-grade Generative and Agentic AI applications for a financial services client. Work spans Python and Java services, FastAPI APIs, LLM integrations, RAG architectures and agent-based workflows on AWS Bedrock, AgentCore and EKS, plus CI/CD and DevOps. Also involves setting engineering standards and mentoring within a consultancy team.

AWS · Bedrock · AgentCore +7

• 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 measuring value. Based in Manhattan with hybrid remote flexibility.

• London

Embedded within an investment team, spending most of the week building AI-driven tools, agentic LLM applications and Python data analytics systems that support investment research and decision-making. Works directly with analysts and researchers to automate research workflows and monitor markets, news and macroeconomic data. Distinct for its heavy investment-floor exposure and a track record of moving people into investment analyst roles.

Python

• London
• Hybrid · 3 days in office
• £65,000 – £75,000 pa
• Senior
• Permanent

Hands-on full-stack role building brand-new AI-powered products from concept to production within a small, senior engineering team. You'll architect scalable solutions, develop PoCs, prototypes and MVPs, build React UIs and Node.js/Express/Python APIs on Azure, and use AI-assisted development tools to accelerate delivery.

React · Node.js · Express.js +7

• London
• Hybrid
• Senior
• Permanent

Owns the end-to-end release cycle for autonomous-driving AI models, coordinating ML engineering, evaluation, data science, platform, testing and product teams. Defines release gates and promotion criteria from training through validation to fleet deployment, drives regression investigations and rollback decisions, and builds tooling and KPIs to remove bottlenecks in a non-deterministic ML environment.

GitHub · Buildkite · CLI