Artificial Intelligence Jobs

Aveni · United Kingdom

Builds and scales products on top of FinLLM and other LLMs, engineering event-driven microservices, APIs, cloud-native AWS systems and React front-ends that bring AI into real financial workflows. Works closely with product and PhD-level AI specialists, using Node.js, TypeScript, NestJS and AI coding assistants in a remote-first team.

Aveni · United Kingdom

Hands-on technical leadership of the core platform services underpinning an AI product for regulated financial services, spanning client-data ingestion, CRM integrations and APIs, multi-tenancy, identity and data lifecycle. Leads roughly six to seven engineers while remaining close to production code, primarily Node.js on AWS with event-driven, distributed systems.

Scale AI · London

Builds and deploys end-to-end AI applications for public sector clients, from custom datasets and evaluation pipelines to fine-tuned and agentic models in production. Works closely with client stakeholders, data annotation specialists and cross-functional teams, with occasional travel of about two weeks per quarter.

NVIDIA · United Kingdom

Serve as a trusted technical advisor to software solution providers, developers and startups across EMEA, driving adoption of NVIDIA's AI and computing platforms. The role involves accelerating workloads, advising on enablement resources, mapping the developer ecosystem and feeding field insights back to product and engineering teams. It blends deep technical work with commercial go-to-market and partner engagement.

NVIDIA · Switzerland

Serve as a trusted technical advisor for the healthcare and life sciences developer ecosystem, helping partners integrate NVIDIA's AI and computing stack into their products and pipelines. Work spans agentic AI, clinical documentation, trial matching and cross-specialty orchestration, with responsibility for mapping the European ecosystem and feeding field insights back to product and engineering teams.

Darktrace · Cambridge

Contributes to security research projects spanning rapid prototyping and open-ended initiatives, with a focus on generative AI security and attacker tradecraft. Investigates threats such as prompt injection, poisoning and extraction attacks, and provides feedback to product, development and machine learning teams. Hybrid role requiring two days a week in the London or Cambridge office.

Darktrace · London

Contributes to projects spanning rapid prototyping and open-ended research into generative AI security, investigating attacker tradecraft such as prompt injection, poisoning and extraction attacks. Acts as a domain expert feeding insights back to product, development and machine learning teams, with coverage in network, endpoint, cloud or Kubernetes.

Palo Alto Networks · London

Lead strategic advisor for enterprise customers modernising their Security Operations Centres through XSIAM deployment, from initial strategy to full operationalisation. Drives multi-national SOC transformation programmes, designing log ingestion strategies, detection and correlation rules, and automation to improve MTTD/MTTR. Also mentors professional services teams and partners with Product and R&D on roadmap priorities.

EMBS Engineering · London · £75,000 – £85,000 pa

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.

Harnham - Data and Analytics Recruitment · Nottingham · £60,000 – £80,000 pa

Build and scale an AI-powered enterprise platform, owning end-to-end product development across React, TypeScript, Python, AWS and PostgreSQL. Work spans secure authentication, third-party integrations, event-driven services and collaboration with AI specialists, within a senior, high-accountability engineering team.

Amazon · London

Serves as a trusted AI advisor to C-suite executives at EMEA's largest enterprise brands, owning go-to-market and business development strategies to drive adoption of Amazon Connect's agentic AI applications. Involves orchestrating cross-functional teams across sales, product, and marketing, and using customer insight to influence product roadmaps.

eFinancialCareers · London

Design and build AI-powered tools, automations and integrations using Python, PowerShell and APIs, exploring Agentic AI and LLM use cases across internal business functions. Advise on embedding AI into enterprise architecture within a regulated investment management environment, working with engineering, product and business teams. Distinct for its focus on engineering productivity and architecture strategy rather than traditional ML modelling.

eFinancialCareers · London

Hands-on engineering lead building AI-powered products and scalable developer platforms, staying close to code through architecture, system design and reviews. Sets technical direction across full-stack ecosystems (frontend, backend, APIs, cloud) and drives adoption of Generative AI, DevSecOps and platform engineering. Mentors engineering managers and principal engineers across multiple teams.

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

Builds and deploys customer-facing applications on top of physics AI models, working directly with clients, data scientists and ML engineers. Involves full-stack work: FastAPI REST APIs and Python microservices, plus cloud deployment with Helm, Kubernetes, Terraform and AWS/Azure. Expect on-site travel to customer sites for 3-4 weeks per quarter.

Humanoid · London

Hands-on engineering lead owning the path from AI agent task to healthy deployed change, building secure reproducible agent runtimes, verification tooling, and developer interfaces. Recruits and leads a new developer productivity team while working across Developer Tools, Security, Simulation, and robot software to cut cost and review time per accepted change.