Artificial Intelligence Jobs

Faculty · London

Lead the design, build and deployment of production-grade machine learning systems for clients across pharma, healthcare and other sectors. Work spans architectural decisions, scalable infrastructure, MLOps standards and mentoring junior engineers, with a strong client-facing advisory element. Requires deep Python, TensorFlow or PyTorch, and cloud plus Docker/Kubernetes experience.

eFinancialCareers · London

Hands-on core engineering role building production-grade agentic AI systems, including agent reasoning loops, memory management and sub-agent delegation in Python. You will develop custom Model Context Protocol servers connecting agents to enterprise systems such as ServiceNow, JIRA, Kafka and internal REST/gRPC services, and implement resilient error handling, retries and human-in-the-loop escalation. The position sits within Line of Business squads, also involving guardrail integration, evaluation harnesses and coaching junior developers.

eFinancialCareers · Belfast

Hands-on engineering lead building AI-powered products and enterprise-scale applications, staying close to code through architecture, system design and code reviews. Sets technical direction across full-stack ecosystems (frontend, backend, APIs, cloud) using Python, Go, TypeScript, JavaScript or React, Kubernetes and microservices, while mentoring engineers and driving GenAI adoption.

Harnham - Data and Analytics Recruitment · London · £55,000 – £65,000 pa

Builds and deploys fraud detection, identity verification and fraud scoring models, analysing large datasets to surface fraud trends and risks. Also evaluates new data sources and ML techniques, and creates monitoring and reporting to track model and fraud performance. Works cross-functionally with Product, Engineering, Risk and Data teams in a collaborative data science team.

Entrust · Lisbon, Portugal

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.

Isomorphic Labs · Lausanne, Switzerland

Architect and secure an AI-first drug discovery platform, reporting to the CISO. You will build AI-specific risk frameworks, protect model artifacts, deploy LLM and agentic guardrails, and lead AI security incident response across distributed training and inference infrastructure.

CrowdStrike · London

Builds and operates an end-to-end validation pipeline for CrowdStrike's Cloud Detections Platform, verifying component, system and application-level features across processing, data and customer-facing layers. Manages CI/CD with Jenkins or GitHub Actions, improves automated test coverage, and diagnoses root causes of production outages in large-scale distributed systems.

OpenAI · London

Senior technical owner for a portfolio of public sector customers, shaping AI strategy from pre-sales discovery through production adoption. Owns the technical account plan across ChatGPT Enterprise, the OpenAI API, Codex and agentic solutions, designing architectures spanning models, data, integration, identity, security and governance while coordinating deployment, enablement and partner specialists.

Multiverse · London

Builds AI-powered workflow automation across the GTM stack, from lead research and CRM enrichment to call analysis and personalised outreach, owning builds end to end through deployment and monitoring. Connects tools that don't natively integrate via webhooks, middleware and scripts, and works across Marketing, Sales, CS, Data and Finance on cross-functional automation.

Wayve · London

Post-train, distill and evaluate GAIA-family large video diffusion world models for synthetic driving data, covering embodiment and pose transfer. Own large-scale GPU generation pipelines and land synthetic data into the driving-model training stack, working between ML research and platform engineering.

OpenAI · London

Senior technical owner for a named portfolio of enterprise customers, acting as the "CTO of your book of business" from pre-sales discovery through production adoption. Owns the technical account plan across ChatGPT Enterprise, the OpenAI API, Codex and agentic solutions, designing architectures spanning models, data, integration, security and evaluation while coordinating deployment, enablement and partner specialists.

Thought Machine · Lisbon, Portugal

Owns complex, ambiguous technical challenges end-to-end, shaping long-term platform architecture and company-wide engineering standards. Drives adoption of AI tooling, leads technical interviews, and mentors senior engineers while acting as a link between leadership and engineering teams. Based in the Lisbon office, requiring three days a week onsite.

Darktrace · Cambridge

Works within Cambridge R&D teams on high-impact projects spanning rapid prototyping and structured platform development, providing expert technical direction and mentoring engineers across languages such as Python, JavaScript, Rust and C++. Involves advancing methodology for defending against unknown cyber-attacks, shaping technical strategy, and engaging with executive leadership. Hybrid role with two days a week in the Cambridge office.

Darktrace · London

Works within the Cambridge R&D teams on high-impact projects spanning rapid prototyping and structured platform development, advancing methodology for defending against unknown cyber-attacks. Provides expert technical direction, mentors engineers across languages like Python, JavaScript, Rust and C++, and engages executive leadership on technical strategy. Requires Docker, cloud, CI/CD and Git proficiency with a strong interest in cyber-security and malware forensics.

ElevenLabs · London

Owns safety datasets end-to-end, from collection and labelling to quality control and versioning, and builds evaluation workflows that track model performance in production. Works across data science, ML, AI safety and policy, developing Python/SQL pipelines and managing external labelling contributors. Based in London alongside the AI Safety and Policy teams.