Artificial Intelligence Jobs

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.

CrowdStrike · Ireland

Leads a team of three data scientists building machine learning and agentic AI systems for threat detection, malware analysis and security automation. Sets technical standards and strategy for ML development, deployment and monitoring, while staying hands-on with Python, big data and cloud infrastructure.

Anthropic · London · £225,000 – £255,000 pa

Partner-facing role embedding with nonprofits, research institutes and academic medical centres to apply Claude to clinical development for rare and neglected diseases. You'll help design and review trials, build drug-repurposing tools from literature, omics and patient data, and create reusable infrastructure like MCP servers and benchmarks.

WeDoTech · London · £120,000 – £160,000 pa

Hands-on technical leadership role building and scaling enterprise Generative AI, LLM and agentic AI systems across multiple engineering teams. Involves designing production-grade RAG and multi-agent solutions, shaping reusable AI frameworks and standards, and ensuring reliability and governance in a regulated financial services environment.

Quantexa · London

Builds and enhances scoring and detection tooling on a Decision Intelligence platform, turning complex interconnected data into actionable insights for financial crime detection. Works across the stack with agentic AI tooling, taking features from concept to release alongside product teams and senior engineers.

Profile 29 · London · £40,000 – £50,000 pa

Supports founders, developers and customer success on a fundraising SaaS platform, splitting time between customer conversations, writing product requirements, testing features and researching AI applications. Runs sprint planning, monitors feedback and performance, and helps shape 3- and 12-month roadmaps while balancing technical debt against new features.

eFinancialCareers · London

Lead end-to-end delivery of high-performance Java applications for real-time FX risk management across global markets, architecting low-latency, scalable systems. Works closely with quants, traders and business stakeholders, and uses Citi's internal GenAI ecosystem (GitHub Copilot, Devin.AI, Stylus Workspaces) daily. An individual contributor role with no direct reports, including L3 production support and weekly releases.