Top Tech Jobs & Startup Jobs in London

Conduct original AI safety research by designing and running experiments on transformer-based LLMs, applying white-box and black-box interpretability methods, developing reproducible Python research code and tooling, documenting results in papers and reports, and translating findings for external partners and stakeholders.

Provide Level 1 IT support as first point of contact, diagnose and resolve hardware/software issues, onboard new employees, manage in-office technology, own IT projects, and document processes to build a knowledge base.

Design, build, and deploy secure, scalable cloud infrastructure and reusable IaC for AI/ML workflows. Enable ML engineers/data scientists via CI/CD, GitOps, containerization, and platform libraries while partnering with stakeholders and researching open-source tooling.

Build and deploy production-grade ML software, tools and infrastructure; create reusable, scalable ML solutions; collaborate with engineers, data scientists and commercial leads; lead technical scoping and architecture; define deployment standards; advise clients and stakeholders on ML feasibility and delivery.

Lead a portfolio of AI-focused projects for Communications & Media clients: oversee delivery, commercial margins, client relationships, risk mitigation, proposals and business development, and mentor cross-functional teams while advising on AI strategy.

The Staff Product Designer will establish design standards for an AI-native platform, focusing on user interaction, coherence, and innovative design patterns. Responsibilities include defining interaction models, pioneering new design frameworks, and mentoring peers while collaborating across teams to enhance design culture.

Design, build and deploy production-grade ML systems and infrastructure. Create reusable, scalable solutions, lead technical scoping and architecture, collaborate with data scientists and engineers, and advise clients and stakeholders on ML feasibility, standards, and delivery.

Work on AI transformation projects for government clients: manage work streams, gather stakeholder requirements, perform open-source analysis, translate operational needs into user stories, design and test user-centric workflows, and collaborate with technical teams to deliver bespoke AI solutions.

The Lead Machine Learning Engineer will direct AI projects, ensure sound architectural decisions, mentor engineers, and drive innovation within the team.

Lead multiple complex AI-driven programs for Public Services clients, manage project portfolios, develop proposals, mentor team members, and advise on AI strategy.