Artificial Intelligence Jobs in Woking

Scale AI · United Kingdom

Fellows join an interdisciplinary expert network and are matched to short-term AI/ML projects, ranging from evaluating models and designing experiments to building RL environments and reviewing PyTorch code. They may also co-author technical reports and research papers with Scale's research team. Engagement is fully remote, self-scheduled, with no minimum commitment.

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.

Ocado · Kraków, Poland

Senior ML engineer role in a cross-craft data science team building prediction, ranking and personalisation systems for an e-commerce platform. Owns the full ML lifecycle on production systems, from experimentation and training through serving, monitoring and MLOps, while coaching others and shaping reusable platform building blocks.

Jazz Pharmaceuticals · London

Serves as strategic business partner and Chief of Staff to the Heads of Pipeline & Project Management and Data Science (EDGE), architecting executive operating rhythms, QBRs and board-level briefings. Leads multi-year workforce planning, capacity modeling, functional budget stewardship and post-deal integrations, while driving process improvement and AI-enabled operational transformation across R&D.

eFinancialCareers · Belfast

Operational role on Citi's Offensive Security and Vulnerability Management team, running penetration tests, vulnerability assessments and Red Team adversarial evaluations across the application portfolio. The AI dimension is twofold: testing GenAI applications and agentic systems for prompt injection, retrieval poisoning and tool misuse, while using AI-assisted tooling to speed up reconnaissance and validation. Involves building triage pipelines and containment architectures for AI agents at enterprise scale.

eFinancialCareers · London

Develops predictive machine learning models for fixed income and credit markets, covering issuer credit deterioration, transaction costs, liquidity forecasting and relative-value opportunities. Also builds LLM-powered document intelligence systems to extract structured data from filings, transcripts and prospectuses, with a strong emphasis on out-of-sample validation, explainability and production data pipelines.

eFinancialCareers · London

Owns the Trade Lifecycle Operational Flow, designing structured lifecycle events, a canonical operational schema and straight-through processing to eliminate manual post-trade adjustments. Drives the engineering backlog from MVP to production, partners with Trade Capture and Digital Channels squads, and embeds AI agents as first-class participants in hybrid engineering teams.