Artificial Intelligence Jobs

Wayve · London

Owns validation strategy for ADAS and L2 autonomy functions, translating product, safety and regulatory requirements into test scenarios, metrics, coverage and acceptance criteria. Works hands-on with Python evaluation pipelines, simulation and SQL-based data analysis, spanning simulated and physical test environments. Open at senior IC or manager level, with close collaboration across Product, Safety and Release stakeholders.

Wayve · London

You'll design, build and operate shared infrastructure for model access, agent runtimes and observability, taking projects from problem definition through technical design, deployment and ongoing operation. Working with security, IT and engineering teams, you'll create governed access layers, reusable tooling and standards so teams can run AI agents in production without one-off infrastructure.

Isomorphic Labs · Cambridge, United States

Lead and execute the translational medicine strategy across oncology programs, ensuring clinical biomarker assay readiness and data delivery to inform mechanism of action, resistance and future indications. Serve as a core program team member and cancer biology expert, collaborating with AI and computational biology teams to build innovative biomarker analysis tools and advance companion diagnostics.

Isomorphic Labs · London

A general expression-of-interest pipeline for experienced software engineers, ML researchers and engineers, computational chemists and technical program managers. The interdisciplinary team builds predictive and generative AI models for drug design, working across therapeutic areas and modalities. The role follows a hybrid model requiring three days a week in the London office.

CrowdStrike · Ireland

Investigates emerging malware and cyber threats across the full attack lifecycle, validating Falcon's detection coverage and identifying gaps. Works with Threat Research, Engineering, Data Science and Red Team to turn findings into product improvements, using automation, AI and machine learning to scale analysis.

CrowdStrike · United Kingdom

Lead a team of data scientists applying machine learning, large language models and reverse engineering to cybersecurity problems at massive scale, handling trillions of events daily. The role blends technical leadership, roadmap and stakeholder management with hands-on work on malware detection, threat analysis and AI-driven security automation.

Michael Page · Leeds · £40,000 – £48,000 pa

Analyse large datasets to uncover trends and build predictive models and algorithms that support strategic decisions in a financial services setting. Work within a collaborative analytics team, presenting findings to non-technical stakeholders and helping maintain data pipelines and infrastructure. Requires Python, R or SQL plus statistical and machine learning techniques, with GIS tooling also desirable.

Faculty · London

A one-week unpaid work placement at Faculty's London offices for UK Armed Forces veterans in their final 12 months of service. Participants gain structured exposure to different roles, processes and people across the Defence Business Unit, seeing how a leading AI company applies machine learning to surveillance, reconnaissance, autonomous systems and combat service support.

Faculty · London

Technical leadership role owning delivery of complex machine learning and Generative AI projects for financial services clients, spanning LLM and agentic AI applications. Sets technical direction for the data science team, mentors and manages data scientists, leads bids and scoping, and acts as an external thought leader publishing and presenting at conferences.

Interface Recruitment · Leeds

Lead a team of four to own the innovation agenda at an FCA-regulated asset manager, translating technology strategy into actionable roadmaps and championing AI, machine learning, generative AI and intelligent automation. Oversee innovation governance, value realisation and risk management, partnering with business, risk and technology teams to strengthen operational resilience within regulatory expectations.

University of Exeter · Exeter · £21,805 pa

Investigates whether small language models running on local workstations or on-premises servers can serve as reliable agents for bounded business workflows. The student will distil agentic capability from large teacher models via harness optimisation and fine-tuning on execution traces, measuring reliability, cost, latency and data locality, and releasing open tooling for UK SMEs.

Scale AI · United Kingdom

Fellows design complex, domain-specific problems and datasets to rigorously evaluate generative AI models, then provide expert interpretation to improve their accuracy and reasoning. They collaborate with partner AI labs and Scale's research team, potentially co-authoring technical reports and benchmarks. Work is project-based within an interdisciplinary network of academics, with flexible 10–40 hour weeks.

eFinancialCareers · London

Business-facing role identifying, shaping and delivering AI-enabled process improvements across a global legal and professional services firm. Involves business analysis, process mapping, prompt engineering, reusable prompt patterns and agentic workflow concepts, plus governance, risk and adoption support. Candidates can be based in London or the Channel Islands with occasional travel.

Barclays · London

Summer internship in the Client Data & Engineering Group, working on real projects that apply data, analytics and AI to generate client and market insights across the Investment Bank. Interns analyse datasets, build dashboards and visualisations, support data platforms and data quality, and contribute to AI/ML use cases, collaborating with Markets, Banking and Technology stakeholders over a 10-week programme.

Back TO Work · Nottingham · £26,500 pa

An apprenticeship supporting a manufacturing firm's IT and security team, monitoring production networks for unusual activity, responding to alerts, managing user accounts and access permissions, and helping maintain security standards across office and factory systems. The role blends cybersecurity with AI, using AI-powered tools for anomaly detection, automation and reporting dashboards, while learning to protect operational technology and connected devices.