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.

CrowdStrike · Spain

Lead a team of data scientists working at the intersection of machine learning, large language models and cybersecurity, translating business needs into research objectives and production ML systems. The role combines technical leadership, roadmap planning and stakeholder communication with hands-on work on malware detection and threat analysis at massive scale.

Faculty · London

Scoping, building and delivering bespoke AI solutions for pharmaceutical and life sciences clients, managing individual work streams and translating operational requirements into user stories for engineering teams. Involves open-source analysis, workflow design and close collaboration with data science and ML experts, with a focus on high-stakes, user-centric decision-making.

dunnhumby · London

Joining the Retail Insight team, you will investigate, develop and deploy complex models and algorithms for Tesco, covering personalisation, basket analysis, pricing, promotions and loyalty. The role blends statistical modelling, machine learning and client-facing delivery, building reusable, scalable solutions alongside client leadership teams.

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

Senior leadership role owning the technical strategy for AI safety, setting research directions across alignment, interpretability and robustness, and leading a new R&D team. Involves red-teaming and evaluations for frontier labs and national safety institutes, plus external thought leadership and cross-functional work with commercial teams.

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.

Nordson · Colchester

Lead and unify a globally distributed software engineering organisation across Colchester, Feldkirchen, Bangalore and remote teams in Europe and Asia. The role balances customer-specific delivery with strategic product roadmaps, architectural modernisation and the adoption of AI both in engineering processes and in X-ray, acoustic and optical inspection products.

Harnham - Data and Analytics Recruitment · London · £40,000 – £50,000 pa

Analyses large, complex datasets to uncover business insights while supporting data pipeline development and engineering processes. Works with proprietary client data on Generative AI and LLM projects, including data labelling, model training and experimentation, collaborating closely with founders in an early-stage AI startup.

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.

CBSbutler Holdings Limited trading as CBSbutler · Merseyside · £480 – £500 pd

Owns the target architecture and design authority for an enterprise Factory Edge hosting service, defining reference architectures, reusable site patterns and guardrails across VMs, Kubernetes, MES/UNS and AI/GPU workloads. Acts as design authority across infrastructure, cloud, networking, security and OT, with occasional factory visits in Merseyside.

CrowdStrike · Redmond, United States · US$140,000 – US$215,000 pa

Owns the product strategy for CrowdStrike Falcon Privileged Access, driving the shift from legacy vaulting to just-in-time, zero-standing-privilege access across endpoints, infrastructure and cloud. Works with designers and other product teams to build frictionless elevation experiences and secure secrets, non-human identities and brokered admin sessions using Falcon telemetry and AI. Hybrid role with at least two days a week in office.

Databricks · London

Owns the core write-path operations for Delta Lake, the open-source storage layer behind the Databricks Lakehouse, driving performance innovations like Low Shuffle Merge and Deletion Vectors. Designs and maintains high-QPS, low-latency backend systems at massive scale, with technical leadership, mentoring and cross-team project planning.