Artificial Intelligence Jobs

Luminance · London

Product Associates at this legal AI company work across the development lifecycle, collaborating with engineering, design, marketing and sales to drive product initiatives. Day to day involves writing product specs and requirements, managing timelines, coordinating launches, producing documentation and training materials, and conducting market research. The role is fast-paced and acts as a liaison between product management and other departments.

Luminance · Cambridge

Owns the software development lifecycle that produces packaged releases of an enterprise legal AI platform for distribution to clients. Day to day involves keeping the lifecycle efficient, unblocking the tech team, and analysing the SDLC for weak points to build human or automation solutions improving efficiency, reliability and visibility.

Faculty · London

Oversees a portfolio of Applied AI projects as the senior point of contact for clients and internal teams, managing delivery quality, commercial margins and scope. Combines strategic consulting with business development, writing proposals and growing accounts, while mentoring cross-functional teams using Agile, Scrum or Kanban. Based in the Professional and Financial Services unit serving highly regulated industries.

Faculty · London

Supports delivery of bespoke AI solutions for national security and government clients, focusing on frontier model evaluations and AI safety red teaming. Involves managing work streams, conducting open-source analysis, translating operational requirements into user stories, and designing workflows for high-stakes decision-making alongside technical teams.

Databricks · London

Customer-facing, billable engineering role owning architecture and design decisions while building production-grade data and AI systems on the Databricks platform. Involves embedding with client teams, integrating with their systems, and delivering end-to-end pipelines, ML/AI models and user-facing applications, with around 20% travel to customer sites.

Wayve · London

Builds ground-truth datasets and computer vision classifiers that describe complex driving scenes across Wayve's data corpus, drawing on the World Foundation Model to surface rare scenarios and performance gaps. Day to day spans defining annotation tasks and quality criteria, curating datasets, training and evaluating models in PyTorch, and integrating classifiers into enrichment infrastructure for corpus-wide inference.

Wayve · London

Builds full-stack geospatial services in Python and TypeScript, turning global road-network and navigation data into products for an autonomous driving platform. Owns data pipelines with PySpark and Databricks, route-planning applications, and map data preparation for training and simulation, deploying services on Azure and Kubernetes end to end.

eFinancialCareers · London

Leads the design, development and operation of high-rigor analytical and machine-learning systems across a complex, regulated financial-services estate, defining the AI/ML roadmap while remaining hands-on. Owns the full model lifecycle from feature engineering and back-testing to deployment, monitoring and incident response, with models expected to be explainable and production-grade. Works closely with engineering, data platform and product teams, mentoring other data scientists with limited line management.

CrowdStrike · Canada - Remote ON · CA$150,000 – CA$200,000 pa

Lead a growing team of engineers building self-service infrastructure-as-code primitives, architecting large-scale core services, and driving cloud cost optimization across a multi-cloud environment. The role blends people management with hands-on technical direction, including design reviews, on-call management, and influencing engineering strategy beyond the immediate team.

MFK Recruitment · Brentford · £70,000 – £95,000 pa

Design and deploy production-grade computer vision systems using deep learning techniques such as CNNs and Vision Transformers, translating research into robust AI solutions for defence and security applications. Work across the full development lifecycle, from model design and training to deployment on cloud and edge platforms. Collaborate with researchers, engineers, and customers in a technically challenging environment focused on real-world autonomy and perception systems.

Akkodis · London · £60,000 – £85,000 pa

Lead end-to-end technology procurement and sourcing for Central Government, Defence and National Security programmes, developing commercial strategies and managing competitive tenders and supplier evaluations. Provide commercial expertise across cloud, cyber, data and AI procurements, supporting governance, assurance and senior stakeholder engagement.

MOON RECRUITMENT · Rugby

Assists the commercial and operational teams in preparing accurate estimates, quotations and tender submissions for bespoke joinery projects, reviewing drawings and specifications and analysing material, labour and installation costs. Liaises with suppliers and subcontractors on pricing and uses AI-powered estimating software, with structured training and a route into a more senior commercial role.

VIQU IT Recruitment · London · £50,000 – £70,000 pa

Hands-on engineering role deploying and configuring a platform on Palantir Foundry for large industrial enterprise customers. You will build data pipelines, transformations and integrations, connect customer data sources, and work directly with client stakeholders to get deployments live, supported by senior FDEs and repeatable patterns.

University of Oxford · Oxford · £39,424 – £43,984 pa

Develops 3D reconstruction and multi-view data fusion methods for neonatal cranial ultrasound, validating them on data from the neonatal intensive care unit. Works at the intersection of 3D computer vision, neural rendering and medical image analysis, including physics-informed rendering models for view-dependent acoustic appearance. Based in a multidisciplinary lab alongside deep learning researchers, software engineers and neonatologists.

Entrust · London

Owns a core area of the document verification platform, setting strategy and roadmap for identity document checks used in onboarding and account opening. Works with Engineering, AI/ML, Data Science, Design, Growth and Compliance to improve verification accuracy, conversion, operational efficiency and fraud prevention, using experimentation and analytics.