Artificial Intelligence Jobs

Faculty · London

Deliver bespoke, production-grade machine learning systems for government and national security clients, spanning the full ML lifecycle from architecture to deployment. Work with Python, Scikit-learn, TensorFlow or PyTorch, plus cloud platforms and Docker/Kubernetes, while advising stakeholders and setting deployment standards.

Wayve · London

Builds and operates backend services, APIs and data-processing workflows for a platform that deploys, runs and evaluates ML models over petabytes of driving data on large GPU fleets. Work spans model-execution workflows, versioned outputs, annotation and dataset-catalogue features, plus reliability, scheduling and observability across distributed systems.

Faculty · London

Builds and scales client-facing web applications that translate complex machine learning insights into intuitive interfaces for government and public sector clients. Works across the product lifecycle with data scientists and designers, architecting reusable design systems and maintaining CI/CD and cloud deployment workflows while mentoring other engineers.

Wayve · London

Builds and evolves the data pipeline and orchestration platform behind Wayve's autonomous driving data, revamping the existing Harness system and creating a new DAG-based workflow platform. Works with Python, Airflow/Dagster/Flyte, Ray or Spark and Kubernetes to run hundreds of parallel pipeline steps, batch inference and evaluations reliably at scale.

Thought Machine · London

Guardian of mission-critical production infrastructure powering core banking and payments platforms for major financial institutions. Involves automating fleet management, designing disaster recovery and capacity planning, participating in a global on-call rotation, and mentoring engineers while working with senior stakeholders and SaaS customers.

Thought Machine · London

Technical Programme Managers own the delivery of complex, multi-team engineering programmes, from planning and milestones through to coordination and stakeholder communication. The role requires hands-on understanding of microservice stacks such as Kubernetes, Kafka and AWS/GCP, and involves driving continuous improvement across a fast-paced engineering organisation.

Capital One · Mansfield

Lead the development of proprietary deep learning models to enhance underwriting capabilities, building neural networks such as LSTMs, RNNs and Transformers on structured and unstructured data. Set technical direction, manage projects, communicate with stakeholders and mentor junior team members, taking ideas from prototype to production.

Capital One · Nottingham

Leads development of proprietary deep learning models to enhance underwriting capabilities, building neural networks such as LSTMs, RNNs and Transformers on structured and unstructured data. Bridges R&D and production, prioritising initiatives with stakeholders and mentoring junior team members.

Amazon · London

Manage a London-based team of associates producing labelled speech and language data for Alexa and Amazon Echo ML systems. Day to day you assign work, monitor queue adherence, volume and quality, hire and train associates, build weekly schedules across competing workflows, and track quality and utilisation metrics. You liaise with program management and global operations leads on risk mitigation and drive process improvement using Kaizen, Six Sigma or lean methods.

Relation Therapeutics · London

Develops and benchmarks machine learning models for DNA sequence, regulatory elements and genetic variation, including variant effect prediction and representation learning. Integrates sequence-derived representations with transcriptomic, epigenomic and perturbational data to uncover disease mechanisms and support target prioritisation, working within the interdisciplinary Rosalind team.

Relation Therapeutics · London

Drive imaging data science for a TechBio company, curating training-ready cell painting and brightfield datasets and designing evaluation frameworks that separate biological signal from technical artefact. Partner with wet lab assay teams from plate design to data delivery, interpret foundation-model behaviour on cellular imaging, and link imaging readouts to single-cell and perturbation data.

NVIDIA · Bristol

Research and develop techniques to GPU-accelerate deep learning, machine learning and other AI workloads, working with technical experts from industry and academia to analyse and optimise complex AI and HPC algorithms on modern CPU and GPU architectures. The intern also publishes optimisation techniques via developer blogs or conferences and helps influence next-generation hardware, software and programming models.

The Alan Turing Institute · London · £45,505 – £58,482 pa

Contribute to cutting-edge research at the intersection of AI, weather and climate forecasting, developing next-generation models for environmental prediction and decision-making. Collaborate with leading researchers and partners on Earth system modelling, climate resilience and operational climate intelligence. Senior applicants take greater ownership of research direction, publications and funding proposals.

Amazon · London

Labelling and evaluating text, speech, image and video data to improve Alexa's performance, acting as a subject matter expert for ML data workflows. The role involves quality checks, root cause analysis, and suggesting process improvements while maintaining strict confidentiality. The team works on-site Monday to Friday in eight-hour shifts.

University of Bristol · Bristol · £44,746 – £58,225 pa

The postholder will contribute to world-leading AI research and develop and deliver education programmes, including a new undergraduate degree in Computer Science with AI. The School is particularly interested in candidates with strengths in Multi-Modal AI and Computer Vision, and the role involves publishing in top venues and applying for external funding.