Artificial Intelligence Jobs

Thought Machine · Singapore

Provides 24/7 global client support for a cloud-native core banking platform, triaging technical issues, reviewing logs, traces and observability dashboards, and performing initial diagnostics. Also provisions cloud infrastructure, runs product upgrades and releases, and works with L3 engineering and client success teams on root cause analysis.

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.

Wayve · London

Develops and maintains Wayve's Core Simulation system in modern C++ and Python, integrating driving-stack components, simulated robot systems and vehicle-platform capabilities. Initially focused on high-scale open-loop evaluation, the role involves debugging on-road versus simulated behaviour, improving reproducibility, observability and automated testing, and profiling simulator performance across a shared codebase.

Wayve · London

Lead a London-based team building the on-vehicle experiment platform that lets researchers deploy driving models to vehicles, run experiments and collect training data. You own people, roadmap and delivery, plus partner and OEM relationships, while staying close to embedded Linux systems code in C++ or Python.

UCL · London · £46,261 – £48,679 pa

Develop and evaluate novel AI algorithms to quantify brain iron load from standard-format MRI data, with a focus on quantitative susceptibility mapping (QSM). Based in UCL's Hawkes Institute, a multidisciplinary grouping at the intersection of engineering and health, within a top-ranked computer science department.

The University of Manchester · Manchester · £48,337 – £59,390 pa

Develops and applies machine-learning and AI methods to protein engineering and enzyme design, analysing large biological, chemical and experimental datasets and building predictive models and computational tools. Works within an interdisciplinary group spanning the Manchester Institute of Biotechnology and Department of Chemistry, providing ML and data-science expertise, training and support to postdocs and students, and contributing to publications and funding bids.

Reed · Cambridge

Lead statistical and bioinformatics analysis projects, developing computational algorithms and applying machine learning to functional genomics research. Work with NGS, OMICS and high-throughput datasets alongside laboratory scientists, using Python, R or Julia and libraries such as TensorFlow and PyTorch. The role also involves mentoring and cross-functional collaboration in a multidisciplinary research team.

Barclays · Glasgow

Owns the optimisation and strategy of transaction monitoring controls across Barclays UK and International, tuning surveillance systems and developing detection solutions. Involves data exploration with SQL, Scala, Spark and Python, plus governance, risk and stakeholder engagement in a regulated financial crime environment.

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.

Harnham - Data and Analytics Recruitment · London · £55,000 – £65,000 pa

Mid-level data scientist role focused on fraud detection and mitigation, working across the full data science lifecycle. Responsibilities include processing large datasets, building and maintaining fraud detection, identity resolution and predictive machine learning models, evaluating new data sources, and monitoring model performance. Requires Python, SQL and production deployment experience, collaborating with data, technology, risk and product teams.

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.

Cranfield University · Bedford · £38,655 – £46,492 pa

Integrates four strands of AI research into a single flight-deck assistant and validates it with airline pilots in Cranfield's Future Systems Simulator. Builds the software platform and automated test framework for real-time operation, creates flight scenarios, runs simulator trials and publishes findings within an EU Horizon Europe project.

OpenAI · London

Develops novel safety mitigations for frontier AI models, applying techniques from interpretability, control and alignment to keep deployed systems safe. Builds and refines risk evaluations, designs red-teaming pipelines, and sets research directions while partnering with experts in misalignment, cybersecurity and biology.

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

Conducts original technical research in AI safety, designing experiments to study and steer transformer-based LLM behaviour using white-box and black-box interpretability methods. Builds reproducible research code and tooling in Python and PyTorch, and communicates findings to frontier labs, government bodies and safety institutes. Works alongside senior and lead scientists, with part-time hours open to discussion.