Artificial Intelligence Jobs

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.

Faculty · Remote (UK)

Deliver bespoke, production-grade machine learning systems for defence clients, covering the full ML lifecycle from architecture and scoping to deployment. Work with Python, Scikit-learn, TensorFlow or PyTorch, plus cloud platforms and Docker/Kubernetes, splitting time between client sites and remote work.

Harnham - Data and Analytics Recruitment · United States · US$200,000 – US$225,000 pa

Build and own core platform capabilities including application infrastructure, APIs and shared services, developing full stack applications in Python, React and TypeScript. Surface machine learning and predictive analytics insights through intuitive interfaces and integrate AI/LLM workflows into production, working in a small innovation team with significant architectural ownership.

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.

eFinancialCareers · London · £450 – £550 pd

Develops and maintains C# software and algorithms that process incoming news streams, turning financial and market data into accessible information for research and investment decisions. Also explores artificial intelligence to enhance information processing and contributes to the wider software infrastructure supporting Global Research services. Works alongside Python-based tooling within a consultancy team serving financial services clients.

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.

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.

eFinancialCareers · Belfast

Hands-on player-manager role leading a growing Data & Analytics function, combining Power BI development, SQL analysis and AI exploration with stakeholder management and delivery leadership. You will build dashboards and semantic models, manage the Power BI environment and backlog, prototype HTML-based analytical applications, and apply generative AI and Copilot to improve reporting while coaching analysts and engineers.

CrowdStrike · London

Internship on CrowdStrike's Technical Analysis Cell, researching nation-state and criminal intrusions through reverse engineering of malware and tooling. The intern documents findings, builds automation for malware analysis, creates host- and network-based detection signatures, and produces threat intelligence reporting for varied audiences.

PhysicsX · New York, United States · US$150,000 – US$190,000 pa

Delivery-focused role embedding physics-aware AI models into customer tools, working on-site with clients across aerospace, automotive and energy. Involves building reliable ML data pipelines, manipulating 3D point-cloud and mesh data, and translating R&D outputs into reusable libraries and products. Expects travel of 3-4 weeks per quarter to customer sites worldwide.

CrowdStrike · Germany

Internship on CrowdStrike's Technical Analysis Cell, researching nation-state and criminal intrusions through reverse engineering of malware and developing automation tools for threat tracking. Involves creating host- and network-based signatures for large-scale hunting and producing finished threat intelligence reporting for customers.

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.

ElevenLabs · London

Builds and operates the platform every product team ships on, running and scaling Kubernetes clusters including GPU clusters for inference and training across cloud and on-prem. Sets up compute, networking, permissions and access, hosts data systems, and builds tooling and automations to make infrastructure self-serve, working hands-on with research, product, security and safety engineers.

ElevenLabs · United Kingdom

Owns and operates NVIDIA GPU clusters across bare metal and rented capacity, handling provisioning, scheduling, monitoring and capacity planning. Builds automation for node health checks, draining, remediation and burn-in, and manages the stack beneath training code including OS images, CUDA, NCCL, InfiniBand/RoCE and Slurm. Also benchmarks rented GPU capacity and does hands-on datacenter hardware work.

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.