Artificial Intelligence Jobs

Hadean · London

Lead a new AI-powered defence product team, line-managing AI/ML, simulation, infrastructure and web engineers while staying hands-on in TypeScript, React and Node. You own delivery end-to-end, hiring and people development, partnering with Product and technical leads, with hybrid working one day a week in Shoreditch.

CrowdStrike · Spain

Analyzes large-scale security telemetry, threat intelligence feeds and detection data to surface trends, anomalies and emerging threats. Builds dashboards, data pipelines and KPI frameworks using SQL, Python, Logscale and visualization tools, working cross-functionally with product and engineering teams in the Office of Adversary Strategy.

CrowdStrike · Romania

Analyzes large-scale security telemetry, threat intelligence feeds and detection data to surface trends, anomalies and emerging threats. Builds dashboards, reports and data pipelines using SQL, Python, Logscale and graph databases, working cross-functionally with product and engineering teams to turn raw security data into actionable insights and KPIs.

ElevenLabs · United Kingdom

Builds and scales data pipelines from ingestion to delivery, implementing dbt best practices, data standards and quality controls. Develops self-service tooling and documentation so teams like Engineering, RevOps and Growth can access data independently, and creates AI agents to answer data questions. Works remotely within a lean, high-velocity data team.

ElevenLabs · United Kingdom

Owns the data infrastructure behind frontier AI models, building large-scale pipelines for collecting, filtering and transforming training datasets. Also trains classifiers, quality filters and labeling models, and designs curation strategies like deduplication and quality scoring. Builds tooling so researchers can explore and train on massive datasets quickly.

Sanderson · London · £550 – £700 pd

Builds, deploys and maintains machine learning models and end-to-end ML pipelines in a modern cloud environment, writing production-quality Python and SQL. Works with data scientists, analysts and engineers to take AI products from proof of concept to production, including NLP and large language model work, plus monitoring and documentation.

NVIDIA · United Kingdom

Lead NVIDIA's developer strategy with a major cloud service provider, driving GPU acceleration adoption across AI and generative AI workloads. The role blends developer advocacy, product management and business development, building engineering partnerships and hosting summits and meetups. High visibility with senior leadership in a strategic deep learning and HPC area.

Faculty · Remote (UK)

Owns end-to-end delivery of AI transformation programmes for UK Defence clients, from scoping and planning through implementation and user adoption. Acts as the link between customers and data scientists, translating mission challenges into AI solutions while managing senior stakeholders and growing commercial opportunities. Requires UK Security Clearance eligibility and 2-4 days per week on client sites.

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.

Scale AI · United Kingdom

Legal experts evaluate and stress-test generative AI outputs across compliance, litigation, case law and contract analysis, designing complex real-world scenarios and giving targeted feedback to improve model accuracy and regulatory alignment. Fellows also collaborate with Scale's research team on technical reports and benchmarks, working flexibly within an interdisciplinary network of academics and domain specialists.

Scale AI · United Kingdom

Medical experts design complex clinical scenarios, evaluate generative AI model decision-making for safety and accuracy, and shape reasoning frameworks through structured feedback. Fellows collaborate with AI labs and Scale's research team, potentially co-authoring technical reports and benchmarks, within an interdisciplinary network. Work is project-based and flexible, with hours set by the fellow.

CrowdStrike · United Kingdom

Lead incident response engagements, conducting intrusion investigations under outside counsel and performing host and network forensics across Windows, Mac and Linux, plus basic malware analysis. Produce written and verbal reports for customer management, regulators and legal counsel, and develop new methods to hunt bad actors across large data sets.

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.

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

Join the research team at an AI audio company, training state-of-the-art models across modalities and pushing existing models further through post-training, data curation and architectural improvements. You'll also design rigorous benchmarks and evaluations to determine whether new model iterations are genuinely better, working in lean autonomous teams with minimal bureaucracy.

ElevenLabs · United Kingdom

Owns large-scale distributed web crawling systems that discover, fetch and extract data from billions of pages to feed frontier AI models. Work spans content extraction from messy HTML, web-scale deduplication, recrawl and freshness strategies, politeness and rate limiting, plus tooling for researchers to request and explore crawled data.