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.

Multiverse · London

Deliver technical AI content across the AI for Business Value and AI-Powered Productivity programmes, facilitating workshops and drop-in sessions for apprentices. Moderate assignments, provide feedback, and coordinate with coaches and operations to track learner progress. Requires applying AI in business contexts and explaining complex concepts to varied audiences.

CrowdStrike · London

A 12-week summer internship focused on red teaming, shadowing live engagements and running a simulated red team exercise against a lab environment to find vulnerabilities. Interns also work with the red team's development team on a tooling or process improvement project, presenting findings to mentors in simulated client interactions.

CrowdStrike · Reading

A 12-week summer internship focused on red teaming, shadowing live engagements and running a simulated red team exercise against a lab environment to find vulnerabilities. Interns also work with the red team's development team on a tooling or process improvement project, presenting findings to mentors.

Scale AI · United Kingdom · US$300 pa

Research Advisors apply domain expertise in finance, law or medicine to design and evaluate frontier generative AI systems, building benchmarks and computable frameworks for model evaluation. They partner with product, research and GTM teams, support executive client engagements, and co-author technical reports and papers. The role is a flexible part-time contract within an interdisciplinary expert network.

Scale AI · United Kingdom

Fellows design complex, domain-specific problems and datasets to rigorously evaluate generative AI models, then provide expert interpretation to improve their accuracy and reasoning. They collaborate with partner AI labs and Scale's research team, potentially co-authoring technical reports and benchmarks. Work is project-based within an interdisciplinary network of academics, with flexible 10–40 hour weeks.

BrightBox Group · London · £600 – £650 pd

Design and implement enterprise-level data and AI architecture, developing advanced AI engineering models and agentic AI systems. Lead deep data engineering projects including distributed systems, applying systems thinking to complex problems while providing technical leadership across cross-functional teams. Largely remote with one day per week in London.

Multiverse · London

Deliver technical training content to apprentices through workshops and drop-in sessions, covering AI and data domains such as BI tools, predictive modelling and statistics. Moderate assignments, give feedback and track learner progress alongside cohort coaches. The role is a 16-month fixed-term contract with a three-week onboarding programme.

Experis · United Kingdom · £400 – £500 pd

Multiple contract roles spanning data, ML and AI platform engineering, from hands-on specialists to technical leads. Work covers architecture, engineering, governance, security, reliability and operations on a large-scale modern environment, using Python, SQL, Go, DataHub, Trino/Starburst, JupyterHub, OpenSearch, Entra ID/OIDC, FluxCD/Argo CD and Helm. Remote and global, with rates negotiable by experience and location.

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.

Randstad Technologies Recruitment · London · £432 – £484 pd

Design and deploy production-grade Generative AI workflows and backend security guardrails for a global financial institution's AI Centre of Excellence. The role blends Python/Java engineering, AWS and Azure cloud pipelines with Airflow orchestration, plus roughly 20-25% frontend work on guardrail interfaces, alongside production support and ML evaluation metrics.

CBSbutler Holdings Limited trading as CBSbutler · Merseyside · £480 – £500 pd

Owns the target architecture and design authority for an enterprise Factory Edge hosting service, defining reference architectures, reusable site patterns and guardrails across VMs, Kubernetes, MES/UNS and AI/GPU workloads. Acts as design authority across infrastructure, cloud, networking, security and OT, with occasional factory visits in Merseyside.

Scale AI · United Kingdom

Fellows design domain-specific problems and datasets to evaluate generative AI models, then provide expert insight to improve their accuracy and reasoning. Work is project-based with partnered AI labs, including co-authoring technical reports and research papers with Scale's research team. Fully remote, flexible 10-40 hour weeks within an interdisciplinary network.

Scale AI · United Kingdom

Fellows join an interdisciplinary expert network and are matched to short-term AI/ML projects, ranging from evaluating models and designing experiments to building RL environments and reviewing PyTorch code. They may also co-author technical reports and research papers with Scale's research team. Engagement is fully remote, self-scheduled, with no minimum commitment.

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.

Scale AI · Canada; United Kingdom; United States · US$100 ph

Research Scholars own a substantial part of an AI safety research project, turning open questions into hypotheses, baselines and controlled experiments. Day-to-day work includes building and debugging evaluation harnesses, agent environments, datasets and monitoring methods, with weekly mentor guidance and outputs aimed at top ML conferences.