Artificial Intelligence Jobs

CrowdStrike · Romania

Join the Advanced Research Team to perform vulnerability research across a wide range of targets, including analyzing vendor patches, developing proof-of-concept exploits, and confirming exploitation of 0-day and n-day vulnerabilities. The role also involves building automated solutions for collecting and processing data at scale, reverse engineering, and publishing research on the CrowdStrike blog or at conferences.

CrowdStrike · Germany

Security researcher on CrowdStrike Intelligence's Advanced Research Team, developing automated tooling to collect, process and analyse data at scale, including vendor patch analysis and exploit identification in large file collections. The role involves vulnerability research, reverse engineering, and reproducing 0-day and n-day exploits, with results published on the blog or at conferences. Work is remote and collaborative, spanning Windows and Linux internals with Python tooling.

NVIDIA · France

Serve as the first line of technical expertise between NVIDIA, hyperscaler partners and end-customers, with a primary focus on the Google Cloud (GCP) partnership. Day to day involves proof-of-concept demonstrations, optimising GPU-accelerated training and inference pipelines, and engaging developers, researchers and technical executives to evangelise accelerated computing and Generative AI.

NVIDIA · United Kingdom

Engages directly with customers and partners to architect and validate large-scale GPU-accelerated HPC/AI clusters, spanning hardware handover through Day 2 production stability. Works tool-agnostically across upstream Kubernetes, KubeVirt, Slurm, Prometheus/Grafana and Cumulus/SONiC, owning burn-in testing, fleet reliability and enablement runbooks.

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.

ElevenLabs · London

Forward-deployed engineer embedded with GTM, Operations and Finance teams, co-designing and shipping agentic AI workflows that remove manual toil. You build AI agents and orchestrations with ElevenAgents, Claude and n8n, integrate them with Salesforce, Slack and Ashby, and own experiments end-to-end including evaluation and monitoring frameworks.

Computer Futures · United Kingdom · £600 pd

Hands-on contract role building GenAI and Agentic AI products within a product squad, using Python and LangGraph to create multi-step workflows with state, routing, tool use and human review. You will design end-to-end RAG pipelines, integrate APIs and backend services, evaluate LLM quality and hallucinations, and deploy secure, scalable solutions on Azure. Work is remote with occasional client site travel and requires active SC clearance for an MOD project.

Tenth Revolution Group · London · £75,000 – £105,000 pa

Builds and deploys production LLM and Generative AI applications for enterprise clients, including RAG solutions, scalable data pipelines and AI-powered services. Works in a collaborative consultancy team of engineers and architects, applying software engineering best practices to take AI from proof of concept into production, with monitoring and optimisation of live systems.

Rise Technical Recruitment · London · £120,000 – £150,000 pa

Own the end-to-end AI game generation pipeline, leading a multidisciplinary team across ML, data engineering and game development. Define architecture, evaluation frameworks and playability metrics, and drive model routing, caching and retrieval strategies to cut generation costs while improving quality.

Synthesia · London

Lead design for AI-native, agentic Sessions surfaces where employees learn through conversation and AI acts as a direct participant in work. As a senior IC, you set direction, influence roadmap bets with Product and Engineering, and prototype novel conversational and agentic interaction patterns. The role focuses on trust, transparency and user control in AI-driven workflows.

Anthropic · London

A four-month, full-time research fellowship focused on empirical AI safety and security projects, using external infrastructure such as open-source models and public APIs, with the goal of producing a public output like a paper submission. Fellows receive direct mentorship from Anthropic researchers, access to shared workspaces in Berkeley or London, and join a broader AI safety and security research community.

Carrington Recruitment Solutions · Gateshead · £75,000 – £85,000 pa

Hands-on lead role guiding a small development team across a portfolio of applications while setting engineering standards and shaping delivery. Tech stack spans C#, .NET, Python, React, SharePoint and Azure PaaS, with an AI-native edge using GenAI tools such as Copilot, ChatGPT or Claude. Mainly remote with occasional travel to Leeds and other offices.

Carrington Recruitment Solutions · Liverpool · £75,000 – £85,000 pa

Hands-on lead role guiding a small development team across a portfolio of applications while shaping delivery and engineering standards. You'll work with C#, .NET, Python, Azure PaaS and React, collaborating with Product and Architecture, with an AI edge using GenAI tools like Copilot, ChatGPT or Claude. Mainly remote with occasional travel to Leeds and other offices.

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.

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.