Artificial Intelligence Jobs

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.

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.

Darktrace · Cambridge

You will prototype and develop new ideas to improve Darktrace's cybersecurity services, balancing creativity with time constraints while collaborating with a cross-functional team of engineers, designers and strategists. Work spans rapid prototyping and structured platform development, with a primary focus on TypeScript alongside Docker and cloud environments.

Darktrace · Cambridge

Partners with developers and product teams to embed quality from the start, designing and maintaining automated test frameworks across API, UI, integration and regression layers. Builds scalable suites into CI/CD pipelines, drives shift-left testing, and contributes to test strategy, code reviews and architecture discussions.

Adecco · Cambridge

Lead the AI engineering strategy and delivery of advanced AI products and platforms, reporting to executive leadership. Manage software, platform and AI engineering teams, driving adoption of Agentic AI, LLMs, RAG and multi-agent architectures across Azure, AWS or GCP. Requires a strong engineering background and proven leadership in high-growth environments.

Anthropic · London · £255,000 – £325,000 pa

Founding leader for Anthropic's Forward Deployed Engineering practice, hiring and developing a team that embeds with strategic enterprise customers to ship production AI applications. Player-coach role balancing technical review, architecture oversight and hands-on debugging with setting standards, building repeatable playbooks and partnering with Sales, Product and Engineering. Requires travel to customer sites 25-50% of the time.

The Alan Turing Institute · London · £96,000 – £115,000 pa

Provides scientific and strategic leadership for the AI for Physical Systems research area, shaping a portfolio spanning probabilistic modelling, uncertainty quantification, efficient architectures and physics-informed machine learning. Leads a multidisciplinary team of researchers and engineers, taking methods from foundational research through to deployment on real-world resilience challenges, and builds collaborations across academia, government and industry.

NVIDIA · Bristol

Research and develop techniques to GPU-accelerate deep learning, machine learning and other AI workloads, working with technical experts from industry and academia to analyse and optimise complex AI and HPC algorithms on modern CPU and GPU architectures. The intern also publishes optimisation techniques via developer blogs or conferences and helps influence next-generation hardware, software and programming models.

The Portfolio Group · Manchester

Set the AI vision and roadmap while staying hands-on, architecting and deploying machine learning and generative AI solutions into production. Work spans RAG, LLMs, vector search and knowledge graphs, plus building a cross-functional team and establishing AI governance. Based fully on-site in Manchester, reporting into senior leadership.

OpenAI · London

Lead a team of senior Applied AI Architects acting as the technical "CTO of the book of business" for OpenAI's largest enterprise customers across North EMEA. Own technical account strategy, resource allocation and paths to production across ChatGPT Enterprise, the API, Codex and agentic solutions, while coaching the team and serving as an executive technical sponsor.

Noir · Abingdon · US$170,000 – US$195,000 pa

Take full ownership of the technology function at an early-stage AI venture, making key architectural decisions and building a founding engineering team. The platform combines proprietary data, real-time insights and advanced AI (LLMs, RAG, AI agents) for a specialised luxury and wealth intelligence market. The role blends hands-on engineering with founder-level strategy and equity.

Noir · London · £160,000 – £180,000 pa

Take full ownership of the technology function at an early-stage AI venture, making key architectural decisions and building a founding engineering team. The platform combines proprietary data, real-time insights and advanced AI, with work spanning LLMs, RAG pipelines, AI agents, data infrastructure and cloud architecture. It is a hands-on founder role rather than a traditional management position.

eFinancialCareers · London

Leads the design, development and operation of high-rigor analytical and machine-learning systems across a complex, regulated financial-services estate, defining the AI/ML roadmap while remaining hands-on. Owns the full model lifecycle from feature engineering and back-testing to deployment, monitoring and incident response, with models expected to be explainable and production-grade. Works closely with engineering, data platform and product teams, mentoring other data scientists with limited line management.

NVIDIA · Zürich, Switzerland

Research and develop techniques to GPU-accelerate deep learning, machine learning and other AI workloads, working with technical experts to analyse and optimise complex AI and HPC algorithms on modern CPU and GPU architectures. The role also involves publishing optimisation techniques via developer blogs or conferences and influencing next-generation hardware and software design.

Barclays · Glasgow · £25,200 pa

A graduate apprenticeship in the technology function, rotating across capabilities to design and build digital solutions, analyse requirements and support delivery teams. Apprentices combine real project work with an AI and Data Science qualification, collaborating cross-functionally with business stakeholders while learning within defined procedures and controls.