Latest ai analyst Jobs

Staff Software Engineer, AI Reliability Engineering

This role focuses on ensuring the reliability and resilience of large language model serving systems at scale. You'll design service level objectives, build observability tooling, lead incident response, and collaborate across teams to strengthen critical infrastructure paths—from API layers to accelerators. The position demands a systems-thinking engineer passionate about robustness, safety, and cross-team partnership in high-stakes AI environments.

Anthropic London, United Kingdom £325,000 – £390,000 pa

Anthropic Fellows Program, AI Safety & Security

This role involves conducting full-time empirical AI safety research over a 4-month period, aligned with Anthropic’s priorities such as scalable oversight, adversarial robustness, and mechanistic interpretability. Fellows will work on a self-directed project with mentorship from senior researchers, aiming to produce a public output like a research paper. The program offers a structured environment with access to compute funding, a shared workspace, and integration into the broader AI safety research community.

Anthropic United Kingdom

Member of Technical Staff, Applied AI

Develop and deploy generative AI models in customer environments within the biotech and pharmaceutical sectors. Collaborate with interdisciplinary teams to adapt and optimise proprietary models, build production-grade API integrations, and deliver scientific value through technical deployment and customer engagement. Focus on performance, reliability, and translating research into real-world applications.

Latent Labs London, United Kingdom, United Kingdom
Hybrid Permanent
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EMEA Sr. Solutions Architect, Applied AI for Supply Chain, Applied AI Solutions Decisions GTM

This role involves designing and delivering enterprise-wide agentic AI solutions for supply chain decisioning, working with senior stakeholders to create reference architectures that set industry standards. The architect will shape AWS's product roadmap and lead thought leadership initiatives, driving adoption of AI in complex business operations. Focus is on innovation in emerging AI domains and mentoring other architects across the organization.

Amazon London, United Kingdom
Hybrid Permanent
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Senior Software Engineer, Chem-Bio

Design and build core platform systems to support technical research on AI-related chemical and biological risks, translating ambiguous research needs into scalable, maintainable software solutions. Work within a multidisciplinary team to develop LLM-based agent systems, evaluation frameworks, and shared infrastructure while mentoring engineers and shaping technical direction. Operate in a high-impact environment with direct influence on AI policy and global governance.

AI Security Institute London, United Kingdom
On-site Permanent Clearance Required
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Technical Programme Manager, Cyber & Autonomous Systems

This role involves managing technical research programmes focused on evaluating AI capabilities in cybersecurity and autonomous systems. The Technical Programme Manager will work closely with researchers and government partners to design and deliver high-impact, empirical studies that inform national policy. The position requires translating ambiguous research questions into structured, actionable plans while maintaining rapid delivery pace within a sensitive, high-stakes domain.

AI Security Institute London, United Kingdom
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Research Scientist (Biological Models), Chem-Bio

This role involves conducting empirical research into the capabilities of specialised biological AI models, particularly in protein design and genomics, to assess their potential for misuse. The researcher will design experiments to evaluate in-silico predictions against real-world biological outcomes, test the effectiveness of technical safeguards, and translate findings into actionable insights for government and policy stakeholders. Work spans machine learning, computational biology, and biosecurity, requiring close collaboration with wet-lab scientists, AI developers, and security experts.

AI Security Institute London, United Kingdom
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Expression of Interest- Red Team

The Red Team at the AI Security Institute conducts cutting-edge research to identify and mitigate vulnerabilities in advanced AI systems. The team collaborates closely with leading AI companies, UK officials, and allied governments to inform deployment, research, and policy decisions, focusing on misalignment, misuse, and control of AI systems.

AI Security Institute London, United Kingdom £65,000 – £145,000 pa
On-site Permanent Clearance Required
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Expression of Interest- Cyber and Autonomous Systems Team

This role involves developing and running advanced evaluations of frontier AI models in cybersecurity and autonomous systems, using cyber ranges and CTF environments to assess capabilities and risks. You'll work on pre-deployment testing, validate novel model behaviors, and support UK government decision-making on AI governance. The work is research-driven, technically rigorous, and operates at the intersection of AI safety, security, and policy.

AI Security Institute London, United Kingdom £65,000 – £145,000 pa
Hybrid Permanent Clearance Required
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Software Engineer - Core Technology

This role involves developing and maintaining research-oriented software and infrastructure for evaluating frontier AI models, contributing to open-source projects like Inspect, and supporting high-impact research with real-world governance implications. Engineers work closely with world-class researchers and technical leads, building scalable systems for AI evaluation, model hosting, and agentic testing in a mission-driven environment. The role emphasizes technical excellence, collaboration, and autonomy in solving novel problems at the intersection of AI and security.

AI Security Institute London, United Kingdom £65,000 – £145,000 pa
Hybrid Permanent Clearance Required
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Computer Vision Engineer

A Computer Vision Engineer will lead high-impact AI initiatives in the defence sector, designing and deploying advanced computer vision systems that solve real-world challenges. The role involves technical leadership, mentoring, shaping strategic capability, and contributing to business development through cutting-edge research and production deployment. Work spans on-site client collaboration and flexible UK-based remote or office work, with a focus on ethical, reliable AI in sensitive environments.

Faculty AI London, United Kingdom
Hybrid Permanent Flexible Clearance Required
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Lead Software Engineer

Lead the technical direction of AI and machine learning projects, designing production-grade systems and guiding engineering teams across the full project lifecycle. Focus on delivering robust, scalable solutions for clients in energy, sustainability, and infrastructure sectors. Drive innovation through reusable tools, architectural leadership, and mentoring across multidisciplinary teams.

Faculty AI London, United Kingdom
Hybrid Permanent
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Lead Machine Learning Engineer

Leads the technical direction and delivery of complex machine learning projects, designing scalable and reliable AI systems while guiding architectural decisions and mentoring engineering teams. Focuses on building reusable solutions and driving innovation within regulated environments across financial services and other sectors. Works closely with clients and stakeholders to translate strategic goals into practical, high-impact AI implementations.

Faculty AI London, United Kingdom
Hybrid Permanent
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Senior Manager

This role involves leading the delivery of AI-powered agents for critical processes in life sciences and healthcare, acting as a bridge between technical teams and enterprise clients. The Senior Manager will scope high-value solutions, manage complex implementations, and influence product development through direct customer insights. It's an entrepreneurial position requiring strategic thinking, cross-functional collaboration, and deep stakeholder engagement in high-stakes environments.

Faculty AI London, United Kingdom
Hybrid Permanent
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Software Engineer

This role involves building and scaling the Frontier Decision Intelligence platform, focusing on creating robust APIs and SaaS user experiences using Python and TypeScript. The engineer will solve complex, real-world problems in sectors like healthcare and defence, working closely with data scientists and product teams to deliver production-grade AI solutions. The position emphasizes technical leadership, system architecture, and innovation in a cross-functional environment.

Faculty AI London, United Kingdom
Hybrid Permanent