Lead end-to-end technical delivery of custom AI agent solutions for enterprise clients in regulated industries, from scoping to production deployment. Bridge technical and business stakeholders, define MVPs, manage stakeholder expectations, and codify reusable playbooks. The role combines technical leadership with executive engagement to drive successful AI adoption in complex environments.
This role involves embedding directly with strategic enterprise customers to build and deploy production AI applications using Anthropic's Claude models. The engineer will develop technical solutions such as MCP servers, sub-agents, and agent skills while working within complex customer environments. They will also identify repeatable deployment patterns and act as a technical ambassador for Anthropic’s mission, requiring frequent travel and strong cross-functional collaboration.
Lead and shape the strategic direction of AI transformation programmes within the banking sector, working closely with C-suite clients to deliver impactful, responsible AI solutions. Build and grow a specialised banking practice by combining deep industry knowledge with technical excellence, driving both sales and delivery of high-impact projects. Mentor teams, influence industry thinking, and maintain executive confidence across complex, regulated environments.
Lead the development of advanced AI safety evaluations to assess risks in critical domains such as CBRN and cybersecurity. Conduct original research from concept to publication, shape safety methodology, and collaborate with frontier AI labs and government stakeholders. Focus on rigorous, scientifically grounded evaluation techniques including red-teaming, adversarial testing, and robustness measurement.
This role involves leading the technical direction of high-impact AI projects, particularly within financial services, by designing scalable machine learning systems and providing expert guidance across teams and clients. The engineer will architect complex data science frameworks, solve cross-cutting technical challenges, and influence company-wide strategy. Emphasis is placed on robust, production-grade AI solutions and advancing technical excellence in regulated environments.
Lead and deliver high-impact AI transformation projects for UK government and national security clients, bridging technical AI research with operational mission needs. Manage end-to-end project delivery, develop strategic proposals, and mentor cross-functional teams in a fast-evolving, high-stakes environment. Focus on responsible AI deployment, red teaming, and building trusted advisory relationships with senior stakeholders.
This role involves leading the development of an offline 3D reconstruction system for autonomous vehicles, defining technical architecture, and guiding the transition to a robust platform. You will work closely with cross-functional teams to align requirements and ensure high-quality data for driving decisions.
This role involves leading the iteration and improvement of Wayve's end-to-end driving model, which powers L2 autonomous driving systems for OEM partners like Nissan and Mercedes. Responsibilities include diagnosing and resolving high-impact issues, iterating on data and models, and collaborating with cross-functional teams to enhance the driving model's performance and compliance across different geographies and vehicle platforms.
This role involves providing regulatory expertise across diverse innovation projects, supporting multidisciplinary teams in meeting international quality and compliance standards. The specialist will interpret evolving regulations, contribute to quality management systems, and help shape regulatory strategies across medical and non-medical sectors. It offers broad exposure to global markets and emerging technologies within a consultancy environment.
This role involves designing and solving complex digital electronics challenges across diverse industries such as defence, healthcare, and telecommunications. You'll lead high-speed electronics development, work on cutting-edge FPGA and processor-based systems, and debug hardware using advanced tools and in-house labs. The role emphasizes innovation, technical ownership, and collaboration within multidisciplinary teams on novel, non-repetitive projects.
This role involves leading a team of four to drive technology innovation, assess and implement emerging technologies, and translate business strategy into actionable roadmaps. The focus is on improving efficiency, advancing capabilities, and ensuring resilience across the business, with a strong emphasis on governance and risk management.
The Business Change Manager will lead the people change, adoption, and implementation activities for an AI programme, ensuring successful embedding of AI-enabled ways of working. Key responsibilities include stakeholder engagement, communication, and business readiness activities, with a focus on maximising adoption and benefits realisation.
As a Software Engineer Intern, you will work on building user-facing products, scaling API platforms, designing data pipelines, and implementing scalable services. You'll have the opportunity to contribute to high-impact projects and collaborate closely with experienced team members.
This role involves developing and validating high-fidelity multiphase CFD and coupled CFD-DEM simulations for industrial applications across aerospace, energy, and manufacturing. The engineer will work directly with customers to build automated, scalable simulation workflows integrated with AI-driven surrogate models, using tools like Star-CCM+, OpenFOAM, or Fluent alongside Python and parametric CAD. Emphasis is placed on smart sampling, model validation, and mentoring within a collaborative, high-performance engineering culture.
This role involves crafting compelling, technically grounded narratives for a deep-tech AI simulation company, translating complex engineering concepts into accessible content across blogs, social media, events, and internal channels. You'll shape the company's public voice, collaborate closely with engineers and leadership, and build a scalable content operation while maintaining high creative and editorial standards.
