Design and build full-stack applications that integrate AI-driven physics simulation models into real-world engineering workflows. Collaborate directly with customers and technical teams to prototype, deploy, and iterate on high-impact tools across aerospace, energy, and advanced manufacturing. Work across backend services, APIs, and cloud infrastructure while contributing to core platform development.
Conduct foundational research to develop AI-driven physical simulation models for engineering and manufacturing applications. Translate complex physics and engineering problems into mathematical formulations, build and iterate machine learning models—particularly in neural operators, geometric deep learning, or generative modeling—and collaborate closely with engineers and customers to deliver real-world impact across advanced industries.
Investigate emerging malware and cyber threats to assess and enhance detection capabilities across the Falcon platform. Analyze threats across the full attack lifecycle, identify coverage gaps, and collaborate with engineering and data science teams to implement improvements using automation, AI, and machine learning. Support security validation programmes and respond to new threats with technical analysis and detection recommendations.
Lead the development of next-generation AI systems for cybersecurity, focusing on large language models and deep learning at scale. Design and implement production-ready AI solutions that process trillions of events daily. Provide technical leadership, mentor research teams, and shape AI strategy while driving innovation in reasoning, summarisation, and interactive systems.
Design and productionize state-estimation systems fusing GNSS, IMU, and odometry for autonomous vehicles. Lead technical architecture, algorithm development, and real-time deployment across diverse platforms. Provide mentorship and cross-team leadership in robotics and sensor integration.
This role involves building and operating scalable infrastructure to enable safe, governed access to AI models and agentic workflows across the company. The engineer will design runtime environments, implement observability and security controls, and create reusable platform components. It's a foundational position shaping how AI tools are adopted responsibly within a fast-moving AI organization.
Leads the development and scaling of a product engineering function focused on data-driven and AI-powered solutions for enterprise clients. Responsible for technical strategy, architecture, and end-to-end delivery across multidisciplinary teams in data science, data engineering, platform, and application development. Builds engineering excellence and mentors technical leaders while driving AI adoption and cloud platform evolution.
This role involves providing expert-level consultancy and strategic input to shape the development and evaluation of advanced generative AI systems. As a Research Advisor in the Human Frontier Collective, you'll collaborate on high-impact research, contribute to technical publications, and help design frameworks that translate domain expertise into AI model evaluation. The position offers flexible, part-time engagement with an interdisciplinary network of top-tier researchers and professionals.
Design and implement high-performance machine learning models using C++, CUDA, and PyTorch, with a focus on GPU acceleration and advanced AI applications. Work on cutting-edge research involving Transformers and computer vision to deliver real-world AI solutions. Collaborate within a skilled technical team on innovative projects in a hybrid London-based role.
A Principal Machine Learning Engineer will lead technical innovation in speech AI by developing and deploying advanced machine learning models, translating research into scalable production systems. The role involves mentoring engineers, shaping long-term ML strategy, and solving complex modelling challenges across the organisation. Work spans distributed training, inference optimisation, and MLOps best practices within a hybrid working environment.
Lead the development and deployment of advanced speech recognition models, bridging research and production. Drive technical vision, mentor engineering teams, and optimise large-scale ML systems for accuracy, speed, and scalability. Work across the full ML lifecycle with a focus on transformers, distributed training, and MLOps best practices.
This role involves leading the technical strategy and end-to-end delivery of AI and machine learning solutions within a global law firm. The Senior AI Engineer will design and implement scalable AI systems, manage a team of engineers, and collaborate with business stakeholders to align AI initiatives with strategic outcomes. The role requires deep expertise in ML frameworks, cloud platforms, and responsible AI deployment in a regulated environment.
Design and implement end-to-end AI/ML systems using generative AI, LLMs, and agentic frameworks to extract insights from biomedical literature and data. Focus on production-grade reliability, model quality, and collaboration with product and engineering teams to deliver user-facing features. Mentor junior engineers and contribute to a culture of technical excellence and knowledge sharing.
Lead the design and implementation of AI/ML solutions across the firm, managing both internal teams and external providers. Drive technical strategy, model development, deployment, and integration within scalable architectures. Collaborate with stakeholders to align AI initiatives with business outcomes and enterprise architecture.
This role involves collaborating on high-impact machine learning projects, evaluating and optimizing PyTorch models, and contributing to AI research publications. Fellows work remotely on flexible schedules, engaging with cutting-edge generative AI systems and interdisciplinary experts. The position emphasizes research, model interpretation, and advancing responsible, human-centered AI through technical evaluation and publication.
