This role involves building and maintaining large-scale data processing pipelines and systems for CrowdStrike's Intelligence team. Responsibilities include designing, prototyping, implementing, and deploying systems, as well as interacting with internal customers to gather requirements and provide training.
This role involves building and maintaining large-scale data processing pipelines and systems for CrowdStrike's Intelligence team. Responsibilities include designing, prototyping, implementing, and deploying systems that support intelligence analysts and researchers. The role requires deep expertise in scalable, distributed architectures and the ability to work independently in a remote, geographically distributed team.
This role involves optimizing Energy simulation and AI workloads on NVIDIA GPUs, focusing on CUDA performance for seismic processing, reservoir simulation, and power grid modeling. The engineer will profile and tune multi-GPU, multi-node HPC applications, develop reference implementations, and collaborate with customers and internal teams to deliver scalable performance improvements on real-world production workflows.
This role involves building and deploying custom AI solutions on NVIDIA's NeoCloud and partner cloud platforms, with a focus on MLOps pipelines, distributed training, and inference optimization. The engineer will act as a technical advisor to both internal and external customers, diagnosing full-stack AI/ML system issues and contributing to open-source tools and reference architectures. A strong emphasis is placed on performance tuning, scalability, and deep collaboration with infrastructure and framework teams to advance AI capabilities.
Lead business development and technical delivery for AI-driven engineering simulation solutions in the aerospace and defense sector. Engage with senior engineering leaders to identify opportunities, scope projects, and drive adoption of the PX Platform. Shape product direction through customer feedback and represent the company at industry events, balancing strategic account growth with hands-on project oversight.
You will develop high-fidelity computational plasma models for semiconductor manufacturing processes such as etching and deposition, working directly with customers on-site to solve niche engineering challenges. You'll integrate simulations with AI workflows using tools like COMSOL and CFD-ACE+, validate models against real-world data, and collaborate with data scientists and ML engineers. The role involves global travel and combines technical leadership with mentoring junior colleagues.
Design and develop client-facing web applications that visualize insights from data science and machine learning models, collaborating with cross-functional teams in government and public sector projects. Build and maintain reusable frontend components and drive best practices across the organization. Work within secure environments requiring UK Security Clearance, with a focus on scalable, well-tested React and TypeScript applications.
This role involves leading the delivery of AI safety evaluations and red teaming projects, working closely with government and public sector clients. Responsibilities include translating cutting-edge AI safety research into actionable solutions, developing proposals, and mentoring team members in a high-impact, strategic environment.
This role involves owning the full post-training lifecycle for biological foundation models, from alignment to production deployment. Responsibilities include designing and implementing pipelines, building validation frameworks, and collaborating with ML and biology teams to ensure models are scientifically meaningful and aligned with real-world drug discovery problems.
This role involves leading a team of ML engineers while maintaining hands-on technical contributions to production-grade machine learning systems. The engineer will shape ML best practices, guide solution design, mentor junior staff, and lead cross-functional teams through the full lifecycle of AI/ML projects—from discovery to deployment and continuous improvement. A strong emphasis is placed on technical leadership, code quality, and clear communication with non-technical stakeholders.
Design and deploy production-grade computer vision systems using deep learning techniques such as CNNs and Vision Transformers, translating research into robust AI solutions for defence and security applications. Work across the full development lifecycle, from model design and training to deployment on cloud and edge platforms. Collaborate with researchers, engineers, and customers in a technically challenging environment focused on real-world autonomy and perception systems.
Build and iterate AI agents and automations using LLMs, agent frameworks, and platforms like AWS Bedrock, Microsoft, and Snowflake. Test frontier AI tools against real enterprise use cases and rapidly prototype solutions with measurable impact. Work cross-functionally across commercial, operations, and compliance teams to identify and validate high-value opportunities in a fast-paced innovation lab.
Design and build full stack applications that enable users to interact with advanced computer vision and AI systems, focusing on image and video analysis, AI visualisation, and integration with customer infrastructure. Develop intuitive interfaces and workflows in collaboration with engineers and end users, with influence over architecture and technology choices. Work primarily on-site in West London, with some remote flexibility.
This role involves leading project management for a multi-year osteoporosis drug discovery programme within a TechBio environment. You'll coordinate across interdisciplinary teams including wet lab biology, machine learning, and data science, translating scientific objectives into integrated delivery plans. The position requires managing cross-team dependencies, evolving workstreams, and governance processes in a discovery-stage R&D setting with high ambiguity and scientific complexity.
This role involves leading the development of an innovative software platform for industrial chimney design, integrating Eurocode-compliant design, advanced numerical modelling, and AI/ML-driven optimisation. You will work closely with academic experts, engineers, and software developers to establish a simulation-led design capability.
