This role involves designing, building, and maintaining scalable data processing systems for CrowdStrike's Intelligence team. You will work on large-scale distributed systems, interact with analysts, and ensure smooth operations of the systems you develop.
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.
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.
This role involves enabling global systems integrators and AI consulting partners to adopt NVIDIA's AI platform, including Agent Toolkit, Nemotron, and NIM. The Senior Solutions Architect will design and implement complex AI agent workflows, support the development of RAG pipelines, and collaborate with technical teams across partners and NVIDIA to deliver full-stack AI solutions. A strong focus is placed on evangelizing accelerated computing and Agentic AI through technical engagement and solution design.
Act as a trusted technical advisor to academic and research institutions, driving adoption of NVIDIA's accelerated computing and AI technologies. Collaborate with researchers to integrate NVIDIA frameworks into large-scale projects, deliver training and workshops, and translate research needs into prototypical solutions. Focus on multimodal and physical AI, with deep engagement in GPU-accelerated computing and joint research initiatives.
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.
