Develop automated tools for large-scale data analysis, vulnerability research, and exploit development. Investigate 0-day and n-day vulnerabilities by analyzing patches, malware, and system logs. Collaborate across teams to support threat intelligence and publish findings in blogs or conferences.
Conducts advanced vulnerability research and exploit development, analyzing patches and malicious artifacts to identify 0-day and n-day vulnerabilities. Develops automated tools for large-scale data analysis and collaborates across teams to publish findings and support threat intelligence efforts. Focuses on reverse engineering, proof-of-concept creation, and rapid response to emerging threats.
Act as a technical advisor and trusted solutions expert, designing and demonstrating modern data and AI architectures on the Databricks platform. Lead customer workshops, build reference implementations, and support sales teams by translating business needs into scalable technical solutions. Drive adoption through hands-on prototyping, architecture guidance, and community engagement across the UK and Ireland.
Design and build high-performance backend systems for Databricks workspaces, focusing on scalability, low latency, and reliability at massive scale. Lead technical projects, mentor engineers, and contribute to core platform architecture for Delta Lake's write-path operations. Work on production systems handling exabytes of data with a focus on performance optimization and fault tolerance.
This PhD project focuses on developing a hybrid energy system that integrates gas turbines, carbon capture, biomass gasification, and solar thermal technologies. The research aims to reduce carbon emissions, improve grid stability, and support the UK's net-zero goals through thermodynamic modelling, AI-driven optimisation, and techno-economic assessments.
This role involves configuring, integrating, and operating AI platforms and services, ensuring they are secure, scalable, and reliable. You'll work closely with AI specialists, data scientists, and security teams to establish reusable environments, deployment processes, and monitoring systems.
Develop and optimize compilers for AI inference workloads on next-generation NVIDIA GPUs, focusing on kernel generation, computational graph optimizations, and hardware-software co-design. Collaborate with cross-functional teams to advance AI performance and scale across datacenters. Work at the forefront of compiler innovation for deep learning and AI architectures.
This role involves developing advanced compiler technologies for AI inference and training workloads, focusing on kernel generation and computational graph optimizations for NVIDIA's GPUs. You'll solve complex compilation challenges, collaborate on hardware-software co-design, and help scale AI workloads across datacenters. The position emphasizes innovation in MLIR-based frameworks and optimizing performance on cutting-edge GPU architectures.
This role involves embedding with investment, client, and support teams to understand their workflows and build AI-powered solutions that deliver tangible value. Responsibilities include scoping, prototyping, validating, and deploying AI solutions, as well as training and enabling teams to use AI effectively and responsibly.
Lead the development of advanced AI safety evaluations to assess risks in critical domains like CBRN and cybersecurity. Conduct original research from concept to publication, shape methodological strategy, and collaborate with frontier labs and government stakeholders. Focus on rigorous, scientifically grounded approaches to red-teaming, robustness testing, and evaluation design.
This role involves designing and architecting enterprise-scale AI, data, and automation solutions, working closely with customers to translate their needs into technical designs and implementations. You will focus on generative AI, RAG, vector databases, and multi-agent systems, using platforms like OpenAI, Azure OpenAI, and Google Gemini.
This role involves designing and architecting enterprise-scale AI, data, and automation solutions, working closely with customers to translate their requirements into implementable designs. The Solution Architect will focus on generative and agentic AI, RAG, vector databases, and enterprise search, leveraging platforms like OpenAI, Azure OpenAI, Anthropic, and Google Gemini.
This role involves designing and building production-grade AI software solutions for enterprise use within a regulated banking environment. The engineer will work on cutting-edge Generative AI applications such as intelligent document processing, fraud detection, and cross-language translation, turning ambiguous problems into scalable, auditable systems. Collaboration with product, risk, and engineering teams is central, with a strong emphasis on resilience, explainability, and technical leadership.
This PhD project focuses on developing a rigorous empirical framework to assess the security robustness, failure modes, and operational risks of AI decision engines in cyber-physical systems. The research will provide empirical evidence to support informed deployment decisions in safety-critical industries like transportation, energy, and manufacturing.
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.
