Latest UK roles, updated daily.
This role involves architecting and designing security services with global system integrators and telco partners, leveraging CrowdStrike's Falcon platform. Responsibilities include driving platform adoption, developing technical plans, and building relationships with partner teams across various security domains.
This role involves hands-on technical work in incident handling, malware analysis, and remediation across various platforms. The Sr. Analyst will develop and improve detection processes, produce high-quality reports, and provide consulting support to clients using CrowdStrike's Falcon platform.
This role involves leading complex engineering projects, mentoring junior engineers, collaborating with cross-functional teams to define technical requirements, and driving best practices in software development. The position requires a technical virtuoso who can take ownership and push the boundaries of what's possible.
This role involves working closely with Luminance’s product and AI teams to shape innovative legal technology solutions. You will act as an ambassador and strategic partner, ensuring maximum value for blue-chip customers like DHL, AMD, and LG.
This role involves leading the architecture and development of full-stack platforms that translate complex data science and AI insights into production-grade software solutions. The engineer will work closely with data scientists and product managers to build scalable, high-performance systems, particularly focused on visualising AI outputs. Emphasis is placed on technical leadership, mentoring junior engineers, and maintaining rigorous engineering standards across cloud environments.
Leads the creation and growth of a dedicated unit focused on AI and data-driven solutions for maritime defence clients, including the Royal Navy and NATO/AUKUS. Builds strategic relationships with senior stakeholders, drives high-value sales, and oversees delivery of transformative technology projects. Combines deep maritime domain expertise with commercial leadership to scale a new sub-business within the defence portfolio.
Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US.As AI continues to shape...
Develop and optimise cutting-edge AI models at the intersection of machine learning and drug discovery, translating research into scalable, production-ready systems. Work closely with scientists to build predictive and generative models using advanced deep learning techniques, with a focus on innovation in computational biology and chemistry. Contribute to a collaborative, interdisciplinary team advancing a digital biology platform for transformative medicine development.
Lead client service delivery for Synthesia's AI video platform, coordinating design projects and ensuring clients achieve maximum value. Bridge internal teams and external stakeholders to streamline multimedia content production and improve processes. Focus on scalable solutions, project execution, and client satisfaction in a fast-growing AI environment.
This role involves serving as a technical advisor and champion for the developer ecosystem in Healthcare and Lifesciences, accelerating workloads by integrating NVIDIA’s AI and computing platforms, and fostering co-innovation with partners. Responsibilities include technical enablement, ecosystem mapping, and cross-functional collaboration to drive adoption and solve real-world challenges.
This role involves leading technical partnerships with frontier AI labs to integrate NVIDIA's GPU and software stack into advanced AI workloads, from research to inference. The candidate will identify emerging technical requirements, optimize performance on NVIDIA platforms, and translate partner insights into product roadmap influence. It combines deep technical engagement with strategic collaboration across research, infrastructure, and product teams to drive joint innovation and scale AI systems.
Design and maintain scalable data platform components including pipeline orchestration, data transformation, and infrastructure automation. Collaborate with cross-functional teams to deliver secure, reliable platform features that accelerate data workflows and support data sharing. Promote platform adoption and contribute to engineering culture through mentoring and knowledge sharing.
This role involves building and operating scalable ML infrastructure for training and serving large physics models, with a focus on distributed training optimization, data pipeline performance, and model deployment. You'll work closely with research scientists and ML engineers in a high-impact R&D environment, solving systems-level challenges in GPU clusters and HPC workflows. The position emphasizes end-to-end ownership of research infrastructure, reproducibility, and developer experience for fast iteration.
This role involves developing high-fidelity multiphase CFD models for industrial applications in bioprocess and chemical engineering, integrating them with AI-driven simulation workflows. The engineer will work end-to-end on multi-physics simulations, from geometry and meshing to solver development and validation against experimental data. A key focus is automating and scaling CFD workflows to enable design optimisation and support machine learning pipelines in collaboration with clients across advanced industries.
This role involves developing and enhancing iOS SDKs for secure document capture as part of Entrust’s identity verification platform. The engineer will focus on building high-quality, accessible camera and image processing features using Swift, while collaborating with cross-functional teams to deliver a seamless end-user experience. Work includes SDK development, on-device machine learning integration, and improving test automation and CI/CD pipelines.
