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.
Lead a team of data scientists focused on applying machine learning and large language models to cybersecurity challenges, including malware detection, behavioral threat analysis, and AI-driven security automation. Translate business needs into technical research objectives and guide the development of production ML systems at scale. Collaborate with security researchers, engineers, and product teams to solve complex, real-world adversarial problems using cutting-edge AI techniques.
This role involves leading the design and implementation of complex, cloud-native systems within a high-growth fintech environment. The engineer will drive technical direction, mentor senior teams, and solve ambiguous, large-scale problems across distributed services. Emphasis is placed on operational excellence, cross-team collaboration, and advancing Thought Machine's core banking platform through innovation in architecture and developer practices.
This role involves leading the design and implementation of complex, cloud-native banking systems, driving technical direction across engineering teams, and mentoring senior engineers. The engineer will solve highly ambiguous problems, improve operational processes across production environments, and help shape company-wide standards in security, scalability, and developer velocity using modern technologies including AI tools. Collaboration with leadership and cross-functional stakeholders is key to delivering long-term platform vision.
This role involves end-to-end ownership of advanced driver assistance system (ADAS) features such as Automatic Emergency Braking and Lane Keeping Assist, ensuring they meet OEM requirements and are delivered to specification. The Feature Owner collaborates closely with engineering, product, and customer teams to define scope, set performance targets, and support validation across the development lifecycle. The position emphasizes technical engagement, cross-functional coordination, and strategic roadmap alignment within a fast-paced, innovation-driven environment.
This role involves end-to-end ownership of specific ADAS features such as TFL, Blind Spot Monitoring, and Cross Traffic Alert, ensuring they meet OEM requirements and are delivered to specification. The Feature Owner collaborates closely with engineering, product, and external partners to define scope, set performance targets, and support validation. The position requires deep technical understanding of ADAS systems, strong cross-functional coordination, and alignment of customer needs with Wayve’s strategic roadmap.
This role involves building and scaling the infrastructure that powers an AI-native platform for drug discovery. The engineer will manage Kubernetes clusters, cloud infrastructure, and ML pipelines, ensuring reliable and secure deployment of AI models in a production environment. Collaboration with ML, backend, and product teams is central to enabling scalable, in-silico biological experimentation.
This role involves applying advanced AI, machine learning, and data science techniques to solve complex challenges within UK defence, security, and government sectors. You'll work across the full project lifecycle—from prototyping to deploying scalable, enterprise-grade AI solutions—while collaborating directly with clients and contributing to high-impact national programmes. The role emphasizes innovation in areas like Generative AI and transformer models, alongside mentoring teams and supporting business development in a security-cleared environment.
Lead and mentor a team of data scientists while driving advanced AI/ML model development and data exploitation on critical national systems. This role combines hands-on technical delivery with strategic leadership to enhance data science capabilities using machine learning, geospatial analytics, and custom algorithm development in a high-security environment.
This role involves designing and implementing biological screening cascades for drug discovery programs, with a focus on biophysical, biochemical, and cellular assays. The scientist will bridge computational predictions with experimental validation, working closely with AI/ML teams and CROs to advance oncology and immunology projects from early discovery to clinical development. Key responsibilities include guiding assay development, interpreting complex pharmacological data, and supporting lead optimization across multiple therapeutic areas.
This role involves leading translational biology strategies in oncology and immunology, bridging AI-driven drug design with experimental validation. You will design in vivo pharmacology studies, develop biomarker strategies, and manage CRO partnerships to generate robust data for clinical translation. The position plays a key role in advancing drug candidates from discovery through to clinical development by integrating biological insights with machine learning predictions.
Design and optimise transaction monitoring systems to detect financial crime risks across Barclays UK and International. Develop statistical and machine learning models using tools like SQL, Python, and Spark, while ensuring compliance with AML regulations and governance standards. Collaborate with cross-functional teams to enhance detection capabilities and support strategic financial crime risk initiatives.
This role involves conducting fundamental and applied research in artificial intelligence, with a focus on reinforcement learning and probabilistic machine learning to optimise industrial manufacturing processes for injectable medicines. The researcher will develop novel, robust AI methods applicable to real-world scenarios, publish in top-tier venues, and collaborate across disciplines such as chemistry, life sciences, and physics. The position offers opportunities to contribute to funding proposals, industry partnerships, and independent research within the Centre for AI’s strategic framework.
AWS Data Platform Architect - London (Hybrid) - AWS - Databricks - Up to £95,000We're working with a leading technology consultancy that is investing heavily in its Data & AI practice and looking to add an experienced AWS Data Platform...
This role involves driving new business sales in cybersecurity across Central and Eastern Europe, owning the full sales cycle from prospecting to closing. You'll engage with enterprise clients, present AI-powered threat defense solutions to CISOs and security teams, and collaborate with technical experts and SDRs. The position supports remote work from Poland or London and emphasizes relationship-building in a high-growth, tech-driven environment.
