Future Tech Jobs
Future Tech Jobs
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work...
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work...
Thought Machine's mission is bold – to properly and permanently rid the world's banks of legacy technology. To achieve this, we have developed the foundations of modern banking through core and payments technology which run natively in the cloud. What...
This role involves designing, developing, and implementing AI-powered applications to modernize financial operations and improve customer experiences. You will work across the full software development lifecycle, integrating AI models, and collaborating with product, engineering, and business teams to deliver scalable solutions.
This role involves joining a technology team before the launch of a new software application for the architecture and building design sector. You'll work closely with developers during final development stages, gain deep product knowledge, resolve bugs, develop features, and contribute to AI-powered enhancements using modern AI-assisted tools. The position blends development, technical support, and innovation in a hybrid or remote UK-based setup.
This role involves leading the design and deployment of production-grade machine learning systems for high-impact clients, particularly in the defence sector. The engineer will work on full lifecycle ML development, from architectural decisions to scalable infrastructure, while mentoring junior staff and shaping engineering standards. Collaboration with cross-functional teams and direct client engagement are central to the role.
As a Senior Machine Learning Engineer, you will lead the development and deployment of cutting-edge AI systems for diverse clients, focusing on high-impact ML systems, production-grade software, and scalable infrastructure. You will collaborate with cross-functional teams, mentor junior engineers, and act as a trusted technical advisor to clients.
This is a fantastic opportunity to join market-leading UK AI company, Luminance. Named in Tech Nation’s prestigious Future Fifty list and the recipient of two Queen’s Awards, Luminance is the world’s most advanced AI technology which is disrupting the legal...
This role involves working directly with enterprise customers to design and build production-grade data and AI systems on the Databricks platform. You'll lead architecture decisions, implement end-to-end solutions combining data pipelines, machine learning models, and applications, and embed with client teams to ensure technical success. The role emphasizes reusable frameworks, customer training, and influencing product direction through real-world feedback.
This role involves leading end-to-end technical delivery for enterprise customers, designing and building production-grade data and AI systems on the Databricks platform. The engineer will work hands-on to integrate data pipelines, machine learning models, and applications while guiding strategic architecture decisions. Embedded with customer teams, they will solve complex data challenges and contribute reusable frameworks to scale impact across the organisation.
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.
This role involves designing and building privacy-preserving generative AI systems within a regulated insurance context. The engineer will translate research into production-grade, secure AI components, focusing on data sovereignty, anonymisation, and compliant deployment. Work spans the full lifecycle from prototyping to integration in a multi-partner, multidisciplinary R&D environment.
This role involves designing and building scalable, high-performance microservices for Thought Machine's core banking platform, Vault. Engineers take full ownership of features from requirement to deployment, working across the stack with a strong focus on backend systems, automated testing, and production reliability. The role emphasizes collaboration with other teams and delivering configurable, client-focused solutions in a fast-paced, technically rigorous environment.
This role involves designing and building AI-powered features within a .NET environment, integrating commercial AI APIs, and establishing best practices for applied AI engineering. You will lead by example, mentor other engineers, and collaborate with product and engineering teams to deliver user-facing AI capabilities.
This role involves designing and maintaining data architectures, pipelines, and governance frameworks to support responsible AI adoption at scale within Barclays. The engineer will translate regulatory and risk requirements into technical implementations, working closely with data scientists and engineering teams to ensure secure, auditable AI systems. Emphasis is placed on policy-as-code, MLOps, and enterprise-wide governance integration across hybrid cloud environments.
