Future Tech Jobs
Future Tech Jobs
You will architect and optimize high-performance AI inference systems, focusing on GPU kernel optimization, compiler development, and benchmarking. Collaboration with cross-functional teams and publishing original research are key aspects of this role.
This role involves optimizing and deploying deep learning models for high-performance inference on GPU platforms, working closely with research scientists, software engineers, and hardware experts. The focus is on improving inference speed, profiling deep learning workloads, and removing bottlenecks for NVIDIA's Cosmos platform, which accelerates physical AI development for autonomous vehicles, robots, and video analytics AI agents.
This role involves defining and driving the strategy for Vault Core, a flagship core banking platform, ensuring it remains an industry leader in configurability, performance, and resilience. You will work closely with engineering leadership, champion the product externally, and represent the needs of major banks internally.
This role involves developing and implementing computational workflows for integrating and analysing multi-omics data, designing statistical models, and collaborating with ML modellers and experimental teams to drive transformative insights in drug discovery. The position is embedded within the Single Cell and Spatial Omics team, offering a unique opportunity to work on cutting-edge projects with a focus on patient impact.
This role involves building AI-driven features like personal assistants and chatbots, developing user-focused and backend solutions using deep learning, and collaborating with cross-functional teams to solve complex problems and drive innovation at Revolut.
Our client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy.They’ve invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of...
As a Research Engineer, you will work at the intersection of research and engineering, developing and deploying ML and computational systems. You will collaborate with interdisciplinary teams to solve complex data and software engineering challenges, improve research workflows, and optimize high-performance compute environments.
This role involves designing and building scalable data pipelines, integrating data from multiple sources, and developing AI and machine learning models. You will work closely with analysts and business stakeholders to translate requirements into robust technical solutions, while contributing to data quality, governance, and performance optimization.
This role involves leading the design and development of reliable, multi-step agentic systems and long-horizon reasoning frameworks for national security and public policy. You will conduct applied research to solve unique challenges in sovereign AI, focusing on system reliability, safety, and performance in high-stakes environments.
STAFF AI ENGINEER£200,000LONDONThis is a rare opportunity to join a rapidly scaling, PE-backed data platform business and take ownership of building a next-generation AI-native data layer. Working directly with the Group CTO, you'll play a pivotal role in shaping both...
This role involves collaborating with public sector clients to build and deploy full-stack AI applications that solve complex challenges. Responsibilities include scoping projects, architecting production-grade applications, managing cloud infrastructure, and working closely with design, product, and data teams.
This role involves designing, developing, and deploying AI-integrated solutions using modern full-stack technologies and Azure AI services. You will work closely with clients to understand their requirements and translate them into functional software, while also contributing to internal AI tool development and knowledge sharing within a small, agile team.
This role involves working in a multidisciplinary team to solve complex problems using advanced analytics and machine learning. You will design and refine models to predict faults in wind turbines, develop probabilistic models for component health, and turn complex outputs into actionable insights for operational teams.
This role involves leading the design and implementation of modern data platforms, including data pipelines, warehouses, and lakes. You will focus on AI-ready systems, governance, and collaboration with cross-functional teams to drive strategic data initiatives.
This role involves designing and deploying production-grade AI systems using Generative AI, including Retrieval-Augmented Generation (RAG), agentic workflows, and LLM-powered applications. The candidate will own the full AI lifecycle, from solution design to deployment and optimisation, working closely with engineering and product teams in a cloud-native environment. The role focuses on building scalable microservices and APIs, with strong emphasis on MLOps and modern AI architecture.
