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.
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 developing and implementing computational workflows for integrating and analyzing multi-omics datasets, including single-cell and spatial data. You will collaborate with ML researchers and experimental scientists to drive target discovery and validation, contributing to both internal and partnership programs in drug discovery.
This role involves leading the technical strategy for public sector AI projects, converting mission requirements into robust architectural roadmaps, and guiding on-site implementation. You will architect production-grade AI applications, ensure cloud infrastructure security and scalability, and mentor senior and junior staff to align with a cohesive technical vision.
This role involves developing and maintaining data science tools to support procurement activities, such as product cost roadmaps, cost controls, and cost reduction initiatives. The Data Scientist will work with multiple data sources, often of varying quality, to deliver actionable insights and partner closely with procurement teams.
This role involves designing and developing AI-enabled applications and services, building scalable ML solutions on GCP, and supporting the technical direction of AI initiatives. You will mentor other AI engineers, collaborate with digital products and business stakeholders, and contribute to architecture and proof-of-concept projects.
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.
As a Senior AI/ML Engineer, you will lead the research, design, and delivery of innovative AI/ML solutions for complex real-world problems in national security, defence, and commercial sectors. You will work closely with multidisciplinary teams, mentor junior engineers, and contribute to technical strategy and customer engagement.
This role involves leading the technical strategy for ML/AI use cases in the UK, coordinating ML engineering efforts across multiple teams, and providing technical consultancy. You will drive MLOps standards, collaborate with data science teams, and represent Capital One in external ML/AI forums.
This role involves leading a team to develop and deploy scalable software applications using generative AI models. Key responsibilities include rapidly developing new features, collaborating with researchers and product managers, and mentoring junior engineers. The role emphasizes end-to-end development and translating cutting-edge AI research into real-world products.
This role involves developing and deploying computer vision models for real-world applications, focusing on object detection and classification from image and video data. You will work closely with software and engineering teams to handle large datasets, optimise pipelines, and improve model performance in challenging scenarios.
As an Applied Data Scientist, you will work on complex problems in category management, leveraging advanced data science and machine learning techniques to deliver actionable insights for clients like Tesco. You will collaborate closely with client leadership to build scalable, reusable solutions that drive measurable value and innovation.
As a Senior Applied Data Scientist, you will lead and deliver complex data science projects, applying machine learning and human creativity to solve real-world business problems. You will work closely with the Tesco Personalisation team to develop and deploy scalable personalisation solutions, collaborating with a team of 30+ data scientists.
