Future Tech Jobs
Future Tech Jobs
This role involves designing, implementing, and maintaining large-scale HPC/AI clusters, managing job/workload schedules, and developing CI/CD pipelines. You will work closely with HPC, OS, GPU compute, and systems specialists to architect and optimize performance platforms, and support R&D activities.
This role involves designing, implementing, and maintaining large-scale HPC and AI clusters, working with the latest GPU and deep learning technologies. You will collaborate with researchers, developers, and customers to optimize system performance and develop new solutions.
RDQ326R15The Incident Response team's mission is to respond to security threats, incidents and investigations to protect our customers, employees and enterprise data in a fast, efficient and standardised manner. We're a tight-knit team of security incident responders and incident handlers...
About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries....
Member of Technical Staff, Applied AIThe opportunityWe are looking for a Member of Technical Staff with deep expertise in generative modelling to work at the interface between our frontier models and the customers who depend on them. You will join...
Forward Deployed AI EngineerThe opportunityWe are looking for a Forward Deployed AI Engineer to serve as the critical bridge between Latent Labs’ frontier generative models and the customers who rely on them. You will work directly with pharmaceutical and biotech...
As a Software Engineer focused on GPU infrastructure, you will play a key role in designing, optimizing, and managing the large-scale AI/ML infrastructure that powers Isomorphic Labs' groundbreaking research. You will collaborate with machine learning experts, biotech researchers, and cross-functional teams to ensure the reliability and efficiency of our AI models and cloud infrastructure.
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 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 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 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.
As an AI Engineer, you will collaborate with cross-functional teams to design, develop, and deploy data pipelines, machine learning models, and AI-enabled applications. Your role involves working with modern data and AI technologies to deliver scalable, production-ready solutions that drive business value through analytics, automation, and digital transformation.
As a Domain Consultant for SASE, you will provide technical expertise and guidance to customers on network security and zero trust solutions. You will collaborate with sales teams, present to customers, lead demonstrations, and architect solutions to strengthen and simplify their security posture. This role involves staying ahead of industry trends and ensuring technical validation projects are successful.
As a Senior AI Platform Engineer, you will design and build agentic AI workflows that integrate into an existing product platform, enabling intelligent design changes across tools and documentation. You will work closely with product, design, and engineering teams to embed AI capabilities and make architectural decisions around cloud infrastructure and cost optimization.
