Future Tech Jobs
Future Tech Jobs
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define...
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define...
You will develop and optimize algorithms for NVIDIA's LPX inference and compiler stack, focusing on high-performance runtime and compiler components. Your work will involve benchmarking, profiling, and collaborating with hardware teams to influence future architectures and improve performance.
Senior Python EngineerWatford (Hybrid/Flexible Working Available)Up to £75,000 + BenefitsAbout the RoleWe are seeking an experienced Senior Python Engineer to join our growing engineering team in Watford. You'll play a key role in designing, building, and scaling high-performance applications that...
Package Description:At Avery Healthcare, we are all about supporting the people who care for our residents. We know how hard our teams work, and we’re here to celebrate and support you every step of the way.When you join us, you’ll...
Design and develop scalable applications using C# and .NET, with a focus on modernising legacy systems and building cloud-native solutions on Azure. Collaborate with product and engineering teams to shape technical strategy and improve software quality through best practices in CI/CD, security, and microservices architecture.
As a Technical Architect at DBT, you will lead the technical design and delivery of secure, user-centred digital services. You will work closely with development teams, contribute to portfolio-level strategy, and ensure alignment with business goals and standards. The role involves solving complex architectural challenges, providing technical governance, and mentoring peers.
As a Senior AI Engineer, you will design, build, and deploy production-grade generative AI systems, focusing on RAG pipelines, agentic workflows, and rigorous evaluation frameworks. You will provide technical leadership, mentor engineers, and collaborate closely with platform, product, and delivery teams to ensure AI systems are accurate, reliable, and grounded in business value.
Would you like to continue your career in a supportive, collaborative and innovative company?Do you enjoy working as part of an enthusiastic, passionate, and collaborative team?Join our Communications teamThe story of Softcat is one driven by an unprecedented ‘people-first' culture...
You will develop and optimize algorithms for NVIDIA's LPX inference and compiler stack, working at the intersection of large-scale systems, compilers, and deep learning. Responsibilities include building high-performance runtime and compiler components, benchmarking performance, and collaborating with hardware and software teams to influence future architectures.
This role involves leading client engagements in AI projects from discovery to delivery, working closely with both clients and technical teams. Responsibilities include running workshops, gathering requirements, defining milestones, and ensuring successful project outcomes. The role offers exposure to cutting-edge AI technologies and international projects.
This role involves leading retention and customer lifetime value initiatives for a global ecommerce subscriptions business. Responsibilities include owning the retention roadmap, driving a high-velocity experimentation program, identifying churn signals, and collaborating with cross-functional teams to deliver a consistent customer experience.
This role involves managing large-scale AWS and Azure cloud environments, focusing on automation, security, and operational excellence. Key responsibilities include leading disaster recovery efforts, automating infrastructure with Terraform and PowerShell, and collaborating with security teams to ensure compliance.
The Lead Engineer role in the AI Productivity Lab involves accelerating employee productivity and process automation through cutting-edge agentic co-working technologies. Responsibilities include building domain-specific agents, prototyping solutions, and collaborating with business teams to embed AI-driven tools into daily operations.
This role involves designing and building production-grade AI systems that integrate LLMs, RAG pipelines, vector databases, and agentic frameworks. You'll work on technically demanding challenges, create evaluation and observability frameworks, and implement retrieval systems, all while collaborating with clients and internal teams to deliver reliable AI products.
