Future Tech Jobs
Future Tech Jobs
We are looking to hire a senior CPU Compiler performance Engineer for an exciting and fun role at NVIDIA. We craft outstanding compilers that realise the potential of NVIDIA's CPUs designed for the world's largest AI and computing markets: https://www.nvidia.com/en-in/data-center/grace-cpu/....
Property ListerOn target earnings of £60,000 to £100,000.This is a tried and tested self-employed business model.The Directors currently also operate in a highly successful high street Estate Agency so they have experience in building a business.You will effectively be your...
Property ListerOn target earnings of £60,000 to £100,000.This is a tried and tested self-employed business model.The Directors currently also operate in a highly successful high street Estate Agency so they have experience in building a business.You will effectively be your...
Lead and develop a team of engineers while contributing technically to complex, cloud-native banking technology projects. Bridge product, client, and engineering teams to deliver scalable, secure solutions on a modern tech stack. Balance hands-on technical work with people management and strategic delivery in a fast-paced, high-ownership environment.
This role involves designing and building infrastructure tooling to support scalable, secure, and highly available deployment processes for a modern core banking platform. The engineer will develop automation, observability, and orchestration systems, working closely with data and streaming platforms in cloud environments. A key focus is enabling reliable operations for both internal engineers and bank SREs through robust tooling and CI/CD integration.
This role involves optimizing and deploying deep learning models for high-performance inference on GPU platforms, specifically within NVIDIA's Cosmos World Foundation Models. The engineer will profile and analyze workloads to eliminate bottlenecks, working at the intersection of deep learning and systems optimization. Collaboration with research scientists, software engineers, and hardware experts is central to advancing production-grade physical AI systems for applications like autonomous vehicles and robotics.
Design and deliver production-grade AI solutions integrating large language models, agentic systems, and Azure AI services for client-facing projects. Lead technical implementation across full-stack environments, architect LLM-powered features, and establish reusable patterns and tools. Mentor developers and contribute to research, prototyping, and technical proposals in a consultancy setting.
This role involves building and deploying large language models from the ground up as a key technical leader in a startup environment. The engineer will work remotely to design and scale an innovative AI platform, integrating advanced LLMs into production systems. The position offers significant autonomy and impact in shaping both technology and team direction.
This role involves leading the development and deployment of production-grade machine learning systems, with a focus on fine-tuning large language models and building scalable inference infrastructure. The engineer will own the full ML lifecycle, from data pipelines to deployment, while mentoring teams and integrating AI solutions into products. The position bridges research and engineering in a remote-first, technically driven environment.
About AnthropicAnthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers,...
About AnthropicAnthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers,...
dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our...
dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our...
This role involves leading the design of enterprise-scale AI, Generative AI, and intelligent automation solutions within a large organisation undergoing digital transformation. The architect will define end-to-end technical strategies, integrate cloud-native technologies, and ensure solutions meet security, scalability, and compliance standards. They will work closely with stakeholders to translate business needs into future-focused architectures and mentor other architects in emerging AI and automation practices.
This role involves designing and delivering AI-powered conversational analytics solutions that transform enterprise data into natural language insights. The Data Scientist will focus on building trusted, explainable AI systems using NLP, machine learning, and semantic modelling, while establishing governance and best practices for responsible AI adoption. Collaboration with data, BI, and technology teams is central to enabling AI-ready insights across a global organisation.
