Future Tech Jobs
Future Tech Jobs
Research and develop GPU-accelerated techniques for deep learning and AI workloads, focusing on optimizing performance across modern CPU and GPU architectures. Collaborate with industry and academic experts to analyze and enhance complex algorithms, while contributing insights to shape future hardware and software design. Publish findings and engage with the developer community to advance AI computing solutions.
This role involves working closely with startups to optimize their AI systems, identify failure modes, and translate these insights into improvements for OpenAI’s research and products. You will collaborate on complex workflows, design evaluations, and build tools that enhance model behavior and customer value.
Build and operate secure backend systems and data pipelines for lawful data access request workflows, translating legal and operational requirements into auditable, privacy-preserving technical solutions. Focus on end-to-end ownership, least-privilege access, and improving the safety and efficiency of sensitive data handling processes with strong human oversight.
This role involves developing and automating test frameworks for a large-scale distributed system used across NVIDIA teams. You'll create test plans, automate validation for UIs, APIs, and performance, and integrate testing into CI/CD pipelines. A key focus is leveraging AI and LLMs to enhance test automation, including prompt engineering, fine-tuning models, and building AI-powered test generation tools, with strong collaboration across engineering groups to improve QA efficiency and product quality.
Lead and scale a security engineering team at the forefront of AI-driven drug discovery, designing and implementing a robust, AI-first security architecture for a digital biology platform. Translate complex scientific and business objectives into secure, automated systems while enabling high-velocity research in a regulated, interdisciplinary environment. Collaborate closely with ML researchers, medical teams, and Google/Alphabet stakeholders to secure cloud infrastructure, AI workflows, and sensitive life sciences data.
This role involves supporting the development and deployment of AI and machine learning models, working with large datasets, and collaborating with software engineers and product teams. You'll contribute to backend development, API integrations, and research new AI frameworks, ensuring responsible and ethical AI development.
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...
This role involves designing and assuring technical architectures for complex defence programmes, focusing on secure cloud, Kubernetes, and AI-enabled systems. You will work closely with stakeholders to translate emerging technologies into practical solutions, ensuring scalability, interoperability, and security in highly regulated R&D environments.
Salary: £35,000 - £43,000 p.a.Location: Old Street, LondonWorking pattern: Full-time, 37.5 hours per week (9am - 5.30pm)About the RoleAsylum Aid is seeking an Immigration and Public Law Solicitor to develop and lead a strategic public law caseload. You will work...
Lead AI research and development in a remote UK-based role, focusing on Large Language Models and AI agents within psychometrics and human assessment. Drive innovation by translating cutting-edge research into production-ready systems while mentoring technical teams and shaping AI strategy in a collaborative, research-led environment.
Develops advanced computer vision and machine learning algorithms for defence applications such as C-UAS, autonomous platforms, and electro-optic systems. Focuses on solving real-world perception challenges using deep learning, signal processing, and statistical methods. Works across the full algorithm lifecycle from research to deployment in real-time systems.
FPGA EngineerOnsite in Luton12 months£84.03 p/h UmbrellaAll candidates must be eligible to obtain SC ClearanceOur client, a prominent player in the Defence & Security sector, is currently seeking a skilled FPGA Engineer for a contract position. This role is pivotal...
AI Engineer (Machine Learning & NLP)Location: Fully Remote (UK)Salary: £60,000 - £70,000 + BenefitsType: PermanentEligibility: Applicants must have the right to work in the UK. Unfortunately, sponsorship is not available for this position.The OpportunityWe're looking for an AI Engineer to...
Design and build secure, scalable cloud infrastructure to support AI and ML workflows in cross-functional teams. Enable data scientists and ML engineers through reusable infrastructure-as-code and best practices. Work with clients to implement cutting-edge solutions using modern DevOps and cloud technologies.
