Future Tech Jobs
Future Tech Jobs
This role involves researching and developing GPU-accelerated techniques for AI and high-performance computing workloads. You'll collaborate with experts in industry and academia to optimize complex algorithms on modern CPU and GPU architectures, while contributing to the design of future hardware and software platforms. The position emphasizes deep technical optimization, publication of findings, and engagement with the developer community.
Research and develop GPU-accelerated techniques for deep learning, machine learning, and AI workloads. Collaborate with technical experts in industry and academia to optimize complex AI and HPC algorithms on modern CPU and GPU architectures. Publish findings in developer blogs or conferences and influence next-generation hardware and software design at NVIDIA.
The role involves building and operating end-to-end data pipelines for high-fidelity CFD simulations, from geometry preprocessing and orchestration to post-processing and delivery of ML-ready datasets. You'll ensure data quality, traceability, and performance at scale while working closely with research scientists and ML engineers in a high-performance computing environment. The position uniquely combines simulation engineering, data infrastructure, and AI/ML integration within a cutting-edge deep-tech context.
A Machine Learning Engineer will collaborate with simulation engineers, data scientists, and customers to solve complex physics and engineering challenges using AI. The role involves building scalable, reliable ML data pipelines, working with 3D point-cloud and mesh data, and translating R&D into reusable tools and products. Frequent customer site visits across multiple continents are expected to support on-site solution development and deployment.
Leads high-stakes AI transformation projects for UK government national security partners, combining commercial strategy with technical delivery. Bridges advanced AI research and operational mission needs, managing multidisciplinary teams and shaping proposals for strategic use cases. Focuses on responsible AI deployment, red teaming, and safety evaluation in a rapidly evolving domain.
This role involves securing AI-first drug discovery platforms by designing risk frameworks, protecting ML model artifacts, and implementing security controls across distributed training and inference systems. The engineer will lead AI-specific incident response, develop guardrails for LLMs and autonomous agents, and ensure compliance with global regulations like the EU AI Act. Close collaboration with ML researchers and platform teams is essential to embed security into the full AI lifecycle while advancing AI safety standards.
Lead technical strategy and R&D in AI safety, building and mentoring a high-performing team focused on red teaming, model evaluation, and mitigation research for frontier AI systems. Drive thought leadership, publish in top-tier venues, and shape global AI safety practices in collaboration with leading labs and governments. Translate cutting-edge research into scalable, real-world safety solutions.
Work on AI model optimisation and hardware-software co-design to integrate FPGA-based AI-ISP accelerators with NVIDIA's Holoscan Sensor Bridge for low-latency edge computing. Develop and evaluate full systems in object detection applications using PyTorch and GPU/FPGA technologies. Collaborate with academic and industrial teams to advance energy-efficient AI signal processing pipelines.
Develop and evaluate advanced optimisation, control, and machine learning techniques—such as reinforcement learning and physics-informed ML—for trajectory control in complex physical systems. Conduct simulations, experimental validation, and publish results in top-tier journals and conferences. Work within a multidisciplinary research group focused on intelligent systems and human–computer interaction.
This is a fantastic opportunity to join market-leading UK AI company, Luminance. Named in Tech Nation’s prestigious Future Fifty list and the recipient of two Queen’s Awards, Luminance is the world’s most advanced AI technology which is disrupting the legal...
This role involves developing and maintaining large-scale research computing infrastructure, supporting HPC, AI, and data-intensive workloads. The engineer will work closely with researchers and technical teams to design and improve research platforms, lead technical initiatives, resolve complex issues, and contribute to infrastructure strategy and funding efforts.
This role involves supporting and developing large-scale research computing environments, including HPC, AI, and data-intensive infrastructure. The engineer will work closely with researchers to deliver secure, reliable, and scalable technical solutions, while also contributing to automation, documentation, and user training. The position supports advanced computing platforms in a hybrid working environment.
Design and deploy production-grade LLM-based applications, integrating AI into established software products. Work across structured, unstructured, and streaming data within a research-informed engineering team. Focus on scalable deployment and engineering best practices in a complex, high-impact domain.
Location: UK Wide (Hybrid/On-site as required)Outside IR35 - Rate £50-£80 p/hSecurity Clearance: Must be eligible to obtain and maintain UK Security Clearance (SC)RC Fornax is looking for a Software Engineer – Advanced Signal Processing & AI. This is an exciting...
This role involves managing technical research programmes focused on evaluating AI capabilities in cybersecurity and autonomous systems. The Technical Programme Manager will work closely with researchers and government partners to design and deliver high-impact, empirical studies that inform national policy. The position requires translating ambiguous research questions into structured, actionable plans while maintaining rapid delivery pace within a sensitive, high-stakes domain.
