Future Tech Jobs
Future Tech Jobs
We are now looking for a Senior CPU Performance Developer Technology Engineer. NVIDIA is seeking an outstanding computer scientist to join its Compute Developer Technology (Devtech) team. This role focuses on research and development techniques to optimize key Cloud and...
We are now looking for a Senior CPU Performance Developer Technology Engineer. NVIDIA is seeking an outstanding computer scientist to join its Compute Developer Technology (Devtech) team. This role focuses on research and development techniques to optimize key Cloud and...
This role involves leading the technical direction and delivery of complex multi-physics simulations, working closely with Data Scientists, Machine Learning Engineers, and customers. Responsibilities include building and validating complex models, integrating experimental data, and optimizing simulation workflows. The role also involves mentoring junior colleagues and traveling globally to support customer projects.
As a Senior Simulation Engineer - Electromagnetics Specialist, you will work closely with Data Scientists, Machine Learning Engineers, and customers to deliver high-fidelity simulations. Your responsibilities include setting up and interpreting electromagnetic models, collaborating on AI-driven tools, and solving complex engineering challenges across various industries.
This role involves designing and implementing biological screening cascades for drug discovery programs, with a focus on in-vitro and cellular pharmacology. The candidate will work cross-functionally with AI, machine learning, and drug design teams to generate high-quality biological data, inform clinical development paths, and advance projects in oncology, immunology, and partnered portfolios. A key responsibility is collaborating with CROs and integrating mechanistic pharmacological insights into digital drug discovery workflows.
This role involves leading the design of novel small molecule therapeutics using cutting-edge AI and computational chemistry. You will define the scientific direction, manage drug discovery programs, and mentor a high-performing team to deliver life-changing medicines.
A Forward Deployed Engineer at OpenAI works directly with customers to deploy and refine cutting-edge AI models in production environments. The role involves full-stack development, rapid prototyping, and solving high-impact technical challenges under ambiguity. Engineers act as a bridge between customer needs and internal teams, shaping product evolution through real-world feedback.
This role involves leading end-to-end technical deployments of AI systems for enterprise customers, translating business goals into technical roadmaps, and driving adoption through close collaboration with customer teams. The Technical Deployment Lead operates at the intersection of engineering, product, and customer success, ensuring complex AI solutions are delivered on time and deliver measurable impact. It emphasizes prototyping, change management, and feeding real-world insights back into OpenAI’s product and research roadmap.
This role involves developing machine learning algorithms for radio frequency (RF) signal detection and exploitation in electronic warfare contexts, with a focus on real-world defence applications. The researcher will design novel AI-driven solutions for congested electromagnetic environments, publish high-quality research, and contribute to national security through proof-of-concept development. Work is conducted in a hybrid setting with minimal office attendance, supported by a strong professional development framework.
Design and build privacy-preserving generative AI systems within a regulated insurance context, focusing on secure data handling, model deployment, and integration with research outputs. Work across the full ML lifecycle in a multi-partner environment, translating experimental AI into production-ready, compliant solutions.
This role involves designing and building privacy-preserving generative AI systems within a regulated insurance context. The engineer will translate research into production-grade, secure AI components, focusing on data sovereignty, anonymisation, and compliant deployment. Work spans the full lifecycle from prototyping to integration in a multi-partner, multidisciplinary R&D environment.
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.
The role involves analysing resident survey responses and engagement data using AI tools to identify key themes and insights. You will produce clear summaries, briefing materials, and support stakeholder discussions as part of a test-and-learn initiative to embed community insight into decision-making. The work is project-based, requiring critical evaluation of AI-generated outputs and close collaboration with the project team.
This role involves leading the design and development of reliable, multi-step agentic systems and long-horizon reasoning frameworks for national security and public policy. You will conduct applied research to solve unique challenges in sovereign AI, focusing on system reliability, safety, and performance in high-stakes environments.
This role involves providing high-level application support for both legacy and modern cloud-based clinical imaging platforms used in global clinical trials. You'll troubleshoot complex technical issues across environments, develop scripts for automation and data management, and contribute to feature development. The position balances day-to-day platform maintenance with longer-term improvements, requiring collaboration with developers and stakeholders to ensure system reliability and evolution.
