Future Tech Jobs
Future Tech Jobs
This role involves optimizing GPU-accelerated applications for energy simulation and AI workflows, focusing on CUDA performance, multi-GPU scaling, and benchmarking. You will work closely with customer and partner engineering teams to deliver measurable performance improvements and support deployment best practices.
This role involves optimizing GPU-accelerated applications for energy simulation and AI workflows on NVIDIA platforms. Responsibilities include CUDA performance optimization, profiling, and working with customer and partner engineering teams to deliver measurable speedups and scalable performance on multi-GPU and multi-node systems.
Why Faculty?We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about...
As a Platform Engineer, you will architect and maintain the infrastructure that enables the deployment of world-class AI solutions. You will work closely with the Applied AI team to build and refine data science, MLOps, and deployment tooling, ensuring high performance and seamless integration into diverse client environments.
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 leading the ML Engineering capability, designing and building ML pipelines, and implementing MLOps practices. You will work closely with Data Scientists to support and improve models in production, and build APIs and data products to enable ML solutions across the business.
This role involves leading the ML Engineering capability, designing and building ML pipelines, and delivering NLP and LLM-driven solutions. You will work closely with Data Scientists to support and improve models in production, and implement strong MLOps practices.
This role involves working on cutting-edge machine learning challenges at the intersection of biology and experimental science. You'll develop models that can handle sparse, noisy biological data, build trustworthy models for scientists, and guide better experimental design. The team values technical depth, collaboration, and a commitment to scientific truth.
As an AI Solution Architect, you will design and deliver AI solutions for government, financial services, and private sector clients. Your role involves creating production-grade systems that integrate AI services, focusing on scalable and secure architectures while ensuring compliance and responsible AI practices.
As Head of Medicinal Chemistry, you will lead a team of 25 chemists in London, driving the development of novel drugs using cutting-edge AI and machine learning. You will provide strategic direction, mentor team members, and collaborate closely with AI/ML scientists to accelerate drug discovery and clinical candidate nomination.
Isomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease.The future is coming. A future enabled and enriched by the incredible power of machine learning. A...
Computational Protein DesignerThe opportunityWe are seeking a Computational Protein Design Scientist to join our team working at the interface of generative AI and synthetic biology. Working closely with our Lead Computational Protein Designer, you will play a key role amongst...
This role involves building and maintaining MLOps frameworks to deploy, scale, and monitor machine learning models in highly secure, air-gapped environments. You'll work across engineering and data science teams to develop automated CI/CD pipelines, containerised applications, and production-grade ML systems using tools like GitLab, Docker, Kubernetes, MLflow, and Airflow. The role supports critical public sector digital transformation programmes with a focus on security and scalability.
This role involves leading the design and development of advanced software solutions in modelling and simulation, autonomy, and geospatial systems for high-impact sectors like defence, energy, and transport. You'll apply mathematical and computational techniques to solve complex real-world problems, contribute to bid proposals, and lead technical projects. The position requires deep expertise in C++ and Python, with hands-on work in synthetic environments, robotics, and digital twins, often in collaboration with government and defence clients.
This role involves designing, building, and deploying advanced machine learning models to solve complex operational challenges in real-world environments. You will work closely with a high-calibre founding team, industrial data, and customer environments to take machine learning systems from early validation through to scalable deployment.
