Future Tech Jobs
Future Tech Jobs
NVIDIA is looking for an experienced HPC DevOps and Network Engineer to help us build the supercomputers and HPC clusters of the future. As a Senior HPC DevOps Engineer, you'll be a key player in groundbreaking advancements in artificial intelligence...
As a Senior HPC DevOps Engineer, you will design, implement, and maintain large-scale HPC and AI clusters, focusing on state-of-the-art monitoring, logging, and alerting systems. You will work closely with HPC, OS, GPU compute, and systems specialists to architect and develop performance platforms, streamline CI/CD pipelines, and automate complex networking and operational tasks.
This role involves building and evolving a scalable design system used across all Synthesia products, with a focus on making it AI-consumable. You'll design robust component APIs, ensure accessibility by default, and enhance developer experience through documentation and tooling. The position uniquely bridges human and AI-driven development, ensuring consistent, on-brand UIs are generated reliably whether by engineers or AI agents.
This role involves working on core enterprise platform systems, focusing on security, reliability, and scalability for large customers. You will contribute to new APIs, own long-term projects, and collaborate with product, security, and infrastructure teams to translate business requirements into technical solutions.
This role involves shaping AI-driven shopping experiences for international markets, with a focus on Brazilian Portuguese. The Senior Product Manager will lead content curation, prompt engineering, and evaluation frameworks to train and refine large language models. They will collaborate across global teams to ensure linguistically accurate, culturally relevant, and high-quality conversational experiences in Amazon’s Generative AI shopping tools.
As an Applied Scientist in the Alexa International Tech team, you will develop cutting-edge generative AI and speech synthesis technologies to enhance Alexa's natural and culturally relevant communication across multiple languages. Your work will involve designing and conducting experiments, prototyping new approaches, and collaborating with engineering teams to deploy these models at scale.
This role involves leading a team of data scientists to develop and deploy machine learning models that solve complex retail challenges like demand forecasting and routing optimization. The manager will mentor the team, collaborate with product and engineering, and ensure the technical quality and business value of ML systems.
This role involves leading a team of data scientists in developing and deploying machine learning models for logistics and retail challenges. The Data Science Lead will manage the entire ML lifecycle, from research to production, while mentoring the team and collaborating with product and engineering.
Leads the AI technology portfolio at Digital Catapult, defining strategic roadmaps and driving collaborative R&D programmes with academic and industry partners. Focuses on emerging AI fields such as agentic AI and post-LLM approaches, while translating research into practical applications. Mentors technical teams, secures funding, and influences UK AI policy and innovation ecosystems through thought leadership and stakeholder engagement.
This role involves conducting technical research to assess and mitigate chemical and biological risks posed by frontier AI systems. You'll design evaluations, develop benchmarks, and work on capability elicitation, threat modelling, and safeguards, translating findings for AI developers and government stakeholders. The work is interdisciplinary, combining machine learning, biosecurity, chemistry, and policy to produce actionable insights in a high-impact, mission-driven environment.
As an AI Engineer - FDE, you will work closely with customers to develop and deploy cutting-edge GenAI solutions, leveraging the latest techniques and tools. You will also collaborate with internal teams to shape strategic priorities and present at industry conferences, serving as a trusted technical advisor and thought leader.
This role involves developing AI-driven physical foundation models to solve complex engineering challenges in domains like aerospace, energy, and semiconductors. You'll translate physics-based problems into mathematical formulations and build scalable machine learning models—particularly using deep learning and probabilistic methods—for high-fidelity simulation. The position emphasizes research ownership, collaboration with engineers and customers, and publishing impactful work.
Develop and scale physical foundation models by bridging research and engineering, transforming prototypes into robust, optimised AI-driven simulation systems. Work across scientific computing, distributed training, and cloud infrastructure to deliver high-impact solutions for real-world engineering problems in collaboration with research teams, customers, and partners.
This role involves designing and evolving multi-agent AI systems that process brand analytics using advanced LLM pipelines. The engineer will build agent orchestration frameworks, implement eval and observability layers for LLM outputs, and maintain secure, scalable AWS infrastructure. It's a hands-on leadership position focused on shaping production AI systems with real-world impact.
About the Role:We are seeking a motivated and technically skilled AI Machine Learning Engineer to join our growing team based in Central London. This is an exciting opportunity for someone passionate about artificial intelligence and data-driven solutions to contribute to...
