Latest Natural Language Processing Jobs

Principal AI Developer Technology Engineer

This role involves researching and developing GPU-accelerated techniques for deep learning, machine learning, and other AI workloads. You'll collaborate with technical experts in industry and academia to deeply analyze and optimize complex AI and high-performance computing (HPC) algorithms for modern CPU and GPU architectures. The position also includes influencing future hardware and software design at NVIDIA and sharing optimization insights through blogs and conferences.

NVIDIA

On-site Permanent

Principal AI Developer Technology Engineer

Research and optimize AI workloads for GPU acceleration, focusing on deep learning, machine learning, and HPC algorithms across modern CPU and GPU architectures. Collaborate with experts in academia and industry to analyze and improve performance, while contributing to developer education and future hardware/software design. Publish findings and influence next-generation computing platforms through deep technical optimization and innovation.

NVIDIA Bristol, United Kingdom

Machine Learning Scientist

This role involves designing and prototyping generative machine learning models for protein design, with a strong focus on real-world biological applications. The scientist will build and evaluate models, collaborate across interdisciplinary teams, and iterate based on wet lab feedback. A significant emphasis is placed on high-performance code, scalable data pipelines, and staying current with advances in ML and synthetic biology.

Latent Labs London, United Kingdom, United Kingdom

Hybrid Permanent

Customer Value Partner, Mid-Market

Acts as the primary point of contact for enterprise clients post-sale, managing the end-to-end customer journey to ensure successful program launches, measurable business impact, and long-term partnership growth. Leads executive reviews, aligns internal teams, and identifies expansion opportunities using data-driven insights. Operates at a strategic level with senior stakeholders while maintaining rigorous CRM and delivery standards.

Multiverse London, United Kingdom

Hybrid Permanent Clearance Required

Principal Machine Learning Engineer

This role involves leading the technical direction of complex AI systems, particularly within financial services, by designing scalable machine learning architectures and providing expert guidance across projects. The Principal Machine Learning Engineer will solve cross-cutting technical challenges, influence company-wide strategy, and ensure robust, innovative solutions are delivered. Emphasis is placed on architectural leadership, hands-on system design, and translating advanced data science into real-world impact.

Faculty AI London, United Kingdom

Hybrid Permanent

AI Infrastructure Associate Engineer (3 x FTE)

You will work on building and operating the infrastructure and compute platforms for the Isambard-AI supercomputing centre, collaborating with researchers to design and optimize systems for leading-edge AI research. The role involves using tools like Python, Rust, Kubernetes, and Terraform to manage large-scale, highly available services.

University of Bristol Bristol, South West England, United Kingdom £44 – £50 pa

Permanent

Deployment Strategist

As a Deployment Strategist, you will build and maintain relationships with key customer stakeholders, understand their engineering challenges, and translate them into product opportunities. You will own the customer onboarding journey, support delivery teams, and identify new areas for growth and innovation.

PhysicsX United Kingdom

Member of Technical Staff

This role involves developing and prototyping generative machine learning models for protein design, with a strong focus on real-world biological applications. You'll work closely with biologists and engineers to build scalable data pipelines, optimize model performance, and iterate based on wet lab feedback. The position emphasizes research excellence, production-grade code, and rapid experimentation in a cross-disciplinary environment.

Latent Labs London, United Kingdom, United Kingdom

Hybrid Permanent

Delivery Engineer

A customer-facing Delivery Engineer who bridges advanced AI simulation technology with real-world engineering challenges across industries like aerospace, energy, and semiconductors. This role involves owning the customer onboarding journey, translating technical needs into product opportunities, and working closely with cross-functional teams to ensure delivered solutions create measurable value. The position emphasizes strategic account growth, deep technical understanding, and close collaboration with both clients and internal engineering teams.

PhysicsX United Kingdom

Product Manager, New Product Bet (Principal-level)

Lead the strategy and development of a new AI-driven product that assesses real user readiness through dynamic, real-time scenarios, moving beyond traditional training completion metrics. Work closely with engineering, design, and commercial teams to define product direction, success metrics, and deliver a compelling enterprise solution. Mentor junior PMs and shape product practice across the organisation while operating in a high-autonomy, 0-to-1 environment.

Synthesia London, United Kingdom

Hybrid Permanent

Principal AI Developer Technology Engineer

Research and develop techniques to GPU-accelerate AI workloads in deep learning, machine learning, and HPC domains. Collaborate with industry and academic experts to optimize complex algorithms for modern CPU and GPU architectures. Publish optimization insights and influence next-gen hardware and software design at NVIDIA.

NVIDIA Reading, United Kingdom

Principal AI Developer Technology Engineer

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.

NVIDIA

Principal AI Developer Technology Engineer

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.

NVIDIA Germany

Developer Technology Engineering Intern - Compute Performance

You will research and develop GPU-acceleration techniques for high-performance computing applications in scientific computing, computational engineering, and data science. This involves optimizing algorithms, collaborating with application developers, and working with NVIDIA's architecture and research teams to influence future GPU designs.

NVIDIA Bristol, United Kingdom