Latest AI Security Institute Jobs

Applied Scientist - All Levels

Conduct foundational research to develop AI-driven physical simulation models for engineering and manufacturing applications. Translate complex physics and engineering problems into mathematical formulations, build and iterate machine learning models—particularly in neural operators, geometric deep learning, or generative modeling—and collaborate closely with engineers and customers to deliver real-world impact across advanced industries.

PhysicsX 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

Forward Deployed Software Engineer

Design and build full-stack applications that integrate AI-driven physics simulation models into real-world engineering workflows. Collaborate with data scientists and customers to develop, prototype, and deploy production-grade tools using Python, FastAPI, and cloud infrastructure. Work across industries such as aerospace, energy, and semiconductors, with opportunities for international travel to support on-site customer deployments and iterate on solutions based on direct user feedback.

PhysicsX United Kingdom

Hybrid Permanent

Principal CFD Engineer

As a Senior CFD Engineer, you will work closely with Data Scientists and Machine Learning Engineers to deliver high-fidelity simulations and address complex engineering challenges. Your role involves building multi-physics models, automating simulation pipelines, and collaborating with customers to integrate AI-driven solutions, while traveling globally to support on-site projects.

PhysicsX United Kingdom

Hybrid Permanent

Principal Data Scientist / Algorithm Engineer

This role involves developing and deploying AI-driven models for high-fidelity, multi-physics simulation in engineering and manufacturing. The Principal Data Scientist will lead technical initiatives, design deep learning architectures, and integrate predictive models with simulation systems. They will work closely with cross-functional teams and customers to solve complex engineering challenges, mentor junior staff, and drive R&D innovation across global sites.

PhysicsX United Kingdom

Hybrid Permanent

Principal Machine Learning Engineer

This role involves deploying and scaling machine learning models for high-fidelity engineering simulations, working directly with customers to integrate AI into production environments. The Principal ML Engineer will lead technical architecture, build robust data and inference pipelines using Python, PyTorch, and Kubeflow, and mentor teams across global customer sites. The position bridges advanced physics-based challenges with practical AI solutions in industries like aerospace, energy, and semiconductors.

PhysicsX United Kingdom

Hybrid Permanent

Senior Applied Engineer

Develop and scale AI-driven physical foundation models for engineering simulation, bridging research and production. Translate scientific prototypes into robust, distributed ML systems using high-performance computing and cloud infrastructure. Collaborate closely with researchers, engineers, and customers to solve real-world physics and engineering challenges.

PhysicsX United Kingdom

Hybrid Permanent

Senior Infrastructure Engineer, Research

This role involves building and operating scalable ML infrastructure for training and serving large physics models, with a focus on distributed training optimization, data pipeline performance, and model deployment. You'll work closely with research scientists and ML engineers in a high-impact R&D environment, solving systems-level challenges in GPU clusters and HPC workflows. The position emphasizes end-to-end ownership of research infrastructure, reproducibility, and developer experience for fast iteration.

PhysicsX United Kingdom

Data Processing Developer Technology Intern - 2027

This internship involves researching and developing GPU-accelerated techniques for deep learning, machine learning, and AI workloads. You will collaborate with technical experts to optimize complex algorithms, publish findings, and influence the design of next-generation hardware and software.

NVIDIA

Senior Solutions Architect, Higher Education and Research - Open Models and LLM

This role involves partnering with academic and research institutions to advance AI and HPC workloads using NVIDIA's accelerated computing platform. The Solutions Architect will guide researchers in integrating NVIDIA technologies into large-scale projects, particularly around large language models and open models. Responsibilities include hands-on technical engagement, driving research collaborations, delivering training, and translating research needs into product feedback for engineering teams.

NVIDIA Cambridge, United Kingdom

Senior Solutions Architect, Higher Education and Research - Open Models and LLM

This role involves partnering with academic and research institutions to advance AI and HPC initiatives using NVIDIA's accelerated computing platforms. The Solutions Architect will guide researchers in integrating NVIDIA technologies into large-scale AI projects, particularly around LLMs and open models, while contributing to joint research and technical content. Responsibilities include hands-on training, prototyping solutions, and bridging research needs with product development through direct feedback to engineering teams.

NVIDIA Reading, United Kingdom

Senior Machine Learning Engineer

A Senior Machine Learning Engineer will lead the deployment of AI models into production environments for engineering and physics simulations, working closely with customers and cross-functional teams. The role involves building scalable ML pipelines, mentoring engineers, and traveling to client sites globally. The position operates at the intersection of data science and software engineering, focusing on real-world impact in advanced industries.

PhysicsX London, United Kingdom

Principal Machine Learning Engineer

Design and lead the development of large-scale machine learning systems for real-time digital advertising, focusing on recommendation engines, audience targeting, and bidding optimisation. Work closely with the CTO and senior stakeholders in a high-growth AdTech environment, combining technical leadership with hands-on implementation across the full ML lifecycle. Drive MLOps platform improvements and shape the future of AI-driven customer acquisition solutions.

Harnham - Data and Analytics Recruitment France, United Kingdom €130,000 – €150,000 pa

Software Development Engineer in Test (QA Engineer)

This role involves designing, building, and maintaining robust automation frameworks for UI and API testing using TypeScript, Playwright, and Cucumber. You will work closely with software engineers and product teams to improve the quality and reliability of cloud-based AI products, investigating issues across the full technology stack.

Oliver James M53Ed, United Kingdom £50,000 pa

Principal Machine Learning Engineer

Lead the technical direction of large-scale machine learning systems in a high-growth AdTech scale-up, focusing on recommendation systems, audience targeting, and bidding optimisation. Work hands-on across the full model lifecycle while collaborating with the CTO and senior stakeholders. Operate in a real-time, high-scale environment with significant ownership and technical strategy responsibilities.

Harnham - Data and Analytics Recruitment Spain, United Kingdom €135,000 – €150,000 pa