Latest AI Research Scientist Jobs

Senior Deep Learning Engineer

This role involves optimizing and deploying large-scale deep learning models for high-performance inference on GPU platforms, specifically within NVIDIA's Cosmos World Foundation Models platform. The engineer will work at the intersection of deep learning and systems optimization, profiling workloads, removing bottlenecks, and ensuring efficient deployment across diverse hardware. The position requires strong expertise in PyTorch, inference optimization frameworks, and GPU performance tuning.

NVIDIA PLN 221,250 – PLN 507,000 pa

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

Applied Scientist, Alexa International Tech

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.

Amazon London, United Kingdom

On-site Permanent

Data Scientist

This role involves leading the development and deployment of AI-driven models for high-fidelity, multi-physics simulation in engineering and manufacturing. The Senior Data Scientist will work closely with simulation engineers and customers to preprocess complex data, build deep learning models, and integrate them into production-ready pipelines. The position emphasizes technical leadership, cross-functional collaboration, and on-site customer engagement to deliver practical, impactful solutions across advanced industries.

PhysicsX United Kingdom

Hybrid Permanent

Data Scientist

This role involves applying advanced data science and machine learning techniques to solve complex challenges across high-impact public and private sector projects. You will conduct research, develop cutting-edge solutions, and engage in the full data science lifecycle, from data collection to model deployment, while working in a highly secure environment.

Searchability NS&D Cheltenham, United Kingdom £45,000 – £75,000 pa

Hybrid Permanent Clearance Required

Postdoctoral Fellow - Evolution and Generative AI

This role involves developing a generative AI framework to design novel metabolic systems by integrating evolutionary and phenotypic data. The postdoc will build protein/genomic language models, create computational pipelines linking sequence variation to metabolic function, and collaborate closely with experimentalists to establish a design-build-test-learn cycle. The position is embedded in a highly collaborative, interdisciplinary research environment focused on pioneering biomedical science.

The Francis Crick Institute London, United Kingdom £47 pa

Contract

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

Applied Scientist I

This role involves developing and training advanced machine learning models for digital identity verification, with a focus on areas like deepfake detection, bias mitigation, document understanding, and efficient on-device ML. The candidate will conduct research, build multimodal models using synthetic data, optimise training performance across GPUs, and collaborate with engineering teams to deploy solutions globally. Work includes creating large-scale datasets, benchmarking vision-language models, and improving fairness in biometric systems.

Entrust London, United Kingdom

Senior Specialist Solutions Engineer (AI/ML)

This role involves leading the design of production-grade machine learning and GenAI solutions on the Databricks platform, with a focus on MLOps, RAG architectures, and LLM deployment. The engineer will act as a technical advisor during sales cycles, build MVPs, and support customers in implementing AI workflows. Responsibilities also include creating technical content, mentoring teams, and driving platform adoption through thought leadership and community engagement.

Databricks London, United Kingdom

On-site Permanent

Senior Software Engineer

This role involves leading backend and edge/IoT engineering efforts to build production-grade AI systems for high-stakes defence applications. The engineer will bridge machine learning research with robust software delivery, using Python and compiled languages like Rust or C++, while implementing scalable CI/CD, containerisation, and Kubernetes deployments. Collaboration with data scientists and mentoring of engineering peers are key aspects of the position.

Faculty AI London, United Kingdom

Hybrid Permanent Flexible Clearance Required

Computational Protein Designer

Design and engineer functional proteins using proprietary generative AI models, bridging machine learning and experimental validation teams. Analyze structural biology and sequence data to generate and refine protein designs, then collaborate closely with wet lab scientists to test and iterate on results. Contribute to model improvement, data systems, and scientific knowledge sharing in a high-impact synthetic biology environment.

Latent Labs London, United Kingdom, United Kingdom

Hybrid Permanent

Software Engineer (TechOps), London

Design and manage cloud infrastructure for a cutting-edge AI-driven drug discovery platform, supporting research and production workloads on GCP. Work closely with scientists, ML researchers, and engineers to build scalable, secure, and automated systems using Kubernetes, Terraform, and modern DevOps practices. Operate in a hybrid environment with a focus on innovation and scientific impact.

Isomorphic Labs United Kingdom

Hybrid Permanent

Bioanalytical Lead, London

This role involves leading bioanalytical strategy for a diverse portfolio of AI-designed therapeutics, including small molecules, biologics, and Antibody-Drug Conjugates. The candidate will design and validate PK, PD, and immunogenicity assays, manage global CROs, and integrate wet-lab data back into AI models to improve predictive accuracy. They will also author regulatory submissions and ensure robust cross-functional collaboration across drug discovery, translational medicine, and computational biology teams.

Isomorphic Labs London, United Kingdom

Hybrid Permanent

Machine Learning Engineer (Computer Vision)

This role involves designing, training, and deploying computer vision models, working across the full machine learning lifecycle. You will build production-ready systems, evaluate model performance, and contribute to technical decisions across various projects, collaborating closely with engineers, data scientists, and domain experts.

Platform Recruitment London, United Kingdom £80,000 – £160,000 pa

On-site Permanent

Machine Learning Engineer (Computer Vision)

This role involves designing, training, and deploying computer vision models across the full machine learning lifecycle. You will work closely with engineers, data scientists, and domain experts to build production-ready systems and evaluate model performance in complex real-world environments.

Platform Recruitment Oxford, Oxfordshire, United Kingdom £85,000 – £160,000 pa

On-site Permanent