Latest neural network Jobs

Senior Solutions Architect – Large Scale AI Training

This role involves working closely with leading AI organizations across EMEA to solve complex challenges in large-scale AI model training and alignment. You will guide customers on optimizing distributed training workflows using NVIDIA's full stack, including frameworks like PyTorch, Megatron-LM, and NeMo, while bridging customer insights with internal product and research teams. The position also includes fostering developer communities through technical events and shaping future product direction based on real-world use cases.

NVIDIA PLN 292,500 – PLN 507,000 pa

Lead Data Scientist /Deep Learning Practitioner

Lead the development of deep learning models to enhance underwriting capabilities, using non-traditional data and advanced neural networks like LSTMs and Transformers. Translate research into production solutions while mentoring team members and collaborating with stakeholders. Work across structured and unstructured data to deliver predictive insights that drive business impact.

Capital One Spondon, Derbyshire, United Kingdom

Lead Data Scientist /Deep Learning Practitioner

Lead the development and deployment of deep learning models to enhance underwriting systems, focusing on non-traditional data sources and advanced neural architectures. Translate research prototypes into production solutions while mentoring team members and collaborating with stakeholders. Work across structured and unstructured data, applying techniques like LSTMs, RNNs, and Transformers.

Capital One Leicester, Leicestershire, United Kingdom

Principal Machine Learning Infrastructure Engineer

This role involves designing and operating distributed machine learning infrastructure for large-scale physics-based AI models, with a focus on training efficiency, data pipeline performance, and model serving. The engineer will work closely with research scientists and ML engineers to build scalable systems on NVIDIA DGX hardware, optimize I/O for complex mesh datasets, and enable reliable deployment of models into customer environments. A strong foundation in distributed training, HPC systems, and Kubernetes is essential.

PhysicsX London, 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

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

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

Member of Technical Staff, Applied AI

Develop and deploy generative AI models in customer environments within the biotech and pharmaceutical sectors. Collaborate with interdisciplinary teams to adapt and optimise proprietary models, build production-grade API integrations, and deliver scientific value through technical deployment and customer engagement. Focus on performance, reliability, and translating research into real-world applications.

Latent Labs London, United Kingdom, United Kingdom

Hybrid Permanent

Forward Deployed AI Engineer

This role involves deploying and integrating generative AI models into pharmaceutical and biotech customers' scientific workflows. The engineer will design production-grade API integrations, data pipelines, and model-serving infrastructure while working on-site to troubleshoot and deliver solutions. The position emphasizes customer collaboration, enterprise-grade deployment standards, and translating real-world feedback into product improvements.

Latent Labs London, United Kingdom, United Kingdom

Hybrid Permanent