2 of 2 Permanent Transfer Learning Jobs in the North West

that will help our customers imagine, design, and make a better world. We are a team of scientists, researchers, engineers, and designers working together on projects that range from learning-based design systems, computer vision, graphics, robotics, human-computer interaction, sustainability, simulation, manufacturing, architectural design and construction. This role will report to a Research Manager in the AI Lab. … Master's or PhD in a field related to AI/ML, such as: Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, or related disciplines · Strong background applying Deep Learning techniques (including implementing custom architectures, optimizing model performance, developing novel loss functions, metrics, and benchmarks, and deploying production-ready solutions) · Familiarity in statistical methods for Machine Learning (e.g. … abilities in Python · Strong Software development skills and familiarity with GPUs, MLOps, Git, High-performance large-scale ML systems and platforms. · Experience with Transformers, LLMs, NLP, Multi-modal Deep Learning, and VLMs/MLLMs · Publication track record in machine learning conferences and/or journals Preferred Qualifications · Significant post-graduate research experience, or five or more years of More ❯

and supportive environment where we analyse and investigate data, design solutions to exciting data driven challenges, and make a real difference for our customers. We are passionate about continuous learning and fostering shared expertise within the team. Data Scientists within our Data capability team are often working on: Analysing customer requirements in long term projects and new bid work … visualising, and presenting data analyses and analytics to customers and project leads, including on site. Engineering platforms, databases, and data pipelines as part of broader delivery solutions. Training (inc. transfer learning and feature extraction) and deploying ML/AI models for prediction, detection, classification, etc. Writing or supporting software solutions that implement data science models, tools, and techniques. … complex data, presenting your findings to customers and colleagues. A key part of this role is mentoring and supporting earlier career colleagues, helping to foster a culture of continuous learning and shared expertise across the team. You will work closely with customers, other data scientists, data architects, data engineers, software developers, and testers to: Investigate, transform (with provenance), and More ❯