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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Scientist - **Company:** Ground Truth Labs - **Location:** London, UK (Remote available) - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computer Vision, Clinical Data Repository, Computer Programming, Image Analysis, Python (Programming Language), Machine Learning, Pytorch, Deep Learning, Data Pipelines - **Published:** June 10, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=15d2f2d656eb0f1b ## About the Role Do you have experience in Python?, Do you have a Doctoral degree?, * PhD or equivalent practical experience in a technical field * Experience and a track record of innovation in deep learning and statistical analyses * Expertise in processing and analysing large image datasets using statistical methods * Ability to work independently and as part of multidisciplinary team within in a fast-paced startup environment * Strong communication and collaboration skills. Both remote (excellent written communication is key) and in-person * Strong programming skills in Python and experience with PyTorch Nice to have * Track record in computational pathology and/or single-cell transcriptomics analysis, sequencing * Clinical background or knowledge of cancer biology * Expertise in multimodality integration which includes histology data, clinical data, sequencing or other multi-omics * Relevant research experience to the position such as post doctoral roles, a proven track record of publications, or contributions to machine learning codebases, We are looking for software engineers who are thoughtful, rigorous, and committed to building reliable systems that matter. If you care about quality, ownership, and shipping robust products in fast-moving environments, we would love to hear from you. ## Description We are looking for a Machine Learning Scientist to play a critical role in the development of new spatial biology biomarkers for haemato-oncology. You will develop algorithms that make use of the latest machine learning and computer vision techniques to analyse the cell and tissue morphology at different scales. We expect that you have an enthusiasm for AI products and a track record of interesting projects in image analysis to match. This is a highly creative, fast-paced environment. Our teams are interdisciplinary, you will work alongside engineering and clinical science to build robust algorithms and to develop methodologies that drive clinical adoption. We are an early stage company, you will have the opportunity to drive the research direction, lead on new projects and make an impact across the organisation. The successful candidate will be able to identify, build, and champion algorithm products in key strategic areas for GTL., * Design, develop and implement advanced deep-learning models to extract valuable insights from histology imaging data * Collaborate with cross-functional teams, including engineers, clinical experts, and product managers, to identify opportunities for data-driven solutions and interpretable algorithms that address clinical questions * Develop and maintain scalable data pipelines and infrastructure to support data science projects. * Manage product, software and clinical and regulatory inputs and requirements to translate research algorithms into clinical-grade tools suitable for use in the real world. * Communicate results and insights to stakeholders and key decision-makers. As well as publicly in research publications and and conference abstracts. * Stay up-to-date with the latest developments in the field of machine learning, medical imaging, and data science, You will work alongside talented machine learning scientists and engineers to build the platform that supports our research, partner delivery, and future products. The role is especially well suited to someone who enjoys building from the ground up, moving quickly, and having tangible impact across an organisation and field. Working environment We primarily work remotely with a strong emphasis on efficient processes that enable high-quality work across asynchronous teams. At the same time, we recognise the importance of spending time together in person to share knowledge, solve hard problems, and build strong working relationships. We therefore expect this role to involve regular travel to London and Oxford. Indicatively, a typical month may involve 2-8 in-person days. As a team, we value: * Concise and engaged communication - we communicate clearly to work effectively in a remote setting. * Pride in high-quality work - we pay attention to detail and deliver to the highest standard. * A strategic approach - we think critically and creatively about complex issues. We identify the underlying patterns and leverage them to develop effective strategies * Collaborative co-creation - we are open to diverse perspectives, bounce ideas off of each other, and build upon each other's strengths. ## Related Videos - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [Generate AI in the Browser with Chrome AI - Raymond Camden](https://www.wearedevelopers.com/videos/1770-generate-ai-in-the-browser-with-chrome-ai-raymond-camden) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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