7 of 7 Remote/Hybrid Data Science Jobs in Cambridge

fantastic opportunity for a Graduate Clinical Data Analyst to join a growing health-tech organisation working on regulated clinical study projects. This role sits within a Clinical and Regulatory function and is well suited to a bright graduate or early-career professional looking to build a career in clinical … data and regulated data environments. You will support the delivery of compliant clinical data and imaging activities for commercial clinical studies, working closely with project teams, technical specialists and external stakeholders. The role offers strong training, clear development and hands-on exposure to clinical data workflows ...

chain. This role is fully remote in UK, with full work authorization already in effect. No Visa sponsorship is available. Job Description In a data-driven and AI-oriented environment, you will be responsible for the design, industrialization, and optimization of inter-application data pipelines. You will … involved in the entire data chain, from data ingestion to its use by data science teams and AI systems in production within a human-sized and multidisciplinary team. This role is within Process Intelligence (PI) team that combines functions such as Process Mining, Real Time Monitoring ...

remote-first technology organisation headquartered in the UK, with a distributed team across Europe. The business operates in a highly data-driven environment, working closely with Product and Data Science teams to support an Educational AI pipeline. Data reliability, performance, and scalability are central … platform, and this role plays a key part in maintaining and evolving the underlying data infrastructure. You'll be joining a collaborative, distributed engineering team, with the opportunity to take real ownership of database systems and tooling. OUR BENEFITS: Remote-first working model Autonomous, trusted working environment Collaborative ...

problems, contributing to the design, development, and deployment of intelligent systems in a collaborative, fast-paced environment. You will work closely with experienced engineers, data scientists, and product teams to build scalable AI-driven solutions while developing your technical and professional skills. Key Responsibilities Design, develop, and implement machine … learning and AI models Assist in data preparation, feature engineering, and model evaluation Write clean, maintainable, and well-documented code Deploy and monitor models in production environments Collaborate with cross-functional teams to translate business problems into technical solutions Stay up to date with the latest AI/ ...

Full Stack Engineer (Web & Data) Industry: Technology/Digital Products/Automation & Analytics Location: London, UK (Hybrid 1-2 days) Are you passionate about developing seamless, data-driven digital experiences? An established digital transformation and technology solutions provider is looking for a Full Stack Engineer (Web & Data) to join its growing Automation & Analytics team in London. This hybrid role blends web development with data engineering, offering exposure to everything from dynamic front‐end interfaces and API development to cloud‐based data pipelines and analytics platforms. If you love combining creativity in web development with ...

backed by top-tier VCs and multiple unicorn founder angels. If you like Solving hard problems at the intersection of software & healthcare/data science The pursuit of excellence—helping each other to do the best work of our careers Working in an in-person collaborative environment Taking ...

trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help … models and navigating the intersection of research, engineering, and product delivery. Roles & Responsibilities: Lead and mentor a cross-functional team of ML engineers, data scientists, and MLOps professionals. Oversee the full lifecycle of LLM and ML projects — from data collection to training, evaluation, and deployment. Collaborate with Research ...