6 of 6 Machine Learning Jobs in Lincolnshire

to validate the link between target and disease biology and to propose programs in novel areas of immunology and inflammation. You will partner with machine learning and computational scientists from across the organization to develop, deploy, and scale novel approaches to: 1) translational validation in hit to lead … project, but also to accelerate future projects and scale the impact that we can have Collaborate cross-functionally with Recursion's data science, platform, ML and clinical teams to further advance Recursion's ability to interpret and translate large-scale data assets into therapeutic programs The Team You'll Join … disease areas; strong understanding of patient genetics and historical druggability of disease relevant pathways Experience applying computational methods (including probabilistic, statistical, and/or machine learning techniques) to analyze and integrate matched human clinical and molecular data in a high level programming language such as Python or R More ❯

session and post-race analysis. Assist in the integration of third-party data sources (e.g. MoTeC, etc). Drive innovation in the use of machine learning or predictive models to enhance performance decision-making. Provide trackside support as required across the race calendar, requiring regular interstate travel Qualifications … tests, and workshops as required. Preferred Requirements Experience in motorsport field Experience with cloud services (AWS, Azure) or containerized environments (Docker). Background in machine learning or predictive modelling for motorsport or automotive applications. Previous experience working within a Supercars team or similar motorsport environment. What We Offer More ❯

working with businesses and IT Leaders to extract value through data and analytic solutions in the domains of Cloud, Data Management, Analytics, AI and ML, Governance, Hyper Automation, and Enterprise Application Development. Our team of experts, combined with our world-class data management platform, helps provide trusted insights, establish frameworks More ❯

working with businesses and IT Leaders to extract value through data and analytic solutions in the domains of Cloud, Data Management, Analytics, AI and ML, Governance, Hyper Automation, and Enterprise Application Development. Our team of experts, combined with our world-class data management platform, helps provide trusted insights, establish frameworks More ❯

efficiency. Implement DevOps practices, cloud storage solutions, and infrastructure automation. Build and maintain RESTful APIs for seamless backend-to-frontend integration. Develop AI/ML-powered features for intelligent automation and decision-making. Design, develop, and maintain high-quality mobile applications for iOS and Android. Collaborate with UI/UX … management (SQL/NoSQL). Preferred: Cloud certifications (e.g., AWS Certified Developer, Azure Developer, Google Cloud Professional Cloud Developer). Experience in AI/ML model integration within cloud and medical applications. Familiarity with containerization (Docker/Kubernetes) and serverless computing. Experience working with IoMT (Internet of Medical Things) and More ❯

Testing, Terraform, Docker, MongoDB, PostgreSQL You will be working for an exciting EdTech startp of which, has an ambition to revolutionise education by harnessing ML powered tutoring. They are looking for someone that has real passion for what they do and doesn't just see it as a job. They … and testing pipelines to support system stability. Research and make decisions about the technological stack and system design, considering all trade-offs. Work on ML model development Analyse large amounts of data and build real-time systems. Scale backend and web frontend development teams. Work in a very cross-functional … team, side by side with mobile developers, product managers, ML engineers, and designers. Skills & Experience required: Build high-load applications from scratch. Deep knowledge of AWS. Architecture planning Estimation skills Clean code practices. Architecture scalability and simplicity. CI/CD automation pipelines. Proficiency with Terraform and Docker. Ability in resolving More ❯