10 of 10 GitHub Jobs in Cambridge

Django). Cloud & DevOps Knowledge: Hands-on experience with AWS, GCP, or Azure; strong understanding of Kubernetes and containerization, infrastructure-as-code (Terraform, CloudFormation), and CI/CD pipelines (GitHub Actions). Communication & Collaboration : Acute listening skills, and a proven track record of working cross-functionally with scientists, data engineers, and product teams; able to explain complex ideas to diverse More ❯

UI (Playwright) and API (RestSharp/HttpClient) layers. Leverage BDD (SpecFlow) to deliver business-readable and maintainable test cases. Integrate automated tests into CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins) to support continuous delivery. Drive test automation best practices to improve coverage, stability, and speed. Collaborate with developers, testers, and product teams to ensure the platform delivers a More ❯

Online Training (*12 weeks) The second step includes a selection of more advanced courses to get you up to speed. Learn the Command Line (1.5 weeks) Learn Git & GitHub (1.5 weeks) Learn JavaScript (1.5 weeks) Learn Python 3 (1.5 weeks) JavaScript forms the foundation of almost everything you see on the Internet, so it will be essential! Python is highly More ❯

enhance, and integrate with, our security tooling. Practical knowledge of Linux environments,containerization(Docker), andcloud platforms(AWS or comparable). Proven ability to buildCI/CD pipelines(GitLab CI, GitHub Actions). Clear and effective written and verbal communication skills. "Nice to Have" Skills and Experience Familiarity with GenAI paradigms (e.g. retrieval-augmented generation, agentic workflows, Model Context Protocol, evaluation More ❯

data privacy. Participate in design reviews , code reviews , and architecture discussions . Use AI orchestration tools like AI Foundry or Semantic Kernel. Apply prompt engineering and leverage tools like GitHub Copilot for development. Ensure responsible AI practices aligned with NIST AI RMF , EU AI Act , and other ethical standards. Mentor junior developers and foster a culture of continuous learning and More ❯

Online Training (*12 weeks) The second step includes a selection of more advanced courses to get you up to speed. Learn the Command Line (1.5 weeks) Learn Git & GitHub (1.5 weeks) Learn JavaScript (1.5 weeks) Learn Python 3 (1.5 weeks) JavaScript forms the foundation of almost everything you see on the Internet, so it will be essential! Python is highly More ❯

Online Training (*12 weeks) The second step includes a selection of more advanced courses to get you up to speed. Learn the Command Line (1.5 weeks) Learn Git & GitHub (1.5 weeks) Learn JavaScript (1.5 weeks) Learn Python 3 (1.5 weeks) JavaScript forms the foundation of almost everything you see on the Internet, so it will be essential! Python is highly More ❯

to speed for what is required and relevant for many entry level programming roles and help you get a step ahead. Learn the Command Line (*1.5 weeks) Learn Git & GitHub (*1.5 weeks) Learn JavaScript (*1.5 weeks) Learn Python 3 (*1.5 weeks) JavaScript forms the foundation of almost everything you see on the Internet. Therefore, this is an essential addition language More ❯

to speed for what is required and relevant for many entry level programming roles and help you get a step ahead. Learn the Command Line (*1.5 weeks) Learn Git & GitHub (*1.5 weeks) Learn JavaScript (*1.5 weeks) Learn Python 3 (*1.5 weeks) JavaScript forms the foundation of almost everything you see on the Internet. Therefore, this is an essential addition language More ❯

and assessing predictive models, analyzing biological networks, and analysis and visualization of -omics data. Maintain documentation and keep up-to-date as needed. Contribute to software releases (e.g. via GitHub, PyPI, Anaconda, Docker Hub). Who You Are The ideal candidate will be a strong collaborator with a background in dynamical systems and mathematical modeling of biological systems. Be able … scientific computing languages. Preferred Qualifications - Experience working with causal representation learning Experience with RAG (retrieval-augmented generation) and GraphRAG a big plus Experience with building and deploying software on GitHub, PyPI, Anaconda Cloud, and Docker Hub, as well as use of Pytorch lightning, Git, test-driven design. Knowledge of parallel computing technologies, such as NVIDIA's CUDA platform, OpenCL, and More ❯