libraries (scikit-learn, tensorflow, Keras etc.). Experience implementing machine learning and large language models (LLMs), encompassing deployment, monitoring, and retraining. Familiarity with software engineering guidelines: versioncontrol (e.g., Git), CI/CD, containerization (e.g., Docker), and workflow orchestration. Knowledge of cloud platforms and scalable compute environments (Azure preferred). Understanding of data governance, model documentation, and reproducibility in More ❯
and continuous integration workflows. Knowledge of agile practices and able to perform in agile software development environments. Strong knowledge of modern software development tools/ways of working (e.g. git/GitHub, DevOps tools for deployment) – should be able to show practice of commit early and deploy often. Preferred Requirements Experience with Docker or containerized applications, especially architecture of More ❯
experience (e.g. pytest). Knowledge of agile practices and able to perform in agile software development environments. Strong experience with modern software development tools/ways of working (e.g. git/GitHub, DevOps tools for deployment). Preferred Requirements Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience. Bioinformatics expertise, familiarity with large More ❯
services Strong understanding of Identity and Access Management (IAM) principles and tools Experience with scripting/programming languages (e.g., JavaScript) Foundational knowledge of networking and security principles Familiarity with Git-based development workflows (preferably GitHub) Strong problem-solving skills and a passion for security What We Offer: Benefits: 25 days holiday, pension, life insurance Location: Slough/Langley More ❯
Step 2 -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 More ❯
Step 2 -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 More ❯
up 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 More ❯
up 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 More ❯
up 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 More ❯
specifically Large Language Models. Knowledge of agile practices and able to perform in agile software development environments. Strong knowledge of modern software development tools/ways of working (e.g. git/GitHub, DevOps tools for deployment) – should be able to show practice of commit early and deploy often. Preferred Qualifications Experience with safety and/or robustness evaluations of More ❯
experience (e.g. pytest). Knowledge of agile practices and able to perform in agile software development environments. Strong knowledge of modern software development tools/ways of working (e.g. git/GitHub, DevOps tools for deployment) – should be able to show practice of commit early and deploy often. Preferred Requirements Experience with Docker or containerized applications, especially architecture of More ❯
including development and testing. Knowledge of agile practices and able to perform in agile software development environments. Strong knowledge of modern software development tools/ways of working (e.g. git/GitHub). Preferred Qualifications Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches More ❯
