with a focus on reliability and performance. Python Expertise: Strong experience with Python for backend services (e.g., FastAPI, Flask, 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 More ❯
sources (e.g., relational databases like PostgreSQL, unstructured document stores like SharePoint, APIs, and data warehouses). Cloud Proficiency: Experience architecting solutions on a major cloudplatform (AWS, Azure, or GCP). Technical Foundation: Proficiency in Python is strongly preferred. Familiarity with containerization (Docker) and orchestration (Kubernetes) is essential. Communication: Exceptional verbal and written communication skills, with the ability to explain More ❯
software. Understanding of scripting and tool development for HPC & DevOps style platform operations using bash and Python Tech Stack: Java, Docker, Kubernetes, SQL, AWS, Python, HPC, Perl, Azure, C++, GCP, Ruby. The role: 6 Month contract Outside IR35 Cambridge - Hybrid, 2-3 days p/w £(Apply online only)/day If you'd be interested to hear more, and More ❯
software. Understanding of scripting and tool development for HPC & DevOps style platform operations using bash and Python Tech Stack: Java, Docker, Kubernetes, SQL, AWS, Python, HPC, Perl, Azure, C++, GCP, Ruby. The role: 6 Month contract Outside IR35 Cambridge - Hybrid, 2-3 days p/w £300-350/day If you'd be interested to hear more, and believe More ❯
Cambridge, Cambridgeshire, United Kingdom Hybrid / WFH Options
Deloitte LLP
and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across the GenAI solutions. Communicate More ❯
Cambridge, Cambridgeshire, United Kingdom Hybrid / WFH Options
Cambridge University Press & Assessment (CUPA)
Leads to ensure scalability and maintainability. Strong knowledge of microservices, cloud deployments, and integration patterns to guide technology choices that support long-term objectives. Proficiency in AWS, Azure, and GCP with expertise in leveraging cloud-native services for compute, storage, and databases. Skilled at working with Delivery Leads, Product Owners, and Managers to ensure technical initiatives align with delivery milestones More ❯
