11 of 11 Docker Jobs in Oxford

Strong backend development with Node.js and/or Python Experience owning features from requirements through to production Good DevOps and CI/CD knowledge Docker experience Commercial cloud experience with AWS, Azure or GCP Strong automated testing experience, including Jest/Mocha and ideally Cypress, BrowserStack or similar Excellent JavaScript ...

Strong backend development with Node.js and/or Python Experience owning features from requirements through to production Good DevOps and CI/CD knowledge Docker experience Commercial cloud experience with AWS, Azure or GCP Strong automated testing experience, including Jest/Mocha and ideally Cypress, BrowserStack or similar Excellent JavaScript ...

similar technical support, QA or test engineering role. Strong Linux/Ubuntu command-line experience. Proficiency in Python and Bash scripting. Experience working with Docker and containerised environments. Familiarity with ROS/ROS2, including debugging nodes and analysing rosbag data. Experience with Git and modern CI/CD pipelines (GitHub ...

training orchestration, evaluation, and serving Experience with experiment tracking and model lifecycle management tools (MLflow, W&B, DVC, or similar) Solid understanding of containerisation (Docker) and orchestration (Kubernetes or Slurm) for distributed compute workloads Infrastructure-as-code mindset: Terraform, Ansible, or equivalent; CI/CD pipelines (GitHub Actions, Jenkins ...

networking and infrastructure fundamentals Terraform and Infrastructure as Code CI/CD tooling (GitHub Actions or similar) Linux and scripting (Python/Bash) Docker, ECS, EKS or Kubernetes Good understanding of cloud security principles, IAM and common web security vulnerabilities Experience with services such as AWS Security Hub, GuardDuty, Inspector ...

skills and hands‐on experience with LLM frameworks (LangGraph, LangChain, Haystack, or similar) Experience deploying AI/ML systems into production environments Familiarity with Docker, Git, and cloud platforms (AWS preferred) Understanding of secure deployment patterns - air-gapped, on-premises, or sovereign cloud Preferred Experience with multimodal reasoning Experience with ...

generative AI systems, LLM‐enabled applications or evaluation pipelines. Experience with cloud platforms, MLOps tooling, model serving or platform engineering. Advanced use of Linux, Docker, version control, CI/CD and service‐oriented deployment practices. Experience working across the lifecycle from experimentation and prototyping through to integration and operationalisation. Experience ...

skills and hands‐on experience with LLM frameworks (LangGraph, LangChain, Haystack, or similar) Experience deploying AI/ML systems into production environments Familiarity with Docker, Git, and cloud platforms (AWS preferred) Understanding of secure deployment patterns - air-gapped, on‐premises, or sovereign cloud Preferred Experience with multimodal reasoning Experience with ...

loading, format conversion, quantisation, or framework integration Comfortable working with inference serving stacks (for example vLLM, TensorRT‐LLM, or similar) Familiarity with Linux, containerisation (Docker), and cluster environments Comfortable in a customer‐facing role, able to communicate clearly with ML and infrastructure engineering teams Comfortable working in a fast‐moving ...

agentic AI systems in production. You will design multi-agent pipelines, integrate LLMs and vision-language models, and deploy in regulated environments. Strong Python, Docker, Git, and cloud experience valued. This is a hands-on delivery role with ownership and direct impact on projects in defence and security domains. #J ...

products and initiatives. Deliver robust, maintainable and operationally viable software and infrastructure, typically using our core stack: React, Typescript, Material UI, Node.js, Python, PostgreSQL, Docker, Kubernetes, Helm, AWS Work with internal colleagues (ML Engineers, ML Scientists, Product Managers etc) and external project partners to understand technical requirements, constraints and delivery … STEM discipline, or equivalent practical experience. Familiarity with our core stack, with strong experience in at least 2 components: Python, Typescript, Relational databases, APIs, Docker, Kubernetes, Kubeflow, AWS. Strong core software engineering and DevOps skills, including CI/CD, Version control, containerisation and cloud deployment. Knowledgeable on engineering best practices ...