11 of 11 Remote Docker Jobs in Oxford

reliability and performance You’ll Succeed If You Have Strong, production-level experience with Python A background in building web apps, APIs, or workflow engines Hands-on experience with Docker , CI/CD pipelines , and cloud-native environments Knowledge of databases (SQL, MongoDB) and data pipelines Familiarity with Kubernetes , Terraform , or related orchestration tools What’s on offer: Competitive salary More ❯

Next.JS HTML & CSS SQL Expertise in at least one cloud platform and its managed data services. Experience in Genomics/Life Sciences Nice to have: Kubernetes and/or Docker Kafka Oracle Compensation: This role is offering an incredibly competitive salary + benefits package. How to apply: Please apply through the link on this page. More ❯

GDPR). Mentor engineers on DevSecOps best practices. What you'll bring Strong cloud experience (ideally OCI ). Industry experience in the pharma space Hands-on with Terraform , Docker , Kubernetes , and Git . Solid CI/CD and security automation skills. Knowledge of cloud security (IAM, encryption, network controls). Bonus: Cloud certifications, experience with OWASP ZAP or Burp Suite. More ❯

Node.js, and Next.js Familiarity with GraphQL, Postgres, and Redis Experience using testing frameworks such as Jest and Cypress Solid understanding of CI/CD, DevOps , and cloud hosting (AWS, Docker, Pulumi, Heroku) Confident delivering features quickly and reliably, with a strong eye for quality Skilled at shaping requirements and gathering user feedback to improve new features Experienced in architecting scalable More ❯

GraphQL Expertise in at least one cloud platform and its managed data services. Experience building APIs Experience in Genomics/Life Sciences Nice to have: Kubernetes and/or Docker Kafka Oracle Compensation: This role is offering a competitive salary + benefits package. How to apply: Please apply through the link on this page. More ❯

and support mission-critical clinical deployments. What you'll do: Maintain production systems on AWS (some Windows/Azure) Respond to monitoring alerts and client escalations Support deployments using Docker, Terraform and basic scripting Collaborate with developers on testing and backend improvements Progress from operations to product-focused work within 6 months You have: 2-3 years in systems/ More ❯

working across diverse tech stacks, you'll refine your ability to choose the right tools for every challenge. From monolithic to microservices architectures, gRPC to REST APIs, Kubernetes to Docker, Python to Rust-you'll show that true expertise isn't about using the trendiest technologies, but about understanding their purpose to unleash their full potential. Build stuff that matters. More ❯

fantastic role for you. Ideally you'll come from a proven background working across - Ruby on Rails Front End frameworks - preferably React or Stimulus.js Architectural design CI/CD - Docker/Terraform Agile/TDD Data Analytics experience beneficial You must be able to demonstrate where you've adopted these technologies within a scalable, highly secure, data-driven, accessible and More ❯

fantastic role for you. Ideally you'll come from a proven background working across - Ruby on Rails Front End frameworks - preferably React or Stimulus.js Architectural design CI/CD - Docker/Terraform Agile/TDD Data Analytics experience beneficial You must be able to demonstrate where you've adopted these technologies within a scalable, highly secure, data-driven, accessible and More ❯

distributed, cloud-native systems. Key Responsibilities Design, implement, and maintain end-to-end MLOps pipelines for model training, validation, deployment, and monitoring. Develop and automate workflows using Terraform, Kubernetes, Docker , and CI/CD toolchains (GitHub Actions, Jenkins, Argo, etc.). Manage scalable cloud-based compute environments (Oracle Cloud, AWS, or GCP) for AI workloads and data processing. Build and … etc.). Essential Skills and Experience Proven experience as an MLOps Engineer, Platform Engineer, or DevOps Engineer supporting ML or data science teams. Strong hands-on experience with containerization (Docker) and orchestration (Kubernetes) . Expertise in Terraform , Infrastructure as Code (IaC), and cloud provisioning (OCI, AWS, GCP, or Azure). Solid understanding of CI/CD pipelines and automated testing More ❯

Machine Learning Engineer Machine Learning Engineer – AI for Advanced Materials – Oxford (Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform) We’re looking for a Machine Learning Engineer to join a rapidly scaling deep-tech company that’s reinventing how the … client is seeking Machine Learning Engineers with experience in some or all of the following (full training provided to fill any gaps): Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, Pandas, NumPy, SciPy, CI/CD, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform, Azure, AWS, GCP, Git, and Agile methodologies. Join a team that’s fusing AI, science, and More ❯