7 of 7 Remote Docker Jobs in Glamorgan

instructions HMLR's Core Tech Stack Languages: Java and Python (with some Legacy Delphi) Frameworks: Spring Boot, Flask, Django Cloud & Hosting: AWS and OpenShift (container-based environments) Containers & DevOps: Docker, Kubernetes, CI/CD pipelines (Jenkins, GitHub/GitLab) Databases: PostgreSQL (primary), with some Oracle and SQL Server Legacy systems Version Control: Git and GitHub (enterprise) Testing: JUnit, PyTest, Selenium More ❯

Have (But Not Required): University or personal project experience with cloud tools or services Exposure to Infrastructure-as-Code tools like Terraform or ARM templates Familiarity with containers (e.g., Docker, Kubernetes) Knowledge of CI/CD principles or version control systems like Git Completion of a cloud-related course or certification (e.g. AWS Academy, Azure Fundamentals) What You’ll Gain More ❯

Agile delivery experience and a commitment to continuous improvement Bonus points if you have: Azure certifications (e.g., Developing or Architecting Microsoft Azure Solutions) Experience with GraphQL (e.g., HotChocolate), Kafka, Docker, Azure DevOps, or observability tools Knowledge of identity management, housing systems, or Gitflow What you'll get in return In return, you will benefit from the flexibility of hybrid working More ❯

scripting languages like Scala/Python. Coding in languages like Java/Scala/Groovy. Working with databases like MongoDB/MySQL. Good understanding of Build tools like Gradle, Docker etc. Working knowledge of using Monitoring tools like Prometheus, Grafana, Elasticsearch Team overview Test Management Our Test Management team works closely with our design, delivery and business teams to create More ❯

of the team. What you'll bring Track record of delivering complex, production quality applications. Strong Scala development experience, preferably in the akka/pekko ecosystem. Experience working with Docker, Kubernetes and Cloud technologies. Strong Test Driven Development background, with understanding of levels of testing required to continuously deliver value to production Experience with build management and CI systems such More ❯

improve model performance Model Evaluation : Learn to test models for accuracy, robustness, and fairness using best practices Deployment : Help package and deploy ML models into production using tools like Docker, APIs, or cloud platforms Collaboration : Work closely with software engineers, data scientists, and product teams to integrate ML into real products and services Experimentation : Participate in testing new algorithms, researching … or Azure) Knowledge of software engineering best practices, version control (Git), or CI/CD pipelines Understanding of deep learning, NLP, or computer vision Familiarity with deployment tools like Docker or MLflow What You’ll Gain Hands-on Experience : Work on real ML systems and contribute to production-grade solutions Mentorship & Training : Learn from senior ML engineers and participate in More ❯

software lifecycle - from design and implementation to deployment and support. Expect to: Design, build and maintain features across a modern stack, including React , TypeScript , NodeJS , AWS Lambdas , API Gateway , Docker , AWS Glue , Python , and SQL/NoSQL databases . Collaborate with data scientists, engineers, and product teams to deliver impactful, scalable solutions. Test-drive and pair-program to ensure high … React , TypeScript , and NodeJS . Familiarity with AWS services (Lambda, API Gateway, Glue, Step Functions, CloudFormation). Proficiency with SQL and/or NoSQL databases . Experience with Python , Docker , and Agile methodologies . Competence in TDD and writing clean, testable code. A collaborative mindset - able to contribute ideas, give and receive constructive feedback, and take collective responsibility for team More ❯