governance. Your Profile Technical Skills: Strong knowledge of enterprise architecture principles and design patterns. Proficiency in cloud platforms (AWS, Azure, or GCP). Solid experience with APIs, microservices, containerization (Docker/Kubernetes). Understanding of DevOps practices, CI/CD pipelines, and automation tools. Proficient in modeling tools (e.g., Visio, Lucidchart, Draw.io). Familiarity with enterprise integration patterns and middleware More ❯
both technical and non-technical audiences Ability to operate in a client-facing environment, contributing to multi-disciplinary teams and complex programmes Ideally, experience with containerisation technologies such as Docker and Kubernetes Exposure to Kimball data modeling, data architecture, and performance optimisation Experience delivering end-to-end solutions involving Azure data platform components If this role interests you and you More ❯
Hands-on experience with cloud platforms (AWS, GCP, Azure) for model training and deployment. Deep understanding of MLOps concepts: monitoring, logging, CI/CD for ML, reproducibility. Experience with Docker and container orchestration (e.g., Kubernetes). Preferred Skills: Experience with feature stores (e.g., Feast, Tecton). Knowledge of distributed training (e.g., Horovod, distributed PyTorch). Familiarity with big data tools More ❯
Hands-on experience with cloud platforms (AWS, GCP, Azure) for model training and deployment. Deep understanding of MLOps concepts: monitoring, logging, CI/CD for ML, reproducibility. Experience with Docker and container orchestration (e.g., Kubernetes). Preferred Skills: Experience with feature stores (e.g., Feast, Tecton). Knowledge of distributed training (e.g., Horovod, distributed PyTorch). Familiarity with big data tools More ❯
Hands-on experience with cloud platforms (AWS, GCP, Azure) for model training and deployment. Deep understanding of MLOps concepts: monitoring, logging, CI/CD for ML, reproducibility. Experience with Docker and container orchestration (e.g., Kubernetes). Preferred Skills: Experience with feature stores (e.g., Feast, Tecton). Knowledge of distributed training (e.g., Horovod, distributed PyTorch). Familiarity with big data tools More ❯
Hands-on experience with cloud platforms (AWS, GCP, Azure) for model training and deployment. Deep understanding of MLOps concepts: monitoring, logging, CI/CD for ML, reproducibility. Experience with Docker and container orchestration (e.g., Kubernetes). Preferred Skills: Experience with feature stores (e.g., Feast, Tecton). Knowledge of distributed training (e.g., Horovod, distributed PyTorch). Familiarity with big data tools More ❯
Hands-on experience with cloud platforms (AWS, GCP, Azure) for model training and deployment. Deep understanding of MLOps concepts: monitoring, logging, CI/CD for ML, reproducibility. Experience with Docker and container orchestration (e.g., Kubernetes). Preferred Skills: Experience with feature stores (e.g., Feast, Tecton). Knowledge of distributed training (e.g., Horovod, distributed PyTorch). Familiarity with big data tools More ❯
Hands-on experience with cloud platforms (AWS, GCP, Azure) for model training and deployment. Deep understanding of MLOps concepts: monitoring, logging, CI/CD for ML, reproducibility. Experience with Docker and container orchestration (e.g., Kubernetes). Preferred Skills: Experience with feature stores (e.g., Feast, Tecton). Knowledge of distributed training (e.g., Horovod, distributed PyTorch). Familiarity with big data tools More ❯
Hands-on experience with cloud platforms (AWS, GCP, Azure) for model training and deployment. Deep understanding of MLOps concepts: monitoring, logging, CI/CD for ML, reproducibility. Experience with Docker and container orchestration (e.g., Kubernetes). Preferred Skills: Experience with feature stores (e.g., Feast, Tecton). Knowledge of distributed training (e.g., Horovod, distributed PyTorch). Familiarity with big data tools More ❯
cloud experience valued) Experience with LLM deployment strategies - both managed services (Bedrock, OpenAI) and self-hosted solutions Understanding of vector databases, embedding systems, and retrieval architectures Technical Expertise: Containerisation (Docker) and orchestration platforms (Kubernetes, ECS, or equivalent) Database design across SQL and NoSQL systems API design, microservices architecture, and distributed systems Cloud infrastructure management and infrastructure-as-code AI/ More ❯
cloud experience valued) Experience with LLM deployment strategies - both managed services (Bedrock, OpenAI) and self-hosted solutions Understanding of vector databases, embedding systems, and retrieval architectures Technical Expertise: Containerisation (Docker) and orchestration platforms (Kubernetes, ECS, or equivalent) Database design across SQL and NoSQL systems API design, microservices architecture, and distributed systems Cloud infrastructure management and infrastructure-as-code AI/ More ❯
cloud experience valued) Experience with LLM deployment strategies - both managed services (Bedrock, OpenAI) and self-hosted solutions Understanding of vector databases, embedding systems, and retrieval architectures Technical Expertise: Containerisation (Docker) and orchestration platforms (Kubernetes, ECS, or equivalent) Database design across SQL and NoSQL systems API design, microservices architecture, and distributed systems Cloud infrastructure management and infrastructure-as-code AI/ More ❯
ll do Within this role, you will contribute to the design and development of large-scale high performance services using the latest Standards, React JS, SQL, MongoDB, Kubernetes and Docker including serverless functions and event-driven architecture too. You'll also help to implement cloud technologies such as AWS and GCP and help drive the product technical roadmap design, support More ❯
MemSQL, Sybase IQ/ASE Micro Service Technologies: REST, Spring Boot, Jersey Build and CI/CD Technologies: Gradle, Jenkins, Gitlabs, SVN Cloud Technologies: AWS CDK and experience with Docker or Kubernetes is a plus HOW YOU WILL FULFILL YOUR POTENTIAL Exposure to various data management and modeling tools for data storage, discovery, curation, retrieval, analysis, and sharing. Building frameworks More ❯
Stafford, England, United Kingdom Hybrid / WFH Options
Energy Job Search
programming languages such as Python, R, MATLAB, or C++. Familiarity with cloud platforms (AWS, Azure, Google Cloud) and microservices architecture. Nice-to-Have Requirements Experience with data modeling, containerization (Docker, Kubernetes), and distributed computing (Spark, Scala). Familiarity with GraphDB, MongoDB, SQL/NoSQL, and other DBMS technologies. Understanding of system automation, protection, and diagnostics in relevant sectors. Experience with More ❯
Birmingham, England, United Kingdom Hybrid / WFH Options
Turnitin
a plus: Familiarity in coding for at-scale production, ranging from best practices to building back-end API services or stand-alone libraries. Essential dev-ops skills (we use Docker, AWS EC2/Batch/Lambda). Familiarity in building front-ends (LLMs or more standard React, Javascript, Flask) for simple demos, POCs and prototypes. Experience with advanced prompting, fine More ❯
Framework development Strong experience with Azure DevOps tools and pipeline creation Familiarity with cloud environments, especially Microsoft Azure Experience using Git, YAML, ARM templates, or Terraform Knowledge of containerisation (Docker/Kubernetes) is advantageous Whats on Offer: Competitive salary based on experience Opportunity to work on varied and impactful projects Supportive team environment with progression opportunities Flexible working arrangements To More ❯
improving deployment times, working within the pipeline. Requirements: 3+ years DevOps experience, specifically in a development environment ideally .Net and Microservices (not IaC) Experience with AWS, HELM, ArgoCD, Kubernetes, Docker, Ansible, Github Actions (Synk and Sonarqube also ideal) Please note, all applicants must have the right to work in the UK (ILR, Dependant Visa, PSW or citizenship). IND_PC1 More ❯
Telford, Shropshire, West Midlands, United Kingdom
SF Recruitment (Tech)
in Agile, cross-functional teams delivering impactful services. Key tech includes: ?? Java (must be your main language or one you're strong in) ?? Spring Boot, REST APIs, TDD, Microservices ?? Docker, Kubernetes, SQL/NoSQL ?? Cloud platforms (AWS/Azure - nice to have) To be suitable, you must: Be eligible for Security Clearance (have lived in the UK for the past More ❯
automation experience with configuration management tools. Strong scripting skills (e.g., Shell, Python, PowerShell, Perl, JAVA) and automation skills. Thorough knowledge of Jenkins and pipeline using Groovy script. Experience with Docker containers and Amazon Linux 2023 AMI. Experience with system monitoring tools (e.g., Grafana, Alert Manager, Prometheus, and Node exporter). Experience with Git, Jira, Confluence, and ServiceNow for incident and More ❯
automation experience with configuration management tools. Strong scripting skills (e.g., Shell, Python, PowerShell, Perl, JAVA) and automation skills. Thorough knowledge of Jenkins and pipeline using Groovy script. Experience with Docker containers and Amazon Linux 2023 AMI. Experience with system monitoring tools (e.g. Grafana, Alert Manager, Prometheus, Node exporter ). Experience with Git, Jira, Confluence, and ServiceNow for incident and change More ❯
Wolverhampton, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
monitoring. Excellent stakeholder management and communication skills. Experience in agile environments and cross-functional collaboration. Tools & Technologies Some of the technologies used in the team include: Python, Java, AWS, Docker, Terraform, OpenSearch, MySQL, Bedrock, Claude, GitHub Actions, and Atlassian tools (Jira, Confluence). What’s on Offer 25 days holiday + 8 bank holidays Work-from-home flexibility Paid parental More ❯
Telford, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
monitoring. Excellent stakeholder management and communication skills. Experience in agile environments and cross-functional collaboration. Tools & Technologies Some of the technologies used in the team include: Python, Java, AWS, Docker, Terraform, OpenSearch, MySQL, Bedrock, Claude, GitHub Actions, and Atlassian tools (Jira, Confluence). What’s on Offer 25 days holiday + 8 bank holidays Work-from-home flexibility Paid parental More ❯
Shrewsbury, England, United Kingdom Hybrid / WFH Options
Humand Talent
and clear documentation Experience or interest in the following would also be valuable: Managing or supporting connected devices or remote systems Working with Linux-based systems CI/CD, Docker or Kubernetes Internal tooling, API design and service orchestration Frontend technologies such as React Networking, messaging protocols or event-driven systems We encourage applications from candidates with transferable skills or More ❯
