london, south east england, united kingdom Hybrid / WFH Options
The JM Longbridge Group
software issues quickly and effectively. Understanding of Linux, SQL, and cloud technologies such as AWS (EC2, S3, Lambda, CloudFormation). Experience using Python, Docker containerization, and Git version control. Familiar with Elastic Stack (Elasticsearch, Logstash, Kibana) for monitoring and analysis. Proven experience managing support tickets (JIRA Service Desk) and ensuring More ❯
Storage, etc.) Hands-on experience with DevOps tools and CI/CD pipelines Experience with Terraform for provisioning and managing Azure infrastructure Proficient with containerisation (Docker, Kubernetes) and IaC frameworks Collaborative and proactive with excellent problem-solving abilities This is a fantastic chance to join a dynamic company at the More ❯
Linux systems expertise Active or recently active DV clearance Desirable Skills: Experience working in software development teams Understanding of software development practices Experience with containerisation (e.g., Docker) GitLab experience for version control and CI/CD Background in network-focused software development More ❯
and management. • Experience in using AWS cloud platform for deploying and managing applications • Familiarity with GitHub for version control and code collaboration. • Knowledge of containerization • Strong conceptual problem-solving • Ownership mindset • Comfortable working in a fast-paced environment Non-Technical: • Passionate about technology and excited about the impact of emerging More ❯
integration. Design and maintain robust APIs, optimising data pipelines for ML tasks. Collaborate on the setup and maintenance of CI/CD pipelines, Docker containerisation, and cloud deployment. Key Skills: 5+ years of experience in Python backend engineering. Expertise in unit testing with PyTest. Hands-on experience with machine learning More ❯
Stack Engineer Expertise in back-end (Python, Typescript, Node.js, FastAPI) and front-end (NextJS, React) technologies. Familiarity with cloud services (AWS, Azure, Google Cloud), containerization tools (Docker, Kubernetes), and CI/CD pipelines. Location: Hybrid (London) - 2-3 days p/week WFH Reasons to apply: Up to £90k salary More ❯
and management. • Experience in using AWS cloud platform for deploying and managing applications • Familiarity with GitHub for version control and code collaboration. • Knowledge of containerization • Strong conceptual problem-solving • Ownership mindset • Comfortable working in a fast-paced environment Non-Technical: • Passionate about technology and excited about the impact of emerging More ❯
projects and products. Support project delivery and provide infrastructure design expertise. Maintain and improve configuration management (Puppet) and DevOps processes. Lead the transition to containerization and GitOps workflows. The ideal DevOps Manager will have experience in: Extensive infrastructure engineering experience with Linux systems. Kubernetes. AWS. Experience managing junior and senior More ❯
integration. Design and maintain robust APIs, optimising data pipelines for ML tasks. Collaborate on the setup and maintenance of CI/CD pipelines, Docker containerisation, and cloud deployment. Key Skills: 5+ years of experience in Python backend engineering. Expertise in unit testing with PyTest. Hands-on experience with machine learning More ❯
City of London, London, United Kingdom Hybrid / WFH Options
CBSbutler Holdings Limited trading as CBSbutler
software issues quickly and effectively. - Understanding of Linux, SQL, and cloud technologies such as AWS (EC2, S3, Lambda, CloudFormation). - Experience using Python, Docker containerization, and Git version control. - Familiar with Elastic Stack (Elasticsearch, Logstash, Kibana) for monitoring and analysis. - Proven experience managing support tickets (JIRA Service Desk) and ensuring More ❯
Employment Type: Permanent
Salary: £40000 - £50000/annum Bonus + Full Benefits
london, south east england, united kingdom Hybrid / WFH Options
ManpowerGroup
Stack Engineer Expertise in back-end (Python, Typescript, Node.js, FastAPI) and front-end (NextJS, React) technologies. Familiarity with cloud services (AWS, Azure, Google Cloud), containerization tools (Docker, Kubernetes), and CI/CD pipelines. Location: Hybrid (London) - 2-3 days p/week WFH Reasons to apply: Up to £90k salary More ❯
experience required: Experience of cloud technologies preferably Azure Platform Experience of release and deployment tools ideally using Azure DevOps Experience of micro services and containerisation architecture Substantial experience of scripting languages such as PowerShell scripts, YAML, Python Experience of azure automation using arm templates Experience of Linux, Windows Server, Azure More ❯
MSc, or PhD) in Computer Science, Engineering , or a related field Bonus points for knowledge in machine learning, AI , data engineering , or DevOps/containerization GCS is acting as an Employment Agency in relation to this vacancy. More ❯
in Python, SQL, Bash, and Git, with hands-on experience in Jupyter notebooks, Pandas, and PyTorch. Familiarity with cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong problem-solving skills and a passion for driving measurable business impact. Knowledge of marketing measurement techniques like media mix modelling. More ❯
and MLOps. Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Hands-on experience with CI/CD pipelines, version control, and ML workflows (MLflow, Kubeflow). Proven track record of delivering ML More ❯
in Python, SQL, Bash, and Git, with hands-on experience in Jupyter notebooks, Pandas, and PyTorch. Familiarity with cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong problem-solving skills and a passion for driving measurable business impact. Knowledge of marketing measurement techniques like media mix modelling. More ❯
and MLOps. Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Hands-on experience with CI/CD pipelines, version control, and ML workflows (MLflow, Kubeflow). Proven track record of delivering ML More ❯
latest industry trends, technologies, and best practices. Qualifications: 3+ years proven experience as a Python Developer and use of frameworks, ideally Django. Familiarity with containerisation technologies like Docker and orchestration tools like Kubernetes is a plus. Strong problem-solving skills and the ability to work in a fast-paced environment. More ❯
maintenance, administration and automation. Deep knowledge of Linux OS, particularly Debian, with the focus on patch management, security and performance optimisation. Advanced skills in containerisation, including building and optimising base images and managing container repositories. Proven track record in administering monitoring systems such as Zabbix and Prometheus/Thanos in More ❯
based in Cheshire just south of Manchester. Please only apply if you are in commutable distance. Essential Technical skills: AWS and/or GCP Containerization and deployment - Docker and Kubernetes and/or GKE IaC - Terraform CI/CD pipelines Other Essential Skills: Team leadership - you will have mentored more More ❯
london, south east england, united kingdom Hybrid / WFH Options
Intec Select
maintenance, administration and automation. Deep knowledge of Linux OS, particularly Debian, with the focus on patch management, security and performance optimisation. Advanced skills in containerisation, including building and optimising base images and managing container repositories. Proven track record in administering monitoring systems such as Zabbix and Prometheus/Thanos in More ❯
large-scale vehicle data processing efficiently Utilize AWS services such as EC2, S3, Lambda, Kinesis, DynamoDB, and RDS for cloud-native application development Implement containerization (Docker, Kubernetes) and serverless architectures where applicable Implement best practices for secure data transmission and storage, ensuring compliance with industry standards Monitor system performance using More ❯
