1 to 25 of 30 Permanent Containerisation Jobs in the City of London

testing frameworks and static code analysis tools (e.g. SonarQube) Agile methodologies (Scrum, Kanban, Lean) Experience mentoring, coaching or managing others in the team Desirable Skills Cloud platforms: AWS, Azure Containerisation: Docker, Kubernetes Machine Learning frameworks (AWS/Azure ML, TensorFlow) Relational, document, or graph databases Configuration management and deployment (Ansible) If you are a DV-clearable Senior Platform Engineer ready More ❯

skills and ability to work collaboratively in a cross-functional team. Desirable Skills - Experience with PHP, especially in legacy systems. - Familiarity with DevOps practices, CI/CD pipelines, and containerization (Docker/Kubernetes). - Exposure to domain-driven design and microservices architecture. - Experience in agile development environments. What We Offer - A chance to work on a high-impact transformation project. More ❯

with business goals. Able to translate complex engineering needs into clear business value propositions. Proven ability to write clean, maintainable, and testable code. Experience with CI/CD pipelines, containerisation (Docker/Kubernetes), and cloud platforms (AWS/Azure). This is an excellent opportunity to join a high-performing team, working on complex and rewarding projects in a supportive More ❯

a solid understanding of networking concepts including virtual private clouds (VPCs), subnets combined with an understanding of cloud concepts, architectures and ideally IaaS, PaaS and SaaS, have experience with containerization technologies (ie,Docker) and container orchestration platforms (ie Kubernetes) in cloud environments. You will have knowledge of cloud security best practices, identity and access management (IAM), encryption mechanisms, a solid More ❯

skills in Python and familiarity with JavaScript/TypeScript Working knowledge of React (not a frontend role, but an understanding of the stack is important) Hands-on experience with containerisation (Docker) and cloud deployment (Terraform, microservices, Azure) Exposure to Jupyter notebooks , and understanding of how machine learning models are developed and deployed Experience in fast-paced or start-up environments More ❯

tools such as GitHub Actions, Jenkins, or DroneCI. Experience with configuration as code tools like Terraform, or Cloudless. Strong knowledge of cloud platforms (AWS, Azure, GCP). Familiarity with containerization technologies (Docker, Helm/Kubernetes). Scripting skills in languages such as Python, Bash, or PowerShell. Understanding of networking, security, and system administration. What’s in it for you At More ❯

variants) in production-scale deployments Deep technical mastery of Infrastructure-as-Code frameworks with Terraform, Ansible, and Helm being absolutely essential. Advanced wizardry in Linux systems management, virtualisation technologies, containerisation platforms, and VMware orchestration tools (vRealize/Aria suite). Exceptional coding prowess in automation development and scripting languages: Python, PowerShell, Bash, Go, and Git workflows that drive efficiency. Battle More ❯

Angular, TypeScript Back-end: Java, Python, Spring Boot Database: MongoDB, PL/SQL,NOSQL API Development: RESTful APIs Version Control: Git CI/CD: TeamCity Desirable Skills: Docker and Containerization Monitoring and Logging (e.g., Prometheus, Grafana, ELK Stack) Cloud Platforms (AWS, Azure, Google Cloud) Security and Compliance API Documentation (e.g., Swagger, OpenAPI) Code Quality Tools (e.g., SonarQube) Agile Methodologies (Scrum More ❯

a regulated or high-traffic environment) Previous experience working with Monitoring and Observability Tools Hands-on Kubernetes know-how, specifically with EKS. Solid IaC experience with Terraform. Experience with containerisation (Docker, Helm) and CI/CD (GitHub Actions or similar) Solid scripting/Automation experience with Python or Java A good communicator who enjoys working collaboratively across product and engineering More ❯

operations optimisation, or customer segmentation. Comfortable with key ML frameworks (such as Scikit-learn, TensorFlow, PyTorch, Hugging Face) and data manipulation tools (Pandas, NumPy), as well as version control, containerisation, and ML deployment pipelines. Understands how to apply MLOps principles in production environments To be successful in this role you must have hands-on experience designing and deploying ML models More ❯

or high-traffic environment) Hands-on Kubernetes know-how, specifically with EKS. Solid IaC experience with Terraform or CloudFormation. Comfortable scripting in Python at a decent level. Experience with containerisation (Docker, Helm) and CI/CD (GitHub Actions or similar) A good communicator who enjoys working collaboratively across product and engineering The client is willing to take someone that doesn More ❯

experience with a range of relevant technologies e.g. IntraID, Office 365, Access Manager, Github, Atlassian stack You have a strong appreciation of security, DevOps principles, CI/CD and Containerisation best practices You have Python, PowerShell or bash scripting skills and automation experience You're collaborative with great communication skills What's in it for you: As a Senior Systems More ❯

a regulated or high-traffic environment) Previous experience working with Monitoring and Observability Tools Hands-on Kubernetes know-how, specifically with EKS. Solid IaC experience with Terraform. Experience with containerisation (Docker, Helm) and CI/CD (GitHub Actions or similar) A good communicator who enjoys working collaboratively across product and engineering The client is willing to take someone that doesn More ❯

conception through to completion and launch. Python Developer Experience: * Python, including APIs, data structures, and async processing * Databricks/Microsoft Fabric * Cloud, preferably Azure (Data Lake, Functions, App Services) * Containerisation with Docker and CI/CD pipelines * MLOps tooling (MLFlow, Git-based versioning, environment tracking) Desirable Skills & Interests * LangChain, Langflow, or similar frameworks for building AI agents * LLMs or intelligent More ❯

learning frameworks (e.g. TensorFlow, PyTorch) Exposure to cloud platforms (AWS, GCP, or Azure) Experience with experimental design, research methods, or academic publishing Understanding of MLOps, version control (Git), or containerisation (e.g. Docker) Benefits: 💰 Competitive Salary & Bonus : £35,000 – £45,000 plus bonus 🏡 Hybrid Working : A flexible mix of office and remote work 📈 Career Growth : Structured professional development, mentorship, and training More ❯

e.g. PyTorch, TensorFlow). Exposure to cloud platforms (AWS, GCP, or Azure). Experience with experimental design, research methods, or academic publishing. Understanding of MLOps, version control (Git), or containerisation (e.g. Docker). Benefits: 💰 Competitive Salary & Bonus: £35,000 – £45,000 plus bonus 🏢 Central London Office: Modern workspace in the heart of the city 🏡 Hybrid Working: Flexible mix of office More ❯

of 30+ in complex environments Experience scaling engineering functions in a cloud-first or SaaS business (AWS preferred) Strong grasp of modern development practices (CI/CD, IaC, microservices, containerisation, etc.) Adept at fostering high-performing product engineering cultures, especially through periods of change or growth Experience working with geographically distributed teams and collaborating across functions (product, architecture, QA) Excellent More ❯

in Python, Scala, or PySpark. * Familiarity with Power BI, SharePoint, and data integration technologies. * Understanding of DevOps, CI/CD, and cloud concepts (IaaS, PaaS, SaaS). * PowerShell scripting, containerisation, Semarchy MDM, NEC Housing, PL/SQL, and Total Mobile/Repairs solutions. In accordance with the Employment Agencies and Employment Businesses Regulations 2003, this position is advertised based upon More ❯

Working with the Systems Integrator who provide the middleware, so capable of engaging with vendors Deep understanding of modern IT infrastructure and platforms including cloud (AWS, Azure, GCP), microservices, containerization, and APIs. Knowledge of enterprise frameworks such as TOGAF, ArchiMate, and associated methodologies. Familiarity with regulatory standards and security considerations within the financial services domain. Extensive experience in Agile delivery More ❯

marketing spend optimisation. Proficiency in Python, SQL, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, and PyTorch. Expertise in cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong leadership skills with experience mentoring and managing data science teams. Deep knowledge of media measurement techniques, such as media mix modelling. Experience with advanced AI More ❯

as TensorRT, ONNX Runtime, and OpenVINO. Proficiency with CUDA programming and optimizing code for GPU acceleration. Strong background in MLOps practices, including CI/CD using GitHub Actions and containerization with Docker. Excellent problem-solving skills and the ability to thrive in a fast-paced, high-intensity environment. Experience contributing to major open-source projects is a significant advantage. 🌟 Cultural More ❯

Background: Expertise in PyTorch or TensorFlow, distributed computing, and multi-GPU training Robotics experience, particularly in reinforcement/imitation learning Experience in cloud infrastructure (AWS, GCP, or Azure) and containerization Ability to translate research papers into deployable systems Researcher Background: PhD or advanced degree in Robotics, Machine Learning, or a similar field Experience with top-tier conferences like CoRL, ICRA More ❯

Terraform for scalable and secure provisioning. Compliance & Security: Ensure platform provisioning aligns with ISO and SOC compliance standards while collaborating with the InfoSec team to maintain security best practices. Containerisation & Orchestration: Deploy and manage containerised applications using Docker and other orchestration tools. Observability & Monitoring: Provision and maintain observability platforms such as DataDog, Splunk, or New Relic to gain monitoring and More ❯

Lead Systems Administrator: Linux Our client actively encourages diversity, equality and inclusion within its workforce and welcomes applications from a diverse background, REC Solutions Limited does not discriminate in regards to age, gender, national origin, religion or any other basis. More ❯

As a Data Specialist at this tech scaleup in London, you will analyse, collect, sort, and create data solutions that integrate across multiple products. You will steer decisions regarding data and build the models that power their products. You will More ❯