126 to 135 of 135 Docker Jobs in Berkshire

and frameworks, working with the memory, performance and power constraints of these systems. Embedded Systems Experience of developing and debugging, including cross-compiling for different hardware architectures, virtualisation and docker concepts. Able to work in a structured software development environment that includes: Architecting & documenting designs. Following coding guidelines. Developing unit and system tests. Degree in Electrical/Electronic Engineering, Physics More ❯

maintain CI/CD pipelines for GPU-accelerated codecs and AI/ML libraries. Automate performance benchmarking and regression testing across multiple GPUs and hardware targets. Manage containerised environments (Docker, Kubernetes) to deploy GPU and ML workloads at scale. Provision and optimise GPU cloud infrastructure (AWS, GCP, Azure) using Terraform/Ansible. Collaborate with GPU engineers and researchers to integrate … workflows, including ML inference and neural compression pipelines. Requirements: Hands-on experience with CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI, etc.). Proficiency in containerisation and orchestration (Docker, Kubernetes). Experience with cloud GPU infrastructure (AWS, Azure, GCP) and IaC (Terraform, Ansible). Familiarity with GPU workflows (CUDA, SYCL, Vulkan, OpenCL) or HPC performance optimisation. Strong scripting and More ❯

a focus on clean architecture and maintainability Full-Stack Delivery: Implement front end components in React and Next.js, integrating seamlessly with your C# APIs. DevOps & Deployment: Containerize applications with Docker, orchestrate with Kubernetes, and manage GitOps deployments using ArgoCD. Cloud Infrastructure: Leverage Microsoft Azure services (App Services, Functions, AKS, SQL Database, etc.) to host, scale, and secure applications. CI/… C#/.NET: 4+ years of professional experience building backend services. Frontend: Solid understanding of React.js and Next.js; able to implement responsive, performant UIs. DevOps Tooling: Hands on with Docker, Kubernetes, GitHub, ArgoCD (or similar GitOps), and Snyk. Cloud Platforms: Proven track record deploying and managing applications on Azure. Databases: Comfortable modelling, querying, and tuning PostgreSQL and MSSQL databases. Observability More ❯

Loyalty and Benefits platform, designed to be able to handle all aspects of the Loyalty and Benefits customer experience, globally. Built using modern tools such as Golang, Kafka and Docker, there is ample opportunity to drive innovation and grow knowledge and skills as an Engineer. As a Software Engineer on an Scrum team, you will be building and enhancing features … Scrum, Kanban, SAFe, Test-Driven Development (TDD), Behavior Driven Development (BDD) and Waterfall) Knowledge of any or all of the following technologies is desired: Kafka, Postgres, Golang, Git, gRPC, Docker, GraphQL · Experienced in continuous integration (CI), continuous deployment (CD) and continuous testing (CT), including tools such as Jenkins, Rally and/or JIRA and version control such as GIT or More ❯

as Code (IaC) adoption using Terraform and CloudFormation Build, optimise, and automate CI/CD pipelines with Jenkins, GitHub Actions, and related tools Deploy and manage containerised solutions with Docker, Kubernetes, and Helm Implement strong security and access controls using IAM, Vault, and Secrets Manager Enhance platform observability using Prometheus, Grafana, and ELK Stack Collaborate with cross-functional teams to … deliver robust, high-availability solutions Key Skills & Experience Extensive hands-on experience with AWS (Azure knowledge beneficial) Expertise in Terraform, CloudFormation, and automation tooling Strong containerisation skills with Kubernetes, Docker, and related platforms Proven background in cloud security, IAM, and governance Solid understanding of monitoring and observability stacks Ability to influence architecture decisions and align solutions to best practices Desired More ❯

The company is a London-based leader in software and intellectual property, pioneering innovations in data and media compression using artificial intelligence and parallel computing techniques. The organization has built a significant portfolio (with over a thousand patents) and is More ❯

in Java 🛠️ Lead on requirements, design workshops, and solutioning 🤝 Mentor junior engineers and share best practices ☁️ Implement & optimise microservices and distributed systems on GCP (GKE, PubSub, BigQuery, Dataflow) using Docker & Kubernetes 🔄 Build and manage efficient data pipelines with streaming tech + relational/NoSQL databases ✅ Ensure high quality through robust unit, integration, and non-functional testing ⚡ Contribute to CI/… Java & OOP experience 📊 Background in data platforms, frameworks & streaming technologies 🧩 Familiarity with microservices & distributed systems ☁️ Exposure to GCP (GKE, PubSub, BigQuery) 🗄️ Experience with relational/NoSQL databases 🐳 Proficiency with Docker & Kubernetes 🔄 Solid understanding of engineering best practices (CI/CD, Git, testing) 🧠 Problem-solving mindset & curiosity for new technologies 👉 If this sounds like your kind of challenge, I’d love More ❯

Responsibilities: Design and deploy scalable, high-performance cloud infra for ML workloads Build and manage GPU clusters, storage systems, and distributed training environments Set up and optimise containerised workflows (Docker, Kubernetes, Terraform) Implement robust monitoring, incident response, and CI/CD practices Collaborate closely with researchers to integrate and scale experiments This person must have experience building ML Infrastructure and … cloud architecture from scratch Key Details: Salary: £100k–£130k (flexible for strong profiles) Working Model: On-site, London Tech Stack: AWS/GCP/Azure, Kubernetes, Docker, Terraform, Python, MLflow/Prometheus/Grafana If you want to shape the backbone of one of Europe’s most ambitious AI startups, we’d love to hear from you. More ❯

leadership and strategy Proven experience designing scalable data architectures and pipelines Strong Python, SQL, and experience with tools such as Airflow, dbt, and Spark Cloud expertise (AWS preferred), with Docker/Terraform A track record of delivering in fast-paced, scale-up environments Nice to have: Experience with streaming pipelines, MLOps, or modern data architectures This is a great opportunity … and directly influence product innovation at scale. Apply today or get in touch for more details. Desired Skills and Experience Python, SQL, AWS, Amazon Web Services, CI/CD, Docker, Terraform, Airflow, DBT More ❯

closely with clients and cross-functional delivery teams Lead junior engineers within project pods Key Details Working model : Hybrid (3 days/week in central London) Tech stack : Python, Docker, AWS (Lambda, Step Functions, Bedrock), CI/CD, LLM APIs Desired Skills and Experience Python PyTorch AWS Docker CI/CD More ❯