1,351 to 1,375 of 2,414 Docker Jobs in the UK

with AI platform services (e.g. AWS Bedrock, or the OpenAI or Anthropic APIs) Vector databases/retrieval-based approaches AWS and Cloud Infrastructure MCP Docker/Kubernetes We look for the following SMART values in everyone we hire at Smart Communications: S peak Openly - We are positive, creative, helpful, kind ...

engineering - and broad familiarity with common algorithms and architectures. Strong Python (pandas, NumPy, etc.) and SQL skills Comfortable with the standard ML toolkit: Git, Docker, scikit-learn, PyTorch or TensorFlow, and ML pipelines. Hands-on experience with text data and relevant Natural Language Processing techniques. Solid experience with cloud technologies ...

Experience with cloud data and ML platforms, ideally AWS (S3, SageMaker Pipelines, Glue) and/or GCP, and MLOps practices (MLflow, CI/CD, Docker, infrastructure as code). Ability to build BI dashboards (Power BI or Tableau) and quick, visual prototypes (for example Streamlit or React). Excellent written ...

management. Proficient in securing APIs, managing authentication/authorization and data privacy practices. Practical experience deploying and debugging scalable cloud‐native services using PaaS, Docker, and Kubernetes. Excellent problem‐solving skills, with the ability to analyse complex technical challenges and propose scalable solutions. Desired skills and competencies Interest or exposure ...

adopt them. Deep experience with CI/CD at scale (GitHub Actions, Azure DevOps, Octopus Deploy or similar). Strong hands-on Kubernetes and Docker experience, including setting standards for teams who deploy to it. Experience with GitOps and progressive delivery (Flux, Argo CD, Flagger or similar). Strong infrastructure ...

Deep understanding of databases, particularly MongoDB or similar NoSQL systems Extensive experience with microservices architecture and inter-service communication Expert-level understanding of containerization (Docker) and orchestration (Kubernetes) Experience establishing technical standards and patterns across teams Strong architectural thinking with ability to balance trade-offs Track record of mentoring ...

ability. Experience securing systems that bridge on-prem and cloud boundaries (e.g. HPC/HTC compute farms, hybrid data planes).Understanding of container runtimes (Docker and/or HPC/HTC-oriented alternatives like Apptainer/Singularity) and their networking/security implications. You might also have: Experience with Kubernetes ...

Clearance (current or previous preferred) Nice to have: Ability to use data visualization and debugging tools to support autonomy control development Experience developing in Docker and containerized development environments, using Linux-based operating systems (e.g., RHEL, Ubuntu), source control systems, and artifact registries Understanding of key technologies: C++, Python, DevOps ...

rather than only consuming off-the-shelf tools. Strong Python engineering skills, including API development, integration patterns, testing and maintainable code. Experience with SQL, Docker, cloud services and CI/CD is expected. Experience deploying solutions on a cloud platform, ideally Microsoft Azure, with a sound understanding of identity, security ...

specialized focus in Python and Generative AI application development). Solid Python programming proficiency, with practical experience integrating REST/gRPC APIs, Docker containers, and Git workflows. Strong working knowledge of AI evaluation frameworks, benchmarking methodologies (BLEU, ROUGE, semantic similarity, LLM-as-a‐judge), and automated testing suites. Experience ...

Check out our Tech Blog. What you'll be doing: Design, build and enhance services using Java 21+, Spring Boot, Kafka, Elasticsearch, Couchbase, SQL, Docker and GradleWork closely with Product Managers, Designers, Engineers and stakeholders to solve meaningful business challengesOwn features from idea through to production, helping shape both technical ...

tech stack Mobile: TypeScript, React Native, Expo, EAS, GraphQL, Relay, Jest, React Testing Library, Maestro. Backend: Kotlin, PHP 8 (Symfony), AWS, Postgres, RabbitMQ, Docker, Kubernetes. Tooling and observability: GitHub, GitHub Actions, Jira, Confluence, Datadog, Sentry, Grafana. Interview process Quick call with a Recruiter 15 minute cognitive test Hiring manager interview ...

Experience securing systems that bridge on-prem and cloud boundaries (e.g. HPC/HTC compute farms, hybrid data planes). Understanding of container runtimes (Docker and/or HPC/HTC-oriented alternatives like Apptainer/Singularity) and their networking/security implications. You might also have: Experience with Kubernetes ...

Tech Blog . What you'll be doing: Design, build and enhance services using Java 21+, Spring Boot, Kafka, Elasticsearch, Couchbase, SQL, Docker and Gradle Work closely with Product Managers, Designers, Engineers and stakeholders to solve meaningful business challenges Own features from idea through to production, helping shape both technical ...

culture with a strong focus on engineering quality, automation, and operational excellence. Our core technologies include: Backend: Python (primarily Django) Infrastructure: AWS, Docker, ECS Data: PostgreSQL, Redis, Snowflake Messaging: SQS, SNS CI/CD: GitHub Actions Testing: Strong focus on automated unit and integration testing Strong Engineering Fundamentals: Proven experience ...

leading through influence rather than formal line management. Desirable Qualifications Experience with AWS, particularly Lambda, ECS, EC2 and cloud‐native architectural patterns. Experience with Docker, infrastructure as code and environment automation. Experience with messaging, event streaming or other event‐driven technologies. Experience with BFF patterns, Blazor and MudBlazor. Experience establishing ...

them into something a model can query, through a metrics layer, metric views or an MCP server. Time with CI/CD, Docker, cloud infrastructure (we’re on Azure) and observability. Even better if you set them up for a team. An interest in the business behind the data. ...

systems. Familiarity with radar, RF, EO/IR, or other sensing modalities — e.g. analyzing signal spectra to characterize or classify RF emissions. Experience with Docker and containerized deployment of sensor/fusion components. Experience with Python for tooling, testing, or data analysis. Soft skills: Strong analytical and problem‐solving skills ...

operate it” culture with a strong emphasis on ownership, experimentation, and continuous improvement. Frontend : React, TypeScript, Storybook Backend: Python (Django) Infrastructure: AWS, Docker, ECS, PostgreSQL, Redis, SQS, SNS Tooling & Delivery :GitHub, GitHub Actions, CI/CD pipelines Testing: Strong focus on unit, integration, and end-to-end testing using tools ...

that scale, and feeding the results into LLM or agentic pipelines with the latency and precision they need to be useful. Fluency with Docker, Git and cloud platforms (AWS preferred). Understanding of secure deployment patterns: air‐gapped, on‐premises or sovereign cloud. A builder's mindset: you ship real ...

systems. Experience introducing engineering practices or AI tooling across a team. Things We Use Daily Languages and Frameworks: JavaScript, NodeJS, ReactJS, TypeScript, GraphQL Deployment: Docker, AWS, Kubernetes Source Control: Git, GitHub AI Tooling: Codex, ChatGPT, Gemini What benefits do we offer? 25 days holiday (plus bank holidays) and extra days ...

service development, Postgres (or similar) for data persistence, and comfort with event-driven, async architectures. Working knowledge of ML frameworks (PyTorch, TensorFlow), containerisation with Docker and Kubernetes, and cloud platforms (AWS preferred). Think in Outcomes: You care about whether the system actually solves the underwriter's problem, not just ...

cloud platforms). Hands-on experience developing and maintaining production data pipelines, especially using serverless technologies. Strong software and infrastructure engineering practice: containerisation with Docker, infrastructure automation (preferably Terraform), and CI/CD pipelines. Practical data science experience building statistical and machine learning models, including feature engineering, hyperparameter tuning. Experience ...

redaction and content filteringExposure to agentic frameworksCloud and infrastructureComfortable working in at least one major cloud provider. AWS, GCP or AzureFamiliar with Docker and CI/CD pipelinesExperience with managed ML platforms such as SageMaker, Vertex AI or Azure MLData engineering and MLOpsExperience with data warehouses such as Snowflake, BigQuery ...

would be advantageous. Understanding of AI safety, data privacy, governance and responsible AI considerations would be advantageous. Experience with background workers, queues, asynchronous processing, Docker containers, monitoring or Infrastructure‐as‐Code would be advantageous. Practical and delivery‐focused, with strong ownership, accountability and attention to detail. Curious about emerging technology ...