251 to 275 of 322 Docker Jobs in Central London

you can bring Strong Python skills, including experience with data processing libraries (e.g. Numpy, Pandas). Bonus: RasterIO or other geospatial tooling experience. Experience with AWS and containerised environments (Docker). Familiarity with backend frameworks (FastAPI, Flask, or Django). Experience working with data pipelines, ML workflows, or MLOps-style environments. Ideally some experience with TypeScript for visualisation or frontend More ❯

taking projects from the ground up and scaling them successfully. Strong programming background in Go , with solid knowledge of distributed systems and event-driven architecture. Hands-on experience with Docker, Kubernetes , and message-based systems such as Kafka or NATS . Confident communicator who can bridge technical and product conversations with ease. Motivated by building technology with a genuine, human More ❯

mentoring others. Familiarity with document processing, NLP, or knowledge-graph-style systems. Previous exposure to enterprise integrations or SaaS products. Comfort working with cloud-native infrastructure (e.g. AWS, GCP, Docker). Why Join Deep ownership and autonomy — direct impact on product and strategy. High-trust, intellectually honest culture. Competitive comp and equity with strong growth potential. Opportunity to work with More ❯

TypeScript etc? Experienced working on cloud platform such as AWS, Google Cloud and have a good understanding of cloud infrastructure? Experienced working with Containers and Orchestration tools such as Docker & Kubernetes? Looking to work for a company working along side engineers who love to solve complex, end to end, cloud native transformation challenges for their customers? Enjoy working remotely and … across a range of tooling in the following areas: Programming: with at least one language; Python, Go, Java, Ruby, TypeScript etc Cloud: Either AWS, GCP, Azure Container/Orchestration: Docker, Kubernetes IAC: Terraform, Cloud Formation, CrossPlane, Ansible (Config Mgt) CI/CD: CircleCI, GitHub Actions, Jenkins, etc The Role: Hands-On: The Senior Engineering role is hands-on working across More ❯

Jenkins, GitLab, Argo). Ensure pipelines follow best practices to expedite software releases, while maintaining high-quality standards and minimizing risks. Container Orchestration: Manage, maintain, and scale Kubernetes and Docker clusters across various jurisdictions with different regulatory requirements, ensuring that platforms remain secure, compliant, and efficient. Infrastructure as Code (IaC): Design, automate, and manage AWS infrastructure using Terraform, adhering to … AWS and native services, particularly EKS, EC2, VPC, S3, and Transit Gateways. Experience with other major cloud platforms (GCP, Azure) is a plus. Containerisation & Orchestration: Extensive knowledge of containerisation (Docker) and orchestration platforms (Kubernetes). Ability to deploy and manage clusters at scale. Database Familiarity: Solid understanding of database systems such as Oracle, PostgreSQL, MongoDB, with an ability to optimise More ❯

and experience: Highly skilled with both Python & Go Proven experience building systems from scratch Experience working on data heavy, real-time or high-throughput systems Strong exposure with AWS, Docker & Kubernetes Paying £650-£750 Outside IR35 6-month initial engagement with potential extension 3-days a week in Central London Staff Engineer - Python, Go, AWS More ❯

Understanding of predictive modelling, machine-learning, clustering and classification techniques Fluency in Python and SQL Nice to have: Experience using Databricks Experience using Microsoft Azure Experience with RabbitMQ and Docker Experience using dbt More ❯

join their globally scaling team. Must have the following: 10+ years Backend Development - Golang, Python and Rust Experience in a start-up/scale-up environment Real-time systems Docker and Kubernetes You will be developing and integrating automation tools and services, delivering scalable, reliable code, design and build part of a real-time engine for orchestration. Apply now for More ❯

build native Elasticsearch ingest pipelines using various processors (grok, dissect, script, kv, CSV, geo_IP) for event normalization and enrichment. Strong knowledge of Linux system administration and container orchestration (Docker, Kubernetes). Familiarity with modern observability frameworks like Open Telemetry and Prometheus and their integration with Elastic. More ❯

office and development team to build cutting-edge and scalable systems. You will be dedicated to maximising performance across Windows Infrastructure, Azure VDI, and PowerShell automation. Any experience with Docker/Kubernetes is a plus; if not, this will be an opportunity to develop your skills in containerisation. You'll be working in a fast-paced and highly techncial environment More ❯

Role: Splunk Developer Location: Birmingham (Hybrid) Duration: Contract Job Description: Strong experience in Splunk development & administration . Proficiency with ELK Stack (Elasticsearch, Logstash, Kibana) . Hands-on experience with Docker and Kubernetes (K8s) for container orchestration. Solid understanding of log management, observability, and monitoring frameworks . Knowledge of scripting languages (Python, Shell, or PowerShell) for automation. Familiarity with REST APIs More ❯

management best practices. Proficiency with data processing frameworks, automation, and deployment workflows. Hands-on experience in developing data services and applications that automate business processes. Familiarity with Zema, containerisation (Docker), and continuous deployment tools is highly advantageous. Committed to data quality, reliability, and governance standards. Why Join: This is a unique opportunity to lead the evolution of market data technology More ❯

mindset: pragmatic, hands-on, and motivated by ownership. Nice to Have Experience with mobile app build and release pipelines (App Store, Play Store). Familiarity with CI/CD, Docker, and cloud-native workflows (ideally in GCP). A track record of building B2C products where user experience, engagement, and scalability are front and centre. Comfort balancing UX with performance More ❯

all the better – many of our users have too. That context matters to us. Tech stack: Python, TypeScript, MySQL, GraphQL, React Native (including React Native for Web), Django, Celery, Docker, Kubernetes. You don’t need to know everything on day one, but you’ll be working across all of it, so a full-stack mindset is key. Salary Range: £50k More ❯

all the better – many of our users have too. That context matters to us. Tech stack: Python, TypeScript, MySQL, GraphQL, React Native (including React Native for Web), Django, Celery, Docker, Kubernetes. You don’t need to know everything on day one, but you’ll be working across all of it, so a full-stack mindset is key. Salary Range: £50k More ❯

all the better – many of our users have too. That context matters to us. Tech stack: Python, TypeScript, MySQL, GraphQL, React Native (including React Native for Web), Django, Celery, Docker, Kubernetes. You don’t need to know everything on day one, but you’ll be working across all of it, so a full-stack mindset is key. Salary Range: £50k More ❯

Temporal or Dagster. Practical experience using AI-assisted development tools in a production environment. Comfort working with auto-generated code and improving automation workflows. Familiarity with CI/CD, Docker, and major cloud platforms. An interest in AI and improving team-wide adoption of AI tooling. Benefits Competitive compensation and equity. 25 days annual leave plus public holidays. Strong pension More ❯

teaching ability — whether you've formally taught, mentored or coached technical teams. Mathematical depth — clear understanding of the theory behind ML algorithms. Practical knowledge of tools like FastAPI, MLflow, Docker, and cloud environments (AWS/Azure/GCP). Excellent communication — able to simplify complex technical ideas for learners of mixed ability. Bonus points for: Experience with NLP/LLMs More ❯

frameworks like TensorFlow, PyTorch, and scikit-learn. You are familiar with cloud platforms (e.g., AWS), big data technologies (e.g., Spark), and technologies used to deploy models to production (e.g., Docker). Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out More ❯

Role: Software Engineer (Python, Go, Docker, Kubernetes, Cloud...) Location: Remote (with occasional collaboration days) Are you... A software Engineer with 3+ years experience, working with modern programming with one or more programming languages such as Python (ideally) and/or Go, Java, Ruby, TypeScript etc? Experienced working on cloud platform such as AWS, Google Cloud and have a good understanding … of cloud infrastructure (Docker, Kubernetes)? Looking to work for a company working along side engineers who love to solve complex, end to end, cloud first transformation challenges for their customers? Enjoy working remotely and/or like the opportunity to pop into the office to meet colleagues or even change if scenery when you like? About: Our client are a … Java, Python, Ruby, TypeScript etc Cloud: Either AWS, GCP, Azure IAC: Terraform, Cloud Formation, CrossPlane, Ansible (Config Mgt) CI/CD: CircleCI, GitHub Actions, Jenkins, etc Container/Orchestration: Docker, Kubernetes The Role: Hands-On: The Senior Engineering role is hands-on, solving complex problems, building highly efficient systems, with technical excellence at the heart of everything you do. Communication More ❯

Develop and maintain CI/CD pipelines to enable continuous integration and delivery Automate system deployments, configuration, and monitoring for reliability and performance Manage and optimise containerised applications using Docker and Kubernetes Collaborate with developers, security engineers, and architects to deliver high-quality solutions For Senior Engineers: Provide technical leadership, mentor team members, and contribute to solution design decisions Skills … IAM, Lambda, ECS/EKS) Expertise in Infrastructure as Code (Terraform, CloudFormation) Strong knowledge of CI/CD tools (Jenkins, GitHub Actions, GitLab CI) Experience with containerisation and orchestration (Docker, Kubernetes) Scripting ability with Python or Bash Version control experience (Git) Apply Now and help shape the future of UK digital services with Amber Labs. More ❯

learn, PyTorch/TensorFlow), SQL, NoSQL, Spark, big data ecosystems Visualisation & APIs: REST/JSON, Postman, Flask/FastAPI, Power BI/Tableau, D3.js DevOps & Cloud: CI/CD, Docker, AWS (S3, Lambda, SageMaker), Kubernetes, Terraform/CDK ML Ops & Automation: MLFlow, feature stores, model monitoring, A/B testing Data Security & Compliance: Secure SDLC, ISO/NIST, data governance … data science models or data engineering pipelines from concept to production. Strong Python skills plus SQL and data visualisation experience. Hands-on with cloud platforms (AWS preferred) and containerisation (Docker/Kubernetes). Experience working with Defence, Government, or National Security data environments. Security Clearance: Active SC or DV (must be current). Nice-to-haves 🌳 Military background (RAF, Army More ❯

Candidates should be SC Cleared or Eligible for Security Clearance Key Responsibilities Build, manage, and optimize CI/CD pipelines using Jenkins and GitHub Actions. Automate application deployment using Docker, Kubernetes, and infrastructure-as-code tools like Terraform. Integrate automated testing, code quality checks, and security scans into the CI/CD pipeline. Maintain and administer DevOps toolchain components including … and API scripting. Hands-on knowledge of Python, JavaScript, or C++. Experience in system administration and automation. Experience with developer onboarding, usability testing, and facilitation. Expertise in Terraform (IaC), Docker, Kubernetes, AWS, Azure. Monitoring and alerting experience with CloudWatch, Prometheus, or Grafana. Backlog management, roadmap planning, and stakeholder alignment. SSDLC, secrets management, dependency scanning, and compliance standards like ISO More ❯

ELT , data integration, and automation. Experience leading or mentoring technical teams. Exposure to commodities or financial trading environments . Familiarity with curve management , APIs, and modern deployment tools (e.g. Docker, CI/CD). Knowledge of platforms such as Zema and data from Price Reporting Agencies is an advantage. This is an opportunity to take ownership of critical data infrastructure More ❯

deploying ML models in production environments. Strong Python skills, with experience in frameworks like PyTorch, TensorFlow, or Hugging Face. Confident working in AWS or similar cloud environments (SageMaker, Lambda, Docker, etc.). Experienced in (or eager to explore) areas such as forecasting, optimisation, reinforcement learning, generative AI, or computer vision. Solid engineering mindset, you know how to take models from More ❯