1 to 25 of 30 Docker Jobs in Slough

streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and practices (e.g., Azure DevOps, Jenkins, Docker, Kubernetes). Experience working in a financial services or economic data environment. Azure certifications related to data engineering (e.g., Azure Data Engineer Associate). More ❯

/ELT pipelines or data processing services. Familiarity with SQL and NoSQL databases. Understanding of data privacy and security concepts. Tooling & Infrastructure: Experience with CI/CD pipelines, containerization (Docker/Kubernetes), and version control systems (e.g., Git). Ways of Working: Comfortable working in Agile/Scrum environments, participating in sprint planning, stand-ups, and retrospectives. Experience using Agile More ❯

skills and attention to detail Preferred Qualifications: Experience in Natural Language Processing (NLP), computer vision, or recommendation systems Knowledge of DevOps practices for AI model deployment Familiarity with containerization (Docker/Kubernetes) Experience with real-time data processing and analytics Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, AI, or related field Soft Skills: Strong communication More ❯

systems and scripting (Bash, Python, etc.). Strong analytical and problem-solving skills, with attention to detail. Excellent communication and collaboration skills. Nice to Have: Experience with containerized environments (Docker/Kubernetes). Exposure to other messaging platforms (Kafka, RabbitMQ, MQ). Understanding of DevOps tools and CI/CD pipelines. Knowledge of cloud environments (AWS, Azure, GCP) and cloud More ❯

Startup-ready, pragmatic, problem-solver with a "get things done" attitude. Preferred BackgroundExposure to property, fintech, or marketplace platforms. Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes). Understanding of modern security practices and performance optimization. Compensation & Benefits: Competitive salary with the potential for equity options based on performance, recognising exceptional contributions to our integration More ❯

z2bz0 heads) in global banks. Experience with Microsoft-based legacy systems (.NET, C#, SQL, Azure, on-prem/cloud) and emerging technologies including Linux, Java, microservices, and containerisation (Docker, Kubernetes, Helm, Camunda). Proficiency in CI/CD pipelines (Jenkins), version control (GitHub/GitLab/BitBucket), backend/frontend frameworks (Spring Boot, Angular, React), cloud and data platforms (Azure More ❯

engineering role. Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes). Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm). Familiarity with data engineering concepts such More ❯

the ability to work independently or within a team. Preferred Qualifications Advanced Degrees: Master’s in Data Science or Software Engineering. Cloud & DevOps: Experience with AWS cloud services, Terraform, Docker, Kubernetes Agile/DevOps: Experience with Agile methodologies, CI/CD pipelines, and project management tools (Jira, Confluence, Bitbucket). AI/ML: Exposure to AI/ML projects or More ❯

and NoSQL databases Familiarity with Git and collaborative workflows, background workers/task queues (e.g. Celery, RQ), and caching/pub-sub systems such as Redis Experience with containerisation (Docker, Kubernetes), asynchronous processing, DevOps, and cloud deployment environments An ability to solve complex problems, work under shifting priorities, and thrive in a fast-paced startup environment Why this is a More ❯

Skills: Experience with other core AWS services: Route53, S3, EC2, ECS, VPC, IAM, DynamoDB, CloudFront . Infrastructure as Code (IaC) using Terraform or CloudFormation. Experience with Jenkins, Git (Gitflow), Docker, and monitoring tools like CloudWatch or DataDog . The Offer: Initial 6-month contract with a high likelihood of extension. A key role in a high-profile, innovative project at More ❯

and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations or regulated industries. Strong working knowledge of Excel, SQL, Power BI, and More ❯

systems programming , concurrency , networking , and low-level performance optimisation Experience with microservices , distributed systems , or blockchain technologies is highly desirable Familiarity with Linux systems , CI/CD pipelines , containerisation (Docker/Kubernetes) , and cloud infrastructure (AWS, GCP, or Azure) A pragmatic engineer who values clean code, testing, and long-term maintainability Why Join Us Work on technically challenging projects where More ❯

compliance, governance of all ML processes and workflows. What We Look For Experience building and operating ML infrastructure, ideally in production environments serving real users. Strong proficiency in containerisation (Docker, Kubernetes) and orchestration of multi-stage ML workflows. Hands-on experience with ML platforms and tools such as MLflow, Kubeflow, Vertex AI, SageMaker, or similar model management systems. Practical knowledge More ❯

optimising complex applications Strong proficiency in data tools like Pandas, NumPy, SQL, and real-time data processing Familiarity with DevOps practices, including Linux, cloud platforms, and CI/CD (Docker/Kubernetes is desirable but not essential). Strong communication skills, managing technical and business conversations Compensation: Salary and bonuses are highly competitive DOE More ❯

as Lovable, Bolt, or Cursor as a collaborator. Nice to Have: Some experience in backend development (Python/Java/Go) Experience with container orchestration and service containerisation (Kubernetes, Docker) Worked in an IoT or Edge-oriented architectures Experience or knowledge in retail POS, inventory, or loyalty systems More ❯

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 opportunities 🛠 Modern More ❯

Python using PyTorch/TensorFlow/JAX framework. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply them to optimise production systems. Problem solving More ❯

customers to solve applied problems, including product integration. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply them to optimise production systems. Problem solving More ❯

. Experience implementing machine learning and large language models (LLMs), encompassing deployment, monitoring, and retraining. Familiarity with software engineering guidelines: version control (e.g., Git), CI/CD, containerization (e.g., Docker), and workflow orchestration. Knowledge of cloud platforms and scalable compute environments (Azure preferred). Understanding of data governance, model documentation, and reproducibility in a regulated or research-heavy context. Ability More ❯

hosting environments Automate testing and deployments Enhance platform security in a regulated environment What You’ll Bring 6+ years’ DevOps experience Strong Linux skills; AWS & Terraform certified Skilled in Docker, Kubernetes, MySQL, GitLab CI Motivated, collaborative, and comfortable in a fast-moving environment More ❯

data analysis Collaborate closely with traders and technical teams to deliver impactful solutions What You'll Bring: Strong Python and SQL expertise Experience with AWS and Snowflake Familiarity with Docker/Kubernetes, CI/CD, and Linux Background in trading is highly desirable Ability to communicate effectively with both technical and commercial stakeholders Benefits: Up to 30% bonus Hybrid working More ❯

experience with integrations (APIs, SFTP, SharePoint, webhooks) Hands-on experience with workflow orchestration tools (Temporal, Dagster) Comfortable working with and improving generated code Experience with CI/CD pipelines, Docker, and cloud platforms (Azure/AWS/GCP) Understanding of modern software architecture patterns Disclaimer: Research indicates that men will apply to a role when they only meet More ❯

/CD pipelines. Define non-functional requirements and performance acceptance criteria. Analyze performance test results and production metrics to identify trends, risks, and improvements. Work with modern technologies including Docker, Kubernetes, Kafka, and NoSQL databases. Mentor junior testers and drive continuous improvement in performance testing practices. What we’re looking for: 5+ years’ experience in non-functional/performance testing More ❯

Technical Quant Developer with deep Computer Science expertise applied to Python, SDLC tooling, Linux, Docker, and SQL sought to join a Boutique Quant Hedge Fund.You will join as a more junior member, as part of a small team designing and implementing a central platform for Backtesting, Pricing, Risk and Performance, to be used across all Funds and Investment teams. Finance … Central Risk Calculations, and Backtesting Frameworks, to be used by diverse Investment teams as part of their daily work. The platform is pure Python, with SQL, on Linux and Docker platform. Python is the primarily required skill, however mastery of Linux/Docker environments and SDLC tooling such as GitLab CI/CD would be extremely highly regarded. In return … said subject(s) preferred. Strong Python skills, as per 3+ years of professional experience in a technically and/or scientifically complex and competitive environment. Proficiency in Linux and Docker including system administration and containerization for deployment and scaling. Hands-on experience with continuous integration and delivery systems such as Jenkins and GitLab CI/CD and a strong understanding 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 ❯