14 of 14 Docker Jobs in Slough

engineering best practices Current SC clearance is a bonus – otherwise, you must be eligible Nice to have (or we’ll help you get there): Cloud platforms (AWS, Azure) Containerisation (Docker, Kubernetes) Database systems (SQL, NoSQL, Graph) Configuration & deployment tools (Ansible) Exposure to Machine Learning frameworks (TensorFlow, AWS/Azure ML) The Package Up to £72,000 base salary Bonus scheme More ❯

CD tools (e.g. Bamboo, Jenkins, TeamCity, Bitbucket) Automated testing frameworks and static code analysis tools (e.g. SonarQube) Agile methodologies (Scrum, Kanban, Lean) 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 to More ❯

that matter Preferred Tech Stack Expertise Cloud Infrastructure: AWS (EKS, RDS, Aurora, ElastiCache, Kafka, IAM) Secure Hosting: Experience working with air-gapped or government-secure environments Container & Cluster Management: Docker, Kubernetes, Rancher, Jenkins, Helm Monitoring & Observability: Prometheus, Grafana, ELK Stack, Dynatrace Secrets & Identity Management: HashiCorp Vault, Keycloak CI/CD & DevOps Tooling: Jenkins, Git, ServiceNow, Trivy, Terraform Streaming & Messaging: Apache More ❯

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 Accenture in More ❯

/Flask) • Design, develop, and own features end-to-end • Influence the evolution of our tech stack • Work with cutting-edge tools: GCP/AWS/Azure, MySQL, Firestore, Docker/Kubernetes, CI/CD, IaC • Champion security best practices in a regulated space • Explore AI & machine learning (LLMs, LangChain, TensorFlow, PyTorch) What you’ll bring: • Strong React & Python (FastAPI More ❯

working across security-first infrastructure and enabling robust DevSecOps practices. Essential Skills: Strong experience with AWS MSK (Kafka) and secure multi-account AWS environments Proven production experience with Kubernetes, Docker, Helm Proficient in Terraform, CI/CD Pipelines (Drone/GitLab) Excellent understanding of Kafka internals, stream processing, and secure Kafka deployments Strong experience across monitoring (Prometheus, Grafana, CloudWatch) Knowledge More ❯

and ML/DL libraries (NumPy, Pandas, scikit-learn). Proven track record of building and deploying ML models in production environments. Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes, or similar). Experience working with cloud platforms (AWS, Azure, or GCP). Solid understanding of CNNs, object detection, segmentation, and image classification. Strong problem-solving skills and ability More ❯

unstructured data, and information extraction Eagerness to learn, take feedback, and contribute to a collaborative team Nice to Have: Experience with SQL/NoSQL databases Familiarity with MLOps tools (Docker, Git, CI/CD) Exposure to vector databases or semantic search Knowledge of financial datasets or document processing workflows If you’re excited to grow your skills in machine learning More ❯

your peers and stakeholders Passionate about lifting those around you, while also continuously looking to grow your technical skills Understanding of various other tech stacks and services, i.e., AWS, Docker/K8s, Python, Typescript, C++, or similar An interest in sports/football is a definite benefit for this role About the team: Collaborative and people-oriented; they want you More ❯

YOLO family. Familiarity with model optimization techniques such as quantization and pruning, and deployment frameworks like TensorRT and OpenVINO. Experience with MLOps tools and practices, including version control (Git), Docker, and CI/CD with GitHub Actions. Excellent problem-solving skills and the ability to perform in a fast-paced, high-intensity environment. A strong portfolio of projects or contributions More ❯

applications processing real-time data and optimizing them for latency and memory. Experience using various profiling tools (e.g., gdb, Nsight, Valgrind, flame graph) to optimize the code. Experience with Docker, CI/CD pipelines. It would be great if you also have experience with one or more Edge/IoT computing (we have a fleet of deployed edge computers). More ❯

through to production Design and build scalable, containerised software solutions that incorporate data science components Make architectural decisions around tooling, frameworks, and development approaches Work with DevOps practices including Docker, Terraform, and cloud deployment (Azure preferred) Collaborate closely with cross-functional teams including product managers, data scientists, and business stakeholders Mentor and support junior engineers, helping to grow technical capability … 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 where More ❯

and lead the development of scalable data pipelines and platforms on AWS. The ideal candidate will have deep expertise in PySpark, Glue, Athena, AWS LakeFormation, data modelling, DBT, Airflow, Docker and will be responsible for driving best practices in data engineering, governance, and DevOps. Key Responsibilities: • Lead the design and implementation of scalable, secure, and high-performance data pipelines using … 10+ years of experience in data engineering. • Strong hands-on experience with AWS services: S3, Glue, Lake Formation, Athena, Redshift, Lambda, IAM, CloudWatch. • Proficiency in PySpark, Python, DBT, Airflow, Docker and SQL. • Deep understanding of data modeling techniques and best practices. • Experience with CI/CD tools and version control systems like Git. • Familiarity with data governance, security, and compliance More ❯

🔥 Who We Are At Ultralytics, we relentlessly drive innovation in AI, building the world's leading open-source models. We're looking for passionate individuals obsessed with AI, eager to make a global impact, and ready to excel in a More ❯