251 to 275 of 404 Docker Jobs in London

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 ❯

London office. What theyre looking for Strong experience in cloud infrastructure engineering (multi-cloud is ideal). Deep hands-on experience with PyTorch and other ML frameworks. Kubernetes and Docker expertise at scale. Experience setting up CI/CD pipelines for ML or data-heavy workloads. Someone who has worked with ML workloads in production. A self-starter who thrives More ❯

office. What they’re looking for Strong experience in cloud infrastructure engineering (multi-cloud is ideal). Deep hands-on experience with PyTorch and other ML frameworks. Kubernetes and Docker expertise at scale. Experience setting up CI/CD pipelines for ML or data-heavy workloads. Someone who has worked with ML workloads in production. A self-starter who thrives More ❯

office. What they’re looking for Strong experience in cloud infrastructure engineering (multi-cloud is ideal). Deep hands-on experience with PyTorch and other ML frameworks. Kubernetes and Docker expertise at scale. Experience setting up CI/CD pipelines for ML or data-heavy workloads. Someone who has worked with ML workloads in production. A self-starter who thrives More ❯

months. What theyre looking for Strong experience in cloud infrastructure engineering (GCP, AWS, or Azure is fine) Deep hands-on experience with PyTorch and other ML frameworks. Kubernetes and Docker expertise at scale. Experience with training models (ideally image or video models). Experience in training models is a must! If you have built models, even better. Experience setting up More ❯

deep learning libraries (e.g., PyTorch, TensorFlow, Keras). Solid understanding of neural network architectures (CNNs, RNNs, Transformers, etc.). Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Familiarity with MLOps practices and tools (e.g., MLflow, DVC, Airflow). Strong problem-solving skills and ability to work independently in a fast-paced environment. Preferred Qualifications: MSc More ❯

deep learning libraries (e.g., PyTorch, TensorFlow, Keras). Solid understanding of neural network architectures (CNNs, RNNs, Transformers, etc.). Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Familiarity with MLOps practices and tools (e.g., MLflow, DVC, Airflow). Strong problem-solving skills and ability to work independently in a fast-paced environment. Preferred Qualifications: MSc 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 More ❯

deep learning libraries (e.g., PyTorch, TensorFlow, Keras). Solid understanding of neural network architectures (CNNs, RNNs, Transformers, etc.). Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Familiarity with MLOps practices and tools (e.g., MLflow, DVC, Airflow). Strong problem-solving skills and ability to work independently in a fast-paced environment. Preferred Qualifications: MSc More ❯

and communicate clearly and concisely with both technical and non-technical audiences. Nice to haves: Experience in Python or MATLAB Experience in cloud and container technologies such as AWS, Docker, and Kubernetes Develop features on a range of systems written in Java, Python, and MATLAB, integrating with our proprietary trading systems and strategic SaaS providers, utilising industry best practices in More ❯

deep learning libraries (e.g., PyTorch, TensorFlow, Keras). Solid understanding of neural network architectures (CNNs, RNNs, Transformers, etc.). Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Familiarity with MLOps practices and tools (e.g., MLflow, DVC, Airflow). Strong problem-solving skills and ability to work independently in a fast-paced environment. Preferred Qualifications: MSc More ❯

office, or Market/Credit risk with a good understanding of risk sensitivities and f2b processes. Hands-on experience with dynamic scalability; cloud deployment (EKS/Nomad), container/docker deployment, GRPC services, Cloud based services (Prometheus, Elastic Search, databases, Redis, ), Experience with Kafka or event processing thru message bus, Experience with Workflow/Scheduling/State management More ❯

Essential skills: React, NodeJS, TypeScript AWS - Lambda, Cognito, S3, SQS, Eventbridge, Gateway Restful API development Event Driven Architecture, Event Systems Messaging Queues WebSockets SQL, NoSQL DevOps - CI/CD, Docker, GitHub. Desirable skills: WebAssembly IaC AWS Cloud Development Kit Integration testing using Jest or similar NextJS This is an urgent vacancy so if you are interested then please apply quoting More ❯

Hub) Strong knowledge of cloud governance and security best practices Familiarity with CI/CD pipelines and DevSecOps approaches Experience with infrastructure as code (Terraform) Exposure to container technologies (Docker/Kubernetes) Good understanding of cloud and traditional networking security Awareness of compliance standards (ISO 27001, CIS, GDPR) Desirable Skills/Certifications: Azure security or multi-cloud experience IAM administration More ❯

Cloud based architectures Microservice architecture or server-less architecture Messaging/routing technologies such as Apache Nifi/RabbitMQ Experience of DevSecOps automated deployment tools such as Jenkins, Ansible, Docker TO BE CONSIDERED.... Please either apply by clicking online or emailing me directly to For further information please call me on . I can make myself available outside of normal More ❯

liaise directly with business stakeholders. Desirable Skills Experience in commodities indices, structured products, or index engineering . Knowledge of market data feeds (Bloomberg, Refinitiv, etc). Familiarity with containerisation (Docker) and cloud platforms (AWS/GCP). Database experience (SQL/NoSQL) and use of modern data formats (Parquet, HDF5). Contract: Initial term with possible extension Day Rate: Competitive More ❯

work on. About you: You have backend C# .Net, ASP.Net MCV application development skills You also have experience with TypeScript, Angular or React You have a good understanding of Docker for Containerisation You have a good knowledge of cloud based systems (Azure/AWS) You have strong analysis and problem solving skills You're collaborative with great communication skills What More ❯

work on. About you: You have backend C# .Net, ASP.Net MCV application development skills You also have experience with TypeScript, Angular or React You have a good understanding of Docker for Containerisation You have a good knowledge of cloud based systems (Azure/AWS) You have strong analysis and problem solving skills You're collaborative with great communication skills What More ❯

or casino titles. Strong Python experience Solid understanding of probability, statistics, and how they apply to game mechanics. Comfortable with CI/CD pipelines, Git, cloud platforms, and containerisation (Docker). Strong problem-solving skills and the ability to communicate complex ideas to both technical and non-technical colleagues. Experience with automated testing frameworks. Nice to have: Knowledge of Node.js More ❯

or casino titles. Strong Python experience Solid understanding of probability, statistics, and how they apply to game mechanics. Comfortable with CI/CD pipelines, Git, cloud platforms, and containerisation (Docker). Strong problem-solving skills and the ability to communicate complex ideas to both technical and non-technical colleagues. Experience with automated testing frameworks. Nice to have: Knowledge of Node.js More ❯

honest and friendly working atmosphere. We have a flat hierarchy and give you the opportunity to make a real impact Your toolkit: You'll work with Kotlin, Kafka, Kubernetes, Docker, AWS Aurora Postgres, and other modern technologies. If you haven't worked with all of these, we value skilled engineers with a willingness to learn. A product-focused engineering mindset More ❯

with AWS services such as Lambda, DynamoDB, API Gateway, Step Functions, AppSync, and Event Bridge AWS Certifications Experience with other OOP languages (Python, Java, Go) Familiarity with containerisation tools (Docker, Kubernetes) Why Join Us? Work in a dynamic, collaborative global team. Opportunities for career growth and development. Competitive salary and benefits such as private healthcare, tech equipment budget, monthly socials More ❯

buildingETL/ELT pipelines into modern warehouses (BigQuery, Snowflake, Redshift). Familiar with tools like Dagster, Airflow, Prefect, dbt, Dataform, SQLMesh. Cloud experience (we're on GCP) + containerisation (Docker, Kubernetes). Strong sense of ownership over data standards, security, and roadmap. A collaborator at heart - working with analysts, engineers, and product teams to turn data into business impact. Benefits More ❯

customers through intelligent, predictive, and personalized digital interactions.Some Technologies We Work With:Python primarily, with bits and pieces of typescript and scalaGCP, AWS, Azure - in this order of relevanceGitHub, Docker, GitHub Actions, Terraform, KubernetesPandas, PySpark and SparkVertex AI, Azure OpenAI for LLMs Job Responsibilities Lead the execution of projects in a high-performing data science team, fostering professional growth and More ❯

with Kotlin, and deal with problems like synchronization, asynchronous operations, database optimisations, scalability and reliability of systems Gain exposure to an array of technologies such as Kafka, PostgreSQL, Redis, Docker etc Optimise existing systems for scalability, extensibility and performance whilst building out reusable, modular code for use across Blockchain's products Ensure security is at the forefront of everything you More ❯