176 to 200 of 409 Docker Jobs in London

practices Experience within Wealth Management, Financial Planning or Financial Services Nice to have Experience integrating enterprise platforms CI/CD experience Microservices architecture Containerisation (Docker/Kubernetes) Experience working in regulated environments What's on offer Opportunity to work on a business-critical wealth management platform Modern engineering environment with ...

skills and experience operationalising models with frameworks like Scikit-learn, TensorFlow, or PyTorch. Cloud and full-stack experience (AWS, Azure, or GCP) with containerisation (Docker) and orchestration (Kubernetes). Recognised technical expert with deep ML knowledge and broad problem-solving ability. Excellent communicator, guiding teams and clients to deliver impactful ...

skills and experience operationalising models with frameworks like Scikit-learn, TensorFlow, or PyTorch. Cloud and full-stack experience (AWS, Azure, or GCP) with containerisation (Docker) and orchestration (Kubernetes). Recognised technical expert with deep ML knowledge and broad problem-solving ability. Excellent communicator, guiding teams and clients to deliver impactful ...

Strong hands-on expertise with JavaScript/Node.js, React, REST APIs, and AWS. Experience with Infrastructure as Code (Terraform/CloudFormation), CI/CD, Docker, Kubernetes, and the Atlassian toolset. Proven success leading distributed, remote-first engineering and DevOps teams. Strong knowledge of scalable microservices, cloud architecture, security, and SaaS ...

using technologies such as GCP, Dataflow/Apache Beam, Dataproc, Spark/Flink, dbt; Working knowledge of Python, SQL and shell scripting; Experience with Docker/k8s and “infrastructure as a code” tools such as Terraform, Salt or similar; 3+ years of significant professional experience developing applications written ...

hands‐on Object‐Oriented Design skills. Strong core Java programming skills. Experience developing services/micro‐services in Java. Experience developing containerised services using Docker and Kubernetes. Hands‐on SpringBoot skills. Experience developing and deploying on Unix or Linux. Hands‐on experience of using the Kafka ecosystem. Experience of profiling ...

Azure services (particularly Azure Service Bus and cloud‐native design patterns). System design, architecture, data modelling, and integration patterns. Ideally experienced with containerisation (Docker), CI/CD pipelines, version control (Git), and DevOps practices. Ideally with knowledge of financial systems, regulatory frameworks, and secure software delivery Leadership & Collaboration Proven ...

Microsoft stack, including the .NET framework (versions .NET Core, 8 and beyond), SQL Server, and microservices architectures. Familiarity with microservices, REST APIs, Docker, Redis, and cloud platforms (such as AWS or Azure) is essential. You'll also be comfortable working in a DevOps-driven culture, using CI/CD tools ...

Microsoft stack, including the .NET framework (versions .NET Core, 8 and beyond), SQL Server, and microservices architectures. Familiarity with microservices, REST APIs, Docker, Redis, and cloud platforms (such as AWS or Azure) is essential. You’ll also be comfortable working in a DevOps-driven culture, using CI/CD tools ...

data‐intensive applications in production. Strong full‐stack skills: Python, Node.js/Go, React/Vue, SQL, REST/GraphQL. DevOps proficiency: Docker, Kubernetes, CI/CD, and major cloud platforms. Expertise in LLMs, prompt engineering, vector DBs, RAG pipelines, and Agentic orchestration frameworks. Agentic/integrations: MCP, Salesforce/ ...

iterates quickly Core Tech Stack: Languages: Python (FastAPI), Go, TypeScript (Node.js) Databases: PostgreSQL, Redis, Pinecone/pgvector Infra: AWS (ECS, Lambda, SQS/SNS), Docker, Kubernetes, Terraform AI/ML tooling: LangChain/LlamaIndex, vLLM, Anthropic & OpenAI APIs, embedding models Observability: Datadog, Grafana, OpenTelemetry CI/CD: GitHub Actions, ArgoCD ...

software engineering principles, architecture patterns, and delivery best practices Experience with API development using frameworks such as FastAPI, Flask, or Django Knowledge of Docker, containerised deployments, CI/CD, and cloud‐native delivery patterns What Will Make You Stand Out Experience building, deploying, and evaluating multi‐agent AI solutions, agent ...

Strong knowledge of microservices and distributed systems Experience with relational and NoSQL databases Familiarity with DevOps practices including CI/CD, Docker, and Kubernetes Experience working in Agile environments A strong focus on quality, performance optimisation, and high availability systems #J-18808-Ljbffr ...

building and maintaining APIs and backend services, including SaaS platforms; Familiarity with modern infrastructure and distributed systems; Solid understanding of modern deployment practices, including Docker, containers, and Kubernetes; Strong background in testing strategies, including TDD, across the full system lifecycle, with a focus on performance optimization; Use AI tools ...

Experience with orchestration tools such as Airflow, Prefect or Dagster Familiarity with cloud environments (AWS, GCP or Azure) Experience with containerisation tools such as Docker and Kubernetes Proven experience integrating multiple business systems and ensuring reliable data flow between platforms Strong troubleshooting skills with a focus on system reliability ...

exposure to SQL stored procedures and indexes is preferred. Knowledge with DevOps principles and CI/CD tools (such as Jenkins, Ansible, Packer, Docker). Knowledge of developing solutions on cloud platforms such as AWS, Azure, with familiarity in services such as serverless functions, databases, storage, and compute resources ...

pace of AI teams is a real advantage. Experience with graph databases, knowledge graphs or scientific data platforms. Experience with infrastructure-as-code, containerisation (Docker/Kubernetes) or CI/CD pipelines. Orbital is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment ...

efficiency Proficiency in Git Proficiency in AI/ML frameworks: Huggingface, Torch, TensorFlow, Scikit‐Learn, and Spacy Experience in MLOps platforms: MLFlow, dbt, Docker, Kubernetes Experience with cloud environments such as AWS Technical Concept Requirements Experience in NLP, Forecasting, Clustering, Recommendation Engines, Network Analysis (Graph Theory), and Regressions Experience ...

alerting (e.g. SolarWinds). Practical experience of commissioning and maintaining Microsoft SQL Server installations. Experience designing, deploying and maintaining containerisation and orchestration solutions (e.g. Docker, Kubernetes) a significant plus. Experience of using Infrastructure as Code tools such as Terraform or Bicep for definition and management of environments a significant plus. ...

post‐graduation, full-stack engineering experience with demonstrated proficiency in React (required), TypeScript, Next.js, Python, Node.js, PostgreSQL or MongoDB plus hands‐on experience with Docker, Kubernetes, and Azure/AWS/GCP. Proven ability to architect scalable, production‐grade applications with a strong handle on cloud environments and infrastructure health. ...

model governance. Tech Stack Python, SQL, pandas/numpy/scipy, PyTorch/sklearn Airflow/dbt, Kafka (or equivalents), Postgres/BigQuery Docker, Kubernetes (optional), CI/CD (GitHub Actions) Observability: Prometheus/Grafana, OpenTelemetry (or equivalents) Locations and Right to work This role can be based ...

Technology Stack Our copyright product is primarily running in AWS with the following technologies: Java SpringBoot Microservices DynamoDB OpenSearch Postgres S3 Kinesis SNS SQS Docker/ECS/EKS Serverless frameworks Key Responsibilities Architect and Implement: Work as part of a product engineering team to design and implement complex software ...

including data extraction, feature engineering, modelling, evaluation, deployment and ongoing monitoring. Experience with cloud infrastructure, ideally AWS, alongside DevOps technologies and practices such as Docker, Terraform, CI/CD pipelines and infrastructure‐as‐code. Familiarity with MLOps tools and practices such as MLflow, Airflow, model monitoring, API monitoring, data validation ...

Puppet/Kapitan/Terraform) Experience with distributed data platforms (Kafka/Flink/Airflow) Comfortable using cloud native and containerisation technologies (Kubernetes/Docker) Good Linux systems knowledge (experience with RHEL desirable) Broad knowledge across network technologies, server virtualisation and storage Self-starter, able to quickly pick up concepts ...

infrastructure. Relevant and recent experience with our main tech stack: Terraform, Configuration Management (Chef ideally, but will consider Ansible or Puppet), Kubernetes (cloud based), Docker (Kubernetes or AWS ECS Fargate) Extensive cloud experience (ideally Azure and AWS) Programming, scripting skills and OOP principles in general Strong analytical and problem-solving ...