176 to 200 of 398 Docker Jobs in London

communication skills, able to explain technical concepts to non-technical stakeholders Desirable Experience with NLP or computer vision specialisms Exposure to containerisation/orchestration (Docker, Kubernetes) Relevant academic background (MSc/PhD in a quantitative field) or equivalent commercial experience Experience working in a regulated or data-sensitive industry What ...

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 ...

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 ...

Foundry, Google Vertex AI, Hugging Face Vector databases & retrieval: Pinecone, Weaviate, Chroma, pgvector, FAISS; embeddings, semantic and hybrid search, reranking MLOps/LLMOps & deployment: Docker, Kubernetes, FastAPI, CI/CD; observability, tracing, evaluation tooling (LangSmith, LangFuse); guardrails, prompt/version management Responsible AI & safety: bias & fairness, hallucination mitigation, evaluation, privacy ...

Financial Market Knowledge: Interest or prior experience in traditional financial markets, trading systems, or investment platforms. Containerization & Deployment: Proficiency with containerization technologies such as Docker or Kubernetes. Observability: Hands-on experience with modern observability tooling (e.g., Prometheus, DataDog, Jaeger, OpenTelemetry). Data Governance: Experience with data privacy (GDPR/CCPA ...

operating scalable, highly available distributed systems in a cloud-native environment. Modern tech stack experience: Demonstrable experience with cloud platforms (preferably AWS), containerisation (Docker, Kubernetes), and API design (gRPC, REST). Database expertise: Hands-on experience with both relational and NoSQL databases. A people-first approach: Deep commitment ...

will collaborate with product teams, vendors and apply automated testing, CI/CD, and observability. Proficiency in Java/.NET and Python, plus Docker and Kubernetes, is required. This is a high-impact role offering leadership potential within financial services tech. #J-18808-Ljbffr ...

cloud deployments on Azure or AWS. The ideal candidate has strong C/C++ skills, experience with websockets and JSON, and familiarity with Kubernetes, Docker, and CI/CD #J-18808-Ljbffr ...