176 to 200 of 390 Docker Jobs in London

tool use and function calling, retrieval‐augmented generation (RAG) architectures, LLM evaluation, and iterative improvement. Infrastructure and Deployment Hands‐on experience deploying production systems, Docker and containerization, cloud platforms (AWS, GCP, or Azure), CI/CD pipelines, and scalable service architecture. Data and Retrieval Systems Experience building and operating knowledge ...

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 ...

scenarios and performance Volumetric model Experience using Gatling and Azure Dev Ops Test case automation scripts Azure DevOps CI/CD Java Selenium BrowserStack Docker and Application Architecture Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built ...

DevOps, Platform, SRE, or Cloud Engineer Strong Terraform and Infrastructure as Code experience Experience operating production cloud platforms (Scaleway is a plus) Strong Docker and Kubernetes experience Strong PostgreSQL administration experience Experience building CI/CD pipelines (GitHub Actions or similar) Experience operating managed cloud services Experience supporting AI agent ...

networking and infrastructure fundamentals Terraform and Infrastructure as Code CI/CD tooling (GitHub Actions or similar) Linux and scripting (Python/Bash) Docker, ECS, EKS or Kubernetes Good understanding of cloud security principles, IAM and common web security vulnerabilities Experience with services such as AWS Security Hub, GuardDuty, Inspector ...

driven and messaging-based solutions using Azure integration technologies Good understanding of Azure DevOps, CI/CD pipelines, and modern engineering practices Exposure to Docker, Kubernetes, or AKS would be advantageous Familiarity with Azure AI services, Microsoft Copilot, AI Agents, or Power Platform integration would be beneficial Why Apply ...

leading Engineering teams would be highly beneficial Desirable Technologies GCP/Vertex AI Gemini Python AI Agents/ADK Machine Learning Frameworks APIs & Microservices Docker/Kubernetes CI/CD Pipelines LLM Orchestration Frameworks Additional Information Bonus potential up to c.15% Opportunity to join a growing AI capability within ...

leading Engineering teams would be highly beneficial Desirable Technologies GCP/Vertex AI Gemini Python AI Agents/ADK Machine Learning Frameworks APIs & Microservices Docker/Kubernetes CI/CD Pipelines LLM Orchestration Frameworks Additional Information Bonus potential up to c.15% Opportunity to join a growing AI capability within ...

have strong experience in AI Engineering, MLOps and cloud-native AI platforms, alongside hands-on knowledge of technologies such as LangChain, LlamaIndex, MLflow, Kubernetes, Docker and CI/CD tooling. Applicants will ideally demonstrate: * Experience working in a major Consulting firm, and/or in industry * A strong consulting mindset ...