176 to 200 of 258 Docker Jobs in London

on experience with Generative AI frameworks (LangChain, LlamaIndex, Haystack) and LLM APIs Knowledge of prompt engineering, vector databases (Pinecone, ChromaDB, FAISS), and model fine-tuning Cloud deployment experience with Docker/Kubernetes Understanding of transformer architectures, AI/ML principles, and MLOps Experience developing REST APIs Desirable Exposure to Insurtech or Fintech Familiarity with insurance workflows or policy administration systems More ❯

on experience with Generative AI frameworks (LangChain, LlamaIndex, Haystack) and LLM APIs Knowledge of prompt engineering, vector databases (Pinecone, ChromaDB, FAISS), and model fine-tuning Cloud deployment experience with Docker/Kubernetes Understanding of transformer architectures, AI/ML principles, and MLOps Experience developing REST APIs Desirable Exposure to Insurtech or Fintech Familiarity with insurance workflows or policy administration systems More ❯

NICE TO HAVE: Experience integrating AI models into production systems using GCP, AWS, or Azure. Familiarity with vector databases, embedding models, or retrieval-augmented generation (RAG). Knowledge of Docker, Airflow, or MLOps pipelines. Strong understanding of AI ethics, data privacy, and responsible model deployment. TO BE CONSIDERED... Please either apply online or email me directly at .By applying for More ❯

Generative AI Strong experience with LLM APIs, prompt engineering, and vector databases (Pinecone, ChromaDB, FAISS) Proven team leadership and mentoring skills ; managing 3-5 engineers Cloud deployment experience with Docker/Kubernetes Deep understanding of transformer architectures, AI/ML principles, and MLOps Experience developing REST APIs and Agentic AI frameworks (LangGraph, Crew AI) Desirable Experience in Insurtech or Fintech More ❯

Generative AI Strong experience with LLM APIs, prompt engineering, and vector databases (Pinecone, ChromaDB, FAISS) Proven team leadership and mentoring skills ; managing 3-5 engineers Cloud deployment experience with Docker/Kubernetes Deep understanding of transformer architectures, AI/ML principles, and MLOps Experience developing REST APIs and Agentic AI frameworks (LangGraph, Crew AI) Desirable Experience in Insurtech or Fintech More ❯

Developer include: Experience of developing software products for use within a Water/Hydrological Environment (e.g. rivers, flood risk, etc.) Prior experience with some of the following methodologies:- Containerisation: Docker- MQTT, RESTful URL Data Integration- Deep Learning Neural Network Platforms Previous experience with Enterprise Linux Platforms Experience of leading/mentoring a team of developers If you are interested in More ❯

sector Experience of overseeing the Full Software System Lifecycle of a product, demonstrating your commitment to continued development and improvement Demonstrable experience in the use of Java Middleware, API, Docker, and MQ systems Good working knowledge of performance and security in Enterprise Systems Experience of working with networks: LAN & WAN/Internet and Security Prior experience of Database Access Design More ❯

oriented environment. Drive the analysis and measurement of ad-hoc studies, measuring marketing effectiveness and providing actionable insights. Requirements Extensive experience with version control tools, preferably Git. Proficiency in Docker and container orchestration. Advanced proficiency in Python and familiarity with AI and machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Strong understanding of algorithms, data structures, and software engineering More ❯

of the team. What you'll bring Track record of delivering complex, production quality applications. Strong Scala development experience, preferably in the akka/pekko ecosystem. Experience working with Docker, Kubernetes and Cloud technologies. Strong Test Driven Development background, with understanding of levels of testing required to continuously deliver value to production Experience with build management and CI systems such More ❯

and POC to model training, validation, and production deployment. Partner with our Machine Learning and Software Engineering teams to deploy your models as scalable, reliable, and robust services using Docker and Kubernetes. Clearly document and communicate complex findings, model results, and actionable insights to both technical and non-technical stakeholders. Keep up to date with the latest research and developments More ❯

go through UK SC Security Clearance Strong experience in Java software engineering and object-oriented design Strong Spring (Boot) experience Experience with REST APIs, and microservice architectures Knowledge of Docker and Kubernetes for containerisation and orchestration Proficiency in Git, CI/CD pipelines, and automated testing frameworks Understanding of event-driven design and message brokers (e.g. Kafka, RabbitMQ) Good knowledge … UK unrestricted for at least the next 5 years. Profile 29 recruitment keywords: Java software engineer object-oriented design OOD Camunda BPMN DMN Spring Boot REST API microservice architecture Docker Kubernetes containerisation orchestration Git CI/CD pipelines automated testing frameworks Kafka RabbitMQ Security authentication integration patterns enterprise systems agile digital transformation automation Java developer Camunda developer Zeebe Cloud AWS More ❯

go through UK SC Security Clearance Strong experience in Java software engineering and object-oriented design Strong Spring (Boot) experience Experience with REST APIs, and microservice architectures Knowledge of Docker and Kubernetes for containerisation and orchestration Proficiency in Git, CI/CD pipelines, and automated testing frameworks Understanding of event-driven design and message brokers (e.g. Kafka, RabbitMQ) Good knowledge … UK unrestricted for at least the next 5 years. Profile 29 recruitment keywords: Java software engineer object-oriented design OOD Camunda BPMN DMN Spring Boot REST API microservice architecture Docker Kubernetes containerisation orchestration Git CI/CD pipelines automated testing frameworks Kafka RabbitMQ Security authentication integration patterns enterprise systems agile digital transformation automation Java developer Camunda developer Zeebe Cloud AWS More ❯

consent for us to process (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS: GCP | Python | SQL | MongoDB | Airflow | dbt | Terraform | Docker | ETL | AI | Machine Learning More ❯

based services, PowerShell, MBAM, BitLocker, and VPN technologies. Desirable knowledge of cloud platforms, automation tooling, container technologies, and monitoring systems. Broader awareness of technologies such as Ansible, Puppet, Kubernetes , Docker, Elasticsearch, Linux, IaaS, and PaaS services. Deliver secure and resilient storage services within a highly sensitive environment as a 3rd Line Storage Engineer . To apply, please send your CV More ❯

based services, PowerShell, MBAM, BitLocker, and VPN technologies. Desirable knowledge of cloud platforms, automation tooling, container technologies, and monitoring systems. Broader awareness of technologies such as Ansible, Puppet, Kubernetes , Docker, Elasticsearch, Linux, IaaS, and PaaS services. Deliver secure and resilient storage services within a highly sensitive environment as a 3rd Line Storage Engineer . To apply, please send your CV More ❯

production-ready solutions. You'll also mentor engineers, set quality standards, and champion best practices in testing and security. Our modern tech stack includes TypeScript, Node.js, Python, PostgreSQL, AWS, Docker, and Kubernetes, giving you the tools to innovate and deliver impact at scale. Interview Process: 30 minute introductory meeting Technical challenge, will include a shared screen session to write code More ❯

the Full Software System Lifecycle of a product Experience of working with software systems/programmes within an environmental setting Demonstrable experience in the use of Java Middleware, API, Docker, and MQ systems Good working knowledge of performance and security in Enterprise Systems Experience of working with networks: LAN & WAN/Internet and Security Prior experience of Database Access Design More ❯

the Full Software System Lifecycle of a product Experience of working with software systems/programmes within an environmental setting Demonstrable experience in the use of Java Middleware, API, Docker, and MQ systems Good working knowledge of performance and security in Enterprise Systems Experience of working with networks: LAN & WAN/Internet and Security Prior experience of Database Access Design More ❯

the Full Software System Lifecycle of a product Experience of working with software systems/programmes within an environmental setting Demonstrable experience in the use of Java Middleware, API, Docker, and MQ systems Good working knowledge of performance and security in Enterprise Systems Experience of working with networks: LAN & WAN/Internet and Security Prior experience of Database Access Design More ❯

the Full Software System Lifecycle of a product Experience of working with software systems/programmes within an environmental setting Demonstrable experience in the use of Java Middleware, API, Docker, and MQ systems Good working knowledge of performance and security in Enterprise Systems Experience of working with networks: LAN & WAN/Internet and Security Prior experience of Database Access Design More ❯

LLMs and Natural Language Processing (NLP) , including fine-tuning or prompt engineering. Familiarity with distributed computing or parallel processing (Ray, Spark, etc.). Experience deploying models in production environments (Docker, cloud services). Exposure to data engineering or working alongside data pipeline teams. A genuine passion for AI innovation and real-world applications in health, petcare, or automation. TO BE More ❯

LLMs and Natural Language Processing (NLP) , including fine-tuning or prompt engineering. Familiarity with distributed computing or parallel processing (Ray, Spark, etc.). Experience deploying models in production environments (Docker, cloud services). Exposure to data engineering or working alongside data pipeline teams. A genuine passion for AI innovation and real-world applications in health, petcare, or automation. TO BE More ❯

in operating commonly used databases such as PostgreSQL, Clickhouse, and MongoDB. Additionally, any of the below points will help a candidate stand out: Expert knowledge of Python, Experience with Docker, Kubernetes, and containerized applications, Expert knowledge of TypeScript, Expert knowledge of gRPC (unary, response streaming, bi-directional streaming, REST mapping), Hands-on experience with LLM APIs, embeddings, or RAG patterns More ❯

with ML workflows (PyTorch) and downstream training considerations. Experience with image quality scoring, captioning, or image-to-text pipelines. DAG/workflow visualizations or pipeline UX tooling. DevOps fluency: Docker, CI/CD, infra automation. What We Offer Competitive salary and equity. We're able to offer Skilled Worker visa sponsorship in the UK for qualified candidates. Real impact on More ❯

infrastructure. Database Administration: Manage database operations to ensure data integrity, security, and performance. Proxy Management: Build and maintain secure and efficient proxies for application communication. Containerisation: Build and manage Docker images, ensuring they meet performance, security, and compliance standards. Helm Templating: Utilise Helm to template and manage Kubernetes deployments. Security and Compliance Collaboration with Security Teams: Ensure solutions comply with More ❯