276 to 300 of 489 Kubernetes Jobs in London

BGP, OSPF, IS-IS, and troubleshoot connectivity and control-plane issues. •Integrate data center fabric with virtualization platforms such as VMware NSX, KVM, and Hyper-V, as well as Kubernetes-based AI infrastructure. •Collaborate with compute, storage, and DevOps teams to ensure end-to-end performance across AI training, fine-tuning, inference, and ETL pipelines. •Drive network automation efforts using More ❯

BGP, OSPF, IS-IS, and troubleshoot connectivity and control-plane issues. •Integrate data center fabric with virtualization platforms such as VMware NSX, KVM, and Hyper-V, as well as Kubernetes-based AI infrastructure. •Collaborate with compute, storage, and DevOps teams to ensure end-to-end performance across AI training, fine-tuning, inference, and ETL pipelines. •Drive network automation efforts using More ❯

Strong experience with: Retrieval-Augmented Generation (e.g., LangChain, LlamaIndex, vector databases). LLM fine-tuning techniques (LoRA, PEFT, instruction tuning). Deploying models in production (Triton Inference Server, HuggingFace, Kubernetes). Advanced Python skills; bonus for experience in Go, Java, or C++. Direct experience working with enterprise clients. Solid understanding of embeddings, vector stores, and semantic search. Preferred Qualifications Familiarity More ❯

Strong experience with: Retrieval-Augmented Generation (e.g., LangChain, LlamaIndex, vector databases). LLM fine-tuning techniques (LoRA, PEFT, instruction tuning). Deploying models in production (Triton Inference Server, HuggingFace, Kubernetes). Advanced Python skills; bonus for experience in Go, Java, or C++. Direct experience working with enterprise clients. Solid understanding of embeddings, vector stores, and semantic search. Preferred Qualifications Familiarity More ❯

Strong experience with: Retrieval-Augmented Generation (e.g., LangChain, LlamaIndex, vector databases). LLM fine-tuning techniques (LoRA, PEFT, instruction tuning). Deploying models in production (Triton Inference Server, HuggingFace, Kubernetes). Advanced Python skills; bonus for experience in Go, Java, or C++. Direct experience working with enterprise clients. Solid understanding of embeddings, vector stores, and semantic search. Preferred Qualifications Familiarity More ❯

Strong experience with: Retrieval-Augmented Generation (e.g., LangChain, LlamaIndex, vector databases). LLM fine-tuning techniques (LoRA, PEFT, instruction tuning). Deploying models in production (Triton Inference Server, HuggingFace, Kubernetes). Advanced Python skills; bonus for experience in Go, Java, or C++. Direct experience working with enterprise clients. Solid understanding of embeddings, vector stores, and semantic search. Preferred Qualifications Familiarity More ❯

can help in the data streaming world You have consulting or customer-facing experience You have hands-on experience with distributed technologies You have demonstrable experience with Docker/Kubernetes You have experience troubleshooting applications running on Linux (resource contention, network bottlenecks, etc.) You can read and understand code You have excellent communication skills: clear, concise and effective communication with More ❯

long-term success of Tungsten Automation solutions Production AI Experience : Leverage experience with deploying, monitoring, and maintaining AI/LLM models in production (e.g., Azure ML, AWS Sagemaker, or Kubernetes-based ML pipelines) Thought Leadership : Provide thought leadership on AI-driven automation trends and best practices, both internally and externally Collaboration and Cross-Functional Leadership Product Alignment : Collaborate closely with More ❯

language besides Python. Proficiency in object-oriented programming (OOP), SOLID principles, and test-driven development (TDD). Proficiency with Docker and experience working with container orchestration tools such as Kubernetes, Docker Swarm, or cloud-based alternatives. Comfort working across the full development stack, especially for prototyping. Passion for applying GenAI and machine learning across diverse domains and throughout the full More ❯

Python (test automation, scripting, or backend validation). Familiarity with SQL for data validation. Experience in one or more of the following is a strong plus: Distributed systems testing Kubernetes-based test environments Messaging technologies (Jetstream NATS, Redis, etc.) Load/performance testing tools (Locust, JMeter, Gatling, etc.) A pragmatic, hands-on approach to solving complex problems. Solid understanding of More ❯

and Typescript across our codebase. Prior experience is appreciated but not required. Below is a detailed breakdown of all the technologies we use. - Backend: Python - Frontend: Typescript and React - Kubernetes for deployment - GCP for underlying infrastructure - Machine Learning: PyTorch, CUDA, Ray We encourage people from all backgrounds, cultures and skill levels to apply. It is okay to not meet all More ❯

pipelines and systems across thousands of GPUs. Proven ability to architect and maintain large-scale distributed systems for data processing and delivery. Deep expertise in orchestration frameworks such as Kubernetes and SLURM with hands-on experience deploying and managing high-throughput workloads. Preferred Qualifications Practical experience on building pipelines and infrastructure with visual and multimodal datasets, including image/video More ❯

lake and warehouse storage and querying Python as our main programming language Jupyter and Jupyter Hub for notebook analytics and collaboration Circle CI for continuous deployment AWS cloud infrastructure Kubernetes for data services and task orchestration Google Analytics, Amplitude and Firebase for client applications event processing Airflow for job scheduling and tracking Parquet and Delta file formats on S3 for More ❯

in Platform Engineering and infrastructure. About You: Strong understanding of cloud architecture and application deployment models (AWS preferred). Experience in operating web-scale deployments of containerized systems using Kubernetes and/or Amazon Container Services. Deep understanding of programming languages and the systems you have worked on. Enthusiasm for writing code, primarily using Python (prior experience beneficial, willingness to More ❯

ongoing operations Monitor and ensure system reliability, availability, and performance using tools likeCloudWatch, Prometheus, Icinga2, Grafana, and Datadog Automate deployment, scaling, and management of containerized applications using Docker and Kubernetes Desirable skills Travis CI Monitoring – Grafana, Icinga Prometheus Rabbit MQ/AMQP Working knowledge of security best practices in cloud environments Amazon Web Services (AWS): EC2, VPC, RDS, S3, IAM … ECS/EKS, Lambda Kubernetes DBMS experience such as MySQL or PostgreSQL Having experience with microservices architecture, Amazon Web Services, PHP and JavaScript frameworks such as Vue.js would be highly desirable but not essential. Role overview at a glance DevOps Engineer Office location – Ideally London or South Wales Flexible and remote working (expectations are 2days per week on site) A More ❯

and is able to work collaboratively across multidisciplinary teams. Key Responsibilities Design, build and maintain cloud-native platforms and applications. Develop solutions using containerisation and orchestration technologies (e.g. Docker, Kubernetes, OpenShift). Implement DevOps practices, CI/CD pipelines and infrastructure as code. Ensure solutions meet stringent security, performance and compliance requirements. Collaborate with architects, developers, testers and security teams … Profile Strong background in cloud engineering , ideally in secure or regulated environments. Experience with public and private cloud platforms (AWS, Azure, GCP, OpenStack). Hands-on knowledge of containerisation, Kubernetes, microservices and IaC (Terraform, Ansible, etc.). Familiarity with CI/CD pipelines and modern DevOps toolchains. Excellent problem-solving, communication and collaboration skills. Clearance & Requirements SC Clearance required to More ❯

AI software development team. Key Responsibilities: Design, develop, and maintain the next generation of scalable AI platform for the world's best investment management technology platform. Implement and manage Kubernetes clusters for deploying AI models. Build platform abstractions to manage cloud-native infrastructure across AWS, GCP, or Azure environments. Build and maintain automated pipelines for continuous training, testing, and deployment … Computer Science, Engineering, or a related subject area. 2+ years of experience in software and platform engineering. Proficiency in designing and building scalable APIs and microservices. Strong proficiency in Kubernetes, including Helm charts, Kustomize, and custom resource definitions (CRDs). Hands-on experience with cloud platforms such as AWS, GCP, or Azure. Expertise in containerization technologies (Docker, containerd). Experience More ❯

SeniorAzureDevOpsEngineer CentralLondon-3timesaweekintheoffice £80,000-£90,000Benefits ReVybeITisrecruitingforaforward-thinkingsoftwarebusinesswitharound90employees.CurrentlylookingforaSeniorAzureDevOpsEngineertojointheteam. KeyResponsibilities: Takeownershipofthecloudenvironment,ensuringoptimalperformanceandsecurity. Collaboratecloselywiththeapplicationteamtointegratecloudsolutionsseamlessly. UtilizetechnologiessuchasAzure,Kubernetes(AKS),Terraform,AzureDevOps. Develop,deploy,andmanagecontainerizedapplicationsusingAKS. Ensurehighavailabilityandscalabilityofmicroservices. Implementbestpracticesforcontainerorchestrationandmonitoring. Implementautomatedsecretsmanagementworkflows. DesignandmaintainCI/CDpipelinesusingAzureDevOps. Automatetesting,building,anddeploymentprocesses. Integratewithothertoolsandservicesforseamlessworkflows. DevelopandmanagereusableTerraformmodulesforinfrastructureascode. Ensureconsistentandscalableinfrastructuredeployment. Implementbestpracticesforversioncontrolandmoduledocumentation. ComfortableworkinginanAgileenvironment. CollaborateeffectivelywithinAgileteams. Adaptquicklytochangesanditerativedevelopmentprocesses. ParticipateactivelyinAgileceremoniesandpractices. Strongscriptingandautomationskills(PowerShell,Bash,AzureCLI). Developandmaintainscriptsforautomationanddeployment. UsePowerShell,Bash,andAzureCLItostreamlineprocessesandimproveefficiency. Implementautomationworkflowstoreducemanualtasks. Requirements: ProficientinAzurecloudservicesandrelatedtechnologies. StrongexperiencewithTerraformforinfrastructureascode,withtheabilitytobuildmodules,andmore. ExperiencewithAzureDevOps,GitHubActions,orsimilarforCI/CD. ExperiencewithKubernetes(AKS More ❯

terms of the tech itself, the team is looking for an engineer who has experience in the following languages and frameworks: JavaScript React TypeScript Python GoLang Neo4j GraphQL AWS Kubernetes Demonstrating More ❯

week onsite in London and initial 3 month rolling contracts with an immediate start. The rate available for this position is: £550-575pd Requirements : Extensive Golang experience Kafka Kubernetes HTTP SQL database experience too Bonus : Any Python experience Payments or financial services experience Please apply directly or email me your CV on Charlie.Durman@lafosse.com More ❯

week onsite in London and initial 3 month rolling contracts with an immediate start. The rate available for this position is: £550-575pd Requirements : Extensive Golang experience Kafka Kubernetes HTTP SQL database experience too Bonus : Any Python experience Payments or financial services experience Please apply directly or email me your CV on Charlie.Durman@lafosse.com More ❯

week onsite in London and initial 3 month rolling contracts with an immediate start. The rate available for this position is: £550-575pd Requirements : Extensive Golang experience Kafka Kubernetes HTTP SQL database experience too Bonus : Any Python experience Payments or financial services experience Please apply directly or email me your CV on Charlie.Durman@lafosse.com More ❯

week onsite in London and initial 3 month rolling contracts with an immediate start. The rate available for this position is: £550-575pd Requirements : Extensive Golang experience Kafka Kubernetes HTTP SQL database experience too Bonus : Any Python experience Payments or financial services experience Please apply directly or email me your CV on Charlie.Durman@lafosse.com More ❯

If you want to build the cloud backbone of tomorrow's AI products, get in touch for more info. Keywords - EC2, S3, RDS, Lambda, Bedrock, Secrets Manager, CloudFront Elastic Kubernetes Service (EKS), AWS Glue, Simple Notification Service (SNS), CloudWatch AWS Solutions Architect - AI Startup Oscar Associates (UK) Limited is acting as an Employment Agency in relation to this vacancy. To More ❯

simple If you want to build the cloud backbone of tomorrow's AI products, get in touch for more info. Keywords - EC2, S3, RDS, Lambda, Bedrock, Secrets Manager, CloudFrontElastic Kubernetes Service (EKS), AWS Glue, Simple Notification Service (SNS), CloudWatch AWS Solutions Architect - AI Startup Oscar Associates (UK) Limited is acting as an Employment Agency in relation to this vacancy. To More ❯