926 to 950 of 972 Remote Kubernetes Jobs

Staff Engineer. AI Legal Tech Firm. Typescript/React/AWS. £80,000 +Amazing benefits. 3 Days a week Hybrid. Description As a Staff Engineer at my award winning client,, you’ll lead the delivery of large-scale features and More ❯

of machine learning and cloud infrastructure, ensuring our models run efficiently, reliably, and cost-effectively at scale. Key Responsibilities Design, deploy, and manage ML infrastructure on AWS (SageMaker) and Kubernetes Build scalable pipelines for LLM and video generation models Optimise model inference, latency, and costs Implement monitoring, logging, and alerting for production systems Collaborate with ML teams to productionize new … and tooling for smoother ML operations Skills & Experience Strong Python skills and production coding experience Proven experience deploying/scaling LLMs or generative AI models Expertise in AWS SageMaker, Kubernetes, and CI/CD (Terraform/CloudFormation) Solid understanding of ML serving, optimisation, and cloud architecture Nice to Have: Video generation or computer vision experience, model compression, distributed training, and More ❯

of machine learning and cloud infrastructure, ensuring our models run efficiently, reliably, and cost-effectively at scale. Key Responsibilities Design, deploy, and manage ML infrastructure on AWS (SageMaker) and Kubernetes Build scalable pipelines for LLM and video generation models Optimise model inference, latency, and costs Implement monitoring, logging, and alerting for production systems Collaborate with ML teams to productionize new … and tooling for smoother ML operations Skills & Experience Strong Python skills and production coding experience Proven experience deploying/scaling LLMs or generative AI models Expertise in AWS SageMaker, Kubernetes, and CI/CD (Terraform/CloudFormation) Solid understanding of ML serving, optimisation, and cloud architecture Nice to Have: Video generation or computer vision experience, model compression, distributed training, and More ❯

of machine learning and cloud infrastructure, ensuring our models run efficiently, reliably, and cost-effectively at scale. Key Responsibilities Design, deploy, and manage ML infrastructure on AWS (SageMaker) and Kubernetes Build scalable pipelines for LLM and video generation models Optimise model inference, latency, and costs Implement monitoring, logging, and alerting for production systems Collaborate with ML teams to productionize new … and tooling for smoother ML operations Skills & Experience Strong Python skills and production coding experience Proven experience deploying/scaling LLMs or generative AI models Expertise in AWS SageMaker, Kubernetes, and CI/CD (Terraform/CloudFormation) Solid understanding of ML serving, optimisation, and cloud architecture Nice to Have: Video generation or computer vision experience, model compression, distributed training, and More ❯

of machine learning and cloud infrastructure, ensuring our models run efficiently, reliably, and cost-effectively at scale. Key Responsibilities Design, deploy, and manage ML infrastructure on AWS (SageMaker) and Kubernetes Build scalable pipelines for LLM and video generation models Optimise model inference, latency, and costs Implement monitoring, logging, and alerting for production systems Collaborate with ML teams to productionize new … and tooling for smoother ML operations Skills & Experience Strong Python skills and production coding experience Proven experience deploying/scaling LLMs or generative AI models Expertise in AWS SageMaker, Kubernetes, and CI/CD (Terraform/CloudFormation) Solid understanding of ML serving, optimisation, and cloud architecture Nice to Have: Video generation or computer vision experience, model compression, distributed training, and More ❯

of machine learning and cloud infrastructure, ensuring our models run efficiently, reliably, and cost-effectively at scale. Key Responsibilities Design, deploy, and manage ML infrastructure on AWS (SageMaker) and Kubernetes Build scalable pipelines for LLM and video generation models Optimise model inference, latency, and costs Implement monitoring, logging, and alerting for production systems Collaborate with ML teams to productionize new … and tooling for smoother ML operations Skills & Experience Strong Python skills and production coding experience Proven experience deploying/scaling LLMs or generative AI models Expertise in AWS SageMaker, Kubernetes, and CI/CD (Terraform/CloudFormation) Solid understanding of ML serving, optimisation, and cloud architecture Nice to Have: Video generation or computer vision experience, model compression, distributed training, and More ❯

of machine learning and cloud infrastructure, ensuring our models run efficiently, reliably, and cost-effectively at scale. Key Responsibilities Design, deploy, and manage ML infrastructure on AWS (SageMaker) and Kubernetes Build scalable pipelines for LLM and video generation models Optimise model inference, latency, and costs Implement monitoring, logging, and alerting for production systems Collaborate with ML teams to productionize new … and tooling for smoother ML operations Skills & Experience Strong Python skills and production coding experience Proven experience deploying/scaling LLMs or generative AI models Expertise in AWS SageMaker, Kubernetes, and CI/CD (Terraform/CloudFormation) Solid understanding of ML serving, optimisation, and cloud architecture Nice to Have: Video generation or computer vision experience, model compression, distributed training, and More ❯

of machine learning and cloud infrastructure, ensuring our models run efficiently, reliably, and cost-effectively at scale. Key Responsibilities Design, deploy, and manage ML infrastructure on AWS (SageMaker) and Kubernetes Build scalable pipelines for LLM and video generation models Optimise model inference, latency, and costs Implement monitoring, logging, and alerting for production systems Collaborate with ML teams to productionize new … and tooling for smoother ML operations Skills & Experience Strong Python skills and production coding experience Proven experience deploying/scaling LLMs or generative AI models Expertise in AWS SageMaker, Kubernetes, and CI/CD (Terraform/CloudFormation) Solid understanding of ML serving, optimisation, and cloud architecture Nice to Have: Video generation or computer vision experience, model compression, distributed training, and More ❯

of machine learning and cloud infrastructure, ensuring our models run efficiently, reliably, and cost-effectively at scale. Key Responsibilities Design, deploy, and manage ML infrastructure on AWS (SageMaker) and Kubernetes Build scalable pipelines for LLM and video generation models Optimise model inference, latency, and costs Implement monitoring, logging, and alerting for production systems Collaborate with ML teams to productionize new … and tooling for smoother ML operations Skills & Experience Strong Python skills and production coding experience Proven experience deploying/scaling LLMs or generative AI models Expertise in AWS SageMaker, Kubernetes, and CI/CD (Terraform/CloudFormation) Solid understanding of ML serving, optimisation, and cloud architecture Nice to Have: Video generation or computer vision experience, model compression, distributed training, and More ❯

of machine learning and cloud infrastructure, ensuring our models run efficiently, reliably, and cost-effectively at scale. Key Responsibilities Design, deploy, and manage ML infrastructure on AWS (SageMaker) and Kubernetes Build scalable pipelines for LLM and video generation models Optimise model inference, latency, and costs Implement monitoring, logging, and alerting for production systems Collaborate with ML teams to productionize new … and tooling for smoother ML operations Skills & Experience Strong Python skills and production coding experience Proven experience deploying/scaling LLMs or generative AI models Expertise in AWS SageMaker, Kubernetes, and CI/CD (Terraform/CloudFormation) Solid understanding of ML serving, optimisation, and cloud architecture Nice to Have: Video generation or computer vision experience, model compression, distributed training, and More ❯

of machine learning and cloud infrastructure, ensuring our models run efficiently, reliably, and cost-effectively at scale. Key Responsibilities Design, deploy, and manage ML infrastructure on AWS (SageMaker) and Kubernetes Build scalable pipelines for LLM and video generation models Optimise model inference, latency, and costs Implement monitoring, logging, and alerting for production systems Collaborate with ML teams to productionize new … and tooling for smoother ML operations Skills & Experience Strong Python skills and production coding experience Proven experience deploying/scaling LLMs or generative AI models Expertise in AWS SageMaker, Kubernetes, and CI/CD (Terraform/CloudFormation) Solid understanding of ML serving, optimisation, and cloud architecture Nice to Have: Video generation or computer vision experience, model compression, distributed training, and More ❯

of machine learning and cloud infrastructure, ensuring our models run efficiently, reliably, and cost-effectively at scale. Key Responsibilities Design, deploy, and manage ML infrastructure on AWS (SageMaker) and Kubernetes Build scalable pipelines for LLM and video generation models Optimise model inference, latency, and costs Implement monitoring, logging, and alerting for production systems Collaborate with ML teams to productionize new … and tooling for smoother ML operations Skills & Experience Strong Python skills and production coding experience Proven experience deploying/scaling LLMs or generative AI models Expertise in AWS SageMaker, Kubernetes, and CI/CD (Terraform/CloudFormation) Solid understanding of ML serving, optimisation, and cloud architecture Nice to Have: Video generation or computer vision experience, model compression, distributed training, and More ❯

of machine learning and cloud infrastructure, ensuring our models run efficiently, reliably, and cost-effectively at scale. Key Responsibilities Design, deploy, and manage ML infrastructure on AWS (SageMaker) and Kubernetes Build scalable pipelines for LLM and video generation models Optimise model inference, latency, and costs Implement monitoring, logging, and alerting for production systems Collaborate with ML teams to productionize new … and tooling for smoother ML operations Skills & Experience Strong Python skills and production coding experience Proven experience deploying/scaling LLMs or generative AI models Expertise in AWS SageMaker, Kubernetes, and CI/CD (Terraform/CloudFormation) Solid understanding of ML serving, optimisation, and cloud architecture Nice to Have: Video generation or computer vision experience, model compression, distributed training, and More ❯

implementation initiatives where appropriate technical competence has been demonstrated. Maintain a broad enterprise perspective in all technical decisions. Essential Skills Strong knowledge of container technologies within AWS Cloud, particularly Kubernetes and Docker. Strong Terraform experience Excellent service mindset with a focus on delivering high-quality IT services. Willingness to learn and embrace new technologies. Ability to work under pressure with … strong attention to detail. Flexible approach to working hours, including participation in an on-call rota. Experience with IBM IIB/Integration Bus, Kubernetes/EKS Clusters, Confluent CDC, Kong, Data Dog, Istio or Calico (Desirable) Benefits Salary up to £52,000 + up to 20% bonus Hybrid working: 1 to 2 days a week in the office 28 days More ❯

practices and elevate the internal developer experience (IDP). Collaborate within a small, high-performing team under the Head of Infrastructure. YOUR BACKGROUND AND EXPERIENCE Strong commercial experience with Kubernetes in production environments. Proven hands-on experience with GCP (Google Cloud Platform) . Deep understanding of CI/CD pipelines - GitLab CI, Argo, or Flux. Experience with HashiCorp Vault and … practices and elevate the internal developer experience (IDP). Collaborate within a small, high-performing team under the Head of Infrastructure. YOUR BACKGROUND AND EXPERIENCE Strong commercial experience with Kubernetes in production environments. Proven hands-on experience with GCP (Google Cloud Platform). Deep understanding of CI/CD pipelines - GitLab CI, Argo, or Flux. Experience with HashiCorp Vault and More ❯

for Cloud , and related hybrid management agents. Conduct firmware and BIOS updates , disk replacements, racking, cabling, and rebuilds in data centres. Support virtualisation and containerisation workloads (VMware, Hyper-V, Kubernetes). Hybrid Cloud & Virtualisation Manage hybrid workloads between on-premises data centres and Azure . Deploy and support Azure VMs, VNets, Private DNS zones , and Defender for Cloud Arc integrations … Desirable Certifications Microsoft Certified: Windows Server Hybrid Administrator/Azure Administrator Associate CompTIA Security+ or Microsoft Cybersecurity Architect (SC-100) ITIL v4 Foundation VMware Certified Professional (VCP) CKAD or Kubernetes Administrator certification If you have the desired skills and experience and would like to find out more please apply to this advert by following the link below and attaching a More ❯

for Cloud , and related hybrid management agents. Conduct firmware and BIOS updates , disk replacements, racking, cabling, and rebuilds in data centres. Support virtualisation and containerisation workloads (VMware, Hyper-V, Kubernetes). Hybrid Cloud & Virtualisation Manage hybrid workloads between on-premises data centres and Azure . Deploy and support Azure VMs, VNets, Private DNS zones , and Defender for Cloud Arc integrations … Desirable Certifications Microsoft Certified: Windows Server Hybrid Administrator/Azure Administrator Associate CompTIA Security+ or Microsoft Cybersecurity Architect (SC-100) ITIL v4 Foundation VMware Certified Professional (VCP) CKAD or Kubernetes Administrator certification If you have the desired skills and experience and would like to find out more please apply to this advert by following the link below and attaching a More ❯

in 12 months Remote-first (UK) with hybrid London office option Up to £150,000 per annum plus equity Go with Typescript/Node, on GCP/AWS with Kubernetes Engineering Lead - We’re working with an amazing scale-up who raised a very impressive Series B round earlier in 2025. They are building an AI-native SaaS platform that … in 12 months Remote-first (UK) with hybrid London office option Up to £150,000 per annum plus equity Go with Typescript/Node on GCP/AWS with Kubernetes More ❯

individual with proven experience in architecting complex software systems and a strong track record in stakeholder engagement, particularly within in fast-paced environments. Your expertise in Microsoft technologies, GoLang, Kubernetes, and cloud platforms will be invaluable as you lead development teams to ensure high-quality implementations. This is an exciting opportunity to drive technical best practice, explore emerging technologies, and … technologies, such as VB.Net, WPF, C# and MSSQL Server, and successful migration to modern, cloud-based solutions. Detailed understanding of the architectural application of modern technology stacks including GoLang, Kubernetes, and cloud platforms, such as GCP. Strong background in modern programming paradigms, micro services, and cloud-native architectures. Exceptional communication and interpersonal skills, with a talent for engaging and influencing More ❯

visible impact; build actionable runbooks. Join the on-call rotation, lead blameless post-mortems, drive remediation work to closure and track MTTR/MTBF improvements. Automate repetitive ops on Kubernetes and CI/CD; keep "toil" Coach full-stack engineers on query optimisation, schema design and back-pressure techniques; document patterns and anti-patterns by creating an SRE playbook Hands … backend fundamentals around concurrency, caching, indexing and distributed systems trade-offs. Proven track record of setting SLOs, building dashboards (Prometheus/Grafana, OpenTelemetry, etc.) and tuning alerts. Comfort with Kubernetes, IaC and cloud-native patterns; can debug from network to application layer. Self-starter with a maker mindset. We're looking for ex-founders or individuals with start-up experience. More ❯

knowledge and significant experience will you need? Proven significant experience of designing, implementing and managing a Flexera on-premise installation including agent rollout and integrations with multiple technologies including Kubernetes deployment in AKS and EKS. Evidence a strong track record in designing and delivering infrastructure services and solutions, working within a hybrid server estate including multiple Operating Systems such as … who knows their way around cloud platforms, containers and infrastructure as code. If you've rolled out Flexera One agents across different environments and can navigate Windows, Linux, and Kubernetes with confidence this is the role for you. Details. Wages. Perks. Location: You'll join us in one of our brilliant digital hubs in Blackpool, Leeds, Manchester or Newcastle, whichever More ❯

Be apart of one of the UK's largest building merchants. We're expanding fast, with over 130 branches across the UK and counting. As we grow, so does our need to connect systems, streamline data, and keep everything running More ❯

Be apart of one of the UK's largest building merchants. We're expanding fast, with over 130 branches across the UK and counting. As we grow, so does our need to connect systems, streamline data, and keep everything running More ❯

numi are proud to be supporting a leading digital agency looking for a PHP Developer. They build bespoke digital products, from websites and back office systems to custom software and mobile apps. They work with big names across the world. More ❯

Lead Data Engineer - Python, SQL, GCP, Kubernetes, DBT, Airflow and BigQurey OB have partnered with a leading scale-up business in the AdTech space, where Data is at the forefront of everything they do, and they are currently hiring for a Lead Data Engineer to join their team and work on the development of their Data platform. This will be … with hands on experience working in Data heavy environments, with Real-Time Data Pipelines, Distributed Streaming Pipelines and strong knowledge of Cloud Environments. Lead Data Engineer - Python, SQL, GCP, Kubernetes, DBT, Airflow and BigQurey Key Skills and Experience: Python, SQL, GCP, Kubernetes, DBT, Airflow and BigQurey Prior experience working as a Lead Engineer or Tech Lead Pays £100k-£130k + … a week in Central London To be considered, you must be UK based and unfortunately visa sponsorship is unavailable 2-stage interview process! Lead Data Engineer - Python, SQL, GCP, Kubernetes, DBT, Airflow and BigQurey More ❯