226 to 250 of 458 Kubernetes Jobs in the UK excluding London

control, ideally Git Experience working within an Agile environment Any experience in the following would be advantageous: .NET 5/6 JavaScript, TypeScript and frameworks such as React.js Docker, Kubernetes NoSQL This is an exciting opportunity to join a rapidly expanding company using the latest tools and technologies. If you are looking for a role of this nature, please contact More ❯

control, ideally Git Experience working within an Agile environment Any experience in the following would be advantageous: .NET 5/6 JavaScript, TypeScript and frameworks such as React.js Docker, Kubernetes NoSQL This is an exciting opportunity to join a rapidly expanding company using the latest tools and technologies. If you are looking for a role of this nature, please contact More ❯

with SQL Source control, ideally Git Agile Any experience in the following would be advantageous: Latest versions of .NET AI, Machine Learning JavaScript, TypeScript and associated frameworks Containers, Docker, Kubernetes NoSQL Test tools such as xUnit, Cypress, Selenium, Jest, SoapUI This is an exciting opportunity to join a rapidly expanding company using the latest tools and technologies. If you are More ❯

with SQL Source control, ideally Git Agile Any experience in the following would be advantageous: Latest versions of .NET AI, Machine Learning JavaScript, TypeScript and associated frameworks Containers, Docker, Kubernetes NoSQL Test tools such as xUnit, Cypress, Selenium, Jest, SoapUI This is an exciting opportunity to join a rapidly expanding company using the latest tools and technologies. If you are More ❯

equivalent in a STEM degree (Computer Science, Maths, Physics, Engineering, or similar) A-levels (or equivalent) at ABB minimum, with an A in Mathematics Experience using DevOps technologies (Docker, Kubernetes, Jira, Linux, CI/CD pipelines, etc) Strong problem solving ability Apply Now More ❯

within an AWS hosted envrionment. If you're looking for a full stack development role where you can get involved in everything from the backend, frontend and infrastructure using Kubernetes and AWS then look no furhter! Their engineering department is extremely forward thinking, and they are getting features shipped and into production multiple times per day! Experience we're looking More ❯

within an AWS hosted envrionment. If you're looking for a full stack development role where you can get involved in everything from the backend, frontend and infrastructure using Kubernetes and AWS then look no furhter! Their engineering department is extremely forward thinking, and they are getting features shipped and into production multiple times per day! Experience we're looking More ❯

training infrastructure for both Software and on-prem hardware. They use both on-prem, self-managed systems and also leverage AWS infrastructure. Essential: Experience of managing an on-prem Kubernetes clusters. Working knowledge of Kubeflow and other systems such as MLflow Exposure to cloud based systems e.g. AWS, Azure or GCP (they use AWS) Knowledge of Linux systems including scripting More ❯

Strong programming skills in Python, and familiarity with ML frameworks (TensorFlow, PyTorch, etc.) Expertise in 3D reconstruction and rendering Experience with cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes, Docker) Excellent problem-solving skills and ability to work cross-functionally in a fast-paced environment Please register your interest for this role by sending your CV to Rosie O More ❯

ML/DL libraries (NumPy, Pandas, scikit-learn). Proven track record of building and deploying ML models in production environments. Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes, or similar). Experience working with cloud platforms (AWS, Azure, or GCP). Solid understanding of CNNs, object detection, segmentation, and image classification. Strong problem-solving skills and ability to More ❯

ML/DL libraries (NumPy, Pandas, scikit-learn). Proven track record of building and deploying ML models in production environments. Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes, or similar). Experience working with cloud platforms (AWS, Azure, or GCP). Solid understanding of CNNs, object detection, segmentation, and image classification. Strong problem-solving skills and ability to More ❯

ML/DL libraries (NumPy, Pandas, scikit-learn). Proven track record of building and deploying ML models in production environments. Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes, or similar). Experience working with cloud platforms (AWS, Azure, or GCP). Solid understanding of CNNs, object detection, segmentation, and image classification. Strong problem-solving skills and ability to More ❯

cloud monitoring (e.g. Grafana) Confident communicator with technical and non-technical audiences Comfortable working in collaborative, Agile environments Desirable Skills: Experience with AWS Textract, MLOps, PyTorch Knowledge of OpenShift, Kubernetes, Docker This is a 6-month contract with possible extensions. Our client operates a remote working policy, but you may on occasion, be required on-site in Edinburgh or Glasgow. More ❯

leadership role (ideally SaaS, fintech, or regulated industries). - Experience building and scaling engineering teams while ensuring high-quality delivery. - Strong expertise in secure, scalable, cloud-native platforms (AWS, Kubernetes, microservices). - Hands-on with modern backend tech: TypeScript/Node.js, Java, Postgres, Kafka. - Skilled in working with data models, APIs, service-oriented and event-driven systems. - Solid knowledge of More ❯

leadership role (ideally SaaS, fintech, or regulated industries). - Experience building and scaling engineering teams while ensuring high-quality delivery. - Strong expertise in secure, scalable, cloud-native platforms (AWS, Kubernetes, microservices). - Hands-on with modern backend tech: TypeScript/Node.js, Java, Postgres, Kafka. - Skilled in working with data models, APIs, service-oriented and event-driven systems. - Solid knowledge of More ❯

ML Frameworks: PyTorch, TensorFlow, Hugging Face Transformers Bio-AI Tools: AlphaFold, RoseTTAFold, BioBERT, DeepCell, Cellpose Data Sources: Genomic datasets, microscopy images, biomedical literature Cloud & DevOps: AWS/GCP, Docker, Kubernetes, MLflow Languages: Python (essential), SQL, Bash Ideal Candidate Profile: 4+ years of experience in machine learning, with at least 2 years in biotech, healthcare, or life sciences Strong understanding of More ❯

re Looking For 5+ years' experience in high-level engineering roles. Proven track record building ML research pipelines in complex technical environments. Experience in Python (and ideally C++) plus Kubernetes, Ray, PyTorch, Terraform, and cloud platforms (AWS, GCP, or Azure). Strong mathematical or statistical background. Background in AI-driven industries such as AI drug discovery, AdTech, ML health-tech More ❯

in DevOps/Cloud-native infrastructure engineering (Azure-focused) 3Experience in Cloud Security/DevSecOps, including tooling leadership Hands-on background with: Azure DevOps, Azure CAF, Well-Architected Frameworks Kubernetes (AKS), cloud networking, compute & storage Terraform, Bicep, YAML for Infrastructure as Code C#/.NET (Framework, Core, .NET 8) PowerShell, Python or Bash scripting Identity and Access Management, B2C or More ❯

re Looking For 5+ years’ experience in high-level engineering roles. Proven track record building ML research pipelines in complex technical environments. Experience in Python (and ideally C++) plus Kubernetes, Ray, PyTorch, Terraform, and cloud platforms (AWS, GCP, or Azure). Strong mathematical or statistical background. Background in AI-driven industries such as AI drug discovery, AdTech, ML health-tech More ❯

re Looking For 5+ years’ experience in high-level engineering roles. Proven track record building ML research pipelines in complex technical environments. Experience in Python (and ideally C++) plus Kubernetes, Ray, PyTorch, Terraform, and cloud platforms (AWS, GCP, or Azure). Strong mathematical or statistical background. Background in AI-driven industries such as AI drug discovery, AdTech, ML health-tech More ❯

re Looking For 5+ years’ experience in high-level engineering roles. Proven track record building ML research pipelines in complex technical environments. Experience in Python (and ideally C++) plus Kubernetes, Ray, PyTorch, Terraform, and cloud platforms (AWS, GCP, or Azure). Strong mathematical or statistical background. Background in AI-driven industries such as AI drug discovery, AdTech, ML health-tech More ❯

in DevOps/Cloud-native infrastructure engineering (Azure-focused) 3Experience in Cloud Security/DevSecOps, including tooling leadership Hands-on background with: Azure DevOps, Azure CAF, Well-Architected Frameworks Kubernetes (AKS), cloud networking, compute & storage Terraform, Bicep, YAML for Infrastructure as Code C#/.NET (Framework, Core, .NET 8) PowerShell, Python or Bash scripting Identity and Access Management, B2C or More ❯

of structured and unstructured datasets, handling preprocessing, cleaning, and feature engineering. Develop pipelines for creating, preparing, and optimising data for modelling. Deploy models to production using containerisation tools (Docker, Kubernetes) and ensure scalability, robustness, and monitoring. Research and apply the latest advancements in Generative AI and data science. Support model evaluation, logging, and performance tuning across GPU-based environments. Collaborate More ❯

of structured and unstructured datasets, handling preprocessing, cleaning, and feature engineering. Develop pipelines for creating, preparing, and optimising data for modelling. Deploy models to production using containerisation tools (Docker, Kubernetes) and ensure scalability, robustness, and monitoring. Research and apply the latest advancements in Generative AI and data science. Support model evaluation, logging, and performance tuning across GPU-based environments. Collaborate More ❯

of structured and unstructured datasets, handling preprocessing, cleaning, and feature engineering. Develop pipelines for creating, preparing, and optimising data for modelling. Deploy models to production using containerisation tools (Docker, Kubernetes) and ensure scalability, robustness, and monitoring. Research and apply the latest advancements in Generative AI and data science. Support model evaluation, logging, and performance tuning across GPU-based environments. Collaborate More ❯