351 to 361 of 361 Kubernetes Jobs in Central London

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 ❯

Key Responsibilities: Conduct in-depth research and development on the latest Azure container features including AKS (Azure Kubernetes Service), ACI (Azure Container Instances), and ACA (Azure Container Apps). Create and maintain comprehensive documentation on newly implemented features suitable for an enterprise environment. Design and implement robust monitoring and observability tools to track container performance and health. Automate testing processes … resources, ensuring streamlined operations and reduced manual efforts. Contribute to the software development lifecycle with an emphasis on the security and scaling of container-based applications using GitLab CI, Kubernetes, and Azure DevOps. Required Skills & Experience: Minimum of 4 years' hands-on experience with containers, particularly in a Microsoft Azure environment. Demonstrated expertise in AZURE KUBERNETES SERVICES (AKS), Azure Container … Azure DevOps, and other relevant technologies. Experience in designing and implementing secure and scalable container solutions in Azure, leveraging tools such as Microsoft Entra ID, Azure CLI, and Azure Kubernetes Service. Familiarity with various Azure Cosmos DB APIs and PostgreSQL for database management and operation. Proficient in Helm charts and the Helm release process . Skilled in writing PowerShell and More ❯

and optimising a high-performance platform purpose-built for AI, ML, LLM and Generative AI workloads. You will lead on architecture, deployment and performance tuning using technologies such as Kubernetes, NVIDIA Run:AI, Ubuntu, Weka NeuralMesh and HGX B200 GPU nodes. Once live, you will take ownership of the platform’s operation and evolution, ensuring it delivers consistent world-class … configuring a complete AI and ML operations platform within a large-scale HPC environment • Installing and optimising Ubuntu (Canonical) across GPU and non-GPU compute nodes • Implementing and managing Kubernetes for container orchestration and performance at scale • Installing and configuring NVIDIA GPU Operator, Network Operator and Run:AI orchestration platform • Integrating Run:AI with Kubernetes clusters to deliver scalable GPU … designing, deploying and supporting HPC or large-scale compute environments for AI and ML workloads • Strong understanding of Ubuntu server administration, networking and performance tuning • Hands-on experience with Kubernetes and GPU-enabled workloads • Practical knowledge of NVIDIA GPU technologies, particularly GPU Operator and Run:AI • Familiarity with distributed storage and AI data systems such as Weka NeuralMesh • Experience with More ❯

academic institution. The role requires strong hands-on engineering expertise combined with solid consulting capabilities across AI/ML Engineering platforms, Ubuntu Server, NVIDIA Technologies (Run: AI, GPU Operator), Kubernetes containerisation, and High-Performance Computing (HPC) environments to ensure successful platform delivery and ongoing operational excellence. Key Responsibilities: Deploy and configure a complete AI/ML Ops platform, including Ubuntu … OS, Kubernetes, NVIDIA GPU/Network Operators, and Run: AI orchestration Conduct knowledge transfer, installations, and validate platform performance against AI/ML development requirements Provide ongoing operational support and platform ownership, including monitoring, troubleshooting, and implementing updates/patches Deliver technical guidance to researchers and developers while engaging stakeholders to understand evolving requirements Create comprehensive documentation covering configuration, test … internal specialists throughout implementation and BAU phases Required Qualifications & Experience: Strong experience deploying and supporting HPC environments for AI/ML workloads Extensive experience in Ubuntu server administration and Kubernetes cluster management experience Hands-on experience with NVIDIA GPU technologies (GPU Operator) and AI/ML orchestration platforms (Run: AI highly desirable) Understanding of networking in containerised environments and experience More ❯

Research Engineer (Data Infra/ML) London (Hybrid) Can you build & optimize distributed ML pipelines with Ray or Spark? Do you love speeding up cloud infra (Kubernetes, Docker, CI/CD)? Excited to build the data backbone for large-scale ML training? We're a tier 1 VC-backed start-up, developing hyper-realistic 3D simulations using AI. Our customers … that make data discoverable, reusable, and reliable throughout the ML lifecycle. You Strong Python skills and experience with distributed systems (Ray, Spark, Flyte, Dask). Hands-on with cloud, Kubernetes, and distributed training (Ray, PyTorch DDP, Horovod). Familiar with dataset versioning and experiment tracking (DVC, MLflow). Bonus Points Experience in simulation, robotics, or autonomy pipelines. Background in deep More ❯

optimize APIs that handle complex biological and ML-driven workloads. Build and maintain data pipelines for ingesting, transforming, and serving scientific data at scale. Deploy and manage infrastructure across Kubernetes and AWS, ensuring robustness and observability. Drive system reliability through automated testing, monitoring, and fault-tolerant design. Collaborate across disciplines , working with ML engineers, biologists, and platform teams to ensure … have Deep experience building and scaling backend systems and distributed applications . Strong coding skills in Python , with an understanding of performance tuning and concurrency. Hands-on experience with Kubernetes , AWS , and modern cloud infrastructure . Proficiency with databases — schema design, performance optimization, and analytics. Familiarity with REST APIs , websockets, and authentication/security best practices. A disciplined engineering mindset More ❯

Full-time | Salary + Equity | Purpose-led startup Joyned is on a mission to help organisations build strong, safe communities through better communication. We’re looking for a hands-on software engineer to take ownership of our codebase and help More ❯

Full-time | Salary + Equity | Purpose-led startup Joyned is on a mission to help organisations build strong, safe communities through better communication. We’re looking for a hands-on software engineer to take ownership of our codebase and help More ❯

Full-time | Salary + Equity | Purpose-led startup Joyned is on a mission to help organisations build strong, safe communities through better communication. We’re looking for a hands-on software engineer to take ownership of our codebase and help More ❯

truly next-generation software creation platform. We’re looking for experienced Platform Engineers who can code and think like builders. Experience with Go or Python and modern cloud environments (Kubernetes, EKS, GKE, or AKS) will be key. MUST HAVE: strong coding background in either Go, Python, or other language. Experience leveraging Kubernetes (GKE, AKS, EKS etc.) Hybrid working environment More ❯

Lead Go Engineer Go/Elasticsearch/Kubernetes Up to £115k salary Hybrid role - 2 days per week on-site in Worcester, Chester or London office ryan.horne@searchability.com We’re on a mission to build an exceptional engineering team — one that’s diverse, curious, and passionate about solving complex challenges at scale. You’ll play a key role in shaping … write hands-on code Mentor engineers and raise the bar for technical excellence Balance agility, scalability, and reliability in a fast-moving environment Tech you’ll work with: Go, Kubernetes, ElasticSearch, SQL Server, MongoDB, GitOps (Argo CD), data pipelines, and emerging AI tools for smarter engineering. Join a collaborative, forward-thinking team where you’ll have the autonomy to innovate More ❯