20 of 20 Remote/Hybrid Kubeflow Jobs in the UK

Milvus, pgvector, or similar retrieval platforms. Hands‐on use of LangGraph, OpenAI Agents SDK, Google ADK, CrewAI, or other agentic frameworks. Familiarity with MLflow, Kubeflow, Ragas, DeepEval, OpenJudge, LangSmith, or comparable MLOps/LLMOps and evaluation tooling. Experience with vLLM, NVIDIA Triton, quantization, GPU memory sizing, or distributed inference. Python ...

Milvus, pgvector, or similar retrieval platforms. Hands‐on use of LangGraph, OpenAI Agents SDK, Google ADK, CrewAI, or other agentic frameworks. Familiarity with MLflow, Kubeflow, Ragas, DeepEval, OpenJudge, LangSmith, or comparable MLOps/LLMOps and evaluation tooling. Experience with vLLM, NVIDIA Triton, quantization, GPU memory sizing, or distributed inference. Python ...

Studio, OpenAI, AKS), GCP (Vertex AI, Cloud Run), AWS (Bedrock, SageMaker)* Experience building and automating AI/ML pipelines using tools such as MLflow, Kubeflow, Azure ML, Vertex Pipelines, Airflow or Google ADK* Hands-on experience with Generative and Agentic AI frameworks such as LangChain, LlamaIndex, CrewAI, Autogen, Google ...

APIs, scripts and CI/CD automationWorking knowledge of modern MLOps stacks including experiment tracking and artifact managementHands-on experience with orchestration tools (e.g., Kubeflow, Apache Airflow, Metaflow or Prefect)Demonstrated skills with Docker, Kubernetes and distributed deploymentsPractical knowledge of Infrastructure-as-Code (Terraform) and a major cloud provider ...

skills and attention to detail Experience with LLMs and generative AI (OpenAI, Hugging Face, LangChain) Knowledge of NLP or computer vision Experience with MLflow, Kubeflow or similar MLOps tools What We Offer ✓ Competitive salary based on experience ✓ Diverse AI projects across multiple industries ✓ Collaborative and research-driven team environment ...

automated evaluation. Education: PhD in AI/ML/CS or a related field. Beneficial knowledge: Distributed model training & infra: PyTorch DDP and FSDP, Kubeflow, Slurm, Kubernetes, and a large‐scale training framework such as DeepSpeed, Megatron or TorchTitan. LLM/Agent tooling: evaluation harnesses, prompt optimisation, agent frameworks. Inference ...

estimation. Multi-object localisation or multi-modal perception systems. GPU optimisation, CUDA, inference acceleration or edge AI. Real-time computer vision systems. Docker, Kubernetes, Kubeflow or MLOps pipelines. Aerial, satellite or ISR imagery. Synthetic data generation, Unreal Engine or NVIDIA Omniverse. Distributed training and large-scale model optimisation. Defence, government ...

including real-time serving, feature stores, autoscaling, and blue/green deployments Strong Python and SQL skills Hands-on GCP experience, especially Vertex AI, Kubeflow pipelines, and BigQuery — or strong fluency on an equivalent cloud with a clear ability to get to Vertex fast Solid CI/CD and production ...

environments. Python: Strong capability in developing production-quality AI/ML code. LLMOps & AI Model Management: Familiarity with tools like MLflow, LangChain, Hugging Face, Kubeflow, or similar platforms. Data Processing: Working knowledge of Databricks/Spark or comparable large-scale data processing tools. SQL: Solid capabilities in data querying ...

traditional physics solvers (OpenFOAM/Simcenter) into ML pipelines for active learning and model refinement. Setup \"physics-aware\" CI/CD and experiment tracking (Kubeflow/MLFlow) that validates physical consistency laws. Skills/Must have Orchestration: Expert-level Kubernetes (AKS/EKS) is essential. ML Frameworks: Strong proficiency ...

equivalent practical experience. Familiarity with our core stack, with strong experience in at least two of: Python, TypeScript, relational databases, APIs, Docker, Kubernetes, Kubeflow, AWS. Strong core software engineering and DevOps skills, including CI/CD, version control, containerisation, and cloud deployment. A solid grasp of engineering best practice, producing ...

equivalent practical experience. Familiarity with our core stack, with strong experience in at least two of: Python, TypeScript, relational databases, APIs, Docker, Kubernetes, Kubeflow, AWS. Strong core software engineering and DevOps skills, including CI/CD, version control, containerisation, and cloud deployment. A solid grasp of engineering best practice, producing ...

Jupyter, Pandas, Scikit Learn, Matplotlib) Strong software development skills (Python is the preferred language) Proven experience in deploying ML/AI services suing Kubernetes & KubeFlow Strong management and leadership skills - previous experience managing a team Strong influencing, communication and stakeholder management skills Be Customer Focused - constantly improving our customers’ experience ...

Engineering, and Managed Services on cloud and on prem AI/ML & MLOps - Open source AI/ML solutions, AIOps automation, model lifecycle management, Kubeflow, MLFlow, KServe, and AI infrastructure on cloud and edge IoT - Ubuntu on embedded devices and/or edge servers, device management, and robotics Cloud - Ubuntu ...

London area. You will design cloud-native ML infrastructure on AWS and Kubernetes, create scalable environments for training and inference, and automate tooling with Kubeflow, Ray, IaC and CI/CD. #J-18808-Ljbffr ...

with lossless Ethernet tuning (PFC, ECN, Adaptive Routing) Deliver tailored bare-metal (Slurm, OpenMPI) and cloud-native (Kubernetes, GPU Operator, Network Operator, Run:ai, Kubeflow) multi-tenant architectures, integrated with GPUDirect Storage and high-performance file systems such as VAST Data Act as technical lead alongside sales: run architecture workshops ...

optimise GPUDirect Storage and parallel file system (VAST Data) data paths to prevent GPU starvation Maintain and tune the NVIDIA GPU Operator, Network Operator, Kubeflow and Slurm plugins across bare-metal and containerised environments, and design automated node-cordoning, pod eviction and repair workflows driven by real-time telemetry Drive ...

About Zaizi Zaizi is a digital consultancy specialising in delivering user-centred, secure, and scalable services for complex public sector challenges. We work in highly regulated environments, partnering closely with our clients to design and ...

more: Apache ecosystem, SQL, Python. Web - HTML, CSS, JavaScript, XML, SOAP. Experience with Secure DevSECOps within an Agile/SAFe environment. Containerisation - Docker, Kubernetes, Kubeflow etc. Software development capability. Any form of prior development expertise would be beneficial, but the eagerness and desire to learn new technologies would be preferable. ...

Tripledot Studios is one of the largest independent mobile games companies in the world. We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios. Our expanded portfolio includes ...