1 to 25 of 41 Kubeflow Jobs in the UK

Python, experience with AI/ML frameworks (e.g., TensorFlow, PyTorch), and experience with MLOps frameworks/tools (e.g. Sagemaker pipelines, Azure ML Studio, VertexAI, Kubeflow, MLFlow, Seldon, EvidentlyAI)What we offerCulture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level ...

. Optimise Python performance through effective use of loops , vectorization , threading , and understanding of the Global Interpreter Lock (GIL) . Desirable Experience Experience with Kubeflow , Airflow , or dbt . Hands-on experience with Google Cloud Platform (GCP) . Knowledge of containerisation (Docker, Kubernetes) and CI/CD practices. Familiarity with ...

Bedrock, or Google Vertex AI [Preferred]). Knowledge of SQL and advanced data modeling for structured and unstructured data. Familiarity with MLOps tools (MLflow, Kubeflow) and containerization (Docker, Kubernetes). Experience working in an Agile/Scrum development environment. Knowledge of AI security frameworks and responsible AI practices (e.g., OWASP ...

security certifications Experience deploying ML models into production environments Experience with Kubernetes, OpenShift, or cloud-native deployment architectures Experience with MLOps tooling (e.g. MLflow, Kubeflow, model monitoring platforms) Experience applying DevSecOps practices within cloud or controlled environments Exposure to large language models or generative AI systems Experience with data engineering ...

levels; convey information clearly and create trust with stakeholders. Preferred qualifications, capabilities, and skills Experience designing/implementing pipelines using DAGs (e.g. Kubeflow, DVC, Ray) Experience of big data technologies Have constructed batch and streaming microservices exposed as REST/gRPC endpoints Experience with container orchestration tools (e.g. Kubernetes, Helm ...

levels; convey information clearly and create trust with stakeholders. Preferred qualifications, capabilities, and skills Experience designing/implementing pipelines using DAGs (e.g. Kubeflow, DVC, Ray) Experience of big data technologies Have constructed batch and streaming microservices exposed as REST/gRPC endpoints Experience with container orchestration tools (e.g. Kubernetes, Helm ...

ideas at all levels; convey information clearly and create trust with stakeholders.Preferred qualifications, capabilities, and skillsExperience designing/implementing pipelines using DAGs (e.g. Kubeflow, DVC, Ray)Experience of big data technologiesHave constructed batch and streaming microservices exposed as REST/gRPC endpointsExperience with container orchestration tools (e.g. Kubernetes, Helm) Knowledge ...

demonstrated ability to write clear documentation and collaborate across engineering teams. Ecosystem Knowledge : Hands‐on experience supporting software delivery and MLOps tooling (e.g., Kubernetes, Kubeflow, MLflow, Triton, Docker, or SageMaker/Azure ML). Equal Opportunity Statement We are committed to fostering and promoting an inclusive professional environment ...

/ML, or related field.Preferred QualificationsCertifications such as:CISSP, CISM, CCSPCertified AI Security (e.g., CAISP or similar)Experience with:MLOps platforms (e.g., MLflow, Kubeflow)AI red teaming and adversarial testingKnowledge of secure coding and DevSecOps practices.Familiarity with Responsible AI principles and ethical AI frameworks.Key SkillsAI/ML security and adversarial ...

related field. Preferred Qualifications Certifications such as:CISSP, CISM, CCSPCertified AI Security (e.g., CAISP or similar)Experience with:MLOps platforms (e.g., MLflow, Kubeflow)AI red teaming and adversarial testingKnowledge of secure coding and DevSecOps practices.Familiarity with Responsible AI principles and ethical AI frameworks. Key Skills AI/ML security ...

MLOps platforms, enabling ML and LLM workloads (not model research). Experience in areas such as: Building or operating MLOps platforms using tools like Kubeflow or similar frameworks Running model serving and inference platforms (e.g. KServe, vLLM, or equivalent) Supporting LLM-based workloads , including optimisation and serving considerations Providing notebook ...

need practical understanding of how ML and AI workloads behave in production. Experience or exposure to areas such as: MLOps platforms (e.g. Kubeflow or similar frameworks) Model serving and inference platforms (e.g. KServe, vLLM , or equivalent) Supporting LLM-based workloads , including performance and scaling considerations Notebook environments such as JupyterHub ...

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 ...

programming and visualisation languages and libraries (SQL, python, matplotlib, etc.) as well as some of the supporting tools and platforms (e.g. git, MLFlow, Kubernetes, Kubeflow, Trino, AirFlow).A strong understanding of statistical concepts (hypothesis testing, sampling, probability distributions).Excellent communication and collaboration skills to effectively bridge the gap between technical ...

maintenance. Proficiency in Python and familiarity with ML libraries/frameworks such as TensorFlow and PyTorch. Experience with ML training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and model‐serving technologies (e.g., TensorFlow Serving, Triton, TorchServe). Knowledge of high‐volume data processing and real‐time streaming architectures. Strong understanding ...

based application development (AWS & Azure). Familiarity with one or more ML frameworks and technologies: scikit‐learn, xgboost, TensorFlow, PyTorch, Spark, SageMaker, Vertex AI, Kubeflow, Seldon, Triton. Strong communication skills, able to express ideas clearly and collaborate across teams. #J-18808-Ljbffr ...

Language Processing (NLP) and Computer Vision techniques Strong understanding of probability concepts and the machine learning lifecycle Experience with workflow and pipelining frameworks (e.g., Kubeflow, MLFlow, Argo) Awareness and application of Ethical AI principles This role offers a unique opportunity to work on cutting-edge projects, expand your expertise ...

life cycle to enable the building and maintenance of our AI systems. Our teams make extensive use of open source technologies such as, Kubernetes, Kubeflow, KServe, Argo, Buildpacks, and other cloud-native MLOps technologies. From technical governance to upstream collaboration, we are committed to enhancing the impact and sustainability ...

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 ...

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 ...

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 ...

infrastructure. Proficiency in programming languages such as Python, Java, or C++. Experience with data pipeline and workflow management tools (e.g., Apache Airflow, Kubeflow). Strong problem-solving skills and ability to work in a fast-paced environment. Excellent communication and collaboration skills. Proven experience in AI/ML infrastructure engineering ...

infrastructure. Good proficiency in programming languages such as Python, Java, or C++. Experience with data pipeline and workflow management tools (e.g., Apache Airflow, Kubeflow). Strong problem-solving skills and ability to work in a fast-paced environment. Excellent communication and collaboration skills. Significant experience in AI/ML infrastructure ...

Horovod, DeepSpeed, Megatron-LM, or equivalent multi-node training frameworks.Inference & serving: NVIDIA Triton, vLLM, TensorRT-LLM, or equivalent high-throughput serving platforms.MLOps/LLMOps: Kubeflow, MLflow, and at least one hyperscaler ML platform (SageMaker, Azure ML, or Vertex AI).Generative AI: LLM fine-tuning (LoRA/QLoRA), RAG architecture design … code: Terraform and Ansible for repeatable, automated provisioning of GPU clusters and AI platform environments; GitOps (ArgoCD) for continuous, declarative platform delivery.Pipeline orchestration: Kubeflow Pipelines, Apache Airflow, or Argo Workflows to orchestrate multi-stage training, fine-tuning, and inference pipelines.Cluster & workload scheduling: Slurm, Run:ai, and NVIDIA Base Command Manager ...

Megatron-LM, or equivalent multi-node training frameworks. Inference & serving: NVIDIA Triton, vLLM, TensorRT-LLM, or equivalent high-throughput serving platforms. MLOps/LLMOps: Kubeflow, MLflow, and at least one hyperscaler ML platform (SageMaker, Azure ML, or Vertex AI). Generative AI: LLM fine-tuning (LoRA/QLoRA), RAG architecture … code: Terraform and Ansible for repeatable, automated provisioning of GPU clusters and AI platform environments; GitOps (ArgoCD) for continuous, declarative platform delivery. Pipeline orchestration: Kubeflow Pipelines, Apache Airflow, or Argo Workflows to orchestrate multi-stage training, fine-tuning, and inference pipelines. Cluster & workload scheduling: Slurm, Run:ai, and NVIDIA Base ...