8 of 8 Kubeflow Jobs in the UK

Lead AI Engineer

Hiring Organisation
Capgemini
Location
Manchester, United Kingdom
Employment Type
Full Time
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 ...

AI Engineering Consultant / Senior Consultant

Hiring Organisation
Capgemini
Location
Greater London, United Kingdom
Employment Type
Full Time
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 ...

Software Engineering Team Lead

Hiring Organisation
Forward Role Secure
Location
Cheltenham, England, United Kingdom
Desirable (AI & Data) Vector DBs: Milvus, Weaviate, Pinecone Data orchestration: Airflow, Prefect, Dagster Search: ElasticSearch/OpenSearch AI frameworks: LangChain, Hugging Face MLOps: MLflow, Kubeflow If you are looking for an opportunity to work on mission-critical systems at the forefront of UK National Security? Apply ...

MLOps Engineer (SC Clearance)

Hiring Organisation
CGI
Location
Gloucestershire, United Kingdom
Employment Type
Full Time
developing in Python for data or platform engineering •Strong proficiency in Linux systems and command-line environments •Experience with MLOps tools such as MLflow, Kubeflow or Airflow •Familiarity with monitoring tools such as Prometheus or Grafana •Experience with containerisation and orchestration (Docker, Kubernetes, Terraform) •Understanding of CI/CD pipelines ...

Machine Learning Engineer / MLOps Engineer (Contract)

Hiring Organisation
Brio Digital
Location
United Kingdom
large-scale data processing. Desirable Experience: Experience with Generative AI, LLMs, RAG architectures, or AI agents. Experience with ML platforms such as MLflow, Kubeflow, SageMaker, Vertex AI, or Azure ML. Knowledge of feature stores and model registries. Experience with streaming technologies such as Kafka or Kinesis. Exposure to FinOps … cloud cost optimisation. Experience operating within regulated environments. Technology Stack: Python | AWS | Kubernetes | Docker | Terraform | GitHub Actions | Jenkins | MLflow | Kubeflow | SageMaker | PyTorch | TensorFlow | Prometheus | Grafana | Datadog | Kafka What's on Offer: Fully remote working within the UK. Opportunity to work on greenfield AI and machine learning initiatives. High-impact role ...

Lead Platform Engineer

Hiring Organisation
Lorien
Location
London, South East, England, United Kingdom
Employment Type
Contractor
Contract Rate
Salary negotiable
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 ...

Senior Platform Engineer

Hiring Organisation
Lorien
Location
London, South East, England, United Kingdom
Employment Type
Contractor
Contract Rate
Salary negotiable
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 ...

Machine Learning Engineer

Hiring Organisation
Randstad Digital
Location
London, United Kingdom
Employment Type
Contract
Contract Rate
£525 - £715 per day
system-heavy deployment role, not a research or prototyping position). The Technical Stack: Strong proficiency in TensorFlow is strictly required. Experience with Kubeflow is a massive plus. Lifecycle Ownership: Complete comfort handling the end-to-end ML lifecycle: prototyping, building robust data pipelines, monitoring, and executing drift detection. Soft ...