26 to 49 of 49 Kubeflow Jobs in England

with the right to work and able to be in the office 2–3 days per week Nice to Have Background in healthcare, clinical tech, or MLOps tooling (MLflow, Kubeflow, Vertex Pipelines) What’s on Offer 💸 Competitive salary + meaningful equity 🧘‍♂️ 25 days holiday + UK bank holidays 🌱 Flexible hours and a sustainable work pace 🌇 Bright, collaborative office minutes from More ❯

with the right to work and able to be in the office 2–3 days per week Nice to Have Background in healthcare, clinical tech, or MLOps tooling (MLflow, Kubeflow, Vertex Pipelines) What’s on Offer Competitive salary + meaningful equity ‍♂️ 25 days holiday + UK bank holidays Flexible hours and a sustainable work pace Bright, collaborative office minutes from More ❯

Knowledge of cutting-edge techniques for Natural Language Processing and Computer Vision Strong grasp of basic probability concepts and machine learning lifecycle Experience with workflow and pipelining frameworks (e.g., Kubeflow, MLFlow, Argo) Understanding and application of Ethical AI considerations Ready to take your career to the next level? Apply today and be part of something extraordinary! Please either apply by More ❯

platform engineering teams to identify technical gaps, scope backend development efforts, and deliver core platform capabilities such as: Model training orchestration CI/CD for ML (e.g., using MLflow, Kubeflow, or Vertex AI Pipelines) Model versioning, monitoring, and governance Enable high-impact AdTech use cases including: Marketing Mix Modeling (MMM) Real-time personalization and bidding Audience segmentation and targeting Predictive More ❯

platform engineering teams to identify technical gaps, scope backend development efforts, and deliver core platform capabilities such as: Model training orchestration CI/CD for ML (e.g., using MLflow, Kubeflow, or Vertex AI Pipelines) Model versioning, monitoring, and governance Enable high-impact AdTech use cases including: Marketing Mix Modeling (MMM) Real-time personalization and bidding Audience segmentation and targeting Predictive More ❯

platform engineering teams to identify technical gaps, scope backend development efforts, and deliver core platform capabilities such as: Model training orchestration CI/CD for ML (e.g., using MLflow, Kubeflow, or Vertex AI Pipelines) Model versioning, monitoring, and governance Enable high-impact AdTech use cases including: Marketing Mix Modeling (MMM) Real-time personalization and bidding Audience segmentation and targeting Predictive More ❯

shell scripting and performance tuning. Nice to have: Certifications in Kubernetes, Ceph, or cloud technologies (AWS/GCP/Azure). Familiar with with ML infrastructure: Ray (KubeRay), MLFlow, KubeFlow, Nexus (Pypi) or model serving platforms. Familiar with Git, GitOps workflows to aid the Infrastructure-as-code Experience with service mesh technologies like Istio. Willing to dabble in Python Benefits More ❯

Months Ship V1 of the food-analysis API (image + text → nutrient vector → protocol tag) with < 1 s latency. Stand-up an ML Ops stack (Vertex AI/Kubeflow, Terraform-managed infra) that supports rapid retraining and audit logs. Scale the team—hire or upskill research engineers, data scientists and backend developers; formalise career ladders and a high-trust culture. More ❯

Months Ship V1 of the food-analysis API (image + text → nutrient vector → protocol tag) with < 1 s latency. Stand-up an ML Ops stack (Vertex AI/Kubeflow, Terraform-managed infra) that supports rapid retraining and audit logs. Scale the team—hire or upskill research engineers, data scientists and backend developers; formalise career ladders and a high-trust culture. More ❯

MAUs. Your First 12 Months Ship V1 of the food-analysis API (image + text → nutrient vector → protocol tag) with Stand-up an ML Ops stack (Vertex AI/Kubeflow, Terraform-managed infra) that supports rapid retraining and audit logs. Scale the team—hire or upskill research engineers, data scientists and backend developers; formalise career ladders and a high-trust More ❯

of products includes on-premise cloud solutions such as Openstack, MicroCloud and Ceph, and solutions that could be deployed either on-premises or in public clouds such as Kubernetes, Kubeflow, Spark, PostgreSQL, etc. The team works hands-on with the technologies by deploying, testing and handing over the solution to our support or managed services team at the end of More ❯

Experience building ML pipelines with MLOps best practices, including: data preprocessing, model hosting, feature selection, hyperparameter tuning, distributed & GPU training, deployment, monitoring, and retraining - Experience with MLOps (e.g., MLFlow, Kubeflow) and orchestration (e.g., Airflow, AWS Step Functions). Experience building applications using GenAI technologies (LLMs, Vector Stores, LangChain, Prompt Engineering) Amazon is an equal opportunity employer and does not discriminate More ❯

Join a world-leading cybercrime SaaS organisation in an exciting Senior/Principal AI Engineer role to deliver robust and impactful AI-based solutions to advance threat detection efficiency. Our client is headquartered in the UK and, whilst being well More ❯

Join a world-leading cybercrime SaaS organisation in an exciting Senior/Principal AI Engineer role to deliver robust and impactful AI-based solutions to advance threat detection efficiency. Our client is headquartered in the UK and, whilst being well More ❯

Join a world-leading cybercrime SaaS organisation in an exciting Senior/Principal AI Engineer role to deliver robust and impactful AI-based solutions to advance threat detection efficiency. Our client is headquartered in the UK and, whilst being well More ❯

About Netcraft Netcraft is the global leader in cybercrime detection and disruption. We're a trusted partner for three of the four largest companies in the world and many large country governments. We've blocked more than 200 million malicious More ❯

environments UK-based and available to work 2–3 days per week in-office (London) Bonus Points Experience in healthcare, medtech, or clinical systems Familiarity with MLOps tooling (MLflow, Kubeflow, Vertex Pipelines More ❯

environments UK-based and available to work 2–3 days per week in-office (London) Bonus Points Experience in healthcare, medtech, or clinical systems Familiarity with MLOps tooling (MLflow, Kubeflow, Vertex Pipelines More ❯

skills to effectively convey technical information and ideas at all levels, building trust with stakeholders. Preferred qualifications, capabilities, and skills Experience in designing and implementing pipelines using DAGs (e.g., Kubeflow, DVC, Ray). Ability to construct batch and streaming microservices exposed as gRPC and/or GraphQL endpoints. Demonstrable experience in parameter-efficient fine-tuning, model quantization, and quantization-aware More ❯

guiding organisations through early-stage discovery. Desirable: Certifications in Data Architecture, Governance, or Cloud. Experience working with or implementing DDOM frameworks. Understanding of ML Ops tools (e.g., MLflow, SageMaker, Kubeflow) and data privacy regulations (GDPR, CCPA). More ❯

across disciplines. ● Experience integrating or leveraging Large Language Models (LLMs) via APIs or platform services (e.g., OpenAI, Anthropic, Cohere). ● Familiarity with MLOps tools and practices (e.g., MLflow, SageMaker, Kubeflow). ● Experience in startup or fast-paced environments with rapidly evolving requirements Personal qualities ● Ambitious ● Driven ● Ability to work as part of a collaborative team but also work independently ● Strong More ❯

across disciplines. ● Experience integrating or leveraging Large Language Models (LLMs) via APIs or platform services (e.g., OpenAI, Anthropic, Cohere). ● Familiarity with MLOps tools and practices (e.g., MLflow, SageMaker, Kubeflow). ● Experience in startup or fast-paced environments with rapidly evolving requirements Personal qualities ● Ambitious ● Driven ● Ability to work as part of a collaborative team but also work independently ● Strong More ❯

Opportunity to work for a UK Based Edtech company Salary up to £50k depending on experience Fully remote role Key experience - ML/AI, NLP, LLMs, MongoDB, Agent Architecture, Kubeflow If you wish to keep your CV/data private feel free to WhatsApp your details/CV to me, Dan - WHO WE ARE: We are a start-up Edtech … for us to process (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS: ML/AI, NLP, LLMs, MongoDB, Agent Architecture, Kubeflow More ❯

Opportunity to work for a UK Based Edtech company Salary up to £50k depending on experience Fully remote role Key experience – ML/AI, NLP, LLMs, MongoDB, Agent Architecture, Kubeflow If you wish to keep your CV/data private feel free to WhatsApp your details/CV to me, Dan – 07704 152638 WHO WE ARE: We are a startup … for us to process (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS: ML/AI, NLP, LLMs, MongoDB, Agent Architecture, Kubeflow More ❯