51 to 61 of 61 Remote MLflow Jobs

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enterprise data and AI solutions on the Databricks Lakehouse Platform. Lead architecture for Lakehouse implementations using technologies such as Unity Catalog, Delta Live Tables, MLflow and Lakeflow. Define architecture strategies, migration approaches and technical roadmaps with customers. Translate business requirements into scalable, secure and production-ready solutions. Lead technical workshops …/CD and deployment automation. Excellent communication and stakeholder management skills. Desirable Databricks certification. Experience delivering AI or Generative AI solutions. Experience with MLflow, Terraform or Databricks Asset Bundles. Previous mentoring or technical leadership experience. Why Join Unifeye? We're building a consultancy where talented people can do their best ...

infrastructure to frontend integration. Lead architectural decisions across the ML stack, ensuring scalability, reliability, and alignment with business goals. Drive the ongoing migration from MLflow to AWS SageMaker, maintaining continuity and minimizing disruption. Define and enforce MLOps best practices across model training, serving, monitoring, and deployment. Design and maintain scalable … Deep expertise in MLOps (model training pipelines, serving infrastructure, monitoring, CI/CD) and expert-level proficiency in Python. Strong hands-on experience with MLflow (mandatory) and solid experience with AWS and cloud-native architectures. Frontend proficiency in React, with the ability to deliver end-to- end product features. Hands ...

1+ year of production ML deployment/maintenance experience Strong Python programming and ML/Data library experience (scikit-learn, pandas, NumPy, XGBoost, LightGBM, MLflow) Familiarity with cloud platforms, preferably GCP Experience with Docker and container orchestration (Kubernetes, Kubeflow) Strong attention to detail and ability to switch contexts quickly Familiarity … building and maintaining CI/CD pipelines for ML workflows collaboration attention to detail adaptability Python ML libraries: scikit-learn, pandas, NumPy, XGBoost, LightGBM, MLflow ...

Monitor and optimise DBU consumption and cluster policies, giving the client clear cost visibility Enable MLOps and GenAI use cases where in scope, including MLflow, Model Serving and Genie Act as trusted advisor to client stakeholders, running workshops, design authorities and architecture reviews Coach and upskill client and partner engineers … Workflows and DABs Desirable: Databricks Certified Data Engineer Professional, Solutions Architect Champion, or Databricks Champion status Databricks Summit, user group or community speaking MLflow, Model Serving, Mosaic AI or Genie delivery experience Lakebase, Delta Sharing or Lakehouse Federation experience Knowledge of GDS Service Standard, NCSC cloud security principles and government ...

monitoring, performance tracking, drift detection, and automated retraining capabilities to ensure ongoing reliability and business value Work with cloud-native technologies including Azure Databricks, MLflow, and related platforms to support enterprise-scale machine learning workloads Collaborate with Data Engineers, Architects, and Developers to deliver secure, scalable, and maintainable machine learning …/CD pipelines, MLOps frameworks, and automated machine learning deployment processes Hands-on experience with Azure Databricks or similar machine learning platforms (ie MLFlow, KubeFlow, SageMaker etc) Experience building APIs, microservices, and cloud-based solutions that integrate machine learning capabilities into wider platforms and applications Excellent collaboration and technical communication ...

assets rather than one-off analysis or tables . Partner with MLOps colleagues to deploy, monitor and retrain models, with clear ownership, versioning in MLflow and documented handover points. Turn complex model outputs into clear, commercially relevant recommendations for senior stakeholders , including being transparent about uncertainty and where a model … experience writing version-controlled, tested and maintainable code. Experience with the Python geospatial ecosystem and working with PySpark on Databricks. Working knowledge of dbt, MLflow and production model deployment patterns . Confidence using AI-assisted development tooling appropriately as part of the development lifecycle. Strong written and verbal communication skills ...

converting notebooks into modular, tested, production-ready code. Deploy models into batch and real-time environments, managing versioning, promotion, rollback, and scheduled workflows via MLflow and APIs. Implement monitoring and observability, including data and model drift detection, performance alerts, logging, and automated retraining. Collaborate with Data Engineering and Platform teams … Maintain engineering standards, ensuring high-quality testing, documentation, code quality, reproducibility, and operational reliability. Your skills and experience: Experience with ML platforms including Databricks, MLflow, Delta Lake, and cloud environments. Proficient in Python, PySpark, and SQL, following production coding best practices. Understanding of data, distributed ML pipelines, and model deployment ...

converting notebooks into modular, tested, production-ready code. Deploy models into batch and real-time environments, managing versioning, promotion, rollback, and scheduled workflows via MLflow and APIs. Implement monitoring and observability, including data and model drift detection, performance alerts, logging, and automated retraining. Collaborate with Data Engineering and Platform teams … Maintain engineering standards, ensuring high-quality testing, documentation, code quality, reproducibility, and operational reliability. Your skills and experience: Experience with ML platforms including Databricks, MLflow, Delta Lake, and cloud environments. Proficient in Python, PySpark, and SQL, following production coding best practices. Understanding of data, distributed ML pipelines, and model deployment ...

English - C2 Agentic AI Expertise: evaluating autonomous agents, multi-step workflows, or RAG applications Strong Python proficiency Experience with AI evaluation tools such as MLflow, Galileo, PyRIT Deep knowledge of prompt engineering, vector databases, tool schema design, and execution telemetry Hands-on experience in adversarial testing, threat modeling, or model … safety guardrails Leadership: strong communication, technical leadership, growth mindset, continuous innovation communication collaboration growth mindset Python proficiency MLflow Galileo ...

model governance committee: chairing review meetings, escalating high-risk models and producing governance metrics for risk committees and regulators• Build model governance tooling: integrating MLflow, Azure ML or Databricks with governance workflows, automated testing and regulatory reportingRequired Skills & Experience:• 7+ years of model risk management, quantitative risk or ML engineering … applied to ML models• Hands-on Python skills: you can read model code, run validation analyses and build monitoring scripts — not just review documentation• MLflow, Azure ML or Databricks experience for model lifecycle management• Regulatory knowledge in at least one sector: financial services (preferred), healthcare, insurance or utilities• Strong statistical ...