101 to 121 of 121 MLflow Jobs in England

mechanics, and reproduce or adapt it in clean, modular Python. Software fundamentals: maintainable Python, Git, and rigorous testing with PyTest. Experiment tracking: Weights & Biases, MLflow, or TensorBoard to document and reproduce dense training runs. Nice to have An advanced degree (MSc/PhD) in a quantitative field; experience with large ...

have a good knowledge of modern software engineering best practices, microservices, TDD/DDD, common Design Patterns Experience with Databricks, PostgreSQL, Amazon RedShift or MLflow would be great but not essential What's in it for you: As a Backend Software Engineer/Developer (Machine Learning AWS) you will earn ...

Exceptional command of the English language Nice-to-Have We’d also love experience with: Version control for data and artefacts: DeltaLake DVC MLFlow Designing and operating cloud-based systems AWS and/or Databricks Messaging platforms Infrastructure as Code tools such as: Terraform CloudFormation Pulumi Kubernetes and service mesh ...

/IEC 27001, UK GDPR/DPA 2018). Hands-on exposure to one or more platforms: Microsoft Purview, Azure ML, Databricks/MLflow, Azure Fabric, Power BI governance; plus experience with data catalogues (e.g., Collibra, Alation) is a bonus. Exposure to MLOps processes (model registry, approval workflows, monitoring, incidents ...

delivery of ML infrastructure across backend and frontend, while guiding a 5+ engineering team. The role focuses on deploying scalable ML systems, migrating MLflow to AWS SageMaker, and enforcing MLOps best practices, with collaboration across data science, engineering, and operations in a hybrid London or remote Spain setup. #J ...

based feature engineering. You will collaborate with cross-functional teams, mentor juniors, and contribute to long-term modeling vision, leveraging Python, SQL, XGBoost, and MLFlow in a fast-paced environment. #J-18808-Ljbffr ...

enterprise data and AI solutions on the Databricks Lakehouse Platform. Engineer production-grade Lakehouse implementations using technologies such as Unity Catalog, Delta Live Tables, MLflow and Lakeflow. Own the hardest technical problems on an engagement - performance tuning, complex migrations, scale and reliability. Set engineering standards for code quality, testing, observability … testing frameworks 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. Experience building reusable frameworks, accelerators or internal platform tooling. Previous technical leadership, mentoring or engineering-standards ownership at senior or principal ...

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What ...

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 ...

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 ...

Overview Strategic Account Executive - Consumer Goods Industry, London, United Kingdom. Databricks is seeking a Strategic Account Executive to grow one of our most strategic CPG customers in the UK, leveraging experience in selling to the ...

At Klarna, our credit risk models sit at the heart of how we underwrite and price risk for millions of consumers globally. We're looking for a Lead Data Scientist to help shape the next ...

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 ...

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play ...

Senior Staff Software Engineer - Unity Catalog Runtime Enforcement London, United Kingdom RDQ127R176 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation ...

Do you want to help solve the world's toughest problems with big data and AI? This is what we do every day at Databricks! Leading a team of Enterprise Named and Strategic Account Executives ...