101 to 125 of 138 MLflow Jobs in London

Lead technical implementation of pilot models on the Global AI Platform. Develop reusable migration accelerators and standards. Key Experience Databricks Lakehouse Platform. Databricks ML, MLflow, Unity Catalog, Workflows, and Model Serving. CI/CD and MLOps automation. Python and production ML deployment patterns. ...

gateways. Experience with multi-modal models, embeddings or similarity search at scale. Experience with ML experiment tracking and workflow tooling, such as MLflow or Argo Workflows. Experience with SQL databases, including writing and optimising queries against large datasets. Preferably based in London, though Manchester and Bath are also options. AtNetcraftwe ...

Deployment (MLOps): Partner with our engineers to transition your models from prototype into scalable, monitored, and reliable production pipelines using tools like MLflow and Optuna. Your Skills Strong hands-on professional experience in Data Science, successfully building and deploying systems from prototype to production in a fast-paced environment. Strong … handling columnar data formats like Parquet. MLOps Exposure: Experience with tools and frameworks for training, tracking, deploying, and monitoring models in production (e.g., MLflow, Optuna, Prefect, or Airflow). Background in supply chain forecasting, enterprise AI, or retail analytics M.S. or Ph.D. in Computer Science, Artificial Intelligence, Statistics, Data Science ...

Deployment (MLOps): Partner with our engineers to transition your models from prototype into scalable, monitored, and reliable production pipelines using tools like MLflow and Optuna. Your Skills Strong hands-on professional experience in Data Science, successfully building and deploying systems from prototype to production in a fast-paced environment. Strong … handling columnar data formats like Parquet. MLOps Exposure: Experience with tools and frameworks for training, tracking, deploying, and monitoring models in production (e.g., MLflow, Optuna, Prefect, or Airflow). Desirable Background in supply chain forecasting, enterprise AI, or retail analyticsM.S. or Ph.D. in Computer Science, Artificial Intelligence, Statistics, Data Science ...

обеспечивать соответствие требованиям безопасности и корпоративной архитектуре. Основные обязанности включают мониторинг производительности, планирование ресурсов, внедрение MLOps-процессов и поддержку интеграций с Databricks, MLflow, Jenkins и OpenShift. #J-18808-Ljbffr ...

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 ...

evaluation. Build hands-on proofs of concept and reference implementations that operationalise large-scale LLM and deep learning workloads on Databricks (Mosaic AI, MLflow, Model Serving, Vector Search, Unity Catalog governance), tuned to the fast iteration cycles Emerging DNB customers expect. Lead fine-tuning and model-customisation engagements on open … distributed training, GPU workloads, and the full MLOps lifecycle (tracking, registry, serving, monitoring). Proficiency in Python and the ML ecosystem (PyTorch/Transformers, MLflow, Spark), and comfort building production-quality reference implementations. Experience with the Databricks platform — or the ability to ramp on it quickly — including Mosaic AI, Model ...

ReqID: FEQ427R340 Location: London Skills: Data Science, Machine Learning, AI, LLM, GenAI Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for Databricks customers ...

Senior Specialist Solutions Architect (AI/ML) London, United Kingdom Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for Databricks customers and the ...

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 ...

As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement ...

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 ...

About the BusinessQuilter plc is a leading wealth management business, helping to enable brighter financial futures for every generation. Quilter oversees 154.7 billion in customer investments (as of June 2026). It has an adviser ...

REQ ID: FEQ327R160 Location: London, UK Recruiter: Dina Hussain At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer‐centric mindset guides us to ...

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 ...

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 ...

innovation, and strategic alliances and you will bring deep expertise in the Databricks Data Intelligence Platform, Lakehouse architecture, Delta Lake, Apache Spark, Unity Catalog, MLflow, Mosaic AI, data engineering, machine learning, GenAI and cloud-native delivery. As a key leader within our AI & Data Practice, you will work closely with … Shape end-to-end solutions using Databricks Intelligence Platform, Delta Lake, Apache Spark, Unity Catalog, Databricks Workflows, Delta Live Tables/Lakeflow-style pipelines, MLflow, Feature Store, Model Serving and Mosaic AI capabilities. Team Leadership & Delivery • Build, lead, upskill and mentor a high-performing team of Databricks engineers, and consultants. ...

innovation, and strategic alliances and you will bring deep expertise in the Databricks Data Intelligence Platform, Lakehouse architecture, Delta Lake, Apache Spark, Unity Catalog, MLflow, Mosaic AI, data engineering, machine learning, GenAI and cloud-native delivery. As a key leader within our AI & Data Practice, you will work closely with … Shape end-to-end solutions using Databricks Intelligence Platform, Delta Lake, Apache Spark, Unity Catalog, Databricks Workflows, Delta Live Tables/Lakeflow-style pipelines, MLflow, Feature Store, Model Serving and Mosaic AI capabilities. Team Leadership & Delivery Build, lead, upskill and mentor a high-performing team of Databricks engineers, and consultants. ...

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 ...

innovation, and strategic alliances and you will bring deep expertise in the Databricks Data Intelligence Platform, Lakehouse architecture, Delta Lake, Apache Spark, Unity Catalog, MLflow, Mosaic AI, data engineering, machine learning, GenAI and cloud-native delivery. As a key leader within our AI & Data Practice, you will work closely with … Shape end-to-end solutions using Databricks Intelligence Platform, Delta Lake, Apache Spark, Unity Catalog, Databricks Workflows, Delta Live Tables/Lakeflow-style pipelines, MLflow, Feature Store, Model Serving and Mosaic AI capabilities. Build, lead, upskill and mentor a high-performing team of Databricks engineers, and consultants. Land into ...

Job-ID: 2275fc49-02d9-4139-9d2a-4a7f10ea4345Location: LondonSalary: 81425 - 116438 GBPType: Full timePosted: 2026-07-23Contact: ivy.chiang@klarna.comAt Klarna, our credit risk models sit at the heart of how we underwrite and price ...

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 ...