51 to 75 of 137 MLflow Jobs in London

Pulumi Proficiency with AWS and container technologies such as Docker and Kubernetes Solid Python skills and familiarity with ML libraries and tooling (e.g., MLflow, pandas, scikit-learn) A track record of owning and operating complex systems at scale Strong communication skills with the ability to produce clear, technical documentationExperience working ...

requirements and communicate findings effectively. Stay current with developments in AI and machine learning through continuous learning. Technical Stack Core: Power BI LangChain basics MLflow Databricks Hugging Face Transformers What You'll Bring Hands-on experience in data science or applied analytics. Solid Python programming skills and understanding of machine ...

technical planning, architecture decisions and engineering best practices. Essential experienceStrong Python development skills. Experience with Machine Learning experiment tracking and model registries using MLflow, Weights & Biases, Neptune, ClearML or a similar platform. Experience with distributed training frameworks such as Ray, DeepSpeed, Horovod or PyTorch FSDP.Hands-on experience optimising models ...

their work without line-managing them Experience with a modern cloud data stack, ideally Snowflake (Snowpark, Cortex) and dbt Practical ML Ops experience, e.g. MLflow or similar, Git, CI/CD, containerisation, automated retraining and monitoring Experience with LLM and GenAI tools, both for your own development workflow ...

observability (Ganglia, Prometheus, or Datadog). Understanding of serverless Databricks clusters. Familiarity with Terraform and infrastructure as code for Databricks resource management. Exposure to MLflow and model-serving pipelines for end-to-end performance optimization. Experience with Unity Catalog and fine-grained governance controls. Qualifications Bachelor's or Master ...

work independently, navigate ambiguity, resolve blockers, and deliver results with a strong sense of urgency It’s a bonus if you have Experience with MLFlow/model versioning, SageMaker Pipelines, or Databricks Familiarity with real-time, high-volume data products and low-latency data stores (e.g. DynamoDB) Automated testing ...

work independently, navigate ambiguity, resolve blockers, and deliver results with a strong sense of urgency It’s a bonus if you have Experience with MLFlow/model versioning, SageMaker Pipelines, or Databricks Familiarity with real‐time, high‐volume data products and low‐latency data stores (e.g. DynamoDB) Automated testing ...

Experience with Spark, agile delivery methods and CI/CD practices Familiarity with DevOps and MLOps tools and practices, such as Docker, Terraform and MLFlow Confidence influencing and communicating with stakeholders across technical and non-technical teams Ideally, exposure to cloud infrastructure, NLP or large language models (such as fine ...

version control. Experience with AI assisted tooling Hands-on experience taking machine learning models into production and supporting them once live. Experience with MLflow or similar model lifecycle tooling, including deploying models for batch and/or near real-time use cases. Experience building or working with CI/ ...

analytics applications. Experience with A/B testing and experimentation frameworks for AI features. Experience with model observability tools (e.g., LangSmith, W&B, MLflow). Our Commitment to Diversity, Equity, Inclusionand Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB ...

functional teams to align data architecture with financial regulations (e.g., GDPR, Basel III, MiFID II). Drive adoption of Delta Lake , Apache Spark , and MLflow for advanced analytics and machine learning use cases. Provide technical leadership and mentoring to data engineers and analysts across financial domains such as risk, trading ...

Programming skills in Python, SQL, or ScalaProficiency in data modelling, ETL/ELT processes, and data architectureExperience in MS Copilot, AI Foundry , Databricks (MosiacAI, MLflow, Agentbricks, Genie)Strong analytical background with problem-solving skillsPerformance tuning concepts like watermarking, late data handling, parallelism & checkpointingHands-on expertise in ADF, and Qlik Replicate ...

Capabilities, and Skills: Experience with agent frameworks (e.g., Google ADK, LangGraph) and agent protocols such as MCP, A2A, or AG-UI Experience with Databricks, MLflow, and Delta Lake or Apache Iceberg Exposure to model serving on Kubernetes and to model monitoring (drift, latency, accuracy) Familiarity with CRM platforms such ...

experimentation and continuous learning. Mentor junior data scientists and contribute to knowledge sharing across the team. Technical Stack Core: Databricks Power BI REST APIs MLflow Hugging Face Transformers Microsoft Fabric Docker CI/CD with Azure DevOps Power Automate integration for AI workflows What You'll Bring Hands‐on experience ...

deployment Familiarity with MLOps concepts (CI/CD pipelines, model registries, automated testing) — awareness required, not hands‐on ownership Experience with ML lifecycle tooling — MLflow, Azure ML, or equivalent Python proficiency — able to read and review analytical code, contribute where needed Consulting or forward‐deployed engineering background (Palantir, QuantumBlack ...

Have a good grasp of IaC (Infrastructure-as-code) tools like Terraform or CloudFormation. Previous exposure to additional technologies like Seldon, KServe, RayServe, Kubernetes, MLFlow, Sagemaker, Kubeflow, Anyscale, Valohai, ArgoCD, Docker, Python, Java, Ray, Spark, Pandas, Argo Workflow, Postgres, Snowflake and BigQuery is highly desirable. Good to have: previous knowledge ...

Demonstrate familiarity with Markets Operations processes such as trade lifecycle, post-trade operations, reconciliations, controls, or exception management Use AWS and tools such as MLflow Develop front-end capabilities with React or modern front-end development Apply graph database modeling concepts Why Join Us? Your contributions will help redefine what ...

Demonstrate familiarity with Markets Operations processes such as trade lifecycle, post-trade operations, reconciliations, controls, or exception management Use AWS and tools such as MLflow Develop front-end capabilities with React or modern front-end development Apply graph database modeling concepts Why Join Us? Your contributions will help redefine what ...

training, large-scale data loading or high-performance computing environments. Experience supporting research-to-production ML workflows. Experience with monitoring, observability, model versioning or MLflow-like tooling. A comprehensive benefits package that includesan annual bonus plan,private medical insurance, life insurance, and acontributory pension scheme 25 days annual leave,plus ...

testing and experimentation frameworks for AI features Contributions to open‐source ML projects or research publications Experience with model observability tools (LangSmith, W&B;, MLflow) Our Commitment to Diversity, Equity, Inclusionand Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB ...

testing and experimentation frameworks for AI features Contributions to open‐source ML projects or research publications Experience with model observability tools (LangSmith, W& B;, MLflow) Our Commitment to Diversity, Equity, Inclusionand Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB ...

Streaming) Data products, mesh or federated ownership models applied on a real programme, not just in theory ML and AI platform work: feature stores, MLflow, model serving, and the data foundations behind RAG or agentic use cases Regulated-sector exposure financial services, healthcare, public sector and the assurance that comes ...

Streaming) Data products, mesh or federated ownership models applied on a real programme, not just in theory ML and AI platform work: feature stores, MLflow, model serving, and the data foundations behind RAG or agentic use cases Regulated-sector exposure — financial services, healthcare, public sector — and the assurance that comes ...

strong track record of building AI solutions that solve real business problems and of taking them from prototype to production. Practical experience with Databricks, MLflow and Spark based data processing. Working knowledge of responsible AI methods, including bias and fairness testing, explainability techniques, and model risk. The ability to explain ...

deployments Strong Python (pandas, scikit-learn, PyTorch) and SQL Solid grounding in statistics, experimentation and causal inference Experience with at least one MLOps stack (MLflow, SageMaker, Vertex) Nice to have Published research or Kaggle competition experience Domain depth in financial services, retail or healthcare Send your CV and a short ...