26 to 50 of 52 MLflow Jobs in England

batch data extraction processes, particularly those built in Python and orchestrated using Airflow Understanding of machine learning tooling and lifecycle management, ideally including DVC, MLflow, Evidently AI, or equivalent platforms for experiment tracking, versioning, monitoring, and evaluation Ability to work effectively across a data ecosystem that uses a range ...

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) DEIB Our Commitment to Diversity, Equity, Inclusionand Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. ...

Experience with Python-based data and ML tooling, e.g. Pandas, NumPy and scikit-learn Experience with ML tooling within Microsoft Fabric or Azure, e.g. MLflow, notebooks, SynapseML or equivalent Ability to structure data for AI/ML use and integrate outputs into business processes Proven ability to assess, design ...

data engineers and platform teams to raise standards for CI/CD, experiment tracking, and model lineage. You’ll design scalable Databricks workflows, champion MLflow usage, implement secure, auditable promotion across environments and mentor the team to deliver business value at scale. #J-18808-Ljbffr ...

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 Senior Machine Learning Engineer (Python AWS) you will earn a competitive ...

engineering fundamentals - you build reliable, well‐tested, maintainable systems. Python, Kotlin/Java, SQL. Experience with ML orchestration (Airflow, Kubeflow, or equivalent), model registries (MLflow or similar), and container‐based deployment End‐to‐end understanding of the ML lifecycle - data ingestion through training, packaging, serving, and monitoring - and knowledge ...

Model optimisation/deployment tooling (ONNX, TensorRT) Edge deployment experience (e.g., NVIDIA Jetson or other resource-constrained devices) Familiarity with MLOps tooling (e.g., DVC, MLflow) Relevant open-source contributions in computer vision Interested? If this sounds like you, apply with your CV or get in touch to discuss the role ...

Job ID: FEQ227R117 Location: London, United Kingdom Industry: Professional Business Services (Consultancy, Legal, etc) At Databricks, our core values are at the heart of everything we do. A culture of proactiveness and a customer‐centric ...

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 ...

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 ...

context, including orchestration patterns, tool use, memory management, and agent reliability at scale Familiarity with one of the major AI ecosystems, such as LangSmith, MLflow, or Databricks ML Having navigated a transition from a scrappy, point-to-point AI integration to a well-engineered, reusable AI platform. An understanding ...

platform teams, you’ll define and evolve standards for CI/CD, experiment tracking, model lineage and controlled promotion across environments. Using Databricks, MLflow and Azure ML, you’ll help create scalable, well-governed pipelines that are reproducible, traceable and auditable. You’ll also embed model risk management into delivery … deliver sustainable business value at scale. More About the role: Design and evolve scalable, production-grade ML workflows on Databricks. Lead effective use of MLflow for experiment tracking, model versioning, lineage and lifecycle management. Build reusable CI/CD patterns for model training, validation, promotion and inference. Champion strong engineering ...

AWS. What You’ll Do LLM Judge Ecosystem: build and scale Judge-as-a-Service, prompt registries, calibration pipelines, and evaluation orchestration using MLflow 3.x Fine-Tuning and Serving: develop LoRA/SFT/preference optimisation pipelines for health-domain models (Llama, Gemma, MedGemma) and manage model serving at scale … model serving Technical stack: strong Python across production services and data pipelines, data engineering fundamentals (Spark, Delta tables, Parquet) Platform and infrastructure: Databricks (MLflow, Unity Catalog, Model Serving), AWS (EKS/Kubernetes, IAM), Terraform, GitHub Actions Cross-domain flexibility: comfort working across ML, data engineering, and infrastructure. ...

Pre-sales Senior Technical Solutions Engineer (AI/ML - Digital Native Business) x2 London, United Kingdom Req ID: FEQ327R439 x 2 New roles Recruiter: Dina Hussain Location: London (or surrounding areas) At Databricks, our core ...

Location: London (or surrounding areas) You will be reporting to the Manager, Field Engineering. The impact you will have Form successful relationships with clients throughout your assigned territory to provide technical and business value in ...

pipelines: data ingest, training, evaluation, quantisation, and deployment onto custom AI accelerator hardware Build and maintain experiment tracking, model registry, and versioning infrastructure (e.g. MLflow, W&B, or equivalent) tuned to our hardware-in-the-loop workflows Own CI/CD for ML: automated testing of model correctness, numerical accuracy … experience building and operating ML pipelines in production: data pipelines, training orchestration, evaluation, and serving Experience with experiment tracking and model lifecycle management tools (MLflow, W&B, DVC, or similar) Solid understanding of containerisation (Docker) and orchestration (Kubernetes or Slurm) for distributed compute workloads Infrastructure-as-code mindset: Terraform, Ansible ...

large and complex datasets, both structured and unstructured Write clean, scalable Python code for model development and production use Use tools such as Databricks, MLflow and modern AI platforms to manage the full model lifecycle Translate technical outputs into clear, commercially relevant insights Engage directly with stakeholders to define problems … practical understanding of how to apply LLMs to real-world use cases Tools & Engineering Experience with model deployment and MLOps tools (e.g. Databricks, MLflow) Familiarity with version control (Git) and collaborative development practices Awareness of best practices in code quality and reproducibility Communication & Consulting Ability to explain complex technical concepts ...

Description Join us, be part of more. We're so much more than an energy company. We're a family of brands revolutionising how we power the planet. We're energisers. One team of 21 ...

REQ ID: FEQ227R147 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 ...

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 ...

Job Title: DevOps Engineer Location: Durrington, hybrid Contract Type: Permanent Hours: 37 per week Salary: from £50k About the role We're looking for a forward-thinking DevOps Engineer to play a key role in ...

Location: London (potential relocation to Dubai in 2027) Do you want to help solve the world’s toughest problems with Data and AI? That’s what we do every day at Databricks. Reporting to the ...

Do you want to help solve the world's toughest problems with big data and AI? This is what we do everyday at Databricks. We are looking for an Account Executive to join the team ...

RDQ127R176 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do ...

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 ...