101 to 125 of 134 MLflow Jobs in the UK

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 ...

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 Field Engineering organization. You will partner with Solution Architects to ...

ReqID: FEQ327R328 Recruiter: Kanwal Matharu Location: London, United Kingdom - Hybrid Skills: Data Science, Machine Learning, AI, LLM, GenAI As a Senior Specialist Solutions Engineer (SSE), ML Engineering, you will be the trusted technical ML expert ...

deep‐tech or complex engineering organisations. Familiarity with modern engineering and ML tooling and workflows, such as CI/CD pipelines, Jira or ClickUp, MLflow or Weights & Biases, and simulation or testing environments. Experience working in regulated, safety‐critical, or physically constrained systems where software interacts directly with hardware ...

onsite weekly Develop and evaluate AI/GenAI/AgenticAI prototypesusing tools like Copilot Studio, AI Foundry and Copilot Analyst Agent, MosiacAI, Genie, AgentBricks, MLflow with a focus on quick wins and enterpriseintegration. Build and tune Retrieval-Augmented Generation (RAG)systems, including embedding model selection, prompt engineering, and traceableevaluation. Design … Design and run evaluation and testing frameworks forGenAI systems, including benchmarking, reproducibility checks, and structuredmodel assessments Build solutions using Databricks infrastructure,Genie, MLflow (deployment and tracing and evaluations), LangChain, andLangGraph, and integrate them into scalable AI workflows and architectures Contribute to system planning, architectural design,and structured testing to ensure ...

plus; helping shape how we operate LLM-powered systems at scale (model gateways and routing with LiteLLM, experiment and model tracking with MLflow) would be a welcome bonus A FinOps mindset; you drive cost-awareness as an engineering discipline across teams, balancing spend against reliability and performance, and turn infrastructure ...

plus; helping shape how we operate LLM-powered systems at scale (model gateways and routing with LiteLLM, experiment and model tracking with MLflow) would be a welcome bonusA FinOps mindset; you drive cost-awareness as an engineering discipline across teams, balancing spend against reliability and performance, and turn infrastructure cost ...

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. ...

Location: London, United Kingdom - Hybrid Recruiter: Dina Hussain We’re hiring for multiple roles within our FDE team. As a Forward Deployed Engineer (FDE), you will work with customers to build and productionize solutions to ...

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 At Databricks, our core values are at the heart of everything we do; a culture of proactiveness and a customer-centric mindset guide us to build a unified platform that makes data science ...

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 ...

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

Delta Live Tables (DLT) Unity Catalog implementation and governance Databricks Workflows Databricks Asset Bundles (DABs) Databricks Solution Accelerators Metadata-Driven Ingestion and Orchestration Frameworks MLflow, Feature Store and MLOps Frameworks Azure Data Platform (ADLS, Azure Data Factory, Synapse, Databricks) Azure DevOps, CI/CD and Infrastructure as Code Enterprise Data … models and enterprise reporting environments Technical Environment Azure Databricks Delta Live Tables (DLT) Unity Catalog Databricks Asset Bundles (DABs) Databricks Workflows PySpark Spark SQL MLflow Mosaic AI Azure Data Factory Azure Synapse Azure Data Lake Storage Dynamics 365 Finance & Operations (D365 F&O) Azure DevOps Power BI Terraform CI/ ...

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 ...

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 ...

FEQ327R325 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 create a unified platform that makes data science ...

manual work and improve the user experience for researchers and ML teams.Enable and maintain integrations between AWS services and supporting technologies such as Databricks, MLflow, Jenkins, Bitbucket, OpenShift and related platforms.Act as the primary technical contact for stakeholders, translating business and research requirements into effective cloud and platform solutions.Create … science or MLOps platforms.Knowledge of CI/CD practices and tools used for software and machine learning delivery.Experience working with technologies such as Databricks, MLflow, Jenkins, Bitbucket, OpenShift or comparable platforms.Ability to troubleshoot complex technical issues and continuously improve platform reliability, performance and efficiency.Strong stakeholder management and communication skills, with ...

Skills and Requirements Strong Python/PyTorch and ML infrastructure experience Experience with distributed ML training using Ray, DeepSpeed or PyTorch Lightning Strong MLflow, model registry and ML lifecycle experience Experience with TensorRT, ONNX, quantisation and model deployment Strong Docker, CI/CD and GitHub Actions experience Experience with Prometheus … Infrastructure/ML Platform/AI Engineer/Machine Learning/ML/Python/PyTorch/Ray/DeepSpeed/PyTorch Lightning/MLflow/TensorRT/ONNX/Docker/Kubernetes/CI/CD/GitHub Actions/Prometheus/Grafana/Metaflow/Kafka/NVIDIA ...

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 ...

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 Databricks … 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.• Land ...

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 ...

Overview Req ID: FEQ126R19 Location: London Industry Sector: All verticals - Strategic Customers The Opportunity: Shaping The Future of Data & AI With Our Largest Customers Data & AI are the engine driving transformation across our customer base. ...