22 of 22 Remote/Hybrid MLflow Jobs in London

TensorFlow Scikit-learn XGBoost Experience deploying ML solutions on AWS, including services such as SageMaker, Lambda, and S3. Strong understanding of MLOps tooling, including MLflow, Weights & Biases, or Data Version Control (DVC). Experience developing LLM or Generative AI applications, including RAG architectures and prompt engineering. Knowledge of LLMOps frameworks ...

proposalsCandidates should have strong experience in AI Engineering, MLOps and cloud-native AI platforms, alongside hands-on knowledge of technologies such as LangChain, LlamaIndex, MLflow, Kubernetes, Docker and CI/CD tooling.Applicants will ideally demonstrate: Experience working in a major Consulting firm, and/or in industry A strong consulting ...

Candidates should have strong experience in AI Engineering, MLOps and cloud-native AI platforms, alongside hands-on knowledge of technologies such as LangChain, LlamaIndex, MLflow, Kubernetes, Docker and CI/CD tooling. Applicants will ideally demonstrate: * Experience working in a major Consulting firm, and/or in industry * A strong ...

existing systemsExperience with cloud providers (e.g., AWS, Azure, Google Cloud Platform)Experience testing ML services in production environmentsKnowledge of experiment tracking tools (e.g., Comet, MLflow, Weights & Biases)The Ideal CandidateYou demonstrate initiative to provide solutions and to learn and develop new technologiesComfortable building QA systems from scratch and writing maintainable ...

with a focus on reproducibility, dataset versioning, and efficient access Working knowledge of cloud platforms (AWS, GCP, or Azure) and modern MLOps tooling (e.g. MLflow, Weights & Biases, DVC, Airflow) Strong experience with Python and associated scientific software packages such as PyTorch, OpenCV, Pandas, SciPy, NumPy, SciKit-learn, etc. Strong software ...

Azure OpenAI, AI Foundry or AI Search, with Docker and KubernetesUnderstanding of schema validation frameworks (e.g., JSON Schema, Pydantic) and MLOps tools such as MLflow or AirflowStrong communication ability to explain trade-offs around cost, latency and accuracy to technical and non-technical audiencesNice to haveExperience using Azure AI Foundry ...

integration/fine-tuning (OpenAI, LLaMA, Cohere, etc.)Strong coding in Python and experience with frameworks/tools such as FastAPI, PyTorch/TensorFlow, MLflow;3-5+ years of experience in designing and developing scalable web applications using modern front-end frameworks such as React/TypeScript. Experience working ...

.Advanced degree or certification in NLP, ML, or related fields.Familiarity with DevOps practices and tools.Hands-on experience with experimentation and model tracking tools (e.g., MLFlow, Weights & Biases).Demonstrable impact of technical solutions or projects on decision-makingExperience working in fast-paced, agile environments.Customer-facing experience, notably in understanding end user ...

analytical programming and visualisation languages and libraries (SQL, python, matplotlib, etc.) as well as some of the supporting tools and platforms (e.g. git, MLFlow, Kubernetes, Kubeflow, Trino, AirFlow).A strong understanding of statistical concepts (hypothesis testing, sampling, probability distributions).Excellent communication and collaboration skills to effectively bridge the gap between ...

Distributed Training infrastructure (Multi-node GPU training, Kubernetes, vLLM).Familiarity with Deep Learning frameworks (PyTorch).Experience with MLOps tools and experiment tracking (e.g., ClearML, MLFlow, Weights & Biases).Research Fluency: Ability to read technical research papers and translate them into engineering requirements. You don't need to write the paper ...

real-time deployment experience is a must. Technically proficient: You possess strong Python skills and a proven aptitude for experimentation tools like MLflow or DBX for A/B testing. Pragmatic and collaborative: You enjoy working in a bridge role, sharing expertise to help others deliver faster. Informed and refreshing ...

real-time deployment experience is a must. Technically proficient: You possess strong Python skills and a proven aptitude for experimentation tools like MLflow or DBX for A/B testing. Pragmatic and collaborative: You enjoy working in a bridge role, sharing expertise to help others deliver faster. Informed and refreshing ...

/FEA workflows generate and consume data Experience building model serving infrastructure with latency and throughput requirements Familiarity with experiment tracking tools (Weights & Biases, MLflow) and observability stacks (Prometheus, Grafana) What we offer Build what actually matters Help shape an AI-native engineering company at a formative stage, tackling problems ...

product engineering—from architectural design and prototyping to CI/CD-enabled deployment—using modern platforms and tools such as Azure ML, Databricks, MLflow, LangChain and LangGraph. Champion automation, testing, and observability across pipelines.· Operational Excellence: Define reusable development patterns, enforce coding standards, and promote MLOps best practices that support … e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers).· Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, LangGraph.· Proven experience with modern engineering practices Git, version control, unit testing and containerisation.· Familiarity with agile work methodologies and tools like Jira ...

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 ...

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 ...

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 ...

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/ ...

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 ...

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 ...

journeys and offer issues Design and evaluate A/B tests Translate business problems into scalable ML solutions Tech stack: Python, SQL, Databricks, dbt, MLflow Requirements 5+ years' commercial Data Science experience Strong Python and SQL skills Experience with customer, marketing, ecommerce or loyalty data Background in retention, CLV, recommendations … experimentation Excellent stakeholder management Databricks, dbt or MLflow exposure is beneficial Why Join? Up to £90,000 + 7% bonus Hybrid working (2 days/week) High commercial ownership and visibility Dedicated MLOps support Opportunity to shape strategy through machine learning If you're looking for a role where your ...