1 to 25 of 52 MLflow Jobs in the UK excluding London

Studio, OpenAI, AKS), GCP (Vertex AI, Cloud Run), AWS (Bedrock, SageMaker)* Experience building and automating AI/ML pipelines using tools such as MLflow, Kubeflow, Azure ML, Vertex Pipelines, Airflow or Google ADK* Hands-on experience with Generative and Agentic AI frameworks such as LangChain, LlamaIndex, CrewAI, Autogen, Google ...

Studio, OpenAI, AKS), GCP (Vertex AI, Cloud Run), AWS (Bedrock, SageMaker) Experience building and automating AI/ML pipelines using tools such as MLflow, Kubeflow, Azure ML, Vertex Pipelines, Airflow or Google ADK Hands-on experience with Generative and Agentic AI frameworks such as LangChain, LlamaIndex, CrewAI, Autogen, Google ...

approaches tooling, methodology, and model governance. Technical Environment Languages/Tools: Python (NumPy, Pandas, Scikit learn), deep learning frameworks (PyTorch/TensorFlow), SQL. MLOps: MLflow, cloud ML platforms (Azure ML, AWS SageMaker, or Databricks). Focus areas: Predictive modelling, recommender systems/personalisation, and increasingly, applied LLM/GenAI ...

experience in Artificial Intelligence, Software Engineering, Data Science or a related discipline. Eligible to obtain UK Security Clearance (SC). DESIRABLE SKILLS: Experience with MLflow, Weights & Biases or similar experiment-tracking tools. Experience with Spark or large-scale data processing platforms. Knowledge of ONNX, TorchScript, FastAPI or gRPC. Experience deploying ...

equivalent experience in Artificial Intelligence, SoftwareEngineering, Data Science or a related discipline.• Eligible to obtain UK Security Clearance (SC).DESIRABLE SKILLS:• Experience with MLflow, Weights & Biases or similar experiment-tracking tools.• Experience with Spark or large-scale data processing platforms.• Knowledge of ONNX, TorchScript, FastAPI or gRPC.• Experience deploying ...

Science, Machine Learning, or related field Nice to Have Published research in top ML venues (NeurIPS, ICML, ACL, CVPR). Experience with MLOps tools: MLflow, Weights & Biases, DVC. Familiarity with distributed training frameworks (DeepSpeed, Horovod). Experience with LLM fine-tuning and prompt engineering. Contributions to open-source ML projects. ...

SageMaker, Azure ML or Vertex AI. Experience with CI/CD and MLOps tooling such as GitLab CI, GitHub Actions, Jenkins, Kubeflow or MLflow . Exposure to accelerating Python or machine learning workloads using technologies such as Numba or Triton . Understanding of GPU-based machine learning infrastructure and performance ...

model risk reviews, security assessments, and secure deployment practices across client environmentsStand up MLOps practices – experiment tracking, model versioning, evaluation, and monitoring (e.g. MLflow, Weights & Biases) Monitor deployed models and pipelines for drift, degradation, data issues, and cost, and iterate to improve them Containerise and deploy workloads with Docker … this role at present Desirable (Nice to Have) Experience with streaming and big‐data tooling – Apache Kafka, Spark, or Flink Experience with MLOps platforms – MLflow, Kubeflow, Vertex AI, SageMaker, or Weights & Biases Experience evaluating and optimising RAG systems at scale (retrieval quality, chunking, re‐ranking) Experience designing multi‐agent systems ...

deliver high-quality scalable data solutions. Technical Expertise Deep expertise with the Databricks platform (Spark/PySpark/Scala, Delta Lake, Unity Catalog, MLflow). Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent. Strong SQL and Python (or equivalent language) skills for data manipulation ...

engineers to deliver high-quality scalable data solutions.Technical Expertise• Deep expertise with the Databricks platform (Spark/PySpark/Scala, Delta Lake, Unity Catalog, MLflow).• Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent.• Strong SQL and Python (or equivalent language) skills for data manipulation ...

working with software engineering practices such as version control, testing, code review and CI/CD.Working with MLOps or workflow tools such as MLflow, Kubeflow, Argo or equivalent frameworks.Scaling models or analytical services for enterprise or operational use.Applying statistical methods, model evaluation techniques and uncertainty analysis.Understanding responsible AI, including fairness ...

working with software engineering practices such as version control, testing, code review and CI/CD.Working with MLOps or workflow tools such as MLflow, Kubeflow, Argo or equivalent frameworks.Scaling models or analytical services for enterprise or operational use.Applying statistical methods, model evaluation techniques and uncertainty analysis.Understanding responsible AI, including fairness ...

LangChain, LangGraph and AutoGen. Delivering production-ready GenAI applications for commercial teams within Trading & Supply. Building scalable AI workflows on Databricks using Mosaic AI, MLflow, Genie and AgentBricks. Applying DevOps best practices through CI/CD pipelines, GitHub workflows and automated testing. Designing evaluation frameworks to benchmark, test and improve ...

agile delivery practices including CI/CD, Application Resiliency, and Security. Preferred qualifications, capabilities, and skills Production experience with Databricks (Delta Lake, Unity Catalog, MLflow, Databricks Jobs) and workflow orchestration with Apache Airflow. Strong working knowledge of both supervised and unsupervised techniques, including tree-based and kernel methods (gradient boosting ...

Experience with: Databricks Workflows Jobs orchestration Notebooks Repos Cluster management Unity Catalog Preferred Skills Databricks Certified DataEngineer Professional/Databricks Certified Architect. Experience with: MLflow Databricks Machine Learning Feature Store Model deployment MLOps Knowledge of streamingtechnologies: Structured Streaming Kafka Experience with datagovernance, compliance,and enterprise securityframeworks. Key Competencies Strong Databricks ...

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 ...

APIs, or cloud-native application deployment Experience with infrastructure as code, automated testing, observability, logging, or platform monitoring Awareness of MLOps concepts such as MLflow, model registry, model promotion, model monitoring, and governed deployment pipelines Exposure to machine learning workflows or data science environments, with an interest in developing into ...

responsible AI practices are maintained. Experience Proven experience designing and delivering data and AI platforms using Databricks. Strong knowledge of Databricks Lakehouse, Unity Catalog, MLflow, and AI workloads. Experience developing GenAI solutions such as RAG, embeddings, and LLM integration. Experience designing agentic workflows and orchestration patterns. Strong understanding of Azure ...

understanding of agile delivery practices including CI/CD, Application Resiliency, and Security.Preferred qualifications, capabilities, and skillsProduction experience with Databricks (Delta Lake, Unity Catalog, MLflow, Databricks Jobs) and workflow orchestration with Apache Airflow.Experience with evaluation frameworks and approaches (golden datasets, LLM-as-judge, human-in-the-loop review, red teaming ...

latest Databricks innovations and bringing fresh thinking to clients What We're Looking For You will likely have: Lakehouse Architecture Unity Catalog Spark MLflow Strong Python and SQL skills Experience building ETL/ELT pipelines, data lakes and modern analytics platforms Cloud expertise (any of the following: Azure ...

learning solutions in a data-rich commercial environment. Experience supporting operational, financial, customer or commercial decision-making through data and AI. Exposure to MLOps, MLflow or model lifecycle management. Experience with Microsoft Azure, Fabric or AI technologies. Job Offer Lead AI/ML Engineer Competitive salary ...

models through CI/CD pipelines Advanced proficiency in Python (pandas, scikit-learn, PySpark) and SQL. Demonstrable experience with ML lifecycle tooling such as MLflow and Databricks. Strong understanding of testing, version control, containerisation, and monitoring. A degree, PHD or post-doc experience in a quantitative discipline such as statistics ...

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 ...

Natural Language Processing and Computer Vision Strong grasp of basic probability concepts and machine learning lifecycle Experience with workflow and pipelining frameworks (e.g., Kubeflow, MLFlow, Argo) Understanding and application of Ethical AI considerations KEY SKILLS: Data Scientist/Data Science/AWS/Azure/Machine Learning/NLP/ ...

Natural Language Processing and Computer Vision Strong grasp of basic probability concepts and machine learning lifecycle Experience with workflow and pipelining frameworks (e.g., Kubeflow, MLFlow, Argo) Understanding and application of Ethical AI considerations Ready to take your career to the next level? Apply today and be part of something extraordinary ...