1 to 25 of 134 MLflow Jobs in the UK

computing (e.g. Spark, Databricks, Hadoop or cloud-native alternatives).Experience with containerisation and DevOps/MLOps tools (e.g. Docker, Kubernetes, Git, CI/CD, MLflow, Airflow).Strong experience with data engineering concepts (ETL/ELT, data integration, warehousing, vector databases/search)A little bit more about us...We believe ...

Bedrock, or Google Vertex AI [Preferred]). Knowledge of SQL and advanced data modeling for structured and unstructured data. Familiarity with MLOps tools (MLflow, Kubeflow) and containerization (Docker, Kubernetes). Experience working in an Agile/Scrum development environment. Knowledge of AI security frameworks and responsible AI practices (e.g., OWASP ...

DeepSpeed, Megatron-LM, or equivalent multi-node training frameworks.Inference & serving: NVIDIA Triton, vLLM, TensorRT-LLM, or equivalent high-throughput serving platforms.MLOps/LLMOps: Kubeflow, MLflow, and at least one hyperscaler ML platform (SageMaker, Azure ML, or Vertex AI).Generative AI: LLM fine-tuning (LoRA/QLoRA), RAG architecture design, vector ...

Python and experience with core data science and ML libraries (e.g., scikit-learn, pandas, PyTorch or TensorFlow). Practical experience with Databricks, including MLflow for experiment tracking and model management, and Spark-based data processing. Familiarity with Generative AI concepts and tooling, including working with LLMs, prompt engineering, RAG patterns ...

Python and experience with core data science and ML libraries (e.g., scikit-learn, pandas, PyTorch or TensorFlow). Practical experience with Databricks, including MLflow for experiment tracking and model management, and Spark-based data processing. Familiarity with Generative AI concepts and tooling, including working with LLMs, prompt engineering, RAG patterns ...

equivalent multi-node training frameworks. Inference & serving: NVIDIA Triton, vLLM, TensorRT-LLM, or equivalent high-throughput serving platforms. MLOps/LLMOps: Kubeflow, MLflow, and at least one hyperscaler ML platform (SageMaker, Azure ML, or Vertex AI). Generative AI: LLM fine-tuning (LoRA/QLoRA), RAG architecture design, vector databases ...

experience with AI/ML frameworks (e.g., TensorFlow, PyTorch), and experience with MLOps frameworks/tools (e.g. Sagemaker pipelines, Azure ML Studio, VertexAI, Kubeflow, MLFlow, Seldon, EvidentlyAI)What we offerCulture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently ...

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 ...

security certifications Experience deploying ML models into production environments Experience with Kubernetes, OpenShift, or cloud-native deployment architectures Experience with MLOps tooling (e.g. MLflow, Kubeflow, model monitoring platforms) Experience applying DevSecOps practices within cloud or controlled environments Exposure to large language models or generative AI systems Experience with data engineering ...

Search, Cortex Agents, Snowpark or Snowflake-native governance features. Experience with Databricks AI capabilities such as Mosaic AI, Genie, AI/BI, Vector Search, MLflow, Unity Catalog, Model Serving or agent-related features. Experience with Microsoft Fabric capabilities such as Copilot in Fabric, Data Factory, Data Engineering, Data Science, Power ...

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. ...

/CD for ML, including automated data validation, model testing, and deployment. Implement ML Engineering solutions using popular MLOps platforms such as AWS Sagemaker , MLflow, Azure ML. End-end custom Sagemaker pipelines for recommendation systemsDesign and implement the engineering components of GAR+RAG systems (e.g., query interpretation and reflection, chunking, embeddings ...

project for a Leading Energy Company. Responsibilities: Build and evaluate GenAI/Agentic AI prototypes (Copilot Studio, Azure AI Foundry, Databricks Mosaic AI, Genie, MLflow) Design and tune RAG systems — embeddings, prompt engineering, evaluation Build AI agents using LangChain, LangGraph, AutoGen, and similar frameworks Deploy models via Azure OpenAI, Azure ...

containerisation/orchestration (Docker, Kubernetes). Strong understanding of data modelling, storage systems, and streaming/processing architectures. Familiarity with ML tooling such as MLflow, ZenML, or Metaflow. Familiarity with ML model lifecycle management (training, deployment, monitoring). Excellent collaboration and communication skills, with the ability to work cross‐functionally. ...

/ML pipelines from data preparation through to production. Working with technical and business stakeholders to deliver AI solutions. Desirable experience includes MLflow, MCP, Docker, Kubernetes, GitLab CI/CD and Azure Data Factory. What’s on offer Up to £82,000 salary Annual performance bonus 28 days' holiday plus ...

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 ...

communication and interpersonal skills Preferred qualifications: Experience in the gaming or entertainment industry Experience working with tools and technologies such as Spark, Snowflake, Qwak, MLFlow, Airflow, etc Contributions to open‐source AI/ML projects or participation in AI/ML competitions (e.g., Kaggle) Experience with training and fine‐tuning ...

communication and interpersonal skills Preferred qualifications: Experience in the gaming or entertainment industry Experience working with tools and technologies such as Spark, Snowflake, Qwak, MLFlow, Airflow, etc Contributions to open‐source AI/ML projects or participation in AI/ML competitions (e.g., Kaggle) Experience with training and fine‐tuning ...

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

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

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 ...

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 ...

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 ...