26 to 44 of 44 MLflow Jobs in the UK

Strong design and development skills using Python. Python's libraries for machine learning: PySpark, Pytorch, scikit-learn and pandas. Technical experience using Databricks and MLFlow (Other Platforms can be considered). Good understanding of software code review standards - CI/CD. Stochastic Simulation modelling experience. If you are interested ...

Strong design and development skills using Python. Python's libraries for machine learning: PySpark, Pytorch, scikit-learn and pandas. Technical experience using Databricks and MLFlow (Other Platforms can be considered). Good understanding of software code review standards - CI/CD. Stochastic Simulation modelling experience. If you are interested ...

library skills Hands-on experience with GenAI APIs and production deployments Knowledge of the full ML lifecycle and MLOps tools such as MLflow or SageMaker Strong communication skills and experience working with senior stakeholders A grounding in statistics and an agile, problem solving mindset Some Scala exposure is a bonus ...

feeds, trade lifecycle, and financial data models. Expertise with modern data technologies (ClickHouse, PostgreSQL, Kafka, or equivalents.). Experience implementing ML Ops frameworks (e.g. MLflow, Kubeflow, Prefect, or SageMaker) Deep understanding of ETL/ELT pipelines, streaming architectures, and data lifecycle management. Experience working in Kubernetes and cloud-native environments ...

Machine Learning Engineer Machine Learning Engineer - AI for Advanced Materials - Oxford (Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform) We're looking for a Machine Learning Engineer to join … Machine Learning Engineers with experience in some or all of the following (full training provided to fill any gaps): Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, Pandas, NumPy, SciPy, CI/CD, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform, Azure, AWS, GCP, Git, and Agile methodologies. Join ...

Machine Learning Engineer Machine Learning Engineer – AI for Advanced Materials – Oxford (Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform) We’re looking for a Machine Learning Engineer to join … Machine Learning Engineers with experience in some or all of the following (full training provided to fill any gaps): Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, Pandas, NumPy, SciPy, CI/CD, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform, Azure, AWS, GCP, Git, and Agile methodologies. Join ...

lifecycle, including data ingestion, model training, evaluation, deployment, and monitoring for both traditional and generative AI models. Develop standardized ML workflows and templates using MLflow and other platforms, enabling rapid experimentation and deployment cycles. Implement robust CI/CD pipelines, Docker containerization, model registries, and experiment tracking to support reproducibility … systems or platforms designed for machine learning and AI workloads. Expert-level proficiency in Python and familiarity with ML frameworks (TensorFlow, PyTorch), infrastructure tooling (MLflow, Kubeflow, Ray), and popular APIs (Hugging Face, OpenAI, LangChain). Experience implementing modern MLOps practices, including model lifecycle management, CI/CD, Docker, Kubernetes, model ...

LangChain, LangGraph, or custom). Create and maintain data pipelines (Airflow, dbt, Step Functions). Implement monitoring, observability, and automated retraining (CloudWatch, Prometheus, Grafana, MLflow). Embed strong security, compliance, and guardrail practices across all ML workflows. Mentor junior engineers and promote engineering best practices. Key Requirements Essential 3+ years … SageMaker, EKS/Fargate, Lambda, Step Functions, S3). Proficient with Docker, Kubernetes , and IaC (Terraform or AWS CDK). Experience with MLflow , CI/CD tools, and automated testing. Hands-on with LLM deployment and multi-agent systems . Proven experience building data pipelines and production ML workflows. Strong ...

business requirements into technical solutions. Optimize and deploy models using tools like TensorFlow Serving, TorchServe, ONNX, and TensorRT. Build and manage ML pipelines using MLflow, Kubeflow, and Azure ML Pipelines. Work with large-scale data using PySpark and integrate models into production environments. Monitor model performance and retrain as needed … learn XGBoost, LightGBM, CatBoost TensorFlow, Keras, PyTorch Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe Familiarity with ML lifecycle tools: MLflow, Kubeflow, Azure ML Pipelines Experience working with distributed data processing using PySpark. Solid understanding of software engineering principles and version control (e.g., Git). Excellent ...

Milvus, ChromaDB, pgVector) and embedding stores. UseAI-powered dev tools(GitHub Copilot, Cursor, Codeium, Aider, Windsurf) to accelerate iteration. ImplementLLMOps/PromptOpsusing: Weights & Biases,MLflow,LangSmith,LangFuse,PromptLayer,Humanloop,Helicone,Arize Phoenix Benchmark and evaluate LLM systems usingRagas,DeepEval and structured evaluation suites. Deployment & Infrastructure Containerize and deploy workloads withDocker … Gemini 2.x, Mistral Large, LLaMA 3, Cohere Command R+, DeepSeek Frameworks: LangChain, LlamaIndex, Haystack, AutoGen, CrewAI Tools: GitHub Copilot, Cursor, LangSmith, LangFuse, Weights & Biases, MLflow, Humanloop Cloud: Azure ML, AWS SageMaker, Google Vertex AI, Databricks, Modal Infra: Python, Docker, Kubernetes, SQL/NoSQL, PyTorch, FastAPI, Redis ...

base salary Hybrid working with three days in the London office Work with advanced AI platforms including Azure ML, Azure OpenAI, Databricks, MLflow and LangChain Global exposure and the opportunity to work with senior stakeholders across time zones A collaborative, supportive culture that encourages innovation and professional development What … environments Strong knowledge of Python, ML frameworks (PyTorch, TensorFlow), and cloud platforms (Azure preferred) Experience operationalising models using tools such as Azure ML, Databricks, MLflow Understanding of data engineering, data governance, and lakehouse architectures Excellent communication skills with the ability to simplify complex concepts for non-technical stakeholders A proactive ...

implementing ML testing strategies (e.g., data validation, model correctness, performance testing). Expertise in deploying ML models at scale on AWS, with experience using MLFlow or similar platforms. Strong Python programming skills and adherence to software engineering best practices (e.g., clean code, version control, code reviews). Expert-level … Experience with data quality monitoring tools and frameworks. Master’s or PhD in Computer Science, Data Science, or a related field. Relevant certifications (AWS, MLFlow, or other data science/ML certifications). What to Expect - Your Journey with Us Behind Cloudbeds' revolutionary technology is a team of redefining what ...

will: Build robust ML and MLOps pipelines for scalable, reproducible model development, deployment, and monitoring. Use tools such as Airflow for workflow orchestration and MLflow for experiment tracking, model registry, and lifecycle management. Work within an agile development environment and help prioritise high-value opportunities for rapid delivery. Essential Skills … skills Hands-on experience developing ML and/or deep learning models for scientific or engineering problems Experience with MLOps tools such as Airflow, MLflow, and containerisation (e.g., Docker) Strong data-visualisation and storytelling skills Interest in materials discovery, computer vision, big data, or optimisation Collaborative communicator, organised, proactive ...

prototyping, and implementing algorithms (AI or oth erwise)MLOps: A strong grasp of CI/CD for models, version control, monitoring, and retraining pipelines (MLflow, DVC, Weights & B iases).Cloud: Practical experience deploying AI solutions on AWSExperience with containerisation for deploying and scaling AI solutions (D ocker).Software engineering: Fundamental … knowledge of version control (e.g. Git), CI/CD, and t esting.Expertise in ML algorithms, model development, and lifecycle tools (MLflow, DVC, Weights & B iases).Able to translate stakeholder needs into innovative AI sol utions.Passion for staying current with the AI/ML research lan dscape. Why Join Us?Purpose ...

Role Title: Senior Databricks Engineer Duration: contract to run until 31/12/2026 Location: Glasgow, hybrid 2/3 days per week onsite Rate: up to £414 p/d Umbrella inside IR35 ...

GAQ226R156 Mission Databricks is hiring an experienced Staff Network Engineer to help grow and scale our campus Network infrastructure and zero trust framework, as the company continues its hyper-growth. You will be a key ...

GAQ226R156 Mission Databricks is hiring an experienced Staff Network Engineer to help grow and scale our campus Network infrastructure and zero trust framework, as the company continues its hyper-growth. You will be a key ...

CSQ127R306 At Databricks, we’re on a mission to help data and AI teams solve the world’s toughest problems and that starts with empowering our customers. The Customer Enablement team drives this mission forward ...

SLSQ426R443 Databricks operates at the leading edge of the Data Analytics space with a mission to help companies solve the world’s toughest problems. Reporting to the Sales Director for Greenfield EMEA, your mission will ...