76 to 100 of 153 MLflow Jobs in England

/B testing and experimentation frameworks for AI featuresContributions to open-source ML projects or research publicationsExperience with model observability tools (LangSmith, W&B;, MLflow)Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. ...

testing and experimentation frameworks for AI features Contributions to open‐source ML projects or research publications Experience with model observability tools (LangSmith, W& B;, MLflow) Our Commitment to Diversity, Equity, Inclusionand Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB ...

these platformsDemonstrable experience designing and building MCP servers, defining tools and resources, and managing server lifecycleNice-to-haveHands-on experience with Databricks Model Serving, MLflow, or equivalent model registry and serving infrastructureFamiliarity with agentic application frameworks like LangChain, LlamaIndex, or AutoGen, and how they interact with MCP serversExperience working ...

Know: Salary: Up to £80,000 per annum Team: Work with cross-functional teams and mentor junior engineers Tools: Microsoft Fabric, Azure ML, MLflow, Spark, Python, SQL, CI/CD, and ML frameworks like TensorFlow, PyTorch, Scikit-learn Scope: End-to-end AI/ML solutions for multi-product, multi … scalable data pipelines and architectures for AI/ML Familiarity with Microsoft Fabric (Data Engineering, Data Science, Real-Time Analytics) and Azure ML, including MLflow Proficiency with tools such as Apache Spark, Azure Data Factory, GIT, Python and SQL Skilled in developing, training and deploying machine learning models with frameworks ...

with CI/CD, databases, infra-as-code Comfortable debugging production systems Nice to Have Security/compliance (SOC2, HIPAA) Exposure to AirFlow and MLFlow for scientific workflows MSC/PHD in Machine Learning Biotech/pharma experience Why Helical Live with top pharma High ownership, small team Work ...

statistics, machine learning, and mathematical modelling. Experience designing evaluation frameworks for AI systems, including model performance and monitoring. Hands-on experience with Databricks, MLflow, Spark, or similar cloud-based data platforms. Knowledge of responsible AI, model governance, and explainability. Strong communication skills with the ability to explain complex technical concepts ...

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 ...

Gemini, Claude and OpenAI APIs. Hands‐on experience with AI tools/frameworks (e.g., Braintrust, AutoEval) and/or MLOps tools (e.g., Airflow, MLflow, Vertex AI, or similar). Solid understanding of data engineering practices, including ETL, batch/streaming pipelines, and data quality monitoring. Familiarity with cloud infrastructure ...

diverse data sources. Excellent communication skills, with the ability to present complex ideas in a clear, non-technical manner. Desirable Experience: Knowledge of PyTorch, MLflow, DBT, and Databricks AI functions is a plus! About Us: Join a dynamic organisation that values human connection and places customers at the heart ...

training, large-scale data loading or high-performance computing environments. Experience supporting research-to-production ML workflows. Experience with monitoring, observability, model versioning or MLflow-like tooling. A comprehensive benefits package that includesan annual bonus plan,private medical insurance, life insurance, and acontributory pension scheme 25 days annual leave,plus ...

training, large-scale data loading or high-performance computing environments. Experience supporting research-to-production ML workflows. Experience with monitoring, observability, model versioning or MLflow-like tooling. A comprehensive benefits package that includesan annual bonus plan,private medical insurance, life insurance, and acontributory pension scheme 25 days annual leave,plus ...

systems at scale, including model lifecycle security, data pipelines, and secure deployment. Strong hands‐on experience with machine learning stacks, such as PyTorch, TensorFlow, MLflow, Kubeflow, or equivalent managed platforms (e.g. Vertex AI, Azure ML). Solid understanding of cloud‐native and containerised architectures, including Kubernetes and serverless technologies. Experience ...

deployment Familiarity with MLOps concepts (CI/CD pipelines, model registries, automated testing) awareness required, not hands-on ownership Experience with ML lifecycle tooling MLflow, Azure ML, or equivalent Python proficiency able to read and review analytical code, contribute where needed Consulting or forward-deployed engineering background (Palantir, QuantumBlack ...

that our Data Scientists use (we don't expect applicants to have experience with all of these):Python and Databricks for Data Science, Spark, MLFlow and Airflow for ML Workflows, Google Cloud Platform for our analytics infrastructure, dbt and BigQuery for data modelling and warehousing.Discover more about our Analytics Community ...

systems at scale, including model lifecycle security, data pipelines, and secure deployment.Strong hands‐on experience with machine learning stacks, such as PyTorch, TensorFlow, MLflow, Kubeflow, or equivalent managed platforms (e.g. Vertex AI, Azure ML).Solid understanding of cloud‐native and containerised architectures, including Kubernetes and serverless technologies.Experience operating in complex ...

systems at scale, including model lifecycle security, data pipelines, and secure deployment.Strong hands‐on experience with machine learning stacks, such as PyTorch, TensorFlow, MLflow, Kubeflow, or equivalent managed platforms (e.g. Vertex AI, Azure ML).Solid understanding of cloud‐native and containerised architectures, including Kubernetes and serverless technologies.Experience operating in complex ...

systems at scale, including model lifecycle security, data pipelines, and secure deployment.Strong hands‐on experience with machine learning stacks, such as PyTorch, TensorFlow, MLflow, Kubeflow, or equivalent managed platforms (e.g. Vertex AI, Azure ML).Solid understanding of cloud‐native and containerised architectures, including Kubernetes and serverless technologies.Experience operating in complex ...

systems at scale, including model lifecycle security, data pipelines, and secure deployment.Strong hands‐on experience with machine learning stacks, such as PyTorch, TensorFlow, MLflow, Kubeflow, or equivalent managed platforms (e.g. Vertex AI, Azure ML).Solid understanding of cloud‐native and containerised architectures, including Kubernetes and serverless technologies.Experience operating in complex ...

systems at scale, including model lifecycle security, data pipelines, and secure deployment. Strong hands-on experience with machine learning stacks, such as PyTorch, TensorFlow, MLflow, Kubeflow, or equivalent managed platforms (e.g. Vertex AI, Azure ML). Solid understanding of cloud-native and containerised architectures, including Kubernetes and serverless technologies. Experience ...

testing and experimentation frameworks for AI features Contributions to open-source ML projects or research publications Experience with model observability tools (LangSmith, W&B;, MLflow) DEIB Our Commitment to Diversity, Equity, Inclusionand Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. ...

pipelines and cloud environments (we use Azure) Strong communication skills and a collaborative mindset Preferred SkillsExperience with model versioning and experiment tracking (e.g. MLflow, Weights & Biases) Understanding of optimizing both CPU-bound and GPU-bound workloadsKnowledge of monitoring and observability tools (e.g. Prometheus, Grafana, ELK stack) Background in optimization, reinforcement ...

iOS. Data: SQL, Python, Snowflake, dbt, Airflow & Looker AI at Marshmallow: Sierra.ai for conversational AI, Python and LangChain for agentic AI solutions, Sagemaker and MLflow for Machine Learning, Cursor and Claude Code for developer productivity. What you'll be doing Drive commercial impact at every turn: Proactively identify and prioritise ...

outputs.A strong track record of building AI solutions that solve real business problems and of taking them from prototype to production.Practical experience with Databricks, MLflow and Spark based data processing.Working knowledge of responsible AI methods, including bias and fairness testing, explainability techniques, and model risk.The ability to explain complex technical ...

strong track record of building AI solutions that solve real business problems and of taking them from prototype to production. Practical experience with Databricks, MLflow and Spark based data processing. Working knowledge of responsible AI methods, including bias and fairness testing, explainability techniques, and model risk. The ability to explain ...

similar enterprise planning platforms Experience with A/B testing and experimentation frameworks for AI features Experience with model observability tools (LangSmith, W&B, MLflow) Our Commitment to Diversity, Equity, Inclusionand Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB ...