51 to 75 of 134 MLflow Jobs in the UK

ability to write clear documentation and collaborate across engineering teams. Ecosystem Knowledge : Hands‐on experience supporting software delivery and MLOps tooling (e.g., Kubernetes, Kubeflow, MLflow, Triton, Docker, or SageMaker/Azure ML). Equal Opportunity Statement We are committed to fostering and promoting an inclusive professional environment ...

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 ...

DevOps technologies and practices such as Docker, Terraform, CI/CD pipelines and infrastructure‐as‐code. Familiarity with MLOps tools and practices such as MLflow, Airflow, model monitoring, API monitoring, data validation, data drift detection, autoscaling and access management. Strong Python experience, with helpful knowledge of Spark or PySpark ...

Experience with Spark, agile delivery methods and CI/CD practices Familiarity with DevOps and MLOps tools and practices, such as Docker, Terraform and MLFlow Confidence influencing and communicating with stakeholders across technical and non-technical teams Ideally, exposure to cloud infrastructure, NLP or large language models (such as fine ...

alongside DevOps technologies and practices such as Docker, Terraform, CI/CD pipelines and infrastructure-as-code.Familiarity with MLOps tools and practices such as MLflow, Airflow, model monitoring, API monitoring, data validation, data drift detection, autoscaling and access management.Strong Python experience, with helpful knowledge of Spark or PySpark for working ...

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 ...

services (Entra ID, Key Vault, monitoring)Experience with data governance and engineering enablement tooling (e.g., Microsoft Purview, Databricks Unity Catalog, GitLab CI/CD, MLflow/MLOps and emerging LLMOps patterns). ...

functional teams to align data architecture with financial regulations (e.g., GDPR, Basel III, MiFID II). Drive adoption of Delta Lake , Apache Spark , and MLflow for advanced analytics and machine learning use cases. Provide technical leadership and mentoring to data engineers and analysts across financial domains such as risk, trading ...

insurance, mobile data, or behaviour modelling.Experience with cloud platforms (AWS), containerisation (Docker, Kubernetes), or data orchestration frameworks.Familiarity with our ML and tooling stack: MLflow for experiment tracking, DVC for data versioning, Streamlit for internal apps and demos.BenefitsWhat it’s like to work at ZegoAt Zego, we operate like a high ...

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 ...

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 ...

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 ...

with the Hugging Face ecosystemExperience with audio or speech models and frameworks.Experience building and maintaining end-to-end ML pipelines and MLOps tooling (e.g. MLflow, Weights & Biases, DVC, or similar).Strong Python skills; experience with Docker, CI/CD, and cloud platforms (Azure preferred)Practical experience designing agentic AI systems ...

constraints. Nice to Have Experience with GPU cluster management and ML training workloads (NVIDIA, CUDA, distributed training). Familiarity with MLOps tooling: Experiment tracking (MLflow, Weights & Biases). Workflow orchestration (Airflow, Prefect, Argo). Data versioning (DVC). Background in scientific computing or HPC environments. Prior experience at a deep ...

both within engineering organizations and on cross‐functional teams Experience with OpenAPI, FastAPI, or similar It’s a bonus if you have Experience with MLFlow, model versioning, and storage Familiarity with Databricks or similar platforms Experience supporting high‐volume, real‐time data products Automated testing and validation frameworks Experience designing ...

batch data extraction processes, particularly those built in Python and orchestrated using Airflow Understanding of machine learning tooling and lifecycle management, ideally including DVC, MLflow, Evidently AI, or equivalent platforms for experiment tracking, versioning, monitoring, and evaluation Ability to work effectively across a data ecosystem that uses a range ...

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 ...

models in production Solid software engineering skills (Python, APIs, systems) Good understanding of MLOps stack (CI/CD, monitoring, pipelines) Familiarity with tools like MLflow, Airflow, Evidently, DVC, Docker, Kubernetes. Cloud experience (AWS/GCP/Azure) Some mentoring/leadership experience + desire to grow into management Nice ...

Processing (NLP) and Computer Vision techniques Strong understanding of probability concepts and the machine learning lifecycle Experience with workflow and pipelining frameworks (e.g., Kubeflow, MLFlow, Argo) Awareness and application of Ethical AI principles This role offers a unique opportunity to work on cutting-edge projects, expand your expertise, and contribute ...

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 ...

site in our Alkmaar office Nice to Have (But Not Required) Experience deploying ML models into production environments Familiarity with MLOps tooling such as MLflow, CI/CD workflows, and model monitoring Experience with AWS, Azure, or GCP Understanding of real‐time systems, motion synthesis, or 3D graphics pipelines Experience ...

propose solutions taking effort-impact-scalability tradeoff into account.Some skills that will make you stand out: Apache Spark, Iceberg, Kafka, dbtScikit-Learn, XGBoost, PyTorch, MLFlow,, GraphFrames, RayAWS (S3, EMR, SageMaker, Lakeformation), Terraform, Docker, GitHub CI/CDKnowledge Graphs (+ RAG), graph ML, probabilistic programming, A/B testingAdditional InformationFor everyone ...

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 ...

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. ...