11 of 11 MLflow Jobs in the UK excluding London

2+ years experience as data engineer on AI/ML project with Python· Strong experience using Databricks, including Jobs, Asset Bundles, Delta Lake, and MLflow, as well as Azure data engineering tools such as Azure Data Factory and Azure Data Lake Storage (ADLS).· Solid understanding of Scrum practices ...

Computer Science, Data Science, Bioinformatics, Engineering, or a related field, or equivalent experience. Proven experience designing and deploying MLOps pipelines, including MLflow, Azure ML, Azure DevOps, or similar tools. Strong programming skills in Python and familiarity with common ML/AI libraries, including Scikit-learn, TensorFlow, and Keras. Experience implementing ...

Factory, Synapse, Databricks, ADLS Gen2, Event Hub, Purview AWS: S3, Glue, Athena, Kinesis, Lambda, EMR, Lake Formation Databricks: Delta Lake, Unity Catalog, Structured Streaming, MLflow SQL Server stack (SSIS, SSRS) Engineering Practices CI/CD for data platforms and Infrastructure-as-Code (Terraform/Bicep) Git, monitoring and alerting tools ...

integration, automation, security scanning) Scripting: Bash/Linux/Python Understanding/ability to work in air gapped environments Understanding ML concepts and tools (MLFlow, Airflow) Cloud skills (AWS + Google) Skills: Docker ML Ops AWS Python Bash Kubernetes Docker Containerization ...

Code experience (Terraform preferred) Desirable Experience MLOps for robotics, autonomous systems or embodied AI Kubeflow, SkyPilot or similar tooling ONNX and TensorRT deployment MLflow or experiment tracking platforms Event-driven architectures GPU orchestration and optimisation Simulation and sim-to-real workflows What's on Offer Salary dependent on experience Equity ...

security at scale. Strong expertise in model lifecycle security, data pipelines and secure deployment. Hands‐on experience with ML stacks such as PyTorch, TensorFlow, MLflow, Kubeflow, or equivalent managed platforms. Solid understanding of cloud‐native and containerised architectures, including Kubernetes and serverless technologies. Experience operating in complex hybrid environments spanning ...

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 ...

Knowledge of Unity Catalog, governance, RBAC and platform security Experience improving platform reliability, scalability and developer experience Desirable: Databricks Asset Bundles (DABs) Azure DevOps, MLflow and MLOps exposure This role will focus on building scalable platform capabilities, enabling domain-led data products, and driving best practice across a modern data ...

automation Work within air-gapped environments, ensuring secure deployment of ML solutions Collaborate with data scientists to operationalise ML models Utilise tools such as MLflow and Airflow for model tracking and orchestration Support cloud-based deployments across AWS and Google Cloud Platform Ensure performance, reliability, and scalability of machine learning …/Linux Experience building CI/CD pipelines using GitLab (YAML) Understanding of DevSecOps principles and tooling Exposure to ML lifecycle tools such as MLflow and Airflow Ability to work in highly secure or air-gapped environments Strong problem-solving and collaboration skills What you'll get in return Opportunity ...

Full Stack Engineer – ML/GenAI Our trusted partner, which operates within the Ed-Tech domain, employs over 10,000 individuals across 100 countries, and has a reach of 600 million users, is recruiting a ...

Job Title: DevOps Engineer Location: Durrington, hybrid Contract Type: Permanent Hours: 37 per week Salary: from £50k About the role We're looking for a forward-thinking DevOps Engineer to play a key role in ...