10 of 10 MLOps Jobs in the North of England

services. Apply data modelling concepts (e.g., medallion architecture) and ensure data quality and governance. Collaborate with DevOps teams to automate CI/CD and MLOps processes using Azure DevOps, Kubernetes, and Terraform. Visualize and communicate insights using Power BI, Tableau, and PowerApps. Mentor junior engineers and contribute to internal knowledge ...

reusable data models for dashboards and performance monitoring. Managing the cloud data warehouse and ensuring data quality, reliability, and performance. Supporting the move towards MLOps capability, including versioning and reproducibility. SKILLS AND EXPERIENCE The successful Senior Data Engineer will have the following skills and experience: Strong commercial experience ...

reusable data models for dashboards and performance monitoring. Managing the cloud data warehouse and ensuring data quality, reliability, and performance. Supporting the move towards MLOps capability, including versioning and reproducibility. SKILLS AND EXPERIENCE The successful Senior Data Engineer will have the following skills and experience: Strong commercial experience ...

Skills and Qualifications Experience working with cloud platforms such as Azure, AWS, or Google Cloud. Background in deploying machine learning models into production environments (MLOps experience is advantageous). Hands-on experience with big-data or distributed computing tools such as Spark and Databricks. Familiarity with visualisation tools such ...

GCP. A track record of building or scaling an AI/Automation strategy. Desirable extras include: Hands-on coding experience. Familiarity with MLOps or RPA tooling. Experience with advanced analytics, data engineering or architecture. Knowledge of industry compliance standards (ISO, Cyber Essentials). Experience with RPA platforms such as Robert ...

Lead the implementation of Generative AI models, LLMs, and agentic frameworks. •Collaborate with stakeholders to define problem statements and solution approaches. •Deploy models using MLOps tools such as SageMaker, Snowflake, and CI/CD pipelines. •Integrate vector databases and Retrieval-Augmented Generation (RAG) pipelines. •Ensure high-quality delivery and adherence … Azure, GCP) and their AI/ML services. •Minimum 5 years in ML model development, data engineering, and software engineering. •Minimum 3 years in MLOps and AI/ML deployment. •Minimum **2 years in Generative AI, LLMs, and agentic frameworks. Preferred •Experience with API Gateway development and deployment on Azure ...

communicate solutions that enable data- and AI-driven business outcomes. This role supports the organisation in maximising productivity and innovation through reliable AI platforms, MLOps practices, and cloud-based digital transformation initiatives. What you’ll be doing: As a Digital and AI Support Apprentice, you will be supported to: Adopt ...

services. AI & ML Leadership Architect advanced Data Science, ML and AI solutions, including NLP, RAG LLM and Agentic AI systems. Oversee the implementation of MLOps frameworks, ensuring robust deployment, monitoring, and lifecycle management of ML models. Evaluate and recommend emerging AI/ML technologies and platforms, driving innovation in intelligent … data governance, and quality frameworks. Implementing technical reviews and driving high standards. Collaborate with engineering and DevOps teams to establish CI/CD and MLOps architectures using Azure DevOps, Kubernetes, and Terraform. Guide the selection and implementation of visualization and analytics tools (Power BI, Tableau, PowerApps). Stakeholder Engagement: Engage ...

engineering tasks to ingest, clean, and structure data from varied sources. Pipeline Management: Oversee the end-to-end data lifecycle within Azure , ensuring robust MLOps practices. Required Skills & Experience Education & Technical Foundations Degree: Bachelor’s or Master’s degree in STEM, Computer Science, Mathematics, Statistics , or a related quantitative field. … with the ability to handle large, complex datasets independently. Collaboration: Proficient in Git and comfortable working with Excel for stakeholder data exchange. Cloud & MLOps: Hands-on experience with Azure , MLOps pipelines, and API frameworks. Analytical & Commercial Skills Experimentation: Deep understanding of statistical methods, specifically A/B testing , hypothesis testing ...

Lead AI Engineer £80,000 - £90,000 Sheffield (Hybrid, 1-2 days a week) A rare opportunity to step into a Lead level role where you will shape a new AI function and play a ...