6 of 6 Remote/Hybrid MLOps Jobs in Newcastle upon Tyne

Supporting the full ML lifecycle, from experimentation to deployment and optimisation.* Applying best practices in data engineering and contributing to architectural decisions.* Using modern MLOps tools and CI/CD approaches to improve reliability and efficiency.* Contributing to a culture of knowledge-sharing and continuous improvement.## ## Technical ExperienceWe ...

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 ...

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 ...

business can trust and use data with confidence. You’ll collaborate closely with colleagues in Data Engineering, Data Science, Pricing, Platform Engineering and MLOps, acting as a trusted partner and technical authority. Together, you’ll define clear standards for how data is structured, governed and consumed, helping the organisation grow … Terraform or Azure Bicep) to automate cloud deployments. CI/CD pipelines with Azure DevOps or GitHub Actions for automated deployment of data pipelines. MLOps best practices — MLflow, Databricks Model Serving, Feature Store. Knowledge of IFRS 17, BCBS 239, UK Data Protection Act and Solvency II compliance. Experience with pricing ...

technologies where appropriate • Validate data, perform testing and ensure analytical output quality • Monitor model performance and support ongoing optimisation and governance • Contribute to MLOps practices including deployment, versioning and monitoring • Translate technical findings into clear business recommendations • Develop reusable analytical assets, datasets and reporting solutions • Collaborate with stakeholders to identify … similar quantitative discipline Desirable • Experience with Microsoft Fabric or modern cloud-based data platforms • Exposure to NLP, LLMs or Generative AI technologies • Experience with MLOps practices and CI/CD pipelines • Understanding of data governance and model governance frameworks • Previous experience within financial services, fintech or regulated environments • Leadership ...

A leading IT services company is seeking a Machine Learning Ops Engineer in Newcastle. This role involves deploying machine learning models, collaborating with cross-functional teams, and contributing to an inclusive work environment. Candidates should ...