5 of 5 Permanent MLOps Jobs in the East Midlands

complex issues, and improving platform reliability. Strong understanding of data quality, governance, lineage, security, and auditability. Experience or strong interest in AI, machine learning, MLOps or large language model technologies. Proven ability to influence technical decisions, mentor engineers, and drive engineering best practices. About IdeagenIdeagen is the invisible force behind ...

Also Have Experience with Microsoft AI technologies, including Copilot Studio, Azure AI Foundry and Azure OpenAI. Knowledge of AI DevOps, AgentOps, or MLOps practices. Experience developing AI agents or AI-enabled business applications. Relevant cloud, AI, or engineering certifications. Experience working in retail, healthcare or other large, complex organisations. Where ...

also have: Experience with Microsoft AI technologies, including Copilot Studio, Azure AI Foundry and Azure OpenAI. Knowledge of AI DevOps, AgentOps, or MLOps practices. Experience developing AI agents or AI-enabled business applications. Relevant cloud, AI, or engineering certifications. Experience working in retail, healthcare or other large, complex organisations. Where ...

integrity, normalisation and scalability. Build, deploy, monitor and maintain ML Models. Key use cases include feed optimisation, recommendation algorithms, classification tasks, predictive analytics and MLOps deployments. Continuously evaluate the effectiveness of our models and feed logic, providing recommendations for architecture improvements and performance optimisation. What Youll Bring: Proven years … Python. Familiarity with data manipulation libraries (e.g. PySpark, Pandas, Numpy) and machine learning frameworks (e.g. scikit-learn, TensorFlow or PyTorch). Experience with MLOps tools (e.g., MLflow, Databricks Model Registry, Unity Catalog, Vertex AI) and version control (Git). Strong coding practices with experience in code optimisation, ETL frameworks ...

place where everyone can grow, develop and fulfil your potential with meaningful careers. The Role: We are seeking a Principal Machine Learning Engineer (SageMaker, MLOps, Model Governance & Explainability) to provide technical leadership across the full lifecycle of machine learning systems powering a new matching platform. This role is accountable … defining ML architecture, establishing engineering standards, driving MLOps maturity, and ensuring that our models are scalable, secure, explainable, and governed to enterprise‐grade standards. You will contribute to the strategic direction of our ML platform—spanning data pipelines, model development, deployment automation, inference runtime design, telemetry, drift detection, and cross ...