5 of 5 MLOps Jobs in the East of England

experience developing ML models, with a strong focus on medical imaging Proven track record using deep learning frameworks (PyTorch/TensorFlow) Solid Python skills and familiarity with cloud or MLOps tools (Docker, Kubernetes, MLFlow) Understanding of data pipelines and image analysis techniques (segmentation, registration, feature extraction) Benefits Share options and private healthcare Flexible hybrid working 28 days’ holiday + bank More ❯

experience developing ML models, with a strong focus on medical imaging Proven track record using deep learning frameworks (PyTorch/TensorFlow) Solid Python skills and familiarity with cloud or MLOps tools (Docker, Kubernetes, MLFlow) Understanding of data pipelines and image analysis techniques (segmentation, registration, feature extraction) Benefits Share options and private healthcare Flexible hybrid working 28 days’ holiday + bank More ❯

AI Solutions, B2B, B2C, Azure, AI Foundry, Open-AI, Microsoft Copilot Studio, Machine Learning, Python, TensorFlow, PyTorch, scikit-learn, Large Language Models, LLM, Data preprocessing, REST API, Microservices architecture, MLOps, CI/CD for ML, Power-BI, Docker, Kubernetes, AI Ethics, Cloud Platforms, AWS, Google Cloud Platform, SQL, NoSQL, DevOps, Financial services, Regulatory environments Contract Type: Hybrid/Bedford Daily … with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn. Experience with Large Language Models, prompt engineering, and RAG implementations. Strong skills in data analytics, API development, and MLOps practices including CI/CD for ML. Excellent technical documentation and communication skills. Desirable knowledge in Docker, Kubernetes, and understanding of financial services or regulatory environments. In the first instance More ❯

deploying AI applications using Azure AI tools. Hands-on experience with databases such as Cosmos DB and SQL Server. Knowledge of Azure cloud services and deployment pipelines (DevOps/MLOps). Strong coding skills in Python and experience with REST APIs. Experience ensuring compliance with data protection, cybersecurity, and ethical AI standards Desirable Qualifications: Microsoft Azure AI Engineer Associate or More ❯

AI solutions meet Service Acceptance Criteria for successful deployment. Ensure compliance and data security: Align development with regulatory, security, and industry requirements throughout the lifecycle. Oversee DevOps, DataOps, and MLOps: Ensure Gen AI solutions adhere to coding, security, and performance standards. Promote FAIR data principles: Champion findability, accessibility, interoperability, and reusability in data pipelines and Gen AI solutions. Essential Skills … solution delivery Deep technical mastery in data engineering, software engineering, and cloud platforms, combined with advanced knowledge of Generative AI systems and frameworks. Expertise in AI engineering principles, including MLOps, prompt engineering, model deployment, and operationalizing large language models (LLMs) Strong knowledge and practical application of DevOps, MLOps, and DataOps methods, processes, and tooling Demonstrated product development and product management More ❯