> Markdown version of [/jobs/ext/2803810-mlops-lead-sagemaker-cloud-native-ml-architect](https://www.wearedevelopers.com/jobs/ext/2803810-mlops-lead-sagemaker-cloud-native-ml-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# MLOps Lead: SageMaker & Cloud-Native ML Architect

- **Company:** Uniting Ambition Limited
- **Location:** Greater London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Cloud Engineering, Python (Programming Language), Machine Learning, Systems Architecture, ReactJS, Machine Learning Operations
- **Published:** September 9, 2026
- **Apply:** https://www.collegerecruiter.com/job/2858098810-mlops-lead-sagemaker--cloud-native-ml-architect

## About the Role

The role demands extensive experience across software, data, and ML engineering, with strong Python, React, and cloud-native skills to accelerate innovation.
#J-18808-Ljbffr

## Description

Uniting Ambition is seeking a seasoned technical leader to own ML system architecture and drive large-scale transformation. You will oversee migration from MLflow to AWS SageMaker, steward MLOps across predictive maintenance and fault detection, and mentor a 5-10 person engineering team with a balanced leadership and hands-on focus.


## Related Videos

- [Effective Machine Learning - Managing Complexity with MLOps](https://www.wearedevelopers.com/videos/185-effective-machine-learning-managing-complexity-with-mlops)
- [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning)
- [Watch Tests Go Brrrr! : Getting Started with Cypress in ReactJS](https://www.wearedevelopers.com/videos/282-watch-tests-go-brrrr-getting-started-with-cypress-in-reactjs)
- [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills)
- [DevOps for AI: running LLMs in production with Kubernetes and KubeFlow](https://www.wearedevelopers.com/videos/1222-devops-for-ai-running-llms-in-production-with-kubernetes-and-kubeflow)
- [The state of MLOps - machine learning in production at enterprise scale](https://www.wearedevelopers.com/videos/369-the-state-of-mlops-machine-learning-in-production-at-enterprise-scale)

## Related Articles

- [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)
- [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
- [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path)
- [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers)