> Markdown version of [/jobs/ext/3749999-sr-ai-ml-engineer-data-product-ai](https://www.wearedevelopers.com/jobs/ext/3749999-sr-ai-ml-engineer-data-product-ai). 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).

---

# Sr AI/ML Engineer, Data Product & AI

- **Company:** 10 Dexcom (uk) Distribution Limited
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $135,100.0 - $225,100.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Big Data, Cloud Engineering, Distributed Systems, Python (Programming Language), Machine Learning, Software Deployment, Software Engineering, Feature Engineering, Large Language Models, Scikit Learn, Production Code, Machine Learning Operations
- **Published:** October 15, 2026
- **Apply:** https://startup.jobs/sr-ai-ml-engineer-data-product-ai-10-dexcom-uk-distribution-li-10461871

## About the Role

* You love being on the cutting edge of AI/ML, are eager to learn new technologies as they emerge, and share a passion for Dexcom's mission and health-sensing applications.
 * You have strong CS fundamentals and hands-on experience with Python and modern AI/ML libraries and frameworks.
 * You have experience taking AI/ML systems all the way to production and operating them reliably at scale, including evaluation, deployment, monitoring, and MLOps practices.
 * You have experience building scalable, cloud-based AI/ML solutions and are comfortable working with large datasets in distributed environments.
 * You are familiar with relevant, modern software engineering and test tooling, and apply engineering rigor to AI/ML work.
 * You bring a responsible-AI mindset, attentive to model safety, reliability, and risk in regulated, high-stakes settings., Typically requires a Bachelor's degree in a technical discipline, and a minimum of 5-8 years related experience or Master's degree and 2-5 years equivalent industry experience or a PhD and 0-2 years experience.

## Description

* You architect end-to-end AI/ML product capabilities, from concept and experimental design through training, evaluation, and production deployment, writing reusable, production-quality code.
 * You build and optimize AI/ML product features, whether powered by predictive models or generative AI such as large language models (LLMs), improving behavior through model selection, prompting, retrieval, feature engineering, fine-tuning, or retraining.
 * You own evaluation and safety for your systems, defining metrics, benchmarks, and monitoring, identifying model and system risks, and driving mitigations and responsible-AI practices across the team.
 * You lead technical strategy that balances model performance, latency, cost, safety, and regulatory requirements.
 * You collaborate with engineers and architects to deploy and scale AI/ML systems in production, building and improving the training, serving, and CI/CD pipelines that keep them reliable, observable, and cost-effective.
 * You coordinate with cross-functional teams, including stakeholders from R&D, Commercial, Product, Legal, and Regulatory, to ensure development aligns with company strategy and meets the highest safety standards.
 * You display excellent written and verbal communication skills, with a proven ability to convey complex methodologies and results to technical and non-technical audiences., To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Dexcom. Only authorized staffing and recruiting agencies may use this site or to submit profiles, applications or resumes on specific requisitions. Dexcom does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to the Talent Acquisition team, Dexcom employees or any other company location. Dexcom is not responsible for any fees related to unsolicited resumes/applications.

AI in Hiring Notice: We may use AI supported tools to help make our hiring process more efficient, consistent, and accessible for candidates around the world. All hiring decisions are made by people.