Signet Jewelers · 19 hours ago
Senior Machine Learning Engineer (REMOTE)
Signet Jewelers is the world's largest retailer of diamond jewelry, operating over 2,800 stores globally. They are seeking a hands-on Senior Machine Learning Engineer to operationalize advanced models across various AI use cases, ensuring that models developed by Data Science teams are production-ready and scalable.
E-Commerce PlatformsJewelryRetail
Responsibilities
Design, build, and automate production-grade data pipelines to support elasticity, uplift, and other analytical models
Implement clean, reusable data transformation logic that ensures consistency across modeling, analytics, and reporting layers
Develop and maintain real-time inference services (e.g., AWS SageMaker endpoints) to allow business teams and applications to consume model outputs seamlessly
Establish MLOps best practices, including:
Model performance monitoring and drift detection
Automated retraining and evaluation pipelines
Feature / model versioning and lineage tracking
Enable CI/CD for ML deployments, ensuring reliability, reproducibility, and rapid iteration
Partner with Data Science teams to accelerate experimentation and automate recurring workflows
Identify and drive automation opportunities across the broader AI & Data Science ecosystem to improve scalability, reliability, and cost efficiency
Qualification
Preferred
Bachelor's or Master's degree in Computer Science, Data Engineering, Applied ML, or equivalent experience
3–6 years of industry experience in ML Engineering or MLOps
Experience in retail analytics — such as demand forecasting, pricing, promotions, inventory optimization, customer segmentation, or e-commerce metrics — is highly preferred
Strong programming skills in Python (pandas, PySpark, FastAPI, etc.)
Experience building and managing ETL/ELT pipelines
Hands-on experience deploying ML systems on AWS (SageMaker, Lambda, ECS/EKS, S3, Kinesis/Streams, etc.)
Experience with CI/CD tools (GitHub Actions, CodePipeline, Jenkins, etc.)
Familiarity with monitoring and observability for ML (model drift, feature drift, inference latency, cost monitoring)
Experience with containerization & orchestration (Docker, Kubernetes) is a plus
Experience building data products or ML-powered APIs that expose predictions or insights back to business applications
Experience with feature stores (SageMaker Feature Store / Feast)
Experience supporting batch + real-time inference workloads
Benefits
Comprehensive healthcare, dental, and vision insurance to keep you and your family covered - with benefits active on day 1 of employment
Generous 401(k) matching after just one year to help secure your financial future
Ample paid time off, plus seven holidays to recharge and unwind
Exclusive discounts on premium merchandise just for you
Dynamic Learning & Development programs to support your growth
And more!
Company
Signet Jewelers
Signet Jewelers engages in the retail sale of jewelry and watches in the United States, the United Kingdom.
H1B Sponsorship
Signet Jewelers has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8)
2024 (13)
2023 (5)
2022 (9)
2021 (17)
2020 (8)
Funding
Current Stage
Public CompanyTotal Funding
$625.27MKey Investors
Leonard Green & Partners
2016-08-25Post Ipo Equity· $625.27M
2008-09-11IPO
Leadership Team
Recent News
2025-12-30
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2025-12-10
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