Lead Machine Learning Data Engineer T500-19792

ANSR is hiring for one of its clients:

About Dr. Martens:

Dr. Martens is an iconic British brand founded in 1960 in Northamptonshire. Produced originally for workers looking for tough, durable boots, the brand was quickly adopted by diverse youth subcultures and associated musical movements. Dr. Martens has since transcended its working-class roots while still celebrating its proud heritage and, six decades later, "Docs" or "DM's" are worn by people around the world who use them as a symbol of empowerment and their own individual attitude. The Company listed on the main market of the London Stock Exchange on 29 January 2021 (DOCS.L) and is a constituent of the FTSE 250 index.

The stuff that sets you apart:

Required Experience and Skills:

Our Must Haves:

• 6- 10 years of experience in MLOps, ML Model Development and data engineering / ML engineering.
• Candidates should have developed and deployed the ML Models End to END.
• Model development using scikit-learn and TensorFlow / PyTorch

Must haves:

• CI/CD
• TensorFlow Or Pytorch
• Apache Airflow
• MLOps Or Microsoft Azure Machine Learning Or AWS Sage maker OrMLFlow
• Python or Scala
• Docker or Kubernetes

Some experience in GenAI frameworks (Ability to contextualize and fine tune Foundation models)

• Bachelor's degree in computer science, Engineering, Data Science, or a related field. Master's degree preferred.
• Proficiency with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and understanding of supervised and unsupervised learning algorithms.
• Strong experience with CI/CD tools (e.g., Jenkins, GitLab CI, CircleCI) to automate deployment processes.
• Adept in programming languages such as Python, Java, or Scala, with solid knowledge of SQL and NoSQL databases.
• Familiarity with cloud services (AWS, Azure, Google Cloud) and containerization technologies (Docker, Kubernetes).
• Experience with data pipeline frameworks (e.g., Apache Airflow, Apache Kafka).
• Excellent problem-solving and analytical skills, with the ability to troubleshoot complex issues.
• Strong communication skills to work with cross-functional teams and present findings effectively to non-technical stakeholders.
• Comfortable with Snowflake centric MLOps leveraging Snowpark developer framework, Snowflake UDFs / store procedures and other SF capabilities for feature engineering and version control.
• Having experience on any of these MLOps platform Azure ML / AWS Sage maker / MLFLow(Databricks)

Nice to have:

• Azure ML integration with Snowflake: Use Snowflake as the data layer, Azure ML for model training, and push back results for inference.
• Anomaly Detection & AutoML: Building modular components that can run and scale via Snowpark.
• Model Monitoring: Statistical drift detection using Snowflake + Power BI dashboards.
• Data Build tool (DBT): Modular, testable, and documented transformations feeding ML workflows.

Core Competencies:

• Strong problem-solving skills with a proactive approach to optimization.
• Excellent communication skills and ability to collaborate across global teams and time zones.
• Experience in designing and implementing MLOps best practices and frameworks.

Are you ready to fill your boots? Apply now.

At Dr. Martens, we are committed to creating an environment in which we can be our best and bring our authentic selves to work. We encourage applications, regardless of race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, or disability. Diverse and inclusive teams have a positive impact on our brand helping us to speak authentically to our customers.

We strive to develop a business where our people can thrive and feel empowered to express themselves. Because we believe everyone should feel supported and included whatever their role in the Dr. Martens community.