Offer summary

Qualifications:

Bachelor’s degree in Computer Science, Engineering, or a related field., 3+ years of experience in Machine Learning, Data Science, or a related field., Proficient in Python and familiar with ML libraries like PyTorch and Scikit-learn., Strong mathematical, analytical, and problem-solving skills..

Key responsabilities:

Curation, cleaning, and maintenance of datasets for ML models.

Develop, optimise, and deploy ML models following MLOps best practices.

Collaborate with product managers and stakeholders to establish ML product requirements.

Monitor ML models in production and implement corrective measures for performance issues.

Job description

Machine Learning Engineer II | Full Time

Remote, Scotland or Glasgow, UK

At Zonda, we're not just envisioning the future of housing – we're crafting it! We're not just following the trends; we're setting them! With our sights set on a groundbreaking 2030 vision, we're not just playing the game: we're rewriting the rules!

Ready to bring your passion and expertise as a Machine Learning Engineer II to our dynamic team? At Zonda, we don't just seek employees; we seek trailblazers, dreamers, and innovators. Here, every project is a canvas for creativity, and your skills aren't just tools; they're the building blocks of our future! Join us on a journey where collaboration knows no bounds, diversity is celebrated, and innovation is the heartbeat of our culture. Together, let's shape the future of housing in an environment that's as exciting as it is rewarding!

The ML Engineer II is a mid-level position responsible for ML based product development and maintenance. As a mid-level engineer in this role, you will work closely with senior engineers and business stake holders, contributing to the entire lifecycle of building and maintaining an ML product. An important aspect of this role would be product design and execution bearing cost efficiency and speed. The ideal candidate would have skills in software programming, ML, mathematics, and DevOps. Good communication skills with an ability to demystify ML algorithms and capabilities is a must, as stakeholders in ML products include software engineering teams as well as non-technical business partners.

Responsibilities

Curation, cleaning, and maintenance of datasets for ML models.
Develop, optimise, and deploy ML models with MLOps best practices, including CI/CD.
Work with Product stakeholders to capture and establish ML product requirements.
Collaborate with product managers, software engineering teams, data scientists and other departments to design ML products.
Steer consolidation of dataset requirements, acquiring data, annotation, management, and version control for ML applications.
Monitor ML models in production, setting metrics to identify drift, and establish corrective measures for restoring model performance.
Identify and implement appropriate tools for monitoring product performance in production.
Ownership of technical documentation related to datasets, model selection, training experiments, and production infrastructure.
Continual learning and self-improvement with a focus on latest trends, techniques, and best practices in Machine Learning.

Qualifications & Skills

Bachelor’s degree in Computer Science, Engineering, or a related field.
3+ years of experience in Machine Learning, Data Science, or a related field.
Proficient in Python and working knowledge of ML libraries (PyTorch and Scikit-learn).
Strong mathematical, analytical, and problem-solving skills.
Good understanding of Machine Learning algorithms and models (Transformers, deep neural networks for semantic segmentation, object detection and classification).
Experience in designing ML products for inference in cloud.
Ability to structure and execute an ML project from start to completion, for both training and inference.
Excellent communication and teamwork skills; ability to work in a team.
Experience with cloud computing platforms like AWS, Google Cloud, or Azure.
Familiarity with containerization and orchestration tools like Docker and Kubernetes.
Experience with version control systems like Git.

Nice to have.

Masters in a specific field such as Statistics, Data Science, Machine Learning, or AI.
Experience with Generative AI models.
Basic understanding of GIS, satellite imagery, protocols for image delivery such as WMTS, WFS, WMS.
API development using standard tools such as FastAPI or Flask.
Familiarity with data engineering and workflow orchestration tools like Airflow

Administrative

The candidate must have the right to work in UK
The candidate must reside in the Scotland Central belt

Why People Love Working Here

We offer meaningful work and opportunities for career growth
Competitive Salary
Comprehensive benefit package (Medical, Dental, Vision)
Paid vacation and general holidays
Education Allowance
Employee & Family Assistance Program (EFAP)

Inclusion & Equal Opportunity Employment

We are an equal opportunity employer committed to diversity, inclusion & belonging. People seeking employment at Zonda are considered without regard to any protected category including but not limited to, race, color, religion, national origin, age, sex, marital status, ancestry, disability, veteran status, gender identity, or sexual orientation.

Require an Accommodation? We’re here to help

We are proud to provide interview & employment accommodation during the recruitment and hiring process. If you require any accommodation to apply or interview for a position, please reach out directly to jlata@zondahome.com. We are committed to work with you to best meet your needs.

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