Machine Learning Engineer II

TN United Kingdom; Glasgow; Remote; GBP 60,000 - 100,000; Full time

Job summary

An innovative firm is seeking a Machine Learning Engineer II to join their dynamic team. This role focuses on developing and maintaining NLP-based products, where your expertise in machine learning and programming will help shape the future of housing. You'll collaborate with both technical and non-technical stakeholders to design and optimize models, ensuring they meet product requirements. With a commitment to diversity and collaboration, this position offers a rewarding environment where your contributions will be valued and impactful. Join a forward-thinking company that's setting trends in the industry!

Benefits

Comprehensive benefits (Medical, Dental, Vision)

Paid vacation and holidays

Education allowance

Employee & Family Assistance Program (EFAP)

Qualifications

• 3+ years of experience in ML or Data Science.
• Strong mathematical and analytical skills.
• Ability to manage ML projects from start to finish.

Responsibilities

• Develop, optimize, and deploy NLP models.
• Collaborate with stakeholders to establish requirements.
• Monitor ML models in production and implement corrective measures.

Skills

Python

Machine Learning

Natural Language Processing

Data Science

Mathematics

DevOps

Communication Skills

Education

Bachelor's degree in Computer Science

Master's degree in Statistics or related field

Tools

PyTorch

scikit-learn

AWS

Google Cloud

Azure

Docker

Kubernetes

Git

Job description

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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 trends; we're setting them! With our sights set on a groundbreaking 2030 vision, 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 seek trailblazers, dreamers, and innovators. Here, every project is a canvas for creativity, and your skills are the building blocks of our future! Join us where collaboration knows no bounds, diversity is celebrated, and innovation drives our culture. Let's shape the future of housing together in an environment that's exciting and rewarding!

The ML Engineer (Natural Language Processing) II is a mid-level role responsible for developing and maintaining NLP-based products. You will work closely with senior engineers and non-technical stakeholders, contributing to the entire lifecycle of NLP products, focusing on product design, cost efficiency, and speed. The ideal candidate will have skills in software programming, ML, mathematics, and DevOps, with good communication skills to demystify ML algorithms for both technical and non-technical audiences.

Responsibilities

1. Curation, cleaning, and maintenance of datasets for NLP models.
2. Develop, optimize, and deploy NLP models.
3. Collaborate with product stakeholders to capture and establish requirements for NLP models.
4. Design NLP products for inference in collaboration with product managers and engineering teams.
5. Manage dataset requirements, data acquisition, annotation, and version control for NLP applications.
6. Monitor ML models in production, set metrics to identify drift, and implement corrective measures.
7. Implement tools for monitoring product inference performance.
8. Maintain technical documentation related to datasets, models, and infrastructure.
9. Engage in continual learning to stay updated with latest trends and best practices in ML.

Qualifications & Skills

Must have:

1. Bachelor's degree in computer science, engineering, or related field.
2. 3+ years of experience in ML, Data Science, or related areas.
3. Proficiency in Python and familiarity with ML libraries like PyTorch and scikit-learn.
4. Experience with LLM frameworks such as LlamaIndex or Langchain.
5. Strong mathematical, analytical, and problem-solving skills.
6. Understanding of ML algorithms and models like GPT, BERT.
7. Experience designing ML inference products in cloud environments.
8. Ability to manage ML projects from start to finish.
9. Excellent communication and teamwork skills.
10. Experience with cloud platforms (AWS, Google Cloud, Azure).
11. Knowledge of containerization and orchestration tools (Docker, Kubernetes).
12. Experience with version control systems like Git.

Nice to have:

1. Master's degree in Statistics, Data Science, ML, or AI.
2. Experience with Generative AI models.
3. Knowledge of SQL and NoSQL databases.
4. API development experience with FastAPI or Flask.

Why People Love Working Here

• Meaningful work and growth opportunities
• Competitive salary
• Comprehensive benefits (Medical, Dental, Vision)
• Paid vacation and holidays
• Education allowance
• Employee & Family Assistance Program (EFAP)