Python ML Engineer (LLM & Data Specialist)

Join to apply for the Python ML Engineer (LLM & Data Specialist) role at alteam. This range is provided by alteam. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range: $85,000.00/yr - $105,000.00/yr.

Location: Remote (US time zone preferred)

Type: Full-Time | Contractor or Employee

Start Date: ASAP

Project: Work at a fast-scaling AI-driven proptech startup.

About Us: Alteam is more than just a tech company; we are a hub of innovation and talent. We empower product designers, consultants, and engineers with a community rich in knowledge, mentors, and training opportunities. Our collaboration with various organizations allows us to build teams that are skilled and adept in agile delivery standards. Our client platform delivers intelligent insights to property managers, letting agents, and landlords — helping them optimise building occupancy, understand resident profiles, and automate tedious admin tasks.

As we accelerate our machine learning and AI capabilities, we’re hiring a Python ML Engineer with hands-on LLM training experience to help us push the limits of what’s possible.

The Role: As our ML Engineer, you’ll work directly with the founding team and product leads to build, fine-tune, and deploy intelligent models that work on complex, real-world datasets. This is a hands-on, high-impact role perfect for someone who thrives in a startup environment and wants to shape the future of real estate technology.

What You’ll Do:

• Develop, train, and evaluate machine learning models using Python, with a focus on LLMs and structured/unstructured datasets.
• Work with large and complex datasets including resident data, occupancy logs, utility consumption, and admin records.
• Collaborate with the Tech Lead and Product team to turn customer problems into scalable ML features.
• Explore and prototype model fine-tuning using OpenAI, Gemini, or similar APIs.
• Monitor model performance and iterate quickly in a fast-paced production environment.
• Contribute to the architecture and pipeline design for model training and inference.
• Maintain clean, version-controlled, and well-documented code.
• Optional: travel to the US for product workshops and strategy sprints.

Must-Have Experience:

• 5-7 years of experience in applied machine learning with Python.
• Proven track record in training LLMs or working with LLM pipelines.
• Strong experience working with complex, real-world datasets.
• Previous experience in a startup or scale-up environment.
• Solid understanding of ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn).
• Comfortable with experimentation, testing, and deploying ML models in production.
• Excellent communication skills and fluent English.

Nice to Have:

• Experience with OpenAI, Gemini, or other LLM APIs (prompting or fine-tuning).
• Domain knowledge or previous experience in real estate, proptech, or smart buildings.
• Familiarity with ML ops practices and tools (e.g., MLFlow, Airflow, DVC).
• Ability to handle geospatial data, time series, or IoT data streams.
• Interest in NLP, recommendation systems, or clustering algorithms.

Join Us: This is a unique opportunity to join a dynamic team fully integrated with our startup partner and work on cutting-edge projects in a supportive and growth-oriented environment. We’d love to hear from you if you’re a mid-level full-stack developer ready to take on a new challenge!

NO RECRUITER OR AGENCY. We only accept direct referrals from our trusted partners.