ML / Data Engineer

About the Company

Not sure what skills you will need for this opportunity Simply read the full description below to get a complete picture of candidate requirements.

I'm partnering with a well-funded technology company building next-generation AI products and looking for an experienced ML / Data Engineer to help shape the future of intelligent decision-making systems.

About the Role

This is an opportunity to work at the intersection of:

• Machine Learning
• Computer Vision
• Generative AI
• Large Language Models
• Production AI Engineering

The Role You'll be responsible for developing, evaluating and deploying machine learning models that solve complex real-world problems at scale. Working alongside a highly technical team of engineers and researchers, you'll help design intelligent systems that combine multiple AI approaches, balancing performance, reliability and operational efficiency.

Responsibilities

Key responsibilities include:

• Developing and improving machine learning and deep learning models
• Building evaluation frameworks to measure model performance
• Fine-tuning and deploying open-source AI models
• Developing production-grade AI solutions using frontier-model APIs
• Designing data-driven feedback loops to continuously improve system performance
• Collaborating with software engineers to deploy scalable ML systems

Qualifications

• Commercial experience building and deploying ML models

Required Skills

What We're Looking For

• Commercial experience building and deploying ML models
• Strong Python skills (PyTorch, NumPy, Pandas, OpenCV, SQL)
• Experience working with LLMs, GenAI, or multimodal AI systems
• Production experience integrating external AI APIs
• Understanding of model evaluation, experimentation xwzovoh and optimisation
• Experience with Docker, CI/CD and software engineering best practices

Preferred Skills

Nice to Have

• Computer Vision experience
• Experience fine-tuning foundation models
• MLOps or platform engineering exposure
• Experience working with large-scale datasets

Pay range and compensation package

• Competitive salary, bonus and benefits package

Equal Opportunity Statement

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