Machine Learning Engineer

People In AI is a specialist recruitment partner focusing on building world-class AI, machine learning, and data teams. As a Senior Machine Learning Engineer, you will work across the full ML lifecycle to design, build, and deploy machine learning systems that directly impact business operations.

Responsibilities:

• Design, build, and deploy machine learning systems in production environments
• Develop models across a range of techniques, including regression, classification, clustering, ranking, and recommendation systems
• Own the ML lifecycle from data exploration and feature engineering through to deployment, monitoring, and iteration
• Build intelligent product features using large-scale proprietary operational datasets
• Contribute to the development of AI agents and LLM-powered workflows integrated into core product experiences
• Design and maintain scalable ML infrastructure, including feature stores, model serving, and CI/CD pipelines
• Partner closely with product and engineering teams to translate real-world business problems into ML solutions
• Help shape the architecture, tooling, and best practices of a growing ML function

Requirements:

• Ample applied machine learning experience in production environments
• Proven experience shipping ML models and systems beyond research or notebooks
• Strong Python skills with hands-on experience using frameworks such as PyTorch or TensorFlow
• Solid foundation in classical machine learning techniques (regression, classification, clustering, ranking, feature engineering, experimentation)
• Experience with modern MLOps practices, including model versioning, deployment pipelines, monitoring, and orchestration
• Strong SQL and experience working with large-scale structured datasets
• A collaborative mindset - low ego, high ownership, and strong cross-functional communication
• Exposure to NLP, LLM-based systems, or vector databases is a plus
• Experience in startup or high-ownership environments where ambiguity and autonomy are expected