Principal Machine Learning Engineer

Principal ML Engineer – AI / ML (Production-Focused)

Immersum are working with a fast-growing AI consultancy delivering intelligent systems into complex, regulated environments. They’re hiring Principal engineers who can own problems end-to-end: from shaping the approach, through modelling, to deploying something that genuinely works in the real world.

This isn’t a research role. It’s applied, hands-on, and client-facing.

Responsibilities

• Working directly with stakeholders, building and deploying ML systems using Python and modern cloud environments (AWS / Azure).
• Helping organisations understand whether what they’ve built is actually performing — and why.
• Applying statistical modelling and classical machine learning techniques.
• Designing experiments that tie back to commercial outcomes.
• Ensuring what gets built can actually scale in production systems.
• Taking something from idea → prototype → production without handing it off.
• Being able to explain performance, handle challenge, and build trust with clients.
• Increasing exposure to AI and LLM-driven use cases.

Requirements

• ~6-8+ years in data science / machine learning.
• Strong grounding in statistics, experimentation, and evaluation methods.
• Experience deploying ML systems into production environments.
• Solid engineering capability (typically Python-based stacks).
• Exposure to cloud platforms (AWS or Azure).
• Experience working in more complex or regulated environments (e.g., pharma, biopharma, medtech, or manufacturing).
• Familiarity with regulatory standards like ISO 27001, ISO 13485, or GxP (GDP / GMP) is a plus.
• Practical experience applying LLMs across real business use cases (not just experimentation) is a plus.
• Exposure to manufacturing or biopharma data science problems is a plus.

About Immersum

Immersum is a fast-growing AI consultancy delivering intelligent systems into complex, regulated environments. They value pragmatism, impact over elegance, end-to-end ownership, and direct stakeholder engagement.