Machine Learning Engineer

The Machine Learning Engineer position centres on apply classic ML and NLP techniques to complement LLM systems. It would suit someone who can bring careful technical judgement and practical problem-solving to the role.

Role overview

Curious and self‑driven – the ability to make decisions independently and solve novel problems. A keen interest in Gen AI and classic ML, with the ability to apply trends to real‑world objectives.

Main responsibilities

Apply classic ML and NLP techniques to complement LLM systems. Stay at the forefront of AI advancements and their technical implications for the team and business. Tackle the biggest problems facing the company, with the freedom to define novel approaches.

Requirements

• 1+ year of production experience with LLMs, plus deep technical understanding of techniques to adapt LLMs to domains (e.g., advanced RAG, tool calling, finetuning, RL).
• 3+ years of experience with traditional ML techniques, including training and deploying non‑LLM models and monitoring production models with feedback loops.
• Experience working with large codebases and collaborating with multiple engineering teams in large companies.

Job details

• Employment type: Full-time.
• Job function: Engineering and Information Technology.
• Industries: Utilities and Environmental Services.
• Seniority level: Not Applicable.