ML Engineer. LilyLifestyle

We are looking for a Machine Learning Engineer who excels at turning AI research into scalable, production‑grade reality. You will be responsible for the "heavy lifting" building the frameworks that allow our AI models to reason, the pipelines that feed them, and the infrastructure that ensures they are fast, ethical, and cost‑efficient. You will bridge the gap between Data Science prototypes and enterprise‑scale deployment.

• AI model design and build:
  Work closely with data scientists and business to design and implement AI algorithms, frameworks, and architectures.
• AI model data preprocessing:
  Design, build, and maintain robust ETL/ELT pipelines to ingest, transform, and load data from various sources.
• AI model feature engineering:
  Integrate structured and unstructured data from internal and external systems into centralized data platforms.
• Performance tuning of AI models:
  Optimize data workflows and queries for performance, scalability, and cost‑efficiency.
• Building agentic systems:
  Develop intelligent AI agents that can reason, plan, and execute tasks autonomously using LLMs and other tools.
• LLM application development:
  Fine‑tune pretrained LLMs for specific tasks using techniques such as PEFT (e.g., LoRA, QLoRA), implement Retrieval‑Augmented Generation pipelines to enhance knowledge and accuracy of LLMs, utilize vector databases for efficient storage and retrieval of embeddings, and craft effective prompts to elicit desired responses.

Communicate findings:
Collaborate extensively with data scientists and business during model development and deployment, and maintain updated documentation with details of all aspects of the model development lifecycle.

Responsible AI:
Build AI systems which are trustworthy and beneficial considering ethical principles such as fairness, transparency, accountability, privacy, and reliability. Implement quantifiable metrics detecting bias, explainability and adherence to regulatory compliance.

Randstad Technologies is acting as an Employment Business in relation to this vacancy.