Machine Learning Solutions Architect

2 days ago


Leeds, Leeds, United Kingdom WMtech Full time
About the Role

We are seeking an experienced Senior Machine Learning Engineer to join our team at WMTech, where you will have the opportunity to work with cutting-edge Machine Learning technologies and make a significant impact.

This role requires a strong background in machine learning, with 5+ years of experience in production-grade model development. Expertise in Large Language Models (LLMs) and experience working with MLOps tools and pipelines are essential.

Key Responsibilities
  • Design and deploy scalable machine learning models and systems using Google Cloud Platform (GCP), focusing on model performance optimization.
  • Develop and implement innovative AI-driven applications leveraging LLMs, including fine-tuning, model evaluation, and deployment.
  • Lead MLOps initiatives to streamline the development, deployment, and monitoring of ML workflows, utilizing Python and key ML libraries.
  • Collaborate with cross-functional teams to integrate AI solutions into real-world applications.
Requirements
  • 5+ years of experience in machine learning, with a strong focus on building production-grade models.
  • Expertise in LLMs, including engineering, fine tuning, model evaluation, deployment, and real-world applications.
  • Hands-on experience with MLOps tools and pipelines (e.g., MLflow, Kubeflow, or similar).
  • Solid programming skills in Python, with experience in ML libraries such as Numpy, PyTorch, or Pandas.
  • Knowledge of Retrieval-Augmented Generation (RAG) techniques, embeddings, knowledge graphs.
  • Strong experience working with Google Cloud Platform (GCP) for ML workflows.
  • Data Science/ Computational Linguistics: Building evaluation frameworks and datasets, model iteration, gap analysis.

As a valued member of our team, you can expect a competitive salary range of £100,000 - £150,000 per annum, along with a comprehensive benefits package and opportunities for professional growth.



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