Snr ML Engineer - Machine Learning, LLMs, MLOps, RAG, Prompt Engineering, UK Remote

Job Description

Snr ML Engineer – Machine Learning, LLMs, MLOps, RAG, Prompt Engineering, UK Remote

My client is revolutionizing the way businesses are leveraging AI with cutting edge Machine Learning technologies. Recently funded and looking for Snr ML Engineers to join the mission to innovate and make an impact.

What You'll Do

• Design, build, and deploy scalable machine learning models and systems.
• Work extensively with Large Models (LLMs) to develop innovative AI-driven applications.
• Implement and optimize Retrieval-Augmented (RAG) architectures to enhance model performance.
• Lead MLOps initiatives to streamline the development, deployment, and monitoring of ML workflows.
• Apply Prompt Engineering techniques to fine-tune LLM outputs and improve usability.
• Collaborate with cross-functional teams to integrate AI solutions into real-world applications.
• Leverage Google Cloud Platform (GCP) to build and deploy cloud-ML solutions.
• Utilize Python and key ML libraries (Pandas, PyTorch, Numpy, etc.) for model development.

What We're Looking For

• 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 (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.

To apply please send your CV to waquas@wmtech.io