Senior ML Engineer

🚀 Machine Learning Engineer (MLOps Focus) – NOT GenAI

I'm hiring a Machine Learning Engineer with strong MLOps / DevOps expertise to build and deploy production-grade ML systems.

This is not a Generative AI role — I'm looking for engineers experienced in training, deploying, and scaling task-specific models.

🔧 What you’ll do

• Build & train ML models for tasks like classification, computer vision, and time-series analysis
• Design and maintain end-to-end ML pipelines
• Deploy models into production (real-time & batch)
• Improve performance, scalability, and reliability of ML systems
• Work on edge / efficiency optimisation where needed

🧠 What we’re looking for

• Strong experience with Python, PyTorch or TensorFlow
• Solid background in traditional ML / deep learning (not LLM-focused)
• Hands-on experience with MLOps tooling (e.g. MLflow, Kubeflow, Airflow)
• Experience with Docker / Kubernetes / CI-CD pipelines
• Proven track record of model deployment in production

🚫 Not the right fit if your focus is:

LLMs, Generative AI, prompt engineering, or RAG pipelines