ML Scientist — Adversarial Robustness & Efficient Vision

Mercor; Greater London; On-site; GBP 80,000 - 120,000; Full time

Job summary

Mercor is seeking experienced machine learning researchers to work on deep learning models across vision and language. You will train image classifiers and generative image models, fine-tune language models, and push the boundaries of robustness and efficiency.

You will collaborate with leading AI researchers on challenging projects, balancing research with practical deployment constraints and delivering high-impact results.

Qualifications

• 3+ years of machine learning research experience (PhD counts).
• Strong experience with PyTorch, JAX, TensorFlow, or similar ML frameworks.

Responsibilities

• Train and improve deep learning models end-to-end across vision and language.
• Tackle well-scoped empirical ML research problems with hands-on experimentation.
• Diagnose training issues and optimize model performance under data and compute constraints.

Job description

Mercor is seeking experienced machine learning researchers to work on deep learning models across vision and language. You will train image classifiers and generative image models, fine-tune language models, and push the boundaries of robustness and efficiency.

You will collaborate with leading AI researchers on challenging projects, balancing research with practical deployment constraints and delivering high-impact results.