Senior ML Research Scientist - Hybrid + Equity + Growth

The Opportunity Hub UK Ltd; Liverpool; Hybrid; AUD 125,000 - 176,000; Full time

Benefits offered by this job

Equity

Hybrid work from Liverpool

Learning budget

Flat structure

Flexible hours

Job summary

The Opportunity Hub UK Ltd in Liverpool is hiring a Senior Machine Learning Research Scientist to shape the future of AI & technology. You will drive research that directly informs production systems and influence product decisions.

You design experiments, translate findings into deployable models with engineers, own evaluation frameworks, review emerging papers, mentor junior researchers, and present results to non-technical stakeholders.

Qualifications

• Strong track record in applied ML research, with publications or deployments.
• Proficiency in Python and a major DL framework (PyTorch or TensorFlow).
• Ability to navigate ambiguity in startup environments.
• Judgement to prioritise research ideas and timelines.
• Excellent written and verbal communication.
• Experience mentoring or reviewing work of junior researchers.
• Ability to present findings to non-technical stakeholders.

Responsibilities

• Design and run experiments that test new model architectures against production constraints.
• Translate research findings into deployable models with engineers for production.
• Own the evaluation framework for model quality and catch regressions early.
• Read and assess emerging papers relevant to the roadmap and decide what to build.
• Mentor junior researchers and engineers on experimental rigour and ML best practices.
• Present findings to non-technical stakeholders in clear language.

Skills

Applied ML research

Python

Mentoring

Communication skills

Ambiguity tolerance

Tools

PyTorch

TensorFlow

Job description

The Opportunity Hub UK Ltd in Liverpool is hiring a Senior Machine Learning Research Scientist to shape the future of AI & technology. You will drive research that directly informs production systems and influence product decisions.

You design experiments, translate findings into deployable models with engineers, own evaluation frameworks, review emerging papers, mentor junior researchers, and present results to non-technical stakeholders.