Machine Learning Research Scientist

The Opportunity Hub UK Ltd; Liverpool; Hybrid; AUD 125.000 - 176.000; Vollzeit

Benefits dieser Stelle

Equity

Hybrid work from Liverpool

Learning budget

Flat structure

Flexible hours

Zusammenfassung

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.

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

Applied ML research

Python

Mentoring

Communication skills

Ambiguity tolerance

Tools

PyTorch

TensorFlow

Jobbeschreibung

An exceptional opportunity for a senior Machine Learning Research Scientist to shape the future of AI & Technology in Liverpool.

Model performance plateaus the moment research stops talking to production, and most AI & Technology teams never fix that gap. This growing startup has built its product around closing it, with a small research function that gets heard at every level of the business. You'd join as Machine Learning Research Scientist at a stage where your decisions still carry real weight.

Here’s what you'll be doing:

Design and run experiments that test new model architectures against real production constraints, not just benchmark scores

Translate research findings into deployable models, working closely with engineers to get them into production quickly

Own the evaluation framework for model quality, catching regressions before customers do

Read and assess emerging papers relevant to the company's roadmap, then decide what's worth building

Mentor junior researchers and engineers on experimental rigour and good ML practice

Present findings to non-technical stakeholders in language that actually lands

Here are the skills you'll need:

A strong track record in applied machine learning research, ideally with published work or production deployments to show for it

Deep fluency in Python and at least one major deep learning framework (PyTorch or TensorFlow)

Comfort working with ambiguity. Startups rarely hand you a clean brief

The judgement to know when a research idea is worth three weeks and when it isn't worth three days

Clear written and verbal communication, especially when explaining technical tradeoffs to people outside the field

Experience mentoring or reviewing the work of less senior researchers

Key perks and benefits:

£65,000 to £91,500, depending on experience

Equity in the business, so the upside is genuinely yours too

Hybrid working from Liverpool, with flexible hours built around how you actually work best

A proper learning and development budget, not a token gesture

A flat structure where you'll wear multiple hats and shape process rather than just follow it

Why pursue a career in AI & Technology?

AI & Technology isn't slowing down, and Liverpool has quietly become one of the more interesting UK cities for it, with a growing cluster of startups willing to bet on research talent early. Pay reflects that. So does the pace of progression, since a Machine Learning Research Scientist who delivers at a startup tends to move into senior and principal roles faster than in larger, slower organisations. Good researchers are still scarce. That scarcity works in your favour.