Applied Machine Learning Engineer

The Opportunity Hub UK Ltd; Town of Cambridge; Hybrid; AUD 95.000 - 148.000; Vollzeit

Benefits dieser Stelle

Private medical insurance

Pension contribution

Bonus scheme

Generous annual leave

Hybrid working

Zusammenfassung

The Opportunity Hub UK Ltd in Cambridge is seeking an ambitious Applied Machine Learning Engineer to move models from notebook to production and ensure post-deployment impact. The role sits at the heart of a growing SME building practical ML solutions for real operations.

You will design, train and deploy models, build scalable data pipelines, and collaborate with product and engineering teams to translate requirements into working systems, while monitoring performance and adjusting as needed.

Qualifikationen

• Experience building and shipping ML models in Python (PyTorch or TensorFlow).
• Lifecycle covered: data wrangling, training, evaluation, deployment, monitoring.
• Knowledge of MLOps: model versioning and reproducible pipelines.
• Ability to explain technical trade-offs to non-technical stakeholders.
• Capable of independent work while asking the right questions.

Aufgaben

• Design, train and deploy ML models to solve business problems.
• Build and maintain data pipelines feeding models at scale.
• Collaborate with product and engineering to translate requirements into working systems.
• Monitor model performance in production and retrain as needed.
• Write clean, testable code and document decisions for future teams.
• Contribute to architecture, tooling and AI practice directions.

Kenntnisse

Python

PyTorch

TensorFlow

Data wrangling

MLOps

Model deployment

Explain trade-offs

Independent work

Curiosity about AI

Tools

Git

DVC

CI/CD for ML

Jobbeschreibung

Ambitious Applied Machine Learning Engineer wanted to drive real impact in AI & Technology from Cambridge.

Cambridge has quietly become one of the UK's densest clusters for applied AI work, and this business sits right in the middle of it. Established but growing, this SME builds machine learning systems that solve genuine operational problems rather than chasing headlines. They need an Applied Machine Learning Engineer who can take a model from notebook to production and actually care what happens after deployment.

Here’s what you'll be doing:

• Design, train and deploy machine learning models that solve specific business problems, not just theoretical ones
• Build and maintain data pipelines that feed models reliably, at scale, without babysitting
• Work closely with product and engineering teams to translate vague requirements into working systems
• Monitor model performance in production and retrain or adjust when things drift
• Write clean, testable code and document your decisions so the next person understands why, not just what
• Contribute to technical discussions on architecture, tooling and where AI & Technology practices at the company should head next

Here are the skills you'll need:

• Solid experience building and shipping machine learning models in Python, ideally with PyTorch or TensorFlow
• Comfort with the full lifecycle: data wrangling, training, evaluation, deployment, monitoring
• Working knowledge of MLOps practices, including version control for models and reproducible pipelines
• A track record of explaining technical trade-offs to non-technical stakeholders without dumbing it down
• Mid-level confidence to work independently while still asking the right questions
• Genuine curiosity about where AI & Technology is heading, not just where it's been

Key perks and benefits:

• Salary of £49,500 to £77,000, depending on experience
• Hybrid working, with time split between home and the Cambridge office
• Private medical insurance and a solid pension contribution
• Bonus scheme tied to company and individual performance
• Generous annual leave and flexible working arrangements that are actually honoured, not just written down

Why pursue a career in AI & Technology?

Demand for people who can build machine learning systems that work in the real world, not just in a demo, keeps climbing. Cambridge offers a rare mix of research depth and commercial pace, which means an Applied Machine Learning Engineer based here sits close to genuine innovation without the noise of a bigger city. Progress in this field rewards people who ship, iterate and stay curious. Few sectors offer that combination of intellectual challenge and career momentum.