Machine Learning Engineer

Machine Learning Engineer is sought by a high growth B2B scale up based in Birmingham city centre. With data-driven creativity at its core their platform uses machine learning to turn business insights into business success.

As a Machine Learning Engineer, you’ll sit at the intersection of data science, engineering, and commercial strategy, working closely with our product and core engineering teams to translate business challenges into deployable ML solutions. You’ll have the autonomy to experiment, iterate, and bring ideas to production that directly impact revenue and user engagement.

This role would suit a Machine Learning Engineer with at least three years commercial ML/ AI experience gained working In a mission focussed, product led business.

In return this ML Engineer will receive extensive growth and personal development opportunities as the business transitions away from legacy engineering practices.

This ML Engineer should have most of the following key skills:

• Demonstrated experience delivering business impact and growth through ML solution design and development
• Proven experience in Python, TensorFlow/PyTorch, and modern ML frameworks.
• Strong background in data modelling, feature engineering, and model deployment.
• Experience with SQL, cloud platforms (AWS/GCP/Azure), and API integration.
• A commercial mindset — you think in terms of ROI, not just model accuracy.
• Excellent communication skills with the ability to influence non-technical stakeholders.
• Experience with real-time bidding systems or customer segmentation models would be a real plus

This ML Engineer will receive the following benefits:

• Base salary of between £75,000 - £90,000 DoE
• bonus scheme
• Hybrid working
• Flexible working hours
• Personal development scheme
• 25 days holiday
• Private pension & healthcare
• Fast paced, autonomous culture with extensive growth potential
• Regular remuneration reviews

So if you are a commercially minded ML engineer looking for an autonomous environment to grow your career please apply now to be considered and for further info.