Machine Learning Engineer
Location - Remote (UK)
Salary - £80,000
I am partnering with a product-led MarTech company building an AI-driven platform that helps teams make better decisions about digital content and performance.
The platform applies machine learning to real-world data to analyse and improve how content performs at scale, moving decision-making away from guesswork and towards measurable insight. AI is a core part of the product and is already embedded in live, customer-facing workflows, running on a cloud-native stack with strong use of Google Cloud Platform (GCP).
What You’ll Be Doing
* Lead the development and deployment of machine learning models used in a live SaaS product
* Own models end-to-end from experimentation through production deployment, monitoring, and iteration
* Work closely with product, engineering, and non-technical stakeholders to embed AI into real workflows
* Improve the scalability, reliability, and performance of existing ML systems
* Review code and architecture, setting a high engineering standard
* Analyse data and run ad-hoc studies to generate actionable insights into marketing effectiveness
What They’re Looking For
* Strong experience as a Machine Learning Engineer / AI Engineer in a product-led environment
* Advanced Python skills and hands-on experience with PyTorch, TensorFlow, or similar ML libraries
* Experience deploying and maintaining ML models in production
* Solid software engineering fundamentals (algorithms, data structures, clean code)
* Comfortable working with Docker and containerised systems
* Experience collaborating cross-functionally and owning delivery, not just models
* A mindset focused on impact, curiosity, and continuous improvement