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# Senior Machine Learning Engineer

- **Company:** Hexwired Recruitment Limited
- **Location:** UK (Remote available)
- **Experience:** Expert
- **Salary:** £90,000.0 - £160,000.0
- **Contract:** Permanent contract
- **Skills:** Code Review, Data Cleansing, Software Debugging, Python (Programming Language), Machine Learning, Operational Databases, Software Engineering, Pytorch, Low Latency, Production Code, Machine Learning Operations
- **Published:** September 1, 2026
- **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=2946592143-2

## About the Role

* Commercial experience building and deploying machine learning models into production.
 * Strong understanding of modern ML architectures and production challenges.
 * Excellent software engineering skills with a focus on maintainable, production-quality code.
 * Ability to work independently and take ownership of technical delivery.
 * Strong problem-solving skills and a pragmatic approach to engineering.
 * Excellent communication skills and a collaborative mindset.

## Description

This is a hands-on engineering position where you'll take ownership of key machine learning components throughout their entire lifecycle. You'll be responsible for designing, developing and deploying scalable ML systems that solve complex real-world problems.

Your responsibilities will include:

 * Designing and implementing production-ready machine learning systems.
 * Owning the full ML lifecycle, from data preparation and model training through to deployment and optimisation.
 * Translating research concepts into robust, scalable production solutions.
 * Monitoring, debugging and improving models using production data and user feedback.
 * Working closely with software engineers, researchers and product teams to deliver impactful features.
 * Mentoring other engineers through technical leadership, code reviews and best practices.
 * Building systems that balance performance, latency, reliability and scalability.

Technology

 * Python
 * PyTorch and/or JAX
 * GPU-based model training and inference
 * Modern machine learning infrastructure