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# Technical Lead

- **Company:** Hexwired Recruitment - Engineering And Tech Recruitment Specialists
- **Location:** London, UK (Remote available)
- **Experience:** Expert
- **Salary:** £100,000.0 - £200,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, C Sharp (Programming Language), C++ (Programming Language), Logic Synthesis of Circuits, Memory Management, Linux on Embedded Systems, Field-Programmable Gate Array (FPGA), Python (Programming Language), Machine Learning, Software Deployment, Software Engineering, Pytorch, Delivery Pipeline, Large Language Models, Backend, Production Code, Machine Learning Operations, U-Boot, Golang
- **Published:** July 11, 2026
- **Apply:** https://hexwired.com/job/staff-machine-learning-engineer-remote/

## About the Role

* Proven experience delivering machine learning systems into production.
 * Strong understanding of modern foundation models and large language models.
 * Experience building scalable training and inference infrastructure.
 * Excellent software engineering skills with a focus on maintainable, production-quality code.
 * Comfortable leading technical delivery while remaining hands-on.
 * Strong communication skills and the ability to collaborate across research, engineering and product teams.

## Description

This is a senior hands-on leadership position where you'll own the execution of the company's machine learning platform, working closely with research, software engineering and product teams to build scalable, production-grade AI solutions.

Responsibilities

 * Own the end-to-end machine learning lifecycle, including data pipelines, model training, evaluation, inference and deployment.
 * Fine-tune and optimise large language models using modern techniques such as LoRA, QLoRA, supervised fine-tuning, preference optimisation and model distillation.
 * Design scalable inference infrastructure with a focus on latency, reliability and operational efficiency.
 * Build and maintain high-quality data pipelines for both synthetic and real-world datasets.
 * Develop robust evaluation frameworks covering model quality, robustness, safety and performance.
 * Optimise GPU utilisation, memory usage and inference performance for production deployments.
 * Work closely with software engineers to integrate ML capabilities into backend services and customer-facing products.
 * Lead technical delivery, mentor engineers and help shape engineering best practices.
 * Balance research ambitions with practical engineering trade-offs to deliver value quickly.

Technology

 * Python
 * PyTorch and/or JAX
 * Large-scale GPU training and inference infrastructure
 * Modern ML deployment pipelines


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