Lead Machine Learning Engineer

The Hexwired Recruitment Agency
London, United Kingdom
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
£200,000 - £300,000
Working hours
Regular working hours
Job source

Tech stack

Computer-Aided Design Artificial Intelligence C++ (Programming Language) Linux on Embedded Systems Field-Programmable Gate Array (FPGA) Python (Programming Language) Machine Learning Systems Architecture Large Language Models Golang

Job description

As Lead Machine Learning Engineer, you will take ownership of machine learning projects from experimentation through to production, building reliable, scalable systems using Python and Large Language Models (LLMs).

Requirements

  • Strong Python programming skills and experience building production-ready software
  • Practical experience working with LLMs and modern machine learning techniques
  • Solid understanding of machine learning fundamentals, deep learning and neural network architectures as a Lead Machine Learning Engineer
  • Ability to write clean, maintainable code and troubleshoot complex technical issues
  • Understanding of model reliability, performance optimisation and deployment
  • Experience providing technical leadership to ML engineers as a Lead Machine Learning Engineer, including mentoring and guiding them through technical design
  • Ability to make architecture decisions and design ML system architecture as the Lead Machine Learning Engineer
  • Experience leading code reviews and setting engineering standards across a team
  • Ability to work with research and application engineering teams to improve model performance in production
  • A proactive approach to problem-solving and the ability to thrive in a fast-paced environment

About the company

At Hexwired Recruitment, a technology recruitment agency in London, we take pride in being one of the leading tech recruitment agencies.

We specialise in technical job placements across various sectors, including Aerospace Defence Energy Electronics Manufacturing Semiconductor Automotive Renewable energy IOT Space Robotics Telecoms Artificial Intelligence Wind Energy Fintech Broadcast Audio and Video and Media.

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