Senior Machine Learning Engineer

Senior Machine Learning Engineer

Full-Time 90000 - 160000 £ / year (est.) Working from home possible
Hexwired Recruitment

At a Glance

  • Tasks: Design and develop cutting-edge machine learning systems that tackle real-world challenges.
  • Company: Join an innovative AI tech company with a focus on next-gen solutions.
  • Benefits: Competitive salary up to £160,000, remote work, and opportunities for growth.
  • Other info: Flexible remote role with a dynamic environment and mentorship opportunities.
  • Why this job: Make a real impact in AI while working with a talented, collaborative team.
  • Qualifications: Experience in deploying ML models and strong software engineering skills required.

The predicted salary is between 90000 - 160000 £ per year.

Full Time Remote London, UK (Remote)Posted 4 weeks ago90,000 - 160,000 GBP / Year Senior Machine Learning Engineer | Remote | Salary 90,000-160,000 (flexable) |Hexwired Recruitment has partnered with an innovative AI technology company developing next-generation machine learning systems for real-world applications.

They’re looking for an experienced Machine Learning Engineer to join a small, highly technical team building production-grade AI solutions from the ground up.

The Role 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 Py Torch and/or JAXGPU-based model training and inference Modern machine learning infrastructure What We’re Looking For 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.

If you are an experienced Senior Machine Learning Engineer looking for a new remote opportunity paying a market-leading salary up to 160,000.

Apply today by contacting Hexwired Recruitment.

For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, FPGA, Python, Javascript, C#, Electronics, Secure Boot, Power Electronics, Digital Design, Machine Learning, Data Science or Simulation contact us today.

Tagged as: Machine Learning, Python

Senior Machine Learning Engineer employer: Hexwired Recruitment

As a Senior FPGA Engineer, you will thrive in a dynamic and innovative environment that values creativity and technical expertise. Our company offers competitive salaries, comprehensive benefits, and a strong commitment to employee development, ensuring you have the resources and opportunities to grow your career. Located in a vibrant tech hub, we foster a collaborative work culture that encourages teamwork and the sharing of ideas, making it an exciting place to contribute to cutting-edge projects.

Hexwired Recruitment

Contact Details:

Hexwired Recruitment Recruitment Team

We think you need these skills to ace Senior Machine Learning Engineer

Machine Learning
Python
PyTorch
JAX
GPU-based model training
Model deployment
Data preparation