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Senior Machine Learning Engineer

Understanding Recruitment
Posted 14 days ago
Location

Bedford, Bedfordshire MK45 3EF

Salary

£55,000 - £85,000 per annum

info
Contract type

Full Time

Senior Machine Learning Engineer - Remote

As a Senior Machine Learning Engineer do you want to work with a leading provider of customer engagement solutions?

As a Senior Machine Learning Engineer you will have the opportunity to join a high-growth organisation providing customised software solutions that accelerates and simplifies the journey of digital transformation.

Your role:

As a Senior Machine Learning Engineer, your role will be pivotal in designing, developing, testing, maintaining, and supporting software components using Python.

You will be leading the development of AI projects taking ownership and driving innovation of development tasks.

You'll be maintaining and enhancing CI/CD pipelines alongside architecting and managing cloud infrastructure using Terraform

We'd love to see these skills from you:

  • Proficiency in Python
  • Strong NLP experience - NumPy, Pandas etc.
  • Commercial experience leveraging open-source models, finetuning LLMs & RAG pipelines
  • Expertise in learning algorithms, neural networks and ML frameworks (TensorFlow, PyTorch etc.)
  • MLOps experience

Nice to have:

  • Familiarity with Git or other Version Control Systems
  • Computer Vision Library exposure
  • Understanding of Big Data Technologies (Hadoop, Spark etc)
  • Experience with Cloud platforms (AWS, GCP or Azure)

This is a fully remote role, but may require very occasional travel (once a month or less) to their Bedford office.

Salary up to £75,000.

The client is unable to provide sponsorship for this position and you must be located in the UK to apply.

If you are interested, please apply.

Contact Danielle Blake on

OR for more information.

Understanding Recruitment is passionate about equity, diversity and inclusion.

We seek individuals from the widest talent pool and encourage underrepresentedtalent to apply for vacancies with us.

We are committed to recruitment processes that are fair for all, regardless ofbackground and personal characteristics.


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