Machine Learning Engineer - Understanding Recruitment : Job Details

Machine Learning Engineer

Understanding Recruitment

Job Location : London, UK

Posted on : 11/04/2024 - Valid Till : 18/04/2024

Job Description :

Machine Learning Engineer - Remote

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

As a 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 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.

We'd love to see these skills from you:

  • Proficiency in Python
  • Strong NLP experience - NumPy, Pandas
  • Commercial hands-on experience with Hugging Face and finetuning LLMs
  • Expertise in learning algorithms, neural networks and ML frameworks (TensorFlow, PyTorch)

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 £60,000.

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.

Salary : 50000 - 60000

Apply Now!

Similar Jobs ( 0)