Find Your Next Job


Our Jobs

Job Ref: MLS0267

Machine Learning Scientist

Machine Learning Scientist

Cambridge – Hybrid


We are seeking a Technical Product Manager for our client that has developed a unique data science software that makes noisy data valuable. They work with leaders in various sectors to make their R&D quicker and more cost efficient. The use of this software has lead to better products and a smoother development processes. They have worked with the likes of Rolls-Royce, NASA and AstraZeneca to name but a few of their clients.

Key responsibilities

  • Work with our head of machine learning to develop new algorithms
  • Work closely with the software engineers to guarantee new tools and approaches are suitable

Essential skills

  • MSc or PhD in machine learning, computer science, statistics, mathematics, or similar field.
  • Experience in statistical analysis and machine learning.
  • Highly motivated and adaptable
  • Able to communicate both algorithms and applications
  • Familiar with python and common libraries (numpy, pandas, scipy)


  • A competitive financial package – salary plus share options
  • Flexible working arrangements
  • Scope for career development as an early team member
  • Support and resources to develop your skills and succeed in the role

For more information on this opportunity, please contact Gerald Carew at InterSTEM Recruitment.

Machine Learning Scientist

Cambridge – Hybrid

£30,000 – £50,000

Apply Now

    all our

    Latest News

    19th October 2021

    Building the talent pool your business needs

    What is a talent pool? Simplified, your talent pool is your database of potential job candidates. Those included within this database are usually of a high calibre – highly qualified and engaged, having previously e...
    Read More
    20th July 2020

    One Small Job Move, One Giant Career Leap

    July 20th marks the 51st Anniversary of NASA’s Apollo 11 Moon landing. During the 60’s and 70’s NASA embarked on nine separate missions to the moon, with six of the nine actually achieving the desired outcome of la...
    Read More
    07th July 2020

    Hiring for the future, why focus on the past?

    Just because you haven’t done it, doesn’t mean you can’t. In today’s quick-win society, it is no longer always reasonable to expect a promotion simply due to length of service. With the average duration of emp...
    Read More