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Machine Learning Data Scientist (KTP Associate)

Reads like a ML Engineer role: putting models into production.

Pay
Pay not listed
Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting
Employment
Not stated

What you’ll work on

Full posting
  • Help create and deliver products that extend the operational life of controls and electrical equipment

  • Gather and analyse complex real-world data using practical experimental methods

From the employer’s posting
maximise the operational life of controls and electrical distribution equipment
Understanding of practical experimental methods to gather and analyse complex real-world data

What you’ll bring

All qualifications

Core experience

  • First class degree in Computer Science, Engineering or a maths-related subject
  • Good coverage of contemporary AI and machine learning techniques
  • Experience in high-level language programming (Python / R preferred)
  • Experience in mass data manipulation
  • Excellent analytical thinking and a methodical approach to complex problems
Qualification wording
A first class degree in Computer Science, Engineering or Maths related subject
with good coverage of contemporary AI and Machine Learning techniques
Experience in high level language programming (Python / R preferred)
Experience in mass data manipulation
Demonstrate an excellent analytical thought process and methodical approach to solve complex problems

Posting record

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Open 4 monthsWe first saw this posting 126 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jul 3, 2026126 days ago
Recorded sightings
43
Last seen by us
Nov 6, 2026
Employer says posted
Oct 2, 2019

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 126

Up longer than most. Similar jobs usually come down between day 6 and day 71.

From 4,607 similar postings that came down. Coming down is not always a hire.

University of the West of England is hiring

1 open job

  • No new data jobs since July
Hiring record

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  • Python
  • R
Where the posting names them
The ideal candidate will have: - A first class degree in Computer Science, Engineering or Maths related subject, with good coverage of contemporary AI and Machine Learning techniques - Experience in high level language programming (Python / R preferred) - Experience in mass data manipulation - Demonstrate an excellent analytical thought process and methodical approach to solve complex problems - Understanding of practical experimental methods to gather and analyse complex real-world data Please see the attached job advert and job description for further information.

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Demand for ML Engineer roles

New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.

Weekly new ML Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 624, the most 1,094, and the latest week had 870.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

Job Description

This is a fantastic opportunity to work in a collaborative partnership between UWE Bristol and Viper Innovations Ltd. under the Knowledge Transfer Partnership (KTP) programme.


Viper Innovations is an award-winning leader providing innovative technology solutions for electrical distribution systems in global industries such as oil, gas and rail.
You will work in a team developing advanced analytics algorithms for the company's next generation product. You will help Viper Innovations create and deliver innovative products and services that maximise the operational life of controls and electrical distribution equipment.


The position is a 24-month fixed term, which includes training provided by the national KTP Programme and a further GBP 2k pa dedicated training budget tailored towards your personal development. You will be supported by Dr Chris Simons and Dr Kamran Soomro from the academic team at UWE Bristol.

The ideal candidate will have:

- A first class degree in Computer Science, Engineering or Maths related subject, with good coverage of contemporary AI and Machine Learning techniques
- Experience in high level language programming (Python / R preferred)
- Experience in mass data manipulation
- Demonstrate an excellent analytical thought process and methodical approach to solve complex problems
- Understanding of practical experimental methods to gather and analyse complex real-world data

Please see the attached job advert and job description for further information.

Further information

Based at: Viper Innovations, Portishead
Salary: GBP 28,000 - GBP 35,000 plus GBP 4,000 training budget
Vacancy ref: R00641
Application closing date: 27/10/2019
Interview date: Mid-November

Source details

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Location & working pattern

Bristol, United Kingdom

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