Job Search and Career Advice Platform

Enable job alerts via email!

ML Engineer – Build Scalable ML Tools (Hybrid Manchester)

Datatech Analytics

Manchester

On-site

GBP 60,000 - 80,000

Full time

Today
Be an early applicant

Generate a tailored resume in minutes

Land an interview and earn more. Learn more

Job summary

A major organisation in data analytics is seeking a Machine Learning Engineer to design and operationalise Python-based modelling tools. You will collaborate with teams to create efficient processes for model deployment, while contributing to engineering maturity. This role offers a fast-paced and collaborative environment with hybrid working options. Candidates must have experience with Python and a drive for continuous improvement in engineering practices.

Qualifications

  • Strong experience building data software products using Python and Git.
  • A mindset of continual improvement and a passion for reliable, scalable engineering.
  • The ability to collaborate effectively with both technical and non-technical colleagues.
  • Experience delivering in a fast-moving commercial environment.

Responsibilities

  • Develop and operationalise Python-based modelling tools and frameworks.
  • Create tools, APIs and processes for deploying ML and statistical models.
  • Support teams with standardised modelling approaches.
  • Help raise engineering maturity through best practices.

Skills

Python programming
Git
Collaboration
Problem-solving
Continuous improvement mindset
Job description
A major organisation in data analytics is seeking a Machine Learning Engineer to design and operationalise Python-based modelling tools. You will collaborate with teams to create efficient processes for model deployment, while contributing to engineering maturity. This role offers a fast-paced and collaborative environment with hybrid working options. Candidates must have experience with Python and a drive for continuous improvement in engineering practices.
Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.