(Senior) Machine Learning Engineer

3 weeks ago

Cambridgeshire, United Kingdom Vector Recruitment Ltd Full time €60,000 - €90,000

We have a fantastic new opportunity for a Senior Machine Learning Engineer to join a state-of-the-art R&D company based in South Cambridgeshire. You will be working across an exciting range of different cutting-edge development projects.
You’ll use your Machine learning to develop systems that apply ML to a broad range of tasks. The projects will test your broad exposure to the ML development cycle: data I/O, cleaning and preparation, rapid code prototyping, iterating model designs and deploying and packaging code into brand new products.

This role would suit a Machine Learning innovator, someone looking to push forward what is possible with ML and see their concepts develop into real world solutions and tangible cutting edge products.

In return you can expect a very competitive salary, excellent benefits package, first class R&D facilities, flexibility / hybrid working and most importantly a friendly work environment which makes going to work a pleasure. Machine Learning Engineer requirements
~1 or above degree in Computer Science, Machine Learning, Artificial Intelligence, etc
~ Recent and relevant experience working as an Machine Learning Engineer / AI Engineer
~ Strong foundation in Python
~ Excellent knowledge of ML libraries and frameworks like TensorFlow, PyTorch, Keras and
~ Experience with neural network architectures, deep learning techniques, and building and training deep learning models.
~ Creating and handling large datasets including pre-processing steps and familiarity with data manipulation libraries like Pandas, NumPy, and data visualization tools such as Matplotlib or Seaborn.
~ Hands-on experience of building ML solutions for resource-constrained situations and deploying to edge-processing platforms.
~ Applicant must be able to gain UK Security clearance due to the nature of some of the projects.


Salary: circa £60k - £90k + excellent bonus + benefits.
Superb relocation package for qualifying candidates

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