Machine Learning Engineer

Wyatt Partners; West Alvington; On-site; GBP 50,000 - 80,000; Full time

Job summary

A leading Analytics software company is seeking a Machine Learning Engineer to contribute to innovative automation and AI projects. The role involves collaborating with experts to provide solutions for large organizations, emphasizing employee wellbeing with regular health sessions and team activities. Ideal candidates have a strong academic background and expertise in machine learning.

Benefits

Regular mental health, fitness & yoga sessions

Company away days

Qualifications

• Strong knowledge of machine learning algorithms.
• Proven software engineering skills with Python.
• Ability to address complex problems with technical solutions.

Responsibilities

• Develop automation, AI, NLP & Data Visualisation software products.
• Work within a talented team on solutions for Risk Management & Cyber Security.

Skills

Machine Learning Algorithms

Software Engineering

Python

Education

Strong STEM degree, ideally MSc level & above

Job description

One of Europe’s most exciting Analytics software companies is looking to hire a Machine Learning Engineer.

If your a Machine Learning expert, and are interested in working on automation, AI, NLP & Data Visualisation software products for big corporates then this role might be for you.

You will join a rapidly expanding team of experts providing valuable solutions to some of the world’s biggest organisations around Risk Management & Cyber Security.

• Strong STEM degree, ideally MSc level & above
• Good knowledge & Experience of Machine Learning Algorithms
• Strong Software Engineering skills – ideally Python
• Ability to articulate how you have solved complex problems in the past through technical solutions

You will join a hugely talented team of Machine Learning Engineers, and an employer committed to Employee wellbeing. Regular Mental health, fitness & yoga sessions are a part of the working day as well as regular company away days.

Apply now to the Machine Learning Engineer role by clicking on the link and uploading either your CV or an Executive Bio.