Job Reference: ML Engineer
Job Duration:
Start date: ASAP
Description:
Machine Learning Engineer| Cloud technologies
South Wales | £40,000-£60,000p/a
This is a really exciting opportunity to be part of the growing Machine Learning function within the business.
iO Associates are delighted to be workingwith a company that values career development within the business. They're looking for Machine Learning Engineers with a cloud background to join their growing team.
You'll be joining a company with an international presence offering you security and opportunity within the team to develop your career. They want to create a collaborative environment both with teams in the UK andfurther afield, so you'll be sharing your knowledge and be given the support and mentoring you need.
Technical Experience:* Domino Data Lab/Kubeflow
* AWS/GCP/Azure
* Exposure to DevOps tools including Docker/Kubernetes
* Scripting in Python/Java
* Git version control
You don't have to have comprehensive experience of all these technologies as they are happy to upskill those in areas that they haven't had commercial exposure to. What you will have is continued curiosity to keep up to date with new developments and share best practices across other teams.
Benefits:
* Share options in the company
* Generous Pension contribution
* For the parents: Childcare support
* For those on a health kick: Cycle to work, Gym, Fresh Fruit
* For the entertainment lovers: early concert tickets, discounted rugby, and more
You'll have your own reasons as to why this opportunity is the right one for you: the support of a high revenue business, career growth, and the opportunity to upskill in modern technologies may be a few.
As our client is looking to interview and on-board people remotely, do send an up to date CV and I will get in touch with you as soon as possible.
Data Engineer | Cloud technologies (AWS / GCP / Redshift / S3 / Data Pipeline / SQL / Python)
South Wales | £40,000-£60,000p/a
Industry: IT
Salary: £40000 - £60000 per annum + pension, health cover, shares
Salary Benefits: pension, health cover, shares
Vacancy Type: Permanent
Job Skills: -
Contact Name: Nona Hencken
Website: -
Direct Application URL: -