Graduate Machine Learning Engineer

2 weeks ago

Newcastle upon Tyne, United Kingdom Sage Full time
Job Title

Graduate Machine Learning Engineer

Job Description

Calling all Graduates Are you looking for an opportunity to kickstart your career with industry leading training and mentoring? If so, then look no further...

We're looking for Graduate Machine Learning Engineers to join our two-year Graduate programme, giving you experience working in a FTSE 100 listed software company.
Everything we do at Sage is designed to help business flow, to help business' make decisions faster and more accurate. As part of this, we rely on our team of experts to create, develop and maintain industry leading products. And that's where you come in

We're on the hunt for our future top talent who can bring their skills and expertise to continue to drive us forward.

As the world becomes increasingly more digitalised, the importance of data and the understanding of it grows day by day. Sage Artificial Intelligence Labs (SAIL) is a nimble team within Sage building the future of cloud business management by using artificial intelligence to turbocharge our users' productivity. The SAIL team builds capabilities to help businesses make better decisions through data-powered insights.

What's in it for you?

As a part of our team, you will be crafting machine learning solutions to help steer the direction of the entire company's Data Science and Machine Learning effort. You will have chances to innovate, contribute and make an impact on the rapidly growing FinTech industry.

You will participate in the design, development, delivery, and analysis of high-quality machine learning solutions that contribute to the success of Sage and contributes intelligence to its products. You will learn how to use cutting-edge ML/AI tools such as tensorflow/pytorch, sklearn, as well as the tools that are used to run models in production - docker, kubernetes, AWS, etc.

Throughout the 2-year Graduate programme and your career at Sage, we want you to be enthusiastic about your personal development, and continuously learn new things to strive for excellence. We expect a lot from our Graduates and will encourage you to bring innovative ideas to add real value for our customers, in an environment where ambition for future progression is rewarded.

Key Responsibilities

What are we looking for?

You'll need to be a Graduate in a quantitative discipline, (applied mathematics, statistics, computer science, or similar)

Alongside this, you'll also ideally have,

• Experience using statistical and machine learning techniques.
• Experience working with SQL and relational databases.
• A keen eye for detail and an inquisitive mind to problem solve.
• You'll be resilient and determined, able to work in a fast paced, changing environment.
• As part of a global business, you'll be an effective communicator, able to collaborate with people from across the world.

These roles are based in Newcastle. You'll be in the office at least 2 days a week so will need to live in (or be willing to relocate to) an easily commutable distance.

What you can expect from the process

1. Apply online with CV
2. Complete screening and video interview (You will receive a link to complete a video interview within 1 week of applying)
3. If successful at video interview stage, you will be invited to attend an assessment centre in the summer.
4. Successful candidates will join us on 1 October 2024

Please note that due to the high volume of application, there will be a delay in receiving a response from your video interview. We thank you for your patience.

Here at Sage, we are committed to inclusivity for all, so if there any adjustments that would help you thrive in the application process or beyond, please reach out to us at earlycareers@sage.com

Function

Product

Country

United Kingdom

Office Location

Newcastle

Work Place type

Hybrid

Advert

Working at Sage means you're supporting millions of small and medium sized businesses globally with technology to work faster and smarter. We leverage the future of AI, meaning business owners spend less time doing routine tasks, like entering invoices and generating reports, and more time pursuing their ambitions.

Our colleagues are the best of the best. It's why we were awarded 2024 Best Places to Work by Glassdoor. Because to achieve extraordinary outcomes, we need extraordinary teams. This means infusing Sage with people who knock down barriers, continuously innovate, and want to experience their potential.
Learn more about working at Sage: sage.com/en-gb/company/careers/working-at-sage/
Watch a video about our culture: youtube.com/watch?v=qIoiCpZH-QE

We celebrate individuality and welcome you to join us if you embrace all backgrounds, identities, beliefs, and ways of working. If you need support applying, reach out at careers@sage.com .
Learn more about DEI at Sage: sage.com/en-gb/company/careers/diversity-equity-and-inclusion/

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