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Graduate Machine Learning Engineer
Job Description
Calling all Graduates! Are you looking for a new role with industry leading training and mentoring? We're searching for a Graduate Machine Learning Engineer to join the team,
As the world becomes increasingly more digitalised, the importance of data and the understanding of it grows day by day. Sage AI is a nimble team within Sage building the future of cloud business management by using artificial intelligence to turbocharge our users' productivity. The Sage AI team builds capabilities to help businesses make better decisions through data-powered insights.
Key Responsibilities
What will you be involved in?
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, etc. as well as the tools that are used to run models in production - docker, kubernetes, AWS, etc.
Core to the role, you will have passion and motivation for all things Data Science and Machine Learning, whilst appreciating that learning is a key part of the role, just as is the confidence to suggest recommendations and effectively communicate results to diverse groups and stakeholders.
In this role, you will pair with a dedicated mentor from Sage AI and gain hands on experience in all parts of the ML Development lifecycle in order to hone both your technical and professional skills.
Innovation will be at the heart of this role, and as such you will continually demonstrate the sharing of new idea, suggest opportunities and better ways of working.
What are we looking for?
As this is a Graduate scheme, you'll be educated to degree level in a relevant STEM Degree, with a keen interest in pursuing a career in Machine Learning.
You'll be provided with training and support throughout your career with us, so whilst the following criteria will help you thrive in role, they are not all absolute essentials.
- Inquisitive and observant with an ability to problem solve.
- Team player able to collaborate to identify problems and come up with effective solutions.
- Resilient with the determination to respond to the changing demands of the business.
- Excellent communicator, able to present both qualitative and quantitative data
- Proficient in both coding and debugging, with a desire to develop further skills.
Our ideal candidate will have experience utilising statistical and machine learning techniques as well as experience with SQL and relational databases.
This role will be based from our Ponce City Market office. We work on a hybrid basis with 3 days in the office per week.
What you can expect from the process
- Apply online with a resume
- Complete screening and video interview
- If successful at video interview stage, you will be invited to attend an assessment centre
- Successful candidates will join us in October 2025
Here at Sage, we are committed to inclusivity for all, so if there any adjustments that would help you perform at your best in the interview, or on the job, please email us atEarly.Careers@sage.com
Function
Product
Country
United States
Office Location:
Atlanta
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. 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-us/company/careers/working-at-sage/
Watch a video about our culture:youtube.com/watch?v=h1-vs3zIpnc
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 atcareers@sage.com.
Learn more about DEI at Sage:sage.com/en-us/company/careers/diversity-equity-and-inclusion/
Equal Employment Opportunity (EEO)
Sage is committed to Equal Employment Opportunity and providing reasonable accommodations to applicants with physical and/or mental disabilities.
In order to provide equal employment and advancement opportunities to all individuals, employment decisions at Sage will be based on merit, qualifications, and abilities. Sage does not discriminate in employment opportunities or practices on the basis of race, color, religion, sex, national origin, age, protected disability, veteran status, sexual orientation, gender identity, genetic information, or any other characteristic protected by applicable law.
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