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- Tasks: Craft machine learning solutions and contribute to the company's data science efforts.
- Company: Join Sage, a leader in cloud business management, leveraging AI for productivity.
- Benefits: Enjoy hybrid work, industry-leading training, and mentorship opportunities.
- Other info: Work from our Newcastle office with a supportive and inclusive culture.
- Why this job: Make an impact in the FinTech industry while innovating with cutting-edge ML tools.
- Qualifications: Degree in a relevant STEM field; passion for machine learning and problem-solving skills.
The predicted salary is between 28800 - 48000 £ per year.
Job Title
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.
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.
Key Responsibilities
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 Newcastle office. We work on a hybrid basis with 3 days in the office per week.
What you can expect from the process
1. Apply online with a resume
2. Complete screening and video interview
3. If successful at video interview stage, you will be invited to attend an assessment centre
4. 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 at
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
Learn more about DEI at Sage: sage.com/en-gb/company/careers/diversity-equity-and-inclusion/ #J-18808-Ljbffr
Graduate Machine Learning Engineer employer: Sage Group plc
Contact Detail:
Sage Group plc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Machine Learning Engineer
✨Tip Number 1
Familiarise yourself with the latest machine learning tools and frameworks mentioned in the job description, such as TensorFlow, PyTorch, and Scikit-learn. Having hands-on experience or projects showcasing these skills can set you apart during the interview process.
✨Tip Number 2
Brush up on your SQL and relational database skills, as these are essential for data manipulation and analysis. Consider working on personal projects that involve data extraction and processing to demonstrate your proficiency.
✨Tip Number 3
Prepare to discuss your problem-solving approach and how you've collaborated with others in past projects. The role emphasises teamwork and communication, so having examples ready will show you're a great fit for their culture.
✨Tip Number 4
Research Sage AI and its impact on the FinTech industry. Understanding their products and how machine learning contributes to their success will help you articulate your interest and align your answers with their goals during the interview.
We think you need these skills to ace Graduate Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences related to machine learning and data science. Include any projects or coursework that demonstrate your proficiency in coding, statistical techniques, and tools like TensorFlow or PyTorch.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for machine learning and your eagerness to learn. Mention specific aspects of the Sage AI team that excite you and how you can contribute to their goals.
Showcase Problem-Solving Skills: In your application, provide examples of how you've approached problem-solving in past projects or studies. Highlight your ability to collaborate with others and communicate complex ideas effectively.
Prepare for the Video Interview: Practice common interview questions related to machine learning and data science. Be ready to discuss your technical skills and how you would approach real-world problems. Also, think about how you can convey your enthusiasm for the role and the company.
How to prepare for a job interview at Sage Group plc
✨Show Your Passion for Machine Learning
Make sure to express your enthusiasm for machine learning and data science during the interview. Share any personal projects or experiences that demonstrate your interest and commitment to the field.
✨Prepare for Technical Questions
Brush up on your knowledge of machine learning algorithms, coding, and debugging. Be ready to discuss your experience with tools like TensorFlow, PyTorch, and SQL, as well as how you approach problem-solving in a technical context.
✨Demonstrate Your Communication Skills
As an excellent communicator is a key requirement, practice explaining complex concepts in simple terms. Be prepared to present both qualitative and quantitative data clearly, as this will showcase your ability to convey information effectively to diverse stakeholders.
✨Emphasise Team Collaboration
Highlight your ability to work as part of a team. Share examples of how you've collaborated with others to solve problems or innovate solutions, as this role values teamwork and collective effort in driving success.