About the Company
Sage Group plc is a British multinational enterprise software company. As the UK’s largest technology company and the world’s third-largest supplier of enterprise resource planning software, Sage empowers businesses of all sizes with innovative solutions. We are committed to fostering new talent and driving the future of business technology through cutting-edge research and development, including significant investment in Artificial Intelligence and Machine Learning.
Job Description
Are you a recent graduate with a passion for Machine Learning and a desire to kick-start your career in a leading global software company? Sage Group plc is offering an exciting Machine Learning Intern – Paid Graduate Placement in Norwich. This is a unique opportunity to gain hands-on experience in a dynamic environment, working alongside experienced ML engineers and data scientists on real-world projects that impact millions of businesses worldwide. You will contribute to the design, development, and deployment of innovative ML solutions, learning best practices in data science, model building, and MLOps. We are looking for bright, motivated individuals eager to learn and make a tangible impact.
Key Responsibilities
- Assist in the collection, cleaning, and preprocessing of large datasets for machine learning models.
- Support the design, implementation, and evaluation of various machine learning algorithms.
- Contribute to the development of prototypes and proof-of-concept solutions.
- Perform exploratory data analysis to identify patterns and insights.
- Collaborate with senior ML engineers and researchers on active projects.
- Document methodologies, results, and findings in a clear and concise manner.
- Stay updated with the latest advancements in machine learning and artificial intelligence.
Required Skills
- Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field.
- Proficiency in Python programming language.
- Foundational understanding of machine learning concepts, algorithms (e.g., regression, classification, clustering), and statistical methods.
- Experience with relevant ML libraries/frameworks such as scikit-learn, TensorFlow, or PyTorch.
- Strong analytical skills and a passion for problem-solving.
- Excellent communication and collaboration skills.
Preferred Qualifications
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and their ML services.
- Knowledge of MLOps principles and tools (e.g., MLflow, Docker).
- Familiarity with data visualization tools and techniques.
- Prior experience with SQL or NoSQL databases.
- Contributions to open-source projects or relevant personal projects.
Perks & Benefits
- Competitive intern salary and paid graduate placement.
- Mentorship from industry-leading experts and senior engineers.
- Exposure to a diverse range of cutting-edge technologies and real-world business challenges.
- Opportunities for professional development and continuous learning.
- Networking events and social activities with other interns and Sage employees.
- Modern office environment with collaborative workspaces.
How to Apply
If you are interested in this position, please click the "Apply Now" button below. To ensure your application is properly considered, please prepare the following:
- An up-to-date Resume or CV
- A brief cover letter summarizing your experience and motivation
Applications are reviewed on a rolling basis. Only shortlisted candidates will be contacted for an interview.
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