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- Tasks: Lead the development of innovative machine learning solutions for small and medium-sized businesses.
- Company: Sage is a global leader in accounting and financial technology, empowering businesses with innovative solutions.
- Benefits: Enjoy a collaborative culture, opportunities for continuous learning, and impactful projects.
- Why this job: Make a real difference in business success while working with cutting-edge technologies.
- Qualifications: 6+ years in software engineering, expert in Python, cloud environments, and modern UI development.
- Other info: Join a forward-thinking team that values creativity and innovation.
The predicted salary is between 48000 - 72000 £ per year.
About Sage: Sage is a global leader in accounting, financial, HR, and payroll technology for small and medium-sized businesses. Our mission is to empower business owners and accountants with innovative solutions that simplify complex processes, enabling them to focus on what truly matters. With a commitment to excellence and a passion for customer success, we continue to lead the way in transforming the way businesses operate.
Role Overview: Are you a visionary software engineer with a passion for machine learning? Join our dynamic team in London as a Principal Software Engineer and help us build cutting-edge machine learning solutions that empower businesses to thrive. Collaborate with data scientists and engineers to steer the direction of our Data Science and Machine Learning efforts, making a tangible impact on the success of small and medium-sized businesses. If you thrive in a culture of continuous improvement and learning, and are excited about working with the latest technologies, apply today!
Key Responsibilities:
- Innovative Integration: Build services/APIs to seamlessly integrate ML systems with customer-facing products.
- Toolset Development: Develop internal tools to support our machine learning systems and enhance our efficiency.
- Collaborative Enhancement: Work with our AI Infrastructure team to extend the capabilities of our machine learning platform and tools.
- Reusable Solutions: Design and build reusable code and packages to streamline development processes.
- Performance Optimization: Monitor and optimize the quality and performance of our pipelines, services, and tools.
- Problem Translation: Collaborate with product managers and machine learning engineers to translate product/business problems into tractable machine learning challenges.
Skills Required:
- Extensive Experience: 6+ years of experience in building services, backend processes, and APIs in Python using tools like Flask or FastAPI.
- Technical Proficiency: Expert knowledge and experience with several relevant programming languages (including Python), frameworks, and databases (such as DynamoDB and Postgres).
- Cloud Expertise: Extensive experience with cloud environments, particularly AWS.
- Modern UI Development: Experience using modern approaches to building simple interactive web UIs.
- High-Performance Coding: Ability to write highly performant code that handles large volumes of data efficiently.
- Adaptability: Willingness to adapt to significant changes in technology or environment.
- Communication Skills: Excellent written and verbal communication skills, with the ability to evaluate and explain technical details clearly.
- Independent and Mentoring: Ability to work independently and mentor other team members.
Why Join Us?
At Sage, you'll be part of a forward-thinking team that values creativity, collaboration, and innovation. You'll have the opportunity to work on projects that make a real difference in the lives of business owners and accountants, helping them succeed in a rapidly evolving world. If you're passionate about machine learning and eager to contribute to a company that leads the way in business technology, we want to hear from you!
Contact Detail:
Sage Group plc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Software Engineer
✨Tip Number 1
Familiarise yourself with Sage's mission and values. Understanding how your skills in machine learning can directly contribute to empowering small and medium-sized businesses will help you articulate your passion during interviews.
✨Tip Number 2
Network with current or former employees of Sage on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations for the Principal Software Engineer role.
✨Tip Number 3
Showcase your experience with cloud environments, particularly AWS, by preparing examples of past projects where you've successfully implemented machine learning solutions. This will demonstrate your technical proficiency and relevance to the role.
✨Tip Number 4
Prepare to discuss your approach to mentoring and collaboration. Since the role involves working with data scientists and engineers, highlighting your ability to lead and support others will set you apart as a candidate who can thrive in a team-oriented environment.
We think you need these skills to ace Principal Software Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your extensive experience in building services and APIs, particularly in Python. Emphasise your technical proficiency with relevant programming languages and cloud environments, especially AWS.
Craft a Compelling Cover Letter: In your cover letter, express your passion for machine learning and how it aligns with Sage's mission. Mention specific projects or experiences that demonstrate your ability to innovate and collaborate effectively.
Showcase Your Problem-Solving Skills: Provide examples of how you've translated complex business problems into machine learning challenges. This will illustrate your ability to work collaboratively with product managers and engineers.
Highlight Communication Skills: Since excellent communication is key for this role, include instances where you've successfully explained technical details to non-technical stakeholders or mentored team members.
How to prepare for a job interview at Sage Group plc
✨Showcase Your Technical Expertise
Be prepared to discuss your extensive experience with Python and relevant frameworks like Flask or FastAPI. Highlight specific projects where you've built services or APIs, and be ready to explain the technical challenges you faced and how you overcame them.
✨Demonstrate Your Problem-Solving Skills
Since the role involves translating business problems into machine learning challenges, think of examples where you've successfully tackled complex issues. Be ready to walk through your thought process and the steps you took to arrive at a solution.
✨Emphasise Collaboration and Mentoring
This position requires working closely with data scientists and engineers. Share experiences where you've collaborated on projects or mentored team members, showcasing your ability to communicate technical details clearly and effectively.
✨Prepare for Cloud and Performance Questions
Given the emphasis on cloud expertise, particularly with AWS, brush up on your knowledge of cloud environments. Be ready to discuss how you've optimised performance in your previous projects, especially when handling large volumes of data.
