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- Tasks: Lead the development of innovative machine learning solutions and collaborate with a dynamic team.
- Company: Sage is a global leader in accounting and financial technology for small and medium-sized businesses.
- Benefits: Enjoy a culture of continuous improvement, creativity, and collaboration with opportunities for personal growth.
- Why this job: Make a real impact on businesses while working with cutting-edge technologies in a supportive environment.
- Qualifications: 6+ years in software engineering, expert in Python, cloud environments, and strong communication skills required.
- Other info: Join a forward-thinking team dedicated to transforming business operations through innovative solutions.
The predicted salary is between 48000 - 84000 £ 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!
Principal Software Engineer employer: Sage Group plc
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 they empower small and medium-sized businesses will help you align your experience and passion for machine learning with their goals during discussions.
✨Tip Number 2
Showcase your collaborative skills by preparing examples of past projects where you've worked closely with data scientists or engineers. This will demonstrate your ability to enhance team dynamics and contribute to innovative solutions.
✨Tip Number 3
Stay updated on the latest trends in machine learning and cloud technologies, especially AWS. Being able to discuss recent advancements or tools can set you apart as a candidate who is genuinely passionate about the field.
✨Tip Number 4
Prepare to discuss how you've optimised performance in previous roles. Be ready to share specific metrics or outcomes that highlight your ability to write high-performance code and improve system efficiency.
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 frameworks, as well as your cloud expertise, especially with 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 within a team.
Showcase Problem-Solving Skills: Provide examples in your application that illustrate your ability to translate complex business problems into machine learning challenges. Highlight any experience you have in performance optimisation and developing reusable solutions.
Highlight Communication Skills: Since excellent communication skills are crucial for this role, ensure your application reflects your ability to explain technical details clearly. Consider including instances where you've successfully mentored others or collaborated with cross-functional teams.
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
Expect questions that assess your ability to translate business problems into machine learning challenges. Prepare examples of how you've collaborated with product managers and engineers to tackle complex issues, showcasing your analytical thinking and creativity.
✨Emphasise Collaboration and Mentorship
Since the role involves working closely with data scientists and mentoring team members, share experiences where you've successfully collaborated on projects. Discuss how you've supported others in their development and contributed to a positive team environment.
✨Prepare for Cloud and Performance Questions
Given the emphasis on cloud expertise, particularly with AWS, be ready to discuss your experience in cloud environments. Additionally, prepare to talk about performance optimisation techniques you've implemented in past projects to handle large volumes of data efficiently.
