At a Glance
- Tasks: Design and maintain innovative machine learning features in a collaborative team.
- Company: Join Starling, a forward-thinking company in Greater London.
- Benefits: Enjoy 33 days of holiday, personal days, and health wellness programs.
- Other info: Great work-life balance and opportunities for personal growth.
- Why this job: Be part of cutting-edge AI projects that make a real difference.
- Qualifications: Experience in building complex systems with Python and Java.
The predicted salary is between 60000 - 80000 £ per year.
Starling is seeking a software engineer to join their ML Projects team, located in Greater London. The role involves designing and maintaining machine learning features, encouraging innovation and collaboration among teams.
The ideal candidate will have extensive experience building complex systems and familiarity with a range of technologies, including Python and Java.
Benefits include 33 days of holiday, additional personal days, and comprehensive health and wellness programs, reflecting Starling's commitment to a robust work-life balance.
ML Projects Software Engineer — Build AI Features in London employer: Starling
Starling is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for software engineers passionate about machine learning. Located in Greater London, employees enjoy generous benefits such as 33 days of holiday, additional personal days, and comprehensive health and wellness programmes, all designed to support a healthy work-life balance. With ample opportunities for professional growth and development, Starling is committed to nurturing talent and empowering its team members to excel in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land ML Projects Software Engineer — Build AI Features in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Starling on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio of your ML projects, especially those using Python and Java. We want to see what you can do, so make it shine!
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on algorithms and system design. We can help with resources to ace those tricky questions.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace ML Projects Software Engineer — Build AI Features in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with machine learning and the technologies mentioned in the job description, like Python and Java. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to showcase your passion for AI features and how you can contribute to our ML Projects team. Let us know why you're excited about this role at Starling.
Showcase Your Projects:If you've worked on any relevant projects, whether personal or professional, make sure to mention them. We love seeing real examples of your work and how you've tackled complex systems in the past.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Starling
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python and Java. Brush up on your knowledge of machine learning concepts and be ready to discuss how you've applied them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in building complex systems. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your innovative solutions.
✨Emphasise Collaboration
Since the role encourages teamwork, think of examples where you’ve successfully collaborated with others. Be ready to discuss how you foster innovation within a team setting and how you handle differing opinions.
✨Ask Insightful Questions
Prepare thoughtful questions about Starling’s ML Projects team and their current initiatives. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values, especially regarding work-life balance.
