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 programmes for work-life balance.
- Other info: Dynamic environment with opportunities for professional growth.
- Why this job: Be at the forefront of AI innovation and make a real impact.
- 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 employer: Starling
Starling is an exceptional employer that prioritises innovation and collaboration within its ML Projects team in Greater London. With a strong commitment to work-life balance, employees enjoy generous benefits such as 33 days of holiday and comprehensive health and wellness programmes, alongside ample opportunities for professional growth in a dynamic and supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land ML Projects Software Engineer — Build AI Features
✨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 your creativity and problem-solving abilities in action.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on algorithms and system design. We recommend mock interviews with friends or using online platforms.
✨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 to connect directly with us.
We think you need these skills to ace ML Projects Software Engineer — Build AI Features
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 these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you tackled them. Starling values innovation, so think about examples where you’ve implemented creative solutions or improved existing systems.
✨Emphasise Collaboration
Since the role involves working with various teams, be ready to talk about your experience in collaborative environments. Share examples of how you’ve successfully worked with others to achieve a common goal, highlighting your communication skills.
✨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 gauge if the company culture aligns with your values, especially regarding work-life balance.
