ML Software Engineer – AI-Driven Banking Platform in Manchester

ML Software Engineer – AI-Driven Banking Platform in Manchester

Manchester Full-Time 50000 - 60000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Build and scale ML-powered features for our innovative banking platform.
  • Company: Join Starling Bank, a leader in AI-driven banking solutions.
  • Benefits: Enjoy competitive pay, flexible working, and opportunities for growth.
  • Other info: Fast-paced, collaborative environment with a focus on innovation.
  • Why this job: Make a real impact in the future of banking with cutting-edge technology.
  • Qualifications: Experience in software engineering and a passion for machine learning.

The predicted salary is between 50000 - 60000 £ per year.

Starling Bank is seeking a talented software engineer to join the ML Projects team, building and scaling ML-powered features within our core banking platform.

You will work with engineers and data scientists to design, implement and maintain models in production.

We value ownership, autonomy and collaborative problem solving, with a fast-paced environment and a strong focus on robust infrastructure, testing and deployment automation across a multi-technology stack.

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ML Software Engineer – AI-Driven Banking Platform in Manchester employer: Starling

Starling is an exceptional employer that fosters a culture of collaboration and innovation, making it an ideal place for engineers to thrive. With a hybrid working model, employees enjoy flexibility while benefiting from comprehensive support for professional growth and development. The positive work environment, coupled with a commitment to clean coding practices, ensures that team members are empowered to tackle complex challenges and contribute meaningfully to the future of banking.

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Contact Details:

Starling Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land ML Software Engineer – AI-Driven Banking Platform in Manchester

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Starling or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Starling.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Starling.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Starling that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace ML Software Engineer – AI-Driven Banking Platform in Manchester

Machine Learning
Software Engineering
Model Design
Implementation
Maintenance of Production Models
Collaboration
Problem Solving

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Starling.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Starling and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Starling

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Starling uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.