Software Engineer (ML Projects)

Software Engineer (ML Projects)

Full-Time 55000 - 70000 £ / year (est.) No working from home possible
Starling Bank

At a Glance

  • Tasks: Join our ML Projects team to design and implement cutting-edge machine learning features.
  • Company: Starling Bank, the UK's first digital bank, revolutionising banking with tech.
  • Benefits: 33 days holiday, private medical insurance, and flexible working options.
  • Other info: Dynamic, inclusive culture with opportunities for personal and professional growth.
  • Why this job: Make a real impact in fintech while working with innovative technologies.
  • Qualifications: Experience in software development, especially with Python and machine learning.

The predicted salary is between 55000 - 70000 £ per year.

Starling is the UK’s first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way. We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices. Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech.

We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be; innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture; you will find support in your team and from across the business, we are in this together! The way to thrive and shine within Starling is to be a self‑driven individual and be able to take full ownership of everything around you: from building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers.

Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

Hybrid Working
We have a Hybrid approach to working here at Starling - our preference is that you’re located within a commutable distance of one of our offices so that we’re able to interact and collaborate in person.

About the Role
The ML Projects team is at the forefront of bringing cutting edge machine learning to the core of what we do at Starling. As a software engineer on the ML Projects team you will work with other engineers and data scientists to design, implement and maintain features that make use of machine learning models under the hood. This could mean anything from creating a brand‑new ML‑powered feature from scratch to seamlessly integrating a new model into our core banking platform. You might find yourself designing robust infrastructure and pipelines or discovering a completely new approach to a complex problem.

We believe in empowering our engineers to take ownership and drive solutions from ideation to launch. This means you’ll have the autonomy to shape your own path, identify challenges, and collaborate with colleagues across teams to deliver impactful solutions across a range of technologies. We’re looking for a skilled software engineer who thrives on building and scaling complex systems. You should have a proven track record of delivering robust, multi‑technology applications within an enterprise environment.

We’re open‑minded when it comes to hiring and we care more about aptitude and attitude than specific qualifications. We are very open about how we deliver software. We believe in clean coding, simple solutions, automated testing and continuous deployment. If you care enough to find elegant solutions to difficult technical problems, we’d love to hear from you.

Tech Stack
Python, Java, which makes up the majority of our backend codebase, JavaScript, particularly React, which makes up our frontend, Postgres and SQL, AWS & GCP - we’re cloud‑native, TeamCity for CI / CD (lots of teams are releasing code 15-20 times per day!), Terraform, Prometheus and Grafana. If you have built and deployed complex Python applications or have hands‑on experience with generative AI and LLMs, we would be especially keen to talk. We are moving fast in the AI space and want people who are excited to help us define what comes next.

Interview Process
Interviewing is a two‑way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:

  • Stage 1 - 45 mins with one of the team
  • Stage 2 - Take‑home challenge
  • Stage 3 - 90 mins technical interview with two team members
  • Stage 4 - 45 min final with two executives

Benefits
33 days holiday (including public holidays, which you can take when it works best for you), an extra day’s holiday for your birthday, annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off, 16 hours paid volunteering time a year, salary sacrifice, company enhanced pension scheme, life insurance at 4x your salary & group income protection, private medical insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr & Mrs Smith and Peloton, generous family‑friendly policies, incentives refer a friend scheme, Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks, access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing.

About Us
You may be put off applying for a role because you don’t tick every box. Forget that! While we can’t accommodate every flexible working request, we’re always open to discussion. So, if you’re excited about working with us, but aren’t sure if you’re 100% there yet, get in touch anyway. We’re on a mission to radically reshape banking – and that starts with our brilliant team. Whatever came before, we’re proud to bring together people of all backgrounds and experiences who love working together to solve problems.

Equal Opportunity Employer
Starling Bank is an equal opportunity employer, and we’re proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling Bank are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law.

Software Engineer (ML Projects) employer: Starling Bank

Starling Bank is an exceptional employer that champions innovation and collaboration within a dynamic, fast-paced environment. With a strong commitment to employee growth, we offer extensive benefits including generous holiday allowances, private medical insurance, and a supportive culture that empowers you to take ownership of your work. Located in vibrant cities like London, Southampton, Cardiff, and Manchester, our hybrid working model fosters both personal interaction and flexibility, making Starling a truly rewarding place to build your career in fintech.

Starling Bank

Contact Details:

Starling Bank Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Software Engineer (ML Projects)

Tip Number 1

Get to know Starling's culture and values before your interview. They love self-driven individuals who own their work, so think about how you can demonstrate that in your conversations. Show them you're not just a fit for the role, but for the team!

Tip Number 2

Prepare some thoughtful questions for your interviewers. This isn't just about them assessing you; it's your chance to see if Starling is the right place for you too. Ask about their latest ML projects or how they encourage innovation within teams.

Tip Number 3

When tackling the take-home challenge, focus on clean coding and simple solutions. Starling values elegance in problem-solving, so make sure your submission reflects that. Don't forget to document your thought process!

Tip Number 4

After your interviews, follow up with a thank-you note. Mention something specific from your conversation to show you were engaged and interested. It’s a small touch that can leave a lasting impression!

We think you need these skills to ace Software Engineer (ML Projects)

Python
Java
JavaScript
React
Postgres
SQL
AWS

Some tips for your application 🫡

Show Your Passion for Tech:When you're writing your application, let your enthusiasm for technology and machine learning shine through! We love seeing candidates who are genuinely excited about building innovative solutions and pushing the boundaries of what's possible.

Tailor Your Application:Make sure to customise your application to highlight how your skills and experiences align with our mission at Starling. Mention specific projects or technologies you've worked with that relate to the role, especially in ML and software engineering.

Be Clear and Concise:We appreciate clarity! Keep your application straightforward and to the point. Use simple language to explain your experiences and achievements, and avoid jargon unless it's relevant to the role. Remember, we want to understand your journey easily!

Apply Through Our Website:Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Starling!

How to prepare for a job interview at Starling Bank

Know Your Tech Stack

Familiarise yourself with the technologies mentioned in the job description, especially Python, Java, and cloud services like AWS and GCP. Be ready to discuss your experience with these tools and how you've used them in past projects.

Show Your Problem-Solving Skills

Prepare to discuss specific challenges you've faced in software engineering, particularly in machine learning projects. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your ability to find elegant solutions.

Ask Thoughtful Questions

Interviews are a two-way street! Prepare insightful questions about Starling's approach to innovation and collaboration. This shows your genuine interest in the company and helps you gauge if it's the right fit for you.

Embrace the Culture

Understand Starling's values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness. Be ready to share examples of how you've embodied these values in your work, as cultural fit is just as important as technical skills.