Starling is the UKs 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.
Were a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. Were a bank, but better: fairer, easier to use, and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff, and Manchester offices.
Our technologists are at the heart of Starling and enjoy working in a fast-paced environment focused on building innovative solutions and disruptive technology that keeps us at the forefront of fintech. We operate a flat structure to empower decision-making, with a culture of innovation and collaboration. Support is always available within our open culture, fostering teamwork and shared goals.
Success at Starling involves being self-driven, taking ownership of your work—from building and designing to sharing knowledge and ensuring efficient processes to deliver the best for our customers. Our purpose is supported by our five values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.
Hybrid Working
We have a hybrid approach: ideally, youre within commuting distance of an office to facilitate in-person collaboration. In Technology, we ask that you attend the office at least 1 day per week.
Our Data Environment
Our Data teams cover Banking Services & Products, Customer Identity & Financial Crime, and Data & ML Engineering. They are passionate about delivering impactful insights to the business and our customers. Check out our latest blogs and case studies with Women in Tech for more insights.
We seek talented engineers at all levels who are engaged, caring about customers and code, and capable of working across teams to drive innovation and improve banking for good.
About The Role
The ML Projects team is at the forefront of integrating cutting-edge machine learning into Starlings core operations. As a software engineer, you will collaborate with engineers and data scientists to design, implement, and maintain features utilizing machine learning models, from creating new ML-powered features to integrating models into our banking platform. You may also work on designing infrastructure or exploring new approaches to complex problems.
We empower our engineers to own their solutions from ideation to launch, providing autonomy to shape your path, identify challenges, and collaborate across teams to deliver impactful solutions using various technologies.
Requirements
We are looking for a skilled software engineer with experience in building and scaling complex systems, and a proven track record of delivering robust applications in an enterprise environment. We value aptitude and attitude over specific qualifications and emphasize clean coding, simple solutions, automated testing, and continuous deployment. If you enjoy solving difficult technical problems elegantly, wed love to hear from you.
The main parts of our tech stack include:
* Python
* Java (majority of backend code)
* JavaScript & React (frontend)
* Postgres & SQL
* AWS & GCP (cloud-native)
* TeamCity for CI/CD
* Terraform
* Prometheus & Grafana
If youve built complex Python applications or have experience with generative AI, were especially keen to hear from you, as we are always pushing AI/ML boundaries.
Interview Process
Our interview process is conversational, giving you a chance to get to know us as much as we want to understand you. It typically includes:
* Stage 1: 45 mins with a team member
* Stage 2: Take-home challenge
* Stage 3: 90 mins technical interview with two team members
* Stage 4: 45 mins final interview with two executives
Benefits
* 33 days holiday (including public holidays)
* Extra day off for your birthday
* Annual leave increases with service; options to buy/sell days
* 16 hours paid volunteering annually
* Salary sacrifice, pension scheme
* Life insurance (4x salary), income protection
* Private Medical Insurance & mental health support
* Partner benefits, discounts, wellness programs
* Family-friendly policies
* Referral incentives
* Perkbox membership for discounts and wellness
* Initiatives like Cycle to Work, Gym partnerships, EV leasing
About Us
Were open to discussions on flexible working and encourage applications from diverse backgrounds. We are committed to diversity and inclusion, considering all applicants without regard to protected characteristics. By applying, you consent to our data processing as described in our Privacy Notice.
J-18808-Ljbffr