Lead Engineer, Python; ML

At Tide we help SMEs save time (and money) in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions from invoicing to accounting.

Tide is transforming the small business banking market with over 1.8 million members globally across the UK, India, Germany and France.

Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data-driven decisions to serve our mission: to help SMEs save both time (and money) so they can get back to doing what they love.

• Tide is available for UK, Indian, German and French SMEs
• Over 1.8 million members: 800,000 UK and 1,000,000 in India and growing rapidly
• Over $300 million raised in funding
• Over 2,500 Tideans globally - we’re diversity champions!
• We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram and New Delhi, and in Berlin, Paris and Luxembourg.

As a Lead Engineer you’ll be:

• Working closely with product owners, other backend (Java & Python) engineers, data scientist and other business members to translate requirements into well-engineered solutions
• Architect, design, test, implement, deploy, monitor and maintain end-to-end backend services. You build it, you own it mentality.
• Integrate already trained ML models in some of the services you develop.
• Work with people from other teams and departments on a day to day basis to ensure efficient project execution with a focus on delivering value to our members.
• Regularly aligning your team’s vision and roadmap with the target architecture within your domain and to ensure the success of complex multi domain initiatives

• Proven work experience as a Backend Python Engineer (Senior/Lead)
• Understanding of software engineering fundamentals (OOP, SOLID, etc.)
• Hands‑on experience with frameworks such as Django, FastAPI or FlaskAPI
• Extensive experience integrating with or creating REST APIs
• Experience with creating and maintaining CI/CD pipelines - we use Git Hub Actions.
• Experience with event‑driven architectures
• Experience with AWS
• (Great to have) Experience with integrating ML models, Databricks, ML feature store solutions, Kafka (or other message brokers)

• Databricks on AWS
• Kafka
• ArgoCD
• Data Dog
• Python Flask
• Snowflake
• Tecton - feature store

At Tide, we champion a flexible workplace model that supports both in‑person and remote work to cater to the specific needs of our different teams.

While remote work is supported, we believe in the power of face‑to‑face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team‑building, where we encourage regular in‑person gatherings to foster a strong sense of community.

#LI-MP1

At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently‑abled status. We celebrate diversity in our workforce as a cornerstone of our success.

Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members’ diverse needs and lives.

We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard.

At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone’s voice is heard.

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