Lead Machine Learning Engineer (MLOps)

1 Month ago • All levels • Research Development

Job Summary

Job Description

Tide is seeking a Lead Machine Learning Engineer (MLOps) to join their business management platform team. The role involves translating requirements into well-engineered solutions, architecting, deploying, and maintaining backend services with a "build it, own it" mentality. You will integrate pre-trained ML models into services and collaborate with cross-functional teams to ensure efficient project execution and deliver value to members. Regular alignment with target architecture and complex multi-domain initiatives is expected. The position emphasizes working closely with product owners, backend engineers (Java & Python), and data scientists.
Must have:
  • Proven work experience as a Backend Python Engineer (Senior/Lead)
  • Understanding of software engineering fundamentals (OOP, SOLID, etc.)
  • Hands-on experience with frameworks like Django, FastAPI, or FlaskAPI
  • Extensive experience integrating with or creating REST APIs
  • Experience with creating and maintaining CI/CD pipelines (GitHub Actions)
  • Experience with event-driven architectures
  • Experience with AWS
Good to have:
  • Experience with integrating ML models
  • Experience with Databricks
  • Experience with ML feature store solutions
  • Experience with Kafka or other message brokers

Job Details

ABOUT TIDE

At Tide, we are building a business management  platform designed to save small businesses time and money. We provide our members with business accounts and related banking services, but also a comprehensive set of connected administrative solutions from invoicing to accounting.


Launched in 2017, Tide is now used by over 1 million small businesses across the world and is available to UK, Indian and German SMEs. Headquartered in central London, with offices in Sofia, Hyderabad, Delhi, Berlin and Belgrade, Tide employs over 2,000 employees.


Tide is rapidly growing, expanding into new products and markets and always looking for passionate and driven people. Join us in our mission to empower small businesses and help them save time and money.

ABOUT THE ROLE

As a Lead ML 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

WHAT WE ARE LOOKING FOR 

  • 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 GitHub 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)

OUR TECH STACK (You don’t have to excel in all, but willing to learn them):

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

TIDEAN WAYS OF WORKING

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

TIDE IS A PLACE FOR EVERYONE

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.

 

You personal data will be processed by Tide for recruitment purposes and in accordance with Tide's Recruitment Privacy Notice.

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About The Company

Tide is the leading provider of UK small business (SMEs) accounts and one of the fastest-growing fintechs in the UK. Tide is live in the UK and India with over 650,000 members in the UK and more than 350,000 in India.


Tide is transforming the small business banking market. Our platform not only offers business accounts and related banking services, but also a comprehensive set of highly connected admin tools for businesses, such as full integration with accounting systems (live for our UK members, many are live in India, and coming soon to Germany). 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 help SMEs save both time and money.

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