Machine Learning Engineer
Lula|Posted 16 hours ago
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Skills and experience
Location and salary
Role description
At Lula, we're building innovative fintech products that help SMEs manage cash flow and run their businesses better, faster, and simpler. We're looking for passionate Machine Learning Engineers to join our team and make a real difference. You'll work at the exciting intersection of data science and engineering, where you'll build, deploy, and scale machine learning systems that power our products. Our culture embraces curiosity, collaboration, purpose, and ambition—we win as one team while delivering ambitious solutions for SMEs. In this role, you'll collaborate closely with data scientists to train and productionize machine learning models, while also rolling up your sleeves to improve our ML infrastructure through data engineering and DevOps work. You'll design robust real-time data systems that meet strict throughput and latency requirements, and implement non-functional requirements to ensure our systems run reliably at scale. This is a hands-on position where you'll apply software engineering rigor to ML operations, including CI/CD/CT, automation, and testing. We're looking for someone with proven experience productionizing ML systems and strong technical skills in Python, SQL, and Infrastructure as Code with Terraform. You should have solid hands-on experience with real-time systems like Kafka, container orchestration with Kubernetes, and CI/CD tools. Experience with Big Data technologies, MLOps tools, and cloud platforms is essential. If you're passionate about fintech and ready to build ML systems that scale, we'd love to hear from you. Please note all appointments are subject to background checks including credit and criminal checks.
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About Lula
What we do
We’re Lula. We build innovative Fintech products with the aim to help every SME to succeed. Our innovative technology has made it simpler, faster, and more human to connect SMEs to funding solutions. We’ve also recently launched two business banking accounts that help SMEs manage their cash flow better and give them an all-in-one, all-digital business banking solution with faster access to funding than ever before.
Why Work For Us
We are a technology-focused company and strive to continue to be at the cutting edge. All our projects are greenfield, and we detest red tape!
Our Culture
We Embrace Curiosity- We continuously seek better ways to deliver value with a solutions-over-problems mindset. We win as One - We collaborate, build strong relationships and value diverse perspectives. We’re Driven by Purpose - We are passionate and committed to delivering the best products and services for SMEs. We Execute with Ambition - We set ambitious goals, embrace challenges, and deliver with focus and determination.
Our Engineering Processes
To get 'techy' we work on an agile basis, flexible but the focus is on proper design. Pragmatism and deliverable's are the goal.
Our Hiring Process
This is what you can expect when interviewing with us.
Our interview process has the following stages:
We have a 4 steps interview process.
- Initial Screening interview with the Talent Lead
- On online Technical Assessment
- A Technical Screening interview with our Head of Engineering
- A Final Interview with Senior Management
A bit more about the technical assessment:
We make use of Coderbyte for all our Technical Assessments.
The assessment typically consists of 2 challenges, a couple of multiple choice questions and a few open-ended questions.
During the process, you are likely to meet the following members of our team:
The Talent Lead, The Line Manager, Team members, and Senior Management
What will they be looking for?
During different parts of the interview process you will be asked different types of questions. Let’s break it down into three main categories of questions that may be asked, namely:
- Culture fit questions: Which are aimed at assessing the alignment of candidates to the company and team culture
- Technical questions: Which are questions specific to the role in question to assess a candidate's skills and abilities in relation to the role requirements
- Competency-based questions: These are questions that ask for real-life examples to test a candidate’s skill in a particular competency.
How to make a good first impression:
Make sure the interviewer sees how you’re a good fit for the role and the company as a whole.
How long does our interview process usually take, from the first call to the offer stage?
Roughly about 2 to 4 weeks
Perks at Lula
Tech Stack
utilities
business tool
application and data
dev ops
