Machine Learning Engineer

Infinite Lambda is Europe’s fastest-growing data and cloud engineering consultancy. We empower leading companies to scale and become data-first through agile, cloud-native solutions and cutting-edge practices.

Our mission is to bring top professionals together to make an impact at the intersection of tech and sustainable growth.

Headquartered in London and having distributed teams based in the UK, , Hungary, Slovakia, Bulgaria, Vietnam, Singapore, Italy, Romania — and now expanding to South America — we embrace diversity and make sure everyone is happy to be their true self at work. We have already started building teams in Brazil, Argentina, and Chile, and are looking forward to welcoming more teammates to contribute to meaningful projects. Together, we can grow, learn, and experiment with the cutting-edge data and AI technology (dbt and Snowflake among others) that we are all excited about.

About The Role

At Infinite Lambda, analytics engineers turn vast amounts of data into insightful, easy-to-use, automated business intelligence reports. They work closely with both the internal team of engineers and our partners’ projects teams to deliver reports that empower business owners to make better and more informed decisions.

This role is an opportunistic hire for late Q2.2025, so please keep in mind that the process will be slower than usual. We're taking the time to find the best long-term match, ensuring efficiency for both sides.

• Contract duration: Permanent contract through EOR/B2B
• Daily Requirement: 8 hours per day, Monday to Friday
• Timezone: available to work Pacific Time Zone hours
• Location: Argentina, Chile or Brazil
• Interview process:
• Intro call with TABP: 45 minutes
• TPF (Technical Progression Framework) Interview: 90 minutes
• EPF (Engineering Progression Framework) Interview + Cultural Chat: 90 minutes
  

Requirements

This role involves serious responsibilities to both our clients and our teams. This is why the suitable applicant needs to have a specific skill set as well as considerable experience.

We are looking for candidates who are not just able to show what could work in theory but are laser-focused on the productionization and able to deliver Machine Learning models as a working application.

You need extensive familiarity with:

• 4-6 years of experience in the field of Machine Learning. Supervised Learning model experience, including classifications and regression models. Experience in deg, training and developing the modes.
• SQL and python, python machine learning libraries like scikit, pandas (fluency is a must)
• Data modeling/orchestration/transformation framework is nice to have: dbt, airflow/prefect dimensional modeling
• Cloud Platforms experience is a must: min one from AWS/G/Azure
• GenAI experience is nice to have
• Version control: Git
  
  

The following soft skills are also highly appreciated:

• You excel in client-facing interactions
• You are comfortable working in a distributed team
• You have excellent communication skills
• You love working in an agile environment
• You are a self-starter and don’t need someone to tell you what to do all the time
• You take pride in your work
  
  

Why Infinite Lambda

• We your growth with dedicated learning time, access to top-notch resources and a knowledge-sharing culture;
• You work autonomously here in a wholesome environment and get as much paid holiday as you need;
• The projects are diverse and give you plenty of opportunity to experiment with new tech;
• The benefits are plenty, with work-from-home budget, a company MacBook and more on the list.
  
  

▶ ▶ Submit your CV in English in PDF.

▶ ▶ Mind that as we are an international team, internal communication is in English.

▶ ▶ Please note that we do not sponsor visas.

Infinite Lambda is an equal opportunity employer. Our inclusive culture celebrates diversity and treats everyone with dignity and respect. Accordingly, our selection process will never discriminate against applicants on the grounds of any characteristics, such as disability, age, gender, sexual orientation, family status, race, faith or other.