Senior Machine Learning Engineer

Job description

As a SENIOR MACHINE LEARNING ENGINEER would you like to work with cutting-edge technologies in a state-of-the-art data environment, while building a fintech from scratch and make the world a safer and better place at the same time?

Apply at TMNL! We offer you a very cool technical playground with all the latest technologies you need to create and accelerate our innovative, state-of-the-art transaction monitoring platform. A must-have to create the most effective detection and new insights, that will help banks, public sector and law enforcement to collectively defeat financial crime. Your responsibilities:

  • Building production-grade, fully-automated model pipelines running on terrabytes of data
  • This includes model monitoring, experiment tracking, creating reusable models and more
  • Contribute to the development and population of our feature store
  • Graph, machine learning or rule-based models? We’ve got them all!
  • Your team has end-to-end ownership of your models: you build it, you run it, you maintain it.
  • You’ll work in a cross-functional team consisting of Data Scientists, Domain Experts and Machine Learning Engineers.
  • We’re cloud-native AWS, operating on a modeling platform built around SageMaker.
  • Contribute to the MLE craft by sharing best practices and being an active member.
  • Interface with Platform Teams (Data, MLOps) to influence the future direction of the modeling platform.

Job requirements

We expect you to be very advanced in Python plus:

  • Multiple years experience building data-intensive products using Apache Spark
  • Data-focused workflow orchestrators such as Airflow, Prefect and/or SageMaker Pipelines
  • AWS (SageMaker, CodeBuild, CodePipeline, CloudFormation, Lambda, EventBridge)
  • Terraform
  • Docker
  • Experience in implementing production-grade (machine learning) model pipelines working on large data sets, including a.o. testing, monitoring and drift detection.
  • You know when to use notebooks, when not and how to go from a notebook to a pipeline
  • You have shaped the engineering direction in a few projects previously
  • You proactively engage in knowledge sharing activities, inside as well as across teams
  • Experience working in a cross-functional model development team
  • You have a hang for data pipelining and have spent a lot of time there
  • AWS Glue
  • Knowledge of / experience with MLOps principles and tools (model & data lineage, observability, feature stores, model registries…)
  • Experience in the financial industry

About TMNL

At Transaction Monitoring NL we are creating a top-notch detection and monitoring company to defeat financial crimes such as money laundering and the financing of terrorism. We are forming an energetic and inspired team, where the curious, talented minds in anti-money laundering (AML) and financial crime detection, data science, data engineering, advanced analytics, and artificial intelligence, join forces to make this possible.

At TMNL, key values like responsibility to society, constant curiosity, courageous choices, learning and growing together, are particularly important to us. Just like a strong fundament based on ethics, embracement of all backgrounds, personalities and opinions, honesty and vulnerability in our interactions and constant experimentation. This way, we will be able to detect signals and patterns of financial crimes at an unprecedented level. We aim to achieve an edge and quality in our work, and also a long-lasting societal change by finding and exposing the smartest bad actors in the financial world.

On offer

As a Sr. Machine Learning Engineer at TMNL you will experience the freshness, the freedom, the mandate, and the pace forward of a scale-up. We are based on a healthy growing ground, as we have the full dedication and support of the five largest Dutch banks from the start. We offer you a very cool playground, where you can work on barrier-breaking solutions, enabled by our innovative, state-of-the-art transaction monitoring platform. We love our work, and we also enjoy a healthy work-life balance and an excellent benefit package including:

  • Excellent salary, 13th month and holiday allowance
  • 28 vacation days
  • Hybrid working
  • Pension
  • Personal Learning and development budget
  • In 2023 we are moving to an office in Amsterdam with excellent public transport
  • A highly innovative, personal, energetic, and driven culture
  • NS 1st class Business card


Apply and meet Lucian Baghiuc, CTO at TMNL. Just click the apply button or contact Minke Apontoweil (Head of Recruitment) at / +31 638727726 for further information.