Machine Learning Engineer

ComplyAdvantage; Lisboa; Híbrido; EUR 50 000 - 80 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Equity participation

Private medical insurance

Unlimited Time Off Policy

New starter budget for home office

Annual learning budget

Resumo da oferta

ComplyAdvantage in Lisbon is seeking a Machine Learning Engineer to build and productionize models, ensuring scalability and performance. You will work within a cross-functional team, integrating these models into data pipelines while collaborating with data scientists and product managers. The ideal candidate has hands-on experience with cloud platforms and a strong background in Python development. ComplyAdvantage believes in equity participation, offers private medical insurance, and supports a hybrid work model with unlimited time off.

Qualificações

• Experience maintaining and scaling machine learning applications in production environments.
• Experience building scalable backend applications, preferably with Python.
• Hands-on experience with cloud platforms or containerised infrastructure.

Responsabilidades

• Build/train and productionize machine learning models for the team.
• Integrate ML models into data pipelines to drive positive impacts for customers.
• Collaborate with a cross-functional team to design and implement intelligent services.

Conhecimentos

Machine Learning

Python

Cloud Platforms (AWS, GCP)

Data Engineering

Kubernetes

Collaboration

Ferramentas

Kafka

Databricks

Grafana

Descrição da oferta de emprego

ComplyAdvantage Technology

At Comply, we are building cutting‑edge solutions that help prevent money flowing to and from bad actors to create a safer world. Your work will allow our customers to find out who is associated with crimes, financial and political risks, what that association is, and when it occurred, and it will dynamically update their state as new information emerges across a huge range of sources.

What You Will Be Doing

• Build/train and productionize machine learning models for your squad
• Build capabilities to monitor model performance and feature drift
• Where appropriate re-use public models and techniques such as prompt engineering and RAG to reduce time to value
• Collaborate with other software engineers in a cross functional team to design and implement intelligent services
• Design software with scale, transparency and ease of operation in mind, writing maintainable, performant and well‑tested code in Python
• Integrate ML models into new and existing data pipelines to drive positive impacts for CA’s customers, including feature engineering as well as building APIs and consuming and producing event streams as inputs and outputs of models

Our Tech Stack

• Public cloud architectures, notably AWS and GCP
• Python and Kotlin in the backend and TypeScript, ES6 and React in the frontend
• Modern database technologies (e.g., Yugabyte) as well as Spark and cloud based object stores for big data processing
• Event‑sourced model powered by Kafka for our communication bus and gRPC for our intra‑service communication protocol
• Wide range of machine learning libraries, large scale hybrid columnar data stores such as Databricks, Spark for stream and big data processing in combination with Kafka, and some graph databases
• Modern observability solutions (Grafana) and deployment using ArgoCD

About you

• Experience maintaining and scaling machine learning–powered applications in production environments
• Experience building scalable backend applications (preferably with Python)
• Track record of working in multi‑disciplinary teams alongside Data Scientists, ML Engineers, and Product Managers
• Hands‑on experience with cloud platforms (AWS, Azure, or GCP) or containerised infrastructure (e.g., Kubernetes, Docker, ArgoCD, Argo Workflows)
• Strong communication skills and a collaborative mindset, with the ability to contribute to system design discussions and mentor more junior engineers

Nice to have

• Experience working with PySpark or other distributed data processing frameworks
• Background in building data‑intensive applications or distributed systems using map‑reduce style architectures
• Familiarity with event‑driven or microservice architectures

What’s in it for you

• Equity as we want you to have a part of what we are building
• Private medical insurance designed to keep you ensuring peace of mind while you excel in your career
• Unlimited Time Off Policy – a work‑life balance and focus on our well‑being are critical to keeping us performing at our best
• Hybrid approach that requires employees to be in the office for two days a week, fostering collaboration and meaningful relationships
• New starter budget to kit out your home office
• Opportunity to work on innovative projects with smart‑minded people keen to share their knowledge and continuously improve
• Annual learning budget (prorated based on start date) to drive your performance and career development

About us

Our mission is to empower every business to eliminate financial crime. By harnessing AI, a unified platform, and an extensive partner ecosystem, we help customers turn compliance into a catalyst for growth, operational resilience, and enduring regulatory trust. More than 3,000 enterprises across 75 countries rely on our end‑to‑end platform and the world’s most comprehensive financial crime risk intelligence. With full‑stack agentic automation, we help organizations automate up to 95% of KYC, AML, and sanctions reviews, cut onboarding times by 50%, reduce false positives by 70%, and handle 7x more work with the same staff. ComplyAdvantage is headquartered in London and has global hubs in New York, Lisbon, Singapore, and Cluj‑Napoca.