Senior Machine Learning Engineer New Utrecht

SurePay; Utrecht; Hybrid; EUR 90,000 - 135,000; Full time

Benefits offered by this job

Salary + benefits budget

Holidays

Hybrid work setup

MacBook Pro & iPhone

Travel covered

Pension plan

Culture of ownership

Fridays & meetups

Diverse team

Job summary

SurePay is expanding its Fraud Risk Intelligence team in Utrecht. We seek a Senior ML Designer/Engineer to architect and scale an enterprise-grade ML platform handling sub-millisecond real-time processing, combining supervised models, anomaly detection, and rule-based engines.

You will bridge data science, engineering, and product leadership, shaping real-time data streams, feature stores, and robust MLOps workflows using AWS SageMaker and IaC.

Qualifications

• 8+ years of software engineering and MLOps experience.
• Proven track record bringing ML models to production at scale.
• Balance of software engineering, cloud infrastructure and data science literacy.
• Familiarity with fraud/AML risk platforms (welcome).

Responsibilities

• Product Discovery & Sparring: Partner with Data Scientists to connect implementations with client requirements and business context.
• Data Science Enablement: Guide packaging and deployment of ML models to production in a clean, modular way.
• API & Product Integration: Design high-performance microservice APIs with sub-millisecond latency.
• Data Platform Evolution: Shape real-time data streaming and online feature store management.
• MLOps & Infrastructure Ownership: Architect, deploy and maintain AWS MLOps infra using IaC and SageMaker.
• Model Emulation & Operations: Set up monitoring, drift detection and continuous training loops.

Skills

AWS & MLOps Infra

Production Python

Real-Time Data

ML Frameworks

Prototype & Iterate

System Resilience

Communication

Tools

PyTorch

TensorFlow

Scikit-learn

Apache Spark

AWS SageMaker

Terraform

Job description

Founded in 2016, SurePay is the leading account verification platform, relied upon by 250+ banks and thousands of organizations, to prevent fraud, misdirected payments, and reputational damage. Headquartered in Utrecht, we are scaling our platform and our team across Europe and beyond.

About the role

As part of SurePay’s strategic growth, we are expanding beyond our core Account Verification services to launch an integrated suite of actionable Fraud and AML risk intelligence products. To drive this, we have established a dedicated domain: Fraud Risk Intelligence.

You will join a focused cross-functional team of Engineers, Data Scientists, and Product Managers developing an enterprise-grade Machine Learning Platform.

Fraud detection requires split-second evaluation. The business goal of this role is to build, scale, and maintain a resilient, sub-millisecond real-time ML processing platform.

You will solve the critical challenge of converting experimental data science logic into high-performance, automated production systems—combining supervised risk models, unsupervised anomaly detection, and rule-based decision engines to stop financial crime in real time.

Responsibilities include:

• Product Discovery & Sparring: Partner with Data Scientists to understand the FRI problem space, discover new product possibilities, and connect technical implementations directly with client requirements and business context.
• Data Science Enablement: Support Data Scientists with their coding needs, guiding them on how to package and deploy ML models to production in a clean, safe, modular, and reproducible way (moving beyond raw notebook handoffs).
• API & Product Integration: Expose ML models to software engineers by designing high-performance microservice APIs with sub-millisecond latency, evolving new FrAML products according to planned market releases.
• Data Platform Evolution: Actively shape the next iteration of our internal data platform from an MLOps perspective, implementing real-time data streaming, aggregation points, and online feature store management.
• MLOps & Infrastructure Ownership: Architect, deploy, and maintain end-to-end AWS MLOps infrastructure using Infrastructure as Code (IaC), CI/CD pipelines, model emulation, and AWS SageMaker.
• Model Emulation & Operations: Set up automated monitoring, drift detection, continuous training loops, and model emulation environments to ensure low-latency API performance under heavy transactional loads.

About you

We are seeking a Senior ML Designer/Engineer with 8+ years of relevant software engineering and MLOps experience, with a proven track record of bringing ML models to production at scale. Someone who brings a practical balance of software engineering, cloud infrastructure, and data science literacy. You thrive in a discovery-driven environment, managing ambiguity to build rapid, non-over-engineered prototypes that scale cleanly.

If you have an industry background in Fraud, AML, or transactional risk scoring systems and/or familiarity with risk platforms such as NICE Actimize, RiskShield, FCRM, or Pega, that would be highly welcomed. Furthermore,

• AWS & MLOps Infrastructure: Deep hands-on experience with AWS SageMaker, Infrastructure as Code (Terraform/CloudFormation), and CI/CD pipelines for ML models.
• Production Software Engineering: Expert-level Python skills with experience building scalable microservices and sub-millisecond latency APIs.
• Real-Time Data Architectures: Hands-on experience designing real-time/streaming data pipelines and online feature stores (moving beyond batch-only processing).
• ML Frameworks: Practical proficiency packaging and deploying models using PyTorch, TensorFlow, Scikit-learn, or Apache Spark.
• Ability to quickly prototype, iterate, and adapt solutions within evolving, RFP-driven product requirements.
• Strong sense of accountability for end-to-end system resilience, from architectural design to operational maintenance.
• Excellent communication skills to interface effectively between Data Science, Data Engineering, and Product Leadership.

What we offer

• Competitive salary + 8% personal benefits budget (use it on training, more time off, or your salary)
• 25 holidays
• Hybrid working setup
• MacBook Pro, iPhone, and all the tech you need
• Travel costs covered (NS Business Card)
• Pension plan
• A culture of ownership, innovation, and autonomy
• Friday drinks, offsites, and a quarterly company meetup
• A diverse team of 35+ nationalities, driven by impact

About SurePay

• Founded in 2016
• Flat organisation and no hierarchy

SurePay makes payments easier, more personal and even more secure. We are a fast-growing FinTech SaaS company and have secured our Series A funding in September 2021. SurePay stems from an innovation program of Rabobank, started in July 2016 and has been an independent BV since the beginning of 2020. SurePay is backed by two leading investors:Rabo InvestmentsandCarlyle Europe Technology Partners. Both are highly experienced in scaling international B2B SaaS and FinTech companies. Their support reinforces SurePay’s mission to prevent payment fraud globally and accelerate our international growth. SurePay's core values are; We Care , Build Together , Think Forward and Be Responsible.

• We Care: We are a supportive employer and understand that health, family and safety is what really matters. We care about our employees, customers, partners and end-users. Therefore we value creating a safe workspace where everybody can be their authentic self and where we, together, work on the same mission to provide safer payments.
• Build Together : We believe in teamwork and strive towards the best results together with employees and customers. Our diversity, both personal and professional, is one of our key strengths.
• Think Forward : We are frontrunners and are on top of our game. Our customers can rely on innovative solutions to service their current and future needs. With a problem solving mindset, we anticipate challenges and adapt to a fast changing environment.
• Be Responsible : We all contribute to reaching our mission of reducing fraud and misdirected payments, leading to a positive impact on society. We take responsibility, show ownership and make honest decisions.