Senior Machine Learning Engineer

We're looking for a Senior Machine Learning Engineer to join our Discovery team. Someone who's been in the trenches, built real systems, and knows what it takes to bring machine learning to production securely, scalably, and with purpose.

This is a high-impact, early-stage role where you'll shape the way we use AI across an entirely new product. It's hands-on, technical, and collaborative with space to lead, experiment, and build something meaningful.

The opportunity

This isn't a research lab or a tuning task. This is product-led ML. You'll work with real transaction data, partner with engineers and data scientists, and help us uncover signals, validate assumptions, and design the core ML systems that power fraud detection at scale.

We're dealing with:

• Real-time signals
• Messy, high-volume financial data
• High-stakes decisions
• Model explainability and ethical AI

And we need someone who can build confidently in that space.

What you'll do

• Design and build end-to-end ML systems from data ingestion to model deployment
• Prototype models that test fraud and AML hypotheses using real data
• Train, evaluate, and optimise models using frameworks like PyTorch, TensorFlow, Scikit-learn, and Spark
• Work closely with data scientists and product managers to ensure models solve the right problems
• Implement automation, CI/CD pipelines, and MLOps practices for repeatable ML delivery
• Collaborate on infrastructure and data storage architecture (we're AWS-native and IaC by default)
• Focus on model explainability, fairness, and responsible AI
• Help shape SurePay's ML foundations and mentor others as the team scales

You've done this before and not just once. You've shipped machine learning systems into production, handled messy data, iterated quickly, and made smart trade-offs between theory and practice. You work well in fast-moving, high-trust teams and care about building things that work and last., * 8+ years of professional experience in Machine Learning or Data Science roles with a strong engineering focus

• Deep knowledge of ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn, Spark)
• Demonstrated experience designing and deploying ML pipelines in production environments
• Solid understanding of cloud platforms (AWS preferred), infrastructure as code, and containerised deployment
• Familiarity with CI/CD practices for ML, MLOps tools, and model lifecycle management
• Strong instincts for model performance, explainability, and ethical design
• Excellent communication and collaboration skills. You'll work across product, data, and engineering

Bonus points

• Experience working in fraud prevention, financial crime, AML, or high-noise domains
• Familiarity with platforms like NICE Actimize, RiskShield, Pega, or FCRM
• Prompt engineering, generative AI, or LLM experimentation
• Backend engineering, data infra, or architectural experience

• 8% holiday allowance + 8% personal benefits budget (can be added to salary, training, or more time off)
• 25 holidays + flexible working hours + hybrid setup
• MacBook Pro, iPhone, and any extra tools you need
• NS Business Card & travel cost coverage
• Learning budget, pension plan, and strong development culture
• A flat, friendly, high-trust culture where you're given ownership, autonomy, and support

Why now?

This isn't just another ML role. This is a chance to shape an entire product, influence key technical decisions, and build something with real-world impact.

You'll be here from the start. Helping us design the foundation and scale it up with care.

At SurePay, we've made a name for ourselves protecting payments. We're the team behind IBAN-Name Check, used in over 10 billion transactions across Europe. Now, we're building something new. A fraud and anti-money laundering (AML) product suite that stops threats before they happen., * Founded in 2016 * ± 120 employees * ±30 nationalities * 1 office * Flat organisation and no hierarchy * (Business) Casual 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 Investments and Carlyle 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. These core values are the driver's of our culture and can be seen as guidelines on our beliefs and behaviour. It defines what we find important as a company and the way we work together everyday. * 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.