Machine Learning Infrastructure Engineer in Amsterdam

About BlockTech BlockTech is a fast-paced algorithmic trading firm at the frontier of global cryptocurrency derivatives and spot markets. We trade 24/7 across some of the most data-rich, fast-moving venues in finance, and we use that data to build smarter models, sharper signals, and more adaptive systems. Crypto is one of the few markets where a researcher can still meaningfully move the edge. The data is abundant, the microstructure is novel, and the feedback loop between a research idea and live PnL couldn’t be shorter. We’re growing fast, and we’re looking for a Quantitative Researcher with a strong machine learning toolkit to help us push that edge further. The role As a Quantitative Researcher on our trading floor, you’ll own ideas end-to-end from hypothesis and dataset construction through feature engineering, model training and backtesting, all the way to live deployment, monitoring, and iterative improvement. You’ll sit shoulder-to-shoulder with Quantitative Traders and Quantitative Analysts, and your work will directly drive how we price and trade. You will: Collaborate closely with traders to translate research insights into systematic trading strategies Design, develop and deploy models for price prediction, signal generation, execution, and anomaly detection across crypto derivatives and spot markets using state-of-the-art AI and ML techniques. Build robust trading, backtesting and research infrastructure alongside our engineers, so promising ideas can move into production quickly and safely Own models in production: monitoring live performance, diagnosing decay, and iterating on what you ship What we're looking for A strong academic background in a quantitative discipline (Mathematics, Physics, Statistics, Computer Science, Econometrics, ML/AI, or similar), typically a PhD or an MSc with strong research experience Fluency in Python and the modern ML stack (PyTorch and/or TensorFlow, scikit-learn, NumPy, pandas) A deep, intuitive grasp of overfitting, g

About BlockTech BlockTech is a fast-paced algorithmic trading firm at the frontier of global cryptocurrency derivatives and spot markets. We trade 24/7 across some of the most data-rich, fast-moving venues in finance, and we use that data to build smarter models, sharper signals, and more adaptive systems. Crypto is one of the few markets where a researcher can still meaningfully move the edge. The data is abundant, the microstructure is novel, and the feedback loop between a research idea and live PnL couldn’t be shorter. We’re growing fast, and we’re looking for a Quantitative Researcher with a strong machine learning toolkit to help us push that edge further. The role As a Quantitative Researcher on our trading floor, you’ll own ideas end-to-end from hypothesis and dataset construction through feature engineering, model training and backtesting, all the way to live deployment, monitoring, and iterative improvement. You’ll sit shoulder-to-shoulder with Quantitative Traders and Quantitative Analysts, and your work will directly drive how we price and trade. You will: Collaborate closely with traders to translate research insights into systematic trading strategies Design, develop and deploy models for price prediction, signal generation, execution, and anomaly detection across crypto derivatives and spot markets using state-of-the-art AI and ML techniques. Build robust trading, backtesting and research infrastructure alongside our engineers, so promising ideas can move into production quickly and safely Own models in production: monitoring live performance, diagnosing decay, and iterating on what you ship What we're looking for A strong academic background in a quantitative discipline (Mathematics, Physics, Statistics, Computer Science, Econometrics, ML/AI, or similar), typically a PhD or an MSc with strong research experience Fluency in Python and the modern ML stack (PyTorch and/or TensorFlow, scikit-learn, NumPy, pandas) A deep, intuitive grasp of overfitting, g

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Head of Engineering, Adyen Protect We are seeking a visionary and highly technical Head of Engineering to lead the development and scaling of Adyen Protect . Adyen Protect is our ML-first product suite designed to detect and mitigate payment fraud in real-time across billions of transactions. In this role, you will lead a specialized domain of four high-impact engineering teams dedicated to staying ahead of increasingly sophisticated global fraud networks. You will be the strategic driver behind our risk engine, ensuring that our ML models are not only accurate and performant but also transparent and actionable for the world's largest merchants. This is a role for a leader who thrives at the intersection of big data, predictive modeling, and high-availability systems. You will be responsible for ensuring that as Adyen grows, our ability to protect our merchants and their consumers remains world-class. What you’ll do: Vision & Strategy: Define and execute the technical roadmap for Adyen Protect, aligning Machine Learning capabilities with the evolving needs of global e-commerce and regulatory landscapes. Scale ML Operations: Lead four multidisciplinary teams in building and maintaining scalable infrastructure for model training, real-time scoring, and automated experimentation (A/B testing) at the millisecond level. Engineering E

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The UK&I Solutions Engineering team guides Okta customers through their entire journey, from initial engagement to upsell and cross-sell, using their expertise in presentations, events, and meetings to ensure customers drive maximum value from our platform. We are looking for great teammates that can build sales presentations, product demonstrations, and educate customers (everyone from developers to product managers to C-level executives) on Identity Security. Okta’s Solutions Engineers empathise with customers and quickly discern their true technical needs by asking detailed and clarifying questions and presenting solutions that target those needs. You have the rare combination of technical savviness and business insight and you’re looking for a career where you can utilise both. As a Solutions Engineer at Okta, you will hone each of these skills by advising a diverse set of customers on what is possible using Okta’s Identity Platform. What you’ll be doing: Involved in all stages of the customer’s sales lifecycle in the role of trusted technical advisor. Building sales presentations, product demonstrations, and educate customers (everyone from developers to product managers to C-level executives) on the best ways to secure identity. Empathise with customers and quickly discern their true technical needs by asking detailed and clarifying questions and presenting solutions that target those needs. Using your technical savviness and business

P-1325 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. Modern data analysis employs sophisticated methods such as machine learning that go well beyond the roll-up and drill-down capabilities of traditional SQL query engines and require speed and reliability. As a software engineer on the Storage and IO team at Databricks, you will be building the next generation of our cloud storage I/O platform supporting fast and reliable reads and writes against cloud storage systems. This specialized and highly optimized platform boosts the performance and reliability of the query processing system so it can outperform even specialized query engines. What we look for: BS (or higher) in Computer Science, related technical field or equivalent practical experience. Comfortable working towards a multi-year vision with incremental deliverables. Motivated by delivering customer value and impact. 8+ years of production level experience in either Java, Scala or C++. Experience with low level systems (OS, network stacks, CPU optimizations). Strong foundation in algorithms and data structures and their real-world use cases. Experience with distributed systems, databases, and big data systems (Apache Spark, Hadoop). About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70%

P-1324 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. Modern data analysis employs sophisticated methods such as machine learning that go well beyond the roll-up and drill-down capabilities of traditional SQL query engines and require speed and reliability. As a software engineer on the Storage and IO team at Databricks, you will be building the next generation of our cloud storage I/O platform supporting fast and reliable reads and writes against cloud storage systems. This specialized and highly optimized platform boosts the performance and reliability of the query processing system so it can outperform even specialized query engines. What we look for: BS (or higher) in Computer Science, related technical field or equivalent practical experience. Comfortable working towards a multi-year vision with incremental deliverables. Motivated by delivering customer value and impact. 5+ years of production level experience in either Java, Scala or C++. Experience with low level systems (OS, network stacks, CPU optimizations). Strong foundation in algorithms and data structures and their real-world use cases. Experience with distributed systems, databases, and big data systems (Apache Spark, Hadoop). About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70%

P-1453 At Databricks, we are passionate about helping data teams solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. As an Associate Product Manager, you will join a team that works diligently to understand and solve our customers’ most challenging problems. We're hiring across all of our teams, including Machine Learning, Unity Catalog, Databricks SQL, ETL, Streaming, EDA, and Content Organization. You will have a dedicated mentor and will join our 2027 APM cohortwhere you'll connect with product managers, engineers, designers, account teams, other interns, and leaders from across the company. We are hiring for Amsterdam, Berlin and Belgrade The impact you will have: Work with a team to build features for the Databricks platform Manage your project end-to-end, including design, code, and feedback Learn about building a platform that scales quickly while maintaining quality and security What we look for: You will graduate between Fall 2026 and Summer 2027 with a bachelors or masters degree in computer science or related engineering practice You have some experience with SQL and/or Python You can leverage analytical skills to make data-driven decisions (e.g. analyze product usage) You are able to make complex topics simple and clearly communicate nuance to stakeholders (engineers, customers, field, etc.) in both written and verbal form You are excited to solve ambiguous problems with a collaborative team About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquar

P-1345 You will be the Product Manager for the Databricks Runtime team in Amsterdam. The team works at the intersection of query processing, storage, infrastructure and data governance, all key components of the Databricks data intelligence platform. As the Product Manager, you will develop a deep understanding of modern cloud infrastructure, data governance solutions, and open source components, and gather requirements from customers. You will launch features that will impact how customers process petabytes of data every day and make it simpler for them to draw value from their data. This role requires coordinating all product activities from vision to implementation, including engaging customers to understand their needs, developing long-term product strategy, defining product roadmaps, working with engineering to build those products, and coordinating with various internal stakeholders (both pre- and post-launch) to ensure product success. The impact you will have: Own the end-to-end product management process Gather customer requirements, design features and collaborate with engineering to deliver a polished market-ready product Drive launches with product marketing through blog posts, release notes, webinars Define and measure OKRs for your products Drive the prioritization and development of features, measurably reducing the cost and time needed for operating ETL and machine learning workflows. What we look for: 6+ yrs of experience Bachelors degree in Computer Science or similar field Experience in Product Management (inbound, outbound, cross-functional processes) Technical skills Solid understanding of cloud infrastructure (AWS, Azure) Strong data analysis and operationalization skills (SQL, rollups, building operational dashboards) About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks

At Graviton, every strategy, model and edge begins not with instinct, but with someone asking a better question than everyone else. As a Quantitative Research Intern, you'll spend 10-12 weeks working on research that directly shapes how we understand markets and build trading strategies. You'll collaborate with researchers and technologists to investigate market behaviour, test hypotheses, build predictive models and solve problems where the answers aren't obvious. This isn't an internship where you observe from the sidelines. Outstanding work has the potential to shape production strategies and generate real, measurable returns. Ideal candidates are quantitatively sharp, practically minded problem solvers, programmers, mathematicians and scientists who are excited to solve the hardest problems in our field, across our offices in the US, Singapore, Amsterdam and London. What You'll Work On You'll work on real research problems, not simulated exercises, discovering predictive patterns from billions of market events, designing statistical models, and applying machine learning to open research problems. Your work would include: Discovering predictive patterns from billions of market events Designing statistical models that identify trading opportunities Applying probability, optimization and machine learning to open research problems Building AI-powered research agents that accelerate experimentation Developing infrastructure for rapid, large-scale research Designing experiments and backtests to evaluate hypotheses Translating research into production-ready trading signals Exploring new ML, AI and quant finance techniques to find the next source of alpha What You'll Learn Beyond the technical exposure, you'll learn how experienced researchers approach hard problems: breaking them down, questioning assumptions, and deciding based on evidence rather than intuition. You'll be paired with a mentor, reporting manager and buddy, with regular code reviews and feedback through

At Graviton, every strategy, model and edge begins not with instinct, but with someone asking a better question than everyone else. As a PhD Quantitative Research Intern, you'll spend 10-12 weeks pointing the research skills you've spent years building at markets. You'll collaborate with researchers and technologists to investigate market behaviour, test hypotheses, build predictive models and solve problems where the answers aren't obvious. This isn't an internship where you observe from the sidelines, or re-run someone else's experiment. Outstanding work has the potential to shape production strategies and generate real, measurable returns. Ideal candidates are researchers who want to see their methods meet live markets: mathematicians, physicists, statisticians and computer scientists who are excited to solve the hardest problems in our field, across our offices in the US, Singapore, Amsterdam and London. What You'll Work On You'll work on real research problems, not simulated exercises. Your work would include: Discovering predictive patterns from billions of market events Designing statistical models that identify trading opportunities Applying probability, optimization and machine learning to open research problems Running large-scale simulations and experiments on high-performance research infrastructure Designing experiments and backtests to evaluate hypotheses Building AI-powered research agents that accelerate experimentation Developing infrastructure for rapid, large-scale research Translating research into production-ready trading signals Exploring new ML, AI and quant finance techniques to find the next source of alpha What You'll Learn Beyond the technical exposure, you'll learn what changes when research meets live markets: why a result that would survive peer review can still fail as a trading signal, how costs and capacity constrain an idea that looks clean on paper, and how to tell a model that is right from one that is right for the wrong reason.

At Graviton, we don't believe the best trading strategies come from following established playbooks. They come from asking better questions. Why does a pattern exist? What is driving it? Is it real or just noise? Can it be explained, modelled and turned into an edge? As a Quantitative Researcher, you'll work on those questions every day. You'll investigate market behaviour, develop quantitative models, build and test hypotheses and turn insights into trading strategies, working alongside researchers and technologists in an environment where an idea on a whiteboard can reach live trading quickly. This isn't a role where the answers are in a textbook. The problems are open-ended, the data is enormous, and finding the answers is the job. Ideal candidates are rigorous thinkers who genuinely enjoy mathematics, programming and figuring out things that aren't obvious, based in our Singapore, London, Amsterdam or US offices. What You'll Work On You'll work across quantitative research and systematic trading, taking ideas through the full lifecycle: question, hypothesis, experiment, model, validation, strategy, production. Depending on your team and research interests, your work would include: Discovering predictive patterns and sources of alpha from billions of market events Formulating hypotheses about market behaviour and designing experiments to test them Applying probability, statistics, optimization and machine learning to build predictive models and quantitative signals for systematic trading Designing robust backtests and statistical tests to distinguish genuine signals from noise Working with large and complex datasets to uncover patterns that aren't immediately visible Investigating market microstructure and how markets behave at different timescales Evaluating strategy performance, identifying weaknesses and continuously refining models Developing research infrastructure and AI-powered tools and agents that make experimentation faster and analysis deeper Working c

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Senior Product Manager - Data, Machine Learning and GenAI Platform 20 years of payments data is a powerful asset. But only combined with the proper platform and solid processes, it can release its full potential. That’s why the Big Data, Machine Learning and GenAI platforms, within the Application Intelligence portfolio, are key for Adyen’s success. Platform Engineering builds Adyen’s internal developer platform as a Product, enabling our internal developers to autonomously build, run and maintain secure, scalable, and reliable applications with high speed and quality. Our data platform supports the creation and evolution of different data products ( e.g. Machine Learning models, GenAI apps, data pipeline, insights dashboards), impacting both merchants and key internal processes. The platform is currently serving 600+ active users including Data Engineers, Machine Learning Scientists, Applied AI Engineers or Data Analysts. All of them use data as their main asset, at the same time they all have different needs. As a Senior Product Manager, you will directly interact with this group to understand their user journeys and identify and prioritize opportunities for the platform to improve. Your goal is to bring the data developer experience (DevEx) to the next level, setting every user persona for success while keeping

This is Adyen At Adyen, we’re engineered for ambition. We empower our teams with the culture and support they need to own their careers. The people of Adyen are motivated problem-solvers who tackle unique technical challenges at scale, delivering innovative and ethical solutions to help businesses achieve their ambitions faster. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Senior Machine Learning Engineer Adyen is looking for a Senior Machine Learning Engineer to join our Anti-Money Laundering team in Amsterdam, someone with experience of building and operating robust machine learning systems at scale in production environments. The Anti-Money Laundering team processes a massive transaction volume (over 800B euro in H1 2026) to detect complex financial crime and cover a wide range of customer risks. We currently run a hybrid stack of business rules and machine learning models, with a clear mission to systematically reduce our dependence on static rules and transition to a modern, model-first detection engine. In this role, you will: Develop and maintain production ML pipelines for data ingestion, training, validation, and deployment Help us upgrade an existing rules-heavy system to a modern automated AI/ML engine Collaborate with data engineers and data analysts to develop best in class Fintech models Collaborate with operations and compliance teams to ensure Adyen’s models operate worldwide without a hitch Tackle difficult technical challenges like extreme class imbalance and incomplete ground truth Support and encourage good engineering practices Who You Are: You have 7+ years of experience as an engineer working in th

This is Adyen At Adyen, we’re engineered for ambition. We empower our teams with the culture and support they need to own their careers. The people of Adyen are motivated problem-solvers who tackle unique technical challenges at scale, delivering innovative and ethical solutions to help businesses achieve their ambitions faster. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Senior Machine Learning Engineer Adyen is looking for a Senior Machine Learning Engineer to join our team in Amsterdam, someone with experience of building and operating robust machine learning systems at scale in production environments. You will be responsible for designing, productionizing and maintaining machine learning services that power data products at Adyen. Teams Currently Hiring: Optimise: Optimize Intelligence at Adyen is a specialized team of Machine Learning Scientists and Data Analysts focused on maximizing transaction success, minimizing transaction costs, and driving payment performance at a global scale. We build and scale advanced ML/DL solutions that operate over massive, complex decision spaces, determining the optimal path for every single transaction in real time. Our systems evaluate high-dimensional data streams to dynamically select the optimal authentication methods, apply smart payment message optimizations, and orchestrate intelligent transaction routing. Our models live-score millions of daily transactions, balancing coupled cost and performance objectives simultaneously. If you are passionate about solving intricate combinatorial challenges and pushing the boundaries of adaptive decision-making systems, join us in shaping the future

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Senior Machine Learning Scientist Adyen is looking for a Senior Machine Learning Scientist to join our team in Amsterdam, a person sitting at the cornerstone of algorithms, mathematics, and engineering, who can solve problems by designing and implementing production-ready machine learning solutions. You will be responsible for building, developing and deploying algorithms that power data products at Adyen. Teams Currently Hiring: Optimise: Optimize Intelligence at Adyen is a specialized team of Machine Learning Scientists and Data Analysts focused on maximizing transaction success, minimizing transaction costs, and driving payment performance at a global scale. We build and scale advanced ML/DL solutions that operate over massive, complex decision spaces, determining the optimal path for every single transaction in real time. Our systems evaluate high-dimensional data streams to dynamically select the optimal authentication methods, apply smart payment message optimizations, and orchestrate intelligent transaction routing. Our models live-score millions of daily transactions, balancing coupled cost and performance objectives simultaneously. If you are passionate about solving intricate combinatorial challenges and pushing the boundaries of adaptive decision-making systems, join us in shaping the future of payments. Identity an