113 machine learning engineer jobs

Why us? Insurify is one of the America's fastest-growing MIT FinTech startups and has been recognized as one of Inc. 5,000's fastest-growing private companies in America in 2025, 2024, 2023, 2022 and 2021, Forbes Fintech 50 List for 2023, 2022, and 2021, Forbes Next Billion Dollar Startups of 2022 global and Top 100 InsurTech company. We're changing the way millions of people compare, buy and manage insurance with artificial intelligence, technology, and superior product design. Our company vision is to be recognized as the preeminent and most trusted digital agent for insurance comparison, purchase, and management. Our team is critical to achieving our vision and fostering the right culture is essential to our team's success. How you'll make an impact Work and grow in a goal-focused, impact-driven full-stack data science team Partner closely with Marketing to build more sophisticated bidding and targeting across Paid Search, Retargeting, and Email Develop models and...

Job Intro We are passionate about building scalable, reliable machine learning systems that create real customer impact. Our team blends technical excellence with enjoyment—we learn continuously, solve meaningful problems, and celebrate the solutions we deliver. With several production ML systems already live and more coming, this is a place to grow, contribute, and thrive. Job Purpose Apply deep ML engineering expertise to design and operationalise scalable, production-grade machine learning systems across the bank. This includes architecting robust data and compute infrastructure, establishing strong MLOps foundations, and enabling high-performance deployments on Azure, Databricks, AKS, Spark, Airflow and MLflow. The role advances the bank’s ML capabilities and provides technical leadership enterprise wide. Job Responsibilities Demonstrate proven cloud experience on Azure with strong system/application architecture skills (including AKS,...

Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries. Job Description Our Experian Software Solution's Analytics Services Team supports advanced analytic and generative AI products for decisioning, analytics, fraud, and identity globally. As a Machine Learning Engineer , you will design, build, and deploy cutting‑edge machine learning and generative AI solutions at scale. You will combine deep data science expertise with ML engineering and data engineering capabilities to deliver production‑ready models, prototypes, and platform capabilities. You will also partner with cross‑functional teams to support new global product...

We're looking for a Senior Machine Learning Engineer with strong computer vision expertise to join our Biometrics team. You'll ramp up on the biometrics domain while contributing to the design, training, and scaling of our ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Design and develop computer vision models and pipelines, contributing to biometrics use cases such as face detection, quality assessment, and recognition Collaborate on benchmarking of models across datasets and operating conditions Train and optimize models using PyTorch, TensorFlow, and/or JAX Contribute to end-to-end ML pipelines, from data ingestion to deployment. Help design automated pipelines (Airflow) for data ingestion and cleaning. Production Engineering: Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and support deployment on AWS. Collaborate with and mentor ML engineers, and...

We’re hiring an Machine Learning Engineer to own the reliability, scalability, and operational integrity of our machine-learning systems in research & production. This role sits at the intersection of data engineering and ML infrastructure: you’ll design and operate data pipelines that feed models, and you’ll build the tooling that trains, deploys, monitors, and retrains them. You’ll work closely with research engineers and product teams, taking models from experimentation to production-grade systems with clear SLAs, reproducibility guarantees, and observable behaviour. This is not a research role; it is a hands-on engineering role focused on making ML systems work reliably at scale. What You’ll Work On Build and operate ML lifecycle infrastructure, including model packaging, deployment, versioning, rollback, and CI/CD. Implement model monitoring, experiment tracking, and reproducibility. Build and maintain reliable batch and near-real-time data and feature pipelines,...

About Bluevine Bluevine is the largest small business banking platform in the U.S., redefining how entrepreneurs manage their money. We create modern financial solutions, from checking and lending to payments and beyond, designed to help small business owners grow, thrive, and take control of their financial future. Our best-in-class technology, advanced security, and deep understanding of the small business community give our customers the confidence to focus on what they do best. Since 2013, we’ve supported more than 750,000 small businesses nationwide. Backed by leading investors like Lightspeed Venture Partners, Menlo Ventures, 83North, and Citi Ventures, our 500+ person global team shares one mission: to give small businesses the financial tools they need to succeed. We’re innovators driven by big ideas, collaboration, and real impact. Here, you’ll have the freedom to take ownership, grow your career, and make a difference for small business owners across America. Ready to...

DRW is a technology-driven, diversified principal trading firm. We trade our own capital at our own risk, across a broad range of asset classes, instruments and strategies, in financial markets around the world. As the markets have evolved over the past 25 years, so has DRW – maximizing opportunities to include real estate, cryptoassets and venture capital. With over 1,000 employees at our Chicago headquarters and offices around the world, we work together to solve complex problems, challenge consensus and deliver meaningful results. It’s a place of high expectations, deep curiosity and thoughtful collaboration DRW is looking for highly skilled Machine Learning Engineer for an Algorithmic Trading Research Group in Tel Aviv. DRW office is located at the TLV expo center, right next to TLV University train station and offers highly competitive compensation packages. As a Machine Learning Engineer , you will be an integral member of an algorithmic trading team comprised of...

Machine Learning Engineer – (Computer Vision) We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and...

Machine Learning Engineer – Biometrics (Computer Vision) We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both...

As a Data Scientist within the Core AI Development team, you'll play a role in developing innovative Machine Learning solutions, and helping build the future of our products, services, and client experiences! You'll thrive in this role if you're curious and ambitious professional who enjoys solving sophisticated problems, exploring new technologies, and translating data into business impact. You'll work closely with cross-functional teams to deliver solutions that drive smarter decisions and measurable results. Key Responsibilities Design, develop, and implement machine learning and AI solutions that create measurable value across the organization. Transform complex data into actionable insights and recommendations for both technical and non-technical audience. Partner with business and technology teams to understand challenges, find opportunities, and deliver data-driven solutions. Communicate project progress, key findings, and business impact to partners at various...

As a Mid-Level Data Scientist reporting to the Director of Data Science, you'll play a meaningful role in crafting solutions, translating data into meaningful insights, and helping build the future of our products and client experiences. You'll thrive in this role if you're curious, data driven, and curious about technology — someone who enjoys collaborating across teams and communicating sophisticated ideas in clear, compelling ways. Key Responsibilities Design, research, and develop machine learning and AI solutions that drive measurable business outcomes across the enterprise. Translate data insights into practical, decision-ready recommendations for both technical and non-technical collaborators. Partner with key business collaborators to understand their objectives and communicate the value and impact of data science initiatives. Provide regular updates on project progress, findings, and potential impact on key performance indicators. Foster a collaborative, informed...

About The Opportunity The Virtual Assistant team is on a mission to redefine how N26 customers interact with their bank. We believe the future of banking is conversational, and we are currently making a strategic investment in Generative AI to rethink our entire ecosystem. We aren’t just looking for someone to maintain chatbots; we want a Mid-Level AI Engineer who is ready to build the next generation of intelligent, multi-channel experiences. As part of this team, you’ll help us bridge the gap between complex banking needs and seamless, human-like automation. If you’re passionate about moving beyond traditional flows and into the world of LLMs, RAG, and truly autonomous agents, we want to talk to you. Your core mission is delivery, optimized for velocity and reliability: taking proven AI/ML models, LLM prototypes, and intelligent agents and integrating them directly into our product infrastructure. You will be obsessed with scalability,...

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 AI Engineer We are looking for a Senior AI Engineer to join our AML (Anti-Money Laundering) Tech team in Amsterdam. You will help build our next-generation financial crime investigation system, leveraging AI to manage and mitigate risk at scale. With our global footprint, you will have access to a uniquely rich dataset to fuel these...

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. About Us Cadence is a pivotal leader in electronic design, building upon more than 30 years of computational software expertise. The company applies its underlying Intelligent System Design strategy to deliver software, hardware and IP that turn design concepts into reality. Cadence customers are the world’s most innovative companies, delivering extraordinary electronic products from chips to boards to systems for the most dynamic market applications including consumer, hyperscale computing, 5G communications, automotive, aerospace industrial and health. At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. Position Overview Cadence Design Systems Inc. is looking for a motivated and results driven Pre-Silicon Verification Engineer with extensive experience in function verification (formal verification and/or...

About Finom Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform. We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe. Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy,...

About Finom Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform. We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe. Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands,...

Company Description Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. Job Description More about our mission and what we offer . The team you will be working with: North America Risk The North America Risk team is a critical engine within Wise, focusing on our largest and most dynamic market: North America. About The Team Our mission is to protect our customers and the business by staying ahead of financial crime. We handle billions of volume through robust risk and fraud prevention systems that operate at the speed of our customers. What We Do...

About Lendable Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start: One of the UK’s newest unicorns with a team of just over 700 people Among the fastest-growing tech companies in the UK Profitable since 2017 Backed by top investors including Balderton Capital and Goldman Sachs Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot) So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance . We get money into our customers’ hands in minutes instead of days. We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. Join us if you want to Take ownership across a broad...

About Us Riskified empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world’s biggest brands and publicly traded companies selling online rely on Riskified for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, Riskified’s AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights. Riskified is proud to work with incredible companies in virtually all industries including Acer, Gucci, Lorna Jane, GoPro, and many more. We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact. These...

Company Description Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. Job Description More about our mission and what we offer . Join us as a Software Engineer in our critical Scam Prevention team. This is a high-impact engineering role with a strong product focus, dedicated to solving complex, real-world adversarial problems to directly protect our global customer base. How We Work The Scam Prevention Team The Scam Prevention team is on the front lines, dedicated to safeguarding our platform against sophisticated financial crime. We leverage...