London, England, United Kingdom · Hybrid
$88k–$111k/yr
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, spe…
Skills: Machine Learning, Python, Java, SQL, Statistical Analysis
London, England, United Kingdom · On-site
$45k–$55k/yr
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, spe…
Skills: Figma, Adobe Creative Suite, Branding, Marketing, Layout Design
London, England, United Kingdom · Remote OK
$105k–$135k/yr
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, spe…
Skills: Engineering Leadership, Mentoring, Product Mindset, OOP Languages, Java
London, England, United Kingdom · Hybrid
$105k–$135k/yr
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, spe…
Skills: Team leadership, Mentoring, Java, OOP languages, Distributed systems
London, England, United Kingdom · On-site
$111k–$145k/yr
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, spe…
Skills: Java, Go, TypeScript, Python, Software Engineering
Chūō, Japan · On-site
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, spe…
Skills: Regulatory Compliance, Licensing, Payment Systems, Banking Operations, Financial Partnerships
New York, New York, United States · On-site
$117k–$175k/yr
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, spe…
Skills: Paid Audio Advertising, Performance Marketing, Media Buying, Programmatic Advertising, Data Analysis
São Paulo, São Paulo, Brazil · Hybrid
$7k–$9k/mo
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, spe…
Skills: Okta, SailPoint, Slack, Google Workspace, Atlassian
Austin, Texas, United States · On-site
$135k–$185k/yr
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, spe…
Skills: Pricing Strategy, Financial Analysis, Product Margin Analysis, Cost Attribution, Payment Industry Knowledge
Austin, Texas, United States · Hybrid
$72k–$98k/yr
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, spe…
Skills: Customer Success, Fintech, Banking, Cross-border Payments, Operational Strategy
London, England, United Kingdom · On-site
$89k–$127k/yr
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, spe…
Skills: Financial Crime, Regulatory Compliance, Control Design, Risk Assessment, Money Laundering Regulations
London, England, United Kingdom · On-site
$72k–$105k/yr
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, spe…
Skills: Product Design, UX Design, Systems Thinking, Cross-functional Collaboration, Regulatory Compliance
London, England, United Kingdom · Hybrid
$60k–$85k/yr
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, spe…
Skills: SQL, Snowflake, Dbt, Git, Airflow
London, England, United Kingdom · On-site
$62k–$88k/yr
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, spe…
Skills: CRM Strategy, Product Communication, Data-driven Decision Making, Stakeholder Management, Brand Strategy
London, England, United Kingdom · Hybrid
$120k–$148k/yr
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, spe…
Skills: Product Management, Anti-Money Laundering, Machine Learning, LLM, Data Analysis
London, England, United Kingdom · On-site
$102k–$133k/yr
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, spe…
Skills: Product Design, Design Systems, Figma, AI Interaction Design, Prototyping
London, England, United Kingdom · On-site
$120k–$148k/yr
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, spe…
Skills: Product Management, Data Governance, Risk Management, Compliance, Stakeholder Management
Tallinn, Harju, Estonia · On-site
$3k–$4k/mo
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, spe…
Skills: Technical Support, API Troubleshooting, Webhook Management, Incident Response, SWIFT
Budapest, Central Hungary, Hungary · Hybrid
$800k–$970k/mo
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, spe…
Skills: Financial crime risk, Unusual activity reporting, Process standardization, Risk mitigation, Project management
London, England, United Kingdom · On-site
$128k–$173k/yr
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, spe…
Skills: Product Design, Team Leadership, Design Systems, Figma, Prototyping
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
You will build and maintain the integrity layer of the label platform to ensure high-quality data for Risk ML models. This involves defining statistical quality metrics, designing automated audit processes, and collaborating with cross-functional teams to improve model performance.
Candidates must hold a STEM degree and possess strong mathematical and statistical fundamentals. Proficiency in Python or Java, advanced SQL skills, and hands-on experience with the full machine learning lifecycle are required.
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.
More about our mission and what we offer.
About the role: We are looking for an IC3 Machine Learning Engineer to join our Risk ML and Intelligence team. In this role, you will be key to enabling the building of our machine learning models by focusing on the label side, building the integrity layer for our label platform.
Every machine learning model at Wise learns from two core components: features (user signals) and labels (historical tags for activity like money laundering or fraud). If our labels are inaccurate, our models learn the wrong behavior. You will be responsible for label side quality, label monitoring, statistical integrity, and designing robust audit processes to ensure our ML infrastructure learns from clean, reliable data.
How we work: At Wise, we operate with autonomous, cross-functional teams that put the customer first. We believe strong engineers can learn and adapt across tech stacks, so our interview and pair programming evaluations are language-agnostic (focused on Python or Java), allowing you to solve complex technical problems in the environment you are most comfortable with.
Building, scaling, and maintaining the integrity layer of our label platform for Risk ML models.
Defining, implementing, and monitoring statistical fundamentals and key quality metrics for data and labels.
Designing automated audit processes to evaluate and monitor label quality over time.
Working end-to-end on machine learning model training, evaluation, and pipeline deployment.
Collaborating closely with cross-functional partners across Risk Intelligence, Data Engineering, and Product.
Education: A degree in STEM (Computer Science, Mathematics, Statistics, Physics, Chemistry, Electrical Engineering, or a related quantitative field).
Statistical Integrity: Strong mathematical and statistical fundamentals with a proven track record of applying statistical analysis to complex data environments.
ML Lifecycle Expertise: Hands-on experience working across model training, evaluation, and deployment (utilizing frameworks around Machine Learning, AI, Neural Networks, or NLP).
Programming Skills: Strong proficiency in Python or Java for data scripting and production engineering, alongside advanced SQL capability.
Data Fundamentals: Solid hands-on experience building static data pipelines, conducting deep-dive data analysis, and using data visualization tools to understand statistical behavior.
Proven success in competitive machine learning environments or platforms (e.g., Kaggle, KDD competitions, or Google Summer of Code / GSoC).
Experience with specialized ML architectures such as Graph Neural Networks (GNNs), Support Vector Machines (SVM), Natural Language Processing (NLP), or Transformers/LSTMs.
Familiarity with real-time streaming data pipelines (e.g., Kafka).
Domain experience within Fintech, E-commerce, or fast-scaling tech companies.
DEI @ Wise
Wise Tech Stack (2025 update)
See what it's like to work at Wise London!
Our Engineering career map
Wise Engineering – https://medium.com/wise-engineering
Starting salary: £87,500 – £111,000 + stock equity grants (RSUs vesting over 4 years) + benefits.
Wise Benefits
Interested in more than one role? If you're interested in multiple roles, please apply for just one—the one you're most excited about. If you submit multiple applications requiring the same assessment, we'll continue your recruitment journey using your first application, and any duplicate applications will be automatically closed. This helps ensure a fair and consistent interview process. If another role feels like a better fit, you can discuss this with your recruiter during the process.
#LI-AB3 #LI-Hybrid
For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.
We're proud to have a truly international team, and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.
If you want to find out more about what it's like to work at Wise visit Wise.Jobs.
Keep up to date with life at Wise by following us on LinkedIn and Instagram.
160+ countries. 40+ currencies. Money for here, there and everywhere.
Wise is a global technology company, building the best way to move money around the world. With the Wise account people and businesses can hold 40+ currencies, move money between countries and spend money abroad. Large companies and banks use Wise technology too; an entirely new cross-border payments network that will one day power money without borders for everyone, everywhere. However you use the platform, Wise is on a mission to make your life easier and save you money. Co-founded by Kristo Käärmann and Taavet Hinrikus, Wise launched in 2011 under its original name TransferWise. It is one of the world’s fastest growing, profitable technology companies and is dual listed on Nasdaq in the US (WSE) on the London Stock Exchange under the ticker, WISE. 19 million people and businesses use Wise globally. In fiscal year 2026, Wise supported around 19 million people and businesses, processing over $240 billion in cross-border transactions and saving customers over $3 billion. For customer queries: Please note that LinkedIn is not a Wise Customer Support channel. If you would like to hear from our Customer Support team, please see our Facebook, Twitter and Instagram pages. Login to access customer support: https://wise.com/login/ FB: https://www.facebook.com/Wise/ IG:https://www.instagram.com/wiseaccount/ TW:https://twitter.com/home
Offices: The Tea Building, 56 Shoreditch High Street, London, E1 6JJ, GB · W 26th Street, New York City, US · Váci út 80, Budapest, Budapest 1133, HU · Paya Lebar Link, Geylang, Central Region, SG · Veerenni 24, Tallinn, Harjumaa 10135, EE
160+ countries. 40+ currencies. Money for here, there and everywhere.
Wise is a global technology company, building the best way to move money around the world. With the Wise account people and businesses can hold 40+ currencies, move money between countries and spend money abroad. Large companies and banks use Wise technology too; an entirely new cross-border payments network that will one day power money without borders for everyone, everywhere. However you use the platform, Wise is on a mission to make your life easier and save you money. Co-founded by Kristo Käärmann and Taavet Hinrikus, Wise launched in 2011 under its original name TransferWise. It is one of the world’s fastest growing, profitable technology companies and is dual listed on Nasdaq in the US (WSE) on the London Stock Exchange under the ticker, WISE. 19 million people and businesses use Wise globally. In fiscal year 2026, Wise supported around 19 million people and businesses, processing over $240 billion in cross-border transactions and saving customers over $3 billion. For customer queries: Please note that LinkedIn is not a Wise Customer Support channel. If you would like to hear from our Customer Support team, please see our Facebook, Twitter and Instagram pages. Login to access customer support: https://wise.com/login/ FB: https://www.facebook.com/Wise/ IG:https://www.instagram.com/wiseaccount/ TW:https://twitter.com/home
Offices: The Tea Building, 56 Shoreditch High Street, London, E1 6JJ, GB · W 26th Street, New York City, US · Váci út 80, Budapest, Budapest 1133, HU · Paya Lebar Link, Geylang, Central Region, SG · Veerenni 24, Tallinn, Harjumaa 10135, EE
