Senior Machine Learning Engineer
Senior Machine Learning Engineer

Senior Machine Learning Engineer

City of London Full-Time 43200 - 72000 Β£ / year (est.) No home office possible
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At a Glance

  • Tasks: Build and integrate ML solutions to evaluate transactions and prevent fraud.
  • Company: Join MoonPay, a leader in the decentralized economy and crypto payments.
  • Benefits: Competitive salary, equity package, unlimited holidays, and hybrid working options.
  • Why this job: Make a real impact in the financial system while working with cutting-edge technology.
  • Qualifications: Experience in Machine Learning and familiarity with our tech stack.
  • Other info: Dynamic environment with a focus on growth and innovation.

The predicted salary is between 43200 - 72000 Β£ per year.

Overview

This job is brought to you by Jobs/Redefined, the UK\’s leading over-50s age inclusive jobs board.

Hi, we\’re MoonPay. We\’re here to onboard the world to the decentralized economy.

Why?

Because crypto and blockchain aren\’t just technologies-they\’re tools for global financial empowerment. They give people control over their money, their digital assets, and their future, unlocking opportunities that traditional systems have kept out of reach.

What we do

At MoonPay, we\’re building the infrastructure that powers this new financial system. We make it easy for anyone, anywhere, to buy, sell, and trade crypto using everyday payment methods like cards, Apple Pay, PayPal, Revolut and Venmo. We provide simple tools to send, receive, and manage stablecoins, so anyone can participate in the crypto economy confidently.

Trusted by nearly 30 million customers and over 500 companies, our secure, enterprise-grade platform is driving mainstream crypto adoption worldwide.

We collaborate with innovative brands and projects to build secure, scalable solutions for a blockchain-powered future. And we\’re committed to doing it right-fully licensed in the U.S. and regulated across the UK, EU, Canada, and Australia-because trust and compliance are non-negotiable.

But we\’re just getting started. We\’ve launched a consumer app that makes crypto accessible, intuitive, and usable for everyone, and it\’s growing fast. We\’re iterating every day to make it the best it can be.

If you believe financial freedom should be for everyone-if you believe in building a fairer, more open financial system-we want you with us. To build systems that benefit all, we need contributions from all, regardless of background.

Come build the future of payments and the decentralized economy with MoonPay. Let\’s make financial freedom and autonomy the new normal.

Locations Supported

About the Opportunity

Our engineering discipline builds the technology that enables MoonPay to learn quickly and scale easily. We organize in small cross-functional squads of 4-6 engineers and an embedded Product Manager and Product Data Analyst. We currently have squads across Crypto / NFT / Payments / FinCrime / KYC / Core Product and others. For this role, the initial focus will be on working on our FinCrime products, while mastering other product areas to then spearhead ML and AI adoption in the company.

What you will do

  • Build and integrate ML solutions for evaluating transactions and customers\’ behaviour in real-time and offline environments
  • Support multiple Crypto products with tailored ML solutions to prevent fraudulent activities
  • Experiment with various modeling techniques on our customer data and see your solution through to production by partnering cross-functionally with product, data, operations, and engineering teams
  • Analyze large datasets using SQL, Python and Apache Beam to surface features
  • Help build AI-powered automation tools or pipelines and propose improvements across the company
  • Own the full lifecycle of ML solutions: data ingestion / processing – feature engineering – model development – deployment – iteration
  • Maintain and improve our existing codebase, expanding our internal ML libraries and pipelines

What you will be working with

  • Python
  • ML feature engineering for fraud prevention
  • Gradient boosting algorithms (e.g. XGBoost/CatBoost)
  • PyTorch
  • Polars, Pandas and Numpy
  • BigQuery
  • Apache Beam
  • BigTable
  • FastAPI
  • Docker and Kubernetes
  • Kubeflow and Airflow
  • Vertex AI
  • Redis
  • Pydantic
  • DataDog
  • Github

About You

  • Experienced in Machine Learning at leading Fintech startups or fast growing tech companies
  • Confident in developing, releasing and maintaining ML models in a fast paced, iterative environment
  • Experienced with some of our tech stack, or are confident you can cross train and up skill quickly
  • Real world experience working with time series data for classification, counterfactual reasoning and adversarial models
  • Understand data structures, pipelines and big data processing for real-time consumption
  • Experienced with Cloud Native applications such as Google Cloud or similar e.g. AWS, Azure

We\’re looking for people who live our core values, those who strive for excellence and want to leave a lasting legacy on the global financial system. Our values:

  • B – Be Hungry
  • L – Level Up
  • O – Own It
  • C – Crypto Curious
  • K – Kaizen

What\\\’s in it for you

  • Competitive salary package
  • Equity package: We believe financial freedom starts with our employees, so all employees have ownership at MoonPay
  • Pay for performance equity bonus: Those who drive outsized outcomes receive outsized rewards
  • Unlimited holidays: We give you the autonomy to choose when to work (and when to switch off)
  • Hybrid working schedule: Work fully remotely or your nearest Moonbase, the choice is yours
  • Private Healthcare benefits: To protect you and your loved ones
  • Enhanced parental leave: So you can spend more time with your loved ones without a second thought
  • Annual training budget: We support your training journey every step of the way
  • Home office setup allowance: Create the home office of your dreams
  • Remote working allowance: Those working fully remotely get a little extra for utilities
  • Monthly budget to spend on our products and zero fee crypto transactions: Cultivate your inner DEGEN
  • Employee referral programme: Great people know great people, refer them to receive 10K in USDC
  • Regular remote company offsites: Meet your colleagues regularly for high impact in person sessions and hackathons
  • Working in a disruptive and fast-growing company where excellence is rewarded

What\\\’s it like to work at MoonPay?

At MoonPay, you\\\’ll work alongside driven, resourceful people who are passionate about excellence in everything they do. Kaizen is more than just a saying here, it\\\’s a mindset. We encourage you to think big, take risks, and push the boundaries of what\\\’s possible, knowing you have the support of a team that wants to see you grow. We\\\’re listed in the Sunday Times best places to work guide and consistently strive to provide an environment where everyone feels they can their best work.

Whether you\\\’re remote or collaborating with teammates around the world, you\\\’ll find opportunities here to do the best work of your career while shaping the future of the decentralized economy.

Commitment To Diversity

Research has shown that women are less likely than men to apply for this role if they do not have experience in 100% of these areas. Please know that this list is indicative, and that we would still love to hear from you even if you feel that you are only a 75% match. Skills can be learnt, diversity cannot.

Please let us know if you require any accommodations for the interview process, and we\’ll do our best to provide assistance.

At MoonPay we believe that every voice matters. We strive to create a mindful and respectful environment where everyone can bring their authentic self to work, and experience a culture that is free of harassment, racism, and discrimination. That\’s why we are committed to diversity and inclusion in the workplace and are a proud equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or any other characteristic protected by law. This policy applies to all employment practices within our organization, including, but not limited to, hiring, recruiting, promotion, termination, layoff, and leave of absence.MoonPay is also committed to providing reasonable accommodations in our job application procedures for qualified individuals with disabilities. Please inform our Talent Team if you need any assistance completing any forms or to otherwise participate in the application process.

Please be aware that MoonPay does not request an AI-led interview without seeing a recruiter or team member from MoonPay on video call. We won\’t ask for your personal identification documents or any money from you during your interview process with us. Be fraud smart! If you receive an email – claiming to be from MoonPay – but from an email address ending in anything other than @moonpay.com, please be aware that this is not us.

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Senior Machine Learning Engineer employer: MoonPay

At MoonPay, we pride ourselves on being an exceptional employer that champions innovation and inclusivity in the rapidly evolving world of cryptocurrency. Our dynamic work culture fosters collaboration and personal growth, offering competitive salaries, equity packages, and unlimited holidays to ensure a healthy work-life balance. With a commitment to diversity and a supportive environment, we empower our employees to excel and make a meaningful impact in building the future of financial freedom.
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Contact Detail:

MoonPay Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Senior Machine Learning Engineer

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow tech enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's GitHub repos or a personal website, let your work speak for itself and demonstrate your expertise in real-world applications.

✨Tip Number 3

Prepare for those interviews! Research common ML interview questions and practice coding challenges. Mock interviews with friends or using platforms can help you feel more confident and ready to impress.

✨Tip Number 4

Apply through our website! We love seeing candidates who are genuinely interested in joining us at MoonPay. Tailor your application to highlight how your skills align with our mission of financial empowerment through crypto.

We think you need these skills to ace Senior Machine Learning Engineer

Machine Learning
Python
ML feature engineering
Gradient boosting algorithms (e.g. XGBoost/CatBoost)
PyTorch
SQL
Apache Beam
BigQuery
Docker
Kubernetes
Cloud Native applications (e.g. Google Cloud, AWS, Azure)
Data structures and pipelines
Real-time data processing
Time series data analysis
Adversarial models

Some tips for your application 🫑

Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Machine Learning Engineer role. Highlight your experience with Python, ML solutions, and any relevant projects you've worked on in fintech or tech startups.

Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about the decentralized economy and how your background makes you a great fit for MoonPay. Be genuine and let your personality shine through!

Showcase Your Projects: If you've worked on any interesting ML projects, especially those related to fraud prevention or real-time data analysis, make sure to mention them. We love seeing practical applications of your skills!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you're serious about joining our team!

How to prepare for a job interview at MoonPay

✨Know Your Tech Stack

Familiarise yourself with the specific technologies mentioned in the job description, like Python, SQL, and Apache Beam. Be ready to discuss your experience with these tools and how you've used them in past projects, especially in relation to machine learning and fraud prevention.

✨Showcase Your Problem-Solving Skills

Prepare to discuss real-world scenarios where you've tackled complex problems using machine learning. Think about specific examples where you developed or improved ML models, particularly in a fast-paced environment, and be ready to explain your thought process.

✨Understand the Company’s Mission

MoonPay is all about financial empowerment through crypto. Make sure you understand their mission and values, and be prepared to articulate how your personal values align with theirs. This shows that you're not just looking for a job, but are genuinely interested in contributing to their vision.

✨Ask Insightful Questions

Prepare thoughtful questions that demonstrate your interest in the role and the company. Ask about their current challenges in machine learning, how they measure success in their projects, or what the team culture is like. This not only shows your enthusiasm but also helps you gauge if it's the right fit for you.

Senior Machine Learning Engineer
MoonPay
Location: City of London
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  • Senior Machine Learning Engineer

    City of London
    Full-Time
    43200 - 72000 Β£ / year (est.)
  • M

    MoonPay

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