Senior Machine Learning Engineer in London
Senior Machine Learning Engineer

Senior Machine Learning Engineer in London

London Full-Time 48000 - 84000 ÂŁ / year (est.) Home office (partial)
Go Premium
M

At a Glance

  • Tasks: Build and integrate ML solutions to enhance transaction security and customer behaviour analysis.
  • Company: Join MoonPay, a leader in the decentralized economy and crypto adoption.
  • Benefits: Competitive salary, equity options, unlimited holidays, and hybrid working.
  • Why this job: Make a real impact in the fast-paced world of crypto and financial empowerment.
  • Qualifications: Experience in Machine Learning and familiarity with fintech technologies.
  • Other info: Dynamic team culture focused on innovation and personal growth.

The predicted salary is between 48000 - 84000 ÂŁ per year.

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.

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

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
  • At MoonPay, exceptional impact is recognized and rewarded. Twice a year, we award the Moonshot Award to 10 standout contributors across the company, each receiving a $250,000 equity grant in recognition of extraordinary performance and leadership.
  • 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 do 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 otherwise participating 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.

Senior Machine Learning Engineer in London employer: MoonPay

At MoonPay, we pride ourselves on being an exceptional employer that champions financial empowerment through innovation in the crypto space. Our dynamic work culture fosters collaboration and creativity, offering unlimited holidays, a competitive salary package, and equity opportunities that ensure every employee shares in our success. With a commitment to diversity and continuous learning, we provide ample growth opportunities in a fast-paced environment where your contributions truly matter.
M

Contact Detail:

MoonPay Recruiting Team

StudySmarter Expert Advice 🤫

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

✨Tip Number 1

Network like a pro! Reach out to folks in the crypto and fintech space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to fraud prevention or real-time data analysis. This will give you an edge when chatting with potential employers.

✨Tip Number 3

Prepare for the interview by brushing up on your knowledge of the latest trends in blockchain and crypto. Be ready to discuss how your experience aligns with MoonPay's mission to empower financial freedom.

✨Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the MoonPay team.

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

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

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Machine Learning Engineer role. Highlight your experience with ML solutions, especially in fraud prevention, and show how your skills align with our mission at MoonPay.

Showcase Your Projects: Include specific examples of projects you've worked on that relate to the job description. Whether it's building ML models or working with big data, we want to see how you've made an impact in your previous roles.

Be Authentic: Let your personality shine through in your application. We value diversity and want to know what makes you unique. Share your passion for financial empowerment and how you can contribute to our vision at MoonPay.

Apply Through Our Website: For the best chance of success, make sure to apply directly through our website. This way, your application will be seen by the right people, and you'll be one step closer to joining our team!

How to prepare for a job interview at MoonPay

✨Know Your Tech Stack

Familiarise yourself with the 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 real-world scenarios, especially in relation to machine learning and fraud prevention.

✨Showcase Your Problem-Solving Skills

Prepare to discuss specific examples where you've tackled complex problems using machine learning. Think about times when you had to analyse large datasets or develop models that improved processes. This will demonstrate your ability to contribute to MoonPay's mission of building secure solutions.

✨Understand the Company’s Vision

Dive deep into MoonPay's mission of decentralising finance and empowering users. Be ready to articulate how your skills and experiences align with their goals. Showing genuine interest in their vision will set you apart from other candidates.

✨Prepare for Technical Questions

Expect technical questions related to machine learning algorithms, data structures, and cloud-native applications. Brush up on gradient boosting techniques and be prepared to explain your thought process in developing and deploying ML models. Practising coding challenges can also help you feel more confident.

Senior Machine Learning Engineer in London
MoonPay
Location: London
Go Premium

Land your dream job quicker with Premium

You’re marked as a top applicant with our partner companies
Individual CV and cover letter feedback including tailoring to specific job roles
Be among the first applications for new jobs with our AI application
1:1 support and career advice from our career coaches
Go Premium

Money-back if you don't land a job in 6-months

M
  • Senior Machine Learning Engineer in London

    London
    Full-Time
    48000 - 84000 ÂŁ / year (est.)
  • M

    MoonPay

    50-100
Similar positions in other companies
UK’s top job board for Gen Z
discover-jobs-cta
Discover now
>