Machine Learning Ops Engineer

Job title:

Machine Learning Ops Engineer

Company

YouLend

Job description

About UsYouLend is the preferred global embedded financing platform for many of the world’s leading e-commerce sites, tech companies and payment services providers such as Amazon, eBay, Shopify, Mollie, Dojo, Paysafe, Just Eat Takeaway and Takepayments. Our software platform and APIs enable our partners to offer flexible financing products, in their desired branding, to their merchant base. With YouLend’s AI-driven credit risk assessment solutions, more merchants and SMEs than ever can receive fast, flexible and affordable funding. We operate in 9+ geographies across the UK, EU and the US.We believe that the future of financial services will be delivered by customer-oriented tech companies that embed financing in their customer journeys, and we are building the solutions that will power that future.The Role:
As our ML Ops Engineer, you’ll be the architect of robust processes to streamline and maintain our machine learning models in a dynamic production environment. You’ll bridge the gap between research and deployment, ensuring our platform continues to deliver transformative results for our development partners. This role requires a blend of data engineering, software development, and an understanding of how to operationalize Machine Learning.Requirements

• Production Pipelines: Design, implement, and optimise scalable ML pipelines. This includes model training, validation, deployment, and monitoring.

• Dataflow for Continuous Learning: Engineer efficient data infrastructure for handling simulation results and production usage data.
• Alerting & Performance Monitoring: Set up systems to track model performance in production, creating alerts to flag potential accuracy degradation related to new geometries explored by our partners.
• Automation & Tooling: Build and select tools to automate as many aspects of the ML lifecycle as possible, streamlining operations and model updates.
• Collaboration is Key: Work closely with ML research engineers to understand new model advancements and integrate them into the production environment. Partner with software engineers for seamless platform functionalities.

Essential Skills:

• ML in Practice: Proven experience building and maintaining operational ML systems.
• Python Proficiency: Strong Python coding skills and familiarity with relevant ML/data engineering libraries.
• DevOps Mindset: Understanding of CI/CD principles, containerisation (Docker, Kubernetes), and version control (Git).
• Problem-Solving Approach: Ability to troubleshoot issues in complex ML pipelines and proactively address potential bottlenecks.

Desirable:

• Experience with Youlend’s data stack: Terraform, AWS, Rackspace, Helmchart, Jenkins, Snowflake
• Experience in financial services / lending

BenefitsWhy join YouLend?

• Award-Winning Workplace: YouLend has been recognised as one of the “Best Places to Work 2024” by the Sunday Times for being a supportive, diverse, and rewarding workplace.
• Award-Winning Fintech: YouLend has been recognised as a “Top 250 Fintech Worldwide” company by CNBC.

We offer a comprehensive benefits package that includes:

• Stock Options
• Private Medical insurance via Vitality
• EAP with Health Assured
• Enhanced Maternity and Paternity Leave
• Modern and sophisticated office space in Central London
• Free Gym in office building in Holborn
• Subsidised Lunch via Feedr
• Deliveroo Allowance if working late in office
• Monthly in office Masseuse
• Team and Company Socials
• Football Power League / Squash Club

Salary: £65,000 – 95,000 + 20% annual bonusAt YouLend, we champion diversity and embrace equal opportunity employment practices. Our hiring, transfer, and promotion decisions are exclusively based on qualifications, merit, and business requirements, free from any discrimination based on race, gender, age, disability, religion, nationality, or any other protected basis under applicable law.

Expected salary

£65000 – 95000 per year

Location

London

Job date

Thu, 30 Jan 2025 23:40:34 GMT

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