MLOps Engineering Manager at Depop

London, England, United Kingdom

Depop Logo
Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
E-commerce, FashionIndustries

Requirements

  • Experienced in leading an MLOps function
  • Ability to manage a team of 8 engineers and specialists
  • Expertise in setting strategic direction for machine learning development, deployment, and scaling
  • Knowledge of building robust, secure, and scalable ML infrastructure
  • Skills in modern, cloud-native MLOps stacks
  • Experience in technical leadership, including guidance on architecture, tooling, best practices for ML pipelines, model deployment, monitoring, and incident management
  • Ability to collaborate with engineering, product, data leadership, machine learning scientists, and cross-functional teams
  • Proficiency in vendor management, including overseeing relationships, ensuring service quality and cost-effectiveness, and collaborating on contracts, renewals, and evaluations
  • Capability to provide leadership reporting on progress, risks, and priorities

Responsibilities

  • Lead, coach, and develop a team of 8 MLOps engineers, fostering a culture of high performance, collaboration, and growth
  • Provide guidance on architecture, tooling, and best practices for ML pipelines, model deployment, monitoring, and incident management
  • Partner closely with machine learning scientists, ML management, and cross-functional teams to align MLOps solutions with scientific innovation, business priorities, and operational needs
  • Define and deliver the MLOps strategy, aligning with Depop’s broader Data and Engineering roadmap
  • Oversee operational relationships with external vendors, ensuring service quality, cost-effectiveness, and alignment with team needs; collaborate with Vendor Managers on contract negotiations, renewals, and vendor evaluations
  • Provide clear, concise updates on progress, risks, and priorities in fortnightly leadership reporting

Skills

MLOps
Machine Learning
ML Infrastructure
Deployment
Scaling
Team Management
Strategic Planning

Depop

Peer-to-peer marketplace for unique fashion items

About Depop

Depop is an online marketplace designed for buying, selling, and discovering unique fashion items, including designer pieces, vintage finds, streetwear, and sneakers. The platform operates as a peer-to-peer marketplace, allowing users to list their items for sale directly to other users. Depop generates revenue by taking a commission on each sale, which aligns the company's success with that of its sellers. The platform primarily targets younger consumers who value sustainability and often seek second-hand fashion items, making it an appealing option for those looking to reduce waste and support independent brands. Additionally, Depop fosters a sense of community among its users, encouraging interaction and connection, which enhances the buying and selling experience. This community-driven approach, along with its focus on unique and sustainable fashion, sets Depop apart from other online marketplaces.

London, United KingdomHeadquarters
2011Year Founded
$97.3MTotal Funding
ACQUISITIONCompany Stage
Consumer GoodsIndustries
1,001-5,000Employees

Risks

Increased competition from eBay may attract sellers away from Depop.
Marketplace fee for UK buyers may deter some users from Depop.
Generative AI development could disrupt traditional resale models, challenging Depop.

Differentiation

Depop targets younger consumers interested in unique, sustainable fashion items.
The platform fosters a community-driven approach, enhancing user experience and engagement.
Depop's commission-based model aligns its success with that of its sellers.

Upsides

Increased interest in sustainable fashion drives more consumers to Depop.
Social commerce rise creates new engagement opportunities with Depop's young audience.
U.S. resale market forecasted to grow, offering Depop significant growth potential.

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