Product Manager - MLOps Platform

Product Manager - MLOps Platform

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

  • Tasks: Lead the development of a cutting-edge MLOps platform for AdTech.
  • Company: Join Whitehall Resources, a forward-thinking company in the tech industry.
  • Benefits: Enjoy remote work flexibility and a collaborative team environment.
  • Why this job: Shape the future of machine learning in advertising and make a real impact.
  • Qualifications: 5+ years in product management, ideally with AdTech experience.
  • Other info: This is a 5-month contract role, perfect for those seeking dynamic challenges.

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

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Product Manager – MLOps Platform

Whitehall Resources are looking for a Product Manager – MLOps Platform. This role is remote working for an initial 5-month contract.

***Inside IR35***

Job Description:
We’re looking for a forward-thinking Product Manager to lead the end-to-end development of a greenfield MLOps platform tailored for the fast-paced and data-intensive world of AdTech. This is a unique opportunity to architect a foundational capability that will power advanced machine learning use cases across our advertising ecosystem.

Key Responsibilities:
β€’ Define and own the product vision and roadmap for a brand-new MLOps platform, built from the ground up to support scalable, secure, and efficient ML model development, deployment, and monitoring.
β€’ Work closely with data science, engineering, analytics, and AdOps teams to understand current workflows and identify opportunities to streamline and automate the ML lifecycle.
β€’ Assess existing data, analytics, and infrastructure frameworks to identify reusable components and define the architectural blueprint for the MLOps platform.
β€’ Collaborate with backend and platform engineering teams to identify technical gaps, scope backend development efforts, and deliver core platform capabilities such as:
– Model training orchestration
– CI/CD for ML (e.g., using MLflow, Kubeflow, or Vertex AI Pipelines)
– Model versioning, monitoring, and governance
β€’ Enable high-impact AdTech use cases including:
– Marketing Mix Modeling (MMM)
– Real-time personalization and bidding
– Audience segmentation and targeting
– Predictive analytics for campaign performance
β€’ Ensure seamless integration with Order Management Systems (OMS), Customer Data Platforms (CDPs), Data Warehouses (e.g., BigQuery), and custom BI tools to support real-time and batch model consumption.
β€’ Translate business needs into detailed product requirements, user stories, and technical specifications, and manage delivery using agile methodologies.
β€’ Drive platform adoption by evangelizing best practices in ML operations, model governance, and responsible AI.

Preferred Qualifications:
β€’ 5+ years of product management experience, with at least 2 years in AdTech, MarTech, or digital media platforms.
β€’ Proven experience building ML platforms or infrastructure from scratch, ideally in a cloud-native environment.
β€’ Strong understanding of programmatic advertising, attribution modeling, campaign measurement, and media mix optimization.
β€’ Familiarity with cloud platforms (especially GCP) and tools like BigQuery, Vertex AI, Dataflow, Airflow, and dbt.
β€’ Excellent communication and stakeholder management skills, with the ability to align cross-functional teams around a shared vision.

All of our opportunities require that applicants are eligible to work in the specified country/location, unless otherwise stated in the job description.

Whitehall Resources are an equal opportunities employer who value a diverse and inclusive working environment. All qualified applicants will receive consideration for employment without regard to race, religion, gender identity or expression, sexual orientation, national origin, pregnancy, disability, age, veteran status, or other characteristics.

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Product Manager - MLOps Platform employer: Whitehall Resources Ltd

At Whitehall Resources, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. As a Product Manager for the MLOps Platform, you will have the unique opportunity to lead innovative projects in a remote setting, supported by a collaborative team dedicated to your professional growth. We offer competitive benefits and a commitment to diversity, ensuring that every voice is heard and valued in our mission to revolutionise the AdTech landscape.
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Contact Detail:

Whitehall Resources Ltd Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Product Manager - MLOps Platform

✨Tip Number 1

Familiarise yourself with the latest trends in MLOps and AdTech. Understanding the current landscape will help you speak confidently about how you can contribute to the development of the platform.

✨Tip Number 2

Network with professionals in the MLOps and AdTech fields. Engaging with industry experts can provide insights into the challenges they face, which you can address during interviews.

✨Tip Number 3

Prepare to discuss specific examples of your past experiences in product management, especially those related to building ML platforms or working in cloud environments. This will demonstrate your capability to handle the responsibilities of the role.

✨Tip Number 4

Showcase your understanding of agile methodologies and how you've successfully implemented them in previous projects. This is crucial for managing delivery and aligning cross-functional teams effectively.

We think you need these skills to ace Product Manager - MLOps Platform

Product Vision and Roadmap Development
Agile Methodologies
Machine Learning Operations (MLOps)
Data Science Collaboration
Technical Specification Writing
Cloud-Native Infrastructure
CI/CD for Machine Learning
Model Governance and Monitoring
Stakeholder Management
AdTech Knowledge
Programmatic Advertising Understanding
Campaign Measurement Expertise
Integration with Data Platforms
Communication Skills
Problem-Solving Skills

Some tips for your application 🫑

Understand the Role: Before applying, make sure you fully understand the responsibilities and qualifications required for the Product Manager – MLOps Platform position. Tailor your application to highlight relevant experience in product management, especially in AdTech or ML platforms.

Craft a Targeted CV: Your CV should reflect your experience in product management and any specific projects related to MLOps or machine learning. Use keywords from the job description to ensure your CV aligns with what the company is looking for.

Write a Compelling Cover Letter: In your cover letter, express your passion for the role and the industry. Highlight your understanding of the MLOps landscape and how your skills can contribute to building a successful platform. Be sure to mention any relevant tools or methodologies you are familiar with.

Showcase Your Achievements: When detailing your past experiences, focus on quantifiable achievements that demonstrate your impact in previous roles. For example, discuss how you improved processes or contributed to successful product launches in the AdTech space.

How to prepare for a job interview at Whitehall Resources Ltd

✨Understand the MLOps Landscape

Familiarise yourself with the current trends and technologies in MLOps, especially those relevant to AdTech. Be prepared to discuss how you would approach building a greenfield MLOps platform and the challenges you might face.

✨Showcase Your Product Management Experience

Highlight your previous experience in product management, particularly in AdTech or similar fields. Be ready to provide examples of how you've successfully led product development and collaborated with cross-functional teams.

✨Demonstrate Technical Knowledge

Brush up on your understanding of machine learning concepts and tools like MLflow, Kubeflow, and cloud platforms such as GCP. Being able to speak the technical language will help you connect with engineering teams during the interview.

✨Prepare for Scenario-Based Questions

Expect scenario-based questions that assess your problem-solving skills and ability to translate business needs into product requirements. Think of specific situations where you identified opportunities for improvement and how you implemented solutions.

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