Lead ML Engineer, Ad Performance

Launch Potato的Lead ML Engineer, Ad Performance職位申請; North East; Remote; GBP 125,000 - 164,000; Full time

Job summary

A leading digital media company in the UK is seeking a Lead ML Engineer to enhance advertising performance through scalable and reliable ML systems. The ideal candidate should have extensive experience in software development, machine learning engineering, and optimizing ad performance. This full-time role offers a competitive salary ranging from $165,000 to $215,000 per year and an opportunity to work in a global team environment.

Benefits

Profit-sharing bonus

Competitive benefits

Performance incentives

Qualifications

• 7 years of software development and ML engineering experience.
• 3 years focused on advertising systems.
• Expertise in ML areas like Recommendation Systems or Advertising Algorithms.

Responsibilities

• Develop and scale advertising algorithms that optimize engagement and revenue.
• Build scalable infrastructure to support real‑time ad decisioning.
• Collaborate with global teams to launch high‑impact ad features.

Skills

Software development

Machine Learning engineering

Advertising systems

Optimization of ad performance

Machine Learning frameworks (TensorFlow, PyTorch)

Python

SQL

Distributed data processing (Spark, Ray)

Cloud infrastructure (AWS / GCP)

Analytical problem-solving

Tools

JProfiler

Splunk

Performance Testing Tools

LoadRunner

New Relic

J2EE

Job description

WHO ARE WE

Launch Potato is a profitable digital media company that reaches over 30M monthly visitors through brands such as FinanceBuzz All About Cookies and OnlyInYourState.

As The Discovery and Conversion Company our mission is to connect consumers with the worlds leading brands through data-driven content and technology.

Headquartered in South Florida with a remote-first team spanning over 15 countries we've built a high-growth high-performance culture where speed ownership and measurable impact drive success.

WHY JOIN US

At Launch Potato you'll accelerate your career by owning outcomes moving fast and driving impact with a global team of high-performers.

We turn audience attention into action through data machine learning and relentless optimization.

Are you a Machine Learning Engineer with a passion for bridging technical expertise and business acumen? Do you thrive in building scalable reliable systems that directly move revenue? If you're eager to collaborate globally, face challenges head-on and make substantial impact, we're looking for you to join our dynamic team.

In this role you'll work at the intersection of advertising algorithms personalization and optimization building the ML software and infrastructure that drives ad performance and user engagement at scale.

BASE SALARY

$165,000–$215,000 per year paid semi-monthly

MUST HAVE

You bring both the technical depth to design and deploy complex ML systems and the business intuition to know what actually moves KPIs. Specifically:

• 7 years of software development and ML engineering including 3 years focused on advertising systems
• Proven experience optimizing ad performance using both mature models and emerging ML technologies
• Expertise in one or more ML areas: Recommendation Systems, Advertising Algorithms, NLP, or CV
• Proficiency with Python, SQL and modern ML frameworks (TensorFlow, PyTorch)
• Familiarity with distributed data processing (Spark, Ray) and cloud infrastructure (AWS / GCP)
• Strong analytical problem‑solving skills with a proven track record of delivering measurable results
• Excellent communication, teamwork and project management skills

YOUR ROLE

Your mission: Elevate Launch Potato's advertising performance by building scalable production‑ready ML systems that optimize revenue while enhancing user experience. You'll collaborate across teams to design, deploy and refine algorithms that improve ad targeting relevance and efficiency at global scale.

OUTCOMES

• Develop and scale advertising algorithms that optimize engagement and revenue simultaneously
• Apply cutting‑edge ML approaches (e.g., reinforcement learning, deep learning for ranking) to improve ad performance
• Build scalable infrastructure to support real‑time ad decisioning across millions of requests per day
• Conduct rigorous experiments (A/B and multivariate tests) to measure model impact on business KPIs
• Continuously improve ETL pipelines and monitoring systems to ensure reliable ad delivery
• Collaborate with global teams across product, data and engineering to launch high‑impact ad features
• Stay ahead of emerging technologies and integrate them into our ML stack when they create competitive advantage

COMPETENCIES

• Impact‑Oriented: You align ML systems to business outcomes and measure what matters
• Technical Builder: You write clean production‑ready code and architect scalable systems
• Collaborative: You work seamlessly with global teams and communicate complex ideas clearly
• Resilient & Determined: You don't shy from challenges and drive projects through to impact
• Curious Innovator: You keep pace with ML/AI trends and creatively apply them to advertising
• Analytical Problem‑Solver: You break down complex systems and find data‑driven solutions

TOTAL COMPENSATION

Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato's Levels Framework. Your compensation package includes a base salary, profit‑sharing bonus and competitive benefits. Launch Potato is a performance‑driven company which means once you are hired future increases will be based on company and personal performance, not annual cost‑of‑living adjustments.

WANT TO ACCELERATE YOUR CAREER? APPLY NOW!

Since day one we've been committed to having a diverse inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity and inclusion.

We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability or other applicable legally protected characteristics.

KEY SKILLS

JProfiler, Splunk, Performance Testing, Fiddler, Apache, HP Performance Center, LoadRunner, New Relic, Scalability, J2EE, Java, Scripting

EMPLOYMENT TYPE

Full‑Time

EXPERIENCE

Years

VACANCY

1

YEARLY SALARY

165000 - 215000