About
Series A Adtech
REMOTE
$190,000-210,000 base salary + equity
THE COMPANY
Harnham is partnering with a unicorn AI adtech that builds AI platforms which enhance performance by delivering real-time relevance at critical points in the customer journey. Using intelligent systems and a global digital commerce framework, the platform powers high-volume interactions between millions of users and major brands. Following a significant valuation increase in early 2025, they are expanding rapidly across international markets, particularly in AI. The AI engineering team builds scalable, data-driven solutions that personalize user experiences and equip marketers with actionable insights, all while working with large-scale infrastructure and diverse technologies.
THE ROLE You will be responsible for machine learning model deployment and scalability for the company's AI platform You will report directly to senior leadership and work closely on technical direction Own AI infrastructure and quickly build into production, particularly focusing on novel AI and LLM applications You will implement and design code and build out to production using various machine learning and LLM techniques, owning machine learning workflow operations and distributed systems Own CI/CD pipelines for MLOps / LLMOps You will play an integral role of building out the AI team and scaling out its product Act as a thought leader role for AI across the business YOUR SKILLS AND EXPERIENCE
The successful Senior Machine Learning Engineer - MLOps will likely have the following skills and experience:
5+ years of commercial experience preferred with a focus on deploying and scaling machine learning and LLM models Experience working in a scaling startup is highly preferred (having seen multiple funding rounds ideally) Expertise in Python (TensorFlow, PyTorch) for production-grade work Commercial experience building novel AI platforms with large datasets History of working with and managing real-time AI applications in production settings Fluency with low-latency distributed systems is preferred Cloud experience in AWS, Azure or GCP DevOps experience with CI/CD pipelines required; Databricks and GitHub Actions preferred History of working on models from concept to production / end-to-end / 0-1 Experience in settings wearing multiple hats Domain experience in adtech or similar a plus History of partnering with non-technical stakeholders required Experience owning projects directly preferred BS or MS degree in Computer Science, Statistics, Applied Mathematics, Computer Engineering or similar
THE BENEFITS
A competitive base salary of $190,000-210,000 + benefits + equity
HOW TO APPLY
Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.
KEYWORDS
Machine Learning | AI | Artificial Intelligence | Technology | MLOps | LLMOps | Adtech | Advertising | Unicorn | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | Distributed Systems | Low Latency | Real-time | Scale | Scalability | Infrastructure | Architecture | CI/CD | Continuous Integration | Continuous Deployment | Real Time Bidding | Auction | Recommendation Engine | Recommender System | Personalization | Bespoke | Target Audience
Languages
- English
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