Senior Machine Learning Engineer - MLOps

Business Manager - Machine Learning, LLMs, Generative AI & MLOps at Harnham

REMOTE

$,000 base salary + equity

$/yr - $/yr

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.

• Responsible for machine learning model deployment and scalability for the company's AI platform.
• 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.
• 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.
• 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.

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 (Tensor Flow, 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.
• Dev Ops experience with CI/CD pipelines required;
  Databricks and Git Hub 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.

A competitive base salary of $,000 + benefits + equity

Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.

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 | Databricks | Git Hub Actions

Seniority level:
Mid-Senior level.

Employment type:

Full-time.

Industry: Advertising Services.