AI/ML Product Engineer at Harmonic Security Inc.
- Location
- London, United Kingdom
- Compensation
- £110k-£130k + Equity
Harmonic Security Inc. With over $10M in ARR already, Harmonic is helping companies safely adopt AI by providing unprecedented visibility into how their people use these tools. In this pivotal individual contributor role, you’ll build the classification and clustering engines that turn raw data into high-value product insights.
If you are a Python-first engineer with a passion for building innovative features that customers love, and you thrive on technical rigor and high-impact shipping, this is your chance to join a category-defining company at a critical growth stage.
What's the next step?
Harmonic Security Inc. are hiring from Jack's network. Talk to Jack for free and get a direct introduction to the team, if a good fit.
Role overview
You will be the engine behind the product’s insight layer, translating raw data into actionable intelligence for enterprise customers. By building sophisticated classification and clustering models in Python, you’ll surface adoption trends and security risks. This individual contributor role demands technical rigor and a strong product instinct to deliver features customers love.
About Harmonic Security Inc.
Harmonic Security provides an AI Governance and Control (AIGC) platform that enables enterprises to adopt AI tools safely without risking data security and privacy. The company offers a ‘zero-touch’ data protection platform utilizing pre-trained, specialized large language models to detect sensitive data with high accuracy. Key offerings include Harmonic Protect, a data protection platform for secure AI adoption, and MCP Gateway, a developer-friendly gateway providing visibility and control over agentic AI ecosystems. The platform addresses ‘Shadow AI’ by offering continuous monitoring of unapproved AI tools, assessing associated risks, and allowing security teams to manage access and block sensitive content from being uploaded. Harmonic employs an end-user ‘nudging’ approach to guide safe AI usage alongside traditional security enforcement.
What you will do
- Design and implement production-grade ML models focusing on classification, clustering, embeddings, and topic modeling to categorize complex enterprise data patterns.
- Ensure high signal-to-noise ratios by applying rigorous data validation to ensure that product insights are accurate, certain, and meaningful for end-users.
- Collaborate across the stack, primarily using Python for ML while occasionally touching Java and TypeScript to integrate insights seamlessly into the core product architecture.
Who this is a fit for
- Brings strong foundations in applied machine learning, specifically experienced in classification and clustering rather than predictive forecasting or time-series modeling.
- Demonstrates production-level engineering skills in Python and a track record of building customer-facing data products at AI-native startups or security SaaS platforms.
- Possesses a deep empathy for the customer persona, with the ability to identify trends and translate messy data into clear, intuitive product experiences.
Why this role is remarkable
- Join a category-defining startup with exceptional momentum, having reached $10M ARR and raised $26M in Series A funding to tackle the massive AI-governance market.
- Take true product ownership of the insights engine, moving beyond notebooks to ship high-impact features directly into the hands of enterprise leadership and security teams.
- Work in a fast-paced, high-talent environment in Shoreditch where engineering ships fast and every piece of work contributes to securing the global AI revolution.
How Jack & Jill work together
What happens next?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If your profile’s a match and Harmonic Security Inc. wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.