Machine Learning Engineer

Cornerstone VC; United States; On-site; USD 94,000 - 161,000; Full time

Job summary

Cornerstone VC in London is hiring an ML Engineer to design, build, and ship production ML systems powering our AI-native marketing platform. You will work on real-time chat, agent orchestration, and data-driven workflows.

The ideal candidate has strong production ML experience, hands-on with LLMs, RAG, and Python pipelines, and is comfortable in a fast-moving product environment. Bonus for Elixir experience and marketing analytics exposure.

Qualifications

• Strong production experience building and shipping ML systems.
• Hands-on experience with LLMs, RAG, agents, or workflow-driven AI systems.
• Solid engineering fundamentals: Python, APIs, data pipelines, evaluation.

Responsibilities

• Develop and deploy ML/LLM systems for marketing-specific workflows (reporting, analysis, review, compliance).
• Build agentic systems with persistent memory, tool use, and workflow orchestration.
• Integrate models with live data sources (Google Ads, GA4, Meta Ads, CRM, analytics).
• Improve retrieval, evaluation, and fine-tuning on marketing-domain data.
• Collaborate with product and engineering to ship reliable, user-facing AI.

Skills

ML systems

Python

APIs

Data pipelines

LLMs

RAG

Workflow AI

Tools

Elixir

Job description

ML Engineer – AI-Native Marketing Operations

We’re building AI-native operations for marketing teams - automating the work that slows them down, from campaign briefs and performance reporting to creative review, compliance workflows, and paid media analysis. Our platform is purpose-built for marketing, trained on real marketing workflows and deeply integrated with ad platforms, CRMs, brand assets, and analytics tools.

As an ML Engineer, you’ll design, build, and ship production ML systems that power our core product and agent ecosystem - from real-time chat and workflow automation to autonomous agents like daily performance briefings and competitor tracking.

What you’ll work on

• Develop and deploy ML/LLM systems for marketing-specific workflows (reporting, analysis, review, compliance)
• Build agentic systems with persistent memory, tool use, and workflow orchestration
• Integrate models with live data sources (Google Ads, GA4, Meta Ads, CRM, analytics)
• Improve retrieval, evaluation, and fine-tuning on marketing-domain data
• Collaborate closely with product and engineering to ship reliable, user-facing AI

What we’re looking for

• Strong experience building and shipping ML systems in production
• Hands-on experience with LLMs, RAG, agents, or workflow-driven AI systems
• Solid engineering fundamentals (Python, APIs, data pipelines, evaluation)
• Comfort working in a fast-moving product environment
• Bonus: experience with marketing, ads platforms, or analytics data. Also ideal if you’ve worked with Elixir.

You’ll have meaningful ownership, real user impact, and the chance to define how AI actually works inside modern marketing teams.

Working hours and location

Location: London, Chancery Lane

Hours: 9-6pm