Machine Learning Engineer

Cornerstone VC; United Kingdom; Remote; GBP 60,000 - 80,000; Full time

Job summary

A leading technology firm in London seeks an ML Engineer for designing and building AI-native marketing operations systems. You will develop and deploy ML systems, improve performance through integration with live data sources, and collaborate closely with product and engineering teams. Ideal candidates should have strong experience with ML systems, solid engineering fundamentals, and a comfort in rapid product development. This role offers meaningful ownership and user impact.

Qualifications

• 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).

Responsibilities

• Develop and deploy ML/LLM systems for marketing-specific workflows.
• Build agentic systems with persistent memory and workflow orchestration.
• Integrate models with live data sources.

Skills

Building and shipping ML systems

Experience with LLMs

Solid engineering fundamentals (Python)

Familiarity with data pipelines

Comfortable in a fast-moving product environment

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

For more information or to apply to this role please contact [e-mail]