Machine Learning Engineer

Harnham - Data and Analytics Recruitment
Abingdon, Oxfordshire
Today
US$200,000 – US$225,000 pa

Salary

US$200,000 – US$225,000 pa

Work Location
Hybrid
Seniority
Mid
Posted
29 Oct 2026 (Today)

Benefits

20% bonus

Machine Learning Engineer
New York | Hybrid (4 days in office)
$200k - $225k base + 20% bonus

A well-funded real estate business is investing heavily in AI and data to transform how strategic decisions are made across its portfolio. They're hiring a Machine Learning Engineer to join a small, highly visible team building predictive analytics and AI-powered products used by investment and operational stakeholders.

This is an opportunity to work on business-critical systems where data and AI directly influence commercial decision-making.

What You'll Do:

  • Build scalable data platforms, pipelines and ML infrastructure
  • Develop and deploy production AI solutions, including LLMs, RAG systems and AI agents
  • Partner closely with business stakeholders to solve complex problems
  • Drive architecture decisions and technical strategy
  • Own projects end-to-end from design through production

What We're Looking For:

  • Experience in ML Engineering & Applied AI
  • Production experience building and deploying AI/ML systems
  • Strong knowledge of modern data technologies such as Databricks, Spark, Kafka, Airflow and Delta Lake
  • Excellent software engineering and distributed systems fundamentals
  • Comfortable operating in fast-moving, high-ownership environments

Ideal Backgrounds:

  • FinTech, investment management, asset management, hedge funds or other data-driven industries
  • Startup or scale-up environments
  • Data platform, infrastructure or applied AI teams

Why Join?

  • Greenfield AI initiatives
  • Small team with significant ownership
  • Direct exposure to senior decision-makers
  • Opportunity to shape products, architecture and strategy
  • Fast-moving environment where ideas quickly reach production

Interested in building AI products that drive real-world business decisions? Apply here!

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