Machine Learning Engineer

Harnham - Data and Analytics Recruitment; Abingdon; Híbrido; GBP 149.000 - 168.000; Jornada completa

Descripción de la vacante

Real estate AI Group in New York is seeking a Machine Learning Engineer to build scalable data platforms and ML infra. You will develop production AI solutions, including LLMs and AI agents, and work closely with stakeholders to solve complex problems.

You will participate in architectural decisions and own projects end-to-end from design to production, in a fast-moving hybrid environment with significant ownership and visibility.

Formación

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

Responsabilidades

• 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.

Conocimientos

ML Engineering

Applied AI

Production AI systems

Distributed systems

High ownership

Herramientas

Databricks

Spark

Kafka

Airflow

Delta Lake

Descripción del empleo

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