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Machine Learning Engineer

Harnham - Data and Analytics Recruitmentabingdon, england🇬🇧United Kingdom

Quick overview

Salary£200k - £225k/yr
SeniorityMid Senior
Work modeHybrid
Locationabingdon, england, United Kingdom
AirflowDatabricksKafkaMachine LearningDelta LakeRAG

Job description

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

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