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Machine Learning Engineer

Machine Learning Engineer

Hayward HawkNew York, New York, US
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Direct message the job poster from Hayward Hawk

IT Specialist | Principal Recruitment Consultant | 02895 902688 | katie@haywardhawk.com

New York – 2 days p / w

Hayward Hawk are delighted to be recruiting for a Machine Learning Engineer for their client based in Manhattan.

This is a hybrid role and will be onsite 2 days per week.

The Role :

This role is centred on developing and deploying advanced machine learning models, with a strong emphasis on time series forecasting and anomaly detection. You will work with complex, multi-source datasets, creating predictive insights that drive real estate and financial analytics.

Key Responsibilities :

  • Model Development : Design and implement predictive models to analyse trends, detect anomalies, and enhance forecasting capabilities.
  • Cloud-Based Deployment : Build scalable, cloud-native solutions leveraging Azure ML, Data Factory, and Application Insights for monitoring and optimization.
  • Stakeholder Collaboration : Engage with engineers, business teams, and domain experts to integrate AI-driven insights into real estate analytics.
  • Data Processing & Engineering : Work with large-scale structured and unstructured data, developing ETL pipelines using SQL and Python.
  • Exploratory Analysis & Feature Engineering : Perform EDA, feature selection, and model evaluation to improve predictive accuracy and interpretability.

Skills & Experience Required :

  • A minimum of 5 years of experience in Machine Learning, AI, or Data Science.
  • Proficiency in Python with expertise in ML libraries like TensorFlow, PyTorch, Scikit-learn, or XGBoost.
  • Hands-on experience in time series forecasting (e.g., ARIMA, Prophet, LSTMs).
  • Strong SQL skills for data extraction, transformation, and management.
  • Knowledge of Azure-based cloud services (Azure ML, Data Factory, Application Insights).
  • Background in data preprocessing, feature engineering, and model evaluation.
  • Ability to translate technical findings into insights that are accessible to non-technical audiences.

    • Would love :

  • Exposure to big data technologies such as Spark, Databricks, or Snowflake.
  • Experience in MLOps and deploying models in production environments.
  • Understanding of real estate analytics, financial modelling, or risk assessment.
  • Cloud certifications related to AI / ML on Azure or equivalent.
  • Unfortunately, there is no visa sponsorship opportunity with this role

    • Seniority level

    Mid-Senior level

    Employment type

    Full-time

    Job function

    Information Technology

    Industries

    Technology, Information and Media

    J-18808-Ljbffr

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    Machine Learning Engineer • New York, New York, US