Machine Learning Engineer

Hayward Hawk; New York (NY); Hybrid; USD 90,000 - 150,000; Full time

Job summary

An innovative firm is seeking a Machine Learning Engineer to develop and deploy advanced models focusing on time series forecasting and anomaly detection. This exciting hybrid role involves working with complex datasets to create predictive insights that drive analytics in real estate and finance. You will design predictive models, collaborate with stakeholders, and leverage cloud-based solutions for deployment. Join a dynamic team where your expertise in machine learning and data science will make a significant impact on the industry. If you are passionate about AI and looking for a challenging opportunity, this role is perfect for you.

Qualifications

• 5+ years of experience in Machine Learning, AI, or Data Science.
• Proficiency in Python with expertise in ML libraries.

Responsibilities

• Design and implement predictive models for trend analysis and anomaly detection.
• Build scalable cloud-native solutions leveraging Azure ML and Data Factory.

Skills

Machine Learning

Python

SQL

Time Series Forecasting

Data Processing

Feature Engineering

Anomaly Detection

Cloud Services (Azure)

Tools

TensorFlow

PyTorch

Scikit-learn

XGBoost

Azure ML

Data Factory

Application Insights

Job description

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Direct message the job poster from Hayward Hawk

IT Specialist | Principal Recruitment Consultant | 02895 902688 | [e-mail]

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