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Machine Learning Engineer

  • Data Science
  • Fully Remote
  • 2 months ago
  • USA

Job Information

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    Salary Pound 70,000–80,000 / Yearly
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    Shift Morning
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    No. of Openings 1 opening
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    Job Level : Mid-Level
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    Job Experience : 3-5 Years
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    Job Qualifications Bachelor’s Degree

Job Description

We’re seeking a Machine Learning Engineer (Remote) to design, deploy, and optimize data pipelines and machine learning models used across our client portfolio. You will work with data scientists, MLOps engineers, and cloud architects to build scalable, automated, and measurable ML systems.

This role is ideal for someone who thrives in a distributed team and enjoys transforming complex datasets into efficient, production-grade solutions.

Responsibilities

  • Build, test, and deploy machine learning models for various predictive and generative AI use cases
  • Develop and maintain ETL/ELT pipelines supporting real-time and batch workloads
  • Optimize existing algorithms for performance, cost, and accuracy
  • Implement automated monitoring for model drift and retraining workflows
  • Collaborate with Data Engineers and Analysts to integrate models into client applications
  • Contribute to internal libraries (feature stores, evaluation frameworks, monitoring tools)
  • Ensure that all systems comply with GDPR and data governance guidelines
  • Support experimentation workflows using modern MLOps practices

Required Skills

Primary Hard Skills (Data & Analytics)

  • Python (Data)
  • Machine Learning
  • Artificial Intelligence
  • NLP (Nice to Have)
  • Data Engineering
  • ETL Pipelines
  • Data Analysis
  • Data Visualization

Additional Technical Skills

  • SQL
  • AWS / Google Cloud / Azure
  • Docker
  • Kubernetes
  • CI/CD
  • Linux
  • Git / GitHub
  • REST APIs
  • Automated Testing

 

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