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Machine Learning Engineer

Opus Recruitment Solutions
London
2 months ago
Applications closed

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Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

The Role :


I am working with an amazing start-up specialising in the consumer fraud risk intelligence who are seeking a Senior Machine Learning Engineer. You will work along the end-to-end machine learning lifecycle, focusing on data engineering and maintaining real-time data pipelines. Your responsibilities will include developing and maintaining ETL processes, designing and implementing machine learning algorithms, and deploying and monitoring models in production environments


The Ideal Candidate


  • Education & Experience:
  • Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
  • 7+ years of professional experience in areas such as fraud prevention or credit scoring.
  • Machine Learning Expertise:
  • Strong understanding of machine learning algorithms and their practical applications.
  • Experience with frameworks like TensorFlow, PyTorch, and scikit-learn.
  • Data Engineering:
  • Proficiency in developing and maintaining real-time data pipelines.
  • Experience with ETL processes, Python, and SQL.
  • Familiarity with big data technologies like Apache Hadoop and Apache Spark.
  • MLOps & Deployment:
  • Experience deploying and maintaining ML inference pipelines.
  • Proficiency with Docker and Kubernetes.
  • Familiarity with AWS cloud platform.


The Perfect Candidate Also Has :


  • Programming Languages:
  • Experience with Node.js, JavaScript (JS), and TypeScript (TS).
  • Statistical Knowledge:
  • Solid understanding of statistical concepts and methodologies.
  • Data Manipulation & Analysis:
  • Proficiency with tools like Pandas, NumPy, and Jupyter Notebooks.
  • Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau.
National AI Awards 2025

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