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Artificial Intelligence and Machine Learning Specialist

2 months ago

Edinburgh, Edinburgh, United Kingdom Cranleigh STEM Full time

About Cranleigh STEM

Cranleigh STEM is a dynamic and innovative company that specializes in cutting-edge RNA technologies. Our mission is to revolutionize the industry with groundbreaking advancements in bioinformatics and applied machine learning.

Job Summary

We are seeking a talented Machine Learning Engineer to join our team. As a key member of our team, you will be responsible for applying machine learning techniques to real-world datasets, working with researchers and bioinformaticians to understand project requirements, and delivering insights that support research and clinical decisions.

Key Responsibilities

  • Data Exploration and Feature Engineering

Work with raw data, apply preprocessing techniques, and extract meaningful features to feed into machine learning models.

Algorithm Selection and Implementation

Research and implement suitable machine learning algorithms (e.g., decision trees, neural networks, clustering) based on problem requirements.

Production Deployment

Deploy machine learning models into production environments, monitor their performance, and ensure scalability and reliability.

Collaboration

Work with researchers and bioinformaticians to understand project requirements and deliver insights that support research and clinical decisions.

Requirements

  • Demonstrated experience in applying machine learning techniques to real-world datasets, preferably in healthcare or cancer research.
  • Proficiency in Python and related libraries (e.g., scikit-learn, TensorFlow).
  • Hands-on experience working with high-dimensional, sparse data commonly encountered in fields such as natural language processing (e.g., text data), recommendation systems, or sensor networks.
  • Proficiency in handling missing, incomplete, or sparse data using techniques such as imputation, matrix factorization, or dimensionality reduction.
  • Strong knowledge of machine learning algorithms, especially ensemble methods like Random Forests.
  • Familiarity with data preprocessing, feature engineering, and model evaluation techniques.

What We Offer

Cranleigh STEM offers a competitive salary, company benefits, and the opportunity to join a fast-growing start-up working on groundbreaking technology.