Machine Learning Specialist

Manchester Full-time £0 / Year
(£3,750 - £5,000 / Month)

Job Description

As a Machine Learning Specialist, you will spearhead the development of state-of-the-art machine learning models and data-driven applications. You will work closely with data scientists and software engineers to create innovative AI solutions that address complex business challenges.

Responsibilities

  • Implement machine learning solutions that address specific business problems.
  • Collaborate with stakeholders to define success criteria for model performance.
  • Utilise statistical methods and machine learning techniques to derive actionable insights from large datasets.
  • Manage and mentor junior data scientists and analysts as required.
  • Assist in the preparation of reports and presentations to communicate findings to non-technical stakeholders.

Requirements

Education
  • Bachelor's degree in Computer Science, Statistics, or a related field
  • Master's degree in Data Science or related field is preferred
Experience
  • 3+ years of practical experience in machine learning with a focus on production-level systems
Technical Skills
  • Python
  • R
  • Machine Learning Frameworks
  • Data Visualization
Soft Skills
  • Critical thinking
  • Time management
Certifications
  • Microsoft Certified: Azure Data Scientist Associate
  • Certified Data Scientist
Languages
  • English: Fluent

Advantageous

  • Experience with Big Data Technologies: Hands-on experience with tools like Hadoop, Spark, or Apache Flink.
  • Background in Computer Vision: Familiarity with techniques for image recognition and computer vision applications.

Benefits

  • Opportunity to work with cutting-edge technology
  • Supportive and inclusive company culture
  • Regular feedback and professional growth opportunities
  • Access to learning resources and industry conferences

Company Culture

  • Continuous Learning: We encourage our employees to pursue continuous learning and professional development.
  • Work-life Balance: We prioritize work-life balance and offer flexible working arrangements.
Status: Closed