Machine Learning Engineer

Halian | Managed Services, Recruitment Agency & Contract Staffing
Reading
4 days ago
Create job alert

SALARY- £60,000 to £90,000 per annum (plus benefits)


My client is a technology-focused organisation developing advanced AI and data-driven solutions across a range of industries. They are looking to expand their technical team by hiring a Machine Learning Engineer to support the development and deployment of intelligent systems from their offices in Reading.


Machine Learning Engineer attributes

  • Knowledge / experience in Machine Learning, Artificial Intelligence, or Data Science
  • A degree qualification (BSc, MSc, PhD etc.) in Computer Science, Data Science, Mathematics, Statistics, Artificial Intelligence or similar
  • Strong programming skills in Python
  • Experience with machine learning libraries such as TensorFlow, PyTorch, or Scikit-learn
  • Experience working with large datasets and building data pipelines
  • Knowledge of cloud platforms such as AWS, Azure, or GCP would be beneficial
  • Experience deploying machine learning models into production environments
  • Understanding of APIs, data processing frameworks, and software development best practices
  • Ability to work both independently and as part of a collaborative technical team
  • Excellent communication skills (both verbal and written)
  • Keen to develop technically and grow within a fast-paced environment

Machine Learning Engineer role

  • Working within the existing data and engineering teams to develop machine learning solutions
  • Designing, building, and deploying machine learning models
  • Preparing and processing datasets for model training and evaluation
  • Improving model performance through experimentation and optimisation
  • Collaborating with software engineers to integrate ML solutions into applications
  • Researching and implementing new machine learning techniques where appropriate

If you are interested in this position, please apply with an up-to-date CV as soon as possible, along with your availability and salary expectations.


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