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Machine learning engineer

Reading (Berkshire)
Halian | Managed Services, Recruitment Agency & Contract Staffing
Machine learning engineer
€75,000 a year
Posted: 16h ago
Offer description

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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