Machine Learning Engineer

JOB- Machine Learning Engineer

LOCATION- Reading

TERM- Permanent

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.

The Machine Learning Engineer will ideally have the following 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

The Machine Learning Engineer role will involve:

• 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.