Senior Machine Learning Engineer

May 23

🔄 Hybrid – Manchester

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Description

• As a Senior Machine Learning Engineer, you will play a crucial role in the development and implementation of cutting-edge artificial intelligence products. Your responsibilities will involve designing and constructing sophisticated machine learning models, as well as refining and updating existing systems. • In order to thrive in this position, you must possess exceptional skills in statistics and programming, as well as a deep understanding of data science and software engineering principles. • Your ultimate objective will be to create highly efficient self-learning applications that can adapt and evolve over time, pushing the boundaries of AI technology. Join us and be at the forefront of innovation in the field of machine learning.

Requirements

• Proven experience as a Machine Learning Engineer or similar role • Ability to write robust code in Python and preferably also in JavaScript • Strong understanding of Natural Language Processing (NLP) • Familiarity with machine learning frameworks (Pytorch, HuggingFace) and libraries (like scikit-learn) • Experience in AWS or other similar cloud platforms • Excellent communication skills • Ability to work in a team • Understanding of data structures, data modelling and software architecture • Deep knowledge of math, probability, statistics and algorithms • Understanding and ability to orchestrate resources in cloud (Terraform) • Defining data augmentation pipelines • Analysing the errors of the model and designing strategies to overcome them • Deploying models to production • Outstanding analytical and problem-solving skills

Benefits

• 27 days of annual leave • Healthy half (0.5 day leave every 6 months for wellbeing) • Leave (study / volunteer / reserve forces) • Pension plan (6% employer contribution) • Private medical insurance – Vitality • Maternity (100% of basic salary for the first 26 weeks followed by Statutory Maternity Pay) • Paternity (100% of basic salary for 6 weeks) • Life cover • Access to GoodHabitz

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