May 23
🔄 Hybrid – Manchester
• 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.
• 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
• 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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