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Job Location | Manchester |
Education | Not Mentioned |
Salary | £50,000 - £60,000 per annum, inc benefits |
Industry | Not Mentioned |
Functional Area | Not Mentioned |
Job Type | Permanent , full-time Work from home |
Remote / WFH. Due to sustained growth, this award-winning software solutions company seeks a Machine Learning Software Engineer to join their established AI team. Python, AI, Machine Learning, NLP, Linux.ML Learning Engineer – the company and role:It’s a great time to join the team. The company delivers a range of enterprise level solutions. It’s well-established, has a great people culture (with very high employee engagement and retention rates), has grown 50% in the last 5 years alone, and hasplans to scale up to £100mil in the next 5 years!Working in a multi-discipline team, focusing on complex, large scale AI projects, this exciting new role will see you specifying, designing, developing and testing in Python.ML Learning Engineer – the environment:Python - advanced features, NumPy, keras, pandas, NLTK, scikit, SpaCyMachine Learning – NLP, ML algos, Hugging Face, large language models (LLMs), Retrieval Augmented Generation), learning algorithms, neural networks, ML frameworks (TensorFlow, PyTorch)Data WranglingSystems: Linux, APIs, infrastructure design – load balancing, VMs, PostgreSQL, vector dbs.ML Learning Engineer – desirable skills:Version control (Git), computer vision libraries, Big Data (Hadoop, Spark), Cloud – AWS, Google Cloud, Azure, and a knowledge of secure coding techniques – PCI-DSS, PA-DSS, ISO27001.Note: as there are actually two roles on offer (both new and due to expansion) the client is happy to look at more junior candidates, possibly graduates, for one of the positions.This is a fantastic opportunity to join a company that fosters growth and in particular a team that offers an exciting and collaborative environment to work in. Salary to £60,000 + range of benefits. Job offer subject to security background checks.Services advertised by Dupen are those of an Agency.Required skills