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    London Area, United Kingdom

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  • Burns Sheehan

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    Machine Learning Engineer - Space & AgTech Start-Up - up to £80,000 base + Equity Location: London - 1 day every 2 weeks One of our clients in the Agriculture Technology space is on the lookout for a Machine Learning Engineer to join their ranks. As a Machine Learning Engineer, you will have a research element as well as being responsible for th

    Job Source: Burns Sheehan

Machine Learning Engineer

London

Job DescriptionMachine Learning Engineer- Fully Remote £700-£800 pd via UmbrellaInitially for 6 monthsGlobal Ecommerce business is looking to recruit a Machine Learning Engineer to work on greenfield projects and AI products. Role:The Machine Learning Engineer will play a crucial role in the development and implementation of state-of-the-art machine learning models and AI algorithmsThis is a hands-on engineering role where you will spend the majority of your time writing code in Python to design, build, and deploy machine learning solutions.Experience/ skills:Proven experience working as a Machine Learning Engineer or similar role, with a strong emphasis on engineeringProficiency in Python programming and experience with relevant libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, etc.Extensive experience of deploying a cloud platform (GCP, AWS or Azure)Strong proficiency in NumPy for numerical computing and data manipulation tasks.Proven knowledge of Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.) as well as state-of-the-art research area (e.g. NLP, Transfer Learning etc.) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc.)Bachelor’s degree or higher in Computer Science, Engineering, Mathematics, or a related field.Any demand forecasting or time series forecasting experience is highly desirable.Please get in touch for more details.

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