Hire remote machine learning engineers near Manchester or in a similar time zone
Fuad Issa
Freelance Machine Learning Engineer
Fuad is an experienced machine learning engineer and data scientist with a background in building major, scalable production systems for information extraction and knowledge base population. He enjoys designing and creating a state of art solutions for custom NLP problems. Fuad is proficient in recent advances and models to build semantic search systems, information extraction, and recommender systems utilizing NLU technologies.
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Maximilian Hopf
Freelance Machine Learning Engineer
Max is a data science and machine learning expert specializing in deep learning and natural language processing. He helped build one of Germany's most highly funded fintechs and successfully founded his own AI company in London. Max's work has resulted in the publication of a scientific paper, increased marketing accuracy through advanced analytics, and built reliable models for the prediction of sports events and customer behavior.
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Dr. Harry Pratt
Freelance Machine Learning Engineer
Harry has an aptitude—and enjoyment—for applying the latest deep learning and machine learning methods to commercial problems. He's applied this knowledge to research during his Ph.D. in deep learning and throughout his commercial experience in the health care and mobile gaming industries. Harry has hands-on experience in developing and delivering the vast majority of machine learning models from simple logistic regression models to large-scale computer vision models.
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Lee Hodgkinson
Freelance Machine Learning Engineer
Lee is a senior back-end developer with eight years of experience working for various startups. He has a PhD in physics and received a prestigious EPSRC prize. He specializes in writing scalable, well-tested, production-ready, and clean pythonic code as an expert in the Python ecosystem and its various libraries and frameworks. Lee is proficient in machine learning, TensorFlow, PyTorch, NumPy, pandas, and scikit-learn, and writing large-scale web scrapers and ETL pipelines.
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Daniel Burkhardt Cerigo
Freelance Machine Learning Engineer
With over four years of experience under his belt, Daniel is a detail-oriented data scientist specializing in predictive modeling and optimization via reinforcement learning. Along with evident leadership and communication skills (proven in his role as a chairperson for an international peace-education nonprofit), he’s driven to create measurable impact for organizations. Daniel also has a master’s degree in physics and philosophy from Oxford.
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Diego Ignacio Lopez
Freelance Machine Learning Engineer
Diego is a specialist machine learning developer who is currently conducting academic research on advanced, data-driven reduced-order modeling techniques. His experience includes working with Fortune 500 companies in the aerospace industry, developing models for statistical learning, optimization, uncertainty quantification, and characterization of complex systems.
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Jordan Burgess
Freelance Machine Learning Engineer
Jordan is a machine learning researcher and full-stack engineer. He works as a research scientist at Amazon on in NLP and ML. He has six years professional software development experience working in data science, front-end web, and Android technologies. Jordan has a master's degree in machine learning from Cambridge University and a M.Eng. degree in engineering from Cambridge and MIT.
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Harsha H S
Freelance Machine Learning Engineer
Harsha has nearly two decades of experience in software design, architecture, development, and testing across a broad spectrum, from low-level silicon validation, board bring-ups, and device drivers to scalable distributed databases, route planning for autonomous vehicles, and AI applications. He has worked at startups alongside co-founders to bring ideas to life and at MNCs with geographically distributed cross-functional teams. Harsha believes in "simplicity well-tested and -documented."
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Ioannis Melas
Freelance Machine Learning Engineer
Ioannis is a data scientist with expertise in prototyping, developing, and deploying data science and ML workflows that best leverage business data. This includes exploratory analysis such as dimensionality reduction, clustering, feature extraction, model fit/parameter estimation, and supervised analysis such as classification, regression. His expertise includes both structured and unstructured data (NLP). Notable clients include the U.S. Food & Drug Administration and AstraZeneca.
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Muhammad Shoaib Ahmed Siddiqui
Freelance Machine Learning Engineer
Shoaib is part of the machine learning group at the University of Cambridge as a PhD student. Shoaib has worked on various machine learning (ML) algorithms. Most of these ideas have been published in leading journals and conferences. With his novel research background, he is extremely up-to-date with the recent papers and research going on around the world in ML; this demonstrates Shoaib's capability to integrate cutting-edge research into production.
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Carlos Miguel Pereira
Freelance Machine Learning Engineer
Carlos has a solid track record in designing and implementing data-driven solutions, including advanced predictive modeling and optimization algorithms. His academic and professional background also brought him extensive knowledge of software development, data engineering, data visualization, and project management skills. Besides having a Ph.D., Carlos has done two postgraduate courses, one general management program, and a vast number of certifications and technical courses.
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