Hire remote data scientists near London or in a similar time zone
Colan Walsh
Freelance Data Scientist
Colan has worked for 12 years as a quant developer at major investment banks and hedge funds such as Nomura, RBS, Credit Suisse, and Caxton Associates. His recent projects include an algorithmic trading platform for machine learning strategies and the creation of a unified REST API over multiple market data sources (Bloomberg, Eikon, etc.). While his background is in finance, Colan is interested in hearing about any projects where his technical expertise could be a benefit.
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Valentino Aluigi
Freelance Data Scientist
Valentino is a hands-on technical lead/senior Agile developer specialized in web and service-oriented applications and dynamic languages (JavaScript, Ruby, PHP, Python, etc.). He is passionate about working with motivated teams and getting things done.
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Maximilian Hopf
Freelance Data Scientist
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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Iliyan Zarov
Freelance Data Scientist
Iliyan is a machine learning engineer and full-stack developer with a decade of experience. He is a co-founder of an AI health-tech company backed by Europe's most prestigious accelerator. Iliyan was previously lead research engineer in the AI Research team at Babylon Health, building and scaling up the AI doctor to millions of users. Before that, he made a massively scalable distributed computing platform and worked as a quant at a hedge fund.
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Shariful Islam Foysal
Freelance Data Scientist
Foysal is a data science and applied machine learning professional with extensive experience in data analytics, statistical analysis, deep learning, natural language processing, and data mining.
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Fayaz Abdul
Freelance Data Scientist
Fayaz is a DevOps engineer and architect with experience in designing end-to-end solutions. He has extensive cloud and infrastructure expertise with multiple certifications in AWS, Azure, and Google Cloud. He specializes in monitoring tools (ELK, Zabbix, Prometheus) and automation with Python, Ansible, Terraform, and Docker. He's implemented Jenkins CI/CD pipelines to build, test, and deploy large apps including microservices with zero downtime.Â
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Oliver Laslett
Freelance Data Scientist
Oliver is a full-stack data scientist with experience delivering end-to-end data products using NLP, Bayesian methods, and predictive analytics. Oliver helped scale an AI Insuretech from seed round to recent Series B at £25 million. He has experience consulting with a wide range of enterprise clients in insurance, financial services, aerospace, and defense.
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Amr Mashlah
Freelance Data Scientist
Amr is a senior data scientist with several years of experience applying machine learning in the telecom, healthcare, and entertainment industries. Having worked with multiple startups in London, he has developed critical skills to adapt quickly to different technology stacks. He works primarily on data analytics and develops production-ready ML models. In addition to and prototyping algorithmic solutions, he enjoys communicating data science results with interactive visualisation tools.
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Stylianos Kampakis
Freelance Data Scientist
Dr. Stylianos Kampakis is an expert data scientist living and working in London. He has a Ph.D. in Machine Learning from University College London and an MSc in Informatics from The University of Edinburgh. He is a member of the Royal Statistical Society and the UCL Blockchain Centre. His skills include machine learning, statistical analysis, deep learning, natural language, and Bayesian statistics.
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Gaurav Singh
Freelance Data Scientist
Gaurav is a talented machine learning and NLP scientist with a Ph.D. from University College London. Gaurav's research focused on information extraction from unstructured text using deep learning, mainly under scarce training data constraints. He sped up convergence in training deep neural networks, improving generalization and robustness to adversarial noise, and developed an automated approach for finding promising materials from the scientific literature for making energy devices.
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Radu Nedelcu
Freelance Data Scientist
Radu has been writing code since the age of 14. He has since built a career in data science and worked on projects in computer vision, text analysis, and financial data algorithms. His engineering background paired with his algorithm expertise enables him to work on the full pipeline from idea generation to proof of concept, development of the product to bringing it to production. He's excited about his next challenge and can't wait to get started.
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