Hire remote Machine Learning engineers near Manchester or in a similar time zone
Maximilian Hopf
Max is a data science and machine learning expert specializing in deep learning and natural language processing. He is an expert in the finance and healthcare domains. He helped build one of Germany's most highly funded fintechs and successfully founded his own AI company in London. Max also built and led the data team of Garner Health for one of the most successful US healthtech companies, scaling the team from one to 25 people and more than $100 million in annual revenue.
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Colan Walsh
Colan is an experienced senior financial quantitative developer and researcher with experience across various asset classes and trading venues. He has a multidisciplinary background, having worked in quant development, quant research, and derivatives trading for multiple investment banks and hedge funds. Colan has built and managed teams of quant researchers from the ground up on numerous occasions.
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Niels Andriesse
Niels has a strong focus on entrepreneurial ventures and a natural aptitude for software engineering. He taught himself programming during his aerospace engineering studies, where he used his skills to develop powerful structural analysis and orbit design tools. Niels has since been a major part of multiple world-class startups, building and shipping high-end consumer-facing iOS and Android applications using languages such as Swift, Kotlin, JavaScript, Rust, and Python.
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Anna Tshngryan
Anna is a data scientist with four years of experience in data analysis and machine learning. She works on end-to-end processes, from data scraping, data collection, and pre-processing, cleaning, and data visualization to predictive modeling development. She is skilled in training a number of ML models, comparing them, and conducting error analyses. Anna is looking for projects that allow her to use data and machine learning to solve complex problems.
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Madriss Seksaoui
Madriss is a dedicated data scientist and machine learning engineer who has six years of professional experience analyzing data, building, deploying, and managing the lifecycle of machine learning models. He has worked in various industries, including email, digital marketing, insurance, and edtech. Currently focusing on healthcare, Madriss is eager to work among the best talents on the most challenging projects.
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Timo Klock
Timo is a full-stack data scientist with eight years of professional experience in data-heavy applications and a PhD in machine learning and statistics. He can work in different roles on the data lifecycle in industrial applications as a data engineer, data scientist, ML engineer, or data analyst. Timo is experienced with Python and SQL, and many modern data frameworks.
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Daniel Ruiz
Daniel is a data scientist who enjoys leveraging machine learning to guide decisions and make companies more efficient. Holding an MSc in data science and business analytics and a BSc in economics with a heavy load of statistics and econometrics, he is always eager to learn and be challenged. Over the years, Daniel has accrued experience in different sectors, like finance, healthcare, and education, and over multiple geographies, including North America, South America, and Europe.
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Charles Camp
Charles is a senior AI developer with nine years of experience deploying machine learning models, particularly LLM applications over the last two years. He has experience working with large corporations, startups, and laboratories. He is also an AWS Certified Solution Architect and can deploy models creating APIs or containerized applications.
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Mauricio Fadel Argerich
Mauricio is a machine learning (ML) scientist and software engineer with 10 years of experience in the tech industry. He's worked on projects related to ML methods and their application to IoT, published in AI and ML journals and conferences, and filed patents in the EU and US. Mauricio is skilled in various APIs, scikit-learn and pandas libraries, and many programming languages, such as Python, SQL, Objective-C, and Java, enabling him to easily implement prototypes and production-ready systems.
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Ilya Prokin
Ilya is an AI and LLM RAG advisor, AI strategist and architect, researcher, data scientist, CTO, and AI tech entrepreneur with a PhD. An expert in applied data science, machine learning, AI, and LLM fine-tuning, he has published scientific papers, scaled various MVPs to full-featured products, pitched startups, and built a strong AI community that spread to six cities. Ilya enjoys improving businesses with data, developing innovative ways to apply data and AI, and geeking out about optimization.
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Daniel Coderre
Daniel is an experienced data professional with a decade of experience in building analytical systems. He is happiest working on the full stack, from engineering storage systems and processing pipelines to data analysis, presentation, and building front-end dashboards. For the past several years, Daniel has been heavily into machine learning (ML) and has applied it to create value from real-world data. He has a PhD in experimental physics, so ML is not the only tool in his toolbox.
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