Cambridge, England, United Kingdom Hybrid / WFH Options
Neutreeno
codebase with multiple collaborators via version control tools (i.e. git, GitHub etc.) Experience with data scrapping (e.g. Beautiful Soup), extraction (e.g. LLMs) and cleaning. Knowledge with uncertainty quantification and probabilisticmodelling approaches such as Bayesian optimisation Experience with cloud deployment pipelines (Docker, cloud platforms, AWS, CI/CD) Familiarity with sustainability or environmental data standards and frameworks What More ❯
cambridge, east anglia, united kingdom Hybrid / WFH Options
Neutreeno
codebase with multiple collaborators via version control tools (i.e. git, GitHub etc.) Experience with data scrapping (e.g. Beautiful Soup), extraction (e.g. LLMs) and cleaning. Knowledge with uncertainty quantification and probabilisticmodelling approaches such as Bayesian optimisation Experience with cloud deployment pipelines (Docker, cloud platforms, AWS, CI/CD) Familiarity with sustainability or environmental data standards and frameworks What More ❯
learning through one of the most established Master's programmes in this field. Our one-year MSc offers modules spanning artificial intelligence and deep learning to digital finance and probabilisticmodelling, enabling you to craft a future career in a range of fields. This programme is one of the most established in ML and combines foundational ML principles More ❯
Research Fellows and Postdocs in Probabilistic Machine Learning and Bayesian Inference Aug 11, 2021 Research Fellows and Postdocs in Probabilistic Machine Learning and Bayesian Inference I am looking for researchers to my new team in Manchester, UK, funded by the UKRI Turing AI World-Leading Researcher Fellowship programme "Human-AI Research Teams - Steering AI in Experimental Design and … Decision-Making". Closing date of call: September 6, 2021. The research is fundamental research in probabilisticmodelling and Bayesian inference, applied to the exciting problems of how do we steer machine learning systems. Particularly challenging is to steer when we cannot (yet) precisely specify our goal, and ultimately we would like to have machine learning systems that More ❯
time-series data - and they’re looking for a Senior Data Scientist to help shape the future of proteomics. You’ll lead end-to-end projects applying deep learning, probabilisticmodelling, and dynamic programming to biological datasets, working closely with scientists and engineers to turn research into production-grade tools. This is your chance to bring cutting-edge More ❯
time-series data - and they’re looking for a Senior Data Scientist to help shape the future of proteomics. You’ll lead end-to-end projects applying deep learning, probabilisticmodelling, and dynamic programming to biological datasets, working closely with scientists and engineers to turn research into production-grade tools. This is your chance to bring cutting-edge More ❯
time-series data - and they’re looking for a Senior Data Scientist to help shape the future of proteomics. You’ll lead end-to-end projects applying deep learning, probabilisticmodelling, and dynamic programming to biological datasets, working closely with scientists and engineers to turn research into production-grade tools. This is your chance to bring cutting-edge More ❯
complex, noisy time-series data - and theyre looking for a Senior Data Scientist to help shape the future of proteomics. Youll lead end-to-end projects applying deep learning, probabilisticmodelling, and dynamic programming to biological datasets, working closely with scientists and engineers to turn research into production-grade tools. This is your chance to bring cutting-edge More ❯
time-series data - and they’re looking for a Senior Data Scientist to help shape the future of proteomics. You’ll lead end-to-end projects applying deep learning, probabilisticmodelling, and dynamic programming to biological datasets, working closely with scientists and engineers to turn research into production-grade tools. This is your chance to bring cutting-edge More ❯
time-series data - and they’re looking for a Senior Data Scientist to help shape the future of proteomics. You’ll lead end-to-end projects applying deep learning, probabilisticmodelling, and dynamic programming to biological datasets, working closely with scientists and engineers to turn research into production-grade tools. This is your chance to bring cutting-edge More ❯
time-series data - and they’re looking for a Senior Data Scientist to help shape the future of proteomics. You’ll lead end-to-end projects applying deep learning, probabilisticmodelling, and dynamic programming to biological datasets, working closely with scientists and engineers to turn research into production-grade tools. This is your chance to bring cutting-edge More ❯
london (city of london), south east england, united kingdom
Understanding Recruitment
time-series data - and they’re looking for a Senior Data Scientist to help shape the future of proteomics. You’ll lead end-to-end projects applying deep learning, probabilisticmodelling, and dynamic programming to biological datasets, working closely with scientists and engineers to turn research into production-grade tools. This is your chance to bring cutting-edge More ❯
time-series data - and they’re looking for a Senior Data Scientist to help shape the future of proteomics. You’ll lead end-to-end projects applying deep learning, probabilisticmodelling, and dynamic programming to biological datasets, working closely with scientists and engineers to turn research into production-grade tools. This is your chance to bring cutting-edge More ❯
translating cutting-edge research into production systems Advanced degree (PhD preferred) in quantitative discipline Extensive Python programming/modeling experience, and deep expertise in ML for time-series and probabilistic modeling Having an established network in computational biology/ML communities would be desirable as well as high-impact publications or open-source contributions, biotech regulatory experience, and ability More ❯
translating cutting-edge research into production systems Advanced degree (PhD preferred) in quantitative discipline Extensive Python programming/modeling experience, and deep expertise in ML for time-series and probabilistic modeling Having an established network in computational biology/ML communities would be desirable as well as high-impact publications or open-source contributions, biotech regulatory experience, and ability More ❯
Previous industry experience is helpful. You have experience in one or more of the following fields: generative modeling, machine learning, music information retrieval, speech processing, audio processing, signal processing, probabilistic modeling, computer vision, or related areas. You have publications in communities such as ICASSP, ISMIR, INTERSPEECH, ICLR, AAAI, IJCAI, NeurIPS, ICML, CVPR, ECCV, ICCV, or related. You have strong More ❯
Be the data science voice at conferences and industry forums You Bring Proven success building and leading data science or ML teams Strong technical foundation in time-series ML , probabilisticmodelling , or advanced analytics Hands-on experience taking ML research into production environments Exceptional communication and stakeholder management skills PhD in a quantitative field (or equivalent experience) 10+ More ❯
Be the data science voice at conferences and industry forums You Bring Proven success building and leading data science or ML teams Strong technical foundation in time-series ML , probabilisticmodelling , or advanced analytics Hands-on experience taking ML research into production environments Exceptional communication and stakeholder management skills PhD in a quantitative field (or equivalent experience) 10+ More ❯
experience in US sports such as the NBA, NFL, College Basketball, or NHL. 2+ years experience developing predictive models in a sports context Strong skills in Python, statistics, and probabilisticmodelling A genuine passion for applying quantitative research to sports performance and markets More ❯
sports such as the NBA, NFL, College Basketball, or NHL. You’ll need: 2+ years’ experience developing predictive models in a sports context Strong skills in Python, statistics, and probabilisticmodelling A genuine passion for applying quantitative research to sports performance and markets If this sounds like you, please apply here or reach out directly to lucia.paolinelli@harringtonstarr.com More ❯
sports such as the NBA, NFL, College Basketball, or NHL. You’ll need: 2+ years’ experience developing predictive models in a sports context Strong skills in Python, statistics, and probabilisticmodelling A genuine passion for applying quantitative research to sports performance and markets If this sounds like you, please apply here or reach out directly to lucia.paolinelli@harringtonstarr.com More ❯
sports such as the NBA, NFL, College Basketball, or NHL. You’ll need: 2+ years’ experience developing predictive models in a sports context Strong skills in Python, statistics, and probabilisticmodelling A genuine passion for applying quantitative research to sports performance and markets If this sounds like you, please apply here or reach out directly to lucia.paolinelli@harringtonstarr.com More ❯
london (city of london), south east england, united kingdom
Harrington Starr
sports such as the NBA, NFL, College Basketball, or NHL. You’ll need: 2+ years’ experience developing predictive models in a sports context Strong skills in Python, statistics, and probabilisticmodelling A genuine passion for applying quantitative research to sports performance and markets If this sounds like you, please apply here or reach out directly to lucia.paolinelli@harringtonstarr.com More ❯
sports such as the NBA, NFL, College Basketball, or NHL. You’ll need: 2+ years’ experience developing predictive models in a sports context Strong skills in Python, statistics, and probabilisticmodelling A genuine passion for applying quantitative research to sports performance and markets If this sounds like you, please apply here or reach out directly to lucia.paolinelli@harringtonstarr.com More ❯
in Japan, and 1 in Seattle to build the future of advanced metal components. To do this it uses proprietary software packages which combine advanced machine learning and physical modelling to invent better alloys, devise better ways to process them, and design better 3D-printed components. Responsibilities Design, develop and validate novel machine learning models to optimize manufacturing processes … encourages innovation through collaboration Natural problem-solver with a desire to learn Organised and self-motivated Desired Skills Master’s degree in machine learning, mathematics or statistics Understanding of probabilistic model development Experience of Bayesian modelling Good understanding of software design principles and best practices Good knowledge of at least one object-oriented language Familiarity with cloud platforms More ❯
