1 to 25 of 31 Permanent Probabilistic Modelling Jobs

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 probabilistic modelling 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 ❯

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 probabilistic modelling 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 probabilistic modelling, 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 probabilistic modelling 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, probabilistic modelling, 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, probabilistic modelling, 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, probabilistic modelling, 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, probabilistic modelling, 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, probabilistic modelling, 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, probabilistic modelling, 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, probabilistic modelling, 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 ❯

synthesize, and analyze data; summarize findings; develop conclusions and recommendations from appropriate data sources Experience with sensor data such as Radar and various infrared sensors Experience developing and implementing probabilistic models to combine sensor data such as Bayesian reasoning, Kalman filtering and evidence theory Experience with advanced probability statistics and applying in real world scenarios Travel: 10% Drug Free More ❯

synthesize, and analyze data; summarize findings; develop conclusions and recommendations from appropriate data sources Experience with sensor data such as Radar and various infrared sensors Experience developing and implementing probabilistic models to combine sensor data such as Bayesian reasoning, Kalman filtering and evidence theory Experience with advanced probability statistics and applying in real world scenarios Travel: 10% Drug Free More ❯

synthesize, and analyze data; summarize findings; develop conclusions and recommendations from appropriate data sources Experience with sensor data such as Radar and various infrared sensors Experience developing and implementing probabilistic models to combine sensor data such as Bayesian reasoning, Kalman filtering and evidence theory Experience with advanced probability statistics and applying in real world scenarios Travel: 10% Drug Free 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 probabilistic modelling 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 probabilistic modelling 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 probabilistic modelling 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 ❯

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 ❯

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 ❯

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 ❯

a trillion-dollar industry, and you’re motivated by seeing your work have immediate business impact, we’d love to hear from you. Your responsibilities Innovate on Solvo’s modelling and decision making solution. Create value for customers through application of ML principles and best practice. Strive for high quality and robust outcomes. Continuously ensure we are using the … most appropriate ML modelling techniques for customer projects and our product offerings. Design and develop production-grade software, ensuring scalability and performance. Collaborate closely with scientists and engineers in an agile team environment. Facilitate understanding of our AI solutions internally and externally. Continuously develop your own AI/ML and engineering skills. Essential skills and experience Academic or industrial … research experience in machine learning, especially probabilistic models and Bayesian statistics. Proficiency in designing and programming advanced ML algorithms. Ability to apply state-of-the-art research to real-world problems. Proficiency in operating and evolving advanced ML systems in a production environment. Strong communication skills with the ability to convey complex ideas to both technical and non-technical More ❯