Probabilistic Modelling Jobs in Slough

3 of 3 Probabilistic Modelling Jobs in Slough

Lead Data Scientist

slough, 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, 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 ❯
Posted:

Sports modeller

slough, 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 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 ❯
Posted:

Machine Learning Engineer

slough, south east england, united kingdom
Solvo.ai
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 ❯
Posted: