
Jonathan Sands
ML engineer
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À propos
Looking for a full-time job as a Machine Learning engineer in Paris or nearby.
Expérience
Data Scientist at Deep Blue Capital (10-2022 – 02-2023)
- 5-month stock mid-price prediction project using Deep Learning (LSTMs)
ML Engineer at Deep Blue Capital (10-2024 – Present)
- Leveraging financial news streams across 500+ stocks for market prediction using a mixture of LLMs and ML models, with iterative model evaluation
Experienced Data Consultant at Amaris Consulting (Data center of excellence) (02-2023 – 09-2025)
Lead ML engineer / scientist at CEVA Logistics (10-2024 – 08-2025)
R&D on air spot price prediction across 1- to 4-week forecast horizons using data engineering and ML on Dataiku
Lead data engineer at Proximus (02-2024 – 10-2024)
Automating daily Big Data quality monitoring across 3 data zones and 4 storage / streaming systems (Hive, HDFS, ELK, Kafka) using the Apache ecosystem
Data scientist at UCB (02-2023 – 09-2023)
R&D on detecting 2- to 10-second epileptic seizures in 256 Hz EEG recordings with Deep Learning (CNN / LSTM mix)
Intern data analyst at EAC / European Space Agency (03-2022 – 09-2022)
- Data analytics on the Astronaut Training Database during a 6-month internship for knowledge discovery
Intern data scientist at SIREHNA (04-2021 – 09-2021)
- R&D for autonomous vessels during a 6-month project using Reinforcement Learning (+CNN)
Formation
Bachelor in Mathematics in Mathematics – ULB / Sorbonne Université (2023)
Engineering degree (Master's) in AI & Data in AI & Data – ESILV (2019 – 2022)
Undergraduate in Computer Science and Software Engineering in Computer Science and Software Engineering – EPITA (2016 – 2019)