6 of 6 Linear Algebra Jobs

Senior Data Scientist

Hiring Organisation
Harnham
Location
Guildford, England, United Kingdom
Experience working with deep learning frameworks such as PyTorch or TensorFlow. A solid grounding in statistics and probability, with strong mathematical foundations (calculus and linear algebra highly advantageous). Experience working across the full data science project lifecycle. A pragmatic, engineering-minded approach to data science, with ...

Data Scientist/Developer

Hiring Organisation
Accord Tecnologies.Inc
Location
Jackson, Mississippi, United States
Employment Type
Any
Salary
USD Annual
based on first principles, including developing custom statistical methods without reliance on pre-built libraries. Minimum academic math background to include full calculus series, linear algebra, and statistics. Discrete math, advanced statistics, and differential equations are a plus. Knowledge and competence in databases such as Postgres, MySQL ...

Algorithms Engineer

Hiring Organisation
SeeByte
Location
Edinburgh, Scotland, United Kingdom
Qualifications A strong academic background in mathematics, physics, engineering, or a related field (e.g., BSc/MSc/PhD). Solid understanding of statistics, linear algebra, probability, optimisation, and machine learning techniques. Experience with algorithm development, numerical methods, or physical simulation. Proficiency in at least one programming language ...

Quantitative Researcher

Hiring Organisation
Anson Mccade
Location
Central London, London, United Kingdom
Employment Type
Permanent
math, quantitative finance, or other quantitative fields with a strong foundation in statistics Demonstrated proficiency in Python Strong command of foundations of applied statistics, linear algebra, and time series models Ability to quickly and efficiently scrub, format, and manipulate large, raw data sources Knowledge of financial markets Highly ...

Senior Embedded Software Engineer

Hiring Organisation
TUALCOM
Location
Reading, England, United Kingdom
/C++ on MCUs. Demonstrable experience implementing Kalman filtering/estimation/sensor fusion in real systems (not just academic). Strong understanding of: Linear algebra basics used in filtering (matrices, covariance propagation) Noise modeling, sensor errors, bias, drift, calibration concepts Real-time embedded constraints (scheduling, interrupts, deterministic ...