What's required for this Junior Python Developer position? MSc/PhD in a STEM discipline Strong Python development proficiency Experience with Python libraries - NumPy, Pandas, Polars etc Bonus: Knowledge of financial markets or quantitative finance conceptsIf you are a Junior Python Developer and you are looking to join an more »
development skills (OOP) Experience working in a hardware-development context - Scientific Instrumentation/industrial process control/electronics/imaging Scientific application development experience - NumPy, SciPy etc Interfacing with hardware as serial, USB, CANbus or PLC networking devices Excellent technical communication skillsIf you are a Senior Python Software Engineer and more »
up environment. Proficiency in programming languages such as Python, R, or Java, as well as experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, SciPy). Strong knowledge of machine learning techniques and algorithms (e.g., regression, classification, clustering, neural networks). Experience with data visualization tools (e.g., Matplotlib, Seaborn more »
Cambridge, Cambridgeshire, East Anglia, United Kingdom Hybrid / WFH Options
Set2Recruit
ecologists to customize methodologies for optimal outcomes. Lead and guide a team of highly skilled professionals. Requirements : Proficiency in Python, including libraries such as numpy, pandas, and scikit-learn Experience with deep learning frameworks (PyTorch, JAX, Keras, Tensorflow) Strong theoretical understanding of machine learning and neural networks Experience with containerized more »
interacting with others in the team to clarify needs and iterate quickly. C/C++ native coding experience. Preferred skills Experience with python, e.g., numpy, etc. Knowledge of scientific computing, e.g. image processing techniques. Experience working with hardware (not everything can be debugged offline) Key Responsibilities: Designing, implementing, and testing more »
Cambridgeshire, Royston, Hertfordshire, United Kingdom
Vector Recruitment
and building and training deep learning models. Creating and handling large datasets including pre-processing steps and familiarity with data manipulation libraries like Pandas, NumPy, and data visualization tools such as Matplotlib or Seaborn. Hands-on experience of building ML solutions for resource-constrained situations and deploying to edge-processing more »
