8 of 8 Part-Time Pandas Jobs in London

Economics. \n Professional experience in a data science, ML engineering, or applied data role. \n Strong Python programming skills, including hands-on experience with pandas, scikit-learn, and at least one ML or deep learning framework. \n Working knowledge of Bedrock and other AWS managed services. \n Demonstrable experience building ...

Economics. \n Professional experience in a data science, ML engineering, or applied data role. \n Strong Python programming skills, including hands-on experience with pandas, scikit-learn, and at least one ML or deep learning framework. \n Working knowledge of Bedrock and other AWS managed services. \n Demonstrable experience building ...

Experience monitoring, maintaining, enhancing existing models over an extended time period \n Extensive experience with pytorch and related data science python libraries (e.g. pandas) \n Experience of containerising applications or models for deployment (Docker) \n Experience with one of the major public cloud providers (Azure, AWS, GCP) \n Ability ...

employ software engineering best practices to design, test, and deploy our data platform and services using the below technologies: \n \n Python, pandas and SQL in Jupyter notebooks for analysis \n dbt and Databricks data platform with Delta Lake \n Lightdash as our BI tool and semantic layer \n Streamlit ...

analysis.\n \n\n NICE TO HAVE BUT NOT ESSENTIAL \n \n \nProficient in python’s various data transformation, visualisation and statistics libraries i.e. pandas, numpy , scipy and plotly\n \n \nExperience leading a team or owning a whole product domain\n \n\n PROCESS \n 1) Screening call with ...

record of using mathematical, ML and software techniques to solve industrial problems and deliver business impact. \n · Modern Tech Stack: Advanced proficiency in Python (pandas, NumPy, scikit-learn) and SQL. \n · Communication: Exceptional ability to explain complex technical concepts, algorithmic trade-offs, and probabilistic outputs to non-technical business partners. ...

fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.) \n Extensive experience with pytorch, numpy, pandas \n Hands-on experience in implementing distributed/multi-threaded/scalable applications (incl. frameworks such as Ray, Horovod, DeepSpeed, etc.) \n Able to communicate technical ...

Job Description hackajob is collaborating with Vanguard to connect them with exceptional professionals for this role. \n Project Contractor \n Project Contractor \n Senior Data Engineer, Anti-Fraud Technology \n Manchester OR London \n Contract ...