machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). - Strong background in statistical analysis and datavisualization tools (e.g., ggplot2, Matplotlib, Seaborn). - Familiarity with bioinformatics tools and databases (e.g., BLAST, Ensembl, NCBI). - Excellent problem-solving skills and ability to work in a collaborative, interdisciplinary more »
you'll bring to the team: - Proficiency in Python, including ML/DL frameworks (e.g., Scikit-learn, TensorFlow) and visualization libraries (e.g., Matplotlib, Seaborn). - Strong SQL skills and experience with datavisualization tools (e.g., Tableau). - Basic statistical analysis knowledge. - Experience in deploying production ML systems. - Familiarity more »
Science, Mathematics, Statistics, Business Administration, or related field. Advanced knowledge of SQL and Python, including popular Data Science packages such as pandas, matplotlib, seaborn, numpy, and sklearn. Familiarity with machine learning algorithms and techniques, with a deep understanding of their underlying principles. Strong problem-solving skills and meticulous more »
the following areas; Proven track record of building solutions in R and/or Python using core data science libraries such as pandas, seaborn, sklearn and statsmodels in Python, and/or R libraries such as the tidyverse family, plotly, highcharter, nloptr, R6, testthat in R Experience developing more »
the following areas; Proven track record of building solutions in R and/or Python using core data science libraries such as pandas, seaborn, sklearn and statsmodels in Python, and/or R libraries such as the tidyverse family, plotly, highcharter, nloptr, R6, testthat in R Experience developing more »
Python GNU/Linux Mathematical + Scientific Libraries (Numpy etc..) Azure NumPy, SciPy, Matplotlib, Pandas, Scikit-learn, TensorFlow, PyTorch, scikit-learn, Keras, matplotlib, seaborn, plotly, bokeh, Altair, Django, Flask, requests, BeautifulSoup, Jinja2 Humand Talent Solutions and their clients and associates do not discriminate on any of the following more »
of commercial experience within Data Scientist Prior experience of building solutions in Python (preferred) or R Knowledge of data science libraries e.g. Pandas, Seaborn, Sklearn, Statsmodels, Tidyverse Family, Plotly, Highcharter, Nloptr, R6, Testhat Knowledge of cloud computing (GCP preferred) Excellent stakeholder communication skills Experience with Dash/Flask more »
Python GNU/Linux Mathematical + Scientific Libraries (Numpy etc..) Azure NumPy, SciPy, Matplotlib, Pandas, Scikit-learn, TensorFlow, PyTorch, scikit-learn, Keras, matplotlib, seaborn, plotly, bokeh, Altair, Django, Flask, requests, BeautifulSoup, Jinja2 Humand Talent Solutions and their clients and associates do not discriminate on any of the following more »
Lead Machine Learning Engineer Our client is looking for an experienced ML/AI engineer to lead their delivery of effective ML/AI- driven solutions and processes, and to help shape their ML/AI strategy. They are looking more »
Birmingham, England, United Kingdom Hybrid / WFH Options
Digital Waffle
Lead Machine Learning Engineer Our client is looking for an experienced ML/AI engineer to lead their delivery of effective ML/AI- driven solutions and processes, and to help shape their ML/AI strategy. They are looking more »
Pet Nutrition is the most vibrant category in the FMCG sector. As we work to transform this exciting category, a new program named Shepherd, has been mobilised by the Mars Pet Nutrition leadership team. Shepherd is focused on the implementation more »
Cambridgeshire, England, United Kingdom Hybrid / WFH Options
Vector Recruitment Ltd
We have a fantastic new opportunity for an Machine Learning Engineer to join a state-of-the-art R&D company based in South Cambridgeshire. You will be working across an exciting range of different cutting-edge development projects. You more »
