Royston, Hertfordshire, South East, United Kingdom
Vector Recruitment Ltd
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 platforms. Experience with emerging technologies such as more »
Southampton, Hampshire, South East, United Kingdom Hybrid / WFH Options
Ordnance Survey Limited
code, Design Patterns) ? Experience mentoring or advocating best practice to team members. Technologies We Use : Python (including Data Science libraries such as NumPy, Pandas, Matplotlib, PyTorch), AzureML, QGIS. Our wider team also uses Esri ArcPro and geoprocessing tools, FME, Bicep, Azure Batch, Azure Pipelines, YAML, SQL. Remember, you don't more »
Borehamwood, England, United Kingdom Hybrid / WFH Options
Addition+
scripting, batch processing, and stream processing. Experience with or at least an interest in Machine Learning and widely used technologies, such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, and PyTorch. Knowledgeable about key MLOps concepts such as CI (including data aspects), CD (specific to ML), CT (Continuous Training), feature stores more »
Sheffield, England, United Kingdom Hybrid / WFH Options
Twinkl Educational Publishing
with a track record of adding value Proficient in Python and SQL Familiarity with data analysis and visualisation tools such as Tableau, pandas, or matplotlib Quick learner with the ability to acquire and apply new skills independently Excellent presentation skills Ability to work independently and thrive in a collaborative team more »
South East London, England, United Kingdom Hybrid / WFH Options
Opus Recruitment Solutions
or get in touch at tom.hannah@opusrs.com.Data Scientist/Analyst - London - Hybrid - £50,000-£60,000SQL, Python, Machine Learning, Git, Excel, Pandas, NumPy, Seaborn, Matplotlibmore »
those insights into practical modelling solutions that can deploy to production.About youStrong Python experience, including DS libraries such as NumPy, SciPy, Pandas, Seaborne/MatPlotLib etcExperience working with large datasets in SQL and RDBMSs, and ability to identify and fix data quality issues & perform initial exploratory data analysisInterest in sports more »