76 to 98 of 98 NumPy Jobs in England

recommendations to non-technical stakeholders. Ideal Qualifications: Strong applied data science or analytics experience in business settings. Proficiency in Python or R (pandas, NumPy, Jupyter) and strong SQL skills. Experience with data visualization tools (e.g., Tableau, Power BI). Solid understanding of statistical modeling, experimentation, and A/B testing. ...

recommendations to non-technical stakeholders. Ideal Qualifications: Strong applied data science or analytics experience in business settings. Proficiency in Python or R (pandas, NumPy, Jupyter) and strong SQL skills. Experience with data visualization tools (e.g., Tableau, Power BI). Solid understanding of statistical modeling, experimentation, and A/B testing. ...

recommendations to non-technical stakeholders. Ideal Qualifications: Strong applied data science or analytics experience in business settings. Proficiency in Python or R (pandas, NumPy, Jupyter) and strong SQL skills. Experience with data visualization tools (e.g., Tableau, Power BI). Solid understanding of statistical modeling, experimentation, and A/B testing. ...

recommendations to non-technical stakeholders. Ideal Qualifications: Strong applied data science or analytics experience in business settings. Proficiency in Python or R (pandas, NumPy, Jupyter) and strong SQL skills. Experience with data visualization tools (e.g., Tableau, Power BI). Solid understanding of statistical modeling, experimentation, and A/B testing. ...

recommendations to non-technical stakeholders. Ideal Qualifications: Strong applied data science or analytics experience in business settings. Proficiency in Python or R (pandas, NumPy, Jupyter) and strong SQL skills. Experience with data visualization tools (e.g., Tableau, Power BI). Solid understanding of statistical modeling, experimentation, and A/B testing. ...

recommendations to non-technical stakeholders. Ideal Qualifications: Strong applied data science or analytics experience in business settings. Proficiency in Python or R (pandas, NumPy, Jupyter) and strong SQL skills. Experience with data visualization tools (e.g., Tableau, Power BI). Solid understanding of statistical modeling, experimentation, and A/B testing. ...

recommendations to non-technical stakeholders. Ideal Qualifications: Strong applied data science or analytics experience in business settings. Proficiency in Python or R (pandas, NumPy, Jupyter) and strong SQL skills. Experience with data visualization tools (e.g., Tableau, Power BI). Solid understanding of statistical modeling, experimentation, and A/B testing. ...

recommendations to non-technical stakeholders. Ideal Qualifications: Strong applied data science or analytics experience in business settings. Proficiency in Python or R (pandas, NumPy, Jupyter) and strong SQL skills. Experience with data visualization tools (e.g., Tableau, Power BI). Solid understanding of statistical modeling, experimentation, and A/B testing. ...

recommendations to non-technical stakeholders. Ideal Qualifications: Strong applied data science or analytics experience in business settings. Proficiency in Python or R (pandas, NumPy, Jupyter) and strong SQL skills. Experience with data visualization tools (e.g., Tableau, Power BI). Solid understanding of statistical modeling, experimentation, and A/B testing. ...

recommendations to non-technical stakeholders. Ideal Qualifications: Strong applied data science or analytics experience in business settings. Proficiency in Python or R (pandas, NumPy, Jupyter) and strong SQL skills. Experience with data visualization tools (e.g., Tableau, Power BI). Solid understanding of statistical modeling, experimentation, and A/B testing. ...

recommendations to non-technical stakeholders. Ideal Qualifications: Strong applied data science or analytics experience in business settings. Proficiency in Python or R (pandas, NumPy, Jupyter) and strong SQL skills. Experience with data visualization tools (e.g., Tableau, Power BI). Solid understanding of statistical modeling, experimentation, and A/B testing. ...

recommendations to non-technical stakeholders. Ideal Qualifications: Strong applied data science or analytics experience in business settings. Proficiency in Python or R (pandas, NumPy, Jupyter) and strong SQL skills. Experience with data visualization tools (e.g., Tableau, Power BI). Solid understanding of statistical modeling, experimentation, and A/B testing. ...

Build and deploy predictive ML models Mentor junior team members What you'll bring 4+ years' experience in data science Strong Python skills (pandas, numpy, PyTorch etc.) Experience with traditional ML techniques and statistical analysis Solid consulting skills - communication, problem-solving, stakeholder engagement Eligible for SC Security Check clearance Benefits ...

government or large-scale enterprise environment. Strong Python programming skills, including experience with data science and AI/ML frameworks (e.g., Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow). Experience developing and fine-tuning LLMs and working with generative AI tools. Hands-on experience with Microsoft Azure (Azure ML, Databricks ...

adoption of data-driven solutions. Essential Skills & Experience Background in Data Science with experience in project management. Proficiency in Python and the data stack (NumPy, Pandas, etc.). Experience in Microsoft Azure data science environments. Understanding of project management methodologies and change management. Ability to manage multiple projects simultaneously ...

electronics, physics or computer science and have significant skills and experience in the following areas: - Expert Python proficiency for data analysis and prototyping (NumPy, SciPy, PyTorch). - Demonstrable applied experience of digital signal processing (FFT, modulation, noise modelling, resampling). - Experience with SDR frameworks (GNU Radio, SDRangel, SoapySDR). - Understanding ...

apply machine learning and statistical models for classification, anomaly detection, and emitter identification. You will prototype real-time and batch-processing systems using Python (NumPy, SciPy, PyTorch) and integrate them with frameworks such as GNU Radio, ZMQ, or C++ backends. The role involves leading RF data collection, field experiments ...

Engineer Machine Learning Engineer - AI for Advanced Materials - Oxford (Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform) We're looking for a Machine Learning Engineer to join a rapidly scaling … some or all of the following (full training provided to fill any gaps): Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, Pandas, NumPy, SciPy, CI/CD, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform, Azure, AWS, GCP, Git, and Agile methodologies. Join a team that's fusing AI, science ...

London-based Financial Services Clients. You will need: Extensive hands-on development experience with Python within Financial Services Strong background working with Pandas & NumPy Good experience with Django and Javascript Strong experience working within a risk environment Proficiency with Python libraries such as NumPy, Pandas, Paramiko, etc. What ...

London-based Financial Services Clients. You will need: Extensive hands-on development experience with Python within Financial Services Strong background working with Pandas & NumPy Good experience with Django and Javascript Strong experience working within a risk environment Proficiency with Python libraries such as NumPy, Pandas, Paramiko, etc. What ...

Language Models(GPT, Claude), Generative AI, Retrieval Augmented Generation. Agentic AI, CoPilot, MCPs. AIML Algorithms(Regression, Classification, Decision Trees, KNN, K-Means) Python (NLTK, NumPy, Scikit-learn, Pandas) Candidates will be expected to work on developing & implementing AIML Solutions for Test Automation in the Securities Processing space. This will entail … Front End experience in React to build front end for the AIML solutions is a plus. Hands- on experience with Python libraries like(NLTK, NumPy, Scikit-learn, Pandas). Knowledge of AIML algorithms (Regression, Classification, Decision Trees, KNN, K-Means) is preferred. Experience with building, training & finetuning AIML models ...

inference accuracy Developing ML and statistical models for RF classification, anomaly detection, and emitter identification Prototyping real-time or batch-processing systems in Python (NumPy, SciPy, PyTorch) with potential integration via ZMQ, GNU Radio, or C++ backends Leading RF data collection, field experiments, and over-the-air testing using drones … wireless devices, and custom transmitters Requirements Strong Python proficiency for RF data analysis and prototyping (NumPy, SciPy, matplotlib, scikit-learn, PyTorch) Solid understanding of DSP fundamentals (FFT, filtering, modulation, correlation, noise modelling, resampling) Familiarity with SDR frameworks such as GNU Radio, SDRangel, osmoSDR, or SoapySDR Practical understanding of RF hardware ...

inference accuracy Developing ML and statistical models for RF classification, anomaly detection, and emitter identification Prototyping real-time or batch-processing systems in Python (NumPy, SciPy, PyTorch) with potential integration via ZMQ, GNU Radio, or C++ backends Leading RF data collection, field experiments, and over-the-air testing using drones … wireless devices, and custom transmitters Requirements Strong Python proficiency for RF data analysis and prototyping (NumPy, SciPy, matplotlib, scikit-learn, PyTorch) Solid understanding of DSP fundamentals (FFT, filtering, modulation, correlation, noise modelling, resampling) Familiarity with SDR frameworks such as GNU Radio, SDRangel, osmoSDR, or SoapySDR Practical understanding of RF hardware ...