126 to 150 of 183 NumPy Jobs in England

business application Experience in Computer Vision modelling and techniques PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunities employer. We believe passionately that employing a More ❯

Experience in building machine learning models for business application PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Our inclusive culture empowers Amazonians to deliver the best results for our More ❯

Degree in a STEM subject, preferably from a Russell Group University. Strong mathematical and statistical background; expertise in Python and R, including libraries like Numpy, Pandas, Pytorch and Scikit-learn. Demonstrable experience in data science and a proven track record in developing predictive models. Experience contributing to a software project More ❯

supervised and unsupervised learning, deep learning (CNNs, RNNs, GANs), and reinforcement learning. Data Handling: Proficient in data manipulation and analysis using tools like Pandas, NumPy, and SQL. Experience working with large datasets. Category: Software About the Organization: ioMosaic is an integrated process safety and risk management consulting firm focused on More ❯

Hands-on experience building or significantly overhauling a data system or centralised reporting platform. Proficiency in Python for data automation and transformation (e.g. pandas, NumPy). Strong working knowledge of SQL and relational databases (e.g. MySQL, PostgreSQL). Comfortable working with large datasets (CSV/Excel/API-based) and More ❯

What you will bring: Essential: 5+ years of experience in data science, machine learning, or AI innovation. Strong coding skills in Python (e.g., Pandas, NumPy, TensorFlow, PyTorch) and SQL. Proven experience deploying ML models in production environments. 3+ years in a leadership or mentorship role within AI or data teams. More ❯

field. Proven experience of large-scale data analysis and hypothesis testing. Strong proficiency in statistical analysis and predictive modeling. Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. Excellent problem-solving skills and attention to detail. Strong communication skills with the ability to More ❯

data mining, parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Our inclusive culture empowers Amazonians to deliver the best results for our More ❯

applications Expertise with MLOps tools and practices (e.g., Docker, CI/CD pipelines, monitoring frameworks). Strong proficiency in Python and libraries like Pandas, NumPy, and scikit-learn, with familiarity in frameworks like TensorFlow or PyTorch being a plus Cloud experience—AWS preferred - including deploying and managing models in cloud More ❯

Experience with neural deep learning methods and machine learning. PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Our inclusive culture empowers Amazonians to deliver the best results for our More ❯

and probabilistic models, clustering algorithms, classification models and time series techniques in a production environment. Proficiency with Python and all related Data Science libraries (numpy, pandas, matplotlib, etc.), and SQL with excellent analytical and algorithmic skills. A proven record for successful implementation of translating business requirements into a technical solution. More ❯

DINO or similar. Technical knowledge of relevant ML performance metrics and how to apply them to monitor models. Strong knowledge of Python (such as numpy, pandas, matplotlib, streamlit, and opencv). Strong knowledge of modern programming paradigms (OOP, functional programming etc). Ability to write clean, robust, readable, error handling More ❯

and in line with your strengths and interests, you may be asked to work outside your job description. Our tech stack Languages: Python (PyTorch, NumPy, OpenCV) ML Frameworks: PyTorch, TensorFlow, OpenCV Infrastructure: AWS, GCP, Docker, Kubernetes, MLFlow MLOps Tools: DVC, Weights & Biases, TensorRT Version Control & CI/CD: GitHub, GitLab More ❯

ability to mentor colleagues, drive projects forward, and influence stakeholders. You should apply if you: Have a strong technical background, including proficiency in Python (NumPy, Pandas, Scikit-Learn, etc.), SQL, and cloud platforms such as GCP or AWS. Have experience working with modern databases like BigQuery, Snowflake, or Redshift. Have More ❯

ability to mentor colleagues, drive projects forward, and influence stakeholders. You should apply if you: Have a strong technical background, including proficiency in Python (NumPy, Pandas, Scikit-Learn, etc.), SQL, and cloud platforms such as GCP or AWS. Have experience working with modern databases like BigQuery, Snowflake, or Redshift. Have More ❯

analyst in a dynamic, fast-paced environment; retail focus preferred. You have experience extracting data from databases using SQL and analysing data using Python (NumPy, Pandas, etc.). You have a bachelor degree in a quantitative subject. You are capable of acting as a trusted advisor when presenting data and More ❯

require the ability to become a fluent Python programmer in a short timeframe An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A More ❯

ML algorithms and techniques, including LLMs, GenAI, and automated AI systems. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and data science libraries (e.g., NumPy, pandas, scikit-learn). Proficiency in Python, R, or other relevant programming languages. Proficiency in working with large datasets, data wrangling, and data preprocessing. Experience More ❯

ML algorithms and techniques, including LLMs, GenAI, and automated AI systems. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and data science libraries (e.g., NumPy, pandas, scikit-learn). Proficiency in Python, R, or other relevant programming languages. Proficiency in working with large datasets, data wrangling, and data preprocessing. Experience More ❯

in a model. Familiarity with Python and the packages widely used in data science and machine learning. Developers should be familiar with libraries like NumPy, pandas, scikit-learn, TensorFlow, and PyTorch. Fluency in validation and evaluation framework and metrics frameworks for machine learning such as Accuracy, Recall, F1 scores and More ❯

in a model. Familiarity with Python and the packages widely used in data science and machine learning. Developers should be familiar with libraries like NumPy, pandas, scikit-learn, TensorFlow, and PyTorch. Fluency in validation and evaluation framework and metrics frameworks for machine learning such as Accuracy, Recall, F1 scores and More ❯

of experience in a data-driven role, with exposure to: building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch, JAX), especially including deep learning applications; developing models for bespoke problem settings that involve high-dimensional data (spatiotemporal, geometric, physical); iterating on More ❯

solutions. Own the reliability, performance, and scalability of data infrastructure. Recruit and lead a growing team of data engineers. Tech Stack Python (3.10+), Pandas, NumPy PostgreSQL (TimescaleDB), SQL optimization RabbitMQ, ZeroMQ, Linux servers Prometheus, Grafana, Zabbix Requirements 5+ years of Data Engineering experience with expertise in Python and SQL. Proven More ❯

solutions. Own the reliability, performance, and scalability of data infrastructure. Recruit and lead a growing team of data engineers. Tech Stack Python (3.10+), Pandas, NumPy PostgreSQL (TimescaleDB), SQL optimization RabbitMQ, ZeroMQ, Linux servers Prometheus, Grafana, Zabbix Requirements 5+ years of Data Engineering experience with expertise in Python and SQL. Proven More ❯

projects. Requirements Bachelor's degree in Computer Science, Engineering, or a related field (Master's preferred). Strong Python skills, especially with libraries like Numpy, Pandas, and Polars. At least 5 years of Python development experience. Excellent problem-solving skills and ability to work well in a fast-paced, collaborative More ❯