101 to 125 of 187 NumPy Jobs in the UK

mongodb & kafka). Theoretical proficiency in numerical computing, online algorithms, data structures, networking, databases, and operating systems. Familiarity with typical quantitative research toolchains including Numpy, Polars, Scikitlearn, Pytorch, etc. DevOps: version control, testing frameworks, release processes, build systems. Excellent communication, problem-solving, and analytical skills. Preferred Experience Extremely strong computer ...

data and algorithms Familiarity with Python and introductory experience using machine learning frameworks such as PyTorch or TensorFlow , alongside basic data analysis tools like NumPy and Pandas , with exposure to version control using Git and collaborative platforms such as GitHub If you are passionate about AI and ready to take ...

Bayesian non‐parametrics, NLP or approximate inference. Excellent reasoning skills and mathematical ability. Strong programming skills and experience working with Python, Scikit‐Learn, SciPy, NumPy, Pandas and Jupyter Notebooks; experience with object‐oriented programming is beneficial. Publications at top conferences, such as NeurIPS, ICML or ICLR, are highly desirable. ...

engineering activities. Contribute to documentation of analytical approaches and findings. Develop skills in Python programming and machine learning fundamentals. Technical Stack Core: Python (Pandas, NumPy, scikit-learn basics) Power BI Development: Jupyter notebooks Statistical analysis What You'll Bring: A degree in Data Science, Computer Science, Mathematics, Statistics, Physics ...

every tool listed below, but you should have strong experience with most of them or equivalent technologies. Core Languages & Frameworks Python (Flask, SQLAlchemy, NumPy, Pandas) for services and analytics React, Typescript, Redux for the front end Cloud & Infrastructure AWS (ECS, Lambda, RDS, S3) Docker Linux Data, Messaging & Caching MySQL RabbitMQ ...

Practical understanding of machine learning fundamentals (classification, regression, clustering, ranking, NLP, or LLMs).• Data & ML Ecosystem: Familiarity with data processing libraries (e.g. Pandas, NumPy) and ML frameworks (e.g. PyTorch, Scikit-learn or XGBoost).• Growth Mindset: A genuine interest in distributed system and software design, concurrent algorithms, data structures ...

field Professional experience with collaborative software development Familiarity with Linux, bash, and the command line Experience with modern statistical machine learning and AI, including Numpy, Scipy, and Pandas Ability to write logical, consistent, self-explanatory code Understanding of software design patterns, SOLID and DRY principles Experience with Git/GitHub ...

skills for being effective in the role are: Technical Proficiency: Strong proficiency in Python for data analysis, machine learning and statistical modelling (e.g. pandas, NumPy, scikit‐learn), alongside familiarity with cloud‐based data platforms, preferably Google Cloud. Analytical Modelling: Proven experience developing analytical, statistical or machine learning solutions within complex ...

predictive modelling and visualisation methods and techniques. Strong skills and practical experience in Machine Learning on the Cloud (i.e. Azure, GCP or Amazon) using Numpy, Scikit Learn, Tensorflow, Keras, PyTorch or other data mining frameworks. Excellent programming skills using Python, R and other programming languages. Experience of delegating specific tasks ...

Code repositories Understanding of geospatial processing libraries including GDAL and Rasterio and general knowledge and application of standard python libraries including numpy and pandas Knowledge of AI\ML and deep-learning concepts and practices Understanding and practical experience of image analysis and classification techniques Experience in designing and implementing strategies ...

creating novel alpha signals Deep understanding of financial markets and market micro-structure Exceptional analytical and problem solving skills Expertise in using pandas, numpy, scikit-learn, statsmodels-tsa, TensorFlow, Keras, and Matplotlib libraries for data analysis Comfortable taking ownership of projects and responsibilities with minimum supervision At least a bachelors ...

long-term scalability, maintainability and reliability Contribute to the continuous improvement of engineering standards, tooling and development processes Technology Stack Python, FastAPI Pandas/NumPy SQLAlchemy, Pydantic MySQL/PostgreSQL/Redis GCP, Docker, Kubernetes Requirements Strong commercial experience building backend systems with Python Previous experience leading engineers or acting ...

self-directed way. Nice to have Cloud platform experience (AWS, GCP, Azure) DevOps: CI/CD, containers, infrastructure as code Python, particularly with NumPy, PyTorch, or Transformers Any exposure to serving or scaling ML models What we offer Ownership of key infrastructure from day one. Meaningful equity in the company. ...

Strong SQL proficiency (e.g., PostgreSQL, MySQL, SQL Server) to extract, transform, and optimize data for reporting and operational use Hands-on Python experience (Pandas, NumPy) for data manipulation and analysis, supporting scalable data workflows Understanding of data architecture, data modeling, and ETL processes to ensure efficient data integration and pipeline ...

years of experience in Software Engineering, Test Automation, AI Engineering, or Data Engineering Strong proficiency in Python and data/AI libraries (e.g., pandas, numpy, PyTorch or similar) Solid understanding of LLMs, NLP concepts, or generative AI systems Experience with test automation frameworks (e.g., PyTest, Playwright) and CI/ ...

experience with: Data Quality Data Governance techniques Knowledge of: MLOps Feature Engineering Exposure to data analysis and ML tools such as: scikit-learn pandas NumPy XGBoost LightGBM Familiarity with orchestration tools: Apache Oozie Apache Airflow Why you’ll love it here We want to make Prima a happy and empowering ...

supporting team capability growth and development. What We’re Looking For Experience as a Data Engineer with strong skills in areas such as Python, NumPy, Spark and Apache Pig. Proven experience in designing, developing and deploying scalable systems. Familiarity with CI/CD, containerisation, deployment technologies and cloud platforms (such ...

demonstrable track record of success in online data‐science competitions, such as Kaggle) Strong object‐oriented engineering skills, with experience in Python, PyTorch and NumPy desirable The ability to apply advanced optimisation methods, modern ML techniques, HPC, profiling or model‐inference expertise; you do not need to have ...

curation, training pipelines, performance optimisation, edge ML, MLOps, deployment and maintenance of ML solutions, Python development, Python-based ML frameworks, PyTorch, TensorFlow, sklearn, OpenCV, NumPy, feature development, code review, pytest, linting, bug fixing, relational databases, database design and maintenance, AWS/cloud infrastructure, CI/CD pipelines, developer tooling, Linux ...

supporting team capability growth and development. What We’re Looking For Experience as a Data Engineer with strong skills in areas such as Python, NumPy, Spark and Apache Pig. Proven experience in designing, developing and deploying scalable systems. Familiarity with CI/CD, containerisation, deployment technologies and cloud platforms (such ...

product roadmap, including how the library scales and how models reach deployed units. The Stack Language: Python, end to end. Signal processing and ML: NumPy, SciPy, scikit-learn, PyTorch. Backend and interface: FastAPI, Flask or a comparable lightweight framework. Cloud: Standard AWS, GCP or Azure SDKs. Nothing exotic. ...

data, so you will need to understand how to develop your own models. Strong programming skills and experience working with Python, scikit‐learn, SciPy, NumPy, Pandas and Jupyter. Previous experience in finance is not required, although an interest in finance and the motivation to rapidly learn more is a prerequisite ...

professional data science or quantitative academic role, underpinned by high mathematical and statistical competence. You are a strong Python programmer, proficient in essential libraries (NumPy, Pandas) and a deep-learning framework (TensorFlow/PyTorch). You possess a solid grasp of core data science techniques (supervised/unsupervised learning, time ...

data science position or a quantitative academic field.You demonstrate strong programming skills, with the ability to be a fluent Python programmer, using core libraries (NumPy, Pandas) and a deep-learning framework (e.g., PyTorch).You have a deep expertise in core data science paradigms (supervised/unsupervised, NLP, validation), demonstrating ...

equivalent experience. Solid understanding of foundational data science concepts and statistical methods. Proficiency with Python and standard data science libraries (e.g. Pandas, NumPy, Scikit-Learn). Strong problem-solving ability and enthusiasm for learning new technologies. Clear written and verbal communication skills. Curiosity to learn in an ever changing, fast ...