51 to 75 of 398 NumPy Jobs in the UK

building and implementing data science and machine learning solutions to tackle business problems. Comfort with rapid prototyping and disciplined software development processes. Experience with Python, ML libraries (e.g. spaCy, NumPy, SciPy, Transformers, etc.), data tools and technologies (Spark, Hadoop, Hive, Redshift, SQL), and toolkits for ML and deep learning (SparkML, Tensorflow, Keras). Demonstrated ability to work on multi-disciplinary More ❯

frameworks (MPI, OpenMP, CUDA, Triton); cloud computing (on hyper-scaler platforms, e.g., AWS, Azure, GCP); 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; C/C++ for computer vision, geometry processing, or scientific computing; software engineering concepts and best practices (e.g., versioning, testing, CI More ❯

GenAI, LLM, etc. as well as hands-on experience on AWS services like SageMaker and Bedrock, and programming skills such as Python, R, SQL, Java, Julia, Scala, Spark/Numpy/Pandas/scikit, JavaScript. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment More ❯

through comprehensive testing (Jest, PyTest, JUnit, etc.). Attributes: Need to Haves: C++ - Strong understanding of multithreading, asynchronous programming, network protocols. Advanced knowledge of Python and related frameworks (FastAPI, NumPy, Pandas, Pydantic) including multithreading and parallel design principles. Understanding of AWS, including knowledge of Cognito, Pinpoint, IoT, MSK and other services. Deep understanding of user-centered design principles, design thinking More ❯

frameworks (MPI, OpenMP, CUDA, Triton); cloud computing (on hyper-scaler platforms, e.g., AWS, Azure, GCP); 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; C/C++ for computer vision, geometry processing, or scientific computing; software engineering concepts and best practices (e.g., versioning, testing, CI More ❯

analysis or software engineering role. Technical background with good understanding of the underlying physical principles related to battery technology, electric vehicles, EV charging, and the energy sector. Python experience (numpy, streamlit, scipy, pandas, matplotlib, plotly, poetry, GIT, scikit-learn and other scientific libraries) Excellent mathematical, analytical and problem-solving ability Excellent professional communication, reporting and presentation skills Excel proficiency Desirable More ❯

Join to apply for the Senior Equity Quantitative Researcher role at Deutsche Bank Continue with Google Continue with Google Join to apply for the Senior Equity Quantitative Researcher role at Deutsche Bank Get AI-powered advice on this job and More ❯

funding late this year. They code in Python, and React on the Frontend. Tech & Data Science stack: Kubernetes & Docker on Google Cloud Python 3: Pandas, RabbitMQ, Celery, Flask, SciPy, NumPy, Dash, Plotly, Matplotlib Javascript, React, Redux PostgreSQL, Redis Prometheus, Alert Manager, DataDog If you joined the company in a Data Science role you would be working on sophisticated pricing algorithms … know when to be pragmatic to ensure the best business outcomes You'll be a coder in Python, C++ or Java Experience of productionizing analytics code pandas, scipy and numpy If your a Data Scientist looking to go on an exciting new journey with an early stage startup, and the opportunity to work on advanced pricing algorithms is something that More ❯

platform and to build tools for visualisation & management of datasets at terabyte scale. Their core systems run on Linux and most code is in Python3, including extensive use of numpy, scipy, pandas, scikit-learn, etc. Systems that require the highest data throughput are implemented in Java. New technologies, tools and libraries are constantly assessed, meaning you can shape the technology … programming styles (e.g. OO, functional) Degree with high mathematical or computing content – Computer Science, Mathematics, Engineering, Physics Proficient with a range of open-source frameworks and development tools e.g. NumPy/Pandas, Spark, Apache Kafka Competitive salary + generous bonuses Extra perks including a personal development allowance and sponsorship Central London office with a very smart, friendly tech team Flat More ❯

Outside Location: East Midlands Industry: IT Salary: £450 - £500 per day + Outside IR35 Posted: 14/10/2024 Description Contract Python Developer, Full Stack Software Engineer, FastAPI, Numpy, Scipy, Matplotlib, PyQt/PySide, TypeScript, React/Angular, SQL, Django, MongoDB, Redis, Docker, Kubernetes - £500 a day outside IR35 - 3 months with possible extension Contract Python Developer required to … to obtain client info and Python Developer job spec. In your tool kit we will need to see experience of most of the following: Python (FastAPI, Numpy, Scipy, Matplotlib, PyQt/PySide, etc) TypeScript, React, Chakra UI REST, GraphQL, gRPC, Socket.IO SQL, Django, GitLab, Continuous Integration & Delivery, Docker, Kubernetes VTK A great time to join this client as they embark More ❯

within our growing forecast offering. Developing our power market and dispatch models to grow and enhance Modo's product offering. We use Python and the standard scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.). Working closely with our product and analytics functions to ensure the product we deliver aligns closely with user needs and provides value to the wider … Modo team. Qualifications: 3 to 5 years experience using Python (or another programming language e.g. R, C++, Java) and with the scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.). Strong quantitative skills and a proven track record of solving complex technical problems using data analysis, machine learning, and optimization techniques. Hands-on experience with cloud environments (e.g., AWS) for More ❯

within our growing forecast offering. Developing our power market and dispatch models to grow and enhance Modo's product offering. We use Python and the standard scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.). Working closely with our product and analytics functions to ensure the product we deliver aligns closely with user needs and provides value to the wider … Modo team. Qualifications: 3 to 5 years experience using Python (or another programming language e.g. R, C++, Java) and with the scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.). A degree in a quantitative field such as mathematics, engineering, computer science, physics or a related discipline. Previous experience in energy modelling, with a specific focus on the GB and More ❯

within our growing forecast offering. Developing our power market and dispatch models to grow and enhance Modo's product offering. We use Python and the standard scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.). Working closely with our product and analytics functions to ensure the product we deliver aligns closely with user needs and provides value to the wider … Modo team. Qualifications: 3 to 5 years experience using Python (or another programming language e.g. R, C++, Java) and with the scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.). A degree in a quantitative field such as mathematics, engineering, computer science, physics or a related discipline. Previous experience in energy modelling, with a specific focus on the GB and More ❯

Understanding of NLP algorithms and techniques and/or experience with Large Language Models (fine tuning, RAG, agents) Are proficient with Python, including open-source data libraries (e.g Pandas, Numpy, Scikit learn etc.) Have experience productionising machine learning models Are an expert in one of predictive modeling, classification, regression, optimisation or recommendation systems Have experience with Spark Have knowledge of … or geographical information systems (GIS) Experience with cloud infrastructure Experience with graph technology and/or algorithms Our technology stack Python and associated ML/DS libraries (Scikit-learn, Numpy, LightlGBM, Pandas, LangChain/LangGraph, TensorFlow, etc ) PySpark AWS cloud infrastructure: EMR, ECS, Athena, etc. MLOps: Terraform, Docker, Airflow, MLFlow More information: Enjoy fantastic perks like private healthcare & dental insurance More ❯

in one of reinforcement learning, predictive modelling (classification and regression) and have a solid understanding of recommendation systems Are proficient with Python, including open-source data libraries (e.g Pandas, Numpy, Scikit learn etc.) Have experience with Spark Have experience in productionising machine learning models and/or real-time systems Have knowledge of DevOps technologies such as Docker and Terraform … algorithms Have experience with NLP, designing, fine-tunning and developing GenAI models and building agent AI systems Our technology stack Python and associated ML/DS libraries (Scikit-learn, Numpy, LightlGBM, Pandas, TensorFlow, etc...) PySpark AWS cloud infrastructure: EMR, ECS, S3, Athena, etc. MLOps: Terraform, Docker, Airflow, MLFlow, Jenkins More Information Enjoy fantastic perks like private healthcare & dental insurance, a More ❯

and Python Work directly with investment professionals to scope and deliver solutions What we’re looking for: Strong Python engineering skills, including use of data libraries like pandas and NumPy Experience working in front office environments Familiarity with data pipelines and cloud infrastructure Pragmatic, detail-oriented, and able to work independently Experienced Python-focused Software/Data Engineer with a More ❯

3+ years applied experience • Proficient in coding in Python • In-depth understanding of the Python software development stacks, ecosystems, frameworks and tools • Experience with popular Python frameworks such as Numpy, Panda, Django, Flask or Pyramid • Hands-on practical experience in system design, application development, testing, and operational stability • Experience in developing, debugging, and maintaining code in a large corporate environment More ❯

3+ years applied experience • Proficient in coding in Python • In-depth understanding of the Python software development stacks, ecosystems, frameworks and tools • Experience with popular Python frameworks such as Numpy, Panda, Django, Flask or Pyramid • Hands-on practical experience in system design, application development, testing, and operational stability • Experience in developing, debugging, and maintaining code in a large corporate environment More ❯

and technical direction of the platform. What We’re Looking For 2+ years of hands-on experience in Python development (version 3.8 and higher) Strong knowledge of Python packages: numpy, pandas, SQLAlchemy Proficiency in working with databases (SQL/MySQL). Experience with DevOps practices and tools for continuous integration and continuous deployment (CI/CD), such as Jenkins. Experience More ❯

and Python Work directly with investment professionals to scope and deliver solutions What we’re looking for: Strong Python engineering skills, including use of data libraries like pandas and NumPy Experience working in front office environments Familiarity with data pipelines and cloud infrastructure Pragmatic, detail-oriented, and able to work independently Experienced Python-focused Software/Data Engineer with a More ❯

query optimisation, and performance tuning. Familiarity with data science principles and methodologies, with experience applying them in real-world scenarios. Expertise in the following technologies: Hibernate, PostgreSQL, Maven, Guice, Numpy, Pandas Exposure to financial markets, either through formal education or professional experience An interest in and working knowledge of AI-assisted development tools (e.g., code generation, automated testing, intelligent documentation More ❯

iterate on solutions. Requirements 1-4 years of experience in a quantitative, analytics, or developer role within a financial institution or trading environment. Strong proficiency in Python (e.g., Pandas, NumPy, Jupyter) and experience building data pipelines , analytical tools , or dashboards . SQL experience is a plus. Proficiency in Excel and data visualization platforms such as Power BI, Tableau, or Plotly More ❯

iterate on solutions. Requirements 1-4 years of experience in a quantitative, analytics, or developer role within a financial institution or trading environment. Strong proficiency in Python (e.g., Pandas, NumPy, Jupyter) and experience building data pipelines , analytical tools , or dashboards . SQL experience is a plus. Proficiency in Excel and data visualization platforms such as Power BI, Tableau, or Plotly More ❯

degree in Computer Science, Mathematics, Physics, Engineering, or a related field. Programming Proficiency: Strong programming skills in Python and must be comfortable with common dataset libraries e.g. pandas, polars, numpy, duckdb etc. Quantitative Skills: Solid understanding of quantitative finance and statistical methods. Trading Knowledge: Familiarity with the trading process and financial markets. System Design: Experience in designing and implementing high More ❯

iterate on solutions. Requirements 1-4 years of experience in a quantitative, analytics, or developer role within a financial institution or trading environment. Strong proficiency in Python (e.g., Pandas, NumPy, Jupyter) and experience building data pipelines , analytical tools , or dashboards . SQL experience is a plus. Proficiency in Excel and data visualization platforms such as Power BI, Tableau, or Plotly More ❯