22 of 22 NumPy Jobs in Cambridge

integrity. Essential: • 3+ years of experience in data engineering, data architecture, or similar roles. • Expert proficiency in Python, including popular data libraries (Pandas, PySpark, NumPy, etc.). • Strong experience with AWS services—specifically S3, Redshift, Glue (Athena a plus). • Solid understanding of applied statistics. • Hands-on experience with large More ❯

Looking For: Previous experience at a tier-one bank or large financial organisation is a plus. Extensive proficiency in Python, including libraries such as numpy and scipy. Experience in Market Risk/Trader Risk development is highly advantageous, though not mandatory. Strong knowledge of Rates and Fixed Income products is More ❯

PyCaret, Prophet, or custom implementations for time series A/B testing frameworks (e.g., DoWhy, causalml) Programming & Data Tools : Python: Strong foundation in Pandas, NumPy, matplotlib/seaborn, scikit-learn, TensorFlow, Pytorch etc. SQL: Advanced querying for large-scale datasets. Jupyter, Databricks, or notebooks-based workflows for experimentation. Data Access More ❯

initial part of the project is an integration between two platforms. Skills required: Azure DataBricks Snowflake Azure Data Lake Python At least one of: NumPy, Pandas, or PySpark SQL Financial Services experience At least one Data related Azure certification Nice to have: PowerBI Azure Synapse C# or Java Data Factory More ❯

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 More ❯

retrieval-augmented generation (RAG) systems Knowledge of optimization techniques for reducing LLM latency and computational costs Software Engineering & Architecture Strong Python development skills (pandas, numpy, scikit-learn, PyTorch/TensorFlow) Experience with web frameworks (Streamlit, FastAPI, or Flask) and frontend technologies Database design and optimization (PostgreSQL preferred) for large protein More ❯

to apply this process when handling structured or unstructured data Confident with using common data science tooling such as Jupyter notebooks, pandas, matplotlib, seaborn, numpy API testing and security tools: Postman, Burp Suite, OWASP ZAP, etc. Strong knowledge of database management systems (DBMS) such as MySQL Hands-on experience with More ❯

to apply this process when handling structured or unstructured data Confident with using common data science tooling such as Jupyter notebooks, pandas, matplotlib, seaborn, numpy API testing and security tools: Postman, Burp Suite, OWASP ZAP, etc. Strong knowledge of database management systems (DBMS) such as MySQL Hands-on experience with More ❯

learning models for business application - Experience in applied research PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience in implementing Computer Vision algorithms. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to More ❯

learning models for business applications Experience in applied research PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, etc. Experience in implementing Computer Vision algorithms Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to 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 ❯

models using modern ML techniques. Deep understanding of time series analysis, statistics, and forecasting methodologies. Production-level Python programming skills (Pandas, Polars, Scikit-learn, NumPy, SciPy). Comfort working in a collaborative, cross-functional environment. Please note, this role cannot offer sponsorship at this stage More ❯

Experience working with large-scale medical datasets • Experience contributing to open-source GitHub projects and strong proficiency in Python-based data science tools (e.g., NumPy, Pandas, Matplotlib, SciPy) How to Apply To apply, please email your CV and a brief cover letter (up to 500 words) outlining your relevant experience More ❯

Experience working with large-scale medical datasets • Experience contributing to open-source GitHub projects and strong proficiency in Python-based data science tools (e.g., NumPy, Pandas, Matplotlib, SciPy) How to Apply To apply, please email your CV and a brief cover letter (up to 500 words) outlining your relevant experience More ❯

Experience working with large-scale medical datasets • Experience contributing to open-source GitHub projects and strong proficiency in Python-based data science tools (e.g., NumPy, Pandas, Matplotlib, SciPy) How to Apply To apply, please email your CV and a brief cover letter (up to 500 words) outlining your relevant experience More ❯

AI/ML, with at least 1 year focused on Generative AI and NLP. Strong programming skills in Python; proficient in libraries such as NumPy, Pandas, scikit-learn, PyTorch, TensorFlow. Proven experience building and scaling GenAI applications in production. Expertise in LLM architectures (OpenAI, LLaMA, Mistral, etc.) and RAG implementation. More ❯

in Maths, AI, or Computer Science Excellent theoretical grounding in AI/ML Creativity in model design and problem-solving Proficiency in Python (Pandas, NumPy, scikit-learn, PyTorch/TensorFlow) Bonus: fluent in German, French, or Spanish Role Highlights: £80,000–£100,000 salary plus bonus (depending on experience) UK More ❯

Required Qualifications: Basic knowledge of Python and/or SQL. Interest in data analytics, statistics, or machine learning. Familiarity with tools like Excel, Pandas, Numpy, or visualization libraries. Strong communication and time management skills. Preferred (Not Mandatory): Previous coursework, projects, or online certifications in data science. Understanding of data cleaning More ❯

inputs, and logic behind model performance Refine and test solutions to ensure they perform in production scenarios What You’ll Need Strong Python skills (NumPy, OpenCV) Familiarity with PyTorch or TensorFlow Experience working with ML pipelines and tooling (CI/CD, TDD) Comfortable working in a Linux environment Good understanding More ❯

Senior Python Engineer At A5 Labs, we are all about creating exceptional AI-driven experiences that set new industry standards. If you have ever indulged in an online casino game, chances are you have already come across our technology and More ❯

Role: Data Engineering Analyst(Python & Power BI) Location: Leeds/Edinburgh(Hybrid) Duration: Contract About Us: We're seeking a skilled Data Engineering Analyst to join our team. You'll play a key role in designing, building, and maintaining our More ❯

Quant Data Scientist - Hedge Fund - UAE Relocation - Leading Comp We are seeking a Data Scientist to join a high-calibre Quant team within a discreet fund based in the UAE, operating at the intersection of Quantitative Research and Artificial Intelligence. More ❯