151 to 175 of 652 NumPy Jobs in the UK

working with model registries and model version control Strong understanding of REST API design patterns Proficiency in working with data manipulation libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., TensorFlow, PyTorch) Knowledge of software development methodologies and version control systems (e.g., Git) Excellent communication and collaboration skills, with the More ❯

Risk. Building from the beginning – lots of IT Challenges – Python Code Migrating from library, tweaking, methodology. Skills: Quant Developer Python: Blackrock numeric data processing: numpy, scipy text data processing: pyarrow, pandas databases: sqlalchemy, psycopg parallelization: multiprocessing, concurrent.futures More ❯

Risk. Building from the beginning – lots of IT Challenges – Python Code Migrating from library, tweaking, methodology. Skills: Quant Developer Python: Blackrock numeric data processing: numpy, scipy text data processing: pyarrow, pandas databases: sqlalchemy, psycopg parallelization: multiprocessing, concurrent.futures More ❯

of collaboration and best practices (Code Reviews, Testing, CI/CD, Kubernetes, AWS). Tech Stack: 🐍 Python (Flask, Django) 🧠 Machine Learning/AI 🛠️ SQLAlchemy, NumPy ☁️ AWS, Kubernetes, CI/CD What we're looking for: 5+ years experience in software engineering Strong Python + backend experience Passion for machine learning More ❯

of collaboration and best practices (Code Reviews, Testing, CI/CD, Kubernetes, AWS). Tech Stack: 🐍 Python (Flask, Django) 🧠 Machine Learning/AI 🛠️ SQLAlchemy, NumPy ☁️ AWS, Kubernetes, CI/CD What we're looking for: 5+ years experience in software engineering Strong Python + backend experience Passion for machine learning More ❯

Limited Technical Recruitment Consultant at SmartChoice International for UK & Europe Job Description: Proficient in coding and software design, with expertise in Python frameworks like NumPy, Pandas, Django, or Flask. Experience in developing secure, high-quality code, troubleshooting technical issues, and creating architecture artifacts for complex applications. Good experience in system More ❯

and internal analytics tools Contribute to the evolution of our tech stack and architecture What we’re looking for: Strong Python skills (incl. pandas, numpy, asyncio, etc.) A STEM degree from a reputable university Solid understanding of software engineering best practices Ability to work autonomously in a fast-paced, intellectually More ❯

and internal analytics tools Contribute to the evolution of our tech stack and architecture What we’re looking for: Strong Python skills (incl. pandas, numpy, asyncio, etc.) A STEM degree from a reputable university Solid understanding of software engineering best practices Ability to work autonomously in a fast-paced, intellectually More ❯

targets Work with structured web analytics and revenue data in a cloud environment Ensure models are robust, explainable, and production-ready Tech Environment Python (NumPy, Pandas, scikit-learn) SQL GCP (BigQuery, Cloud Functions) Deployment: Docker, Kubernetes, Airflow Git, CI/CD pipelines Tableau (optional) Requirements Proven expertise in time series More ❯

MIQCP). Proficient with Gurobi Optimizer (or equivalent like CPLEX, CBC). Understanding of electricity system balancing, dispatch processes, and control systems. Python ecosystem (NumPy, Pandas, SciPy, Pyomo, etc.) Gurobi Optimizer (for LP, QP, MILP, etc.) Contract Details: Duration: 6 months (View for Extension) Day Rate: Up to £500 per More ❯

Soda Qualifications: Essential Requirements: Extensive experience in deploying products Solid experience with Python, and associated libraries such as scipy, scikit-learn and pandas/numpy Experience creating NLP/DL/RNN models Experience with Image Processing and CNNs Excellent communication skills Degree in CS, maths, statistics, engineering, physics or More ❯

work closely with Data Scientists, and even engage with clients! Requirements: 5+ years of experience in Data Engineering Strong working knowledge of Python, Pandas, NumPy, and ETL pipelines Extensive AWS experience (preferably Lambda & Step Functions) Beneficial: Interest or experience in financial markets Experience in a client-facing role Experience with More ❯

employed models, their interpretation and business value to the team and stakeholders Experience developing AI/ML algorithms and infrastructure Excellent knowledge of Python, NumPy and Pandas Experience with at least one of: XGBoost, LightGBM, CatBoost, Tensorflow, PyTorch, MOSEK, CVXPY Graduate-level research experience in Artificial Intelligence or related field More ❯

employed models, their interpretation and business value to the team and stakeholders Experience developing AI/ML algorithms and infrastructure Excellent knowledge of Python, NumPy and Pandas Experience with at least one of: XGBoost, LightGBM, CatBoost, Tensorflow, PyTorch, MOSEK, CVXPY Graduate-level research experience in Artificial Intelligence or related field More ❯

and large-scale data warehouses (Snowflake, Redshift, Presto). Proficiency in data visualization tools (Databricks, PowerBI) and the Python data science ecosystem (Jupyter, Pandas, Numpy, Matplotlib). Plusses: Degree in cybersecurity. Experience leading teams of more than 10 people. Recent involvement in an AI/ML project or program. #J More ❯

and commercial teams What we’re looking for: 2+ years' experience in data analysis or data science (financial data preferred) Proficient in Python (Pandas, NumPy, Matplotlib, etc.) Experience with APIs (REST/WebSocket) and time series datasets Strong communicator, comfortable translating complex data for non-technical stakeholders Self-starter, curious More ❯

and commercial teams What we’re looking for: 2+ years' experience in data analysis or data science (financial data preferred) Proficient in Python (Pandas, NumPy, Matplotlib, etc.) Experience with APIs (REST/WebSocket) and time series datasets Strong communicator, comfortable translating complex data for non-technical stakeholders Self-starter, curious More ❯

Required Skills and Experience : Proficiency in Python and familiarity with libraries and frameworks such as PyTorch , TensorFlow , Keras , Hugging Face , Replicate , SpaCy , NLTK , Pandas , NumPy , Django , FastAPI , TensorBoard , Visdom , and CV2 . Experience with cloud platforms like GCP , FloydHub , and AWS . Familiarity with version control systems like Git , GitHub More ❯

analytics, including statistics, visualization, and handling large datasets Basic understanding of TCP and UDP network protocols Experience with Python and data libraries like Pandas, Numpy/Scipy Familiarity with modern computer systems and networks Experience with real-time exchange market data and order entry is a plus Profile Degree in More ❯

world-class. Requirements 3+ years' hands-on development experience (working directly with PMs and traders preferred) Strong knowledge of Python, including scientific libraries (pandas, numpy, scipy, etc.), plus experience in at least two other languages Strong knowledge of commodities or alternative asset classes Solid analytical and problem-solving skills Experience More ❯

product, and commercial teams What we’re looking for: 2+ years' experience in data analysis or data science (financial data) Proficient in Python (Pandas, NumPy, Matplotlib, etc.) Experience with APIs (REST/WebSocket) and time series datasets Strong communicator, comfortable translating complex data for non-technical stakeholders Self-starter, curious More ❯

detailed feedback and solutions Nice To Have Requirements Experience with ML projects Familiarity with Data Analysis Python 3.6 and 3.12 Scientific python libraries: pandas, numpy, pytorch etc. Airflow Hadoop PostgreSQL and MongoDB Docker Github, Teamcity, proprietary infrastructure tools S3 What You’ll Get Flexibility to choose the tasks you have More ❯

for larger scale work Create new features using additional database (KDB preferred) Preferred Technical Skills: Proficient in modern data science tools stacks (Jupyter, pandas, numpy, sklearn) with machine learning experience Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related STEM field from top ranked University Expert More ❯

or data-intensive systems. Cloud/architecture certifications (e.g., AWS/Azure Architect, TOGAF). Desirable Skills: Familiarity with data analysis libraries like Pandas, NumPy, and Scikit-learn. Knowledge of data science and machine learning concepts and tools. If you have the relevant skills and experience, please apply promptly and More ❯

or data-intensive systems. Cloud/architecture certifications (e.g., AWS/Azure Architect, TOGAF). Desirable Skills: Familiarity with data analysis libraries like Pandas, NumPy, and Scikit-learn. Knowledge of data science and machine learning concepts and tools. If you have the relevant skills and experience, please apply promptly and More ❯