26 to 50 of 51 Remote/Hybrid NumPy Jobs

with enterprise trading and risk platforms (eg Quartz, SecDB, Athena, Kanon, Beacon or similar) Strong SQL and large-scale data handling expertise Pandas and NumPy for data processing and analytics REST API development using Flask, FastAPI or Django Strong understanding of performance optimisation and scalable systems Unix/Linux ...

trading and risk platforms (eg Quartz, SecDB, Athena, Kanon, Beacon or similar) \n Strong SQL and large-scale data handling expertise \n Pandas and NumPy for data processing and analytics \n REST API development using Flask, FastAPI or Django \n Strong understanding of performance optimisation and scalable systems \n Unix ...

trading and risk platforms (eg Quartz, SecDB, Athena, Kanon, Beacon or similar) \n Strong SQL and large-scale data handling expertise \n Pandas and NumPy for data processing and analytics \n REST API development using Flask, FastAPI or Django \n Strong understanding of performance optimisation and scalable systems \n Unix ...

analysis and statistical techniques Data visualisation using tools such as Power BI, Tableau, or Matplotlib SQL and relational databases Python for data analysis (pandas, NumPy, etc.) Data governance, GDPR, and ethical principles Use real-world examples to demonstrate data storytelling and the business impact of analytics. Use real-world examples ...

experience we’re looking for: Experience leading or mentoring a team of data scientists, scientists or engineers Hands-on data science in Python (NumPy, SciPy, pandas, scikit-learn or similar), turning exploratory work into quantified results Heavy, day-to-day use of AI tools in your own technical work, such ...

Deep expertise in chemometrics and statistical learning for high-dimensional, correlated data, including rigorous validation and prevention of data leakage. Strong Python (e. g. NumPy/SciPy, scikit-learn, PyTorch) with an emphasis on transparent, reproducible analysis. Experience setting scientific direction for others and managing external scientific partners or contractors. ...

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 ...

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 ...

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 ...

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. ...

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 ...

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 ...

Proven experience building and deploying ML models in production Solid understanding of: Churn modelling Propensity modelling Behavioural data analysis Strong Python skills (e.g. Pandas, NumPy, ML libraries) Experience working with real-world, messy datasets Ability to work autonomously in a fast-paced environment Nice to have: Experience in mobile apps ...

compliance/Financial Services/regulated environment preferred Highly motivated to learn about Fundment’s products Technical Expertise: Python: FastAPI, Pydantic, SQLAlchemy, PyTest, Pandas, Numpy Cloud: Experience supporting production systems Security & Compliance: Familiar with secure coding and regulated environments Values Collaborative – Deliver as a team, communicate clearly, and prioritise collective ...

sample handling (pipetting robots); failure-mode detection and recovery; data quality checks; near-real-time data processing. Familiarity with scientific computing and machine learning — NumPy, SciPy, Jupyter, PyTorch, Matplotlib. Knowledge of CI/CD (e.g. GitHub Actions) and version control with Git. Experience with Jira and Confluence in a hybrid ...

scientist on model development, training, and deployment across our hardware-linked data pipeline. Bring 2+ years in ML engineering, with Python-based stacks (NumPy/SciPy/scikit-learn/PyTorch). Hybrid work in Bristol, with some lab visits and equity discussion opportunities. #J-18808-Ljbffr ...

MIPT, HSE, MSU, SPbSU, ITMO, YSDA, or international equivalents). Strong foundation in probability, statistics, linear algebra, and algorithms. Tech Stack & Hard Skills: Python (NumPy, Numba). PyTorch or JAX (for the ML track) OR advanced backtesting/quantitative modeling frameworks (for the Quant track). Proven track record ...

JavaScript, React, Vim, VSCode, HTML, CSS and AWS. Our flagship product uses image recognition to identify elements in construction PDFs, built with Python (numpy), Postgres and React. For newer real-time collaborative features, Hasura gives us a GraphQL subscription layer over Postgres, which is transformed into MobX objects ...

trading latency low. We operate a hybrid Python/C++ engineering stack. A large portion of our stack is Python-based (utilising libraries like NumPy, SciPy, PyTorch, Polars, Ray, Plotly, and Dash), but an increasing amount of our most performance-critical systems are written in modern C++ (C++23). … with other languages & frameworks Strong general high performance computing (multi-threading, networking, profiling and optimisation) Familiarity with Python data science tools and frameworks (e.g. NumPy, PyTorch, Polars) Participation in the company bonus scheme. 10% matched pension contributions Private healthcare insurance Long term illness insurance Gym membership #J-18808-Ljbffr ...

tape-outs Comfortable designing amplifiers, precision filters, with strong mixed-signal expertise (ADCs/DACs) Experienced in modelling using SystemVerilog, MATLAB or Python/NumPy, with strong scripting skills to automate model generation, checking and regression Able to bridge theory, simulation, and real-world hardware You can expect continuous opportunities ...

government and enterprise clients, both virtually and face to face Teach vendor-specific and bespoke courses covering prompt engineering, machine learning techniques and the NumPy ecosystem Design and develop courseware using instructional design principles and adult learning theory, tailored to client requirements Act as a subject matter expert, feeding insight … technical audiences, virtually and in person Strong knowledge of GenAI concepts and prompt engineering Solid grounding in machine learning techniques and Python, including the NumPy ecosystem Experience designing learner-centred courseware Eligible for, and willing to obtain, SC security clearance Desirable: Hands-on experience with TensorFlow or PyTorch Familiarity with ...

experience across a range of topics related to general high performance computing such as multi-threading, networking, profiling and optimisation. Experience working with the NumPy/SciPy stack is essential, as is experience with tools like C++, Numba etc for performance optimisation. Knowledge of common ML algorithms & techniques … systematic, analytical approach to tackling problems and designing solutions Experience with: Python programming Proficient in C/C++ on modern architectures Experience with the NumPy/SciPy stack Working with Linux platforms with knowledge of various scripting languages Strong general high performance computing: Multi threading Profiling Python/C/ ...