1 to 25 of 28 NumPy Jobs in London

improve factual grounding. Technical Proficiency Machine learning algorithms: linear regression, logistic regression, decision trees, random forests, support vector machines, neural networks Data science tools: NumPy, SciPy, Pandas, Matplotlib, TensorFlow, Keras Cloud computing platforms: AWS, Azure, GCP Natural language processing: transformer models, attention mechanisms, word embeddings Computer vision: convolutional neural networks ...

your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using ...

your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using ...

your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using ...

your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using ...

PyMC), or ensemble methods. Familiarity with rigorous experimentation: online/offline evaluation, data leakage prevention, and model governance. Tech Stack Python, SQL, pandas/numpy/scipy, PyTorch/sklearn Airflow/dbt, Kafka (or equivalents), Postgres/BigQuery Docker, Kubernetes (optional), CI/CD (GitHub Actions) Observability: Prometheus/ ...

architecture, mentor engineers and scientists, lead applied research initiatives What You'll Bring Technical Expertise: Strong Python skills with the ML stack: NumPy, pandas, scikit-learn Hands-on experience with at least one deep learning framework (PyTorch, TensorFlow, JAX) Solid grounding in core ML—supervised, unsupervised, evaluation, regularisation, statistics Production ...

your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using ...

your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using ...

your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using ...

your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using ...

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 ...

Engineering, or ML Research A strong background in mathematics and statistics Strong proficiency in programming languages such as Python, with experience in libraries like numpy, pytorch, polars, pandas, and ray Demonstrated experience in designing and implementing end-to-end machine learning pipelines, including data preprocessing, model training, deployment, and monitoring ...

Engineering, or ML Research A strong background in mathematics and statistics Strong proficiency in programming languages such as Python, with experience in libraries like numpy, pytorch, polars, pandas, and ray Demonstrated experience in designing and implementing end‐to‐end machine learning pipelines, including data preprocessing, model training, deployment, and monitoring ...

least 2 years’ experience working as a data engineer (ideally consulting/financial services) – salary and level will reflect experience. Proficiency in Python (pandas, numpy) Professional experience with Azure cloud services (AWS/GCP acceptable with deeper experience) Strong experience deploying clean, maintainable, production-level code. Basic understanding ...

risk functions What we’re looking for Strong Python development experience within enterprise environments Excellent SQL and data processing skills, including Pandas/NumPy Experience building APIs and backend services using frameworks such as FastAPI, Flask or Django Previous exposure to trading, risk, PnL or capital markets environments Experience with ...

dashboards for end users. Plotly or Dash highly desired - Good commercial experience with data visualisation tools and techniques - Solid working experience with Pandas or NumPy - Excellent SQL abilities Nice to have: - Javascript/web experience (React or Typescript) - Flask - Cloud computing experience (AWS preferred) - Prior experience working in operations, middle ...

stakeholders to translate business challenges into analytical solutions Supporting model monitoring, optimisation and drift detection Core Skills and Experience Strong Python experience including pandas, NumPy and scikit learn for modelling and data manipulation Advanced SQL skills for querying structured datasets Proven experience developing and validating machine learning models Experience with ...

engineering and product teams to transform raw data into robust, auditable, and commercially valuable solutions. Skills & Experience Technical Expertise Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL . Hands-on experience with Snowflake or similar cloud-based data warehouse platforms. Experience using Git and reproducible development practices. Strong ...

STEM discipline Proven experience delivering data science, machine learning or AI solutions in a commercial environment Strong programming capability in Python (Pandas, NumPy, SciPy or similar) Solid grounding in statistics, probability and data analysis AI & LLM Experience Hands-on experience with large language models, including: RAG pipelines Fine-tuning approaches ...

record delivering impactful ML/AI solutions in production. Deep expertise in Python and modern AI/ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn, NumPy, Pandas). Hands-on experience with GenAI, agentic AI, and automated testing for AI systems. Curiosity and creativity to challenge assumptions and explore new approaches. ...

transforming large-scale customer datasets into robust, auditable predictive models, supporting forecasting, risk analysis and commercial data products. Key skills & experience Strong Python (Pandas, NumPy, Scikit-learn) and SQL skills. Experience with Snowflake or similar cloud data platforms. Proven track record building predictive models in regulated financial services environments. Credit ...

Academic background in Quantitative Finance, Mathematics, Physics, Engineering, Computer Science, or a related STEM discipline Strong understanding of data fundamentals and their python implementations (numpy, polars, scipy) Strong knowledge of AI/ML techniques with experience delivering related work into production Curious to explore how AI can improve ...

databases such as ClickHouse or similar technologies. Knowledge of partitioning, materialised views, and query optimisation techniques. Experience with numerical and data processing libraries including NumPy, pandas, Polars, or Arrow. Understanding of performance optimisation, memory usage, multiprocessing, or asynchronous Python. This opportunity would suit an engineer who enjoys solving complex data ...

Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.) Extensive experience with pytorch, numpy, pandas Hands‐on experience in implementing distributed/multi‐threaded/scalable applications (incl. frameworks such as Ray, Horovod, DeepSpeed, etc.) Able to communicate technical ...