26 to 47 of 47 NumPy Jobs in London

REST APIs, SFTP, Websockets OOP + Asynchronous Design Patterns PowerQuery/DAX/M Industry standard libraries used in software development within finance (pandas, numpy, scipy etc) MS Graph * Experience with the following technologies is nice to have: NodeJS Grafana VBA OpenAI API Cross OS file shares Profile ...

typologies and how they translate into detection logic Strong SQL. Complex queries, large datasets, no hand-holding Python for analysis and modelling (pandas, numpy; ML exposure expected) Experience building, tuning, or deploying detection systems (rules and/or models) Ability to think about systems end-to-end. Not just models ...

learning architectures. Strong understanding of two-tower neural networks, embedding techniques, and ranking models. Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku. Experience with ML Ops, including model deployment, monitoring ...

infrastructure and tooling stack What They’re Looking For 4+ years experience in machine learning, data science, or AI engineering Strong Python skills (NumPy, Pandas, PyTorch/TensorFlow) Experience working with biological or biomedical data (industry or academia) Solid understanding of ML fundamentals (supervised/unsupervised learning, model evaluation, etc. ...

/placements welcome in addition) Strong SQL skills and confidence working with relational data and large datasets Strong Python for analysis/automation (pandas, NumPy; good coding hygiene) Essential: Dashboarding experience in Power BI, Tableau, or Looker (building and maintaining stakeholder-facing dashboards) Solid understanding of analytics fundamentals: data cleaning ...

tools (e.g. automated checks on model behaviour, smarter analytics surfaces). Key Responsibilities Design, build and maintain high‐quality Python services and libraries (Pandas, NumPy; C++ exposure a plus for performance‐critical paths). Enhance and extend the risk‐modelling, pricing and analytics suite used directly on discretionary trading desks. ...

advanced AI/ML solutions in industry or engineering environments. Strong expertise in Python and AI/ML libraries: PyTorch, TensorFlow, Scikit‐Learn, Keras, NumPy, Pandas, JAX, XGBoost, PyTorch Geometric, OpenCV, Transformers, LangChain, Pinecone . Proven hands‐on experience deploying models in production and building scalable AI software. Deep understanding ...

model. Familiarity with Python and the packages widely used in data science and machine learning. Developers should be familiar with libraries like NumPy, pandas, scikit-learn, TensorFlow, and PyTorch. Familiarity with best practice in Machine Learning workflows and MLOps tools. Fluency in validation and evaluation framework and metrics frameworks ...

alignment What you’ll bring BA experience in energy trading, analytics or modelling Strong knowledge of Gas, LNG & Power markets Experience with Python (pandas, NumPy) and data-heavy environments Understanding of forecasting/ML workflows Strong stakeholder and Agile delivery skills ...

clear, impactful narratives for stakeholders What we're looking for: Strong SQL skills (essential) with experience working on large datasets Solid Python experience (pandas, NumPy) for data analysis Strong understanding of A/B testing and experimentation concepts Experience with BI tools (Tableau, Looker, or similar) Ability to work independently ...

clear, impactful narratives for stakeholders What we're looking for: Strong SQL skills (essential) with experience working on large datasets Solid Python experience (pandas, NumPy) for data analysis Strong understanding of A/B testing and experimentation concepts Experience with BI tools (Tableau, Looker, or similar) Ability to work independently ...

Core Technical Skills Skill Area Requirements Programming Strong proficiency in Python for data manipulation and scripting. Familiarity with standard Python data libraries (e.g., Pandas, NumPy ). Database Expert-level proficiency in SQL (Structured Query Language). Experience writing complex joins, stored procedures, and performing performance tuning. Big Data Concepts Foundational ...

3+ years of industry experience as a Data Scientist , plus a strong academic foundation Python Data Science Stack : Advanced proficiency in Python , including Pandas, NumPy and scikit-learn. Statistical & Machine Learning Modelling : Experience with a variety of ML techniques ( regression, classification, clustering, time-series forecasting ) Experience with deep learning frameworks ...

development of a new AI-driven underwriting platform being built in partnership with a software provider. You’ll work extensively with Python (pandas, numpy) and SQL, transforming unstructured data into structured, decision-ready insights, and helping integrate broker data via API. The team is small and high-impact. They ...

Analysis: Data Manipulation & Reporting: Write, optimize, and execute complex SQL queries to extract and manipulate data from large, disparate databases. Utilize Python (e.g., pandas, NumPy, statistical libraries) for advanced data cleaning, statistical modeling, and analysis as needed. Develop and maintain dynamic dashboards and reports using data visualization tools like Looker ...

stakeholders. Data Manipulation & Reporting: Write, optimize, and execute complex SQL queries to extract and manipulate data from large, disparate databases. Utilize Python (e.g., pandas, NumPy, statistical libraries) for advanced data cleaning, statistical modeling, and analysis as needed. Develop and maintain dynamic dashboards and reports using data visualization tools like Looker ...

inference), CoreML (strong — iOS Neural Engine), ONNX (strong — cross-platform interop), MediaPipe (competent — Android face landmarker integration). Computer Vision & Signal Processing: OpenCV (expert), NumPy/SciPy (expert — rPPG signal processing), dlib (competent), rPPG methods specifically (POS, CHROM, chrominance decomposition, bandpass filtering, pulse extraction from RGB video), monocular depth estimation ...

Optimize models for performance, scalability, and accuracy. Qualifications: Deep knowledge of neural networks (CNNs, RNNs, LSTMs, Transformers). Strong experience with data tools (Pandas, NumPy, Apache Spark). Solid understanding of NLP algorithms. Experience integrating ML models via RESTful APIs. Familiarity with CI/CD pipelines and deployment automation. Strategic ...

quant trading while leveraging your technical expertise to drive results. What you'll bring 2+ years professional experience in Python, including use of NumPy and other scientific libraries. A passion for working with data/dataframes and solving data-related challenges. Strong Pandas experience is required. Minimum bachelors degree ...

Strong analytical & problem-solving skills: Able to decompose messy, real-world problems and craft tailored solutions. Proficient in Python & data science: pandas/Polars, NumPy, scikit-learn, Jupyter, Plotly (or similar) Confident with data cleaning, analysis, transformation, and visualisation. Excellent communication: Advanced written and spoken English; concise, direct, and audience …/Postgres. TypeScript fluency: Able to read TS and collaborate on data contracts with the Command team. Our environment Python, Polars/pandas, NumPy, scikit-learn, Plotly, SQL/Postgres, NVIDIA cuOpt, HERE APIs, AWS (S3, ECS/Lambda, SNS/SQS), Docker, GitHub Actions, TypeScript/Node (Command services ...

Hedge Fund - Python Developer (Equities) - Trade life cycle - PnL - Kafka - Contract Our Hedge Fund client is looking for a Python Developer/Engineer Contract role This team is responsible for the firms equity transaction data ...

StatArb platform. Live since 2021, trading 24/6 globally. Unified graph-based framework (DAG) across research, production, analytics, risk, and P&L. Deep Numpy/Numba work, processing vast historical datasets and real-time tick data. You'll contribute to shared tooling that researchers actually rely on. … lines. What you'll need: 5+ years as a Quant Dev in a systematic hedge fund (StatArb/equities experience ideal) Deep Python expertise (Numpy/Numba) Strong grasp of statistical methods, numerical optimisation, and equity market microstructure Experience with Unix internals and graph-based data processing frameworks What ...