76 to 99 of 99 NumPy Jobs in the UK excluding London

algorithms for efficient data processing and model optimization Error handling and debugging using try-catch blocks, logging, and debugging tools Data Processing: Pandas and NumPy for data manipulation, cleaning, and numerical operations SQLAlchemy or psycopg2 for database connectivity and ORM operations Boto3 for AWS service integration and automation AWS (working ...

between technical developers and business teams, showcasing strong leadership, creativity, and ethical problem‐solving. **Technical Expertise & Tools**: Python: Advanced, production‐grade proficiency (Pandas, NumPy, FastAPI/Flask) with an absolute focus on writing clean, modular, and highly testable code. SQL: Expert querying, database design, partitioning, and optimization strategies for large ...

context and memory management, and interoperability protocols such as MCPExperience with machine learning frameworks and data science packages such as PyTorch, TensorFlow, scikit-learn, NumPy, pandas, SciPy, and statsmodelsExperience deploying to AWS, including services such as SageMaker and Bedrock, and operating production large language model and machine learning workloads with ...

technical stakeholders. Best practice: Contribute to how the wider data science function approaches tooling, methodology, and model governance. Technical Environment Languages/Tools: Python (NumPy, Pandas, Scikit learn), deep learning frameworks (PyTorch/TensorFlow), SQL. MLOps: MLflow, cloud ML platforms (Azure ML, AWS SageMaker, or Databricks). Focus areas: Predictive ...

curation, training pipelines, performance optimisation, edge ML, MLOps, deployment and maintenance of ML solutions, Python development, Python-based ML frameworks, PyTorch, TensorFlow, sklearn, OpenCV, NumPy, feature development, code review, pytest, linting, bug fixing, relational databases, database design and maintenance, AWS/cloud infrastructure, CI/CD pipelines, developer tooling, Linux ...

visualizations using products like Tableau, Microsoft Power BI and R Shiny. Research, design, and implement algorithms to solve complex problems. Program using R, Python (NumPy, SciPy, Pandas) or similar analytical languages. Perform data engineering, data processing and modeling techniques using cloud-based data management, data science, and ML platforms such ...

data. Strong knowledge of modern data science and machine learning techniques, including supervised and unsupervised learning. Proficiency in the Python data science ecosystem (e.g. NumPy, Pandas, scikit‐learn, PyTorch, TensorFlow). Experience with big data and distributed analytics platforms (e.g. Spark, Hadoop). Hands‐on experience with Natural Language Processing ...

cloud infrastructure to support data and application workloads What We're Looking For Strong Python development experience, ideally with exposure to libraries such as NumPy, Pandas or Scikit-learn. Experience building data pipelines and working with structured and unstructured data. Experience working with AWS services such as S3, Lambda ...

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 ...

between technical developers and business teams, showcasing strong leadership, creativity, and ethical problem‐solving. Technical Expertise & Tools: Python: Advanced, production‐grade proficiency (Pandas, NumPy, FastAPI/Flask) with an absolute focus on writing clean, modular, and highly testable code; SQL: Expert querying, database design, partitioning, and optimization strategies for large ...

Skills Strong Python development experience (FastAPI, Pydantic, SQLAlchemy, Pytest). Experience with PostgreSQL, Docker, Git/GitHub, GitHub Actions, and microservices. Knowledge of Pandas, NumPy, OpenTelemetry, and cloud-native development. Strong communication, problem-solving, and stakeholder management skills. Ability to take ownership and thrive in a fast-moving environment. Desirable ...

MACCs), project finance (NPV, IRR, payback, discount rates) and carbon pricing (ETS, carbon taxes, internal shadow prices). Expert Python for quantitative modelling (pandas, NumPy), with the discipline to make models reproducible, validated and version-controlled (Git/GitHub). Familiarity with using LLMs and agentic-AI workflows to build ...

systems*** Experience developing algorithms for sensing, imaging, measurement, or other data-driven systems* Strong Python skills for algorithm development and data analysis, for example NumPy, Pandas, SciPy, Matplotlib, or scikit-learn* Strong foundation in signal processing, data analysis, and model-based methods for interpreting complex experimental data* Working knowledge ...

data warehouse, data pipelines, analytics & business intelligence Power BI calculation groups, bookmarks, semantic model incremental refresh Tabular Editor Excel dynamic array functions Python, Pandas, NumPy, Matplotlib Sage 200 Linnworks Peoplevox Google Analytics (GA4) Working arrangements: 5 days a week, onsite, Salford, Manchester. They are looking for an experienced Data Analyst ...

Strong SQL proficiency (e.g., PostgreSQL, MySQL, SQL Server) to extract, transform, and optimize data for reporting and operational use Hands-on Python experience (Pandas, NumPy) for data manipulation and analysis, supporting scalable data workflows Understanding of data architecture, data modeling, and ETL processes to ensure efficient data integration and pipeline ...

Strong SQL proficiency (e.g., PostgreSQL, MySQL, SQL Server) to extract, transform, and optimize data for reporting and operational use Hands-on Python experience (Pandas, NumPy) for data manipulation and analysis, supporting scalable data workflows Understanding of data architecture, data modeling, and ETL processes to ensure efficient data integration and pipeline ...

domain-relevant properties, characterisation techniques, and substance or material selection processes.Proficiency in data analysis and programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn), R, or similar.Experience with database management systems (SQL or NoSQL).Familiarity with scientific databases and ontologies (e.g., Materials Project, ChEMBL, PubChem, or ontologies ...

machine learning engineering roles Strong, demonstrable experience with machine learning for classification tasks Proficiency in Python and relevant libraries: scikit-learn, TensorFlow, pandas, NumPy Real-world experience working with sensor data, time-series data, or IoT data streams Familiarity with embedded ML tools and approaches: TensorFlow Lite, Edge Impulse, ONNX ...

caching, etc.) Proficiency with profiling tools (NVIDIA Nsight, PyTorch Profiler) and monitoring stacks (Prometheus, Grafana) Capability to work in Python for data analysis (Pandas, NumPy) and scripting The following are also highly valued: Post-graduate degrees and research experience in relevant fields (please list your publications). Deep understanding ...

team,* Familiar with common machine learning and model acceleration frameworks (e.g. PyTorch, ONNX, ONNX Runtime)* Experienced with Python data and matrix manipulation libraries (e.g. numpy and pandas),* Knowledgeable about Python memory management and optimising GPU usage (beneficial but not essential),* Experienced with Rust, specifically the ort crate (beneficial ...

production. Optimising GPU utilisation across both single-GPU and distributed multi-GPU environments . Improving Python and model inference performance using technologies including NumPy, Numba, Triton and CUDA-based libraries . Conducting load and stress testing to ensure AI services remain performant and stable under high levels of concurrent traffic. … experience includes: Strong commercial development experience with Python , including asynchronous programming. Strong knowledge of the Python machine learning ecosystem, particularly PyTorch, Scikit-learn and NumPy . Experience deploying speech technologies , ideally including both ASR and TTS models. Experience deploying, serving or optimising Large Language Models or Small Language Models . ...

dispersion modelling or environmental data analysis. Excellent analytical skills with the ability to interpret complex real-world datasets. Strong Python skills for scientific analysis (NumPy, Pandas, SciPy or similar). Experience communicating technical findings to both technical and non-technical audiences. Ability to work collaboratively across software, engineering and scientific ...

development of large-scale python codebases Familiarity with the python ecosystem: both the standard library and popular open source libraries such as Flask, Requests, NumPy or PyTorch Understanding of software development best practices and architecture, particularly of web-hosted platforms composed of applications with underlying services Ability to provide ...

optics, photonics or similarly technical laboratory environment Experience analysing real-world experimental data using Python Familiarity with scientific Python libraries such as NumPy, SciPy or pandas A practical understanding of experimental uncertainty, noisy data and measurement quality Strong fault-finding and troubleshooting skills The ability to work independently while collaborating ...