76 to 100 of 107 NumPy Jobs in England

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. ...

solutions What we’re looking for: Around 3+ years’ experience in a data science or similar role Strong Python skills, particularly with libraries like NumPy, pandas, and SciPy Experience with ML frameworks such as scikit-learn, TensorFlow, or PyTorch A track record of working with messy, real-world datasets (ideally ...

choices, QC decisions and modelling approaches Build robust, documented and reusable scientific software Essential Skills Strong Python experience for scientific computing Experience with Pandas, NumPy, SciPy and visualisation libraries such as Matplotlib or Seaborn Experience analysing bioassay, assay or experimental biology data Understanding of dose-response modelling, curve fitting ...

Python, with hands‐on experience in data analysis and writing production‐quality code. Extensive experience with machine learning and data analysis toolkits (e.g., NumPy, Scikit‐Learn, Pandas). Ability to effectively leverage Generative AI tools to enhance productivity, analysis, and problem‐solving in day‐to‐day work. Strong written ...

data structures, software architecture, and data modelling, with experience handling diverse datasets (tabular, computer vision, point cloud, game data). Proficient with ML frameworks (NumPy, OpenCV, scikit‐learn, PyTorch/PyTorch3D, TensorFlow, Keras). Experience with CI/CD pipelines, version control (GitLab, Perforce), cloud platforms (preferably AWS) and scalable ...

detail. Proven track record of stakeholder relationship management, communication, and cross-team collaboration. We’d love to see: Strong proficiency in Python (Pandas, NumPy, and data visualization libraries). Experience developing or managing annotation programs and training/evaluation datasets for ML or NLP models. Basic understanding of HTML ...

management. Preferred Skills & Experience Proven experience developing systematic trading systems, preferably in equities. Strong programming skills in Python, with expertise in libraries such as NumPy, pandas, or Polars. Experience working with SQL databases, Snowflake, and cloud platforms (e.g. AWS). Strong analytical and problem-solving abilities. Excellent organizational skills with ...

/Computer Science Academic background 3-5 years of experience with Python (writing and managing code releases) Familiarity with numerical Python libraries, e.g. Pandas, Numpy Firm understanding of version control, testing, and continuous integration Understanding and appreciation for best practices Experience working with SQL databases and Sqlalchemy desired We encourage ...

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 ...

models that perform reliably in complex operational environments. What We’re Looking For Strong experience in Python and SQL, including libraries such as Pandas, NumPy and scikit-learn. Experience working with deep learning frameworks such as PyTorch or TensorFlow. A solid grounding in statistics and probability, with strong mathematical foundations ...

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 ...

understanding of commercial development practices such as testing, documentation, package management and SDLC* Excellent understanding of python for numerical programs. In particular, pandas and numpy are a must* Excellent problem-solving skills* Strong communication skills (the role will involve explaining complex algorithms to colleagues with varying technical and mathematical experience ...

full software development lifecycle (including information security and model risk controls):* **Python** coding experience is essential (especially libraries for data manipulation like Pandas/NumPy, and web frameworks like Flask/Django for internal tools).* **Databricks/Snowflake** experience in a data engineering context to support both traditional database ...

Required Skills: Python ML Model Development Kafka, Spark, PostgreSQL TensorFlow, PyTorch, pandas, NumPy, XGBoost R, Bash, scikit-learn, , LightGBM, Spark Mllib, Classical ML, Deep Learning, NLP, Time Series Forecasting, Apache Spark, Apache Airflow, Apache Kafka, RabbitMQ, PostgreSQL, MySQL, DataBricks ...

have? As our Data Scientist you will have: At least 2 years experience in Statistics and Machine Learning Experience with Python Machine Learning libraries (NumPy, Pandas, SKLearn etc) At least 3 years Python programming experience Experience applying models to Big Data Familiar with the principles of Continuous Integration and Deployment ...

Senior Data Scientist you will have: At least 4 years experience in Statistics and Machine Learning Experience with Python Machine Learning libraries (NumPy, Pandas, SKLearn etc) At least 3 years Python programming experience Experience applying models to Big Data Familiar with the principles of Continuous Integration and Deployment (CI/ ...

Bring: • Proven experience as a data scientist in complex or public‐sector environments • Strong proficiency in Python and common data science libraries (Pandas, NumPy, Sci‐Kit Learn, etc.) • Experience with data visualisation tools and techniques • Ability to communicate complex concepts clearly and effectively • Experience supporting or mentoring junior colleagues • Full ...

regulatory requirements into practical analytical frameworks Communicate complex findings clearly to technical and non-technical stakeholders Essential experience: Strong Python data science stack (pandas, NumPy, scikit-learn) Proven delivery of complex models (predictive, probabilistic, simulation-based) in real environments Deep experience in risk modelling, including risk scoring frameworks, predictive risk ...

models in production environments, particularly across forecasting, pricing, or optimisation use cases • Strong Python engineering skills alongside modern data tooling such as SQL, Pandas, NumPy, SciPy, Dask, Polars, DuckDB, or PySpark • Experience building microservices and working within distributed system architectures • Strong understanding of large-scale or high-frequency data environments ...

forecasting, pricing, optimisation, or similar analytical problem spaces • Solid Python skills and working knowledge of modern data tools such as SQL, Pandas, Polars, DuckDB, NumPy, or SciPy • Exposure to Dask, PySpark, distributed systems, or microservices is beneficial but not essential • Interest in working with large-scale or high-frequency datasets ...

demonstrable track record of success in online data‐science competitions, such as Kaggle) Strong object‐oriented engineering skills, with experience in Python, PyTorch and NumPy desirable The ability to apply advanced optimisation methods, modern ML techniques, HPC, profiling or model‐inference expertise; you do not need to have ...

communicate effectively with team members in diverse fields Strong programming abilities in Python, and extensive experience with the scientific and machine-learning stack: Numpy, Torch/Tensorflow/Jax, Scikit-learn, Polars, SQL Expertise with deep learning approaches such as diffusion or flow matching Proficiency in modern software development practices ...

been instrumental in: building machine learning models and pipelines in Python, using common libraries and frameworks (PyTorch/CUDA, ideally with exposure to JAX, NumPy/SciPy), especially including deep learning applications; developing models for bespoke problem settings that involve high‐dimensional data (spatiotemporal, geometric, physical); iterating on network architectures ...

similar quantitative discipline Have leadership experience either through previous management or mentorship Are proficient with Python, including open-source data libraries (e.g Pandas, Numpy, Scikit learn etc.) Have experience productionising machine learning models Are an expert in at least one of: predictive modelling, classification, regression, optimisation or recommendation systems Have … fine tuning, RAG, agents) Experience with graph technology and/or algorithms Our technology stack 💻 Python and associated ML/DS libraries (scikit-learn, numpy, LightlGBM, Pandas, LangChain/LangGraph, TensorFlow, etc..) PySpark AWS cloud infrastructure: EMR, ECS, Athena, etc. MLOps: Terraform, Docker, Airflow, MLFlow More information: Enjoy fantastic perks ...

culture within a growing team Nice to Have Kubernetes and cloud-native technologies Kafka or other real-time streaming platforms High-performance Python tooling (NumPy, Numba) Modern data technologies such as Polars, Apache Arrow, Flight/gRPC C++ and/or Rust Market data or financial systems experience SRE, DevOps ...