76 to 92 of 92 NumPy Jobs in England

capabilities using business data Strong understanding of data preparation, feature engineering and model evaluation Experience with Python-based data and ML tooling, e.g. Pandas, NumPy and scikit-learn Experience with ML tooling within Microsoft Fabric or Azure, e.g. MLflow, notebooks, SynapseML or equivalent Ability to structure data for AI/ ...

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 ...

with significant industry or research experience in the field Extensive experience with machine learning and deep learning toolkits (e.g. TensorFlow, PyTorch, NumPy, Scikit‐Learn, Pandas) Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals Experience with ...

work experience Preferred Qualifications Experience using managed ML/AI solutions Experience with modeling tools such as R, scikit‐learn, Spark MLLib, MxNet, TensorFlow, NumPy, SciPy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunities employer. We believe passionately that employing ...

fulltime basis (with some flexibility). About you: You have strong backend software engineering experience with Python, including Python libraries such as PyTorch, NumPy You have experience working with asynchronous, parallel or distributed systems You have a good knowledge of at least one relational database e.g. SQL Server, Oracle ...

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 ...

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 ...

years of experience conducting research in machine learning, evidenced by publications or prior research roles. Experience in programming with Python-based scientific libraries (e.g., NumPy, SciPy, JAX, or TensorFlow). Experience with language models (LLMs), transformers, diffusion models, text diffusion, or distributed training. Experience with machine learning, mathematics, and statistics ...

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 ...

professional industry setting (excluding post‐doc positions), with exposure to: building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch, JAX), especially including deep learning applications; developing models for bespoke problem settings that involve high‐dimensional data (spatiotemporal, geometric, physical); iterating ...

practical, real-world applications. You'll ideally have experience with: Strong Python development skills Deep Learning and modern Machine Learning techniques PyTorch, JAX, NumPy or similar ML frameworks Building, training and evaluating machine learning models Time-series analysis, forecasting or sensor data Reinforcement Learning or optimisation techniques Simulation modelling, digital ...

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 ...

Experience in machine learning Exposure to machine learning models and corresponding statistics like K‐means, Bayesian, Clustering Strong technical skills with Python along with NumPy, Pandas, Scikit‐Learn Machine learning experience -> predictive and prescriptive modelling Data wrangling and data cleansing experience Strong analytical skills Any experience with Node.JS would … IOS. Experience in Java and Python. Exposure to MVC frameworks such as spring, hibernate, & other java related frameworks. Exposure to packages in Python, including numpy, pandas, matplotlib, etc. Familiar with relational & non‐relational databases such as SQL Server, MySQL, Mongo. Experience interacting with REST APIs. Developed web services and used ...

join their team. The Profile: Experience: 2–8 years in a Quant Development role (Hedge Fund or Tier-1 IB) Tech Stack: Python, NumPy, Pandas, etc. Domain (Essential): Deep knowledge of Fixed Income or Credit products Why Apply? Culture: Flat structure, rapid release cycles, no red tape Stack: Greenfield projects ...

/or LangGraph Familiarity with machine learning frameworks, model deployment, and inference technologies Experience using Python data and matrix manipulation libraries such as NumPy and pandas This company highly values a top academic history, so is looking for a 1st or 2:1 in Computer Science, Mathematics, Physics, Engineering, Machine …/AI Integration Engineer/Python/Large Language Models/LLM/LangChain/LangGraph/PyTorch/ONNX/ONNX Runtime/NumPy/pandas/Machine Learning/Artificial Intelligence/GPU Optimisation/Rust/ort/Model Inference/Model Acceleration/Deep Learning/ ...