76 to 100 of 125 NumPy Jobs in England

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 ...

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 ...

/NLP stack High quality production code in Python . Libraries such as NetworkX , TensorFlow or PyTorch , NLTK, spaCy, Hugging Face, BERT , Pandas, NumPy, scikit learn . Graph based ML familiarity: link prediction, anomaly detection, traversal, community detection. NLP/NLU skills: entity/relation recognition, summarisation, topic modelling, classification ...

analysis and toxicity modelling Automated hedging and inventory optimisation Numerical optimisation or machine learning applied to pricing or trading Python quantitative libraries such as NumPy, SciPy and Pandas Low-latency or high-throughput trading systems Quant Dev Quant Developer Quantitative Developer Java Java 21 Java 22 Java21 Java22 ...

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 ...

programming with Java, C++ or another object‐oriented language Experience performing data analysis in Python, including proficiency with data science libraries such as NumPy and pandas, and visualization tools Ability to translate quantitative models into reliable, maintainable production code Effective interpersonal and communication skills; ability to collaborate with traders, quantitative ...

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 ...

reasonable industry experience, or an MS with significant industry or research experience. 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 ...

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 ...

experience, or an MS with significant industry or research experience in the field\ NExtensive experiencewith machine learning and deep learning toolkits (e.G.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)\ NAbility to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business ...

Storage (ADLS). Solid understanding of Scrum practices and a strong Agile mindset. Advanced proficiency in Python and its key data and ML libraries (NumPy, PySpark, Scikit learn, TensorFlow/PyTorch) Working knowledge of generative AI models (e.g., ChatGPT, Claude), Databricks GenAI tooling (including embedding models), and modern data structures ...

NICE TO HAVE BUT NOT ESSENTIAL \n \n \n Proficient in python’s various data transformation, visualisation and statistics libraries i.e. pandas, numpy , scipy and plotly \n \n Experience leading a team or owning a whole product domain \n\n PROCESS \n 1) Screening call with recruiter - 30 mins ...

concise documentation and analysis. NICE TO HAVE BUT NOT ESSENTIAL Proficient in python s various data transformation, visualisation and statistics libraries i.e. pandas, numpy , scipy and plotly Experience leading a team or owning a whole product domain PROCESS 1) Screening call with recruiter - 30 mins 2) Take home Case Study ...

analysis.\ N\nNICE TO HAVE BUT NOT ESSENTIAL\ N\n\n Proficient in python’s various data transformation, visualisation and statistics libraries i.E. pandas, numpy, scipy and plotly\ N\n Experience leading a team or owning a whole product domain\ N\nPROCESS \n1) Screening call with recruiter - 30 mins ...

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 ...

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 ...

experience and solid understanding of machine learning and deep learning methods \n Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) \n Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with ...

experience and solid understanding of machine learning and deep learning methods 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 ...

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 ...