1 to 25 of 60 NumPy Jobs in the UK

validation processes Ensure integration with internal data sources and reporting tools Required Skills 5+ years of Python development experience, ideally in financial services or commodities Strong proficiency in Pandas , NumPy , and time-series data manipulation Proven experience with FastAPI or Flask Familiarity with large datasets and real-time data pipelines Excellent debugging, profiling, and performance optimization skills Strong communication skills More ❯

validation processes. Integrate with market data, storage systems, and reporting platforms. Required Skills 5+ years' Python development experience, ideally within trading, risk, or financial services. Strong background with Pandas, NumPy, and data science libraries . Hands-on experience with Flask or FastAPI for API development. Proficiency in time-series data manipulation and back-testing methods. Experience working with large datasets More ❯

validation processes. Integrate with market data, storage systems, and reporting platforms. Required Skills 5 years' Python development experience, ideally within trading, risk, or financial services. Strong background with Pandas, NumPy, and data science libraries . Hands-on experience with Flask or FastAPI for API development. Proficiency in time-series data manipulation and back-testing methods. Experience working with large datasets More ❯

MVP development and iteration. Data Storyteller makes technical findings accessible and impactful. Connector collaborates seamlessly across data, commercial, and ops teams. Hard Skills Required Programming & Data Science: Python (Pandas, NumPy, scikit-learn, TensorFlow or PyTorch) essential; R (desirable) Data Engineering & Cloud: Advanced SQL, ETL/ELT tools (Airflow/dbt), AWS/Azure/GCP Machine Learning & AI: Classification, regression More ❯

MVP development and iteration. Data Storyteller makes technical findings accessible and impactful. Connector collaborates seamlessly across data, commercial, and ops teams. Hard Skills Required Programming & Data Science: Python (Pandas, NumPy, scikit-learn, TensorFlow or PyTorch) essential; R (desirable) Data Engineering & Cloud: Advanced SQL, ETL/ELT tools (Airflow/dbt), AWS/Azure/GCP Machine Learning & AI: Classification, regression More ❯

Proficient in designing, developing, and maintaining RESTful APIs for data services using Python frameworks such as FastAPI, Flask, or Django. Strong experience with Python's data ecosystem (e.g., Pandas, NumPy) and deep expertise in SQL for building robust data extraction, transformation, and analysis pipelines. Hands-on experience with big data processing frameworks such as Apache Spark, Databricks, or Snowflake, with More ❯

lead technical workstreams to elevate team capability. Essential Skills & Experience Proven experience in analytics engineering , data engineering , or model development roles. Advanced proficiency in Python (including libraries such as NumPy and Pandas) and SQL . Demonstrated ability to deliver production-ready solutions in a commercial environment. Strong communication skills with the ability to engage stakeholders and translate technical work into More ❯

lead technical workstreams to elevate team capability. Essential Skills & Experience Proven experience in analytics engineering , data engineering , or model development roles. Advanced proficiency in Python (including libraries such as NumPy and Pandas) and SQL . Demonstrated ability to deliver production-ready solutions in a commercial environment. Strong communication skills with the ability to engage stakeholders and translate technical work into More ❯

and operational efficiency. Ensure data ethics and preparation are integral to projects. Develop machine learning models and algorithms for complex challenges. Code in R or Python, utilizing libraries like numpy, scipy, and pandas. Conduct exploratory data analysis, model development, and evaluation. Work with both RDBMS and distributed datasets, demonstrating strong SQL skills. Design cloud-based data pipelines for scalable and More ❯

data filtering, pivot tables, vlookup, SUMIF/SUMIFS, charts. BI tools. Desirable PowerBI A/B testing. Split principles, test planning, logging. Desirable hard skills Python. Data analysis, pandas, numpy, scipy, statsmodels, seaborn, matplotlib etc. ETL processes. Airflow, Pentaho etc. IT understanding. Client-server processes. API. Back-end and front-end. Parsing. Algorithms and data structures. Management. Sprints, AGILE. Waterfall. More ❯

write ad-hoc and complex queries to perform data analysis. Databricks experience is essential. Experience developing data pipelines and data warehousing solutions using Python and libraries such as Pandas, NumPy, PySpark, etc. You will be able to develop solutions in a hybrid data environment (on-Prem and Cloud). You must be able to collaborate seamlessly across diverse technical stacks More ❯

write ad-hoc and complex queries to perform data analysis. Databricks experience is essential. Experience developing data pipelines and data warehousing solutions using Python and libraries such as Pandas, NumPy, PySpark, etc. You will be able to develop solutions in a hybrid data environment (on-Prem and Cloud). You must be able to collaborate seamlessly across diverse technical stacks More ❯

of experience and qualifications by reading the full overview of this opportunity below. The role will be working within a LNG, Power, Gas team. Requirements: Python Development Libraries - Pandas, Numpy, SciPy Preference for multiple language (C#, C++, Rust, Java) Quantitative development. Commodities experience, LNG, Gas, Power would be a bonus. An understanding of DevOps, specifically Azure cloud experience would be More ❯

Mandatory Good understanding of quantitative finance Good experience developing and optimising Python-based calculators and models. Strong experience developing high-performance APIs using Flask or FastAPI. Expertise in Pandas, NumPy and other computing libraries. Strong experience liaising with front-office stakeholders What you'll get in return Initial 6-month contract with extensions Up to £700pd umbrella London-based hybrid More ❯

My Energy Trading client are looking for a Quantitative Python Developer to join their team.The role will be working within a LNG, Power, Gas team.Requirements: Python Development Libraries - Pandas, Numpy, SciPy Preference for multiple language (C#, C++, Rust, Java) Quantitative development. Commodities experience, LNG, Gas, Power would be a bonus. An understanding of DevOps, specifically Azure cloud experience would be More ❯

Trading client are looking for a Quantitative Python Developer to join their team. The role will be working within a LNG, Power, Gas team. Requirements: Python Development Libraries - Pandas, Numpy, SciPy Preference for multiple language (C#, C++, Rust, Java) Quantitative development. Commodities experience, LNG, Gas, Power would be a bonus. An understanding of DevOps, specifically Azure cloud experience would be More ❯

Mandatory Good understanding of quantitative finance Good experience developing and optimising Python-based calculators and models. Strong experience developing high-performance APIs using Flask or FastAPI. Expertise in Pandas, NumPy and other computing libraries. Strong experience liaising with front-office stakeholders What you'll get in return Initial 6-month contract with extensions Up to £700pd umbrella London-based hybrid More ❯

Detection, LLMs, and frameworks such as Transformers (Hugging Face), PyTorch, OpenCV, YOLO. Programming: Strong Python (3.9+) skills, including OOP, async patterns, data structures, debugging. Data Processing: Proficient with Pandas, NumPy, SQLAlchemy/psycopg2, AWS Boto3. Cloud & Infrastructure: Hands-on AWS (Lambda, S3, CloudWatch, IAM, CDK, SQS, EKS/ECS/Kubernetes). API Development: FastAPI, REST API design, external integrations More ❯

technologies: OCR, Object Detection, LLMs Libraries: Transformers/Hugging Face, PyTorch, OpenCV, PIL/Pillow, YOLO Python 3.9+ with OOP, async/await, and debugging techniques Data tools: Pandas, NumPy, SQLAlchemy/psycopg2 AWS: Lambda, S3, CloudWatch, IAM, CDK, SQS, EKS/ECS API development: FastAPI, Requests, JWT/OAuthDevelopment Practices Agile methodologies (Scrum/Kanban), XP techniques (TDD, pair More ❯

technologies: OCR, Object Detection, LLMs Libraries: Transformers/Hugging Face, PyTorch, OpenCV, PIL/Pillow, YOLO Python 3.9+ with OOP, async/await, and debugging techniques Data tools: Pandas, NumPy, SQLAlchemy/psycopg2 AWS: Lambda, S3, CloudWatch, IAM, CDK, SQS, EKS/ECS API development: FastAPI, Requests, JWT/OAuth Development Practices Agile methodologies (Scrum/Kanban), XP techniques (TDD More ❯

specific challenges Drive the adoption of best practices in data science across the organisation, lead other data science engineers MINIMUM QUALIFICATIONS Industry experience using Python for data science (e.g. numpy, scipy, scikit, pandas, etc.) and SQL or other languages for relational databases. Experience with a cloud platform such as (AWS, GCP, Azure etc.) Experience with common data science tools; statistical More ❯

skills with experience building complex, maintainable systems Professional software development experience with a track record of delivering high-quality, production-grade code Experience with scientific computing libraries such as NumPy, Pandas, or SciPy in production environments Holistic software development mindset covering testing, documentation, security, and performance Track record of mentoring other engineers and sharing knowledge across teams Working knowledge of More ❯

Role Requirements 2-4 years' experience in applied machine learning and generative AI, including work with large language models. Strong Python programming skills with experience in core ML libraries (numpy, pandas, scikit-learn, boosting methods). Proven ability to design, test, and deploy production-ready machine learning solutions. Hands-on experience in data processing and feature engineering for complex datasets. More ❯

Stay up-to-date with emerging trends and technologies in the field of data science. Requirements Proven experience as a data scientist using Python and a range of libraries (Numpy, Pandas, Scikit-Learn, Matplotlib, Plotly etc.). Strong expertise in statistical modelling, machine learning, and data mining techniques. Experience in computer vision is essential. Data engineering (pipelines, databases, infrastructure), ideally More ❯

Communicate technical concepts clearly to technical and non-technical stakeholders. Essential Skills & Experience Hands-on experience in ML, NLP, and GenAI (LLM/SLM). Proficiency in Python (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow). Experience with SQL/NoSQL databases, APIs, and data integration. Exposure to on-premise/open-source AI frameworks. Strong problem-solving and communication More ❯