London, South East, England, United Kingdom Hybrid / WFH Options
Huxley
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 ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Hays Specialist Recruitment Limited
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 ❯
components independently based on requirements Experience leading discussions with customer stakeholders to align on requirements and technical implementations Required Skills: Data Processing Python Libraries such as PySpark, Pandas and Numpy Experience with API development in Python using Python libraries such as FastAPI Experience with Unit Testing Frameworks in PyTest and Mocking Preferred Skills/Experience: Experience with Python ORM tools More ❯
you have what it takes? Required Qualifications TS/SCI with Polygraph Required Skills: Minimum 3-5 years' experience with: • Data Processing Python Libraries such as PySpark, Pandas and Numpy • Experience with API development in Python using Python libraries such as FastAPI • Experience with Unit Testing Frameworks in PyTest and Mocking Preferred Skills/Experience: • Experience with Python ORM tools More ❯
practices. -Engage with customer stakeholders to align on requirements and implementations. Required Skills: Minimum of 3 years of experience with: -Data Processing Python libraries such as PySpark, Pandas, and NumPy -API development in Python using libraries such as FastAPI -Unit testing frameworks such as PyTest (including mocking) -Familiarity with large-scale data processing, CI/CD pipelines, and cloud deployment More ❯
software Experience integrating Python code into Docker containers as part of a distributed architecture. Requirements: 1-3 years' experience with: Data Processing Python Libraries such as PySpark, Pandas and Numpy Experience with API development in Python using libraries such as FastAPI Experience with Unit Testing Frameworks in PyTest and Mocking Preferred Skills: Experience with Python ORM tools for database as More ❯
on requirements Experience leading discussions with customer stakeholders to align on requirements and technical implementations Requirements: 7+ years' experience with: Data Processing Python Libraries such as PySpark, Pandas and Numpy Experience with API development in Python using libraries such as FastAPI Experience with Unit Testing Frameworks in PyTest and Mocking Preferred Skills: Experience with Python ORM tools for database as More ❯
architecture best practices. Work directly with customer stakeholders to align requirements and technical implementations.Required Skills & Experience (3-5 years minimum) Strong proficiency with Python data processing libraries (PySpark, Pandas, NumPy). Hands-on experience developing APIs with FastAPI or similar frameworks. Experience writing unit tests with PyTest and leveraging mocking frameworks. Familiarity with CI/CD pipelines and automated testing More ❯
and coding skills (e.g., Python, C++, or Java) - Previous work on agents or LLMs PREFERRED QUALIFICATIONS - 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 opportunity employer and does not discriminate on the basis of protected veteran status 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 ❯
years of experience building production-level AI or ML systems, including LLMs, agents, or complex automation frameworks 3+ years of experience with Python and Python tools, including Pandas or NumPy Experience with Large Language Models ( LLMs ) , ML, Deep Learning ( DL ) , and Reinforcement Learning ( RL ) Experience with tools and AI agent frameworks such as TensorFlow, PyTorch, or LangChain Experience acquiring client More ❯
platform. Qualifications: 4+ years of relevant hands-on experience developing and implementing ML algorithms Practical experience training and deploying Machine Learning models. Ideal candidate would have experience with PyTorch, NumPy, TensorFlow, VS Code) Understanding of machine learning techniques and algorithms, data mining, and statistical analysis. Experience with cloud platform (AWS, Azure and GCP), AWS experience preferred Proven experience with modern More ❯
with customer stakeholders to align on requirements and technical implementations Must have: 3+ years of experience with Python Experience with Data Processing Python Libraries such as PySpark, Pandas and Numpy Experience with API development in Python using Python libraries such as FastAPI Experience with Unit Testing Frameworks in PyTest and Mocking Nice to have: Experience with Python ORM tools for 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 ❯
Falls Church, Virginia, United States Hybrid / WFH Options
Associates Systems LLC
of. • 5+ years of Data Science development experience using Python • Proficiency in data science, machine learning, and analytics, including statistical data analysis, model and feature evaluations. • Strong proficiency in numpy & pandas. • Demonstrated skills with Jupyter Notebook or comparable environments • Practical experience in solving complex problems in an applied environment, and proficiency in critical thinking. Dod Secret or higher preferred More ❯
implement basic AI algorithms and explore practical applications of AI. Overview of AI and Machine Learning Types of machine learning (supervised, unsupervised, reinforcement) Introduction to Python Libraries for AI - NumPy, Pandas, Matplotlib Scikit-learn for machine learning Building AI Models Data preprocessing Training and evaluating models Advanced Programming for AI Integration This programme aims to equip participants with the knowledge 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 ❯
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 ❯
San Antonio, Texas, United States Hybrid / WFH Options
IAMUS
experience equivalent (+4 years relevant experience can substitute for a BS degree) Security Clearance-Current active TS, SCI eligible Strong skills in Python, especially for data manipulation (e.g., Pandas, NumPy) and machine learning, natural language processing (e.g., Scikit-Learn, PyTorch, Spa Cy, NLTK) Fluency with data extraction, custom translation development, and loading including data prep and labeling to enable data More ❯
