Generative AI to enhance traditional natural language processing tasks, prompt engineering, integrating LLMs into machine learning workflows Strong Python skills and familiarity with libraries such as scikit-learn, pandas, NumPy, PyTorch or TensorFlow Advanced SQL skills and experience working with complex, high-volume datasets Practical experience with MLOps tools and practices for deploying and maintaining models Experience leading projects and More ❯
Saint Louis, Missouri, United States Hybrid / WFH Options
Aqua IT
in a hybrid environment, balancing on-site and remote support as needed. Required Qualifications: • Experience with geospatial image processing techniques. • Proficiency in Python and relevant libraries (e.g., GDAL, OpenCV, NumPy, Rasterio). • Strong understanding of image enhancement, void filling, and algorithm development. • Ability to work independently and collaboratively in a hybrid work environment. • Active Top Secret clearance (TS/SCI More ❯
learning (in industry or academia) with published research papers and provenexpertise in Imitation Learning and Reinforcement Learning Expertise in programming languages and frameworks relevant to machine learning, including Python, NumPy and Pytorch. Strong understanding of data analysis, mining and preprocessing Research Ambition: A passion for pushing the boundaries of artificial intelligence and a commitment to publishing in top-tier conferences More ❯
in Computer Science, Mathematics or a 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 one of : predictive modelling, classification, regression, optimisation or recommendation systems Have experience with … experience with Large Language Models (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 like private healthcare & dental insurance More ❯
in Computer Science, Mathematics or a 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 one of : predictive modelling, classification, regression, optimisation or recommendation systems Have experience with … experience with Large Language Models (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 like private healthcare & dental insurance More ❯
you bring to the table Strong coding skills in any OOP languages (backend development) Proficient in Python programming with experience in AI/ML libraries such as LangChain, PydanticAI, NumPy Expertise in Large Language Models (LLMs) including fine-tuning, prompt engineering, and working daily with models like GPT, Claude, Gemini Hands-on experience with vector databases (e.g., OpenSearch, FAISS) for … Have you worked with Large Language Models (e.g., GPT, Claude, Gemini)? Can you briefly describe your hands-on experience with Python and AI/ML libraries such as LangChain, NumPy, or PydanticAI? We're particularly interested in how you've applied these tools in real-world projects Have you designed or worked with agentic AI systems (e.g., using MCP or More ❯
funding late this year. They code in Python, and React on the Frontend. Tech & Data Science stack: Kubernetes & Docker on Google Cloud Python 3: Pandas, RabbitMQ, Celery, Flask, SciPy, NumPy, Dash, Plotly, Matplotlib Javascript, React, Redux PostgreSQL, Redis Prometheus, Alert Manager, DataDog If you joined the company in a Data Science role you would be working on sophisticated pricing algorithms … know when to be pragmatic to ensure the best business outcomes You'll be a coder in Python, C++ or Java Experience of productionizing analytics code pandas, scipy and numpy If your a Data Scientist looking to go on an exciting new journey with an early stage startup, and the opportunity to work on advanced pricing algorithms is something that More ❯
Outside Location: East Midlands Industry: IT Salary: £450 - £500 per day + Outside IR35 Posted: 14/10/2024 Description Contract Python Developer, Full Stack Software Engineer, FastAPI, Numpy, Scipy, Matplotlib, PyQt/PySide, TypeScript, React/Angular, SQL, Django, MongoDB, Redis, Docker, Kubernetes - £500 a day outside IR35 - 3 months with possible extension Contract Python Developer required to … to obtain client info and Python Developer job spec. In your tool kit we will need to see experience of most of the following: Python (FastAPI, Numpy, Scipy, Matplotlib, PyQt/PySide, etc) TypeScript, React, Chakra UI REST, GraphQL, gRPC, Socket.IO SQL, Django, GitLab, Continuous Integration & Delivery, Docker, Kubernetes VTK A great time to join this client as they embark More ❯
within our growing forecast offering. Developing our power market and dispatch models to grow and enhance Modo's product offering. We use Python and the standard scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.). Working closely with our product and analytics functions to ensure the product we deliver aligns closely with user needs and provides value to the wider … Modo team. Qualifications: 3 to 5 years experience using Python (or another programming language e.g. R, C++, Java) and with the scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.). Strong quantitative skills and a proven track record of solving complex technical problems using data analysis, machine learning, and optimization techniques. Hands-on experience with cloud environments (e.g., AWS) for More ❯
within our growing forecast offering. Developing our power market and dispatch models to grow and enhance Modo's product offering. We use Python and the standard scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.). Working closely with our product and analytics functions to ensure the product we deliver aligns closely with user needs and provides value to the wider … Modo team. Qualifications: 3 to 5 years experience using Python (or another programming language e.g. R, C++, Java) and with the scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.). A degree in a quantitative field such as mathematics, engineering, computer science, physics or a related discipline. Previous experience in energy modelling, with a specific focus on the GB and More ❯
within our growing forecast offering. Developing our power market and dispatch models to grow and enhance Modo's product offering. We use Python and the standard scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.). Working closely with our product and analytics functions to ensure the product we deliver aligns closely with user needs and provides value to the wider … Modo team. Qualifications: 3 to 5 years experience using Python (or another programming language e.g. R, C++, Java) and with the scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.). A degree in a quantitative field such as mathematics, engineering, computer science, physics or a related discipline. Previous experience in energy modelling, with a specific focus on the GB and More ❯
discipline Understanding of NLP algorithms and techniquesand/or experience with Large Language Models (fine tuning, RAG, agents) 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 one of predictive modeling, classification, regression, optimisation or recommendation systems Have experience with Spark Have knowledge of … or geographical information systems (GIS) Experience with cloud infrastructure 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 like private healthcare & dental insurance More ❯
discipline Understanding of NLP algorithms and techniquesand/or experience with Large Language Models (fine tuning, RAG, agents) 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 one of predictive modeling, classification, regression, optimisation or recommendation systems Have experience with Spark Have knowledge of … or geographical information systems (GIS) Experience with cloud infrastructure 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 like private healthcare & dental insurance More ❯
Contract Python Developer, Full Stack Software Engineer, with experience in FastAPI, Numpy, Scipy, Matplotlib, PyQt/PySide, TypeScript, React/Angular, SQL, Django, MongoDB, Redis, Docker, Kubernetes - £500 a day outside IR35 - 3 months with possible extension. We are seeking a Contract Python Developer to work with a sustainable engineering client based in the East Midlands. The role requires … Derby, and Leicester. For more information and the detailed Python Developer job spec, feel free to contact me at . Required experience in most of the following areas: FastAPI Numpy, Scipy, Matplotlib PyQt/PySide TypeScript, React/Angular SQL, Django MongoDB, Redis Docker, Kubernetes This is a great opportunity as the client is investing heavily in technology and facilities. More ❯
analyze large datasets and derive actionable insights for equity portfolios. Build and maintain data pipelines, ensuring data accuracy, reliability, and scalability. Use Python (and related libraries such as Pandas, NumPy, etc.) to develop and automate tasks, backtest strategies, and optimize performance. Work with portfolio managers to create tools for portfolio construction, risk analysis, and scenario modeling. Ensure seamless integration of … Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Physics, Finance, or a related field. Strong proficiency in Python, with a deep understanding of libraries like Pandas, NumPy, and others for data manipulation and analysis. Solid understanding of financial markets, particularly equities, and portfolio management concepts. Knowledge of databases (SQL, NoSQL) and experience in working with large datasets. More ❯
analyze large datasets and derive actionable insights for equity portfolios. Build and maintain data pipelines, ensuring data accuracy, reliability, and scalability. Use Python (and related libraries such as Pandas, NumPy, etc.) to develop and automate tasks, backtest strategies, and optimize performance. Work with portfolio managers to create tools for portfolio construction, risk analysis, and scenario modeling. Ensure seamless integration of … Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Physics, Finance, or a related field. Strong proficiency in Python, with a deep understanding of libraries like Pandas, NumPy, and others for data manipulation and analysis. Solid understanding of financial markets, particularly equities, and portfolio management concepts. Knowledge of databases (SQL, NoSQL) and experience in working with large datasets. More ❯
mitigation strategies. Design, develop, and implement quantitative models to assess Value at Risk (VaR), portfolio sensitivities, and other market risk metrics. Utilize Python programming language and relevant libraries (Pandas, NumPy, SciPy) to manipulate, analyze, and visualize market data. Build and maintain data pipelines for efficient ingestion, transformation, and cleansing of financial data from various sources. Conduct back-testing and stress … Master's degree in Computer Science, Mathematics, Finance, or a related field. Strong understanding of market risk principles and methodologies, including econometrics. Proficiency in Python and relevant libraries (Pandas, NumPy, SciPy). Solid understanding of time series analysis techniques and statistical modeling. Experience with building and maintaining data pipelines for financial data. Excellent communication and collaboration skills. Ability to work More ❯
Company Description At Red Hat, we connect an innovative community of customers, partners, and contributors to deliver an open source stack of trusted, high-performing solutions. We offer cloud, Linux, middleware, virtualization, and AI technologies, together with award-winning global More ❯
Data Engineer Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is More ❯
enable decision-making at scale. Core Responsibilities Gather and reformat data from Government-identified primary and secondary sources for human and machine analysis. Use Python-based statistical tools (e.g., NumPy) and GIS tools (e.g., ArcGIS) to analyze datasets and identify trends, patterns, and insights relevant to mission outcomes. Prepare analytical reports that clearly communicate findings to executive leadership in the … of relevant experience applying data analysis principles, including predictive analytics and working with on-prem and cloud-based data systems. Intermediate proficiency with Python, including use of libraries like NumPy or pandas. Familiarity with business intelligence (BI) methodologies, API integrations, and database design. Demonstrated ability to identify trends and build diagnostic or predictive models. Experience preparing data-driven deliverables for More ❯
HOW A MACHINE LEARNING ENGINEER WILL MAKE AN IMPACT Own your opportunity to serve as a critical component of our nation's safety and security. Make an impact by using your expertise to protect our country from threats. Job Description More ❯