team of Engineers, working to design, develop and maintain my clients analysis pipeline for their core platform. Working with Python and libraries such as, NumPy, SciPy and Pandas for real-time data processing. The Company The Senior Software Engineer, will join an innovative organisation who are dominating their field, creating … required of the Senior Software Engineer? Extensive experience developing software in Python Experience with real-time data processing Experience with Python libraries such as, NumPy, Pandas, SciPy etc. Any Medical Device Software development and understanding of IEC 62304 would really set your application apart! What Next? If you're a more »
machine learning for marketing analytics, including MMM or econometrics. Track record of creating products for marketing teams or stakeholders. Proficiency in SQL, Python (pandas, NumPy, scikit-learn), and translating technical insights. Experience with A/B testing, segmentation analysis, and propensity modelling. Strong communication skills for creating user-friendly solutions more »
robustness and security of the system to the next level. The tech stack: Kotlin (Spring: Boot, Data, Cloud and Security), Python (Django/Flask, NumPy, SciPy, Scikit-learn, Pandas, Statsmodels), AWS, Docker, Kubernetes, Kafka, Microservices, TDD. Based in Central London (closest train stations: Tottenham Court Road, Euston, Goodge Street) they more »
and machine learning solutions to tackle business problems Comfort with rapid prototyping and disciplined software development processes Experience with Python, ML libraries (e.g. spaCy, NumPy, SciPy, Transformers, etc.)data tools and technologies (Spark, Hadoop, Hive, Redshift, SQL), and toolkits for ML and deep learning (SparkML, Tensorflow, Keras) Demonstrated ability to more »
series forecasting with large-scale, real-world datasets. Software development experience in Go, C/C++, Java, or similar. Experience using SQL, Python (Pandas, NumPy, Scikit-Learn, etc.)/R or equivalent. Experience with Data Storage, Ingestion, and Transformation (Spark, Kafka or similar tools). Experience developing cloud infrastructure services more »
Artificial Intelligence in practical systems Experience in Machine Learning, NLP, Deep Learning, Neural Networks and data processing libraries (Tensorflow, Sci-kit learn, Pandas, Scipy, Numpy at least three or more) Experience in Data mining, Data warehousing, ETL Experience in handling large volumes of data on SQL, NoSQL and Big Data more »
how to manage stakeholder relationships. Experience in Machine Learning, NLP, Deep Learning, Neural Networks and data processing libraries (Tensorflow, Sci-kit learn, Pandas, Scipy, Numpy at least three or more) Experience in in management either at a lead or support level. Experience in handling large volumes of data on SQL more »
understanding of commercial development practices such as testing, documentation, package management and SDLC Excellent understanding of python for numerical programs. In particular, pandas and numpy are a must Excellent problem-solving skills Strong communication skills (the role will involve explaining complex algorithms to colleagues with varying technical and mathematical experience more »
Have an advanced degree in Computer Science, Mathematics or a similar quantitative discipline 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 system Have experience more »
series forecasting with large-scale, real-world datasets. Software development experience in Go, C/C++, Java, or similar. Experience using SQL, Python (Pandas, NumPy, Scikit-Learn, etc.)/R or equivalent. Experience with Data Storage, Ingestion, and Transformation (Spark, Kafka or similar tools). Experience developing cloud infrastructure services more »
the following experience: Experience building enterprise systems in Python with a high level of Python fluency (mandatory) Core Python (mandatory) (mandatory) SQL (mandatory) Pandas, NumPy, SciPy etc (preferred) Cloud experience (preferred) TDD (mandatory) Experience writing clean, maintainable code (mandatory) Front office experience (preferred) This is an initial 6 month contract more »
traders/technologists to aggregate large data data sets and make conclusions with said data for the investment team. Tech: Python, SQL, AWS, Pandas, Numpy, C# etc Best applicants will have 2-5 years experience, be able to work with Bloomberg/Reuters data ecosystems, come from a top bank more »
in data clustering (correlation and hierarchical algorithms). Expert in SQL and Python, DBT, and standard data science libraries and frameworks such as pandas, numpy, scikit-learn, TensorFlow/PyTorch, PySpark, etc. Experience with Infrastructure-as-Code, Continuous Integration & Deployment patterns. Experience with PostgreSQL, Google Cloud Platform, and BigQuery. Excellent more »
to solve business-relevant problems and communicating complex concepts and methods to audiences with diverse technical backgrounds. High fluency with the Python data stack (numpy, pandas, scikit-learn, etc). Experience in collaborative data product development and peer code review, including version control tools like git. Experience developing, releasing, and more »
solving skills in probability and statistics. Proficiency with data manipulation and modelling tools e.g., pandas, statsmodels, R. Experience with scientific computing and tooling e.g., NumPy, SciPy, R, Matlab, Mathematica, BLAS. Self-driven with the capability to efficiently manage projects end-to-end. Bonus: Experience building machine learning models from scratch more »
add experts to the machine learning team! The best-matched machine learning engineer will have the following experience and abilities: Tech: Python (ScikitLearn, Pandas, Numpy, Scipy) and GCP Hybrid working in London, 3 days a week in the office Desirable: experience mentoring junior team members and reviewing code Must have more »
Computer Vision Frameworks used in Machine Learning and Data Science such as TensorFlow, PyTorch, and scikit-learn. Data Science and Visualisation libraries including Pandas, NumPy, scikit-learn, matplotlib, Seaborn. Cloud services used in machine learning and data science, such as Azure, OpenAI, Hugging Face, AWS ML/AI. Machine Learning more »
Science, Mathematics, Statistics, Business Administration, or related field. Advanced knowledge of SQL and Python, including popular Data Science packages such as pandas, matplotlib, seaborn, numpy, and sklearn. Familiarity with machine learning algorithms and techniques, with a deep understanding of their underlying principles. Strong problem-solving skills and meticulous attention to more »
require the ability to become a fluent Python programmer in a short timeframe An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A more »
Research Testing Mathematics Physics Statistics Quantitative Navigation NLP RAG Hosting Tools, Libraries and Frameworks Jupyter Notebook MySQL PostGres RedShift AWS Tensorflow Scikit-learn NoteBooks NumPy Description Trainline uses AI to enhance sustainable travel choices by integrating advanced machine learning models into their platform to improve search capabilities, find the lowest more »
fraud detection. Requirements: Programming Proficiency: Fluency in Python with deep knowledge of statistical packages and ML/DL libraries/frameworks (e.g., Scikit-learn, NumPy, Keras/TensorFlow/PyTorch) and visualization libraries (e.g., Matplotlib, Plotly, Seaborn). Database Skills: Fluency in SQL and familiarity with data visualization tools (e.g. more »
