8 Feature Engineering Jobs in London

solution offerings. Provide expertise and guidance on AI best practices, contributing to the organization's AI strategy and innovation efforts. Conduct data analysis and feature engineering to prepare data for use in AI models, utilizing Azure Data Lake and other data storage solutions. Develop robust testing and validation … Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks is a plus. Solid background in machine learning algorithms, data pre-processing, feature engineering, and model evaluation. Experience with deep learning frameworks like TensorFlow or PyTorch is desirable. Proficiency in handling large datasets, experience with Azure more »

and computer vision. Collaborate with stakeholders to define project requirements, identify data sources, and establish success criteria. Conduct exploratory data analysis, data preprocessing, and feature engineering to optimize model performance. Train, validate, and fine-tune machine learning models using appropriate frameworks and libraries. Evaluate and compare the performance … organization. Document code, methodologies, and findings to ensure knowledge sharing and maintain high-quality standards. Qualifications: Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or a related field. Proven experience as a Machine Learning Engineer, Data Scientist, or similar role, with a strong track record of delivering more »

Python, Java, Scala or C++, and experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. Hands-on experience with data preprocessing, feature engineering, and model evaluation techniques. Strong problem-solving skills and the ability to think critically and analytically. Excellent communication and teamwork skills, with … the ability to collaborate effectively with colleagues from diverse backgrounds and disciplines. Preferred Qualifications: Master's degree or PhD in Computer Science, Engineering, Mathematics, Statistics, or a related field. MLOps experience, Experience with cloud computing platforms such as AWS, Azure, or GCP (Google Cloud Platform). Familiarity with big more »

in the modern day audit. You’ll get to work on technical assignments enabling you to develop skills in Advanced Analytics, Machine Learning, Data Engineering and sophisticated visualisation tools to provide clients with the PwC digital audit experience. This means that you’ll develop the technical, business and soft … Tableau) Understanding of common data quality issues and they effect they have on machine learning models; Data cleansing and manipulation for machine learning (e.g. feature engineering); Robotics experience eg UI Path; Experience and be able to demonstrate finance/accounting understanding; Experience with financial/general ledger data more »

in the modern day audit. You’ll get to work on technical assignments enabling you to develop skills in Advanced Analytics, Machine Learning, Data Engineering and sophisticated visualisation tools to provide clients with the PwC digital audit experience. This means that you’ll develop the technical, business and soft … Tableau) Understanding of common data quality issues and they effect they have on machine learning models; Data cleansing and manipulation for machine learning (e.g. feature engineering); Robotics experience eg UI Path; Experience and be able to demonstrate finance/accounting understanding; Experience with financial/general ledger data more »

Contribute to refining the analysis framework to facilitate scalable research efforts. Qualifications: • Hold an MS or PhD in mathematics, statistics, machine learning, computer science, engineering, quantitative finance, or economics. • Possess over 3 years of professional experience in systematic alpha research within cash equities, with exposure to statistical arbitrage or … exploring alternative data. • Exhibit fluency in data science methodologies, such as proficient feature engineering, with additional experience in machine learning being advantageous. • Have familiarity with signal blending techniques and portfolio construction. • Demonstrate mastery in Python programming. This role requires you to be coming from one of the top more »

projects on time and within scope. fundamentals in programming, statistics, mathematics, and ML algorithms (neural networks, tree-based methods, optimizers, super/unsupervised learning, feature engineering, etc.). Strong experience with Python required understanding of the ML/DS frameworks (XGBoost, Scikit-learn, Pandas, Numpy, etc.), and modular …/modern OOP software design practices with a modern ML/Data/Cloud engineering technical stack If you’re interested in this role and feel you fit some of the requirements, apply through the advert to find out more information. Senior Machine Learning Engineer more »

Our data scientists will be a part of the Intelligent Systems based in London but will work closely and collaborate with global product and engineering teams across the globe. The Intelligent Systems team is at the forefront of driving innovation through cutting-edge data science, machine learning, and generative … quantifying business impact. Proficiency in Python programming. Expertise in GIT and the data science Python stack. Experience with real-world data querying, manipulation, and feature engineering. Familiarity with cloud technologies. Strong attention to detail and ability to work independently with given direction. Efficient time and task management skills. Entrepreneurial … mindset and a can-do attitude. Passion for software development and engineering. Ability to collaborate in interdisciplinary teams of product, engineering, business, and technology experts. Desired skills Excellent communication skills with the ability to effectively engage with diverse stakeholders. Experience in a consumer-oriented, product-focused, or eCommerce business. more »