21 Feature Engineering Jobs

key part of your role. About us SThree is the global STEM-specialist talent partner that connects sought-after specialists in life sciences, technology, engineering and mathematics with innovative organisations across the world. We are the number one destination for talent in the best STEM markets: Recruiting highly skilled … 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 »

insights and identify patterns, trends, and anomalies. Develop and apply statistical models, machine learning algorithms, and predictive analytics techniques to solve complex business problems. Feature engineering and selection to optimize model performance and interpretability. Conduct hypothesis testing, A/B testing, and other statistical analyses to validate and … and familiarity with data science libraries and frameworks (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Solid understanding of data manipulation, data preprocessing, and feature engineering techniques. Experience with SQL and working with relational databases. Familiarity with big data technologies and distributed computing frameworks (e.g., Hadoop, Spark) is more »

positioned to help shape the future of streaming. Continued success relies on building customer relationships with Roku that delight and engages them. The Marketing Engineering team at Roku is focused on building the right products and services that help us provide the right communication to the right customers at … ll be doing ML-Infrastructure: Help build a first-class machine learning platform from the ground up which helps manage the entire model lifecycle: feature engineering, model training/evaluation, versioning, deployment/online serving and monitoring prediction quality Data Analysis/Feature Engineering: Apply your more »

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 »

Oxford, you will collaborate closely with our founders to drive the development of our platform. As a Lead Scientist, you will spearhead the design, engineering, and implementation of our inference engine, which underpins our diagnostic capabilities. Your role will involve managing tasks, allocating resources, and leading a team of … Engineers to ensure timely delivery of engineering milestones. Key Responsibilities: Lead the development of the inference engine leveraging digital signal processing techniques for feature engineering of two-dimensional time series data. Design, implement, and optimize statistical, deep learning, and ensemble models for microbial identification and antimicrobial profiling. … compliance in product development. Requirements: Degree in computer science, mathematics, physics, or related fields, with 3+ years of relevant work experience. Strong expertise in feature engineering of two-dimensional time series data and digital signal processing. Proficiency in statistical modeling, deep learning, and ensemble methods. Experience deploying machine 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 »

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 »

computer vision, and knowledge representation. Collect, preprocess, and analyze data from various sources to train and validate AI models. Conduct exploratory data analysis and feature engineering to optimize model performance. Train, validate, and fine-tune AI models using appropriate frameworks and libraries, such as TensorFlow, PyTorch, or scikit … 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 an AI Engineer, Machine Learning Engineer, or similar role, with a strong track record of delivering … solving abilities and attention to detail. Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams. Knowledge of software engineering principles and best practices is desirable. more »

the underlying domain, carrying out analysis, and integrating or developing new techniques for implementation and delivery as part of our product offerings. This includes feature engineering, applying varying models, testing, and validation, and best practices for use for customers. Responsibilities · Build required product and custom features while seeking … using Python to work with data. Most day-to-day work will be completed using Python. · A third level qualification in Computer Science, Software Engineering, Data Science, Civil/Environmental Engineering or other related discipline. · Experienced in Python development and tooling including Pandas, Scikit-learn or equivalent. · Experience more »

statistics, and data structures within relevant technical projects. Proficiency in programming languages, frameworks, and tools, such as Python, TensorFlow, PyTorch. Experience with data preprocessing, feature engineering, and model evaluation techniques. Highly Desirable: Experience working on aerospace-related projects Experience deploying MLOps solutions and working within CI/CD more »

following areas: Statistics, Machine Learning, Deep Learning & AI You will have experience at each process within data science, problem definition, data acquisition & wrangling, modelling, feature engineering and deployment What’s equally relevant is programming knowledge and a gift for coding using: R, Python, SQL, SAS or Spark You more »

areas: Statistics, Machine Learning, Deep Learning & AI You will have significant experience at each process within data science, problem definition, data acquisition & wrangling, modelling, feature engineering and deployment What’s equally relevant is programming knowledge and a gift for coding using: R, Python, SQL, SAS or Spark You 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 »

Ability to analyse and manipulate large datasets Solid understanding of digital signal processing, specifically related to audio and music. Knowledge of data preprocessing and feature engineering techniques Experience with machine learning frameworks and libraries Ability to work independently and collaboratively in a remote setting A good working knowledge more »

doing: Applying scientific methods through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions Building scalable machine learning pipelines and combining feature engineering with optimisation methods to improve the data product performance Exploring ways of using new data science tools and techniques to address business 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 »

Spec: Permanent position. 100% remote role. Skills: Sales experience Ideally experience with SaaS products focused on HR. Technical Lead Experience RESTful architecture · Team integration · Feature engineering · Enterprise Resource Planning (ERP) · Information systems · Software development · ASP.NET Web API · RESTful web services · Databases · Web Services API · Design patterns · Relational database more »