17 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 »

our products and services will be key.About usSThree 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 organisation's AI strategy and innovation efforts. Conduct data analysis and feature engineering to prepare data for use in AI models, utilising Azure Data LakeDevelop robust testing and validation processes to ensure the accuracy and … solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks desirableSolid background in machine learning algorithms, data preprocessing, feature engineering, and model evaluation. Experience with deep learning frameworks like TensorFlow or PyTorch is desirable.Proficiency in handling large datasets, experience with Azure Data 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 »

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 »

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 »

our software platform "repcon." Write clean, efficient, and well-documented code to support the development and deployment of machine learning models. Perform data preprocessing, feature engineering, and model evaluation to ensure high-quality results. Stay updated on the latest advancements in machine learning and neural networks and apply … paced environment. Excellent problem-solving skills and attention to detail. Strong communication and interpersonal skills. Preferred Qualifications: Master's or PhD in Computer Science, Engineering, Mathematics, or related field. Experience with natural language processing (NLP) tasks. Knowledge of reinforcement learning algorithms. Experience with cloud computing platforms such as AWS more »

data is needed to train model for production.Ensure validation strategies are implemented with the understanding of an emerging AI ethics framework.Define the preprocessing or feature engineering to be done on a given dataset, defining data augmentation pipelines.Train models and tuning their hyperparameters, analyzing the errors of the model 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 »

including but not limited to Sales, Marketing, Growth and Customer Success organizationsOwn end-to-end implementation of data science projects (feasibility analysis, data preparation, feature engineering, model evaluation, deployment, and maintenance) in collaboration with data analysts, data scientists, data engineers, software engineers, product managers, and business stakeholdersCollaborate with … experience working as a technical contributor, whether as a data scientist or machine learning engineer, in a fast-paced environmentExperience working alongside product and engineering teams to deliver measurable value to the customer with predictive solutionsFamiliarity and comfort working in a large scale environments with unstructured or semi-structured 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 »

trading in a production environment Contribute to the analysis framework for scalable research Requirements:- MS or PhD in mathematics, statistics, machine learning, computer science, engineering, quantitative finance, or economics 3+ years of work experience in systematic alpha research in cash equities, with exposures to statistical arbitrage or alternative data … research Fluency in data science practices, e.g., feature engineering. Experience with machine learning is a plus Experience with signal blending and portfolio construction Demonstrated proficiency in Python Highly motivated, willing to take ownership of his/her work Collaborative mindset with strong independent research abilities Apply:- Please send a more »