16 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 »

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 »

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 … involving data analytics, machine learning models and AI principles and application in implementation and practical delivery. · A third level qualification in Computer Science, Software Engineering, Data Science or other related discipline. · Experienced in Python development and tooling including Pandas, Scikit-learn or equivalent. · Experience with data exploration and visualisation. 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 »

over the last few years and completed our Series A funding, we are looking for a hardworking and driven go-getter to join our engineering team. Job description and key responsibilities Multus is seeking a Data Scientist passionate about leveraging advancements in data science to innovate in the field … of engineering biology. As a rapidly growing company, we aim to develop affordable and scalable cultivated meat using animal-free, food-grade growth media. As a crucial member of our engineering team, you will help steer our technical direction and utilize cutting-edge technologies including machine learning, robotics … ensuring timely delivery, budget adherence, and alignment with strategic objectives. Innovative Problem Solving: Employ advanced technologies and innovative methods to tackle complex problems in engineering biology. Collaborative Research and Development: Partner with multidisciplinary teams to blend computational tools with laboratory processes, enhancing our R&D efforts. Quality Assurance and 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 »

Actions Implementing the machine learning life cycle: building models in a structured manner following best practice in the collection and analysis of modelling data, feature engineering, model fitting, selection, evaluation, deployment, and monitoring. Delivering high impact projects: working on projects that have well defined business benefits. Engaging stakeholders 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 »

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 »

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 »