19 Permanent 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 »

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 »

building corresponding automated models to continuously fine-tune our trading strategies. The successful candidate will have strong skills in machine learning, Python, SQL, data feature engineering, and Java. Key Responsibilities: 1. Analyse post-trade data to derive meaningful insights that can help refine our trading strategies. Use machine … maintain automated models for consistent and efficient trading strategy optimization. Implement and maintain SQL databases for data management and query optimization. 3. Apply data feature engineering techniques to improve model performance. 4. Use Python and Java programming languages for data analysis, model development, and system integration. 5. Continuously … other team members to ensure the successful implementation of optimized trading strategies. Required Skills and Qualifications: Degree in Computer Science, Data Science, Statistics, Financial Engineering, or a related field. Strong experience in analysing large datasets and using statistical techniques to derive insights. Proficiency in Python and Java programming languages. 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 »

ingestion and transformation processes. Troubleshoot and resolve data integration issues. Ensure data quality and integrity. Required Skills: Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience). Proven experience with Snowflake. Feature Engineering Strong SQL and data modelling skills. Knowledge … of the Data Engineering and ML capabilities within either Azure or AWS Familiarity with DataOps concepts and data mining Experience with ETL processes and data integration. Experience with Python Familiarity with cloud data warehousing concepts. Strong problem-solving and communication skills Proficiency in scripting for automating deployment and maintenance 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 »

it is rewarding. Every tick of the clock, our content reaches millions of people globally, which is made possible by our top-notch Software Engineering team. They've been instrumental in pioneering innovative products and unique features that have firmly positioned us at the forefront of our industry. We … don't merely adapt to an ever-changing world - we set the pace. We are growing our engineering hub of excellence and looking for Mid-level and Senior Software Engineers with demonstrable backend experience to join our teams in London, Newcastle and Salford. We are looking for a range … you the right candidate? We are looking for software engineers who are passionate about code, curious and eager to learn in a team of engineering excellence. If you loving writing top quality code but don't want to stop there because you're also looking for ways to optimise more »

reliability of our AI-driven applications. Key Responsibilities: Design, implement, and optimize ML workflows and pipelines on Google Cloud Platform (GCP), including data ingestion, feature engineering, model training, evaluation, and deployment. Collaborate with data scientists, machine learning engineers, and software developers to streamline ML model development and deployment … infrastructure. Implement version control, testing, and CI/CD pipelines for ML models and code. Requirements: Bachelor's degree or higher in Computer Science, Engineering, or related field. Proven experience as an ML Ops Engineer or similar role, with hands-on experience deploying and managing ML workflows in cloud 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. Working independently and providing support and guidance to others. Receiving guidance from managers only in more »

Geometric (PyG). Proven track record of implementing GNNs for tasks such as link prediction, node classification, and graph generation. Experience with data prepossessing, feature engineering, and understanding of the unique Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Please apply 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 »