solution offerings. Provide expertise and guidance on AI best practices, contributing to the organization's AI strategy and innovation efforts. Conduct data analysis and featureengineering 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, featureengineering, and model evaluation. Experience with deep learning frameworks like TensorFlow or PyTorch is desirable. Proficiency in handling large datasets, experience with Azure more »
such as natural language processing, computer vision, doc intelligence etc Experience in working with large and complex datasets, data pipelines, data pre-processing, and featureengineering Experience in designing and architecting solutions Experience in cloud computing, distributed systems, microservices, and APIs Experience around productionising AI/ML models … Prompt engineering Lang Chain/Semantic Kernel Frameworks Experience exploring, analysing, and visualising data Excellent communication, collaboration, and problem-solving skills Additional Information Location: This role can be delivered in a hybrid nature from one of these offices Belfast, Birmingham, Manchester, Edinburgh, London or Newcastle upon Tyne. At Version more »
such as natural language processing, computer vision, doc intelligence etc Experience in working with large and complex datasets, data pipelines, data pre-processing, and featureengineering Experience in designing and architecting solutions Experience in cloud computing, distributed systems, microservices, and APIs Experience around productionising AI/ML models … Prompt engineering Lang Chain/Semantic Kernel Frameworks Experience exploring, analysing, and visualising data Excellent communication, collaboration, and problem-solving skills Additional Information Location: This role can be delivered in a hybrid nature from one of these offices Belfast, Birmingham, Manchester, Edinburgh, London or Newcastle upon Tyne. At Version more »
such as natural language processing, computer vision, doc intelligence etc Experience in working with large and complex datasets, data pipelines, data pre-processing, and featureengineering Experience in designing and architecting solutions Experience in cloud computing, distributed systems, microservices, and APIs Experience around productionising AI/ML models … Prompt engineering Lang Chain/Semantic Kernel Frameworks Experience exploring, analysing, and visualising data Excellent communication, collaboration, and problem-solving skills Additional Information Location: This role can be delivered in a hybrid nature from one of these offices Belfast, Birmingham, Manchester, Edinburgh, London or Newcastle upon Tyne. At Version more »
such as natural language processing, computer vision, doc intelligence etc Experience in working with large and complex datasets, data pipelines, data pre-processing, and featureengineering Experience in designing and architecting solutions Experience in cloud computing, distributed systems, microservices, and APIs Experience around productionising AI/ML models … Prompt engineering Lang Chain/Semantic Kernel Frameworks Experience exploring, analysing, and visualising data Excellent communication, collaboration, and problem-solving skills Additional Information Location: This role can be delivered in a hybrid nature from one of these offices Belfast, Birmingham, Manchester, Edinburgh, London or Newcastle upon Tyne. At Version more »
such as natural language processing, computer vision, doc intelligence etc Experience in working with large and complex datasets, data pipelines, data pre-processing, and featureengineering Experience in designing and architecting solutions Experience in cloud computing, distributed systems, microservices, and APIs Experience around productionising AI/ML models … Prompt engineering Lang Chain/Semantic Kernel Frameworks Experience exploring, analysing, and visualising data Excellent communication, collaboration, and problem-solving skills Additional Information Location: This role can be delivered in a hybrid nature from one of these offices Belfast, Birmingham, Manchester, Edinburgh, London or Newcastle upon Tyne. At Version more »
probabilistic cyber risk model for the (re)insurance and financial services markets. Define and implement a globally consistent best practice process for data validation, feature selection, and modeling of catastrophe exposures. Lead best practices to design and extend an agile and flexible modeling framework. Developing and implementing methodologies to … analytics point of contact and collaborate directly with clients and cli facing teams Collaborating with other leaders across the Analytics organization, including Product Management, Engineering, and Client Engagement Qualifications: MS degree in Applied Mathematics, Statistics, Engineering or similar quantitative disciplines Mastery of deep learning non/parametric models … and interpretability 5+ years of experience in catastrophe risk Modeling, Applied Statistics, Probability theory, Monte Carlo methods for uncertainty quantification and propagation, GLMs applications, featureengineering, data visualization, and hypotheses testing True passion for leading, inspiring, mentoring, and attracting world-class colleagues Experience working with different types of more »
neural networks to support core clients Part of a team of 9 reporting to the Head of Data Science - working closely with a wider Engineering function Focusing on end-to-end data pipelines, for training, evaluating and deploying ML models Working closely with Data Scientists on client partners, advising … pipelines and deploying ML models Preference for experience in retail/marketing Tech across: Python, AWS, Databricks, PySpark, AB Testing, MLFlow, APIs Experience in featureengineering and third-party data Apply below more »
networks to support core clients Part of a team of 9 reporting to the Head of Data Science - working closely with a wider Data Engineering function Focusing on end-to-end data pipelines, for training, evaluating and deploying ML models Working closely with Data Scientists on client partners, advising … ML models Preference for experience in retail/marketing but not required Tech across: Python, AWS, Databricks, PySpark, AB Testing, MLFlow, APIs Experience in featureengineering and third-party data Apply below 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, featureengineering, model fitting, selection, evaluation, deployment, and monitoring. Working independently and providing support and guidance to others. Receiving guidance from managers only in 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 featureengineering techniques Experience with machine learning frameworks and libraries Ability to work independently and collaboratively in a remote setting A good working knowledge more »
such as Python, R, or TensorFlow. Experience with AI frameworks and libraries, such as scikit-learn, spaCy, or PyTorch. Solid understanding of data preprocessing, featureengineering, and model evaluation techniques in AI projects. Proficiency in integrating AI models with web applications using APIs or microservices architecture. Ability to more »
projects on time and within scope. fundamentals in programming, statistics, mathematics, and ML algorithms (neural networks, tree-based methods, optimizers, super/unsupervised learning, featureengineering, 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 »
