NLP PEOPLE
Apply now Data Science & AI Specialist Overview We are looking for a Data Science & AI Specialist to obtain value from the full range of all BT data sets using advanced DS and AI models. In this role, you will be responsible for designing, building, deploying, and operationalizing artificial intelligence and machine learning models within the AWS ecosystem. This role combines strong software engineering practices with data science knowledge, leveraging SageMaker's full suite of tools to manage the entire ML lifecycle. Responsibilities Leads the extraction and analysis of Mobile data through the application of Machine learning & AI techniques to generate insight from data to support decision-making across the business or to embed in new products and services. Drives model development, including data exploration, training data, feature extraction, validation and scoring. Develops insightful visualisations to make sophisticated analyses accessible to a broad audience. Drives initiatives related to fairness, ethics, interpretability, safety, robustness, and privacy in AI/ML. Leverages Amazon SageMaker's capabilities, such as SageMaker Studio, Pipelines and Endpoints, to streamline building, training, evaluating and deploying models at scale. Implements and maintains robust Machine Learning Operations (MLOps) practices, including CI/CD pipelines, model versioning, monitoring for drift and performance, and automated retraining processes. Collaborates on data acquisition, preprocessing, feature engineering and data analysis to prepare large datasets for model training. Leads identification of opportunities and implementation of SageMaker machine learning techniques to derive business insights. Contributes towards development of machine learning guidelines, policies and architecture that supports scalable machine learning pipelines. Drives new data set sourcing, transformation and preparation of new data sets from across the BT group's platforms to build foundational data models for data science, analytics and machine learning. Skills 2-3 years+ of proven success at applying Data Science approaches or developing and shaping AI algorithms and models. (Mandatory) Experience with AWS cloud services for scalable AI & data solutions. (Mandatory) Experience in programming languages such as Python/Java and strong knowledge of AI/ML libraries. (Mandatory) Solid understanding of software architecture, data modeling, and various data structures. Knowledge of data governance practices to ensure data quality, security, and compliance. Demonstrates a comprehensive understanding of ethical considerations related to artificial intelligence and ability to develop and implement fair and responsible AI solutions. Research skills to stay up-to-date with latest AI trends and continue to learn new techniques. Excellent communication - the ability to listen and to share ideas clearly to a range of audiences. Experience in leading, managing and/or coaching others - particularly in technical roles, whether as a line manager or not. Inclusive Hiring Statement DON'T MEET EVERY SINGLE REQUIREMENT? Studies have shown that women and people who are disabled, LGBTQ+, neurodiverse or from ethnic minority backgrounds are less likely to apply for jobs unless they meet every single qualification and criteria. We're committed to building a diverse, inclusive and authentic workplace where everyone can be their best, so if you're excited about this role but your past experience doesn't align perfectly with every requirement on the Job Description, please apply anyway - you may just be the right candidate for this or other roles in our wider team. Benefits Annual On Target Bonus 10% (personal and company multipliers) BT Pension scheme; minimum 5% employee contribution, BT contribution 10% Life Assurance Direct share scheme Exclusive colleague discounts on our latest and greatest BT broadband packages 50% off EE mobile pay monthly or SIM only plans and 50% discount for friends and family on EE SIM only plans My Discounts gives colleagues access to unbeatable savings on everyday purchases at hundreds of retailers Discounted EE TV including TNT Sport and the NOW Entertainment membership Great support for working parents including pay whilst on maternity, adoptive, and paternity leave Option to join the Healthcare Cash Plan or other benefits such as dental insurance, gym memberships etc. 25 days annual leave (not including bank holidays), increasing with service with buy holiday option Volunteering days so you can give back to your local community Brand new electric vehicle salary sacrifice arrangement, known as 'My EV' Location One Braham (4140), London, United Kingdom Contact Recruiter: Trevor Newman
Apply now Data Science & AI Specialist Overview We are looking for a Data Science & AI Specialist to obtain value from the full range of all BT data sets using advanced DS and AI models. In this role, you will be responsible for designing, building, deploying, and operationalizing artificial intelligence and machine learning models within the AWS ecosystem. This role combines strong software engineering practices with data science knowledge, leveraging SageMaker's full suite of tools to manage the entire ML lifecycle. Responsibilities Leads the extraction and analysis of Mobile data through the application of Machine learning & AI techniques to generate insight from data to support decision-making across the business or to embed in new products and services. Drives model development, including data exploration, training data, feature extraction, validation and scoring. Develops insightful visualisations to make sophisticated analyses accessible to a broad audience. Drives initiatives related to fairness, ethics, interpretability, safety, robustness, and privacy in AI/ML. Leverages Amazon SageMaker's capabilities, such as SageMaker Studio, Pipelines and Endpoints, to streamline building, training, evaluating and deploying models at scale. Implements and maintains robust Machine Learning Operations (MLOps) practices, including CI/CD pipelines, model versioning, monitoring for drift and performance, and automated retraining processes. Collaborates on data acquisition, preprocessing, feature engineering and data analysis to prepare large datasets for model training. Leads identification of opportunities and implementation of SageMaker machine learning techniques to derive business insights. Contributes towards development of machine learning guidelines, policies and architecture that supports scalable machine learning pipelines. Drives new data set sourcing, transformation and preparation of new data sets from across the BT group's platforms to build foundational data models for data science, analytics and machine learning. Skills 2-3 years+ of proven success at applying Data Science approaches or developing and shaping AI algorithms and models. (Mandatory) Experience with AWS cloud services for scalable AI & data solutions. (Mandatory) Experience in programming languages such as Python/Java and strong knowledge of AI/ML libraries. (Mandatory) Solid understanding of software architecture, data modeling, and various data structures. Knowledge of data governance practices to ensure data quality, security, and compliance. Demonstrates a comprehensive understanding of ethical considerations related to artificial intelligence and ability to develop and implement fair and responsible AI solutions. Research skills to stay up-to-date with latest AI trends and continue to learn new techniques. Excellent communication - the ability to listen and to share ideas clearly to a range of audiences. Experience in leading, managing and/or coaching others - particularly in technical roles, whether as a line manager or not. Inclusive Hiring Statement DON'T MEET EVERY SINGLE REQUIREMENT? Studies have shown that women and people who are disabled, LGBTQ+, neurodiverse or from ethnic minority backgrounds are less likely to apply for jobs unless they meet every single qualification and criteria. We're committed to building a diverse, inclusive and authentic workplace where everyone can be their best, so if you're excited about this role but your past experience doesn't align perfectly with every requirement on the Job Description, please apply anyway - you may just be the right candidate for this or other roles in our wider team. Benefits Annual On Target Bonus 10% (personal and company multipliers) BT Pension scheme; minimum 5% employee contribution, BT contribution 10% Life Assurance Direct share scheme Exclusive colleague discounts on our latest and greatest BT broadband packages 50% off EE mobile pay monthly or SIM only plans and 50% discount for friends and family on EE SIM only plans My Discounts gives colleagues access to unbeatable savings on everyday purchases at hundreds of retailers Discounted EE TV including TNT Sport and the NOW Entertainment membership Great support for working parents including pay whilst on maternity, adoptive, and paternity leave Option to join the Healthcare Cash Plan or other benefits such as dental insurance, gym memberships etc. 25 days annual leave (not including bank holidays), increasing with service with buy holiday option Volunteering days so you can give back to your local community Brand new electric vehicle salary sacrifice arrangement, known as 'My EV' Location One Braham (4140), London, United Kingdom Contact Recruiter: Trevor Newman
NLP PEOPLE
Edinburgh, Midlothian
Overview Our client is at the forefront of AI innovation and is seeking a world-class Principal AI Research Scientist specializing in Natural Language Processing (NLP) to join their dynamic, fully remote team. This position offers a unique opportunity to drive groundbreaking research and development in state-of-the-art NLP models and applications, impacting a global user base. The role requires a deep theoretical understanding and practical expertise in machine learning, deep learning, and advanced NLP techniques. You will be instrumental in shaping the future of how humans interact with technology through intelligent language understanding and generation. Responsibilities Lead the research and development of novel NLP algorithms and models, pushing the boundaries of artificial intelligence. Design and implement advanced deep learning architectures for tasks such as text generation, summarization, sentiment analysis, and machine translation. Conduct cutting-edge research in areas like transformer models, large language models (LLMs), and explainable AI (XAI) for NLP. Collaborate with a global team of researchers and engineers to translate research findings into practical applications and product features. Publish research findings in top-tier AI conferences and journals. Mentor junior researchers and contribute to the scientific growth of the team. Develop and maintain high-quality, production-ready code for AI models. Stay abreast of the latest advancements in NLP, machine learning, and deep learning. Contribute to the strategic direction of the company's AI research roadmap. Evaluate and benchmark new models and techniques against industry standards. Qualifications Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. 10+ years of experience in AI research, with a strong focus on Natural Language Processing. Proven track record of impactful research, evidenced by publications, patents, or significant contributions to open-source projects. Deep expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and NLP libraries (e.g., Hugging Face Transformers). Proficiency in programming languages such as Python. Experience with large-scale data processing and distributed computing. Strong analytical and problem-solving skills. Excellent communication and presentation skills, with the ability to articulate complex technical concepts clearly. Experience leading research projects and mentoring junior scientists is highly desirable. This is a fully remote position, offering flexibility and the opportunity to work from anywhere. Company WhatJobs Level of experience: Senior (5+ years of experience). Tags: Industry, Language Modeling, Language Understanding, Machine Translation, NLP, United Kingdom.
Overview Our client is at the forefront of AI innovation and is seeking a world-class Principal AI Research Scientist specializing in Natural Language Processing (NLP) to join their dynamic, fully remote team. This position offers a unique opportunity to drive groundbreaking research and development in state-of-the-art NLP models and applications, impacting a global user base. The role requires a deep theoretical understanding and practical expertise in machine learning, deep learning, and advanced NLP techniques. You will be instrumental in shaping the future of how humans interact with technology through intelligent language understanding and generation. Responsibilities Lead the research and development of novel NLP algorithms and models, pushing the boundaries of artificial intelligence. Design and implement advanced deep learning architectures for tasks such as text generation, summarization, sentiment analysis, and machine translation. Conduct cutting-edge research in areas like transformer models, large language models (LLMs), and explainable AI (XAI) for NLP. Collaborate with a global team of researchers and engineers to translate research findings into practical applications and product features. Publish research findings in top-tier AI conferences and journals. Mentor junior researchers and contribute to the scientific growth of the team. Develop and maintain high-quality, production-ready code for AI models. Stay abreast of the latest advancements in NLP, machine learning, and deep learning. Contribute to the strategic direction of the company's AI research roadmap. Evaluate and benchmark new models and techniques against industry standards. Qualifications Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. 10+ years of experience in AI research, with a strong focus on Natural Language Processing. Proven track record of impactful research, evidenced by publications, patents, or significant contributions to open-source projects. Deep expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and NLP libraries (e.g., Hugging Face Transformers). Proficiency in programming languages such as Python. Experience with large-scale data processing and distributed computing. Strong analytical and problem-solving skills. Excellent communication and presentation skills, with the ability to articulate complex technical concepts clearly. Experience leading research projects and mentoring junior scientists is highly desirable. This is a fully remote position, offering flexibility and the opportunity to work from anywhere. Company WhatJobs Level of experience: Senior (5+ years of experience). Tags: Industry, Language Modeling, Language Understanding, Machine Translation, NLP, United Kingdom.