We're Hiring: Lead Expert - NLP & Machine Learning for Investment Metrics 📍 Location: Nice (France) or London (UK) 🏢 Company: Scientific Beta 🔬 About Us A subsidiary of SGX Group, Scientific Beta is a leading provider of enhanced systematic equity strategies grounded in rigorous research. Its evidence-based indices integrating sustainability and financial goals enable global investors to make well-informed portfolio decisions … a key role in developing new index methodologies. 🧠 About the Role Scientific Beta is seeking a highly experienced and innovative Lead Expert in NaturalLanguageProcessing (NLP) and Machine Learning (ML) to spearhead the development of next-generation sustainability and financial metrics. This is a unique opportunity to leverage cutting-edge language models and insights at … instrumental in driving the research, development, validation and product implementation of novel metrics by extracting valuable information from textual data. 📌 Key Responsibilities Lead the conceptualization, design, and implementation of NLP and ML models for extracting insights related to sustainability and financial performance from diverse textual sources. Develop and apply state-of-the-art language models to extract relevant information More ❯
We're Hiring: Lead Expert - NLP & Machine Learning for Investment Metrics 📍 Location: Nice (France) or London (UK) 🏢 Company: Scientific Beta 🔬 About Us A subsidiary of SGX Group, Scientific Beta is a leading provider of enhanced systematic equity strategies grounded in rigorous research. Its evidence-based indices integrating sustainability and financial goals enable global investors to make well-informed portfolio decisions … a key role in developing new index methodologies. 🧠 About the Role Scientific Beta is seeking a highly experienced and innovative Lead Expert in NaturalLanguageProcessing (NLP) and Machine Learning (ML) to spearhead the development of next-generation sustainability and financial metrics. This is a unique opportunity to leverage cutting-edge language models and insights at … instrumental in driving the research, development, validation and product implementation of novel metrics by extracting valuable information from textual data. 📌 Key Responsibilities Lead the conceptualization, design, and implementation of NLP and ML models for extracting insights related to sustainability and financial performance from diverse textual sources. Develop and apply state-of-the-art language models to extract relevant information More ❯
We're Hiring: Lead Expert - NLP & Machine Learning for Investment Metrics 📍 Location: Nice (France) or London (UK) 🏢 Company: Scientific Beta 🔬 About Us A subsidiary of SGX Group, Scientific Beta is a leading provider of enhanced systematic equity strategies grounded in rigorous research. Its evidence-based indices integrating sustainability and financial goals enable global investors to make well-informed portfolio decisions … a key role in developing new index methodologies. 🧠 About the Role Scientific Beta is seeking a highly experienced and innovative Lead Expert in NaturalLanguageProcessing (NLP) and Machine Learning (ML) to spearhead the development of next-generation sustainability and financial metrics. This is a unique opportunity to leverage cutting-edge language models and insights at … instrumental in driving the research, development, validation and product implementation of novel metrics by extracting valuable information from textual data. 📌 Key Responsibilities Lead the conceptualization, design, and implementation of NLP and ML models for extracting insights related to sustainability and financial performance from diverse textual sources. Develop and apply state-of-the-art language models to extract relevant information More ❯
london (city of london), south east england, united kingdom
Scientific Beta
We're Hiring: Lead Expert - NLP & Machine Learning for Investment Metrics 📍 Location: Nice (France) or London (UK) 🏢 Company: Scientific Beta 🔬 About Us A subsidiary of SGX Group, Scientific Beta is a leading provider of enhanced systematic equity strategies grounded in rigorous research. Its evidence-based indices integrating sustainability and financial goals enable global investors to make well-informed portfolio decisions … a key role in developing new index methodologies. 🧠 About the Role Scientific Beta is seeking a highly experienced and innovative Lead Expert in NaturalLanguageProcessing (NLP) and Machine Learning (ML) to spearhead the development of next-generation sustainability and financial metrics. This is a unique opportunity to leverage cutting-edge language models and insights at … instrumental in driving the research, development, validation and product implementation of novel metrics by extracting valuable information from textual data. 📌 Key Responsibilities Lead the conceptualization, design, and implementation of NLP and ML models for extracting insights related to sustainability and financial performance from diverse textual sources. Develop and apply state-of-the-art language models to extract relevant information More ❯
We're Hiring: Lead Expert - NLP & Machine Learning for Investment Metrics 📍 Location: Nice (France) or London (UK) 🏢 Company: Scientific Beta 🔬 About Us A subsidiary of SGX Group, Scientific Beta is a leading provider of enhanced systematic equity strategies grounded in rigorous research. Its evidence-based indices integrating sustainability and financial goals enable global investors to make well-informed portfolio decisions … a key role in developing new index methodologies. 🧠 About the Role Scientific Beta is seeking a highly experienced and innovative Lead Expert in NaturalLanguageProcessing (NLP) and Machine Learning (ML) to spearhead the development of next-generation sustainability and financial metrics. This is a unique opportunity to leverage cutting-edge language models and insights at … instrumental in driving the research, development, validation and product implementation of novel metrics by extracting valuable information from textual data. 📌 Key Responsibilities Lead the conceptualization, design, and implementation of NLP and ML models for extracting insights related to sustainability and financial performance from diverse textual sources. Develop and apply state-of-the-art language models to extract relevant information More ❯
s commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.As an Applied AI ML Director - NLP/LLM and Graphs within the Chief Data & Analytics Office, Machine Learning Centre of Excellence, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including … our knowledge sharing communityDevelop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as naturallanguageprocessing (NLP), speech recognition and analytics, time-series predictions or recommendation systemsCollaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into … discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science Or an MS with significant years of industry or research experience in the field.Solid background in NLP, LLM and graph analytics and hands-on experience and solid understanding of machine learning and deep learning methodsExtensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy More ❯
Senior NLP Research Engineer - Artificial Intelligence Location New York Business Area Engineering and CTO Ref # Description & Requirements Bloomberg's Engineering AI department has 350+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision … of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most. We are looking for Senior NLP Engineers with a strong expertise and passion for NaturalLanguageProcessing research and applications to join our team. NaturalLanguageProcessing (NLP) methods are … answering or sentence representations. You'll have the opportunity to: Collaborate with colleagues on production systems and write, test, and maintain production quality code Design, train, experiment, and evaluate NLP models, algorithms and solutions Demonstrate technical leadership by owning cross-team projects Stay current with the latest research in NLP and incorporate new findings into our models and methodologies Represent More ❯
Pensacola, Florida, United States Hybrid / WFH Options
INSPYR Solutions
Agile product owner to manage a product backlog and deliver self-service and/or personalized member experiences in the voice channel, with a focus on self-service via NaturalLanguageProcessing and conversational design. Ideal candidates have experience leveraging NaturalLanguageProcessing/chatbot solutions in the voice channel to drive efficiencies and … Qualifications: 5+ years of experience as a Product Owner in Agile environments, preferably within financial services industry Demonstrated understanding of IVR systems and chatbot/AI technologies, to include naturallanguageprocessing and conversational designs Hands-on experience with Microsoft Azure Bot Framework Proficiency in managing backlogs and kanban boards using Azure DevOps. Excellent communication and stakeholder More ❯
segmentation consultancy. We use data, insights, and proprietary technology to create customer-centric strategies that drive real business impact. We have a long history of innovation in machine learning, naturallanguageprocessing, and generative AI. About STRAT7 We are part of STRAT7, a global strategic insight and customer analytics group. STRAT7 specializes in customer-centric growth, helping … volume of work, while AI and analysis of unstructured data are our fastest-growing areas. We seek a Senior Data Scientist skilled in cluster analysis, preferably with knowledge of naturallanguageprocessing, to consult on our specialized projects involving advising, designing, conducting, and leading survey analytics projects. This role offers an exciting opportunity for someone eager to … etc. Beneficial Skills Experience with conjoint analysis and other pricing methods. Knowledge of GDPR and data compliance. Experience working with third-party data vendors and APIs. Some familiarity with NLP libraries. Other Information At STRAT7 Bonamy Finch, we foster a culture of excellence, collaboration, and mutual trust. We offer flexible, hybrid working options, a comprehensive benefits package, and a supportive More ❯
develop, and implement advanced analytics techniques and applications using data-oriented programming languages and visualization tools. Responsibilities include applying data mining, data modeling, naturallanguageprocessing (NLP), and machine learning methods to analyze large structured and unstructured datasets. The Senior Data Scientist will interpret and communicate findings through visualizations, reports, and dynamic dashboards, enabling data driven decision … analytics techniques and applications. Use data-oriented programming languages (e.g., Python, R, SQL) to process and analyze datasets. Apply data mining, data modeling, naturallanguageprocessing (NLP), and machine learning methods to structured and unstructured data. Transform raw data into meaningful, actionable insights. Design and build data visualizations, dashboards, and reports for technical and non-technical stakeholders. More ❯
years of experience. Experience with ML fields, e.g., naturallanguageprocessing, computer vision, statistical learning theory. Hands-on experience with NaturalLanguageProcessing (NLP), Large Language Models, text embedding, semantic query, use of generative AI for text, and retrieval augmented generation (RAG). Familiarity with data preprocessing, feature engineering, and model evaluation techniques More ❯
Sensory and Machine Learning Builder Services Amazon is looking for a passionate, talented, and inventive Scientist with a strong machine learning background to help build industry-leading speech and language technology. Our mission is to push the envelope in Automatic Speech Recognition (ASR), NaturalLanguage Understanding (NLU), and Audio Signal Processing, in order to provide the … best-possible experience for our customers. As a Speech and Language Scientist, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art in spoken language understanding. Your work will directly impact our customers in the form of products and services that make use of speech and language technology. You will leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate advances in spoken language understanding. We are hiring in the area of speech recognition (ASR). BASIC QUALIFICATIONS MS or PhD in Electrical Engineering, Computer Sciences, or Mathematics with specialization in speech recognition, naturallanguageprocessing, or machine learning More ❯
tools, such as TensorFlow, PyTorch, or similar technologies • Artificial Intelligence (AI) and Machine Learning (ML) technologies, including various algorithms, neural networks, deep learning, naturallanguageprocessing (NLP) etc • Legal and regulatory requirements applicable to the financial services industry, such as GDPR, Data Sharing, CCPA, or specific financial regulations • Relationship Management • Stakeholder Management Behavioural Skills: • Analytical • Business partnering … Customer Orientated • Outcome Orientated • Problem Solver • Team management Cognitive Skills: • Divided attention • Auditory processing • Critical thinking • Collaboration This role is based in London on a hybrid basis. Being open to different points of view is important for our business and the communities we serve. At HSBC, we're dedicated to creating diverse and inclusive workplaces - no matter their gender … Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Industry , Machine Learning , NaturalLanguageProcessing , Neural Networks , NLP , United Kingdom More ❯
NLP/LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence The Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including naturallanguageprocessing, speech analytics, time series, reinforcement learning and recommendation systems. The candidate must excel in working in a … conferences, experimentation and participating in our knowledge sharing community • Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as NLP, speech recognition and analytics, time-series predictions or recommendation systems • Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions … wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business Required qualifications, capabilities, and skills • Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods • PhD in a quantitative discipline, e.g. Computer Science More ❯
Position Summary • Experience in programming languages such as Python, Java, JavaScript (Node.js), and/or C++. • Experience in Oracle/Data Bricks/Elastic/ELK. • Proficiency in data processing and analysis using tools such as SQL, R, and/or Pandas. • Experience in working with large datasets and data preprocessing techniques. • Proficiency in unit testing and integration testing … and machine learning solutions. • Experience with machine learning algorithms and deep learning frameworks such as TensorFlow, PyTorch, Keras, or Scikit-learn. • Proficiency with NaturalLanguageProcessing (NLP) tools like SpaCy, NLTK, or Hugging Face's Transformers for text-based document processing. • Knowledge of NLP concepts like intent recognition, entity extraction, and context management. • Strong understanding of neural … networks, computer vision, naturallanguageprocessing, and/or reinforcement learning. • Experience with OCR (Optical Character Recognition) Tesseract, Google Vision API, or AWS Textract. • Proficiency in Dialogflow ES or CX, Google Assistant SDK, or other Google Cloud chatbot development tools. • Experience in building, managing, and optimizing chatbot applications for different platforms (web, mobile, voice assistants). • Experience More ❯
the mission "delight customers through contextual and personalized proactive experiences that keep customers informed, engaged, and productive without cognitive burden". We are developing an advanced system using Large Language Model (LLM) technologies to deliver engaging, intuitive, and adaptive content recommendations across all Amazon surfaces. We aim to facilitate seamless reasoning and customer experiences … surpassing the capabilities of previous machine learning models. We are looking for a passionate, talented, and resourceful Applied Scientist in the field of NaturalLanguageProcessing (NLP), Recommender Systems and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware speech assistant. A successful candidate will have strong machine … processing, recommendation system, information retrieval - 2+ years experience in building machine learning or deep learning models for large scale customer facing product or features. - Publications at peer-reviewed NLP/ML conferences (e.g. ACL, EMNLP, NAACL, NeurIPS, ICLR, ICML, AAAI) - Solid software development experience - Good written and verbal communication skills Amazon is an equal opportunity employer and does not More ❯
Technical Product Manager, NLP Services - CTO Office Location New York Business Area Engineering and CTO Ref # Description & Requirements Bloomberg's CTO Office is the future-looking technical and product arm of Bloomberg L.P. We envision, design, and prototype the next generation infrastructure, hardware, and applications for the Bloomberg Terminal. Our projects include machine learning-powered products, cloud computing infrastructure … are passionate about what we do. What's In It For You Bloomberg is looking for a Technical Product Manager to shape and execute the vision, and roadmap for NLP services, which include semantic parsing, entity recognition and linking, AI guardrails, and other NLP models and services tuned and optimized for financial applications. As a Technical Product Manager, you will … highly motivated product managers that work on a range of adjacent projects in AI. We'll trust you to Develop a long-term vision and roadmap for Bloomberg's NLP services, which include semantic parsing, entity recognition and linking, AI guardrails, and other NLP models and services powered by state of the art AI and tuned and optimized for financial More ❯
PyTorch, Keras, Tensorflow Demonstrated experience with data visualization tools (i.e. Tableau, Pandas, D3.js, ggplot, etc) Demonstrated experience with NoSQL data stores such as MongoDB or DynamoDB Demonstrated experience using NaturalLanguageProcessing tools such as spaCy, NLTK, Stanford CoreNLP, or Gensim NaturalLanguageProcessing Demonstrated experience in Agile software development teams using scrum techniques More ❯
Service Desk, etc.) Experience with ELK stack, OpenSearch, SonarQube, Cypress, PowerShell, C#, and Databricks Experience with Docker, SQL, Angular, Spring Boot, Nifi, AWS, python, scala, shell scripting, and XML processing Experience in AWS solution architecture Maintaining the Apache Hadoop Ecosystem, especially utilizing HBase, MapReduce, and Spark. ETL processes utilizing Linux shell scripting, Perl, Python, and Apache Airflow. AWS services … the introduction of new custom capabilities, modification of existing code, process improvement recommendation, and automation of operations and maintenance tasks Expertise in architect and utilization of large-scale data processing, computationally intensive statistical modeling, and advanced analytics Databricks and Lakehouse architectures AWS OpenSearch Experience with AWS, Splunk, Databricks, and other Oracle/SQL based platforms. Experience with python, Microsoft … to identify and link records across different data sources that represent the same real-world entity (e.g., person, organization, product). Experience with NaturalLanguageProcessing (NLP) models for tasks like text classification, sentiment analysis, and entity recognition. Experience with NaturalLanguage Generation (NLG) models for tasks like text summarization. Databricks, Spark, PyTorch, Tensorflow, Python More ❯
academic, research, and administrative units to drive innovation and institutional effectiveness. Artificial Intelligence and Machine Learning Expertise - Demonstrated ability to design and apply AI/ML solutions, such as naturallanguageprocessing and predictive analytics, to improve academic, research, and operational outcomes. Strategic Leadership in Data and Digital Transformation - Proven skill in developing and executing enterprise-level … responsible for overseeing the development, implementation, and governance of advanced analytics platforms, AI tools, and research computing environments. The AVP ensures that systems supporting machine learning, predictive modeling, and naturallanguageprocessing are scalable, secure, and accessible to stakeholders across academic, administrative, and research domains. The role requires close coordination with IT, the Office of Research, and More ❯
search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, naturallanguageprocessing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical … search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, naturallanguageprocessing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical More ❯
Vienna, Virginia, United States Hybrid / WFH Options
ALTA IT Services
validation, and monitoring. Excellent understanding of machine learning, statistical modeling, and algorithms as well as their benefits and drawbacks. Experience with cloud computing infrastructure. Experience with Computer Vision, image processing and video analytics. Experience with NaturalLanguageProcessing/NaturalLanguage Understanding. Experience with deep learning framework and infrastructure like TensorFlow or PyTorch. Experience … and/or willing to learn advanced techniques in Agentic A.I. framework and Large Language Models (LLMs). Experience and/or willing to research, develop, implement, and fine-tuning LLMs in terms of specific domains knowledge and user cases. Ability to work individually, and as part of a team. Advanced verbal, written, interpersonal, and presentation skills to communicate More ❯
US Citizen, GC Holders or Authorized to Work in the U.S. AI ML Engineer, CCaaS As an experienced engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using machine learning (ML) techniques makes you an integral part of delivering a customer-focused solution. Your technical … frameworks. Experience in AI, Python programming, and deep learning frameworks, including PyTorch, MXNet, TensorFlow, or Keras, and big data technologies Experience with developing NaturalLanguageProcessing (NLP), Large Language Model (LLM), and Retrieval-Augmented Generation (RAG) enabled solutions Experience in working with API services for serving NLP and analytical models, including Flask or Fast API Experience … of artificial intelligence principles and practices, including deploying ML models into production Ability to evaluate algorithm performance Security, Cloud, Software Development, AI and ML, Computer Vision, Deep Learning, or NLP Certification Additional Information: Well-developed software engineering skills, including use of proper development, QA, and production environments, object-oriented programming, version control, and knowledge of multiple programming languages. Experience creating More ❯
expertise and passion for Large Language Modeling research and applications to join our team. The advent of large language models (LLMs) presents new opportunities for expanding our NLP capabilities with new products. This would allow our clients to ask complex questions in naturallanguage and receive insights extracted across our vast number of Bloomberg APIs or … applications Write, test, and maintain production quality code Train, tune, evaluate and continuously improve LLMs using large amounts of high-quality data to develop state-of-the-art financial NLP models Demonstrate technical leadership by owning cross-team projects Stay current with the latest research in AI, NLP and LLMs and incorporate new findings into our models and methodologies Represent … ll need to have: Practical experience with NaturalLanguageProcessing problems, and a familiarity with Machine Learning, Deep Learning and Statistical Modeling techniques Ph.D. in ML, NLP or a relevant field or MSc in CS, ML, Math, Statistics, Engineering, or related fields and 2+ years of relevant work experience Experience with Large Language Model training and More ❯
Anywhere, and Power Automate. Ensuring all solutions are rigorously tested for functionality, technical standards, and accessibility (Section 508 compliance). Apply skills with NaturalLanguageProcessing (NLP), Large Language Models (LLMs) like Llama 3, Mistral, or Gemma 2, and vector databases (ChromaDB, Pinecone, or Qdrant) to develop cutting-edge solutions. Utilize Retrieval-Augmented Generation (RAG) frameworks … in information security and the ability to implement secure AI systems. Experience in process automation and leveraging AI/ML technologies to solve business challenges. Experience Deep Learning and NLP, including a strong understanding of LLMs and RAG frameworks. Hands-on experience with vector databases and cloud/container orchestration tools like Docker and Kubernetes. Experience with regulatory compliance standards More ❯
