We're Hiring: Lead Expert - NLP & Machine Learning for Investment Metrics π Location: Nice (France) or London (UK) π’ Company: Scientific Beta π¬ 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 β¦ a key role in developing new index methodologies. π§ 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 β¦ instrumental in driving the research, development, validation and product implementation of novel metrics by extracting valuable information from textual data. π 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 β―
We're Hiring: Lead Expert - NLP & Machine Learning for Investment Metrics π Location: Nice (France) or London (UK) π’ Company: Scientific Beta π¬ 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 β¦ a key role in developing new index methodologies. π§ 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 β¦ instrumental in driving the research, development, validation and product implementation of novel metrics by extracting valuable information from textual data. π 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 β―
We're Hiring: Lead Expert - NLP & Machine Learning for Investment Metrics π Location: Nice (France) or London (UK) π’ Company: Scientific Beta π¬ 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 β¦ a key role in developing new index methodologies. π§ 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 β¦ instrumental in driving the research, development, validation and product implementation of novel metrics by extracting valuable information from textual data. π 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 β―
We're Hiring: Lead Expert - NLP & Machine Learning for Investment Metrics π Location: Nice (France) or London (UK) π’ Company: Scientific Beta π¬ 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 β¦ a key role in developing new index methodologies. π§ 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 β¦ instrumental in driving the research, development, validation and product implementation of novel metrics by extracting valuable information from textual data. π 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 β―
london (city of london), south east england, united kingdom
Scientific Beta
We're Hiring: Lead Expert - NLP & Machine Learning for Investment Metrics π Location: Nice (France) or London (UK) π’ Company: Scientific Beta π¬ 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 β¦ a key role in developing new index methodologies. π§ 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 β¦ instrumental in driving the research, development, validation and product implementation of novel metrics by extracting valuable information from textual data. π 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 β―
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 β¦ 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 β¦ 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 β―
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 β¦ 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 β―
optimizing AI-powered customer service solutions Experience with AI/ML technologies in contact center applications, including NaturalLanguage Understanding (NLU), NaturalLanguageProcessing (NLP), prompt engineering, large language model implementation, chatbot development and optimization, and AI/ML model training and fine-tuning Serverless development experience including complex integrations with Amazon Lex, Lambda More β―
s committed to transforming returns management while contributing to a more sustainable future. Key job responsibilities -Design, develop, and evaluate highly innovative models for NaturalLanguage Programming (NLP), Large Language Model (LLM), or Large Computer Vision projects. -Use SQL to query and analyze the data. -Use Python, Jupyter notebook, and Pytorch to train/test/deploy β¦ modeling techniques to power our ML models BASIC QUALIFICATIONS - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning - Experience with popular deep learning frameworks such as MxNet and Tensor Flow. PREFERRED QUALIFICATIONS - Experience in building machine learning models β¦ for business application - Experience in building speech recognition, machine translation and naturallanguageprocessing systems (e.g., commercial speech products or government speech projects) - PhD in math/statistics/engineering or other equivalent quantitative discipline, or Master's degree - Experience in building Computer Vision (CV) systems. Our inclusive culture empowers Amazonians to deliver the best results for More β―
The Team The Capital IQ Solutions Data Science team supports the S&P Capital IQ Pro platform with innovative Data Science and Machine Learning solutions, utilizing the most advanced NLP Generative AI models. This role presents a unique opportunity for hands-on ML/NLP/Gen AI/LLM scientists and engineers to advance to the next step in β¦ their career journey and apply their technical expertise in NLP, deep learning, Gen AI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research in LLMs, Gen AI, and related areas. Responsibilities and Impact Design solutions utilizing naturallanguageprocessing (NLP) models, including chat assistants and retrieval-augmented generation systems. Develop Large β¦ Language Model (LLM) solutions that incorporate prompt engineering techniques, model fine-tuning, and alignment strategies. Evaluate NLP models using both human-supported and synthetic evaluation methods and metrics. Deploy NLP models while ensuring low latency, reliability, and scalability. Explore new methods for prompt engineering, model fine-tuning, optimization, document embeddings, and data chunking. Collaborate closely with product teams, business More β―
learning architectures. Practical experience with, or demonstrable capability for, applications of Generative AI, Large Language Models (LLMs), and related areas such as NaturalLanguageProcessing (NLP) or Computer Vision, relevant to business solutions. Solid understanding of foundational statistics and experimental design. Familiarity with or experience on cloud platforms Impact and Achievements: As a Principal Data Scientist More β―
learning architectures. Practical experience with, or demonstrable capability for, applications of Generative AI, Large Language Models (LLMs), and related areas such as NaturalLanguageProcessing (NLP) or Computer Vision, relevant to business solutions. Solid understanding of foundational statistics and experimental design. Familiarity with or experience on cloud platforms Impact and Achievements: As a Principal Data Scientist More β―
We specialize in streamlining data-intensive workflows, driving digital transformation, and delivering intelligent automation solutions for enterprises worldwide. Our TotalAgility platform is at the forefront of revolutionizing intelligent document processing, workflow automation, and process orchestration. About This Role We are seeking a highly skilled and innovative AI Solutions Architect to design and implement cutting-edge AI-driven solutions using β¦ Maintain a firm understanding of all primary Tungsten Automation solutions and offerings AI and ML Capabilities : Leverage AI and machine learning capabilities, including naturallanguageprocessing (NLP), computer vision, and LLMs, to optimize document processing, data extraction, and decision-making workflows Programming and Development : Apply relevant programming skills (e.g., Python, Java, or .NET) to support solution β¦ AI-driven automation, or a related field, with a focus on enterprise-scale implementations Deep AI expertise with technical understanding of AI/GAI technologies, including LLMs, machine learning, NLP, and computer vision, and their application in business automation Platform knowledge with strong technical knowledge of the TotalAgility platform or similar intelligent automation platforms Integration experience with expertise in using More β―
About you: You will be a skilled Conversational AI β Technical Trainer to create and deliver in-depth training programs on conversational AI and naturallanguageprocessing (NLP). The ideal candidate will have a hands-on technical training session covering conversational AI, suitable for those with some background and practical experience in the field, including building and β¦ Requirements: Modify training to suit specific industries, ensuring it aligns with best practices and regulatory standards. Create Training Programs and Materials: Develop modules and engaging resources on conversational AI, NLP, and chatbot design. Assess Training Impact and Learner Progress: Evaluate participant understanding and refine content based on feedback and performance. Stay Current with Industry Trends and Tools: Update training materials β¦ with the latest developments in AI, NLP, and machine learning. Qualifications: Bachelorβs or Masterβs in Computer Science, Linguistics, AI, or related fields. Experience working in AI/NLP with experience in conversational AI development. Proven experience delivering technical training on conversational AI to diverse audiences. Holding certification that relevant AI/ML certifications (e.g., Google Professional ML Engineer More β―
Staines-upon-Thames, Middlesex, England, United Kingdom Hybrid / WFH Options
MicroTECH Global Ltd
pushing the boundaries of artificial intelligence? Do you thrive on solving complex challenges and developing cutting-edge solutions. We are seeking a talented NaturalLanguageProcessing (NLP) Engineer to join a AI Research Team and contribute to ground-breaking innovations in AI. What Youβll Do: Conduct cutting-edge research to tackle real-world AI challenges. Develop β¦ the global research community Who You Are: A PhD holder in ML/AI, Computer Science/Engineering, or a related field. A strong foundation in Mathematics, Machine Learning, NLP, and Deep Learning. Hands-on experience in one or more of these areas: Generative AI, Parameter-efficient Fine-tuning, Model Compression, Foundation Models, Large Language Models (LLMs), Data/ More β―
pre-processing, feature engineering, and model evaluation Familiarity with cloud services (AWS, GCP, Azure) and their AI/ML offerings Knowledge of naturallanguageprocessing (NLP) and computer vision is a plus Experience 3+ years in AI, machine learning, or data science roles. Proven track record of deploying AI models into production environments. Experience with data More β―
including: Clustering techniques (e.g., k-medoids, hierarchical clustering) Predictive modelling (e.g. Classification and Regression Trees (CART), Linear Regression, Random Forest, Gradient Boosted Models) NaturalLanguageProcessing (NLP) with a focus on social listening and topic modelling Integration of generative AI and LLMs in qualitative and survey research processes Inferences about subpopulations (Small Area Estimation (SAE), Multilevel Regression β¦ with subject matter experts on policy but will be expected to quickly gain a basic understanding of new policy issues. You will combine advanced data science techniques (machine learning, NLP, data engineering) with robust quantitative research methods (survey analysis, causal inference, MRP) to produce insights that directly inform social policy. Leadership: You will be joining Britain's largest independent social β¦ Computer Science, Statistics, etc.) or demonstrated experience through professional development, other learning, or Bachelor's degree with additional equivalent experience. Experience with practical application of clustering, predictive modelling, and NLP techniques, with familiarity with at least one major machine learning library (eg. Scikit-learn, statsmodels, spaCy, mlr). Proficiency in Python; knowledge of R or SQL is a plus. Familiarity More β―
needs of an expanding customer base. Lead product roadmap initiatives that improve the accuracy, efficiency, and relevance customer screening. Collaborate with Technology teams to enhance automation, machine learning, and NLP (naturallanguageprocessing) and generative AI capabilities. Develop and maintain strong relationships with customers, regulators, and industry partners to anticipate compliance challenges and evolving risk concerns. Capture β¦ particularly in content accuracy, data integrity, and risk classification . Desirable Skills Knowledge of financial crime compliance, AML regulations, and KYC screening . Familiarity with AI-driven media monitoring, NLP, and automation technologies . Experience working with third-party data providers, content aggregators, or risk intelligence platforms . Proven track record to lead teams without formal authority. Experience in software More β―
Bristol, Avon, South West, United Kingdom Hybrid / WFH Options
Motability Operations
a story and provide the business with key insights on customer behaviour. Analyse customer research data to gain insights on customer behaviour using NaturalLanguageProcessing (NLP) techniques such as sentiment analysis and topic modelling. Provide education to both internal and external stakeholders about the modelling process, including the assumptions and methodology used. This will ensure that More β―
Employment Type: Contract, Part Time, Work From Home
on the job, but prior experience is beneficial Experience with deploying Deep Learning models in production systems Experience with development and deployment of NaturalLanguageProcessing (NLP) applications Wide machine learning knowledge from linear regression through LLMs A basic understanding of the cyber threat landscapeandtechnical Indicators of Compromise (IOCs) What Makes Cloudflare Special? We're not just β¦ accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at or via mail at 101 Townsend More β―
an organisation's information landscape, turning data science into real world decision support. InformedDECISION, a first-of-its-kind Artificial Intelligence (AI) and NaturalLanguageProcessing (NLP) platform that allows organisations to make better, faster, more informed decisions. As Sales Executive, you will work with the Product Business Development Manager and Product Team, playing a vital role More β―
Egham, Surrey, England, United Kingdom Hybrid / WFH Options
Cedar
improve customer satisfaction and conversion. Key Responsibilities Design and maintain analytical models, dashboards, and visualisations using tools such as Python, R, Tableau, or Power BI. Apply machine learning and naturallanguageprocessing techniques to both structured and unstructured data sources. Monitor key CX metrics (NPS, CSAT, conversion rates) to identify emerging trends, opportunities, and risks. Conduct exploratory β¦ tools such as Python, R, Tableau, or Power BI. Interest or experience in customer experience and Voice of Customer (VoC) insights. Bonus skills (not required): Experience with predictive modelling, NLP, or large language models. Exposure to customer journey mapping. Knowledge of additional languages (French, Spanish, or German). What's on Offer Opportunities to work across multiple European locations. More β―
Reading, Berkshire, United Kingdom Hybrid / WFH Options
Deloitte LLP
you will be expected to: Build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, naturallanguageprocessing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using cloud More β―
Cambridge, Cambridgeshire, United Kingdom Hybrid / WFH Options
Deloitte LLP
you will be expected to: Build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, naturallanguageprocessing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using cloud More β―
Milton Keynes, Buckinghamshire, United Kingdom Hybrid / WFH Options
Deloitte LLP
you will be expected to: Build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, naturallanguageprocessing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using cloud More β―