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―
has been evolving since the 1950s and is now utilized by some of the most innovative companies worldwide. It is an area I find fascinating. While some aspects of NLP may seem straightforward to a Data Scientist, they can be quite complex and impressive to others trying to understand the capabilities of modern computers. I do not claim to be β¦ an NLP expert myself, but I enjoy working with clients who are, and I am eager to see how they are applying NLP and the exciting possibilities it offers. Currently, my client is seeking someone with a deep technical knowledge and passion for NLP. They are an innovative start-up based in London, focusing on NLP, machine learning, and text β¦ Skills required: Computer Science background Algorithm implementation Machine learning expertise Proficiency in Go, C, C++, Redis Experience with multi-language text processing How to apply: Please mention NLP People as a source when applying. Apply here Tags: Industry , Machine Learning , NaturalLanguageProcessing , NLP , United Kingdom More β―
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 β¦ 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 β¦ 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 β―
Vytas MuleviΔius is the NLP team lead at Neurotechnology. He motivates his team by listening to their individual needs and believes that working regularly on various projects is key to staying inspired and successful in AI R&D. 1. How did you start your career at Neurotechnology? Neurotechnology was one of about 30 or 40 companies I applied to after β¦ Processing? No, not at all. Initially, I was deeply interested in computer vision algorithms, optimization techniques like quantization and pruning, and efficient training methods. My interest in NLP began when we started pivoting to text analysis with StockGeist around . After that, custom projects and various government tenders followed, which further fueled my passion for NLP. 4. How β¦ understanding of what you truly want in life. Only then can you define meaningful goals to work toward. In my case, the drive comes from creating new technologies in NLP and successfully delivering impactful projects. A big part of what keeps me motivated is my team. 6. What's it like leading a team? What are the most important aspects More β―
Signal is looking for a specialist in Information Retrieval, NaturalLanguageProcessing or Machine Learning who can help develop the technology needed to drive our new information service. Signal is creating a product that allows our clients to receive a feed of information based on very specific and complex requirements (e.g. "All the news related to IPOs β¦ of European technology companies"). We are building this technology using cutting-edge algorithms for different information processing tasks in collaboration with leading universities. The next steps in the business will focus on how allows users to discover new information by navigating through all our information and automatically generating actionable insight from it. The successful candidate will join our β¦ people from diverse functional backgrounds (mainly developers and researchers) that work closely together to bring this project forward. We combine technology from several research fields, including machine learning; naturallanguageprocessing; and information retrieval. We also work in close collaboration with several universities and we encourage the publication of research results from the team in academic conferences. More β―
large language model (LLM) agents to push the boundaries of legal technology. You'll be collaborating closely with data scientists, software engineers, and product managers to integrate advanced NLP techniques into our products. What You'll Do Innovative NLP Research: Research, evaluate, and implement state-of-the-art NLP methodologies and large language model approaches to drive product β¦ RAG) and Knowledge Graphs - to enhance our core product and explore new use cases. Cross-Functional Collaboration: Work closely with cross-functional teams to integrate advanced ML models and NLP solutions into our platform, ensuring they align with business objectives and provide tangible value. Strategic Innovation: Stay current with the latest trends and breakthroughs in NLP, machine learning, and multi β¦ agent systems, and contribute ideas that shape the strategic direction of our AI initiatives. About You Machine Learning & NLP Expertise: Strong understanding of machine learning and naturallanguageprocessing with relevant commercial experience in building and deploying NLP solutions. Cloud & Containerization Skills: Experience with the AWS cloud platform and containerization technologies (e.g., Docker, Kubernetes). Collaboration & Communication More β―
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 β¦ conferences, experimentation and participating in our knowledge sharing community β’ 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 β’ Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions β¦ 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 β’ 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 β’ PhD in a quantitative discipline, e.g. Computer Science More β―
proof-of-concept to beta-product phase. You will have the opportunity to learn new techniques and algorithms at the cutting edge of NaturalLanguageProcessing (NLP), specifically in compensating for Large Language Model limitations. You will also have the opportunity to innovate and contribute to algorithm development. Dr G.A.McHale, Technical Director, AI & Data Science About β¦ the Team The team is led by someone with significant AI experience in bio-inspired architectures, reinforcement learning, expert systems, scheduling, meta-heuristics, robotics, and naturallanguageprocessing (including LLMs). We have recruited an experienced scientific computing developer with a strong mathematics background in theoretical physics, responsible for distributed systems and GPU optimisation of AI algorithms. β¦ by competence in other languages (e.g., C++ or Java). Experience in electronics or communications hardware is a plus. Experience in writing and filing patents is appreciated. Experience in NLP outside of LLMs is desirable but not mandatory. You should be highly motivated and willing to learn new skills as needed. Contract type Regular Worker type Employee What We Offer More β―
of the art in AI and ML. Work on some of our most exciting Data Science initiatives aimed at improving the Trustpilot consumer experience: from ranking and recommendations to naturallanguageprocessing and search. Build, deploy, and maintain production-ready ML models that directly power features used by millions of users. Collaborate closely with engineers, product managers β¦ like search, ranking, recommendations, personalization, or discovery. Strong hands-on ability with ML modeling, including semantic search, ranking algorithms, clustering, recommendation systems, and naturallanguageprocessing (NLP), with a track record of deploying models to production. Strong skills in data analysis, statistical modeling, and computational problem-solving; ideally with a background in a quantitative field such as More β―
of the art in AI and ML. Work on some of our most exciting Data Science initiatives aimed at improving the Trustpilot consumer experience: from ranking and recommendations to naturallanguageprocessing and search. Build, deploy, and maintain production-ready ML models that directly power features used by millions of users. Collaborate closely with engineers, product managers β¦ like search, ranking, recommendations, personalization, or discovery. Strong hands-on ability with ML modeling, including semantic search, ranking algorithms, clustering, recommendation systems, and naturallanguageprocessing (NLP), with a track record of deploying models to production. Strong skills in data analysis, statistical modeling, and computational problem-solving; ideally with a background in a quantitative field such as More β―
Cambourne, Cambridgeshire, United Kingdom Hybrid / WFH Options
Remotestar
AWS, Azure, or Google Cloud. β’ Experience in multiple industries is advantageous (e.g., healthcare, finance, retail). Skills: AI/ML Expertise: Strong understanding of machine learning algorithms, deep learning, naturallanguageprocessing, computer vision, and data-driven problem-solving techniques. Architecture Skills: Proven ability to design and architect scalable, reliable, and high-performance Al solutions. Leadership and β¦ risks, and opportunities. 4. Research and Development: Emerging Technologies: Stay updated on the latest developments in Al technologies, including deep learning, reinforcement learning, naturallanguageprocessing (NLP), and computer vision, and evaluate their potential impact on business processes. Proof of Concept (POC): Lead the development of PoCs and pilot projects to test Al ideas and validate their More β―
personalized search and recommendation systems. As a Principal Scientist in MSAI, you will work in an exciting and fast-paced, collaborative environment. You'll bring deep expertise in large language models (LLMs), information retrieval, and machine learning to improve the quality and scalability of M365 Copilot.You'll partner closely with engineering and product teams to innovate, design and evaluate β¦ Statistics, OR related areas is highly preferred. Candidates with master's degree with proven industry experience or a strong publication record in the areas of Information Retrieval, Machine Learning, NaturalLanguageProcessing, and Deep Learning are considered as well. Extensive hands-on experience building and deploying products using Machine Learning. Specifically, we are looking for expertise in β¦ NaturalLanguageProcessing, Large Language Models, Information Retrieval, and Recommendation Systems with a good understanding of techniques like Differential Privacy, Responsible AI and related areas. High proficiency in deploying machine learning applications at scale in real production environments and proven track record of successfully shipping applied research to production is a must Excellent problem solving and More β―
Statistics, OR related areas is highly preferred. Candidates with master's degree with proven industry experience or a strong publication record in the areas of Information Retrieval, Machine Learning, NaturalLanguageProcessing, and Deep Learning are considered as well. - Extensive hands-on experience building and deploying products using Machine Learning. Specifically, we are looking for expertise in β¦ NaturalLanguageProcessing, Large Language Models, Information Retrieval, and Recommendation Systems with a good understanding of techniques like Differential Privacy, Responsible AI and related areas. - High proficiency in deploying machine learning applications at scale in real production environments and proven track record of successfully shipping applied research to production is a must - Excellent problem solving and β¦ check upon hire/transfer and every two years thereafter. Preferred Qualifications: - PhD degree in Computer Science, Statistics, Mathematics, OR a related field. - Proven track record in training large language models and post-training large language models, using reinforcement learning or similar techniques - First-hand experience building agentic AI models using deep learning Microsoft is an equal opportunity More β―
Statistics, OR related areas is highly preferred. Candidates with master's degree with proven industry experience or a strong publication record in the areas of Information Retrieval, Machine Learning, NaturalLanguageProcessing, and Deep Learning are considered as well. - Extensive hands-on experience building and deploying products using Machine Learning. Specifically, we are looking for expertise in β¦ NaturalLanguageProcessing, Large Language Models, Information Retrieval, and Recommendation Systems with a good understanding of techniques like Differential Privacy, Responsible AI and related areas. - High proficiency in deploying machine learning applications at scale in real production environments and proven track record of successfully shipping applied research to production is a must - Excellent problem solving and β¦ check upon hire/transfer and every two years thereafter. Preferred Qualifications: - PhD degree in Computer Science, Statistics, Mathematics, OR a related field. - Proven track record in training large language models and post-training large language models, using reinforcement learning or similar techniques - First-hand experience building agentic AI models using deep learning Microsoft is an equal opportunity 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―
an outstanding individual who can take ownership of projects and start new initiatives. As a Machine Learning Engineer at DigitalGenius, you will be responsible for building and improving our NaturalLanguageProcessing, Image Recognition, and Recommendation solutions to maximise the product's performance for our customers. Your time will be divided between improving the core product, researching β¦ clients. This is an excellent opportunity for those with strong programming capabilities and a deep understanding of AI. We are looking for someone with complementary skills that extend beyond NLP, preferably somebody with experience in ecommerce. The AI team at DigitalGenius owns all ML-related research, implementation and maintenance. In practice, this means keeping up to date with the SOTA β¦ Infrastructure Requirements Degree in relevant field with 3+ years of industry experience Strong Technical Skills: Python, Production APIs, Infrastructure as Code, AWS or other Cloud provider Deep understanding of NaturalLanguageProcessing/Generative AI/Image Recognition Extensive experience with machine learning techniques and algorithms such as supervised and unsupervised learning techniques, predictive modelling and statistics. More β―
you a DevOps engineer ready to dive into the world of MLOps? Do you want to work on real-world deployments of cutting-edge machine learning models, including Large Language Models (LLMs)? We're looking for a motivated Junior MLOps Engineer with a DevOps background, eager to help us deploy and maintain machine learning models, especially Large Language β¦ Aveni Aveni is an award-winning technology company. We use advanced AI to enable scalable efficiency for financial services companies, combining world-leading NaturalLanguageProcessing (NLP) and Large Language Model (LLM) expertise with deep financial services domain experience to drive enterprise-wide productivity. Aveni harnesses the power of voice to drive unprecedented efficiency and oversight. More β―
such as model output. Continuous improvement : Stay up-to-date with the latest developments in AI and software engineering, and continuously improve our systems and processes. οΈ Is this you? Language fundamentals : Proficient in Python, with a strong understanding of data types, string manipulation, type casting and conversions. Functions : Experienced in calling functions, using default and variable arguments, and writing β¦ use cases. Preferred skills and experience Machine learning experience : Familiarity with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn. NaturalLanguageProcessing (NLP) : Experience with NLP techniques and tools, such as spaCy or NLTK. Distributed systems : Knowledge of distributed systems and experience with tools like Kubernetes or Docker. Cloud services : Experience with cloud More β―
initiatives. Aveni is an award-winning technology company. We use advanced AI to enable scalable efficiency for financial services companies, combining world-leading NaturalLanguageProcessing (NLP) and Large Language Model (LLM) expertise with deep financial services domain experience to drive enterprise-wide productivity. Aveni harnesses the power of voice to drive unprecedented efficiency and oversight. More β―
cases. Aveni is an award-winning technology company. We use advanced AI to enable scalable efficiency for financial services companies, combining world-leading NaturalLanguageProcessing (NLP) and Large Language Model (LLM) expertise with deep financial services domain experience to drive enterprise-wide productivity. Aveni harnesses the power of voice to drive unprecedented efficiency and oversight. More β―
ecosystem. Aveni is an award-winning technology company. We use advanced AI to enable scalable efficiency for financial services companies, combining world-leading NaturalLanguageProcessing (NLP) and Large Language Model (LLM) expertise with deep financial services domain experience to drive enterprise-wide productivity. Aveni harnesses the power of voice to drive unprecedented efficiency and oversight. More β―
manage end-to-end data science projects, ensuring timely, high-quality delivery. Develop and deploy machine learning solutions using Python, including applications in naturallanguageprocessing (NLP) and speech-to-text technologies. Translate analytical results into business-relevant insights for both technical and non-technical stakeholders. Mentor junior analysts and data scientists, providing technical guidance and supporting β¦ writing clean, maintainable code. Hands-on expertise with speech-to-text systems, including model selection, audio data processing, transcription accuracy, and integration into business applications. Experience working with NLP and GenAI/LLMs, including prompt engineering, fine-tuning, and evaluation. Strong communication skills, with the ability to explain technical concepts to business stakeholders. Proven track record of managing multiple β¦ projects and leading teams in fast-paced environments. Experience collaborating with cross-functional teams to ensure smooth deployment of solutions. Desired Skills and Experience LLM, NLP, Speech to Text, Python, SQL More β―
source or commercial LLMs, building a Multiagent system, leveraging Small Language models that could be locally resident, problems in computer vision, speech, NaturalLanguageProcessing (NLP), multilingual models, applied statistics, data mining or conventional machine learning models. We look to our data scientists to be conversant with at least 2 or more of the above areas More β―
source or commercial LLMs, building a Multiagent system, leveraging Small Language models that could be locally resident, problems in computer vision, speech, NaturalLanguageProcessing (NLP), multilingual models, applied statistics, data mining or conventional machine learning models. We look to our data scientists to be conversant with at least 2 or more of the above areas More β―
