technical teams and senior stakeholders, guiding them on the right tools, models, and data approaches. Stay ahead of emerging AI trends (e.g., generative AI, NLP, automated decision-making) and assess their applicability to financial markets and investment strategies. Collaborate with data scientists, engineers, and third-party vendors to ensure solutions … of investment decision-making and risk management. Experience working with or guiding technical teams (data scientists, ML engineers) and understanding key technologies (e.g., Python, NLP, LLMs), even if not building solutions directly. Track record of delivering strategic value through technology innovation, ideally in complex, data-rich environments. The successful candidate More ❯
technical teams and senior stakeholders, guiding them on the right tools, models, and data approaches. Stay ahead of emerging AI trends (e.g., generative AI, NLP, automated decision-making) and assess their applicability to financial markets and investment strategies. Collaborate with data scientists, engineers, and third-party vendors to ensure solutions … of investment decision-making and risk management. Experience working with or guiding technical teams (data scientists, ML engineers) and understanding key technologies (e.g., Python, NLP, LLMs), even if not building solutions directly. Track record of delivering strategic value through technology innovation, ideally in complex, data-rich environments. The successful candidate More ❯
to be able to understand the product and client requirements so as to test the product in extreme scenarios and corner conditions. Knowledge in NLP, LLM, AI, and healthcare will help you understand the product better and in turn write better test cases and documentation. Key Responsibilities Performing best practices … of relevant pipeline and processes. Work experience with working in Linux and Microsoft Azure. Nice to Have Experience with deep learning, machine learning and NLP frameworks such as PyTorch, HuggingFace Transformer, Scikit-learn. Experience with multiple cloud platforms such as AWS, Google Cloud Platform, Oracle, NVIDIA, or on-prem environments. More ❯
first instinct. You'll be instrumental in: Strategic Data Leadership : Architect and build product data infrastructure to transform review data into actionable merchant insights NLP/ML Development : Create models that analyse review content, identify trust patterns, and establish merchant benchmarks Pipeline Architecture : Build scalable systems that efficiently process our … You'll Bring Must-Haves 5+ years experience in data engineering and data science roles Strong programming skills in Python and SQL Experience building NLP/ML models, particularly for text classification or sentiment analysis Background in developing data pipelines and ETL processes Proven ability to translate complex data models More ❯
team DESCRIPTION Amazon EU Customer Fulfillment Learning and Development is seeking an Applied Scientist to lead the development of next-generation learning products using NLP and GenAI. In this role, you will act as the GenAI subject matter expert, working closely with scientists, business intelligence engineers, instructional designers, and other … EU, making an impactful difference in their journey. Key job responsibilities Apply technical expertise to lead the development of innovative AI solutions, focusing on NLP and GenAI technologies that drive impactful learning experiences and operational improvements. Work closely with cross-functional teams, including scientists, engineers, instructional designers, and business stakeholders … related field Experience in building models for business application Experience programming in Java, C++, Python or related language Strong understanding of GenAI or NLP fundamentals and passionate about the latest research in this field Proficiency in designing and implementing large-scale data pipelines, and cloud-based data infrastructure PREFERRED More ❯
Qualifications At least ten years experience designing and architecting large-scale, distributed systems. At least three years designing and deploying AI/ML/NLP/Deep Learning solutions. Demonstrable experience as an expert in AI, with a consistent record of leading the architecture of multiple LLM and Generative AI … GANs), Variational Autoencoders (VAEs), and Transformer models (e.g., GPT, BERT for text). Experience in collaborating with data engineers, implementing advanced AI, ML, and NLP techniques using industry standard frameworks. Deep familiarity with vector databases and data processing techniques for LLMs, including model chunking. Hands-on experience with LLM … such as Langchain. Proven expertise in CI/CD pipeline management within the Generative AI space, including LLMOps. Comprehensive understanding of machine learning and NLP algorithms, with hands-on experience in frameworks like Scikit-Learn, TensorFlow, and PyTorch. Strong knowledge of generative AI techniques, including deep generative models, auto regressive More ❯
with very large datasets; familiarity with parallel programming or parallel algorithms development; familiarity with machine learning concepts, data mining, knowledge discovery, and information retrieval (NLP & Semantic Analysis); strong background in Math, Statistics, and Engineering concepts; demonstrated leadership attributes. Optimal Qualifications: Masters or PhD in Computer Science or related field (Statistics … with very large datasets; experience with parallel programming or parallel algorithms development; experience with machine learning concepts, data mining, knowledge discovery, and information retrieval (NLP & Semantic Analysis); strong background in Math, Statistics, and Engineering concepts; experience with Graph Analysis, Recommender Systems (Collaborative Filtering), and probabilistic algorithms; staff supervisory or management … experience. Educational level: Master Degree Level of experience (years): Mid Career (2+ years of experience) How to apply: Please mention NLP People as a source when applying. More ❯
ensuring alignment with Faculty's long-term goals. Conduct and oversee the development of cutting-edge AI safety research, with a focus on large language models and other safety-critical AI systems. Publish high-impact research in leading conferences and journals (e.g., NeurIPS, ACL, ICML, ICLR, AAAI). Support … are looking for A proven track record of high-impact AI research, evidenced by top-tier academic publications (ideally in top machine learning or NLP conferences ACL/Neurips, ICML, ICLR, AAAI) or equivalent experience (e.g. within model providers labs). Deep domain knowledge in language models and AI More ❯
ensuring seamless integration of AI technologies with existing systems. AI Integration: Implement and integrate AI technologies, such as generative AI, machine learning models, or NLP, to enhance our platform's capabilities, optimize processes, and improve user experiences. Platform Development: Design, develop, and maintain scalable AI platform features to enable feature … Azure Machine Learning is a plus. Serverless Architectures: Exposure to serverless architectures, ideally edge compute environments such as Cloudflare Workers. Problem-Solving Skills: A natural problem-solver who brings forward innovative ideas to integrate and features within product workflows, leading to practical solutions and product growth. Collaborative Mindset: Strong More ❯
quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning … skills, both written and oral, with a keen eye for detail. PREFERRED QUALIFICATIONS Bachelor's degree in Science, Computer Science or German stream. German language certificates: DSD II, DaF. Cambridge certifications. Previous experience as AI trainers, knowledge of AI and NLP. Experience with Artificial Intelligence interaction, such as prompt More ❯
Engineer to drive their AI innovation at scale. They are looking for someone to lead a dynamic team in designing and deploying AI, ML, NLP, and Generative AI solutions that will shape business models and deliver tangible impact on profitability, sales, customer experience, and operational efficiency. What You'll Do … implement AI methodologies that solve complex challenges. Oversee/mentor a team of Machine Learning engineers and Data Scientists, pioneering advancements in deep learning, NLP, and Generative AI. Leverage internal and external data sources to develop AI-powered business models that drive growth and efficiency. Your ideal background … years of AI leadership/engineering experience, with a track record of delivering business impact. Deep expertise in Generative AI, Large Language Models, NLP, and deep learning. Strong problem-solving skills, adaptability, and excellent communication. Experience leading ML Engineers and Data Scientists in building AI models. Familiarity with the More ❯
messages across all digital touchpoints. This includes working with multi-modal data such as images, text, and more, leveraging cutting-edge technologies including Large Language Models (LLMs). This is an exciting opportunity at the forefront of machine learning, helping to bring Accessible Intelligence to our customers with great … scoring processes for hosted models. Best Bits of the Job Exposure to a phenomenal array of machine learning domains, including massive-scale search, ranking, NLP, hybridization, classification, multi-modal data processing (images, text, etc.), and far beyond. Leveraging state-of-the-art technologies, including Large Language Models (LLMs … to enhance our products and services. Fully real-time architecture for data processing, model development, and deployment. Deploying and enhancing ML frameworks, optimizing for inference, and training/retraining cycles. Online testing for models with live data using proprietary A/B/N testing technology to rapidly determine More ❯
edge technical infrastructure. You will have the opportunity to contribute to a data curation & filtering system combining the best of real-world scalable data processing systems combined with the latest insights into what training data leads to the best LLMs. Thomson Reuters Labs is known for consistently delivering successful … discipline. Interest in & experience working with (applied) machine learning, e.g. few-shot learning with out-of-the-box language models, training of smaller NLP classifiers, etc. Excellent programming, debugging and system design skills. Excellent communication skills to report and present software designs and findings clearly, both orally and in … Hadoop, or similar. Experience conducting world-leading research, e.g. by contributions to publications at leading ML venues. Previous experience working on large-scale data processing systems. Strong software and/or infrastructure engineering skills, as evidenced by code contributions to popular open-source libraries. What's in it For More ❯
with a strong emphasis on LLM Ops. What you'll do: Develop and refine advanced machine learning models to solve complex challenges. Leverage your NLP expertise to build intelligent solutions, including working with Large Language Models (LLMs). Design and deploy scalable, production-ready AI systems. Collaborate with product … CD practices, ensuring seamless and reliable model deployments. What you bring: Experience within a startup with a self-starter mindset. Proven track record with NLP applications and transformer-based models like BERT or GPT. Advanced proficiency in Python, including PyTorch, Hugging Face Transformers, Pandas, and scikit-learn. Strong understanding of More ❯
with a strong emphasis on LLM Ops. What you'll do: Develop and refine advanced machine learning models to solve complex challenges. Leverage your NLP expertise to build intelligent solutions, including working with Large Language Models (LLMs). Design and deploy scalable, production-ready AI systems. Collaborate with product … CD practices, ensuring seamless and reliable model deployments. What you bring: Experience within a startup with a self-starter mindset. Proven track record with NLP applications and transformer-based models like BERT or GPT. Advanced proficiency in Python, including PyTorch, Hugging Face Transformers, Pandas, and scikit-learn. Strong understanding of More ❯
Role: AI & NLP Trainer Location: Hybrid - London/Remote working Employment Type: Full-Time About the Role Are you passionate about AI, and wanting to educate people on it? Our client is looking for a dynamic AI Instructor to design, developer & deliver cutting-edge training programs in NLP and Chatbot … immersive workshops, and equip professionals across industries with the skills to build intelligent conversational systems. What you’ll be doing: Design & Develop Training on NLP, chatbot architecture, LLMs, and voice interfaces. Deliver hands on, interactive training on the latest tools & technologies within NLP & Conversational AI to internal staff & external clients. … Tailor training content to client needs & requirements Stay up to date with all of the latest advancements, tools & technologies within AI, NLP & ML Requirements: Previous Training experience Previous Teaching/Lecturing experience (Lecturer/Tutor/Trainer/Teacher/Educator/Professor/Instructor) NLP & Conversational AI experience (Dialogflow More ❯
london, south east england, united kingdom Hybrid / WFH Options
FIND | Creating Futures
Role: AI & NLP Trainer Location: Hybrid - London/Remote working Employment Type: Full-Time About the Role Are you passionate about AI, and wanting to educate people on it? Our client is looking for a dynamic AI Instructor to design, developer & deliver cutting-edge training programs in NLP and Chatbot … immersive workshops, and equip professionals across industries with the skills to build intelligent conversational systems. What you’ll be doing: Design & Develop Training on NLP, chatbot architecture, LLMs, and voice interfaces. Deliver hands on, interactive training on the latest tools & technologies within NLP & Conversational AI to internal staff & external clients. … Tailor training content to client needs & requirements Stay up to date with all of the latest advancements, tools & technologies within AI, NLP & ML Requirements: Previous Training experience Previous Teaching/Lecturing experience (Lecturer/Tutor/Trainer/Teacher/Educator/Professor/Instructor) NLP & Conversational AI experience (Dialogflow More ❯
deployment, and design, deploy, and operate a full-stack system. Areas to improve will include replacing existing workflows with advanced machine learning algorithms, including NLP and ensemble methods using powerful data munging, ML pipelines with advanced algorithms fully deployed for speed and accuracy with graphical user interface (GUI). You … will also participate in software development meetings with the CEO, CTO, CIO, V.P of Data Processing and Governance, and V.P of Software Engineering and Advanced Analytics to determine technical requirements and will undergo a formal approval, review, and voting by representatives for security impact analysis (the Change Approval Board More ❯
and anomaly detection. You need to know the concept and be handly with the most common libraries. Model Hosting and Monitoring: Host and monitor NLP models and LLM for real-time and batch inference. Develop Monitoring Systems: Create and support robust models for monitoring. Support and Innovate: Assist with a … with third-party APIs is essential. Data Pipelining: Experience with SQL, ETL, data modeling. Experienced with the lifecycle of building ML solutions. Speak AI language: Understand the fundamentals of ML/AI and communicate effectively with AI and Data Scientists. Infra: Deep Knowledge of Docker, Git, cloud networking, and More ❯
space - specifically around drug discovery and RNA sequencing ROLE AND RESPONSIBILITIES Working closely within a small team, to design and build models across LLMs, NLP and Computer Vision Working alongside technical and non-technical stakeholders, creating insights and reports on key findings Driving the latest innovative research in AI, building … or PhD in STEM/AI related subject Proficiency in Python, SQL and DevOps & CI/CD Experience in Computer Vision/LLMs/NLP is required Background in HealthTech, BioTech, PharmaTech is a large benefit but otherwise any tech company working on the projects above Excellent communication skills with More ❯
space - specifically around drug discovery and RNA sequencing ROLE AND RESPONSIBILITIES Working closely within a small team, to design and build models across LLMs, NLP and Computer Vision Working alongside technical and non-technical stakeholders, creating insights and reports on key findings Driving the latest innovative research in AI, building … or PhD in STEM/AI related subject Proficiency in Python, SQL and DevOps & CI/CD Experience in Computer Vision/LLMs/NLP is required Background in HealthTech, BioTech, PharmaTech is a large benefit but otherwise any tech company working on the projects above Excellent communication skills with More ❯
In this role you will: Drive machine learning projects across recommenders, segmentation, forecasting and optimising marketing spend Work on advanced projects across GenAI and NLP Work closely with an Engineering team, whilst remaining full stack in your projects Report into Head of Data Science Driving commercial value closely with senior … is required Experience across some of recommenders, forecasting, pricing, churn, marketing etc. - this is a role for a generalist! Exposure to some of GenAI, NLP, Computer Vision is a bonus MSc in a STEM subject (Maths, Physics, Data Science, Computer Science, Engineering etc.) Strong communication skills, and commercially driven Experience More ❯
In this role you will: Drive machine learning projects across recommenders, segmentation, forecasting and optimising marketing spend Work on advanced projects across GenAI and NLP Work closely with an Engineering team, whilst remaining full stack in your projects Report into Head of Data Science Driving commercial value closely with senior … is required Experience across some of recommenders, forecasting, pricing, churn, marketing etc. - this is a role for a generalist! Exposure to some of GenAI, NLP, Computer Vision is a bonus MSc in a STEM subject (Maths, Physics, Data Science, Computer Science, Engineering etc.) Strong communication skills, and commercially driven Experience More ❯
first instinct. You'll be instrumental in: Strategic Data Leadership : Architect and build product data infrastructure to transform review data into actionable merchant insights NLP/ML Development : Create models that analyse review content, identify trust patterns, and establish merchant benchmarks Pipeline Architecture : Build scalable systems that efficiently process our … You'll Bring Must-Haves 5+ years experience in data engineering and data science roles Strong programming skills in Python and SQL Experience building NLP/ML models, particularly for text classification or sentiment analysis Background in developing data pipelines and ETL processes Proven ability to translate complex data models More ❯
large graph/network data sets, with rich textual content. Experience of Java programming; can independently prototype solutions to problems. Experience with Recommender System, NLP and Machine Learning libraries. Experience with big data technologies (e.g. Hadoop, MapReduce, Cascading, Scalding, Scala) is desirable but not required. Unix skills. Experience with start … environments. Strong presentation skills in communicating with experts and novices. Language requirements: Fluent spoken and written English. Educational level: Master Degree. Please mention NLP People as a source when applying. More ❯
