501 to 525 of 1,088 Natural Language Processing Jobs

that improve our users’ financial health. Taking the initiative to propose & lead technical work towards problems that were previously unknown or poorly understood. Keeping Cleo at the forefront of NLP by driving the adoption of appropriate state-of-the-art techniques and communicating the team’s successes at the company level & beyond. Mentoring & advising colleagues on their choices of models More ❯

PyTorch. ● Expertise in designing, training, and deploying ML models. ● Experience handling large datasets, data cleaning, feature engineering, and augmentation. ● Experience with high-performance computing and GPU training. ● Knowledge of NLP and transformer models like BERT and GPT. ● Familiarity with generative models such as diffusion and flow matching. ● Good software development practices, including version control and package management. ● Strong problem-solving More ❯

as startups, research labs, or AI-driven product teams. Bachelor's, Master's, or PhD in Computer Science, Mathematics or a related field. Nice to Haves: Experience with LLMs, NLP, or synthetic data generation. Familiarity with Rust or C++ for high performance ML applications. Experience working on search, ranking, or large scale data ingestion pipelines. Experience working with AI data More ❯

Develop and implement state-of-the-art AI/ML methodologies for computational protein design, including fine-tuning protein models and generative protein design. Stay abreast of advancements in NLP, ML, and generative AI to build novel tools that enhance therapeutic discovery and development. Collaborate with internal experts to optimize the computational discovery infrastructure, offering both individual and team-based More ❯

AI initiatives and training efforts. Skills & Experience: Proven experience in applying AI or data science within the media, publishing, or digital content industry. Solid understanding of AI tools (e.g., NLP, computer vision, recommendation engines, generative AI) and their practical applications. Experience designing and delivering training or upskilling programs to diverse professional audiences. Strong analytical, problem-solving, and communication skills. Comfortable More ❯

AI initiatives and training efforts. Skills & Experience: Proven experience in applying AI or data science within the media, publishing, or digital content industry. Solid understanding of AI tools (e.g., NLP, computer vision, recommendation engines, generative AI) and their practical applications. Experience designing and delivering training or upskilling programs to diverse professional audiences. Strong analytical, problem-solving, and communication skills. Comfortable More ❯

AI initiatives and training efforts. Skills & Experience: Proven experience in applying AI or data science within the media, publishing, or digital content industry. Solid understanding of AI tools (e.g., NLP, computer vision, recommendation engines, generative AI) and their practical applications. Experience designing and delivering training or upskilling programs to diverse professional audiences. Strong analytical, problem-solving, and communication skills. Comfortable More ❯

graduation of summer 2025). Understanding of software development principles and design patterns e.g., Object Oriented Programming. Proficiency in Python and experience with AI/Machine Learning libraries e.g., NLP, Computer Vision. Knowledge of additional programming languages (e.g., Java, C++, JavaScript, Ruby, PHP) and ability to write clean code. Experience with version control systems (e.g., Git) and understanding of branching More ❯

Analytics. Knowledge of data modeling techniques. Familiarity with DevOps and version control best practices. Experience with Airflow or other orchestration tools is a plus. Expertise in Machine Learning, especially NLP, is a plus. Certifications such as Azure DP-203 are a plus. Soft Skills: Ability to manage stakeholders and communicate effectively across technical and non-technical teams. A problem-solver More ❯

Ability to develop and maintain good working relationships with cross-functional teams. Ability to clearly communicate and present to internal and external stakeholders. Nice to have, but not essential NLP/Deep learning experience (e.g. huggingface, spaCy) Deep learning framework experience (preferably PyTorch) MLOps experience (e.g. data and model versioning, model deployment CI/CD, MLFlow/DVC) Cloud platform More ❯

Ability to develop and maintain good working relationships with cross-functional teams. Ability to clearly communicate and present to internal and external stakeholders. Nice to have, but not essential NLP/Deep learning experience (e.g. huggingface, spaCy) Deep learning framework experience (preferably PyTorch) MLOps experience (e.g. data and model versioning, model deployment CI/CD, MLFlow/DVC) Some basic More ❯

Role: Researchers are responsible for applying, adapting, and extending existing results in the broad field of machine learning. You will be apart of a highly unique research group across Natural Language Processing, Large Learning Models, deep learning, Bayesian & Signal Optimization with the exciting transition to the world of financial predication through the prism of machine learning. The More ❯

Role: Researchers are responsible for applying, adapting, and extending existing results in the broad field of machine learning. You will be apart of a highly unique research group across Natural Language Processing, Large Learning Models, deep learning, Bayesian & Signal Optimization with the exciting transition to the world of financial predication through the prism of machine learning. The More ❯

Direct message the job poster from Cornucopia IT Resourcing Data Scientist – AI & NLP Innovation London (Hybrid) Our client is a dynamic investment firm using AI to reshape financial insight Are you a data scientist passionate about applying NLP, LLMs, and generative AI to real-world problems? Join a forward-thinking investment management firm based in London’s West End that … working on high-impact projects in a collaborative, inclusive, and mission-driven environment. Why Join? Be part of a newly established, fast-growing AI team Work on cutting-edge NLP and generative AI tools (e.g., RAG, open-source LLMs) Help automate and modernise business processes across a respected financial organisation Flexible, inclusive culture with purpose-driven values around environmental and … social responsibility What You'll Do: Build and deploy AI applications that improve efficiency and deliver business value Apply NLP, LLMs, and automation to unlock insights from complex, unstructured data Work across departments to identify and deliver impactful AI use cases Evaluate emerging models and AI tools for real-world adoption Collaborate closely with the Head of Data Science to More ❯

facility including computer systems maintenance; hardware support; interaction with vendors 6. Create and maintain Data Security Plans (DSP) and Loan agreements; 7. Implement Natural Language Processing (NLP) and Machine Learning (ML) tools and techniques for HLT evaluation and applications; Position Scope and Job Functions 1. HLT Data Collection: Implement Natural Language Processing (NLP) and … Machine Learning (ML) tools and techniques to create and enhance data for Human Language Technology (HLT) evaluation and applications. Use DOMINO Lincoln workflow system for creating interactive foreign language training and testing materials. 2. Human Language Technology Evaluation: Ability to identify and apply benchmarks to evaluate AI model performance. Ability to create custom multi-lingual datasets for … the evaluation of machine translation (MT) and automatic speech recognition (ASR) systems 3. Generative AI: Expertise in Large Language Models (LLMs), generative AI to operational systems. Skills include programming abilities: llama-cpp, mistral, GPT4All, Chat-GPT, Orca, and transformer-based capabilities generally. 4. For Audio/Speech QA/QC: define, create and implement audio applications for measurement and More ❯

Suggested Experience: Minimum of 2 years of experience working with the Microsoft Power Platform, including Power Automate, Power Apps, Power BI, Power Virtual Agents, and Dataverse. Exposure to AI, NLP (Natural Language Processing), and LLM technologies. Proven experience working collaboratively with cross-functional teams to design and deploy solutions in live environments. Solid understanding of software development … to detail. Minimum of 2 years of experience working with the Microsoft Power Platform, including Power Automate, Power Apps, Power BI, Power Virtual Agents, and Dataverse. Exposure to AI, NLP (Natural Language Processing), and LLM technologies. Proven experience working collaboratively with cross-functional teams to design and deploy solutions in live environments. Solid understanding of software development More ❯

to design and implement advanced AI solutions for their core platform. Youll work on cutting-edge projects that leverage Machine Learning (ML) and Natural Language Processing (NLP) techniques to solve complex, real-world challenges. This is an excellent opportunity for someone passionate about AI and innovation to thrive in a collaborative and fast-paced environment. Key Responsibilities … Design, implement, and optimise ML and NLP algorithms for tasks such as sentiment analysis, text summarisation, and predictive modelling. Build and maintain scalable data pipelines, APIs, and AI architectures to support production-ready solutions. Collaborate with engineering teams to integrate AI models into existing systems, ensuring seamless performance and scalability. Work closely with cross-functional teams, including product managers and … and incorporate innovative techniques into projects. What Were Looking For: Proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. Hands-on experience with NLP frameworks such as Hugging Face or spaCy. Strong understanding of data handling, including SQL, NoSQL, and building data processing pipelines. Familiarity with cloud platforms like AWS, Azure, or Google More ❯

Meta is seeking a Research Engineer to join our Large Language Model (LLM) Research team. We conduct focused research and engineering to build state … of-the-art LLMs, which we often open-source, like our team’s recent Llama 2. We are looking for engineers who have a background in generative AI and NLP, with experience in areas like language model evaluation; data processing for pre-training and fine-tuning; responsible LLMs; LLM alignment; reinforcement learning for language model tuning; efficient … training and inference; and/or multilingual and multimodal modeling. Responsibilities Design methods, tools, and infrastructure to push forward the state of the art in large language models. Define research goals informed by practical engineering concerns. Contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results. Adapt standard machine learning methods to best exploit More ❯

seeking a Lead Research Scientist to join its Knowledge & Semantics team . This is an exciting opportunity to guide cutting-edge research in natural language processing (NLP) , knowledge graphs , large language models (LLMs) , and graph machine learning , contributing to projects across defence, security, and commercial domains. You'll work in multi-disciplinary AI teams , collaborating with … internal stakeholders, academic partners, and SMEs, delivering real-world applications of advanced ML techniques and semantic technologies. Key Responsibilities: Lead and shape innovative research in NLP, LLMs, and graph-based machine learning. Oversee the technical delivery of R&D projects, from concept through to prototypes and demonstrators. Prepare technical documentation, funding proposals, and stakeholder presentations. Collaborate with academic institutions and … Python development skills, with experience using ML frameworks like TensorFlow or PyTorch. Expertise in at least one of the following areas: Graph Machine Learning (predictive, causal, or neuro-symbolic) NLP (text mining, entity linking, information extraction) Applications of LLMs in real-world or defence-related contexts Graph-structured data and graph algorithms Designing and utilising relational or graph databases Desirable More ❯

with agile teams to define project requirements and share knowledge Project Involvement: Contribute to a diverse portfolio of AI/ML projects, including: Natural Language Processing (NLP) Predictive Analytics Generative AI LLM Applications (potentially including proprietary scripting language) Profil Bachelor's degree or higher, combined with several years of professional experience Strong programming skills in Python More ❯

organisation is looking to recruit a Big Data Expert with 7 to 10 years expertise as a Big Data Scientist. You will have Natural Language Processing (NLP) knowledge and experience and understand and analyse large data sets to discover new insights. Working in a multi-disciplinary team within a highly technical and complex environment. Well versed in More ❯

an international organisation is looking to recruit a Data Scientist with 7 to 10 years expertise as a Data Scientist. You will have Natural Language Processing (NLP) knowledge and experience and understand and analyse large data sets to discover new insights. Working in a multi-disciplinary team within a highly technical and complex environment. Well versed in More ❯

organisation is looking to recruit a Big Data Expert with 7 to 10 years expertise as a Big Data Scientist. You will have Natural Language Processing (NLP) knowledge and experience and understand and analyse large data sets to discover new insights. Working in a multi-disciplinary team within a highly technical and complex environment. Well versed in More ❯

a Lead Technologist in AI & ML, you’ll play a pivotal role in shaping the future of intelligent systems across a wide range of domains, from computer vision and NLP to reinforcement learning and signal processing. This is a senior leadership position for a seasoned expert who combines deep technical expertise with strategic vision and mentoring capabilities. You’ll lead … over 10 years of experience in advanced research and development. Demonstrated leadership in R&D and engineering assurance across multidisciplinary teams. Deep expertise in areas such as reinforcement learning, natural language processing, large language models, computer vision, or signal processing. Exceptional communication and proposal development skills , with a track record of securing and delivering high-impact More ❯

The Artificial General Intelligence (AGI) team is seeking a dedicated, skilled, and innovative Applied Scientist with a robust background in deep learning to build industry-leading technology with Large Language Models (LLMs) and Multimodal systems. Key job responsibilities As part of the AGI team, the Applied Scientist will collaborate closely with talented colleagues to lead the development of advanced … learning models or developing algorithms for business applications Experience programming in Java, C++, Python, or related languages Experience with neural deep learning methods and machine learning Experience with Large Language Models (LLMs) or multimodal systems PREFERRED QUALIFICATIONS PhD in Mathematics, Statistics, Engineering, Machine Learning, Computer Science, or related discipline 4+ years of industry or postdoctoral experience in machine learning … deep learning frameworks such as MxNet, PyTorch, or TensorFlow Experience in building large-scale machine learning systems Proficiency in state-of-the-art Natural Language Processing (NLP) and Computer Vision (CV) deep learning models Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation More ❯