1 to 25 of 33 Natural Language Processing Jobs with Hybrid or WFH Options

domain experts to build the next generation of Moody s products and services. Develop production grade generative AI solutions, with a focus on large language models, to develop novel methods and techniques that can be applied to Moody s challenges. Collaborate with cross-functional teams to define objectives, identify … in Computer Science, Machine Learning, Computer Engineering, relevant technical field, or equivalent practical experience. Strong background in generative AI, with a focus on large language models and natural language processing. Proficiency in Python, and experience with machine learning frameworks such as PyTorch or TensorFlow. Knowledge of state … requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Industry , Natural Language Processing , NLP , Supervised Learning , United Kingdom , Unsupervised Learning #J-18808-Ljbffr more »

solve real world financial problems Build/run in-house developed and third party ML models in production Deep learning research (Graph Neural Networks) Natural language processing (Semantic search, Generative LLMs) Datapoint extraction Develop novel methods to facilitate financial research from unstructured data. We are a research … or experience in most of the following; Programming skills (python and java highly desirable) Solid theoretical background in Algebra, Statistics and Machine Learning Specific Natural language Processing knowledge including: Large language models training and fine-tuning RAG search pipelines. Working with Linux systems Service architectures, Docker more »

or computer vision systems in an industrial environment Experience with time-series data and correlation Understanding of multiple Machine Learning disciplines, such as Image Processing, Computer Vision, Signal Processing, Natural Language Processing, Pattern Recognition etc. Experience with Docker and Google Suite including Google Cloud Platform … Experience with DevOps tools such as experiment tracking, automation, dataset versioning, etc. Excellent data processing capabilities using tools such as Python, Excel, Google Suite About you: You have good interpersonal skills and are prepared to collaborate in a team to refine solutions Natural curiosity to explore unexplored Perseverance more »

AI, ML, Data Science career opportunities Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products more »

to have Gov experience and working to GDS standards would be ideal - Strong understanding of conversational AI technologies, natural language processing (NLP), and chatbot frameworks. - Exceptional analytical and problem-solving skills, with a data-driven approach to decision-making. - Excellent communication and interpersonal skills, with the ability more »

solutions. Proficiency with AI tools such as AWS Bedrock , Azure AI , Claude , OpenAI , and similar platforms. Experience with natural language processing (NLP) and machine learning (ML) techniques. Familiarity with integrating AI models into business processes, particularly in customer service and finance. Ability to work independently and manage more »

transform and analyse data from a wide variety of corporate structured and unstructured sources, 3rd party providers and publicly available data. Leverage cloud data processing frameworks like Apache Spark, Databricks, or similar for handling, processing and analysing complex, high-volume data both structured and unstructured. Ability to script … Data Science Use Python or R, alongside SQL to analyse and model complex, high volume data. Develop and apply clustering, classification, regression, anomaly detection, natural language processing, or GenAI models to business use cases. Apply advanced analytics to business scenarios such as pricing, CLV (including acquisition and more »

DALL-E, CLIP, or others. Familiarity with machine learning concepts and techniques such as supervised and unsupervised learning, classification, regression, clustering, anomaly detection, natural language processing, computer vision, and deep learning. Experience with data visualization and storytelling tools and techniques. Excellent communication, collaboration, stakeholder management, and problem more »

decision making, using an array of data science techniques such as time series forecasting, regression modelling, statistical modelling and hypothesis testing, discrete event simulation, natural language processing and process mapping. We are looking for a person who is logical and methodical, has an interest in all things … analysis, mining, and modelling in a work environment Practiced in using SQL Server in a work environment (including creating complex queries using structured query language to extract data and create reports) Practical experience with machine learning techniques, visualisation best practice, simulation, optimisation, and advanced multivariate statistics Skills, knowledge, ability more »

be collaborating closely with the most advanced ML teams worldwide, tackling some of the most challenging ML issues in areas like computer vision, robotics, natural language processing, and beyond. This specific role will be centered on W&B s engagement with new customers who have recently adopted more »

libraries and tooling. Python libraries for data management, statistical analysis, machine learning, and visualisation. Machine learning frameworks such as TensorFlow and PyTorch. Knowledge of Natural Language Processing and Computer Vision applications. Strong understanding of basic probability concepts. In-depth knowledge of the machine learning lifecycle and collaboration more »

ll be working with the most sophisticated ML teams in the world working on some of the toughest ML problems in computer vision, robotics, natural language processing, and more. This specific role will be focusing more on W&B s engagement with Prospective customers who are evaluating more »

the private sector to understand and advance effective climate policies and deploy climate finance. Harnessing data science and AI and pioneering the application of natural language processing to this domain, our work unlocks previously inaccessible, unstructured data. We are deeply embedded in the global climate and AI … data partners in curating large libraries of climate-related documents. And building out our virtual research assistant roadmap ambition, including leveraging and productionising large language models to help researchers analyse data. Our ideal candidate will champion engineering excellence, open source, and delightful user experiences. We are looking for candidates more »

Building optimization tools using Python to facilitate counterparty risk management, including cash usage, balance sheet, liquidity, and regulatory capital What we re looking for: Natural language processing and sentiment analysis Attention based transformer architectures, e.g. Google s open-source BERT Experience in supporting machine learning models in … production Hands-on programming skills in Python or C++ Skills that will help you in the role: Experience with Large Language Models in a production setting Experience supporting AWS cloud based risk model systems, supporting runtimes using virtual and serveless hardware, deployment quantitative models to production Experience in development more »

are valued. We offer world class learning and career development opportunities, while we celebrate an inclusive culture. The role As a Lead Data Scientist (NLP & GenAI) at Allianz Commercial, you will work closely with our team of data scientists, data engineers, ML engineers and analysts in designing and implementing solutions … from topic modelling and entity recognition to text generation, creating ontologies and conversational AI. This role requires strong technical skills, a solid foundation in NLP, and a passion for innovation and problem solving. Responsibilities Implement ML/GenAI architectural strategy and roadmap developed at enterprise level and adapt to the … vision of business stakeholders, ensuring it's in harmony with their strategic objectives. Research, design, and develop solutions using NLP models and algorithms to extract insights from unstructured text data. Collaborate closely with data engineers to pre-process and clean text data, ensuring data quality and compatibility with NLP models. more »

technical, management, and subject matter experts to deliver products or platform capabilities Experience with applying machine learning solutions to real world problems, ideally around natural language processing Proven track record of building and leading high-performance technology teams, and an ability to attract and retain talented individuals more »

platforms and services Start up experience, working on projects end-to-end and independently Bonus points: Passion for blockchain Contributions to open-source projects NLP and Computer Vision experience If this has piqued your interest, apply now for immediate consideration. more »

machine learning algorithms. An understanding of data science and machine learning concepts and algorithms such as clustering, regression, classification, forecasting, neural networks, hyperparameter tuning, NLP, and utilising LLMs. An understanding of the importance of effective communication with clients and experience of relaying complex technical concepts to diverse audiences. Proficiency in more »

in Dutch or French, with fluency in English. Essential technical skills include Python, LLM-powered RAG solutions, and Git, as well as experience in NLP/NLU projects. Desirable skills include Django, Front End web technologies, APIs, Postgres, CI/CD tools, and Rasa Chatbot. A solid understanding of AI more »

of Docker and Kubernetes. Experience with workflow and orchestration tools such as Airflow, Dagster or equivalent. Experience in a Software Engineering role. Experience with NLP techniques and/or computer vision. What to expect next: Our interview process is fast and goes like this: You will have an initial call more »

system for the NHS during the COVID-19 pandemic , modelling 3D point cloud data to identify and measure assets for Network Rail , and using NLP to identify topics in market research . You will help our excellent commercial team build strong relationships with clients, shaping the direction of both current … science position or a quantitative academic field Strong programming skills as evidenced by earlier work in data science or software engineering. Although your programming language of choice (e.g. R, MATLAB or C) is not important, we do require the ability to become a fluent Python programmer in a short … essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is more »

with a Cambridge university spin-out in the LegalTech space who's product massively improves the contract review process for legal documents. They use NLP and AI techniques to improve both the speed and efficiency of the industry. They are currently at the scale-up phase and are now looking more »

Senior Recruitment Consultant - AI & Data (Europe or North America) Excellent Salaries Commission Benefits Central Manchester or Remote Areas: Artificial Intelligence, NLP, Data, Computer Vision, Recommender Systems, LLM's, Quantum Computing, Machine Learning, Deep Learning We are a leading recruitment agency with an established AI department that has been running for more »

with a Cambridge university spin-out in the LegalTech space who's product massively improves the contract review process for legal documents. They use NLP and AI techniques to improve both the speed and efficiency of the industry. They are currently at the scale-up phase and are now looking more »

addition to Causaly s AI organisation. You will work alongside an interdisciplinary team of experts to build scalable and robust solutions to highly complex NLP problems that drive business impact. You will develop and implement cutting-edge machine learning algorithms to help us extract valuable insights from large biomedical datasets. … Please note we are unable to sponsor visas for this position. Responsibilities: Lead the development and optimization of machine learning models and algorithms for processing and extracting insights from scientific literature Collaborate with Research Engineers to experiment with new ideas, evaluate models, and improve performance Work with the engineering … as transformers/CNNs Excellent programming skills in Python and object-oriented paradigm Agile software development experience Preferred Qualifications Experience fine-tuning LLMs for NLP tasks in industry Experience in Biomedical data or computational sciences Experience in cloud platforms such as GCP or AWS Experience with MLOps/LLMOps frameworks more »