51 to 75 of 203 Natural Language Processing Jobs

eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field. more »

eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field. more »

eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field. more »

eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field. more »

in machine learning related field or equivalent years of experience and fundamental knowledge of machine learning Proven track record of leadership in generative AI, NLP and/or large models Experience programming in Java, C++, Python or related language Experience in building machine learning models for business application Experience … MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects) Amazon is an equal opportunities employer. We believe passionately that employing more »

related discipline; advanced degree preferred. Demonstrated success in designing and delivering AI solutions within the insurance domain , with hands-on experience across predictive modeling, natural language processing, computer vision, and reinforcement learning. Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python, Java), and cloud more »

to £75k DoE plus bonuses and benefits 3 days on site per week in Cheltenham Skills required in Machine Learning, AWS/Azure, Python, NLP, AI Who are we? We are recruiting a Data Scientist with enhanced DV Clearance for a prestigious client to work on a portfolio of public … for data management, statistics, machine learning, and visualisation. Expertise in popular machine learning frameworks like TensorFlow and PyTorch Knowledge of cutting-edge techniques for Natural Language Processing and Computer Vision Strong grasp of basic probability concepts and machine learning lifecycle Experience with workflow and pipelining frameworks (e.g. … Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Scientist/Data Science/AWS/Azure/Machine Learning/NLP/AI/PyTorch/TensorFlow/Python/Cheltenham/Security Cleared/DV/DV Cleared/Enhanced Clearance more »

and Continuous Delivery (CI/CD), Test-Driven Development (TDD), SDLC, etc. Basic development of machine learning models ( PyTorch or TensorFlow ) Working with Large Language Models ( e.g GPT, PaLM, Llama ) Strong background in either Python/Typescript Familiarity with Retrieval Based Augmentation concepts Experience with Vector Databases Experience using … and leveraging search interfaces Experience with modern application architecture methodologies (Service Orientated Architecture, API-Centric Design, Twelve-Factor App, FAIR, etc.). Familiarity with natural language processing or AI technologies ( e.g LLMs such as ChatGPT or BARD, Embeddings, Prompt Engineering ) Experience with machine learning, data pipelines and … preferably processing of document s (e.g using Google Cloud Fusion/Azure Data Factory ) Experience in new database technologies such as vector databases advantageous Strong background in either Python/Typescript Experience supporting digital platforms, including Integrations, Release Management, Regression Testing, Integrations, Data Obfuscation, etc. Experience scaling an “API more »

Engineering, Mathematics, or a related discipline Demonstrated success in designing and delivering AI solutions within the insurance domain , Hands-on experience across predictive modelling, natural language processing, computer vision, and reinforcement learning. Proficiency in ML frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python, Java), and cloud platforms 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 »

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 »

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 »

AI advancements, and a desire to explore innovative solutions under mentorship and guidance. Desirable: Exposure to courses related to Artificial Intelligence, Machine Learning, or Natural Language Processing Familiarity with frameworks like Express.js, Flask, or NestJS Familiarity with libraries like TensorFlow, PyTorch, or scikit-learn Basic understanding of more »

which enables searching through half a million pages documenting climate action, by government, worldwide. Harnessing data science and AI, and pioneering the application of natural language processing to this domain, our work unlocks previously inaccessible, unstructured data. This serves to enhance accountability, and promote data democratisation, transforming … supporting data partners in curating large libraries of climate-related documents. Building out our “virtual research assistant” roadmap ambition, including leveraging and productionising large language models to help researchers analyse data. You will be working in a tech team using a diverse tech stack including: Backend: Python, FastAPI, PostgreSQL more »

CI/CD), Test-Driven Development (TDD), SDLC , etc. Familiarity working within an agile team. Developing machine learning models ( Python or TensorFlow ) Familiarity with natural language processing or AI technologies ( e.g LLMs such as ChatGPT or BARD , Embeddings , Prompt Engineering ) Experience with data pipelines and preferably processing 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 »

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 »

high-impact AI applications within our offerings, crafting scalable technological frameworks. Maintain an unwavering commitment to professional growth , mastering the latest in Generative AI, Natural Language Processing, and Deep Learning. Mentor and coach junior engineers to enhance their technical skills, fostering a culture of continuous learning and … native AI/ML solutions Proficiency in data pipeline orchestration across hybrid environments, leveraging the latest in Azure and allied technologies. Expertise in data processing with tools like Spark or Dask, and fluency in Python, Scala, C#, or Java. Expertise in DevOps and CI/CD automation , ensuring seamless more »

of structured and unstructured data, including integration of data through Azure cloud-based ingestion and curation processes. Knowledge of data mining, machine learning, and natural language processing is considered advantageous. Familiarity with Agile methodologies and participation in Scrum ceremonies. Competence in designing and constructing solutions tailored for more »

of structured and unstructured data, including integration of data through Azure cloud-based ingestion and curation processes. · Knowledge of data mining, machine learning, and natural language processing is considered advantageous. · Familiarity with Agile methodologies and participation in Scrum ceremonies. · Competence in designing and constructing solutions tailored for more »

some of the following: Networking (DNS, TCP/IP, HTTP, CDN, and VPC) Containerization and DevOps Tools Security Artificial Intelligence, including ML, RPA and Natural Language Processing Commercial experience with Event Driven Architectures Ability to architect applications in AWS/Azure using a wide array of AWS more »

an ultimate legal AI platform. You will lead the R&D function's efforts in leveraging advanced data science techniques, particularly focusing on Large Language Models (LLMs), to drive innovation and pioneer cutting-edge legal technology products. You will play a crucial role in shaping and executing our client … a deep understanding of the legal industry. Proven experience leading teams of data scientists across diverse projects. Extensive expertise in data science, particularly in natural language processing, LLMs, search, and retrieval. Track record of successfully leading R&D projects from concept to productization. Proficient in communicating technical more »

search, data integration, robust transactional systems, backtesting, and their related services. Our services span real-time analytics, ETL processes, backtesting trading strategies, live trading, natural language processing, and our platform/user interface. In your role as an SRE you will focus on scalability and reliability from … Extensive experience and deep understanding of infrastructure as code (Terragrunt/Terraform). Strong understanding of Docker, Kubernetes, Linux and data pipelines and stream processing tools. Experience with both on-premise/colocated servers as well as cloud infrastructure, and hybrid deployments spanning both types of environments. Experience with … observability platforms (e.g., DataDog) and alarm systems (e.g., PagerDuty) >Nice to have< Coding background in at least one language (Node, JavaScript, Python, C++, etc) Understanding of mesh networking with Kubernetes clusters (Istio, Linkerd, or similar), ArgoCD Familiarity managing and configuring services that rely on: Git, S3, SQL, Mongo Familiarity more »

researchers with proven experience in applying Natural Language Processing for Equities. We are looking for individuals with proven experience in applying NLP to Equities data at a buy-side firm. more »

or tech-driven environments. Strong leadership skills, proven in building and managing high-performing AI teams. Deep understanding of AI technologies including machine learning, natural language processing, and computer vision. Track record of driving business impact through AI initiatives with focus on client outcomes. Excellent communication and more »