426 to 450 of 1,084 Natural Language Processing Jobs

and operations teams to understand business needs and translate them into technical solutions. Build intelligent automation pipelines using tools such as Python, OpenAI APIs, LangChain, and n8n. Apply Large Language Models (LLMs) to real-world challenges like email triage, document parsing, and data enrichment. Implement retrieval-augmented generation (RAG) to power internal AI assistants with trusted business knowledge. Rapidly … learning tools and techniques. What We’re Looking For: Demonstrable experience in a Data Scientist or AI Automation role. Hands-on expertise with natural language processing (NLP) and Large Language Models (LLMs). Experience using Python, OpenAI, LangChain, and vector databases. Familiarity with automation platforms like n8n, Zapier, or similar. Solid understanding of retrieval-augmented generation More ❯

and operations teams to understand business needs and translate them into technical solutions. Build intelligent automation pipelines using tools such as Python, OpenAI APIs, LangChain, and n8n. Apply Large Language Models (LLMs) to real-world challenges like email triage, document parsing, and data enrichment. Implement retrieval-augmented generation (RAG) to power internal AI assistants with trusted business knowledge. Rapidly … learning tools and techniques. What We’re Looking For: Demonstrable experience in a Data Scientist or AI Automation role. Hands-on expertise with natural language processing (NLP) and Large Language Models (LLMs). Experience using Python, OpenAI, LangChain, and vector databases. Familiarity with automation platforms like n8n, Zapier, or similar. Solid understanding of retrieval-augmented generation More ❯

and operations teams to understand business needs and translate them into technical solutions. Build intelligent automation pipelines using tools such as Python, OpenAI APIs, LangChain, and n8n. Apply Large Language Models (LLMs) to real-world challenges like email triage, document parsing, and data enrichment. Implement retrieval-augmented generation (RAG) to power internal AI assistants with trusted business knowledge. Rapidly … learning tools and techniques. What We’re Looking For: Demonstrable experience in a Data Scientist or AI Automation role. Hands-on expertise with natural language processing (NLP) and Large Language Models (LLMs). Experience using Python, OpenAI, LangChain, and vector databases. Familiarity with automation platforms like n8n, Zapier, or similar. Solid understanding of retrieval-augmented generation More ❯

optimizing AI-powered customer service solutions - Experience with AI/ML technologies in contact center applications, including Natural Language Understanding (NLU), Natural Language Processing (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 ❯

and operations teams to understand business needs and translate them into technical solutions. Build intelligent automation pipelines using tools such as Python, OpenAI APIs, LangChain, and n8n. Apply Large Language Models (LLMs) to real-world challenges like email triage, document parsing, and data enrichment. Implement retrieval-augmented generation (RAG) to power internal AI assistants with trusted business knowledge. Rapidly … techniques. Virtual job fairs What We’re Looking For: Demonstrable experience in a Data Scientist or AI Automation role. Hands-on expertise with natural language processing (NLP) and Large Language Models (LLMs). Experience using Python, OpenAI, LangChain, and vector databases. Familiarity with automation platforms like n8n, Zapier, or similar. Solid understanding of retrieval-augmented generation More ❯

degree in Computer Science, AI, Engineering, or a related field. · Extensive experience with Generative AI technologies, including large language models (LLMs) and natural language processing (NLP). · Familiarity with cloud platforms (AWS, Azure, GCP) and distributed systems. · Experience in both SaaS and enterprise environments. · Strong leadership skills with a track record of developing high-performing engineering More ❯

degree in Computer Science, AI, Engineering, or a related field. · Extensive experience with Generative AI technologies, including large language models (LLMs) and natural language processing (NLP). · Familiarity with cloud platforms (AWS, Azure, GCP) and distributed systems. · Experience in both SaaS and enterprise environments. · Strong leadership skills with a track record of developing high-performing engineering More ❯

data they need to conduct high quality research. Build models to turn raw clinical data into high quality research variables, drawing on your knowledge of LLMs, traditional ML, and NLP techniques to determine the right methods to use for a given problem. Work with quantitative scientists and oncologists to validate that your models can be used to generate sound scientific … Work cross-functionally with software engineers to productionize, scale, and monitor your models. Who You Are You're a product-focused data scientist, with experience in leveraging ML and NLP to solve real-world problems. You're excited by the prospect of rolling up your sleeves to tackle meaningful problems each and every day. You’re a kind, passionate and … and values the chance to make an important impact. You have 3+ years of relevant working experience in a technical capacity, with a focus on ML. Prior experience with NLP and LLMs is strongly preferred. You have a strong background in applying ML to solve real-world problems and a solid grasp of the underlying statistical fundamentals of ML. You More ❯

Signal is looking for a specialist in Information Retrieval, Natural Language Processing 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 … 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 … 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; natural language processing; 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 ❯

world-class data-led organisation that is continuously advancing with the latest AI trends? This company is an innovator in building data-driven products using machine learning, computer vision, natural language processing, speech and audio, and knowledge/data mining. The role involves being a senior engineer who will help define and build the company's AI … and organization. Requirements include: Experience in AI engineering, data science, or related fields with a focus on production deployment. Strong Python, SQL, and programming skills. Hands-on experience with NLP, LLMs, recommendation systems, information retrieval, GenAI (especially RAG systems). Familiarity with ML frameworks like PyTorch, scikit-learn. Experience across the full model lifecycle: experimentation, training, testing, monitoring, deployment. Good More ❯

PyTorch, Keras, Tensorflow Demonstrated experience with data visualization tools (i.e. Tableau, Pandas, D3.js, ggplot, etc) Demonstrated experience with NoSQL data stores such as MongoDB or DynamoDB Demonstrated experience using Natural Language Processing tools such as spaCy, NLTK, Stanford CoreNLP, or Gensim Natural Language Processing Demonstrated experience in Agile software development teams using scrum techniques More ❯

development practices, you will be involved in the entire software development lifecycle, building, testing and delivering high-quality solutions. Build Scalable ML Solutions: You will create large scale data processing pipelines to help researchers build and train novel machine learning algorithms. You will develop high performing scalable systems in the context of large online delivery environments. Be a Team … Have experience integrating Machine Learning solutions into production-grade software and have an understanding of ModelOps and MLOps principles Had previous exposure to Natural Language Processing (NLP) problems and have familiarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc. Can understand and translate between language and methodologies used both in … research and engineering fields Hands-on experience in other programming language/scripting language and development stack (Java, Rust, Scala, Typescript, etc.) What's in it For You? Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering More ❯

of production Python applications for machine learning and AI. Apply statistical analysis and machine learning techniques to extract insights from large datasets. Develop natural language processing (NLP) models to automate processes and enhance user experience. Utilize Azure DevOps for project management and CI/CD practices. Manage version control with Git and promote best practices in code More ❯

degree in Computer Science, AI, Engineering, or a related field. · Extensive experience with Generative AI technologies, including large language models (LLMs) and natural language processing (NLP). · Familiarity with cloud platforms (AWS, Azure, GCP) and distributed systems. · Experience in both SaaS and enterprise environments. · Strong leadership skills with a track record of developing high-performing engineering More ❯

edge tools. Tackling data quality challenges through expert analysis, cleansing, and standardization. Building automated data quality monitoring tools and processes. Collaborating across teams to identify exciting automation opportunities. Developing natural language processing solutions for document analysis and data extraction. Documenting data flows, structures, and processes to foster knowledge sharing. What We're Looking For: 2-3 years … Experience with Microsoft Fabric or Azure Synapse Analytics. Strong DAX skills in PowerBI. Knowledge of accounting or financial services data structures. Experience with API development and integration. Familiarity with natural language processing techniques. Understanding of data governance principles. Experience with Agile project methodologies. More ❯

class data-led organisation that is continuously advancing with the latest AI trends? This company is a true innovator in building data-driven products using machine learning, computer vision, natural language processing, speech and audio, and knowledge/data mining. The role involves being a senior engineer who will help define and build the company's AI … experience in data science, engineering, or machine learning with a focus on productionising and deploying AI models is key. Strong Python, SQL, and programming skills. Hands-on experience with NLP, LLMs, recommendation systems, Information Retrieval stacks, or GenAI (especially RAG systems). Familiarity with ML frameworks like PyTorch and scikit-learn. Experience across the full model lifecycle: experimentation, training, testing More ❯

experience in data science in a commercial environment. Good programming skills in Python. Experience in building and evaluating machine learning models. Experience with Natural Language Processing (NLP) techniques. Experience working with real-world datasets. Solid understanding of fundamental concepts of data science. Experience working with Numpy and PyTorch. Experience working with cloud environments is not essential, but More ❯

value individuals who are self-motivated and take pride in delivering exceptional work within a fast-paced and dynamic environment. Responsibilities: Transform ground breaking research into practical and efficient processing solutions for optimized performance Conduct codebase review, identifying areas for improvement and performing code refactoring to enhance cleanliness and maintainability. Evaluate data storage and management practices, identifying inefficiencies or … Proficient in Python, C++ Experience with distributed systems and parallel computing Familiarity with embedded systems development Experience with workload orchestration tools (Databricks, Kubeflow, Airflow, etc.) Familiarity with unstructured data processing (video, audio, ffmpeg) Experience working with model registries and model version control Strong understanding of REST API design patterns Proficiency in working with data manipulation libraries (e.g., Pandas, NumPy … to work effectively in a team environment Strong problem-solving and debugging skills Understanding of software security principles and standard processes Experience with natural language processing (NLP) techniques Familiarity with video processing, Experience with NVIDIA CUDA, waveglow, ROCm Experience with Github/Gitlab, CDK, HelmCharts, ArgoCD Experience with Docker Knowledge of Linux Nice to have: Experience More ❯

Job Description Senior AI Engineer - Python, AWS, NLP | £100,000 - £130,000 | Remote (UK-Based) 167 Solutions Ltd is hiring on behalf of a global organisation at the forefront of artificial intelligence innovation. We are seeking a highly skilled Senior AI Engineer with expertise in Python, AWS, Natural Processing (NLP), and advanced AI technologies to contribute to the … problem-solving skills, and the ability to work collaboratively within a global AI-focused team. Key Responsibilities Develop and optimise AI and machine learning models, with a focus on NLP and Generative AI . Design, implement, and deploy scalable AI solutions using AWS services , including Athena, SageMaker, and Lambda. Work with LLMs and Open-Source AI frameworks , ensuring model efficiency … AI models for real-world implementation. Candidate Requirements Strong Python programming skills, with experience in AI/ML frameworks such as TensorFlow, PyTorch, and Hugging Face. Extensive experience in NLP and Generative AI , including working with large-scale models. Proficiency in AWS cloud computing , including Athena, SageMaker, and related AI/ML services. Experience in AI model optimisation, fine-tuning More ❯

learning and AI. Drive the application of statistical analysis and machine learning techniques to derive insights from large datasets. Guide the development of natural language processing (NLP) models to enhance user experience and automate processes. Utilize Azure DevOps for project management and CI/CD practices, ensuring efficient delivery of projects. Manage version control using Git and More ❯

Extensive hands-on proficiency with leading AI frameworks including PyTorch, TensorFlow, or Hugging Face libraries alongside advanced Python programming skills. Applied expertise in natural language processing (NLP), generative AI models, or reinforcement learning methodologies is highly desirable. Exceptional communication abilities enabling you to explain intricate technical concepts effectively to both technical peers and non-technical stakeholders alike. More ❯

about to complete a Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, or related fields at time of application • Knowledge of Computer Science fundamentals • Experience with Natural Language Processing, Computer Vision, or Deep Learning PREFERRED QUALIFICATIONS • Previous technical internship(s) if applicable • Experience with distributed, multi-tiered systems, algorithms, and relational databases • Experience such … linear programming and nonlinear optimisation • Ability to effectively articulate technical challenges and solutions • Adept at handling ambiguous or undefined problems as well as ability to think abstractly • Experience with Natural Language Processing: Java or Python, and ML, AI, Labeling, Annotation, Data Pipeline, Big Data, AWS, or Cloud Services • Experience with Computer Vision: Kernel, Hardware Accelerator, TVM, or More ❯

sexual orientation, gender identity and expression, national origin, disability, genetic information, veteran status, or any other protected characteristic or class Responsibilities include training, hosting, and the optimization of large language model instances within our computing environment Requirements Degree in computer science, artificial intelligence, or a related field 12+ years of experience in software engineering, with a focus on machine … learning or natural language processing Strong expertise in deep learning frameworks such as tensorFlow, pyTorch, or MXNet Proficiency in programming languages such as python, C++, or java Solid understanding of LLM architectures, training techniques, and evaluation methodologies Familiarity with cloud platforms (e.g., AWS, GCP) and their machine learning services Knowledge of software engineering best practices, including version More ❯

learning and AI. Drive the application of statistical analysis and machine learning techniques to derive insights from large datasets. Guide the development of natural language processing (NLP) models to enhance user experience and automate processes. Utilize Azure DevOps for project management and CI/CD practices, ensuring efficient delivery of projects. Manage version control using Git and More ❯

longer lives. They are looking for a GenAI Engineer to join their team in London. In this role, you will design, build, and optimise RAG pipelines that combine large language models (LLMs) with domain-specific retrieval systems, enabling natural language understanding and reasoning over patient data, clinical guidelines, and health records. As a GenAI Engineer, your work … GenAI and health tech applications of LLMs. What you bring: As the ideal candidate for the GenAI Engineer role, you bring a wealth of experience in machine learning and NLP roles. Your strong proficiency in Python, deep learning frameworks such as PyTorch or TensorFlow, and GenAI libraries will be essential to your success in this role. You have hands-on … an understanding of HIPAA/GDPR compliance. Your strong problem-solving skills will be invaluable in our fast-paced environment. 3+ years of experience working in machine learning/NLP roles. Strong proficiency in Python, deep learning frameworks (PyTorch or TensorFlow), and GenAI libraries. Hands-on experience with vector search, embedding models, and retrieval pipelines. Familiarity with prompt engineering, prompt More ❯