1 to 25 of 406 Remote Permanent Natural Language Processing Jobs

pipelines (e.g., DevOps pipelines, Git actions). Knowledge of infrastructure as code (e.g., Terraform, ARM Template, Databricks Asset Bundles). Understanding of advanced machine learning techniques, including graph-based processing, computer vision, natural language processing, and simulation modeling. Experience with generative AI and LLMs, such as LLamaIndex and LangChain Understanding of MLOps or LLMOps. Familiarity with More ❯

Senior Data Scientist (Natural Language Processing) Total Remuneration: £57,879 to £68,146 Pay Supplement: The base salary for this role is £46,677 - £54,957 This job qualifies for Digital, Data and Technology Annual Pay supplement of 24% which is included in the total remuneration above. Pension: 28.97% of base salary (RoS contribution) Annual Leave … Digital Humanities (e.g. Computational Linguistics, Data Science, Computer Science or a related field), or equivalent experience. Broad knowledge of data science tools and approaches, with in-depth knowledge of language processing techniques. Strong analytical skills and experience with ability to critically select, combine and apply a range of scientific methods. Expert understanding and application of Natural Language Processing techniques. Experience of text mining, data annotation and model development. Awareness of Data and AI Governance considerations - ethics, transparency and explainability, licensing and regulation. Commercial awareness and awareness of product delivery life cycle (within an Agile delivery context). Competencies At application stage, you will be scored against the bolded Competencies and against the remaining all Competencies More ❯

on experience in developing and implementing AI and Data cloud solutions. Experience working with Azure AI services (or AWS, GCP) and AI model deployment. Understanding of generative AI, LLMs, NLP, and machine learning frameworks (TensorFlow, PyTorch, Hugging Face, etc.). Understanding of the AI application lifecycle, including application prototyping, productionising and monitoring. Python/Go/R. Problem solving skills. More ❯

or applied AI solutions. • A passion for Generative AI, and an understanding of strengths and weaknesses of Generative LLM's • Fundamental knowledge of ML, and basic knowledge of AI, NLP, and Large Language Models (LLM) • Comfortable working with Python and Jupyter Notebooks • Should have in-depth knowledge and familiarity with cloud platforms like Amazon Web Services (AWS), Google Cloud … Platform (GCP), and Microsoft Azure. Technical Skills – Good to have: • Expertise in any one framework (TensorFlow, Pytorch, Keras) • Experience in a statistical programming language (e.g. R or Python) and applied machine learning and AI techniques (i.e computer vision, deep learning, conversational AI, and natural language processing frameworks.) • Experience with Transforms Architecture Design, specializing LLM (Zero/… in conversational system architecture • Extensive knowledge on API’s & Integrations, Patterns. • Extensive knowledge of big data technologies • Knowledge on Statistical Methods • OTHER SKILLS WE'D APPRECIATE 1. Understanding of NLP engines, Artificial Intelligence, Machine Learning frameworks etc. EDUCATION QUALIFICATION • Graduate in Engineering OR master’s in computer applications. Process Skills: • General SDLC processes • Understanding of utilizing Agile and Scrum software More ❯

datasets, deployment dates, and usage guidelines-promoting robust governance and transparency. Perform and guide model retraining, performance monitoring, and updates for complex production models (e.g., time series, anomaly detection, natural language processing, LLM-based text summarization), proactively addressing performance gaps. Collaborate closely with domain experts to capture critical business requirements, and lead efforts to gather, transform, and … prepare data for model training and deployment. Evaluate, implement, and refine state-of-the-art algorithms-including foundational language models, object detection/classification, and time series analysis-to tackle advanced enterprise challenges. Ensure strict adherence to enterprise standards for metadata management, governance, and security, integrating policy-as-code and compliance checks into the model lifecycle. Architect and refine … IAT Level II Certification may be required (GSEC, GICSP, CND, CySA+, Security+ CE, SSCP or CCNA-Security). Advanced proficiency in Python, SQL, PySpark, MLOps, computer vision, and NLP, Databricks, AWS, Data Connections Cluster Training and tools such as GitLab, with proven success in architecting complex AI/ML pipelines. Demonstrated ability to write clean, efficient code in Python and More ❯

platforms like Tableau or Power BI. Understanding of machine learning concepts and algorithms (e.g. classification, clustering, regression). Interest in or experience with Natural Language Processing (NLP), Natural Language Generation (NLG), or Computer Vision. Awareness of enterprise graph technologies or network analysis techniques. Experience with cloud platforms like Microsoft Azure or Google Cloud Platform (GCP More ❯

Problem-Solving Skills. Attention to Detail. Adaptability and Communication Skills. Patience and Persistence. Experience with advanced machine learning techniques such as deep learning, natural language processing (NLP), or reinforcement learning. Experience in using advanced features of cloud platforms (AWS, Azure, Google Cloud) such as machine learning services and automated data pipeline tools. Familiarity with big data frameworks More ❯

business challenges and opportunities for AI-driven solutions. Design, develop, and deploy AI models and algorithms tailored to client needs. Provide technical expertise in AI technologies, including machine learning, natural language processing, and computer vision. Conduct data analysis and pre-processing to prepare datasets for AI model training. Implement AI models into production environments and optimize More ❯

strategies and maximize their marketing towards optimal growth. In this role, you will be responsible for combining these otherwise disconnected datasets, and with the help of advanced machine learning, NLP & Computer Vision techniques, help uncover new consumer insights allowing our clients to gain knowledge and insights on consumer behaviour. You will play a key role in standardizing our AI into … of some recognised AI and software leaders. · Experience in working with large datasets (> 1TB) · Able to implement production level coding practices, including unit testing and documentation · Proven experience building NLP & Computer Vision products with an engaged customer base · Experience researching and implementing latest scientific literature on NLP/CV and ML · Experience building prototypes and experiments to validate technical ideas … Extensive knowledge of open-source NLP & CV libraries · Skilled at explaining the technical subject matter to non-technical audiences (in English) · Nice to have: Experience working on an agile software engineering team and working directly with Product Management teams; Azure Databricks, Microsoft Azure certification, Azure AI Fundamentals, Azure Data Scientist Associate Preferred Skills/Experience: · Demonstrates strong interpersonal, communication, and More ❯

strategies and maximize their marketing towards optimal growth. In this role, you will be responsible for combining these otherwise disconnected datasets, and with the help of advanced machine learning, NLP & Computer Vision techniques, help uncover new consumer insights allowing our clients to gain knowledge and insights on consumer behaviour. You will play a key role in standardizing our AI into … of some recognised AI and software leaders. · Experience in working with large datasets (> 1TB) · Able to implement production level coding practices, including unit testing and documentation · Proven experience building NLP & Computer Vision products with an engaged customer base · Experience researching and implementing latest scientific literature on NLP/CV and ML · Experience building prototypes and experiments to validate technical ideas … Extensive knowledge of open-source NLP & CV libraries · Skilled at explaining the technical subject matter to non-technical audiences (in English) · Nice to have: Experience working on an agile software engineering team and working directly with Product Management teams; Azure Databricks, Microsoft Azure certification, Azure AI Fundamentals, Azure Data Scientist Associate Preferred Skills/Experience: · Demonstrates strong interpersonal, communication, and More ❯

foundations of Machine Learning algorithms Proficient in Python Have a deep knowledge of a sufficiently broad area of technical specialism (e.g. Time Series, Combinatorial Optimisation, Reinforcement Learning, Bayesian Statistics, NLP etc.) Good knowledge in mining large & complex data sets using SQL and Spark. Preferred Will be curious, enjoy problem solving and have empathy for the problems you are challenged with More ❯

data science to provide insight into the nature and structure of our data and content, both published content and internal data sets, and lead on developing models to improve processing, access, understanding and use of that data. Working closely with the Subject Matter Experts, Product Managers, Software Engineers and Product Designers, you will play a key role in improving … and line of business data and information. This will require working with structured and unstructured data, a large corpus of scholarly articles, using programmatic techniques such as statistical analysis, natural language processing, information retrieval, and machine learning. You will also work with the rest of the team to turn your insights and software prototypes into production services … and SQL, and data analysis libraries (e.g., Pandas, NumPy, SciPy, Tidyverse). Strong knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn, NLTK). Experience with NLP techniques, such as named entity recognition (NER), topic modeling, semantic similarity, and knowledge graph construction. Demonstrated ability to communicate complex technical findings clearly and effectively, both verbally and in writing More ❯

Qualifications: 4+ years of hands-on experience in AI/ML model development, including supervised and unsupervised learning, with a strong focus on Natural Language Processing (NLP) for unstructured data. 5+ years of proficiency in at least one analytical/statistical programming language (e.g., Python, R, Scala, Closure). 2+ years of experience manipulating and processing More ❯

us is a desire to learn, a mastery of our discipline, strong mathematical and statistical skills, and software engineering prowess. We typically specialise in fields such as Computer Vision, Natural Language Processing and Deep Learning. Our Data Scientists are responsible for all aspects of the AI lifecycle, from understanding business problems, preparing training data, designing and building … You write production-grade, scalable Python code, ensuring that your models are robust, maintainable, and optimised for performance. Comfortable with PyTorch Knowledge of Transformer-based models Knowledge of Large Language Models (LLMs) Proven experience of having delivered successful Computer Vision or LLM projects into production Strong understanding of software development fundamentals, in particular deploying models to production and how … to set up pipelines. Demonstrate expertise in deep learning for computer vision, natural language processing, reinforcement learning etc. Displays in depth knowledge in machine learning best practices, scalable training and deployment, model introspection and evaluation Strong fundamentals in Mathematics, Statistics and Data Analysis Experience working in an Agile environment and knowledge of how Agile methodologies can be More ❯

team has grown to 75+ data scientists and engineers. Working collaboratively, the team is multi-disciplinary with the following skills and capabilities: machine learning, optimization, statistical modeling, signal detection, natural language processing, data visualization, generative AI, network/graph modeling, ETL, data pipelines, data architecture, ML engineering, communication, product management and strategy. We work with data from … deliverables Participate in team agile processes, and proactively contribute to team culture The minimum requirements for this position are: 4+ year experience shipping code to production environments Strong programming language skills in Python and SQL Experience building cloud native applications Great problem-solving and communication skills Knowledge and experience we are looking for includes: DevOps automation, idempotent deployment testing More ❯

projects working alongside high-performing ML, data, and software engineers using agile software development Demonstrable ML proficiency with a deep understanding of how to utilize state-of-the-art NLP and ML techniques Mastery of several ML frameworks and libraries, with the ability to architect complex ML systems from scratch Extensive experience with Python and PyTorch Track record of contributing … development lifecycle from architecture and technical design, through data collection and preparation, model selection, training, fine-tuning and evaluation, to deployment and maintenance Familiarity with implementing solutions leveraging Large Language Models, as well as a deep understanding of how to implement solutions using Retrieval Augmented Generation (RAG) architecture Experience with graph machine learning (i.e. graph neural networks, graph data … eye for details such as scalability and performance of a potential solution Comprehensive knowledge of software engineering, programming fundamentals and industry experience using Python Experience with data manipulation and processing, such as SQL, Cypher or Pandas A can-do proactive and assertive attitude - your manager believes in freedom and responsibility and helping you own what you do; you will More ❯

team has grown to 30+ data scientists and data engineers. Working collaboratively, the team is multi-disciplinary with the following skills and capabilities: machine learning, statistical modeling, signal detection, natural language processing, data visualization, network/graph modeling, ETL, data pipelines, data architecture, communication, product management and strategy. We work with data from a wide variety of More ❯

/ML models, leveraging statistical techniques, machine learning, and deep learning to extract actionable insights. This role requires strong expertise in Python-based AI/ML development, big data processing, and cloud-based AI platforms (Databricks, Azure ML, AWS SageMaker, GCP Vertex AI). Key Responsibilities Data Exploration & Feature Engineering Perform thorough Exploratory Data Analysis (EDA) and identify key … optimal model performance, leveraging domain understanding. Machine Learning & Statistical Modelling Implement both classical ML methods (regression, clustering, time-series forecasting) and advanced algorithms (XGBoost, LightGBM). Address computer vision, NLP, and generative tasks using PyTorch, TensorFlow, or Transformer-based models. Model Deployment & MLOps Integrate CI/CD pipelines for ML models using platforms like MLflow, Kubeflow, or SageMaker Pipelines. Monitor More ❯

Collaborate with clients to understand their business needs and translate them into technical requirements Design, develop, and deploy machine learning and generative AI models, including but not limited to NLP models, computer vision models, and reinforcement learning systems Conduct research and stay updated on the latest advancements in AI and machine learning technologies, particularly in generative models such as GANs More ❯

Description What We're Looking For: We are looking for a passionate Data Scientist specializing in Natural Language Processing (NLP) and Machine Learning (ML) to contribute to Data Enrichment efforts within Meltwater. As a part of this role, you will work with experienced team members and product managers to design, test, and implement machine learning solutions. Through … real-time processing of unstructured data. Collaborate with senior team members to analyze the impact of algorithm changes. Learn and grow under mentorship, gaining exposure to industry-standard NLP tools and techniques. What You'll Bring: Bachelor's Degree in Computer Science or a related field, with 2-4 years working experience OR a Master's Degree in Computer … years working experience. Programming Language: Proficiency in Python. Solid understanding of data structures and algorithms. Proficient in Machine Learning, including understanding Neural Networks and foundational concepts of NLP tasks such as Tokenization, Named Entity Recognition (NER), Sentiment Analysis, Part-of-Speech (POS) Analysis. Experience or coursework in Deep Learning frameworks like TensorFlow or PyTorch. Strong problem-solving skills and More ❯

numpy, scipy, pandas, scikit-learn, matplotlib etc.) Deep Learning frameworks (TensorFlow, PyTorch, MLX) Popular classification and regression techniques Unsupervised learning & matrix factorisation algorithms Natural Language Processing (NLP) and document processing Generative AI (open and closed source) - LLM, RAG, Fine Tuning Performing model selection and evaluation Knowledge of cloud (AWS/Azure/GCP) Business skills Working More ❯

projects working alongside high-performing ML, data, and software engineers using agile software development Demonstrable ML proficiency with a deep understanding of how to utilize state-of-the-art NLP and ML techniques Mastery of several ML frameworks and libraries, with the ability to architect complex ML systems from scratch Extensive experience with Python and PyTorch Track record of contributing … development lifecycle from architecture and technical design, through data collection and preparation, model selection, training, fine-tuning and evaluation, to deployment and maintenance Familiarity with implementing solutions leveraging Large Language Models, as well as a deep understanding of how to implement solutions using Retrieval Augmented Generation (RAG) architecture Experience with graph machine learning (i.e. graph neural networks, graph data … eye for details such as scalability and performance of a potential solution Comprehensive knowledge of software engineering, programming fundamentals and industry experience using Python Experience with data manipulation and processing, such as SQL, Cypher or Pandas A can-do proactive and assertive attitude - your manager believes in freedom and responsibility and helping you own what you do; you will More ❯

We are seeking an experienced AI Developer with a strong background in Large Language Models (LLMs) to join our AI team. The ideal candidate will have expertise in retraining and fine-tuning LLMs using proprietary datasets to build a conversational chat bot. Tasks Key Responsibilities: Model Development: Retrain and fine-tune existing Large Language Models (LLMs) using proprietary … into production environments, ensuring robust and scalable AI solutions. Requirements Qualifications: Experience: 3-5 years of experience in AI/ML development, with a focus on working with Large Language Models (e.g., GPT, BERT, Hugging Face, etc.). Education: Bachelor's or Master's degree in Computer … Science, Artificial Intelligence, Data Science, or a related field (or equivalent experience). Technical Skills: Proficiency in Python and deep learning frameworks (e.g., TensorFlow, PyTorch). Strong understanding of NLP techniques, including tokenization, embeddings, transformers, and attention mechanisms. Experience in retraining and fine-tuning LLMs using large-scale datasets. Familiarity with cloud platforms like AWS, Google Cloud, or Azure for More ❯

talk with your recruiter to learn more. Base pay range $15.00/hr - $20.00/hr We are seeking an experienced AI Developer with a strong background in Large Language Models (LLMs) to join our AI team. The ideal candidate will have expertise in retraining and fine-tuning LLMs using proprietary datasets to build a conversational chat bot. We … are seeking an experienced AI Developer with a strong background in Large Language Models (LLMs) to join our AI team. The ideal candidate will have expertise in retraining and fine-tuning LLMs using proprietary datasets to build a conversational chat bot. Tasks Key Responsibilities: Model Development: Retrain and fine-tune existing Large Language Models (LLMs) using proprietary datasets … Science, Artificial Intelligence, Data Science, or a related field (or equivalent experience). Technical Skills: Proficiency in Python and deep learning frameworks (e.g., TensorFlow, PyTorch). Strong understanding of NLP techniques, including tokenization, embeddings, transformers, and attention mechanisms. Experience in retraining and fine-tuning LLMs using large-scale datasets. Familiarity with cloud platforms like AWS, Google Cloud, or Azure for More ❯

for data products and track their performance Conduct and contribute to user testing and gather feedback to continuously improve product features Stay current with industry trends in AI, ML, NLP, and PAI/OSINT capabilities Act as the product owner in an agile environment, making prioritization decisions and managing the backlog Communicate product vision, strategy, and progress to leadership, other … of & experience in user research methodologies You get bonus points if you have any of the following: Technical background in data science, machine learning, or software development Experience with NLP technologies, information retrieval, or search systems Knowledge of OSINT or PAI methodologies and tools Familiarity with cloud platforms (AWS, Azure, or GCP) and their ML/AI services Experience with … large language models and generative AI technologies Background in leading cross-functional teams in a matrix organization Understanding of data privacy regulations and security considerations Experience with data visualization tools and best practices Knowledge of graph databases and network analysis for relationship mapping Experience with international product development and multicultural teams What we offer: The opportunity to join a More ❯