226 to 250 of 1,074 Permanent Natural Language Processing Jobs

re looking for candidates with strong experience in Computational Linguistics to help build and refine intelligent language technologies, combining linguistic expertise with technical skills to drive innovation in NLP and AI applications. Our client uses behavioural biometric interactions and advanced AI to create unique digital user identities, enabling seamless, intelligent security systems that adapt in real time. With ambitious More ❯

CI/CD pipelines, and containerization tools (e.g., Docker) Familiarity with data integration and management from multiple sources in a distributed system environment Proficiency in at least one programming language (Python, Java, Go), and experience with scripting for automation Strong understanding of network infrastructure and security principles, ensuring compliance with data protection regulations A Bonus: Proficient in database management … and vector databases, including setup, scaling, and optimization for performance and reliability Experience deploying and running Machine Learning Solutions, including LLMs Benefits Competitive salary Opportunities to work on groundbreaking NLP & AI-related projects Remote working (Remote must be within 4-5 hours of CET timezone More ❯

advanced language model available in the industry and revolutionize how companies interact with AI. We’re looking for a creative problem solver who has a deep understanding of NLP and ML technologies and who can help us create powerful and meaningful applications of AI. As an AI Engineer at Writer, you'll play a pivotal role in developing and More ❯

re looking for candidates with strong experience in Computational Linguistics to help build and refine intelligent language technologies, combining linguistic expertise with technical skills to drive innovation in NLP and AI applications. Our client uses behavioural biometric interactions and advanced AI to create unique digital user identities, enabling seamless, intelligent security systems that adapt in real time. With ambitious More ❯

non-members Validity: 3 years Google Certified Professional Data Engineer The Google Certified Professional Data Engineer certification proves one's skills in developing and designing Google Cloud Platform data processing systems. The candidates should have knowledge of data engineering and the practical usage of Google Cloud products. No formal qualifications are explicitly stated but applicants are expected to have … years The Azure Data Scientist Associate certification verifies abilities in implementing and operating machine learning solutions on Azure technologies. The exam is designed to check proficiency in ML, NLP and computer vision. It also shows how Azure's vast toolbox and services may lead to the development of scalable and successful machine learning systems. One should have enough knowledge and More ❯

of tomorrow. Job Description As a Senior Machine Learning Engineer specialising in Large Language Models (LLMs), you will play a critical role in harnessing the power of advanced NLP technologies to drive innovation and efficiency across our enterprise. As part of Checkout.com’s AI centre of excellence, you will lead LLM-based solutions' design, development, and deployment, collaborating with More ❯

in either a professional data 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 timeframe An excellent command of … statistics A solid grasp of 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 needed as a fundamental skill More ❯

advanced language model available in the industry and revolutionize how companies interact with AI. We’re looking for a creative problem solver who has a deep understanding of NLP and ML technologies and who can help us create powerful and meaningful applications of AI. As an AI Engineer at Writer, you'll play a pivotal role in developing and More ❯

an organisation that encourages continuous personal development, and are keen to talk with good candidates Desirable but not essential Demonstrable interest in Artificial Intelligence, Machine Learning, Deep Learning, or Natural Language Processing.Some hands-on experience with AI concepts, libraries, or frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers, Keras, etc.) Familiarity with Python for AI/ML More ❯

and build scalable, fault-tolerant backend services that support real-time AI experiences across Axon devices, mobile apps, and web interfaces. Collaborate with Applied AI teams to integrate large language models and related services into production systems - with a focus on latency, reliability, and observability. Contribute to and lead architecture discussions , including model orchestration, caching strategies, data storage patterns … and performance optimization. Experience with both SQL and NoSQL data stores , caching layers, and observability tooling (e.g., Prometheus, Datadog). Nice to have: Experience deploying or integrating LLMs or NLP models in production systems. Comfortable balancing short-term execution with long-term architectural thinking . Passion for building highly-available systems that power mission-critical experiences. Interest in or exposure More ❯

you to help take the reins of a groundbreaking project at Medpace. We are currently seeking a professional with direct experience interacting with artificial intelligence (AI) tools such as NLP, LLM, IA etc. This professional will be expected to lead the programming and fine-tuning of various AI tools and help IT teams to implement them into new applications. This … support programming and fine-tuning of various AI tools with the IT team to implement them into new applications; Lead the identification and development of AI tools such as NLP, LLM, and IA; Design, develop, and implement artificial intelligence (AI) models and algorithms for various applications; Work on a broad set of tasks encompassing various forms of machine intelligence (e.g. … field; Preferably several years of experience working with different AI capabilities and showcasing your passion both at work and outside work in the development of highly complex AI models (NLP, LLMs, Deep learning etc); Technical proficiency in programming languages and frameworks commonly used in NLP and AI (e.g., Python, TensorFlow, PyTorch); Excellent communication skills to collaborate effectively with cross-functional More ❯

it to form the hypothesis and validate it using data. • Conducting a thorough analysis of large datasets to identify patterns, trends, and insights that can inform the development of NLP applications. • Developing and implementing machine learning models and deep learning architectures to improve NLP systems. • Collaborate with seasoned Applied Scientists and propose best in class LLM solutions for business requirements … and verbal communication skills - • Ability to collaborate effectively across multiple teams and stakeholders, including development teams, product management and operations. PREFERRED QUALIFICATIONS - • Master's degree with specialization in ML, NLP or Computer Vision preferred - • 3+ years relevant work experience in a related field/s (project management, customer advocate, product owner, engineering, business analysis) - • Diverse experience will be favored eg. More ❯

multi-modal understanding (text and visual), supervised and unsupervised techniques, multi-task learning, multi-label classification, aspect and topic extraction for Customer Anecdote Mining, product similarity, using GenAI, LLMs, NLP and Computer Vision. Key job responsibilities As an Applied Science Manager, you will be responsible to design and deploy scalable GenAI, NLP and Computer Vision solutions that will impact the More ❯

consistency tradeoffs. Proven Knowledge of cloud platforms (e.g., AWS, Azure, or GCP). A bonus Experience with graph databases such as neo4js, pinecone or milvious or similar. Experience with NLP libraries and frameworks, such as spaCy, or Transformers. Familiarity with machine learning concepts and the ability to work with NLP dataset. Join a pioneering joint venture at the intersection of More ❯

Experience with version control (Git), CI/CD pipelines, and software engineering best practices. Fluent in English; knowledge of French or Dutch is a plus. Desirable Qualifications Experience in NLP, computer vision, time-series, or recommender systems. Knowledge of data privacy and ethical AI frameworks (e.g., GDPR compliance). Experience with big data frameworks (Spark, Hadoop). Previous experience working More ❯

in Python and machine learning are critical to this role as well as exposure to the data lifecycle. The role will include: Building, integrating, testing and scaling models including NLP and Computer Vision Take ownership of developing, training and productionising machine learning lifecycles, adhering to best practices, security needs and quality assurance Development of neural networks Implementing and maintaining MLops … Proven track record of successfully completing AI projects that deliver tangible business results Experienced writing production level code Experience developing neural networks into production Experience with Docker Experience with NLP and/or computer vision Exposure to cloud technologies (eg. AWS and Azure) Exposure to Big data technologies Exposure to Apache products eg. Hive, Spark, Hadoop, NiFi Programming experience in More ❯

in Python and machine learning are critical to this role as well as exposure to the data lifecycle. The role will include: Building, integrating, testing and scaling models including NLP and Computer Vision Take ownership of developing, training and productionising machine learning lifecycles, adhering to best practices, security needs and quality assurance Development of neural networks Implementing and maintaining MLops … Proven track record of successfully completing AI projects that deliver tangible business results Experienced writing production level code Experience developing neural networks into production Experience with Docker Experience with NLP and/or computer vision Exposure to cloud technologies (eg. AWS and Azure) Exposure to Big data technologies Exposure to Apache products eg. Hive, Spark, Hadoop, NiFi Programming experience in More ❯

in Python and machine learning are critical to this role as well as exposure to the data lifecycle. The role will include: Building, integrating, testing and scaling models including NLP and Computer Vision Take ownership of developing, training and productionising machine learning lifecycles, adhering to best practices, security needs and quality assurance Development of neural networks Implementing and maintaining MLops … Proven track record of successfully completing AI projects that deliver tangible business results Experienced writing production level code Experience developing neural networks into production Experience with Docker Experience with NLP and/or computer vision Exposure to cloud technologies (eg. AWS and Azure) Exposure to Big data technologies Exposure to Apache products eg. Hive, Spark, Hadoop, NiFi Programming experience in More ❯

French or Dutch is an advantage. Preferred Qualifications MSc or PhD in Computer Science, AI, Machine Learning, or a related field. Experience with MLOps tools and workflows. Knowledge of NLP, computer vision, or reinforcement learning is a bonus. Previous freelance or consulting experience is a plus. What We Offer More ❯

. Strong leadership skills with experience mentoring and managing data science teams. Deep knowledge of media measurement techniques, such as media mix modelling. Experience with advanced AI techniques, including NLP, GenAI, and CausalAI. Familiarity with MLFlow, API design (FastAPI), and dashboard building (Dash). If this role looks of interest, reach out to Joseph Gregory #J-18808-Ljbffr More ❯

. Strong leadership skills with experience mentoring and managing data science teams. Deep knowledge of media measurement techniques, such as media mix modelling. Experience with advanced AI techniques, including NLP, GenAI, and CausalAI. Familiarity with MLFlow, API design (FastAPI), and dashboard building (Dash). If this role looks of interest, reach out to Joseph Gregory More ❯

. Strong leadership skills with experience mentoring and managing data science teams. Deep knowledge of media measurement techniques, such as media mix modelling. Experience with advanced AI techniques, including NLP, GenAI, and CausalAI. Familiarity with MLFlow, API design (FastAPI), and dashboard building (Dash). If this role looks of interest, reach out to Joseph Gregory More ❯

Looking For MSc/PhD in Data Science, Computer Science, Maths or similar. Hands on experience in data science or AI, including leadership roles. Deep expertise in machine learning, NLP, and predictive modelling. Proficient in Python or R, cloud platforms (AWS, GCP, Azure), and big data tools (e.g. Spark). Strong business acumen, communication skills, and stakeholder engagement. If this More ❯

Looking For MSc/PhD in Data Science, Computer Science, Maths or similar. Hands on experience in data science or AI, including leadership roles. Deep expertise in machine learning, NLP, and predictive modelling. Proficient in Python or R, cloud platforms (AWS, GCP, Azure), and big data tools (e.g. Spark). Strong business acumen, communication skills, and stakeholder engagement. If this More ❯

Looking For MSc/PhD in Data Science, Computer Science, Maths or similar. Hands on experience in data science or AI, including leadership roles. Deep expertise in machine learning, NLP, and predictive modelling. Proficient in Python or R, cloud platforms (AWS, GCP, Azure), and big data tools (e.g. Spark). Strong business acumen, communication skills, and stakeholder engagement. If this More ❯