251 to 275 of 473 Permanent Natural Language Processing Jobs

SaaS platforms . Strong understanding of Voice of the Customer, feedback systems, and customer experience analytics . Experience working with AI/ML, NLP, or data visualization products is a strong plus. Proven ability to turn customer insights into clear, measurable product outcomes. Excellent communication and stakeholder management skills; comfortable ...

e.g. SQL/no-SQL, Kubernetes (or similar containerised environments), etc. Ability to self-organise and work independently. Nice to haves Experience working with NLP/LLMs or other AI/ML. An ML, statistics, or mathematics background or experience. Major work on infrastructure-heavy projects, such as complex data ...

business impact Ability to write production-quality Python code, with a willingness to stay somewhat hands-on Nice to have: domain knowledge of NLP, including evaluating LLM systems and fine-tuning LLMs or other transformer models Nice to have: a strong ability to communicate findings to non-technical stakeholders concisely ...

iterate through Python scripts to run data science analyses. Foundational ML knowledge: A good understanding of foundational data science concepts (e.g., statistics, clustering, basic NLP workflows). You do not need experience deploying ML models to production, but you should understand how to apply them to data tasks. Analytical Mindset ...

product use. Develop, compare and validate appropriate statistical and machine-learning models for classification, ranking, recommendation, forecasting, anomaly detection, similarity or extraction problems. Use NLP, embeddings and LLM-assisted techniques responsibly for classification, entity resolution, information extraction, clustering and relationship discovery across document-heavy data. Publish curated datasets, features ...

Scientific thinking skills Track record shipping ML products PhD or other experience in a research environment Deep experience in an applicable ML area - E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering Strong stats or math background At Fin, we want to give people what they need ...

with leading contact center technology platforms and applications, such as Amazon Connect, Avaya, Cisco, Genesys, NICE InContact, Salesforce, etc. 2+ years designing and implementing NLP/NLU (IVR or chat) solutions using at least one major conversational AI framework (e.g., Rasa, Dialogflow, Lex, or Azure Bot Service) at enterprise scale ...

Microsoft, Oracle, or similar platforms. Background in change management, organizational design, or enterprise transformation Experience with AI/ML concepts beyond LLMs, including NLP, RAG architectures, and model evaluation frameworks A get-things-done mindset with strong bias for action — comfortable operating in unstructured fast moving environments ...

with leading contact center technology platforms and applications, such as Amazon Connect, Avaya, Cisco, Genesys, NICE InContact, Salesforce, etc. 2+ years designing and implementing NLP/NLU (IVR or chat) solutions using at least one major conversational AI framework (e.g., Rasa, Dialogflow, Lex, or Azure Bot Service) at enterprise scale ...

experience with Generative AI and Large Language Models. Experience with OpenAI, Azure OpenAI, Anthropic Claude, Gemini, or similar AI platforms. Strong understanding of NLP, Machine Learning, Deep Learning, and Information Retrieval concepts. Experience building RAG-based applications and vector search solutions. Knowledge of embeddings, semantic search, and vector databases. ...

management.** *Experience of leading teams following agile principles.** *Expert knowledge of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to propose research beyond existing literature.** *Experience of training and developing AI models including Large Language Models. ...

management.** *Experience of leading teams following agile principles.** *Expert knowledge of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to propose research beyond existing literature.** *Experience of training and developing AI models including Large Language Models. ...

management. Experience of leading teams following agile principles. Expert knowledge of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to propose research beyond existing literature. Experience of training and developing AI models including Large Language Models. ...

Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, or Java-based ML libraries) Strong problem-solving and communication skills Preferred Qualifications Experience with NLP, computer vision, or recommendation systems Familiarity with MLOps practices and model lifecycle management Knowledge of event-driven architectures (Kafka or similar) Experience with DevOps tooling … infrastructure as code Exposure to Generative AI and large language models Competitive Salary Bonus Scheme Private Healthcare Insurance 25 Days Annual Leave + Bank Holidays Up to 10 days allocated for development training per year Enhanced Parental Leave Paid Fertility Leave (5 Days) Statutory & Contributory Pension EAP with Help ...

Intellectual Property Solutions (LNIP) seeks a Senior Data Scientist I to design and validate AI-driven capabilities within Protégé in PatentSight. You will lead NLP/LLM experiments, define agentic workflows, and partner with engineers to translate research into scalable, product-ready features. You will work on hybrid search, model ...

drive innovation through generative AI applications tailored to complex financial workflows. The ideal candidate will have strong Python proficiency and hands-on experience in NLP, along with a solid understanding of the GenAI landscape. This role offers substantial growth opportunities and a hybrid working model, making it perfect for those ...

FinTech clients globally. You will guide ML/AI initiatives, collaborate with clients and internal teams, and own the AI/ML strategy. Strong NLP/LLM experience and deep Python/Azure skills are essential for success. #J-18808-Ljbffr ...

/AI Engineer for a permanent, on-site role. You will work on a portfolio of public and private sector projects, applying ML, GenAI, NLP and related technologies. You will lead client engagements, define solutions, communicate value, and guide delivery teams, with opportunities to publish whitepapers and present at conferences. ...

Platform Delivery department. The role focuses on designing, training, and productionising ML models across multi-source datasets, with emphasis on embedding/RAG workflows, NLP and scalable services integrated into the OneView platform. The ideal candidate will have 3–5+ years in ML engineering, strong Python skills, experience with modern ...

NLP PEOPLE is searching for a Principal Machine Learning Engineer in Greater London. In this pivotal role, you'll provide technical leadership across the full lifecycle of machine learning systems while architecting production-grade ML solutions. You will work with AWS SageMaker, lead teams on MLOps strategies, and ensure systems ...

adoption. Enable R&D teams to work more efficiently and effectively with large volumes of content. What you’ll need: Experience or interest in NLP and LLM applications (transformers, Retrieval-Augmented Generation, prompt engineering). Familiarity with data visualization and scientific communication tools. Knowledge graph and ontology management. Python ...

with cross-functional teams, including product development, engineering, and client services, to align data initiatives with business goals. Design, implement, and optimize ML and NLP models to enhance our privacy-focused product offerings and improve client experiences. Maintain comprehensive documentation of data processes, models, and analytical methodologies. Job requirements – Software ...

such as DuckDB. Nice to have Quantitative research background, academic or industry. Index construction and classification taxonomies. Working with model-derived inputs, understanding that NLP-generated exposures carry measurement error and revise over time. Task orchestration (Dagster or Airflow) and S3-based data flows. AWS fluency and CI/ ...

proven record of success in online data science competitions, such as Kaggle. Experience in deep learning, reinforcement learning, non‐convex optimisation, Bayesian non‐parametrics, NLP or approximate inference. Excellent reasoning skills and mathematical ability. Strong programming skills and experience working with Python, Scikit‐Learn, SciPy, NumPy, Pandas and Jupyter Notebooks ...

ambiguity and define clarity Data & Technical Depth Experience with data models, pipelines, and analytics systems Familiarity with AI/ML or data extraction (e.g., NLP) preferred Comfortable working closely with engineering teams Execution Bias for action; able to go from idea to shipped product Strong prioritization and roadmap management Stakeholder ...