126 to 135 of 135 Natural Language Processing Jobs

preparation Exploratory data analysis (EDA) Model development and validation Insights generation, visualization, and storytelling Model deployment, monitoring, and maintenance Apply machine learning, data mining, NLP, and optimization techniques to correlate diverse datasets and extract business value Design and implement scalable, cloud‐based analytics architectures in collaboration with cross‐functional teams … batch analytics frameworks (e.g., Kafka, Spark, Flink ) Solid experience in machine learning, statistical modeling, optimization, and numerical methods Practical exposure to Generative AI, NLP, and modern ML techniques in real business applications Strong analytical thinking, learning agility, and the ability to work independently as well as collaboratively Proven ability ...

automation across entity matching, data validation, and workflow orchestration using AI/ML. Implement agentic AI and LLM-based services to streamline onboarding, document processing, and exception handling. Ensure compliance with data privacy, data sovereignty, and regulatory architecture patterns (e.g., regional sharding, zero-data copy patterns). Bring … CloudWatch, API Gateway, ECS, ECR, SQS, SNS). Familiarity with Open AI APIs, Agentic AI – Crew/LangChain/RAG/AutoGen/NLP/Java/Python/REST/Telemetry/Security/Auditability. Domain knowledge in client onboarding, KYC, and regulatory workflows, with a deep understanding ...

Build, train, and optimise machine learning models used by financial services clients and quant teams. • Develop LLM‐based solutions including finetuning, conversational agents, and NLP‐to‐LLM pipelines. • Contribute to proprietary data assistance products designed for analytical workflows. • Work across Python‐based modelling, experimentation, and error analysis. • Collaborate closely with … trading‐focused models. • Experience building ML models end‐to‐end, including optimisation and error analysis. • Knowledge of LLMs, finetuning, conversational AI, or modern NLP techniques. • Comfortable working in a collaborative environment with engineers and product teams. What They Offer • Opportunity to work directly with senior leaders and impact product direction. ...

legal challenges into scalable AI solutions Facilitate discovery sessions with legal professionals to identify high-value opportunities Evaluate and implement AI tools (e.g. LLMs, NLP, RAG pipelines) in production environments Ensure solutions meet high standards for accuracy, confidentiality, and risk Drive adoption through intuitive user experiences and clear value articulation … digital or technology-led environment Hands-on experience delivering AI/ML-powered products Strong understanding of: Large Language Models (LLMs) NLP, classification, extraction, summarisation Retrieval-Augmented Generation (RAG) or similar architectures Experience working in regulated environments (e.g. legal, financial services, healthcare) Strong Agile delivery experience working with cross ...

relevant experience Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus Capacity to multi-task in a fast paced environment while keeping strong attention to detail Coding skills required … least one leading programing language (Python, R, Matlab and/or C++, C#) Experience in exploring large datasets across multiple time frames is a plus Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields Capacity to work with ...

post-go-live support. There is also an opportunity to contribute to the integration of broader intelligent automation technologies, including Machine Learning, OCR and NLP, within an established governance framework. Key responsibilities Design, develop and deliver end-to-end automation solutions Review Process Definition Documents (PDDs) and produce Solution Design … Documents (SDDs) Develop Power Automate cloud workflows, RPA workflows and hybrid automation solutions Integrate intelligent automation capabilities such as ML, OCR and NLP where appropriate Support SIT and UAT, including preparation of test plans and test data Work closely with technical and change teams to ensure access, requirements and dependencies ...

executive presentations. Positioning Zendesk as the customer’s platform of choice.* **Champion AI & automation:** Translate advanced AI/ML capabilities (including LLMs, ChatGPT, NLP, and predictive analytics) into actionable CX strategies that increase efficiency, personalisation, and scalability.* **Influence product evolution:** Leverage customer insights to inform product innovation, shape reference architectures … Contact Center, Customer Service software, ITSM, Business Intelligence, Data Warehousing, Workforce Management, QA or Integration & Middleware.* Strong understanding of AI and automation technologies (LLMs, NLP, ChatGPT, MCP, predictive analytics) and their impact on customer service transformation.* Demonstrated ability to lead virtual teams to successful outcomes and build consensus across technical ...

development of automation processes. You will work with cutting-edge technology, integrating intelligent automation capabilities (such as Machine Learning, OCR, and NLP) into scalable workflows. Key Responsibilities Development: Design, develop, and implement enterprise-grade automations using Power Automate (cloud flows, desktop flows/RPA, and combined workflows). Solution Design … User Acceptance Testing (UAT), ensuring automations are robust, fit-for-purpose, and align with governance frameworks. Integration: Integrate intelligent automation capabilities (AI, OCR, NLP) into automated processes to enhance functionality. Handover: Manage the smooth transition of automations to the support team during Post Go-Live Support (PGLS), ensuring comprehensive knowledge ...

learning models for classification, scoring, and prediction Work with text and customer interaction data, including search queries, documents, and CRM data Build and integrate NLP-based services into existing applications and workflows Expose models via APIs and support their deployment into production environments Contribute to CI/CD pipelines, monitoring … Data Scientist in production settings Solid background in Python and common ML libraries Experience building search, ranking, or retrieval systems Practical experience with NLP or text-based ML problems Familiarity with deploying ML models as services or APIs Experience working in cloud environments and modern engineering workflows Understanding of data ...

policy and claims management product, define and build new features that improve user productivity and automate high-volume, repeatable processes, particularly around claims invoice processing and related workflows. You will work within a Scrum team (3-week sprints), contributing to our existing .NET/Angular platform while leading … common AI/automation building blocks such as: OCR and document understanding (e.g. cloud services or libraries). Entity extraction, text classification, or similar NLP tasks. Rule engines, workflow engines, or BPM/orchestration tools. Strong understanding of non-functional requirements for AI features: Performance and throughput for high-volume ...