101 to 122 of 122 Permanent Natural Language Processing Jobs

innovation . This is a long-term contract opportunity where you’ll work on real-world, production-grade AI solutions , including LLM-powered applications, NLP pipelines, and emerging agentic systems . You’ll be operating in a highly data-driven environment, solving complex business problems and delivering impactful … cases at scale. Key Responsibilities Build, deploy, and optimise machine learning and NLP models in production Develop end-to-end data science pipelines Design and prototype Generative AI solutions (LLMs, embeddings, prompt engineering) Work with BigQuery ML and cloud platforms for large-scale modelling Translate business challenges into scalable data ...

excellent opportunity for ambitious graduates who want to work with cutting-edge technologies including Artificial Intelligence, Machine Learning, Generative AI and Large Language Models (LLMs) while developing their technical skills within a supportive engineering environment. Successful candidates will gain hands-on experience working alongside experienced engineers and data scientists … graduate opportunities in AI, machine learning, data science or software engineering. Key Skills: Artificial Intelligence, Machine Learning, Data Science, Python, AI Engineer, Data Analyst, NLP, Deep Learning, Generative AI, Graduate Developer, LLM, Software Engineering. ...

Python, we want to hear from you. SKILLS - we are super keen to see in your profile chatbot speech recognition text to speech audio processing recommender systems Why work in iGaming with US? Because you'll be building cutting-edge tech that powers entertainment for millions-where innovation meets … Collaborating with data and engineering teams to solve complex challenges Staying ahead of the curve with the latest in LLMs, RAG, and CV/NLP trends What you bring: Solid Python skills + experience with PyTorch or TensorFlow Hands-on with Docker, CI/CD, and testing frameworks like Pytest ...

Strong proficiency in at least one programming language, preferably Python Hands-on experience with containerization technologies (Docker) and databases Strong interest in search, NLP and machine learning Nice-to-haves Hands-on experience with OpenSearch/ElasticSearch Hands-on experience with NLP and machine learning in a production environment ...

Senior Data Scientist A great opportunity to join a team building advanced conversational AI and NLP products for financial services. This role is ideal if you enjoy modern LLMs, problem solving, and bringing machine learning models into production. The Company They are a growing data and AI organisation developing conversational … tools, data assistants, and NLP solutions for analytics and trading teams. Their work spans LLM fine tuning, automation, and website chatbots, supported by strong engineering and DevOps functions. They operate an AWS environment and encourage collaboration across teams. The Role Build and fine tune LLMs and NLP models for analytics ...

engineering roadmap aligned to Banking tech strategy and enterprise architecture. AI Engineering & Architecture – Lead the design and development of scalable AI systems using LLMs, NLP, knowledge graphs, and machine learning pipelines. Architect secure, compliant AI solutions that integrate with market data, CRM, internal knowledge bases, and document repositories. Data Strategy … financial services or enterprise environments. Demonstrated success building AI applications in investment banking, asset management, or capital markets domains. Deep expertise in ML, NLP, LLMs, retrieval‐augmented generation (RAG), embeddings, and modern MLOps practices. Strong experience working with both structured financial datasets and unstructured data sources (e.g., filings, call transcripts ...

engineering roadmap aligned to Banking tech strategy and enterprise architecture.* **AI Engineering & Architecture -** Lead the design and development of scalable AI systems using LLMs, NLP, knowledge graphs, and machine learning pipelines. Architect secure, compliant AI solutions that integrate with market data, CRM, internal knowledge bases, and document repositories.* **Data Strategy … financial services or enterprise environments.* Demonstrated success building AI applications in investment banking, asset management, or capital markets domains.* Deep expertise in ML, NLP, LLMs, retrieval-augmented generation (RAG), embeddings, and modern MLOps practices.* Strong experience working with both structured financial datasets and unstructured data sources (e.g., filings, call transcripts ...

Python/Django) About the role: We are working with an early-stage, AI-driven technology company building advanced platforms that leverage machine learning, NLP and large language models to solve complex research and data problems. The team is focused on developing scalable, intelligent systems , increasingly incorporating LLM-powered … design and backend architecture Proficiency with Git Willingness to work 2 days per week onsite in London Nice to have Exposure to NLP or search systems (e.g. semantic search) Experience working with LLMs or generative AI Frontend experience (e.g. React ) Experience with Elasticsearch or OpenSearch Experience with AWS or similar ...

office 5 days per month. As ML Engineer, your mission is to: Participate in the continuous improvement of our client's products Develop advanced NLP and AI-based products that will delight users Provide excellence in cloud-based ML engineering, with as much focus on Operations as Development. Expand … demonstration and documentation Key Responsibilities As a machine learning engineer, your main responsibility is to conduct the development and productionisation of ML and NLP-based features for the client's products - a SaaS Platform and an API. Develop optimal ML & NLP solutions for use cases, from baseline to SOTA approaches ...

APIs. Run technical experiments to test new AI-powered workflows, notably using Agentic AI. Engineer prompts and automation pipelines for AI-assisted localization. Leverage NLP/NLU techniques to improve localization automation, translation quality evaluation, and multilingual content understanding across Expedia Group experiences. 3. Machine Translation and linguistic systems Develop … programming skills (Python, Java, JavaScript/TypeScript) REST APIs, testing tools Regex and string handling Solid knowledge of Unicode, ICU & CLDR Working knowledge of NLP and NLU concepts: tokenization, embeddings, classification, sequence labeling, semantic similarity, intent/entity extraction Experience building production services, scripts, or internal platforms. Experience working with ...

experience Strong Python development experience in production environments Proven experience developing Machine Learning models (e.g. classification, regression, image/signal processing, or NLP) Solid understanding of ML model lifecycle: data preparation, training, validation, deployment, and monitoring Hands-on experience with APIs, Docker, and AWS Working knowledge ...

Staff Machine Learning Engineer – NLP/Search/LLMs London (Hybrid – 2 days onsite) £90,000 – £110,000 + Equity I'm working with an AI-first technology platform transforming how complex intellectual property research is done using LLMs, NLP and advanced search systems . They were early adopters … building agentic AI workflows that can autonomously answer complex research questions. They're looking for a Staff ML Engineer to help scale their NLP and search capabilities . What you'll be doing • Improving search quality (precision & recall) across large datasets • Designing LLM-powered workflows and agentic systems • Building ...

React, HTML, Scrum methodologies, Agile processes, JIRA, CSS, and Git (the normal stuff) Solid understanding of algorithms and data structures; AI/ML and NLP a plus but not required for this role 3+ years experience; ideally 5 or more BONUS: Foreign language fluency, particularly languages associated with threat ...

React, HTML, Scrum methodologies, Agile processes, JIRA, CSS, and Git (the normal stuff) Solid understanding of algorithms and data structures; AI/ML and NLP a plus but not required for this role 3+ years experience; ideally 5 or more BONUS: Foreign language fluency, particularly languages associated with threat ...

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 ...

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 ...

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 ...