76 to 100 of 205 Natural Language Processing Jobs

team of data scientists while remaining deeply hands-on with code and architecture. Key Responsibilities Technical Leadership: Architect and deploy LLM-driven workflows and NLP solutions, ensuring they are scalable, robust, and production-ready. Product Ownership: Own the full product lifecycle from vision and roadmap strategy to implementation, iteration ...

team of data scientists while remaining deeply hands-on with code and architecture. Key Responsibilities Technical Leadership: Architect and deploy LLM-driven workflows and NLP solutions, ensuring they are scalable, robust, and production-ready. Product Ownership: Own the full product lifecycle from vision and roadmap strategy to implementation, iteration ...

team of data scientists while remaining deeply hands-on with code and architecture. Key Responsibilities Technical Leadership: Architect and deploy LLM-driven workflows and NLP solutions, ensuring they are scalable, robust, and production-ready. Product Ownership: Own the full product lifecycle from vision and roadmap strategy to implementation, iteration ...

Computer Science, Statistics, Mathematics, Economics, or similar Working knowledge of statistical and machine learning methods (e.g. logistic regression, gradient boosting, random forests, clustering, NLP Proficient in Python and/or R, with strong experience in data quality, model development and feature engineering Strong command of SQL and familiarity with data ...

deployment. Preferred Skills: Hands on experience in coding (mandatory python and SQL or C++). Understanding of Generative AI, Computer Vision cloud technology, NLP, Deep Learning. Familiarity working with large data sets. Project Management background preferred. Qualifications : Master’s (Required) in Data Science, Mathematics, Statistics, Economics, IT related fields ...

Data Governance and Data Catalog solutions: Axon, Informatica EDC, Colibra, Purview, etc. Previous experience in Artificial Intelligence techniques: ML/Deep Learning, Computer Vision, NLP, etc General information: Start Date: ASAP Length of Contract: 1 year (minimum) Work Location: Madrid Remote working. (It may be necessary at some point ...

SaaS architectures.* Proven experience designing and executing customer pilots and proofs of concept that demonstrate business value.* Deep understanding of AI technologies (LLMs, ChatGPT, NLP, MCP automation frameworks) and their practical applications in CX.* Expertise in one or more of the following domains: CCaaS, Customer Service software, ITSM, Business Intelligence ...

What you will do as a Senior ML Engineer Design, build, and optimise machine learning models, including NLP, computer vision, and predictive analytics. Own the ML lifecycle from data preparation through training, evaluation, and deployment. Implement and maintain MLOps workflows for continuous integration and delivery of ML models. Collaborate with … with cloud platforms (AWS) and containerisation (such as Docker, Podman, Kubernetes). Exposure to big data technologies (Spark, Hadoop) and Apache tools. Knowledge of NLP, computer vision, and deep learning architectures. Familiarity with Agile and DevOps practices. STEM degree or equivalent experience in AI, Data Science, or related fields. Industry ...

chance of permanent conversion • Cannot sponsor Requirements: • 7+ years across MLE/MLOps/Data Engineering/SWE • Production ML deployment experience • LLM/NLP/GenAI exposure • Strong stakeholder management and independent delivery skills Interested? Please apply below. ...

initiatives. Required Experience Strong experience with Azure AI services, Azure OpenAI and AI infrastructure engineering. Hands-on expertise with Generative AI, RAG architectures, NLP and agentic workflows. Experience building secure CI/CD, LLMOps, and MLOps pipelines. Knowledge of Terraform, cloud security, APIs, and enterprise integrations. Familiarity with frameworks such ...

plans and priorities when required. Strong understanding of data ethics, privacy, bias, explainability and governance. Desirable skills and experience Experience with MLOps, AI platforms, NLP/LLMs, knowledge graphs or real-time data products. Experience setting data science strategy or leading cross-functional technical communities. Experience in consulting, public-sector ...

Strong understanding of system design and integration Experience building production AI/LLM‐powered applications Familiarity with Azure OpenAI (or similar) Understanding of RAG, NLP concepts, and evaluation techniques Experience with agent workflows or orchestration patterns Experience with ORMs (SQLAlchemy, Alembic, or similar) Strong API and data modelling skills Experience ...

global ecosystem. What you’ll be doing 1. AI Strategy, Vision & Governance Define LHH’s global AI strategy, spanning agentic AI, generative AI, automation, NLP/NLG, analytics, and applied machine learning. Utilize an AI governance model ensuring responsible, compliant, and ethical AI usage aligned to group standards. Utilize ...

analytics , workforce management, or operational forecasting Background in healthcare, pharmaceutical, biopharma, or insurance environments Exposure to advanced techniques such as machine learning, regression, segmentation, NLP, or decision trees Familiarity with Azure , automation, version control, or model deployment workflows Strong communication, presentation, and stakeholder management skills Intellectual curiosity, comfort with ambiguity ...

solutions in cloud environments (Azure preferred) Expertise in Python, Spark/PySpark, and modern data platforms (e.g. Databricks) Hands-on experience with NLP and LLMs, including deployment and optimisation Experience building scalable pipelines, model governance processes, and production systems Ability to translate business requirements into robust technical solutions Strong stakeholder ...

quantitative discipline. Demonstrate extensive hands‐on experience in ML engineering, with a proven track record of shipping production AI systems. Bring deep expertise in NLP, Computer Vision, and/or Multimodal LLM algorithms, with a strong foundation in statistics, optimization, and ML theory. Apply practical experience implementing distributed, multi‐threaded ...

Have good communication skills Nice to have 😍 Experience with transport industry and/or geographical information systems (GIS) Experience with cloud infrastructure Understanding of NLP algorithms and techniques and/or experience with Large Language Models (fine tuning, RAG, agents) Experience with graph technology and/or algorithms ...

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. ...

hands-on data scientist with deep expertise in NLP and LLMs, strong Python coding skills, and a track record of deploying models to production? Do you thrive in building real-world AI solutions that are used by actual customers? If so, we'd love to talk to you!ROLE SUMMARY … closely with collaborative teams to co-develop innovative products for financial markets and professionals.We're looking for someone who combines deep technical expertise in NLP and LLMs, strong Python engineering skills, and real-world experience shipping and supporting models in production. You should be comfortable owning delivery timelines and ensuring ...

solutions to customers and internal stakeholders. Demonstrate deep understanding of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to undertake research and development beyond existing literature. Experience of training and developing AI models including Large Language … identity, national origin, age, disability, protected veteran status or any other characteristic protected by law. Tagged as: Industry, Language Modeling, Machine Learning, NLP, United Kingdom #J-18808-Ljbffr ...

JPMorgan Chase & Co. seeks a Vice President Data Scientist in London to drive business transformation using advanced analytics, LLM, and machine learning techniques. Candidates must showcase strong collaboration with stakeholders and have a solid understanding ...

NLP PEOPLE is hiring a Machine Learning Engineer specializing in LLM Applications for the banking sector. The position requires strong proficiency in Python and building data pipelines, with a senior level of experience required. The role is hybrid based in Sheffield and focuses on evaluating AI/LLM outputs. Ideal ...

looking for: Strong commercial Data Science/ML experience. Python and cloud ML platforms (GCP/Vertex AI or AWS SageMaker) Experience with NLP/LLM use cases. Ability to work autonomously and deliver business impact. Apply if you're a pragmatic ML Engineer who enjoys building solutions that directly ...