126 to 150 of 284 Permanent Natural Language Processing Jobs

experiments, and causal inference methods (e.g., Pre/Post, causal impact, multivariate, multi-armed bandit). You have hands‐on experience building ML/NLP models at production scale (e.g., text classification, semantic similarity, quality scoring). You have advanced proficiency in SQL and Python, with ability to write clean ...

quasi-experiments, and causal inference methods (e.g., Pre/Post, causal impact, multivariate, multi-armed bandit)You have hands-on experience building ML/NLP models at production scale (e.g., text classification, semantic similarity, quality scoring)You have advanced proficiency in SQL and Python, with ability to write clean, production ...

delivering some of our most exciting Data Science projects aimed at improving our GTM efficiency and pricing practices: from prediction to ranking, segmentation to NLP, and recommendation systems to content generation. You will deliver the Data Science component of key strategic initiatives, including owning, maintaining, and deploying production-ready ...

software engineers. Responsibilities will include: Leading and delivering technical consulting projects. Developing and delivering AI/ML solutions using a range of techniques (ML, NLP, LLMs, etc.) to tackle real world problems, applying tools and techniques, and developing novel approaches where required. Building new relationships and maintaining current customer relationships. ...

Spring; expertise in AWS, Azure, Google Cloud; Kubernetes and containerization. AI Expertise: Machine learning model development, GenAI models (e.g., GPT, BERT, DALL-E, GEMINI), NLP techniques. Big Data: Experience with Hadoop and Spark. Ethics: Knowledge of AI ethics and governance. Methodologies: Agile and Scrum project management. Other Requirements Verifiable Certification ...

completely from scratch) Previous experience with Azure (Container Apps, endpoints, and cloud deployment) Experience working with frontend technologies (TypeScript, React, others) Prior exposure to NLP, LLMs, and ML tools Experience in professional services domains In return Fletchers offers: 35 hours working week Bonus scheme (subject to targets being ...

Clear communicator who can influence without authority. Nice to Have Experience with product analytics platforms (e.g. Amplitude, Mixpanel, or similar). Experience working with NLP, text analytics, or unstructured data at scale. Experience building semantic search, relevance scoring, or interaction-based evaluation systems. Familiarity with prompt analytics, embedding-based analysis ...

production features. ML Engineer/Applied Scientist – Own end‐to‐end ML projects from problem framing through to production deployment, specialising in a domain (NLP, vision, recommender systems, time‐series). Senior ML Engineer/Senior Scientist – Lead the technical design of major ML systems; mentor a small group ...

OpenAI leaders. They combine deep sector knowledge with cutting-edge design and software engineering expertise to deliver state-of-the-art SaaS capabilities leveraging NLP, GenAI, Computer Vision, and Reinforcement Learning technologies. Position location (hybrid) : London (Shoreditch) or Paris (Le Marais) We are seeking Machine Learning Engineers who are passionate ...

OpenAI leaders. They combine deep sector knowledge with cutting-edge design and software engineering expertise to deliver state-of-the-art SaaS capabilities leveraging NLP, GenAI, Computer Vision, and Reinforcement Learning technologies. Position location (hybrid) : London (Shoreditch) or Paris (Le Marais) We are seeking Machine Learning Engineers who are passionate ...

software engineers. Responsibilities will include: Leading and delivering technical consulting projects. Developing and delivering AI/ML solutions using a range of techniques (ML, NLP, LLMs, etc.)to tackle real world problems, applyingtools and techniques,and developing novel approaches where required. Building new relationships and maintainingcurrent customerrelationships. Expertise Required ...

software engineers. Responsibilities will include: Leading and delivering technical consulting projects. Developing and delivering AI/ML solutions using a range of techniques (ML, NLP, LLMs, etc.)to tackle real world problems, applyingtools and techniques,and developing novel approaches where required. Building new relationships and maintainingcurrent customerrelationships. Expertise Required ...

cloud infrastructure, open‐source stewardship, and generative AI innovation. For over a decade, Bloomberg has been at the forefront of applying AI, ML, and NLP to financial intelligence, powering products in sentiment analysis, classification, document understanding, recommendation, and generative AI. Critical to this effort are our AI platforms, which enable ...

enabled transformation programmes. Understanding of AI technologies and the broader AI ecosystem, including Generative AI, GPT, Microsoft Copilot, agentic workflows, machine learning, NLP, and intelligent automation. Strong analytical and problem-solving skills, with experience interpreting data, identifying insights, and building recommendations. Familiarity with Agile delivery methodologies, product operating models ...

decisioning and drive data quality issues before they become delivery problems Design end to end decisioning solutions Translate model outputs and complex logic into language non-technical stakeholders can understand and trust Mentor junior team members and build decisioning capability across the practice Contribute to business development - shaping proposals … Comfortable working with messy, incomplete requirements and driving clarity through action English fluency and comfort working in global, cross-functional teams Preferred Experience with NLP, computer vision, or multimodal AI models Knowledge of AI safety, guardrails, and responsible AI practices in production Familiarity with Snowflake, Databricks, or similar data platforms ...

value from data assets from discovery to deployment. Proficiency in Python and frameworks such as TensorFlow or PyTorch, plus experience with cloud platforms and NLP, are required. #J-18808-Ljbffr ...

seeks a Senior Data Scientist/AI Engineer to shape the AI strategy within a growing international organisation. You will design and deliver ML, NLP and Generative AI solutions using Databricks, Microsoft Fabric and Azure AI Services. This permanent full-time role is hybrid from Fareham (and other locations) with ...

seeks a Senior Data Scientist/AI Engineer to shape the AI strategy within a growing international organisation. You will design and deliver ML, NLP and Generative AI solutions using Databricks, Microsoft Fabric and Azure AI Services. This permanent full-time role is hybrid from Fareham (and other locations) with ...

seeks a Senior Data Scientist/AI Engineer to shape the AI strategy within a growing international organisation. You will design and deliver ML, NLP and Generative AI solutions using Databricks, Microsoft Fabric and Azure AI Services. This permanent full-time role is hybrid from Fareham (and other locations) with ...

usage. Contribute to the development of scalable prototypes and production-ready solutions. Ideal Candidate Hands-on experience with AI/ML tools (e.g. NLP, predictive modelling, process automation). Familiarity with cloud platforms (AWS, Azure, or GCP). Strong problem-solving and collaboration skills. Ability to communicate technical concepts clearly ...

doing AI & Machine Learning Build and deploy ML models across: Predictive analytics (performance trends, forecasting) Computer vision (video analysis, media enhancement) NLP (fan insights, content intelligence, knowledge systems) Anomaly detection (telemetry/operations monitoring) Build scalable inference pipelines (real-time + batch) Implement monitoring, drift detection, and retraining workflows Prototype ...

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 ...

Equities, Asset Management is a plus Key Responsibilities Develop and maintain Python-based AI applications Build and maintain document workflows using LLMs and classical NLP Debug model performance issues, handle edge cases, and optimize system reliability Write comprehensive tests and implement monitoring for AI/ML systems Rapidly prototype ...

communicator who builds trust quickly, challenges constructively, and leads with empathy. Comfortable driving delivery in AI-enabled product teams, including workstreams that use LLMs, NLP, or data-driven decisioning systems. Key Attributes Pragmatic and outcome-focused, not process-driven. Data- and AI-aware - able to guide squads and stakeholders ...

Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies – simple natural-language rules that define what an AI model should and shouldn’t do. We automatically test, enforce, and continuously improve these policies at scale. … right in if you: Strong Python + SQL with an engineering mindset: you can build reliable pipelines, not just notebooks. Solid applied NLP/ML experience on real-world text: embeddings, clustering, topic modeling, semantic search, classification; you understand failure modes and how to debug them. Comfortable at scale: distributed ...