251 to 275 of 280 Permanent Natural Language Processing Jobs

Fairygodboss is looking for an Applied AI ML Director specialized in NLP, LLM, and Graph analytics to join their team in the UK. This role will focus on advanced machine learning solutions for various applications including speech analytics and recommendation systems. Ideal candidates should possess a PhD in a quantitative ...

secure, intelligent solutions to complex business problems. Over 200,000 business customers and millions of individuals across 228 global markets today trust DeepL's Language AI platform for human-like translation, improved writing and real-time voice translation. Founded in 2017 by CEO Jaroslaw “Jarek” Kutylowski, DeepL … Experience quantifying uncertainty in large models — calibration and confidence estimation via Bayesian methods, ensembling, steering, or prompt-based approaches. Experience with machine translation, multilingual NLP, or document-/layout-aware modelling experience. Familiarity with MoE-specific training and adaptation (e.g. expert routing, Mixture-of-LoRA-Experts) and large-scale data ...

such as PyTorch, ensuring scalability and reliability in high‐traffic environments Build and deploy production AI Agents using raw and fine‐tuned foundational Large Language Models (LLMs), along with sub‐agents, tools, and MCP integrations Architect end‐to‐end ML pipelines, integrating data processing (e.g., Spark, Airflow) with … framework (e.g., PyTorch, TensorFlow), with experience in areas such as recommendation systems, ranking models, or NLP. Expertise in prompting and fine‐tuning Large Language Models (LLMs) and building production AI Agents. Proven experience designing scalable data and ML pipelines using tools such as Spark, Airflow, or similar distributed systems. ...

Managers and Engineers to identify opportunities, shape strategy and deliver customer-facing data products and AI solutions. Responsibilities include exploratory analysis, experimentation, machine learning, NLP and AI-driven product development. Product Areas Fraud & Risk Personalisation & Recommendations Checkout & Conversion Optimisation Key Requirements 6–7+ years' experience in Data Science, Decision Science … solving and commercial thinking Experience identifying and sizing business opportunities through data Hands-on experience with: Statistical testing and experimentation Machine Learning Feature testing NLP and AI applications ...

collaborate across teams, while staying grounded in product impact, user experience, and real‐world performance. Nice to have Experience with machine translation, multilingual NLP, efficient long‐context modeling, language quality estimation, or multimodal machine translation. Experience designing evaluation and reward signals using automatic metrics, Model‐as‐judge evaluation … bring us your personal experience, your perspectives, and your background. It’s in our diversity that we will find the power to break down language barriers in the world. #J-18808-Ljbffr ...

JPMorgan Chase's Chief Data & Analytics Office seeks an Applied AI ML Director - NLP/LLM and Graphs to apply cutting-edge machine learning methods to complex tasks such as NLP, graph analytics, and time-series predictions. You will collaborate with business, technology, product, legal, and compliance teams to deploy ...

Large Language Mode (LLM) Technology Lead/Principal Architect Career Level: Manager/Senior Manager/Associate Director You Are As a Lead or Principal AI Architect, you will serve as the definitive technical authority on AI architecture within client engagements and across the practice. You will … Generative AI space. Well versed in architecting and operationalizing LLM driven application architecture patterns. Deep experience in engineering, machine learning, deep learning and NLP solutions and applications. Several years of hands‐on experience as a machine architect in the industry designing big data, machine learning and large‐scale analytical engineering ...

code workflows, and intelligent document processing solutions. Lead the investigation and evaluation of AI technologies that can enhance regulatory processes, including NLP, machine learning, generative AI, and predictive analytics. Develop AI‐enabled use cases such as automated document classification, impact assessments, regulatory intelligence scanning, and predictive submission planning. Ensure … regulatory platforms, processes, and best practices. Experience designing digital roadmaps to modernise regulatory operations. Experience with automation technologies (RPA, workflow tools, intelligent document processing). Understanding of AI capabilities in regulated environments and ability to translate needs into AI‐enabled use cases. Expertise in master data management, metadata structures ...

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 ...

standards and tooling - RDF/RDFS, SPARQL, OWL, SHACL-together with graph databases, ontology-design tools, and visualization platforms such as Linkurious. Apply modern NLP/NLU techniques, from topic modelling to cutting edge entity and relation extraction, plus concise text summarisation. Experience Requirements Core semantic/graph tech …/streaming or CDC pipelines feeding a knowledge graph. Entity resolution techniques, data cleansing, enrichment, and integration from many sources. Python + ML/NLP stack High quality production code in Python . Libraries such as NetworkX , TensorFlow or PyTorch , NLTK, spaCy, Hugging Face, BERT , Pandas, NumPy, scikit learn . ...

data sources. - are strong in multi-modal modelling across time-series, structured, and categorical data, and comfortable with unstructured free-text notes through clinical NLP and information extraction. - have experience communicating your work to a non-technical and healthcare audience. - You are curious, hungry and constantly push the boundaries … possible - have a PhD in a related field, or equivalent industry experience Bonus points if you - have line-management experience. - have advanced clinical NLP experience, such as RAG, patient summarisation, or Clinical BERT-type models. - have experience evaluating LLMs or generative models in sensitive or regulated settings. - have experience with ...

insight generation. Key Responsibilities • Analyse large-scale conversational, prompt and interaction datasets • Build and own AI product evaluation frameworks and success metrics • Use NLP, semantic analysis and behavioural analytics to identify opportunities for improvement • Design and analyse A/B tests and experimentation programmes • Partner with Product Managers, Engineers … base salary • Potential £10,000 sign-on bonus • Hybrid London (ideally 2–3 days per week, flexible to 1 day) • Stack: Python, SQL, NLP, Text Analytics, Semantic Analysis, Experimentation, dbt Interested? Please apply below. ...

NLP PEOPLE is seeking a Machine Learning Engineer in London (Hybrid) with a focus on NLP and LLMs. You will enhance retrieval systems and shape technical direction. The ideal candidate will have 5+ years of experience, strong Python skills, and the ability to design ML pipelines. The position offers ...

J.P. MORGAN is seeking an NLP/LLM Scientist – Applied AI ML Lead to advance the Machine Learning Center of Excellence. You will tackle NLP, LLMs, and recommendation systems with deep learning methods. You will work with Business, Technology, Product, Legal, and Compliance to deploy robust ML solutions in production ...

JPMorgan Chase is seeking an Applied AI ML Director - NLP/LLM and Graphs within the Machine Learning Centre of Excellence (MLCOE). You will apply advanced ML methods to NLP, graph analytics, speech analytics and time series, collaborating with business, technology, legal, and control partners to deploy production-ready ...

JPMorgan Chase's Chief Data & Analytics Office (CDAO) invites applications for an Applied AI ML Director – NLP/LLM and Graphs. This role will apply sophisticated machine learning methods to NLP, graph analytics, speech analytics, time series, reinforcement learning and recommendation systems. You will collaborate with diverse teams to deploy ...

J.P. MORGAN in the United Kingdom is seeking a Senior AI/NLP Engineer to join a highly collaborative team of business stakeholders, technologists, and control partners to deploy ML solutions into production. A strong passion for machine learning and continuous learning is essential, with solid NLP and financial knowledge ...

London Stock Exchange Group (LSEG) invites a Principal Applied Data Scientist to lead hands-on NLP/LLM initiatives within the LSEG Workspace. You will design, build, test, and deploy production-grade AI solutions used by financial professionals and collaborators across teams. You will work with cutting-edge NLP tooling ...

LexisNexis Intellectual Property Solutions (LNIP) is seeking a Senior Data Scientist I to shape AI-driven capabilities within Protégé for PatentSight. You will design NLP/LLM strategies, define agentic workflows, and drive experiments translating results into scalable, customer-facing features. Collaborate with engineers and IP experts to align models ...

PatentSight. You will define what to build, drive experiments, and translate results into scalable, customer-facing solutions with engineers and IP experts. Role emphasizes NLP, LLMs, and agentic workflows to solve complex IP tasks, with a strong emphasis on collaboration and data-driven decision making. London/UK location preferred. ...

Lead Applied Scientist | Document Understanding • Search • Information Retrieval | London or Switzerland If you're passionate about pushing the boundaries of NLP, Search and Generative AI, this is an opportunity to work on problems that genuinely haven't been solved at scale. You'll join a world-class AI research organisation … models that rapidly become customer-facing capabilities across multiple AI products. We're looking for scientists with experience in areas such as: NLP & LLMs Information Retrieval/Search Document Understanding Knowledge Graphs Information Extraction PyTorch, Hugging Face, Python Publications in venues such as ACL, EMNLP, NeurIPS, ICLR, SIGIR ...

long-term strategy, including artificial intelligence for Finance, automation and robotics. The ideal candidate has prior experience leading initiatives that harness AI/ML, NLP and GenAI technologies to improve Finance processes, operational efficiency and organizational performance. Key Responsibilities: Strategic Planning and Execution: Develop and execute a comprehensive AI+ strategy … Finance team. Coordinate with internal technology teams, Corporate Finance, and external vendors to implement AI+ solutions effectively. Articulate the potential of AI/ML, NLP, and GenAI tools, helping stakeholders understand their benefits, limitations, and prerequisites (such as data quality) for successful implementation. Monitor project progress, manage risks, and ensure ...

NLP PEOPLE in Cambridge is looking for a Machine Learning Research Engineer specializing in NLP and LLM. The role involves researching new concepts for cutting-edge machine-learning software while working alongside a small team. Ideal candidates will have a Ph.D. or relevant degree, expertise in machine learning, and proficiency ...

decisively when the path forward is unclear. You should apply if... You have deep expertise across a range of ML techniques (e.g. Transformer‐based NLP, Deep Learning, Tree‐based methods, Bayesian modelling) and the judgment to select solutions that balance theoretical soundness against engineering practicality. You have a proven track … team or area, making high‐stakes build‐vs‐buy decisions, and influencing roadmaps beyond your immediate team. You bring mastery of a production‐grade language (e.g. Python, C#, or Go), with a focus on extensible, modular components and a strong instinct for system design. You are a natural ...

results). Design and deploy data integration and analysis pipelines. Collaborate with engineers and product managers to bring ML features to life. Create innovative language assessments and predictive models. Optimize models for performance, scalability, and accuracy. … Qualifications: Deep knowledge of neural networks (CNNs, RNNs, LSTMs, Transformers). Strong experience with data tools (Pandas, NumPy, Apache Spark). Solid understanding of NLP algorithms. Experience integrating ML models via RESTful APIs. Familiarity with CI/CD pipelines and deployment automation. Strategic thinking around architecture and trade-offs. ...