101 to 125 of 137 Remote/Hybrid Natural Language Processing Jobs

Senior NLP Engineer Job Description: Theta Lake is the only communication compliance vendor directly financially backed by the leaders in unified communications including funding by Zoom, Salesforce, RingCentral, and Cisco as well as Wells Fargo and tier 1 venture firms including Battery, Lightspeed, and Neotribe.Theta Lake is also the only … solve their communication capture, archiving, proactive compliance risk detection, and surveillance needs. Read more: https://thetalake.com/The Position As Senior NLP Engineer you’ll be part of Theta Lake’s Data Science team, building and improving the models and pipelines that turn messy, multi-modal communication into ...

Machine Learning Researcher A fantastic opportunity for a Machine Learning Researcher with a strong academic background and a particular interest in Large Language Models. You will help develop practical AI applications, from early research and experimentation through to implementation, working with software engineers to bring ideas into real products. … Researcher/Research Engineer/Machine Learning Engineer/AI Engineer/Applied AI Engineer/ML Scientist/Deep Learning Researcher/NLP Researcher/Research Software Engineer/Python/PyTorch/Large Language Models/LLM/LangChain/LangGraph/AI Agents/Enterprise Search ...

agentic systems from prototype to production, with a strong understanding of infrastructure, authentication, and observability Delivered on high-stakes consulting engagements across multiple language paradigms, stacks, ecosystems, and client industries Built high-quality, maintainable software collaboratively, incrementally, and through an approach tailored towards the unique needs of the clients … embracing new tooling and trends within the software industry Built or integrated AI/ML features into products and systems, including recommendation engines, NLP, computer vision, predictive analytics, RAG pipelines, and agents Successfully led modernisation and replatforming efforts to align legacy systems with short and long-term business needs ...

loop review where the stakes demand it. Lead Innovation: Push the envelope with cutting‐edge LLM and agentic techniques to solve hard problems in language understanding, extraction, and reasoning. Shape the Product: Collaborate with Product, Design, and Underwriting SMEs to align ML capabilities with product goals and real domain … reliability at scale. What type of person fits the role: Experience: 6+ years in ML/AI, with deep hands‐on expertise in NLP, LLMs/SLMs, and agentic systems. LLMs & Architectures: Hands‐on experience building with OpenAI and Anthropic models/APIs; strong knowledge of LLMs and agent architectures. ...

including embedding pipelines, RAG workflows and text analysis models. Develop and deploy agentic and multicomponent AI systems using modern ML frameworks. Engineer high performance NLP and sequence models for information extraction, classification and risk prediction. Engineering level platform configuration Configure advanced OneView components linked to modelling outputs such as risk … machine learning engineering Strong Python engineering skills and experience with modern ML frameworks Practical experience training and evaluating models (tree based, temporal, embedding/NLP or LLM based) Ability to build reproducible training and evaluation pipelines Experience containerising and deploying models (e.g., Docker, Fast API) Solid data and database engineering ...

specifically for agent applications. This allows us to achieve the best performance at a given inference cost. Our work spans the development of Large Language Models (LLMs) and Vision-Language Models (VLMs), enabling agents to perceive, understand, and act within complex environments. We are deeply involved in enhancing … Publications in top‐tier AI conferences (e.g., NeurIPS, ICML, CVPR, ACL, ICCV) Advanced degree (PhD or MSc) in a relevant field (e.g., ML, DL, NLP, CV) Soft skills: Excellent communication and presentation skills Strong collaboration and teamwork skills Passion for AI and problem‐solving Bonuses: Industry experience Experience ...

that enable safe and efficient use of Generative AI at scale. We create services, applications and libraries that power the use of Intelligent Document Processing to drive real-world business impact. The Role This is a senior role within a deliberately flat team structure. You will be expected … require novel solutions but are constrained by regulatory and compliance requirements. Experience building production systems for one or more of: document/data extraction, NLP‐based classification, machine translation, fraud or anomaly detection, or workflow automation. Experience evaluating the performance of Generative AI applications – exposure to Mlflow, experiment design, evaluation ...

anomaly detection. You need to know the concept and be handy with the most common libraries Model Hosting and Monitoring: Host and monitor NLP models and LLM for real-time and batch inference. Develop Monitoring Systems: Create and support robust models for monitoring. Support and Innovate: Assist with a long … with third-party APIs is essential. Data Pipelining: Experience with SQL, ETL, data modeling. Experienced with the lifecycle of building ML solutions Speak AI language: Understand the fundamentals of ML/AI and communicate effectively with AI and Data Scientists. Infra: Deep Knowledge of Docker, Git, cloud networking ...

systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field. You will have a deep expertise in Large Language Model (LLM) and Multi-Modal architectures, a strong grasp of pre-training optimization, and a hands-on, research-driven approach. Your mission … distributed training systems to ensure seamless scalability and hardware efficiency on target platforms. A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences). Hands ...

that enable safe and efficient use of Generative AI at scale. We create services, applications and libraries that power the use of Intelligent Document Processing to drive real-world business impact. The Role This is a senior role within a deliberately flat team structure. You will be expected … rigorous approach to prompt structure, clarity and performance. Experience building production solutions in areas such as Intelligent Document Processing, document/data extraction, NLP-based classification, machine translation, fraud/anomaly detection or workflow automation. Experience evaluating Generative AI applications, including experiment design, model evaluation and performance measurement; exposure ...

prediction and phoneme-to-frame alignment using forced aligners or prosody-aware training. Incorporate punctuation and linguistic markers into the model pipeline to improve natural flow. Implement and fine-tune transformer-based architectures for speech synthesis and text-to-speech tasks. Audio Engineering & Vocoder Optimization Evaluate and fine-tune … e.g., HiFi-GAN, WaveGlow) to match desired voice characteristics and audio quality. Identify and correct audio artifacts or inconsistencies in generated speech. Optimize speech processing pipelines for efficiency and real-time performance. Evaluation & Iteration Lead both objective (e.g., duration errors, pitch contours) and subjective (e.g., MOS scoring) evaluations ...

managers, hedge funds, index providers and sell-side banks. As an engineer on the Data Products team you'll own the pipelines that ingest NLP and financial data from public equities around the world to produce the Theia Insights Industry Classification (TIIC) and the datasets behind our Thematic Factor Risk … major theme and micro theme, by extracting information from filings and web content, and assigning thematic exposures based on this information. Run large-scale NLP and LLM inference (entity extraction, classification, knowledge graph construction) over company documents, with cost- and throughput-aware batch execution. Ingest market data and publish datasets ...

first three engineers in a dedicated lab, working alongside the Tech Lead, Design Lead and Product Lead. What you'll do: Fine-tune large language models (LLMs) for style and tone alignment with our editorial voice Design, curate, and manage datasets used for fine-tuning, including versioning and annotation … novel evaluation metrics that capture the nuances of our tone and style What we are looking for: 3+ years experience building with LLMs or NLP pipelines (ideally hands-on with OpenAI, Claude, Cohere, Gemini, Mistral, HuggingFace) Experience with supervised fine-tuning (SFT), prompt tuning, or instruction tuning on proprietary datasets ...

/ML – expertise in SW products enabled via one or more of the following technologies: artificial intelligence/machine learning, medical image analysis, NLP, big data, etc. Other Competencies (Behavioural, Leadership) Strategic mindset - Seeing ahead to future possibilities and translating them into breakthrough strategies. Cultivates innovation - Creating new and better … ownership from concept to broad launch in the healthcare industry MS, or PhD or MBA or relevant advanced degree Additional fluency in a European Language (like German, Spanish, etc.) or Japanese is an asset. #J-18808-Ljbffr ...

algorithms for causal discovery, agentic RAG, document intelligence and legacy system connectors. The role offers hands-on ownership and mentorship while applying ML/NLP and data-engineering methods to connect and reason over engineering knowledge. Job Description Role You will deploy and extend the SCOTi platform at a major … vibe coding Creative problem-solving and collaborative communication skills Right to work in the UK Desirable/Knowledge (not required) Experience or knowledge of NLP, LLMs, RAG, information retrieval or knowledge graphs Data engineering experience including APIs, SQL and working with messy real-world data Interest in manufacturing or industrial ...

Science, AI with human-in-the-loop, decision-making for complex systems, optimisation for LLMs, foundation models, dimensionality reduction, deep learning, uncertainty quantification, language, and developmental robotics. About You The Department is looking for an enthusiastic and self-motivated researcher and teacher to join a dynamic group of scientists. … Manchester Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Academia, Machine Learning, NLP, United Kingdom #J-18808-Ljbffr ...

organisations in more than 170 countries. Its AI Lab explores how generative AI can shape the future of Economist journalism. Задачи Fine-tune large language models for style and tone alignment with The Economist's editorial voice; Design, curate, and manage fine-tuning datasets, including versioning and annotation workflows … Partner with journalists and editors to develop evaluation metrics capturing The Economist's tone and style. Требования 3+ Years of experience building LLM or NLP pipelines; Experience with supervised fine-tuning, prompt tuning, or instruction tuning on proprietary datasets; Strong understanding of fine-tuning paradigms, from SFT to the principles ...

automation solutions—from discovery through to delivery and optimisation. Technical & Domain Expertise Hands‐on experience with Intelligent Automation technologies (e.g., RPA, AI/ML, NLP, IDP). Knowledge of on‐premise and cloud architectures. Understanding of business analysis methods such as BPMN and DMN. Awareness of RTA legislation and automation … within sustainability topics. Experience developing technical capabilities within teams. Design solutions across IDP, NLP, ML, RPA, workflow orchestration, and low‐code platforms. Assess client automation maturity and shape strategic roadmaps. Create compelling G2M materials and C‐Suite-level packs, alongside detailed solution architecture. Technical Tools & Platforms Experience with ...

extraction of side effect data from a range of documents. Your role will focus on developing and implementing machine learning and data processing pipelines for the extraction of safety data. The position provides a real opportunity to make a significant impact on a critical problem in drug discovery … global resource which will have a positive impact on research and development of safe drugs You might also have Experience with the application of NLP methods or LLMs to biomedical domain Experience with document and text preprocessing, cleaning and transformation techniques including mapping to ontologies Experience with data structures, data ...

RedTech Recruitment is seeking a Machine Learning Research Engineer specializing in NLP/LLM for a Cambridge-based role. You will explore and prototype advanced AI concepts, evaluating new approaches to NLP and related ML problems. The role demands a Ph.D. with strong NLP/ML background, publications, and hands ...

data. Collaborate with data scientists, analysts, and software engineers to ensure data availability, quality, and usability. Apply data parsing, extraction, and transformation techniques (e.g., NLP, OCR, image/audio processing). Implement data governance, metadata management, and data cataloging for unstructured data assets. Monitor and optimize data workflows ...

RedTech Recruitment is seeking a Machine Learning Research Engineer to explore cutting-edge NLP/LLM approaches in a Cambridge-based role. You will prototype and evaluate novel concepts, bridging academia and industry with a focus on classic ML methods and NLP applications. The position requires a PhD and strong ...

Elsevier is hiring a Senior Data Scientist to design and deliver advanced AI, NLP, and generative AI solutions that power knowledge discovery and decision support. You will work with large scientific datasets, apply LLM-based approaches, and collaborate across teams to produce production-ready systems with measurable user impact. ...

unusually strong fit. For this role, we conduct all interviews in Python. Representative Projects Testing the robustness of our safety techniques by training language models to subvert our safety techniques, and seeing how effective they are at subverting our interventions. Run multi‐agent reinforcement learning experiments to test … goes outside your job description Care about the impacts of AI Strong candidates may also: Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs Have experience with reinforcement learning Have experience with Kubernetes clusters and complex shared codebases Candidates need not have ...

Sensefolio is seeking an experienced NLP Engineer to design and implement NLP models for large-scale ESG textual data. You will collaborate with data scientists and developers to enhance ESG rating methodologies and data pipelines, while staying current with NLP and ML advancements. The role emphasizes developing robust models, documenting ...