financial infrastructure with modern technology are looking for an NLP Researcher to join their team. What You'll Be Doing Lead research initiatives in naturallanguage processing, focusing on designing, implementing, and fine-tuning large language models Develop novel approaches to code understanding and analysis using … ML/NLP models Create and evaluate representations that combine source code with naturallanguage elements Conduct experiments and literature reviews to enhance our language modeling capabilities Collaborate with cross-functional teams including data scientists, engineers, and product managers Mentor junior researchers and contribute to a positive … Master's or Ph.D. in Computer Science, Data Science, Statistics, or related field 3-5 years experience in NLP subdomains like sentiment analysis or naturallanguageunderstanding Proficiency in Python and relevant libraries (TensorFlow, PyTorch, Hugging Face, etc.) Strong understanding of machine learning engineering and software More ❯
, purposeful dialogue flows across chat, voice, and other channels. Apply naturallanguage processing (NLP) and naturallanguageunderstanding (NLU) techniques such as intent recognition, entity extraction, sentiment analysis, and named entity recognition to inform conversation logic. Design effective, brand-aligned prompts and interactions for … large language models (LLMs), including GPT-based systems. Leverage knowledge of AI and machine learning principles to collaborate confidently with technical teams and refine AI behavior. Maintain a strong focus on clarity, tone, and emotional intelligence in all user-facing language. Help Experience Lead the design of conversational help … workload, and support the broader team wherever needed. What We're Looking For Strong expertise in conversational design, including experience with AI, NLP/NLU, and LLMs. Exceptional writing and editing skills-able to craft user-focused content that is clear, accessible, and empathetic. A T-shaped designer with deep More ❯
, purposeful dialogue flows across chat, voice, and other channels. Apply naturallanguage processing (NLP) and naturallanguageunderstanding (NLU) techniques such as intent recognition, entity extraction, sentiment analysis, and named entity recognition to inform conversation logic. Design effective, brand-aligned prompts and interactions for … large language models (LLMs), including GPT-based systems. Leverage knowledge of AI and machine learning principles to collaborate confidently with technical teams and refine AI behavior. Maintain a strong focus on clarity, tone, and emotional intelligence in all user-facing language. Help Experience Lead the design of conversational help … workload, and support the broader team wherever needed. What We're Looking For Strong expertise in conversational design, including experience with AI, NLP/NLU, and LLMs. Exceptional writing and editing skills-able to craft user-focused content that is clear, accessible, and empathetic. A T-shaped designer with deep More ❯
london (city of london), south east england, united kingdom
McGregor Boyall
, purposeful dialogue flows across chat, voice, and other channels. Apply naturallanguage processing (NLP) and naturallanguageunderstanding (NLU) techniques such as intent recognition, entity extraction, sentiment analysis, and named entity recognition to inform conversation logic. Design effective, brand-aligned prompts and interactions for … large language models (LLMs), including GPT-based systems. Leverage knowledge of AI and machine learning principles to collaborate confidently with technical teams and refine AI behavior. Maintain a strong focus on clarity, tone, and emotional intelligence in all user-facing language. Help Experience Lead the design of conversational help … workload, and support the broader team wherever needed. What We're Looking For Strong expertise in conversational design, including experience with AI, NLP/NLU, and LLMs. Exceptional writing and editing skills-able to craft user-focused content that is clear, accessible, and empathetic. A T-shaped designer with deep More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Opus Recruitment Solutions
audio datasets. Apply ML audio and DSP techniques to clean, segment, and filter speech data. Manage large-scale cloud data storage with a deep understanding of cost-performance tradeoffs. Build scalable ML training pipelines in PyTorch using large datasets. Contribute to research and development of generative voice and speech … pipelines to evaluate model performance on audio data. ✅ What We’re Looking For PhD in a relevant field (e.g., Deep Generative Models, TTS, ASR, NLU), or equivalent industry experience. Deep expertise in voice conversion, generative models, deep learning, or statistical modeling. Strong hands-on experience with ML frameworks (PyTorch, TensorFlow More ❯
