3 of 3 Natural Language Processing Jobs in Bolton

data exchange and processing (ETL, ESB, APIs). Proficiency in Python or similar programming languages. Familiarity with big data frameworks (e.g., Hadoop ecosystem). Desirable Skills: Understanding of NLP (Natural Language Processing) and OCR (Optical Character Recognition). Exposure to Generative AI concepts and tools. Experience with containerisation (e.g., Docker). Background in the industrial or More ❯

of Conversational AI with ConnexAI As a Data Scientist on the Text-to-Speech (TTS) team, you will shape the voice of ConnexAI, bringing conversational intelligence to life through natural, expressive, and humanlike speech generation. You’ll research, design, and train SOTA TTS models that combine neural acoustic modelling, LLMs, and multimodal learning to produce voices that sound truly … define the future of human–AI interaction. Core Responsibilities Research, design, and train SOTA LLM-based and neural TTS models, combining diffusion, flow-matching, or autoregressive architectures for ultra-natural speech generation. Explore and implement expressive prosody modelling, emotion-conditioned synthesis, and speaker cloning for personalised voice experiences. Develop text–audio alignment and context-aware TTS pipelines that adapt … ensuring low latency and high perceptual quality for live conversational systems. Support deployment of models across ConnexAI’s AI Voice and Conversational AI platforms, ensuring seamless integration with ASR, NLP, and dialogue systems. Stay current with cutting-edge research in neural TTS, speech synthesis, and generative modelling, rapidly translating new ideas into production-ready improvements. Requirements MSc or PhD in More ❯

at every stage. You’ll work within MBDA’s IM GenAI Delivery Office , contributing to the design and deployment of resilient, secure, and responsive data pipelines supporting AI and NLP initiatives. You’ll collaborate closely with internal stakeholders, leveraging your expertise in structured and unstructured data to ensure compliance with MBDA’s data governance standards, while actively shaping the organisation … Ensure data compliance and governance across multiple systems and workflows. • Work with SQL, noSQL, ETL, and API-based data exchange frameworks. • Support innovation by exploring and integrating Generative AI, NLP, and OCR technologies. • Contribute to the adoption of modern big data and containerisation technologies. Skills & Experience • Proven experience with SQL technologies (e.g. MS SQL, Oracle). • Experience with noSQL databases … Neo4J). • Strong data exchange and processing expertise (ETL, ESB, API). • Programming experience, ideally in Python. • Understanding of big data technologies (e.g. Hadoop stack). • Knowledge of NLP and OCR methodologies. • Familiarity with Generative AI concepts and tools (advantageous). • Experience with containerisation (e.g. Docker) is desirable. • Background in industrial and/or defence sectors (advantageous). What More ❯