Natural Language Processing jobs in London
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- Huxley§London
- Experience working with LLMs, conversational AI, natural language analytics, or generative AI solutions.
- Working closely with senior leadership, you will help…
- DataAnnotationLondon
- Flexible schedule
- We are looking for an experienced Machine Learning Scientist - AI Trainer to help advance AI development.
- If you pass, you'll receive an email confirmation, and…
- DataAnnotationLondon
- Flexible schedule
- We are looking for an experienced Marketing Data Scientist - AI Trainer to help advance AI development.
- AI models are increasingly capable of performing complex…
- JPMorganChaseLondon E14 5JP
- Published research in areas of natural language processing, deep learning, or reinforcement learning at a major conference or journal.
Research Scientist, Provenance, DeepMind
Often replies in 5 daysDeepMindLondon- Experience in scripting languages and pipelining tools.
- PhD in Machine Learning or equivalent research/industry experience.
- View all DeepMind jobs - London jobs - Research Scientist jobs in London
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- CGIUnited Kingdom
- Company pension
- Shape the future of AI with CGI, helping organisations solve complex business challenges through innovative, responsible, and impactful solutions.
- JPMorganChaseLondon E14 5JP
- In this role, you will shape firmwide learning, awareness, and change efforts that build practical AI literacy and support responsible adoption.
- DeloitteLondon
- The role involves working on new and existing projects and products, delivering insights to clients, and utilising data to make smarter, better decisions.
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- DeloitteLondon
- The role involves working on new and existing projects and products, delivering insights to clients, and utilising data to make smarter, better decisions.
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- Proven experience leading complex data science, Agentic & Generative AI, and analytics projects, delivering value across the ML lifecycle using strong…
- View all Capgemini jobs - London jobs - Data Science Manager jobs in London
- Salary Search: AI & Data Science Manager / Senior Manager salaries in London
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- ByteDanceLondon
- Partner with regional Sales Teams to qualify leads, identify client's pain points and create technical solutions that eventually deliver business results to…
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Software Engineer, AI/ML, PhD, Early Career
Often replies in 5 daysGoogleLondon- We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking…
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Applied AI Engineer
Often replies in 5 daysGoogleLondon- Experience developing and deploying multilingual natural language processing models.
- 6 years of experience with software development using Python or similar…
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Software Engineer III, GenAI Data Operations Research, XR
Often replies in 5 daysGoogleLondon- We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking…
- Wise Australia InvestmentsLondon
- You will be responsible for label side quality, label monitoring, statistical integrity, and designing robust audit processes to ensure our ML infrastructure…
- Goldman SachsLondon
- Employee assistance programme
- In this role, you will have the opportunity to contribute to various AI/ML domains, including but not limited to machine learning, deep learning, natural…
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Job Post Details
Data Scientist (AI & Conversational Analytics) - job post
London•Hybrid work
£90,000 a year - Permanent
You must create an Indeed account before continuing to the company website to apply
Job details
Pay
- £90,000 a year
Job type
- Permanent
Location
London•Hybrid work
Full job description
Data Scientist (AI & Conversational Analytics) Hybrid - 1 day per week in office A leading global organisation is seeking an experienced Data Scientist to help shape the future of enterprise analytics and AI-enabled decision making. This is a unique opportunity to play a key role in the development of trusted, conversational analytics solutions powered by AI and advanced data modelling. Working closely with senior leadership, you will help transform complex business data into intuitive, natural language insights while ensuring the highest standards of governance, accuracy, and explainability. Key Responsibilities
- Design and deliver AI-powered conversational analytics solutions using enterprise data models and business intelligence platforms.
- Develop trusted, fact-based insight experiences that minimise AI hallucinations and provide clear, explainable outputs.
- Partner with data, BI, and technology teams to optimise semantic models for AI readiness.
- Apply data science, machine learning, NLP, and advanced analytics techniques to enhance insight generation and anomaly detection.
- Contribute to the organisation's long-term Data & AI strategy, influencing senior stakeholders and executive leadership.
- Establish best practices, standards, and governance frameworks for responsible AI adoption.
- Coach and support analytics teams in developing AI-ready modelling and insight capabilities.
- Strong experience in Data Science, Machine Learning, Applied Analytics, or a related field.
- Proven ability to develop strategy and influence senior stakeholders, including executive-level audiences.
- Hands-on experience with enterprise data modelling, semantic layers, and business intelligence platforms (Power BI experience highly desirable).
- Experience working with LLMs, conversational AI, natural language analytics, or generative AI solutions.
- Deep understanding of data governance, data quality, statistical validation, and AI risk management.
- Comfortable operating in evolving environments where you can shape direction and define solutions.
- Microsoft Copilot, Azure OpenAI, or similar AI platforms.
- Retrieval-Augmented Generation (RAG) and semantic grounding techniques.
- Executive-level analytics solutions and trusted AI implementations.
- Highly regulated or data-governed environments.
- Opportunity to influence enterprise-wide AI and analytics strategy.
- Exposure to executive stakeholders and high-impact business initiatives.
- A collaborative environment focused on innovation, data-driven decision making, and responsible AI adoption.
- Hybrid working with flexibility and a strong commitment to professional development.
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