1 to 25 of 33 Natural Language Processing Jobs in Central London

into different data lakes and with different software solutions (Snowflake, Azure, SQL, Python); Provide the handling of (and where needed training of) Large Language Models (LLMs … Extract, Transform, and Load (ETL) of large corpus of data into a data lake; Participate in the Natural Language Processing (NLP) extract of unstructured data into structured meta-data through the use of tools such as Semantic understanding and meaning (Python, use of REST API); Support ensuring ...

into different data lakes and with different software solutions (Snowflake, Azure, SQL, Python). Provide the handling of (and where needed training of) Large Language Models (LLMs … Extract, Transform, and Load (ETL) of large corpus of data into a data lake. Participate in the Natural Language Processing (NLP) extract of unstructured data into structured meta-data through the use of tools such as Semantic understanding and meaning (Python, use of REST API). Support ...

FreeSWITCH or Asterisk communication engines. Speech AI Integration: Implement Speech-to-Text (STT), Text-to-Speech (TTS), and Natural Language Processing (NLP) workflows into live voice streams. Cloud Operations: Deploy and monitor voice applications across AWS, Azure, and Google Cloud Platform (GCP). Troubleshooting: Use network analysis … drops, and latency problems. Team Collaboration: Work alongside senior architects and DevOps teams to roll out scalable conversational AI bots. Required Skills & Qualifications Core Language: Professional experience with Java, including multi-threading and network programming. In depth knowledge of Java Good knowledge of java applications using JAIN SLEE framework ...

leading AI technology company developing cutting-edge software solutions. This is a specialist Python-focused engineering role with a strong Machine Learning and Large Language Model (LLM) focus, ideal for a Python Engineer who has experience working with ML/LLM technologies. You will work alongside Software Engineers, Machine … Learning/Artificial Intelligence/GPU Optimisation/Model Inference/Model Acceleration/Deep Learning/Natural Language Processing/NLP/Generative AI/Computer Science/Mathematics/Physics/Engineering/Machine Learning Degree RedTech Recruitment Ltd focus on finding roles for Engineers ...

focus on robust prototyping. We have pioneered the application of new analytical approaches in the Bank of England, such as generative AI, machine learning, natural language processing, agent-based models, network analytics, and randomised control trials. We’re looking for someone with ML/AI expertise ...

engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work … create Google’s next generation of AI products. Our small, product-driven teams focus on rapid innovation to support Google’s core mission. The Language Applications team manages a portfolio, including high-profile launches such as AI Studio, NotebookLM and the Gemini API for developers. Labs Science ...

. Experience developing AI/GenAI solutions utilizing AI tools, or designing multi-agent workflows or RAG systems. Experience developing and deploying multilingual natural language processing models. Preferred qualifications: Experience in debugging Agent logic (ReAct loops, Chain of Thought) and optimizing tool selection. Experience with troubleshooting live ...

experience with data structures and algorithms. 3 years of experience in a technical leadership role leading project teams and setting technical direction. Experience processing time-series, wearable/sensor, or biometric data. Experience with advanced GenAI paradigms, including flat agent orchestration, single-agent reasoning loops, tool-use/function … engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work ...

engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile the list goes on and is growing every day. As a software engineer, you will work ...

engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large‐scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work ...

validation of Agentic AI-driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning, NLP, and large language models (LLMs) to solve complex Intellectual Property (IP) workflows. You will help drive experimentation, modeling, and evaluation, partnering closely with engineers … translate validated approaches into scalable, customer-facing solutions. Key Responsibilities: Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies, patent search). Define agentic workflows and reasoning strategies for multi-step IP tasks. Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g. ...

validation of Agentic AI-driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning, NLP, and large language models (LLMs) to solve complex Intellectual Property (IP) workflows. You will help drive experimentation, modeling, and evaluation, partnering closely with engineers … translate validated approaches into scalable, customer-facing solutions. Key Responsibilities: Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies, patent search). Define agentic workflows and reasoning strategies for multi-step IP tasks. Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g. ...

with the ability to personally contribute high-quality production code while guiding technical direction Deep hands-on expertise building enterprise AI applications using large language models, AI agents, retrieval-augmented generation, prompt engineering, orchestration frameworks, evaluation methods, and model optimisation techniques Proven ability to take complex AI solutions from … application programming interfaces, data pipelines, inference pipelines, and platform capabilities that support real-time and batch AI workloads at enterprise scale Implement advanced large language model applications using retrieval-augmented generation, prompt orchestration, evaluation frameworks, model optimisation, agentic workflows, and tool integration Make key technical decisions while remaining accountable ...

Machine Learning, AI, Data Science, Data Engineering and SaaS environments. Experience leading technical teams, including some people management responsibility. Strong experience working with NLP, LLMs and other modern AI/ML solutions. Strong technical background across Data, Development and Cloud, ideally with Python and Azure. Previous experience taking ML/ ...

Machine Learning, AI, Data Science, Data Engineering and SaaS environments. Experience leading technical teams, including some people management responsibility. Strong experience working with NLP, LLMs and other modern AI/ML solutions. Strong technical background across Data, Development and Cloud, ideally with Python and Azure. Previous experience taking ML/ ...

certifications such as Microsoft, Oracle, or similar platforms.Background in change management, organizational design, or enterprise transformationExperience with AI/ML concepts beyond LLMs, including NLP, RAG architectures, and model evaluation frameworksA get-things-done mindset with strong bias for action — comfortable operating in unstructured fast moving environmentsUnleash Your PotentialWhen ...

/AI solutions and prototype robustly. The role focuses on informing policy through cutting-edge data science. The AA team applies generative AI, NLP, agent-based models and network analytics, encouraging collaborative problem solving and scalable deployments across the Bank's data platform. #J-18808-Ljbffr ...

available, with a salary range £45k to £95k DoE plus a 15% clearance bonus. The role requires hands-on expertise in machine learning, GenAI, NLP and cloud/DevOps tools, with opportunities to work on public and private sector projects and lead client engagements. #J-18808-Ljbffr ...

experience of delivering ML solutions to stakeholders. Demonstrate good understanding of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to undertake research and development beyond existing literature, with some support and technical direction set by seniors. Experience … training and developing AI models including Large Language Models. Ability to produce high-quality scientific (academic style) writing for internal & external publication. Problem solve with high levels of autonomy, with some input from technical leaders. Be a self-starter, being pro-active in finding solutions. Desirable Skills & Experience PhD. ...

solutions to customers and internal stakeholders. Demonstrate deep understanding of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to undertake research and development beyond existing literature. Experience of training and developing AI models including Large Language ...

plus 15% clearance bonus Must be willing to be full-time on-site in Central London Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client ...

clients and internal teams to deploy impactful AI capabilities. The role offers hybrid working with two days in Central London, and a focus on NLP/LLMs, data engineering, and scalable cloud architectures in FinTech contexts. #J-18808-Ljbffr ...

Data Scientist or in a closely related role Expert knowledge of machine learning, AI and statistical methods, applied across domains such as NLP, computer vision, audio, graphs, time-series or tabular data Strong Python skills and experience with common libraries (e.g. pandas, NumPy, scikit-learn, PyTorch, Transformers, statsmodels, PyMC) Understanding … Knowledge of ML engineering and MLOps practices (e.g. Docker, MLflow) Experience working in government, defence or other highly regulated environments Proven application of large language models (LLMs) to real-world problems Security Clearance This role requires UK Security Clearance. Applicants must either already hold clearance or be eligible ...

Elsevier seeks a Data Science Leader to define and lead AI and data science strategy across ML, NLP, search, and generative AI. You will guide teams through the full lifecycle from experimentation to production, aligning work to product goals and customer needs, while influencing senior stakeholders and shaping roadmaps. ...

contributing to the next generation of AI-powered scientific discovery tools. This role is ideal for someone with hands-on experience in applied AI, NLP, information retrieval, and LLM-based applications , who enjoys building innovative solutions and translating emerging AI techniques into impactful product capabilities. Key responsibilities Applied AI & Research … projects from research and experimentation through production deployment. Required qualifications Batchelor's, Master’s or PhD in Computer Science, Data Science, Machine Learning, NLP, Information Retrieval, or a related field Experience in data science, machine learning, applied NLP, information retrieval, generative AI, or a related field Hands-on experience with ...