201 to 225 of 463 Natural Language Processing Jobs in the UK

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 ...

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 ...

experience with frameworks such as PyTorch, TensorFlow, and Hugging Face.Experience taking AI proof-of-concepts from idea to production.Strong knowledge of deep learning, NLP, and LLM architectures and experience in fine-tuning LLMs or training domain-specific models, RAG, embeddings, and vector databases.Familiarity with agentic AI concepts and orchestration frameworks.Experience ...

with frameworks such as PyTorch, TensorFlow, and Hugging Face. Experience taking AI proof-of-concepts from idea to production. Strong knowledge of deep learning, NLP, and LLM architectures and experience in fine-tuning LLMs or training domain-specific models, RAG, embeddings, and vector databases. Familiarity with agentic AI concepts ...

business value.Bonus Points ForParticipation in Kaggle or other data science competitions.Experience with MLOps practices (CI/CD, model monitoring, DevOps integration).Familiarity with advanced NLP frameworks such as spaCy or Transformers and exposure to AI technologies including Generative AI or LLMs.MSc or PhD in a numerate discipline.Financial services or banking ...

Bonus Points ForParticipation in Kaggle or other data science competitions. Experience with MLOps practices (CI/CD, model monitoring, DevOps integration).Familiarity with advanced NLP frameworks such as spaCy or Transformers and exposure to AI technologies including Generative AI or LLMs. MSc or PhD in a numerate discipline. Financial services ...

cloud platforms (AWS, Azure, or GCP) Experience of containerisation (Docker) and orchestration (Kubernetes) Exposure to data engineering tools/libraries (e.g. Pandas, NumPy) or NLP libraries Knowledge of message queues/event-driven architecture (e.g. RabbitMQ, Kafka) Understanding of CI/CD tools (e.g. Jenkins, GitHub Actions, Azure DevOps) Experience ...

solving mindset with the ability to operate independently and step up into a leadership vacuum when needed.What we prefer you have:Experience with advanced NLP techniques beyond prompt engineering, including fine-tuning and evaluation frameworks for generative models. Experience working in the (re)insurance industry, with an understanding of underwriting ...

mindset with the ability to operate independently and step up into a leadership vacuum when needed. What we prefer you have: Experience with advanced NLP techniques beyond prompt engineering, including fine‐tuning and evaluation frameworks for generative models. Experience working in the (re)insurance industry, with an understanding of underwriting ...

Experience designing, testing and deploying production-scale AI/ML solutions (APIs, microservices, cloud deployment, endpoint deployment, registries, pipelines)Experience with LLM based applications (NLP, embeddings, semantic search, RAG, Graph RAG, fine-tuning)Proficient in ML tools and modern ecosystem (PyTorch, MLFlow, FastAPI, SQL Alchemy)Experience retrieving data from structured ...

with datasets, ETL pipelines, and metrics definition Nice to have (but not essential) Experience with agentic workflow systems and complex orchestration patterns Background in NLP or contributions to open‐source AI/ML projects Experience with model fine‐tuning or custom training approaches Familiarity with MLOps platforms and experiment tracking ...

machine learning models, from problem framing and experimentation through to live deployment and monitoring. Technical depth: Apply strong statistical modelling, ML, and (where relevant) NLP/LLM techniques to solve real business problems, not just exploratory analysis. Experimentation and measurement: Design and run experiments (A/B testing, causal inference ...

analytical and problem-solving skills Excellent communication and teamwork abilities Genuine passion for AI and emerging technologies Desirable Skills Exposure to Generative AI, LLMs, NLP, or computer vision projects Knowledge of AWS, Azure, or GCP Familiarity with Docker, APIs, or Git workflowsFamiliarity with frameworks such as PyTorch, TensorFlow, or Scikit ...

machine learning models, from problem framing and experimentation through to live deployment and monitoring. Technical depth: Apply strong statistical modelling, ML, and (where relevant) NLP/LLM techniques to solve real business problems, not just exploratory analysis. Experimentation and measurement: Design and run experiments (A/B testing, causal inference ...

including working with datasets, ETL pipelines, and metrics definitionNice to have (but not essential)Experience with agentic workflow systems and complex orchestration patternsBackground in NLP or contributions to open-source AI/ML projectsExperience with model fine-tuning or custom training approachesFamiliarity with MLOps platforms and experiment tracking toolsExperience with ...

data, pricing services, scenario generation, or analytics input validation. Experience with observability, production support, automated controls, regression testing, reconciliation, model input validation, machine learning, NLP, or responsible AI applications in financial analytics. CFA, FRM, CQF, or other relevant professional qualification. About S&P Global Market Intelligence At S&P Global ...

market data, pricing services, scenario generation, or analytics input validation.Experience with observability, production support, automated controls, regression testing, reconciliation, model input validation, machine learning, NLP, or responsible AI applications in financial analytics.CFA, FRM, CQF, or other relevant professional qualification.About S&P Global Market IntelligenceAt S&P Global Market Intelligence ...

TypeScript, Python, C#, or similar technologies, with experience building scalable application programming interfaces, microservices, and distributed systemsPractical experience building enterprise AI applications using large language models, including agents, retrieval augmented generation, orchestration frameworks, and model optimizationDemonstrated ability to own services, components, or features end to end, from technical design … delivery of assigned features and components end to end, from technical design through deployment, monitoring, production support, and continuous improvementBuild and enhance large language model application features using retrieval augmented generation, orchestration frameworks, evaluation methods, agentic workflows, and tool integrationContribute to technical designs, participate in design reviews, and identify ...

study: Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence and Robotics- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms … data modeling techniques- Excelling in coaching and mentoring team members- Embracing change and innovation in technology consulting- Developing skills in neural networks and natural language processingTravel RequirementsUp to 80%Job Posting End DateThe salary range for this position is: $99,000 - $232,000. Actual compensation within the range ...

Lead Technologist to join our rapidly expanding Data and Decision Support Capability. The Data and Decision Support Capability has teams working in: reinforcement learning NLP/LLMs knowledge graphs and graph based neural networks AI for RF and EW, radar, sonar, acoustics, AI for image and video recognition tasks. … candidates with experience in one or more of the following domains: AI/ML for imagery including applied to remote sensing applications. Reinforcement learning. Natural Language Processing. Large Language Models. Knowledge graphs and graph-based neural nets. AI/ML for RF and EW, radar, sonar, acoustics. ...

Lead Technologist to join our rapidly expanding Data and Decision Support Capability. The Data and Decision Support Capability has teams working in: reinforcement learning; NLP/LLMs; knowledge graphs and graph based neural networks; AI for RF and EW, radar, sonar, acoustics, AI for image and video recognition tasks. … candidates with experience in one or more of the following domains: AI/ML for imagery including applied to remote sensing applications. Reinforcement learning. Natural Language Processing. Large Language Models. Knowledge graphs and graph-based neural nets. AI/ML for RF and EW, radar, sonar, acoustics. ...

scalable AI workflows. Proficiency in prompt engineering and optimization techniques. Some UI/UX experience is a plus. Preferred Qualifications Preferred Experience in NLP, computer vision, or multimodal AI. Proven track record of deploying AI solutions at scale. Research background in generative AI models. What We Offer Work ...

expertiseHands-on experience building GenAI apps with LangChain and LangGraph, including agent design, state/memory management, and graph-based orchestration.Proficiency in ML/NLP and generative models; experience with embeddings, vector stores, RAG, and LLM integration/fine-tuning (OpenAI, LLaMA, Cohere, etc.)Strong coding in Python and experience ...

expertiseHands-on experience building GenAI apps with LangChain and LangGraph, including agent design, state/memory management, and graph-based orchestration.Proficiency in ML/NLP and generative models; experience with embeddings, vector stores, RAG, and LLM integration/fine-tuning (OpenAI, LLaMA, Cohere, etc.)Strong coding in Python and experience ...

/ML engineering or software development, with production AI deployment experience Degree in Computer Science (or equivalent) with strong AI/ML/NLP foundations Strong Python skills, familiarity with Java/Kotlin, and solid API design experience Hands-on experience with LangChain, LangGraph, and LLM APIs (OpenAI, Anthropic, etc. ...