226 to 250 of 412 Natural Language Processing Jobs in the UK

management.** *Experience of leading teams following agile principles.** *Expert knowledge of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to propose research beyond existing literature.** *Experience of training and developing AI models including Large Language Models. ...

production impact with sophisticated ML challenges – Build ML systems that analysts and financial professionals actually use daily; solve hard problems at the intersection of NLP, document intelligence, reasoning systems, and production‐scale deployment; measure your impact in both model performance and business outcomes Accelerated career trajectory in AI leadership – High … from the ground up – Design and architect net‐new generative AI solutions, agentic workflows, and intelligent platforms using advanced ML frameworks (PyTorch, etc.), large language models, and emerging AI technologies that fundamentally change how analysts work and how Fitch operates Drive breakthrough AI innovation and experimentation boldly – Lead exploration ...

production impact with sophisticated ML challenges – Build ML systems that analysts and financial professionals actually use daily; solve hard problems at the intersection of NLP, document intelligence, reasoning systems, and production-scale deployment; measure your impact in both model performance and business outcomes Accelerated career trajectory in AI leadership – High … from the ground up – Design and architect net-new generative AI solutions, agentic workflows, and intelligent platforms using advanced ML frameworks (PyTorch, etc.), large language models, and emerging AI technologies that fundamentally change how analysts work and how Fitch operates Drive breakthrough AI innovation and experimentation boldly – Lead exploration ...

production impact with sophisticated ML challenges – Build ML systems that analysts and financial professionals actually use daily; solve hard problems at the intersection of NLP, document intelligence, reasoning systems, and production-scale deployment; measure your impact in both model performance and business outcomes Accelerated career trajectory in AI leadership – High … from the ground up – Design and architect net-new generative AI solutions, agentic workflows, and intelligent platforms using advanced ML frameworks (PyTorch, etc.), large language models, and emerging AI technologies that fundamentally change how analysts work and how Fitch operates Drive breakthrough AI innovation and experimentation boldly – Lead exploration ...

production impact with sophisticated ML challenges – Build ML systems that analysts and financial professionals actually use daily; solve hard problems at the intersection of NLP, document intelligence, reasoning systems, and production-scale deployment; measure your impact in both model performance and business outcomes Accelerated career trajectory in AI leadership – High … from the ground up – Design and architect net-new generative AI solutions, agentic workflows, and intelligent platforms using advanced ML frameworks (PyTorch, etc.), large language models, and emerging AI technologies that fundamentally change how analysts work and how Fitch operates Drive breakthrough AI innovation and experimentation boldly – Lead exploration ...

Anthropic SDK, AWS Bedrock, or CrewAI Experience in machine learning development, including training, evaluating, deploying, and monitoring models Experience with deep learning or NLP frameworks, such as PyTorch or Hugging Face Good understanding of software engineering principles, design patterns, and ML lifecycle practices, including MLOps or LLMOps Experience contributing … judge approaches Experience with Generative AI techniques such as retrieval-augmented generation, fine-tuning, or prompt engineering Exposure to distributed data processing frameworks, such as Spark Exposure to fraud detection, anti-money laundering, anomaly detection, or graph and network-based modelling Awareness of model risk management, governance, and regulatory ...

Anthropic SDK, AWS Bedrock, or CrewAI Experience in machine learning development, including training, evaluating, deploying, and monitoring models Experience with deep learning or NLP frameworks, such as PyTorch or Hugging Face Good understanding of software engineering principles, design patterns, and ML lifecycle practices, including MLOps or LLMOps Experience contributing … judge approaches Experience with Generative AI techniques such as retrieval-augmented generation, fine-tuning, or prompt engineering Exposure to distributed data processing frameworks, such as Spark Exposure to fraud detection, anti-money laundering, anomaly detection, or graph and network-based modelling Awareness of model risk management, governance, and regulatory ...

helping teams work better together throughAI-powered personalization that adapts to individual goals and organizational culture using the latest advances in machine learning and natural language processing. We\'ve been featured inHarvard Business Review, TIME, World Economic Forum, Financial Times, Forbes and an Inc. 5000 fastest-growing private … Exceptional client-facing skills —with a proven ability to build trust and drive outcomes with senior stakeholders, including C-suite and executive leaders. French language skills highly prioritized. Structured problem-solving ability —you can break down complex challenges, connect the dots, and craft solutions that drive results. Proven influence ...

operationalize ML models, deploy them in production, and work with structured and streaming data to derive actionable insights. Expect involvement in Generative AI and NLP initiatives. #J-18808-Ljbffr ...

partners, build advanced analytics solutions and mentor a growing team of data scientists. Candidate should have hands-on experience with real-time predictive models, NLP, Python and SQL, and familiarity with Databricks, Snowflake, and Azure. Strong communication skills are essential. #J-18808-Ljbffr ...

FinTech clients globally. You will guide ML/AI initiatives, collaborate with clients and internal teams, and own the AI/ML strategy. Strong NLP/LLM experience and deep Python/Azure skills are essential for success. #J-18808-Ljbffr ...

Intellectual Property Solutions (LNIP) seeks a Senior Data Scientist I to design and validate AI-driven capabilities within Protégé in PatentSight. You will lead NLP/LLM experiments, define agentic workflows, and partner with engineers to translate research into scalable, product-ready features. You will work on hybrid search, model ...

drive innovation through generative AI applications tailored to complex financial workflows. The ideal candidate will have strong Python proficiency and hands-on experience in NLP, along with a solid understanding of the GenAI landscape. This role offers substantial growth opportunities and a hybrid working model, making it perfect for those ...

data science with client-facing consultancy to help public sector clients use data and AI responsibly. You will work with Python, ML and NLP, design and evaluate AI solutions, mentor colleagues, and contribute to building maintainable data services. The role requires SC clearance and UK residency; salary range ...

data science with client-facing consultancy to help public sector clients use data and AI responsibly. You will work with Python, ML and NLP, design and evaluate AI solutions, mentor colleagues, and contribute to building maintainable data services. The role requires SC clearance and UK residency; salary range ...

Platform Delivery department. The role focuses on designing, training, and productionising ML models across multi-source datasets, with emphasis on embedding/RAG workflows, NLP and scalable services integrated into the OneView platform. The ideal candidate will have 3–5+ years in ML engineering, strong Python skills, experience with modern ...

data science with client-facing consultancy to help public sector clients use data and AI responsibly. You will work with Python, ML and NLP, design and evaluate AI solutions, mentor colleagues, and contribute to building maintainable data services. The role requires SC clearance and UK residency; salary range ...

science fundamentals and time-series forecasting Machine Learning: Strong grasp of ML and deep learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, BERT, LSTM, NLP, Transfer Learning) Machine Learning Engineer, XGBoost, GCP, Python, SQL, time-series forecasting Reasonable Adjustments: Respect and equality are core values to us. We are proud ...

technologies and helping shape an expanding research capability. Projects can move quickly and span areas including distributed systems, AI, observability, cloud-native technology, messaging, NLP and image processing. What we’re looking for: • A strong software engineering background, ideally with recent hands-on development experience • Strong Python skills and/ ...

ambiguity and define clarity Data & Technical Depth Experience with data models, pipelines, and analytics systems Familiarity with AI/ML or data extraction (e.g., NLP) preferred Comfortable working closely with engineering teams Execution Bias for action; able to go from idea to shipped product Strong prioritization and roadmap management Stakeholder ...

cases, design data pipelines and models, and lead end-to-end execution from discoveries through production and ongoing optimization Strong grounding in prompt engineering, NLP, optimization, and AI; proficiency with Python, model lifecycle; experience translating operational pain points into deployable solutions; excellent communication and storytelling; and a track record delivering ...

financial services and its data, regulatory and transformation challenges is seen as beneficial - we do however welcome experience from other industries. Experience using NLP, machine learning and semantic text mining to support advanced analytics, classification, inference and knowledge extraction, including appropriate use of AI-enabled techniques. Familiarity with mapping approaches ...

Scientific thinking skills Track record shipping ML products PhD or other experience in a research environment Deep experience in an applicable ML area - E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering Strong stats or math background At Fin, we want to give people what they need ...

practices, such as Docker, Terraform and MLFlow Confidence influencing and communicating with stakeholders across technical and non-technical teams Ideally, exposure to cloud infrastructure, NLP or large language models (such as fine-tuning, RAG or agents), graph technologies, or experience in the transport sector or with geographic information systems ...

prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges. Job Summary We’re seeking a versatile Senior Machine Learning Engineer with strong data engineering instincts … agentic workflows into our digital solutions. Our mission is to translate the latest advancements in AI into real business impact. Key Responsibilities LLM/NLP Model Development Deploy and fine tune LLMs models for domain-specific tasks. Build evaluation infrastructure and benchmarking pipelines to compare model performance across multiple datasets ...