126 to 150 of 269 Natural Language Processing Jobs in London

implement LLM-powered applications & enrichments, multi-agent workflows, and autonomous AI systems that directly impact our users' experiences. Your work will involve orchestrating large language models, building sophisticated prompt engineering frameworks and fine-tuning. You’ll be responsible for deploying and operating these LLM applications at scale, ensuring they … engineering, software development, or related technical roles with demonstrable experience building and deploying AI-powered applications - Good theoretical knowledge of AI, ML and NLP principles as demonstrated by a bachelor's or master's degree in computer science or equivalent degree. - Strong programming proficiency in Python and familiarity with Java ...

decisioning and drive data quality issues before they become delivery problems Design end to end decisioning solutions Translate model outputs and complex logic into language non-technical stakeholders can understand and trust Mentor junior team members and build decisioning capability across the practice Contribute to business development — shaping proposals … Comfortable working with messy, incomplete requirements and driving clarity through action English fluency and comfort working in global, cross-functional teams Preferred Experience with NLP, computer vision, or multimodal AI models Knowledge of AI safety, guardrails, and responsible AI practices in production Familiarity with Snowflake, Databricks, or similar data platforms ...

Excellence, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including time series analysis, reinforcement learning, causal inference, and natural language processing. You will collaborate with various teams and actively participate in our knowledge sharing community. We are looking for someone who excels ...

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/ ...

Extensive hands‐on experience as an individual contributor in ML engineering, with a proven track record of shipping production AI systems. Deep expertise in NLP, Computer Vision, and/or Multimodal LLM algorithms, with a strong foundation in statistics, optimization, and ML theory. Practical experience implementing distributed, multi‐threaded ...

infrastructure, open-source stewardship, and generative AI innovation. For over a decade, Bloomberg has been at the forefront of applying Artificial Intelligence, ML, and NLP to financial intelligence, powering products in sentiment analysis, classification, document understanding, recommendation, and generative AI. Critical to this effort are our AI platforms, which enable ...

cloud infrastructure, open‐source stewardship, and generative AI innovation. For over a decade, Bloomberg has been at the forefront of applying AI, ML, and NLP to financial intelligence, powering products in sentiment analysis, classification, document understanding, recommendation, and generative AI. Critical to this effort are our AI platforms, which enable ...

parametric uncertainty quantification, Bayesian estimation) and causal inference, with experience designing both controlled experiments and observational studies. Experience applying machine learning, statistical modelling, NLP and LLM-based techniques to analyse customer behaviour and conversational data, diagnose root causes and identify the drivers of outcomes. Experience designing measurement frameworks for complex ...

Fabric or Databricks through coursework, projects, internships or early‐career work; familiarity with scikit‐learn, Spark, dbt, Power BI or comparable tools is useful. NLP, information extraction, embeddings, document analysis, network or graph analysis, or time‐series project experience. A portfolio, dissertation, research paper, competition entry or other evidence ...

that support business requirements, ranging from predictive modelling to Generative AI applications. LLM Integration: Operationalise Large Language Models (e.g., GPT, Llama, Mistral) and NLP workflows (BERT, topic modelling) for production environments. Agentic & Multi-Agent Systems: Design and orchestrate autonomous agentic workflows (using frameworks like LangChain, AutoGen, or CrewAI) that … data technologies (Spark, Kafka, Parquet), and web frameworks for model serving (e.g. Flask or FastAPI). Data Science: Familiarity or experience with classical NLP techniques (BERT, topic modelling, summarisation), statistical analysis, and knowledge graphs. Deep Learning: Familiarity or experience with Deep Learning (TensorFlow, PyTorch). What We Offer: Competitive Salary ...

Solirius Reply, part of the Reply Group, is seeking an AI Data Scientist to build intelligent, data-driven products. You will design, develop and deploy machine learning models, collaborating with data engineering, analytics, product, and ...

/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 ...

Azure DevOps. Strong Software development skills. Ideally Python, Javascript and or other. Good understanding of machine learning fundamentals Good understanding of LLMs and NLP Experience with agentic AI and ability to solutions into existing workflows and business systems. Experience with third-party AI platforms and tools, including building proofs ...

assets using Microsoft Fabric and Databricks. Designing scalable lakehouse data models and governed datasets. Conducting exploratory data analysis and developing machine learning models. Applying NLP, entity resolution and information extraction techniques to document-heavy datasets. Deploying analytical solutions into production through APIs, pipelines and data products. Implementing data quality, monitoring ...

governance, and the need for human-in-the-loop review. Experience in forecasting and nowcasting techniques is highly advantageous, as is expertise in financial NLP and fine-tuning. A background in quant finance or systematic strategies is desirable, providing a unique perspective on financial market modeling. Excellent communication and collaboration ...

quantitative discipline. Demonstrate extensive hands-on experience in ML engineering, with a proven track record of shipping production AI systems. Bring deep expertise in NLP, Computer Vision, and/or Multimodal LLM algorithms, with a strong foundation in statistics, optimization, and ML theory. Apply practical experience implementing distributed, multi-threaded ...

technologies, e.g. SQL/no-SQL, Kubernetes (or similar containerised environments), etc. Ability to self-organise and work independently. Nice to have Experience with NLP, LLMs, or other AI and machine-learning systems. A background in machine learning, statistics, or mathematics. Infrastructure-heavy projects, complex data pipelines, desktop applications, front ...

Microsoft, Oracle, or similar platforms. Background in change management, organisational design, or enterprise transformation Experience with AI/ML concepts beyond LLMs, including NLP, RAG architectures, and model evaluation frameworks A get-things-done mindset with strong bias for action — comfortable operating in unstructured fast moving environments #J-18808-Ljbffr ...

years in applied ML or data science, with models shipped to production. Strong Python, PyTorch or similar, and solid statistics for evaluation. Hands-on NLP and LLM work: fine-tuning, embeddings, classification and LLM-as-judge. Experience measuring fuzzy problems, including labelling, agreement and drift. Clear communication of trade-offs ...

Microsoft, Oracle, or similar platforms. Background in change management, organizational design, or enterprise transformation Experience with AI/ML concepts beyond LLMs, including NLP, RAG architectures, and model evaluation frameworks A get-things-done mindset with strong bias for action — comfortable operating in unstructured fast moving environments #J-18808-Ljbffr ...

Microsoft, Oracle, or similar platforms.* Background in change management, organisational design, or enterprise transformation* Experience with AI/ML concepts beyond LLMs, including NLP, RAG architectures, and model evaluation frameworks* A get-things-done mindset with strong bias for action — comfortable operating in unstructured fast moving environmentsUnleash Your PotentialWhen ...

Microsoft, Oracle, or similar platforms. Background in change management, organisational design, or enterprise transformation Experience with AI/ML concepts beyond LLMs, including NLP, RAG architectures, and model evaluation frameworks A get-things-done mindset with strong bias for action — comfortable operating in unstructured fast moving environments Unleash Your Potential ...

Microsoft, Oracle, or similar platforms. Background in change management, organizational design, or enterprise transformation Experience with AI/ML concepts beyond LLMs, including NLP, RAG architectures, and model evaluation frameworks A get-things-done mindset with strong bias for action — comfortable operating in unstructured fast moving environments Unleash Your Potential ...

that support business requirements, ranging from predictive modelling to Generative AI applications. LLM Integration: Operationalise Large Language Models (e.g., GPT, Llama, Mistral) and NLP workflows (BERT, topic modelling) for production environments. Agentic & Multi-Agent Systems: Design and orchestrate autonomous agentic workflows (using frameworks like LangChain, AutoGen, or CrewAI) that … data technologies (Spark, Kafka, Parquet), and web frameworks for model serving (e.g. Flask or FastAPI). Data Science: Familiarity or experience with classical NLP techniques (BERT, topic modelling, summarisation), statistical analysis, and knowledge graphs. Deep Learning: Familiarity or experience with Deep Learning (TensorFlow, PyTorch). Benefits Package and Benefits: Competitive ...