126 to 150 of 286 Natural Language Processing Jobs in London

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. Условия Health & wellness health care coverage Generous time off Continuous ...

/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. ...

quasi-experiments, and causal inference methods (e.g., Pre/Post, causal impact, multivariate, multi-armed bandit) You have hands‐on experience building ML/NLP models at production scale (e.g., text classification, semantic similarity, quality scoring) You have advanced proficiency in SQL and Python, with ability to write clean, production ...

quasi-experiments, and causal inference methods (e.g., Pre/Post, causal impact, multivariate, multi‐armed bandit) You have hands‐on experience building ML/NLP models at production scale (e.g., text classification, semantic similarity, quality scoring) You have advanced proficiency in SQL and Python, with ability to write clean, production ...

Innovation Collaborate with Technology and AI teams to develop proof of concepts using emerging AI and ML technologies Drive innovation in technology strategy analytics: NLP for trend analysis, automated competitive intelligence, and predictive forecasting Develop AI‐powered capabilities for technology due diligence automation, market intelligence gathering, and strategic opportunity identification ...

organisation's AI services Specifically, you can expect to be involved in the following: Designing and maintaining scalable MLOps infrastructure that supports machine learning, NLP, knowledge representation, and AI applications. Deploying and managing machine learning models using Azure ML, Azure Kubernetes Service (AKS), and associated cloud technologies. Building and maintaining ...

Computer Science, Statistics, Mathematics, Economics, or similar Working knowledge of statistical and machine learning methods (e.g. logistic regression, gradient boosting, random forests, clustering, NLP Proficient in Python and/or R, with strong experience in data quality, model development and feature engineering Strong command of SQL and familiarity with data ...

Computer Science, Statistics, Mathematics, Economics, or similar Working knowledge of statistical and machine learning methods (e.g. logistic regression, gradient boosting, random forests, clustering, NLP Proficient in Python and/or R, with strong experience in data quality, model development and feature engineering Strong command of SQL and familiarity with data ...

capabilities, and skills Advanced degree (MS or PhD) in a quantitative or STEM discipline or significant practical experience in industry. Commercial experience in applying NLP, LLM and ML techniques in solving high-impact business problems, such as semantic search, information extraction, question answering, personalisation, classification, recommendation or forecasting. Advanced python … understanding of the foundational principles and practical implementations of ML algorithms such as clustering, decision trees, deep learning, reinforcement learning, etc. Strong knowledge of NLP, language modelling, prompt engineering, and domain adaptation. Ability to communicate complex concepts and results to both technical and business audiences. Preferred qualifications, capabilities ...

required depending upon region/BU requirements **What could set you apart*** Experience with specific AI techniques, such as neural networks or natural language processing.* Knowledge of the financial services industry.* Contributions to open-source AI projects.* Experience with data visualization tools.* Passion for data science, data mining ...

Contribute to multimodal and audio-focused AI projects Help define evaluation frameworks and model quality standards Your Skills & Experience Strong commercial experience building AI, NLP, or LLM-based products Hands-on experience with modern foundation models and AI frameworks Experience with fine-tuning, prompt engineering, or instruction tuning Strong Python ...

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/ ...

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 ...

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 ...

Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, or Java-based ML libraries) Strong problem-solving and communication skills Preferred Qualifications Experience with NLP, computer vision, or recommendation systems Familiarity with MLOps practices and model lifecycle management Knowledge of event-driven architectures (Kafka or similar) Experience with DevOps tooling … infrastructure as code Exposure to Generative AI and large language models Benefits What We Offer: Competitive Salary Bonus Scheme Private Healthcare Insurance 25 Days Annual Leave + Bank Holidays Up to 10 days allocated for development training per year Enhanced Parental Leave Paid Fertility Leave (5 Days) Statutory & Contributory ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Equities, Asset Management is a plus Key Responsibilities Develop and maintain Python-based AI applications Build and maintain document workflows using LLMs and classical NLP Debug model performance issues, handle edge cases, and optimize system reliability Write comprehensive tests and implement monitoring for AI/ML systems Example projects ...

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 ...