226 to 250 of 336 Natural Language Processing Jobs in London

prompt registries, model and version governance, monitoring and alerting, and rollback strategies Architect and deploy scalable, reliable, and secure machine learning and large language model services integrated with strategic platforms and downstream consumers across APIs, batch, streaming, and event-driven patterns, meeting service level objectives Partner with product, operations … stakeholder management and teamwork skills, with the ability to drive outcomes in partnership with cross-functional teams Preferred Qualifications, Capabilities, and Skills Experience with NLP and generative AI, including large language models, retrieval-augmented generation, tool and function calling, agentic workflows, multi-agent orchestration, and related evaluation and safety ...

from research and experimentation through production deploymentResearch and train ML models that help investors assess and manage sustainability risksDesign and build real-time NLP pipelines using large language modelsDevelop evaluation frameworks and annotation tooling that drives continuous model improvementStay current with the latest research in NLP, LLMs, and estimation … building production ML systems, with exposure to sustainability and responsible investment problemsPractical experience with Machine Learning problems and Large Language ModelsPh.D. in ML, NLP or a relevant field or MSc in CS, ML, Math, Statistics, Engineering, or related fields and previous relevant work experienceProficiency in software engineering with Python ...

model and prompt registries, model and version governance, monitoring and alerting, and rollback strategiesArchitect and deploy scalable, reliable, and secure machine learning and large language model services integrated with strategic platforms and downstream consumers across APIs, batch, streaming, and event-driven patterns, meeting service level objectivesPartner with product, operations … ready documentationStrong stakeholder management and teamwork skills, with the ability to drive outcomes in partnership with cross-functional teamsPreferred Qualifications, Capabilities, and SkillsExperience with NLP and generative AI, including large language models, retrieval-augmented generation, tool and function calling, agentic workflows, multi-agent orchestration, and related evaluation and safety ...

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 ...

apply the latest AI techniques and lead complex projects in a dynamic environment. Ideal candidates possess strong Python and SQL skills with experience in NLP and GenAI. Competitive salary of £120,000-£140,000 with benefits including equity options and 25 days holiday. If interested, please reach ...

success in online data science competitions, such as KaggleExperience in one or more of deep learning, reinforcement learning, non-convex optimisation, Bayesian non-parametrics, NLP or approximate inferenceExcellent reasoning skills and mathematical ability are crucial: off-the-shelf methods don’t always work on our data so you will need ...

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 Benefits Competitive salary and equity in a fast‐growing start‐up We serve ...

their relevance to life sciences use cases; Expertise in structured and unstructured life sciences data, including clinical and real‐world datasets; Familiarity with NLP and deep learning techniques applied to biomedical data; Knowledge of Azure, AWS, or GCP and model deployment using MLOps frameworks; Strong Python and SQL programming skills ...

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 ...

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

tool assessments for relevant use cases. Where appropriate, onboard the right solutions into the platform.Effectively communicate advanced data science/ML concepts in simple language to the business stakeholders always focusing on its applicability to Fitch businessDevelop and deploy machine learning and gen AI solutions to meet enterprise goals … Python is essentialDeep understanding of Agentic AI systems and multi-agent architecturesProficiency in machine learning and and deep learning algorithms such as Deep learning, NLP, Neural networks, multi-class classifications, decision trees, support vector machines, Strong adherence to software and ML development fundamentals (e.g. code quality considerations, automated testing, source ...

research and experimentation through production deployment. Research and train ML models that help investors assess and manage sustainability risks. Design and build real‐time NLP pipelines using large language models. Develop evaluation frameworks and annotation tooling that drives continuous model improvement. Stay current with the latest research in NLP … systems, with exposure to sustainability and responsible investment problems. Practical experience with Machine Learning problems and Large Language Models. Ph.D. in ML, NLP or a relevant field; or MSc in CS, ML, Math, Statistics, Engineering, or related fields and previous relevant work experience. Proficiency in software engineering with Python ...

worry if you don’t tick every box. We’d still love to hear from you.Nice to haveAny exposure to AI-generated content, NLP outputs, or taxonomy/classification systems.An interest in HR technology, talent management, or how organisations think about skills and roles.Experience defining what “good” looks like ...

worry if you don't tick every box. We'd still love to hear from you. Nice to haveAny exposure to AI-generated content, NLP outputs, or taxonomy/classification systems. An interest in HR technology, talent management, or how organisations think about skills and roles. Experience defining what "good ...

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 Develop and improve … workflows. Build and iterate on agentic and multi‐step AI workflows using frameworks such as LangGraph and related orchestration tools. Apply modern techniques in NLP, Generative AI, Embeddings and semantic representations, Retrieval‐augmented generation (RAG), AI reasoning and workflow orchestration. Evaluate emerging AI models, tools, and frameworks and contribute recommendations ...

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 ...

statistical rigor and validity. Contribute to responsible AI practices, including bias, fairness, and risk evaluation Apply and adapt state‐of‐the‐art techniques in NLP, embeddings, and generative AI to production use cases. Evaluate and integrate emerging technologies into the team’s roadmap. Contribute to knowledge graph and semantic enrichment … knowledge graph and metadata integration strategy, linking research and health data for more context‐aware retrieval. Apply cutting‐edge research in information retrieval, NLP, embeddings, and generative AI to continuously evolve Elsevier’s discovery and evaluation stack. Work closely with product, engineering, and domain experts to define and deliver impactful ...

Contribute to responsible AI practices, including bias, fairness, and risk evaluation Generative AI & Applied Research Apply and adapt state-of-the-art techniques in NLP, embeddings, and generative AI to production use cases. Evaluate and integrate emerging technologies into the team’s roadmap. Contribute to knowledge graph and semantic enrichment … knowledge graph and metadata integration strategy, linking research and health data for more context-aware retrieval. Apply cutting-edge research in information retrieval, NLP, embeddings, and generative AI to continuously evolve Elsevier’s discovery and evaluation stack. Collaboration & Delivery Work closely with product, engineering, and domain experts to define ...

Scikit learn etc.)Have experience productionising machine learning models and/or AI solutionsAre an expert in one of predictive modelling, classification, regression, optimisation, NLP algorithms or recommendation systemsHave experience with SparkHave knowledge of DevOps technologies such as Docker and Terraform and ML Ops practices and platforms like ML FlowHave … statistical methodologiesHave great communication skillsNice to have:Experience with transport industry and/or geographical information systems (GIS)Experience with cloud infrastructureExperience with Large Language Models (fine tuning, RAG, agents)Experience with graph technology and/or algorithmsMore information:Enjoy fantastic perks like private healthcare & dental insurance, a generous ...

warning systems, customer segmentation and scoring, credit risk insights, or personalisation. • Strong understanding of AI and data science techniques, including statistical modelling, logistic regression, NLP, LLMs, Generative AI, and Agentic AI. • Strong track record of applying Agile product development methodologies. • Customer-centric mindset with a proven ability to build trusted … data ingestion APIs, data flows, analytics tech stack and data platform architecture.• Nice to have: programming skills in Python and SQL, with experience in processing and analysing large-scale datasets.Corporate Security ResponsibilityAll activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization ...

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 … organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis. Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams ...

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 … organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis. Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams ...

reproducibility and reliability. Drive architectural decisions for data‐intensive, AI‐driven applications, making sharp trade‐offs between cutting‐edge approaches and production readiness. Apply NLP and GenAI to extract structure from unstructured financial documents: credit agreements, indentures, and servicer reports. Build and deploy models that operate on structured finance data … with cloud infrastructure (AWS preferred) and modern MLOps practices. Commitment to people development: mentoring, performance conversations, and building high‐performing teams. Bonus: experience with NLP on financial contracts, RAG or LLM‐based applications on structured data, large‐scale loan data pipelines, or containerization tooling (Docker, Kubernetes, Terraform). Competitive salary ...

seeking a Head of AI to lead a team that designs and operatises graph-integrated generative AI architectures for healthcare workflows. You will bridge NLP pipelines, LLM-based reasoning, and knowledge graph grounding to produce outputs that are accurate, explainable, and suitable for use in regulated healthcare environments. This senior ...

organisation to recruit a Senior Data Scientist into a highly established product and technology team. This is an opportunity to work on advanced AI, NLP and Generative AI solutions supporting knowledge discovery, search and decision-making across complex scientific and healthcare-related datasets. The Role As a Senior Data Scientist … design, build and deliver advanced machine learning and Generative AI capabilities, with a particular focus on LLMs, Retrieval-Augmented Generation (RAG), information retrieval and NLP . You will work closely with data scientists, engineers and product teams to develop reliable AI systems that can operate against large-scale, content-rich ...