101 to 125 of 229 Natural Language Processing Jobs in London

backend platform that underpins the core of the Xantura business. Key Responsibilities Continuously evolve the platform infrastructure powering all AI services (predictive modelling, NLP, knowledge representation, and agentic AI), ensuring reliable, scalable operation across a growing base of local authority clients. Deploy and manage ML models via Azure ML endpoints ...

delivering some of our most exciting Data Science projects aimed at improving our GTM efficiency and pricing practices: from prediction to ranking, segmentation to NLP, and recommendation systems to content generation. You will deliver the Data Science component of key strategic initiatives, including owning, maintaining, and deploying production-ready ...

ownership and continuous improvement Desirable Skills Experience with Microsoft Azure Exposure to AI/ML platforms or machine learning workloads Experience supporting LLM, NLP, or agent-based systems Experience with multi-container architectures Open-source contributions or technical mentoring experience Experience within highly regulated or scientific environments What ...

Spring; expertise in AWS, Azure, Google Cloud; Kubernetes and containerization. AI Expertise: Machine learning model development, GenAI models (e.g., GPT, BERT, DALL-E, GEMINI), NLP techniques. Big Data: Experience with Hadoop and Spark. Ethics: Knowledge of AI ethics and governance. Methodologies: Agile and Scrum project management. Other Requirements Verifiable Certification ...

Experience in Adtec, Media, or fraud detection. Hands‐on experience with LLM‐based systems and applied AI workflows, including RAG, agentic architectures, and other NLP techniques. #J-18808-Ljbffr ...

production features. ML Engineer/Applied Scientist – Own end‐to‐end ML projects from problem framing through to production deployment, specialising in a domain (NLP, vision, recommender systems, time‐series). Senior ML Engineer/Senior Scientist – Lead the technical design of major ML systems; mentor a small group ...

with data drift, silent failures, retraining cadences, and the gap between offline metrics and business outcomes. Deep, demonstrable expertise in at least one of: NLP/LLMs, computer vision, recommender systems, or causal inference. Hands‐on experience with LLM fine‐tuning (LoRA, RLHF, DPO) or building LLM‐powered systems (agents ...

similar Clear communicator who can influence without authority Nice to Have Experience with product analytics platforms (e.g. Amplitude, Mixpanel, or similar) Experience working with NLP, text analytics, or unstructured data at scale Experience building semantic search, relevance scoring, or interaction‐based evaluation systems Familiarity with prompt analytics, embedding‐based analysis ...

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 ...

Python, machine learning frameworks, and Generative AI/LLM components. Pipelines: Develop and optimize Retrieval-Augmented Generation (RAG) pipelines, vector databases, and scalable data processing streams. MLOps: Implement model deployment, monitoring, testing, and lifecycle management using standard CI/CD and containerized workflows. Architecture: Contribute to technical design decisions … Experience with MLOps platforms (e.g., MLflow, SageMaker) or agentic AI frameworks. Familiarity with secure development practices or regulated/high-compliance environments. Background in NLP, computer vision, or data engineering platforms. #J-18808-Ljbffr ...

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 ...

possess: Strong Programming Skills: Proficiency in languages such as Python, Java, or C++. AI Knowledge: Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and natural language processing. Analytical Mindset: Ability to analyse complex data sets and derive actionable insights. Problem-Solving Skills: A proactive approach to tackling challenges ...

value from data assets from discovery to deployment. Proficiency in Python and frameworks such as TensorFlow or PyTorch, plus experience with cloud platforms and NLP, are required. #J-18808-Ljbffr ...

NLP PEOPLE is seeking an Applied AI/ML Lead – Vice President – Machine Learning Engineer to advance AI in financial services. Located in Greater London, the role combines technical leadership with responsibilities in building scalable data science capabilities and collaborating with software engineering teams. Ideal candidates have 5+ years ...

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 ...

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 Rapidly prototype ...

record of designing and shipping impactful algorithms that deliver measurable business outcomes in a production environment. Deep expertise in applied ML for Search/NLP/IR/RecSys – both classical and deep learning based. Additional familiarity with explore/exploit/MAB algorithms, LLMs, and causal inference techniques ...

communicator who builds trust quickly, challenges constructively, and leads with empathy. Comfortable driving delivery in AI-enabled product teams, including workstreams that use LLMs, NLP, or data-driven decisioning systems. Key Attributes Pragmatic and outcome-focused, not process-driven. Data- and AI-aware - able to guide squads and stakeholders ...

Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies – simple natural-language rules that define what an AI model should and shouldn’t do. We automatically test, enforce, and continuously improve these policies at scale. … right in if you: Strong Python + SQL with an engineering mindset: you can build reliable pipelines, not just notebooks. Solid applied NLP/ML experience on real-world text: embeddings, clustering, topic modeling, semantic search, classification; you understand failure modes and how to debug them. Comfortable at scale: distributed ...

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 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 Pension EAP with Help ...

Paternoster Squaretime type: Full timeposted on: Posted 17 Days Agojob requisition id: R0118411Are you a hands-on data scientist with deep expertise in NLP and LLMs, strong Python coding skills, and a track record of deploying models to production? Do you thrive in building real-world AI solutions that … closely with collaborative teams to co-develop innovative products for financial markets and professionals.We're looking for someone who combines deep technical expertise in NLP and LLMs, strong Python engineering skills, and real-world experience shipping and supporting models in production. You should be comfortable owning delivery timelines and ensuring ...

operating in evolving environments where priorities can change quickly Strong communication and stakeholder management skills Desirable experience includes: Technical product management background Exposure to NLP, machine learning or AI technologies Experience within insights, research, advertising, media, analytics or data products Startup or scale-up experience Experience working with consumer ...

must already have the right to work in the UK. Company EntroMetrix Experience Level Senior (5+ years of experience) Tagged as Academia, Machine Learning, NLP, Parsing, United Kingdom #J-18808-Ljbffr ...

expertise. AI/ML Expertise: Deep subject‐matter expertise in applying modern AI/ML techniques to solve real‐world business problems. Experience with NLP, predictive modeling, or generative AI is highly desirable, especially in the context of Capital Markets. Domain Knowledge: A strong understanding of core banking, financial technology ...

expertise.*** **AI/ML Expertise:** Deep subject matter expertise in applying modern AI/ML techniques to solve real-world business problems. Experience with NLP, predictive modeling, or generative AI is highly desirable, especially in the context of Capital Markets.* **Domain Knowledge:** A strong understanding of core banking, financial technology ...