76 to 86 of 86 Natural Language Processing Jobs in London

such as PyTorch, ensuring scalability and reliability in high‐traffic environments Build and deploy production AI Agents using raw and fine‐tuned foundational Large Language Models (LLMs), along with sub‐agents, tools, and MCP integrations Architect end‐to‐end ML pipelines, integrating data processing (e.g., Spark, Airflow) with … framework (e.g., PyTorch, TensorFlow), with experience in areas such as recommendation systems, ranking models, or NLP. Expertise in prompting and fine‐tuning Large Language Models (LLMs) and building production AI Agents. Proven experience designing scalable data and ML pipelines using tools such as Spark, Airflow, or similar distributed systems. ...

responsibilities include: Leading a team of Data Scientists and AI specialists Defining Data & AI strategy and technical direction Designing and delivering Machine Learning, NLP, GenAI and RAG-based solutions Working directly with senior business stakeholders and clients Translating complex technical concepts into clear business language Driving delivery ...

impactful projects. Description Data Scientist - London Build and deploy machine learning models used in real-world applications Work with both structured data and text (NLP) to generate insights Design and maintain data pipelines and production-ready systems Apply statistical methods to evaluate models and ensure reliability Collaborate with domain experts … write clean, production-quality code Solid grounding in statistics (not just surface-level understanding) Experience with machine learning, including classical models and some modern NLP approaches Experience building models that are actually used in production Comfortable working with real-world, messy datasets. Familiarity with data pipelines, deployment, and maintaining ...

impactful projects. Description Data Scientist - London Build and deploy machine learning models used in real-world applications Work with both structured data and text (NLP) to generate insights Design and maintain data pipelines and production-ready systems Apply statistical methods to evaluate models and ensure reliability Collaborate with domain experts … write clean, production-quality code Solid grounding in statistics (not just surface-level understanding) Experience with machine learning, including classical models and some modern NLP approaches Experience building models that are actually used in production Comfortable working with real-world, messy datasets. Familiarity with data pipelines, deployment, and maintaining ...

DevSecOps — and operationalize them across squads. Represent Engineering in cross‐functional planning, executive reviews, and customer conversations. Translate technical risk and opportunity into business language for the executive team and the board. Partner with Security, Legal, and Trust & Governance to maintain enterprise‐grade compliance posture for a customer base … model cost, latency, and quality trade‐offs. Experience with large‐scale data ingestion, ETL/ELT, and analytics platforms (e.g., web crawling at scale, NLP pipelines, taxonomy and skills extraction). Prior experience in HR Tech, workforce planning, talent intelligence, or labor market analytics. Experience operating in a private‐equity ...

relevant experience Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus Capacity to multi-task in a fast paced environment while keeping strong attention to detail Coding skills required … least one leading programing language (Python, R, Matlab and/or C++, C#) Experience in exploring large datasets across multiple time frames is a plus Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields Capacity to work with ...

decisively when the path forward is unclear. You should apply if... You have deep expertise across a range of ML techniques (e.g. Transformer‐based NLP, Deep Learning, Tree‐based methods, Bayesian modelling) and the judgment to select solutions that balance theoretical soundness against engineering practicality. You have a proven track … team or area, making high‐stakes build‐vs‐buy decisions, and influencing roadmaps beyond your immediate team. You bring mastery of a production‐grade language (e.g. Python, C#, or Go), with a focus on extensible, modular components and a strong instinct for system design. You are a natural ...

launching software products, as well as software design and architecture. Experience with different programming languages and a good grasp of at least one language, such as Python. Customer focus with the right … balance between outcome delivery and technical excellence. Ability to apply technical skills and know‐how to solving real‐world business problems. Good understanding of NLP processing. Proficiency in the English language. Preferred Qualifications A background or strong understanding of the retail sector, logistics, and/or e‐commerce. Recent professional ...

Machine Learning Engineer, NLP | InsurTech, AI, Scale-up | London 5 Days in Office, Up to £165,000 Stocks & Benefits. Owen Thomas is partnering with a high‐growth, venture‐backed InsurTech scale‐up that is disrupting a massive $200 B global market. Using AI they deliver automation that … business from 0 to 1. Requirements 2+ years of commercial experience in AI/ML engineering or applied research. Strong experience working on NLP projects. A proven track record of shipping AI/ML projects from initial concept to live production, driving core business metrics. A passion for high‐velocity ...

LSEG (London Stock Exchange Group) is seeking a Senior Associate Solution Consultant with deep expertise in AI, data science and NLP to design end-to-end solutions and present them to customers. The role supports deal closure by tailoring capabilities to client workflows and coordinating with Bid Teams. You will ...

NLP PEOPLE is looking for a Machine Learning Engineer to join their team in Central London. This full-time role offers a competitive salary of up to £165,000, with stock options and benefits. The company is in a high-growth InsurTech sector and leverages AI to transform the insurance ...