19 of 19 Permanent Natural Language Processing Jobs in the City of London

technologies e.g. Elastic, Mongo, Cassandra, Redis, S3 Nice to have requirements: PyTorch, Artificial Intelligence(AI), Machine Learning(ML), Natural Language Processing(NLP), Data Handling, Large Language Model(LLM), Atlassian Suite, GitHub, Linux CLI, Any additional knowledge of Artificial Intelligence (AI), Machine Learning (ML) and Natural Language Processing (NLP) is highly desirable. Working with our UK Central Government client you will be part of a brand-new project focusing on blue sky dev work. Due to the highly sensitive nature of this project we are seeking DV cleared individuals with willingness ...

Multiagent system, leveraging Small Language models that could be locally resident, problems in computer vision, speech, Natural Language Processing (NLP), multilingual models, applied statistics, data mining or conventional machine learning models. We look to our data scientists to be conversant with at least 2 or more ...

forefront of AI development. The role: Drafting and prosecuting patent applications for a wide range of AI-related innovations, including machine learning, natural language processing, and data analytics. Providing strategic IP advice to clients developing novel software and hardware solutions. Managing a diverse portfolio of domestic ...

learning exposure (PyTorch/TensorFlow) Cloud experience (AWS/GCP/Azure) Familiarity with MLOps concepts (monitoring, CI/CD, Git, Docker) Experience with NLP, time series, recommender systems, or optimisation Benefits 💰 £35,000 – £45,000 + bonus 🏡 Hybrid working (London) 📈 Mentorship + progression: structured development, training budget, regular feedback ...

Spring; expertise in AWS, Azure, Google Cloud; Kubernetes and containerization. • AI Expertise: Advanced machine learning algorithms, 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. Desired Skills & Experience • Deep ...

diligence, and portfolio management. Over the past several years, they’ve built an in-house Data Science and AI function that applies advanced analytics, NLP, and large language models to real-world commercial and investment problems. This is a genuinely data-driven environment where technical work directly informs senior … commercial environment. Key Responsibilities Research and prototype new data science and LLM-driven use cases to support commercial and strategic decision-making Apply NLP and language analysis techniques to large, unstructured datasets Build, test, and iterate on machine learning models using strong classical data science foundations Support the productionisation ...

present findings to stakeholders effectively. Qualifications & Skills: 3-5 years of professional experience with AI and Machine Learning projects. Hands-on experience with Large Language Models (LLMs), evaluation techniques, and frameworks such as LangChain. Proficiency with Retrieval-Augmented Generation (RAG) techniques, including embeddings, vector search, and vector databases. Bachelor ...

scientific, or technical discipline (e.g., computer science, mathematics, physics). Strong expertise in AI, ML, and statistical methods, with experience across domains such as NLP, images, audio, graphs, time series, and tabular data. Several years' experience as a data scientist in industry or related environments. Proficiency in Python and common ...

learning systems that accelerate decision-making and unlock business value. You’ll design, implement and deploy production-grade AI and ML systems, ranging from NLP pipelines that extract insights from complex documents to integrating models with third-party services to streamline workflows. We’re looking for AI engineers who care … hear from you. Strong technical foundation: Degree in a STEM field (or equivalent experience) with hands-on expertise in applied statistics, machine learning, forecasting, NLP, computer vision, or optimization. Python expertise: Skilled in writing production-grade code in Python (e.g., using type hints and understanding the limitations of the language ...

Responsibilities Own end-to-end ML delivery from problem definition through deployment Build and productionise models across forecasting, pricing, churn, segmentation, fraud, and NLP use cases Work closely with data engineers and cloud infrastructure to scale solutions Translate technical work into clear commercial impact for senior stakeholders Contribute to code ...

programme. What you’ll do Collaborate with cross-functional teams to develop and enhance our GenAI-Powered smart digital assistant. Leverage your expertise in NLP and transformer architectures to create intelligent conversational agents. Dive into the world of traditional NLP techniques and stay ahead of the curve. Apply a strong … data to life. Contribute to the development of a fantastic visualisation layer for analytics, making complex insights accessible and actionable. Key Skills and Experience NLP Mastery Proficiency in LLMs and transformer architecture. Deep understanding of traditional NLP techniques. Data & Visualisation Solid grasp of data visualisation tools (Tableau, Power BI, Cognos ...

projects . This role would suit someone early in their career who has excellent academic foundations and has already worked hands-on with LLMs, NLP, or RAG-style systems in a lean team environment. What You’ll Be Doing Building and experimenting with LLM-based and NLP solutions for real … technical stakeholders What We’re Looking For Experience 1–3 years’ experience in data science, ML, or applied AI Hands-on exposure to LLMs, NLP, or language analysis (commercial or project-based) Experience working in small teams with real ownership Technical Skills (Must-Have) Strong Python Solid grounding ...

Specialising in advanced ML algorithms and MLOps practices. Generative AI (Gen AI): Focusing on deploying Retrieval-Augmented Generation (RAG) workflows and managing Large Language Model (LLM) applications. What You’ll Do As a Senior Data Scientist at Synechron, you will operate as a vital contributor, overseeing the full lifecycle … Uncover hidden patterns and develop insights pertinent to Credit Risk via sophisticated statistical, quantitative, and machine learning techniques. Generative AI Applications: Leverage unstructured data, NLP, and LLMs to automate data lineage modeling and documentation processes. Model Optimisation & Monitoring: Enhance model performance, detect anomalies, conduct variance and time-series analysis ...

seed stage company. Founded in 2017, we are building the future of the AI workforce using proprietary technology based on Generative AI, conversational AI, NLP, Neural Networks and others. We provide a great working environment with excellent career development opportunities for the best and brightest professionals. Are you an entrepreneurial ...

built an internal data and technology function to support deal sourcing, due diligence, and portfolio insights, using modern data science and emerging LLM/NLP techniques. The team works closely with senior stakeholders and operates like a lean product and research group within a fast-paced commercial environment. They … hands-on and delivery-focused, with opportunities to ship work into production and iterate quickly. Key responsibilities Build and prototype data science and NLP/LLM solutions Take models from exploration to production deployment Work across multiple projects supporting commercial decision-making Collaborate closely with engineers and non-technical stakeholders ...

MOBILE, Apex Legends Mobile, and League of Legends: Wild Rift (Chinese Version). Responsibilities: 1. Drive and contribute to cutting-edge research projects in NLP/ML. 2. Develop benchmarks and baselines using publicly available datasets. 3. Train large language models (LLMs) on innovative, practical tasks. 4. Publish research … findings at leading NLP/ML/AI conferences and in top journals. Qualifications: 1. Currently in the PhD degree in NLP, Machine Learning, or a related area, or recently submitted the thesis; available at least three days per week (with the supervisor and university approval). 2. At least ...

model for education - one that can accurately predict student knowledge and orchestrate lessons, adapting to the students needs. We’re looking for a Senior NLP Engineer , with a proven track record of delivering ML models to production, to join the ML team in our growing company. What you will … build prediction models based on these results Optimise and fine-tune machine learning models for performance, scalability, and accuracy Essential skills 🙏 Strong expertise in NLP Complete end-to-end experience - from finding and cleaning data all the way to monitoring models in production Strong understanding of neural networks, CNNs, RNNs ...

learning task of predicting student knowledge and optimal ‘next task’ Work with a vast amount of unique data - we have data from over 1M language tests, including text and voice data Create brand new dictionaries, applicable to any context - right now it’s the English language … pipelines and automation tools for efficient model deployment and monitoring Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers Great knowledge of NLP algorithms Expertise in Python and PyTorch Desirable Skills 👌 Can speak, or learning to speak, more than one language Experience with reinforcement learning Knowledge-sharing experience ...

small, elite team with a genuinely high technical bar? A fast-scaling, YC-backed LegalTech AI company is building GenAI systems across document processing, draft generation and information retrieval. Their platform is already used by hundreds of legal teams globally, and they’re now expanding their AI group … deploy features end-to-end What they’re looking for New Grad/Early Career, ideally MSc or PhD in CS/ML/NLP (or related) Strong applied ML research background, ideally with publications in top venues such as: NeurIPS, ICML, ICLR, ACL, EMNLP, AAAI (added bonus) Strong engineering ...