21 of 21 Remote/Hybrid Natural Language Processing Jobs in London

Engineer, you will contribute to designing, developing, and implementing AI-driven solutions. Daily tasks include building and optimizing machine learning models, applying natural language processing techniques, and enhancing pattern recognition systems. You will collaborate with cross-functional teams to identify challenges and implement innovative solutions tailored … Qualifications Strong expertise in Pattern Recognition and Neural Networks Proficiency in Computer Science and Software Development Experience in Natural Language Processing (NLP) techniques and applications Proven problem-solving and critical thinking skills Ability to work collaboratively within a hybrid environment Bachelor's or Master's degree ...

risk insights. You will mine data to find behavioural signals—such as spending volatility or income stability—that predict affordability, repayment, and fraud risk. NLP & Entity Resolution: Use classic NLP techniques (fuzzy matching, named entity recognition) to normalise, cleanse, and match and consumer identity data at scale. Generative AI & Explainability … clusters without needing a pre-defined hypothesis. Explainability: Experience using SHAP or similar frameworks to explain model outputs. Natural Language Processing (NLP): Entity Matching: Experience with deduplication, record linkage, or entity resolution. GenAI: Experience with LLM APIs and Context Engineering (constructing prompts, managing context windows, evaluating behaviour ...

Linguist - Indian Language Speaker Remote - United Kingdom Until the end of December 2026 £59,000-£66,000 A leading global technology research organisation is seeking a Computational Linguist to support advanced research in multilingual AI and language technologies . You will join a highly respected research team working … projects involving machine translation, speech technologies (ASR/TTS), and large language models , contributing linguistic expertise to improve how AI systems understand and generate human language across multiple languages. Key Responsibilities Analyse AI model outputs to identify linguistic error patterns and quality issues Perform linguistic analysis on large ...

Linguist - Indian Language Speaker Remote - United Kingdom Until the end of December 2026 £59,000-£66,000 A leading global technology research organisation is seeking a Computational Linguist to support advanced research in multilingual AI and language technologies . You will join a highly respected research team working … projects involving machine translation, speech technologies (ASR/TTS), and large language models , contributing linguistic expertise to improve how AI systems understand and generate human language across multiple languages. Key Responsibilities Analyse AI model outputs to identify linguistic error patterns and quality issues Perform linguistic analysis on large ...

000Can't sponsor This is a great opportunity to join a growing Data Science function working at the forefront of conversational AI, NLP, and Large Language Model innovation. You will help shape next-generation data products used by high-profile financial services clients, with real scope to influence technical … data products. Your work will include: Building and fine-tuning machine learning and LLM-based models for real-time data interaction Designing and improving NLP and data-driven pipelines across multiple products Applying strong mathematical reasoning to solve complex analytical problems, particularly in financial and trading-related contexts Working closely ...

link datasets, develop ETL pipelines and identify transactions of potential concern Has an understanding of advanced data science techniques such as machine learning, natural language processing and statistical analysis. Has experience of using data visualisation tools such as PowerBI Has experience with general ledger/ERP data ...

initiatives • Stay informed about new AI and automation developments and apply relevant insights About you • Strong understanding of AI and automation including machine learning, natural language processing and RPA • Comfortable with data and visualisation tools • Able to translate complex analysis into simple and strategic insights • Curious ...

client is a global leader in Generative AI SaaS, revolutionising how organisations create, manage, and optimise winning bids, tenders, and proposals using cutting-edge natural language processing technology. As one of the fastest-growing AI companies worldwide, they continue to scale rapidly to meet rising demand across ...

both internal and client stakeholders. Advanced Modelling : Proven ability to implement a range of complex models such as time-series forecasting, gradient boosting, clustering, NLP, and Bayesian inference. ML-Ops & Orchestration : Strong experience with MLOps tools for orchestration, experiment tracking, hyper-parameter tuning, and deploying automated model retraining pipelines. Programming ...

applied machine learning About You Proven experience in AI/ML engineering, AI architecture, or data science Strong understanding of generative AI, LLMs, NLP, and ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) Experience deploying AI models in cloud environments (AWS, Azure, or GCP) Strong Python skills and experience integrating APIs ...

team. Your Skills and Experience Strong Python engineering skills with experience delivering production models. Hands on with AI or ML engineering, including modern LLM, NLP or deep learning techniques. Familiarity with cloud environments, ideally GCP, but open to other platforms. Understanding of model deployment, microservices, and scalable data patterns. Ability ...

Data Governance and Data Catalog solutions: Axon, Informatica EDC, Colibra, Purview, etc. Previous experience in Artificial Intelligence techniques: ML/Deep Learning, Computer Vision, NLP, etc General information: Start Date: ASAP Length of Contract: 1 year (minimum) Work Location: Madrid Remote working. (It may be necessary at some point ...

science fundamentals and time-series forecasting. Machine Learning: Strong grasp of ML and deep learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, BERT, LSTM, NLP, Transfer Learning). Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built ...

services, or complex enterprise environments Right to work in the UK Desirable Skills & Experience Exposure to AI/ML concepts (e.g. machine learning models, NLP, RPA, decision intelligence) Experience with data platforms, cloud ecosystems, or analytics tools Knowledge of post-merger integration (PMI) frameworks Agile certifications (e.g. Scrum, SAFe ...

term growth planned. The Role • Implement AI agent solutions designed by the architecture team. • Build and deploy production grade models using Python, ML and NLP techniques. • Work with modern LLMs including GPT, Llama, Claude and Mistral. • Contribute to solution development while learning best practice from senior engineers and architects. • Collaborate ...

DACH region. Company Fast-growing Customer Experience & Conversational AI SaaS vendor, transforming how enterprises engage with customers at scale AI-powered platform leveraging NLP, machine learning, and generative AI to automate and personalise customer interactions across voice and digital channels Strong ecosystem of partners and enterprise clients, offering access ...

closely related field). Strong interest in AI applied to biotech, healthcare, or medical data Solid programming experience (e.g. Python ) Exposure to LLMs , NLP, or generative AI Familiarity with machine learning concepts and data processing Experience working with large datasets (academic, research, or commercial) Comfortable working in a remote ...

leadership across research and engineering domains. Core Skills Strong foundation in deep learning and transformer-based architectures. Hands-on experience with PyTorch and modern NLP/LLM toolchains. Deep knowledge of parameter-efficient fine-tuning methods (LoRA, adapters, PEFT techniques). Expertise in intent classification, evaluation metrics (precision, recall … academic research. Bonus Skills Experience with reinforcement learning (PPO, DPO) or RLHF pipelines. Familiarity with distributed training frameworks (DDP, FSDP, DeepSpeed). Background in NLP tasks such as NER, semantic similarity, QA, or dialogue systems. Experience with experiment tracking platforms (MLflow, Weights & Biases). Exposure to agentic AI paradigms (ReAct ...

Title :: Data Scientist Job Type :: Contract Job Location :: London, UK (HYBRID) Experience Required :: 10+ yrs JOB DESCRIPTIONS Responsible for building ML and NLP models, working with BigQuery ML, and contributing to generative AI initiatives. Includes mentoring responsibilities and hands‐on model development. • Develop and deploy ML and NLP models • Build … pipelines • Apply generative AI fundamentals for prototyping • Use BigQuery ML for data processing and model training • Mentor junior team members • ML model development • NLP pipelines • Generative AI basics (LLMs, embeddings, prompting) • BigQuery ML • Python Preferred Skills :: • Mentoring experience • Exposure to agentic/LLM‐based systems ...

Work with structured financial transaction data (merchant strings, metadata, timestamps, behavioural features). Apply techniques such as: Gradient boosting (e.g., XGBoost) Tree-based models NLP approaches for merchant text classification Embedding techniques where appropriate Engineer and test new features to improve model accuracy and generalisation. Evaluate model performance using appropriate … moving team. Nice to Have Experience with transaction data, financial data, or open banking datasets. Familiarity with GCP, especially BigQuery and CloudRun. Exposure to NLP techniques for messy text classification. Experience building reusable model pipelines. Background in fintech, lending, or other regulated environments. What We Offer Ownership of a high ...

Isaacus DevRel Engineer should: Be fluent in Python and familiar with HTML, JavaScript, and CSS. Be familiar with data science and modern NLP fundamentals, including information retrieval, embeddings, LLMs, and context engineering. Be passionate about data science, AI, and developer ecosystems. Have excellent communication skills. Having a background or experience … highly skilled engineers. Receive equity in a fast-growing, VC-backed startup. Learn new valuable skills in a wide variety of domains, from advanced NLP to legal analysis. Publish and be credited for new research, applications, analyses, and data. Grow your personal brand and network as a legal AI ambassador. ...