20 of 20 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 ...

solutions into scalable platform capabilities. The Company They are an AI-driven TechBio organisation focused on transforming pharmaceutical research and development. Their platform applies natural language processing, large language models, and knowledge graph technology to structure insights from vast volumes of scientific literature. Working with enterprise … machine learning systems into production, combined with the ability to work confidently in customer-facing environments. Key capabilities include: Hands-on experience deploying NLP or LLM-powered features in production environments Strong knowledge of retrieval-augmented generation systems, retrieval and recommendation architectures, and vector databases Experience building, debugging, and maintaining ...

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 ...

venture-backed, Series A technology business operating at the intersection of life sciences, data science and artificial intelligence. Their platform applies AI and natural language processing to unlock insights from vast volumes of scientific data, supporting more efficient and informed drug discovery. The organisation is founder ...

Preferred Experience Advanced degree (Master’s or PhD) in Data Science, Computer Science, Statistics, Mathematics, or related field Experience with GenAI/LLMs and NLP applications Knowledge of regulatory frameworks in financial services (e.g., GDPR, model risk governance) Company Overview At SBS, we’re more than just a technology company ...

team of data scientists while remaining deeply hands-on with code and architecture. Key Responsibilities Technical Leadership: Architect and deploy LLM-driven workflows and NLP solutions, ensuring they are scalable, robust, and production-ready. Product Ownership: Own the full product lifecycle from vision and roadmap strategy to implementation, iteration ...

team of data scientists while remaining deeply hands-on with code and architecture. Key Responsibilities Technical Leadership: Architect and deploy LLM-driven workflows and NLP solutions, ensuring they are scalable, robust, and production-ready. Product Ownership: Own the full product lifecycle from vision and roadmap strategy to implementation, iteration ...

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 ...

BPSS) Exposure to machine learning Statistics or modelling knowledge Strong Python skills and familiarity with core libraries (pandas, NumPy, scikit‐learn) Deep learning and NLP stacks (PyTorch, HuggingFace Transformers) Cloud or data platform familiarity Working Model Hybrid working model with a balance of client site, office, and home working. Pension ...

management.** *Experience of leading teams following agile principles.** *Expert knowledge of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to propose research beyond existing literature.** *Experience of training and developing AI models including Large Language Models. ...

Work directly with editorial stakeholders to define meaningful evaluation criteria for AI generated content Your Skills and Experience Strong commercial experience building LLM or NLP pipelines in production or advanced prototype environments Hands on experience with fine tuning approaches such as supervised fine tuning, prompt or instruction tuning Strong Python ...

solutions and advanced analytics for diverse clients. The role requires expertise in managing the AI project lifecycle, proficiency in Python, and experience with NLP and Machine Learning techniques. The ideal candidate will work collaboratively with cross-functional teams and mentor junior members, contributing to innovative data-driven solutions ...

verification, wake-word/keyword spotting, and audio enhancement. You will contribute to applied innovation across speech and audio signal processing, ASR and NLP, turning research and experimentation into measurable production improvements. You will work closely with engineers, data scientists, product stakeholders and third-party partners to deliver reliable … example, AWS/Azure components, Lambda-style services, Kubernetes, and observability tooling) will be beneficial. Experience in voice-related ML domains (speech, ASR, NLP, speaker verification, audio enhancement) is highly desirable, as is an analytical mindset with evidence of measurable impact. Familiarity with production applications of Generative AI is beneficial ...

over-engineering Maintain a high bar for clarity, reproducibility, and long-term maintainability What we're looking for Strong foundations in machine learning (e.g. NLP, information extraction, representation learning) Systems-oriented mindset - performance in production matters more than benchmarks Comfort working in ambiguity and defining problems from first principles Intellectual ...

capability. Key responsibilities include: Leading the design and delivery of end-to-end machine learning pipelines aligned to business priorities. Productionising existing ML and NLP proof-of-concepts and scaling them into robust, supported solutions. Implementing best practices across MLOps, data pipelines, model deployment, and monitoring. Working closely with Data … Scientists to support model development, maintenance, and optimisation. Supporting large-scale data processing use cases, including unstructured document and NLP workloads. Contributing as a technical thought leader within an agile, engineering-led environment. Supporting cloud migration, data integration, and platform evolution in Azure and Databricks. Your Skills and Experience ...

technologies and contribute to continuous innovation Essential Skills for the AI Engineer: Strong proficiency in Python with extensive experience using AI, ML and NLP libraries Hands-on experience working with modern large language models including prompt engineering, fine-tuning and evaluation Practical experience with core Generative AI frameworks ...

client engagement, and mentorship of other consultants. What you'll be doing Lead the design and delivery of AI and data science solutions (LLMs, NLP, ML, etc.) Work directly with senior client stakeholders to shape and deliver solutions Build and deploy end-to-end AI products , not just prototypes Apply … across defence and public infrastructure What you bring Core requirements Strong data science/machine learning background Experience delivering AI/GenAI solutions (LLMs, NLP, etc.) Proven ability to take solutions from concept through to real-world deployment Experience leading projects, workstreams, or teams Strong stakeholder engagement skills - client-facing ...

executive presentations. Positioning Zendesk as the customer’s platform of choice.* **Champion AI & automation:** Translate advanced AI/ML capabilities (including LLMs, ChatGPT, NLP, and predictive analytics) into actionable CX strategies that increase efficiency, personalisation, and scalability.* **Influence product evolution:** Leverage customer insights to inform product innovation, shape reference architectures … Contact Center, Customer Service software, ITSM, Business Intelligence, Data Warehousing, Workforce Management, QA or Integration & Middleware.* Strong understanding of AI and automation technologies (LLMs, NLP, ChatGPT, MCP, predictive analytics) and their impact on customer service transformation.* Demonstrated ability to lead virtual teams to successful outcomes and build consensus across technical ...