51 to 59 of 59 Natural Language Processing Jobs in London

Build, train, and optimise machine learning models used by financial services clients and quant teams. • Develop LLM‐based solutions including finetuning, conversational agents, and NLP‐to‐LLM pipelines. • Contribute to proprietary data assistance products designed for analytical workflows. • Work across Python‐based modelling, experimentation, and error analysis. • Collaborate closely with … trading‐focused models. • Experience building ML models end‐to‐end, including optimisation and error analysis. • Knowledge of LLMs, finetuning, conversational AI, or modern NLP techniques. • Comfortable working in a collaborative environment with engineers and product teams. What They Offer • Opportunity to work directly with senior leaders and impact product direction. ...

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 ...

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 ...

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 ...

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 ...

🤖 Senior Research Engineer - Conversational AI 📍 In-office (Location TBC) Recruiting for a leading conversational AI platform backed by tier-1 investors that's redefining customer experience for enterprise brands. About the company: They power AI ...

results). Design and deploy data integration and analysis pipelines. Collaborate with engineers and product managers to bring ML features to life. Create innovative language assessments and predictive models. Optimize models for performance, scalability, and accuracy. … Qualifications: Deep knowledge of neural networks (CNNs, RNNs, LSTMs, Transformers). Strong experience with data tools (Pandas, NumPy, Apache Spark). Solid understanding of NLP algorithms. Experience integrating ML models via RESTful APIs. Familiarity with CI/CD pipelines and deployment automation. Strategic thinking around architecture and trade-offs. ...

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. ...

leader within a newly established team and contribute to long term capability development. Your Skills and Experience • Strong commercial experience designing AI, ML or NLP solutions. • Expertise in Python and modern ML/NLP practices. • Hands on experience working with LLMs such as GPT, Llama, Claude or Mistral. • Ability ...