26 to 50 of 56 Natural Language Processing Jobs in London

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 ...

Computer Science, Statistics, Mathematics, Economics, or similar Working knowledge of statistical and machine learning methods (e.g. logistic regression, gradient boosting, random forests, clustering, NLP Proficient in Python and/or R, with strong experience in data quality, model development and feature engineering Strong command of SQL and familiarity with data ...

deployment. Preferred Skills: Hands on experience in coding (mandatory python and SQL or C++). Understanding of Generative AI, Computer Vision cloud technology, NLP, Deep Learning. Familiarity working with large data sets. Project Management background preferred. Qualifications : Master’s (Required) in Data Science, Mathematics, Statistics, Economics, IT related fields ...

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 ...

plans and priorities when required. Strong understanding of data ethics, privacy, bias, explainability and governance. Desirable skills and experience Experience with MLOps, AI platforms, NLP/LLMs, knowledge graphs or real-time data products. Experience setting data science strategy or leading cross-functional technical communities. Experience in consulting, public-sector ...

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 ...

global ecosystem. What you’ll be doing 1. AI Strategy, Vision & Governance Define LHH’s global AI strategy, spanning agentic AI, generative AI, automation, NLP/NLG, analytics, and applied machine learning. Utilize an AI governance model ensuring responsible, compliant, and ethical AI usage aligned to group standards. Utilize ...

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. ...

hands-on data scientist with deep expertise in NLP and LLMs, strong Python coding skills, and a track record of deploying models to production? Do you thrive in building real-world AI solutions that are used by actual customers? If so, we'd love to talk to you!ROLE SUMMARY … closely with collaborative teams to co-develop innovative products for financial markets and professionals.We're looking for someone who combines deep technical expertise in NLP and LLMs, strong Python engineering skills, and real-world experience shipping and supporting models in production. You should be comfortable owning delivery timelines and ensuring ...

engineering capability alongside experience building production-grade data pipelines, analytics systems, automation tooling, or machine learning infrastructure. Experience working with financial datasets, alternative data, NLP workflows, or investment analytics platforms is highly desirable. Equally important is the ability to engage credibly with investment professionals and operate fluently across both technology ...

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 ...

relevant internships in machine learning, data engineering, or software engineering. You’ll contribute to designing, implementing, and deploying production-grade ML systems—ranging from NLP pipelines to model‐driven workflow automation. You’ll learn quickly, gain real ownership, and see your work make tangible business impact. What … willingness to learn quickly. Foundational skills Degree in a STEM field. PhD candidates: applied research involving ML, optimisation, simulation, statistics, numerical methods, NLP, or related areas. Bachelor’s/Master’s: 1–2 years of industry experience or relevant internships in ML, software engineering, or data engineering. Programming experience (especially ...

helping teams work better together throughAI-powered personalization that adapts to individual goals and organizational culture using the latest advances in machine learning and natural language processing. We\'ve been featured inHarvard Business Review, TIME, World Economic Forum, Financial Times, Forbes and an Inc. 5000 fastest-growing private … Exceptional client-facing skills —with a proven ability to build trust and drive outcomes with senior stakeholders, including C-suite and executive leaders. French language skills highly prioritized. Structured problem-solving ability —you can break down complex challenges, connect the dots, and craft solutions that drive results. Proven influence ...

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 ...

transforms product development, internal operations, and team structure You've implemented AI/ML in production, whether for content moderation, recommendations, NLP, or operational automation You're excited by agentic AI and understand how autonomous systems can handle workflows end-to-end, not just assist You’ve built ...

transforms product development, internal operations, and team structure You’ve implemented AI/ML in production, whether for content moderation, recommendations, NLP, or operational automation You’re excited by agentic AI and understand how autonomous systems can handle workflows end‐to‐end, not just assist You’ve built ...

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 ...

Computer Science, Data Science, Engineering, Informatics, or a related field.* Strong hands-on experience building and deploying AI/ML/DL/NLP/LLM systems in production environments.* Proficiency in Python and modern AI frameworks and tools (e.g. PyTorch, Transformers, Scikit-learn, OpenAI Codex, Claude Code).* Experience … Epic or Cerner).* Experience building commercial software products in regulated environments.* Publications or research experience in AI/ML/DL/NLP/LLM or biomedical informatics.* Startup or scale-up experience.## Perks and Benefits* Flexible working hours.* Benefits include private medical insurance, life insurance and travel cards. ...

reproducibility and reliability. Drive architectural decisions for data‐intensive, AI‐driven applications, making sharp trade‐offs between cutting‐edge approaches and production readiness. Apply NLP and GenAI to extract structure from unstructured financial documents: credit agreements, indentures, and servicer reports. Build and deploy models that operate on structured finance data … with cloud infrastructure (AWS preferred) and modern MLOps practices. Commitment to people development: mentoring, performance conversations, and building high‐performing teams. Bonus: experience with NLP on financial contracts, RAG or LLM‐based applications on structured data, large‐scale loan data pipelines, or containerization tooling (Docker, Kubernetes, Terraform). Competitive salary ...

Senior AI Engineer (NLP/LLMs) – remote (UK based) £70-100k depending on experience A high-growth SaaS company is hiring a Senior AI Engineer to help build intelligent, mission-critical systems used in highly regulated environments. The platform applies machine learning and large language models across complex … data workflows, solving real-world problems with measurable social impact. The Role As a Senior AI Engineer, you’ll design, build and deploy advanced NLP and LLM-based solutions, taking models from research through to production. You’ll work closely with AI, data, MLOps and product teams to translate business ...

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 ...

Demonstrating the value and potential of AI and advanced analytics through workshops, presentations and client engagements Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast-paced consulting environment Contributing … Data Scientist, AI Consultant, Machine Learning Consultant, GenAI Consultant, AI Engineer, Applied Data Scientist, Analytics Consultant, ML Engineer, Data & AI Consultant, Advanced Analytics Consultant, NLP Specialist, Python Developer, AI Transformation Consultant, Databricks Consultant, Azure AI Consultant, AWS Data Scientist, GCP Data Consultant, Agentic AI Consultant, OpenAI GPT Specialist, PySpark Developer. ...