10 of 10 Remote Natural Language Processing Jobs in Central London

into production environments Solid understanding of data structures , algorithms , and statistical learning Familiarity with cloud platforms (AWS, Azure, or GCP) and ML pipeline orchestration Bonus: Experience with deep learning , NLP , recommendation systems , or computer vision Excellent problem-solving, communication, and documentation skills Benefits 100% REMOTE Working with a US company, you will gain access to the US Market Provides career More ❯

Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/Power BI, or similar to present data effectively. Strong analytical skills: Ability to More ❯

genuinely make a difference in the world. What’s in it for you? Real-World Impact : Apply your expertise to projects that address meaningful global problems—combining deep learning, NLP, computer vision, and causal inference to deliver insights where they matter most. Technical Leadership : Influence the architecture and direction of AI systems while working with a diverse, cross-functional team More ❯

and Experience Post-graduate qualification in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex, advanced analytics and/or data science solutions. More ❯

and Experience Post-graduate qualification in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex, advanced analytics and/or data science solutions. More ❯

real-world retail problems, this role offers both impact and innovation at scale. 🚀 What You’ll Do: Research and build ML-driven solutions using techniques like clustering, regularised regression, NLP, and neural networks. Develop science modules that are deployed globally across client accounts. Dive into high-dimensional retail data to uncover new needs and optimise the in-store and online More ❯

stages We're working with a UK-based healthtech company looking for a Lead AI Engineer. This role sits within a cross-functional Data & AI team, focused on taking NLP projects into production and improving system design and infrastructure. You’ll also guide a small technical team (2–3 people), but the focus remains deeply technical - ideal for someone from … a software engineering background. What you'll do: Build and scale NLP/document processing pipelines using microservices Lead 2–3 reports (data scientists + AIOps engineer) Set engineering standards and lead architecture, code reviews, and deployment Work with DevOps, product, and data teams to deliver production-ready solutions What you’ll need: Strong Python and experience with PyTorch … or TensorFlow Solid understanding of REST APIs, CI/CD, Docker, Kubernetes, and AWS Proven delivery of NLP/OCR projects with unstructured data Experience managing or mentoring engineers Bonus points for: Experience in regulated domains Knowledge of semantic search, graph/vector databases Java or C# background and understanding of SOLID principles 📩 Interested? Message me here or email mmatysik More ❯

Role: Researchers are responsible for applying, adapting, and extending existing results in the broad field of machine learning. You will be apart of a highly unique research group across Natural Language Processing, Large Learning Models, deep learning, Bayesian & Signal Optimization with the exciting transition to the world of financial predication through the prism of machine learning. The More ❯

is obviously a pre-requisite for this role, with experience required in processing and model development. You will develop end-to-end models and use a combination of NLP and OCR-based extraction techniques. In addition to the technical expertise you will bring and develop, this is a consultant role and you will be working with key stakeholders in … large financial institutions, good communication is essential. Requirements: Python Expertise Supervised and Unsupervised Learning NLP and OCR Experience Exposure to Modern Cloud Platforms (EG. Databricks, AWS) Abillity to Communicate Technical Concepts Nice to Have: Financial Services Experience Interviews ongoing don't miss your chance to secure the future of your career! Contact me @ (url removed) or on (phone number removed … . Data Science, Data Scientist, AI, ML, Random Forest, Databricks, SageMaker, Regression, Gradient Boosting, NLP, Palantir, Insurance, Banking More ❯

to help build cutting-edge data science solutions powered by digital consumer signals. The team works with massive volumes of digital data, turning it into clear, actionable insights using NLP, LLMs, and advanced marketing data science, helping brands make smarter, faster decisions. This team blends deep technical expertise with startup agility, and they’re looking for someone who’s excited … build from scratch, and turn noisy digital data into real-world impact. 📍 Location: London (Hybrid: 2-3 days/week in-office) 💡 Why join? Work on greenfield AI/NLP projects using the latest open-source tools & APIs Collaborate across data science, engineering, strategy, and insights Make an impact in a startup growing fast with big-name clients 🧠 What you … ll do: Design and prototype data science solutions using Python and NLP techniques Build models from scratch to extract insights from digital sources (social, reviews, search, etc.) Stay on top of AI trends and bring fresh ideas into production Translate complex problems into actionable ML solutions Work on both short POCs and longer-term innovation projects Interested? Apply now More ❯