20 of 20 Natural Language Processing Jobs in the City of London

will support delivery of AI use cases, workflows, analytics and solutions - responsible for tasks such as pattern recognition, MLOps, software development, neural networks, and natural language processing … basis. Qualifications Pattern Recognition and Neural Networks skills Computer Science and Software Development skills Natural Language Processing (NLP) skills Strong analytical and problem-solving skills Essential financial services experience (mins 5 years) and hands on AI engineering life cycle experience Bachelor's degree in Computer Science, Engineering ...

role: Design, develop, and deploy machine learning models for predictive analytics, classification, clustering, and recommendation systems. Utilize Natural Language Processing (NLP) and Large Language Models (LLMs) for text analysis, sentiment analysis, and generative AI applications. Build and maintain production-grade ML pipelines using CI/… libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch . Hands-on experience with ML algorithms and deep learning architectures. Expertise in NLP techniques and frameworks, familiarity with LLM fine-tuning and deployment. Knowledge of big data technologies and cloud platforms. Strong understanding of MLOps practices, CI/CD pipelines ...

handling, and writing clean, maintainable code. Experience with key libraries including Pandas, NumPy for data manipulation, requests and APIs for integrations, asyncio for concurrent processing, and building robust automation scripts with proper logging, testing (pytest), and documentation. AI & Machine Learning Frameworks - Deep expertise in AI/… frameworks including TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers. Experience building, training, and deploying machine learning models for classification, regression, clustering, and NLP tasks. Understanding of model evaluation metrics, hyperparameter tuning, feature engineering, and MLOps practices for production deployment. Generative AI & LLM Integration - Proficient in working with Large Language ...

Multiagent system, leveraging Small Language models that could be locally resident, problems in computer vision, speech, Natural Language Processing (NLP), multilingual models, applied statistics, data mining or conventional machine learning models. We look to our data scientists to be conversant with at least 2 or more ...

trends are reshaping the market and customer expectations. Create visual displays of data through selected tools and analytical packages, incorporating AI-assisted storytelling and natural language insights. Effectively lead and manage small/operational analytics projects, ensuring adoption of AI-native best practices in workflow efficiency, accuracy … business information and analytics they need to make better, more impactful decisions. We are building powerful new decision tools that use machine learning, natural language processing, visualisation and artificial intelligence that aid and enhance decision making. ...

join two rapidly growing teams within a high-growth fintech/data intelligence scaleup. You’ll work on cutting-edge Generative AI, LLMs, NLP, and Information Retrieval , building production systems used by global customers. You’ll join a highly talented AI organisation (reporting into the Senior ML Manager) and work … minded approach and ability to work cross-functionally. 2. Senior AI Engineer - Information Retrieval (Engineering-Focused) Own engineering for large-scale Information Retrieval/NLP pipelines. You will: Build and optimise retrieval, ranking, and document processing systems. Implement transformers, embeddings, search pipelines and evaluation frameworks. Deploy and maintain ...

teams to transform cutting-edge research into production-ready systems. Key Responsibilities Model Development: Design, train, and optimize machine learning models for predictive analytics, NLP, computer vision, or recommendation systems. Data Pipeline Engineering: Build and maintain robust data pipelines for feature extraction, transformation, and model training. Deployment & Monitoring: Implement models ...

technical foundation: Degree in a STEM field (or equivalent experience) with hands-on expertise in a least two of applied statistics, machine learning, forecasting, NLP, or optimization. Experience with uncertainty quantification, model evaluation, and statistical inference is highly valued. Python expertise: Skilled in building data pipelines and ML models using ...

scientific, or technical discipline (e.g., computer science, mathematics, physics). Strong expertise in AI, ML, and statistical methods, with experience across domains such as NLP, images, audio, graphs, time series, and tabular data. Several years' experience as a data scientist in industry or related environments. Proficiency in Python and common ...

high-performing lean teams. People-first leadership style, with a proven ability to build and nurture high-performing teams. Exposure to machine learning, NLP, or financial data products is highly advantageous. Comfortable working in fast-moving, ambiguous environments where both execution and strategic vision matter. Additional Info ...

Responsibilities Own end-to-end ML delivery from problem definition through deployment Build and productionise models across forecasting, pricing, churn, segmentation, fraud, and NLP use cases Work closely with data engineers and cloud infrastructure to scale solutions Translate technical work into clear commercial impact for senior stakeholders Contribute to code ...

OpenAI leaders. They combine deep sector knowledge with cutting-edge design and software engineering expertise to deliver state-of-the-art SaaS capabilities leveraging NLP, GenAI, Computer Vision, and Reinforcement Learning technologies. Position location (hybrid) : London (Shoreditch) or Paris (Le Marais) We are seeking Machine Learning Engineers who are passionate ...

learning systems that accelerate decision-making and unlock business value. You’ll design, implement and deploy production-grade AI and ML systems, ranging from NLP pipelines that extract insights from complex documents to integrating models with third-party services to streamline workflows. We’re looking for AI engineers who care … hear from you. Strong technical foundation: Degree in a STEM field (or equivalent experience) with hands-on expertise in applied statistics, machine learning, forecasting, NLP, computer vision, or optimization. Python expertise: Skilled in writing production-grade code in Python (e.g., using type hints and understanding the limitations of the language ...

Machine Learning, Data Science, or Computer Science (Russell Group or similar). Strong Python skills (Pandas, NumPy). Experience or exposure to NLP, transformers, and LLMs. Familiarity with ML tools like Weights & Biases or MLflow is a plus. Curious, proactive, and confident working independently. Ideally based near London for occasional ...

DevOps-oriented workflow. Apply strong knowledge of ML techniques, from supervised/unsupervised learning through to emerging methods in generative AI and large language models. What We’re Looking For Essential Skills & Experience Proven experience solving complex, real-world problems using data science and analytics. Strong Python skills (pandas … ability to explain complex concepts to non-technical stakeholders. Ability to align analytical outputs with broader business objectives. Desirable Skills Experience using R and NLP or deep learning techniques (e.g., TF-IDF, word embeddings, CNNs, RNNs). Familiarity with generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ...

Specialist/Process Analyst/Documentation Specialist/Prompt Engineer/AI Prompting/AI Workflows/Software Engineering/SaaS/Automation/NLP/Data Analysis/Computer Science/Business Management/Information Systems/LegalTech/Operations Management/Graduate/Junior/Trainee ...

environment. Demonstrable track record of successfully sourcing and hiring for AI/ML roles (e.g., Machine Learning Engineer, Data Scientist, AI Researcher, NLP Engineer, Computer Vision Engineer). Passion for technology and a strong understanding of the AI/ML domain, including key skills, tools, and industry trends. Exceptional customer ...

seed stage company. Founded in 2017, we are building the future of the AI workforce using proprietary technology based on Generative AI, conversational AI, NLP, Neural Networks and others. We provide a great working environment with excellent career development opportunities for the best and brightest professionals. Are you an entrepreneurial ...

Founding AI Engineer, you will architect and build production-grade AI features into the core platform. The role blends backend engineering, data processing, and practical AI/LLM deployment. Your work may include: Designing AI-powered workflows for unstructured and semi-structured data Building intelligent document processing, matching … + Early Stage Equity | London, Hybrid | Can Sponsor + Relocate Strong backend engineering experience (Python preferred) Experience working with LLMs, NLP or applied machine learning in production Understanding of data pipelines, distributed systems or large-scale processing Cloud experience (AWS, GCP or Azure) Comfortable in fast-paced, high-ownership ...

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 ...