51 to 69 of 69 Natural Language Processing Jobs in London

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 ...

Learning Lead, youll be a hands-on Machine Learning Engineer with a strong track record of building and deploying ML solutions at scaleparticularly in NLP and GenAI. You will: Design, develop and scale NLP and GenAI capabilities to optimise business processes. Build out a robust GenAI application technology stack, from ...

Data Scientist or in a closely related role Expert knowledge of machine learning, AI and statistical methods, applied across domains such as NLP, computer vision, audio, graphs, time-series or tabular data Strong Python skills and experience with common libraries (e.g. pandas, NumPy, scikit-learn, PyTorch, Transformers, statsmodels, PyMC) Understanding … Knowledge of ML engineering and MLOps practices (e.g. Docker, MLflow) Experience working in government, defence or other highly regulated environments Proven application of large language models (LLMs) to real-world problems Security Clearance This role requires UK Security Clearance. Applicants must either already hold clearance or be eligible ...

machine learning and deploy AI at scale across its organisation and portfolio ecosystem. As an AI Engineer, you'll take cutting-edge models — LLMs, NLP, multimodal — and turn them into secure, scalable and high-performing solutions that automate intelligence and enhance human judgement. What you'll build LLM-powered research … copilots and knowledge automation tools NLP and retrieval-augmented generation (RAG) pipelines ML systems deployed with robust CI/CD and MLOps principles Cloud-native inference frameworks optimised for latency and scale You'll bring experience in Python, vector databases, embeddings, transformers PyTorch or TensorFlow, API deployment Docker, Kubernetes, cloud ...

Contract duration: 1 year Type of Contract : Inside IR35 Location: London Key Responsibilities: - Build and optimize AI/ML pipelines for predictive modeling, NLP, and generative AI applications. - Perform Exploratory Data Analysis (EDA), data mining, and visualization to extract insights. - Design and implement Big Data solutions using Hadoop, Spark, PySpark … deploy ML models (supervised, unsupervised, tree-based, ensemble methods). - Implement deep learning architectures (CNN, RNN, LSTM) using TensorFlow, PyTorch, and Keras. - Work on NLP and Generative AI tasks including embeddings, transformers (BERT, GPT), and OpenAI APIs. - Integrate agentic AI frameworks (LangChain, LangGraph, MCP, Bedrock Agents) for autonomous workflows. - Collaborate ...

this to be possible. Interviews next week apply asap/Today Key Responsibilities: Build and optimize AI/ML pipelines for predictive modelling, NLP, and generative AI applications. Perform Exploratory Data Analysis (EDA), data mining, and visualization to extract insights. Design and implement Big Data solutions using Hadoop, Spark, PySpark … deploy ML models (supervised, unsupervised, tree-based, ensemble methods). Implement deep learning architectures (CNN, RNN, LSTM) using TensorFlow, PyTorch, and Keras. Work on NLP and Generative AI tasks including embeddings, transformers (BERT, GPT), and OpenAI APIs. Integrate agentic AI frameworks (LangChain, LangGraph, MCP, Bedrock Agents) for autonomous workflows. Collaborate ...

define and execute the ML roadmap for search. This is an opportunity to have tangible business impact while working with cutting-edge technology in NLP, computer vision, and multimodal retrieval. Key Responsibilities for the Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | London, Hybrid … insights and best practices across other ML teams, particularly in areas of recommendations, ranking, and multimodal representation learning. Stay current with emerging research in NLP, CV, and multimodal retrieval; champion responsible AI principles; and communicate findings to both technical and non-technical audiences. Requirements for the role: 7+ years ...

Responsibilities include: • Working closely with Technical and Legal Architects to qualify, scope, and execute bespoke client development requests. • Rapidly prototyping solutions using APIs, large language models, and supporting technologies to demonstrate feasibility and value. • Building and adapting integrations that fit into complex client environments, ensuring smooth onboarding and adoption. … Looking For • Strong hands-on Python development experience (for example FastAPI, data pipelines, automation, integrations). • Experience with AI/ML workflows, NLP, or LLM-driven solutions. • Strong communication skills and confidence working directly with both technical and non-technical customer stakeholders. • Ability to own problems end-to-end, from ...

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 ...

work! You will also have a tangible effect to the frontline teams who will be using the solutions. You'll take their GenAI and NLP capabilities to the next level by building their NLP and Gen AI abilities to improve the business operation. You will also work with architects, product ...

team within a fast-scaling AI-driven organisation. You’ll work with a wide variety of cross-channel digital signals, leveraging advanced Machine Learning, NLP, and Computer Vision techniques to uncover powerful consumer insights. These insights will shape media, marketing, influencer, and creative strategies, helping clients capture market share … build deeper connections with their customers. Key Responsibilities Combine and analyse large, complex datasets (structured and unstructured) to extract consumer insights. Apply Machine Learning, NLP, and Computer Vision methods to develop innovative products and solutions. Prototype and validate new technical ideas, bringing cutting-edge research into production. Work with clients ...

Qualifications Bachelor's or Master's degree in Business, Technology, Data Science, or a related field. Knowledge of AI technologies (generative AI, machine learning, NLP, classical AI) and their business applications. Experience in business strategy development, digital transformation, or emerging technology adoption. Familiarity with AI metrics and monitoring frameworks … ability to navigate ambiguity. Excellent stakeholder management and communication skills, confident in presenting to senior leaders. Ability to translate technical AI concepts into business language and compelling narratives. Skills in use case identification, benefit articulation, and ROI justification. Preferred Skills Experience developing AI strategies or leading transformation programs. Certifications ...

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 ...

structured and unstructured data to build models that move real business metrics. Lead the design of RAG-style architectures (embeddings, dense search) and advanced NLP/NLU applications. Partner closely with pre-sales and delivery teams to scope opportunities and shape solution architecture. Communicate clearly with both engineers and execs … Python or R, SQL, and modern ML frameworks, with deep experience across core ML (regression, classification, clustering, recommendation, feature engineering). Proven experience with NLP/NLU and practical use of Generative AI tools (e.g. ChatGPT) and prompt engineering. Ability to read research papers, implement algorithms and turn ideas into ...

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 ...

learning task of predicting student knowledge and optimal ‘next task’ Work with a vast amount of unique data - we have data from over 1M language tests, including text and voice data Create brand new dictionaries, applicable to any context - right now it’s the English language … pipelines and automation tools for efficient model deployment and monitoring Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers Great knowledge of NLP algorithms Expertise in Python and PyTorch Desirable Skills 👌 Can speak, or learning to speak, more than one language Experience with reinforcement learning Knowledge-sharing experience ...

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 A fantastic … 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 ...

deploying ML-powered features across a production platform Working across Python and TypeScript, integrating models into scalable, real-time systems Fine-tuning and training NLP models using techniques like transformers Driving the machine learning strategy and building best practices from the ground up Collaborating closely with product, engineering, and leadership … looking for: Strong commercial experience building and deploying ML models in production Proficiency in Python and familiarity with TypeScript/JavaScript Experience with NLP or recommendation systems is a bonus Excited by start-ups: product-minded, hands-on, and motivated by impact What's on offer ...

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. ...