151 to 175 of 190 Natural Language Processing Jobs

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 ...

working with current AWS tooling. What you'll be doing: Building and deploying ML models and LLM applications Fine-tuning large language models for specific use cases Working with prompt engineering and RAG systems Creating end-to-end ML pipelines—ingestion, feature engineering, deployment Developing LLM-powered tools: chatbots … product teams What you'll need: Strong Python and experience with TensorFlow, PyTorch or scikit-learn Hands-on LLM work—prompt engineering, modern NLP techniques AWS experience: SageMaker, Bedrock, S3, Lambda, CloudWatch Understanding of deep learning, transformers and attention mechanisms Knowledge of RAG systems, vector databases and embeddings Experience deploying ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

data pipelines and advanced AI-driven capabilities. You'll be responsible for ingesting and transforming unstructured data, building scalable pipelines, and embedding machine learning, NLP, and semantic search into a modular, cloud-native architecture. Key skills required: Strong Python for data processing, pipelines, and ML integration Experience building … data lakes, metadata, graph models) Cloud experience (AWS, GCP, Azure) Experience with distributed data processing (Spark/Flink) Foundations in machine learning/NLP (embeddings, summarisation, vector search) Containerised environments using Docker & Kubernetes Strong focus on data quality, security & Scalability This is a high-impact role where ...

reporting to the Machine Learning Engineering Manager. Responsibility Work together with the ML team to perform research, testing and evaluation of existing and emerging NLP/ML/DL methods and technologies that could be effectively applied to contractual/legal data Be knowledgeable in and be able to apply … NLP techniques in order to maintain and extend the current rule based, supervised and unsupervised methods Be knowledgeable in and able to apply ML/DL algorithms and technologies to NLP tasks such as Named Entity Recognition, POS tagging, Parsing, Sentiment Analysis, Clustering, text prediction etc. Develop an understanding ...

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 ...

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 ...

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 ...

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 ...

Senior AI/ML Engineer Fully Remote £100,000–£120,000 + benefits About the Role Our client, a blockchain analytics scale-up, is looking for a Senior AI/ML Engineer to join their ...

community of talented, diverse, and knowledgeable colleagues. RESPONSIBILITIES Deep expertise in ABBYY Vantage and other intelligent document processing tools (FlexiCapture, RPA, ML/NLP integrations) Strong troubleshooting, systems analysis, and cloud/SaaS experience in enterprise architecture Excellent communication for both technical and non-technical audiences, with strong project ...

Senior Data Scientist (Contract) – Forecasting + Modern NLP (BERT) Remote (UK/EU) | Outside IR35 | 6 months (likely extension) A leading UK platform is hiring 2 x Data Scientists to stabilise and improve production ML models while supporting key NLP projects. This is a hands-on applied DS role … core): • Forecasting (demand/volume) • Propensity, churn, classification • Tree-based models & classical ML • Handling imbalanced datasets • Debugging, retraining & maintaining 13 production models Modern NLP (secondary but required): • Transformer-based text classification (BERT/DistilBERT/RoBERTa) • Fine-tuning classification heads • Embeddings + cosine similarity search • Supporting LLM-adjacent work ...