101 to 103 of 103 Natural Language Processing Jobs in London

AI Engineer

Hiring Organisation
KBC Technologies UK LTD
Location
London, South East, England, United Kingdom
Employment Type
Contractor
Contract Rate
Salary negotiable
Engineer to join our team. The ideal candidate will bring deep expertise in building and deploying AI/ML solutions, particularly in areas like NLP, document understanding, and search/retrieval systems. You will work in a dynamic environment, collaborating across teams to design scalable AI-driven solutions and bring … them into production. Key Responsibilities: Design, develop, and deploy AI/ML solutions with a focus on NLP, document understanding, and information retrieval. Integrate AI models into systems using APIs and message brokers such as REST and Kafka. Implement secure systems using modern authentication and authorization standards like OAuth2 ...

Machine Learning Engineer

Hiring Organisation
Movement8
Location
London Area, United Kingdom
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. ...

Machine Learning Engineer

Hiring Organisation
Movement8
Location
City of London, London, United Kingdom
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. ...