4 of 4 Permanent Pattern Recognition Jobs in London

Financial Services AI Engineer

Hiring Organisation
Leading Point
Location
City of London, London, United Kingdom
some work from home. The AI Engineer 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 on a day-to-day basis. Qualifications Pattern Recognition and Neural Networks ...

AI Engineer

Hiring Organisation
Northell
Location
Greater London, England, United Kingdom
designing, developing, and implementing AI-driven solutions. Daily tasks include building and optimizing machine learning models, applying natural language processing techniques, and enhancing pattern recognition systems. You will collaborate with cross-functional teams to identify challenges and implement innovative solutions tailored to the organization’s needs. Qualifications Strong … expertise in Pattern Recognition and Neural Networks Proficiency in Computer Science and Software Development Experience in Natural Language Processing (NLP) techniques and applications Proven problem-solving and critical thinking skills Ability to work collaboratively within a hybrid environment Bachelor's or Master's degree in Computer Science, Artificial ...

Machine Learning Engineer

Hiring Organisation
mthree
Location
City, London, United Kingdom
Employment Type
Permanent
Salary
GBP Annual
risk analytics Build scalable ML pipelines for processing large-scale financial data Develop deep learning architectures for time series prediction, anomaly detection, and pattern recognition in market data Optimize model performance through advanced techniques including hyperparameter tuning, ensemble methods, and neural architecture search Collaborate with quants to understand ...

Senior ML Engineer

Hiring Organisation
Oscar Associates (UK) Limited
Location
London, United Kingdom
Employment Type
Permanent, Work From Home
Salary
£90,000
workflow automation. Build agentic/LLM-driven workflows for multi-step decision making across diverse data sources. Architect and deliver ML features such as pattern recognition, entity extraction, and intelligent automation. Design scalable data and streaming pipelines capable of handling large, heterogeneous datasets. Build and optimize vector search ...