Top Machine Learning Jobs in Edinburgh

Design and build high-scale data infrastructure for Ads ML feature computation, enhance data quality, and collaborate with ML engineers.

As a Machine Learning Engineer, you'll develop ML and GenAI solutions, deploy algorithms, monitor performance, and foster a collaborative data culture while identifying opportunities for impact.

Research and develop machine learning models for cybersecurity applications, integrating outcomes into products and collaborating with engineers.

Support business by utilizing Machine Learning applications, designing MLOps infrastructure, ensuring model performance, and collaborating with stakeholders on ML strategies.

The Senior ML Engineer will enhance fine-tuning methodologies, research inference optimization techniques, and re-implement LLM architectures focusing on distributed training and efficiency.

As an AI/ML Engineer, you will design and develop AI-powered applications, integrate AI features into BPM systems, and collaborate with teams to improve operational efficiency through innovative AI solutions.

Lead the development of ML applications and data infrastructure to extract insights from healthcare data. Responsibilities include building ML pipelines, collaborating with teams, and optimizing deployed models.

As a ML Ops Engineer, optimize AI model performance, manage model serving platforms, ensure low latency, and collaborate with teams to enhance AI solutions.

As a Machine Learning Engineer, you will fine-tune language models, evaluate their performance, deploy applications, and collaborate with teams to launch impactful AI solutions.

As a Founding AI/ML Software Engineer, you'll design and deploy ML models for financial services, contribute to AI systems, and collaborate with cross-functional teams.

As an AI/ML Software Engineer, you'll design, build, and deploy machine learning models, manage ML lifecycle, and collaborate across teams to drive automation and insights for financial services.

The Senior ML Engineer will design and deploy intelligent personalization systems and dynamic decisioning engines while developing scalable ML models within the GCP ecosystem.

Lead Machine Learning initiatives focusing on fraud prevention and customer personalization, fostering collaboration across teams to enhance banking experiences through advanced ML models.

The Senior Platform Engineer in Machine Learning at Monzo will design, maintain infrastructure for ML models, and work with various cloud technologies.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

End-to-end delivery of ML-powered services, involving research, prototyping, production, and operations. Collaborate on product requirements while maintaining high quality and operational excellence.

Design and implement ML solutions, fine-tune and integrate LLMs, and collaborate on deploying intelligent features in production environments.

As a ML Performance Engineer, optimize model training and inference pipelines, develop efficient solutions, and promote best practices in computing resources.

Research and develop AI/ML models for handwriting recognition and related technologies, collaborating with a multidisciplinary team to deliver innovative features.

As a Senior Software Engineer, you'll create advanced AI systems to improve developer productivity, integrate existing tools, and mentor junior engineers.

Lead the design, optimization, and deployment of machine learning forecasting algorithms and models that support Gorilla’s energy platform, ensuring scalability and integration while mentoring peers.