Artificial Intelligence Engineer

Synapri Ltd
UK
7 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon Web Services Computer Vision Microsoft Azure Software as a Service Cloud Computing Integrated Development Environments Python (Programming Language) Machine Learning Natural Language Processing Tensorflow Pytorch
+4 more
Large Language Models Deep Learning Machine Learning Operations Data Pipelines

Job description

AI Engineer required for a permanent opportunity with an established SaaS business developing AI-powered platforms for the property industry. You will develop, advance and maintain AI capabilities across client products, architect scalable AI systems, and translate business objectives into AI-driven solutions.

You will be part of a small AI/ML dedicated team within the tech & product function, contributing to the design, development, and implementation of advanced AI/ML models, frameworks, and systems. A notable part of the role involves building, training, and optimizing machine learning models, including deep learning computer vision models, and fine-tuning natural language processing (NLP), and integrating third-party generative AI models., * Develop, advance and maintain AI capabilities across client products.

  • Architect scalable AI systems and collaborate with cross-functional stakeholders to translate business objectives into AI-driven solutions.
  • Contribute to the design, development, and implementation of advanced AI/ML models, frameworks, and systems.
  • Build, train, and optimize machine learning models, including deep learning computer vision models, and fine-tune NLP models.
  • Integrate third-party generative AI models.

Requirements

  • 3+ years of experience in machine learning, deep learning or AI engineering.
  • Advanced proficiency in Python and ML frameworks like PyTorch.
  • Experience deploying and maintaining scalable production-grade AI systems.
  • Strong understanding of data pipelines, MLOps and cloud platforms (AWS and Azure).
  • Experience working in small or mid-sized tech/software development environments is advantageous.

Benefits & conditions

The role operates with flexible working - ideally 1 day onsite per week, or 1 day per month for the right candidate.

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