Senior AI Engineer

London
1 year ago
Applications closed

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Fully remote position.

My growing client who have recently IPO'd, are seeking an experienced Senior AI Engineer to work on end-to-end solutions, as well as collaborating with cross functional teams to achieve this. You will also be creating Cost Models.

Key responsibilities:

  • Working within a core AI team responsible for new solutions, augmentation and extension of current solutions

  • Building an understanding of where suitable areas for AI incorporation make business sense. working in conjunction with other functions and support the product and technology roadmap, as well as contributing ideas to it

  • Focus on creating intelligent systems that learn from data and work on integrating this into a wider system to augment an existing product’s capabilities

  • Lead in developing intelligent features into future product

  • Develop and have input into the design and architecture of the system

  • Working with both internal and external stakeholders

  • Help shape their technology stack now and into the future

  • Create suitable cost models to help aid decision making and options

  • Identify potential risks in the process i.e. governance and work proactively to mitigate these.

  • Acting as a design sounding board to other AI business areas when required

  • Building and contributing to key strategy, processes and artifacts to support the AI function

    Key requirements:

  • Excellent communication (written and verbal) and interpersonal skills

  • Able to work individually and as part of a team

  • Strong analytical and problem-solving abilities

  • Self-motivated with a strong work ethic and attention to detail

  • Adaptability and willingness to learn and share

  • Possessing a genuine interest in keeping up to date with industry and emerging trends in AI

  • Have recognised Azure certifications (e.g. Azure Fundamentals)

  • Experience with Data Analytics and Machine Learning Algorithms.

  • Have experience in running AI models in production on Azure, as well as with deployment platforms.

    If this sounds like you, then please apply now for immediate consideration

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