Job title: Lead AI Engineer
Job type: Permanent
Emp type: Full-time
Industry: Consulting
Salary type: Annual
Salary: GBP £100,000.00
Location: UK Remote
Job published: 29-09-2020
Job ID: 33250

Job Description

Machine Learning Engineer


£85,000 - £110,000


(Benefits: Shares+Options, 10% Pension, Flexible Hours, Learning £, Plus lots more)



EvolveAI is partnering exclusively with a leading publicly traded Digital Transformation Consultancy who is expanding its Data Science and AI capability at a staggering rate.


They currently have multiple openings remotely across the UK for both Machine Learning Engineers and Data Scientists at various levels. Bandings start at £70,000 up to £120,000 for both roles types.


N.B You MUST be able to deliver in a cloud environment and in a client-facing/outcome-based culture.


Essential Experience:

  • Extensive expertise in designing, building, testing and maintaining production software applications that integrate AI services and include data science models.
  • Highly proficient in applying mathematics principles to gain insight from data. 
  • Technical leadership of teams building and testing modern, scalable, secure, applications, which integrate AI and Machine Learning technologies, in line with industry software development principles, practices and patterns.
  • Experience of technical ownership for an AI product/software project, including architecture, estimation, product planning and user story/requirement creation.
  • Expertise in software design and development across all layers of an application
  • Mentoring and coaching members of your team and wider community.
  • Experience with major machine learning frameworks, languages and NLP frameworks.


Desirable Experience:

  • Good communication skills, able to communicate issues to technical and non-technical people.
  • Active participation in knowledge sharing activities, within the team, at a wider AI Capability level and externally where appropriate.
  • Experience in cleansing, filtering and re-factoring complex data from different sources.
  • Experience of debugging and troubleshooting live applications.
  • Knowledge of public cloud platforms such as AWS and Azure, including SaaS and PaaS services.
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