AI Consultant

  • Location

    London, England

  • Sector:


  • Job type:


  • Salary:

    market rates

  • Contact:

    Rachel Eccles

  • Contact email:

  • Job ref:


  • Published:

    6 months ago

  • Duration:

    3-6 months

  • Expiry date:


  • Start date:


Role: AI Consultant

Start Date: ASAP

Location: Remote (however candidates must be flexible to travel around the UK)

Duration: 4 months

Our client is looking for a Strategic adviser and practitioner of emerging technologies with a good understanding of 4th Industrial revolution approaches to help companies achieve Business outcomes and there technological ambitions. We expect this person to have a good understanding of the value chain of data, through the mediums of Big Data, Artificial Intelligence Analytics, Cloud and digital solutions. To align with the customer needs and to bring to life best in class solutions to meet business outcomes.

Project description:

This is a Consulting role encompassing Business Development and Delivery that will be predicated to building trusted relationships with clients based on achieving high value business outcomes enabled by industry-leading AI & Data technology. Working across both presales and delivery, skills will be expected to be enhanced through working on existing projects.

  • Identifying business challenges & opportunities in our clients that can be solved through AI & Data technology.
  • Leveraging AI & Data ecosystem solutions and Core to edge capabilities
  • Supporting the sales process to convert the above opportunities into billable work.
  • Delivery of explore workshops to identify opportunity and delivery of initial experiment phases with our clients.
  • Supporting and enabling the development on the ecosystem of AI & Data solutions & people.


  • Experience delivering AI, Machine Learning, Big Data Architecture is a must.
  • Understanding of multiple machine learning and artificial intelligence frameworks and languages, such as: Caffe; TensorFlow; Python; R.
  • Understanding of code optimization in analytics and machine learning algorithms and models

Experience should also include areas such as:

  • Data visualisation
  • Business Intelligence
  • Business Analytics
  • Data platform technologies such as Hadoop , relational data bases
  • Container technologies like Kubernetes, Docker
  • Knowledge and understanding of data pipeline tooling such as Dataiku
  • Real Time data solutions

Please submit CVs in the first instance.