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Location

Hybrid Remote, United Kingdom

Salary

Negotiable

Job Type

Full-time

Date Posted

June 18th, 2025

View All Jobs

Head of Production AI at iProov

Location

Hybrid Remote, United Kingdom

Salary

Negotiable

Job Type

Full-time

Date Posted

June 18th, 2025

Apply Now

View All Jobs

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Head of Production AI


 

About iProov

 

iProov is the world leader in biometric verification. We are on a mission to make the world a safer place for businesses and consumers and work with fantastic customers across a number of industry sectors - organisations using our technology include the US Department of Homeland Security, the UK Home Office, the NHS, Eurostar, the Australian government, the Singapore government, UBS and many more.

 

Diversity at iProov is about reflecting the customers we serve, holding the principles of equality and inclusion at the heart of everything we do and all that we stand for, embracing differences, creating possibilities, and growing together. We aim to foster a culture where individuals of all backgrounds feel confident in bringing their whole selves to work, feel included and their talents are nurtured, empowering them to contribute fully to our purpose.

 

The Role

 

Reports to: Chief Scientific Officer

Location: London, UK 

 

We are looking for an experienced and highly skilled Head of Production AI to join our team. As the Head of Production AI, you will be responsible for leading the development and maintenance of the core AI systems within the production system to meet the security and performance requirements of the business. 


 

If you have a passion for applying cutting edge AI to the field of biometric security and a desire to lead development in these areas, then we encourage you to apply for this exciting opportunity as an Head of Production AI.

 

How you can make an impact 

 

  • Lead the development and maintenance of the core production AI algorithms to meet the business goals, primarily the detection and mitigation of biometric threats, including presentation and injection attacks, whilst ensuring that algorithms are fair, robust and explainable.
  • Lead the team to ensure that all members are motivated and supported, creating an environment where engineers thrive
  • Develop and operate efficient processes around data pipelining, training, algorithm optimisation and evaluation
  • Oversee the development of new algorithms where required, and drive algorithmic improvements where required
  • Develop and maintain an in-depth understanding of emerging biometric threat landscapes
  • Work closely with the Head of Biometric Platform and the Product team to ensure that the algorithm development is aligned with our product requirements and strategic objectives 
  • Work closely with the Biometric Operations team to ensure that algorithms can be deployed in an efficient and effective manner
  • Work closely with other teams within iProov developing AI, such as the Research and Biometric Platform teams, to make available, where appropriate, automation systems for data pipelining, training and model evaluation
  • Work closely with MLI team to improve efficiency through automation 
  • Develop and maintain relationships with external partners, including academic researchers and industry experts, to stay up-to-date on the latest advancements in AI and AI development and automation

 

What we would like to see for you 

 

  • Bachelor's or Master's degree in ML, AI, Computer Science or related field
  • At least 4 years of experience in AI
  • Demonstrated experience in leading a team of AI engineers 
  • Demonstrated experience in developing and implementing effective cutting edge AI systems
  • Strong awareness of state of the art AI and developments in the field
  • Excellent communication skills, with the ability to clearly convey complex technical concepts to both technical and non-technical stakeholders
  • Strong problem-solving skills and ability to work under pressure
  • Experience with programming languages such as Python, C++ or Java
  • Experience with machine learning frameworks such as TensorFlow, PyTorch or Keras

Apply Now

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