Artificial Intelligence Machine Learning Engineer (hybrid or remote)

• About Us

   

   

  The world isn’t standing still, and neither is Allstate. We’re moving quickly, looking across our businesses and brands and taking bold steps to better serve customers’ evolving needs. That’s why now is an exciting time to join our team. You’ll have opportunities to take risks, challenge the status quo and shape the future for the greater good.

   

  You’ll do all this in an environment of excellence and the highest ethical standards – a place where values such as integrity, inclusive diversity and accountability are paramount. We empower every employee to lead, drive change and give back where they work and live. Our people are our greatest strength, and we work as one team in service of our customers and communities.

   

  Allstate operate a very flexible hybrid working policy that will allow you to design your working week in collaboration with your manager with a blend of remote and office working for NI based employees as well as condensed working patterns (4 day week/9 day fortnight). Employees based in GB will be employed on a permanent remote working contract.

   

  Join our team and you’ll find challenge and reward in a culture of innovation, support and balance. 

   

   

  Location

   

   

  Belfast/ Derry-Londonderry/ Strabane/ Remote, GB

   

   

   

  Your role in the team

   

   

  Data has been at the heart of the insurance industry for many years and the amount generated daily is growing exponentially. A huge opportunity exists to create massive disruption to the insurance model due to technology improvements, which allows us to uncover greater insights.

   

  The Artificial Intelligence Centre of Excellence (AI COE) team will create an intense learning and development environment to develop skills at the cutting edge of technology. The resources on this team will be responsible for researching, designing, and building systems through implementation of supervised and unsupervised machine-learning techniques. Technologies and methodologies applied will include machine learning, information retrieval, artificial intelligence, computer vision, natural language processing, and/or ontology engineering technologies. Incumbents will work both individually and with small teams to envision and realize cutting-edge ideas through rapid prototyping, development and deployment. Teams will work on business problems and Proof of Concepts to help determine which opportunities to pursue further and share these findings to assist Allstate’s future product development.

   

   

   

  So, what are the essential criteria to apply?

   

   

  • All candidates must evidence an existing right to work in the UK'
  • BSc degree in Computer Science/Mathematics/Physics or equivalent fields [Machine Learning or Artificial Intelligence Modules preferred] or equivalent experience
  • 3 years relevant experience with programming/scripting
  • Experience using Machine Leaching techniques

   

   

  The successful candidate must also demonstrate a high competency in:

   

  • Experience of engaging with business stakeholders to solve real world problems
  • Interest and Capacity to learn new skills and stay abreast of new ML techniques
  • Ability to work in a fast paced, evolving, and challenging environment
  • Solid mathematics background (linear algebra, statistics, optimization)

   

   

   

   

  We also have some desirable criteria

   

   

  • Completed or working towards a MSc/PhD with subject matter expertise in a relevant area
  • Tensorflow, PyTorch or Similar Deep Learning framework
  • Experience using structured and unstructured data using Hadoop/RDMS/SQL
  • Experience of developing ML products from POC through to development and deployment
  • Knowledge of cloud platforms e.g. AWS, Azure
  • Experience with collaboration tools for coding such as GitHub
  • Experience with cloud deployments of applications (preferably ML applications) – AWS, Jenkins, Azure, Docker

   

   

   

  What we offer

   

  As Digital DNA’s Workplace of the Year 2020 winners, we offer a generous benefits package that includes flexible annual leave entitlement, dental and healthcare insurance, an attractive pension package and discounts on gym memberships, public transport and parking.

  Allstate invests heavily in your development, as an employee you will have access to multiple world-class learning platforms and courses from our award-winning in-house Learning & Development team.

  We pride ourselves in providing clear career paths and opportunities for internal mobility allowing you to further develop within the organisation.

  We encourage a better work life balance and you’ll have the opportunity to apply for various flexible working arrangements.

   

   

   

  Apply Here: https://bit.ly/3yN529b 

   

   

  Statement on Fair Employment and Equal Opportunities

   

   

  Allstate NI wishes to ensure equal opportunity is given to all job applicants.  This company will not discriminate on the grounds of race, gender (including gender reassignment status), sexual orientation, religious belief, political opinion, marital status, age or disability.

   

  We are an equal opportunities employer. We welcome applications from all suitably qualified persons. However, as women are currently under-represented in our workforce, we would particularly welcome applications from women. All appointments will be made on merit.

   

  Applicants should note Allstate NI complete AccessNI background checks on all candidates offered a position.

   

   

   

  The closing date for receipt of applications is 5th January 2022