Machine Learning Engineer

• The Team  

  Our Data Science & Analytics team leads on exploring new insights from our data that benefit the customer and Aflac to provide the building blocks for new products, benefits, and offerings within the industry.  

   

  The team are involved with data discovery, analytics and model development which contributes to the consolidation and enrichment of our existing data. If you have experience in ML engineering and pipeline configuration, this is a rare opportunity to use your expertise to help shape the ongoing success of this team. 

   

  Working on some of the biggest problems for the company, the teamoperateswith the freedom to explore, develop, and learn new insights.These are used to prototype, pilot and launchnew products todrive decision making and ultimately create a better experience for our customers. As part of this team, you willbring your experience in data science and MLOPs to turn these ideas into reality.  

   

  The Role  

   

  We are expanding our team at the leading edge of data science & analytics, and we are looking for a dynamic, inquisitive individual to help us grow our expertise in machine learning engineering. We want a collaborative individual to help further enhance our data practice, working to turn research and experimentation into actual beneficial outcomes for our customers and business. If that sounds like you then keep on reading.  

   

  We want an open-minded free-thinking Machine Learning Engineer who enjoys solving complex data driven problems within a team environment. We are looking for a person who is self-motivated and driven to look at problems through a different lens, diving deep to challenge the status quo and educate leadership on the power behind the information which insurance companies hold. 

   

  What you'll be doing  

  • Be curious, have a questioning mindset and be part of a team who find new insights and prove business value from our data.   
  • Freely experiment from conception to prototype to production.Working with in-house engineering teams and third parties to iterate and test model assumptions.  
  • Support the rest of the team as they gather insights, build, deploy and train new data models.
  • Develop strong working relationships with data engineers to maximize the outcomes of the team’s research and the impact this can have on our customers often using visual tools to demonstrate the findings.    
  • Solve complex problems in a collaborative and open learning environment.   
  • Listening to the inputs of others and work towards the best solution that maximizes the value to the policyholder, without ego or prejudice.  

   

  What you need to have  

  Below is an overview of the skills and experience we are looking for, but remember, don’t rule yourself out if you don’t have everything on the list – it’s your intellect and your attitude we’re after.  

   

  Essential

  • Bachelor’s degree. Comparable commercial experience may also be considered. 

  • Background in ML software development & pipeline configuration. 

  • Good understanding of research & product development. 

  • Familiar with DataOps & MLOps. 

  • Experience of deploying, testing & monitoring ML models in production. 

  • Good understanding of the principled evaluation of ML models. 

  • Familiar with many different data sources and types 

  • Experience/Knowledge in Machine Learning/ Semantic analysis 

  • Familiar with cloud-based technologies (AWS, Azure or GCP) 

  • Experience programming in Python. 

  • Excellent written and verbal communication skills  

  • Experience or the willingness to learn any new technologies. 

  • Comfortable building automated test infrastructure for ML models 

   

  Desirable  

  • MSc or PhD in a STEM discipline 

  • Experience with Generative AI 

  • Experience working and collaborating in teams particularly in the data space.  

  • Experience of stakeholder engagement  

   

  What's in it for you? 

  We offer great personal development opportunities and roles with breadth, depth of scope and impact. We also offer comprehensive packages including: 

  • Competitive Salary (depending on experience) 

  • Bonus – paid in year. 

  • 35 Days holiday – you choose when to use it, not to be determined by ‘when the banks close!’ 

  • Company pension 

  • Life assurance 

  • 2 Private Medical providers to pick from, covering not just you but your family too. 

  • Cycle to Work Scheme 

  • Tech perks 

  • Health & Dental insurance 

  • Amazing onsite facilities including a dedicated health and wellbeing room, dedicated desk, free vending machines, endless caffeine, and unrivalled views of Belfast!  

   

  So that’s us. Thanks for taking the time to read this far. We look forward to hearing from you if you fancy joining a tech innovation company with the agility of a start-up and the stability of a Fortune 500 U.S. company.  

   

  Aflac Northern Ireland is an equal opportunities employer