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Machine Learning Managing Engineer (hybrid) at Allstate
Belfast, United Kingdom


Job Descrption

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).

 

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

 

 

Location

 

 

Northern Ireland

 

 

Your role in the team

 

The AI/Data Acceleration team pioneers’ transformative innovations by harnessing AI to tackle Allstate's most complex challenges with an interdisciplinary, forward-thinking approach. As Tech Lead and coach within the AI/Data Accelerator team you will:

 

 

  • Lead a highly talented diverse team.
  • Be encouraged to continuously learn new skills, technologies, and tools.
  • Identify areas for innovation and have the freedom to explore and test out your ideas in PoCs.
  • Play a critical role in the design, development, and deployment of intelligent automation tools.
  • Mentor, coach and inspire member of your team.

 

 

You’ll be closely working with a Digital Product Manager and Platform Consultant to create ML experiments, PoC’s and work with engineering teams to move high impact projects to production.

 

 

 

An ideal Machine Learning Engineer candidate should demonstrate:

 

  • Inquisitive nature, with a deep understanding of both technical and business aspects
  • Data-driven decision maker, combining robust analytical thinking with sound business judgment.
  • Excellent communicator with both technical and non-technical team members, and dynamic leadership skills with the ability to inspire teams.
  • Effective manager with a passion for fostering leadership and high performance within the team.
  • Strong understanding of AI/ML concepts and ability to guide the team in developing and implementing AI/ML solutions.
  • Comfortable with hands-on involvement in AI/ML experimentation and model development

 

 

 

Responsibilities include (but are not limited to):

 

  • Lead AI/ML projects, demonstrating both technical expertise and a hands-on approach in AI/ML experimentation.
  • Offer hands-on mentorship and coaching to your team of ML engineers, guiding them through AI/ML experimentations and model development.
  • Collaborate closely with Product Managers, other AI/ML teams, and various Allstate Businesses to manage and implement the AI/ML strategy.
  • Take an active role in managing the AI/ML project backlog, contribute to the creation of an effective vision, and provide stakeholders with timely feedback on development iterations. 

 

 

 

So, what are the essential criteria to apply? 

 

  • All applicants must demonstrate they have a legal right to work in the UK for employment at Allstate. Allstate is not providing sponsorship for this vacancy.
  • Minimum of 5 years’ experience in ML/AI
  • Minimum of 2 years’ experience leading ML/AI projects from ideation to production

 

 

 

 

We also have some desirable criteria

 

  • Solid understanding of the software development lifecycle and agile development
  • Experience with GenAI technologies and techniques e.g. RAG , fine tuning, vector stores etc.
  • Experience working with cloud technologies azure/aws
  • Experience in leading and managing cross-functional teams.

 

What we offer

 

As Digital DNA’s Workplace of the Year 2020 & 2022 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.

 

 

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 Friday 26th April 2024

 

#LI-Hybrid

#LI-SE1

 


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