Artificial Intelligence Senior Machine Learning Engineer - hybrid and remote working options availab

Date Opened: May 30, 2021

Location: Belfast, GB Strabane, GB Derry/ Londonderry, GB

Company: Allstate Insurance Company

About Us


At Allstate Northern Ireland, we believe it’s more than just a job.  We believe in allowing our people to choose the direction of their careers.  It’s about you, your future and where you want to get to.


Opportunity is the hallmark of the Allstate career experience.  We invest heavily in our employees, offering long term career development, personal growth and investment in new technologies.  Every day is different, with new ideas, challenges, and rewards — no matter which team you join.


We believe that inclusive diversity is crucial to creating a culture of mutual respect where the strengths and talents of each individual are recognised.  We like to leave things better than we found them and deliver results.  We do all of this while having fun and exploring personal passions.



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


Allstate operate a very flexible hybrid working model with a blend of remote and office working for NI based employees.  Employees based in GB will be employed on a permanent remote working contract





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.


As an Applied Machine Learning Engineer, you will be responsible for multiple major technical aspects and setting direction in the AI field. You will work with both our internal partners, vendors, and academic partners to ensure that Allstate products are utilizing the latest and best Machine Learning (ML) technologies. You will help develop the next generation of machine learning capabilities and talent within Allstate and play a key role in the vision and realization of cutting-edge technical capabilities into business applications and solutions.



About You


  • You are a forward-thinker and are comfortable with research and design.
  • You relish creativity and innovation
  • You demonstrate a high level of technical aptitude and enjoy self-development and continuous learning
  • You have a willingness to learn deep technical skills and apply them to meet business needs
  • You are comfortable with being a core contributor on teams responsible for taking ideas from vision, through design, implementation and iterate based on customer feedback loops
  • You enjoy working both individually and with small teams
  • You ensure understanding of technical matters by non-technical, executive decision makers
  • You develop and use subtle strategies to influence or persuade others, particularly in sensitive or high-pressure situations
  • You extend capabilities by working closely with senior team members/experts both within and outside of internal organization
  • You have a strong interest in leading edge technology, and in user experience/usability
  • You will embrace being empowered to build and implement new ML functionalities and realize cutting-edge ideas through rapid prototyping, development and deployment.
  • You have a willingness to learn deep technical skills and apply them to meet the business needs
  • Be a self-starter who is able to work unsupervised on a variety of, and sometimes ambiguous, requirement
  • Have excellent interpersonal and communication skills, verbal & written
  • Coach team members on best practices and standards.
  • Lead and participate in knowledge sharing and contribute to the overall growth of the collective knowledge of AI and Machine Learning within Allstate



So, what are the essential criteria to apply?


  • All candidates must be able to demonstrate their right to work in the UK
  • BSc degree in Computer Science/Mathematics/Physics [Machine Learning or Artificial Intelligence Modules preferred]
  • Minimum of 3+ years full time hands-on relevant experience
  • Minimum of 2 years demonstrable scripting experience in one of the following:
  • Python
  • R
  • Matlab
  • C++
  • C#
  • SAS
  • Instinctive knowledge of how people will want to use a product, service, or solution that solves a real-world business problem.
  • Interest and Capacity to learn new skills
  • Ability to work in a fast paced, evolving and challenging environment
  • Solid mathematics background (linear algebra, probability, optimization).
  • Good knowledge of statistics skills, such as distributions, statistical testing, regression, etc



We also have some desirable criteria


  • Completed or working towards a MSc/PhD with subject matter expertise in a relevant area
  • Familiarity with Cognitive Technology
  • Tensorflow
  • PyTorch or Similar Deep Learning framework
  • Scikit-Learn
  • Hadoop/RDMS/SQL
  • Full time hands-on machine learning or artificial intelligence software engineering experience e.g. NLP, Computer Vision
  • Experience with various supervised and unsupervised machine-learning technique
  • Experience using statistical modeling or machine learning techniques to build models that have driven company decision making
  • Experience in agile development
  • Knowledge of cloud platforms (for example, AWS, Azure)




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.




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 24th June