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    Machine Learning Managing Engineer - Belfast, United Kingdom - Allstate Benefits

    Allstate Benefits
    Allstate Benefits Belfast, United Kingdom

    3 weeks ago

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    Description

    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

    Northern Ireland/ Remote, GB

    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 with a hands-on approach, demonstrating technical expertise and generating value.
  • Manage a team of highly skilled Machine Learning Engineers, fostering innovation and promoting collaboration.
  • Offer hands-on mentorship and coaching to your team, promoting continuous learning and professional growth.
  • Evaluate and integrate the latest open-source libraries, tools, and platforms into the team's technology stack.
  • Participate in the ideation and refinement of AI product concepts, guiding solutions from concept to minimum viable product (MVP) stage.
  • Use your industry experience to bring new value to the business, advising on resource allocation and business needs.
  • Collaborate closely with Product Managers, other AI/ML teams, and various Business teams to manage and implement the corporate AI/ML strategy.
  • Manage the AI/ML project backlog, contribute to the creation of an effective vision, and provide stakeholders with timely feedback on development iterations.
  • Establish best practices, processes, and standards for efficient and high-quality prototyping and model development.
  • Stay immersed in the broader AI community, attending conferences, and fostering academic partnerships.

    • 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.
  • Master's or Ph.D. degree in Computer Science, Machine Learning, or a related technical field.
  • Minimum of 5 years' experience in ML/AI.
  • Minimum of 5 years' experience leading ML/AI projects from ideation to production.
  • Experience in leading and managing high-performing technical teams
  • Extensive hands-on experience in applying machine learning techniques to solve real-world problems.
  • Strong programming skills in Python, proficiency with ML frameworks (e.g., TensorFlow, PyTorch).
  • Solid understanding of machine learning concepts, algorithms, and techniques (e.g., deep learning, reinforcement learning, natural language processing).

    • Candidates should also be able to demonstrate the following:

  • Solid understanding of the software development lifecycle and agile development.
  • Excellent communication and collaboration skills, with the ability to bridge technical and business domains.
  • Passion for continuous learning and driving innovation in the field of AI

    • We also have some desirable criteria

  • Experience with GenAI technologies and techniques e.g., RAG, Transformer fine tuning, vector stores, etc.
  • Prior experience working on prompting and tuning large-language models
  • Experience working with cloud technologies such as 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 Monday 3rd June 2024

    #LI-Remote

    #LI-SE1

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