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 within the AI/Data Accelerator team you will:

• Work in 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.

You’ll be closely working with a Managing Engineer and Platform Consultants 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
• Strong understanding of AI/ML concepts and ability to apply them 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):

• Conduct research and develop prototypes using state-of-the-art machine learning methods, algorithms, and frameworks.
• Collaborate with data scientists, researchers, and subject matter experts to understand business problems and develop innovative AI solutions.
• Rapidly iterate and test hypotheses, leveraging your strong understanding of machine learning principles and techniques.
• Evaluate and integrate cutting-edge open-source libraries and tools into our AI technology stack.
• Design, implement, and optimize machine learning models for various use cases, ensuring high performance and scalability.
• Participate in the ideation and refinement of AI product concepts, taking solutions from concept to minimum viable product (MVP) stage.
• Stay abreast of the latest advancements in machine learning, attending conferences, and engaging with the broader AI community.
• Use open-source libraries, LLMs and frameworks to create solutions by using your hands-on experience with Data Science and cloud computing.

So, what are the essential criteria to apply?

• Master's or Ph.D. degree in Computer Science, Mathematics, Statistics, or a related quantitative field.
• Solid understanding of machine learning concepts, algorithms, and techniques (e.g., deep learning, reinforcement learning, natural language processing).
• Experience with GenAI technologies and techniques such as RAG, LLM tuning, Agents, vector stores etc.
• At least 4 years of experience in programming languages like Python, Java, or C++
• At least 4 years of experience using machine learning frameworks like PyTorch, TensorFlow, or Scikit-learn.
• Experience in modern model algorithms and architectures (BERT, LLama, Deployment of LLMs on GPU instances)
• Experience with prototyping and rapidly iterating on machine learning models

Candidates should also be able to demonstrate the following:

• Ability to communicate complex technical concepts to both technical and non-technical stakeholders
• Passion for continuous learning and a growth mindset.

We also have some desirable criteria:

• Prior experience working on prompting and tuning large-language models is a plus

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 31st May 2024

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