Machine Learning Product Engineer (hybrid or remote)

At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. 

Your role in the team

This lead consultant is a hands-on, forward engineering role in the field of machine learning, information retrieval, artificial intelligence, natural language processing, and ontology engineering technologies. Contributes to the realization of cutting-edge technical capabilities into business applications and solutions by being responsible for applying advanced algorithms and techniques to software solutions.

Your role in the team

The Enterprise Shared Services AI 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 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 rapidly explore and test out your ideas.
• Play a critical role in the design, development, and deployment of AI/ML tools.
• lead the effort in taking AI/ML solutions from proof-of-concept to production-ready state.

You’ll be closely working with a Managing Engineer and Platform Consultants to create scalable, reliable AI solutions from End-to-End.

An ideal Machine Learning Engineer candidate should demonstrate:

 

• Deep understanding of machine learning fundamentals and ability to apply them in developing and implementing AI/ML solutions.
• Experience with GenAI technologies and techniques (e.g., RAG, fine-tuning, vector stores, Agentic frameworks).
• Solid grasp of software development principles, including design patterns, testing, and version control such as Git.
• Proficiency in cloud technologies (Azure/AWS) and containerization using Docker. Experience with Kubernetes for orchestration is desirable.
• 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.
• Comfortable with hands-on involvement in AI/ML experimentation and model development.

Responsibilities include (but are not limited to):

 

• Participate in large projects, demonstrating technical expertise and a hands-on approach in experimentation and productization.
• Engage in hands-on coding, model development, and AI/ML experimentations, focusing on creating production-ready AI/ML solutions.
• Collaborate with Digital Product Managers, other AI/ML teams, and various Allstate Businesses to implement the AI/ML strategy and integrate AI/ML solutions into new and/or existing products.

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 of experience working on AI/ML projects, with a focus on productizing AI/ML solutions.
• Solid understanding of machine learning concepts, algorithms, and techniques (e.g., deep learning, reinforcement learning, natural language processing).
• Strong programming skills in Python, proficiency with ML frameworks (e.g., TensorFlow, PyTorch).
• Extensive hands-on experience in applying machine learning techniques to solve real-world problems.

We also have some desirable criteria

• Solid understanding of agile methodologies.
• Experience with Kubernetes.
• Experience in fine tuning LLMs, Advanced RAG, Agentic frameworks.
• Proficiency working with Azure fabric.

Job Posting end date: Friday 17th January 2025

#LI - EM2 #LI-SE1

Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. And one where you can impact the future for the greater good.  

You’ll do all this in a flexible environment that embraces connection and belonging. And with the recognition of several inclusivity and diversity awards, we’ve proven that Allstate empowers everyone to lead, drive change and give back where they work and live. 

Good Hands. Greater Together.

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.

Posting End Date: