AI Engineer

• Castlefield Rd, Reigate RH2, UK
• Full-time
• Working Hours: 35 hours per week
• Salary: Competitive
• Department: Technology

Company Description

Ready to join a team that's leading the way in reshaping the future of insurance? Here at esure Group, we are on a mission to revolutionise insurance for good!

We’ve been providing Home and Motor Insurance since 2000, with over 2 million customers trusting us to keep them covered through our esure and Sheilas’ Wheels brands. With a bold dedication for digital innovation, we're transforming the way the industry operates and putting customers at the heart of everything we do.

Having completed our recent multi-year digital transformation, we’re now leveraging advanced technology and data-driven insights alongside exceptional service, to deliver personalised experiences that meet our customers ever-changing needs today and in the future.

Job Description

We currently have a phenomenal opportunity for an AI Engineer to join our us as we enhance our customer experience by harnessing the power of NLP, large language models, and flawless integration with third-party GenAI services. In this dynamic role, you'll be involved in every stage of the AI lifecycle, from brainstorming ideas and crafting prompts to fine-tuning models and deploying them into production. Success in this role is measured through rigorous A/B testing, ensuring our solutions deliver real value.

You'll have the opportunity to work on a variety of impactful projects across the entire enterprise. We are seeking an innovative individual who shares our vision to fix insurance for good.

What you’ll do:

• Collaborate with business partners to identify use-cases where GenAI can provide measurable benefits.
• Support the data science and AI team in deploying scalable AI applications across the enterprise.
• Work with a multi-functional team (DevOps, data engineers, developers, testers, Infosec) to productionize AI services on AWS.
• Enhance our tech stack, including MLOps, CI/CD pipelines, UI, and AI Python libraries.
• Develop prompts, fine-tune models, and track results.
• Evaluate third-party GenAI and LLM technologies for cost-benefit analysis.
• Deliver projects from scoping and R&D to production deployment and benefit measurement.
• Follow and contribute to standards for code quality, R&D, and model development.
• Engineer data for optimal AI application performance.
• Advise peers and senior management on business and customer impact.
• Write production-grade Python code, leveraging CI/CD, Databricks, and ensuring appropriate test coverage; proficiency in SQL.
• Liaise with third-party partners and stay updated on field advancements and regulations.
• Collaborate with data governance and data management teams on data requirements.

Qualifications

What we’d love you to bring:

• You are a self-starter with experience in delivering research + models to production to drive tangible commercial benefits and improved customer experiences.
• You thrive in working autonomously and collaboratively to drive impact in a fast-paced multi-functional business.
• PhD or MSc experience in a numerate subject: Machine Learning, Computer Science, Statistics, or equivalent,
• Demonstrable experience of applying, researching, and developing sophisticated NLP models, prompt engineering + fine-tuning LLMs to drive value in a commercial setting,
• Able to work independently and efficiently to deliver projects on time, taking project briefs and refining them to strong results.
• Experienced in engaging with non-technical stakeholders to scope, design and build an appropriate ML solution.
• Proficient with Python data science stack, e.g., pandas, scikit-learn, Jupyter etc., and version control, e.g., Git.
• Exposure to LLMOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow, k8s, FastAPI etc.
• Knowledge of Langchain, huggingface and LLM offerings by 3rd party vendors.
• Knowledge of OO programming and software design, i.e., SOLID principles.
• Knowledge and working experience of AGILE methodologies.
• Familiarity with Databricks, and RAG application architecture a plus
• Experience with latency optimisation and quantisation preferred

Additional Information

What’s in it for you?:

• Competitive salary that reflects your skills, experience and potential.
• Discretionary bonus scheme that recognises your hard work and contributions to esure’s success.
• 25 days annual leave, plus 8 flexible days and the ability to buy and sell further holiday.
• Our flexible benefits platform is loaded with perks to choose from, so you can build a personal toolkit to support your health, wellbeing, lifestyle, and finances.
• Company funded private medical insurance for qualifying colleagues.
• Fantastic discounts on our insurance products! 50% off for yourself and spouse/partner and 10% off for direct family members.
• We’ll elevate your career with hands-on training, mentoring, access to our exclusive academies, regular career conversations, and expert partner resources.
• Driving good in the world couldn’t be more important to us. Our colleagues can use 2 volunteering days per year to support their local communities.
• Join our internal networks and communities to connect, learn, and share ideas with likeminded colleagues.
• We’re a proud supporter of the ABI’s ‘Make Flexible Work’ campaign and welcome you to ask about the flexibility you need. Our hybrid working approach also puts you in the driving seat of how and where you do your best work.
• And much more; See a full overview of our benefits here Reward and benefits | Esure Group PLC

We are committed to creating an inclusive and diverse workplace where everyone feels valued, respected, and empowered. We celebrate individuality and create spaces where unique backgrounds and experiences can come together. We believe that diverse perspectives drive innovation, in turn enabling us to better serve our customers, community and build a stronger organisation. Our commitment to inclusion extends to every part of our business, from hiring practices to professional growth opportunities, ensuring equal access and support for all.

We are proud supporters of Women in Data. Connect, engage and belong to the largest free female data community in the UK – visit: www.womenindata.co.uk to join our community.

“Stay connected! Follow us on LinkedIn for updates on career opportunities and more.”