Company Description

Here at esure, we’re no strangers to change. As one of the industry leaders in the insurance business, striving to become a world class digital insurer, we’re getting ready for more. It’s creating great new opportunities for innovative and talented industry professionals to join us at a pivotal point in our development.

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.

The day to day:

• 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

• 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

Why choose us?

This is your opportunity to be at the forefront of our game-changing journey and be part of something truly special! And to top it off, here are some perks to life at esure…

• A competitive salary that recognises your skills and potential
• A bonus scheme that celebrates your contribution to esure’s success
• Discounts on our insurance products, for you and your family
• 25 days annual leave, plus 8 flex days to be taken as and when suits you
• Benefits just for you: our hub – My Benefits Box – is loaded with perks to choose from, so you can build a personal toolkit to support your health, wellbeing, lifestyle, and finances.
• Grow your career with us: whatever your goals, we’ll support you with hands-on training, mentoring, a LinkedIn Learning licence, access to our exclusive Academies, regular career conversations, and expert partner resources from the likes of Women in Data and Women in Tech.
• Join our communities: our networks give you the chance to connect, learn and share with like-minded colleagues across the business – for work and play. So, it’s no surprise our people consistently rate ‘making friends at work’ one of the highest scorers in our colleague engagement survey
• More flexibility for you: 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.
• Live a healthy lifestyle: we offer lots of support, so you feel like the best version of yourself – like specialist advice through our employee assistance programme, wellbeing classes, access to the My Health Advantage app, our Big Team Challenge, and learning sessions on topics like menopause.
• A helping hand to do your bit for a greener and safer world: driving good in the world couldn’t be more important to us. That’s why we encourage colleagues to use volunteering days to support their local communities and have lots of initiatives to help you live a greener lifestyle.
• Everyday appreciation: praise from your colleagues means the world! Our social recognition tool makes it easy to give colleagues the praise they deserve, and you could even be shortlisted for a company-wide ACE Award.

We understand some people may not apply for jobs unless they tick every box. If you are excited about joining us and think you have some of what we are looking for, even if you’re not 100% sure we would love to hear from you.