AI Engineer - Reigate in Bury

AI Engineer - Reigate in Bury

Bury Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join us in revolutionising insurance with AI and NLP technologies.
  • Company: esure Group, a leader in digital innovation for insurance.
  • Benefits: Competitive salary, flexible working, private medical insurance, and generous leave.
  • Why this job: Make a real impact on customer experiences through cutting-edge AI solutions.
  • Qualifications: Experience in AI, Python, and delivering models to production.
  • Other info: Inclusive culture with opportunities for professional growth and community support.

The predicted salary is between 36000 - 60000 £ per year.

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.

We currently have a phenomenal opportunity for an AI Engineer to join 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.

AI Engineer - Reigate in Bury employer: esure Group

At esure Group, we pride ourselves on being an exceptional employer, offering a vibrant work culture that champions innovation and collaboration. As an AI Engineer in Reigate, you'll enjoy competitive salaries, generous leave policies, and a commitment to your professional growth through hands-on training and mentoring. Our inclusive environment fosters diverse perspectives, ensuring that every team member feels valued while contributing to our mission of revolutionising insurance for good.
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Contact Detail:

esure Group Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI Engineer - Reigate in Bury

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at esure Group. A friendly chat can sometimes lead to opportunities that aren’t even advertised!

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your AI projects, especially those involving NLP and LLMs. This will give you an edge and demonstrate your hands-on experience when you get that interview.

✨Tip Number 3

Prepare for the technical interview! Brush up on your Python skills and be ready to discuss your approach to deploying AI models. Practice common coding challenges and be ready to explain your thought process.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our mission to revolutionise insurance!

We think you need these skills to ace AI Engineer - Reigate in Bury

Natural Language Processing (NLP)
Large Language Models (LLMs)
Python Programming
MLOps
CI/CD Pipelines
Data Science Stack (e.g., pandas, scikit-learn, Jupyter)
Version Control (e.g., Git)
Model Fine-Tuning
Prompt Engineering
AWS
Docker
MLflow
Kubernetes (k8s)
FastAPI
AGILE Methodologies

Some tips for your application 🫡

Show Your Passion for AI: When writing your application, let your enthusiasm for AI and its potential in reshaping industries shine through. We want to see how your experiences align with our mission to revolutionise insurance for good!

Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter to highlight relevant skills and experiences that match the job description. We love seeing candidates who take the time to connect their background with what we’re looking for.

Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on showcasing your achievements and how they relate to the role of AI Engineer.

Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity to join our team.

How to prepare for a job interview at esure Group

✨Know Your AI Stuff

Make sure you brush up on your knowledge of NLP, large language models, and the latest GenAI technologies. Be ready to discuss specific projects you've worked on and how they relate to the role. This shows you're not just familiar with the concepts but can apply them in a real-world context.

✨Showcase Your Collaboration Skills

Since this role involves working with multi-functional teams, be prepared to share examples of how you've successfully collaborated with others in the past. Highlight your experience engaging with non-technical stakeholders to ensure everyone is on the same page.

✨Demonstrate Problem-Solving Abilities

Think of a few challenges you've faced in previous projects and how you overcame them. This could involve fine-tuning models or deploying applications. Being able to articulate your problem-solving process will impress interviewers and show that you can handle the dynamic nature of the role.

✨Ask Insightful Questions

Prepare some thoughtful questions about the company's digital transformation journey and how the AI Engineer role fits into their vision. This not only shows your interest in the position but also helps you gauge if the company aligns with your career goals.

AI Engineer - Reigate in Bury
esure Group
Location: Bury

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