At a Glance
- Tasks: Drive AI innovation and automation in a leading insurance marketplace.
- Company: Join Lloyd’s, the world’s top insurance and reinsurance marketplace.
- Benefits: Enjoy flexible working, competitive salary, and professional development opportunities.
- Why this job: Make a real impact with cutting-edge AI solutions in a supportive environment.
- Qualifications: Experience in AI engineering, data architecture, and collaboration skills.
- Other info: Be part of a diverse team focused on building a braver future.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Lloyd’s is the world’s leading insurance and reinsurance marketplace. We share the collective intelligence and risk sharing expertise of the market’s brightest minds, working together for a braver world. Our role is to inspire courage, so tomorrow’s progress isn’t limited by today’s risks. Our shared values: we are brave; we are stronger together; we do the right thing; guide what we do and how we act. If you share our values and our passion to build a future that’s more sustainable, resilient and inclusive, you’ll find a home at Lloyd’s – build a braver future with us.
You will deliver & accelerate the adoption of AI-driven solutions within Lloyd’s Databricks Lakehouse environment, enabling actionable insights, automation, and innovation across the Corporation and the Market. This role provides a clear ownership of meaningful work, access to modern data stacks, and a hybrid working environment with a clear executive Data & AI strategy that includes strong AI governance.
Principal Accountabilities- Maintain and enforce best practices for AI engineering and governance within the Lakehouse architecture, ensuring compliance and security standards.
- Integrate generative AI capabilities (e.g., Databricks Genie) into business workflows to automate processes and deliver advanced analytics solutions.
- Operationalise AI and machine learning models within the Databricks Lakehouse environment, including deployment, monitoring, and optimisation of data pipelines.
- Collaborate with cross-functional teams to embed AI-driven insights into core business processes, ensuring alignment with Lloyd’s Data & AI strategy.
- Contribute to the development of Lloyd’s Data & AI Marketplace, supporting innovation and enabling self-service analytics capabilities for stakeholders.
- Drive continuous improvement and innovation by researching emerging trends in AI, ML, and visualisation technologies, recommending enhancements to tools and processes.
- Provide technical leadership and knowledge sharing within the AI & Analytics team, mentoring colleagues on visualisation techniques and AI engineering practices.
- Monitor and report on performance and adoption of AI solutions, ensuring measurable business impact and alignment with strategic objectives.
- Lakehouse & Data Engineering: Databricks SQL, Delta Lake, pipeline orchestration, Unity Catalog, Azure data governance and performance optimisation, built secure, scalable Lakehouse pipelines and data products.
- ML Engineering & MLOps: Python/SQL for ML, CI/CD, automated testing, monitoring, experience deploying and maintaining ML models with drift/quality controls.
- GenAI & Agentic Systems: LLM orchestration, secure prompting, RAG, vector search, delivered GenAI PoCs and workflow‑embedded solutions.
- Solution Design & SDLC: Designing reference architectures, defining NFRs, Agile delivery, created solution designs through to production with strong governance alignment.
- Observability & Performance: Telemetry, metrics, SLOs, cost optimisation, improved pipeline reliability and reduced run-costs.
- Collaboration & Leadership: Cross-functional partnering, code reviews, mentoring, enabled teams to adopt standards and influenced platform evolution.
- Continuous Innovation: Rapid prototyping, vendor evaluation, cost–value assessment, converted PoCs into production solutions.
- Postgraduate degree in a relevant field.
- Professional experience or certifications in data architecture, business intelligence, data engineering, or analytics.
Diversity and inclusion are a focus for us – Lloyd’s aims to build a diverse, inclusive environment that reflects the global markets we work in. One where everyone is treated with dignity and respect to achieve their full potential. In practice, this means we are positive and inclusive about making workplace adjustments, we offer regular health and wellbeing programmes, diversity and inclusion training, employee networks, mentoring and volunteering opportunities as well as investment into your professional development.
We understand that our work/life balance is important to us all and that a hybrid of working from the office and home can offer a great level of flexibility. Flexible working forms part of a total reward approach which offers a host of other benefits over and above the standard offering (generous pension, healthcare, wellbeing etc). These include financial support for training, education & development, a benefit allowance (to spend on our flexible benefits such as gym membership, dental insurance, extra holiday or to partake in our cycle to work scheme), employee recognition scheme and various employee discount schemes.
By choosing Lloyd’s, you will be part of a team that brings together the best minds in the industry, and together with our underwriters and brokers, we create innovative, responsive solutions allowing us to share risk and solve complex problems.
AI Engineer employer: Lloyd's
Contact Detail:
Lloyd's Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at Lloyd’s on LinkedIn or through mutual connections. Ask them about their experiences and any tips they might have for landing the AI Engineer role. Personal connections can give you insights that job descriptions just can’t.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Since this role involves Databricks and AI engineering, make sure you can talk confidently about your experience with these technologies. Practise explaining complex concepts in simple terms – it shows you really understand your stuff!
✨Tip Number 3
Show your passion for innovation! During interviews, share examples of how you've driven continuous improvement in past roles. Talk about any projects where you’ve integrated AI solutions or optimised processes. This will demonstrate that you’re not just a fit for the role, but also aligned with Lloyd’s values.
✨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 being part of the Lloyd’s team. So, get your application in and let’s build a braver future together!
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and its potential shine through. We want to see how you can contribute to our mission of building a braver future with innovative AI solutions.
Tailor Your Experience: Make sure to highlight your relevant experience in AI engineering and data governance. We’re looking for specific examples that demonstrate your skills in deploying ML models and working with Databricks Lakehouse.
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your achievements and how they align with our values at Lloyd’s. We appreciate clarity and directness!
Apply Through Our Website: Don’t forget to submit your application through our official website. It’s the best way for us to receive your details and ensure you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Lloyd's
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI engineering and the specific tools mentioned in the job description, like Databricks and Python. Be ready to discuss how you've used these technologies in past projects and how they can be applied at Lloyd’s.
✨Showcase Collaboration Skills
Lloyd’s values teamwork, so prepare examples of how you've successfully collaborated with cross-functional teams. Think about times when you’ve integrated AI solutions into business processes and how that impacted the overall project.
✨Demonstrate Continuous Learning
Highlight your passion for staying updated with emerging trends in AI and ML. Share any recent research or projects you've undertaken that showcase your commitment to innovation and improvement in the field.
✨Align with Company Values
Familiarise yourself with Lloyd’s core values: bravery, collaboration, and integrity. Be prepared to discuss how your personal values align with theirs and provide examples of how you've embodied these principles in your work.