AI Engineer at Lloyd's of London

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

05 Jun, 26

Salary

0.0

Posted On

07 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Databricks SQL, Delta Lake, Pipeline Orchestration, Unity Catalog, Azure Data Governance, MLOps, CI/CD, Automated Testing, LLM Orchestration, Secure Prompting, RAG, Vector Search, Solution Design, NFRs, Agile Delivery, Telemetry

Industry

Insurance

Description

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. Lloyd’s are recruiting for an AI Engineer. 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, & hybrid working environment and 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 solution. 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. Skills Knowledge and Experience 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 Qualifications (Desirable) 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 aim is 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. You can read more about diversity and inclusion on our website. 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'll 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. Should you require any additional support with your application, or any adjustments, please click the following link; https://cleartalents.com/apply/lloyds-msa1645695881 Please note, clicking on this link does not register your application for the vacancy Lloyd’s aim is to build a diverse, inclusive environment that reflects the global markets we work in and in which everyone is treated with dignity and respect. We will invest in attracting the best talent to Lloyd’s, making sure recruitment is targeted at bringing in the skills we need to evolve. We will develop a talent pipeline that provides us with the key capabilities we will need for the future. To also create a culture in which every employee fulfils their full potential, ensuring that leaders role-model the behaviours we expect in ourselves and others.

Responsibilities

The AI Engineer will be responsible for delivering and accelerating AI-driven solutions within the Databricks Lakehouse environment, focusing on actionable insights and automation across the Corporation and Market. Key duties include maintaining best practices for AI engineering, integrating generative AI capabilities like Databricks Genie, and operationalizing ML models within the Lakehouse.