Lloyd's Logo

Lloyd's

AI Engineer

Posted 11 Days Ago
Be an Early Applicant
In-Office
London, England
Mid level
In-Office
London, England
Mid level
As an AI Engineer at Lloyd's, you will integrate AI solutions, operationalise ML models, maintain data governance, and drive innovation in AI and data analytics.
The summary above was generated by AI

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

Top Skills

Azure
Ci/Cd
Databricks Sql
Delta Lake
Python
SQL
HQ

Lloyd's London, England Office

One Lime Street, London, United Kingdom, EC3M 7HA

Similar Jobs

18 Days Ago
In-Office
London, Greater London, England, GBR
Mid level
Mid level
AdTech • Digital Media • eCommerce • Marketing Tech • Sales
As an AI Engineer, you'll design and build intelligent systems that autonomously optimize operations, work with data science teams, and establish AI engineering foundations, including observability and cost optimization.
Top Skills: AWSAzureBuildkiteCircleCIDatadogDockerFastapiGCPGithub ActionsJenkinsNewrelicPythonSumologicTerraform
An Hour Ago
Hybrid
Brighton, Brighton and Hove, England, GBR
Senior level
Senior level
Gaming • Information Technology • Mobile • Software • Esports
Lead the development of AI systems for the Unreal Engine. Mentor engineers, collaborate with designers, and manage project timelines for high-quality AAA games.
Top Skills: C++Unreal Engine
Yesterday
Hybrid
London, England, GBR
Mid level
Mid level
Energy
Design, build and scale GenAI platform services (LLMs, RAG, agents) including knowledge retrieval, embeddings, prompt assembly, observability, and evaluation frameworks. Work cross-functionally to integrate AI into products and establish best practices for safe, reliable, and cost-effective AI deployments.
Top Skills: Python,Llms,Rag,Agents,Embedding Generation,Prompt Engineering,Git,Ci/Cd,Testing,Logging,Tracing,Monitoring,Finetuning,Reinforcement Learning,Tool Calling,Agentic Workflows,Databases,Data Pipelines

What you need to know about the London Tech Scene

London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account