AI Research Engineer, Homeprotect

Salary not provided

+ Annual discretionary bonus scheme

Docker

GCP

Python

Redis

Postgres

Azure

BigQuery

Git

JSON

REST API

Junior, Mid and Senior level

London

1+ day a week in office (New Malden, London)

Specialist home & property insurance

Be an early applicant

Specialist home & property insurance

101-200 employees

B2CPropertyMarketplaceInsuranceBig dataMachine Learning

Be an early applicant

Salary not provided

+ Annual discretionary bonus scheme

Docker

GCP

Python

Redis

Postgres

Azure

BigQuery

Git

JSON

REST API

Junior, Mid and Senior level

London

1+ day a week in office (New Malden, London)

101-200 employees

B2CPropertyMarketplaceInsuranceBig dataMachine Learning

Company mission

To provide protection to people underserved by the home insurance industry.

Job

Company

Role

Who you are

Proficient in Python, capable of building robust backend services and integrating REST/JSON APIs
Hands‑on with LLMs and embeddings (OpenAI, Gemini, Llama, Claude), prompt design, function calling, RAG patterns, and vector databases
GCP experience: Vertex AI, Model Garden, BigQuery, CloudRun Functions
Document and data handling: text normalisation, chunking strategies, metadata/ACL propagation; storage and caching with Postgres, Redis, and Azure Blobs
DevOps and quality: Git best practices, CI/CD (Azure DevOps), Docker, observability (logging/metrics/tracing), evaluation frameworks, A/B testing, and cost/latency monitoring

What the job involves

We focus on the outputs of work, not where it’s completed, with an expectation that colleagues spend around one day a week in the office (or a minimum of four days per month) to connect and collaborate
Develop AI-first products at Homeprotect to provide tangible business value. One example includes Alfred, Homeprotect’s internal AI agent, to boost staff productivity across internal staff use cases (email/comms drafting, letter templates, onboarding materials, summaries, training content, agendas/minutes, process maps, checklists, and brainstorming)
Develop AI agents to automate Homeprotect’s claims handling process throughout logging & validation, assessment, fulfilment and settlement. These will be deployed in the Google Cloud Platform using the agent development kit
Build and improve the agent evaluation framework to continuously test and monitor for desired AI behaviour and performance e.g. completeness of response, accuracy of information, satisfactory client outcome
Work with key business stakeholders, particularly in Claims Operations, to demonstrate AI functionality and business value-add

Salary benchmarks

Our take

Homeprotect is run by insurtech group Avantia, which has been around since 2002 and seemingly stayed abreast of the rapid digitisation of the insurance industry. The company leverages big data and machine learning, as well as underwriting from AXA Insurance, to provide home insurance quotes in seconds.

While there is no shortage of insurance marketplaces like this, Homeprotect’s value differentiator is its focus on sourcing affordable quotes for customers with non-standard needs such as at-risk, listed, vacant properties, or properties containing rare valuables.

Having secured major investment from ECI Partners over a series of funding rounds, Avantia has been investing heavily in Homeprotect’s tech and predictive capabilities, which has led to consistent annual revenue increases as the company strives to hold its own in a competitive market.

Steph

Company Specialist at Welcome to the Jungle

Insights

41% employee growth in 12 months

Glassdoor (4.1)

Trustpilot (4.5)

Company

Company HQ

New Malden, UK

Leadership

Mark Eastham

(CEO)

Joined as CEO in 2015 after an 11 year spell at Dixon's Carphone, where they rose to become UK General Manager.

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