AI Engineer I

🕒 October 16

🇬🇧 United Kingdom – Remote

💵 £46k - £57k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🤖 AI Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 0%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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G-P

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

🏥 Healthcare

⚖️ Legal

Consulting • Healthcare • Legal

G-P is a leading global company specializing in Employer of Record (EOR) solutions, providing businesses with the tools to hire, onboard, and manage teams in over 180 countries quickly and compliantly. The company offers a comprehensive suite of global employment products under its G-P Meridian Suite™, including services for hiring employees and contractors, managing global payroll, time management, expenses, HR support, and employee assistance. G-P is recognized for its compliance expertise, featuring the world's first AI-based HR compliance advisor, G-P Gia™, which delivers AI-driven advice and solutions for HR compliance challenges. With a strong network of partners and industry-leading EOR SaaS solutions, G-P supports HR, legal, and financial compliance globally. Their offerings are designed to simplify the employment lifecycle and accelerate global business expansion.

📋 Description

• Build and run data pipelines across Salesforce, HubSpot, Stripe, and Databricks • Maintain go-to-market analytics models and dashboards • Ship LLM-based agents and automations for Sales, Marketing, and Finance • Productionize integrations with tests and monitoring • Build data and AI tooling behind G-P Gia's go-to-market, including pipelines, integrations, analytics, and agent workflows

🎯 Requirements

• 2+ years of Python and SQL in production • Strong AI fluency • Experience with a cloud data platform; AWS preferred • LLM application development, including prompting, tool use, and evaluations • REST API integrations • Git-based engineering practice • CRM data experience with Salesforce or HubSpot preferred • Data platform experience with Databricks or Snowflake preferred

🏖️ Benefits

• Variable compensation • Annual bonus for non-sales roles, dependent on individual and company performance • Generous paid parental leave • Flexible time off • Spending accounts • Medical insurance • Dental insurance • Vision insurance • Sabbatical after 5 years • Reasonable accommodations during the interview process for individuals with disabilities

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