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AI Operations Engineer

  • AI Operations
  • Fully Remote
  • 1 month ago
  • UK

Job Information

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    Salary Pound 60,000–70,000 / Yearly
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    Shift Morning
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    No. of Openings 1 opening
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    Job Level : Mid-Level
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    Job Experience : 3-5 Years
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    Job Qualifications Bachelor’s Degree

Job Description

PredictiveOps Solutions is a remote-first performance marketing agency specializing in SEO, SEM, and data-driven growth strategies for mid-market and enterprise brands across the U.S. We leverage automation, predictive analytics, and machine-learning workflows to help companies increase visibility, improve conversions, and drive sustainable growth.

Our mission is to empower businesses with transparent, scalable, and data-rooted search-driven strategies. We value continuous improvement, problem-solving, and kindness paired with accountability.

Role: AI Operations Engineer

We’re looking for an AI Operations Engineer to build, maintain, and optimize the AI-driven systems that power our SEO, SEM, and analytics workflows. You’ll work with our marketing, data, and engineering teams to automate processes, develop predictive tools, and ensure smooth operation of our production AI pipelines.

What You’ll Do

  • Develop and maintain AI/ML workflows that support forecasting, anomaly detection, and performance analysis.
  • Build automation tools that enhance SEO/SEM reporting, tagging accuracy, and analytics delivery.
  • Support ETL pipelines powering GA4, Looker Studio, and custom dashboards.
  • Integrate LLM-powered tools into internal processes to streamline research, insights, and QA checks.
  • Monitor pipeline health, model accuracy, and automation reliability—proactively resolving issues.
  • Collaborate with data and marketing teams to turn business needs into automated solutions.
  • Maintain documentation for workflows, tools, and data operations.

Required Skills

Data & Analytics

  • Machine Learning
  • Artificial Intelligence
  • Python (Data)
  • Data Analysis
  • NLP
  • ETL Pipelines
  • Data Visualization

Engineering / DevOps Skills

  • Python
  • SQL
  • REST APIs
  • Git / GitHub
  • Docker
  • Linux
  • AWS or Google Cloud

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