> Markdown version of [/jobs/ext/2786019-ai-engineer-mostly-remote](https://www.wearedevelopers.com/jobs/ext/2786019-ai-engineer-mostly-remote). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# AI Engineer (Mostly Remote)

- **Company:** VanRath
- **Location:** Belfast, UK (Remote available)
- **Experience:** Experienced
- **Salary:** £40,000.0 - £50,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Big Data, Data Architecture, Data Integrity, Extract Transform Load (ETL), Data Transformation, Data Warehousing, Python (Programming Language), Machine Learning, Scrum Methodology, Systems Integration, Data Storage Technologies, Data Ingestion, Apache Spark, Data Lakes, Pyspark, Information Technology, AWS Glue, Data Management, Data Pipelines, Databricks
- **Published:** September 8, 2026
- **Apply:** https://www.vanrath.com/job/ai-engineer-mostly-remote-bbbh15847-1788794688/apply

## About the Role

You will be an experienced AI Engineer, Data Engineer or similar technical professional with a strong understanding of data platforms and modern analytics technologies.

You will have:

 * At least 2 years' experience in a similar AI Engineer, Data Engineer or related role
 * Experience working with Python, PySpark and/or Databricks notebooks
 * Strong knowledge of Delta Lake, data warehousing and big data concepts
 * An understanding of data pipelines, ETL processes and scalable data architecture
 * Excellent analytical and problem-solving skills
 * Strong communication skills with both technical and non-technical stakeholders
 * Experience managing and prioritising multiple tasks
 * A collaborative approach with strong team-working skills
 * Excellent troubleshooting and technical problem-solving abilities
 * The ability to work independently and effectively within a remote environment

It would be advantageous if you also have experience with AI, machine learning, advanced analytics, AWS Glue, APIs and integrations, retail environments or Scrum methodologies. A third-level qualification in Computer Science, Engineering, Data, AI or a related discipline would also be desirable.

## Description

* Designing and implementing efficient ETL processes using Databricks and AWS Glue
 * Developing scalable data pipelines to support AI and analytics use cases
 * Automating data ingestion from cloud, on-premise, API and streaming sources
 * Developing scalable data architectures aligned with business requirements
 * Building and maintaining data models for BI, analytics and AI applications
 * Working with Delta Lake to provide scalable and reliable data storage
 * Maintaining Databricks notebooks, jobs and workflows
 * Supporting the development and implementation of AI and machine learning solutions
 * Preparing and transforming data for advanced analytics and AI initiatives
 * Ensuring data integrity, security and compliance across AI and analytics environments
 * Optimising Spark jobs and Databricks workflows for performance
 * Monitoring performance and proactively resolving technical bottlenecks
 * Supporting the scalability of data platforms as AI and data demand increases
 * Working closely with technical and business stakeholders to identify opportunities for AI-driven improvements
 * Sharing knowledge and contributing to the continued development of the wider Data, Analytics and AI team


## Related Videos

- [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data)
- [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology)
- [Your next 10x engineer isn't in your city. Refactor accordingly.](https://www.wearedevelopers.com/videos/100103-your-next-10x-engineer-isn-t-in-your-city-refactor-accordingly)
- [How we built an AI-powered code reviewer in 80 hours](https://www.wearedevelopers.com/videos/1511-how-we-built-an-ai-powered-code-reviewer-in-80-hours)
- [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail)
- [Tips, Techniques, and Common Pitfalls Debugging Kafka](https://www.wearedevelopers.com/videos/838-tips-techniques-and-common-pitfalls-debugging-kafka)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)
- [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs)
- [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)
- [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)
- [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries)