AI Engineer - Data/MLOps

Up to £80,000 + Equity | Remote (1 day/month in Bath)

A fast-growing, venture-backed AI startup is seeking a Senior AI & ML Engineer to design and deliver cutting-edge AI and data systems that power its next-generation analytics and visualization products.

This is a hands-on, high-impact role where you’ll own end-to-end projects across machine learning, large language models (LLMs), and data engineering, helping shape the company’s technical direction and building scalable systems from the ground up.

An innovative technology business reimagining how brands and retailers collaborate, combining machine learning, big data, and immersive visualisation to drive smarter commercial decisions. The team is around 15 people and growing quickly, with AI at the heart of the product suite.

You’ll take technical ownership of AI and data engineering projects, working across:

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• End-to-end ML pipelines – design, build, and deploy production-grade MLOps systems.
  
• Big data architecture – manage and optimise large-scale data pipelines using tools like Airflow, DBT, and Spark.
  
• LLM integration – develop and operationalise advanced language models into real-world products.
  
• Backend development – build scalable, secure, and performant APIs and services to deliver ML capabilities at scale.
  
• Collaboration – work with data scientists and product teams to take prototypes through to production.
  

This role suits someone who enjoys full ownership, variety, and solving complex technical challenges in a lean, agile environment.

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• Strong experience in AI engineering or ML backend development, with a foundation in data engineering and MLOps.
  
• Expert-level proficiency in Python and ML frameworks (e.g. PyTorch, TensorFlow, Hugging Face).
  
• Practical experience with MLOps principles, including CI/CD for ML, monitoring, and deployment.
  
• Strong understanding of LLMs, NLP, and modern data infrastructure.
  
• Familiarity with cloud platforms (AWS, GCP, or Azure), containerisation, and scalable backend architecture.
  
• Excellent communication skills and a proactive approach suited to startup environments.
  

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• Experience with streaming data (Kafka, Flink) or data warehousing (Snowflake, Redshift, BigQuery).
  
• Contributions to open-source or applied AI research projects.
  
• Salary: Up to £80,000 + equity
  
• Location: Remote, with 1 day/month in Bath
  
• Start date: By end of 2025 (maximum 1-month notice)
  

• 
  
• Full ownership of end-to-end AI and data projects
  
• Real-world application of LLMs, ML, and big data in a high-growth setting
  
• Opportunity to influence architecture and product direction
  
• Equity and long-term career growth as the company scales
  

If you’re an AI Engineer or ML Backend Developer ready to lead full-lifecycle AI projects in a fast-growing environment, we’d love to hear from you.

Mid-Senior level

Full-time

Retail