Senior AI Engineer

Albert Bow Limited; Guildford; On-site; GBP 90,000 - 120,000; Full time

Job summary

Albert Bow Limited is seeking a Senior AI Engineer to drive end-to-end AI projects in a professional services context. You will design, deploy and monitor AI solutions, leveraging LLMs, RAG, vector databases and scalable data pipelines.

You will collaborate with product, engineering and business stakeholders to build production-grade AI systems that deliver real value. The role requires strong Python, data engineering and Databricks experience, plus a track record of shipping AI solutions to

Qualifications

• Strong commercial experience as a Senior AI Engineer, ML Engineer or AI-focused Data Engineer.
• Expert-level Python.
• Strong data engineering + SQL skills.
• Production experience with Databricks.
• Hands-on experience building LLM-powered applications.
• Strong understanding of RAG, vector databases, embeddings and semantic search.
• Experience taking AI systems into production and improving them post-deployment.
• Experience with Azure, ideally Azure OpenAI and related AI services.
• Strong software engineering fundamentals - testing, Git, CI/CD and scalable system design.
• Experience leading projects and working directly with senior stakeholders.

Responsibilities

• Work across the full AI lifecycle from experimentation and data engineering through to deployment, monitoring and optimisation.
• Build and deploy production-grade AI applications using LLMs, RAG and modern AI architectures.
• Develop agentic workflows, vector search, embeddings and semantic search.
• Build scalable data pipelines using Databricks, Python, PySpark and SQL.
• Develop evaluation and benchmarking frameworks to measure AI performance.
• Take AI solutions from POC to production.
• Implement monitoring, observability and quality controls.
• Establish best practices across MLOps, CI/CD, model versioning and reproducibility.
• Work directly with product, engineering and business stakeholders.
• Influence architecture and the wider AI roadmap.
• Mentor engineers and help raise technical standards across the team.

Skills

Python

SQL

Databricks

LLM-powered apps

Tools

Azure OpenAI

Job description

What you’ll be doing

You’ll work across the full AI lifecycle from experimentation and data engineering through to deployment, monitoring and optimisation.

• Build and deploy production-grade AI applications using LLMs, RAG and modern AI architectures
• Develop agentic workflows, vector search, embeddings and semantic search
• Build scalable data pipelines using Databricks, Python, PySpark and SQL
• Develop evaluation and benchmarking frameworks to measure AI performance
• Take AI solutions from POC to production
• Implement monitoring, observability and quality controls
• Establish best practices across MLOps, CI/CD, model versioning and reproducibility
• Work directly with product, engineering and business stakeholders
• Influence architecture and the wider AI roadmap
• Mentor engineers and help raise technical standards across the team

What they’re looking for

Essential:

• Strong commercial experience as a Senior AI Engineer, ML Engineer or AI-focused Data Engineer
• Expert-level Python
• Strong data engineering + SQL skills
• Production experience with Databricks
• Hands-on experience building LLM-powered applications
• Strong understanding of RAG, vector databases, embeddings and semantic search
• Experience taking AI systems into production and improving them post-deployment
• Experience with Azure, ideally Azure OpenAI and related AI services
• Strong software engineering fundamentals - testing, Git, CI/CD and scalable system design
• Experience leading projects and working directly with senior stakeholders

Why this role?

This isn't a role where you'll spend 12 months building another AI demo that nobody uses.

The foundations are already there data, infrastructure, investment and executive backing.

You'll have the opportunity to take ownership of genuinely important AI products, influence architecture and help shape how AI is embedded across an entire professional services business.