83zero
Artificial Intelligence Engineer
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
AI Engineer – Data & Reporting
Location: London (Hybrid – 2–3 days per week in the office)
Salary: £70,000–£80,000 + Bonus + Excellent Benefits
We're working with a leading global technology consultancy that is investing heavily in Artificial Intelligence, Machine Learning and Advanced Analytics. They are looking for an AI Engineer to design, develop and deploy cutting-edge AI solutions that help transform enterprise reporting, analytics and business decision-making.
This is an exciting opportunity to work on enterprise-scale AI projects, leveraging the latest Generative AI technologies including LLMs, Agentic AI and Retrieval-Augmented Generation (RAG), while collaborating with data scientists, engineers and senior business stakeholders.
The Role
As an AI Engineer, you'll take ownership of designing and delivering AI-powered solutions from concept through to production. You'll work across machine learning, data engineering and software development to create scalable AI applications that improve reporting, forecasting and business intelligence.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
You'll be involved in the full AI lifecycle including data exploration, model development, deployment, monitoring and continuous improvement.
What You'll Be Doing
- Designing and developing enterprise AI and Machine Learning solutions
- Building Agentic AI frameworks and Retrieval-Augmented Generation (RAG) applications
- Developing intelligent reporting, recommendation and forecasting solutions
- Working with Large Language Models (LLMs) and foundation models
- Deploying production-ready machine learning models into cloud environments
- Building APIs and microservices to integrate AI capabilities into enterprise platforms
- Collaborating closely with business stakeholders to translate requirements into scalable AI solutions
- Driving best practice across AI governance, model monitoring and MLOps
- Evaluating emerging AI technologies and identifying opportunities for innovation
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Skills & Experience
We're looking for candidates with experience across several of the following:
- Commercial experience developing AI or Machine Learning solutions
- Strong Python development skills
- Experience with Machine Learning frameworks such as TensorFlow, PyTorch or Scikit-learn
- Experience with Generative AI technologies including LLMs, LangChain or LlamaIndex
- Hands-on experience building RAG solutions and working with vector databases
- Experience with MLOps, CI/CD and containerisation
- Strong SQL skills and experience working with large datasets
- Cloud experience across Azure, AWS or GCP
- Excellent communication skills with the ability to engage both technical and non-technical stakeholders
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location