At a Glance
- Tasks: Build next-gen AI platforms and develop innovative ML solutions.
- Company: Join a leading tech firm at the forefront of AI innovation.
- Benefits: Earn Β£600-Β£700/day, enjoy remote work, and flexible contracts.
- Other info: Immediate starts available; great for career growth in tech.
- Why this job: Make a real impact in AI and machine learning projects.
- Qualifications: Experience with Python, Databricks, and MLOps practices required.
The predicted salary is between 80000 - 100000 Β£ per year.
We're working with a number of organisations building next-generation AI and machine learning platforms and are looking to speak with experienced AI Engineers, ML Engineers and MLOps Engineers.
You'll be working on projects including:
- Building AI and agentic platforms
- Productionising LLM and GenAI solutions
- Developing ML platforms and feature stores
- Building RAG and vector search solutions
- Designing scalable data and AI pipelines
- Implementing MLOps and LLMOps best practices
We're interested in people with experience in:
- Python
- Databricks (PySpark, Delta Lake, Unity Catalog, MLflow, Mosaic AI)
- LLMs, GenAI and AI Agents
- MLOps and production ML systems
- CI/CD and DevOps
- AWS and/or Azure
- Kafka and streaming technologies
- Terraform and infrastructure as code
- Feature stores and model deployment
Nice to have:
- Databricks certifications
- Consulting experience
- Financial Services or other regulated industries
- Experience delivering AI solutions into production
- Previous Databricks public sector/DPP experience
Details:
- Remote opportunities
- Β£600-Β£700/day
- Outside IR35
- Immediate starts available
If you're an experienced AI, ML or MLOps Engineer and would like to hear more, please apply or get in touch directly.
We think you need these skills to ace Senior AI Engineer / ML Platform Engineer in Birmingham
Python
Databricks (PySpark, Delta Lake, Unity Catalog, MLflow, Mosaic AI)
LLMs
GenAI
AI Agents
MLOps
Production ML systems