At a Glance
- Tasks: Shape the future of AI engineering and drive adoption across teams.
- Company: Join a global tech leader revolutionising enterprise AI in London.
- Benefits: Competitive daily rate, flexible work schedule, and long-term project opportunities.
- Other info: Collaborative environment with potential for career advancement.
- Why this job: Make a real impact in AI while working with cutting-edge technologies.
- Qualifications: Expertise in Python, AWS, and MLOps required.
The predicted salary is between 80000 - 100000 £ per year.
Staff ML Engineer | Agentic AI | ML Engineering | London (3 days per week on-site) | Contract | Inside IR35
We're supporting a global technology-driven organisation that's scaling enterprise AI across its UK engineering function.
Rather than building AI capability from scratch, the organisation has already invested heavily in enterprise AI platforms and Agentic AI frameworks.
The challenge now is driving consistent adoption, establishing engineering standards and enabling multiple engineering teams to build production-ready AI solutions using common patterns and best practice.
This is a Staff Engineer position where you'll shape the technical direction of AI Engineering across the organisation.
Responsibilities
- Defining engineering standards for enterprise AI
- Driving adoption of Agentic AI across multiple engineering teams
- Designing production-grade RAG architectures
- Establishing Lang Graph and Lang Chain implementation patterns
- Designing scalable vector database retrieval strategies
- Leading best practice across MLOps, CI/CD and model deployment
- Improving AI testing, evaluation and observability
- Implementing guardrails and hallucination mitigation
- Influencing senior engineering stakeholders without direct line management
Requirements
- Python
- AWS
- Lang Chain
- Lang Graph
- Retrieval Augmented Generation (RAG)
- Vector databases
- MLOps
- Production Machine Learning platforms
- AI governance and engineering best practice
- Py Torch, Tensor Flow or Scikit-learn
- Contract
- £750-900 per day (inclusive)
- Initial 6 months with long-term programme roadmap
- Inside IR35
- London (3 days per week)
- #J-18808-Ljbffr
Staff ML Engineer | Contract | Lon ... employer: Wedo Technology Solutions Ltd.
Wedo Technology Solutions Ltd. is an excellent employer that prioritises employee growth and development within a supportive work culture. Located in Reading, UK, the company offers a competitive salary, car allowance, and commission, alongside a hybrid working environment that fosters strong customer relationships and collaboration. As a Microsoft Partner, Wedo values long-term success and provides unique opportunities for employees to thrive in their careers.
Contact Details:
Wedo Technology Solutions Ltd. Recruitment Team
