At a Glance
- Tasks: Design and deploy cutting-edge AI features in live systems.
- Company: Dynamic tech company at the forefront of financial services.
- Benefits: Competitive pay, hybrid work model, and opportunities for growth.
- Other info: Collaborative culture with potential for contract extension.
- Why this job: Join a team innovating with AI and make a real impact.
- Qualifications: Experience in AI/ML, Python, and cloud environments required.
The predicted salary is between 70000 - 90000 £ per year.
Industry: Technology / Financial Services
Contract Duration: 6 months, likely extension
Location: Cambridge (hybrid, 2-3 days onsite)
The Role:
- Design, build and deploy production-grade AI and generative AI features into live systems
- Work closely with product and engineering teams to translate business problems into deployable AI solutions
- Own model integration, evaluation and monitoring once features are live
- Collaborate with MLOps and platform teams to keep deployments reliable at scale
- Stay close to the latest LLM tooling and bring practical recommendations back to the team
Skills Needed:
- Strong hands-on experience building and shipping AI/ML features into production, not just prototypes
- Solid Python and experience with modern LLM frameworks and APIs
- Comfortable working in cloud environments (Azure, AWS or GCP)
- Experience with MLOps practices, model monitoring and evaluation
- Strong communication skills, able to work directly with non-technical stakeholders
We think you need these skills to ace Artificial Intelligence Engineer in Cambridge
AI/ML Feature Development
Python
LLM Frameworks
APIs
Cloud Environments (Azure, AWS, GCP)
MLOps Practices
Model Monitoring
