Generative AI Engineer
Not disclosed
Salary
Not disclosed by employer
£54,700
Going rate
Skilled Worker going rate
This role likely qualifies for a Skilled Worker visa
SOC 2134 (90% match) is an eligible occupation, with a going rate of £54,700, and Wipro is a licensed sponsor. That is our reading of the rules. Whether they issue a Certificate of Sponsorship is still their call.
About the role
About the Company
We are looking for a skilled AI Engineer with deep expertise in Google Cloud Platform (GCP) to design, build, and deploy production-grade machine learning and generative AI solutions. You will be responsible for taking AI models from experimental prototypes to scalable, high-availability enterprise services using GCP’s native AI/ML ecosystem.
About the Role
We are looking for a skilled AI Engineer with deep expertise in Google Cloud Platform (GCP) to design, build, and deploy production-grade machine learning and generative AI solutions.
Responsibilities
- Model Deployment & Pipeline Architecture: Design, build, and maintain end-to-end ML and LLM pipelines using Vertex AI, Kubeflow, and Dataflow.
- Generative AI & LLM Integration: Fine-tune, evaluate, and integrate foundation models (e.g., Gemini) via Vertex AI Model Garden into application workflows using RAG architecture.
- MLOps & Infrastructure: Automate continuous integration, deployment, and monitoring (CI/CD/CT) for machine learning models using GCP infrastructure and Terraform.
- Data Engineering Collaboration: Work with data teams to optimize feature stores, data pipelines (BigQuery, Pub/Sub), and training datasets for scalable AI workflows.
- Performance & Cost Optimization: Monitor model drift, latency, and throughput in production while optimizing GCP resource utilization and infrastructure costs.
Qualifications
- Technical Skills
- GCP AI Ecosystem: Hands-on experience with Vertex AI (Pipelines, Feature Store, Model Registry, Endpoint deployment), BigQuery ML, and Cloud Run/GKE.
- Frameworks & Languages: Proficiency in Python and standard ML frameworks (PyTorch, TensorFlow, JAX).
Experience & Background
- 3+ years of professional experience in software engineering, machine learning engineering, or data science.
- Proven track record of deploying and maintaining ML/AI models in a cloud-native production environment (preferably GCP).
- Bachelor’s or Master’s degree in Computer Science, Data Science, Electrical Engineering, or a related quantitative field (or equivalent practical experience).
Preferred Skills
- Google Cloud Certified - Professional Machine Learning Engineer or Professional Cloud Architect.
- Experience with serverless AI applications and event-driven architectures on GCP.
This description is the source posting as it read when we added it. We are not affiliated with Wipro, so check their own site for the current details.
Where this offer sits in the market
SOC 2134 · UK · ONS ASHE 2025 · ~343k in sampleSimilar sponsored roles
See all UK visa jobsNo close matches live right now.
Browse more sponsored jobs at WiproAbout sponsorship for this role
Does this job guarantee visa sponsorship?
Not necessarily. Wipro holds a sponsor licence, but sponsorship for a specific hire is always the employer's decision. Be upfront in your application that you'll require it.
What salary is needed for this role to be eligible?
The offer must clear both the general threshold and the SOC 2134 going rate of £54,700. New-entrant and shortage discounts can lower it.