TRCI-26-06095
ML/LLM Platform Engineer (Python, PyTorch, GCP) - Contract
Contract role in Manchester for an ML/LLM platform engineer focused on building, packaging, and serving transformer-based models and agent/RAG systems on GCP. The role requires strong Python/PyTorch skills, understanding of transformer and agent architectures (e.g., ReAct), and hands-on MLOps for containerized deployments using KServe/Vertex endpoints. You will work with model/feature registries, CI/CD, monitoring and drift detection, and production rollout strategies such as autoscaling, GPU scheduling, canary/shadow deployments, and A/B testing.
Position summary
- Location
- United Kingdom
- Workplace
- Hybrid
- Employment
- Contract
- Experience
- Minimum 6 years and Maximum 12 years
Role overview
Why This Role Matters.
Contract role in Manchester for an ML/LLM platform engineer focused on building, packaging, and serving transformer-based models and agent/RAG systems on GCP. The role requires strong Python/PyTorch skills, understanding of transformer and agent architectures (e.g., ReAct), and hands-on MLOps for containerized deployments using KServe/Vertex endpoints. You will work with model/feature registries, CI/CD, monitoring and drift detection, and production rollout strategies such as autoscaling, GPU scheduling, canary/shadow deployments, and A/B testing.
Your Impact
Deliver Enterprise Value
Help organisations solve complex business problems through modern technology, consulting expertise and measurable outcomes.
Collaboration
Work Across Teams
Collaborate with consultants, architects, engineers and client stakeholders throughout the project lifecycle.
Growth
Learn Continuously
Gain exposure to enterprise technologies, certifications, mentoring and real-world project experience.
Career Path
Grow With Ubique
Build a long-term consulting career with opportunities to take on greater responsibility and leadership over time.
Responsibilities
What You'll Be Doing.
Every role at Ubique contributes directly to solving meaningful business challenges for our clients.
Technology stack
Tools & Technologies.
The platforms and technologies you'll use to build modern, enterprise-grade solutions.
PyTorch
Transformers
LLM
ReAct
Agents
RAG
GCP
Google Cloud
Vertex AI
Vertex AI Endpoints
KServe
Docker
Containers
Cloud databases
Feature store
Feature registry
Model registry
CI/CD
Model monitoring
Requirements
Skills & Experience.
We value curiosity, collaboration and continuous learning. If you don't meet every requirement but believe you can make an impact, we'd still love to hear from you.
Essential
Required Qualifications
Python
PyTorch
Understanding of transformer architecture
Agent architectures (e.g., ReAct)
Retrieval-Augmented Generation (RAG)
Google Cloud Platform (GCP)
Docker / containerization
Cloud databases
Packaging and serving models using containers
Model serving on KServe and/or Vertex AI endpoints
Feature registry and model registry
CI/CD for ML systems
Model monitoring
Drift detection
Cost-efficient autoscaling
GPU scheduling
Canary deployments
Shadow deployments
A/B testing
Preferred
Nice to Have
There are no additional preferred qualifications for this position. If you meet the essential requirements, we encourage you to apply.
What you'll gain
More Than Just A Job.
We're committed to helping every team member grow professionally, personally and technically while working on meaningful projects.
Global Exposure
Collaborate with international clients and multicultural teams on enterprise programmes.
Continuous Learning
Expand your expertise through mentoring, certifications and hands-on project experience.
Career Growth
Take ownership, develop leadership skills and grow your consulting career over time.
Flexible Working
Hybrid and remote collaboration designed around trust and delivering exceptional outcomes.
People First
Join a supportive culture where collaboration, respect and long-term relationships come first.
Enterprise Projects
Work on meaningful technology initiatives for leading organisations across industries.
Apply
Apply for ML/LLM Platform Engineer (Python, PyTorch, GCP) - Contract
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