01
TRCI-26-06098
AI/ML Evaluation & Experimentation Engineer (LLM/ML)
Contract role in Manchester for a senior-level AI/ML practitioner focused on problem framing, experiment design, and rigorous evaluation of both classical ML models and LLM systems. The work emphasizes defining and tracking AI/ML metrics, running controlled experiments, understanding prompt engineering and RAG fundamentals, and producing clear model documentation such as model cards to support responsible deployment and stakeholder communication.
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 a senior-level AI/ML practitioner focused on problem framing, experiment design, and rigorous evaluation of both classical ML models and LLM systems. The work emphasizes defining and tracking AI/ML metrics, running controlled experiments, understanding prompt engineering and RAG fundamentals, and producing clear model documentation such as model cards to support responsible deployment and stakeholder communication.
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.
01
AI metrics
Required
02
ML metrics
Required
03
model evaluation
Required
04
LLM evaluation
Required
05
prompt engineering
Required
06
RAG
Required
07
retrieval augmented generation
Required
08
experiment design
Required
09
A/B testing
Required
10
offline evaluation
Required
11
online evaluation
Required
12
model cards
Required
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
Problem framing for ML/LLM use cases
AI/ML metrics and evaluation methodology
Classical machine learning evaluation (e.g., classification/regression metrics)
LLM evaluation (quality, safety, reliability)
Prompting basics (prompt engineering fundamentals)
RAG basics (retrieval + generation concepts)
Experiment design (A/B testing, offline/online evaluation, statistical thinking)
Model cards / model documentation
Preferred
Nice to Have
LLM safety evaluation (toxicity, bias, hallucination)
Human evaluation / rubric design for LLM outputs
Observability/monitoring for LLM applications
Reproducible experimentation practices
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 AI/ML Evaluation & Experimentation Engineer (LLM/ML)
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