Development & Testing Phase

This platform is under active development

You are viewing a development and testing version of Vettora — Verified Hiring Infrastructure for AI, Data, and MLOps Teams. Features may be incomplete, data may be synthetic, and behaviour may change without notice. Do not use this environment for real hiring decisions.

★★★★★Vettora Certified · Powered by Trillectra AI · Trusted by 180+ AI teams

Hire verified AI talent faster.

Replace CV-first screening with role-specific technical assessments, explainable scorecards, and shortlist recommendations your hiring team can trust.

Zero CV fabrication risk
UK GDPR compliant
Vettora Evidence Reports

0+

Verified candidates

Assessed, scored, and ready to shortlist

0+

Hiring teams using Vettora

Across AI, data, and MLOps disciplines

0%

Avg. screening time reduction

Compared to CV-first interview pipelines

0%

Interview-to-offer conversion

For employers using verified shortlists

Why Vettora

Interview quality starts before the interview.

Diverse team of AI professionals collaborating
Interview-ready candidates, every week
0%
of UK firms

say AI skills shortages are blocking growth.

Hiring teams waste weeks on CV screening, technical phone calls, and take-home challenges — before a single qualified candidate is identified.

3–5 wks
avg. time to first qualified shortlist
180+
UK hiring teams already on Vettora
92%
of shortlisted candidates pass first interview
60% reduction in average screening time
Core capabilities

Six outcomes your hiring
team will notice.

01

Verified technical assessments — not self-reported CVs

02

Explainable candidate scorecards with full evidence trail

03

Role-fit matching against your exact stack and seniority

04

Interview workflow automation with structured handoff notes

05

Team hiring analytics across shortlists and decisions

06

ATS and programme integrations — fits your existing workflow

How it works

Automate the first two stages of technical hiring.

Vettora replaces CV screening, early technical filtering, and take-home challenge administration with verified assessments and structured shortlist recommendations. Your team focuses on final interviews — not first-pass elimination.

01

Assess real skills

Candidates complete theory, practical, and case-based assessments tailored to their role track — no generic tests.

02

Generate verified scorecards

Each candidate gets a role-fit profile with a composite score, strengths, gaps, tool-stack alignment, and an AI-written evidence report.

03

Shortlist by fit

Employers filter by stack, seniority, role type, and assessment results. Browse a verified shortlist — not a ranked leaderboard.

04

Run final interviews faster

Hiring teams receive interview-ready candidates, structured handoff notes, and suggested final-stage questions. Your time goes to decisions, not elimination.

Assessments built for real AI roles

Six tracks. Each one built for the role.

Every assessment is customised to the specialism — different competencies, different tool stacks, different case studies. No more generic tests applied to every AI candidate.

Data Scientist

Statistical inference
Feature engineering
Model interpretability
Experiment design
scikit-learnpandasstatsmodelsSQL

ML Engineer

Model serving & APIs
Latency optimisation
Pipeline architecture
Monitoring telemetry
PyTorchFastAPITorchServeDockerKubernetes

MLOps Engineer

CI/CD for ML
Model registry & versioning
Drift detection
Infrastructure as code
MLflowKubeflowAirflowTerraformGrafana

GenAI / LLM Engineer

Prompt engineering
RAG design
LLM evaluation
Guardrails & safety
LangChainLlamaIndexOpenAI APIPineconeRAGAS

NLP / LLM Engineer

Text classification
Named-entity recognition
Fine-tuning
Tokenisation strategy
HuggingFace TransformersspaCyNLTKBERTopic

Computer Vision Engineer

Object detection
Image segmentation
Model deployment for vision
Data augmentation
OpenCVYOLOv8PyTorch VisionONNXRoboflow
Sample Candidate Scorecard

Exactly what your hiring team sees.

A realistic profile for a fictional candidate. Every verified candidate on Vettora arrives with this level of hiring evidence.

VEmployer View · GenAI / LLM Engineer · Posted 2 days ago
AO

Aisha Okonkwo

GenAI / LLM Engineer

Proficient Top 6%

94th

Percentile

87/100

Composite

HIGH

Confidence

Composite

87

raw score

Calibrated

91

role-weighted

Theory
84
Practical
92
Case Study
88

Tool-stack alignment

LangChainOpenAI APIPineconeRAGPython

Attached documents

Aisha_Okonkwo_CV.pdf

124 KB · Uploaded with assessment

GitHub Portfolio

github.com/aisha-okonkwo

Vettora Recommendation

Interview

Strong fit for senior-track LLM / RAG roles

Vettora Evidence Report

Aisha demonstrates strong end-to-end ownership of RAG pipelines and shows mature thinking around retrieval quality and chunk strategy. Her case study response on production LLM evaluation is among the top 5% of this cohort. Recommend for senior-track roles requiring both prompting depth and system-level thinking.

Strengths

RAG architecture
LLM evaluation
Prompt engineering
System design

Risks / gaps to probe

Limited exposure to fine-tuning workflows
No Terraform / infra-as-code
Interview Guide — Final Stage
1Ask how they designed the retrieval strategy in their RAG project — fixed-size vs semantic chunking trade-offs.
2Probe the fine-tuning knowledge gap: how would they approach LoRA in a compute-constrained environment?
3Ask how they would monitor and version-control a LangChain pipeline running in production at scale.
4Test evaluation rigour: what metrics did they use and how did they detect retrieval quality degradation?
Audit Trail — Why Recommended

Recommended for interview: 94th-percentile case study score, verified hands-on LangChain and Pinecone experience in the practical challenge, and consistent top-5% LLM evaluation reasoning across all assessment dimensions. Main risk is limited fine-tuning exposure — probe in final interview.

Employer actions

Fictional candidate shown for illustration. Real profiles are generated automatically after assessment completion.

Our partners

Building the UK AI hiring ecosystem together.

From world-class universities to globally recognised technology companies — Vettora is built on partnerships that mean something.

Vettora AI
Platform creator & AI engine
Ulster University
Academic partner
Innovate UK
£7.6M programme funding
Seagate Technology
Industry partner
Alchemy Technology
Industry partner
Reward Insight
Industry partner
Vettora AI
Platform creator & AI engine
Ulster University
Academic partner
Innovate UK
£7.6M programme funding
Seagate Technology
Industry partner
Alchemy Technology
Industry partner
Reward Insight
Industry partner
Ready to begin

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