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/ Fractional Teams /

Hire Computer Vision Engineers

Hire computer vision engineers from Neural AI. YOLO, SAM, and CNN specialists for object detection, image recognition, and visual AI development in Malta.

Book a free consultation → See how it works
/ the solution /

Hire Computer Vision Engineers built around your business.

Every solution we deliver is built on three pillars: your data, your context, and continuous improvement. Each capability is traceable and measurable.

  • Detection & Segmentation Specialists

    Engineers experienced with YOLO, SAM, Detectron2, Mask R-CNN, and custom architectures for…

  • Model Training & Fine-Tuning Expertise

    Expert training pipeline development including sophisticated data augmentation strategies,…

  • Edge Deployment & Optimisation

    Model optimisation for edge deployment using TensorRT, ONNX Runtime, quantisation, pruning…

  • Video Analysis & Real-Time Tracking

    Specialists in multi-object tracking, action recognition, video understanding, and real-ti…

/ how it works /

Live in weeks, not months.

We analyse your computer vision requirements including detection targets, accuracy thresholds, latency constraints, and deployment environment. This scoping ensures we match engineers with the right specialisation.

From our Malta-based CV engineering bench, we identify engineers with relevant domain experience, architecture expertise, and deployment track records. You review portfolios and conduct technical interviews.

Engineers evaluate your existing datasets, annotation quality, and development infrastructure. They establish training pipelines, experiment tracking, and evaluation frameworks before model development begins.

Engineers develop and refine vision models iteratively, with regular accuracy benchmarks, demo sessions, and stakeholder reviews. Each iteration improves detection performance and addresses identified failure modes.

Models are optimised for your target deployment environment, packaged with inference pipelines, and integrated with your application stack. Performance monitoring and alerting ensure sustained accuracy post-deployment.

Comprehensive documentation covering model architecture, training procedures, deployment configuration, and retraining workflows. Optional ongoing support for model updates and performance monitoring.

/ what you get /

Everything you need. Nothing you don't.

Detection &
Segmentation Specialists
Model Training &
Fine-Tuning Expertise
Edge Deployment
& Optimisation
Video Analysis &
Real-Time Tracking
/ built for your situation /

Sounds familiar?

Startup CTO
"We can't afford a full-time AI team but we have real AI projects that need experienced engineers — how does fractional AI staffing actually work in practice?"

We assign a dedicated Neural AI engineer to your project on a day-rate or monthly retainer, embedded in your team, working in your tools, and delivering production-ready code — no agency overhead.

How Neural AI helps

We assign a dedicated Neural AI engineer to your project on a day-rate or monthly retainer, embedded in your team, working in your tools, and delivering production-ready code — no agency overhead.

/ proof /

Real deployments. Real results.

Computer Vision

Building Site Deterioration Detection

We developed a custom computer vision model for AP Valletta that detects deterioration patterns including cracks, erosion, and staining from standard site photographs. The AI automatically maps detected damage onto AutoCAD drawings, reducing manual processing time by over 80%.

92% detection accuracy

Read case study →
AI & Computer Vision

Smart Video Classification System

AI-driven solution organising 13,000+ educational videos for eSkola by automating transcription, classification by subject and academic year, and enabling keyword search.

80% processing time reduction

Read case study → AI Solution

2D Before/After Comparison Tool

Automated visual analysis

Read case study →
/ questions /

Hire Computer Vision Engineers FAQ

What computer vision frameworks do your engineers specialise in?
Our engineers are proficient in PyTorch, TensorFlow, OpenCV, Detectron2, Ultralytics YOLO, and Hugging Face Vision Transformers. They also have deep expertise in deployment frameworks including TensorRT, ONNX Runtime, and CoreML for optimising models across different target platforms and hardware.
Can your CV engineers work with custom datasets and annotation?
Yes, our engineers manage the complete data pipeline from annotation strategy design through quality assurance. They work with labelling tools like CVAT, Label Studio, and Roboflow, and can establish annotation workflows with your team or manage outsourced annotation to ensure training data meets quality standards.
What hardware platforms can your engineers deploy vision models to?
Our engineers deploy to cloud GPU instances, NVIDIA Jetson edge devices, Intel Neural Compute Sticks, Raspberry Pi, mobile devices via CoreML and TFLite, and custom embedded systems. They optimise models for each target platform using appropriate quantisation, pruning, and architectural modifications.
How do you handle model accuracy requirements for critical applications?
For safety-critical and high-stakes applications, our engineers implement rigorous evaluation protocols including cross-validation, stratified testing across edge cases, confidence calibration, and human-in-the-loop verification. They design systems with appropriate fallback mechanisms and uncertainty quantification for Malta businesses in regulated industries.
What engagement models work best for computer vision projects?
Most CV projects benefit from an initial three to six month intensive engagement covering model development and deployment, followed by a reduced fractional arrangement for ongoing model maintenance and improvement. We also offer project-based engagements for well-defined detection or classification tasks with clear deliverables.
Can your engineers integrate vision systems with our existing software?
Absolutely. Our engineers build REST APIs, gRPC services, and streaming inference endpoints that integrate with your existing application architecture. They have experience integrating vision systems with ERP platforms, warehouse management systems, quality control software, and custom web and mobile applications.
How do you ensure IP protection for our computer vision models?
All engineers sign comprehensive IP assignment and NDA agreements. Models, training data, and code developed during the engagement belong to your organisation. We implement secure development practices including encrypted model storage and access-controlled training infrastructure for Malta businesses.
What is the cost of hiring a computer vision engineer through Neural AI?
Pricing depends on seniority level and engagement model. Fractional arrangements provide senior CV expertise at competitive day rates, while full-time embedded engineers are priced monthly. All pricing is transparent, and we offer flexible scaling with thirty-day notice periods to align with project milestones and budgets.
/ get started /

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