Hire AI Developersin the UKLLM, RAG & Machine Learning Engineers
In-house AI engineers building LLM integrations, RAG pipelines, computer vision, and predictive models — scoped around a concrete accuracy target before a single line of code is written.
Why UK Businesses Hire AI Developers from Mtoag
Accuracy Target Agreed Upfront
Every AI engagement is scoped around a concrete decision point — prediction, classification, or automation — with a target agreed before build begins.
0 Subcontractors, Ever
All AI engineers are direct Mtoag employees — never sourced from a third-party marketplace.
Full IP Ownership
Every model, training script, and pipeline belongs to you from day one, written into every contract.
Interview Before You Hire
A live technical interview covering architecture decisions and evaluation methodology is included, always.
Replacement Guarantee
Free replacement within the first 2 weeks if the fit isn't right.
Production Engineering, Not Just Research
Our AI developers ship APIs and pipelines that serve predictions at scale — not notebooks that stay on a laptop.
AI Development Capabilities We Cover
Every AI engineer is a direct Mtoag employee — vetted in-house, never sourced from a third-party marketplace. Rate: £55–£65/hr across all capability areas.
LLM & RAG Engineering
Retrieval-augmented generation pipelines and custom AI agents.
- RAG pipelines with vector search
- Custom AI agents & tool use
- Fine-tuning open & closed models
- Prompt evaluation frameworks
Computer Vision
Image classification, object detection, and visual quality inspection.
- Image classification & detection
- Visual quality inspection models
- Video & real-time inference
- Edge deployment optimisation
Predictive Analytics & ML
Forecasting models, recommendation engines, and classification.
- Time-series forecasting
- Recommendation engines
- Classification & scoring models
- Feature engineering pipelines
Natural Language Processing
Text classification, entity extraction, and sentiment analysis.
- Text classification & extraction
- Sentiment & intent analysis
- Document parsing pipelines
- Multilingual model support
MLOps & Data Engineering
Model versioning, retraining pipelines, and drift monitoring.
- Model versioning & CI/CD
- Automated retraining triggers
- Data pipelines & ETL
- Drift & performance monitoring
AI Agents & Automation
Workflow automation and multi-step agents connected to your tools.
- Multi-step autonomous agents
- Workflow & task automation
- Tool-calling & API integration
- Human-in-the-loop safeguards
Flexible Hiring Models for AI Projects
AI projects carry more scope uncertainty than typical software work — choose the model that matches your certainty level.
One AI engineer fully allocated to your project, embedded with your team, under your direction. Best for: a defined product with a known model requirement.
Billed monthly · Minimum 3 monthsAn AI engineer plus supporting ML/data engineering capacity slots into your existing product team. Best for: scaling an in-flight AI initiative.
Billed hourly or monthly · Minimum 1 monthA fixed 2–4 week paid sprint to validate feasibility, test a model approach against real data, and produce a working prototype before committing further.
Billed as a fixed sprint · No long-term commitment| Criteria | Dedicated Engineer | Team Augmentation | Discovery Sprint |
|---|---|---|---|
| Best for | Defined product roadmap | Scaling an existing initiative | Unproven feasibility |
| Minimum term | 3 months | 1 month | 2–4 week sprint |
| Billing | Monthly fixed | Hourly/monthly | Fixed sprint fee |
| Output | Production system | Shipped features | Validated prototype |
| Scaling speed | 5–10 business days | 5 business days | Immediate |
How We Vet Our AI Engineers
Methodology, not marketing — the same 4-stage process behind every AI engineer we place.
Architecture reasoning for a real-world scenario, not a leetcode puzzle.
Senior AI engineer panel reviews past model decisions and evaluation methodology.
A scoped prototype against your real data or use case, evaluated against agreed criteria.
Only engineers who clear all three stages join the AI bench.
AI Developer Case Studies
Real models, in production, delivering measurable outcomes.
Hire AI Developers — Questions Answered
10 direct answers. No sales language.
Dedicated AI and ML developer rates in the UK typically range from £55–£65 per hour, higher than general full-stack rates due to specialist skill scarcity. Senior LLM and computer vision specialists sit at the top of that range. Mtoag provides an exact quote after a free scoping call, with rates fixed for the engagement.
An AI developer builds production systems — APIs, pipelines, and applications that serve model predictions to real users at scale. A data scientist focuses on research, experimentation, and model selection. Mtoag's AI developers handle both model integration and the production engineering around it.
Yes. Mtoag's AI developers build retrieval-augmented generation (RAG) chatbots, custom AI agents, and workflow automation using OpenAI, Anthropic Claude, and open-source models like Llama and Mistral, connected to your own data via vector databases.
No. Mtoag's AI developers can help you scope, collect, and clean the data needed for your use case as part of the engagement. If you already have data, we assess its quality and structure during the initial technical scoping call.
Most AI engagements start within 5–10 business days of contract signing for common stacks (RAG, LLM integration, predictive analytics). Highly specialised computer vision or custom model research roles may take 10–15 business days to match precisely.
Yes. Every AI hire includes a live technical interview covering model architecture decisions, evaluation methodology, and past project walkthroughs before you commit. You approve every developer before they start.
Accuracy targets are agreed before the build begins, not after. If a model underperforms against the agreed target, Mtoag's developer iterates on architecture, data, or fine-tuning at no additional cost until the target is met or a revised target is mutually agreed.
Yes, 100%. All models, training code, and infrastructure built by your dedicated AI developer belong to you from day one, written into every Mtoag hiring contract as standard, with no separate IP buyout fee.
Mtoag's AI developers work with Python, TensorFlow, PyTorch, and scikit-learn for model development, and OpenAI, Anthropic Claude, and open-source LLMs (Llama, Mistral) for language-model work, with Pinecone, Weaviate, or pgvector for retrieval.
Yes. Mtoag's AI developers integrate models into existing React, Next.js, Node.js, iOS, and Android applications via API, with clear service boundaries so AI features ship without destabilising your existing product.
Still have questions? Call our team: +44 (115) 888-0557
Let's Scope Your AI Project.
Free Consultation. No Commitment.
Tell us the use case and data you're working with. We'll send matched AI engineer profiles within 3–5 business days.