Hire AI/ML Engineers for US & UK Teams
Dedicated AI and machine learning engineers who work exclusively on your projects. Not freelancers. Not marketplace matches. Full-time, salaried Acquaint Softtech employees trained in TensorFlow, PyTorch, OpenAI APIs, LLM integration, RAG pipelines, and production ML deployment. NDA signed before any discussion. 100% IP ownership from day one.
70+
In-House Engineers$30
Starting Hourly Rate48hr
Onboarding Time48+
Clutch Reviews
We Know Why You're Here. Let's Fix It.
Most companies spend months recruiting AI talent, pay six-figure salaries, and still get engineers who understand theory but struggle with production. We've seen this pattern across 1,300+ projects. Here's how we solve the four biggest AI hiring problems.
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AI Hiring Takes 4-6 Months and Costs a Fortune?
Outcome you need: Skilled AI talent, fast, without six-figure salaries.
Senior AI engineers in the US cost $200,000-$350,000/year. Through Acquaint Softtech, you get dedicated AI/ML engineers starting at $30/hr ($4,400/month). Same tools, same standards. 48-hour onboarding instead of 4-month recruiting cycles. 70+ in-house engineers ready now.
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Can't Find Engineers Who Understand Production, Not Just Notebooks?
Outcome you need: Engineers who ship AI features that work in the real world.
Our AI/ML engineers have shipped fraud detection for fintech, recommendation engines for e-commerce, diagnostic analytics for healthcare, and data automation that saved 200 hours/week for an enterprise client. Production-grade. Not Kaggle-grade.
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Worried About Data Security and IP When Outsourcing AI?
Outcome you need: Full IP ownership, airtight security, zero risk.
We sign an NDA before any discussion. ISO 27001 certified. Encrypted storage, role-based access, audit logging. 100% IP ownership from day one - no licensing, no reuse clauses. 1,300+ projects delivered. Zero IP disputes. Ever.
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Need AI Integrated Into Your Existing Stack, Not a Full Rebuild?
Outcome you need: AI capabilities added to your current application seamlessly.
Our engineers integrate AI into your existing Laravel, React, Node.js, or Python application. They don't insist on rebuilding your infrastructure. They extend what you have with LLM APIs, RAG pipelines, predictive models, and intelligent workflows.
Trusted by Companies Across the USA, UK, Europe & Beyond
What Our Dedicated AI/ML Engineers Build for You
You don't need an AI research team. You need engineers who take your requirements, build production-grade AI features, and ship them into your existing product. Here's what our dedicated AI/ML engineers deliver.
🧠 LLM Integration - OpenAI, Claude, Gemini
Production-ready integrations with GPT-4o, Anthropic Claude, and Google Gemini. Structured prompt pipelines, streaming responses, function calling, tool use, and cost optimization. Token management, rate limiting, fallback strategies, and error resilience - not just basic API calls.
📚 RAG - Retrieval-Augmented Generation
Applications that answer questions from your own data - documents, knowledge bases, databases. Full RAG pipeline: document ingestion, chunking strategies, embedding generation, vector storage (Pinecone, Weaviate, pgvector), semantic retrieval, and LLM-generated answers grounded in your content.
👁️ Computer Vision & Image Processing
Object detection, image classification, OCR, quality inspection, and visual search. OpenCV, TensorFlow, PyTorch, and cloud vision APIs (AWS Rekognition, Google Cloud Vision, Azure Computer Vision).
💬 Natural Language Processing
Text classification, sentiment analysis, named entity recognition, language translation, text summarization, and document understanding. Production NLP systems that process unstructured text at scale.
📊 Predictive Analytics & Forecasting
Demand forecasting, churn prediction, lead scoring, price optimization, and risk assessment. Models that integrate with your business workflows and improve decisions with quantified confidence.
🤖 AI Chatbots & Conversational AI
Intelligent chatbots for support, onboarding, knowledge retrieval, and AI copilots. Multi-turn conversation, context management, memory, tool calling, and streaming - built on your existing stack.
⚙️ MLOps & Model Deployment
Model versioning, automated retraining, A/B testing, monitoring, drift detection. Deploy to AWS SageMaker, GCP Vertex AI, Azure ML, or custom Kubernetes - and keep models running reliably.
🔄 AI Workflow Automation & Agents
Document classification, intelligent routing, content generation, data extraction, agentic workflows chaining multiple AI calls. Queue-based, observable, fault-tolerant - designed for production.
AI and Machine Learning Tech Stack
Production-tested tools and frameworks - not experimental research libraries. Selected for scalability, reliability, and real-world deployment.
How AI/ML Engineers Transform Your Business Operations
📈 Improve Data Processing & Analytics
AI algorithms process large datasets faster and more accurately. Simplify data collection, reporting, and compliance management for regulated industries like healthcare, finance, and energy.
🔮 Introduce Predictive Analytics
Build predictive models using real-time and historical data to forecast trends, customer behavior, and market dynamics. Proactively adapt strategies instead of reacting to changes.
⚡ Automate Processes and Save Costs
From HR to logistics to manufacturing, AI engineers help eliminate manual work, decrease errors, and cut human-hour costs. Many projects deliver 3-5x ROI within the first year.
💬 Enhance Client Communication
AI chatbots and virtual assistants handle customer queries 24/7, reducing support costs by up to 40% while improving response times and customer satisfaction.
🎯 Create Personalized User Experiences
AI analyzes user behavior and flows to create tailored digital experiences. Personalized recommendations can increase conversion rates by 15-30% for e-commerce platforms.
🔒 Improve Security
AI-based algorithms offer reliable image recognition, anomaly detection, and bank-grade authentication to guard systems from cyberattacks and unauthorized access.
How Our AI/ML Engineers Maintain Model Quality
AI models don't stay accurate on their own. They drift, break, and degrade without structured quality practices. Our engineers follow MLOps workflows that catch problems before your users do, from code review to production monitoring.
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Code & Model Practices
Clear naming, documentation, full model reproducibility. Clean code standards applied to every ML pipeline and deployment script. Every project follows version-controlled experiment tracking so results can be reproduced and audited at any point.
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Model Integration Testing
ML models and APIs auto-validated to check data inputs, prediction behavior, and integration with application services before deployment. Edge cases and failure scenarios are tested before any model reaches your production environment.
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Pipeline & Code Review
Automated scans followed by peer reviews. Every model and pipeline change goes through collaborative review before reaching production. No single engineer pushes code without at least one senior review and automated quality gate clearance.
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System Health Monitoring
Latency, resource consumption, and prediction accuracy tracked continuously. Systems flagged automatically when performance degrades or drifts. Alerts trigger retraining workflows or rollback procedures before accuracy drops affect your users.
AI in Production - Not Just Prototypes
Every case study below is independently verified on Clutch.co. Named clients. Specific outcomes. Publicly auditable.
AI-Powered Data Transformation
🇪🇺 Europe · Enterprise Technology
AI-Powered Data Pipeline for a European Enterprise
Ailleron (Chairman, Rafal Styczen) engaged Acquaint to automate their data handling process. We built an AI pipeline using machine learning models that classified incoming data, detected anomalies, applied formatting rules, and generated structured outputs - replacing hundreds of hours of manual work per week.
200 Hours/Week Saved | 4→1 Days for Reports | 5.0★ Clutch Rating
Python | Machine Learning | Data Pipeline Automation | AI Classification
Predictive Health Intelligence
🇮🇹 Italy · Healthcare / Diagnostics
Predictive Analytics Platform for Italy's Largest Diagnostics Group
BIANALISI SPA (CEO, Giovanni Gianolli) needed to transform lab data into predictive health intelligence. We deployed 6-10 Python engineers to build a GDPR-compliant platform that replaced manual monthly reporting with automated pipelines, surfacing patient risk patterns earlier than expected.
Earlier Anomaly Detection | GDPR Compliant | 5.0★ Clutch Rating
Python | Predictive Analytics | Machine Learning | Healthcare AI
ML-Powered Recommendation Engine
🛒 E-Commerce · Machine Learning
Custom ML Recommendation Engine for Multi-Brand E-Commerce
An e-commerce platform (Clutch verified, Sep 2025 - Mar 2026) needed intelligent product suggestions across multiple partner stores. We built a behavioral data pipeline and ML recommendation engine that analyzed browsing patterns, purchases, and engagement signals - adaptable per store's catalog with zero page load impact.
Multi-Store Adaptable | Instant Rendering | ML-Powered Behavioral Analysis
Python | Machine Learning | Recommendation Engine | E-Commerce AI
AI-Powered Conversational Shopping Assistant
🇩🇪 Germany · Manufacturing / E-Commerce AI Shopping Assistant for a Global Safety Footwear Brand
HAIX, an innovative high-tech safety footwear manufacturer, needed an AI-powered conversational assistant that recommends products based on user preferences. Acquaint built the solution and launched it successfully. Customer engagement increased after deployment, and customers could now make more informed purchasing decisions through AI-guided conversations.
Increased Engagement | AI-Powered Recommendations | Clutch Verified Python | AI | Conversational AI | Product Recommendations | E-Commerce
Acquaint Softtech vs Toptal/Turing vs Freelancers
An objective side-by-side. We show where we're stronger and where others might be a better fit.
| Criteria | Acquaint Softtech | Toptal & Turing | Freelancers / Upwork |
|---|---|---|---|
| Model | Dedicated full-time engineers | Freelance marketplace (Toptal) / AI-matched platform (Turing) | Open marketplace |
| Starting Rate | $30/hr | $50–250/hr (Turing $50–100, Toptal $120–250) | $20–150/hr |
| Full-Time Monthly | $4,400/mo | $8,000–30,000/mo | Varies widely |
| Team Model | Dedicated team + optional PM | Individual placements only | Individual freelancers |
| IP Ownership | ✓ 100% yours. NDA day one. | Contract-dependent | Often unclear |
| Avg Developer Tenure | 24+ months | Project-based / variable | Project-based |
| Onboarding Speed | 48 hours | 4 days – 3 weeks | Immediate but risky |
| Verified Reviews | ✓ 42+ Clutch reviews, 4.9/5 | Platform ratings only | Platform reviews |
| ✓ ISO 27001 Data Security | ✓ Certified | ✗ Varies | ✗ Not applicable |
| Named AI Case Studies | ✓ Verified on Clutch | Individual profiles only | No |
| Best For | Long-term dedicated AI teams at transparent rates | Short-term elite specialists (Toptal) or mid-budget quick hires (Turing) | Budget-flexible short tasks |
See Exactly How Much You Save When You Hire Remote AI/ML Engineers vs Locally
The numbers speak for themselves. Most clients save 60–80% compared to hiring equivalent AI/ML talent in the US, UK, or Australia - without sacrificing technical depth or framework credentials.
We're not cheap. We're an ISO 27001 certified company with 42+ Clutch reviews, named AI case studies, and 1,300+ delivered projects. The cost advantage is structural - not a quality trade-off.
Full-Time Senior AI/ML Developer
US AI/ML Engineer (in-house)
$12,500–$29,000/mo
UK AI/ML Engineer (in-house)
£6,700–£12,500/mo
Annual saving vs US hiring
$96,000 – $296,000/yearCost to Hire AI/ML Engineer
Clear, Predictable Rates - No Surprises. Ever. No recruitment fees. No setup charges. No lock-in. Published pricing from day one. Switch plans as your needs change.
- → Flexible hourly engagement
- → AI feature additions & model tuning
- → Bug fixes and maintenance tasks
- → Time tracking and monthly billing
- → 1-week notice to pause or stop
- → NDA and IP protection
For updates, tuning, and support tasks
- → Your AI/ML engineer - your projects only
- → Agile, sprint-based workflow
- → Daily standups and direct Slack access
- → Continuous AI feature development
- → No hiring or onboarding cost
- → Free developer replacement guarantee
- → 1-month exit notice, no penalty
- → Full NDA and IP ownership
For product teams and continuous development
- → Dedicated AI squad
- → ML + Data + Backend combinations
- → Discovery workshop to define scope
- → Milestone-based payment schedule
- → Volume pricing for larger engagements
- → Post-launch support included
For defined deliverables or team scaling
AI/ML Engineers for Your Specific Situation
🚀 For Startups Building AI MVPs
Validate your AI concept quickly without burning through your seed round. Starting at $30/hr. Functional AI features that prove product-market fit - not research-grade models that take 6 months.
📈 For SaaS Adding AI Features
Your users want intelligent features and your team doesn't have ML expertise. Our engineers plug into your existing workflow and ship AI features without disrupting your release cycle.
🏢 For Agencies (White-Label)
Your client needs AI and your bench is thin. Our engineers work under your brand, join your client calls if needed, deliver under full NDA. No direct client contact unless you want it.
🏛️ For Enterprise AI Adoption
Engineers who understand security protocols, compliance, legacy integration, and change management. Delivered AI for fintech (XOALA, MAP FinTech), healthcare (BIANALISI SPA), aviation (ASQS) - all verified on Clutch.
🔬 For R&D Teams Needing ML Specialists
Your research team has the ideas but needs hands-on ML engineering to move from notebooks to production. Our engineers bridge the gap between experimentation and deployment - model optimization, pipeline automation, and infrastructure setup.
🌍 For Distributed Teams Scaling AI
Already have engineers in-house but need to scale AI capacity without 4-month hiring cycles. Our dedicated engineers integrate into your existing sprints, tools, and timezone - extend your team, not replace it.
AI/ML Engineers Who Know Your Industry
Domain knowledge cuts onboarding time in half. Our engineers have shipped AI across these sectors.
🤖 AI-Driven Platforms
Applied AI use cases, automation, data-driven features, intelligent workflows that integrate into existing systems
📱 On-Demand Solutions
Real-time workflows, user coordination, operational reliability, systems that handle dynamic demand at scale
🛒 E-Commerce & Marketplaces
Recommendation engines, dynamic pricing, visual search, demand forecasting, inventory optimization
🏥 Healthcare & HealthTech
Diagnostic analytics, patient outcome prediction, clinical decision support, medical document processing, GDPR/HIPAA compliance
🏠 Real Estate & PropTech
Automated valuation models, lead scoring, property matching, market prediction, data-driven decision making
🔮 Emerging Technology
New technologies and digital models - turning early ideas into stable, scalable products with practical AI integration
🎓 Education & EdTech
Content delivery optimization, student engagement analytics, personalized learning paths, scalable backend AI support
💳 Finance & FinTech
Fraud detection, credit scoring, compliance automation, transaction monitoring, risk assessment, algorithmic insights
⚙️ SaaS & Subscription Platforms
AI-powered features, smart search, automated classification, usage prediction, churn models, subscription intelligence
Hire AI/ML Engineers in 48 Hours
A simple, friction-free process built around your time - not ours.
Share Requirements
Tell us what AI capabilities you need. 3 minutes via form, email, or WhatsApp.
Receive Profiles
Get 2–3 matched AI/ML engineer profiles within 4 hours.
Interview Directly
Speak with candidates. Assess technical depth and team fit. No middlemen.
Sign NDA & Select
Choose your engineer. NDA signed. IP terms agreed. Access provisioned.
Engineer Starts
First sprint planned, development begins. Within 48 hours of first contact.
We Carry the Risk. You Keep All the Control.
Most companies that hesitate to hire an offshore AI/ML team are protecting themselves from a previous bad experience. We've structured every aspect of our engagement to eliminate that risk - not reduce it. Eliminate it.
🛡️ 1-Week Risk-Free Trial
Try your AI/ML engineer for one week. Not satisfied? We replace at zero cost. No questions.
🔒 NDA Before Any Discussion
We sign an NDA before you share any project details. Your business logic, data, and ideas are protected from the first conversation - not just when development starts.
📄 100% IP Ownership from Day 1
Every line of code is unconditionally yours. No licensing fees, no conditional ownership clauses, no "we retain the right to reuse components." Everything transfers to you.
🚪 1-Month Exit with Zero Penalties
Monthly engagements end with 1-month notice. No termination fees, no long-term contract obligations, no lawyers needed. You leave when you want to leave.
🔄 Free Developer Replacement
If your developer leaves, gets sick, or isn't working out - we replace them immediately at zero extra cost. Your work never stops because of our internal staffing issues.
🔐 ISO 27001 Data Security
Encrypted storage, role-based access, audit logging on every engagement. GDPR/HIPAA compatible.
What Clients Say After They Hire Laravel Developers from Acquaint Softtech
Companies across the US, UK, and Europe chose Acquaint Softtech. Here's what they said - verified on independent platforms.
Frequently Asked Questions
Complete, honest answers - no sales language, no deflection. Every Question Answered. Honestly.
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What does an AI/ML engineer do?
An AI/ML engineer designs, builds, trains, and deploys machine learning models and AI features within software applications. This includes predictive analytics, recommendation engines, LLM integrations (GPT-4, Claude), computer vision, NLP systems, and MLOps pipelines. At Acquaint Softtech, our AI/ML engineers focus on applied AI - systems that solve real business problems in production, not academic research.
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AI engineer vs ML engineer vs data scientist - which do I need?
A data scientist analyzes data and builds experimental models. An ML engineer makes those models work reliably in production - deployment, scaling, monitoring, retraining. An AI engineer is broader - ML engineering plus integration of AI services (LLM APIs, computer vision, NLP) into applications. Not sure? Tell us what you're building and we'll recommend the right profile.
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How much does it cost to hire an AI/ML engineer from India?
Through Acquaint Softtech, dedicated AI/ML engineers start at $30/hr ($4,400/month for full-time). In the US, equivalent roles cost $150,000-$350,000/year. The cost advantage is structural - India's lower cost of living - not a quality trade-off. Our engineers work with the same tools (TensorFlow, PyTorch, OpenAI APIs) and follow the same development practices.
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How do you vet your AI/ML engineers?
All engineers are full-time, salaried Acquaint Softtech employees. They undergo technical assessment covering ML fundamentals, framework proficiency, system design, and production deployment experience. We evaluate communication skills and English fluency. Average tenure is 24+ months.
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Can I hire an AI engineer for a short-term project?
Yes. Part-time engagement starts at $30/hr (up to 4 hours/day). Fixed-scope AI projects start from $8,000. For short-term needs like an AI proof of concept, chatbot integration, or LLM API setup, part-time or project-based engagement works well.
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Who owns the AI models and code you build?
You do. 100%. Every model, training pipeline, deployed system, and line of code is unconditionally yours. NDA signed before any discussion. Complete IP transfer. No licensing, no revenue-share. 1,300+ projects. Zero IP disputes.
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How quickly can I onboard an AI/ML engineer?
48 hours from first contact to your engineer starting work. All 70+ engineers are in-house, assessed, and ready. No external recruitment wait.
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Can your AI engineers work in my timezone?
Yes. Flexible scheduling with 4-6 hours daily overlap for US EST, UK GMT, and AU AEST. Direct Slack access, daily standups, and async updates. No account manager relay.
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How does Acquaint compare to Toptal or Turing?
Toptal is excellent for short-term, high-budget specialist engagements ($120-250/hr). Turing offers AI-matched placements at mid-range rates. Acquaint Softtech is built for dedicated long-term AI teams at $30-45/hr with full IP ownership. We're a development partner, not a matchmaking platform.
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What industries have your AI engineers delivered for?
Fintech (XOALA, MAP FinTech, FLIQA Payments), healthcare (BIANALISI SPA), aviation safety (ASQS), real estate (Croisette), enterprise data automation (Ailleron - saved 200 hrs/week). All verified on Clutch.
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How does Acquaint compare to other Indian AI companies?
48+ verified Clutch reviews at 4.9/5, 1,293+ Upwork reviews (98% success rate), ISO 27001, official Laravel/Statamic/Bagisto/Laravel News partnerships. Named case studies with metrics. Publicly auditable credentials.
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What are the risks of outsourcing AI development?
Primary risks are IP leakage, quality inconsistency, and communication gaps. Acquaint Softtech mitigates these with NDA before any discussion, ISO 27001 certification, in-house engineers (not freelancers), and direct Slack communication with 4-6 hour daily timezone overlap. Zero IP disputes across 1,300+ projects.
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Should I hire an AI engineer or use AI-as-a-Service?
If you need custom models trained on your data, AI deeply integrated into your product, or competitive differentiation through AI - hire an engineer. If you need standard capabilities like basic sentiment analysis or off-the-shelf image recognition, AI-as-a-Service platforms (AWS AI, Google Cloud AI) work fine and cost less.
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Should I use LLM fine-tuning or RAG?
RAG is right for most business applications - faster to implement, uses your existing data, no expensive training. Fine-tuning makes sense when you need a model to learn a specific style, format, or domain deeply. Our engineers recommend RAG for 80%+ of client use cases.
India (Head Office)
203/204, Shapath-II, Near Silver Leaf Hotel, Opp. Rajpath Club, SG Highway, Ahmedabad-380054, Gujarat
USA
7838 Camino Cielo St, Highland, CA 92346
UK
The Powerhouse, 21 Woodthorpe Road, Ashford, England, TW15 2RP
New Zealand
42 Exler Place, Avondale, Auckland 0600, New Zealand
Canada
141 Skyview Bay NE , Calgary, Alberta, T3N 2K6
Your Project. Our Expertise. Let’s Connect.
Get in touch with our team to discuss your goals and start your journey with vetted developers in 48 hours.