Dedicated AI/ML Engineers
Ship AI Features and Intelligent
Systems
With Embedded
Senior Engineers and Predictable Delivery.
- ISO 27001 Certified
- ISO 22301 Certified
- DORA Aligned
- GDPR Compliant
- Start in 7–10 days
- From €5–6k/mo
Years in Business
18
+
Customer Retention Rate
97
%
Successful Projects
250
+
FlawlessRating
5
.0
HST Solutions provides dedicated AI and ML engineers, backed by project management, architecture oversight, and DevOps, for organisations across Ireland, the UK, and Europe. Not freelancers; a full managed engineering capability. ISO 27001 certified.
Why Teams Bring Us In
- AI prototypes never reach production
Most AI/ML work dies in Jupyter notebooks.
- LLMs need data readiness
RAG won't work on CSV exports and unmanaged SharePoint files.
- Hiring senior ML talent is slow
€120k+ roles remain open for months.
- A single AI hire can't run MLOps
You need engineering, infra, safety, testing, pipelines and monitoring.
- You don't need a research lab
You need production- grade AI systems that ship on a predictable cadence.
Who Brings in a Managed AI/ML Engineer
Organisations building AI features
but lacking senior AI/ML engineering
Product teams stuck with
models that work in a notebook but not in production
CTOs who need LLM/RAG
systems but don't have embeddings, vector stores or MLOps expertise
Companies who need AI for risk scoring,
automation, decision support, or domain-specific intelligence
Firms in regulated industries
that require secure, auditable AI solutions
Leaders unable to hire senior
AI/ML talent fast enough (3–6 month hiring cycle)
If you need real AI systems shipping in production
not justprototypes this is built for you.
What you get
Managed AI/ML Engineer
Senior AI/ML Engineer
- Deep learning
- LLMs
- Embeddings
- RAG
- Semantic search
- Classical ML
- MLOps
Project Manager included
- Scope clarity
- Weekly reporting
- Stakeholder communication
AI Architect included
- Model governance
- Design reviews
- Data readiness checks
- Safety patterns
MLOps/DevOps included
- CI/CD for models
- Deployment pipelines
- Monitoring
- Drift detection
SLA & Compliance
- Weekly demos
- ISO 27001
- GDPR
- Enterprise audit trails
- Full IP assignment
One monthly price. One embedded seat. A full team behind it.
This is Managed AI Engineering, not staff augmentation.
Where We Help
Generative AI&LLM Systems
- LLM integrations (OpenAI, Anthropic, Azure, Bedrock)
- RAG systems with vector stores (Weaviate, Pinecone, FAISS)
- Knowledge base ingestion & indexing
- Multi-agent LLM pipelines
- Domain-specific copilots
- Prompt engineering + evaluation harnesses
Predictive & Classical Machine Learning
- Risk scoring, anomaly detection, fraud detection
- Forecasting & optimisation models
- Customer behaviour prediction
- Recommendation systems
- Statistical & ML pipelines
AI Infrastructure & MLOps
- Feature pipelines
- Model registry/versioning
- Automated fine-tuning & retraining
- Monitoring, drift detection, quality checks
- Real-time inference APIs
- GPU optimisation & cost control
AI-Ready Data Layer
AI cannot work without strong foundations. We fix the missing layers:
- Data cleaning, transformations, observability
- Batch + streaming pipelines
- Lakehouse ingestion (Databricks / Snowflake / Iceberg)
- Data quality & validation for ML inputs
- Secure access control
Technology Stack
AI/ML
LLMs & Gen AI
Vector Stores
MLOps
Pipelines
AI/ML
Python
PyTorch
TensorFlow
Scikit-learn
XGBoost
LLMs & Gen AI
OpenAI
Azure OpenAI
Anthropic
AWS Bedrock
LangChain
LlamaIndex
Vector Stores
FAISS
Pinecone
Chroma
Weaviate
MLOps
MLflow
SageMaker
Vertex AI
Databricks
Docker
Kubernetes
Pipelines
MLflow
SageMaker
Vertex AI
Databricks
Docker
Kubernetes
We build on your stack, not ours.
Stack
Realistic, enterprise-credible
AI/ML
- Python
- PyTorch
- TensorFlow
- Scikit-learn
- XGBoost
LLMs & Gen AI
- OpenAI
- Azure OpenAI
- Anthropic
- AWS Bedrock
- LangChain
- LlamaIndex
Vector Stores
- FAISS
- Pinecone
- Chroma
- Weaviate
MLOps
- MLflow
- SageMaker
- Vertex AI
- Databricks
- Docker
- Kubernetes
Pipelines
- Airflow
- Step Functions
- Prefect
Data Infra
- Delta Lake
- Iceberg
- Kafka
- Kinesis
- Azure Functions
- Cosmos DB
- Databricks
We build on your stack, not ours.
The 12-week "Build & Ship" AI Program
A proven framework to transform your data infrastructure from fragile to production-ready
Align
01
Use-case prioritisation, feasibility, architecture, safety/risk checklist.
Build
02
Data prep, model development, RAG pipelines, vector store indexing, API design.
Ship
03
Production deployment, monitoring, governance, documentation, testing frameworks.
Deliverables
Model pipeline, RAG system, embedding store, dashboards, CI/CD, runbook.
Small scopes ship faster. Large scopes follow the same structure with extended cycles.
Small scopes ship faster. Large scopes follow the same structure with extended cycles.
Why Marketplaces Can't Deliver AI for Enterprises
Marketplace  Toptal/Proxify |  HST – Managed Security Engineer | |
|---|---|---|
| Talent only | ||
| PM + Architecture | ||
| DevOps built in | ||
| Landing zone expertise | ||
| SLAs & ISO 27001 | ||
| Fixed monthly price |
|
|
We ship migrated workloads, not résumés.
Proof that Reduces Risk
Years in Business
18
+
Successful Projects
250
+
Data Processed Daily
97
%
Certified
ISO
27001
- We hired one engineer and got a team behind him. Pipelines stabilised, dashboards shipped. No hand-holding.
— Financial Services client, Dublin
What We Delivered
AI/NLP Automation for Medical Device Cybersecurity– Nova Leah(Ireland)
Nova Leah provides cybersecurity solutions for medical devices — where accuracy and
safety are non-negotiable.
They partnered with HST to build AI systems that automate the highly complex MDS2/MDS+ security questionnaires.
They partnered with HST to build AI systems that automate the highly complex MDS2/MDS+ security questionnaires.
- Challenges
- 300–500+ item questionnaires
- Technical cybersecurity terminology
- Manual answers inconsistent across reviewers
- Expensive to scale
- Errors create compliance risk
- AI/MLSolution
- Fuzzy string matching to auto-answer based on historical data
- Semantic similarity (distil-RoBERTa) to match intent across devices
- Nine microservices handling search, creation, validation and auto-answering
- Serverless architecture using Azure Functions
- NoSQL backend optimised for NLP workloads
- Cold-start mitigation, stateless model design, high performance
- Outcome
- Answer time reduced from hours → minutes
- Consistency across submissions
- Regulatory confidence & auditability increased
- Scalable across new devices with zero manual overhead
- A true enterprise-grade AI solution — fully productionised
Multi-Agent RAG System for Technical Query Routing – TyreCheck
A complex tyre-inspection platform needed an AI system that could automatically
interpret user questions and return accurate data from Cosmos DB.
The system required domain-precision, not generic ChatGPT behaviour.
The system required domain-precision, not generic ChatGPT behaviour.
- AI System Components
- RAG retriever to fetch top 3 semantically similar queries
- Semantic similarity agent to validate matches
- Query generation agent to modify existing DB query logic
- Fallback LLM agent for unseen questions
- Pipeline executing updated queries against Cosmos DB
- Natural language output layer
- Outcome
- Reduced incorrect responses
- Automatic query updates without developer intervention
- Enterprise-level control, audit logs and reliability
- 24/7 scalable domain-specific intelligence
- This is the kind of AI system companies expect to pay €150k+ per engineer for when reliability, governance, and production delivery actually matter
Trusted by leading organisations
Pricing
Clear, guarded, no hidden overages
Precision Pod
€5–6k/month
Single seat
- 1 Senior Data/ML Engineer
- PM included (up to 6–8h/month)
- Architecture reviews (up to 2h/week)
- DevOps/QA release assist
- 3-month minimum, then 30-day notice
- Start in 7–10 business days
Pair Pod
€10–11k/month
Two engineers
- 2 Senior Data/ML Engineers
- PM included (up to 10h/month)
- Architecture reviews (up to 4h/week)
- DevOps/QA release assist
- 3-month minimum, then 30-day notice
- Start in 7–10 business days
Mini-Team
€15–16k/month
Three engineers
- Data Engineer + ML Engineer + Full-stack
- PM included (up to 15h/month)
- Architecture reviews (up to 6h/week)
- DevOps/QA release assist
- 3-month minimum, then 30-day notice
- Start in 7–10 business days
- Swap guarantee
If t is off in the rst 2 weeks, we replace within 5 business days at no cost.
COMMON QUESTIONS
Frequently Asked Questions
How quickly can you onboard a dedicated AI engineer?
Typically within 7–10 business days, including alignment workshops, scoping, and initial technical setup.
What's included beyond the engineer's time?
Every dedicated AI engineer engagement includes architecture oversight, project management, weekly reporting, design reviews, data readiness checks, MLOps setup (CI/CD for models, deployment pipelines, monitoring), and quality assurance. This is managed AI engineering, not staff augmentation.
What if the engineer isn't the right fit?
We provide a resource alignment process to match each engineer’s skills to your specific technical stack and objectives. If adjustments are needed, we reassign expertise to maintain continuity and delivery quality — typically within days, not weeks.
Can I scale up to a full AI team?
Yes. Many engagements start with one dedicated engineer and expand to 2–5 engineers as AI initiatives grow. We handle the scaling, coordination, and delivery management.
What industries do your AI engineers have experience in?
Our AI/ML engineers have delivered production systems across financial services (fraud detection, risk scoring), healthcare (predictive analytics, diagnostics), retail (personalisation, demand forecasting), logistics (route optimisation), insurance (claims automation), and customer service (intelligent agents).
How does pricing compare to hiring in-house?
A senior AI/ML engineer in Ireland commands €80,000–€120,000+ annually in salary alone — plus benefits, equipment, recruitment fees (20–25% of salary), and management overhead. Our managed service starts at €5,000–€6,000/month (€60,000–€72,000/year) and includes architecture, PM, and MLOps support that would cost an additional €50,000–€100,000/year to build in-house.
Give us 20 minutes. We'll show you a plan you can ship.
FLEXIBLE ENGAGEMENT MODELS
Find The Perfect Solutions For Your Project
Managed Team
Your product, our dedicated team. From concept to conception, we handle it all.
Staff Augmentation
Need extra hands? Our experts seamlessly join your team, providing the skills you need, when you need them.
Fixed Cost
Upfront price, guaranteed delivery. Your project completed on time
and within budget.
One Team, One Dream
At HST, there is no such thing as not my problem.
Build Trust with Every Interaction
We’re accountable to our clients and to each other. which means being open even when things aren’t going smoothly.
Improve Everything
The world of software and business moves fast so we re always learning and honing our skills.
Own It
We are a team of doers and we take responsibility for the success of everything we do.
Obsessed: Over Results
We’re obsessed with driving business value for our clients and we know that starts with gaining a deep understanding of the problems they’re facing
Proven Excellence
Our word is our bond. With 250+ projects delivered on time and within budget, we’ve built a reputation for keeping every promise.
Partners in Precision
Financial services, insurance, healthcare, retail, media. Trust built where excellence is the only option.
Who Are We ?
Creativity, Efficiency, & Advanced AI
Strategy
We've got all the big ideas and creative talent of an ad agency or creative studio except we deliver working products, not expensive presentations.
Engineering
We develop lean, stable code using all the best practices of any leading dev shop, except we focus on the user experience so people actually like using what we build.
Design
We validate, design, and prototype proof-of-concepts like any "creative technology" studio, but we do it in less time and for less money.
Co-paired AI
Co-paired AI development ensures twice the efficiency at a lower cost. We prioritize your software for innovative, precise, scalable, and quality-assured applications.
Strategy
We've got all the big ideas and creative talent of an ad agency or creative studio except we deliver working products, not expensive presentations.
Engineering
We develop lean, stable code using all the best practices of any leading dev shop, except we focus on the user experience so people actually like using what we build.
Design
We validate, design, and prototype proof-of-concepts like any "creative technology" studio, but we do it in less time and for less money.
Co-paired AI
Co-paired AI development ensures twice the efficiency at a lower cost. We prioritize your software for innovative, precise, scalable, and quality-assured applications.
Contact Us
Tell us about your custom software project
Let our team, be your team
Get a technical conversation about your project — not a slide deck. Whether you need AI integration, a software engineering team, or a data platform, we’ll tell you honestly if we’re the right fit.
Years in Business
0
+
Flawless Ratings
0
.0
Successful Projects
0
+
