Artificial Intelligence & Automation Recruitment
The AI Talent Gap is Widening. The Organisations That Close It First Will Win. TS International connects ambitious organisations with AI, machine learning, and automation professionals across the GCC, Europe, and global markets.
MARKET INSIGHT
Artificial intelligence and automation are no longer emerging technologies — they are boardroom priorities. Yet the professionals who can design, build, and operationalise these systems remain scarce, and the competition for them is intense.
TS International has built a dedicated AI and automation recruitment practice combining 30 years of
technology recruitment expertise with deep knowledge of the fast-moving AI landscape. With offices in the UAE, UK, Germany, Poland, and India, we are positioned to support organisations at every stage of their AI journey — from early-stage data science capability building through to large-scale MLOps deployment, RPA implementation, and AI-driven product development.
We recruit for startups, scale-ups, enterprise technology functions, and the consulting organisations helping clients implement AI at scale. Our candidate networks span data scientists, ML engineers, AI architects, RPA developers, automation specialists, and the software engineers who underpin modern AI product development.
WHAT WE DELIVER
Access to passive AI talent — professionals not visible on job boards but engaged through our specialist networks Deep coverage across ML engineering, data science, MLOps, RPA, LLM integration, and AI leadership
Contract and permanent recruitment with in-house payroll for rapid AI team deployments
Support for greenfield AI team builds — from leadership hire through full team scale-up
Proven track record recruiting for GCC national AI strategy programmes in the UAE and Saudi Arabia
Understanding of both technical requirements and organisational culture for high-performing AI teams
SAMPLE PLACEMENTS
Artificial Intelligence & Machine Learning
Machine Learning Engineer — Model development, training pipelines, and production ML systems
AI Research Scientist — Applied and fundamental AI research and algorithm development
Data Scientist — Statistical modelling, predictive analytics, and insight generation
NLP Engineer — Natural language processing, LLM fine-tuning, and text analytics
Computer Vision Engineer — Image recognition, object detection, and visual AI systems
AI Product Manager — AI product strategy, roadmap, and cross-functional delivery
Prompt Engineer — LLM prompt design, evaluation frameworks, and model behaviour optimisation
MLOps & Data Engineering
MLOps Engineer — ML model deployment, monitoring, versioning, and pipeline automation
Data Engineer — Data pipeline design, ETL processes, and data platform architecture
Data Architect — Enterprise data strategy, data modelling, and platform governance
Analytics Engineer — dbt, data transformation, and analytics-ready data modelling
Feature Store Engineer — Feature engineering pipelines and ML data infrastructure
Big Data Engineer — Spark, Hadoop, and distributed computing at scale
RPA & Intelligent Automation
RPA Developer (UiPath / Automation Anywhere / Blue Prism) — Bot development and workflow design
RPA Architect — Automation framework design, platform governance, and CoE leadership
Intelligent Automation Consultant — Process discovery, automation strategy, and business case
development
Process Mining Analyst — Bottleneck identification and automation opportunity mapping
Low-Code / No-Code Developer — Power Platform, Appian, and rapid application development
Software Engineering & AI Development
AI Software Engineer — Full-stack development for AI-powered products and platforms
LLM Integration Engineer — API integration, RAG systems, and LLM application development
Cloud ML Engineer (AWS SageMaker / Azure ML) — Cloud-based model training and deployment
Backend Engineer (Python / Scala) — Data and AI application backend development
Data Visualisation Engineer — Dashboard development, BI tooling, and data storytelling
AI Leadership & Strategy
Chief AI Officer (CAIO) — Enterprise AI strategy, governance, and executive leadership
Head of Data Science — Team leadership, research direction, and stakeholder management
Head of Automation / RPA Centre of Excellence — Programme leadership and CoE establishment
AI Ethics & Governance Lead — Responsible AI frameworks, model risk, and regulatory compliance
VP of Data & Analytics — Senior data strategy leadership across enterprise organisations
WHY TSI
Specialist AI and automation practice within a global technology recruitment firm — not a generalist with an AI sub-desk
Active candidate networks in India's major AI hubs (Bangalore, Hyderabad, Pune) and GCC national AI strategy programmes
Proven capability delivering both AI leadership searches and high-volume AI team builds
Understanding of the generative AI landscape — LLM engineers, RAG specialists, and AI product managers
In-house Payroll and Visa Services enabling cross-border AI contractor deployment
Experience supporting both greenfield AI team builds and transformation programme staffing
FAQs
Do you recruit for both applied AI roles and AI research positions?
Yes. TSI recruits across the spectrum — from fundamental AI research scientists through to applied ML
engineers focused on production system deployment. We understand the distinct profiles, motivations, and
hiring processes for each and tailor our approach accordingly.
Can you recruit data scientists, data engineers, and ML engineers as distinct profiles?
Yes. We do not conflate these roles. TSI recruits data engineers who build the pipelines, data scientists who
develop the models, ML engineers who deploy and operationalise them, and analytics engineers who make
data accessible. Each search is scoped and screened distinctly.
Which RPA platforms do your candidates work with?
TSI recruits across UiPath, Automation Anywhere, Blue Prism, Microsoft Power Automate, Pega, and Appian.
We also recruit platform-agnostic automation architects and CoE leaders capable of defining strategy across multiple toolsets.
Do you recruit for generative AI and LLM-related roles?
Yes — this is one of the fastest-moving areas of our practice. TSI recruits Prompt Engineers, LLM Integration
Engineers, RAG specialists, and software engineers building LLM-powered applications. We maintain an active
pipeline of candidates with genuine hands-on generative AI experience.
Can you support organisations building an AI or data science team from scratch?
Yes. TSI supports both greenfield AI team builds and the scaling of existing data science functions. We can help define team structure, source the initial leadership hire, and build out systematically. Our managed service offering supports high-volume AI team builds for large digital transformation programmes.
Which industries do you recruit AI and automation talent for?
TSI recruits AI, data, and automation professionals across financial services, healthcare, retail, manufacturing, logistics, energy, telecoms, and the public sector. We also recruit for the technology vendors, consultancies, and system integrators serving these industries.
Can you make senior AI leadership appointments?
Yes. Our leadership practice covers Chief AI Officer, Chief Data Officer, Head of Data Science, VP of Analytics, and Head of Automation. We conduct targeted executive searches and understand the blend of technical credibility, strategic thinking, and stakeholder management these roles require.
Do you recruit for AI ethics, governance, and responsible AI roles?
Yes. As AI regulation matures globally — including the EU AI Act and NIST AI RMF — demand for AI ethics and responsible AI professionals is rising. TSI recruits AI Ethics Leads, Model Risk Managers, and AI Governance Specialists with relevant regulatory familiarity.
Which regions do you cover for AI and automation recruitment?
TSI has active campaigns across the UK and Europe (Germany and Poland), the Middle East (UAE and Saudi Arabia, where national AI strategies are driving significant investment), India (Bangalore, Hyderabad, Pune), and Southeast Asia. We support cross-border contractor mobilisation for global AI team deployments.
Can you support contract AI and data science engagements as well as permanent hires?
Yes. Contract and interim engagements are a significant part of our AI and data practice — particularly for model development phases, proof-of-concept delivery, and MLOps transformations. TSI manages contractor payroll through our in-house Payroll Services team, simplifying the engagement model.
To find out more or to start recruiting with us, simply contact us or leave your details and we’ll be in touch.
