0203 507 0033
0833 757 0134Machine Learning Consulting Services
We deliver machine learning consulting that helps businesses design, deploy, and scale intelligent systems built for real-world use.
We provide machine learning consulting that delivers faster decisions and smarter systems
Machine learning is transforming industries but successful adoption requires more than experimentation. At Geeks, we help you identify practical ML use cases, build high-performance models, and integrate them with your business systems to deliver real value.
As a trusted machine learning consulting firm with offices in the US and UK, we support enterprise and mid-market teams at every stage of the ML journey. Whether you’re automating decisions, predicting outcomes, or improving operational efficiency, we design tailored ML solutions that are scalable, secure, and aligned with your strategy.
From first prototype to enterprise deployment, we make sure your investment in machine learning delivers long-term business impact.
We wouldn't exist without Geeks' support. They've allowed us to go from an unknown startup to a company with nearly 7.5% of the market share within a five-year period.Read the story
Andrew Lloyd
Managing Director
Trusted by 600+ businesses in 17+ years
Machine learning consulting that
translates complexity into business clarity
We offer a structured approach to machine learning consulting that connects data science with real operational needs. Our team brings technical expertise and commercial clarity to help you launch models that are accurate, explainable, and ready for production.
Built for your
data
We work with your existing datasets and infrastructure to build models that reflect your business logic, not just theoretical scenarios.
Delivered with confidence
Our consultants use clear sprint cycles and validation checkpoints to ensure models are tested, trusted, and on track to deliver.
Ready for deployment
We build systems that move seamlessly from lab to production, with clean APIs, integration with your tools, and long-term support.
Our client's success stories
with our AI services
We help you turn machine learning
into a practical business capability
Our machine learning consulting services focus on getting models out of notebooks and into production. We help you solve problems that matter, from fraud detection to supply chain optimization, using machine learning that is explainable, compliant, and performance-driven.
We build models you can use, understand, and scale. Whether you’re exploring a specific use case or embedding ML across your operations, we align each project with your business goals, data availability, and internal systems. No over-promises. Just the right model, trained and deployed for results.
What you gain with Geeks ML consulting
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Focused ML strategy: We help you pick the right use cases, not just the latest trend
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Enterprise-grade delivery: Models are built to scale and integrate with your systems
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Ongoing optimization: We support tuning, retraining, and post-launch monitoring
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Cross-functional alignment: We work with business, data, and IT teams to deliver value fast
Maximise your ROI with a proven ML consulting company
Our process is built to reduce the uncertainty many businesses face with AI. With Geeks, you get a consulting partner who understands both model development and the realities of enterprise operations.
A collaborative, business-first approach
We work closely with your stakeholders from day one, aligning on strategy, data, architecture, and delivery goals. Our machine learning consultants act as an extension of your team, ensuring each model is grounded in business value, not just algorithmic accuracy.
Geeks’ AI Adoption Process
AI Adoption
Prepare
Align
Observe
Engage
Why choose Geeks as
your AI services agency
30+ Prestigious Industry Awards
17+ Years of Delivering Excellence
Certified partners of
Microsoft and AWS
Extensive
Technical Skills
600+ Clients in
various industries
Book a Free Consultation
with Geeks
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You'll love working with Geeks if…
- You're a changemaker
- You're not afraid to explore new ideas with a proven partner
- You treat technology as an investment
- You're eager to disrupt your industry with technology
If you prefer, you can book a meeting with us directly
Our thinking
Evergreen Investment: Maximise the value of your AI adoption
Learn how to make strategic, sustainable investments in AI that deliver long-term value, balancing risk and reward to achieve impactful outcomes and help perpetuate investment cycles of continuous improvement,...
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Data chaos to AI clarity: A CEO's guide to building a data strategy that delivers ROI
Live webinar
Are your AI initiatives getting lost in a labyrinth of data? It's time to transform your data from a hurdle into your greatest asset for growth.
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Machine Learning Consulting FAQs
Machine learning consulting involves helping businesses design, develop, and implement machine learning models that solve real-world problems. Geeks provides end-to-end support, from identifying opportunities and preparing data to model deployment and post-launch optimization.
If your business generates large volumes of data and relies on decision-making, forecasting, or process automation, machine learning could help. We start with use case discovery to identify where ML will bring the highest return with the lowest risk.
We work across sectors including healthcare, finance, logistics, manufacturing, legal, and construction. Our ML consultants are experienced in building domain-specific models that comply with data governance and regulatory requirements.
Timelines depend on complexity, but our projects typically move from discovery to working prototype in 4 to 8 weeks. We use agile sprints to accelerate delivery and reduce time-to-value.
Yes. Integration is a core part of our delivery. We build models with clean interfaces that plug into your existing systems — including CRM, ERP, analytics tools, and cloud platforms, without disrupting your tech stack.
Geeks has teams in the United States and the United Kingdom. Our global delivery model supports enterprise clients across regions, with structured collaboration, transparent progress tracking, and local support where needed.