Specialists in machine learning recruitment.
Building a high-performing ML team means hiring engineers who can move models from prototype to production. As a specialist machine learning recruitment agency, we’ll help you find ML talent who deploy models, scale infrastructure and drive real-world AI outcomes across your business.
THE PROBLEM
Finding ML talent slowing down your AI delivery?
The best machine learning engineers aren’t scrolling job boards. They’re building models, fine-tuning performance, and solving production problems.
At Digital Waffle, we specialise in machine learning recruitment. We reach the candidates who aren’t actively looking but have the skills to deploy models, automate workflows, and scale AI systems.
Whether you need someone hands-on with MLOps or a researcher to lead model innovation, we’ll help you find the right fit.
If you're scaling a machine learning team or delivering a critical AI product, we’ll take care of hiring so you can focus on results.
THE SOLUTION
Why you should partner with us.
Transform your business with machine learning.
We’ll connect you with skilled machine learning engineers, data scientists, and MLOps professionals who can deploy models, solve real-world problems and deliver meaningful impact. Whether you're scaling an AI product or embedding ML into workflows, we’ll help you move faster.
Build an ML team that fits your goals.
From NLP and computer vision to predictive analytics, we understand the tools, stacks and outcomes that matter. We don’t just match skills — we match context. You’ll meet candidates who align with your infrastructure, roadmap and business challenges.
Deliver value from day one.
We’ll introduce you to machine learning talent who can hit the ground running — whether that’s optimising data pipelines, improving model accuracy, or accelerating deployment. Every candidate is selected for their ability to make a measurable impact in production environments.
SALARY GUIDES
2025 UK data salary guide.
Hiring machine learning talent is competitive, and salary expectations are constantly evolving. If your packages don’t reflect market rates, the best ML engineers, data scientists and AI researchers will move fast.
Our 2025 UK data salary guide gives you the latest benchmarks across ML, AI, NLP and data science roles — so you can shape competitive offers and secure the technical expertise your projects demand.
TESTIMONIALS
What our clients say about us.
WHY WE’RE DIFFERENT
What makes us unique.
We don’t wait for candidates to come to us. Our team of 20 skilled recruitment consultants builds relationships with top professionals year-round. This means we really get to know their abilities, goals, and career plans. When you have a job opening, we can quickly find the perfect candidate who matches your company’s culture and needs.
We’re not a large, impersonal corporation. Our smaller team allows us to give you the personalised attention you deserve. We take the time to understand your specific needs and find the best talent for your company. You won’t be just another client to us – you’ll get dedicated service from experienced professionals who care about making successful placements.
Intuch offers more than just traditional recruitment services. We use a subscription-based model that spreads the cost of hiring over 6 or 12 months, reducing upfront expenses. Plus, our guarantee means if a candidate leaves within a certain period, we’ll refill the role. This innovative approach ensures you have ongoing access to top talent with minimal risk and maximum return on investment.
BENEFITS
What you will get in return.
A team of recruitment specialists
We have a team of 20 tech and digital recruitment specialists here to help you fill your roles.
Machine learning recruitment specialists
We have a dedicated team of ML resourcers to ensure we find the best possible candidates.
Dedicated account manager
A dedicated account manager is on hand, to ensure a seamless hiring process.
Direct comms with hiring manager
We will come and visit your office on a monthly basis for regular progress updates - if required.
Specialist hiring consultancy
We assess your current recruitment strategies and provide expert guidance to optimise every step.
Ongoing pipeline of candidates
We will create a pipeline of candidates interested in your company and share them with you.
Third-party PSL agencies
We partner with niche agencies to help fill slightly more difficult roles.
Access to top-line tech stack
Access to Linkedin Recruiter, SourceBreaker, Workable, Idibu, HubSpot, Apollo, Lusha, Vidyard.
Monthly marketing support
Our Marketing Manager is on hand to promote your vacancies and EVP across our channels.
Access to all the job boards
Access to all job boards including Jobsite, CV Library, Indeed, Reed, Monster Jobs, CW Jobs and Total jobs.
OUR DISCIPLINES
Our recruitment expertise.
Looking to hire data talent beyond machine learning? As well as our expertise in ML recruitment, we also specialise in data recruitment across the entire data and AI ecosystem to support innovation, automation, and growth.
MEET THE TEAM
Meet the machine learning team.
KEY ROLES
Data roles we specialise in:
Data Engineer
Azure Data Engineer
Senior/Lead Data Engineer (Azure)
FAQs
Machine learning FAQs.
Machine learning helps businesses make smarter decisions by turning data into predictions, recommendations and automation. From fraud detection to personalised experiences, ML powers many of today’s most advanced digital products.
Hiring machine learning talent with the right mix of technical depth and commercial awareness ensures your models are accurate, scalable and valuable in real-world use — not just in theory.
Because great ML hires don’t just tick off Python or TensorFlow — they understand how to apply models to business problems. As a machine learning recruitment agency, we’ll connect you with engineers, researchers and data scientists who can build, validate and deploy models that deliver results. We focus on finding talent who can collaborate across teams, work with your data stack and bring clarity to complex ML challenges.
We recruit across the full ML lifecycle, including:
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Machine Learning Engineers
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Data Scientists
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NLP Engineers
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Computer Vision Specialists
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MLOps Engineers
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Deep Learning Researchers
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AI/ML Architects
Whether you’re scaling AI infrastructure, deploying recommendation systems, or building out a research team — we can help you find talent that fits your goals, tech stack and pace.
Start by submitting your vacancy on our website. One of our ML recruiters will get in touch to learn about your hiring needs, tech environment and delivery roadmap.
From there, we’ll handle sourcing, shortlisting and interviews — introducing you to candidates who can work with your tools, scale your models and move projects forward.
Most ML roles are filled in around 10 working days. We move quickly, but we take the time to ensure every candidate is aligned with your stack, domain and technical standards.
From the initial brief to offer stage, we handle every step — so you can focus on delivery, not admin.
Look for people who don’t just write code — they understand data, model behaviour and business context. The best ML engineers know how to evaluate model performance, manage versioning, and deploy solutions in production.
Experience with frameworks like PyTorch or TensorFlow matters, but so does the ability to collaborate, explain decisions and iterate quickly.
Absolutely. Whether you’re hiring after funding, launching an AI product, or need to grow your ML team rapidly, we’ve got you covered.
We already know ML engineers, MLOps specialists and researchers across deep learning, NLP and production environments — so we can move fast without sacrificing quality or fit.