As a machine learning recruitment agency, we help businesses hire ML engineers and specialists who build, train and deploy machine learning models across real-world data environments. From predictive modelling and forecasting to scalable ML pipelines and production systems, we’ll help you secure the expertise needed to support data-driven decision making and long-term growth.
Overview
Hiring the right machine learning professional isn’t just about understanding algorithms. Businesses need people who can work across data pipelines, training data and model development, while also managing model deployment, monitoring and performance in production environments.
As a machine learning recruitment agency, we help businesses hire ML engineers, ops specialists and applied ML professionals who build, train, deploy and monitor models in production. From predictive modelling and deep learning to NLP, computer vision and scalable ML pipelines, we'll help you secure the expertise needed to move machine learning into real-world use.
Our disciplines
Alongside our machine learning recruitment expertise, we also support hiring across closely related data disciplines that connect to model development, from artificial intelligence through to business intelligence and data analysis.
The problem
Machine learning roles can overlap quickly, from Machine Learning Engineers and Data Scientists through to senior and lead positions. Some roles focus on building models, others on scaling them or defining the overall approach. Without clarity, it becomes difficult to define the right capability and scope the role properly.
Many candidates are comfortable building models in experimental environments, but far fewer have experience deploying models, working with pipelines and maintaining performance in production systems. This gap between modelling and real-world application is one of the most common challenges in machine learning hiring.
Machine learning depends on clean, structured and well-prepared data. In many organisations, data quality, consistency and feature engineering processes are still evolving, which makes it harder to attract candidates used to working with reliable datasets and established data practices.
Building initial models is only part of the challenge. Scaling machine learning systems requires experience managing performance, reliability and ongoing improvement as usage grows. Many businesses struggle to find candidates who can support this transition beyond early-stage modelling.
How we can help
We help define the scope of your role before the search begins, whether that sits within model development, applied machine learning or technical leadership. This ensures alignment between expectations and capability, helping you hire the right level from the outset.
We focus on professionals who can take models beyond experimentation and support their use in production. This includes experience working with pipelines, maintaining performance and ensuring models operate reliably within live systems.
We take time to understand your data quality, structure and readiness before approaching the market. This includes how data is prepared and managed, ensuring the candidates you meet are suited to your environment and can contribute effectively from day one.
We prioritise candidates who understand both modelling and how systems evolve over time, from improving performance through to supporting forecasting, optimisation and business decision making. This ensures your machine learning capability delivers measurable impact as it grows.
Case studies
"We were hiring a Lead AI/NLP Engineer to strengthen the core of our product, which is the kind of hire we couldn't afford to get wrong. The quality of candidates Digital Waffle put in front of us stood out, and they understood exactly what we needed from both a technical and team-fit perspective. They had us hiring inside 3 weeks, and the process was smooth from start to finish."
"The team at Digital Waffle were really good to work with. They took the time to understand the role and the kind of person we were looking for. Communication with Harry and the team was clear throughout, and they made the whole process feel straightforward. Happy to recommend them."
"Digital Waffle handled our hiring across data and engineering for the last year, supporting a big period of transformation. They listened to what we needed and brought us qualified candidates for each role, twenty in total. The team they've helped us build is now delivering real results across our digital projects. They got the brief and they got it right."
"We needed to grow headcount by 50% in 6 months, including hard-to-fill tech roles, which wasn't something we were going to do on our own. Digital Waffle filled the gap properly. They got us the people we needed at the pace we needed them, and at significantly less cost than building out our own recruitment function. We hit the target on schedule."
"Hitting 40 hires in 18 months across infrastructure and engineering was an ambitious target, and we needed an agency that could deliver against it without us having to manage the process closely. Digital Waffle did exactly that. The shortlists were focused and we didn't waste time on candidates who weren't right. Every role landed on schedule, and the people they brought in are already contributing to the programmes they're supporting."
"Digital Waffle were a real help when we were building out our engineering team. It was a fast-moving period, with a lot happening across our website and apps, and they quickly understood the kind of people we needed. They supported us with both perm and contract hires, kept things moving and made the whole process feel straightforward. Really easy team to work with."
"We brought Digital Waffle in to run our hiring through the development hub launch, and they've placed over 50 specialists for us across product, development, design and QA in the two years since. The quality has been consistent throughout, which matters across a stretch that long. They've become the team we go to when we need to hire."
"Zak has been a real help in building out our talent pool at Commify. His ability to source candidates across diverse roles has been genuinely impressive. His professionalism and commitment to our recruitment needs have made a real difference to the quality of people we've been able to hire."
Our services
Whether you're building a long-term ML team, bringing in support for a specific modelling initiative or hiring a senior leader to shape your machine learning capability, we’ll help you find the right person.
Meet the team
Our machine learning recruiters understand the modelling, data environments and deployment pressures that shape modern ML teams. They work closely with employers to understand the role, level of ownership and technical environment, making sure every shortlist is relevant from the start.
Salary guides
As machine learning continues to drive data-led decision making, demand for experienced professionals is increasing, and the strongest candidates understand their market value. Without clear salary benchmarks, it’s easy to lose top machine learning talent to competitors.
Our 2027 UK machine learning salary guide provides the insights you need to make competitive offers and secure the right expertise across modelling, data and production environments.
With comparisons to 2026, projections for 2028 and a market overview, it is an essential resource for any business building or scaling machine learning capability.
LATEST INSIGHTS
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FAQs
As a machine learning recruitment agency, we help businesses hire professionals who design, train and improve machine learning models used in real-world applications. This includes sourcing candidates experienced in predictive analytics, statistical modelling and data preparation, ensuring they can work effectively within your existing data and technical environment.
We support hiring across the full machine learning function, from engineers and developers through to senior leadership. This includes:
As well as specialists focused on forecasting, optimisation and applied modelling use cases
When hiring a machine learning engineer, we look for experience across model development, feature engineering and model evaluation. Strong candidates can work with training data, tune models effectively and understand how performance translates into real-world outcomes, rather than focusing purely on theoretical approaches.
Yes. We recruit MLOps Engineers, Deep Learning Engineers, Machine Learning Engineers and specialists working across NLP, computer vision and production ML. Depending on the role, we look for experience with Python, PyTorch or TensorFlow, model deployment, monitoring, pipelines and cloud infrastructure.
Most machine learning professionals work with Python and libraries such as pandas, NumPy and scikit-learn, alongside SQL-based data environments. Depending on the role, this may extend to cloud platforms such as AWS, Azure or Google Cloud, as well as tools used for experiment tracking and managing model performance over time.
Machine learning focuses on how models are developed, trained and improved using data, including techniques such as regression, classification and clustering. Artificial intelligence is broader and relates to how those models are applied within systems and products. Hiring for machine learning is therefore more focused on modelling techniques and data-driven performance.
Machine learning talent is difficult to hire because experienced professionals are typically working on complex modelling problems and are rarely actively applying for roles. Many organisations are also still developing their data quality, governance and infrastructure, which can make roles less attractive to candidates used to more mature environments.
Machine learning hires can struggle when there is a gap between modelling work and how it is used within the business. This can include unclear ownership, limited access to reliable data or a lack of processes for validating and maintaining models over time. We help ensure roles are aligned to environments where models can deliver measurable impact.
Get in touch
If you're building a machine learning team or hiring for a key machine learning role, our recruitment team can help.
Share a few details about the position and we’ll be in touch to discuss your hiring requirements and the type of machine learning expertise you need.
Prefer to talk? Call us on 0121 517 0357.
