AI, Machine Learning & Deep Learning

Specialists in AI and Machine Learning Recruitment

Whether you’re a start-up pioneering new AI products or an enterprise embedding machine learning into core systems, we support you in building high-performing technical teams for AI and Machine Learning. Our expertise covers a wide spectrum of AI & Machine Learning jobs, including Machine Learning Engineers, Data Scientists, NLP Specialists, MLOps Engineers, and AI Researchers. We understand the unique blend of technical depth and product thinking required to thrive in this space.

Technical stack: Python, TensorFlow, PyTorch, Kubernetes, GCP/AWS, SQL.
Specialist roles: ML Engineers (+70%), Computer Vision (+40%), NLP, Generative AI specialist.
Data preparation & feature engineering: Expertise in data wrangling, handling unstructured data, and crafting features that improve model accuracy and performance.
Model deployment & MLOps: CI/CD for ML, model monitoring, scalability, version control (MLflow, Kubeflow, SageMaker).

Hiring Trends

High senior-level demand persists; entry-level roles are slowing amid economic pressures
Organizations across the UK (banking, IT, legal) and US sectors are racing to train workforces in AI, with AI fluency becoming a baseline expectation

Market Demand

In both the UK and US, demand for AI and machine learning talent continues to surge. In the UK, the machine learning market is projected to reach over $3.6 billion by 2025, with rapid growth expected through to 2030.

Job postings for AI-related roles are increasing at a rate more than three times faster than the overall job market, and companies are willing to pay a premium, on average 14% higher salaries, for candidates with AI expertise.

In the US, the landscape is even more aggressive, with around 35,000 AI roles posted in Q1 2025 alone. Median salaries for AI engineers hover around $157,000, with specialist roles in hedge funds and fintech firms reaching as high as $400,000.

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In-Demand Skills

Technical stack: Python, TensorFlow, PyTorch, Kubernetes, GCP/AWS, SQL .
Specialist roles: ML Engineers (+70%), Computer Vision (+40%), NLP, Generative AI specialists
Ethics, integration, and edge-AI roles are also rapidly emerging

Hiring Trends

High senior-level demand persists; entry-level roles are slowing amid economic pressures
Organizations across the UK (banking, IT, legal) and US sectors are racing to train workforces in AI, with AI fluency becoming a baseline expectation