Career coaching · London
Everyone wants to work in AI. Few know how to position themselves well. Here is how — from someone who hires AI engineers.
Many candidates with a similar stack — hard to stand out
Academic projects but no production experience — and no idea how to present that
Unclear on the difference between ML Engineer, AI Engineer, Research Scientist and MLOps
LLM and GenAI experience that is not written up as real cases
Not knowing which UK companies genuinely build with AI versus just talk about it
A CV overloaded with maths and academic language that recruiters cannot follow
Python — essential, plus PyTorch or TensorFlow
MLOps: MLflow, Docker, CI/CD for models, drift monitoring
Cloud: AWS SageMaker, GCP Vertex AI or Azure ML
LLM / GenAI experience: RAG, fine-tuning, prompt engineering, agents, evaluation — in high demand right now
Production cases — even self-built ones, documented on GitHub with metrics
Explaining technical decisions to non-technical audiences
The market is shifting from building models to shipping reliable AI products. From the hiring side, what stands out:
Junior
£40–55k
Middle
£60–85k
Senior
£90–130k+
AI start-ups and Big Tech in London pay well above market
I work with AI and ML engineers — sharpening your positioning, writing up your cases and getting you into the UK market. Sessions in English or Russian.