Lead Machine Learning Engineer - GenAI

Codesearch AI
null
15 months ago
Applications closed

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An unsolved problem in a multi-billion-pound industry


A cash positive, revenue generating start-up with signed commitments


An opportunity to lead the build of a first-of-its kind AI platform utilising SOTA tools and techniques


We are looking for a Lead Machine Learning Engineer – GenAI to build a field-changing, cutting-edge AI platform. In an industry filled with complexity and inefficiency, there’s an opportunity to create an intelligence platform that doesn’t only eliminate waste, but ultimately impacts people in key aspects of everyday life.


Our client is ahead of the curve and fully invested in taking their approach and vision to the next level.


What You’ll Be Doing


Building a multi-model, cutting edge intelligence platform integrating text and image data with state-of-the-art generative models, alongside traditional techniques


Designing a data and document ingestion strategy for multi-format data


Selecting the most appropriate models and approaches, RAG techniques and tools


Design and execute the technical roadmap and architecture to build a scalable platform


Develop and fine-tune LLMs and design multi-step Agentic workflows


Implement feedback loops for model performance evaluation


Provide input on and oversee the development of Robust LLMOps & DevOps practices


Lead and grow the ML team, mentoring and hiring engineers to scale the platform


80/20 split of hands-on work, weighted toward building


What You’ll Need


MSc or PhD in Machine Learning, AI, Computer Science or a related field (or equivalent experience)


Strong foundations in NLP with ideally a minimum of 5 years’ industry experience in AI, Machine

Learning, Reinforcement Learning or similar field


Have experience building and scaling AI-first products, with technical leadership experience, ideally in a start-up environment


Industry experience with LLMs (fine-tuning, optimising, performance evaluation) and Retrieval-


Augmented Generation (RAG) techniques including document linking.


Experience with knowledge graphs and vector databases


Strong experience with Python and modern AI development frameworks


Expertise in MLOps/LLMOps/DevOps including deploying AI solutions at scale.


Knowledge of traditional databases and scalable architecture design


Person - Whilst you’ll be working on cutting edge techniques, we are looking for people that build according to the need


You’ll build with urgency but be pragmatic in your approach


Location - Ideally this role is onsite in Dubai but we will consider remote working from the UK or Europe for the ideal candidate

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Where to advertise AI jobs UK in 2026: the specialist boards and communities that reach AI engineers, ML scientists and applied research talent in the UK. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.