Senior AI Engineer

Harnham
London, UK
9 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
£90,000.0 - £120,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Speech Recognition Large Language Models Generative AI Pandas HuggingFace Speech Synthesis

Job description

As a Senior AI Engineer you will join a high-impact AI team focused on developing and deploying advanced generative AI solutions.

Specifically, you can expect to be involved in the following:

  • Building and deploying LLM-powered applications from prototype through to production
  • Fine-tuning large language models for specific use cases and content requirements
  • Designing, curating, and managing datasets for model training and evaluation
  • Developing and optimising Retrieval-Augmented Generation (RAG) pipelines
  • Creating evaluation frameworks and quality metrics for AI model performance
  • Implementing human-in-the-loop feedback systems to improve outputs
  • Supporting AI-driven features such as summarisation, personalisation, and real-time content generation
  • Exploring speech and audio technologies, including text-to-speech solutions
  • Collaborating closely with product, engineering, and design teams to deliver innovative AI experiences
  • Contributing to experiments involving multimodal AI across text, image, and audio

Requirements

The successful Senior AI Engineer will have the following skills and experience:

  • Strong commercial experience building LLM or NLP-based systems
  • Hands-on experience with platforms such as OpenAI, Claude, Gemini, Cohere, Mistral, or Hugging Face
  • Expertise in fine-tuning techniques, including supervised fine-tuning and prompt optimisation
  • Strong understanding of RLHF, RLAIF, and preference modelling approaches
  • Advanced Python development skills
  • Experience with tools and frameworks such as LangChain and Hugging Face Transformers
  • Familiarity with data tooling including Pandas, DVC, and Weights & Biases
  • Experience evaluating model performance using both quantitative and qualitative metrics
  • Knowledge of speech technologies, including speech-to-text and text-to-speech solutions
  • Strong communication and stakeholder management skills
  • Comfortable working in a fast-paced, experimental environment

About the company

They are a well-established international organisation with a strong reputation for delivering trusted products and services to a global audience. Operating across multiple markets, they are investing heavily in AI innovation and building a dedicated team focused on exploring the next generation of intelligent products. Their environment combines technical excellence, experimentation, and a commitment to responsible AI development.

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