Lead the evolution of AI-powered marketing technology as a Senior AI Engineer. You'll own the design, training, and deployment of large language models, building scalable systems that solve complex natural language challenges in real-world applications.
What You'll Do
- Architect, train, and fine-tune LLMs to power next-generation NLP solutions within advertising and marketing platforms.
- Build and maintain production-grade AI systems that prioritize performance, reliability, and scalability.
- Optimize model accuracy and efficiency while actively addressing data quality, bias, and transparency concerns.
- Stay ahead of advancements in AI research, experimenting with novel techniques to expand what's possible with language models.
- Partner with engineers and product teams to define and deliver high-impact AI features that meet business objectives.
- Mentor team members and promote best practices in machine learning development and deployment.
- Integrate emerging tools and methodologies to continuously improve system capabilities and development workflows.
What We're Looking For
- Proven experience in AI or machine learning roles, particularly with deploying LLMs in production environments.
- Deep understanding of machine learning theory and practical NLP implementation.
- Extensive background in training, evaluating, and deploying ML models using Python and modern ML frameworks.
- Strong problem-solving skills with a focus on data preprocessing, feature engineering, and model validation.
- Track record of delivering innovative AI solutions and thinking creatively to overcome technical challenges.
- Ability to communicate technical concepts clearly to non-technical collaborators.
- Leadership experience guiding technical projects and supporting junior team members.
Environment & Expectations
You'll join a high-performing team building at the intersection of AI and marketing technology. Success here requires resourcefulness, attention to detail, and a proactive mindset. You should thrive in ambiguity, adapt quickly to new challenges, and take ownership of outcomes. This role offers significant autonomy and growth potential in a merit-driven culture.
Work is based in a hybrid model within the UK, with flexibility for remote work. The ideal candidate values craftsmanship, collaboration, and continuous learning in fast-moving technical environments.
