At a Glance
- Tasks: Scale AI architectures and develop advanced machine learning models for e-commerce.
- Company: Wilgot, a top AI startup revolutionising e-commerce with innovative technology.
- Benefits: Remote-first work, generous equity package, and top-tier tech budget.
- Why this job: Join a high-impact team solving real-world AI challenges for global brands.
- Qualifications: Extensive ML engineering experience and deep understanding of LLM architecture.
- Other info: Flexible work environment with significant influence on technical direction.
The predicted salary is between 48000 - 72000 £ per year.
About Wilgot
Wilgot is building the category-defining Agentic Product Optimization (APO) platform for e-commerce. We are addressing the "adapt-or-die" reality that brands face as search shifts from keyword-matching to AI-driven discovery in interfaces like ChatGPT and Google AI Mode. Recognized by Dawn Capital as one of the top AI startups redefining e-commerce, our platform automates the repositioning of product catalogs for global, recognized brands, ensuring every product finds its buyer through intelligent content.
What we do
Wilgot provides the intelligence layer that transforms "thin" metadata into Intelligent Content optimized for the era of Agentic Commerce.
Our Core AI Loop:
- Discover: Leverage AI and data analysis (customer queries, first-party data, Google, ChatGPT, Perplexity) across 100+ markets to identify hidden demand, language attributes, and purchase signals. This phase focuses on turning raw data into clear, actionable content strategy.
- Generate: Build and deploy systems that create high-quality, structured, and intent-aligned product content (titles, descriptions, attributes, FAQs) natively in 100+ languages. The goal is to optimize content for both user conversion and interpretation/recommendation by AI search systems.
- Iterate: Design and manage a continuous feedback and optimization system. Monitor product performance across major search platforms, then programmatically regenerate and improve content based on visibility, engagement, and conversion data to maintain optimal relevance and discoverability.
The Role
Having validated our proprietary AI engine, we are now scaling it into a sophisticated, autonomous agentic platform. As a Senior AI Engineer, you will transition from AI theory to solving tangible, high-scale engineering challenges. You will work alongside our founding team and our Founding AI Scientist (PhD in Reinforcement Learning) to translate cutting-edge research into enterprise-scale production features.
Key Responsibilities
- Scale Agentic Architectures: Advance existing workflows into multi-agent systems capable of autonomous reasoning, state management, and self-correction.
- Model Development & Fine-Tuning: Lead the full lifecycle, from designing training strategies and curating high-quality datasets to executing model fine-tuning.
- Advanced Feature Engineering: Build pipelines that leverage LLMs to extract latent product attributes and consumer intent signals from unstructured data.
- System Observability & Reliability: Implement evaluation frameworks to monitor model performance, hallucination rates, and direct business impact.
- Technical Leadership: Influence our technical stack and help define the engineering culture of a rapidly scaling startup.
Requirements
- Technical Depth: Extensive ML engineering experience with a deep understanding of LLM architecture, training and fine-tuning (you don't just call APIs). You know how to use AI to generate features that drive performance, moving beyond basic metadata into deep semantic understanding.
- Agentic Systems: Proven experience with agentic frameworks (e.g., LangGraph, PydanticAI) and managing memory and tool-calling in production.
- Engineering Mindset: Ability to write clean, testable Python and familiarity with modern MLOps stacks.
- Product Experience: Experience shipping ML systems in production for real users, with an experimental mindset and high bar for AI ethics.
Why Join Wilgot?
- Practical AI at Scale: Solve real-world, high-scale AI problems for global brands.
- High Impact Team: Join a small, lean, high-growth team. You'll have significant influence on the technical stack and trajectory with no bureaucracy. You aren't joining a machine, you are part of building it.
- Flexible Remote-First: Work remotely with autonomy, prioritising deep work. Or from one of our hubs in Stockholm or London. We promote in-person collaboration with regular full-team offsites.
- Generous Ownership: Receive a generous equity package, ensuring true ownership and a significant stake in the company's value as we scale globally.
- Your choice of equipment: We provide a top-tier tech budget for your preferred hardware and home-office setup, ensuring you have the best tools for the job.
Senior AI Engineer - Remote-first (Stockholm/London hubs) in Bradford employer: Wilgot
Contact Detail:
Wilgot Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer - Remote-first (Stockholm/London hubs) in Bradford
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Wilgot or similar companies. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or projects that highlight your AI engineering prowess, make sure to share them during interviews or networking events. It’s all about demonstrating what you can bring to the table.
✨Tip Number 3
Prepare for technical challenges! Brush up on your ML concepts and be ready to tackle real-world problems during interviews. Practice coding challenges and system design questions to showcase your expertise.
✨Tip Number 4
Apply through our website! We love seeing candidates who take the initiative. Plus, it gives you a chance to stand out from the crowd and show your genuine interest in joining the Wilgot team.
We think you need these skills to ace Senior AI Engineer - Remote-first (Stockholm/London hubs) in Bradford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior AI Engineer role. Highlight your ML engineering experience and any work with agentic frameworks to catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and how you can contribute to our mission at Wilgot. Share specific examples of your past projects that demonstrate your technical depth and innovative mindset.
Showcase Your Projects: If you've worked on relevant ML systems or have experience with LLMs, don’t hesitate to include links to your projects or GitHub. We love seeing practical applications of your skills in action!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the quickest way for us to see your application and get the ball rolling!
How to prepare for a job interview at Wilgot
✨Know Your AI Stuff
Make sure you brush up on your knowledge of LLM architecture and agentic frameworks. Be ready to discuss your experience with model development and fine-tuning, as well as any specific projects where you've tackled high-scale engineering challenges.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've approached complex problems in the past. Think about times when you've had to implement evaluation frameworks or improve model performance, and be ready to explain your thought process and the impact of your solutions.
✨Demonstrate Your Engineering Mindset
Be ready to talk about your coding practices, especially in Python. Highlight your experience with clean, testable code and any familiarity you have with modern MLOps stacks. This will show that you not only understand AI but can also build robust systems.
✨Align with Their Vision
Research Wilgot's mission and values, particularly their focus on practical AI at scale and high-impact teamwork. Be prepared to discuss how your personal goals align with theirs, and why you're excited about contributing to their innovative platform.