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- Tasks: Join us as a Senior ML Product Engineer, driving product strategy and enhancing user experiences.
- Company: Userled is an innovative startup revolutionising B2B marketing with AI-driven solutions.
- Benefits: Enjoy a competitive salary, equity, 25 days holiday, and a cool office in Shoreditch.
- Why this job: Be part of a close-knit team, making impactful tech decisions in a collaborative environment.
- Qualifications: Experience in ML models, Python, FastAPI, and cloud technologies like AWS is essential.
- Other info: We offer sponsorship for tier 2 skilled visa candidates and encourage new perks suggestions.
The predicted salary is between 72000 - 100000 £ per year.
We are looking for strong Product focused Senior ML Engineers that want to make a significant impact across product strategy and will take ownership for a key area of our product and make tech and strategic decisions that deliver world class user experiences.
A little bit about Userled: Currently c30 people, including 10 product engineers and 1 ML Engineer, with plans to continue hiring throughout 2025. Traditional marketing is inefficient. Userled helps B2B teams drive growth with AI-powered, hyper-personalised campaigns across all channels - faster, smarter, and more effective. With rising costs and the end of third-party cookies, now is the time for Generative Marketing. With a Pre-Seed valuation of £22m, we believe we can offer plenty of opportunities for professional growth as we scale to become potentially one of Europe’s Rocket Ships. Our close-knit group of engineers manage everything from design to deployment, continuously improving and scaling our systems. If you prefer to work in collaborative environments that value passion and trust, then you’ll fit right in.
ML Tech Stack
- Backend: Python, FastAPI
- Model Serving: vLLM, LitServe
- Model Development: PyTorch, Transformers, Diffusers
- Agent Development: Pydantic AI
- Cloud: AWS, BigQuery
We’re looking for engineers that want to get involved in building and optimising ML models (PyTorch, Transformers, Diffusers) and developing FastAPI backend services and LLM serving architectures.
We can offer sponsorship for candidates on a tier 2 skilled visa.
Benefits:
- Competitive salary
- Equity in an early-stage tech company on an incredible trajectory - so early employees are financially and emotionally invested in the company.
- 25 days plus local holidays to relax and fuel up!
- Apple hardware and a budget for desk amenities
- Team events in London
- Team off-site in fun places! (We’ve been to Bath and Corfu so far)
- Enhanced parental leave and full Bupa medical cover
- A cool office in central London (Shoreditch/Old Street) with access to a private gym!
- New perks suggestions are strongly encouraged!
Get in touch at mark-userled@findrtech.io
Senior ML Product Engineer - £90-125K + Benefits + Equity - London - Hybrid (3 days in office) employer: Userled
Contact Detail:
Userled Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Product Engineer - £90-125K + Benefits + Equity - London - Hybrid (3 days in office)
✨Tip Number 1
Familiarise yourself with the specific ML tech stack mentioned in the job description, especially Python, FastAPI, and PyTorch. Being able to discuss your experience with these technologies during an interview will show that you're not only qualified but also genuinely interested in the role.
✨Tip Number 2
Research Userled's approach to AI-powered marketing and think about how you can contribute to their mission. Prepare some ideas or examples of how you've previously improved user experiences through ML, as this will demonstrate your alignment with their goals.
✨Tip Number 3
Network with current employees or others in the industry who have experience in similar roles. Engaging with them on platforms like LinkedIn can provide valuable insights into the company culture and expectations, which you can leverage during your discussions.
✨Tip Number 4
Prepare to discuss your experience in collaborative environments, as Userled values teamwork and trust. Think of specific examples where you've successfully worked in a team to solve complex problems, as this will resonate well with their company ethos.
We think you need these skills to ace Senior ML Product Engineer - £90-125K + Benefits + Equity - London - Hybrid (3 days in office)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning and product engineering. Focus on projects where you've made a significant impact, especially those involving Python, FastAPI, or ML model development.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and product strategy. Mention specific experiences that align with Userled's mission and how you can contribute to their growth and success.
Showcase Technical Skills: In your application, emphasise your proficiency with the tech stack mentioned in the job description, such as PyTorch, AWS, and FastAPI. Provide examples of how you've used these technologies in past roles.
Highlight Collaborative Experience: Userled values collaboration, so include examples of how you've worked effectively in teams. Discuss any experiences where you contributed to a project from design to deployment, showcasing your ability to work in a close-knit environment.
How to prepare for a job interview at Userled
✨Understand the Product and Market
Before your interview, make sure to research Userled's product offerings and their position in the market. Understand how their AI-powered campaigns work and be ready to discuss how your skills can contribute to enhancing these products.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with the specific technologies mentioned in the job description, such as Python, FastAPI, and ML frameworks like PyTorch and Transformers. Consider bringing examples of past projects that demonstrate your expertise in these areas.
✨Emphasise Collaboration
Userled values a collaborative environment, so highlight your experience working in teams. Share examples of how you've successfully collaborated with product managers, designers, or other engineers to deliver impactful results.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's future plans, team dynamics, and the challenges they face in the ML space. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
