Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design, build, and scale AI systems for the beauty industry.
- Company: Renude, an award-winning tech company transforming customer support with AI.
- Benefits: Competitive pay, remote work, flexible hours, and a focus on personal growth.
- Why this job: Join a dynamic team and make a real impact in AI-powered beauty solutions.
- Qualifications: 4+ years in machine learning and experience with conversational AI.
- Other info: Work autonomously in a fast-paced startup environment with cutting-edge technologies.
The predicted salary is between 36000 - 60000 £ per year.
About Renude
Renude builds AI-powered software for the beauty industry, helping brands deliver personalised, expertise-focused customer support through intelligent digital agents. Our technology powers e-commerce experiences including: skin analysis, product recommendation and LLM-based chat. We’ve been awarded by CEW, Beauty Innovation Awards, Tech Nation and more, and have raised over $3M from leading tech investors. Our team combines tech, formulation, dermatology, e-commerce and sales expertise.
We’re looking for a mid-senior (4+ years experience) Machine Learning Engineer to help design, build, and scale our production ML systems with ownership from experimentation through to deployment. You’ll work end to end on LLM-powered conversational agents and support the training, optimisation, and deployment of computer vision models that power real customer interactions.
What We Offer
- Train, evaluate and deploy agentic AI systems and computer vision models for real-world use
- Collaborate with product and engineering to integrate ML systems into user-facing features
- Develop and deploy production-quality machine learning frameworks, while maintaining robust MLOps pipelines
- Stay up-to-date with the latest advancements in AI, conduct research, and explore innovative techniques
- Influence key decisions on architecture and implementation of scalable, reliable, and cost-effective engineering solutions
What We’re Looking For
Must-Haves:
- 4+ years experience writing production ready code for machine learning systems
- 2+ years experience developing conversational AI, RAG, agentic systems or LLM-based products
- Familiarity with RAG orchestration frameworks such as LangChain or LlamaIndex
- 2+ Experience with production optimisation for RAG systems, including latency, token cost control, context window constraints, monitoring and prompt versioning
- Strong Python skills and experience with PyTorch, TensorFlow or Keras
- Exposure to MLOps practices and hands‑on experience with SageMaker and/or Vertex AI
- Bachelor's degree in a technical field such as computer science or years of equivalent experience
- Comfortable working autonomously and taking ownership in a fast-moving, remote, startup environment
Nice-to-Haves:
- Masters or advanced degree in artificial intelligence, machine learning, natural language processing, computer vision, or related field
- 2+ years experience training and optimising computer vision models
- Proficiency working with vector stores, data chunking, embeddings, retrieval, ranking and recommendation systems
- Experience with Django or similar Python web frameworks
- Familiarity with Docker and containerised development
- Exposure to CI/CD pipelines and infrastructure-as-code
What We Offer
- Competitive compensation (based on experience and location)
- Remote-friendly culture with flexible working hours
- Opportunity to work with cutting edge technologies
- High ownership and real technical influence
- A supportive team that values product excellence and personal growth
Machine Learning Engineer (Mid-Senior, Remote) - Renude in Leeds employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer (Mid-Senior, Remote) - Renude in Leeds
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend virtual meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to conversational AI or computer vision. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and approach real-world problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Renude.
We think you need these skills to ace Machine Learning Engineer (Mid-Senior, Remote) - Renude in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine learning systems and conversational AI. We want to see how your skills align with what we’re looking for, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about working with us at Renude and how your background makes you a perfect fit for the role. Keep it engaging and personal.
Showcase Your Projects: If you’ve worked on any cool ML projects, make sure to mention them! Whether it’s a personal project or something from your previous job, we love seeing practical applications of your skills.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!
How to prepare for a job interview at Jobster
✨Know Your Stuff
Make sure you brush up on your machine learning fundamentals, especially around conversational AI and RAG systems. Be ready to discuss your past projects in detail, particularly any experience with frameworks like LangChain or LlamaIndex.
✨Showcase Your Code
Prepare to share examples of your production-ready code. If you’ve worked with Python, PyTorch, or TensorFlow, have some snippets handy that demonstrate your skills in building and optimising ML systems.
✨Understand the Company’s Tech
Familiarise yourself with Renude's products and how they leverage AI in the beauty industry. Being able to discuss how your skills can directly contribute to their goals will show that you’re genuinely interested in the role.
✨Ask Smart Questions
Prepare insightful questions about their MLOps practices or how they integrate ML systems into user-facing features. This not only shows your interest but also your understanding of the challenges they face in a fast-paced startup environment.
