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- Tasks: Design, build, and scale AI systems for the beauty industry.
- Company: Renude, an award-winning tech company transforming e-commerce with AI.
- Benefits: Competitive pay, remote work, flexible hours, and growth opportunities.
- Why this job: Join a dynamic team and influence cutting-edge AI technology in real-world applications.
- Qualifications: 4+ years in machine learning, strong Python skills, and experience with conversational AI.
- Other info: Fast-paced startup environment with a focus on innovation and personal development.
The predicted salary is between 36000 - 60000 £ per year.
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
- 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
- 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
- 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) in Birmingham employer: Renude
Contact Detail:
Renude Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer (Mid-Senior, Remote) in Birmingham
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend virtual meetups, and connect with current employees at Renude. A personal introduction can make all the difference when it comes to landing that interview.
✨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 you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python skills and familiarising yourself with MLOps practices. Practice coding challenges and be ready to discuss your past projects in detail.
✨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, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Machine Learning Engineer (Mid-Senior, Remote) in Birmingham
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 4+ years of experience in writing production-ready code for machine learning systems. We want to see how you've tackled real-world problems and what impact your work has had!
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific skills and experiences that match our job description. We love seeing how you connect your background to what we do at Renude.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your key achievements and skills stand out without unnecessary fluff.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Renude
✨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, focusing on the challenges you faced and how you overcame them.
✨Showcase Your Code
Prepare to share examples of your production-ready code. If you’ve worked with frameworks like PyTorch or TensorFlow, have a couple of snippets handy that demonstrate your skills. This will show your practical experience and problem-solving abilities.
✨Understand Their Tech Stack
Familiarise yourself with the tools and technologies mentioned in the job description, such as LangChain, Sagemaker, and Docker. Being able to discuss how you've used similar tools or how you would approach using theirs can set you apart.
✨Ask Smart Questions
Prepare thoughtful questions about their current ML systems and future projects. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals. Plus, it’s a great way to demonstrate your knowledge!