At a Glance
- 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.
- Other info: Fast-paced startup environment with a focus on innovation and personal development.
- 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.
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 have 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 are 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 will 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) in Altrincham employer: Renude
Renude is an exceptional employer that fosters a remote-friendly culture, allowing for flexible working hours while providing competitive compensation. Our team thrives on collaboration and innovation, offering employees the chance to work with cutting-edge technologies in the beauty industry, all while supporting personal growth and technical influence in a fast-paced startup environment.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer (Mid-Senior, Remote) in Altrincham
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Renude.
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We think you need these skills to ace Machine Learning Engineer (Mid-Senior, Remote) in Altrincham
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Renude, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Renude. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Renude
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Renude!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
