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- Tasks: Develop and optimize AI pipelines, work with LLMs, and deploy models on AWS.
- Company: Join Better Placed Ltd, a top AI start-up transforming manufacturing with innovative tech.
- Benefits: Work in a global team, gain hands-on experience, and advance your career in AI.
- Why this job: Be part of a cutting-edge company making real impact in the AI industry.
- Qualifications: 1-3 years experience, solid Python skills, and familiarity with ML and NLP required.
- Other info: Perfect for mid-level or juniors ready to step up in their careers.
The predicted salary is between 36000 - 60000 £ per year.
Better Placed Ltd – A Sunday Times Top 10 Employer in 2023!
This is an AI start-up that specializes in integrating AI into manufacturing processes. This industry is ripe for tech innovation, and their AI product is adding real value with several large companies already using it.
You’ll be working on perfecting their AI product and getting involved with their LLMs and ML systems. This role is a blend of Machine Learning and Data Science, providing the chance to work with an experienced team of engineers.
This is a global team distributed around the world, making a significant impact in their niche utilization of AI.
What you’ll do:
- Develop and optimize RAG pipelines to enhance LLM-driven troubleshooting.
- Work with PyVector to store and retrieve relevant data efficiently.
- Implement vector embedding models to power retrieval and improve accuracy.
- Deploy and scale models on AWS.
- Fine-tune and evaluate LLMs for task-specific reasoning and accuracy.
- Learn and progress your career in an established team of global experts.
What you’ll need:
- 1-3 years of commercial experience, suitable for mid-level or junior looking to step up.
- A Bachelor’s or Master’s degree from a top university.
- Solid Python development skills, with experience in machine learning and/or NLP.
- Experience with RAG architectures and knowledge retrieval techniques.
- Familiarity with PyVector for vector search and retrieval.
- Experience using vector embedding models.
- Experience working with AWS for cloud-based ML deployment.
- Knowledge of LangChain, LlamaIndex, or other RAG frameworks.
If you’re looking to work for a unique AI start-up that is disrupting a typically antiquated industry with a cutting-edge product, then apply with your CV or reach out directly to Ben Greensmith.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
Software Development
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Machine Learning Engineer employer: Better Placed Ltd - A Sunday Times Top 10 Employer in 2023!
Contact Detail:
Better Placed Ltd - A Sunday Times Top 10 Employer in 2023! Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Familiarize yourself with the latest advancements in machine learning and natural language processing. This will not only help you understand the technologies used at Better Placed Ltd but also demonstrate your passion for the field during interviews.
✨Tip Number 2
Engage with the AI community online, especially around topics like RAG architectures and vector embedding models. Participating in discussions or contributing to open-source projects can showcase your expertise and commitment to potential employers.
✨Tip Number 3
Make sure to highlight any experience you have with AWS and cloud-based ML deployment in your conversations. Being able to discuss specific projects where you've utilized these skills can set you apart from other candidates.
✨Tip Number 4
Network with professionals in the AI and tech industry, especially those who work in startups. They can provide valuable insights into the company culture at Better Placed Ltd and may even refer you internally, increasing your chances of landing the job.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in machine learning, Python development, and any specific projects related to LLMs or NLP. Use keywords from the job description to align your skills with what the company is looking for.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and how your background fits the role. Mention specific experiences that demonstrate your ability to develop and optimize RAG pipelines or work with AWS, as these are crucial for the position.
Showcase Relevant Projects: If you have worked on projects involving vector embedding models or RAG architectures, be sure to include them in your application. Describe your role and the impact of your contributions to highlight your hands-on experience.
Highlight Continuous Learning: Mention any courses, certifications, or self-study you've undertaken related to machine learning, NLP, or cloud deployment. This shows your commitment to staying updated in a rapidly evolving field and aligns with the company's innovative spirit.
How to prepare for a job interview at Better Placed Ltd - A Sunday Times Top 10 Employer in 2023!
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, machine learning, and NLP. Highlight specific projects where you've implemented RAG architectures or worked with vector embedding models, as this will demonstrate your hands-on expertise.
✨Understand the Company’s Product
Research Better Placed Ltd and their AI product thoroughly. Understand how their technology integrates into manufacturing processes and be ready to discuss how you can contribute to enhancing their LLM-driven troubleshooting.
✨Familiarize Yourself with AWS
Since deploying and scaling models on AWS is a key part of the role, make sure you can talk about your experience with cloud-based ML deployment. Be ready to discuss any challenges you've faced and how you overcame them.
✨Prepare Questions for the Interviewers
Think of insightful questions to ask about the team dynamics, the company's future projects, and how they measure success in their AI initiatives. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
