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- Tasks: Develop advanced machine learning models and deploy scalable AI systems.
- Company: Join a dynamic insurtech company with around 200 innovative minds.
- Benefits: Enjoy a collaborative environment and the chance to work with cutting-edge AI technology.
- Why this job: Make a real impact on people's lives while shaping the future of AI in your industry.
- Qualifications: Experience with NLP, Python, and cloud services is essential; startup mindset preferred.
- Other info: This is a contract role focused on AI Engineering, not traditional ML.
The predicted salary is between 43200 - 72000 £ per year.
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Direct message the job poster from trg.recruitment
Head of AI & ML Engineering Recruitment @ trg.
Principal Machine Learning Engineer
Industry: Insurtech
Company size: Approximately 200 employees
Are you passionate about building innovative technology solutions using cutting-edge AI? Do you want to play a critical role in shaping products that can make a meaningful impact on people\’s lives?
We\’re looking for an experienced Principal Machine Learning Engineer to join an exciting team that\’s reshaping their industry. This unique opportunity is focused specifically on AI Engineering, rather than traditional ML engineering, with a strong emphasis on LLM Ops.
What you\’ll do:
- Develop and refine advanced machine learning models to solve complex challenges.
- Leverage your NLP expertise to build intelligent solutions, including working with Large Language Models (LLMs).
- Design and deploy scalable, production-ready AI systems.
- Collaborate with product managers, data scientists, developers, and DevOps teams in a dynamic, cross-functional environment.
- Implement CI/CD practices, ensuring seamless and reliable model deployments.
What you bring:
- Experience within a startup with a self-starter mindset.
- Proven track record with NLP applications and transformer-based models like BERT or GPT.
- Advanced proficiency in Python, including PyTorch, Hugging Face Transformers, Pandas, and scikit-learn.
- Strong understanding of cloud services (preferably AWS) and experience with Docker, Kubernetes, MLFlow, Kubeflow, or similar MLOps tools.
Interested? Apply below or email me at mmatysik@trg-uk.com.
Seniority level
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Seniority level
Mid-Senior level
Employment type
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Employment type
Contract
Job function
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Industries
Software Development
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Principal Machine Learning Enigineer employer: trg.recruitment
Contact Detail:
trg.recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Machine Learning Enigineer
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and NLP, especially focusing on Large Language Models like BERT and GPT. This knowledge will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 2
Engage with the AI and ML community by attending meetups or webinars. Networking with professionals in the industry can provide valuable insights and potentially lead to referrals for the position.
✨Tip Number 3
Showcase your hands-on experience with MLOps tools like Docker, Kubernetes, and MLFlow through personal projects or contributions to open-source. This practical experience can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your previous work in a startup environment, highlighting your self-starter mindset and ability to collaborate in cross-functional teams. This aligns well with the company culture and expectations.
We think you need these skills to ace Principal Machine Learning Enigineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with NLP applications and transformer-based models like BERT or GPT. Emphasise your proficiency in Python and relevant tools such as PyTorch and Hugging Face Transformers.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and your self-starter mindset. Mention specific projects where you've developed advanced machine learning models or deployed scalable AI systems.
Showcase Relevant Experience: In your application, detail your experience within a startup environment and your understanding of cloud services, particularly AWS. Highlight any work with Docker, Kubernetes, or MLOps tools to demonstrate your technical expertise.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any errors. Ensure that your language is clear and professional, and that you’ve addressed all the key requirements mentioned in the job description.
How to prepare for a job interview at trg.recruitment
✨Showcase Your NLP Expertise
Be prepared to discuss your experience with natural language processing and transformer-based models like BERT or GPT. Highlight specific projects where you've successfully implemented these technologies, as this will demonstrate your capability in the role.
✨Demonstrate Your Technical Skills
Make sure to brush up on your Python skills, especially with libraries such as PyTorch, Hugging Face Transformers, Pandas, and scikit-learn. You might be asked to solve a coding problem or explain your approach to building machine learning models during the interview.
✨Understand CI/CD Practices
Since the role involves implementing CI/CD practices for model deployments, be ready to discuss your experience with these processes. Familiarise yourself with tools like MLFlow and Kubeflow, and be prepared to explain how you’ve used them in past projects.
✨Prepare for Cross-Functional Collaboration
This position requires collaboration with various teams, so think of examples where you've worked effectively in a cross-functional environment. Be ready to discuss how you communicate complex technical concepts to non-technical stakeholders.
