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- Tasks: Own and optimize LLM-powered AI solutions in a fast-paced startup.
- Company: Join a high-impact team at the forefront of AI technology.
- Benefits: Enjoy a hybrid work model with flexibility and innovative projects.
- Why this job: Shape groundbreaking AI products and solve real-world challenges.
- Qualifications: Deep Python skills and MLOps experience required; entrepreneurial mindset a plus.
- Other info: This is not just another ML role; it's about making a real impact.
The predicted salary is between 43200 - 72000 £ per year.
Senior Machine Learning Engineer
Industry: Insurtech
Company size: Approximately 200 employees
Working environment: Hybrid (2 days a week in Central London)
Salary: Up to £110K based on experience + bonus
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 Senior 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
Senior Machine Learning Engineer employer: trg.recruitment
Contact Detail:
trg.recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer
✨Tip Number 1
Make sure to showcase your experience with deploying and optimizing LLMs and NLP solutions. Highlight specific projects where you've built scalable ML workflows, especially using AWS or GCP.
✨Tip Number 2
Demonstrate your problem-solving skills by discussing real-world AI challenges you've tackled. Be prepared to share examples that illustrate your ability to turn theoretical knowledge into practical solutions.
✨Tip Number 3
Emphasize your entrepreneurial mindset. Share instances where you've taken initiative or challenged existing ideas, showing that you're a self-starter who thrives in a fast-paced startup environment.
✨Tip Number 4
Since this is a hybrid role, be ready to discuss your flexibility and how you can effectively collaborate with a team both in-office and remotely. Highlight any previous experiences in hybrid work settings.
We think you need these skills to ace Senior Machine Learning Engineer
Some tips for your application 🫡
Understand the Role: Make sure you fully grasp what the Senior Machine Learning Engineer position entails. Focus on the specific responsibilities like deploying LLMs and solving real-world AI challenges. Tailor your application to highlight your relevant experience.
Showcase Your Skills: Emphasize your deep Python expertise and MLOps experience in your CV and cover letter. Provide concrete examples of how you've built and deployed AI solutions at scale, and mention any relevant projects that demonstrate your problem-solving skills.
Highlight Your Entrepreneurial Mindset: In your application, convey your self-starter attitude and ability to challenge ideas. Share instances where you've taken initiative or led projects that had a significant impact, showcasing your entrepreneurial spirit.
Tailor Your Application: Customize your CV and cover letter for this specific role. Use keywords from the job description, such as 'LLM-powered AI solutions' and 'cross-functional collaboration', to ensure your application resonates with the hiring team.
How to prepare for a job interview at trg.recruitment
✨Showcase Your Python Mastery
Be prepared to discuss your deep expertise in Python, especially in areas like multi-threading and decorators. Bring examples of how you've optimized code in previous projects to demonstrate your skills.
✨Highlight MLOps Experience
Discuss your experience with building and deploying AI solutions at scale. Be ready to share specific instances where you’ve successfully managed ML workflows using platforms like AWS or GCP.
✨Demonstrate Problem-Solving Skills
Prepare to tackle real-world AI challenges during the interview. Think of examples where you’ve solved complex problems beyond just model fine-tuning, showcasing your ability to think critically and creatively.
✨Emphasize Your Entrepreneurial Mindset
Convey your self-starter attitude and willingness to challenge ideas. Share experiences where you took initiative in past roles, particularly in shaping products or processes, to align with the company's entrepreneurial spirit.
