At a Glance
- Tasks: Design and build AI/ML systems and automated pipelines for the insurance sector.
- Company: Join RecOps, a leader in AI/ML innovation.
- Benefits: Earn £575 per day with flexible remote work options.
- Other info: Work onsite in Central London just one day a week.
- Why this job: Lead exciting projects that shape the future of insurance technology.
- Qualifications: Strong Python skills and experience in leading ML projects.
The predicted salary is between 150000 - 150000 € per year.
RecOps is seeking a Lead Machine Learning Engineer to support an AI/ML project in the insurance sector. The role offers £575 per day, inside IR35, and requires 1 day per week onsite in Central London.
The ideal candidate has strong Python engineering skills, along with experience in leading ML projects and managing production-quality systems.
Responsibilities include:
- Designing AI/ML systems from scratch
- Building automated pipelines
Lead ML Engineer - GenAI, MLOps & Production Systems employer: RecOps
RecOps is an exceptional employer that fosters a dynamic work culture, encouraging innovation and collaboration among its team members. With a focus on employee growth, we offer ample opportunities for professional development in the rapidly evolving field of AI and machine learning. Located in the heart of Central London, our team enjoys the unique advantage of working in a vibrant city while contributing to impactful projects in the insurance sector.
StudySmarter Expert Advice🤫
We think this is how you could land Lead ML Engineer - GenAI, MLOps & Production Systems
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI/ML field and let them know you're on the lookout for opportunities. You never know who might have a lead or can put in a good word for you.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your best ML projects, especially those involving Python and production systems. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with designing AI/ML systems and managing automated pipelines – this is your chance to shine!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Lead ML Engineer - GenAI, MLOps & Production Systems
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your Python engineering skills and experience in leading ML projects. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this Lead ML Engineer role. Share specific examples of your work with AI/ML systems and automated pipelines to grab our attention.
Showcase Your Leadership Experience:Since this role involves leading projects, make sure to highlight any previous leadership roles or experiences. We love to see how you've managed teams or projects, especially in production-quality systems.
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 don’t miss out on any important updates from us during the process!
How to prepare for a job interview at RecOps
✨Know Your Python Inside Out
Since the role requires strong Python engineering skills, make sure you brush up on your Python knowledge. Be prepared to discuss your experience with Python in detail, including any libraries or frameworks you've used in ML projects.
✨Showcase Your Leadership Experience
As a Lead ML Engineer, you'll need to demonstrate your ability to lead projects. Prepare examples of past projects where you took charge, highlighting how you managed teams and ensured production-quality systems.
✨Understand AI/ML System Design
Familiarise yourself with the process of designing AI/ML systems from scratch. Be ready to discuss your approach to building automated pipelines and how you tackle challenges in system design.
✨Research the Insurance Sector
Since this role is focused on the insurance sector, do some homework on how AI/ML is being applied in this field. Being able to discuss relevant trends or case studies will show your genuine interest and understanding of the industry.
