At a Glance
- Tasks: Lead AI/ML projects and develop cutting-edge machine learning systems.
- Company: Top consultancy firm working on innovative insurance sector projects.
- Benefits: Competitive daily rate, hybrid work model, and opportunity to lead impactful projects.
- Other info: Work in a collaborative environment with opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of AI in the insurance industry.
- Qualifications: Proven experience in machine learning engineering and strong Python skills.
The predicted salary is between 138250 - 138250 € per year.
RecOps is partnered with a leading consultancy to support an AI/Machine Learning project for one of their end clients in the insurance sector. This role requires 1 day per week onsite in Central London.
Key Skills required:
- Strong experience as a Lead Machine Learning Engineer, Lead ML Engineer or Senior MLE with technical leadership experience.
- Excellent hands-on Python engineering skills, with strong fundamentals across OOP, async/concurrency, decorators, design patterns and production coding standards.
- Comfortable building and debugging Python systems without heavy reliance on AI tooling, frameworks or Internet-based support.
- Experience designing and building clean, well-tested, production-quality AI/ML systems from scratch.
- Strong experience with testing, validation, TDD and Python unit testing, ideally using pytest.
- Experience leading the deployment and life cycle management of ML/AI models in secure or restricted production environments.
- Strong GenAI/LLM experience, including RAG pipelines, embeddings, vector databases, agentic workflows and model evaluation.
- Ability to compare models and approaches, explain trade-offs, and choose the right model/architecture for the use case.
- Understanding of LLM application risks, including hallucination detection, output validation, prompt injection and jailbreak mitigation.
Lead Machine Learning Engineer - £575 - Inside IR35 - London Hybrid employer: RecOps
At RecOps, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our London-based team enjoys the flexibility of a hybrid working model, alongside competitive daily rates and opportunities for professional growth in the rapidly evolving field of AI and Machine Learning. Join us to be part of a forward-thinking consultancy that values your expertise and supports your career development in a thriving industry.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Machine Learning Engineer - £575 - Inside IR35 - London Hybrid
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and Machine Learning space. Attend meetups or webinars, and don’t be shy about asking for introductions. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving Python and ML systems. This is your chance to demonstrate your hands-on experience and technical leadership. Make sure it’s easy to access and share!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with TDD, model evaluation, and deployment strategies. Practise explaining complex concepts in simple terms – it shows you really understand your stuff!
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities that match your skills. Plus, applying directly can sometimes give you an edge over other candidates. Don’t miss out on your dream role – get your application in today!
We think you need these skills to ace Lead Machine Learning Engineer - £575 - Inside IR35 - London Hybrid
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience as a Lead Machine Learning Engineer. We want to see your hands-on Python skills and any leadership roles you've had, so don’t hold back on showcasing those!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you're the perfect fit for this role and how your experience aligns with the key skills mentioned in the job description. Keep it engaging and personal.
Showcase Your Projects:If you've designed and built AI/ML systems from scratch, we want to hear about it! Include specific examples of your work, especially those that demonstrate your testing and validation skills.
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’re considered for this exciting opportunity!
How to prepare for a job interview at RecOps
✨Know Your Tech Inside Out
Make sure you’re well-versed in the key skills mentioned in the job description. Brush up on your Python engineering skills, especially around OOP, async/concurrency, and design patterns. Be ready to discuss how you've built and debugged Python systems without relying heavily on AI tools.
✨Showcase Your Leadership Experience
As a Lead Machine Learning Engineer, you'll need to demonstrate your technical leadership. Prepare examples of how you've led teams or projects, particularly in designing and deploying ML/AI models. Highlight your experience with TDD and unit testing, and be ready to discuss how you ensure production-quality standards.
✨Prepare for Technical Questions
Expect in-depth technical questions about GenAI/LLM, RAG pipelines, and model evaluation. Be prepared to explain trade-offs between different models and architectures. Practise articulating your thought process clearly, as this will show your depth of understanding and ability to communicate complex ideas.
✨Understand the Risks Involved
Familiarise yourself with the risks associated with LLM applications, such as hallucination detection and prompt injection. Be ready to discuss how you would mitigate these risks in a production environment. This shows that you not only have the technical skills but also a strong awareness of the implications of your work.
