At a Glance
- Tasks: Lead AI/ML projects, build and debug Python systems, and manage model lifecycles.
- Company: Top consultancy firm driving innovation in the insurance sector.
- Benefits: Competitive daily rate, hybrid work model, and opportunities for professional growth.
- Other info: Work in a dynamic environment with a focus on collaboration and innovation.
- Why this job: Join a cutting-edge project and make a real impact in AI and machine learning.
- Qualifications: Strong Python skills, ML experience, and leadership capabilities required.
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 is £575 per day, inside IR35, and 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.
- Experience building automated ML pipelines across training, testing, deployment, monitoring and rollback.
- Strong understanding of MLOps, CI/CD, model versioning, experiment tracking and production observability.
- Good cloud, Docker and/or Kubernetes experience.
- Ability to lead technical direction while remaining hands-on with code, working closely with data scientists, software engineers, DevOps teams and stakeholders.
If the above sounds like you, please apply now for immediate consideration.
Lead Machine Learning Engineer - £575 - Inside IR35 - London Hybrid employer: RecOps
As a leading consultancy in the heart of London, we offer an exceptional work environment that fosters innovation and collaboration. Our hybrid model allows for flexibility while providing opportunities for professional growth through engaging AI/Machine Learning projects in the insurance sector. Join us to be part of a dynamic team where your expertise will be valued, and you can make a meaningful impact on cutting-edge technology solutions.
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. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving Python and ML systems. We recommend using platforms like GitHub to share your code and demonstrate your hands-on experience. It’s a great way to stand out!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with MLOps, CI/CD, and model evaluation. We suggest doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the easiest way to get noticed by recruiters. Plus, we’re always looking for talented individuals like you to join our team. So, hit that apply button and let’s get you in the door!
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! Use it to explain why you're the perfect fit for this role. Mention specific projects where you’ve built production-quality AI/ML systems and how you’ve led teams in the past.
Showcase Your Technical Skills:Be sure to include your expertise in MLOps, CI/CD, and any cloud or containerisation experience. We love seeing candidates who can lead technical direction while still being hands-on with code!
Apply Through Our Website:Don’t forget to apply through our website for the best chance of getting noticed! We’re excited to see your application and can’t wait to learn more about you.
How to prepare for a job interview at RecOps
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and the specific technologies mentioned in the job description. Be ready to discuss your experience with OOP, async programming, and production coding standards. Practising coding challenges can help you demonstrate your hands-on abilities.
✨Showcase Your Leadership Experience
As a Lead Machine Learning Engineer, you'll need to highlight your technical leadership experience. Prepare examples of how you've led teams, made architectural decisions, and collaborated with data scientists and DevOps teams. This will show that you can guide projects while still being hands-on.
✨Prepare for Technical Questions
Expect questions about model evaluation, deployment strategies, and MLOps practices. Be ready to explain your thought process when comparing models and making trade-offs. This is your chance to showcase your deep understanding of AI/ML systems and their lifecycle management.
✨Understand the Risks
Familiarise yourself with the risks associated with LLM applications, such as hallucination detection and prompt injection. Being able to discuss these topics will demonstrate your awareness of the challenges in the field and your proactive approach to mitigating them.
