At a Glance
- Tasks: Join a leading consultancy to drive AI/Machine Learning projects in the insurance sector.
- Company: Dynamic consultancy known for innovative AI solutions.
- Benefits: Competitive daily rate, hybrid work model, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous learning and development.
- Why this job: Make a real impact in AI while working with cutting-edge technologies.
- Qualifications: Strong Python skills and experience in building production-quality AI/ML systems.
The predicted salary is between 130000 - 130000 £ 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 commercial experience as a Machine Learning Engineer, ML Engineer, AI Engineer or Python-focused MLE.
- Excellent hands-on Python engineering skills, with strong fundamentals across OOP, async/concurrency, decorators, design patterns and clean code.
- Comfortable with Python-heavy technical discussions and building/debugging code without heavy reliance on AI tooling or Internet-based support.
- Experience building clean, well-tested, production-quality AI/ML systems.
- Experience designing, building and deploying machine learning or GenAI systems into production.
- Strong experience with testing, validation and Python unit testing, ideally using pytest.
- Experience with GenAI/LLMs, including RAG pipelines, embeddings, vector databases and agentic workflows.
- Ability to evaluate and compare different models or approaches, using relevant metrics and clear technical reasoning.
- Understanding of LLM application risks, including hallucination detection, output validation, prompt injection and jailbreak mitigation.
- Experience with MLOps, CI/CD, model monitoring, versioning and life cycle management.
Senior Machine Learning Engineer - £500 - 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, with opportunities for professional growth through engaging projects in the cutting-edge field of AI and Machine Learning. With competitive daily rates and a focus on employee well-being, we are committed to providing a rewarding environment for our talented engineers.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Engineer - £500 - 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 machine learning. We recommend using platforms like GitHub to share your code and demonstrate your problem-solving abilities. It’s a great way to stand out!
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python fundamentals and ML concepts. We suggest doing mock interviews with friends or using online platforms. The more comfortable you are discussing your experience and projects, the better!
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly can sometimes give you an edge, as we love seeing candidates who take the initiative. Don’t miss out!
We think you need these skills to ace Senior Machine Learning Engineer - £500 - Inside IR35 - London Hybrid
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience as a Machine Learning Engineer. We want to see your hands-on Python skills and any projects you've worked on that relate to AI/ML systems. Customising your CV for this role will help us see how you fit in!
Showcase Your Projects:Include specific examples of your work with machine learning or GenAI systems. We love to see clean, well-tested code, so if you've got any production-quality projects, make them shine in your application!
Be Clear and Concise:When writing your cover letter, keep it straightforward. We appreciate clarity, so explain your relevant experience and why you're excited about this role without fluff. Let’s get to the good stuff quickly!
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. Plus, we love seeing applications come through our platform!
How to prepare for a job interview at RecOps
✨Know Your Stuff
Make sure you brush up on your machine learning fundamentals and Python skills. Be ready to discuss your hands-on experience with OOP, async programming, and design patterns. They’ll likely want to dive deep into your technical knowledge, so be prepared to explain your past projects in detail.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some coding challenges or technical questions during the interview. Practice building and debugging code without relying on AI tools. This will demonstrate your ability to think critically and solve problems on the spot, which is crucial for this role.
✨Discuss Real-World Applications
Be ready to talk about your experience designing and deploying machine learning systems in production. Highlight any specific projects where you’ve built clean, well-tested AI/ML systems, and discuss the metrics you used to evaluate their performance.
✨Understand the Risks
Familiarise yourself with the risks associated with LLM applications, such as hallucination detection and prompt injection. Being able to articulate these risks and how you would mitigate them will show that you have a comprehensive understanding of the field and are prepared for the challenges ahead.
