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- Tasks: Join a leading consultancy to develop AI/ML solutions for the insurance sector.
- Company: Dynamic consultancy focused on innovative AI and machine learning projects.
- Benefits: Competitive daily rate, hybrid work model, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Make an impact in the AI field while working with cutting-edge technologies.
- Qualifications: Strong experience in machine learning, Python, and MLOps required.
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 is £500 per day, inside IR35, and requires 1 day per week onsite in Central London.
Key Skills required:
- Strong commercial experience as a Machine Learning Engineer or ML Engineer
- Excellent Python engineering skills, with the ability to build clean, well-tested, production-quality AI/ML systems
- Experience designing, building and deploying machine learning models into production
- Strong experience with testing, validation and Python unit testing, ideally using pytest
- Experience with GenAI/LLMs, including RAG pipelines, embeddings and vector databases
- 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
- Good cloud, Docker and/or Kubernetes experience
- Ability to work closely with data scientists, software engineers, DevOps teams and business stakeholders
If the above sounds like you, please apply now for immediate consideration.
Senior Machine Learning Engineer - £500 - Inside IR35 - London Hybrid employer: RecOps
Contact Detail:
RecOps Recruiting Team
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 models. We recommend using platforms like GitHub to share your code and demonstrate your expertise. It’s a great way to stand out!
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and tools. Make sure you can discuss your experience with MLOps, CI/CD, and model monitoring confidently. We suggest doing mock interviews with friends or using online resources to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! It’s the easiest way to get your application noticed. Plus, we’re always looking for talented individuals like you to join exciting projects in the AI/ML field. So, hit that apply button!
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 Python skills and any projects where you've built production-quality AI/ML systems. Don’t just send a generic CV; personalise it for this role!
Showcase Relevant Projects: Include specific examples of machine learning models you've designed, built, and deployed. If you've worked with GenAI or LLMs, let us know! We love seeing real-world applications of your skills.
Highlight Collaboration Skills: Since this role involves working closely with various teams, mention any experiences where you collaborated with data scientists, software engineers, or DevOps teams. We value teamwork and communication!
Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. It’s quick and easy, and we’ll be able to review your application faster. Don’t miss out on this opportunity!
How to prepare for a job interview at RecOps
✨Know Your Stuff
Make sure you brush up on your machine learning concepts and the specific technologies mentioned in the job description. Be ready to discuss your experience with Python, MLOps, and any relevant projects you've worked on. This will show that you're not just familiar with the terms but can actually apply them.
✨Showcase Your Projects
Prepare to talk about your previous work, especially any AI/ML systems you've built or deployed. Highlight your role in these projects, the challenges you faced, and how you overcame them. This gives the interviewer a clear picture of your hands-on experience and problem-solving skills.
✨Ask Smart Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's approach to machine learning, their tech stack, or how they handle model monitoring and validation. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
✨Be Ready for Technical Challenges
Expect some technical questions or even coding challenges during the interview. Practice common algorithms, data structures, and Python testing frameworks like pytest. Being able to demonstrate your coding skills on the spot can really set you apart from other candidates.