At a Glance
- Tasks: Join a dynamic team to deploy cutting-edge Machine Learning solutions in retail.
- Company: Innovative tech firm focused on transforming the retail space.
- Benefits: Earn up to £600 per day with flexible remote or hybrid options.
- Other info: Immediate start with opportunities for long-term growth.
- Why this job: Make a real impact by working on exciting GenAI projects.
- Qualifications: Proven ML deployment experience and strong problem-solving skills required.
The predicted salary is between 48000 - 60000 £ per year.
Machine Learning Engineer - Outside IR35, up to £600 per day. Remote or London Hybrid. Immediate start.
Looking for multiple Machine Learning Engineers for a long term project with one of OB's clients in the retail space.
- Proven experience in end-to-end ML deployments, including GenAI models, into scaled production systems.
- Skilled in building RESTful and GraphQL APIs for integrating GenAI systems with front-end and back-end platforms (UI, order systems, data stores).
- Strong problem-solving skills; capable of delivering scalable, maintainable software.
- Effective communicator and team player.
- Knowledge of monitoring/alerting best practices for GenAI pipelines (e.g., Langsmith, Langfuse) and LLM-as-a-judge.
- Cloud experience (AWS, GCP) and familiarity with DevOps practices (CI/CD, Docker, Kubernetes, IaC).
- Experience with event-driven architecture and streaming (Kafka a strong plus).
- Exposure to chat agents and customer service systems is a plus.
ML Engineer (Outside IR35) in London employer: Oliver Bernard
Join a forward-thinking company that values innovation and collaboration, offering Machine Learning Engineers the chance to work on exciting projects in the retail sector. With a flexible remote or hybrid working model based in London, employees benefit from a supportive work culture that prioritises professional growth and development, alongside competitive daily rates. This is an excellent opportunity for those looking to make a meaningful impact in a dynamic environment while utilising cutting-edge technologies.
StudySmarter Expert Advice🤫
We think this is how you could land ML Engineer (Outside IR35) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your end-to-end ML deployments and any cool projects you've worked on. This is your chance to demonstrate your expertise in building APIs and working with GenAI models.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Be ready to discuss how you've tackled challenges in past projects, especially around scalable software and monitoring best practices for GenAI pipelines.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities that match your skills. Plus, it’s a great way to get noticed by hiring managers who are looking for talent just like yours.
We think you need these skills to ace ML Engineer (Outside IR35) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with end-to-end ML deployments and any relevant projects you've worked on. We want to see how your skills align with the job description, so don’t be shy about showcasing your expertise!
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 your experience with GenAI models and APIs, and how you can contribute to our team. Keep it engaging and personal!
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex problems in past projects. We love seeing candidates who can think critically and deliver scalable solutions, so don’t hold back on sharing your success stories!
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 the role. Plus, it makes the process smoother for everyone involved!
How to prepare for a job interview at Oliver Bernard
✨Know Your ML Stuff
Make sure you brush up on your machine learning knowledge, especially around end-to-end deployments and GenAI models. Be ready to discuss your past projects in detail, focusing on how you tackled challenges and delivered scalable solutions.
✨API Mastery is Key
Since the role involves building RESTful and GraphQL APIs, be prepared to talk about your experience with these technologies. Have examples ready that showcase how you've integrated GenAI systems with front-end and back-end platforms.
✨Show Off Your Problem-Solving Skills
Employers love a good problem-solver! Think of specific instances where you faced a tough challenge in your projects and how you overcame it. This will demonstrate your ability to deliver maintainable software under pressure.
✨Cloud and DevOps Know-How
Familiarise yourself with cloud platforms like AWS or GCP and be ready to discuss your experience with DevOps practices. Highlight any work you've done with CI/CD, Docker, or Kubernetes, as well as your understanding of monitoring best practices for GenAI pipelines.
