At a Glance
- Tasks: Build and deploy cutting-edge ML and GenAI solutions for supply chain optimisation.
- Company: Join a leading retail client transforming operations with AI.
- Benefits: Remote or hybrid work options and immediate start available.
- Other info: Exciting opportunity for career growth in a dynamic retail setting.
- Why this job: Make a real impact in a high-stakes environment using advanced technology.
- Qualifications: Experience in ML deployment, Python, and cloud platforms like AWS or GCP.
The predicted salary is between 60000 - 80000 £ per year.
Machine Learning Engineer | Supply Chain AI | Outside IR35
Remote or Hybrid London
Immediate Start
Oliver Bernard are partnering with a leading retail client who are looking to hire multiple Machine Learning Engineers for a long-term programme focused on transforming supply chain operations through AI and machine learning.
You'll be building and deploying production-grade ML and GenAI solutions across forecasting, inventory optimisation, logistics and operational decision-making systems.
Key requirements:
- Proven experience deploying ML and GenAI models into production environments
- Strong supply chain, logistics, inventory management or demand forecasting experience
- Python expertise and API development (REST/GraphQL)
- AWS or GCP cloud experience
- CI/CD, Docker, Kubernetes and Infrastructure as Code
- Monitoring and evaluation of GenAI systems (LangSmith, Langfuse, LLM-as-a-Judge frameworks)
- Experience with event-driven architectures and Kafka is highly desirable
- Strong software engineering fundamentals and stakeholder communication skills
This is an opportunity to join a high-impact programme delivering AI solutions at enterprise scale within a complex retail supply chain environment.
ML Engineer - Contract - Outside IR35 employer: Oliver Bernard
Join a dynamic and innovative team at the forefront of AI transformation in the retail sector, where your contributions as a Machine Learning Engineer will directly impact supply chain operations. With a strong emphasis on employee growth, collaborative work culture, and the flexibility of remote or hybrid working arrangements in London, this role offers a unique opportunity to develop cutting-edge solutions while enjoying a supportive environment that values your expertise and fosters professional development.
StudySmarter Expert Advice🤫
We think this is how you could land ML Engineer - Contract - Outside IR35
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in supply chain or AI. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML and GenAI projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really impress potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with Python, AWS, and CI/CD tools. Practising common interview questions can help you feel more confident when it’s time to shine.
✨Tip Number 4
Don’t forget to 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 over other candidates.
We think you need these skills to ace ML Engineer - Contract - Outside IR35
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with ML and GenAI models, especially in supply chain contexts. We want to see how your skills align with the job description, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI in supply chains and how your background makes you a perfect fit for this role. Keep it engaging and personal – we love a bit of personality!
Showcase Your Technical Skills:Don’t forget to mention your Python expertise and any experience with AWS or GCP. If you've worked with CI/CD, Docker, or Kubernetes, make sure to highlight that too. We’re looking for those technical chops that will help us deliver top-notch solutions!
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. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Oliver Bernard
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts and be ready to discuss your experience with deploying models into production. Be prepared to share specific examples of how you've tackled challenges in supply chain operations using AI.
✨Showcase Your Python Skills
Since Python expertise is a key requirement, practice coding problems and be ready to demonstrate your skills during the interview. Familiarise yourself with API development, especially REST and GraphQL, as you might be asked to explain your approach or even solve a problem on the spot.
✨Cloud Knowledge is Key
Whether it's AWS or GCP, make sure you understand the cloud services relevant to machine learning. Be ready to discuss how you've used these platforms in past projects, particularly in relation to CI/CD, Docker, and Kubernetes.
✨Communicate Clearly
Strong stakeholder communication skills are essential. Practice explaining complex technical concepts in simple terms, as you may need to interact with non-technical team members. This will show that you can bridge the gap between tech and business needs.
