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- Tasks: Develop and maintain AI workspace functionality for a global education organisation.
- Company: Established consultancy with a focus on innovative AI solutions.
- Benefits: Hybrid work model, competitive pay, and potential for contract extension.
- Why this job: Join a collaborative team and make a real impact in the education sector.
- Qualifications: Experience in machine learning, data architecture, and agile methodologies.
- Other info: Hands-on role with opportunities for professional growth and development.
The predicted salary is between 48000 - 72000 £ per year.
An established consultancy is seeking a Machine Learning Engineer (Contract) to support a global education organisation on an ongoing AI workspace project. The work will focus on extending internal tooling and integrating intelligent document management capabilities used across multiple regions. This is a hands-on individual contributor role, ideal for someone who enjoys working end-to-end from data and architecture through to deployment and knowledge transfer within a collaborative, agile delivery team.
Key Responsibilities
- Develop and maintain project-specific workspace functionality, including file storage, metadata and system prompt management.
- UI integration with collapsible sidebar navigation.
- Build or integrate a SharePoint or cloud-based file environment, including permissioned repositories for business units to upload and access documents independently.
- Provide a pre-defined library for initial deployment (e.g., finance or operational materials).
- Implement basic access controls, validation and testing.
Machine Learning Engineer employer: Omnis Partners
Contact Detail:
Omnis Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry and let them know you're on the lookout for opportunities. A personal recommendation can go a long way in landing that Machine Learning Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and machine learning. This will give potential employers a taste of what you can do and how you can contribute to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions and be ready to discuss your experience with data architecture and deployment in detail.
✨Tip Number 4
Don't forget to apply through our website! We have loads of exciting opportunities, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Engineer role. Highlight relevant experience and skills that match the job description, especially around AI and document management. We want to see how you can contribute to our project!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background makes you a perfect fit. We love seeing enthusiasm and a personal touch, so let your personality come through!
Showcase Your Projects: If you've worked on any projects related to machine learning or AI, make sure to mention them. We’re interested in your hands-on experience, so include links or descriptions of your work that demonstrate your skills in developing and deploying 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 don’t miss out on any important updates. Plus, it shows you’re keen to join our team at StudySmarter!
How to prepare for a job interview at Omnis Partners
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest machine learning frameworks and tools relevant to the role. Brush up on your knowledge of AI concepts, especially those related to document management and cloud environments, as these will likely come up during the interview.
✨Showcase Your Project Experience
Prepare to discuss specific projects where you've developed or integrated machine learning solutions. Highlight your hands-on experience with data architecture and deployment, and be ready to explain how you collaborated within an agile team to achieve project goals.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the consultancy's approach to AI projects and how they envision the role contributing to their goals. This shows your genuine interest and helps you assess if it’s the right fit for you.
✨Demonstrate Problem-Solving Skills
Be ready to tackle hypothetical scenarios or technical challenges during the interview. Think through your problem-solving process out loud, showcasing your analytical skills and ability to work through complex issues, which is crucial for a Machine Learning Engineer.
