At a Glance
- Tasks: Build intelligent models and deploy solutions in a cloud ML environment.
- Company: Dynamic data-led marketing business in Glasgow with a focus on innovation.
- Benefits: Competitive daily rate, flexible work, and a chance to make a real impact.
- Other info: Inclusive workplace that values diversity and offers excellent career growth.
- Why this job: Join a growing team and unlock the value of data while driving revenue.
- Qualifications: Strong Data Science/ML experience, Python skills, and cloud platform knowledge.
We're hiring a hands-on ML Engineer to help a growing data-led marketing business unlock the value of its dataset across lead generation and tender platforms.
The role:
- Building intelligent models to predict which prospects are most likely to convert.
- Use LLMs to enrich CRM data and extract insight from transcription data.
- Identify key data signals driving revenue and optimise over time.
- Deploy solutions in a cloud ML environment (GCP / Vertex AI).
What we're looking for:
- Strong commercial Data Science / ML experience.
- Python and cloud ML platforms (GCP / Vertex AI or AWS SageMaker).
- Experience with NLP / LLM use cases.
- Ability to work autonomously and deliver business impact.
Apply if you're a pragmatic ML Engineer who enjoys building solutions that directly drive revenue.
Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients.
Data Science / ML Engineer employer: Sanderson
Join a dynamic and innovative data-led marketing business in Glasgow, where your expertise as a Data Science / ML Engineer will directly influence revenue growth. We foster a collaborative work culture that values diversity and inclusion, offering you the opportunity to work autonomously while developing cutting-edge solutions in a supportive environment. With competitive compensation and a commitment to employee development, this role is perfect for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science / ML Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science and ML community. Attend meetups, webinars, or even local events in Glasgow. 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 projects, especially those involving Python, NLP, or cloud ML platforms like GCP or AWS. This will give potential employers a taste of what you can do and how you can drive revenue for their business.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in data science and ML. Be ready to discuss your experience with LLMs and how you've used them to extract insights. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and take the initiative. Plus, it’s a great way to ensure your application gets the attention it deserves. Let's get you that contract role!
We think you need these skills to ace Data Science / ML Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your relevant experience in Data Science and ML. We want to see how your skills align with the role, so don’t be shy about showcasing your Python prowess and cloud ML platform experience!
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. Share specific examples of how you've built models or worked with LLMs that drove business impact.
Showcase Your Projects:If you’ve worked on any cool projects related to NLP or predictive modelling, make sure to mention them! We love seeing practical applications of your skills, so include links or descriptions of your work.
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. Don’t miss out!
How to prepare for a job interview at Sanderson
✨Know Your Tech Stack
Make sure you’re well-versed in Python and the cloud ML platforms mentioned, like GCP or AWS SageMaker. Brush up on your knowledge of LLMs and NLP use cases, as these will likely come up during the interview.
✨Showcase Your Projects
Prepare to discuss specific projects where you've built models that drive revenue. Be ready to explain your thought process, the challenges you faced, and how you overcame them. Real-world examples will make you stand out!
✨Understand the Business Impact
Demonstrate your understanding of how data science can impact lead generation and tender platforms. Think about how your work can directly influence revenue and be prepared to share your insights on this.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s data strategy 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.
