At a Glance
- Tasks: Build intelligent models to predict prospects and optimise data signals for revenue.
- Company: A dynamic data-led marketing business with a focus on innovation.
- Benefits: Remote work, flexible hours, and a supportive community.
- Other info: Join a diverse team that values inclusivity and personal growth.
- Why this job: Make a real impact by driving revenue through cutting-edge ML solutions.
- Qualifications: Strong experience in Data Science/ML, Python, and cloud platforms.
The predicted salary is between 50000 - 70000 £ per year.
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.
Responsibilities include:
- Building intelligent models to predict which prospects are most likely to convert.
- Using LLMs to enrich CRM data and extract insight from transcription data.
- Identifying key data signals driving revenue and optimising over time.
- Deploying solutions in a cloud ML environment (GCP / Vertex AI).
Requirements:
- Strong commercial Data Science / ML experience.
- Proficiency in Python and cloud ML platforms (GCP / Vertex AI or AWS SageMaker).
Apply if you're a pragmatic ML Engineer who enjoys building solutions that directly drive revenue. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.
Data Engineer - praca zdalna in Glasgow employer: Sanderson
As a leading data-led marketing business, we offer a dynamic and inclusive work environment that fosters innovation and collaboration. Our remote-first approach allows you to work flexibly while being part of a diverse team dedicated to unlocking the potential of data. With opportunities for professional growth and development in cutting-edge technologies like GCP and Vertex AI, you'll be empowered to make a meaningful impact on our revenue-driven projects.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - praca zdalna in Glasgow
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. 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 and cloud ML platforms. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and tools. Be ready to discuss how you've used LLMs or optimised data signals in past projects. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications come in directly, and it helps us keep track of all the amazing talent out there. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace Data Engineer - praca zdalna in Glasgow
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python and cloud ML platforms like GCP or AWS SageMaker. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re passionate about data engineering and how you can help us unlock the value of our datasets. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects:If you've worked on any cool projects involving machine learning or data science, make sure to mention them! We’re keen to see how you’ve built solutions that drive revenue and what impact they had.
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 during the recruitment process!
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 how they can enrich CRM data, as this will likely come up during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific projects where you've built models that drive revenue. Be ready to explain your thought process and how you identified key data signals that led to successful outcomes.
✨Understand the Business Context
Research the company’s data-led marketing approach and think about how your skills can help unlock value from their datasets. This shows you’re not just a techie but also understand the bigger picture.
✨Be Ready for Practical Tests
Expect some hands-on challenges or case studies during the interview. Practise coding problems related to data engineering and machine learning to demonstrate your practical skills effectively.
