At a Glance
- Tasks: Build intelligent models to predict prospects and optimise data signals for revenue.
- Company: Dynamic data-led marketing business in Glasgow with a focus on innovation.
- Benefits: Competitive daily rate, flexible work environment, and inclusive culture.
- Other info: Join a diverse team that values respect, equality, and career growth.
- Why this job: Make a real impact by using cutting-edge ML techniques in a collaborative setting.
- Qualifications: Strong experience in Data Science/ML, Python, and cloud platforms like GCP or AWS.
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 Recruitment
Join a dynamic and innovative data-led marketing business in Glasgow, where your expertise as a Data Science / ML Engineer will directly contribute to unlocking the potential of our datasets. We pride ourselves on fostering a collaborative and inclusive work culture that values diversity, offering you opportunities for professional growth and development while working with cutting-edge technologies in a supportive environment. With flexible working arrangements and a focus on employee well-being, we ensure that your contributions are recognised and rewarded.
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 solve real-world problems. 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 makes it easier for us to connect with you and get the ball rolling on your application.
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 intelligent models or worked with NLP/LLM use cases in the past.
Showcase Your Problem-Solving Skills:In your application, highlight instances where you've tackled complex problems and delivered impactful solutions. We love candidates who can demonstrate their ability to work autonomously and drive business results!
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 from our team!
How to prepare for a job interview at Sanderson Recruitment
✨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 had a tangible impact on revenue. Be ready to explain your thought process, the challenges you faced, and how you overcame them.
✨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 business side of things.
✨Ask Insightful Questions
Prepare some thoughtful questions about their current data challenges or future projects. This demonstrates your genuine interest in the role and helps you assess if the company is the right fit for you.
