Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and deliver cutting-edge AI and analytics solutions with end-to-end AI/ML systems.
- Company: Dynamic recruitment agency based in London, focused on innovative tech roles.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a team at the forefront of AI technology and make a real impact.
- Qualifications: 2-4 years of experience in data science, strong coding skills, and familiarity with AI/ML frameworks.
- Other info: Collaborative environment with exposure to emerging technologies and cloud services.
The predicted salary is between 36000 - 60000 £ per year.
A recruitment agency is seeking a Data Science Engineer in London to design and deliver AI and analytics solutions. The role involves developing end-to-end AI/ML systems, applying MLOps practices, and collaborating with various stakeholders.
Ideal candidates will have:
- 2-4 years of relevant experience
- Strong skills in coding and communication
- Familiarity with AI/ML frameworks and cloud services, particularly Azure
This position promises significant involvement in emerging technologies.
Data Science Engineer: End-to-End AI/ML Solutions in City of London employer: DGH Recruitment Ltd
Contact Detail:
DGH Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Engineer: End-to-End AI/ML Solutions in City of London
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI/ML space on LinkedIn or at local meetups. We can’t stress enough how valuable personal connections can be in landing that Data Science Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your end-to-end AI/ML projects. We recommend including any MLOps practices you've implemented, as this will really catch the eye of recruiters looking for someone with hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on your coding skills and understanding of AI/ML frameworks. We suggest doing mock interviews with friends or using online platforms to get comfortable with common questions and scenarios.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Data Science Engineer: End-to-End AI/ML Solutions in City of London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your coding skills and experience with AI/ML frameworks in your application. We want to see how you can contribute to our end-to-end solutions, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention your familiarity with MLOps practices and cloud services like Azure, as these are key to what we’re looking for.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clear communication, so make sure your ideas come across easily without unnecessary fluff.
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 in London!
How to prepare for a job interview at DGH Recruitment Ltd
✨Know Your AI/ML Frameworks
Make sure you brush up on the AI/ML frameworks mentioned in the job description. Be ready to discuss your experience with them, especially in relation to Azure. Having specific examples of projects where you've applied these technologies will really impress the interviewers.
✨Showcase Your MLOps Knowledge
Since MLOps practices are key for this role, prepare to explain how you've implemented MLOps in your previous work. Discuss any tools or processes you've used to streamline model deployment and monitoring, as this will demonstrate your hands-on experience.
✨Communicate Clearly and Effectively
Strong communication skills are essential for collaborating with stakeholders. Practice explaining complex technical concepts in simple terms. This will not only show your expertise but also your ability to work well with non-technical team members.
✨Prepare Questions About Emerging Technologies
Since the role promises significant involvement in emerging technologies, come prepared with insightful questions about the company's future projects or innovations. This shows your enthusiasm for the field and your desire to contribute to cutting-edge solutions.
