At a Glance
- Tasks: Design and implement an enterprise MLOps platform on AWS and automate model deployment pipelines.
- Company: Join Talenzon group, a leader in AI solutions, based in vibrant London.
- Benefits: Competitive pay, hands-on experience, and the chance to work with cutting-edge technology.
- Other info: Exciting 6-month contract with opportunities for growth in a dynamic team.
- Why this job: Make a real impact by deploying production-ready LLM applications and standardising ML processes.
- Qualifications: Strong English communication skills and hands-on experience with SageMaker, EKS, and vector databases.
The predicted salary is between 60000 - 80000 £ per year.
Talenzon group is seeking a Senior MLOps Engineer to join our London-based on-site team for a 6-month contract.
You will design and implement an enterprise MLOps platform on AWS, deploy production-ready LLM applications and automate model deployment pipelines.
You will build AI monitoring, governance, and CI/CD workflows, plus standardize the ML lifecycle across teams.
Strong English communication and hands-on experience with Sage Maker, EKS, and vector databases are required.
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Senior MLOps Engineer: AWS AI Platform (On-site London) employer: Talenzon group
At Talenzon group, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel in their roles. As a Senior MLOps Engineer in our London office, you will benefit from a dynamic environment that encourages professional growth through hands-on experience with cutting-edge technologies like AWS and SageMaker. Our commitment to employee development, coupled with the vibrant city of London as your workplace, makes Talenzon an exceptional employer for those seeking meaningful and rewarding careers in AI and machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land Senior MLOps Engineer: AWS AI Platform (On-site London)
✨Tap into Online Data Science Communities
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We think you need these skills to ace Senior MLOps Engineer: AWS AI Platform (On-site London)
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Talenzon group, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Talenzon group, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Talenzon group’s attention and show the tangible impact of your work.
How to prepare for a job interview at Talenzon group
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Talenzon group.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Talenzon group.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Talenzon group.
