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- Tasks: Lead AI projects, configure tools, and enhance collaboration across engineering teams.
- Company: Progressive tech group in the UK focused on AI adoption.
- Benefits: Flexible working hours and career development opportunities.
- Other info: Dynamic environment with a focus on innovation and growth.
- Why this job: Join a forward-thinking culture and make a real impact in AI.
- Qualifications: 5+ years of ML engineering experience and strong Python skills.
The predicted salary is between 70000 - 90000 £ per year.
A progressive technology group in the UK is seeking a Senior Machine Learning Engineer to enhance AI adoption across its engineering teams. This role involves leading AI-assisted development projects, configuring AI tools, and fostering a collaborative environment.
Candidates should have over 5 years of ML engineering experience, strong Python skills, and a solid understanding of MLOps.
The position offers flexible working hours and career development opportunities in a forward-thinking corporate culture.
ML Platform Architect - LLMs, MLOps & Tooling in Bristol employer: Rosenxt Group
Contact Detail:
Rosenxt Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Platform Architect - LLMs, MLOps & Tooling in Bristol
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. 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 ML projects, especially those involving LLMs and MLOps. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and tools. Practice explaining your past projects and how you've used Python in real-world scenarios. Confidence is key!
✨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, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace ML Platform Architect - LLMs, MLOps & Tooling in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in ML engineering and MLOps. We want to see how your skills align with the role, so don’t be shy about showcasing your Python prowess and any relevant projects you've led.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI adoption and how you can contribute to our collaborative environment. We love seeing genuine enthusiasm for the role!
Showcase Your Projects: If you've worked on any AI-assisted development projects, make sure to mention them! We’re interested in real-world applications of your skills, so share specific examples that demonstrate your expertise and impact.
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. Plus, it’s super easy!
How to prepare for a job interview at Rosenxt Group
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts, especially around LLMs and MLOps. Be ready to discuss your past projects in detail, showcasing how you've applied your Python skills and what tools you've configured.
✨Showcase Collaboration Skills
Since the role involves fostering a collaborative environment, think of examples where you've successfully worked with teams. Highlight how you’ve led AI-assisted development projects and how you encouraged teamwork in those situations.
✨Prepare for Technical Questions
Expect some technical questions that dive deep into your ML engineering experience. Practice explaining complex concepts in simple terms, as this will demonstrate your understanding and ability to communicate effectively with non-technical team members.
✨Emphasise Flexibility and Growth
With flexible working hours and career development opportunities on offer, be prepared to discuss how you manage your time and seek growth. Share your aspirations and how you plan to contribute to the company’s forward-thinking culture.