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For Companies At a Glance
- Tasks: Design and deploy AI workflows while optimising technical solutions.
- Company: A fast-growing AI-driven biotechnology firm in the UK.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and transform business workflows with AI technology.
- Qualifications: Strong STEM background and solid machine learning experience required.
- Other info: Collaborate across functions and communicate with diverse stakeholders.
The predicted salary is between 36000 - 60000 £ per year.
A burgeoning AI-driven biotechnology firm in the UK seeks an AI Technical Operations Manager to design and deploy agentic AI workflows. The role involves collaborating with various business functions, optimizing technical solutions, and leveraging advanced machine learning techniques.
The ideal candidate has a strong STEM background, solid ML experience, and the ability to communicate effectively with both technical and non-technical stakeholders.
Responsibilities include:
- Transforming business workflows into AI systems
- Ensuring seamless deployment of ML models in production
AI Operations Architect: Agentic ML & MLOps (Remote) employer: Bioptimus
Contact Detail:
Bioptimus Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Operations Architect: Agentic ML & MLOps (Remote)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and biotech sectors on LinkedIn. Join relevant groups and engage in discussions to get your name out there and learn about hidden job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects and any agentic AI workflows you've designed. 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 both technical and non-technical communication. Practice explaining complex concepts in simple terms, as you'll need to collaborate with various business functions.
✨Tip Number 4
Don't forget to apply through our website! We often have exclusive listings that might not be found elsewhere. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace AI Operations Architect: Agentic ML & MLOps (Remote)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the AI Operations Architect role. Highlight your STEM background and any relevant ML projects you've worked on, as this will show us you're a great fit for the position.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and biotechnology. Share specific examples of how you've collaborated with different teams and optimised technical solutions in the past, as this will help us see your potential impact.
Showcase Your Communication Skills: Since the role involves liaising with both technical and non-technical stakeholders, make sure to demonstrate your ability to communicate complex ideas clearly. Use straightforward language in your application to show us you can bridge the gap between tech and business.
Apply Through Our Website: We encourage you to apply directly through our website. This way, we can easily track your application and ensure it gets the attention it deserves. Plus, it’s the best way to stay updated on your application status!
How to prepare for a job interview at Bioptimus
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of agentic AI workflows and MLOps. Be ready to discuss specific machine learning techniques you've used in the past and how they can be applied to optimise business functions.
✨Showcase Your Collaboration Skills
Since the role involves working with various business functions, prepare examples of how you've successfully collaborated with both technical and non-technical teams. Highlight your communication skills and how you’ve translated complex concepts into understandable terms.
✨Prepare for Technical Questions
Expect some deep dives into your technical expertise. Review common ML algorithms and deployment strategies, and be ready to explain your thought process when transforming business workflows into AI systems.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions. Inquire about the company’s current AI projects or challenges they face in deploying ML models. This shows your genuine interest and helps you gauge if the company is the right fit for you.
