Data Scientist (MLOps / GenAI Specialist). Job in Bristol LilyLifestyle Jobs

Data Scientist (MLOps / GenAI Specialist). Job in Bristol LilyLifestyle Jobs

Bristol Full-Time 50000 - 65000 € / year (est.) No home office possible
United Cerebral Palsy of Georgia

At a Glance

  • Tasks: Lead and deliver innovative machine learning solutions in a cutting-edge AI team.
  • Company: Join a pioneering company at the forefront of GenAI and MLOps.
  • Benefits: Competitive salary and benefits, with opportunities for professional growth.
  • Other info: Exciting role in a highly regulated environment with excellent career prospects.
  • Why this job: Make an impact in AI while working with advanced technologies in a dynamic environment.
  • Qualifications: Experience in machine learning and cloud deployments is essential.

The predicted salary is between 50000 - 65000 € per year.

Location: Bristol | Salary: Competitive + Benefits

Join a cutting-edge AI team working at the forefront of GenAI, MLOps, and secure cloud deployments within highly regulated environments.

The Role

  • You will act as a technical specialist and team lead, delivering innovative machine learning solutions.
  • Building and deploying LLMs and ML models (cloud or HPC).
  • Leading technical initiatives.

Data Scientist (MLOps / GenAI Specialist). Job in Bristol LilyLifestyle Jobs employer: United Cerebral Palsy of Georgia

Join a forward-thinking company in Bristol that champions innovation and collaboration within the AI sector. With a strong focus on employee development, you will have access to extensive growth opportunities and a supportive work culture that values creativity and teamwork. Enjoy competitive salaries and benefits while working on groundbreaking projects in a vibrant city known for its tech community.

United Cerebral Palsy of Georgia

Contact Detail:

United Cerebral Palsy of Georgia Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Scientist (MLOps / GenAI Specialist). Job in Bristol LilyLifestyle Jobs

Tip Number 1

Network like a pro! Reach out to professionals in the AI and MLOps space on LinkedIn. Join relevant groups and participate in discussions to get your name out there.

Tip Number 2

Showcase your skills! Create a portfolio of your projects, especially those involving LLMs and ML models. This will give potential employers a taste of what you can do.

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with cloud deployments and how you've tackled challenges in regulated environments.

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 show your interest in joining our team.

We think you need these skills to ace Data Scientist (MLOps / GenAI Specialist). Job in Bristol LilyLifestyle Jobs

Machine Learning
MLOps
GenAI
Cloud Deployments
HPC (High-Performance Computing)
Technical Leadership
Model Deployment

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience with MLOps and GenAI. We want to see how your skills align with the cutting-edge work we do, so don’t hold back on showcasing relevant projects!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re passionate about AI and how you can contribute to our team. Be specific about your achievements and how they relate to the role.

Showcase Your Technical Skills:We’re looking for someone who can hit the ground running. Highlight your experience with building and deploying LLMs and ML models, especially in cloud or HPC environments. Don’t forget to mention any tools or frameworks you’re familiar with!

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 the role. Plus, it’s super easy!

How to prepare for a job interview at United Cerebral Palsy of Georgia

Know Your Tech Inside Out

Make sure you’re well-versed in the latest MLOps practices and GenAI technologies. Brush up on your knowledge of building and deploying LLMs and ML models, especially in cloud or HPC environments. Being able to discuss specific projects or experiences will show your expertise.

Showcase Your Leadership Skills

As a potential team lead, it’s crucial to demonstrate your leadership abilities. Prepare examples of how you've successfully led projects or teams in the past, particularly in technical settings. This will help the interviewers see you as a strong candidate for guiding their AI initiatives.

Prepare for Technical Questions

Expect to face some challenging technical questions during the interview. Practice explaining complex concepts clearly and concisely, as you may need to communicate these ideas to non-technical stakeholders. Consider mock interviews with peers to sharpen your responses.

Understand the Company’s Vision

Research LilyLifestyle and their approach to AI and machine learning. Understanding their goals and how they fit into the broader industry landscape will allow you to tailor your answers and show that you’re genuinely interested in contributing to their mission.