At a Glance
- Tasks: Design and implement cutting-edge ML/AI solutions using the latest tools and frameworks.
- Company: Join a forward-thinking tech firm in Greater London, focused on innovation.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic team environment with a strong focus on collaboration and creativity.
- Why this job: Be at the forefront of AI technology and make a significant impact in the industry.
- Qualifications: 3+ years in ML/AI engineering with experience in MLOps and cloud platforms.
The predicted salary is between 81000 - 99000 £ per year.
Stanley David and Associates is seeking an experienced ML/AI Engineer in Greater London.
The ideal candidate should possess over 3 years of experience in ML/AI engineering, demonstrating the ability to deliver production features effectively.
You'll work with various MLOps tools and frameworks, such as MLflow, and have exposure to cloud platforms like AWS and Azure.
Familiarity with AI agent frameworks and Gen AI application development will be highly advantageous.
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GenAI & MLOps Engineer in London employer: Stanley David and Associates
As a leading employer in the tech industry, we offer a dynamic work environment that fosters innovation and collaboration. Our commitment to employee growth is evident through continuous training opportunities and a culture that values teamwork and mentorship. Located in a vibrant area, we provide competitive benefits and a supportive atmosphere that encourages work-life balance, making us an excellent choice for those seeking meaningful and rewarding employment.
Contact Details:
Stanley David and Associates Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land GenAI & MLOps Engineer in London
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We think you need these skills to ace GenAI & MLOps Engineer in London
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Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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