At a Glance
- Tasks: Design and implement ML/AI solutions using cutting-edge tools and frameworks.
- Company: Join a forward-thinking tech firm in Greater London.
- Benefits: Attractive salary, flexible working options, and opportunities for skill enhancement.
- Other info: Exciting projects and a vibrant team culture await you.
- Why this job: Be at the forefront of AI innovation and make a real difference.
- Qualifications: 3+ years in ML/AI engineering with experience in MLOps tools.
The predicted salary is between 60000 - 80000 £ 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 GenAI application development will be highly advantageous.
GenAI & MLOps Engineer employer: Stanley David and Associates
Stanley David and Associates is an excellent employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Greater London. With a strong focus on employee growth, we provide ample opportunities for professional development and exposure to cutting-edge technologies in ML/AI engineering. Our commitment to work-life balance and a supportive environment makes us an attractive 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
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We think you need these skills to ace GenAI & MLOps Engineer
Some tips for your application 🫡
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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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Stanley David and Associates. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Stanley David and Associates
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Stanley David and Associates!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
