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- Tasks: Integrate AI/ML systems into engineering applications and ensure operational success.
- Company: Leading engineering software company focused on innovative AI solutions.
- Benefits: Competitive salary up to £80,000 plus benefits and opportunities for growth.
- Other info: Dynamic work environment with a focus on continuous improvement and innovation.
- Why this job: Join a cutting-edge team and shape the future of AI in engineering.
- Qualifications: Degree in a technical subject and experience in commercial-grade software engineering.
The predicted salary is between 80000 - 80000 £ per year.
Integrating scalable production-grade AI / ML systems into engineering applications.
This engineering software company is integrating AI and machine learning features into their application suite, and seeking a skilled traditional software engineer with experience working on similar projects. You will have architected, developed and maintained robust, scalable software prior to the buzz around AI and machine learning technologies. Through likely recent work, you will have also looked to integrate AI and machine learning features or subsystems into powerful applications.
Your experience will therefore include:
- A good degree in a technical subject from a Russell Group or equivalent university (and potentially a masters or PhD)
- Commercial-grade software engineering experience, ideally in engineering or scientific software dealing with large data volumes for an expert userbase
- Awareness of security and compliance considerations
- API development, for internal boundaries and potentially external usage
- Being involved in ensuring operational success through monitoring / diagnostics and troubleshooting for deployments, and continuous improvement
- Languages of interest include Python, C++ and C#.
- Software may be desktop or web + cloud.
Senior Software Engineer, AI/ML Integration in Surrey employer: ECM Selection
Contact Detail:
ECM Selection Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer, AI/ML Integration in Surrey
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI/ML space and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving AI and machine learning. 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 technical questions related to AI/ML integration. Practice coding challenges and be ready to discuss your previous experiences in detail.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Senior Software Engineer, AI/ML Integration in Surrey
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI and ML integration. We want to see how you've architected and developed scalable software, so don’t hold back on those details!
Showcase Relevant Projects: Include specific projects where you’ve integrated AI/ML features. We love seeing real-world applications of your skills, so share the challenges you faced and how you overcame them.
Highlight Your Technical Skills: Mention your proficiency in languages like Python, C++, and C#. We’re looking for someone who can hit the ground running, so make sure we know what you bring to the table!
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 don’t miss out on any important updates from us!
How to prepare for a job interview at ECM Selection
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of AI and ML systems, especially how they integrate into engineering applications. Be ready to discuss specific projects you've worked on, the challenges you faced, and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex issues in software development. Think about times when you had to troubleshoot or improve a system, and be ready to explain your thought process and the outcomes.
✨Understand Security and Compliance
Since security is a big deal in software engineering, make sure you can talk about how you've considered security and compliance in your past projects. Highlight any relevant experience you have with API development and how you ensured safe data handling.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare some thoughtful questions about the company's approach to AI/ML integration and their future projects. This shows your genuine interest and helps you gauge if it's the right fit for you.