At a Glance
- Tasks: Integrate scalable AI/ML systems into engineering applications and enhance software performance.
- Company: Leading engineering software company focused on innovative AI solutions.
- Benefits: Competitive salary up to £80,000, plus benefits and opportunities for professional 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 applications.
- 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 user base.
- 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 Guildford 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 Guildford
✨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 hunt for a Senior Software Engineer role. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous projects, especially those involving AI and machine learning integrations. 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 your technical knowledge and problem-solving skills. Be ready to discuss your experience with scalable software and how you've tackled challenges in past projects.
✨Tip Number 4
Don't forget to apply through our website! We often have exclusive listings that you won't find elsewhere. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Senior Software Engineer, AI/ML Integration in Guildford
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 keep track of your application and ensure it gets the attention it deserves!
How to prepare for a job interview at ECM Selection
✨Know Your Tech Inside Out
Make sure you’re well-versed in the programming languages mentioned in the job description, like Python, C++, and C#. Brush up on your knowledge of AI and ML integration techniques, as well as any relevant frameworks. Being able to discuss your past projects in detail will show your expertise.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, especially those related to integrating AI/ML into applications. Use the STAR method (Situation, Task, Action, Result) to structure your answers, demonstrating how you tackled complex problems and contributed to operational success.
✨Understand Security and Compliance
Since security and compliance are crucial in software engineering, be ready to talk about your experience with these aspects. Familiarise yourself with best practices and regulations relevant to AI/ML systems, and be prepared to discuss how you’ve ensured compliance in your past projects.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s current projects, their approach to AI/ML integration, and how they measure success. This not only shows your interest but also helps you gauge if the company is the right fit for you.