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 and machine learning solutions.
- Benefits: Competitive salary up to £80,000, great benefits, and a supportive work environment.
- Other info: Dynamic role with opportunities for continuous improvement and career growth.
- Why this job: Join a cutting-edge team and shape the future of engineering applications with AI.
- 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. Mobile app development is not a primary focus. AI and ML techniques are likely working with numerical data or imaging rather than natural language / LLM.
The role offers a highly competitive salary and benefits, and the office is close to transport links. UK residence and full work permission without sponsorship are required.
Senior Software Engineer, AI/ML Integration in Woking employer: ECM Selection Ltd.
As a leading engineering software company based in Guildford, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel in their roles. With a strong focus on integrating cutting-edge AI and machine learning technologies, we offer exceptional growth opportunities for our team members, alongside a competitive salary and comprehensive benefits package. Our prime location near transport links ensures easy accessibility, making it an ideal workplace for those seeking meaningful and rewarding employment in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software Engineer, AI/ML Integration in Woking
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with online communities. 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 projects, especially those involving AI and ML integration. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions related to software engineering and AI/ML. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior Software Engineer, AI/ML Integration in Woking
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 worked with large data volumes or integrated AI features. We love seeing real-world applications of your skills, so let us know what you've achieved!
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your qualifications and experiences.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at ECM Selection Ltd.
✨Know Your Tech Inside Out
Make sure you’re well-versed in the languages mentioned in the job description, like Python, C++, and C#. Brush up on your knowledge of AI and ML techniques, especially how they apply to numerical data or imaging. Being able to discuss your past projects and how you integrated these technologies will really impress.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in previous roles, particularly around software engineering and large data volumes. Highlight your experience with monitoring, diagnostics, and troubleshooting. Companies love candidates who can demonstrate their ability to ensure operational success.
✨Understand Security and Compliance
Familiarise yourself with security and compliance considerations relevant to software engineering. Be ready to discuss how you’ve implemented these in past projects. This shows that you’re not just a coder but also someone who understands the bigger picture.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s current projects, their approach to integrating AI/ML, and their future goals. This not only shows your interest but also helps you gauge if the company is the right fit for you. Remember, interviews are a two-way street!
