Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join a cutting-edge R&D team to develop innovative AI solutions.
- Company: High-growth scale-up focused on national security innovation near Cheltenham.
- Benefits: Starting salary up to £70,000, hybrid work, 25 days holiday, and bonuses.
- Why this job: Be at the forefront of AI technology and make a real impact.
- Qualifications: Experience in software engineering with a passion for AI/ML.
- Other info: Collaborative culture with excellent career development opportunities.
The predicted salary is between 42000 - 84000 £ per year.
Software AI Engineer with generative AI, LLM or ML experience is sought by a high growth scale up based near Cheltenham. Working at the forefront of national security innovation, this Software AI Engineer will work within a R&D team collaborating with industry partners to turn ideas into production ready, market leading solutions.
This role would suit a software engineer with a couple of years commercial experience within a broad range of technologies and a demonstrable passion for AI/ML innovation who is looking for a truly collaborative, autonomous working environment with end to end project exposure. In return, this Software AI Engineer can expect excellent career development and training opportunities within a market leading SME.
This Software AI Engineer based near Cheltenham should have most of the following key skills:
- A real passion for bleeding edge generative AI and/or advanced machine learning technology – Pytorch, TensorFlow, LlamaCPP, Keras etc.
- Cloud services exposure – AWS preferred but all considered.
- Very strong communication skills.
- Experience working in R&D or small technical teams would be a plus.
This Software AI Engineer will receive:
- Starting salary of up to £70,000 DoE.
- Hybrid working (1/2 days a week in the office).
- 25 days holiday.
- 10% Bonus.
- Truly autonomous, collaborative culture with extensive growth potential.
- Regular remuneration reviews.
So if you are a Software AI Engineer who wants to join a market leading business with innovation at its core, please apply now to be considered.
Software AI Engineer employer: SF Technology Solutions
Contact Detail:
SF Technology Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups or webinars, and connect with potential colleagues on LinkedIn. 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 generative AI or machine learning. This will give you an edge and demonstrate your passion for the field when chatting with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to AI and ML, and be ready to discuss your past experiences and how they relate to the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Software AI Engineer
Some tips for your application 🫡
Show Your Passion for AI/ML: Make sure to highlight your enthusiasm for generative AI and machine learning in your application. We want to see that you’re not just skilled, but genuinely excited about the technology and its potential!
Tailor Your CV: Customise your CV to reflect the skills and experiences mentioned in the job description. We love seeing how your background aligns with our needs, so don’t be shy about showcasing relevant projects or technologies you've worked with.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re the perfect fit for this role. Share specific examples of your work in R&D or collaborative projects, and let your personality shine through – we value authenticity!
Apply Through Our Website: For the best chance of success, make sure to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at SF Technology Solutions
✨Show Your Passion for AI
Make sure to express your enthusiasm for generative AI and machine learning during the interview. Share specific projects or experiences where you've used technologies like PyTorch or TensorFlow, as this will demonstrate your genuine interest and expertise in the field.
✨Prepare for Technical Questions
Brush up on your technical skills and be ready to tackle questions related to AI and ML concepts. You might be asked to solve problems on the spot, so practice coding challenges and be familiar with the tools mentioned in the job description, like Keras and cloud services.
✨Highlight Collaboration Experience
Since the role involves working within a collaborative R&D team, be prepared to discuss your experience in teamwork. Share examples of how you've successfully collaborated with others on projects, especially in small technical teams, to showcase your ability to work well in a group setting.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask thoughtful questions about the company’s projects and culture. This shows your interest in the role and helps you gauge if it’s the right fit for you. Inquire about their approach to innovation and how they support career development.
