At a Glance
- Tasks: Join an R&D team to develop cutting-edge AI solutions for national security.
- Company: High-growth scale-up near Cheltenham focused on innovation.
- Benefits: Starting salary up to £70,000, hybrid work, and extensive personal development.
- Why this job: Be at the forefront of AI technology and make a real impact.
- Qualifications: Experience in software engineering and a passion for AI/ML.
- Other info: Collaborative culture with excellent career growth 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 an 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.
Key Skills
- A software engineering background - Python, JavaScript, Typescript, node.js etc.
- A real passion for bleeding edge generative AI and/or advanced machine learning technology - Pytorch, TensorFlow, LlamaCPP, Keras etc.
- Varied database exposure - PostgreSQL, MongoDB, CosmosDB
- 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
Benefits
- Starting salary of up to £70,000 DoE
- Hybrid working (1/2 days a week in the office)
- Extensive personal development scheme
- 25 days holiday
- Generous pension scheme
- 10% Bonus
- Private healthcare
- 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 Recruitment
Contact Detail:
SF Recruitment 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 folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨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.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions and be ready to discuss your experience with Python, JavaScript, and any relevant AI technologies.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. 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: When writing your application, make sure to highlight your enthusiasm for generative AI and machine learning. We want to see that you’re not just skilled, but genuinely excited about the technology and its potential!
Tailor Your Experience: Don’t just list your skills; connect them to the job description! We love seeing how your background in Python, JavaScript, or any relevant tech aligns with what we’re looking for. Make it personal and relevant!
Communicate Clearly: Strong communication skills are key for us. Ensure your application is well-structured and easy to read. Use clear language to convey your ideas and experiences, showing us you can articulate complex concepts simply.
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 our team!
How to prepare for a job interview at SF Recruitment
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Python, JavaScript, and any other relevant technologies mentioned in the job description. Be ready to discuss your experience with generative AI frameworks like PyTorch or TensorFlow, as well as your exposure to databases and cloud services.
✨Show Your Passion for AI/ML
During the interview, express your enthusiasm for AI and machine learning. Share specific projects or experiences that highlight your passion and how you've applied these technologies in real-world scenarios. This will help demonstrate that you're not just qualified, but genuinely excited about the field.
✨Prepare for Collaborative Scenarios
Since the role emphasises collaboration within an R&D team, be prepared to discuss how you've worked in teams before. Think of examples where you contributed to a project, resolved conflicts, or helped turn ideas into production-ready solutions. This will show that you can thrive in their collaborative culture.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, the types of projects you'll be working on, or the company's vision for AI innovation. This shows your interest in the role and helps you gauge if it's the right fit for you.