At a Glance
- Tasks: Design and implement cutting-edge AI solutions for strategic customers.
- Company: Leading tech services organisation with a focus on innovation.
- Benefits: Attractive salary, remote work, and exciting career growth opportunities.
- Other info: Work remotely in a collaborative environment with top-tier clients.
- Why this job: Join a dynamic team and make an impact in the AI landscape.
- Qualifications: 3+ years in software engineering, strong Python/JavaScript skills, and AI/ML experience.
The predicted salary is between 60000 - 80000 € per year.
This is a fantastic opportunity to work with a leading technology services organisation, driving AI solution design and implementation for key strategic customers.
The role is remote working, based in the UK. As an AI Consulting Engineer, you will play a crucial consultative role, supporting key strategic customers in the design and implementation of cutting-edge AI solutions.
The ideal candidate will have excellent knowledge of programming languages such as Python and JavaScript, as well as Machine Learning libraries such as PyTorch and TensorFlow, with experience in building LLMs and agentic systems. Demonstrated hands-on experience with generative AI models such as GPT, Claude, Gemini, DALL-E, Stable Diffusion, etc., is expected.
Credible experience in a customer-facing, consultative software engineering role is essential, along with excellent communication and stakeholder management skills, able to work cross-functionally with Technical, Sales, and Product teams.
Key Skills:
- 3+ years experience in software engineering, ideally focused on AI/ML development.
- Excellent programming knowledge in Python and/or JavaScript.
- Experience using ML libraries/frameworks such as PyTorch, TensorFlow, etc.
- Experience building LLMs and agentic systems (desirable).
- Sound AI software market knowledge.
- Experience in client-side engagement and technical consultancy.
- Solution-led, entrepreneurial attitude.
- Excellent communication and stakeholder management skills.
- Ability to create value in complex technical environments.
This is an exceptional opportunity, with exciting opportunities to support critical AI transformation projects for key strategic customers.
AI Consulting Engineer - Python, Infrastructure, AI, Remote (UK) employer: NST Recruitment Ltd
Join a leading technology services organisation that champions innovation and excellence in AI solutions. As an AI Consulting Engineer, you'll benefit from a supportive remote work culture in the UK, with access to continuous professional development and a competitive salary package. Embrace the opportunity to work on transformative projects while collaborating with talented professionals in a dynamic environment that values creativity and technical expertise.
StudySmarter Expert Advice🤫
We think this is how you could land AI Consulting Engineer - Python, Infrastructure, AI, Remote (UK)
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and tech space. Attend meetups, webinars, or even online forums where you can chat with industry folks. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, PyTorch, or TensorFlow. Having tangible examples of your work can really set you apart when chatting with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your consultative skills. Practice explaining complex AI concepts in simple terms. Remember, as an AI Consulting Engineer, you'll need to communicate effectively with clients who may not be tech-savvy.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you. Plus, it’s a great way to ensure your application gets seen by the right people in our team.
We think you need these skills to ace AI Consulting Engineer - Python, Infrastructure, AI, Remote (UK)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, AI, and any relevant frameworks like PyTorch or TensorFlow. We want to see how your skills align with the role, so don’t be shy about showcasing your generative AI projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you a perfect fit for our team. We love seeing enthusiasm and a bit of personality in your writing.
Showcase Your Customer Engagement Skills:Since this role involves consulting with key customers, highlight any previous experience where you’ve successfully engaged with clients. We’re looking for those excellent communication skills that can bridge technical and non-technical conversations.
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’re considered for this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at NST Recruitment Ltd
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Python, PyTorch, and TensorFlow. Be ready to discuss your hands-on experience with generative AI models like GPT and DALL-E. The more specific examples you can provide about your past projects, the better!
✨Show Off Your Consulting Skills
Since this role is customer-facing, prepare to demonstrate your stakeholder management skills. Think of scenarios where you've successfully engaged with clients or collaborated with cross-functional teams. Highlight how you created value in complex technical environments.
✨Prepare for Technical Questions
Expect some deep dives into your technical expertise. Brush up on machine learning concepts and be ready to solve problems on the spot. Practising coding challenges or discussing your thought process on AI solutions can really set you apart.
✨Communicate Clearly and Confidently
Your communication skills are just as important as your technical abilities. Practice explaining complex AI concepts in simple terms. This will show that you can effectively communicate with both technical and non-technical stakeholders.
