At a Glance
- Tasks: Design and implement cutting-edge AI solutions for strategic customers.
- Company: Leading technology services organisation with a focus on innovation.
- Benefits: Attractive salary, remote work options, and professional development opportunities.
- Other info: Exciting career growth in a collaborative, remote working environment.
- Why this job: Join a dynamic team and drive impactful AI transformation projects.
- 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 (Senior/Lead), you will play a crucial consultative role, supporting key strategic customers in the design and implementation of cutting-edge AI solutions.
You 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, 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.
Previous experience in a customer-facing, deployed/consulting senior engineer role is essential, with a passion for and knowledge in generative AI models, such as GPT, Claude, Gemini, DALL-E, Stable Diffusion, etc.
Remote working/work at home options are available for this role.
AI Consulting Engineer - Python, Infrastructure, AI, Remote (UK) in Milton Keynes employer: NST Recruitment Ltd
Join a leading technology services organisation that prioritises innovation and employee growth, offering an attractive salary and comprehensive benefits. As an AI Consulting Engineer (Senior/Lead), you will thrive in a collaborative remote work culture, engaging with strategic customers on transformative AI projects while enjoying opportunities for professional development in a rapidly evolving field.
StudySmarter Expert Advice🤫
We think this is how you could land AI Consulting Engineer - Python, Infrastructure, AI, Remote (UK) in Milton Keynes
✨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. 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 Python, PyTorch, or TensorFlow. This is your chance to demonstrate your hands-on experience with generative AI models and LLMs.
✨Tip Number 3
Prepare for interviews by brushing up on your consultative skills. Practice explaining complex AI concepts in simple terms. Remember, communication is key when working with stakeholders and clients!
✨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 AI Consulting Engineer - Python, Infrastructure, AI, Remote (UK) in Milton Keynes
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 achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about generative AI and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects:If you've worked on any cool AI projects, make sure to mention them! Whether it's building LLMs or using generative models, we want to know what you've done. Include links or descriptions that demonstrate your hands-on experience.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our awesome team at StudySmarter!
How to prepare for a job interview at NST Recruitment Ltd
✨Know Your Tech Inside Out
Make sure you brush up on your Python and JavaScript skills, as well as the ML libraries like PyTorch and TensorFlow. Be ready to discuss specific projects where you've used these technologies, especially in building LLMs or agentic systems.
✨Showcase Your Consulting Skills
Since this role involves a lot of client interaction, prepare examples that highlight your experience in customer-facing roles. Think about how you've successfully managed stakeholder expectations and delivered solutions in complex environments.
✨Be Ready for Technical Questions
Expect some deep dives into generative AI models like GPT or DALL-E. Brush up on the latest trends and be prepared to explain how these models work and their applications in real-world scenarios.
✨Communicate Clearly and Confidently
Your communication skills are just as important as your technical expertise. Practice explaining complex concepts in simple terms, and be ready to engage in discussions with both technical and non-technical stakeholders.
