At a Glance
- Tasks: Design and develop cutting-edge AI solutions that make a real impact.
- Company: Globally renowned organisation with a high-performing tech team.
- Benefits: Up to £80,000 salary, hybrid work, and great benefits.
- Other info: Opportunity for mentorship and career growth in a collaborative environment.
- Why this job: Join a dynamic team and innovate in the exciting field of AI.
- Qualifications: Strong Python skills and experience with AI/ML technologies.
The predicted salary is between 80000 - 80000 £ per year.
A globally renowned organisation is seeking an AI Engineer to join a high-performing technology function delivering intelligent, production-grade AI solutions across enterprise environments. This is a hands-on role combining full-stack engineering with advanced AI system development, focused on building scalable, secure and impactful solutions that deliver measurable business value.
The AI Engineer role suits an experienced engineer with strong software foundations and practical expertise across Generative AI, Agentic AI and machine learning, who enjoys working closely with stakeholders and contributing to complex delivery initiatives.
Responsibilities for the AI Engineer:- Design, develop and maintain end-to-end AI solutions spanning front-end interfaces, back-end services and data pipelines
- Build, optimise and deploy AI and machine learning models ensuring solutions are scalable, maintainable and production-ready
- Deliver Generative AI, Agentic AI and classical machine learning solutions aligned to enterprise requirements
- Integrate AI systems with existing enterprise platforms ensuring stability and seamless operation
- Collaborate closely with data scientists, engineers and business stakeholders to identify opportunities and deliver robust solutions
- Provide technical guidance and mentorship to junior engineers, promoting best practice across AI development
- Lead implementation of engineering standards across AI and ML delivery
- Stay current with emerging AI technologies and contribute to continuous innovation
- Strong proficiency in Python with extensive experience using AI, ML and NLP libraries
- Hands-on experience working with modern large language models including prompt engineering, fine-tuning and evaluation
- Practical experience with core Generative AI frameworks and agent-based AI frameworks
- Strong experience with MLOps and LLMOps tooling including model lifecycle management
- Proven deployment experience on major cloud platforms including AI and ML services
- Solid foundation in software engineering principles for scalable, production-grade systems
- Experience designing and delivering enterprise AI solutions including RAG-based architectures using vector databases
- Proven experience delivering full-stack AI or ML systems within enterprise environments
- Strong understanding of advanced agent architectures, reasoning systems and autonomous workflows
- Excellent communication and stakeholder management capability
- Experience supporting proposals, client-facing discussions or technical presentations
If you are an AI Engineer with strong full-stack capability and a passion for delivering enterprise-grade AI solutions, please apply in the immediate instance.
AI Engineer - up to £80,000 + Benefits - Hybrid - London employer: Involved Solutions
Join a globally renowned organisation that values innovation and collaboration, offering an exciting opportunity for AI Engineers to thrive in a hybrid work environment in London. With a strong focus on employee growth, you will benefit from mentorship opportunities, a supportive work culture, and the chance to work on cutting-edge AI solutions that make a real impact. Enjoy competitive remuneration and a comprehensive benefits package while being part of a high-performing team dedicated to excellence in technology.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer - up to £80,000 + Benefits - Hybrid - London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field, attend meetups, and engage in 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 AI projects, especially those involving Generative AI and machine learning. 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 your technical knowledge and soft skills. Be ready to discuss your experience with Python, MLOps, and cloud platforms. Practice common interview questions and think about how you can demonstrate your problem-solving abilities.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for talented AI Engineers like you. Keep an eye on our listings and make sure your application stands out!
We think you need these skills to ace AI Engineer - up to £80,000 + Benefits - Hybrid - London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the AI Engineer role. Highlight your proficiency in Python, experience with AI frameworks, and any relevant projects you've worked on. We want to see how you can bring value to our team!
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 aligns with our needs. Don’t forget to mention your experience with Generative AI and MLOps – we love seeing that enthusiasm!
Showcase Your Projects:If you've worked on any AI or ML projects, make sure to include them in your application. Whether it's a personal project or something from a previous job, we want to see your hands-on experience and how you tackle real-world problems.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your materials in one go. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at Involved Solutions
✨Know Your AI Stuff
Make sure you brush up on your knowledge of Generative AI, Agentic AI, and machine learning. Be ready to discuss specific projects you've worked on, especially those involving Python and AI libraries. This will show that you not only understand the theory but also have practical experience.
✨Showcase Your Full-Stack Skills
Since this role involves full-stack engineering, be prepared to talk about your experience with both front-end and back-end development. Highlight any projects where you've built end-to-end AI solutions, and don't forget to mention your familiarity with MLOps and cloud platforms.
✨Communicate Like a Pro
Strong communication skills are key for this position. Practice explaining complex technical concepts in simple terms, as you'll need to collaborate with various stakeholders. Think of examples where you've successfully communicated your ideas or mentored junior engineers.
✨Stay Current with Trends
The AI field is always evolving, so make sure you're up to date with the latest technologies and trends. Mention any recent advancements you've explored or how you've integrated new tools into your work. This shows your commitment to continuous learning and innovation.
