At a Glance
- Tasks: Design and develop cutting-edge AI solutions that drive real business impact.
- Company: Join a globally renowned organisation at the forefront of AI technology.
- Benefits: Enjoy a competitive salary, hybrid work model, and professional growth opportunities.
- Other info: Collaborative culture with opportunities for mentorship and career advancement.
- Why this job: Be part of innovative projects that shape the future of AI in enterprise environments.
- Qualifications: Strong Python skills and experience with AI, ML, and NLP libraries required.
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.
Hybrid AI Engineer - London Enterprise GenAI & MLOps employer: Involved Solutions
Join a globally renowned organisation that champions innovation and excellence in AI technology. With a hybrid work model, employees enjoy the flexibility of working three days a week onsite in London, fostering a collaborative and dynamic work culture. The company prioritises employee growth through mentorship opportunities and continuous learning, making it an ideal environment for those looking to advance their careers while contributing to impactful AI solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid AI Engineer - London Enterprise GenAI & MLOps
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and tech space. Attend meetups, webinars, or even local events. 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 MLOps. This gives potential employers a taste of what you can do and sets 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, AI frameworks, and how you've collaborated with stakeholders. Practice makes perfect!
✨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 Hybrid AI Engineer - London Enterprise GenAI & MLOps
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences mentioned in the job description. Highlight your proficiency in Python, MLOps, and any relevant AI frameworks to catch our eye!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how your experience aligns with our needs. Share specific examples of projects you've worked on that demonstrate your full-stack capabilities.
Showcase Your Projects:If you've got any personal or professional projects related to Generative AI or machine learning, don’t hesitate to include them! We love seeing practical applications of your skills.
Apply Through Our Website:For the best chance of getting noticed, make sure to apply directly through our website. It helps us keep track of your application and ensures you’re considered for the role!
How to prepare for a job interview at Involved Solutions
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and the AI, ML, and NLP libraries mentioned in the job description. Brush up on your experience with large language models and be ready to discuss prompt engineering and fine-tuning techniques. This will show that you’re not just familiar with the tools but can also apply them effectively.
✨Showcase Your Project Experience
Prepare to talk about specific projects where you've designed and delivered enterprise AI solutions. Highlight your role in building scalable systems and integrating AI with existing platforms. Use concrete examples to demonstrate how your contributions led to measurable business value.
✨Communicate Like a Pro
Since this role involves collaboration with stakeholders, practice articulating complex technical concepts in simple terms. Be ready to discuss how you’ve managed stakeholder expectations in the past and how you approach technical presentations. Good communication can set you apart from other candidates.
✨Stay Current with AI Trends
Familiarise yourself with the latest advancements in AI technologies and frameworks. Be prepared to discuss how these innovations could impact the role and the company. Showing that you’re proactive about continuous learning will demonstrate your passion for the field and your commitment to innovation.
