AI Engineer - up to 80,000 + Benefits - Hybrid - London

AI Engineer - up to 80,000 + Benefits - Hybrid - London

Full-Time 80000 - 80000 £ / year (est.) On-site
I

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

Essential Skills for the AI Engineer:

  • 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

Involved Solutions is an exceptional employer, offering a dynamic work environment that prioritises collaboration and innovation. With a strong focus on employee growth, you will have the opportunity to lead cross-functional teams while working remotely, ensuring a healthy work-life balance. The company fosters a culture of continuous improvement, making it an ideal place for professionals seeking meaningful and rewarding employment in the public sector.

I

Contact Details:

Involved Solutions Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Engineer - up to 80,000 + Benefits - Hybrid - London

✨Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Involved Solutions or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

✨Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Involved Solutions.

✨Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Involved Solutions.

✨Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Involved Solutions that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace AI Engineer - up to 80,000 + Benefits - Hybrid - London

Python
AI Libraries
Machine Learning
Natural Language Processing (NLP)
Generative AI
Agentic AI
MLOps

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Involved Solutions.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Involved Solutions and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Involved Solutions

✨Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

✨Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Involved Solutions uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

✨Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

✨Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.