Senior AI Solutions Engineer & Manager in London

Senior AI Solutions Engineer & Manager in London

London Full-Time 63000 - 77000 £ / year (est.) Home office (partial)
A

At a Glance

  • Tasks: Design and build AI solutions that make a real impact in the business world.
  • Company: Join a leading tech firm focused on innovative AI capabilities.
  • Benefits: Earn up to £80,000, enjoy hybrid working, and generous leave.
  • Other info: Work in a dynamic team with excellent growth opportunities.
  • Why this job: Be at the forefront of AI technology and shape the future of work.
  • Qualifications: Experience in AI solutions, Python, and Azure is essential.

The predicted salary is between 63000 - 77000 £ per year.

This Senior AI Automation Engineer position offers the chance to work on projects that move quickly from concept into production. You’ll build solutions that are used by real users and have measurable business impact. You’ll sit within a highly visible team that is investing heavily in modern AI capabilities.

What you’ll be doing:

  • You’ll design and build AI agents, automation workflows and production-grade applications using Python, Azure and Microsoft AI technologies.
  • Working closely with technology and business stakeholders, you’ll integrate AI solutions into existing platforms, develop reusable engineering components and help establish best practices across the team.
  • You’ll also support technical design reviews, contribute to engineering standards and help ensure solutions are scalable, reliable and secure.
  • This is a fantastic opportunity for someone who enjoys solving complex problems and building technology that genuinely improves the way people work.
  • You’ll also help define the future of the team’s engineering capability.

What experience you’ll need to apply:

  • Several years of commercial experience building and deploying AI-powered solutions (ideally within medium to large organisations).
  • Strong hands-on experience with Microsoft Copilot Studio, ideally including the design and deployment of AI agents over the last 12 months or more.
  • Strong Python development experience, including building production-ready applications, APIs and automation workflows.
  • Experience working with Azure, particularly within AI, automation or cloud-based development environments.
  • Experience implementing AI solutions in production environments rather than purely proof of concept work.
  • Strong understanding of AI orchestration, agent design and systems integration.
  • Experience working closely with stakeholders to understand business challenges and turn them into technical solutions.
  • Experience operating within professional services, financial services, insurance, tax or other regulated environments would be highly beneficial.
  • Previous experience providing technical leadership, mentoring engineers or helping establish engineering standards would be advantageous.

Please note that this role is best suited to candidates who have been applying AI within a commercial business environment rather than solely through freelance, consultancy or personal projects.

What you’ll get in return for your experience:

A salary of up to £80,000 plus discretionary bonus, alongside hybrid working, generous annual leave, wellbeing benefits, ongoing professional development and the opportunity to join a highly visible and rapidly expanding AI function.

Location & Working Pattern:

This role can be based from either Birmingham, London or Manchester, with a hybrid working model of three days per week in the office. Please note that sponsorship is not available for this position. Applicants must already have the unrestricted right to work in the UK on a permanent basis. Unfortunately, applications from candidates who require sponsorship now or in the future cannot be considered.

Senior AI Solutions Engineer & Manager in London employer: Adlib

Join a forward-thinking company that values innovation and collaboration, offering a dynamic work culture where your contributions directly impact business decisions. With competitive benefits and ample opportunities for professional growth, this role in data management not only allows you to hone your technical skills but also empowers you to lead initiatives that drive meaningful change. Located in a vibrant area, you'll enjoy a supportive environment that fosters creativity and teamwork.

A

Contact Details:

Adlib Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior AI Solutions Engineer & Manager in 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 Adlib 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 Adlib.

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 Adlib.

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 Adlib 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 Senior AI Solutions Engineer & Manager in London

AI Solutions Design
Python Development
Microsoft Copilot Studio
Azure
AI Orchestration
Systems Integration
Automation Workflows

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 Adlib.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Adlib 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 Adlib

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 Adlib 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.