At a Glance
- Tasks: Design and deploy cutting-edge agentic AI systems for real-world applications.
- Company: Join a fast-moving team at the forefront of applied AI.
- Benefits: Competitive salary, bonuses, remote work, and opportunities for international collaboration.
- Other info: Dynamic environment with significant growth potential in the AI ecosystem.
- Why this job: Make a real impact by delivering production-ready AI systems that serve thousands.
- Qualifications: Experience in AI engineering and a passion for innovation.
The predicted salary is between 36000 - 60000 £ per year.
AI Engineer / Forward Deployed AI Engineer
PE-Backed Consulting Firm with Unicorn Status Trajectory!🦄
📍Central London
💰£60k - £80k
We’re partnering with a fast-growing, PE-backed technology consultancy that develops and deploys engineering talent into some of the UK’s largest organisations.
As part of a major investment in its AI capability, the business is hiring both AI Engineers and Forward Deployed AI Engineers to build production-ready solutions and help enterprise clients adopt them successfully.
These roles are particularly well suited to ambitious second or third jobbers who have developed strong technical foundations and now want broader exposure, faster progression and the opportunity to move into consulting.
The Opportunities
👉AI Engineer
You’ll focus primarily on designing and building AI-powered applications and systems. This could include generative AI, agentic workflows, RAG, machine learning solutions and intelligent automation.
You’ll work across the full engineering lifecycle, from experimentation and prototyping through to testing, deployment and ongoing improvement.
👉Forward Deployed AI Engineer
You’ll combine hands-on engineering with direct client delivery. Working closely with enterprise customers, you’ll help identify valuable problems, shape the right solution and take it from initial discovery through to production.
This pathway will suit someone who enjoys the technical work but also wants greater exposure to clients, stakeholders and commercial decision-making.
What You’ll Be Doing
Depending on the pathway, you’ll:
- Design, build and deploy production-ready AI solutions
- Develop applications using Python and modern AI technologies
- Work with generative AI, LLMs, RAG, agents and automation
- Turn business requirements into practical technical solutions
- Build prototypes and take successful concepts into production
- Test, evaluate and improve the reliability of AI systems
- Collaborate with software, data, cloud and product teams
- Work directly with enterprise clients and technical stakeholders
- Contribute to reusable engineering patterns and best practices
What We’re Looking For
You don’t need previous consulting experience, but you should bring:
- Commercial experience in software, data, machine learning or AI engineering
- Strong programming skills, ideally using Python
- Exposure to building AI, ML or data-driven applications
- An understanding of good software engineering principles
- Curiosity about generative AI and emerging technologies
- The ability to explain technical ideas clearly
- A practical, problem-solving mindset
- An interest in working across different clients, industries and challenges
For the Forward Deployed pathway, you’ll also need to enjoy client interaction and feel comfortable working with both technical and non-technical stakeholders.
Why Join?
This is an opportunity to move beyond isolated prototypes and work on AI systems designed to deliver genuine value in production.
You’ll gain exposure to major enterprise environments, varied technical challenges and the complete delivery lifecycle—while receiving the support and development needed to accelerate your career.
Artificial Intelligence Engineer employer: Omnis Partners
As the Head of Marketing Effectiveness for a leading global consumer brand based in London, you will thrive in a dynamic and innovative work culture that prioritises creativity and collaboration. The company offers competitive compensation, robust employee growth opportunities, and a hybrid working model that promotes work-life balance, making it an excellent employer for those seeking meaningful and rewarding careers in marketing.
StudySmarter Expert Advice🤫
We think this is how you could land Artificial Intelligence Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the AI space, attend meetups, and join online forums. The more connections you make, the better your chances of landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving agentic AI systems. This will give potential employers a taste of what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with AI orchestration and deployment challenges — they want to see how you think!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Artificial Intelligence Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of an Artificial Intelligence Engineer. Highlight your experience with agentic systems, memory management, and any relevant projects that showcase your skills in building robust tooling.
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 mission at StudySmarter. Don’t forget to mention specific projects or technologies you’ve worked with that relate to the job description.
Showcase Your Projects:If you’ve worked on any relevant projects, make sure to include them in your application. Whether it’s a personal project or something from your previous job, demonstrating your hands-on experience with AI systems will set you apart from the crowd.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Omnis Partners
✨Know Your AI Stuff
Make sure you brush up on the latest trends in agentic AI and multi-agent systems. Be ready to discuss your experience with designing and deploying AI systems, especially how you've tackled challenges in production environments.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've approached complex problems in your previous roles. Think about times when you had to design robust tooling or manage memory effectively — these are key aspects of the job!
✨Understand the Company’s Vision
Research the company’s projects and their impact on the AI ecosystem. Being able to articulate how your skills align with their goals will show that you're genuinely interested and invested in the role.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, project timelines, and the technologies they use. This not only shows your enthusiasm but also helps you gauge if the company culture is the right fit for you.
