At a Glance
- Tasks: Transform complexity into measurable outcomes using AI and data technologies.
- Company: Keyrus, a global leader in AI and data solutions.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Join a dynamic team and master the art of bridging data and human decision-making.
- Why this job: Become a key player in shaping the future of intelligent enterprises.
- Qualifications: Experience in AI engineering and strong stakeholder engagement skills.
The predicted salary is between 58000 - 87000 £ per year.
Keyrus is an international group of 2,800 consultants and experts across 28 countries, built on a single conviction: AI does not transform businesses. Architected intelligence does. For more than 30 years, we have been building the data foundations that make intelligent systems work — designing the Operating System of the intelligent enterprise, where intelligence is embedded into the core of business processes to create sustainable value: we operationalise intelligence.
AI does not replace humans. It repositions us to a place no system can follow: understanding, deciding, designing, and creating. At Keyrus, you will not just develop skills — you will develop judgment. Your expertise sharpens with every system you architect, every client challenge you solve, and every deployment that compounds on the last. Over time, you grow into one of the rarest professionals of the intelligence era: someone who bridges data, AI, and human decision‑making at scale, across industries and geographies. This is not a role you fill. It is a discipline you master and a story you help write to become a Keyrus Architect of Intelligence.
Technology amplifies. Keyrus culture differentiates. Industrial discipline connects the two.
Role Details
- Job location: London – UK (Hybrid, flexible)
- Contract type: Employee or Inside IR35
- Target start date: August 2026
- Working hours: Full-time (40h/ week)
- Compensation: £58k – £87k (Senior Level)
What You'll Architect
As an AI Engineer & Lead, you will help organisations transform complexity into measurable outcomes by combining artificial intelligence, data, semantic technologies, and human decision-making. This role is both technical and consultative — ideal for someone who can combine hands‑on engineering, AI solution design, and direct stakeholder engagement. Working closely with analysts, researchers, engineers, and business leaders, you will design and deliver AI-powered solutions that transform how organisations discover, understand, and interact with data.
Operating in a manner similar to a Forward Deployed Engineer (FDE), you will own initiatives from problem discovery through implementation, deployment, and optimisation, translating complex business challenges into scalable, production‑ready solutions.
AI Engineer & Lead employer: Keyrus UK
At Keyrus, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our London-based team enjoys a hybrid work environment that promotes flexibility while providing ample opportunities for professional growth and development in the rapidly evolving field of AI. Join us to not only enhance your technical skills but also to become a pivotal player in shaping the future of intelligent enterprises.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer & Lead
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Keyrus UK!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like AI Engineer & Lead at Keyrus UK.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Keyrus UK.
✨Apply Directly through Our Website
When you find a suitable opening like AI Engineer & Lead at Keyrus UK, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace AI Engineer & Lead
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Keyrus UK, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Keyrus UK. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Keyrus UK
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Keyrus UK!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
