At a Glance
- Tasks: Design and build innovative AI systems that enhance personalised learning experiences.
- Company: Join a pioneering organisation transforming education through AI technology.
- Benefits: Competitive salary, flexible working, annual training budget, and home office allowance.
- Other info: Collaborate with a global team and enjoy exciting company retreats.
- Why this job: Shape the future of AI products and make a real impact on learners worldwide.
- Qualifications: Experience in AI product development, strong Python skills, and a passion for problem-solving.
The predicted salary is between 80000 - 100000 £ per year.
Principle AI Engineer
Salary: 100k+ We're working with an innovative organisation that's redefining how people learn through AI.
They are building next-generation AI products that deliver personalised, real-time learning experiences at scale and are looking for a Principal AI Engineer to play a pivotal role in shaping the future of their AI platform.
This is not an infrastructure or MLOps-focused role.
They're looking for experienced AI builders who have designed, developed and shipped AI products in commercial environments and are passionate about solving complex problems with cutting-edge technologies.
The Opportunity As a Principal AI Engineer, you'll work on the core AI systems that power adaptive and intelligent user experiences.
You'll have the opportunity to build sophisticated LLM-based applications, experiment with emerging AI capabilities and contribute to products that have a genuine impact on end users.
Key Responsibilities Design, build and evolve complex AI systems using Large Language Models (LLMs), prompt architectures and agentic workflows.
Develop real-time, adaptive AI capabilities that deliver personalised and intelligent user experiences.
Create custom evaluation frameworks and metrics to measure model performance, reliability and product effectiveness.
Design scalable, maintainable software solutions using Python and modern cloud technologies.
Integrate AI capabilities across platform systems, content pipelines and user-facing products.
Prototype and productionise novel AI interactions by leveraging the latest developments in AI research.
Implement testing, monitoring and guardrails to ensure quality, safety and observability across AI systems.
Collaborate with cross-functional teams to translate customer and business requirements into impactful AI products.
Mentor others and contribute to a culture of technical excellence and continuous learning.
What We're Looking For We're looking for hands-on AI engineers who can demonstrate ownership of the products they've built.
You'll ideally have: Commercial experience designing and delivering AI products and solutions.
Strong experience building LLM-based applications and AI-driven products.
Excellent prompt engineering skills and experience designing agentic systems and workflows.
Strong software engineering fundamentals with expertise in Python.
Experience working with cloud environments and CI/CD practices.
A product mindset with a focus on customer outcomes and business value.
The ability to work across strategy, engineering and product development.
Experience creating meaningful AI evaluation methods and custom performance metrics.
Excellent problem-solving and communication skills.
What's On Offer Competitive salary and benefits package.
Flexible and remote-friendly working arrangements.
Annual learning and development budget for conferences and training.
Annual home office and IT equipment allowance.
Opportunities to collaborate with an international, high-performing team.
Global company retreats and team events.
The opportunity to work on cutting-edge AI products that are shaping the future of personalised learning.
If you're a hands-on AI engineer who loves building products, experimenting with emerging technologies and delivering real customer impact, we'd love to hear from you.
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Principle Engineer employer: ANSON MCCADE
Anson McCade is an exceptional employer that prioritises employee well-being and professional growth, offering a flexible remote working environment in the UK. With a strong focus on security and digital transformation, employees benefit from comprehensive training programmes and clear pathways for career advancement, all while contributing to impactful projects alongside talented teams and senior stakeholders.
StudySmarter Expert Advice🤫
We think this is how you could land Principle Engineer
✨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 ANSON MCCADE!
✨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 Principle Engineer at ANSON MCCADE.
✨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 ANSON MCCADE.
✨Apply Directly through Our Website
When you find a suitable opening like Principle Engineer at ANSON MCCADE, 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 Principle Engineer
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 ANSON MCCADE, 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 ANSON MCCADE. 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 ANSON MCCADE
✨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 ANSON MCCADE!
✨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.
