At a Glance
- Tasks: Develop and prototype AI systems to enhance ad waste detection and prevention.
- Company: Join Lunio, a forward-thinking tech company in Manchester or London.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Dynamic role with excellent career advancement potential.
- Why this job: Make a real impact by leveraging cutting-edge machine learning technologies.
- Qualifications: Strong experience in ML systems, Python, SQL, and cloud environments.
The predicted salary is between 90000 - 90000 £ per year.
As a Senior Machine Learning Engineer at Lunio you will help build new capabilities that expand our value proposition and create new ways for customers to understand, detect, and act on ad waste. You will sit at the intersection of data science, AI, and product development. You will help identify opportunities to extend our core wasteful traffic prevention product, rapidly prototype new capabilities, and turn promising concepts into production-ready solutions in close collaboration with Engineering and Product. The role has a strong 0-to-1 component and will involve developing AI systems, and leveraging LLMs, and/or advanced machine learning techniques where they can create meaningful value for our customers and strengthen our product offering.
Key Responsibilities
- R&D: Own the discovery and development of new capabilities that expand Lunio’s core wasteful traffic prevention product and strengthen our value proposition for customers, from early prototyping through to production-ready MVP.
- Experimentation: Translate customer and product needs into concrete hypotheses, experiments, and POCs, refining solutions as they develop.
- Concept-to-Launch Delivery: Work closely with Engineering and Product to take new capabilities from concept through to launch, ensuring successful prototypes are translated into robust, maintainable, production-ready solutions.
- Pragmatic ML & AI Application: Apply machine learning and AI techniques pragmatically, focusing on areas where they deliver clear customer or product value, and carefully balancing implementation effort against expected impact.
What makes a great Senior Machine Learning Engineer at Lunio?
- Strong experience designing, deploying, and operating production‑grade ML systems, with a proven ability to rapidly prototype ideas and translate them into scalable, production‑ready solutions.
- Deep proficiency in Python and SQL, with strong experience working with large‑scale datasets in cloud environments.
- Strong product and systems thinking, with an eye for scalability, reliability, and explainability.
- Practical and pragmatic — able to balance technical depth with speed and business impact.
You’ll really thrive in this role if you have:
- Proven experience with AWS, including SageMaker, Bedrock, Lambda, S3, and Redshift.
- Familiarity with MLOps best practices: evaluation, deployment, monitoring, and iterative improvement.
- Experience in Adtec, Media, or fraud detection.
- Hands‑on experience with LLM‑based systems and applied AI workflows, including RAG, agentic architectures, and other NLP techniques.
Senior Machine Learning Engineer employer: Lunio
At Lunio, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in the heart of Manchester or London. Our hybrid work culture promotes flexibility while providing ample opportunities for professional growth and development in cutting-edge machine learning and AI technologies. Join us to be part of a dynamic team that values your contributions and empowers you to make a meaningful impact on our customers' success.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning 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 Lunio!
✨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 Senior Machine Learning Engineer at Lunio.
✨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 Lunio.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Machine Learning Engineer at Lunio, 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 Senior Machine Learning 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 Lunio, 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 Lunio. 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 Lunio
✨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 Lunio!
✨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.
