At a Glance
- Tasks: Develop and deploy machine learning solutions for retail media and advertising.
- Company: Leading connected commerce marketing business based in London.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on growth and innovation.
- Why this job: Join an innovative team and make a real impact on how brands engage with customers.
- Qualifications: Experience in machine learning, strong Python skills, and ability to work with large datasets.
A leading connected commerce marketing business is seeking a Machine Learning Engineer to join its London-based team on a hybrid basis. The organisation partners with major retailers and global brands, using technology, data and personalised experiences to create meaningful connections with shoppers and deliver measurable campaign results.
In this role, you will contribute to the development of solutions within the retail media and advertising environment. You will work alongside multidisciplinary colleagues to help turn complex commercial and customer data into practical insights, scalable products and improved decision-making. This is an amazing opportunity to join an ambitious organisation focused on innovation, growth and changing the way brands and retailers engage with customers.
Key Responsibilities:
- You will support the design, development and deployment of machine learning solutions that address business and customer challenges across connected commerce marketing. This may include preparing and analysing large datasets, developing predictive models, evaluating performance and improving solutions through experimentation.
- Working collaboratively with data, engineering, product and commercial stakeholders, you will translate business requirements into reliable technical outcomes. You will communicate findings clearly, contribute to sound engineering practices and help ensure that solutions are scalable, maintainable and aligned with business objectives.
- You will also be expected to stay informed about relevant developments in machine learning and apply appropriate methods to real-world problems.
Essential Skills:
- Experience developing and deploying machine learning models in a commercial environment.
- Strong Python skills and familiarity with common machine learning frameworks.
- Experience working with large datasets and building reliable, reproducible data pipelines.
- Understanding of cloud platforms and how to support machine learning solutions in production.
- Ability to evaluate model performance, iterate through experimentation and monitor solutions over time.
- Strong communication skills, with the ability to translate technical findings for non-technical stakeholders.
- A collaborative approach and good software development practice, with an eye for scalable and maintainable solutions.
- Experience working within retail media, advertising or connected commerce environments.
- Ability to turn complex commercial and customer data into practical insights and products.
- Confidence working across multidisciplinary teams in a fast-moving, growth-focused business.
If you are looking for an opportunity to apply your machine learning expertise in a fast-moving connected commerce environment, we would love to hear from you!
Machine Learning Engineer in London employer: Candour Solutions
As an MLOPS Lead at our company, you will thrive in a dynamic and innovative environment that prioritises employee growth and collaboration. With a strong focus on mentoring and coaching, we foster a culture of continuous learning while offering competitive benefits and the opportunity to work in vibrant locations like York or Lisbon. Join us to be part of a forward-thinking team that values your contributions and supports your professional development in the exciting field of machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer in London
✨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 Candour Solutions!
✨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 Machine Learning Engineer at Candour Solutions.
✨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 Candour Solutions.
✨Apply Directly through Our Website
When you find a suitable opening like Machine Learning Engineer at Candour Solutions, 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!
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 Candour Solutions, 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 Candour Solutions. 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 Candour Solutions
✨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 Candour Solutions!
✨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.
