At a Glance
- Tasks: Develop and implement AI solutions to enhance retail operations and drive growth.
- Company: Join Retail Circle, a dynamic tech startup in the luxury retail sector.
- Benefits: Enjoy remote work, 25 days holiday, and a learning budget for personal growth.
- Other info: Work autonomously in a culture that values diversity, fun, and work-life balance.
- Why this job: Be part of an innovative team shaping the future with AI and Web3 technologies.
- Qualifications: Master's degree or equivalent experience in AI, plus 5+ years in machine learning.
The predicted salary is between 43200 - 72000 £ per year.
Retail Circle is committed to hiring and developing exceptional talent.
Full-time (Open to Part-time) / Remote / Mid-Senior level
- Machine Learning: Proven experience with machine learning libraries and frameworks (TensorFlow, PyTorch, scikit-learn)
- Deep Learning: Familiarity with deep learning architectures (CNNs, RNNs) and their applications in relevant domains like image recognition, natural language processing, or recommender systems.
- Data Science: Strong foundation in data science principles, including data analysis, feature engineering, model training, evaluation, and deployment.
- Programming Languages: Expertise in Python for data manipulation, model development, and scripting.
- Cloud Platforms: Experience with cloud platforms like AWS, GCP, or Azure for deploying and managing machine learning models.
- Version Control (Git): Proficient in using Git for version control and collaboration.
What are you going to do:
We are seeking a talented AI / Machine Learning Engineer to join our growing Tech Startup in the Luxury Retail sector. You'll play a pivotal role in developing and implementing cutting-edge AI solutions to enhance our product, optimize operations, and drive business growth.
Responsiblities:
- Design, develop, and deploy machine learning models to solve complex business problems in the retail domain (e.g., text and image analysis, pricing models, recommender systems etc).
- Engineer and maintain data pipelines for data acquisition, cleaning, transformation, and feature engineering.
- Train machine learning models using various algorithms.
- Integrate machine learning models into our existing infrastructure and applications.
- Leverage existing LLMs based on the project requirements.
- Collaborate with software developers and product managers to define and implement AI-powered solutions.
- Stay up-to-date with the latest advancements in AI/Machine Learning research and best practices.
- Document your technical work clearly and concisely for future reference and knowledge sharing.
Requirements:
- Master's degree in Computer Science, Artificial Intelligence, Statistics, or a related field (or equivalent experience).
- 5+ years of experience in developing and deploying machine learning models.
- Strong understanding of machine learning algorithms, deep learning architectures, and statistical concepts.
- Proficiency in programming languages like Python (with libraries like TensorFlow, PyTorch, scikit-learn).
- Experience with data wrangling tools and technologies (e.g., SQL, Spark).
- Excellent communication and collaboration skills to work effectively with cross-functional teams.
- A passion for innovation and a strong desire to apply AI to solve real-world problems.
- Be a part of a growing sector implementing Web3, AI and blockchain infrastructure
- Startup environment where ideas are welcome
- Professional email credentials
- The ability to work with a talented team in a remote environment
- Full autonomy in your role and the opportunity to explore any areas of interest should it meet the vision of the business
- 25 days holiday per year (plus bank holidays)
"Package is subject to relevant experience. It will bias towards performance related bonuses. Retail Circle places emphasis on a culture of learning and growth and everyone has access to a learning and development budget".
Retail Circle Values:
Focus, be bold, do it with fun !
Retail Circle is committed to hiring and developing exceptional talent. We are focusing on having diversity in our teams, working smarter and efficiently. Also, beyond work, cultivating a work‑life‑balance is a new requisite to harness the best of our human resources. It is our vision and way of life.
#J-18808-Ljbffr
AI / Machine Learning Engineer employer: Retail Circle Ltd
Retail Circle is an exceptional employer that fosters a culture of innovation and collaboration within the luxury retail sector. With a strong emphasis on employee growth, you will have access to a dedicated learning and development budget, alongside the flexibility of a remote work environment that encourages autonomy and creativity. Join a dynamic team where your ideas are valued, and enjoy a generous holiday package while contributing to cutting-edge AI solutions that drive business success.
StudySmarter Expert Advice🤫
We think this is how you could land AI / 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 Retail Circle Ltd!
✨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 / Machine Learning Engineer at Retail Circle Ltd.
✨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 Retail Circle Ltd.
✨Apply Directly through Our Website
When you find a suitable opening like AI / Machine Learning Engineer at Retail Circle Ltd, 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 / 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 Retail Circle Ltd, 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 Retail Circle Ltd. 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 Retail Circle Ltd
✨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 Retail Circle Ltd!
✨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.
