At a Glance
- Tasks: Design and develop AI-driven models for ecommerce automation.
- Company: Leading Ecommerce platform with ambitious plans for 2025.
- Benefits: Starting salary up to £70,000 plus benefits and referral bonuses.
- Other info: Dynamic environment with opportunities for innovation and career growth.
- Why this job: Join a pioneering team and make an impact in AI and trading automation.
- Qualifications: Degree in Computer Science or related field; strong Python skills required.
The predicted salary is between 60000 - 80000 £ per year.
An AI Engineer, with excellent experience in AI / Machine Learning, Python, statistical modelling and cloud-based systems is required by a leading Ecommerce platform. It is a brand-new role and change to join a new team that has big plans for 2025!
Experience Required:
- A degree (BSc, MSc, or PhD) in Computer Science, Artificial Intelligence, Machine Learning, Finance, or a related field
- Strong programming skills in Python, C++, or Java, with experience in AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
- Knowledge of time-series analysis, statistical modelling, and data structures
- Experience working with large-scale financial data, SQL, and cloud-based computing platforms.
- Strong problem-solving skills and the ability to work in a fast-paced, data-driven environment
The Role:
I am looking for a talented AI Engineer to join a cutting-edge trading automation team in Manchester. This is an exciting opportunity to apply your expertise in artificial intelligence and machine learning to develop and optimise high-performance systems.
Key Responsibilities:
- Design, develop, and deploy AI-driven models for automation.
- Utilize machine learning, deep learning, and reinforcement learning techniques to enhance ecommerce strategies.
- Work closely with quantitative analysts and software engineers to integrate AI solutions into ecommerce platforms.
- Analyse large financial datasets to identify patterns and optimize decision-making processes.
- Research the latest advancements in AI and apply innovative solutions to improve performance.
We want to hear from you if you are passionate about AI, trading automation, and cutting-edge financial technology! Apply today to be part of our pioneering team.
My client is looking to pay a starting salary of up to £70,000 + Benefits.
AI Engineer - Ecommerce - Manchester employer: Circle Recruitment
As a Commercial Strategic Lead with our government client, you will be part of a dynamic and supportive work environment that values strategic thinking and collaboration. The hybrid working model allows for flexibility while ensuring you have the opportunity to engage directly with key stakeholders in London, fostering professional relationships that enhance your career growth. With a commitment to employee development and a focus on impactful projects, this role offers a unique chance to contribute to national economic security while enjoying a competitive daily rate.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer - Ecommerce - Manchester
✨Get Involved in Data Science Meetups
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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 Circle Recruitment.
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We think you need these skills to ace AI Engineer - Ecommerce - Manchester
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 Circle Recruitment, 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 Circle Recruitment. 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 Circle Recruitment
✨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 Circle Recruitment!
✨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.
