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- Tasks: Design and implement AI solutions to tackle real-world problems in a collaborative environment.
- Company: Join RedCloud, a pioneering provider revolutionising B2B commerce with innovative AI solutions.
- Benefits: Enjoy 25 days annual leave, enhanced pension, private healthcare, and access to exclusive discounts.
- Why this job: Be part of a dynamic team shaping the future of global trade with cutting-edge technology.
- Qualifications: 6+ years in software engineering, 2+ years in AI/ML, strong problem-solving skills.
- Other info: Embrace continuous learning and contribute to a supportive, growth-focused team culture.
The predicted salary is between 28800 - 48000 £ per year.
About RedCloud
We are revolutionizing B2B commerce by delivering scalable, innovative solutions that empower businesses to grow and thrive in a competitive landscape. Our AI powered platform streamlines logistics, payments, and supply chain operations, making it easier for companies to connect, transact, and succeed. With a diverse and dynamic team, we’re committed to driving impact, fostering collaboration, and shaping the future of global trade.
The Role
We’re seeking a Senior Software Engineer with strong experience in AI to join our team. In this role, you will have the opportunity to tackle real-world problems, using a mixture of traditional software engineering, AI and machine learning to design and implement solutions that drive our products and services forward. We are looking for a collaborative thinker who thrives in a problem-solving environment, with a focus on building creative AI solutions. This is an ideal role for someone who enjoys exploring new technologies and has a knack for breaking down complex problems into actionable components.
What you’ll be doing:
- AI & Machine Learning Solutions: Design, develop, and implement AI models and machine learning algorithms to solve complex, real-world problems. Work with cross-functional teams to identify opportunities where AI can improve products, services, or internal processes. Integrate AI and machine learning models into production software systems in a scalable and maintainable way.
- Problem Solving & Innovation: Analyse complex data sets and technical challenges to develop innovative, creative AI solutions. Use your software engineering expertise to piece together different tools, frameworks, and algorithms to create unique solutions. Work collaboratively with the team to brainstorm, prototype, and refine AI solutions.
- Software Development & Integration: Leverage your background in software engineering to develop clean, efficient code that supports the deployment of AI models and solutions. Ensure that AI models integrate seamlessly with existing systems, and collaborate with software development teams to build robust and scalable applications.
- Collaboration & Learning: Work in close collaboration with data scientists, engineers, and product teams to define AI requirements and deliver innovative solutions. Continuously learn and stay updated on emerging AI tools, techniques, and industry best practices. Share your knowledge and contribute to a collaborative environment where team members support each other’s growth and development.
What you’ll need:
- At least 6+ years of experience in software engineering, with strong proficiency in C#, Node.JS, Databases (SQL, NoSQL) and 2+ years of experience working with AI/ML technologies, frameworks (e.g., TensorFlow, PyTorch), and developing machine learning models with Python.
- Strong problem-solving skills and the ability to break down complex challenges into manageable, actionable tasks.
- An interest in working across both software engineering and AI, with the ability to piece together solutions using a variety of tools and techniques.
- Excellent communication skills, with a collaborative approach to working within diverse teams.
- A passion for continuous learning and personal development, with a willingness to explore new ideas and approaches.
- Familiarity with MLOps (Machine Learning Operations) practices, including the deployment, monitoring, and maintenance of AI/ML models in production environments and experience with cloud platforms and deploying AI/ML models in production environments.
Even if you don’t meet every requirement, we still encourage you to apply. Your unique experiences and perspectives might be just what we’re looking for.
Benefits
Working with a pioneering provider of eCommerce solutions you will have the opportunity to join an international company who are growing massively, we encourage ambition and creativity. Plus, you will get:
- 25 Days Annual leave, increasing to 26 days after 12 months in the business
- Enhanced Company Pension (Matched up to 5% & Salary Sacrifice)
- Healthcare Cashplan with Medicash
- Private Healthcare with Aviva
- Life Insurance with AIG
- Happl, our benefit platform which provides access to pre-negotiated discounts on a wide variety of services including entertainment, food, and fitness.
- Stock / Equity
Check out the links below to see what our CEO Justin Floyd has to say about our plans for growth for the year ahead, and to see our latest video on the mission we’re on!
RedCloud I Red101 App I Open Commerce
AI Engineer in London employer: RedCloud
Contact Detail:
RedCloud Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, GitHub contributions, or any relevant work. This gives you a chance to demonstrate your expertise and creativity beyond just a CV.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI and software engineering. Use mock interviews with friends or online platforms to build confidence and refine your answers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at RedCloud.
We think you need these skills to ace AI Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Engineer role. Highlight your experience with AI and machine learning, and don’t forget to showcase your software engineering skills. We want to see how your unique background fits into our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how you can contribute to our team. Be sure to mention any innovative projects you've worked on that align with our goals at RedCloud.
Showcase Problem-Solving Skills: In your application, give examples of how you've tackled complex problems in the past. We love collaborative thinkers who can break down challenges into manageable tasks, so share your thought process and solutions!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at RedCloud!
How to prepare for a job interview at RedCloud
✨Know Your AI Stuff
Make sure you brush up on your AI and machine learning knowledge. Be ready to discuss specific frameworks like TensorFlow or PyTorch, and have examples of how you've used them in past projects. This will show that you’re not just familiar with the concepts but can also apply them effectively.
✨Showcase Problem-Solving Skills
Prepare to talk about complex problems you've tackled in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers. Highlight how you broke down challenges into manageable tasks and the innovative solutions you developed.
✨Collaborate Like a Pro
Since collaboration is key in this role, think of examples where you’ve worked closely with cross-functional teams. Be ready to discuss how you communicated ideas and contributed to team success, as well as how you handled any conflicts or differing opinions.
✨Stay Curious and Eager to Learn
Express your passion for continuous learning and staying updated on emerging AI tools and techniques. Share any recent courses, workshops, or projects that demonstrate your commitment to personal development and innovation in the field.
