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- Tasks: Develop and optimise AI systems for innovative property solutions.
- Company: Established SaaS business transforming the property industry with AI.
- Benefits: Flexible working, competitive salary, and opportunities for professional growth.
- Other info: Work in a dynamic environment with great career advancement potential.
- Why this job: Join a dedicated team and make a real impact in AI technology.
- Qualifications: 3+ years in AI/ML, strong Python skills, and experience with cloud platforms.
The predicted salary is between 50000 - 70000 £ per year.
AI Engineer required for a permanent opportunity with an established SaaS business developing AI-powered platforms for the property industry. You will develop, advance and maintain AI capabilities across client products, architect scalable AI systems, and translate business objectives into AI-driven solutions.
You will be part of a small AI/ML dedicated team within the tech & product function, contributing to the design, development, and implementation of advanced AI/ML models, frameworks, and systems. A notable part of the role involves building, training, and optimizing machine learning models, including deep learning computer vision models, and fine-tuning natural language processing (NLP), and integrating third-party generative AI models.
Responsibilities- Develop, advance and maintain AI capabilities across client products.
- Architect scalable AI systems and collaborate with cross-functional stakeholders to translate business objectives into AI-driven solutions.
- Contribute to the design, development, and implementation of advanced AI/ML models, frameworks, and systems.
- Build, train, and optimize machine learning models, including deep learning computer vision models, and fine-tune NLP models.
- Integrate third-party generative AI models.
- 3+ years of experience in machine learning, deep learning or AI engineering.
- Advanced proficiency in Python and ML frameworks like PyTorch.
- Experience deploying and maintaining scalable production-grade AI systems.
- Strong understanding of data pipelines, MLOps and cloud platforms (AWS and Azure).
- Experience working in small or mid-sized tech/software development environments is advantageous.
The role operates with flexible working – ideally 1 day onsite per week, or 1 day per month for the right candidate.
Employment details- Seniorities: Mid-Senior level
- Employment type: Full-time
- Job function: Information Technology, Marketing, and Product Management
- Industries: Real Estate, IT Services and IT Consulting, and IT System Custom Software Development
If the role matches your skill set and experience, please apply for immediate consideration.
Artificial Intelligence Engineer in England employer: Synapri
Contact Detail:
Synapri Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer in England
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and tech space. Attend meetups, webinars, or even local events. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving machine learning models or NLP. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with Python, PyTorch, and any relevant AI frameworks. Practise explaining complex concepts in simple terms – it shows you really understand your stuff!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, applying directly can sometimes give you a better chance of getting noticed by hiring managers.
We think you need these skills to ace Artificial Intelligence Engineer in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and AI engineering. We want to see how your skills align with the role, so don’t be shy about showcasing your Python proficiency and any relevant projects you've worked on.
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. We love seeing candidates who can connect their personal goals with our mission at StudySmarter.
Showcase Your Projects: If you’ve built or contributed to any AI models or systems, make sure to mention them! We’re keen to see real-world applications of your skills, especially in deep learning and NLP. Include links to your GitHub or portfolio if you have them.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Synapri
✨Know Your AI Stuff
Make sure you brush up on your machine learning and deep learning concepts. Be ready to discuss specific projects you've worked on, especially those involving Python and frameworks like PyTorch. This will show that you not only understand the theory but also have practical experience.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've translated business objectives into AI-driven solutions in the past. Think of examples where you architected scalable AI systems or optimised machine learning models. This will demonstrate your ability to think critically and apply your skills effectively.
✨Familiarise Yourself with Their Tech Stack
Research the company’s use of cloud platforms like AWS and Azure, as well as their approach to MLOps. Being knowledgeable about their tech stack will help you engage in meaningful conversations and show that you're genuinely interested in the role.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the team dynamics, the AI projects they’re currently working on, or their vision for future developments. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.