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For Companies At a Glance
- Tasks: Design and deploy cutting-edge AI/ML models to solve real-world business challenges.
- Company: Join a forward-thinking tech company in the heart of London.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Be at the forefront of AI innovation and make a tangible impact on industries.
- Qualifications: 10+ years in software engineering with 5+ years focused on AI/ML expertise.
- Other info: Collaborate with top talent and stay ahead in the rapidly evolving AI landscape.
The predicted salary is between 54000 - 84000 £ per year.
An AI/ML Developer is responsible for designing, building, and deploying machine learning models and AI solutions that solve business problems. This role focuses on coding, data preparation, and integrating models into production systems.
Your Responsibilities:
- Model Development: Design, build, and train machine learning models for predictive analytics, classification, NLP, computer vision, or other AI applications. Experiment with algorithms and optimize hyperparameters for performance.
- Data Preparation: Collect, clean, and preprocess large datasets for training and validation. Implement feature engineering and data augmentation techniques.
- Integration & Deployment: Develop APIs or services to integrate ML models into production systems. Work with MLOps tools for model deployment, versioning, and monitoring.
- Performance Optimization: Evaluate models using metrics like accuracy, precision, recall, F1-score. Optimize models for scalability, latency, and resource efficiency.
- Collaboration: Work closely with data scientists, software engineers, and product teams to translate business requirements into ML solutions. Document workflows and maintain reproducibility.
- Research & Innovation: Stay updated with the latest AI/ML frameworks, libraries, and research. Experiment with emerging technologies like deep learning, reinforcement learning, and generative AI.
- Compliance & Ethics: Ensure data privacy, security, and adherence to ethical AI practices. Implement bias detection and mitigation strategies.
Your Profile:
Essential Skills / Knowledge / Experience:
- 10+ years of experience in software engineering, with 5+ years in AI/ML.
- Expert in Python, PyTorch, TensorFlow, and NLP frameworks.
- Proven experience with LLMs, transformer architectures, and LangChain / Hugging Face.
- Strong foundation in algorithms, model evaluation, and ML workflows.
- Deep understanding of BFSI processes: risk management, regulatory compliance, AML/KYC.
- Strong knowledge of cloud platforms, containerization (Docker/Kubernetes), and secure coding practices.
Desirable Skills / Knowledge / Experience:
- 10+ years of experience in software engineering with 5+ years in AI/ML.
- Ability to align AI solutions with long-term business objectives.
AI / ML Architect employer: Stackstudio Digital Ltd.
Contact Detail:
Stackstudio Digital Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI / ML Architect
✨Network Like a Pro
Get out there and connect with folks in the AI/ML space! Attend meetups, webinars, or industry events. You never know who might be looking for someone just like you!
✨Show Off Your Skills
Create a portfolio showcasing your projects and achievements in AI/ML. Whether it's GitHub repos or case studies, let your work speak for itself. We love seeing what you've done!
✨Ace the Interview
Prepare for technical interviews by brushing up on algorithms and ML concepts. Practice coding challenges and be ready to discuss your past projects. Confidence is key, so show us what you’ve got!
✨Apply Through Us
Don’t forget to apply through our website! It’s the best way to get noticed and ensures your application lands directly in our hands. We can’t wait to see your application!
We think you need these skills to ace AI / ML Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the AI/ML Architect role. Highlight your expertise in Python, PyTorch, and TensorFlow, and don’t forget to mention 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/ML and how your background aligns with our needs. Be sure to mention your experience with LLMs and any innovative projects you've tackled.
Showcase Your Projects: If you’ve got a portfolio of projects or contributions to open-source, share them! We love seeing practical applications of your skills, especially in predictive analytics or NLP. It gives us a glimpse into your problem-solving abilities.
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 the StudySmarter team!
How to prepare for a job interview at Stackstudio Digital Ltd.
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest AI/ML frameworks like TensorFlow and PyTorch. Brush up on your knowledge of LLMs and transformer architectures, as these are likely to come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific projects where you've designed and deployed machine learning models. Be ready to explain your thought process, the challenges you faced, and how you overcame them. Real-world examples will make you stand out!
✨Understand the Business Context
Familiarise yourself with BFSI processes and how AI can enhance risk management and compliance. This will help you align your technical skills with the company’s business objectives, showing that you’re not just a techie but also a strategic thinker.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's AI initiatives and future projects. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals. Plus, it makes for a more engaging conversation!
