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- Tasks: Design and deliver innovative ML solutions, guiding customers from concept to production.
- Company: Join Automat-it, a leading tech partner for high-growth startups.
- Benefits: Enjoy professional training, international work, and fun company events.
- Why this job: Shape the future of AI while working with top industry leaders.
- Qualifications: 7+ years in software engineering or ML, with strong Python skills.
- Other info: Hybrid work in London with excellent career growth opportunities.
The predicted salary is between 43200 - 72000 £ per year.
Automat-it is where high-growth startups turn when they need to move faster, scale smarter, and make the most of the cloud. As an AWS Premier Partner and Strategic Partner, we deliver hands-on DevOps, FinOps, and GenAI support that drives real results. We work across EMEA and the US, fueling innovation and solving complex challenges daily. Join us to grow your skills, shape bold ideas, and help build the future of tech.
We’re looking for a Senior AI/ML Architect to help shape how our customers implement AI. In this role, you’ll design scalable, end-to-end ML solutions, from classical models to generative AI, and guide customers from concept to production. You’ll work closely with C-level leaders, data scientists, and engineers to deliver impactful, real-world AI outcomes.
Responsibilities:
- Design and deliver end-to-end ML solutions, including classical ML, deep learning, and generative AI
- Create technical proposals, reference architectures, and deployment plans
- Lead workshops, POCs, and architecture reviews with startup customers
- Translate business needs into scalable ML systems
- Implement distributed training workflows and LLM serving infrastructure
- Build MLOps pipelines for tracking, versioning, and monitoring
- Provide technical guidance to customers and internal teams
- Stay up to date on ML trends and contribute to internal enablement
- Frequent travels - locally (on-demand to meet with customers and partners and attend local events) and abroad (at least once a quarter)
Requirements:
- 7+ years in software engineering, data science, or ML roles
- 3+ years deploying ML solutions in production
- Hands-on experience with AWS ML services (SageMaker, Bedrock, etc.)
- Experience with distributed training (Horovod, Ray, etc.)
- Proven work with generative AI and LLM applications
- Strong Python and ML framework skills (PyTorch, TensorFlow, etc.)
- Experience with MLOps practices and tools
- Strong communication and customer-facing skills
- Familiarity with Docker, Kubernetes, and Terraform – an advantage
- AWS ML Specialty or Solutions Architect certification – an advantage
- Experience with vector DBs, RAG systems, or edge ML – an advantage
- Master’s degree in a relevant field – an advantage
- Industry-specific experience (finance, healthcare, etc.) – an advantage
Benefits:
- Professional training and certifications covered by the company (AWS, FinOps, Kubernetes, etc.)
- International work environment
- Referral program – enjoy cooperation with your colleagues and get a bonus
- Company events and social gatherings (happy hours, team events, knowledge sharing, etc.)
- English classes
- Soft skills training
- Country-specific benefits will be discussed during the hiring process.
Automat-it is committed to fostering a workplace that promotes equal opportunities for all. We firmly believe that cultivating a diverse workforce is crucial to our success. Our recruitment decisions are grounded in your experience and skills, recognizing the value you bring to our team.
Senior AI/ML Architect employer: Automat-it
Contact Detail:
Automat-it Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI/ML Architect
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or conferences related to AI/ML. The more people you know, the better your chances of landing that dream job.
✨Show Off Your Skills
Create a portfolio showcasing your projects and achievements in AI/ML. Whether it's a GitHub repo or a personal website, let your work speak for itself. This is your chance to shine!
✨Ace the Interview
Prepare for technical interviews by brushing up on your ML concepts and coding skills. Practice common interview questions and scenarios. Remember, confidence is key, so believe in yourself!
✨Apply Through Us
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace Senior AI/ML Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior AI/ML Architect role. Highlight your hands-on experience with AWS ML services and any relevant projects you've worked on. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and ML, and how your background aligns with our mission at Automat-it. Let us know what excites you about this opportunity and how you can contribute.
Showcase Your Projects: If you've worked on any interesting ML projects, don't hesitate to mention them! Whether it's a POC or a full-scale deployment, we love seeing real-world applications of your skills. Include links or descriptions that demonstrate your expertise.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Automat-it
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest ML technologies and AWS services like SageMaker and Bedrock. Brush up on your experience with distributed training and generative AI, as these will be key topics during your interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've designed and delivered end-to-end ML solutions. Think about challenges you faced and how you overcame them, especially in a startup environment, as this will resonate with the interviewers.
✨Communicate Clearly and Confidently
Since you'll be working closely with C-level leaders and customers, practice articulating complex technical concepts in a straightforward manner. This will demonstrate your strong communication skills and ability to translate business needs into scalable ML systems.
✨Stay Current with Industry Trends
Familiarise yourself with the latest trends in AI and ML, particularly those relevant to the finance or healthcare sectors. Being able to discuss recent advancements or case studies will show your passion for the field and your commitment to continuous learning.
