Senior ML Solutions Architect
Senior ML Solutions Architect
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Job Description
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 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 ML Solutions Architect to help shape how our customers implement 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.
Work location - hybrid from London
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).
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.)
- Wellbeing and professional coaching
- 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.
#LI-Hybrid #LI-AIT
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
Remote Work :
Yes
Employment Type :
Full-time
Employment Type
Remote
