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- Tasks: Design and lead cloud-based AI/ML solutions for advanced analytics and anomaly detection.
- Company: Join a forward-thinking tech company focused on innovation and collaboration.
- Benefits: Competitive pay, flexible working options, and opportunities for professional growth.
- Why this job: Shape the future of AI/ML while working on impactful projects with cutting-edge technology.
- Qualifications: Experience in ML architecture, data processing, and strong communication skills.
- Other info: Exciting chance for contract extension and career advancement in a dynamic environment.
The predicted salary is between 42000 - 60000 £ per year.
3 months initial contract (very good chance of extending). The AI/ML Solution Architect will design and steer the end‑to‑end architecture of a cloud‑based AI/ML solution focused on advanced analytics, anomaly detection, and operational workflows. The role blends architectural strategy with hands‑on technical leadership across data ingestion, ML pipelines, model development, security controls, and user‑facing analytical components.
The architect will ensure the solution is secure, scalable, cloud‑native, reusable, and aligned to industry best practices while guiding cross‑functional teams to deliver a validated proof‑of‑concept that can extend across multiple datasets and business domains.
- Experience architecting scalable, distributed ML and data processing systems.
- Strong background in ML model design, anomaly detection, graph analytics, and explainability.
- Proficiency in designing cloud-native pipelines, data modelling, and MLOps practices.
- Deep understanding of secure cloud patterns, RBAC, data governance, retention, and lineage.
- Ability to design analytical workflows and integrate ML outputs with downstream tools.
- Strong communication and stakeholder engagement skills across technical and non-technical groups.
Nice to Have Skills:
- Experience with AWS equivalents, such as AWS Glue, AWS SageMaker, AWS Athena, EMR, Lambda, Kinesis, S3.
- Exposure to fraud analytics or financial anomaly detection.
- Familiarity with user-centred design for analytical interfaces.
- Experience working with synthetic data for experimentation.
AI / ML Architect employer: Auxo Talent
Contact Detail:
Auxo Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI / ML Architect
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI/ML space and let them know you're on the hunt for opportunities. You never know who might have a lead or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous projects, especially those related to ML model design and anomaly detection. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with cloud-native pipelines and how you've tackled challenges in past projects.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes it easier for us to keep track of 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 is tailored to the AI/ML Architect role. Highlight your experience with cloud-native solutions, ML pipelines, and any relevant projects that showcase your skills in anomaly detection and data processing.
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. Don’t forget to mention any specific tools or technologies you’ve worked with that are relevant to the job.
Showcase Your Projects: If you've worked on any projects related to ML model design or cloud architecture, make sure to include them. We love seeing real-world applications of your skills, so don’t hold back on the details!
Apply Through Our Website: We encourage you to apply 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 directly!
How to prepare for a job interview at Auxo Talent
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially AWS services like Glue, SageMaker, and Lambda. Brush up on your knowledge of ML model design and anomaly detection, as these will likely come up during technical discussions.
✨Showcase Your Architectural Skills
Prepare to discuss your experience with designing scalable, cloud-native architectures. Be ready to share specific examples of past projects where you’ve successfully implemented ML pipelines or data processing systems, highlighting your hands-on leadership in those scenarios.
✨Communicate Clearly and Confidently
Since strong communication skills are key for this role, practice explaining complex concepts in simple terms. Think about how you can engage both technical and non-technical stakeholders, and be prepared to demonstrate your ability to bridge that gap during the interview.
✨Prepare Questions That Matter
Have a list of insightful questions ready to ask your interviewers. This could include inquiries about their current AI/ML projects, team dynamics, or how they measure success in this role. It shows your genuine interest and helps you assess if the company is the right fit for you.
