Join to apply for the Senior Cloud Architect, ML/AI role at DoiT

3 days ago Be among the first 25 applicants

Join to apply for the Senior Cloud Architect, ML/AI role at DoiT

Get AI-powered advice on this job and more exclusive features.

Location

Our Senior Cloud Architect will be an integral part of our Cloud Reliability Engineering team in the UK, Ireland, Estonia, Netherlands, Sweden and Spain. The role is also available to contractors in other Eastern European locations / Portugal.

Location

Our Senior Cloud Architect will be an integral part of our Cloud Reliability Engineering team in the UK, Ireland, Estonia, Netherlands, Sweden and Spain. The role is also available to contractors in other Eastern European locations / Portugal.

Who We Are

DoiT is a global technology company that works with cloud-driven organizations to leverage the cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state - from planning to production.

Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency.

With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide.

The Opportunity

As a Senior Cloud Architect, you will be part of our global CRE team, working with rapidly growing companies in EMEA and around the world. This role offers you the chance to:

• Apply your hands-on experience & skills in a consultative manner to address our customers’ strategic and tactical needs around cloud technologies
• Grow your technical and interpersonal skills by addressing customer challenges in your daily work and leveraging dedicated time allocated by the company for learning new technologies and engaging in internal initiatives
• Strengthen your personal brand through thought leadership activities such as blogging, public speaking, and participation in technology events
  
  

• Minimum of 4+ years of experience in architecting, deploying, and managing cloud-based AI/ML solutions.
  
  

• Expertise in architecting, developing, and troubleshooting large production-grade distributed systems on AWS, and selecting the appropriate tools to address business problems at the correct scale.
• Advanced proficiency in AWS, with a focus on Generative AI and machine learning services. Certified AWS Solutions Architect Professional and/or AWS Machine Learning Specialty
• Proven track record of architecting, deploying, and optimizing complex cloud solutions for AI-driven workloads.
  
  

• Expertise in Amazon Bedrock for deploying foundation models and managing scalable GenAI workloads.
• Proficiency in fine-tuning and deploying Large Language Models (LLMs) and multimodal AI using Amazon SageMaker JumpStart and Hugging Face on AWS.
• Experience leveraging Amazon Q (formerly AWS CodeWhisperer) Business and Developer for AI-powered coding productivity and automation.
  
  

• In-depth knowledge of Amazon SageMaker, including Pipelines, Model Monitor, Data Wrangler, and SageMaker Clarify for bias detection and interpretability.
• Skilled in distributed model training with multi-GPU clusters and optimization for high-performance inference.
  
  

• Proficient in building data pipelines with Amazon S3, AWS Glue, Lake Formation, and Redshift for AI and ML workloads.
• Experienced in optimizing data preparation for large-scale AI model training and inference workflows.
  
  

• Expertise in building end-to-end AI pipelines using AWS Lambda, Step Functions, and API Gateway for real-time AI inference and automation.
• Familiarity with containerized AI deployments using Amazon EKS and AWS Fargate.
  
  

• Hands-on experience with CI/CD pipelines for AI/ML workflows using AWS CodePipeline, CodeBuild, and SageMaker Pipelines.
• Proficiency in monitoring and maintaining AI systems with Amazon CloudWatch and SageMaker Model Monitor.
  
  

• Strong understanding of AI governance, incorporating IAM, AWS Key Management Service (KMS), and compliance frameworks.
• Knowledgeable in AI ethics, bias detection, and accountability using tools like SageMaker Clarify.
  
  

• Up-to-date on Generative AI advancements such as RLHF (Reinforcement Learning with Human Feedback), foundation model fine-tuning, and hybrid AI architectures.
• Familiarity with integrating open-source tools like Hugging Face Transformers and AWS-native solutions.
  
  

• Good knowledge and understanding of Google Cloud AI tools such as Vertex AI, Cloud AutoML, and BigQuery ML, enabling effective integration in multi-cloud environments.
  
  

• Proven ability to mentor team members and enable cross-functional collaboration to foster technical growth and innovation.
• Skilled in creating knowledge-sharing platforms and hands-on workshops to enhance team capabilities.
  
  

• Passion for technology, with a demonstrated ability to quickly learn and stay up to date with industry trends.
• Data certification is a major advantage (e.g., Stanford, Coursera, Udacity, MIT, eCornell, or any Data certification with AWS/GCP).
• BA/BS degree in Computer Science, Mathematics, Economics, or a related technical field, or equivalent practical experience.
  
  

• Unlimited Vacation
• Flexible Working Options
• Health Insurance
• Parental Leave
• Employee Stock Option Plan
• Home Office Allowance
• Professional Development Stipend
• Peer Recognition Program
  
  

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

Referrals increase your chances of interviewing at DoiT by 2x

Get notified about new Cloud Architect jobs in United Kingdom.

Birmingham, England, United Kingdom 1 week ago

Birmingham, England, United Kingdom 3 months ago

Bristol, England, United Kingdom 3 months ago

Telford, England, United Kingdom 3 months ago

Liverpool, England, United Kingdom 3 months ago

Nottingham, England, United Kingdom 3 months ago

Coventry, England, United Kingdom 2 months ago

Newcastle Upon Tyne, England, United Kingdom 3 months ago

Middlesbrough, England, United Kingdom 3 months ago

Slough, England, United Kingdom 2 months ago

Manchester, England, United Kingdom 2 months ago

Sheffield, England, United Kingdom 2 months ago

Luton, England, United Kingdom 2 months ago

Kingston Upon Hull, England, United Kingdom 2 months ago

Ipswich, England, United Kingdom 3 months ago

Glasgow, Scotland, United Kingdom 3 months ago

Leeds, England, United Kingdom 3 months ago

Swansea, Wales, United Kingdom 4 months ago

Peterborough, England, United Kingdom 4 months ago

Derby, England, United Kingdom 3 months ago

Plymouth, England, United Kingdom 3 months ago

Stoke-On-Trent, England, United Kingdom 2 months ago

Norwich, England, United Kingdom 2 months ago

Bournemouth, England, United Kingdom 2 months ago

Contract Solutions Architect Working from home - OUTSIDE IR35

Bristol, England, United Kingdom 2 months ago

Milton Keynes, England, United Kingdom 2 months ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.