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EPAM Systems

<div>We're looking for a Head of AWS Technology to join our team in the UK in a hybrid working mode. This is a senior leadership role that combines technical depth, architectural authority, and commercial responsibility to shape and grow EPAM&rsquo;s AWS practice. You will set the vision, lead solution design and be a trusted advisor to senior stakeholders by ensuring the delivery of high-quality, well-architected solutions.
Acting as a key technical partner with AWS, you will drive adoption of AI and GenAI services, establish engineering excellence and mentor a team of senior architects. This role requires a hands-on understanding of AWS architectures and the ability to influence technology strategy across multiple clients and sectors.
Responsibilities<ul><li>
Set the technical vision, architecture standards and engineering practices for the AWS practice
</li><li>Lead adoption of AI and GenAI capabilities on AWS, including Bedrock, SageMaker and RAG patterns
</li><li>Provide hands-on technical oversight on complex engagements and ensure quality delivery
</li><li>Establish and nurture the AWS partnership through competencies, programs and joint go-to-market initiatives
</li><li>Build, mentor and lead a high-performing team of AWS architects and engineers
</li><li>Drive pre-sales and solution design for major AWS opportunities
</li><li>Create thought leadership, reusable assets and propositions that differentiate EPAM in the cloud market
</li><li>Ensure alignment between architectural solutions, security standards and client business goals
</li></ul>Requirements<ul><li>
Extensive AWS architecture experience with credibility to guide design decisions (10+ years in technology)
</li><li>Current expertise in AI and GenAI services on AWS and their application to client solutions
</li><li>Proven leadership in building and managing senior technical teams
</li><li>Track record of shaping, estimating and winning cloud engagements in pre-sales environments
</li><li>Commercial acumen with familiarity of consulting operating models and P&amp;L impact
</li><li>Experience working with AWS partner programs and competency frameworks
</li><li>AWS Professional certifications (Solutions Architect Professional or DevOps Engineer Professional), with Specialty certifications desirable
</li><li>Excellent communication skills for engaging engineers, senior clients and AWS partner teams
</li></ul>Nice to have<ul><li>
Experience in consulting or systems integration environments
</li><li>Multi-cloud exposure (Azure, GCP) and ability to position AWS in hybrid estates
</li><li>Sector experience in financial services, life sciences, retail or public sector</li></ul>
We offer<ul><li>
EPAM Employee Stock Purchase Plan (ESPP)</li><li>
Protection benefits including life assurance, income protection and critical illness cover</li><li>
Private medical insurance and dental care</li><li>
Employee Assistance Program</li><li>
Competitive group pension plan</li><li>
Cyclescheme, Techscheme and season ticket loans</li><li>
Various perks such as free Wednesday lunch in-office, on-site massages and regular social events</li><li>
Learning and development opportunities including in-house training and coaching, professional certifications, and courses</li><li>
If otherwise eligible, participation in the discretionary annual bonus program</li><li>
If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program</li></ul></div>

Head of AWS Technology

<div>We're looking for an AI Security Consultant to join our team in the UK in a hybrid working mode. In this role, you will help clients design and secure AI systems that they can trust, addressing emerging risks across generative AI, agent-based workflows and traditional machine learning pipelines. Acting at the intersection of cybersecurity, machine learning and consulting, you will influence enterprise-wide adoption of secure AI practices and ensure compliance with evolving regulations such as the EU AI Act.
This is a hands-on role with client-facing responsibility, balancing technical depth with strategic guidance. You will work across multiple sectors, supporting EPAM's growing Cybersecurity practice and shaping our AI security capabilities as this rapidly evolving field matures.
Responsibilities<ul><li>
Lead security assessments of AI/ML systems, including LLM applications and ML pipelines
</li><li>Threat-model AI architectures using frameworks such as OWASP LLM Top 10, MITRE ATLAS and NIST AI RMF
</li><li>Advise clients on securing AI lifecycle from data sourcing to deployment and monitoring
</li><li>Define security controls for prompt injection, jailbreaks, data poisoning and supply-chain risk
</li><li>Translate AI regulations and data-protection laws into actionable security requirements
</li><li>Perform adversarial testing and red-teaming of generative AI applications
</li><li>Create documentation, secure design patterns and reference architectures for client teams
</li><li>Act as a trusted advisor for senior stakeholders and support EPAM pre-sales where needed</li></ul>
Requirements<ul><li>
5+ years of cybersecurity experience, ideally with consulting exposure
</li><li>Knowledge of AI/ML concepts, generative AI stack, LLMs, RAG and MLOps pipelines
</li><li>Familiarity with AI security frameworks such as OWASP LLM Top 10 and MITRE ATLAS
</li><li>Understanding of cloud security across AWS, Azure or GCP
</li><li>Awareness of AI-related regulations and data-protection requirements
</li><li>Strong communication skills for both technical and executive audiences
</li><li>Ability to deliver structured solutions in fast-moving, ambiguous environments
</li></ul>Nice to have<ul><li>
Certifications such as CISSP, CCSP, OSCP or related cloud credentials
</li><li>Practical experience in AI red-teaming or penetration testing
</li><li>Background in software engineering or data science</li></ul>
We offer<ul><li>
EPAM Employee Stock Purchase Plan (ESPP)</li><li>
Protection benefits including life assurance, income protection and critical illness cover</li><li>
Private medical insurance and dental care</li><li>
Employee Assistance Program</li><li>
Competitive group pension plan</li><li>
Cyclescheme, Techscheme and season ticket loans</li><li>
Various perks such as free Wednesday lunch in-office, on-site massages and regular social events</li><li>
Learning and development opportunities including in-house training and coaching, professional certifications, and courses</li><li>
If otherwise eligible, participation in the discretionary annual bonus program</li><li>
If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program</li></ul></div>

AI Security Consultant

<div>EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
We are seeking an experienced Lead/Sr MLOps Engineer with deep expertise in Domino Data Lab to manage and optimize machine learning operations across the entire ML lifecycle. In this role, you will support platform reliability, drive infrastructure automation and ensure seamless deployment and monitoring of machine learning solutions in production environments.
Responsibilities<ul><li>
Manage and optimize the Domino Data Lab platform across the machine learning lifecycle</li><li>
Oversee MLOps processes to support efficient model development and operations</li><li>
Maintenance of Kubernetes clusters and Docker containers for scalable workloads</li><li>
Implementation of CI/CD pipelines using Jenkins, GitLab and GitHub</li><li>
Administration of Linux environments to ensure system stability</li><li>
Provide platform support at L2/L3 levels for end users and stakeholders</li><li>
Monitoring and troubleshooting of platform issues to minimize downtime</li><li>
Collaboration with data science teams to streamline machine learning workflows</li><li>
Deployment and management of solutions across AWS, Azure and GCP</li></ul>
Requirements<ul><li>
5+ years of experience in MLOps or machine learning lifecycle management</li><li>
Knowledge of Domino Data Lab platform</li><li>
Expertise in Kubernetes and Docker</li><li>
Proficiency in Python and R</li><li>
Skills in CI/CD tools including Jenkins, GitLab and GitHub</li><li>
Familiarity with AWS, Azure and GCP</li><li>
Competency in Linux administration</li><li>
Capability to perform monitoring and troubleshooting</li><li>
Background in platform support at L2/L3 levels</li></ul>
Nice to have<ul><li>
Background in AI/ML engineering</li><li>
Skills in model deployment and monitoring</li><li>
Familiarity with data science platform support</li><li>
Proficiency in infrastructure automation using Terraform and Ansible</li></ul>
We offer<ul><li>
Opportunity to work on technical challenges that may impact across geographies</li><li>
Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications</li><li>
Opportunity to share your ideas on international platforms</li><li>
Sponsored Tech Talks &amp; Hackathons</li><li>
Unlimited access to LinkedIn learning solutions</li><li>
Possibility to relocate to any EPAM office for short and long-term projects</li><li>
Focused individual development</li><li>
Benefit package:<ul><li>
Health benefits</li><li>
Retirement benefits</li><li>
Paid time off</li><li>
Flexible benefits</li></ul></li><li>
Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)</li></ul></div>

Lead/Sr MLOps Engineer - Domino Data Lab

Join EPAM Systems and explore 20   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

EPAM Systems

About Company

Head of AWS Technology

AI Security Consultant

Lead/Sr MLOps Engineer - Domino Data Lab

Lead/Sr MLOps Engineer - Domino Data Lab

Lead/Sr MLOps Engineer - Domino Data Lab

Lead/Sr MLOps Engineer - Domino Data Lab

Lead/Sr MLOps Engineer - Domino Data Lab