AWS MLOps Engineer

CompanyVersion 1

LocationNewcastle Upon Tyne, England, United Kingdom

Posted At3/13/2026

UK Visa Sponsorship Analytics

Analytics are greyed out due to low classification confidence (35.0%).

Occupation Type

Telecoms and related network installers and repairers

Occupation Code Skill LevelMedium Skilled

Sponsorship Salary Threshold

£41,700 (£21.38 per hour)

Standard minimum applies

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Description

Company Description

Version 1 has celebrated 30 years in business and continues to be trusted by global brands to deliver technology and transformation solutions that drive customer success. Our deep expertise enables our customers to navigate the rapidly evolving technology landscape. We foster strong partnerships with global technology leaders including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services.

We’re an award-winning employer reflecting how our employees are at the very heart of what we do:

UK & Ireland's premier AWS, Microsoft & Oracle partner
3300+ strong, €350/£300m revenue business
10+ years as a Great Place to Work in Ireland & UK
Best Workplace for Women in the UK & Ireland by GPTW
Best Workplace for Wellbeing in the UK by GPTW

We’re a core values [link to values] driven company, we hire people who share our values, and we reward those who display and foster them, it’s deeply embedded within our DNA. Invest in us and we’ll invest in you.

Job Description

What You Will Do

Architect and implement scalable infrastructure for AI and ML workloads (training, evaluation, inference).
Design and operate Kubernetes-based platforms for multi-tenant, production AI systems.
Build and refine MLOps pipelines covering model versioning, experiment tracking, CI/CD, deployment, monitoring, and rollback.
Establish DevOps best practices across infrastructure, application, and ML layers.
Lead security-first infrastructure design (access control, secrets management, isolation, observability, auditability).
Deploy and operate enterprise-grade production systems with strong uptime and reliability standards.
Leverage modern AI coding agents and developer copilots to accelerate engineering workflows.
Partner with ML engineers and application teams to translate research and product requirements into scalable infrastructure capabilities.

Qualifications

What We Are Looking For

8-12+ years of experience in infrastructure, platform engineering, or distributed systems.
Proven experience building and operating enterprise-grade production systems.

Deep hands-on expertise with Kubernetes in production (autoscaling, networking, upgrades, reliability patterns).

Strong background in MLOps and ML platform lifecycle management.

Experience with cloud platforms (AWS, GCP, or Azure) and Infrastructure-as-Code (Terraform, Pulumi, etc.).

Practical, hands-on use of AI coding agents / AI-assisted development tools.

Strong programming ability in Go, Python, or similar infrastructure-oriented language

Nice to Have

Experience supporting GPU workloads and large-scale training/inference.
Familiarity with enterprise security standards (SOC2, ISO, zero-trust architectures).
Experience building internal developer platforms serving multiple teams.
Background supporting AI systems in regulated or high-reliability environments.

Additional Information

At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their wellbeing, professional growth, and financial stability.

Share in our success with our Quarterly Performance-Related Profit Share Scheme, where employees collectively benefit from a share of our company's profits

Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme

Flexible/remote working, Version 1 is tremendously understanding of life events and people’s individual circumstances and offer flexibility to help achieve a healthy work life balance

Financial Wellbeing initiatives including; Pension, Private Healthcare Cover, Life Assurance, Financial advice and an Employee Discount scheme

Employee Wellbeing schemes including Gym Discounts, Bike to Work, Fitness classes, Mindfulness Workshops, Employee Assistance Programme and much more. Generous holiday allowance, enhanced maternity/paternity leave, marriage/civil partnership leave and special leave policies

Educational assistance, incentivised certifications, and accreditations, including AWS, Microsoft, Oracle, and Red Hat

Reward schemes including Version 1’s Annual Excellence Awards & ‘Call-Out’ platform.

Environment, Social and Community First initiatives allow you to get involved in local fundraising and development opportunities as part of fostering our diversity, inclusion and belonging schemes.

And many more exciting benefits… drop us a note to find out more.