Senior MLOps Engineer

Architus specialises in connecting leading UK and US businesses with top EU engineering talent, helping build high-performing technology teams and establish presence overseas. With offices in London and Vilnius, Architus has a strong track-record and impressive list of clients such as Invesco, Tide, Capital Group, Schroders, BNP Paribas, and HSBC.

The Opportunity

Architus is partnering with a leading UK energy company to help build a significant engineering presence in Lithuania. With a reputation for innovation, the company is tackling some of the world's most pressing problems by creating better energy systems for the planet and for everyone on it.

The company has over 4 million customers and is expanding rapidly and offers numerous opportunities for professional development. You will be part of a passionate team dedicated to making a tangible difference in the world through cutting-edge technology, all driven by a dynamic and entrepreneurial spirit.

What You'll Work On

As an MLOPs engineer, you will join a team of ML engineers. Your focus will be designing, building, and deploying a machine learning platform that enables AI solutions across the whole company. This is an extraordinary opportunity for someone who loves collaborative and supportive environments and is motivated to drive ML advancements, standards and best practice across a business.

Responsibilities Include

• Working as part of a team of machine learning engineers in the development of innovative AI platform solutions, to be used by a range of teams
• Architecting, designing, and deploying machine learning platform capabilities at scale
• Teaming up with multi-functional teams, including product managers, software developers, and business analysts, to align machine learning initiatives with business goals
• Staying up-to-date with the latest ML trends, tools, and technologies to ensure the team's technical approach is innovative
• Fostering an inclusive team environment where everyone feels valued and excited to contribute
• Communicating optimally with collaborators to explain concepts and drive informed decision-making
  
  
  

Systems you'll be using include:

GCP services (BigQuery, Cloud Composer, DataForm, VertexAI, etc), GitHub, DataRobot.

Requirements

• Proven track record working with cloud machine learning platforms. It would be advantageous if this was GCP, but similar experience is also acceptable (AWS, Azure)
• Experience using Terraform for infrastructure automation and lifecycle management
• Strong Python skills for building and maintaining data pipelines and ML workflows
• Hands-on knowledge of Vertex AI or equivalent AI/ML platforms (Sagemaker, Azure AI Foundry)
• Familiarity with containerization technologies (Docker, Kubernetes)
• Working experience with CI/CD pipelines
• Excellent English communication skills, both written and verbal
  
  
  

What You'll Get In Return

Salary: Starting from €8,500 gross/month (depending on experience and skills).

Career Growth: Fast-track your career with opportunities to work with cutting-edge technologies in a global environment.

Holidays: Extra vacation days: 25 days of vacation per year (excluding Lithuanian public holidays)

Workplace: A modern, pet-friendly office in Business Stadium, Vilnius, with parking and snacks to boost your productivity.

Flexibility: Hybrid working for a better work-life balance - full flexibility to work from home or the office

Wellbeing: Health and Wellness monthly allowance

Ready to Join Us?

If you're excited about this opportunity and believe you're the right fit, we'd love to hear from you! Apply now and let's create something amazing together. We look forward to meeting the next Architus star!