Senior Machine Learning 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.

This is an exciting time to join, as the company 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.

The technology organisation is entering a growth phase, which includes hiring across all their data squads into 2025. The Senior Machine Learning Engineer will play a key part in developing AI solutions for the company, leveraging cutting-edge GenAI as the sole ML Engineer in a cross-functional, dedicated product team.

What You’ll Work On

The Senior Machine Learning Engineer will play an instrumental role in developing and scaling AI solutions. You will work as the sole ML Engineer in a cross functional team. Your expertise will drive the delivery of innovative AI-powered features, ensuring the company remains a leader in providing seamless and tailored experiences for their customers. This role is an opportunity to leverage ML for a sustainable future while pushing the boundaries of technology.

Responsibilities include:

• Working collaboratively within a cross-functional product team of Data Scientists, Software Engineers, and Data Engineers to build and scale AI solutions as the dedicated ML Engineer
• Developing and maintaining training, evaluation, and deployment pipelines for AI, including tasks like Retrieval-Augmented Generation (RAG), fine-tuning, and large language models (LLMs)
• Working with data scientists to design and implement feedback loops, online and offline evaluation methods, and A/B testing for continuous model improvement
• Owning the observability, cost management, performance, training and evaluation of modes to ensure reliable and efficient deployments
• Bringing ML expertise to shape the team’s target architecture, design pipelines and help define robust development processes

Systems you’ll be using include:

GCP services (BigQuery, Cloud Composer, DataFarm, VertexAI, etc), GitHub, Python

Requirements

• Demonstrated experience with deploying production-grade models with rigorous standards for scalability, reliability, and monitoring
• Experience in repeatable cloud infrastructure provisioning, configuration management across the MLOps architecture (including CI/CD pipelines) and database systems.
• Fluency in Python, SQL and Terraform
• Strong understanding of software testing and continuous integration
• Proven ability to deliver high-quality data and software engineering projects end-to-end, translating into true commercial impact within a business
• Excellent presentation and communication skills - able to articulate results clearly and concisely to senior stakeholders. Ability to consult with, and sometimes challenge, teams of differing levels of data engineering knowledge
• Background in software engineering with experience working as a dedicated ML Engineer in a collaborative team
• Excellent English communication skills, both written and verbal.
• BONUS POINTS FOR:
• Commercial experience deploying and monitoring customer-facing Generative AI models (LLMs)
• Familiarity with Agentic AI for autonomous applications

What You'll Get in Return

Salary: Starting from €8,000 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!