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Gdańsk, Poland Wrocław, Poland Remote Other IT

Senior Machine Learning Engineer

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Description

Ciklum is looking for a Senior Machine Learning Engineer to join our team full-time in Poland.

We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.

About the role:

As a Senior Machine Learning Engineer, become a part of a cross-functional development team engineering experiences of tomorrow. 

Our client is a global food tech company, with over 98 million active users across 22 countries. They connect customers from Amsterdam to Auckland with the food they love, providing innovative solutions in the food delivery industry. As a rapidly growing business, they are focused on refining their processes and implementing methodologies that support both local and global teams.

Responsibilities

  • Take a leadership role in shaping the strategic direction of our machine learning infrastructure, proactively identifying opportunities for innovation and improvement. You will drive the development of cutting-edge solutions that enhance the performance, scalability, and reliability of our machine learning systems. In collaboration with the Data Science team, you will ensure that models are deployed seamlessly, optimised for production environments, and meet the highest standards of efficiency and accuracy at scale. 
  • You will also be responsible for architecting and overseeing the development of complex machine learning pipelines, managing both real-time and batch inference systems that are integral to our predictive platforms. You will work closely with cross-functional teams to anticipate future needs, recommending and implementing long-term solutions that align with our business objectives. 
  • As a senior member of the team, you will mentor and guide mid-level Machine Learning Engineers, providing technical leadership and helping to shape best practices across the organisation. Your expertise will play a key role in conducting comprehensive code reviews, identifying areas for improvement, and fostering a culture of continuous learning and collaboration. 
  • Beyond technical execution, you will be expected to communicate effectively with both technical and non-technical stakeholders, translating complex machine learning concepts into actionable business insights. You will present innovative solutions to key stakeholders, making compelling cases for new initiatives and guiding the strategic direction of our machine learning efforts.
  • Finally, you will lead the integration of new technologies and tools into our infrastructure, staying ahead of industry trends and ensuring that our machine learning frameworks remain at the cutting edge of technological advancements. 

Requirements

  • Expert-level proficiency with cloud technologies (ideally AWS) and extensive experience with containerization and orchestration (preferably Kubernetes)
  • Deep understanding of software development, DevOps, and MLOps best practices, with a proven track record of applying them in production
  • Extensive experience in designing, deploying, and maintaining scalable models and services in production environments
  • Strong understanding of Machine Learning, with the ability to collaborate deeply with Data Scientists on model deployment and optimization
  • Significant experience with Data Engineering, Kafka, and stream processing
  • Proficiency in Python and SQL; experience with Go or other programming languages is a strong plus

Personal skills

  • Leadership skills, including mentoring and guiding mid-level engineers, and shaping team best practices
  • Ability to generate and validate ideas with PoCs and build them into functional, scalable components
  • Holistic project approach, taking ownership from initial concept through to integration, deployment, and lifecycle management
  • Strong critical analysis of architectural approaches, driving strategic decisions about infrastructure and machine learning pipelines
  • Self-motivated, with a track record of driving innovative solutions and seeing projects through to completion
  • Expertise in agile methodologies and exceptional collaborative leadership skills, fostering cross-team alignment
  • Excellent communication, including the ability to present complex ideas to both technical and non-technical stakeholders
  • A preference for scalable, strategic solutions over complex or overly intricate designs

What's in it for you

  • Care: your mental and physical health is our priority. We ensure comprehensive company-paid medical insurance, life insurance and Multisport card
  • Tailored education path: boost your skills and knowledge with our regular internal events (meetups, conferences, workshops), Udemy license, language courses and company-paid certifications
  • Growth environment: share your experience and level up your expertise with a community of skilled professionals, locally and globally
  • Flexibility: Own your schedule – you are the one to decide when to start your working day. Just dont miss your regular team stand-up
  • Opportunities: we value our specialists and always find the best options for them. Our Internal Mobility Program helps change a project if needed to help you grow, excel professionally and fulfill your potential
  • Global impact: work on large-scale projects that redefine industries with international and fast-growing clients
  • Welcoming environment: feel empowered with a friendly team, open-door policy, informal atmosphere within the company and regular team-building events

About us:

Join a well-established company and a strong team of professionals. 
Seize the perks of global opportunities, local approach and start-up spirit. 
Boost your skills with modern stacks and industry-leading clients!
Enjoy what you do, do what you enjoy! 

Be bold, not bored!

Experiences of tomorrow. Engineered together

Interested already?

We would love to get to know you! Submit your application. Can’t wait to see you at Ciklum.

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