LoopMe

What we need:

We're looking for a DevOps with experience designing, building and maintaining high-scale, big-data distributed systems. You'll work closely with a strong team of 16 DevOps engineers across the company to deliver stable and highly scalable product.

What you’ll be doing:

• Collaborate on designing and setting up new features and system improvements.
• Manage and optimize cloud infrastructure on Google Cloud Platform (GCP).
• Lead efforts to enhance observability through advanced monitoring and logging solutions.
• Update and maintain software processes and tools.
• Quickly respond to any issues in production and team up with others to fix them.
• Bring in current IT best practices to our setup.
• Work on reducing costs for the solutions we use.
• Database administration

Minimum Qualifications:

• Have 3+ years of direct experience working in cloud infrastructure or software development.
• 3+ years experience with Kubernetes
• 2+ years experience with GCP or
• 3+ years experience with AWS or Azure 
• Programming skills in any scripting language
• Practical knowledge in monitoring, logging, and setting up alerts.
• Practical knowledge in monitoring, logging, and setting up alerts.
• Grafana / Open Telemetry
• Elasticsearch
   

Preferred Qualifications:

• Aerospike, MongoDB experience is a plus
• Familiarity with high-scale, big-data distributed systems.
• Familiar with CI/CD processes and tools. 
• Experience with infrastructure-as-code tools terraform/config connector/cross plane.
• Skills in infrastructure or cost optimization.
• Knowledge in the administration of PostgreSQL
• Knowledge in the administration of Hadoop / HBase

Benefits:

• Competitive compensation package
• International work environment
• Flexible working schedule and the possibility to work remotely
• Annual performance bonus
• English classes
• Maternity/Paternity leave

Help us push AI further — and faster

LoopMe’s Data Science team builds production AI that powers real-time decisions for campaigns seen by hundreds of millions of people every day. We process billions of data points daily — and we don’t just re-apply old tricks. We design and deploy genuinely novel machine learning systems, from idea to prototype to production.

You’ll join a high-trust team that has a 5-star Glassdoor rating led by Leonard Newnham, where your work moves fast, ships to production, and makes measurable impact.

What you’ll do:

• Design, build, and run large-scale ML pipelines that process terabytes of data
• Apply a mix of supervised learning, custom algorithms, and statistical modelling to real-world problems
• Ship production-grade Python code that’s clear, documented, and tested
• Work in small, agile squads (3–4 people) with DS, ML, and engineering peers
• Partner with product and engineering to take models from idea → production → impact
• Work with Google Cloud, Docker, Kafka, Spark, Airflow, ElasticSearch, ClickHouse and more

What you bring:

• Bachelor’s degree in Computer Science, Maths, Engineering, Physics or similar (MSc/PhD a plus)
• 3+ years’ commercial Python experience
• Track record building ML pipelines that handle large-scale data
• Excellent communication skills — comfortable working across time zones
• A curious, scientific mindset — you ask “why?” and prove the answer

Bonus if you have:

• Experience with adtech or real-time bidding
• Agile / Scrum experience
• Knowledge of high-availability infrastructure (ElasticSearch, Kafka, ClickHouse)
• Airflow expertise

About the Data Science Team:

We’re 17 ML engineers, data scientists, and data engineers, distributed across London, Poland, and Ukraine — acting as one team, not a satellite office.

What sets us apart:

• Led by an experienced Chief Data Scientist who codes, leads, and listens
• Inclusive, supportive culture where ideas are heard and people stay
• Strong values: open communication, continual innovation, fair treatment, and high standards
• Track record of publishing award-winning research in automated bidding

Don’t just take our word for it — check our Glassdoor reviews (search “Data Scientist”) for a real view of the culture.

About LoopMe:

LoopMe was founded to close the loop on brand advertising. Our platform combines AI, mobile data, and attribution to deliver measurable brand outcomes — from purchase intent to foot traffic. Founded in 2012, we now have offices in New York, London, Chicago, LA, Dnipro, Singapore, Beijing, Dubai and more.

What we offer:

• Competitive salary + bonus
• Billions of real-world data points to work with daily
• Flexible remote/hybrid options
• Learning budget and career growth support
• Friendly, transparent culture with strong leadership

Hiring process:

1. Intro with Talent Partner
2. 30-min technical interview with Chief Data Scientist
3. Panel with 2 team members (technical, culture & collaboration)
4. Offer – usually within 48 hours of final round

Are you ready to design and deploy AI systems that run at truly massive scale?

About the team:

The AI Platform team is a newly formed, high-impact group responsible for driving AI adoption across the entire organization. Reporting to a Team Lead, you will join a team of 4 engineers building cutting-edge AI solutions from the ground up. This is a unique opportunity to shape the AI strategy and tooling that will transform how the company operates.

The role:

As a Senior Software Engineer on the AI Platform team, you will design, build, and deploy production-grade AI systems that enhance productivity and decision-making across all business units. You will be a technical expert and advocate for agentic AI solutions, enabling engineering teams company-wide to leverage AI effectively.

Key Responsibilities:

•       Design and build Retrieval-Augmented Generation (RAG) systems to provide intelligent, context-aware solutions for internal and external use cases

•       Develop AI agents that automate workflows and enhance business processes across the organization

•       Serve as an internal expert on agentic AI, guiding and mentoring engineering teams on best practices for building and integrating AI agents

•       Evaluate, integrate, and deploy the latest AI technologies, frameworks, and models to keep the company at the forefront of innovation

•       Collaborate cross-functionally with product, engineering, and business stakeholders to identify high-impact AI opportunities

•       Contribute to architectural decisions and help shape the technical direction of the AI Platform

Required Qualification:

•       5+ years of software engineering experience with strong proficiency in Python, TypeScript, or Java

•       Experience with databases, both relational (e.g., PostgreSQL, MySQL) and non-relational (e.g., MongoDB, Redis, Aerospike)

•       Experience building and deploying HTTP-based applications and APIs in production environments

•       Hands-on experience building RAG systems and working with vector databases (e.g., Pinecone, Weaviate, Milvus, Qdrant, pgvector)

•       Proven experience developing AI agents using frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, or similar

•       Hands-on agentic coding experience (e.g., Claude Code, Cursor, GitHub Copilot Workspace, or similar AI-assisted development tools)

•       Experience with MCP (Model Context Protocol) or similar agent communication standards

•       Strong understanding of prompt engineering, context engineering, and LLM optimization techniques

•       Experience with modern LLM APIs (OpenAI, Anthropic, Google, open-source models)

•       Excellent communication skills with the ability to explain complex AI concepts to technical and non-technical audiences

•       Demonstrated ability to work cross-functionally and drive alignment across teams

Nice to Have:

•       Background in adtech or real-time bidding systems

•       Familiarity with MLOps practices and model deployment pipelines

•       Contributions to open-source AI projects or active participation in AI communities

Why Join Us:

•       Build complex AI systems from scratch that directly impact company-wide performance

•       Work with the latest AI technologies and shape how the organization adopts them

•       High visibility role with direct collaboration across all business units

•       Join a small, agile team where your contributions have outsized impact

•       Hybrid work environment with flexibility

Benefits:

• Competitive compensation package
• International work environment
• Flexible working schedule and the possibility to work remotely
• Annual performance bonus
• English classes
• Maternity/Paternity leave

We are looking for a Campaign Analyst to support client-facing reporting and campaign analysis. This role combines strong analytical work with cross-team communication and continuous process improvement.
The Campaign Analyst will work closely with internal stakeholders to prepare, analyze, and present campaign results, ensuring data accuracy, clarity, and actionable insights for clients.

Key responsibilities:

• Prepare and maintain client-facing reports and campaign performance analyses
• Independently build reports and presentations (PowerPoint / Google Slides)
• Analyze campaign data and validate traffic quality
• Collect and clarify reporting requirements from multiple stakeholders
• Collaborate with Sales, Account Managers, Campaign Managers, and Analytics teams to gather inputs
• Ensure data consistency, accuracy, and alignment across reports
• Contribute to post-campaign analysis and insights generation
• Identify opportunities to improve, optimize, and automate reporting processes

Skills and experience:

• Strong analytical skills and attention to detail
• Advanced user of Excel and Google Sheets
• Confident with PowerPoint / presentation building
• Good understanding of data visualization principles

• Ability tWe are looking for a Campaign Analyst to support client-facing reporting and campaign analysis. This role combines strong analytical work with cross-team communication and continuous process improvement.
  The Campaign Analyst will work closely with internal stakeholders to prepare, analyze, and present campaign results, ensuring data accuracy, clarity, and actionable insights for clients.

   

• Benefits:
• Competitive compensation package
• International work environment
• Flexible working schedule and the possibility to work remotely
• Annual performance bonus
• English classes
• Maternity/Paternity leaveo work independently and manage multiple tasks
• Strong communication and collaboration skills
• Comfortable gathering requirements and aligning expectations with different teams
• Proactive mindset with interest inprocess optimization and automation
• Good English proficiency (written and spoken)

Benefits:

• Competitive compensation package
• International work environment
• Flexible working schedule and the possibility to work remotely
• Annual performance bonus
• English classes
• Maternity/Paternity leave