ShopFully · Italy

We are the platform turning browsing into shopping . We connect 200 million shoppers with deals they love while boosting local sales for hundreds of top retailers and brands. We help consumers save time and money while making smart shopping decisions, and we support retailers and brands in engaging customers from online research to in-store purchases. In 2024, Shopfully joined forces with the North American company Flipp , creating a global leader in the sector. Together, we reach 400 million households and serve over 1,000 top retailers and brands across 27 markets, including Europe, Canada, the USA, Latin America, and Australia. Ready to  spark your growth with us? WHO WE LOOK FOR 🦄 We are looking for a Senior Machine Learning Engineer to join our Audience Platform team within Ad Products. In this role, you will own and extend both the machine learning systems and the corresponding backend infrastructure that power 1P, 2P, and 3P audience data across Flipp and Shopfully. This is an engineering-first role for someone who builds and operates production ML systems end-to-end—not a research scientist handing off code to someone else to productionize. You bring hands-on comfort with statistics, model selection, building, tuning, and experiment design, combined with strong software engineering fundamentals to build scalable pipelines on core tables running into tens of billions of rows. If you are passionate about MLOps, scalable feature engineering, and shipping production ML systems that drive measurable business impact, this role is for you!   WHAT YOU WILL DO 🏄 End-to-End ML Systems Ownership: Design, build, deploy, and monitor production ML models and pipelines—such as the IAB Segmentation Model, Retailer & Category Affinity Segments, and Custom Segment Toolkits.   Feature & Data Engineering at Scale: Build and maintain high-volume feature engineering and data pipelines using Spark, Databricks, Python, and SQL, working with core tables containing tens of billions of rows.   MLOps & Model Lifecycle Management: Implement robust MLOps practices, including model registries, offline/online evaluation, experiment tracking (MLflow or equivalent), and monitoring for data/model drift and quality.   Audience Platform Integration: Collaborate on the platform side (Audience API, User Profile API, Kafka Topics, and activation integrations like DV360, Braze, and TTD) to ensure models seamlessly integrate into downstream production services.   Experimentation & Model Tuning: Design and execute offline evaluations and A/B tests to validate modeling impact, optimize hyperparameters, and unlock new data signals (e.g., Store Trip Data).   Privacy & Compliance: Plan and execute modeling and data pipeline initiatives in strict accordance with data regulatory laws (GDPR, CCPA, consent management).   Cross-Functional Collaboration & AI Workflows: Partner with Product Analytics, Marketing Science, Data Engineers, and Software Engineers to drive revenue OKRs. Utilize AI-assisted development tools (e.g., Cursor, Claude Code) to maximize daily throughput.   WHAT YOU WILL NEED 🪄 Strong Software Engineering Fundamentals: Comfortable owning and operating production backend/data systems end-to-end, including participating in the team's on-call rotation.   End-to-End Production ML Track Record: Proven experience across the full ML lifecycle: feature engineering on Databricks/Spark, model training, evaluation, deployment, and monitoring in production.   Genuine Modeling & Statistics Skills: Ability to build, tune, and evaluate models from scratch, with solid grounding in statistics, hyperparameter tuning, and experiment design (A/B testing).  Data Scale & Tech Stack Mastery: Strong proficiency in Python, Spark, SQL, and Databricks. Comfort with distributed data pipelines at real scale.   MLOps Fluency: Experience with ML lifecycle tools (MLflow or equivalent), model registries, and production monitoring for drift/quality.   Active Use of AI Coding Agents: Hands-on use of AI development tools (e.g., Cursor, Claude Code) to increase personal engineering throughput.   Education: Bachelor's degree in Computer Science, Mathematics, Physics, Engineering, or a related quantitative field.   Fluent in English: Strong written and spoken communication skills with overlap availability into North American hours (9am to 12pm EST)   👉 At our company, we value diversity and actively encourage it — we believe a variety of perspectives and backgrounds makes us stronger. We focus on potential rather than on having a “perfect” CV. If this role excites you and you believe you could grow into it — even if you don’t tick every single box in the requirements — we’d love to hear from you! NICE TO HAVE  🎆 Ad-tech or programmatic advertising context.   Privacy engineering background (GDPR, CCPA).   Deep Databricks platform administration knowledge.   Familiarity with LLM platforms (OpenAI, Gemini) and embedding research. SALARY RANGE ⚖️ : €50,000 – €70,000 fixed gross salary per year.   LOCATION 🌐   While we have offices in Milan , Barcelona and Sofia , you can benefit from our flexible hybrid model, empowering you to work where you’re most effective in Europe. Full remote available from Europe.   WHAT YOU WILL FIND AT SHOPFULLY 🤗 🌎 An opportunity to thrive in a rapidly scaling multinational company 🕶️ A vibrant, informal, and inclusive work environment 🧠 We champion autonomy, flexibility, and a hybrid work model, empowering you to own your work 📚 Access to learning opportunities and regular feedback sessions 🍓 Enjoy our central, modern offices featuring fresh snacks, coffee (including vegan options!), and ergonomic setups 🎉 Engage in meaningful team events: offsites, happy hours, company parties and celebrations that unite us beyond daily tasks 💻We provide all the necessary equipment for you to work effectively and set up your workspace, wherever you are 🧰 Benefit from additional country-specific advantages based on local contracts and practices   WHO WE ARE 💜  We’re a team of 450 people (and counting!), from 30 different nationalities. We’re on a mission to innovate, and we believe the key to that is seeing the world through a variety of perspectives. That’s why building a more diverse team, as well as bringing in even more talent, is so important for us.   TO FEEL AT HOME 🛋️ IN SHOPFULLY YOU NEED 🎯 Progress Over Perfection : We move forward. Always. In a fast-moving world, speed with purpose beats certainty without action. Momentum matters—not for its own sake, but because it drives results. Clarity Through Transparency : We bring each other along. We work in teams, not silos. Transparency gives context, and context enables action. That means we share decisions early, publish work in progress, and document outcomes so others can learn, move faster, and build better. Learn Loudly : We grow by doing and by daring. Big bets unlock big breakthroughs. But real innovation demands risk, and risk always carries the possibility of failure. That’s not a flaw. It’s the price of ambition. Challenge with Empathy : We speak up, even when it’s hard—because candor shows care, and leads to better outcomes. Listening deeply is how we grow. Disagreeing openly is how we build trust. Always Build Better: We are builders—of products, systems, and ideas. But more than that, we are builders of better. Better has no finish line. It’s a mindset. If you choose to apply for this specific job position and submit your application, which may include personal data such as your identifying details, contact information, curriculum vitae, cover letter, professional qualifications, and/or employment history, please be informed that your data may be shared with our Affiliates*, including Offerista Group GmbH and Flipp Operations Inc. The aforementioned entities will act as joint controllers for the limited purpose of intra-group sharing related to the evaluation of candidates’ applications. This means that your data may be processed by the Affiliate to assess your application and, if deemed suitable, to contact you regarding potential employment opportunities. However, please note that from the moment an Affiliate initiates direct contact with you and engages in any further processing of your personal data beyond the initial intra-group sharing for evaluation purposes, such Affiliate shall act as an independent data controller. In such cases, the processing of your personal data will be subject to the specific privacy policies that can be found  here. * Affiliates shall mean any entity that directly or indirectly controls, is controlled by or is under common control with ShopFully SpA and its Affiliates’ subsidiaries, meaning any entity which is directly or indirectly controlled by the Affiliates.

Leonardo · Edinburgh, United Kingdom

Job Description: Your Impact As a Data Engineer, you will design, develop, deploy, and maintain data architecture which employs various methods to transform raw data into processed data. You will own the DataOps infrastructure, ensuring the performance, reliability, and scalability of data ingestion and processing pipelines to support evolving business and operational demands. To succeed in this data engineering position, you should have strong problem-solving skills and the ability to combine data from different sources. Data engineer skills also include familiarity with several programming languages. What you’ll do Orchestrate the ingestion, processing, and storage of raw data within structured and unstructured data repositories. Design, Develop, Deploy and Support data infrastructure, pipelines and architecture. Implement reliable, scalable, and tested solutions to automate data ingestion. Development of systems to manage batch processing and real-time streaming of data. Evaluate business needs and objectives. Support implementation of data governance requirements. Facilitate pipelines, which prepare data for prescriptive and predictive modelling. Working with domain teams to scale the processing of data. Identify opportunities for data acquisition. Combine raw information from different sources. Manage and maintain automated tools for data quality and reliability. Explore ways to enhance data quality and reliability. Collaborate with data scientists, IT, and architects on several projects. What you’ll bring Successful Candidates will have previous experience as a data or software engineer in a similar role. Requirements include; Technical expertise in designing, building, and maintaining data pipelines, data warehouses, and leveraging data services. Proficient in DataOps methodologies and tools, including experience with continuous integration/continuous delivery (CI/CD) pipelines, containerisation, and workflow orchestration. Familiar with ETL/ELT frameworks, and experienced with Big Data Processing Tools (e.g. Spark, Airflow, Hive, etc.) Knowledge of programming languages (e.g. Java, Python, SQL) Hands-on experience with SQL/NoSQL database design. Degree in STEM, or similar field; a master’s is a plus. Data engineering certification (e.g. IBM Certified Data Engineer) is a plus. We value skills, knowledge and experience gained through both traditional and non-traditional career paths and encourage applications from candidates who can demonstrate equivalent capability through professional experience or alternative qualifications. Security Clearance This role is subject to pre-employment screening in line with the UK Government’s Baseline Personnel Security Standard (BPSS). An additional range of Personnel Security Controls referred to as National Security Vetting (NSV) may apply, this could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV). For more information and guidance please visit: https://careers.uk.leonardo.com/gb/en/security-and-vetting Why join us At Leonardo, our people are at the heart of everything we do. We offer a comprehensive, company-funded benefits package that supports your wellbeing, career development, and work–life balance. Whether you're looking to grow professionally, care for your health, or plan for the future, we’re here to help you thrive. Time to Recharge: Enjoy generous leave with the opportunity to accrue up to 12 additional flexi-days each year. Secure your Future: Benefit from our award-winning pension scheme with up to 15% employer contribution. Your Wellbeing Matters: Free access to mental health support, financial advice, and employee-led networks championing inclusion and diversity (Enable, Pride, Equalise, Armed Forces, Carers, Wellbeing and Ethnicity). Rewarding Performance : All employees at management level and below are eligible for our bonus scheme. Never Stop Learning : Free access to 4,000+ online courses via Coursera and LinkedIn Learning. Refer a friend: Receive a financial reward through our referral programme. Tailored Perks : Spend up to £500 annually on flexible benefits including private healthcare, dental, family cover, tech & lifestyle discounts, gym memberships and more. Flexible working: Flexible hours with hybrid working options. For part time opportunities, please talk to us about what might be possible for this role. For a full list of our company benefits please visit our website. Leonardo is a global leader in Aerospace, Defence, and Security. Headquartered in Italy, we employ over 53,000 people worldwide including 8,500 across 9 sites in the UK. Our employees are not just part of a team—they are key contributors to shaping innovation, advancing technology, and enhancing global safety. At Leonardo we are committed to building an inclusive, accessible, and welcoming workplace. We believe that a diverse workforce sparks creativity, drives innovation, and leads to better outcomes for our people and our customers. If you have any accessibility requirements to support you during the recruitment process, just let us know. Be part of something bigger - apply now! #LI-RD1 Primary Location: GB - Edinburgh Additional Locations: GB - Newcastle Contract Type: Employee-Permanent Hybrid Working: Hybrid

Veliu · Milan, Italy

TRANSFORMING CIRCULAR ECONOMY EMBRACE OUR MISSION Circularity for everyone! We are on a mission to help people recover the value embedded in their pre-owned goods, transforming them into currency, and enabling brands to sell more sustainably. We’ve built a unique AI-powered, product-centric platform that connects retailers, consumers, and professional used-goods buyers. As we scale rapidly across Europe, we’re raising the bar for sustainability in one of the largest markets worldwide. LIVE BY OUR CULTURE We foster autonomy within our team, driven by our mission and the belief that 'culture eats strategy for breakfast.' In our view, agile management, long-term planning, and a deductive approach often fall short—only execution and tangible results truly matter. We believe in shared ownership of the company and learning through experimentation. JOIN OUR TEAM We are highly focussed on people and work relentlessly to put the best possible team together. Veliuers have worked in some of the best startups worldwide: Senso, Palantir, Reddit, Meta, Scalapay, Sibill, ScaleAi, Satispay and more! We secured our 4m USD pre-seed round in July 2025 and we have giga office in Milan (Italy). ROLE In this role, you'll be seen by the team as the go-to person for most of our data pipelines and data science/ML projects. This isn't a research-focused position — the workflows you build will be used in real-life, production applications that directly impact our users and partners. Your work will play a key role in powering our platform and driving meaningful results across the board. CORE RESPONSIBILITIES - Data Engineering: - Design, build, and maintain scalable data pipelines to collect, clean, and transform large volumes of structured and unstructured data. - Collaborate with the engineering team to develop efficient data storage solutions (e.g., data lakes, warehouses) and ensure smooth data flow for AI, data science and analytics use cases. - Data Science & AI/ML: - Develop, train, and deploy AI/ML models for prediction, recommendation, and optimization tasks, with a focus on Pricing, Risk Management and Catalog Management. - Continuously experiment and validate model performance, ensuring robustness and scalability in real-world applications. - Work on applied AI techniques such as natural language processing (NLP) or computer vision to enhance company products and services. SKILLS WE ARE LOOKING FOR - Experience with programming languages and tools (e.g., Python, SQL, Spark, Pandas, Polars) - Proficiency in data science and machine learning techniques (e.g., regression, classification, clustering, time series forecasting). - Familiarity with AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Spacy). - Passion for AI applications in fintech, sustainability, and the circular economy. - Nice to have: - Experience with cloud environment (e.g., AWS/GCP/Azure), cloud computing and ETL. - Experience with data visualization tools (e.g., Plotly, Seaborn) - Proficiency with version control (e.g., Git)