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Data sits at the heart of the company. This role ensures that Awin can fully leverage the data available across the group, enabling the development of robust reporting capabilities that support stronger commercial decision making and elevate campaign management for client facing teams. As an AI/ML Engineer, you will be responsible for researching, designing, building, and automating predictive models, as well as establishing metrics to monitor model performance and accuracy. You bring strong communication and analytical skills, work effectively both independently and within a team, and contribute proactively to improving engineering standards and working practices. You possess a deep understanding of data and business requirements and can translate these into clear technical specifications. You write clean, maintainable, and high quality code, and you are capable of implementing a wide range of data extraction, transformation, and storage methodologies. Your expertise enables you to develop new predictive models while also enhancing and optimizing existing ones. In this role, you will break down complex requirements into structured, actionable tasks. As part of the Data Services department, you will collaborate with a global team of data engineers, data analysts, and other big data specialists across the organisation.
Job Responsibility:
Write clean, elegant and maintainable code with Data engineering and AI/ML best practices
Understanding business objectives and developing models that help to achieve them, along with the creation and monitoring of business relevant metrics
Find new ways solve complex business problems with self improving automated predictive models
Evaluate existing models and recommend improvements for better result and performance efficiency
Develop best practices for building and orchestrating predictive models
Be responsible for quality, accuracy and interpretation of the result sets
Requirements:
Bachelor's degree or higher in Data Science, Data Engineering or a related field, preferably with a strong focus on mathematics, statistics, or data engineering
2+ years experience as data engineer on AI/ML project with Python
Strong experience using Databricks, including Jobs, Asset Bundles, Delta Lake, and MLflow, as well as Azure data engineering tools such as Azure Data Factory and Azure Data Lake Storage (ADLS)
Solid understanding of Scrum practices and a strong Agile mindset
Advanced proficiency in Python and its key data and ML libraries (NumPy, PySpark, Scikit learn, TensorFlow/PyTorch)
Working knowledge of generative AI models (e.g., ChatGPT, Claude), Databricks GenAI tooling (including embedding models), and modern data structures such as vector databases
Strong expertise in designing end to end ETL solutions using Databricks, including identifying, extracting, and curating datasets for machine learning model development
Strong knowledge of cloud platforms (Azure and AWS) and relevant services
Hands on experience with big data technologies, including Databricks and Spark
Very strong analytical skills to translate business need into actions with proactive approach to task and challenges, delivering project on time and budget
Very strong understanding of the principles of machine learning
Create mind-set to bring new ideas and push the machine learning project to next level
Willing to change, learn and start initiatives
Ability to face existing challenges self-reliant with the courage to take autonomous decisions if needed
Very strong communication and interaction skills
Very strong project and process management competency, keen to deliver your project on time/budget without compromising on quality and results
Team player, willing to improve yourself
What we offer:
Flexi-Week and Work-Life Balance: a flexible four-day Flexi-Week at full pay and with no reduction to annual holiday allowance
Remote Working Allowance: a monthly allowance to cover part of your running costs
Flexi-Office: international culture and flexibility through Flexi-Office and hybrid/remote work possibilities to work across Awin regions
Meal Vouchers: a certain net sum to spend on a variety of lunches
Health & Wellbeing: insurance covering several types of health, vision and/or dental treatments for you and for up to one additional family member
Remote Working Furniture Package: after 3 months of employment, eligible for a furniture package to set up a proper workplace at your remote working location
Appreciation: thank and reward colleagues by sending them a voucher through our peer-to-peer program