OverviewAs a senior AI/ML engineer, you'll play a key role in shaping how we use AI across the business. You'll design and build scalable data pipelines and machine learning models, and turn them into products and services that create real value for our teams and customers. You'll be hands-on with cutting-edge tools in Microsoft Fabric, Azure Machine Learning and MLflow, and collaborate with analytics engineers, data scientists, product managers and software developers to deliver data products that power customer interactions and drive insight.This is a role for someone who enjoys solving complex problems, mentoring others, and driving innovation in a fast-moving environment.ResponsibilitiesBuild and maintain end-to-end AI/ML data pipelines in Microsoft Fabric, from ingestion and transformation through to model deployment and monitoringDesign and develop machine learning and deep learning models to solve real business challenges and improve decision-makingDeploy models via Azure ML and MLflow, track performance and retrain where neededEstablish MLOps best practices: versioned data & features, reproducible training, CI/CD, promotion gates, canary/blue green deploys, rollbackWork closely with colleagues across data science, analytics and the wider business to identify opportunities and turn them into AI-driven products and dashboardsUphold data quality, governance and security throughout the AI/ML lifecycleImplement model monitoring (latency, drift, cost), alerts, runbooks and validation and tuning processes to ensure accuracy and reliability. Agree SLOs with the platform teamEvaluate and adopt new tools and practices to enhance our MLOps stack and modernise our platformWork with the data scientists to apply AI responsibly through evaluation plans, bias/fairness checks, model cardsSupport and mentor junior colleagues, sharing knowledge and fostering a culture of collaborationQualificationsStrong experience designing, building and maintaining scalable data pipelines and architectures for AI/MLFamiliarity with Microsoft Fabric (Data Engineering, Data Science, Real-Time Analytics) and Azure ML, including MLflowProficiency with tools such as Apache Spark, Azure Data Factory, GIT, Python and SQLSkilled in developing, training and deploying machine learning models with frameworks like TensorFlow, PyTorch or Scikit-learnStrong understanding of data modelling, data governance, security and responsible AI practicesExcellent problem-solving skills and the ability to explain technical concepts to varied audiencesAbility to manage priorities and deliver results in a fast-paced environmentDesirableExperience with generative AI, large language models (e.g. LangChain, vector databases) and retrieval-augmented generationKnowledge of AutoML, hyperparameter tuning and advanced MLflow featuresExperience with streaming and real-time data platformsFamiliarity with CI/CD, MLOps and deployment pipelines (Azure DevOps, GitHub Actions, Docker)Commercial awareness in e-commerce, travel or holiday-lettings sectorsExperience mentoring others or leading technical workstreamsAbout youCurious, innovative and passionate about data and AIA team player who values collaboration and honest communicationAble to take ownership, work independently and deliver on commitmentsSupportive and approachable, with a willingness to share knowledgeCommitted to building ethical AI solutions that respect privacy, security and sustainabilityBenefitsAnnual STIP Company-wide Bonus Scheme offering up to an additional 10% of your salary through our performance-based bonus program33 days holiday (incl. bank hols) + extra days for long serviceYour birthday off2 paid volunteering daysEnhanced Maternity and Paternity Leave - (24 weeks maternity, 3 weeks paternity at 100% pay)B Corp certified - we care about people & planetExclusive holiday discounts for you, friends, and familyWellbeing perks, gym access at HQ, health cash planHybrid working & on-site parking #J-18808-Ljbffr