Shape the future of AI - build intelligent solutions that drive real business impact!
The opportunity :
As 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.
What you’ll do :
- Build and maintain end-to-end AI/ML data pipelines in Microsoft Fabric, from ingestion and transformation through to model deployment and monitoring
- Design and develop machine learning and deep learning models to solve real business challenges and improve decision-making
- Deploy models via Azure ML and MLflow, track performance and retrain where needed
- Establish MLOps best practices: versioned data & features, reproducible training, CI/CD, promotion gates, canary/blue green deploys, rollback
- Work closely with colleagues across data science, analytics and the wider business to identify opportunities and turn them into AI-driven products and dashboards
- Uphold data quality, governance and security throughout the AI/ML lifecycle
- Implement model monitoring (latency, drift, cost), alerts, runbooks and validation and tuning processes to ensure accuracy and reliability. Agree SLOs with the platform team
- Evaluate and adopt new tools and practices to enhance our MLOps stack and modernise our platform
- Work with the data scientists to apply AI responsibly through evaluation plans, bias/fairness checks, model cards
- Support and mentor junior colleagues, sharing knowledge and fostering a culture of collaboration
What we’re looking for :
Essential
- Strong experience designing, building and maintaining scalable data pipelines and architectures for AI/ML
- Familiarity with Microsoft Fabric (Data Engineering, Data Science, Real-Time Analytics) and Azure ML, including MLflow
- Proficiency with tools such as Apache Spark, Azure Data Factory, GIT, Python and SQL
- Skilled in developing, training and deploying machine learning models with frameworks like TensorFlow, PyTorch or Scikit-learn
- Strong understanding of data modelling, data governance, security and responsible AI practices
- Excellent problem-solving skills and the ability to explain technical concepts to varied audiences
- Ability to manage priorities and deliver results in a fast-paced environment
Desirable
- Experience with generative AI, large language models (e.g. LangChain, vector databases) and retrieval-augmented generation
- Knowledge of AutoML, hyperparameter tuning and advanced MLflow features
- Experience with streaming and real-time data platforms
- Familiarity with CI/CD, MLOps and deployment pipelines (Azure DevOps, GitHub Actions, Docker)
- Commercial awareness in e-commerce, travel or holiday-lettings sectors
- Experience mentoring others or leading technical workstreams
About you :
- Curious, innovative and passionate about data and AI
- A team player who values collaboration and honest communication
- Able to take ownership, work independently and deliver on commitments
- Supportive and approachable, with a willingness to share knowledge
- Committed to building ethical AI solutions that respect privacy, security and sustainability
Forge Holiday Group Benefits:
- Annual STIP Company-wide Bonus Scheme offering up to an additional 10% of your salary through our performance-based bonus program
- 33 days holiday (incl. bank hols) + extra days for long service
- Your birthday off
- 2 paid volunteering days
- Enhanced Maternity and Paternity Leave - (24 weeks maternity, 3 weeks paternity at 100% pay)
- B Corp certified - we care about people & planet
- Exclusive holiday discounts for you, friends, and family
- Wellbeing perks, gym access at HQ, health cash plan
- Hybrid working & on-site parking
We’re committed to diversity and inclusion and encourage you to bring your authentic self. Need adjustments for recruitment? Just ask.
