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For Companies At a Glance
- Tasks: Design and develop AI and ML solutions for SAP, optimising enterprise processes.
- Company: Join a leading tech firm at the forefront of AI innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact by integrating cutting-edge AI into business processes.
- Qualifications: Strong knowledge of machine learning and experience with SAP BTP and Python.
- Other info: Collaborative environment with excellent career advancement potential.
The predicted salary is between 36000 - 60000 £ per year.
The SAP AI & ML platform enables enterprises to embed intelligent automation, predictive analytics, and AI-driven insights into SAP business processes using SAP S/4HANA, SAP BTP, and cloud-native AI services. As a Senior SAP AI & ML Engineer, you will work closely with SAP Architects, Data Scientists, and Business Stakeholders to design, develop, and integrate Machine Learning models (including MLPs) and AI services into SAP landscapes. You will leverage SAP coding standards, GitHub-based DevOps, SAP BTP AI services, and GenAI capabilities to optimize enterprise processes and enable data-driven decision-making. The consultant will work closely with functional teams, ABAP developers, and architects to deliver intuitive, secure, and high-performing user interfaces using SAP Fiori and SAP UI5.
Responsibilities
- Design and develop SAP-based AI and ML solutions aligned with enterprise architecture standards.
- Build, train, deploy, and monitor ML models (including MLPs) for SAP business use cases.
- Integrate AI/ML solutions with SAP systems (S/4HANA, BW, Datasphere) using APIs and OData services.
- Develop SAP applications using ABAP, CDS, RAP/CAP, and SAP BTP services.
- Implement GitHub-based version control, CI/CD pipelines, and DevOps practices.
- Collaborate with SAP Architects to ensure secure, scalable SAP and cloud integrations.
- Define security, access controls, and compliance for AI-enabled SAP solutions.
- Identify and assess AI integration opportunities and architectural impacts.
- Document solution architecture, ML pipelines, and integration patterns.
- Support existing SAP AI solutions through structured change and release management.
- Implement GenAI use cases to enhance SAP process intelligence and automation.
- Communicate technical risks and contribute to governance and change management processes.
SKILLS
Must have
- Strong knowledge of Machine Learning fundamentals, including supervised learning and model evaluation.
- Hands‑on experience with MLP models, neural networks, and Python‑based ML development.
- Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit‑learn.
- Expertise in SAP BTP, including AI Core, AI Launchpad, and integration services.
- Experience integrating AI/ML models into SAP using REST APIs, OData, and microservices.
- Proficiency with GitHub, CI/CD pipelines, and DevOps practices.
- Strong SQL and data handling skills with SAP HANA.
- Knowledge of cloud platforms (AWS, Azure, or GCP) in SAP hybrid environments.
- Experience with GenAI integration and MLOps concepts including model deployment and monitoring.
Nice to have
- Strong stakeholder engagement and cross-functional collaboration skills.
- Excellent analytical and problem‑solving abilities.
- Ability to mentor junior developers and share best practices.
- Strong communication and documentation skills.
- Agile/Scrum experience in enterprise delivery environments.
Senior SAP AI & ML Engineer in London employer: Luxoft
Contact Detail:
Luxoft Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior SAP AI & ML Engineer in London
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even local tech events. The more people you know, the better your chances of landing that Senior SAP AI & ML Engineer role.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those involving MLP models or AI integrations. This will give potential employers a taste of what you can bring to the table.
✨Ace the Interview
Prepare for technical interviews by brushing up on your ML fundamentals and SAP BTP knowledge. Practice common interview questions and be ready to discuss your past projects in detail. Confidence is key!
✨Apply Through Our Website
Make sure to apply directly through our website for the best chance at getting noticed. We love seeing candidates who take the initiative to engage with us directly!
We think you need these skills to ace Senior SAP AI & ML Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior SAP AI & ML Engineer role. Highlight your hands-on experience with MLP models, Python-based ML development, and any relevant projects you've worked on.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and ML in the SAP landscape. Share specific examples of how you've integrated AI/ML solutions in past roles and how you can contribute to our team.
Showcase Your Technical Skills: Don’t forget to mention your expertise in GitHub, CI/CD pipelines, and SAP BTP services. We want to see your familiarity with ML frameworks like TensorFlow or PyTorch, so make sure these are front and centre!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at Luxoft
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Machine Learning fundamentals and the specific frameworks mentioned in the job description, like TensorFlow and PyTorch. Be ready to discuss your hands-on experience with MLP models and how you've applied them in real-world scenarios.
✨Showcase Your Integration Skills
Prepare examples of how you've integrated AI/ML solutions into SAP systems using REST APIs or OData services. Highlight any projects where you collaborated with cross-functional teams, as this role requires strong stakeholder engagement.
✨Demonstrate Your DevOps Know-How
Familiarise yourself with GitHub-based version control and CI/CD pipelines. Be prepared to explain how you've implemented these practices in past projects, as well as any challenges you faced and how you overcame them.
✨Communicate Clearly and Confidently
Practice articulating your thoughts on technical risks and governance processes. Strong communication skills are essential for this role, so ensure you can convey complex ideas simply and effectively during the interview.
