At a Glance
- Tasks: Develop AI solutions to tackle real-world business challenges and create impactful prototypes.
- Company: Join a forward-thinking company that values innovation and collaboration.
- Benefits: Flexible working hours, competitive pay, and a focus on your well-being.
- Other info: Enjoy continuous learning and growth in a dynamic, global environment.
- Why this job: Be at the forefront of AI technology and make a difference in diverse industries.
- Qualifications: Master’s or PhD in relevant fields with experience in machine learning and Python.
The predicted salary is between 50000 - 60000 £ per year.
We are seeking a highly motivated Machine Learning Engineer to join our team and work directly with customers on challenging business problems. In this role, you will apply advanced machine learning and data science techniques to develop rapid prototypes, deliver business value, and push the boundaries of what is possible with AI.
Responsibilities
- Translate complex business problems into mathematical or computational models.
- Design, implement, and optimize machine learning algorithms and data mining workflows.
- Collaborate directly with customers to understand business needs, define requirements, and deliver proof‑of‑concept AI solutions.
- Build, integrate, and test AI‑driven prototypes and applications for real‑world use cases.
- Support internal teams by designing and implementing novel machine learning algorithms.
- Apply recent research breakthroughs to practical problems to create measurable business value.
- Contribute to continuous improvement of system scalability, performance, and explainability.
- Clearly communicate complex results and insights to both technical and non‑technical stakeholders.
- Work cross‑functionally with product, engineering, and research teams to drive AI adoption.
Qualifications
- Master’s degree or PhD in Computer Science, Applied Mathematics, Statistics, Engineering, or related field.
- 1–3 years of experience in machine learning, data science, or AI research (industry, research lab, or advanced academic projects).
- Strong background in machine learning, deep learning, data mining, and/or optimization.
- Proficiency with Python and machine learning libraries (e.g., PyTorch, TensorFlow, scikit‑learn).
- Experience working with real‑world datasets, data preprocessing, and model deployment.
- Familiarity with cloud environments (AWS, Azure, GCP).
- Ability to translate abstract business challenges into concrete AI solutions.
- Strong analytical, problem‑solving, and mathematical modeling skills.
- Curiosity and initiative in exploring new AI techniques and applications.
- Ability to collect and process necessary data utilizing big data infrastructures and data processing/transformation tools such as Databricks.
- Write production‑grade Python code.
- Excellent communication and collaboration skills, especially in customer‑facing environments.
- Commitment to ethical and explainable AI practices.
- Familiarity with agile software development methods.
Contract Details
This is a fixed‑term 6‑month paid contract. The role offers exposure to diverse problem domains and allows for variable working hours to accommodate a global team.
Benefits & Work Environment
- Variable working hours with flexibility to collaborate with a global team.
- Constant learning and skill growth opportunities.
- Competitive benefits package and focus on employee health and well‑being.
SAP Machine Learning Engineer - fixed-term 6 months contract employer: SAP
Join a forward-thinking company that values innovation and collaboration, where as an SAP Machine Learning Engineer, you will have the opportunity to tackle complex business challenges while working with a diverse global team. Our commitment to employee growth is reflected in our flexible working hours and a competitive benefits package that prioritises your health and well-being, making us an excellent employer for those seeking meaningful and rewarding work in the AI field.
StudySmarter Expert Advice🤫
We think this is how you could land SAP Machine Learning Engineer - fixed-term 6 months contract
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, prototypes, or any relevant work. This gives you a chance to demonstrate your expertise and creativity beyond just a CV.
✨Tip Number 3
Prepare for interviews by practising common technical questions and case studies related to AI and machine learning. We recommend simulating real interview scenarios with friends or mentors to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace SAP Machine Learning Engineer - fixed-term 6 months contract
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Machine Learning Engineer. Highlight your experience with machine learning algorithms, Python proficiency, and any relevant projects that showcase your skills in AI. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about machine learning and how your background aligns with our needs. Don’t forget to mention any customer-facing experiences that demonstrate your communication skills.
Showcase Your Projects:If you've worked on any interesting machine learning projects, make sure to include them in your application. Whether it's a prototype or a research project, we love seeing practical applications of your skills. It helps us understand your hands-on experience!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at SAP
✨Know Your Machine Learning Stuff
Make sure you brush up on your machine learning algorithms and data science techniques. Be ready to discuss how you've applied these in real-world scenarios, especially with Python and libraries like PyTorch or TensorFlow. They’ll want to see that you can translate complex problems into practical AI solutions.
✨Show Off Your Problem-Solving Skills
Prepare to talk about specific business challenges you've tackled using machine learning. Think of examples where you designed and implemented algorithms that delivered measurable business value. This will demonstrate your ability to think critically and apply your knowledge effectively.
✨Communicate Clearly
Since you'll be working with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. You might be asked to present your past projects, so make sure you can convey your insights clearly and confidently.
✨Be Curious and Open-Minded
Show your enthusiasm for exploring new AI techniques and applications. Discuss any recent research breakthroughs you've followed and how they could apply to the role. This will highlight your initiative and commitment to continuous learning, which is key in a fast-evolving field like AI.
