At a Glance
- Tasks: Design and deploy AI/ML models for real-world applications and collaborate with cross-functional teams.
- Company: Join a leading digital transformation company empowering global brands.
- Benefits: Competitive salary up to £80,000, bonuses, and hybrid work options.
- Other info: Exciting opportunity for career growth in a dynamic environment.
- Why this job: Make a meaningful impact through innovative technology and challenging projects.
- Qualifications: Experience in AI/ML development, Python, and data science required.
The predicted salary is between 48000 - 64000 € per year.
Employment Type:Permanent
Start: ASAP(October/November/Decmeber 2025)
Location:Hertfordshire, UK - Hybrid
Language(s):English
Salary:Up to 80,000 p/a + bonus and benefits
Focus on SAPis a specialist SAP and ERP Recruitment organisation offering both permanent and contract staffing solutions on a global scale.
Client Partneredwith a global leader in digital transformation and IT services, working with some of the worlds biggest brands.Theirmission is not only to deliver cutting-edge technology but also to empower organisations to create meaningful impact for the people and communities they serve. For you, this means working on challenging projects that demandinnovation, collaboration, and thought leadership.
Role We are seeking an experienced AI/ML and Data Science Developer to design, develop, and deploy AI/ML models and solutions, including LLMs and Generative AI applications. You will work across the full development lifecycle, from concept and feature engineering to deployment and monitoring by driving innovation and helping shape next-generation data-driven solutions. You will collaborate with business and technical stakeholders to translate requirements into scalable, production-ready AI/ML systems, using advanced data science techniques to deliver measurable business impact.
Key Responsibilities:
- Design, develop, and deploy AI/ML and GenAI models for real-world applications.
- Perform feature engineering, selection, and optimisation to enhance model accuracy.
- Select and implement suitable machine learning algorithms (supervised, unsupervised, reinforcement).
- Deploy and monitor models in production, ensuring robustness and scalability.
- Detect model drift, retrain models, and refine pipelines as needed.
- Conduct data exploration, analysis, and preprocessing for large structured/unstructured datasets.
- Collaborate with cross-functional teams to integrate models into business systems.
- Apply predictive analytics, statistical modelling, and time series forecasting to drive decision-making.
- Maintain clear documentation for all AI/ML pipelines and workflows.
Key Skills:
- Solid hands-on experience in AI/ML development and data science.
- Deep understanding of AI/ML algorithms, LLMs, GenAI, and automation frameworks.
- Proficiency with Python, R, and frameworks such as TensorFlow, PyTorch, scikit-learn, NumPy, pandas.
- Experience in data wrangling, data preprocessing, and statistical modelling.
- Skilled in data visualisation tools (e.g., Matplotlib, Seaborn, Tableau).
- Ability towork independentlyand lead projects from inception to deployment.
- Experience with big data technologies (Hadoop, Spark) and cloud platforms (AWS, Azure, GCP) - Desirable.
Applicants must be a UK resident and holds a valid right to work status.
Senior AI/ML and Data Science Developer employer: Focus on SAP
Focus on SAP is an exceptional employer, offering a dynamic work environment in Hertfordshire that fosters innovation and collaboration. With a strong commitment to employee growth, the company provides access to cutting-edge projects in AI/ML and data science, alongside competitive salaries and benefits. The hybrid work model promotes a healthy work-life balance, making it an ideal place for professionals seeking meaningful and rewarding careers in digital transformation.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI/ML and Data Science Developer
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI/ML and data science fields. Attend meetups, webinars, or even local tech events. 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 AI/ML projects. Whether it's GitHub repos or a personal website, having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and case studies related to AI/ML. Practice explaining your thought process clearly and concisely, as communication is key in collaborative environments.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior AI/ML and Data Science Developer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior AI/ML and Data Science Developer role. Highlight your hands-on experience with AI/ML development and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Skills:Don’t just list your skills; demonstrate them! Use specific examples of how you've applied Python, R, or any machine learning frameworks in your previous roles. This helps us understand your practical experience and how you can contribute to our team.
Be Clear and Concise:When writing your application, keep it clear and concise. Avoid jargon unless it's necessary, and make sure your points are easy to follow. We appreciate straightforward communication that gets to the heart of your qualifications.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Focus on SAP
✨Know Your Tech Inside Out
Make sure you’re well-versed in the AI/ML algorithms and frameworks mentioned in the job description. Brush up on your Python, R, and tools like TensorFlow and PyTorch. Being able to discuss your hands-on experience with these technologies will show that you’re not just familiar but truly capable.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific projects where you’ve designed, developed, or deployed AI/ML models. Highlight how you tackled challenges like model drift or data preprocessing. Real-world examples will demonstrate your ability to apply your skills effectively.
✨Collaboration is Key
Since this role involves working with cross-functional teams, be ready to talk about your experience collaborating with others. Share examples of how you’ve integrated models into business systems and how you’ve communicated complex ideas to non-technical stakeholders.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to AI/ML and their current projects. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals. Plus, it’s a great way to engage with your interviewers!
