National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Temporary less 6 month fixed salary

SAP
5 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst (SQL/EXCEL) (Amazing Airline!-Heathrow)

Senior Data Engineer

Finance Data Analyst

Data Engineer

Project Data Analyst

 We help the world run better

At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from.

Team Co-Ordinator & Creative Assistant

– BTP Services – EMEA Organization

 

 

PURPOSE AND OBJECTIVES

 

Are you interested in helping world-class enterprises to solve their most complex business challenges, blaze disruptive new trails and bring their company’s vision to life?

 

At SAP Regional Services Team, our mission is to empower visionary enterprises to achieve their greatest goals through software innovation. Our experts develop unique, leading-edge software solutions in collaboration with our clients – from discovery to delivery – to create tailored, high-value software that is backed by the power of SAP. We make innovation real by using the latest technologies around the Internet of Things, blockchain, artificial intelligence / machine learning, and big data and analytics. And we deliver our solutions quickly by employing an agile development approach.

 

AI Incubation Team is a global team under the Customer Success (CS) organization. It is chartered to enable adoption and consumption of SAP Business AI – across all LoBs. The team is helping customers identify and priorities SAP Business AI scenarios to maximize business value of their investments.

 

The team is focused on SAP’s strategic Business AI, working closely with various LoBs/Local MU’s/Sales/Pre-Sales Units across regions to enable and support increase adoption and consumption of SAP Business AI.

 

SAP offers an opportunity to highly motivated individuals to support the AI Incubation team in the areas of Team Co-Ordination, Administration, Designing Presentation & Research on SAP Business AI Topics. This position requires the individual to be very well versed with IT, Web Technologies, and a very good working knowledge on MS Office [particularly PowerPoint], MS Teams and related tools.

 

 

SKILLS, COMPETENCIES AND EXPECTATIONS

 

Responsibilities & Tasks

 

· Working with Architects and understanding discussed solutions. Preparing the relevant meeting notes and architectural slides,

· Creative ability to come up with the right pictorial design of proposed solutions on MS PowerPoint,

· Independent research in order to interpret, understand, and visualize content in the most effective manner and transmit the message with clarity,

· Quick understanding of SAP processes, roles and tasks of Demand Generation areas within the SAP Sales Organization. Co-ordination and keeping track of tasks and action items,

· Maintaining, creating, & following up on a list of potential customers to enable them on SAP Business AI and also the handover process to other organizations.

· Organizing calendars and co-ordinating team meetings/events. Maintaining regular communication and keeping track with the stakeholders.

 

Skills Required

 

· Must have skills on MS Teams and MS Office Tools. Extensive knowledge of all PowerPoint features,

· Must have creative skills and the ability to visualize a complex concept using tools for designing purposes,

· Must have knowledge of Web Technologies, some programming experience and very well versed with IT,

· Must have problem-solving skills with the ability to comprehend technical solution and draw them in pictures,

· Must have co-ordination skills with excellent time management and ability to work in multicultural teams,

· Knack for innovation – good understanding of latest technologies, SAP BTP, IoT, Blockchain, AI, etc.,

· Ability to independently research about new innovation areas involving edge technologies,

· Excellent written/verbal communication skills in English and a very good team player.

 

EDUCATION QUALIFICATIONS AND WORK EXPERIENCE

 

- Graduate with a Bachelor’s Degree and strong interpersonal skills.

- Demonstrable work on MS PowerPoint

- Fluency in English is a must

- Experience in Business Development / Sales Support / Demand Generation Support roles is a plus

 

 

WHAT WE OFFER

 

Contract Type: Temporary [6 months], Full time

Job Location: Feltham, UK

 

Bring out your best

SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.

We win with inclusion

SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better and more equitable world.
SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team:
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in theSAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

EOE AA M/F/Vet/Disability:

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.
Successful candidates might be required to undergo a background verification with an external vendor.

Requisition ID: 410819  | Work Area: Administration  | Expected Travel: 0 - 10%  | Career Status: Graduate  | Employment Type: Limited Full Time   | Additional Locations: #LI-Hybrid.

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.