At a Glance
- Tasks: Lead AI engineering projects and drive innovation in digital transformation.
- Company: Join Atos, a global leader in digital transformation and cybersecurity.
- Benefits: Competitive salary, diverse work culture, and opportunities for professional growth.
- Other info: Dynamic environment with a strong focus on continuous learning and innovation.
- Why this job: Be at the forefront of AI technology and make a real impact on the future.
- Qualifications: Experience in AI solutions and software development lifecycle.
The predicted salary is between 80000 - 100000 £ per year.
hackajob is collaborating with Atos to connect them with exceptional professionals for this role.
About Atos Group: Atos Group is a global leader in digital transformation with c. 7.2 billion (at the go-forward perimeter), operating in 54 countries under two brands - Atos for services and Eviden for products and systems. European number one in cybersecurity and a leader in cloud, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries.
The purpose of Atos Group is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence.
Responsibilities include:
- Leading the way in agentic transformation of our global business lines, including AI SDLC and the SAFe way of working.
- Acting as a credible and trusted advisor, educating others.
- Executing AI Spectrum engineering strategy.
- Leading and managing an engineering organization, ensuring the optimal structure to deliver portfolio offerings.
- Aligning with CTO and Engineering peers on technology strategy, tooling selection, and innovation aspects.
- Coaching and developing engineering leaders and experts within the team.
- Building a strong engineering culture of continuous learning, automation by design, and AI-driven.
- Liaising with partner product organization for co-engineering and early technology adoption.
- Taking responsibility for adoption of Delivery units and successful handover/enablement.
Experience required:
- Building and deploying AI/Agentic solutions.
- Software development background.
- Experience with software development lifecycle (SDLC), methods and processes.
Setting a clear technology direction and translating it into concrete actions. Driving technology transformation and fostering innovation, AI, and automation across services.
Here at Atos, diversity and inclusion are embedded in our DNA. Choose Atos.
AI / Machine Learning Specialist in London employer: Atos
Atos is an exceptional employer that prioritises innovation and strategic leadership within the National Security, Safety and Energy sectors. With a strong commitment to employee growth, a collaborative work culture, and comprehensive benefits including a pension scheme and medical cover, Atos provides a rewarding environment for professionals looking to make a significant impact in their field. Located in the UK, this role offers unique opportunities to influence industry trends and drive technological advancements.
StudySmarter Expert Advice🤫
We think this is how you could land AI / Machine Learning Specialist in London
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We think you need these skills to ace AI / Machine Learning Specialist in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Atos. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Atos
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
