AI & ML Architect
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AI & ML Architect

London Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead AI and ML projects, transforming data into actionable insights for clients.
  • Company: Eviden is a global leader in digital transformation with a focus on data-driven solutions.
  • Benefits: Enjoy 25 days of annual leave, flexible benefits, retail discounts, and a private medical scheme.
  • Why this job: Join a dynamic team shaping the future of technology while making a real impact across industries.
  • Qualifications: Experience in data science, strong Python skills, and a background in Mathematics or Physics required.
  • Other info: Opportunities for mentorship and continuous learning in a supportive environment.

The predicted salary is between 43200 - 72000 £ per year.

Eviden, part of the Atos Group, is a global leader in data-driven, trusted and sustainable digital transformation. The Artificial Intelligence and Machine Learning team blend statistical techniques and ML to create value from data for our clients. You will collaborate with business stakeholders to identify use cases and shape opportunities for delivering data science solutions, ensuring a clear connection to business benefits.

You will extract, analyse, and interpret large amounts of data from a range of sources, using algorithmic, data mining, artificial intelligence, machine learning and statistical tools, to make it accessible to our clients. You will then present your results using clear and engaging language in a way that bridges the fundamentally theoretical aspects of these initiatives to the business needs, translating between technical and non-technical audiences. You will work across industries and technology platforms (Azure, AWS, GCP) with structured and unstructured data from an array of data sources.

Essential Duties & Responsibilities:

  • Lead and deliver innovative technical solutions that will meet the requirements of our clients, including gathering requirements, analysing, developing, testing, evaluating, and deploying the appropriate solution through the full development lifecycle.
  • Maintain clear and coherent communication, both verbal and written, to understand data needs and report results to technical and non-technical audiences.
  • Expertise in Designing and Architecting AI and Gen AI.
  • Horizon scan to stay up to date with the latest technology, techniques, and methods.
  • Conduct research from which you'll develop prototypes and proof of concepts.
  • Manage and mentor junior team members.

Person Specification:

  • Extensive experience in comprehending business challenges and converting this understanding into practical data science solutions.
  • Previous experience of delivering data science solutions using Microsoft Fabric and Azure DevOps or similar.
  • Passionate about the transformative impact the right information can have on a business.
  • Strong grasp of statistical methods, experimental design and the underlying principles of machine learning algorithms.
  • Ability to transform, analyse and model data from a variety of data sources, extracting and interpreting trends and insights.
  • Able to evaluate the models and experience of implementing them as stand-alone apps and as part of enterprise technology stacks.
  • DataOps / MLOps experience would be valued.
  • Strong Python programming for modelling and/or data analysis is essential, preferably with experience using the spaCy NLP framework and BERT.
  • Knowledge of database design as well as strong experience with SQL queries is desirable.
  • Familiarity with R and other common languages and tools would be beneficial.
  • Proficiency in stakeholder management and an effective, persuasive communication style to explain technical subjects to non-technical audiences.
  • Background in Mathematics or Physics and experience working within Agile projects as a team member and Scrum Master.

We care about our employees' happiness by offering 25 days of Annual leave + an option to purchase more through our Flexible Benefits, a flex benefits system, retail discounts, pension matching contributions up to 10%, a Private Medical Scheme, Life Assurance, enrolment in our Share scheme (subject to scheme eligibility criteria), and unlimited opportunities to learn in our Training platforms.

As a Disability Confident employer, we aim to ensure that people with disabilities who meet the minimum criteria for this position will be offered an interview. We are committed to making reasonable adjustments and changes as needed to the application and assessment process to remove or reduce any disadvantage associated with a person's disability.

Let’s grow together.

AI & ML Architect employer: Atos

Eviden, as part of the Atos Group, stands out as an exceptional employer by fostering a dynamic work culture that prioritises innovation and collaboration. With a commitment to employee growth through extensive training platforms and a flexible benefits system, team members are empowered to thrive in their careers while enjoying a healthy work-life balance. Located in a global hub for digital transformation, employees benefit from engaging with cutting-edge technologies and diverse industries, making every day an opportunity to make a meaningful impact.
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Contact Detail:

Atos Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI & ML Architect

✨Tip Number 1

Familiarise yourself with the latest trends in AI and machine learning, especially those relevant to the industries you’ll be working with. This will not only help you during interviews but also demonstrate your commitment to staying updated in a rapidly evolving field.

✨Tip Number 2

Network with professionals in the AI and ML space, particularly those who have experience with Microsoft Fabric and Azure DevOps. Engaging in discussions or attending meetups can provide insights into the role and may even lead to referrals.

✨Tip Number 3

Prepare to discuss specific projects where you've successfully translated complex data science concepts into business solutions. Being able to articulate your thought process and the impact of your work will set you apart from other candidates.

✨Tip Number 4

Brush up on your Python programming skills, particularly with libraries like spaCy and BERT. Consider building a small project or prototype that showcases your ability to handle data and implement machine learning models, as this can serve as a great talking point during interviews.

We think you need these skills to ace AI & ML Architect

Artificial Intelligence
Machine Learning
Data Analysis
Statistical Methods
Algorithm Design
Data Mining
Python Programming
spaCy NLP Framework
BERT
SQL Queries
Database Design
DataOps
MLOps
Cloud Platforms (Azure, AWS, GCP)
Stakeholder Management
Effective Communication
Agile Methodologies
Scrum Master Experience
Prototyping and Proof of Concepts
Mentoring and Team Leadership

Some tips for your application 🫡

Understand the Role: Before applying, take the time to thoroughly understand the job description for the AI & ML Architect position. Familiarise yourself with the key responsibilities and required skills, such as experience with Azure, Python programming, and stakeholder management.

Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job requirements. Emphasise your expertise in AI and machine learning, as well as any specific projects or achievements that demonstrate your ability to deliver data science solutions.

Craft a Compelling Cover Letter: Write a cover letter that connects your background to the role. Use clear and engaging language to explain how your experience can benefit Eviden. Mention your passion for data-driven solutions and your ability to communicate complex technical concepts to non-technical audiences.

Showcase Your Technical Skills: In your application, be sure to highlight your technical skills, particularly in Python, SQL, and any experience with tools like spaCy and BERT. Provide examples of how you've applied these skills in previous roles to solve business challenges.

How to prepare for a job interview at Atos

✨Understand the Role

Make sure you have a solid grasp of what an AI & ML Architect does. Familiarise yourself with the specific responsibilities mentioned in the job description, such as leading technical solutions and communicating with both technical and non-technical audiences.

✨Showcase Your Technical Skills

Be prepared to discuss your experience with relevant technologies like Microsoft Fabric, Azure DevOps, and Python programming. Highlight any projects where you've successfully implemented machine learning algorithms or data science solutions.

✨Prepare for Scenario-Based Questions

Expect questions that assess your problem-solving skills. Think of examples where you've transformed business challenges into data-driven solutions, and be ready to explain your thought process clearly.

✨Communicate Effectively

Practice explaining complex technical concepts in simple terms. Since the role involves bridging the gap between technical and non-technical stakeholders, demonstrating your communication skills will be crucial.

AI & ML Architect
Atos
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