AI Engineering Consultant / Senior Consultant in London
AI Engineering Consultant / Senior Consultant

AI Engineering Consultant / Senior Consultant in London

London Full-Time 36000 - 60000 ÂŁ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and implement cutting-edge AI solutions that drive real business impact.
  • Company: Join Capgemini Invent, a leader in tech transformation with a vibrant culture.
  • Benefits: Enjoy flexible working, competitive salary, and a focus on employee wellbeing.
  • Why this job: Be at the forefront of AI innovation and make a tangible difference in the world.
  • Qualifications: Experience in AI/ML solutions and cloud platforms is essential.
  • Other info: Collaborate with a dynamic team passionate about technology and social impact.

The predicted salary is between 36000 - 60000 ÂŁ per year.

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting‐edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.

YOUR ROLE

  • Assess and implement robust MLOps framework, governance and best practices as per industry standards.
  • Design and deliver end‐to‐end AI/ML systems, from data preparation and model development to deployment, feature stores, model management and monitoring.
  • Deliver solutions using the latest Generative AI and Agentic Frameworks, such as ADK, Langgraph, Microsoft Agent Framework, Llamaindex and others.
  • Translate AI use case requirements into data and AI architectures using the most suitable cloud services across hyperscalars.
  • Architect and implement Generative AI solutions, including RAG pipelines, agentic workflows, and orchestration of large language models across Azure, GCP or AWS.
  • Embed safety, evaluation, and assurance mechanisms across the AI lifecycle, ensuring solutions are ethical, explainable, and responsible.
  • Translate business and functional requirements into technical blueprints and guide multi‐disciplinary teams to execute them.
  • Collaborate with Product Managers, Data Scientists and Business stakeholders to ensure AI solutions drive business value and impact.

YOUR PROFILE

  • Experience working in a major Consulting firm, and/or in industry but having a Consulting mindset with a proven ability to be successful in a matrixed organisation, and to enlist support and commitment from peers in selling and delivering solutions.
  • Experience of working with client sponsors, both technical and non‐technical, to collaboratively design requirements and build out solutions.
  • Experience of designing and implementing MLOPs strategy and framework and proven track record in designing and delivering AI/ML solutions at scale, from concept to production.
  • Deep understanding of Generative AI and Agentic AI — RAG pipelines, embeddings, evaluation harnesses, and orchestration frameworks.
  • Experience designing cloud‐native data and AI architectures across Azure, GCP, AWS and/or Databricks.
  • The ability to demonstrate the potential that scaling AI unlocks business value and impact.

TECHNICAL EXPERTISE

  • Experience with at least one major cloud platform: Azure (Foundry, AI Studio, OpenAI, AKS), GCP (Vertex AI, Cloud Run), AWS (Bedrock, SageMaker).
  • Experience building and automating AI/ML pipelines using tools such as MLflow, Kubeflow, Azure ML, Vertex Pipelines, Airflow or Google ADK.
  • Hands‐on experience with Generative and Agentic AI frameworks such as LangChain, LlamaIndex, CrewAI, Autogen, Google ADK, or similar.
  • Ability to design and implement RAG pipelines, agentic workflows, MCP and integration with LLM APIs (OpenAI, Anthropic, Hugging Face OR similar).
  • Proficiency in CI/CD and containerisation: GitHub Actions, Azure DevOps, Docker, Kubernetes.

NICE TO HAVES

  • Familiarity with evaluating AI system performance, including prompt evaluation, A/B testing, and quality assessment frameworks.
  • Understanding of modern data patterns: lakehouse architectures, vector databases, and relational/NoSQL stores.
  • Familiarity with API gateways, event streaming and general integration patterns.

ELIGIBILITY

You need to have resided in the UK for the last 5 years to be able to apply for this role.

WHAT YOU'LL LOVE ABOUT WORKING HERE

We’re a fantastic team of bright, ambitious people who love bringing the latest tech to real clients in production to make a meaningful difference. We work across both the public and private sectors, and our impact is tangible because we innovate, we deploy, and you will see your work come to life in the real world. Technology moves fast, and so do we. We’re a group of true tech enthusiasts who push boundaries, experiment freely, and are trusted at Capgemini to explore what comes next. Our in‐house projects highlight what’s possible with the newest models and agentic frameworks, and we regularly showcase our work at major events and conferences – and then we bring it to our clients to bring it to life, completing the full innovation tech cycle.

NEED TO KNOW

We are delighted to have received the "Glassdoor Best Places to work UK" accolade for 5 consecutive years. At Capgemini we don’t just believe in Diversity & Inclusion, we actively go out to making it a working reality. Driven by our core values and Active Inclusion Campaign, we build environments where you can bring your whole self to work. We aim to build an environment where employees can enjoy a positive work‐life balance. We embed hybrid working in all that we do and make flexible working arrangements the day‐to‐day reality for our people. All UK employees are eligible to request flexible working arrangements. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained "Mental Health Champions" across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy. We’re also focused on using tech to have a positive social impact. So, we’re working to reduce our own carbon footprint and improve everyone’s access to a digital world. It’s something we’re really serious about. In fact, we were even named as one of the world’s most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, you’ll join a team that does the right thing.

ABOUT CAPGEMINI

Capgemini is a global business and technology transformation partner, helping organisations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 350,000 team members in more than 50 countries. With its strong over 55‐year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end‐to‐end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market‐leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

AI Engineering Consultant / Senior Consultant in London employer: Capgemini Invent

At Capgemini Invent, we pride ourselves on fostering a vibrant and inclusive work culture that empowers our employees to innovate and make a tangible impact. With a strong focus on employee wellbeing, flexible working arrangements, and opportunities for professional growth, we ensure that our team members thrive both personally and professionally. Join us in London, where you will collaborate with bright minds on cutting-edge AI solutions, all while being part of a company recognised as one of the best places to work in the UK for five consecutive years.
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Contact Detail:

Capgemini Invent Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI Engineering Consultant / Senior Consultant in London

✨Tip Number 1

Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. The more people know you’re looking for an AI Engineering Consultant role, the better your chances of landing that dream job.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your AI/ML projects, especially those involving Generative AI and MLOps. This will give potential employers a taste of what you can bring to the table and set you apart from the competition.

✨Tip Number 3

Prepare for interviews by brushing up on common technical questions related to AI architectures and cloud services. Practice explaining your past projects and how they align with the role at Capgemini Invent. Confidence is key!

✨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, it shows you’re genuinely interested in joining our fantastic team at Capgemini Invent.

We think you need these skills to ace AI Engineering Consultant / Senior Consultant in London

MLOps Framework Implementation
AI/ML System Design and Delivery
Generative AI Frameworks
Cloud Services Architecture
RAG Pipelines Design
Agentic Workflows Orchestration
Data Preparation and Model Development
Technical Blueprint Translation
Collaboration with Multi-Disciplinary Teams
Cloud Platform Proficiency (Azure, GCP, AWS)
AI/ML Pipeline Automation
CI/CD and Containerisation
API Integration Patterns
Performance Evaluation of AI Systems

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the AI Engineering Consultant role. Highlight your experience with MLOps, Generative AI, and cloud platforms like Azure or GCP. We want to see how your skills align with what we do!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how you can contribute to our team at Capgemini Invent. Be genuine and let your personality come through.

Showcase Relevant Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's designing AI systems or implementing MLOps strategies, we love seeing real-world examples of your work.

Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our fantastic team!

How to prepare for a job interview at Capgemini Invent

✨Know Your Tech Inside Out

Make sure you’re well-versed in the latest AI and MLOps frameworks mentioned in the job description. Brush up on your knowledge of Generative AI, Agentic Frameworks, and cloud services like Azure, GCP, and AWS. Being able to discuss these technologies confidently will show that you're not just familiar but truly engaged with the field.

✨Showcase Your Consulting Mindset

Capgemini values a consulting mindset, so be prepared to demonstrate how you've successfully collaborated with both technical and non-technical stakeholders in the past. Share specific examples where you’ve translated complex requirements into actionable solutions, highlighting your ability to work in a matrixed organisation.

✨Prepare for Scenario-Based Questions

Expect scenario-based questions that assess your problem-solving skills and technical expertise. Think about real-world challenges you've faced in AI/ML projects and how you approached them. This is your chance to showcase your experience in designing and implementing AI solutions at scale.

✨Emphasise Ethical AI Practices

Given the emphasis on ethical and explainable AI in the role, be ready to discuss how you ensure safety and evaluation mechanisms in your projects. Talk about any frameworks or best practices you’ve implemented to guarantee responsible AI usage, as this aligns with Capgemini's values.

AI Engineering Consultant / Senior Consultant in London
Capgemini Invent
Location: London

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