AI Engineering Consultant / Senior Consultant in Manchester

AI Engineering Consultant / Senior Consultant in Manchester

Manchester Full-Time 81000 - 99000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and operationalise advanced AI systems to drive business transformation.
  • Company: Join Capgemini Invent, a leader in tech innovation and transformation.
  • Benefits: Flexible working, competitive salary, and a focus on employee wellbeing.
  • Other info: Dynamic team culture with opportunities for personal and professional growth.
  • Why this job: Be at the forefront of AI technology and make a real-world impact.
  • Qualifications: Experience in AI/ML solutions and cloud platforms is essential.

The predicted salary is between 81000 - 99000 £ 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.

We’re seeking an AI engineer who can design, build, and operationalise advanced AI, Machine Learning, and Generative AI systems at enterprise scale. The focus of this role is to bridge the gap between AI prototypes and embedding data and AI solutions in business. You’ll scale AI solutions responsibly and reliably, ensuring they move from lab to live by building the right solutions, practices, and guardrails while ensuring business value creation and impact.

YOUR ROLE

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

Role

As part of your role, you will also have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories:

  • Business Development - Build client-ready demos/POVs, support proposals and technical deep-dives, and showcase delivery patterns.
  • Internal contribution - Build reusable assets and frameworks that accelerate delivery across accounts, shape frameworks for Capgemini’s Data & AI Innovation team, support capability development by contributing to our internal communities and best practices.
  • Capability Development - Contribute to thought leadership, blog posts, or internal accelerator development in emerging AI engineering topics such as Agentic AI, LLMOps, or evaluation frameworks.

YOUR PROFILE

We’d love to meet someone with:

  • 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.

Your Technical Expertise

This list shows the technologies we work with most often. We don’t expect you to have experience in all of them - what matters is a strong foundation and a good cross-section of these skills, along with the adaptability and curiosity to learn new tools as projects demand. We like to innovate and need self-driven, fast-paced learners in our team.

  • 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. We’re looking for more people with the curiosity, drive, and self-starting spirit of real innovators, people who love technology and want to build the future with us.

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 as 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.

Whilst you will have London, Manchester or Glasgow as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice. We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance.

About Capgemini

Capgemini is a global business and technology transformation partner, helping organizations 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 Manchester employer: Capgemini Invent

Capgemini Invent is an exceptional employer that champions a culture of learning, ownership, and innovation, making it an ideal place for Digital Trust Consultants to thrive. With access to extensive training opportunities, including certifications in cybersecurity and cloud technologies, employees are empowered to grow their skills while working on high-profile transformations. The company's commitment to diversity, flexible working arrangements, and employee wellbeing ensures a supportive environment where individuals can bring their whole selves to work, all while contributing to meaningful projects that have a positive social impact.

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Contact Details:

Capgemini Invent Recruitment Team

StudySmarter Expert Advice🤫

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

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Capgemini Invent or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Capgemini Invent.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Capgemini Invent.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Capgemini Invent that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

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

MLOps Framework Implementation
AI/ML System Design and Delivery
Generative AI Solutions
Cloud Services Architecture (Azure, GCP, AWS)
Data Preparation and Model Development
Model Deployment and Monitoring
Collaboration with Multi-Disciplinary Teams

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Capgemini Invent.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Capgemini Invent and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Capgemini Invent

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Capgemini Invent uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.