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Deloitte

Manager, AI Engineer, AI Scaling and Transformation, Engineering, AI & Data, Technology & Transformation

Scotland
Posted about 18 hours ago
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Connect to your Industry

Do you want to be at the forefront of AI & Data transformation within Security & Justice, supporting organisations that operate in some of the most complex and sensitive environments?

Technology & Transformation

Across the Security & Justice sector, organisations must balance innovation with strict requirements around security, resilience, ethics, and public accountability. Data is at the core of this challenge, and AI has the potential to enhance operational efficiency, improve decision-making, and enable new capabilities - but only when engineered responsibly and deployed at scale. That is exactly what you will help our clients to achieve.

You will work on designing and delivering AI solutions that are robust, secure, and fit for purpose in high-assurance environments, helping clients move from pilots and proofs of concept to production-ready systems that deliver real operational impact.

Connect to your career at Deloitte

Deloitte drives progress. Using our vast range of expertise, we help our clients become leaders wherever they choose to compete. To do this, we invest in outstanding people. We build teams of future thinkers, with diverse talents and backgrounds, and empower them all to reach for and achieve more.

What brings us all together at Deloitte? It’s how we approach the thousands of decisions we make every day. How we behave, our beliefs, and our attitudes. In other words: our values. Whatever we do, wherever we are in the world, we lead the way, serve with integrity, take care of each other, foster inclusion, and collaborate for measurable impact. These five shared values lead every decision we make and action we take, guiding us to deliver impact how and where it matters most.

Connect to your opportunity

We are seeking to hire experienced AI Engineers within our AI Scaling and Transformation team, a centre of excellence in Deloitte’s Engineering, AI & Data service offering.

You will work alongside clients, third parties, and Deloitte teams across the Firm, supporting Security & Justice organisations to design, build, and scale AI and Generative AI solutions. This is a client-facing Manager role where you will combine hands-on engineering with ownership of delivery workstreams, stakeholder management, and translation of business needs into scalable technical solutions.

As an AI Engineer, you will play a key role in shaping and delivering AI solutions within complex environments. In this role, you may be expected to:

  • Own the delivery of AI engineering workstreams, ensuring solutions are designed, built, and delivered in line with client objectives, timelines, and quality expectations.
  • Work closely with client stakeholders to understand operational challenges and translate them into scalable AI and data-driven solution architectures.
  • Design, develop, and deploy AI and Generative AI solutions, including machine learning models, data pipelines, and application components that are secure, reliable, and performant.
  • Drive the operationalisation of AI solutions using modern engineering and MLOps practices, including CI/CD, model monitoring, testing, and lifecycle management.
  • Ensure solutions are developed in line with security, privacy, governance, and responsible AI requirements, particularly within highly regulated and secure environments.
  • Collaborate with architects, data scientists, engineers, and business analysts to integrate AI solutions into broader enterprise systems and delivery programmes.
  • Manage stakeholders and contribute to delivery leadership activities, including reporting progress, managing risks, and supporting junior team members.

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£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

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Connect to your skills and professional experience

We are looking for candidates who are able to demonstrate skills and experience in some of the following:

Education & Experience

  • Degree or equivalent experience in Computer Science, Artificial Intelligence, Data Engineering, Mathematics, or a related discipline.
  • Proven experience designing, building, and deploying AI or machine learning solutions in a consulting, public sector, or enterprise technology environment.
  • Experience owning technical deliverables or workstreams, managing priorities, and engaging effectively with both business and technical stakeholders.
  • Demonstrated ability to translate business requirements into technical solutions and deliver measurable outcomes.
  • Experience working within secure or regulated environments is advantageous; candidates must be eligible and willing to obtain or hold security clearance as required for client engagements.

Business & AI Proficiency

  • Strong proficiency in Python or similar programming languages used for AI and data engineering, with hands-on experience building production-grade solutions.
  • Experience with machine learning frameworks and tools (e.g., PyTorch, TensorFlow, scikit-learn) and practical implementation of model development and deployment.
  • Working knowledge of Generative AI, including large language models, prompt engineering, retrieval-augmented generation, and evaluation approaches.
  • Experience with MLOps and modern engineering practices, including CI/CD pipelines, model versioning, monitoring, and automated testing.
  • Experience deploying AI solutions on cloud platforms such as Azure, AWS, or GCP, using cloud-native services for scalability and resilience.
  • Strong stakeholder management, communication, and problem-solving skills, with the ability to explain technical concepts and influence both technical and non-technical audiences.

Connect to your business - Technology and Transformation

Distinctive thinking, deep expertise, innovation, and collaborative working. That’s what connects us. That’s what makes us Deloitte. If you want to help solve some of the biggest tech and transformational challenges around, join us. Together, we’ll make an impact that matters.

Engineering, AI, and Data

We lead transformation at the heart of our clients; re-engineering the core of our clients’ organisations, helping to unleash growth, and creating better futures for their customers, citizens, and employees.

Personal independence

Regulation and controls are standard practice in our industry, and Deloitte is no exception. These controls provide important legal protection for both you and the firm. We are subject to a number of audit regulations, one of which requires that certain colleagues abide by specific personal independence constraints (e.g., in relation to any financial interests and employment relationships). This can mean that you and your "Immediate Family Members" are not permitted to hold certain financial interests (shares, funds, bonds, etc.) with audit clients of the firm, and also prohibitions on certain employment relationships (e.g., you are not permitted to hold a secondary employment role with SEC audit clients of the firm whilst being employed by the firm). The recruitment team will provide further details as you progress through the recruitment process, or you can contact the Independence team upon request.

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Connect with your colleagues

"The great culture, flexibility, and range of experiences that Deloitte offers is what sets this firm apart. In Technology & Transformation, Deloitte is far ahead of any of our immediate competitors." - Sophia, Technology & Transformation

"What attracted me to Deloitte were the endless opportunities and the collective experience of other like-minded individuals. Deloitte’s clients include many of the world’s largest organisations; I wanted to be part of a team that made a difference that I could be proud of." - Dan, Technology & Transformation

Our hybrid working policy

You’ll be based in one of our UK offices with hybrid working.

At Deloitte, we understand the importance of balancing your career alongside your home life. That’s why we’ll support you to work flexibly through our hybrid working policy. Depending on the requirements of your role, you’ll have the opportunity to work in your local office, virtual collaboration spaces, client sites, and remotely. You’ll get the chance to meet face to face when needed, while you collaborate and learn from colleagues, share your experiences, and build the relationships that will fuel your career and prioritise your wellbeing. Please check with your recruiter for the specific working requirements that may apply for your role.

Our commitment to you

Making an impact is more than just what we do: it’s why we’re here. So we work hard to create an environment where you can experience a purpose you believe in, the freedom to be you, and the capacity to go further than ever before.

We want you. The true you. Your own strengths, perspective, and personality. So we’re nurturing a culture where everyone belongs, feels supported and heard, and is empowered to make a valuable, personal contribution. You can be sure we’ll take your wellbeing seriously, too. Because it’s only when you’re comfortable and at your best that you can make the kind of impact you, and we, live for.

Your expertise is our capability, so we’ll make sure it never stops growing. Whether it’s from the complex work you do, or the people you collaborate with, you’ll learn every day. Through world-class development, you’ll gain invaluable technical and personal skills. Whatever your level, you’ll learn how to lead.

Connect to your next step

A career at Deloitte is an opportunity to develop in any direction you choose. Join us, and you’ll experience a purpose you can believe in and an impact you can see. You’ll be free to bring your true self to work every day. And you’ll never stop growing, whatever your level.

Discover more reasons to connect with us, our people, and purpose-driven culture at deloitte.co.uk/careers

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Skills

Python
Generative AI
MLOps
PyTorch
TensorFlow
Scikit-learn
Azure
AWS
GCP
CI/CD
Stakeholder Management
Prompt Engineering
RAG
Data Engineering
Machine Learning
Solution Architecture

Location

Scotland, United Kingdom

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