Lead AI Platform Engineer (Contract) in Dunfermline

Lead AI Platform Engineer (Contract) in Dunfermline

Dunfermline Temporary 80000 - 100000 £ / year (est.) Home office (partial)
GlobalLogic

At a Glance

  • Tasks: Lead the design and engineering of an AI platform, ensuring performance and security.
  • Company: GlobalLogic, a leader in digital engineering and innovation.
  • Benefits: Inclusive culture, generous training budget, and hybrid working options.
  • Other info: Join a diverse team committed to fairness and personal growth.
  • Why this job: Make a real impact in AI governance and platform engineering.
  • Qualifications: Strong engineering skills, experience with cloud-based AI/ML ecosystems, and enthusiasm for scalable AI.

The predicted salary is between 80000 - 100000 £ per year.

We are GlobalLogic, a Hitachi Group Company and a leader in digital engineering. We help brands across the globe design and build innovative products, platforms, and digital experiences for the modern world. By integrating experience design, complex engineering, and data expertise, we help our clients imagine what’s possible and accelerate their transition into tomorrow’s digital businesses.

We are seeking to hire an experienced Contract Technical Lead / Lead AI Platform Engineer into our Engineering Practice. This is a 12 month assignment (inside IR35), to start 2-4 weeks. This is a hands-on, high impact role at the intersection of AI governance, distributed systems, observability, and platform engineering to lead technical delivery for an AI centralised platform - Control Tower.

We’re looking for a Technical Lead to drive the end-to-end build of this platform, shape its architecture, and partner with deep technical SMEs across the business to ensure AI systems operate with the highest levels of performance, security, and responsible oversight.

What We’re Looking For

  • Strong engineering foundations, with experience building scalable distributed systems or data platforms.
  • Fluency in Python, SQL, Java, and modern data processing frameworks.
  • Expertise in cloud-based AI/ML ecosystems, particularly AWS SageMaker (required).
  • Proven experience developing monitoring frameworks, observability pipelines, and dashboards.
  • Deep understanding of event-driven architectures and messaging systems (Kafka, Vert.x, or similar).
  • Knowledge of security engineering, IAM principles, encryption, and cloud security controls.
  • Experience with CI/CD, infrastructure-as-code, and automated testing for data/ML systems.
  • Exposure to MLOps, LLMOps, or model lifecycle management.
  • Aware of model risk and regulatory frameworks (e.g., SS1/23, NIST AI Risk Management Framework).
  • Understanding of operational resilience concepts and SRE practices (SLIs/SLOs).
  • Experience with data lineage or governance tooling (DataHub, Glue, Collibra).
  • Interest in Responsible AI, explainability, fairness/bias, and governance automation.

What You’ll Do

  • Lead the architecture, design, and engineering of the AI Control Tower - the core framework that enables AI observability, guardrails, performance monitoring, and lifecycle management.
  • Shape the technical roadmap in partnership with product leaders, ensuring delivery against ambitious milestones.
  • Establish engineering standards, patterns, and integration approaches used across a Robust, Resilient, and Secure AI Environment.
  • Develop scalable, high-throughput data pipelines and monitoring systems.
  • Ensure end-to-end observability across model development, deployment, and runtime, incorporating secure-by-design principles, strong IAM practices, and regulatory compliance into the platform architecture.
  • Drive Deep Technical Collaboration and partner with SMEs across data engineering, platform engineering, security, risk, and MLOps and Independent Model Monitoring (IMM).
  • Support governance of AI systems through transparent metrics, automated reporting, and integrated control mechanisms and bring thought leadership on Responsible AI, emerging standards, and new tooling.

We hire based on expertise, potential and enthusiasm to make a difference, then we give you the tools and skills you need to create impact. This role is based in our UK&I region - hybrid either London or Edinburgh.

Why work at GlobalLogic

Our goal is to build an inclusive, positive culture where everyone can feel comfortable being themselves, empowering our people to create their own high standards and therefore more value. We work together to promote fairness while recognising, valuing and embracing differences – providing a transparent support structure and generous training budget to help our people develop skills to progress their career. Our region also supports a hybrid model which can flex across a wide spectrum of working options determined by our business, customer and individual needs.

We are an equal opportunities employer. It is our policy to promote an environment free from discrimination, harassment and victimisation.

Lead AI Platform Engineer (Contract) in Dunfermline employer: GlobalLogic

At GlobalLogic, we pride ourselves on fostering an inclusive and positive work culture that empowers our employees to thrive. With a strong commitment to professional development, we offer generous training budgets and flexible hybrid working options in vibrant locations like London and Edinburgh, ensuring that our team members can balance their personal and professional lives while contributing to innovative projects at the forefront of digital engineering.

GlobalLogic

Contact Details:

GlobalLogic Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead AI Platform Engineer (Contract) in Dunfermline

Tip Number 1

Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. You never know who might have the inside scoop on job openings or can refer you directly.

Tip Number 2

Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI and platform engineering. This gives potential employers a taste of what you can do beyond your CV.

Tip Number 3

Prepare for interviews by brushing up on technical questions and scenarios relevant to the role. Practice explaining complex concepts in simple terms, as communication is key in a lead position.

Tip Number 4

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 GlobalLogic and being part of our innovative team.

We think you need these skills to ace Lead AI Platform Engineer (Contract) in Dunfermline

Python
SQL
Java
AWS SageMaker
Distributed Systems
Data Platforms
Monitoring Frameworks

Some tips for your application 🫡

Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your expertise in AI governance, distributed systems, and any relevant cloud technologies like AWS SageMaker.

Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and platform engineering. Share specific examples of your past projects that demonstrate your ability to lead technical delivery and drive innovation.

Showcase Your Technical Skills:Don’t just list your skills; provide context! Mention how you've used Python, SQL, or Java in real-world applications, especially in building scalable data platforms or observability pipelines.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity with GlobalLogic!

How to prepare for a job interview at GlobalLogic

Know Your Tech Inside Out

Make sure you brush up on your knowledge of Python, SQL, Java, and the cloud-based AI/ML ecosystems, especially AWS SageMaker. Be ready to discuss your experience with distributed systems and data platforms, as well as any monitoring frameworks you've developed.

Showcase Your Leadership Skills

As a Lead AI Platform Engineer, you'll need to demonstrate your ability to lead technical delivery. Prepare examples of how you've shaped architecture and partnered with SMEs in previous roles. Highlight your experience in establishing engineering standards and driving collaboration across teams.

Understand the Bigger Picture

Familiarise yourself with AI governance, operational resilience concepts, and regulatory frameworks like SS1/23 and NIST AI Risk Management Framework. Being able to discuss these topics will show that you understand the importance of responsible AI and can contribute to the company's mission.

Prepare Questions That Matter

Think about what you want to know regarding the role and the company culture. Ask about their approach to AI observability and how they ensure security and compliance in their systems. This shows your genuine interest and helps you assess if the company is the right fit for you.