At a Glance
- Tasks: Lead the design and engineering of an innovative AI platform, ensuring performance and security.
- Company: GlobalLogic, a leader in digital engineering and part of the Hitachi Group.
- Benefits: Inclusive culture, generous training budget, and flexible 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 while shaping the future of technology.
- Qualifications: Strong engineering background with experience in scalable systems and cloud-based AI ecosystems.
The predicted salary is between 70000 - 90000 £ 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.
At GlobalLogic, we have a strong track record of successfully delivering ground-breaking Cloud, Data & Digital Transformation programmes and we have an international reach working with a wide variety of projects and customers. Our approach enables companies to “build the exceptional” and be fit for purpose in the 21st century.
We are seeking to hire an experienced Contract Technical Lead / Lead AI Platform Engineer (Contract) 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 platform.
- Build 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 the platform.
- Engineer 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 operations.
- Embed secure-by-design principles, strong IAM practices, and regulatory compliance into the platform architecture.
- Ensure all AI systems are observable, monitored, and measurable from model training through to production.
- 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 Slough employer: GlobalLogic
At GlobalLogic, we pride ourselves on fostering an inclusive and dynamic work culture that empowers our employees to excel. With a strong commitment to professional development, we offer generous training budgets and a flexible hybrid working model in vibrant locations like London and Edinburgh, ensuring that our team members can thrive both personally and professionally. Join us to be part of a forward-thinking company that values innovation, collaboration, and responsible AI practices.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Platform Engineer (Contract) in Slough
✨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 tangible look at what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios relevant to the role. Practice explaining your thought process clearly, as communication is key in technical roles.
✨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 team at GlobalLogic.
We think you need these skills to ace Lead AI Platform Engineer (Contract) in Slough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Lead AI Platform Engineer role. Highlight your experience with scalable distributed systems and cloud-based AI/ML ecosystems, especially AWS SageMaker. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI governance and platform engineering. Share specific examples of your past projects that demonstrate your expertise and enthusiasm for safe and scalable AI.
Showcase Your Technical Skills:Don’t hold back on showcasing your technical skills in Python, SQL, and Java. Mention any experience you have with CI/CD, infrastructure-as-code, and automated testing for data/ML systems. We love seeing candidates who can hit the ground running!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
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 cloud-based AI/ML ecosystems like 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 Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in previous projects. Highlight your experience with event-driven architectures and messaging systems, and be ready to explain how you ensure performance, security, and compliance in your work.
✨Understand the Bigger Picture
Familiarise yourself with the concepts of Responsible AI, model risk, and regulatory frameworks. Be prepared to discuss how these elements influence your approach to building scalable and secure AI platforms.
✨Engage with the Interviewers
Don’t hesitate to ask questions about the company’s vision for the AI Control Tower platform. Show your enthusiasm for collaboration by discussing how you would partner with SMEs across various teams to drive technical delivery and innovation.