At a Glance
- Tasks: Lead the design and engineering of an innovative AI platform, ensuring observability and compliance.
- Company: Join a forward-thinking tech company focused on AI governance and platform engineering.
- Benefits: Competitive contract pay, flexible hybrid work options, and opportunities for professional growth.
- Other info: Work in a dynamic environment with a commitment to diversity and inclusion.
- Why this job: Make a significant impact in AI while collaborating with experts across various fields.
- Qualifications: Strong background in scalable systems, Python, SQL, and cloud-based AI ecosystems required.
The predicted salary is between 60000 - 80000 £ per year.
We are seeking to hire an experienced Technical Lead for a 12‑month contract assignment (inside IR35), commencing in 2‑4 weeks. This hands‑on, high‑impact role sits at the intersection of AI governance, distributed systems, observability, and platform engineering to lead the technical delivery of an AI centralized platform – the Control Tower.
Responsibilities
- 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, embedding secure‑by‑design principles, strong IAM practices, and regulatory compliance into the platform architecture.
- Guarantee that 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, MLOps, and independent model monitoring.
- 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 technologies.
Qualifications
- 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 such as Kafka or Vert.x.
- 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 such as DataHub, Glue, or Collibra.
- Interest in Responsible AI, explainability, fairness/bias, and governance automation.
Location and Work Arrangement
This role is based in the UK&I region and is hybrid, offering either London or Edinburgh office options.
Equal Opportunity Statement
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) employer: GlobalLogic Inc.
As a Lead AI Platform Engineer with us, you'll join a forward-thinking company that prioritises innovation and collaboration in the rapidly evolving field of AI. Our hybrid work model allows you to thrive in either our London or Edinburgh office, fostering a culture of inclusivity and professional growth, while offering competitive benefits and opportunities to shape the future of AI governance and platform engineering. We are committed to your development, providing resources and support for continuous learning and career advancement in a dynamic environment.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Platform Engineer (Contract)
✨Get Involved in Open-Source Projects
Diving into open-source projects is a brilliant way to showcase your skills and connect with other developers in the community. Not only will you beef up your GitHub profile but you might also catch the eye of someone at GlobalLogic Inc. who values hands-on experience over just theory.
✨Attend Local Tech Meetups
Tech meetups are gold mines for networking and discovering job opportunities, especially in the fast-paced world of software engineering. Check out local listings for events in your area and don’t shy away from introducing yourself. This could lead directly to a temporary position at GlobalLogic Inc.!
✨Showcase Your Work Online
With temporary roles, it’s all about standing out in a short space of time. Create a portfolio website where you highlight your projects and skills. Talk about your code, and provide links to your GitHub repositories. This will not only demonstrate your abilities but will also make it easier for recruiters at GlobalLogic Inc. to see what you bring to the table.
✨Leverage Temporary Job Boards
Don’t forget to check specialised job boards for temporary software development roles. Websites like We Work Remotely or Remote OK often list short-term gigs that can be a perfect fit. Apply directly through our website as well, making sure your application is sharp—temporary roles can move fast!
We think you need these skills to ace Lead AI Platform Engineer (Contract)
Some tips for your application 🫡
Show Off Your Tech Skills:Make sure your CV highlights your tech stack and any programming languages you’re proficient in. Include specifics about any frameworks or technologies you’ve worked with; they can make you stand out in the sea of applicants. It’s all about showing that you have the chops we need at GlobalLogic Inc.!
Portfolio 2.0:Since you’re applying for a temporary gig, it’s super important to showcase a portfolio that highlights your best projects. Include links to GitHub or any personal projects that demonstrate what you can do in a real-world environment. This gives us a taste of your style and your problem-solving approach!
Keep It Brief and Relevant:With a temporary position, we want to see your ability to hit the ground running. Be concise in your CV and cover letter; stick to experiences that directly relate to the role. Highlight any previous temporary roles or freelance gigs that show your adaptability and quick learning!
Tailor Your Cover Letter:Don’t just send a generic cover letter. Personalise it for Lead AI Platform Engineer (Contract) at GlobalLogic Inc.! Mention why this temporary role excites you and how you see yourself contributing in the short run. Show us what you've got and why you're the one for this quick turn-around!
How to prepare for a job interview at GlobalLogic Inc.
✨Nail the Technical Skills
For a software engineering role, you'll likely face technical questions or coding tasks during your interview. Brush up on the relevant programming languages and frameworks that GlobalLogic Inc. uses, and don’t forget to practice some coding challenges on platforms like LeetCode or HackerRank. Showing your coding prowess can really make you stand out!
✨Prepare for System Design Questions
Even for a temporary role, having a grasp of system design principles can be crucial. Be ready to discuss how you would architect a software solution, including discussing trade-offs, scalability, and performance considerations. Having examples from previous projects can really show off your analytical thinking.
✨Demonstrate Your Adaptability
Since this is a temporary role, you'll want to emphasise your ability to hit the ground running. Highlight experiences where you quickly adapted to new technologies or teams. Let’s make it clear to the interviewers at GlobalLogic Inc. that you can learn on the job and deliver results in a short timeframe!
✨Show Off Your Portfolio
Make sure to have a portfolio or GitHub ready showcasing your projects. Having tangible evidence of what you've done—be it personal projects, contributions to open-source, or previous work—can convey how capable you are. Tailor this for what might interest GlobalLogic Inc., so it's relevant and sparks conversation during your interview.