At a Glance
- Tasks: Lead the design and engineering of an innovative AI platform, ensuring performance and security.
- Company: Join a forward-thinking tech company focused on responsible AI and cutting-edge solutions.
- Benefits: Enjoy competitive pay, health perks, volunteering days, and personal development opportunities.
- Other info: Dynamic work environment with great social events and a focus on well-being.
- Why this job: Make a real impact in AI governance while collaborating with top technical experts.
- Qualifications: Strong engineering skills, experience with cloud-based AI, and a passion for scalable systems.
The predicted salary is between 60000 - 80000 £ per year.
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.
Company Benefits
- Competitive pension scheme to help later on in life and private medical insurance & a Health Cash Plan to call upon when needed.
- Annual Volunteering Days to work with a charity of your choice as we appreciate you may wish to give something back to the community.
- Reward & Recognition - Reward Gateway access to acknowledge when you're doing a great job.
- Holidays - Not just 25 days plus public holidays, you can also buy up to an extra five days to make sure you address that much needed work-life balance.
- Family First - Enhanced family friendly policies and access to on-line shopping discounts platform as we appreciate the other roles you may have in life.
- Health and Wellbeing - From free massages and annual health checks to subsidised gym membership and cycle to work schemes. Frequent Mental Health awareness days and access to a 24/7 EAP, as your welfare is important to us.
- Personal Development - Your personal development is key to us and we make sure you get time to invest in your own personal learning and career progression supported by our generous training budget.
- The Extras - Great coffee, fruit and snacks with beer and wine in the fridge and unforgettable social events, BBQ's and Christmas parties.
AI Platform Engineer employer: GlobalLogic
At GlobalLogic, we pride ourselves on being an exceptional employer that fosters a culture of inclusivity and empowerment. Our commitment to employee growth is reflected in our generous training budget and comprehensive health and wellness plans, ensuring that our team members can thrive both personally and professionally. With a flexible hybrid working model and a vibrant social scene, including events and volunteering opportunities, we create an environment where everyone can contribute to meaningful projects while enjoying a balanced work-life experience.