At a Glance
- Tasks: Lead the design and engineering of an innovative AI platform while 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, personal development opportunities, and a fun work environment.
- Other info: Dynamic workplace with great social events and a focus on mental health and well-being.
- Why this job: Make a real impact in AI governance and collaborate with top technical experts.
- Qualifications: Strong engineering skills, experience with cloud AI ecosystems, and a passion for scalable solutions.
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.
In addition
- Exposure to MLOps, LLMOps, or model lifecycle management.
- Awareness 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
Join a forward-thinking company that prioritises innovation and employee well-being, offering a dynamic work culture where your contributions as an AI Platform Engineer will directly impact the development of cutting-edge AI solutions. With a strong focus on personal development, competitive benefits including a generous pension scheme, private medical insurance, and ample opportunities for community engagement, this role not only promises professional growth but also a supportive environment that values work-life balance and employee welfare. Located in a vibrant area, you'll enjoy a collaborative atmosphere with access to exciting social events and wellness initiatives.
StudySmarter Expert Advice🤫
We think this is how you could land AI Platform Engineer
✨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 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!
✨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 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 AI Platform Engineer
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!
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 AI Platform Engineer at GlobalLogic! 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
✨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 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 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, so it's relevant and sparks conversation during your interview.
