At a Glance
- Tasks: Design and build core components for a cutting-edge AI platform.
- Company: GlobalLogic, a leader in digital engineering with a focus on innovation.
- Benefits: Competitive pay, hybrid work model, and opportunities for professional growth.
- Other info: Collaborative environment with a commitment to diversity and inclusion.
- Why this job: Join a dynamic team and shape the future of AI governance and observability.
- Qualifications: Experience in Python, SQL, Java, and cloud-based AI ecosystems required.
The predicted salary is between 60000 - 80000 £ per year.
We are GlobalLogic, an international digital engineering leader. We are hiring an experienced Contract Software Engineer / AI Platform Software Engineer for a 12‑month assignment (inside IR35) beginning in 2‑4 weeks. The role focuses on AI governance, distributed systems, observability, and platform engineering for the AI Control Tower.
As a Software Engineer on the AI Control Tower team, you will design, build, and maintain core components of a centralized AI platform. Your work will span data pipelines, APIs, observability, monitoring, security, and governance, ensuring safety, transparency, and reliability from model training through production.
Responsibilities:
- Develop and enhance platform capabilities, including data pipelines, APIs, and services that power the AI Control Tower.
- Implement AI observability, guardrails, performance monitoring, and lifecycle controls.
- Integrate with model registries, feature stores, lineage tools, and governance systems.
- Write clean, well‑tested, scalable code in Python, Java, SQL, and modern data/stream processing frameworks.
- Build high‑throughput pipelines to capture metrics on model performance, operational health, and security posture.
- Implement logging, metrics, tracing, and event‑driven observability tooling with secure‑by‑design principles, strong IAM practices, and cloud security controls.
- Collaborate closely with data engineering, platform engineering, security, MLOps, and monitoring teams.
- Contribute to integration efforts with AWS SageMaker, model pipelines, and enterprise data technologies such as Kafka, OpenTelemetry, and cloud‑native monitoring stacks.
- Support governance and reporting workflows with automated checks, standardized metrics, and platform tooling.
- Contribute to reusable components, shared libraries, and new technologies around Responsible AI, observability, and runtime monitoring.
- Support continuous improvement of CI/CD, infrastructure‑as‑code, and testing practices.
Qualifications:
- Hands‑on engineer with strong engineering foundations and experience building scalable distributed systems or data platforms.
- Proficiency in Python, SQL, Java, and modern data processing frameworks.
- Experience working with cloud‑based AI/ML ecosystems, particularly AWS SageMaker (required).
- Understanding of monitoring frameworks, observability pipelines, and dashboards.
- Familiarity with event‑driven architectures and messaging systems.
- Knowledge of security engineering, IAM principles, encryption, and cloud security controls.
- Awareness of model risk and regulatory frameworks.
- 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.
- Experience with CI/CD, infrastructure‑as‑code, and automated testing for data/ML systems.
Location: Hybrid in the UK (London or Edinburgh).
Equal Opportunity: We are an equal opportunities employer. It is our policy to promote an environment free from discrimination, harassment, and victimisation.
Senior Software Engineer (Contract) in London employer: GlobalLogic Inc.
At GlobalLogic, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our hybrid work model in vibrant locations like London and Edinburgh provides flexibility while ensuring our employees have access to cutting-edge projects in AI governance and platform engineering. With a strong focus on professional development and a commitment to diversity and inclusion, we empower our team members to grow their skills and contribute meaningfully to the future of technology.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software Engineer (Contract) in London
✨Get Involved in Open-Source Projects
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We think you need these skills to ace Senior Software Engineer (Contract) in London
Some tips for your application 🫡
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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!
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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!
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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.