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- Tasks: Develop and enhance AI capabilities for a cutting-edge transcription platform.
- Company: Join Scrumconnect Consulting, a multi-award-winning digital consultancy making a real impact.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Be part of a team transforming judicial processes with innovative AI solutions.
- Qualifications: Experience in AI applications, speech-to-text, and CI/CD practices required.
- Other info: Dynamic environment focused on collaboration and continuous improvement.
The predicted salary is between 48000 - 72000 £ per year.
London, United Kingdom | Posted on 16/03/2026
About Scrumconnect Consulting: Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. With a strong commitment to user-centred design and agile delivery, we aim to deliver innovative digital services that matter.
Overview: Judicial Transcribe is an AI-enabled platform designed to deliver automated transcription and AI-assisted processing of judicial audio recordings. The service is already deployed at scale and is now entering the next phase of operational maturity. The current focus is to stabilise the live service, strengthen engineering resilience, and extend capabilities including transcription from uploaded audio files, anonymisation/redaction, and AI-driven summarisation. The programme also acts as a testbed for evolving AI engineering practices, helping to establish reusable patterns for future AI-enabled products and services.
Role Focus: The AI Engineer will focus on AI capability development and production maturity, helping to improve reliability, scalability, and engineering practices across the service. You will work closely with engineers, product teams, and delivery leads to expand core functionality while ensuring robust, secure, and well-governed AI workflows.
Key Responsibilities:
- AI Service Development: Support and enhance the live Transcribe service, focusing on AI components. Design and implement transcription workflows for uploaded audio files. Develop anonymisation and redaction capabilities aligned with publication requirements.
- AI Integration & Capabilities: Support the transcript summarisation proof of value (PoV). Enable reuse of existing summarisation capabilities through API-based integration. Work with internal API platforms to expose and consume AI capabilities. Integrate evaluation mechanisms and Responsible AI controls into AI features. Contribute to the safe and structured use of AI coding assistants within the development lifecycle.
- DevSecOps & Operational Maturity: Improve AI-specific CI/CD practices, testing frameworks, and deployment processes. Enhance observability, monitoring, and production readiness for AI services. Support improvements in system resilience and operational stability. Reduce single-point-of-failure risks by documenting systems and sharing knowledge. Contribute to engineering standards, documentation, and operational playbooks.
Expected Outcomes: During the six-month engagement, the team aims to deliver: Stable and sustainable live support capability for the Transcribe platform. Delivery of audio file transcription capability. Delivery or controlled rollout of anonymisation/redaction features. Clear integration pathway for transcript summarisation services via API. Improved deployment confidence and release cadence. Reduced dependency on individual engineers through improved documentation and shared knowledge. Strengthened AI engineering practices and operational maturity across the service.
Required Skills & Experience:
- Strong experience building AI-enabled applications in production environments.
- Experience with speech-to-text / transcription pipelines or similar AI workloads.
- Hands-on experience with LLMs, prompt engineering, and evaluation workflows.
- Experience designing AI pipelines and data processing workflows.
- Experience with CI/CD pipelines and DevSecOps practices.
- Knowledge of API integration and microservice architectures.
- Experience implementing observability and monitoring for AI systems.
AI Engineer employer: Scrumconnect Limited
Contact Detail:
Scrumconnect Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. 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 showcasing your AI projects, especially those related to transcription or speech-to-text. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and scenarios. Practice explaining your past projects and how they relate to the role at Scrumconnect Consulting. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Engineer role. Highlight your experience with AI-enabled applications, transcription pipelines, and any relevant projects you've worked on. 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 engineering and how you can contribute to our mission at Scrumconnect Consulting. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on any cool AI projects, make sure to mention them! Whether it's a personal project or something from a previous job, we want to see your hands-on experience. Include links if possible – we love to check out your work!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about who we are and what we do!
How to prepare for a job interview at Scrumconnect Limited
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI-enabled applications, especially in production environments. Be ready to discuss your experience with speech-to-text and transcription pipelines, as well as any hands-on work you've done with LLMs and prompt engineering.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in AI development. Think about times when you improved CI/CD practices or enhanced system resilience. This will demonstrate your ability to contribute to the operational maturity of the Transcribe platform.
✨Understand the Company’s Mission
Familiarise yourself with Scrumconnect Consulting's focus on user-centred design and agile delivery. Be ready to explain how your skills align with their mission to deliver impactful technology solutions that benefit UK citizens.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the team’s current projects. Inquire about their approach to integrating Responsible AI controls or how they plan to enhance observability for AI services. This shows your genuine interest and helps you assess if the company is the right fit for you.