At a Glance
- Tasks: Develop and enhance AI capabilities for a cutting-edge transcription platform.
- Company: Join an award-winning digital consultancy making a real impact in the UK.
- Benefits: Competitive pay, flexible working, and opportunities for professional growth.
- Other info: Collaborative team environment with a focus on knowledge sharing and engineering resilience.
- Why this job: Be part of innovative projects that improve lives and shape the future of AI.
- Qualifications: Experience in AI applications, speech-to-text, and DevOps practices required.
The predicted salary is between 60000 - 80000 € per year.
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.
Job Description
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. To support this phase, the team is seeking two experienced AI Engineers for an initial six‑month engagement.
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.
- AI Engineering Practices
- Strengthen AI pipeline patterns including: Extract → Chunk → Prompt → Evaluate workflows.
- 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.
- Knowledge Sharing & Engineering Resilience
- 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
- 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
- Core Technical Skills
- 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.
- Engineering & DevOps
- 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 Consulting
Scrumconnect Consulting is an exceptional employer, offering AI Engineers the opportunity to work on impactful projects that enhance the lives of millions across the UK. With a strong focus on user-centred design and agile methodologies, employees benefit from a collaborative work culture that fosters innovation and professional growth. The company prioritises employee development through knowledge sharing and robust engineering practices, making it an ideal place for those seeking meaningful and rewarding careers in AI technology.
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 your technical knowledge and problem-solving skills. Practice common AI engineering questions and be ready to discuss your past experiences in detail. 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 by the right people. 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 engaging and relevant to the job description.
Showcase Your Technical Skills:Don’t forget to showcase your technical skills in your application. Mention your hands-on experience with LLMs, CI/CD practices, and any specific tools or technologies you've used. We love seeing candidates who are technically savvy!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Scrumconnect Consulting
✨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 reliability or scalability in a project, and be ready to explain your thought process and the impact of your solutions.
✨Familiarise Yourself with Agile Practices
Since Scrumconnect Consulting values agile delivery, it’s crucial to demonstrate your understanding of agile methodologies. Be prepared to discuss how you've worked in cross-functional teams and contributed to iterative development processes.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the Transcribe platform and its future developments. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals.
