At a Glance
- Tasks: Design and build AI systems that enhance public services and decision-making.
- Company: Join esynergy, a tech consultancy focused on impactful solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on ethics and governance.
- Why this job: Make a real difference by integrating cutting-edge AI into critical public services.
- Qualifications: Strong Python skills and experience with AI models in production.
The predicted salary is between 28800 - 48000 £ per year.
Are you an AI engineer who loves taking models out of the lab and putting them into real, high-impact production systems? Do you want to build secure, responsible AI solutions that genuinely improve public services and decision-making? Are you excited by integrating cutting-edge AI into complex platforms—while working in environments that value ethics, governance, and quality?
We are seeking an AI Engineer to design, build, and operate AI-powered systems that support the delivery of critical public services. You will work within multidisciplinary teams to implement reliable, secure, and governable AI capabilities within government digital services. The role focuses on applying modern AI models and platforms to real-world use cases, improving decision-making, automating workflows, and enhancing user experience across public-sector systems. This role is suited to an engineer who enjoys shipping AI into production, integrating AI into existing services, and working within strong ethical, security, and governance constraints.
Key ResponsibilitiesAs an AI Engineer, you will:
- Design and build AI-enabled services and workflows for public-sector use cases
- Develop production-ready AI services using Python and modern AI frameworks and APIs
- Build and operate AI-powered agents and automation, with appropriate controls, monitoring, and human oversight
- Integrate language and multimodal models (e.g. text, documents, images) into digital services and APIs
- Embed AI capabilities directly into products and services (e.g. decision support, case handling, internal tools), rather than standalone chatbots
- Build and maintain data flows required for AI inference, evaluation, and monitoring
- Optimise AI systems for reliability, latency, and cost-effective inference
- Monitor live AI systems for quality, drift, bias, and operational failure modes
- Apply responsible AI principles, including explainability, auditability, and governance standards
- Collaborate closely with product managers, designers, data professionals, and software engineers
- Contribute to documentation, code reviews, and shared AI tooling and standards
You will bring:
- Strong experience using Python to build production services and AI-enabled applications
- Hands-on experience integrating large language models and AI APIs into real systems
- Experience deploying and operating AI services in production environments
- Understanding of AI operations (monitoring, evaluation, versioning, and rollback)
- Experience integrating AI capabilities into APIs, workflows, and digital platforms
- Familiarity with cloud platforms (AWS, Azure, or GCP) and managed AI services
- Solid engineering fundamentals (testing, CI/CD, observability, security)
- Experience working in regulated, secure, or high-compliance environments
- Strong communication skills and comfort working in multidisciplinary teams
Ideally, you’ll also have:
- Experience in public sector, healthcare, defence, or government environments
- Experience building agent-based systems, orchestration, or workflow automation
- Knowledge of AI governance, assurance, and audit requirements
- Experience with explainability, evaluation, and bias monitoring for AI systems
- Familiarity with open-source AI tooling and modern inference frameworks
- Experience contributing to shared platforms or internal AI enablement teams
About us: esynergy is a technology consultancy and we build products, platforms and services to accelerate value for our clients. We drive measurable impact that is tightly aligned to our clients’ business objectives. Put in practice that means high transparency, metric-driven reporting, and incremental handovers and a consistent focus on building our clients’ capability. Our delivery teams are small and highly functional, formed by a vetted ecosystem of associates, luminaries and partners. We choose technologies that are the right fit for our clients’ needs and are not opinionated around specific tech stacks and service offerings.
AI Engineer employer: Synergy Solutions Limited
At esynergy, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As an AI Engineer, you will have the opportunity to work on impactful projects that enhance public services while benefiting from a supportive environment that prioritises ethics and governance. With a focus on employee growth and development, we offer unique opportunities to engage with cutting-edge technologies and multidisciplinary teams, ensuring your contributions lead to meaningful advancements in the public sector.
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 AI field, attend meetups, and connect with professionals 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 that demonstrate your ability to integrate models into real-world applications. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and scenarios. Practice explaining your thought process and how you tackle challenges, especially in ethical and governance contexts.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented AI engineers who are ready to make an impact. Your next big opportunity could be just a click away!
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI shine through! We want to see how excited you are about taking models from the lab to real-world applications, especially in public services.
Tailor Your Experience:Make sure to highlight your experience with Python and any AI frameworks you've used. We’re looking for specific examples of how you've integrated AI into production systems, so don’t hold back on the details!
Emphasise Ethics and Governance:Since we value responsible AI, mention any experience you have with ethical considerations, governance, or compliance in your projects. This will show us that you understand the importance of these aspects in AI development.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting role. Don’t miss out!
How to prepare for a job interview at Synergy Solutions Limited
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI models and frameworks, especially those relevant to the public sector. Be ready to discuss how you've taken models from the lab to production, and have examples of your work with Python and AI APIs at hand.
✨Showcase Your Collaboration Skills
Since this role involves working in multidisciplinary teams, be prepared to talk about your experience collaborating with product managers, designers, and other engineers. Share specific examples of how you’ve contributed to team projects and navigated challenges together.
✨Emphasise Ethics and Governance
Given the focus on responsible AI, it’s crucial to demonstrate your understanding of ethical considerations in AI. Be ready to discuss how you’ve implemented governance standards and ensured compliance in your previous roles.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving skills and understanding of AI operations. Practice explaining concepts like monitoring, evaluation, and versioning of AI systems, as well as how you optimise for reliability and cost-effectiveness.
