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- Tasks: Design and build AI services for public-sector projects using Python and modern frameworks.
- Company: Join a forward-thinking organisation focused on impactful AI solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a difference by integrating AI into real-world applications and workflows.
- Qualifications: Strong Python skills and experience with AI APIs and production environments.
- Other info: Collaborative team environment with a focus on innovation and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
As 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 (text, documents, images) into digital services and APIs
- Embed AI capabilities directly into products and services (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
- Collaborate closely with product managers, designers, data professionals, and software engineers
- Contribute to documentation, code reviews, and shared AI tooling and standards
Required skills & experience:
- 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
Desirable Experience:
- 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
AI Engineer in London employer: eSynergy Solutions
Contact Detail:
eSynergy Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI field, especially those working in public sector roles. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those using Python and modern frameworks. Share it on platforms like GitHub or even your own website. This gives potential employers a taste of what you can do before they even meet you.
✨Tip Number 3
Prepare for interviews by brushing up on common AI scenarios and challenges. Think about how you’d optimise AI systems for reliability and cost-effectiveness. Practise explaining your thought process clearly, as communication is key when working with multidisciplinary teams.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented AI Engineers. Keep an eye on our job listings and make sure your application stands out by tailoring it to the specific role and highlighting your relevant experience.
We think you need these skills to ace AI Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and AI frameworks. We want to see how you've built production-ready services, so don’t hold back on those details!
Showcase Your Projects: Include any relevant projects where you've integrated AI capabilities into workflows or APIs. We love seeing real-world applications of your skills, especially in public sector contexts.
Be Clear and Concise: When writing your cover letter, keep it straightforward. We appreciate clarity, so explain how your experience aligns with our needs without fluff. Get to the point!
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. We can’t wait to see what you bring to the table!
How to prepare for a job interview at eSynergy Solutions
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI frameworks and Python. Be ready to discuss how you've used these in past projects, especially in public-sector contexts. They’ll want to see that you can not only talk the talk but also walk the walk when it comes to building production-ready AI services.
✨Showcase Your Collaboration Skills
Since this role involves working closely with product managers, designers, and other engineers, be prepared to share examples of how you've successfully collaborated in multidisciplinary teams. Highlight any experiences where your communication skills made a difference in project outcomes.
✨Demonstrate Problem-Solving Abilities
Expect questions about how you would handle operational failures or biases in AI systems. Think of specific scenarios from your past work where you identified issues and implemented solutions. This will show them you’re proactive and capable of optimising AI systems effectively.
✨Familiarise Yourself with Compliance
Given the focus on regulated environments, it’s crucial to understand AI governance and compliance requirements. Brush up on relevant regulations and be ready to discuss how you’ve navigated these in previous roles, especially if you have experience in public sector or healthcare settings.
