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- Tasks: Develop and optimise AI deployment infrastructure for scalable, production-grade systems.
- Company: Leading tech organisation focused on innovative AI solutions.
- Benefits: Competitive salary, generous leave, pension scheme, and private medical insurance.
- Other info: Fully remote role with occasional travel to London for collaboration.
- Why this job: Join a forward-thinking team and shape the future of AI technology.
- Qualifications: 3-5 years in software or data engineering with strong Python and SQL skills.
The predicted salary is between 100000 - 125000 £ per year.
A leading technology-focused organisation is seeking an experienced AI Deployment Engineer to join its growing AI and data function. This is a highly technical, hands-on role forming the backbone of the company’s AI deployment capability, responsible for taking AI-driven solutions from prototype through to fully scalable, production-grade systems.
Working closely with AI Strategists and product stakeholders, the AI Deployment Engineer will own the underlying infrastructure that enables AI systems to operate reliably across the business. The role is predominantly remote, with occasional on-site collaboration days in London.
Key Responsibilities:- Own and develop the data and integration infrastructure supporting AI deployments, including pipelines, storage and data delivery layers.
- Design and implement robust integrations between AI solutions and core business systems (CRM, ERP, SaaS platforms and internal tools).
- Build and maintain APIs, webhooks and middleware to enable seamless system-to-system communication.
- Take AI prototypes into production by hardening, scaling and optimising for reliability and performance.
- Implement monitoring, logging and alerting across all deployed pipelines and AI services.
- Manage data structures, schemas and transformation logic supporting ongoing and future AI initiatives.
- Troubleshoot and resolve production issues, including integration failures and data inconsistencies.
- 3–5+ years’ experience in software engineering, data engineering, or similar infrastructure-focused roles.
- Strong programming ability in Python and SQL, with experience building production-grade data pipelines.
- Solid understanding of integration patterns including REST APIs, webhooks, OAuth and event-driven architectures.
- Experience with orchestration tools such as Airflow, Prefect or Dagster.
- Familiarity with cloud environments (AWS, GCP or Azure).
- Experience with containerisation tools such as Docker and Kubernetes.
- Proven experience integrating multiple business systems and ensuring reliable data flow between platforms.
- Strong troubleshooting skills with a focus on system reliability and data integrity.
- Experience working with Microsoft 365 and exposure to AI productivity tooling is advantageous.
- Vector databases and embedding-based pipelines.
- Real-time data streaming technologies (e.g. Kafka, Flink).
- RPA tools such as UiPath or Power Automate.
- Data transformation tools such as dbt.
- Exposure to modern AI tooling and frameworks (e.g. Claude-based developer tools).
- Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
- 25 days annual leave, rising to 28 with service.
- Holiday buy/sell scheme with ability to carry over up to 10 days annually.
- Pension scheme matched up to 5% (with salary sacrifice option available).
- Life assurance up to 9x annual salary.
- Income protection covering up to 75% of salary.
- Private medical insurance (including family cover option).
This is a senior technical role within a forward-thinking AI team, offering the opportunity to shape and scale production AI systems within a complex enterprise environment. The position is fully remote with occasional travel to London for collaboration sessions. The organisation encourages innovation, ownership, and technical excellence, making it ideal for an engineer who enjoys solving complex infrastructure and integration challenges at scale.
AI Deployment Engineer in London employer: Artis Recruitment
Contact Detail:
Artis Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Deployment Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at tech meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving Python and SQL. 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 technical questions related to AI deployment and integration patterns. Practise explaining your past projects and how you tackled challenges—this will help you shine during the interview.
✨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 Deployment Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Deployment Engineer role. Highlight your experience with Python, SQL, and any relevant cloud environments. We want to see how your skills match 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 deployment and how your past experiences make you a great fit for our team. Keep it engaging and personal!
Showcase Your Projects: If you've worked on any relevant projects, whether in a professional or personal capacity, be sure to mention them. We love seeing real-world applications of your skills, especially those involving data pipelines and integrations.
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 the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Artis Recruitment
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, SQL, and cloud environments like AWS or Azure. Brush up on your knowledge of REST APIs and integration patterns, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've troubleshot production issues or optimised data pipelines. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting how your actions led to successful outcomes.
✨Understand the Company’s AI Vision
Research the organisation’s approach to AI and their current projects. Being able to articulate how your skills align with their goals will demonstrate your genuine interest and help you stand out as a candidate who can contribute meaningfully.
✨Prepare Questions for Them
Have a list of insightful questions ready to ask at the end of the interview. Inquire about their AI deployment strategies, team dynamics, or future projects. This shows that you’re not just interested in the role, but also in how you can fit into their vision.