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- Tasks: Design and develop AI solutions using Azure technologies to drive innovation.
- Company: Join SThree, a global leader in STEM workforce consultancy.
- Benefits: Enjoy hybrid working, competitive bonuses, and generous holiday allowances.
- Why this job: Make a real impact with cutting-edge AI technologies in a supportive team.
- Qualifications: Strong programming skills and experience with Azure AI solutions required.
- Other info: Be part of a dynamic environment with opportunities for personal growth.
The predicted salary is between 28800 - 48000 £ per year.
Hybrid | Glasgow or London (1–2 days a week in the office)
Are you passionate about building real‑world AI solutions using the latest Azure technologies? Want to work with Azure OpenAI, Cognitive Services, and Azure ML to deliver high‑impact transformation projects? This is a chance to join a relaxed, high‑performing team creating meaningful change across SThree. We are looking for an AI Engineer specialising in Azure who can design, build, and integrate scalable AI systems that drive innovation across the business.
About us
SThree is the global STEM workforce consultancy, fusing ambition, expertise and technology. We advise businesses, build expert teams and deliver project solutions, to outpace tomorrow, together. We have been in STEM for more than 39 years – a global team with local expertise across specialist sectors in Engineering, Life Sciences and Technology. We aspire to be the game-changers in STEM. We are all in, we build partnerships, we think big, and we do the right thing. We bring skilled people together, whatever the speed, scale and scope of the ambitions, to build the future.
What you’ll be doing:
- Designing and developing AI models and solutions using Azure OpenAI, Azure ML, and other Cognitive Services.
- Building scalable and efficient AI systems that meet performance and business requirements.
- Working closely with business analysts, data scientists, and engineering teams to integrate AI into existing systems and workflows.
- Keeping up to date with the latest advancements in AI, machine learning, and Azure technologies — and bringing new ideas to the table.
- Providing expert guidance on AI best practices and contributing to the organisation’s AI strategy.
- Conducting data analysis and feature engineering, using tools like Azure Data Lake.
- Creating strong testing and validation processes to ensure reliability and accuracy of AI models.
- Monitoring and resolving operational issues, including investigating significant outages and recommending corrective actions.
- Ensuring operational documentation and procedures meet security, compliance, and performance standards.
- Overseeing the planning, installation, and maintenance of new or updated AI components and services.
What you’ll bring:
- Strong programming ability in Python, C#, or Java, with solid software engineering foundations.
- Experience building AI solutions with Azure OpenAI, Azure Cognitive Services, and Azure Machine Learning.
- Background in machine learning techniques, feature engineering, and model evaluation.
- Experience working with large datasets and Azure data tools (Data Factory, Data Lake, SQL, Cosmos DB).
- Knowledge of CI/CD, containerisation (Docker/Kubernetes), and MLOps practices (Azure DevOps).
- Understanding of Azure Cloud services such as AKS, GPU VMs, and Azure security/networking for AI applications.
- Strong communication skills and experience working in agile teams.
Qualifications:
- Degree in Computer Science, Software Engineering, or equivalent experience (5+ years within a cloud environment).
What’s in it for you?
- Hybrid working options for flexibility.
- Bonus linked to company and personal performance.
- 28 days holiday plus public holidays, with an annual leave purchase scheme.
- Private healthcare, discounted dental insurance, and health cashback scheme.
- Paid volunteering days and caregiver leave.
- Access to retail discounts and our company share scheme.
What we stand for:
We are committed to ensuring that every colleague, candidate, and member of our community experiences fair, equitable, and respectful treatment. We strive to create an environment where everyone belongs, feels valued, and is supported to thrive. If you require any assistance or reasonable adjustments during the application process, please let us know. We are here to help.
AI Engineer in London employer: SThree
Contact Detail:
SThree 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 people in the industry, attend meetups, and connect with fellow AI enthusiasts. 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 using Azure technologies. 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 and Azure-related questions. Practice explaining your past projects and how you tackled challenges. Confidence is key, so let your passion for AI shine through!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Engineer role. Highlight your experience with Azure technologies 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! Share your passion for AI and how you can contribute to our team. Be sure to mention specific Azure tools you've used and how they relate to the job description.
Showcase Your Projects: If you've worked on any AI projects, make sure to include them in your application. We love seeing real-world examples of your work, especially if they involve Azure OpenAI or Cognitive Services. It helps us understand your hands-on experience!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at SThree
✨Know Your Azure Stuff
Make sure you brush up on your knowledge of Azure OpenAI, Azure ML, and Cognitive Services. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Coding Skills
Since strong programming ability in Python, C#, or Java is crucial, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges related to AI solutions and data handling.
✨Communicate Clearly
Strong communication skills are key for this role. Practice explaining complex AI concepts in simple terms, as you'll need to collaborate with business analysts and other teams. Think about how you can convey your ideas effectively during the interview.
✨Stay Updated on AI Trends
Keep yourself informed about the latest advancements in AI and machine learning. Be prepared to share your thoughts on emerging trends and how they could impact the business. This shows your passion for the field and your commitment to continuous learning.