At a Glance
- Tasks: Design and deploy cutting-edge AI/ML solutions across various business areas.
- Company: Join a global client’s innovative GenAI team in Central London.
- Benefits: Competitive daily rate of £550-£700 and impactful work experience.
- Other info: Contract role until December 2026 with excellent career growth potential.
- Why this job: Make a real difference while collaborating with cross-functional teams.
- Qualifications: Experience in Azure AI, GenAI solutions, and machine learning architectures.
The predicted salary is between 70000 - 90000 £ per year.
Salary: £? - ? per year
Requirements
- Experience in Azure AI Foundry, Multi Agents, and Azure Cloud solution development
- Demonstrable experience building and deploying GenAI solutions using frameworks such as LangChain and Azure OpenAI
- Experience developing enterprise-grade RAG systems, including context engineering and multimodal data pipelines
- Experience designing and deploying autonomous multi-agent systems using modern orchestration frameworks and evaluation approaches
- Experience delivering Text-to-SQL solutions and natural language interfaces for structured data environments
Responsibilities
- Design, develop, and deploy scalable AI/ML solutions across multiple business areas
- Deliver production‑grade machine learning systems aligned with enterprise quality, reliability, and scalability standards
- Lead end‑to‑end AI/ML solution development from data exploration and experimentation through deployment, monitoring, and continuous optimisation
- Work closely with cross‑functional teams including data engineering, infrastructure, DevOps, and product management
- Translate business needs into robust, reusable machine learning architectures
Technologies
- AI
- Azure Cloud
- DevOps
- Machine Learning
- Marketing
- SQL
This is a contract role running from July until 31st Dec 2026, with a daily rate of £550‑£700. The role offers the opportunity to make an impact across multiple business areas while working with cross‑functional teams in data engineering, infrastructure, DevOps, and product management. No sponsorship is available for this position, so we ask that you do not apply if you require sponsorship.
Senior AI Engineer in London employer: Sivara GmbH
Join a forward-thinking global client as a Senior AI Engineer in the vibrant heart of Central London, where innovation meets collaboration. Enjoy a dynamic work culture that fosters creativity and professional growth, with opportunities to lead impactful AI/ML projects across diverse business areas. With competitive daily rates and a focus on cutting-edge technologies, this role offers a unique chance to shape the future of AI solutions in a supportive and engaging environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Sivara GmbH before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Sivara GmbH.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Sivara GmbH.
We think you need these skills to ace Senior AI Engineer in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Sivara GmbH, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Sivara GmbH, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Sivara GmbH’s attention and show the tangible impact of your work.
How to prepare for a job interview at Sivara GmbH
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Sivara GmbH.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Sivara GmbH.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Sivara GmbH.
