At a Glance
- Tasks: Lead the design and deployment of innovative AI systems for impactful operational improvements.
- Company: Dynamic Cyber&AI specialist at the forefront of technology solutions.
- Benefits: Flexible hybrid working model, direct collaboration with leadership, and growth in a supportive environment.
- Other info: Join a diverse team committed to innovation and equal opportunity.
- Why this job: Shape transformative AI initiatives and make a real business impact.
- Qualifications: Experience with AI systems, strong Python skills, and ability to work autonomously.
The predicted salary is between 60000 - 80000 £ per year.
Excellent opening within a Cyber&AI specialist, at the forefront of integrating innovative technology solutions to help mid-market and enterprise clients thrive. They are now seeking a talented AI & Data Specialist to lead the design and deployment of their internal AI systems, enabling them to stay ahead in a fast-paced industry. This is a fantastic chance to shape AI-driven operational improvements within a forward-thinking business.
Role Overview
Location: London (Hybrid, 2-3 days office presence expected)
What You’ll Be Doing
- Develop and deploy robust agentic AI workflows using tools like LangChain, OpenAI, and Claude APIs.
- Collaborate directly with senior leadership to identify key internal AI use cases across multiple functions.
- Build scalable data pipelines for AI systems, ensuring reliability and quality of data.
- Manage end-to-end AI system deployment, monitoring, and iterative improvement from prototype to production.
- Document AI tools and train teams to adopt and extend solutions independently.
Main Skills Needed
- Proven experience building and deploying production-grade agentic AI systems with APIs like OpenAI or Claude.
- Strong coding skills in Python; experience with TypeScript is a bonus.
- Hands-on knowledge of RAG pipelines, vector databases, and semantic search.
- Comfort with deploying AI solutions on cloud platforms such as Azure, Docker, and using CI/CD tools.
- Ability to translate business needs into technical specifications and work autonomously in a fast-moving environment.
What’s in It for You
- Join a company serious about using AI to create a real business impact.
- Work directly with leadership on strategic AI initiatives.
- Play a key role in a high-visibility, transformative project.
- Enjoy a flexible hybrid working model in London.
- Grow your expertise in a cutting-edge, supportive environment that values proactive, self-driven talent.
Curious? Apply now - or grab five minutes with us to hear more.
Data & AI Specialist in London employer: Addition+
Join a pioneering Cyber&AI specialist in London, where you will have the opportunity to lead the design and deployment of innovative AI systems that drive real business impact. With a flexible hybrid working model and a culture that fosters collaboration with senior leadership, you will be empowered to grow your expertise in a supportive environment that values proactive talent. This role not only offers the chance to work on high-visibility projects but also encourages personal and professional development within a forward-thinking organisation.
StudySmarter Expert Advice🤫
We think this is how you could land Data & AI Specialist in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Data & AI Specialist in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Addition+, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Addition+. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Addition+
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Addition+!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
