At a Glance
- Tasks: Lead the development of innovative AI solutions and collaborate with senior stakeholders.
- Company: Global asset manager investing heavily in AI technology.
- Benefits: Competitive salary, career growth, and the chance to shape AI adoption.
- Other info: Join an early-stage team with significant resources and support.
- Why this job: Be at the forefront of AI innovation and make a real impact.
- Qualifications: Experience in Python or Java, AWS, and technical leadership.
The predicted salary is between 67500 - 82500 £ per year.
A leading global asset manager is making a significant investment in AI and is hiring the first Lead Engineer into its new London AI Engineering team.
Working across Investments and Distribution, you'll have genuine senior-level sponsorship and the opportunity to shape how AI is built and adopted across the business.
This is a hands-on role for an experienced engineer who has been building production AI applications, agents, or intelligent workflows.
You'll work directly with senior stakeholders to identify opportunities, then architect and deliver AI solutions using Python, AWS, RAG, MCP, agentic frameworks, and modern AI engineering patterns.
From concept through to production, you'll own end-to-end delivery while helping establish reusable capabilities and engineering standards across the team.
The team are building AI agents, retrieval-based systems, workflow automation, evaluation frameworks, observability capabilities, and shared AI platforms designed for adoption across the wider organisation.
There's also a strong client-facing element.
You'll help showcase AI projects to senior stakeholders, clients, and partners, build relationships across the business, and have the opportunity to grow, while remaining close to the technology.
This is a rare opportunity to join at the start of a major AI build-out, combining the autonomy and influence of an early-stage team with the scale, investment, and resources of a global asset manager
- Required Skills
- Python or Java engineering background
- AWS & cloud-native architecture
- Technical leadership with a hands-on mindset
- #J-18808-Ljbffr
Lead AI Engineer employer: Thomson Keene
Thomson Keene is an excellent employer, offering a dynamic work culture that fosters innovation and collaboration among a talented team of engineers. With competitive salaries, bonuses, and direct engagement with senior IT and management, employees have ample opportunities for professional growth and development in the rapidly evolving field of M365 and Power Platforms.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Thomson Keene!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Lead AI Engineer at Thomson Keene.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Thomson Keene.
✨Apply Directly through Our Website
When you find a suitable opening like Lead AI Engineer at Thomson Keene, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Lead AI Engineer
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 Thomson Keene, 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 Thomson Keene. 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 Thomson Keene
✨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 Thomson Keene!
✨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.
