At a Glance
- Tasks: Design and build scalable AI systems that enhance workflows and decision-making.
- Company: Join a leading private equity firm investing heavily in AI technology.
- Benefits: Competitive salary, hybrid working model, and significant bonus potential.
- Other info: Opportunity for ownership and career progression in a dynamic environment.
- Why this job: Be part of a transformative AI journey with real impact from day one.
- Qualifications: Experience in building AI systems and strong software engineering skills required.
The predicted salary is between 80000 - 100000 £ per year.
We're currently partnered with an exceptional private equity investment business that has recently made a major investment into AI and technology, including hiring a Global Head of AI Engineering to build and lead the function. As part of this growth, they are looking to hire both a Senior AI Engineer and a Lead AI Engineer into a newly forming team that will play a critical role in shaping how AI is adopted and embedded across the wider business.
This is not an environment where AI is being explored for the sake of innovation headlines. The focus is on building scalable, production-grade AI systems that can genuinely improve workflows, knowledge systems, operational efficiency and internal decision making across a highly sophisticated investment business.
The opportunity is particularly unique because of the level of ownership available. You will be joining at an early stage of the AI function's growth, giving you the chance to influence architecture, tooling, technical direction, use cases and long-term strategy from day one.
The environment itself is highly technical, intellectually strong and engineering-led, with significant buy-in from leadership and investment into modern tooling and infrastructure.
The Role
- Designing and building scalable AI systems and internal AI tooling
- Developing and deploying LLM-powered applications and agentic workflows
- Working across retrieval systems, prompt engineering and orchestration frameworks
- Building production-grade APIs and AI services
- Partnering with senior stakeholders across the business to identify impactful AI use cases
- Helping shape AI architecture, best practices and engineering standards
- Evaluating and implementing emerging AI tooling and frameworks
- Mentoring engineers and helping grow the wider AI capability (Lead level)
What They're Looking For
They are looking for strong engineers who are comfortable operating autonomously in a high-performance environment. The ideal background will likely include:
- Experience building and deploying AI systems into production
- Strong software engineering fundamentals
- Ability to work closely with senior technical and non-technical stakeholders
- Commercial mindset and interest in solving real operational problems
- Comfortable working in a fast-moving and evolving environment
- Previous experience in startups, scaleups, high-performance technology teams or sophisticated enterprise environments is beneficial
Package
- Base salary well into six figures
- 20-40% discretionary bonus
- Hybrid working model based in Central London
- Opportunity to join at the beginning of a major AI transformation journey within a globally respected investment environment
The business is looking to move quickly and can offer significant long-term scope, ownership and progression for the right individuals.
Senior AI Engineer employer: Kennedy Pearce Consulting
Join a pioneering private equity investment firm that is at the forefront of AI innovation, where you will have the unique opportunity to shape the future of AI systems from the ground up. With a strong emphasis on technical excellence and a culture that fosters intellectual growth, you will benefit from a hybrid working model in Central London, competitive salary packages, and a significant discretionary bonus. This role not only offers the chance to influence key architectural decisions but also provides ample opportunities for personal and professional development within a highly respected global organisation.
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We think this is how you could land Senior AI Engineer
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We think you need these skills to ace Senior 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 Kennedy Pearce Consulting, 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 Kennedy Pearce Consulting. 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 Kennedy Pearce Consulting
✨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 Kennedy Pearce Consulting!
✨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.
