AI Engineer, QuantSpark
Machine Learning Expertise
+ EMI share options
2+ days a week in office
QuantSpark is revolutionising how data and AI serve society
Be an early applicant
QuantSpark is revolutionising how data and AI serve society
21-100 employees
Be an early applicant
+ EMI share options
2+ days a week in office
21-100 employees
Company mission
Strategy consultancy meets product studio: We build AI-powered tools that turn data into decisive competitive advantage.
Role
Who you are
- You have strong programming and software engineering skills, especially in Python, and follow best practices like version control and scalable code design
- You bring practical experience designing, training, and evaluating machine learning models, including deep learning and statistical optimisation
- You are proficient in developing data pipelines for large, complex datasets using Python, SQL, NoSQL, and big data tools, preferably on AWS or Azure
- You have hands-on experience with LLM operations and agentic AI tools such as GPT-5, LangChain, and vector databases
- You understand MLOps, including deployment, monitoring, and CI/CD pipelines, and can effectively communicate complex technical concepts to diverse audiences
- I want to work for a company that..
- Values cutting-edge AI innovation and invests in scalable, production-grade machine learning systems
- Encourages cross-disciplinary collaboration and continuous learning
- Supports best practices in software engineering and fosters a culture of performance optimisation and technology adoption
- I'm looking to work with..
- Talented data scientists, software engineers, product managers, and stakeholders across disciplines who are passionate about AI
- Teams that value clear communication and collaborative problem-solving to deliver impactful AI solutions
- In 3-5 years I want to be..
- An expert in deploying and shaping next-generation AI systems that drive real-world impact
- Leading AI architecture and operational excellence, mentoring others in ML engineering best practices
- Pioneering innovative AI applications with emerging technologies
What the job involves
- At QuantSpark, pioneering the strategic application of data, analytics, and AI is at the heart of our work. We empower businesses and government to thrive, not just for profits, but for measurable human and societal benefit. This means tackling real-world challenges, innovating at scale, and forging solutions that leave a legacy of prosperity and efficiency
- Here, engineers and strategists collaborate daily, compressing years of traditional progression into an accelerated path. As an AI Engineer, you’ll operate at both the visionary and technical frontier, steering teams who build, own, and transform essential platforms and products
- In this role, you’ll be responsible for designing, developing, and maintaining scalable AI systems using machine learning and data-driven approaches.
- You’ll integrate ML models into production-ready AI solutions while collaborating closely with data scientists, software engineers, and product teams. Monitor and optimise model performance, contribute to AI architecture and deployment, and stay current with the latest AI/ML research and technologies
- Reporting to: Engineering Manager
Salary benchmarks
Our take
QuantSpark helps governments and businesses to strategically apply data science through the development of complex decision-making software. Primarily, its work involves analysing large datasets and systems in order to understand customer behaviour and help clients make informed decisions for strategic planning in sales and marketing.
In recent years, big data has become central to the operation of businesses large and small, and this has led to great demand for data scientists fluent in sophisticated modelling and analysis. QuantSpark seeks to go a step further, providing a service which combines data science with commercial insight- effectively providing both services through one transaction. By doing this, QuantSpark hopes to offer clients a more meaningful insight into their data than a standard consultancy could.
Already, the company has an impressive client list, including the UK Government, the Australian Government and Bain Capital. QuantSpark's tools and solutions are developed to become embedded in its clients' operations, ensuring a long-lasting relationship between them, and meaning that, as QuantSpark continues to expand its client base, its model should allow it to see continued success in the future.
Steph
Company Specialist at Welcome to the Jungle
Insights
32% female employees
30% employee growth in 12 months
Glassdoor (3.4)
Company
Company benefits
- Tech for good: We are passionate about giving our team the chance to have a real social impact and will have the opportunity to work on a wide variety of impactful projects
- Training budget: Everyone in QuantSpark has £6,000 training budget and 12 ring-fenced days a year to spend on their own professional development
- Work abroad for up to 1 month per year
- Generous EMI Share Options scheme
- Socials, clubs and guilds to connect with colleagues and share knowledge
- Hybrid working (2-3 days in office per week)
- Dog friendly office
- Cycle to work scheme. Onsite showers
- 25 days annual leave + bank holidays + buy/sell 5 days annual leave
- Pension matched up to 6%
- Vitality Private healthcare
- Annual performance bonus: Company profit share scheme and a personal performance bonus of 10%
Company values
- Problem Solving Power: We thrive on solving the biggest challenges with data, strategy, and AI - delivering clarity from complexity.
- Innovation That Lasts: We go beyond solutions - reimagining operations and scaling impactful innovation across industries.
- Results That Matter: We focus on outcomes that count - driving efficiency, profitability and positive societal impact.
Company HQ
London, UK
Articles
Leadership
Adam Hadley
(Co-Founder & CEO)Entrepreneur and CBE Adam leads QuantSpark and Tech Against Terrorism, using AI and analytics to tackle global challenges, strengthen security, and foster economic growth in the UK.
Diversity, Equity & Inclusion at QuantSpark
- As an AI-first consultancy tackling complex challenges from economic crime to government fraud prevention, we know that diverse perspectives drive better solutions. Different backgrounds, experiences and ways of thinking aren't just nice to have—they're essential to building technology that works for everyone and solving problems others miss.
- Transparent progression frameworks ensuring fair opportunities for growth regardless of background
- Inclusive recruitment practices designed to attract talent from underrepresented groups in tech and data science
- Regular culture initiatives like our peer feedback sessions, workshops and AMA's where we actively shape our workplace together
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