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- Tasks: Tackle exciting data challenges and deploy impactful ML solutions for real-world businesses.
- Company: Fast-growing AI firm in London, focused on investment and private equity.
- Benefits: Competitive salary, generous holiday, private medical cover, and pension contributions.
- Why this job: Make a tangible impact by transforming data into valuable insights for top stakeholders.
- Qualifications: Experience in ML delivery, Python, SQL, and cloud platforms.
- Other info: Flexible hybrid work model with opportunities for professional growth.
The predicted salary is between 72000 - 96000 £ per year.
Do you want to work on interesting data problems to drive commercial value? Have you taken models from prototype to production in messy, real-world environments? Are you ready to work with senior stakeholders in private equity portfolios?
We’re hiring for a fast-growing, London-based investment-focused AI firm that partners with private equity and investment groups to embed data science and machine learning into portfolio companies. Backed by recent investment and partnered with leading European PE firms, the business is scaling its deployment team to deliver measurable value across diverse industries.
This Senior Data Scientist / Senior Machine Learning Engineer role sits within the deployment group, working hands-on with portfolio companies post-deal to design, build, and deploy ML solutions that improve real business outcomes. Projects are varied, impact-driven, and typically delivered over 2–6 month cycles.
- Own end-to-end ML delivery from problem definition through deployment
- Build and productionise models across forecasting, pricing, churn, segmentation, fraud, and NLP use cases
- Work closely with data engineers and cloud infrastructure to scale solutions
- Translate technical work into clear commercial impact for senior stakeholders
- Contribute to code quality, deployment standards, and best practices
Salary: £90,000–£110,000 base + 15–20% discretionary bonus
Hybrid, 2–3 days per week in a central London office (flexible)
Technologies: Python, SQL, Databricks, AWS/GCP/Azure, Git, Docker
Benefits: 7% employer pension, private medical (family cover), life assurance, income protection, 25 days holiday + bank holidays
Visa: Sponsorship available
Senior Data Scientist (AI/ML) in City of London employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist (AI/ML) in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at firms you're interested in. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving real-world data problems. This is your chance to demonstrate how you've taken models from prototype to production.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and understanding the business side of things. Be ready to explain how your work translates into commercial impact for stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Plus, it gives you a better chance to stand out in the application process.
We think you need these skills to ace Senior Data Scientist (AI/ML) in City of London
Some tips for your application 🫡
Showcase Your Experience: When applying, make sure to highlight your experience with taking models from prototype to production. We want to see how you've tackled messy, real-world data problems and the impact of your work on business outcomes.
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the specific skills and experiences mentioned in the job description. We love seeing candidates who take the time to connect their background with what we’re looking for.
Be Clear and Concise: In your written application, clarity is key. Use straightforward language to explain your technical skills and how they translate into commercial value. Remember, we’re looking for someone who can communicate effectively with senior stakeholders.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Harnham
✨Know Your Data Science Stuff
Make sure you brush up on your data science and machine learning knowledge. Be ready to discuss your experience with Python, SQL, and cloud platforms like AWS or GCP. Prepare to share specific examples of how you've taken models from prototype to production in real-world scenarios.
✨Understand the Business Impact
This role is all about translating technical work into commercial value. Think about how your previous projects have driven business outcomes and be prepared to explain these in simple terms. Show that you can connect the dots between data science and the bottom line.
✨Collaborate Like a Pro
You'll be working closely with data engineers and senior stakeholders, so highlight your teamwork skills. Share examples of how you've collaborated on projects, especially in messy environments. Emphasise your ability to communicate complex ideas clearly to non-technical audiences.
✨Showcase Your Problem-Solving Skills
Be ready to tackle some real-world data problems during the interview. Think through your approach to problem definition, model building, and deployment. Demonstrating your end-to-end ML delivery process will show that you're not just a coder but a strategic thinker.