At a Glance
- Tasks: Lead a team to integrate AI/ML into core SaaS products and drive innovation.
- Company: Award-winning FinTech SaaS business based in London, focused on AI/ML.
- Benefits: Competitive salary, pension, bonus, 25 days holiday, and wellbeing support.
- Other info: Hybrid work model with significant growth opportunities in a dynamic environment.
- Why this job: Shape the future of AI in finance and lead a talented team.
- Qualifications: Strong background in Machine Learning, leadership experience, and FinTech knowledge.
The predicted salary is between 120000 - 140000 £ per year.
- Head of Machine Learning
- Central London - Twice a week in the office
- £120,000-£140,000
I'm currently working with a well-established London Fin Tech wealth-management Saa S business, who are looking for a
Machine Learning expert with strong leadership experience to join their growing team on a hybrid basis.
This award-winning business supports global Fin Tech clients with cloud management, CRM solutions, productivity platforms and the ongoing development and scaling of their technology architecture.
In this newly created role, you will head up the Data Science/Machine Learning team and take ownership of driving the adoption and implementation of AI across the business.
This will include integrating AI/ML capabilities into their core Saa S products, which are used by a range of wealth management firms, banks and Fin Tech organisations globally.
- More about the company
- Founded in 2017.
- London based - twice a week in the office.
- Work with some of the largest Fin Tech & Payments companies globally.
- Investing heavily in AI/ML to simplify processes and enhance their products.
- Award-winning business and part of a wider financial services group.
The Role - Head of Machine Learning
- Lead a small team of Data Scientists, with the role being predominantly technical alongside some people management.
- Drive the integration of ML and AI across the company's core Saa S products.
- Work closely with clients and internal teams to ensure AI solutions are developed and implemented effectively.
- Take ownership of the company's growing AI/ML strategy and help shape how these technologies are used across the business.
- Newly created position offering significant scope to grow and progress as the AI/ML function develops.
- Tech Requirements
- Strong background in Machine Learning, AI, Data Science, Data Engineering and Saa S environments.
- Experience leading technical teams, including some people management responsibility.
- Strong experience working with NLP, LLMs and other modern AI/ML solutions.
- Strong technical background across Data, Development and Cloud, ideally with Python and Azure.
- Previous experience taking ML/AI solutions from development through to implementation.
- Strong stakeholder management and communication skills.
- Must have recent experience within Fin Tech or Financial Services, ideally working with technology businesses, wealth management or banking clients.
Benefits
5% Pension, Bonus, 25 Days Holiday + Bank Holidays, Wellbeing Support, Self-development tools & various other perks.
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Head Of Machine Learning employer: 83zero Limited
Join a dynamic team in Larne, Northern Ireland, where innovation meets collaboration. As a Power Platform & Fabric Solutions Developer, you'll enjoy a supportive work culture that prioritises employee growth and offers flexible working hours. With competitive pay and the opportunity to work on transformative projects, this role is perfect for those looking to make a meaningful impact in the tech landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Head Of Machine Learning
✨Tap into Campus Networks
If you're still in uni, don’t forget to engage with your campus's career services and attend finance-related events. Banks often do presentations and recruitment drives on campus, so put yourself out there and make use of these opportunities to show off your passion for the field.
✨Get Certified
Consider pursuing relevant certifications like the CFA or ACCA while you’re job hunting. They not only beef up your CV but also connect you with professional bodies which can lead to networking opportunities and even job openings in banking and financial services.
✨Connect on Professional Platforms
Join finance-focused groups on platforms like LinkedIn and engage in discussions. This can really help you stand out from the crowd, allowing potential employers to see your knowledge and interest in industry trends. Plus, you might stumble upon job postings shared exclusively within the group.
✨Apply Directly and Be Proactive
Don’t shy away from reaching out directly to firms like 83zero Limited. Use their websites and apply through them, but also consider following up with a polite email to express your enthusiasm. Being proactive can make a huge difference in getting noticed in the competitive financial services sector.
We think you need these skills to ace Head Of Machine Learning
Some tips for your application 🫡
Show Off Your Numbers!:In the banking and financial services world, quantifiable achievements are key. Make sure your CV highlights your grades in relevant subjects, any financial certifications you hold, and specific projects where you've delivered measurable results. Employers love to see how your skills translate into real-world success.
Tailor Your Cover Letter to the Role:When applying for a full-time position, your cover letter should make a direct connection between your experience and the job description. Don't just state your enthusiasm for finance—dive into how your background in banking or financial analysis sets you apart. Let your passion shine through while being specific about what you can bring to 83zero Limited.
Include Relevant Financial Software Experience:If you've worked with financial modelling tools or software like Excel, SAP, or specific analytical tools during your studies or internships, bring that up! Highlighting your proficiency can really make your application pop and show you're ready to hit the ground running in a full-time role.
Research and Reflect:Before hitting that 'apply' button on 83zero Limited's website, do a little digging. Look up their recent projects, values, and culture. Reflecting their ethos in your application can make a huge difference and show you’re genuinely interested in being part of the team!
How to prepare for a job interview at 83zero Limited
✨Brush Up on Financial Analysis Skills
Make sure you're well-versed in financial concepts and analytical techniques relevant to banking and financial services. Get comfortable with tools like Excel for modelling or financial forecasting, as technical questions in this area are common during interviews with 83zero Limited.
✨Prepare for Case Studies
Expect to tackle case studies that demonstrate your problem-solving skills in real-world banking scenarios. Familiarise yourself with the types of problems you might face—think risk assessments or investment evaluations—and be ready to articulate your thought process clearly.
✨Show Your Passion for Finance
Since this is a full-time position, employers at 83zero Limited will be keen to see your genuine interest in finance. Be prepared to discuss recent industry trends or news articles that excite you, showcasing your enthusiasm and engagement with the field.
✨Network with Industry Professionals
Before your interview, reach out to current or former 83zero Limited employees on platforms like LinkedIn. They'll offer unique insights into the company's culture and the interview process, which can give us a delightful edge in showcasing a good fit for the team.
