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For Companies At a Glance
- Tasks: Drive development of analytics capabilities using AI and ML techniques.
- Company: Savantiq, an innovative tech startup revolutionising deal-making with AI.
- Benefits: Competitive salary, potential equity, and flexible remote work options.
- Why this job: Join a dynamic team and shape cutting-edge tools in finance.
- Qualifications: 2-4 years experience in ML/AI, strong Python skills, and team player.
- Other info: Collaborate directly with founders and gain high visibility in your role.
The predicted salary is between 36000 - 60000 £ per year.
Company
Savantiq is an ambitious early stage technology company revolutionising how M&A, PE, and VC deal-making is done, giving deal teams a competitive edge powered by AI and a modern tech stack.
The company was founded in 2022 by Heini Salonen (CEO) and Matthew Jones (CTO) who have extensive experience in private finance investments and technical roles in the top firms in London and New York (Goldman Sachs, BlackRock). The company is backed by venture capital firms Vendep Capital and Crowberry Capital, as well angel investor Kristo Ovaska (co-founder of Smartly.io).
Role
Having built up a strong team in Helsinki, we are expanding the team in London. We are looking for an AI analytics engineer / data focused developer. You’ll join our London office to drive development of Savantiq’s analytics capabilities: from statistical modelling and custom ML models, to retrieval systems and fine-tuned LLMs. You’ll work directly with the CTO, shaping cutting-edge tools that transform deal-making in M&A, PE, and VC – with the autonomy to choose the right tools and approaches to solve each problem.
The successful candidate will be highly driven and motivated to join an early stage startup, thrive on taking ownership over developing cutting edge features within the platform, and bring their strong technical knowledge to make an impact across the whole company.
We believe we are a market leader in this space and are seeking the right candidate, with c. 2-4 years of experience, to strengthen our position even further. The role is in person in London.
Skills
Core
- Solid foundation in statistical modelling and data-driven problem solving, with hands-on experience with a range of ML/AI techniques, e.g. supervised / unsupervised learning, natural language processing and LLMs. Ability to select the best analytics tools and frameworks to address a variety of problems.
- Strong software development experience in Python, with understanding of object-oriented and functional programming paradigms.
- Experience in building and deploying ML pipelines from scratch, and ensuring scalability to production environments, ideally with experience in AWS.
- Relentless drive and energy required to work in an early stage startup
- Team player and strong communication skills
Beneficial
- Familiarity with MLOps practices for continuous deployment and monitoring of models.
- Basic knowledge of React, and/or ability and willingness to learn to work full-stack as needed.
- Experience of M&A / Finance use cases for machine learning.
What We Offer
- Competitive compensation package (with potential equity component)
- A pivotal role in shaping the company\’s analytics products and the culture of our new London office.
- Direct collaboration with a founder, giving you high visibility and influence.
- In office work preferred but flexibility to work remotely approx. 1 day a week.
- Work with a highly experienced and international team – the business team of 5 has a combined 30+ years of experience in top finance firms in London and New York; software development team of 4 have a combined 25+ years of experience
We’re excited to not only learn more about your skills and experience but also to hear about your growth aspirations, career goals, and what drives you. We encourage applicants from all backgrounds to apply – even if you don’t meet 100% of the requirements.
Contact
matthew@savantiq.ai
Machine Learning Engineer – Analytics employer: Savantiq
Contact Detail:
Savantiq Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer – Analytics
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those connected to Savantiq. LinkedIn is your best mate here – drop them a message, ask for a chat, and show genuine interest in their work.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can talk confidently about statistical modelling, ML techniques, and Python. We want to see your passion for AI and how you can contribute to our analytics capabilities.
✨Tip Number 3
Show us your projects! If you've built any ML models or worked on relevant data-driven projects, be ready to discuss them. We love seeing practical applications of your skills, so bring your portfolio or GitHub links to the table.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows us you’re serious about joining our team and being part of this exciting journey at Savantiq.
We think you need these skills to ace Machine Learning Engineer – Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience with statistical modelling, ML techniques, and any relevant projects that showcase your skills. We want to see how you can bring value to Savantiq!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about joining Savantiq and how your background aligns with our mission. Don’t forget to mention your passion for AI and analytics – we love that!
Showcase Your Projects: If you've worked on any cool ML projects, make sure to include them in your application. Whether it's a personal project or something from a previous job, we want to see your hands-on experience and creativity in action!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Savantiq
✨Know Your ML Basics
Make sure you brush up on your statistical modelling and machine learning techniques. Be ready to discuss supervised and unsupervised learning, as well as natural language processing. Savantiq is looking for someone who can demonstrate a solid foundation in these areas, so prepare some examples of how you've applied them in past projects.
✨Showcase Your Coding Skills
Since the role requires strong Python development experience, be prepared to talk about your coding projects. Bring along examples of ML pipelines you've built or deployed, and be ready to explain your thought process. If you have experience with AWS, make sure to highlight that too!
✨Understand the Company’s Vision
Savantiq is revolutionising deal-making in M&A, PE, and VC, so do your homework on the company and its mission. Familiarise yourself with their tech stack and think about how your skills can contribute to their goals. This will show your genuine interest and help you stand out.
✨Be Ready to Discuss Team Dynamics
As a startup, teamwork and communication are key. Prepare to share examples of how you've collaborated with others in previous roles. Highlight your ability to take ownership of projects and how you thrive in fast-paced environments. This will resonate well with Savantiq's culture.