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- Tasks: Join a dynamic team to build ML capabilities for trading, driving competitive edge.
- Company: Dare is a forward-thinking company focused on innovative trading solutions.
- Benefits: Enjoy 38 days of holiday, health insurance, gym membership, and a £5000 learning budget.
- Why this job: Be part of a culture that values curiosity, collaboration, and impactful ideas.
- Qualifications: 3+ years in Machine Learning, strong Python skills, and a solid math/statistics background required.
- Other info: Diversity is key; we celebrate all backgrounds and experiences.
The predicted salary is between 43200 - 72000 £ per year.
The Senior Machine Learning Engineer role is a key role within the Engineering space at Dare. Working closely with a talented technical team to build a platform that delivers ML capabilities to our Liquidity trading teams. These teams are responsible for delivering products for internal customers. Setting and delivering a consistent, scalable approach to machine learning across the organisation is one of the key success criteria for this role. The role requires building relationships and collaborating with Senior Leaders across the business to shape a strategy that delivers models that provide our traders with a competitive edge.
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Using Dare’s proprietary trading data and models to drive trading PNL.
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Developing trading indicators and strategies powered by machine learning.
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Partnering with quantitative research and algorithmic trading technology teams.
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Collaborating with the CEO and other senior stakeholders to combine domain knowledge with engineering expertise., Please let us know ahead of the interview and testing processes if you require any reasonable adjustments or assistance during the application process.
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3+ years of experience as a Machine Learning Engineer or similar role.
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A background in maths, statistics, and algorithms, with the capability to write robust scalable Python code.
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A strong understanding of the mathematical and statistical fundamentals on which the ML methods are based. We want someone who understands the methods rather than just calling functions from existing ML packages.
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Experience with production data processing. That includes data manipulation, data cleansing, aggregation, efficient (pre-)processing, etc.
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Experience with time-series data, including storage and management.
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A strong understanding through the usage of machine learning frameworks (TenserFlow, PyTorch, sci-kit-learn, Huggingface).
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Understanding and experience with functional programming.
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Ability to work with analytical teams to build dashboards that prove the value of the machine learning capabilities as we deliver models to our production environments.
Desirable:
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Experience working with real-time data systems.
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Experience working with cloud-based solutions.
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Competitive salary
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Vitality health insurance and dental cover
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38 days of holiday (including bank holidays)
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Pension scheme
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Annual Bluecrest health checks
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A personal learning & development budget of £5000
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Free gym membership
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Specsavers vouchers
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Enhanced family leave
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Cycle to Work scheme
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Credited Deliveroo dinner account
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Office massage therapy
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Freshly served office breakfast twice a week
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Fully stocked fridge and pantry
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Social events and a games room
Diversity matters:
We believe in a workplace where our people can fulfill their potential, whatever their background or whomever they are. We celebrate the breadth of experience and see this as critical to problem-solving and to Dare thriving as a business. Our culture rewards curiosity and drive, so the best ideas triumph and everyone here can make an impact.
Senior Engineer employer: Dare
Contact Detail:
Dare Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Engineer
✨Tip Number 1
Familiarize yourself with Dare's proprietary trading data and models. Understanding how these elements drive trading PNL will give you a significant edge in discussions during the interview process.
✨Tip Number 2
Highlight your experience with machine learning frameworks like TensorFlow and PyTorch. Be prepared to discuss specific projects where you've applied these tools, as this will demonstrate your hands-on expertise.
✨Tip Number 3
Showcase your ability to collaborate with cross-functional teams. Since this role involves working closely with quantitative research and algorithmic trading technology teams, emphasize any past experiences where you've successfully partnered with diverse groups.
✨Tip Number 4
Prepare to discuss your understanding of the mathematical and statistical fundamentals behind machine learning methods. This knowledge is crucial for the role, so be ready to explain how you've applied these concepts in real-world scenarios.
We think you need these skills to ace Senior Engineer
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description for the Senior Machine Learning Engineer position. Understand the key responsibilities, required skills, and the impact this role has on the organization.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience with machine learning, particularly in building scalable models and working with production data. Mention specific projects where you utilized Python and relevant ML frameworks.
Showcase Collaboration Skills: Since the role involves working closely with senior leaders and various teams, provide examples of past collaborations. Highlight how you have successfully partnered with different stakeholders to achieve common goals.
Tailor Your Application: Customize your application materials to reflect the language and values mentioned in the job description. Use keywords related to machine learning, data processing, and collaboration to ensure your application resonates with the hiring team.
How to prepare for a job interview at Dare
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with machine learning frameworks like TensorFlow and PyTorch. Highlight specific projects where you applied your knowledge of algorithms, statistics, and Python coding to solve real-world problems.
✨Demonstrate Collaboration Skills
Since the role involves working closely with senior leaders and various teams, share examples of how you've successfully collaborated in the past. Emphasize your ability to build relationships and communicate complex technical concepts to non-technical stakeholders.
✨Discuss Your Approach to Data Processing
Prepare to talk about your experience with data manipulation, cleansing, and time-series data management. Provide insights into how you've handled production data processing and the strategies you've implemented to ensure data quality and efficiency.
✨Align with Company Values
Familiarize yourself with Dare's culture and values, especially their emphasis on diversity and curiosity. Be ready to discuss how your background and experiences align with these values and how you can contribute to a thriving workplace.
