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- Tasks: As a Machine Learning Engineer, you'll use ML and NLP to analyze data and mentor junior team members.
- Company: SPD Technology creates cutting-edge tech solutions that drive client growth with a focus on collaboration and excellence.
- Benefits: Enjoy fully remote work, flexible schedules, and support for personal and professional growth.
- Why this job: Join a high-performance team, tackle exciting challenges, and make a lasting impact in the tech industry.
- Qualifications: Bachelor’s/master’s in computer science or related fields, 2+ years of experience, and proficiency in Python and ML frameworks.
- Other info: Participate in company-wide events and CSR initiatives while enjoying a supportive work culture.
The predicted salary is between 36000 - 60000 £ per year.
At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed.
We are looking for a Machine Learning Engineer to join us as part of our team.
About the role
PitchBook’s Machine Learning Engineer is responsible for using machine learning, statistical modeling, and natural language processing (NLP) to collect a high volume of data for the PitchBook Platform and surface insights for the capital markets. This role will also serve as a resource and mentor for junior members of the team. A strong motivation to succeed is critical and everyone has the opportunity to shape the long-term direction of our team.
About the project
PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. Features of PitchBook: Advanced search / Discovery & insights / Company profiles / Workflow & efficiency / Financials and many more.
Team
1 EM, 2 Applied AI/Data Scientists, 2 ML Engineers, 1 MLOps Engineer
Work Environment
Experience an agile and flexible working environment. Enjoy the freedom of fully remote work with a flexible working schedule. Empower yourself with a stable workload and a stable income, supported by provided laptops and licensed software. We focus on lasting cooperation and unite result-oriented individuals who stand on a high-performance approach to work. Work schedule: flexible with the requirement to attend all team meetings. Working environment: The team will work on activities related to technical debt resolution and new features.
As a qualified expert, You will
- Apply Natural Language Processing (NLP) and Machine Learning: Utilize NLP and ML techniques to create novel views of private industry data, enhancing decision-making and insights.
- Extract Insights from Textual Data: Analyze unstructured data such as articles and conversations to identify unique signals of private company performance, aiding market trend prediction.
- Collaborate Efficiently: Partner with Product and Engineering teams to automate processes for large-scale data, improving data management and analysis.
- Stay Informed and Lead: Stay updated on industry trends in Data Science and ML, actively contributing to the development of best practices and thought leadership.
- Support Company Vision: Share our company’s values, fostering a positive work culture.
- Participate in Initiatives: Engage in company projects to contribute to overall success.
We’re looking for you if you have
- Bachelor’s/master’s degree in computer science, Machine Learning, Statistics, or related fields.
- 2+ years of experience in a similar role in a production environment.
- Experience in transformer-based language models. Proficient in deep learning frameworks (i.e., TensorFlow and PyTorch).
- Demonstrated experience with natural language processing.
- Demonstrated experience with Python or other object-oriented programming frameworks.
- Demonstrated experience in using SQL for data extraction.
- Strong communication and data presentation skills.
- Strong problem-solving ability.
- Ability to communicate complex analysis in a clear, precise, and actionable manner.
- Experience working closely with software development team(s) is a plus.
- Experience building scalable systems in production is a plus.
- Knowledge of financial services, investment, banking, VC, and/or PE is desired but not required.
What’s in it for You
Reveal great tech solutions
Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling client growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients.
Experience an agile and flexible working environment
Enjoy the freedom of fully remote work with a flexible working schedule. Empower yourself with a stable workload and a stable income, supported by provided laptops and licensed software. We focus on lasting cooperation and unite result-oriented individuals who stand on a high-performance approach to work.
Embrace the opportunity for personal and professional growth
Benefit from performance and merit reviews, elevate your skills with personal development plans, and individual learnings through the corporate library, public speaking support, and more.
Be among like-minded people
Work with a team of one mind who cares about what they do and how they do. Collaborate with top-notch experts who are always ready to help and support you through any challenges. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Feel supported by your HR, and take advantage of our referral bonus program.
Interview steps
- Pre-Screening with the recruiter.
- Tech screening (up to 30-40 min).
- Team interview + Live Coding (up to 1.5 hour).
- Client interview + Live Coding (up to 1.5 hour).
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Machine Learning Engineer employer: SPD Technology
Contact Detail:
SPD Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Familiarize yourself with the specific machine learning and NLP techniques mentioned in the job description. Being able to discuss your experience with transformer-based language models and deep learning frameworks like TensorFlow and PyTorch will set you apart during interviews.
✨Tip Number 2
Prepare to showcase your problem-solving skills by thinking of real-world examples where you've successfully applied machine learning to extract insights from unstructured data. This will demonstrate your ability to contribute effectively to the team.
✨Tip Number 3
Since collaboration is key in this role, be ready to discuss how you've worked with product and engineering teams in the past. Highlight any experiences where you automated processes or improved data management, as this aligns with the company's goals.
✨Tip Number 4
Stay updated on the latest trends in data science and machine learning. Being knowledgeable about current industry practices will not only help you in interviews but also show your commitment to continuous learning and professional growth.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, natural language processing, and any specific projects that demonstrate your skills. Use keywords from the job description to align your experience with what SPD Technology is looking for.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your passion for machine learning and how you can contribute to the team at SPD Technology. Mention specific aspects of their work culture that resonate with you.
Showcase Your Projects: If you have worked on relevant projects, especially those involving transformer-based models or NLP, be sure to include them in your application. Provide links to your GitHub or portfolio to give them a clear view of your capabilities.
Prepare for Technical Questions: Anticipate technical questions related to machine learning frameworks like TensorFlow and PyTorch, as well as SQL for data extraction. Be ready to discuss your problem-solving approach and how you communicate complex analyses clearly.
How to prepare for a job interview at SPD Technology
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning, NLP, and deep learning frameworks like TensorFlow and PyTorch. Bring examples of projects where you've successfully applied these technologies, as this will demonstrate your hands-on expertise.
✨Communicate Clearly
Since strong communication skills are essential for this role, practice explaining complex technical concepts in a simple and actionable manner. This will help you connect with both technical and non-technical team members during the interview.
✨Demonstrate Problem-Solving Abilities
Prepare to discuss specific challenges you've faced in previous roles and how you approached solving them. Highlight your analytical thinking and problem-solving skills, as these are crucial for a Machine Learning Engineer.
✨Engage with the Team
During the team interview, show your collaborative spirit by asking questions about the team's current projects and how you can contribute. This will reflect your interest in teamwork and alignment with the company's culture of collaboration.
