Let’s get started
By clicking ‘Next’, I agree to the Terms of Service
and Privacy Policy
Jobs / Job page
Junior Machine Learning Engineer image - Rise Careers
Job details

Junior Machine Learning Engineer

About Lendable

Lendable is on a mission to make consumer finance amazing: faster, cheaper and friendlier.

  • We're building one of the world’s leading fintech companies and are off to a strong start:

  • One of the UK’s newest unicorns with a team of just over 400 people

  • Among the fastest-growing tech companies in the UK

  • Profitable since 2017

  • Backed by top investors including Balderton Capital and Goldman Sachs

  • Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot)

So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days.

We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes.

Join us if you want to

  • Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1

  • Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo

  • Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting

About Lendable


Lendable is on a mission to make consumer finance amazing: faster, cheaper and friendlier.

 

> We're building one of the world’s leading fintech companies and are off to a strong start:

> One of the UK’s newest unicorns with a team of just over 400 people

> Among the fastest-growing tech companies in the UK

> Profitable since 2017

> Backed by top investors including Balderton Capital and Goldman Sachs

> Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot)


So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days.

 

We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes.



Join us if you want to


> Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1

> Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo

> Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting



About the role


We are excited to be hiring a new Machine Learning Engineer into our team! Lendable is the market leader in real rate risk-based pricing, offering consumers transparency and product assurance at the point of application. Machine learning sits at the heart of this USP, developing and deploying credit risk models to underwrite loan and credit card products.

Tech stack

  • Python

  • FastAPI

  • Pydantic

  • Pytorch

  • Tensorflow

  • AWS

  • Docker

  • Rabbit MQ

  • Kubernetes

Your team's objectives

  • The data science team develops proprietary behavioural models combining state-of-the-art techniques with a variety of data sources that inform market-facing underwriting and pricing decisions, scorecard development, and risk management.

  • This role has a focus on deploying our ML models and developing the supporting infrastructure

  • We work across the business in a multidisciplinary capacity to identify issues, translate business problems into data questions, and architect and build solutions. 

How you'll impact those objectives

  • Learning the domain of products that Lendable serves, and understanding the data that informs strategy and risk modelling is essential to being able to successfully contribute value. Design systems to integrate machine learning models into scalable applications

  • Develop and maintain tools and libraries for the data science pipeline

  • Clearly communicate results to stakeholders through verbal and written communication.

  • Share ideas with the wider team, learn from and contribute to the body of knowledge.

Key skills

  • Experience using Python and SQL

  • Strong proficiency with PyData stack

  • Understanding of web frameworks such as FastAPI

  • Knowledge of machine learning techniques and their respective pros and cons

  • Confident communicator and contributes effectively within a team environment

  • Self-driven and willing to lead on projects / new initiatives

Nice to haves

  • Strong SQL and interest in data engineering

  • Deep learning model development experience

  • GPU inference and deployment experience

Interview

  • Initial call with TA

  • Take home task

  • Task debrief and case study interview

  • Final interviews with Exec team

Life at Lendable (check out our Glassdoor page)


> The opportunity to scale up one of the world’s most successful fintech companies.

> Best-in-class compensation, including equity.

> You can work from home every Monday and Friday if you wish - on the other days we all come together IRL to be together, build and exchange ideas.

> Our in-house chef prepares fresh, healthy lunches in the office every Tuesday-Thursday

> We care for our Lendies’ well-being both physically and mentally, so we offer coverage when it comes to private health insurance

> ​We're an equal opportunity employer and are looking to make Lendable the most inclusive and open workspace in London


Check out our blog!

Life at Lendable (check out our Glassdoor page)

  • The opportunity to scale up one of the world’s most successful fintech companies.

  • Best-in-class compensation, including equity.

  • You can work from home every Monday and Friday if you wish - on the other days we all come together IRL to be together, build and exchange ideas.

  • Our in-house chef prepares fresh, healthy lunches in the office every Tuesday-Thursday

  • We care for our Lendies’ well-being both physically and mentally, so we offer coverage when it comes to private health insurance

  • ​We're an equal opportunity employer and are looking to make Lendable the most inclusive and open workspace in London

Check out our blog!

Average salary estimate

$0 / YEARLY (est.)
min
max
$0K
$0K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Junior Machine Learning Engineer, Lendable

Lendable is on the lookout for a talented Junior Machine Learning Engineer to join our dynamic team! At Lendable, we’re revolutionizing the consumer finance landscape and making it faster, cheaper, and friendlier. As a member of our innovative team, you’ll have the chance to work with cutting-edge technology and contribute to developing and deploying credit risk models for our various financial products. You'll dive deep into our tech stack, which includes Python, FastAPI, and AWS, and apply your knowledge of machine learning techniques to help us enhance our unique selling propositions. You’ll collaborate closely with exceptional colleagues who share your passion for problem-solving and are eager to implement smarter solutions. As you learn about the products we serve, you’ll also play a crucial role in translating complex business challenges into scalable data-driven solutions. We cherish a culture that puts a heavy emphasis on communication and collaboration, where every voice counts. In return for your hard work and ingenuity, Lendable offers a stimulating work environment, flexible remote work options, and an amazing benefits package including equity and private health insurance. By joining us, you'll not only be part of a thriving fintech company but also feel empowered to make impactful changes from day one. We can't wait to see what you’ll bring to the table!

Frequently Asked Questions (FAQs) for Junior Machine Learning Engineer Role at Lendable
What are the responsibilities of a Junior Machine Learning Engineer at Lendable?

As a Junior Machine Learning Engineer at Lendable, you'll be responsible for developing and deploying machine learning models that inform our credit risk assessment. You'll work within a multidisciplinary team, translating business problems into data-driven questions and collaborating on solutions. Furthermore, you'll maintain tools and libraries that enhance our data science pipeline, ensuring seamless integration of ML models into our applications.

Join Rise to see the full answer
What qualifications do I need to apply for the Junior Machine Learning Engineer position at Lendable?

To apply for the Junior Machine Learning Engineer position at Lendable, candidates should have experience with Python and SQL, as well as a strong grasp of the PyData stack. Familiarity with web frameworks like FastAPI and a foundational understanding of machine learning techniques are also important. Communication skills are key, as you'll need to articulate your findings to various stakeholders.

Join Rise to see the full answer
What tech stack does Lendable use for machine learning projects?

At Lendable, our tech stack for machine learning projects includes Python, FastAPI, Pydantic, PyTorch, TensorFlow, AWS, Docker, RabbitMQ, and Kubernetes. Being proficient in these technologies will be crucial for any Junior Machine Learning Engineer looking to excel in our fast-paced and innovative environment.

Join Rise to see the full answer
How does Lendable support the professional growth of a Junior Machine Learning Engineer?

Lendable is committed to the professional growth of all team members, including Junior Machine Learning Engineers. You’ll have opportunities to work closely with experienced professionals in a collaborative environment, taking ownership of meaningful projects from day one. This role allows for learning and sharing knowledge, ensuring that every voice contributes to the body of expertise.

Join Rise to see the full answer
What is the interview process like for a Junior Machine Learning Engineer at Lendable?

The interview process for a Junior Machine Learning Engineer at Lendable starts with an initial call with talent acquisition, followed by a take-home task. This is complemented by a task debrief and a case study interview, concluding with final interviews with our executive team. This structured process helps us find the best fit for our innovative environment.

Join Rise to see the full answer
Common Interview Questions for Junior Machine Learning Engineer
Can you explain a machine learning project you've worked on?

When asked about a machine learning project, describe your role, the data you used, the algorithms implemented, and the results achieved. Highlight any challenges faced and how you overcame them, referencing specific techniques or tools from your experience that relate to Lendable's needs.

Join Rise to see the full answer
How do you handle missing data in a dataset?

Discuss various techniques for dealing with missing data, such as imputation methods, using algorithms that support missing values, or simply discarding missing data when necessary. Tie your answer back to how these methods can enhance the credit risk models you might work on at Lendable.

Join Rise to see the full answer
What are the differences between supervised and unsupervised learning?

Provide a clear definition of both types of learning. Mention specific algorithms associated with each, such as regression models for supervised learning and clustering techniques for unsupervised learning. Relate this to how these methods could be utilized for predictive analytics at Lendable.

Join Rise to see the full answer
How do you evaluate the performance of a machine learning model?

Explain the importance of metrics such as precision, recall, F1-score, and AUC-ROC for model evaluation. Discuss how you would implement cross-validation to avoid overfitting. Connect these concepts to Lendable's approach to credit risk analysis.

Join Rise to see the full answer
What do you understand about Lendable's approach to machine learning?

Demonstrate your knowledge about Lendable’s focus on machine learning for credit risk modeling. Mention how developing and deploying these models can lead to better decision-making in consumer finance, aligning your response with the company’s mission to make finance more transparent and accessible.

Join Rise to see the full answer
How would you improve an underperforming model?

Outline steps such as diagnosing issues through data analysis, experimenting with different algorithms, tuning hyperparameters, and incorporating additional data sources. Emphasize a data-driven approach, which is crucial for projects at Lendable.

Join Rise to see the full answer
What is your experience with cloud computing platforms?

Share your knowledge of cloud platforms that you've used, particularly AWS. Discuss how cloud environments support ML deployments and model scalability, which align with Lendable's infrastructure.

Join Rise to see the full answer
Can you describe the role of feature engineering in machine learning?

Explain the significance of selecting and transforming variables to improve model performance. Share any relevant experiences where feature engineering led to better predictive outcomes, particularly in financial contexts.

Join Rise to see the full answer
How do you prioritize tasks in a machine learning project?

Discuss methods like the SMART criteria and Agile project management techniques. Share how you would prioritize based on business impact, timelines, and resource availability—critical skills for a Junior Machine Learning Engineer at Lendable.

Join Rise to see the full answer
What challenges do you foresee while working with machine learning in fintech?

Highlight challenges like data privacy, regulatory compliance, and ensuring model interpretability. Expound on how you would approach these challenges within the context of Lendable's mission to provide better consumer finance solutions.

Join Rise to see the full answer
Similar Jobs
Photo of the Rise User
Lendable Remote No location specified
Posted 4 days ago
Photo of the Rise User
Posted 3 days ago
Photo of the Rise User
Lendable Remote No location specified
Posted 3 days ago
Posted 3 days ago
Photo of the Rise User
Posted 13 days ago
Photo of the Rise User
Sportradar Remote Litostrojska Cesta 52a, Ljubljana, Slovenia
Posted 7 days ago
Photo of the Rise User
Expeditors Hybrid Expeditors International (India) Pvt Ltd, The Forum Vijaya Mall, 10th Floor, Prestige Center Court, 183, N.S.K. Salai, Kumaran Colony, Vadapalani, Chennai, Tamil Nadu 600026, Chennai, Tamil Nadu, India
Posted 15 hours ago
Photo of the Rise User
Lendable Remote No location specified
Posted 3 days ago
Photo of the Rise User
RF-SMART Remote Jacksonville, Florida, United States
Posted 9 days ago
Photo of the Rise User
Posted 10 days ago

Founded in 2014, Lendable offers loans to consumers by matching them with investors. It aims to make loan applications easier and quicker by using technology to automate credit decisions and give borrowers instant, personalized interest rates. Len...

38 jobs
MATCH
VIEW MATCH
FUNDING
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
January 27, 2025

Subscribe to Rise newsletter

Risa star 🔮 Hi, I'm Risa! Your AI
Career Copilot
Want to see a list of jobs tailored to
you, just ask me below!