Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop and deploy machine learning models for financial services.
- Company: BJAK is Southeast Asia's largest digital insurance platform, transforming financial access.
- Benefits: Enjoy remote work flexibility, competitive salary, and performance bonuses.
- Why this job: Make a real impact on millions while working in a fast-paced, innovative environment.
- Qualifications: Bachelor's or Master's in a technical field with 2-4 years of ML experience required.
- Other info: Join a mission-driven team reshaping financial systems across Asia.
The predicted salary is between 30000 - 42000 £ per year.
Join to apply for the Machine Learning Engineer (Remote) role at BJAK
2 days ago Be among the first 25 applicants
Join to apply for the Machine Learning Engineer (Remote) role at BJAK
Get AI-powered advice on this job and more exclusive features.
Working arrangement: United Kingdom (Remote work from anywhere in the UK)
Build AI Systems That Make Finance Simpler, Smarter, and More Inclusive
At BJAK, were building the next generation of intelligent financial services across Southeast Asia. As a Machine Learning Engineer, youll develop and deploy models that power key features – from personalization and risk scoring to intelligent automation and fraud detection. Your work will have a direct and visible impact on millions of users across the region.
This is a remote role based in the UK, working closely with our HQ in Malaysia and cross-functional teams across product, data, and engineering. Youll be part of a fast-paced, execution-driven environment where your ideas help shape real-world solutions.
Why This Role Matters
- Youll design and scale ML solutions that directly impact user experience and operational efficiency
- Youll contribute to robust, production-grade systems used by millions
- Youll work across a variety of use cases and collaborate closely with product, engineering, and data
- Youll grow quickly in a lean, ambitious team with regional influence
What Youll Do
- Collaborate with product managers, data scientists, and engineers to define machine learning goals and use cases
- Build, train, and deploy models to power features like recommendation, classification, ranking, or detection
- Manage the full ML lifecycle: data wrangling, feature engineering, training, evaluation, deployment, and monitoring
- Develop and maintain scalable ML pipelines and infrastructure
- Integrate models into production systems and user-facing applications
- Analyze model performance and retrain based on feedback and evolving data
- Stay up to date on relevant AI/ML advancements and contribute to innovation
- Support debugging, testing, and performance optimization of ML systems
Youll Thrive Here If You…
- Own outcomes, not just tasks – you care deeply about real-world results, not just shipping code or hitting accuracy targets
- Figure things out fast – when direction is unclear, you dont wait; you explore, test, and make progress
- Move with urgency – youre excited by fast-moving environments, quick iterations, and shifting priorities
- Solve problems end-to-end – from messy data to model deployment, you chase the solution across the stack
- Wear multiple hats – youre not limited by role boundaries; you jump in where needed and learn fast
- Thrive on feedback, iteration, and learning – you improve things daily, including yourself
- Turn chaos into clarity – you bring structure, action, and momentum when others are stuck
- Stay humble and hungry – youre a strong individual contributor who makes the team stronger
Requirements
- Bachelor\’s or Masters degree in Computer Science, Data Science, or a related technical field
- 2 – 4 years of experience in machine learning, AI, or backend software development
- Proficient in Python and experienced with ML frameworks like TensorFlow, PyTorch, or Scikit-learn
- Strong understanding of ML development: preprocessing, model building, evaluation, and deployment
- Experience deploying models in production via APIs or cloud infrastructure
- Familiar with Jupyter, version control tools (Git), and collaborative coding practices
- Strong problem-solving, communication, and teamwork skills
- Must be based in the UK and able to work remotely with regional teams
Nice to Have
- Experience with NLP, recommender systems, or computer vision
- Familiarity with cloud platforms such as AWS, GCP, or Azure
- Exposure to containerization tools like Docker and CI/CD processes
- Background in fast-growth startups or agile product environments
What Youll Get
- Competitive salary and performance-based bonuses
- Flexible, remote-first work from anywhere in the UK
- High-impact role with visibility across product, engineering, and leadership
- Flat structure – your work is seen and your voice matters
- Fast learning curve with room to grow alongside a mission-driven company
- Regional exposure across Southeast Asias most exciting fintech markets
About BJAK
BJAK is Southeast Asias largest digital insurance platform, helping millions of users access transparent and affordable financial protection. Headquartered in Malaysia, with presence in Thailand, Taiwan, and Japan, were building AI-powered solutions that simplify financial services through automation, smart recommendations, and cutting-edge APIs.
Were on a mission to reshape how people access, understand, and benefit from financial protection – and were looking for passionate engineers to help us make it real.
Excited to apply machine learning to real-world challenges at scale? Join BJAK and help us build smarter, fairer financial systems across Asia.
LNKD1_UKTJ
Seniority level
-
Seniority level
Entry level
Employment type
-
Employment type
Full-time
Job function
-
Job function
Information Technology
-
Industries
Software Development
Referrals increase your chances of interviewing at BJAK by 2x
Get notified about new Machine Learning Engineer jobs in United Kingdom .
London, England, United Kingdom 2 weeks ago
City Of London, England, United Kingdom 3 weeks ago
Senior Software Engineer (Python/Django)
London, England, United Kingdom 3 weeks ago
Cambridge, England, United Kingdom 2 weeks ago
Nottingham, England, United Kingdom 1 day ago
London, England, United Kingdom $35,000.00-$46,000.00 1 month ago
London, England, United Kingdom 2 weeks ago
Software Engineer (Python) – AI Platform
London, England, United Kingdom 1 day ago
Birmingham, England, United Kingdom 1 week ago
London, England, United Kingdom 1 week ago
Manchester, England, United Kingdom 1 week ago
London, England, United Kingdom 1 week ago
London, England, United Kingdom 1 week ago
London, England, United Kingdom 1 week ago
Hemel Hempstead, England, United Kingdom 1 week ago
Reading, England, United Kingdom 1 week ago
London, England, United Kingdom 3 weeks ago
Data Engineer (open to the UK and Europe)
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr
Machine Learning Engineer (Remote) employer: Bjak
Contact Detail:
Bjak Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer (Remote)
✨Tip Number 1
Familiarise yourself with BJAK's mission and values. Understanding their focus on making finance simpler and more inclusive will help you align your answers during interviews and demonstrate your genuine interest in the role.
✨Tip Number 2
Brush up on your knowledge of machine learning frameworks like TensorFlow and PyTorch. Be prepared to discuss specific projects where you've used these tools, as practical experience is highly valued in this role.
✨Tip Number 3
Network with current or former employees of BJAK on platforms like LinkedIn. Engaging with them can provide insights into the company culture and expectations, which can be beneficial during your application process.
✨Tip Number 4
Stay updated on the latest trends in AI and machine learning, especially in the fintech sector. Being able to discuss recent advancements or case studies during your interview can set you apart from other candidates.
We think you need these skills to ace Machine Learning Engineer (Remote)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning and software development. Focus on projects where you've built, trained, or deployed models, and mention specific frameworks like TensorFlow or PyTorch.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how your skills align with BJAK's mission. Mention any experience you have with financial services or similar industries to show your understanding of the role's impact.
Showcase Problem-Solving Skills: Use examples from your past work to demonstrate your problem-solving abilities. Highlight situations where you took initiative, explored solutions, and delivered results, especially in fast-paced environments.
Highlight Collaboration Experience: Since the role involves working closely with cross-functional teams, emphasise your teamwork and communication skills. Provide examples of successful collaborations with product managers, data scientists, or engineers.
How to prepare for a job interview at Bjak
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn. Bring examples of projects where you've built, trained, and deployed models, and be ready to explain your approach to the full ML lifecycle.
✨Demonstrate Problem-Solving Abilities
Highlight your ability to tackle complex problems end-to-end. Share specific instances where you've turned messy data into actionable insights or successfully deployed models in production, showcasing your critical thinking and adaptability.
✨Emphasise Collaboration and Communication
Since this role involves working closely with cross-functional teams, illustrate your teamwork skills. Discuss how you've collaborated with product managers, data scientists, and engineers in the past to achieve common goals and drive project success.
✨Stay Updated on Industry Trends
Show your passion for the field by discussing recent advancements in AI and machine learning. Mention any relevant articles, research, or innovations that excite you, demonstrating your commitment to continuous learning and improvement.
