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- Tasks: Design and implement AI models to tackle real-world challenges.
- Company: BJAK is revolutionising AI with innovative solutions for global markets.
- Benefits: Enjoy competitive salary, performance incentives, and strong career development opportunities.
- Why this job: Join a mission-driven team focused on making life easier through intelligent automation.
- Qualifications: Bachelor's, Master's, or Ph.D. in Computer Science or related field required.
- Other info: Work in a dynamic environment with no limits to your growth potential.
The predicted salary is between 28800 - 48000 £ per year.
Leveraging our strength in advanced browser automation, we\’re now launching a global AI solution designed to simplify life through intelligent task automation. Based in Malaysia, our AI product is uniquely positioned to serve global markets, and we\’re at an exciting stage in our journey. Our mission is to ensure that the benefits of AI reach everyone, everywhere, creating a world where intelligent task automation enhances human productivity and makes life easier. At BJAK, there are no limits to growth—if you\’re inspired by meaningful challenges, hands-on contributions, and rapid career advancement, you\’ll thrive here. Join us in building innovations that simplify life and shape the future of AI. Collaborate with product managers and stakeholders to define AI project objectives, requirements, and timelines Design, develop, and implement AI models, algorithms, and applications to solve complex business challenges End-to-end AI model lifecycle, including data collection, preprocessing, model training, evaluation, and deployment Stay updated with the latest advancements in AI and machine learning, incorporating best practices into projects Drive data-driven decision-making through advanced analytics and visualization techniques Ensure the security, scalability, and efficiency of AI solutions Research efforts to explore and integrate cutting-edge AI techniques Bachelor\’s, Master\’s, or Ph.D. in Computer Science, Artificial Intelligence, or a related field Proven experience as an AI engineer or data scientist, with a track record of leading successful AI projects Proficiency in AI and machine learning frameworks and programming languages (e.g., Python) Strong expertise in data preprocessing, feature engineering, and model evaluation A passion for staying at the forefront of AI and machine learning advancements Attractive remuneration and performance incentives Strong learning and development plans for your career growth Great career development opportunities in a growing company Competitive salary Employment type Full-time Industries IT Services and IT Consulting Get notified about new Machine Learning Engineer jobs in London, England, United Kingdom . AI Research Scientist (Sequential Decision Making) Python Backend Junior Software Engineer – Remote 4 days a week (Europe) Software Engineer, Frontend (Remote/Hybrid) Senior Machine Learning Engineer (must be UK based) We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #
Artificial Intelligence & Machine Learning Engineer employer: Bjak
Contact Detail:
Bjak Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence & Machine Learning Engineer
✨Tip Number 1
Familiarise yourself with the latest AI and machine learning frameworks, especially those mentioned in the job description. Being well-versed in tools like TensorFlow or PyTorch can give you an edge during discussions with our team.
✨Tip Number 2
Showcase your hands-on experience by preparing to discuss specific AI projects you've worked on. Be ready to explain your role, the challenges faced, and how you overcame them, as this will demonstrate your problem-solving skills.
✨Tip Number 3
Stay updated with recent advancements in AI and machine learning. Mentioning current trends or breakthroughs during your conversations can highlight your passion and commitment to the field, making you a more attractive candidate.
✨Tip Number 4
Network with professionals in the AI community, whether through online forums or local meetups. Building connections can provide insights into our company culture and may even lead to referrals, increasing your chances of landing the job.
We think you need these skills to ace Artificial Intelligence & Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI and machine learning. Focus on specific projects you've worked on, especially those that demonstrate your ability to design and implement AI models.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how it aligns with the company's mission. Mention any specific technologies or frameworks you are proficient in, such as Python, and how they relate to the role.
Showcase Your Projects: If you have a portfolio of AI projects or contributions to open-source initiatives, include links to these in your application. This will provide tangible evidence of your skills and experience.
Highlight Continuous Learning: Mention any recent courses, certifications, or workshops you've completed related to AI and machine learning. This shows your commitment to staying updated with industry advancements, which is crucial for this role.
How to prepare for a job interview at Bjak
✨Showcase Your AI Knowledge
Make sure to brush up on the latest advancements in AI and machine learning. Be prepared to discuss recent projects you've worked on, particularly those that involved complex algorithms or innovative solutions.
✨Demonstrate Problem-Solving Skills
During the interview, expect to face technical questions or case studies. Practice explaining your thought process clearly and logically when tackling these problems, as this will showcase your analytical skills.
✨Highlight Collaboration Experience
Since the role involves working with product managers and stakeholders, be ready to share examples of how you've successfully collaborated in past projects. Emphasise your communication skills and ability to work in a team.
✨Prepare for Technical Assessments
You may be asked to complete a coding challenge or technical assessment. Familiarise yourself with common AI frameworks and programming languages like Python, and practice coding problems related to data preprocessing and model evaluation.
