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- Tasks: Develop and deploy AI/ML software products for a leading gaming organisation.
- Company: Join a top-tier betting and gaming company undergoing exciting transformation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Be part of a dynamic team shaping the future of AI in gaming.
- Qualifications: Experience in ML development, cloud technologies, and MLOps practices required.
- Other info: Exciting career prospects in a fast-paced, innovative environment.
The predicted salary is between 36000 - 60000 £ per year.
I have an exciting opportunity for a ML Engineer to join one of the world’s premier betting and gaming organisations, backed by decades of industry heritage, who are going through an exciting big transformation. They are based in London and Leeds and this is a Hybrid position (2 days).
Responsibilities
- Develop AI/ML software products including large data set and deploy the solution for production usage.
- Design, develop and maintain the large-scale data infrastructure required for the AI/ML projects.
- Leverage on understanding of software architecture and software design patterns.
- Develop solutions, components, services and frameworks to address both specific and common needs in AI/ML projects, like feature reuse, model traceability, monitoring, A/B test, versioning, release, and serving of both online inference end-points and batch inference.
Experience
- Have experience in developing software products that have been successfully deployed to production.
- Hands-on experience with cloud technologies for ML development in AWS.
- Have solid experience in MLOps practices, developing ML pipelines, data pipelines and deploying ML applications to production.
- Have a strong working knowledge of a variety of AI/ML techniques and experience working with different frameworks.
Please apply here if you are interested in finding out more.
Machine Learning Engineer employer: TrioTech Recruitment
Contact Detail:
TrioTech Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at companies you're eyeing. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects. Whether it's GitHub repos or a personal website, let your work speak for itself. This is your chance to shine!
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and frameworks. Practice coding challenges and be ready to discuss your past projects. Confidence is key, so know your stuff!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience with AI/ML software products and any cloud technologies you've worked with, especially AWS. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific projects where you've developed and deployed ML applications. We love seeing real-world examples of your work, so don’t hold back! Describe the challenges you faced and how you overcame them.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about this opportunity and how your background makes you a great fit. We appreciate a personal touch, so let your personality come through!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at TrioTech Recruitment
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest AI/ML techniques and frameworks. Brush up on your experience with cloud technologies, especially AWS, as this will likely come up during the interview. Be ready to discuss specific projects where you've successfully deployed ML applications.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled challenges in previous roles, particularly around developing and maintaining large-scale data infrastructures. Use examples that highlight your understanding of software architecture and design patterns, as these are crucial for the role.
✨Demonstrate MLOps Knowledge
Since MLOps practices are key for this position, be prepared to explain your experience with developing ML pipelines and deploying applications. Discuss any tools or methodologies you’ve used for model traceability, monitoring, and versioning, as these will show your depth of knowledge.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s current AI/ML projects and their transformation journey. This not only shows your interest but also helps you gauge if the company aligns with your career goals.
