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- Tasks: Design and deploy scalable machine learning solutions while enhancing algorithms for better performance.
- Company: Join a leading Adtech company that's partnered with Google and thriving in the AI space.
- Benefits: Enjoy a hybrid work model, competitive salary, and the chance to work with cutting-edge technology.
- Why this job: Be part of a rapidly growing company that generated over 1 billion in revenue for partners last year.
- Qualifications: Solid experience in Python or Go, SQL skills, and familiarity with machine learning frameworks required.
- Other info: This role offers a unique opportunity to work with advanced technologies like TensorFlow and Pytorch.
The predicted salary is between 60000 - 84000 £ per year.
Job Description Machine Learning Engineer – Birmingham/Hybrid – £75,000 – £85,000 ML| AI | Python | scikit-learn | Pytorch | Keras | OpenCV | TensorFlow | SQL | GCP | K-means | Vertex AI | BigQuery | PostgreSQL | Machine Learning Do you want to work at a Google Partner? Or maybe you want to work somewhere which is taking AI and Machine Learning seriously. If so I have a role for you. Opus are supporting a brilliant Adtech company in their search for a Machine Learning Engineer. It’s a really exciting time for this company as they went through the 100 million barrier last year in revenue and through their services helped their partners generate over 1 billion in revenue. Tech Stack you will get to learn and use includes: Go, Python, scikit-learn, TensorFlow, Pytorch, Keras, OpenCV, Vertc AI, GCP Responsibilities – Design and Deploy Scalable Solutions Enhance Algorithms for better accuracy efficiency and scalability Develop tools to monitor system and model performance Deliver key results aligned with company objectives within the OKR framework Skills needed – Solid Python or GO experience SQL Skills with Data Warehouse Building Classification models
Machine Learning Engineer - Birmingham/Hybrid - £75,000 - £85,000 employer: Opus Recruitment Solutions
Contact Detail:
Opus Recruitment Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer - Birmingham/Hybrid - £75,000 - £85,000
✨Tip Number 1
Familiarize yourself with the specific technologies mentioned in the job description, such as TensorFlow, Pytorch, and scikit-learn. Having hands-on experience or projects showcasing these skills can set you apart from other candidates.
✨Tip Number 2
Engage with the AI and Machine Learning community online. Participate in forums, attend webinars, or join local meetups to network with professionals in the field. This can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Showcase your problem-solving skills by preparing for technical interviews. Practice coding challenges related to machine learning algorithms and data structures, as these are often key components of the interview process.
✨Tip Number 4
Research the company’s recent projects and achievements, especially their revenue milestones. Being able to discuss how your skills can contribute to their ongoing success will demonstrate your genuine interest in the role.
We think you need these skills to ace Machine Learning Engineer - Birmingham/Hybrid - £75,000 - £85,000
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Machine Learning Engineer position. Understand the key responsibilities and required skills, especially focusing on technologies like Python, TensorFlow, and SQL.
Tailor Your CV: Customize your CV to highlight relevant experience in machine learning, AI, and the specific technologies mentioned in the job description. Include any projects or roles where you utilized Python, scikit-learn, or GCP.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and machine learning. Mention why you want to work with the company and how your skills align with their goals, particularly in enhancing algorithms and deploying scalable solutions.
Highlight Achievements: In both your CV and cover letter, emphasize any significant achievements related to machine learning projects. Use metrics to demonstrate your impact, such as improvements in model accuracy or efficiency.
How to prepare for a job interview at Opus Recruitment Solutions
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, TensorFlow, and other tools mentioned in the job description. Highlight specific projects where you've successfully implemented machine learning algorithms or developed scalable solutions.
✨Understand the Company’s Impact
Research the Adtech company and understand how they generate revenue through AI and Machine Learning. Be ready to discuss how your skills can contribute to their success and help them achieve their objectives.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities. Practice explaining your thought process when designing algorithms or enhancing model performance, as this will demonstrate your analytical skills.
✨Familiarize Yourself with OKR Framework
Since the role involves delivering results aligned with company objectives within the OKR framework, familiarize yourself with this methodology. Be ready to discuss how you have set and achieved goals in previous roles.
