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- Tasks: Develop and optimise machine learning models in Azure and Databricks environments.
- Company: Amaris Consulting is a global tech consulting firm with over 1,000 clients across 60 countries.
- Benefits: Enjoy a diverse workplace, opportunities for growth, and the chance to work on impactful projects.
- Why this job: Join a vibrant team and tackle real-world challenges with cutting-edge technology.
- Qualifications: PhD in a relevant field and experience in machine learning and Azure Cloud Services required.
- Other info: Open to all qualified candidates; diversity is celebrated here.
The predicted salary is between 36000 - 60000 £ per year.
Join to apply for the Machine Learning Engineer role at Amaris Consulting.
Who are we? Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1,000 clients across the globe, we have been rolling out solutions in major projects for over a decade – this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We’re focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to crossing rivers of change, meeting challenges, and achieving all your projects successfully.
Our recruitment process:
- Brief Call: A virtual/phone conversation to get to know you, understand your motivations, and find the right job fit.
- Interviews: Typically around 3 interviews with team members, discussing your experience, skills, and the role, as well as our culture and opportunities.
- Case study: Depending on the position, you may be asked to complete a test or scenario.
We are seeking a highly skilled Machine Learning Engineer to join our advanced data science team. The ideal candidate will develop, deploy, and optimize machine learning models within Azure and Databricks environments, collaborating with cross-functional teams to deliver scalable, data-driven solutions that impact business outcomes.
Responsibilities:
- Design, implement, and maintain scalable machine learning pipelines on Azure Databricks.
- Collaborate with data scientists, data engineers, and stakeholders to translate business challenges into machine learning solutions.
- Deploy, monitor, and optimize models in production for reliability and performance.
- Contribute to data science workflow architecture and best practices within Azure cloud.
- Research and experiment with new methodologies to improve model accuracy.
- Ensure compliance with data governance and security standards.
Requirements:
- PhD in Computer Science, Mathematics, Statistics, or related field.
- Proven experience in machine learning, data science, and analytics.
- Hands-on expertise with Azure Cloud Services and Databricks.
- Strong programming skills in Python (libraries like Scikit-learn, TensorFlow, PyTorch).
- Understanding of data engineering concepts and collaboration with data engineers.
- Fluent in English, both written and spoken.
Amaris Consulting promotes diversity and is an equal opportunities employer. Applications from all qualified candidates are welcome regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics.
Additional Details:
- Seniority level: Mid-Senior level
- Employment type: Full-time
- Job function: Engineering and Information Technology
- Industries: IT Services and Consulting
Machine Learning Engineer employer: Amaris Consulting
Contact Detail:
Amaris Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Familiarise yourself with Azure and Databricks, as these are crucial for the role. Consider taking online courses or tutorials to enhance your practical skills in these platforms, which will help you stand out during the interview process.
✨Tip Number 2
Brush up on your Python programming skills, especially with libraries like Scikit-learn, TensorFlow, and PyTorch. Being able to demonstrate your coding abilities in real-time during interviews can significantly boost your chances of landing the job.
✨Tip Number 3
Prepare to discuss your previous projects and experiences in machine learning. Be ready to explain how you approached specific challenges and the impact of your solutions, as this will showcase your problem-solving skills and technical expertise.
✨Tip Number 4
Research Amaris Consulting's culture and values. Understanding their focus on collaboration and innovation will allow you to tailor your responses during interviews, demonstrating that you're not just a fit for the role but also for the company.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly read the job description for the Machine Learning Engineer position. Understand the key responsibilities and requirements, especially the technical skills needed like Azure, Databricks, and Python.
Tailor Your CV: Customise your CV to highlight relevant experience in machine learning, data science, and any specific projects that align with the responsibilities mentioned. Use keywords from the job description to ensure your CV stands out.
Craft a Compelling Cover Letter: Write a cover letter that not only showcases your technical skills but also reflects your passion for the role and the company. Mention how your background aligns with Amaris Consulting's mission and values.
Prepare for Interviews: Anticipate questions related to your experience with machine learning models and Azure. Be ready to discuss past projects and how you approached challenges. Practising case studies can also be beneficial.
How to prepare for a job interview at Amaris Consulting
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning frameworks and tools, especially Azure and Databricks. Bring examples of projects where you've successfully implemented machine learning models, and be ready to explain your thought process and the outcomes.
✨Understand the Company Culture
Research Amaris Consulting's values and work culture. During the interview, demonstrate how your personal values align with theirs, and express your enthusiasm for being part of a diverse and collaborative team.
✨Prepare for Case Studies
If you're asked to complete a case study, take the time to understand the problem thoroughly before jumping into solutions. Think critically about the data and methodologies you would use, and be ready to justify your choices based on best practices in machine learning.
✨Ask Insightful Questions
Prepare thoughtful questions about the role, team dynamics, and future projects at Amaris. This shows your genuine interest in the position and helps you assess if the company is the right fit for you.
