Senior Machine Learning Engineer
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Newbury Full-Time 48000 - 84000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join us as a Senior Machine Learning Engineer to develop AI-powered solutions for the CAD/CAM industry.
  • Company: Autodesk transforms ideas into reality, creating innovative software for diverse industries.
  • Benefits: Enjoy competitive pay, bonuses, stock options, and a comprehensive benefits package.
  • Why this job: Be part of a collaborative team driving innovation in design and manufacturing with cutting-edge technology.
  • Qualifications: Proven expertise in AI/ML, programming skills in Python and JavaScript, and a hands-on mentality required.
  • Other info: Work remotely or from various UK locations, contributing to impactful projects that shape the future.

The predicted salary is between 48000 - 84000 £ per year.

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Senior Machine Learning Engineer

Apply locations EMEA – United Kingdom – Birmingham EMEA – United Kingdom – Offsite/Home EMEA – United Kingdom – London – Agar St EMEA – United Kingdom – Newbury time type Full time posted on Posted Yesterday job requisition id 25WD88887

Job Requisition ID #

25WD88887

Position Overview

As we embark on a multi-year mission to revolutionize the Computer Aided Design (CAD) and Manufacturing (CAM) industry with Autodesk Fusion, we are excited to offer a pivotal role in our Product Development and Manufacturing Solutions division. The team you will join is spearheading the development of Fusion’s cloud-based automation and AI-powered capabilities.

As a Senior Machine Learning Engineer, you will leverage your engineering skillset and research expertise to tackle complex problems in building comprehensive AI/ML solutions. Your involvement will span from data preparation at a massive scale to model training and evaluation, culminating in the release of ML-based automation capabilities as reliable, scalable, and secure cloud-based services. These services will be utilized by millions of Autodesk Fusion users on a daily basis and made available on Autodesk Platform Services, Autodesk’s global developer ecosystem.

Your extensive knowledge of AI/ML technology design, development, and deployment, coupled with solid cloud computing experience, will be crucial for successfully implementing cloud-based AI-powered solutions. You will guide the team in determining methods, technologies, and best practices, informed by the latest AI/ML research and industry developments. Additionally, you will have a solid understanding of non-functional requirements and governance models for cloud-based AI systems, such as SOC2 and ISO 42001. Your ability to efficiently handle the demands of a dynamic, fast-paced research and development environment will be key to your success.

In return, you will be part of a team committed to innovation, fast iteration times, minimal bureaucracy, and a collaborative work environment. This is your opportunity to not just witness but actively participate in the transformation of the CAD & CAM industry, making a lasting impact on the future of design and manufacturing.

Responsibilities

  • Cloud-Based Data Preparation: Design and develop a cloud-based data preparation pipeline for ML model development in the Design and Manufacture space.
  • Optimization: Optimize this pipeline for throughput, latency, and cost using published or novel and creative approaches.
  • Model Development: Develop ML models, building on the latest published research.
  • Model Improvement: Improve and customize existing models using methodologies like RAG, fine-tuning, and transfer-learning.
  • Integration: Integrate existing ML models into novel applications.
  • Application Development: Develop and deploy applications that integrate AI/ML technology or models.
  • Problem Solving: Apply ML methods to address challenges in the CAD/CAM space.
  • Literature Review: Review relevant AI/ML literature and industry developments to identify emerging methods, technologies, and best practices.
  • Collaboration: Work collaboratively with cross-functional teams to integrate research findings into product development.
  • Mentorship: Mentor and guide junior researchers and engineers, fostering a culture of continuous learning and improvement.
  • Publication: Publish research findings in top-tier conferences and journals; represent Autodesk at industry and research events.

Requirements

  • Research Expertise: Proven research track record in AI/ML, high-performance computing, big data, applied mathematics, or statistics.
  • Real-World Experience: Demonstrated history of developing AI/ML powered solutions that solve a real-world problem and have users of any form.
  • Programming Skills: Proficiency in Python and JavaScript (required), C++ (optional).
  • Analytical Skills: Solid understanding of ML approaches to determine suitable technologies or methodologies for specific problems.
  • Code Quality: Natural aptitude for good code and software architecture.
  • Work Ethic: Hands-on mentality.

Preferred requirements

  • Cloud Computing: Strong experience with AWS services, particularly ECS, EC2, Lambda, and AWS Identity and Access Management (IAM).
  • Governance Understanding: Understanding of governance for cloud-based and AI solutions (e.g., SOC2, ISO 42001, EU AI Act).
  • ML Frameworks: Experience with ML frameworks for data preparation and training at a large scale.

Learn More

About Autodesk
Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk – our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.

When you’re an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us!

Salary transparency

Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, we also have a significant emphasis on discretionary annual cash bonuses, commissions for sales roles, stock or long-term incentive cash grants, and a comprehensive benefits package.

Diversity & Belonging
We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here:

Are you an existing contractor or consultant with Autodesk?

Please search for open jobs and apply internally (not on this external site).

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Senior Machine Learning Engineer employer: Autodesk, Inc.

At Autodesk, we are committed to fostering a vibrant work culture that prioritises innovation, collaboration, and personal growth. As a Senior Machine Learning Engineer, you will not only contribute to groundbreaking AI/ML solutions but also benefit from a supportive environment that encourages continuous learning and mentorship. With competitive compensation, a comprehensive benefits package, and the opportunity to make a significant impact in the CAD and CAM industry, Autodesk is an exceptional employer for those looking to shape the future of design and manufacturing.
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Contact Detail:

Autodesk, Inc. Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Machine Learning Engineer

✨Tip Number 1

Familiarise yourself with the latest trends in AI and machine learning, especially those relevant to cloud computing. This will not only help you in interviews but also demonstrate your commitment to staying updated in a rapidly evolving field.

✨Tip Number 2

Engage with the Autodesk community through forums or social media platforms. Networking with current employees can provide insights into the company culture and expectations, which can be invaluable during the interview process.

✨Tip Number 3

Prepare to discuss specific projects where you've successfully implemented AI/ML solutions. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this showcases your problem-solving skills.

✨Tip Number 4

Brush up on your programming skills, particularly in Python and JavaScript. Being able to demonstrate your coding abilities during technical assessments can significantly boost your chances of landing the job.

We think you need these skills to ace Senior Machine Learning Engineer

Machine Learning Expertise
Cloud Computing Skills
Data Preparation Techniques
Model Development and Improvement
Proficiency in Python and JavaScript
Analytical Skills
Understanding of AI/ML Frameworks
Experience with AWS Services (ECS, EC2, Lambda)
Knowledge of Governance Models (SOC2, ISO 42001)
Problem-Solving Skills
Collaboration and Teamwork
Mentorship Abilities
Research Publication Experience
Software Architecture Knowledge
Hands-on Work Ethic

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in AI/ML, cloud computing, and software development. Use keywords from the job description to demonstrate that you meet the specific requirements for the Senior Machine Learning Engineer role.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI/ML and your understanding of Autodesk's mission. Mention specific projects or experiences that align with the responsibilities outlined in the job description.

Showcase Your Research Experience: If you have published research or have a strong background in AI/ML, make sure to include this in your application. Highlight any relevant publications or conferences where you've presented your work, as this will strengthen your candidacy.

Demonstrate Problem-Solving Skills: In your application, provide examples of how you've applied ML methods to solve real-world problems. This could be through previous projects or roles where you developed AI/ML solutions that had a tangible impact.

How to prepare for a job interview at Autodesk, Inc.

✨Showcase Your Research Expertise

Be prepared to discuss your previous research projects in AI/ML. Highlight specific challenges you faced, the methodologies you employed, and the outcomes of your work. This will demonstrate your depth of knowledge and practical experience.

✨Demonstrate Cloud Computing Skills

Familiarise yourself with AWS services, especially ECS, EC2, and Lambda. Be ready to explain how you've used these tools in past projects, as well as your understanding of governance models like SOC2 and ISO 42001.

✨Prepare for Technical Questions

Expect technical questions related to ML model development and optimisation. Brush up on your Python and JavaScript skills, and be ready to discuss coding best practices and software architecture principles.

✨Emphasise Collaboration and Mentorship

Highlight your experience working in cross-functional teams and mentoring junior engineers. Share examples of how you've fostered a collaborative environment and contributed to team success, as this aligns with the company's culture.

Senior Machine Learning Engineer
Autodesk, Inc.
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  • Senior Machine Learning Engineer

    Newbury
    Full-Time
    48000 - 84000 £ / year (est.)

    Application deadline: 2027-09-01

  • A

    Autodesk, Inc.

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