237 Senior Machine Learning Engineer jobs in the United Kingdom
Machine Learning Engineer
Posted 14 days ago
Job Viewed
Job Description
Spearheading the integration of machine learning into cutting-edge electronics
This innovative team of engineers and scientists are using machine learning tightly integrated with modern electronics to create new classes of products and radically alter the shape, performance and effectiveness of existing ones. As industry goes through a machine learning revolution you can be here, leading the charge.
You will work across the whole machine learning development lifecycle from initial concepts through data collection, cleaning and preparation to prototyping, testing and evaluation. With your models integrated with leading edge electronics, the final products are fully functional prototypes and demonstrator units manufactured at small scale. What’s special about this group is they do this dozens of times per year working across multiple domains. You can be working on computer vision for one project and generative models for the next.
Requirements:
- Strong knowledge of Python and its use in machine learning including hands-on experience building products with modern ML frameworks such as TensorFlow and PyTorch li>Broad knowledge of machine learning techniques across multiple domains and the ability to transition into new domains quickly
- A top degree in a STEM subject
- UK national
While not required, experience deploying machine learning onto a range of hardware from resource constrained embedded systems through to edge computing is desirable. As is any knowledge of GPU programming languages and frameworks (CUDA, ROCm, etc).
Your future colleagues will be similarly highly skilled, with experience across industry and the drive to innovate. You will find yourself in a low-management work environment that encourages teamwork and respect for individuals’ expertise. Benefits include private medical insurance, generous pension scheme and access to local social and sports clubs. Please note, you are required to be onsite full-time for this position.
Another top job from ECM, the high-tech recruitment experts.
Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call (phone number removed) or email your CV. We will always ask before forwarding your CV.
Please apply (quoting ref: CV27413 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
Machine Learning Engineer
Posted 1 day ago
Job Viewed
Job Description
Spearheading the integration of machine learning into cutting-edge electronics
This innovative team of engineers and scientists are using machine learning tightly integrated with modern electronics to create new classes of products and radically alter the shape, performance and effectiveness of existing ones. As industry goes through a machine learning revolution you can be here, leading the charge.
You will work across the whole machine learning development lifecycle from initial concepts through data collection, cleaning and preparation to prototyping, testing and evaluation. With your models integrated with leading edge electronics, the final products are fully functional prototypes and demonstrator units manufactured at small scale. What’s special about this group is they do this dozens of times per year working across multiple domains. You can be working on computer vision for one project and generative models for the next.
Requirements:
- Strong knowledge of Python and its use in machine learning including hands-on experience building products with modern ML frameworks such as TensorFlow and PyTorch li>Broad knowledge of machine learning techniques across multiple domains and the ability to transition into new domains quickly
- A top degree in a STEM subject
- UK national
While not required, experience deploying machine learning onto a range of hardware from resource constrained embedded systems through to edge computing is desirable. As is any knowledge of GPU programming languages and frameworks (CUDA, ROCm, etc).
Your future colleagues will be similarly highly skilled, with experience across industry and the drive to innovate. You will find yourself in a low-management work environment that encourages teamwork and respect for individuals’ expertise. Benefits include private medical insurance, generous pension scheme and access to local social and sports clubs. Please note, you are required to be onsite full-time for this position.
Another top job from ECM, the high-tech recruitment experts.
Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call (phone number removed) or email your CV. We will always ask before forwarding your CV.
Please apply (quoting ref: CV27413 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
Machine Learning Engineer
Posted 1 day ago
Job Viewed
Job Description
At Permutable AI, were building intelligent systems to automate market analysis using advanced NLP and multi-LLM frameworks. Our goal is to dramatically accelerate how financial information is processed, understood, and acted on, enabling faster, smarter decisions for financial analysts. As a small, ambitious start-up, youll work directly with our founder and a core team of talented.
WHJS1_UKTJ
Machine Learning Engineer
Posted 1 day ago
Job Viewed
Job Description
UK BASED APPLICANTS ONLY/ PLEASE DO NOT APPLY IF YOU NEED VISA OR SPONSORSHIP
Talent Hero is a speed and quality driven recruiting agency, dedicated to placing the best UK remote professionals in remote positions with U.S.A businesses.
Candidates who apply through Talent Hero, once vetted, are placed with US companies actively building intelligent, AI-powered products. Well match you with the right .
WHJS1_UKTJ
Graduate Machine Learning Engineer
Posted today
Job Viewed
Job Description
Job Description:
Calling all Graduates! Are you looking for a new role with industry leading training and mentoring? We're searching for a Graduate Machine Learning Engineer to join the team,
As the world becomes increasingly more digitalised, the importance of data and the understanding of it grows day by day. Sage AI is a nimble team within Sage building the future of cloud business management by using artificial intelligence to turbocharge our users' productivity. The Sage AI team builds capabilities to help businesses make better decisions through data-powered insights.
What will you be involved in?
As a part of our team, you will be crafting machine learning solutions to help steer the direction of the entire company's Data Science and Machine Learning effort. You will have chances to innovate, contribute and make an impact on the rapidly growing FinTech industry.
You will participate in the design, development, delivery, and analysis of high-quality machine learning solutions that contribute to the success of Sage and contributes intelligence to its products. You will learn how to use cutting-edge ML/AI tools such as tensorflow/pytorch, sklearn, etc. as well as the tools that are used to run models in production - docker, kubernetes, AWS, etc.
Core to the role, you will have passion and motivation for all things Data Science and Machine Learning, whilst appreciating that learning is a key part of the role, just as is the confidence to suggest recommendations and effectively communicate results to diverse groups and stakeholders.
In this role, you will pair with a dedicated mentor from Sage AI and gain hands on experience in all parts of the ML Development lifecycle in order to hone both your technical and professional skills.
Innovation will be at the heart of this role, and as such you will continually demonstrate the sharing of new idea, suggest opportunities and better ways of working.
Key Responsibilities:
What are we looking for?
As this is a Graduate scheme, you'll be educated to degree level in a relevant STEM Degree, with a keen interest in pursuing a career in Machine Learning.
You'll be provided with training and support throughout your career with us, so whilst the following criteria will help you thrive in role, they are not all absolute essentials.
- Inquisitive and observant with an ability to problem solve.
- Team player able to collaborate to identify problems and come up with effective solutions.
- Resilient with the determination to respond to the changing demands of the business.
- Excellent communicator, able to present both qualitative and quantitative data
- Proficient in both coding and debugging, with a desire to develop further skills.
Our ideal candidate will have experience utilising statistical and machine learning techniques as well as experience with SQL and relational databases.
This role will be based from our Newcastle office. We work on a hybrid basis with 3 days in the office per week.
What you can expect from the process
1. Apply online with a resume
2. Complete screening and video interview
3. If successful at video interview stage, you will be invited to attend an assessment centre
4. Successful candidates will join us in October 2025
Here at Sage, we are committed to inclusivity for all, so if there any adjustments that would help you perform at your best in the interview, or on the job, please email us
Function:
Product
Country:
United Kingdom
Office Location:
Newcastle
Work Place type:
Hybrid
Advert
Working at Sage means you're supporting millions of small and medium sized businesses globally with technology to work faster and smarter. We leverage the future of AI, meaning business owners spend less time doing routine tasks, like entering invoices and generating reports, and more time pursuing their ambitions.
Our colleagues are the best of the best. It's why we were awarded 2024 Best Places to Work by Glassdoor. Because to achieve extraordinary outcomes, we need extraordinary teams. This means infusing Sage with people who knock down barriers, continuously innovate, and want to experience their potential.
Learn more about working at Sage:sage.com/en-gb/company/careers/working-at-sage/
Watch a video about our culture:youtube.com/watch?v=qIoiCpZH-QE
We celebrate individuality and welcome you to join us if you embrace all backgrounds, identities, beliefs, and ways of working. If you need support applying, reach out
Learn more about DEI at Sage:sage.com/en-gb/company/careers/diversity-equity-and-inclusion/
Equal Employment Opportunity (EEO)
Sage is committed to Equal Employment Opportunity and providing reasonable accommodations to applicants with physical and/or mental disabilities.
In order to provide equal employment and advancement opportunities to all individuals, employment decisions at Sage will be based on merit, qualifications, and abilities. Sage does not discriminate in employment opportunities or practices on the basis of race, color, religion, sex, national origin, age, protected disability, veteran status, sexual orientation, gender identity, genetic information, or any other characteristic protected by applicable law.
Audio Machine Learning Engineer

Posted 5 days ago
Job Viewed
Job Description
Apply ( Location:Glasgow, United Kingdom
+ Area of InterestEngineer - Software
+ Job TypeProfessional
+ Technology InterestSoftware Development
+ Job Id14440
Please note this posting is to advertise potential job opportunities. This exact role may not be open today, but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens.
**Who are we?**
The BabbleLabs team, part of Cisco WebEx. We are a dedicated bunch with strong backgrounds in Electrical Engineering, Machine Learning, Speech Processing and Computer Science. Our areas of expertise include speech enhancement, speech recognition, speech synthesis, and computer vision. But what sets our team apart from the crowd, is our vibrant and unwavering pursuit of excellence
**Overview:**
We are seeking a dedicated and innovative Machine Learning expert to join our Audio AI team. As a Speech/Audio Machine Learning Engineer, you will play a crucial role in developing pioneering audio software solutions, using machine learning techniques to enhance audio processing and analysis. You will work closely with a multidisciplinary team of engineers, data scientists, and audio experts to build groundbreaking products that push the boundaries of audio technology. This is a unique opportunity to contribute to the development of next-generation audio software and make a significant impact in the industry.
**Key Responsibilities:**
+ Collaborate with cross-functional teams to design and implement machine learning models and algorithms for audio processing, analysis, and enhancement.
+ Train, validate, and fine-tune machine learning models for various applications.
+ Evaluate and benchmark the performance of machine learning models using appropriate metrics and statistical techniques.
+ Collaborate with software engineers to integrate machine learning algorithms into audio software products and ensure seamless functionality and performance.
+ Debug and solve issues related to machine learning algorithms and audio software applications.
+ Document software development processes, algorithms, and experiments, and communicate findings and recommendations to the team effectively.
**Our Minimum Qualifications for this Role:**
+ Ph.D. in relevant field with 0+ years or Masters in relevant field with 3+ years of experience in developing and deploying machine learning models for audio related applications.
+ Must have Strong programming skills in Python and Matlab, with experience in audio processing libraries (e.g., librosa, torch audio, or similar).
+ Must understand machine learning techniques, including deep learning architectures (e.g., CNNs, RNNs, GANs) and relevant frameworks (e.g., PyTorch).
+ Must be proficiency in data preprocessing, feature extraction, and data augmentation techniques for audio.
+ Expected to have strong problem-solving skills and ability to think creatively to devise innovative solutions to audio-related challenges is required.
**Our Preferred Qualifications for this Role:**
+ Familiarity with audio signal processing concepts, such as Fourier analysis, spectral modeling, and time-frequency representations is essential.
**Why Cisco?**
#WeAreCisco. We are all unique, but collectively we bring our talents to work as a team, to develop innovative technology and power a more inclusive, digital future for everyone. How do we do it? Well, for starters - with people like you!
Nearly every internet connection around the world touches Cisco. We're the Internet's optimists. Our technology makes sure the data traveling at light speed across connections does so securely, yet it's not what we make but what we make happen which marks us out. We're helping those who work in the health service to connect with patients and each other; schools, colleges, and universities to teach in even the most challenging of times. We're helping businesses of all shapes and sizes to connect with their employees and customers in new ways, providing people with access to the digital skills they need and connecting the most remote parts of the world - whether through 5G, or otherwise.
We tackle whatever challenges come our way. We have each other's backs, we recognize our accomplishments, and we grow together. We celebrate and support one another - from big and small things in life to big career moments. And giving back is in our DNA (we get 10 days off each year to do just that).
We know that powering an inclusive future starts with us. Because without diversity and a dedication to equality, there is no moving forward. Our 30 Inclusive Communities, that bring people together around commonalities or passions, are leading the way. Together we're committed to learning, listening, caring for our communities, whilst supporting the most vulnerable with a collective effort to make this world a better place either with technology, or through our actions.
So, you have colorful hair? Don't care. Tattoos? Show off your ink. Like polka dots? That's cool. Pop culture geek? Many of us are. Passion for technology and world changing? Be you, with us! #WeAreCisco
**#CollabFY25**
**Message to applicants applying to work in the U.S. and/or Canada:**
When available, the salary range posted for this position reflects the projected hiring range for new hire, full-time salaries in U.S. and/or Canada locations, not including equity or benefits. For non-sales roles the hiring ranges reflect base salary only; employees are also eligible to receive annual bonuses. Hiring ranges for sales positions include base and incentive compensation target. Individual pay is determined by the candidate's hiring location and additional factors, including but not limited to skillset, experience, and relevant education, certifications, or training. Applicants may not be eligible for the full salary range based on their U.S. or Canada hiring location. The recruiter can share more details about compensation for the role in your location during the hiring process.
U.S. employees haveaccess ( to quality medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, short and long-term disability coverage, basic life insurance and numerous wellbeing offerings.
Employees receive up to twelve paid holidays per calendar year, which includes one floating holiday (for non-exempt employees), plus a day off for their birthday. Non-Exempt new hires accrue up to 16 days of vacation time off each year, at a rate of 4.92 hours per pay period. Exempt new hires participate in Cisco's flexible Vacation Time Off policy, which does not place a defined limit on how much vacation time eligible employees may use, but is subject to availability and some business limitations. All new hires are eligible for Sick Time Off subject to Cisco's Sick Time Off Policy and will have eighty (80) hours of sick time off provided on their hire date and on January 1st of each year thereafter. Up to 80 hours of unused sick time will be carried forward from one calendar year to the next such that the maximum number of sick time hours an employee may have available is 160 hours. Employees in Illinois have a unique time off program designed specifically with local requirements in mind. All employees also have access to paid time away to deal with critical or emergency issues. We offer additional paid time to volunteer and give back to the community.
Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components. For quota-based incentive pay, Cisco typically pays as follows:
.75% of incentive target for each 1% of revenue attainment up to 50% of quota;
1.5% of incentive target for each 1% of attainment between 50% and 75%;
1% of incentive target for each 1% of attainment between 75% and 100%; and once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.
For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.
Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.
Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.
Senior Machine Learning Engineer

Posted 5 days ago
Job Viewed
Job Description
25WD8887
**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: 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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About the latest Senior machine learning engineer Jobs in United Kingdom !
Senior Machine Learning Engineer

Posted 5 days ago
Job Viewed
Job Description
25WD8887
**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: you an existing contractor or consultant with Autodesk?**
Please search for open jobs and apply internally (not on this external site).
Senior Machine Learning Engineer

Posted 5 days ago
Job Viewed
Job Description
25WD8887
**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: you an existing contractor or consultant with Autodesk?**
Please search for open jobs and apply internally (not on this external site).
Senior Machine Learning Engineer

Posted 5 days ago
Job Viewed
Job Description
25WD8887
**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.
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