At a Glance
- Tasks: Develop and improve machine learning methods for nuclear engineering applications.
- Company: Amentum focuses on innovative solutions in advanced reactors and nuclear science.
- Benefits: Enjoy flexible working hours, remote options, and opportunities for skill development.
- Why this job: Join a diverse team tackling complex problems with cutting-edge technology in a supportive culture.
- Qualifications: Undergraduate degree in a quantitative field; proficiency in Python and ML frameworks required.
- Other info: Open to candidates seeking flexible work arrangements and those who may not meet all qualifications.
The predicted salary is between 36000 - 60000 £ per year.
Amentum is currently recruiting for a Machine Learning (ML) Engineer/Scientist to develop and improve ML methods/applications – particularly those involving Deep Learning (DL) – within the Advanced Reactors team. The spectrum of work of the team is very broad with a strong focus on computational analysis in support of various nuclear reactor types, both fission and fusion. We are looking for an enthusiastic and innovative person to further develop our capability in ML methods to solve complex scientific and engineering problems and grow our technical offering in this rapidly evolving field.
This role will present excellent opportunities for the continual development of skills and experience in ML, particularly as applied to nuclear engineering; also, the potential to lead technical developments and collaborations, and the teams responsible for their implementation.
The role will be based at our Birchwood office with the opportunity to travel to client sites, as required. Some home / remote working is also available, and consideration will also be given in respect to part time & flexible working hours.
Key responsibilities:
- Developing ML applications, typically in the context of nuclear science and engineering
- Cooperation with customers to plan ML applications and gather training data
- Development of code (e.g. in Python/PyTorch/TensorFlow) for data processing and training of Artificial Neural Networks (ANNs)
- Working together with the team and customers to identify opportunities for exploitation of ML approaches
- Providing training in the area of ML to members of the team
Essential Qualifications/Experience
- An undergraduate degree in mathematics, physics, engineering, or a related quantitative discipline
- Proficiency in Python programming and associated libraries (e.g., numpy, pandas, scikitlearn, matplotlib)
- Familiarity with DL frameworks such as PyTorch or TensorFlow.
- Familiarity with DL architectures including Convolutional Neutral Networks and Transformer Networks
- Ability to think innovatively, solve complex problems, and be able to quickly absorb new technical skills
- Self-motivated and with the ability to work both independently and collaboratively
Desirable Qualifications/Experience
- A postgraduate degree in ML with a first degree in physics or related disciplines
- Experience of developing ML models for scientific/engineering applications
- Experience with uncertainty quantification methods and how they can be applied to ML systems
- Knowledge of advanced ML/DL systems such as Reinforcement Learning (RL), Physics Informed Neural Networks (PINNs), Automated Machine Learning (AutoML), and AI trustworthiness/explainable AI
- Knowledge of training/deploying ML models using cloud compute platforms (e.g. AWS, Azure, GCP)
- Experience of contributing to nuclear science/engineering projects
- Journal/conference publications relating to ML and/or nuclear science
Our Culture:
Our values stand on a foundation of safety, integrity, inclusion and diversity. We put people at the heart of our business, and we genuinely believe that we all succeed by supporting one another through our culture of caring. We value positive mental health and a sense of belonging for all employees.
We aim to embed inclusion and diversity in everything we do. We know that if we are inclusive, we\’re more connected, and if we are diverse, we\’re more creative. We accept people for who they are, regardless of age, disability, gender identity, gender expression, marital status, mental health, race, faith or belief, sexual orientation, socioeconomic background, and whether you\’re pregnant or on family leave. This is reflected in our wide range of Global Employee Networks centered on inclusion and diversity.
We partner with VERCIDA to help us attract and retain diverse talent. For greater online accessibility, please visit to view and access our roles. As a Disability Confident employer, we will interview all disabled applicants who meet the minimum criteria for a vacancy. We welcome applications from candidates who are seeking flexible working and from those who may not meet all the listed requirements for a role.
If you require further support or reasonable adjustments with regards to the recruitment process (for example, you require the application form in a different format), please contact the team
Amentum is proud to be an Equal Opportunity Employer. Our hiring practices provide equal opportunity for employment without regard to race, sex, sexual orientation, pregnancy (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, ancestry, United States military or veteran status, color, religion, creed, marital or domestic partner status, medical condition, genetic information, national origin, citizenship status, low-income status, or mental or physical disability so long as the essential functions of the job can be performed with or without reasonable accommodation, or any other protected category under federal, state, or local law. Learn more about your rights under Federal laws and supplemental language at Labor Laws Posters.
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Machine Learning Engineer/Scientist employer: Amentum
Contact Detail:
Amentum Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer/Scientist
✨Tip Number 1
Familiarise yourself with the latest advancements in machine learning, particularly in deep learning frameworks like PyTorch and TensorFlow. This will not only enhance your technical knowledge but also demonstrate your commitment to staying updated in this rapidly evolving field.
✨Tip Number 2
Engage with the nuclear engineering community by attending relevant conferences or webinars. Networking with professionals in the field can provide insights into current challenges and opportunities, making you a more attractive candidate.
✨Tip Number 3
Showcase any personal projects or contributions to open-source ML applications on platforms like GitHub. This practical experience can set you apart from other candidates and highlight your ability to apply theoretical knowledge in real-world scenarios.
✨Tip Number 4
Prepare to discuss how you've approached complex problem-solving in past experiences. Being able to articulate your thought process and innovative solutions will resonate well with the interviewers looking for someone who can tackle scientific and engineering challenges.
We think you need these skills to ace Machine Learning Engineer/Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, particularly with deep learning frameworks like PyTorch or TensorFlow. Include specific projects or roles that demonstrate your proficiency in Python and any experience with nuclear science or engineering.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with their focus on computational analysis in nuclear engineering and mention any innovative projects you've worked on that relate to ML applications.
Showcase Your Skills: Include a section in your application that showcases your technical skills, especially those mentioned in the job description such as familiarity with convolutional neural networks, reinforcement learning, and cloud computing platforms. Use bullet points for clarity.
Highlight Collaborative Experience: Since the role involves working with teams and customers, emphasise any past experiences where you successfully collaborated on projects. This could include training others in ML techniques or working on interdisciplinary teams to solve complex problems.
How to prepare for a job interview at Amentum
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in Python and relevant libraries like numpy and pandas. Highlight any projects where you've used PyTorch or TensorFlow, especially in the context of deep learning applications.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your ability to think innovatively and solve complex problems. Prepare examples from your past experiences where you successfully tackled challenging issues, particularly in scientific or engineering contexts.
✨Understand the Industry Context
Familiarise yourself with the basics of nuclear science and engineering, as well as how machine learning can be applied in this field. Being able to discuss the implications of ML in nuclear reactors will show your enthusiasm and understanding of the role.
✨Emphasise Collaboration and Communication
Since the role involves working with customers and team members, be ready to discuss your experience in collaborative environments. Share examples of how you've effectively communicated technical concepts to non-technical stakeholders.