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- Tasks: Develop software solutions for scientific computing using C#, Python, or C++.
- Company: Join a rapidly growing tech company focused on solving high-impact problems.
- Benefits: Enjoy an excellent salary and a culture of innovation and collaboration.
- Why this job: Work with top experts on cutting-edge projects in AI and scientific computing.
- Qualifications: Technical curiosity and experience in programming languages like C#, Python, or C++ required.
- Other info: Engage in cross-functional teamwork and influence platform development.
The predicted salary is between 43200 - 78000 £ per year.
Are you fascinated by the ever-evolving world of advanced technology and scientific discovery? Always chasing that next level of technical depth, and looking to be part of something meaningful and complex? This is your opportunity to work at the frontier—where software, physical systems, and intelligent automation meet.
This Software Engineer role sits at the intersection of disciplines, solving real-world challenges through high-performance computing, data-driven design, and intelligent process control. Use your skills in C#, Python, or C++ to build platforms that enable process optimization, predictive modelling, and complex system automation.
Learn from and collaborate with experts across engineering, data science, and machine learning. Contribute to highly technical software products that drive decision-making and innovation in a fast-moving, high-stakes environment. Work towards the most difficult challenges with a team of the brightest and the best. Engage with projects involving simulation, modelling, data architecture, and high-dimensional optimisation challenges.
Why this is a unique career move:
- Join a venture-backed, rapidly growing tech company solving tough, high-impact problems
- Be part of a highly talented, multi-disciplinary team pushing the limits of what software can achieve
- Gain exposure to AI, computational modelling, and scientific computing
- Influence the architecture and development of platforms used across R&D and production
- Enjoy excellent salary, a culture built around innovation and deep thinking
If you’re someone who’s technically curious, thrives on cross-functional collaboration, and wants to build tools that matter, this could be the perfect next step. Interested? Apply or drop me a note at callum@humand.co.uk and I’ll share more.
Software Engineer - Scientific Computing - 65k - ID39628 employer: Humand Talent
Contact Detail:
Humand Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer - Scientific Computing - 65k - ID39628
✨Tip Number 1
Familiarise yourself with the latest advancements in scientific computing and high-performance computing. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the field of software engineering, particularly those working with C#, Python, or C++. Attend relevant meetups or online forums to connect with like-minded individuals and learn about potential opportunities.
✨Tip Number 3
Showcase your problem-solving skills by working on personal projects that involve simulation, modelling, or data-driven design. Having tangible examples of your work can set you apart from other candidates.
✨Tip Number 4
Prepare for technical interviews by brushing up on algorithms and data structures, as well as understanding the principles of AI and machine learning. Being well-prepared will boost your confidence and demonstrate your commitment to the role.
We think you need these skills to ace Software Engineer - Scientific Computing - 65k - ID39628
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in software engineering, particularly with C#, Python, or C++. Emphasise any projects that involved high-performance computing, data-driven design, or intelligent process control.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for technology and scientific discovery. Mention specific examples of how you've solved complex problems in previous roles and express your enthusiasm for working at the intersection of software and science.
Highlight Technical Skills: Clearly list your technical skills related to the job description. Include programming languages, tools, and methodologies you are proficient in, especially those mentioned in the job posting like AI, computational modelling, and simulation.
Showcase Collaborative Experience: Since the role involves cross-functional collaboration, include examples of past teamwork experiences. Highlight how you’ve worked with engineers, data scientists, or other professionals to achieve project goals.
How to prepare for a job interview at Humand Talent
✨Showcase Your Technical Skills
Be prepared to discuss your experience with C#, Python, or C++. Bring examples of projects where you've applied these languages, especially in high-performance computing or data-driven design.
✨Demonstrate Problem-Solving Abilities
Expect to face real-world challenges during the interview. Practice explaining your thought process when tackling complex problems, particularly those related to simulation, modelling, or optimisation.
✨Highlight Collaborative Experiences
This role emphasises cross-functional collaboration. Share specific instances where you've worked with teams from different disciplines, such as engineering, data science, or machine learning, to achieve a common goal.
✨Express Your Curiosity and Passion
Convey your enthusiasm for scientific discovery and advanced technology. Discuss how you stay updated on industry trends and your eagerness to learn and grow within the field of scientific computing.
