At a Glance
- Tasks: Develop and deploy advanced machine learning solutions for image analysis and processing.
- Company: Join Oxford Instruments Andor, a leader in scientific imaging technology.
- Benefits: Enjoy competitive salary, generous leave, and career development opportunities.
- Other info: Collaborative environment with opportunities for mentorship and technical leadership.
- Why this job: Make a real impact on scientific breakthroughs with cutting-edge technology.
- Qualifications: Experience in software engineering and machine learning; strong programming skills required.
The predicted salary is between 63000 - 77000 £ per year.
This is a senior individual contributor role for an experienced engineer who is passionate about applying machine learning and computer vision techniques to solve complex real-world problems.
You will act as the technical expert for machine learning within the Imaris team, researching, developing and deploying advanced ML solutions that directly enhance our image analysis, image processing, object detection and segmentation capabilities.
Working at the intersection of software engineering, machine learning and scientific imaging, you'll have the opportunity to tackle highly challenging problems involving large multidimensional datasets, cutting‑edge algorithms and high‑performance computing environments.,
- Design, develop and maintain robust software solutions using modern software engineering practices.
- Integrate machine learning algorithms into high-performance desktop applications.
- Contribute to the wider C++ application architecture and codebase.
- Participate in code reviews and contribute to development best practices.
- Performance & Optimisation
- Profile and optimise model execution for CPU and GPU acceleration.
- Ensure efficient processing of large-scale 3D and 4D imaging datasets.
- Develop scalable and maintainable solutions suitable for production environments.
- Technical Leadership
- Provide technical guidance, mentoring and support to other software engineers and test team members.
- Contribute to technical investigations and architectural decisions.
- Share knowledge and promote engineering excellence across the team.
- Collaboration
- Work closely with software engineers, scientists, product managers and domain experts.
- Support product development from concept through to deployment.
- Occasionally travel to other Oxford Instruments sites and customer locations when required.
BSc / MSc in Computer Science, Data Science, Mathematics, Physics, Engineering or a related quantitative discipline, or equivalent industry experience., Experience in software engineering, machine learning development or advanced applied research.
- Proven experience delivering machine learning projects from concept through to production deployment.
- Strong software development background with object‑oriented design principles.
- Experience researching, evaluating and implementing ML solutions for real-world business or scientific applications.
- Strong hands‑on programming experience., Deep understanding of machine learning theory, mathematics and image processing principles.
- Strong knowledge of modern deep learning architectures including CNNs, U‑Net and related computer vision frameworks.
- Production‑level experience with Py Torch and/or Tensor Flow.
- Experience building, training, evaluating and deploying machine learning models.
- Strong understanding of Python scientific and machine learning ecosystems.
- Expertise in object‑oriented software design and development.
- Ability to independently research and implement innovative solutions to complex technical challenges., Research experience or publications in Computer Vision, Biomedical Image Analysis or Deep Learning.
- Experience working with multidimensional image data, volumetric datasets or large‑scale imaging systems.
- Experience deploying ML models into production environments.
- Knowledge of C++ software development.
- Familiarity with Git and Azure Dev Ops.
- Experience with cross‑platform development (Windows and Mac).
- Exposure to cloud‑based training workflows.
- Understanding of cybersecurity principles.
- Research, develop and deploy advanced machine learning solutions for image analysis, image processing, object detection and segmentation.
- Evaluate technical challenges and determine the most effective ML approach, whether developing custom models or adapting state‑of‑the‑art solutions.
- Explore emerging technologies and techniques to continuously improve product capabilities.
- Money & Lifestyle
- Competitive salary
- 6% employer pension contribution
- Share Incentive Plan
- Leave Purchase Scheme
- Cycle to Work Scheme
- Car Salary Exchange Scheme
- Technology Purchase Scheme
- Employee Discount Scheme
- Free On-site Parking
- Career Development
- Professional qualification support
- Accredited learning and development programmes
- Career progression opportunities across the Oxford Instruments Group
- Long Service Awards
- Work-Life Balance
- 187.5 hours annual leave plus 9 customary holidays
- Early finish every Friday
- Enhanced maternity and paternity pay
- Bereavement leave
About You
You’ll thrive in this role if you
- Enjoy solving complex technical challenges.
- Are naturally curious and passionate about innovation.
- Take ownership and accountability for delivering high-quality solutions.
- Enjoy collaborating with multidisciplinary teams.
- Can translate research concepts into robust, production-ready software.
- Continuously seek opportunities to learn and improve.
- Are motivated by seeing your work contribute to meaningful scientific advancements.
At Oxford Instruments Andor we are dedicated to enabling the world’s greatest scientific breakthroughs.
Our cutting‑edge imaging, spectroscopy and microscopy technologies are helping researchers develop life‑saving treatments, explore deeper into space and advance sustainable energy solutions.
As a global leader in high‑performance light measurement technology, we combine expertise in sensors, electronics, optics and software to deliver industry‑leading solutions to customers in over 55 countries worldwide.
Guided by our core values of Inclusive, Innovative, Trusted and Purposeful, we strive to create technologies that make a meaningful difference to science and society.
Oxford Instruments Andor operates a Preferred Supplier List and does not accept unsolicited agency CVs. We are not responsible for fees associated with unsolicited submissions.
#J-18808-Ljbffr
Machine Learning Software Engineer / Senior Machine Learning Software Engineer employer: Oxford Instruments plc
Oxford Instruments Plasma Technology is an exceptional employer, offering a dynamic work environment in Severn Beach, Bristol, where innovation meets compliance. With a strong focus on employee development, we provide ample opportunities for growth and learning, alongside a collaborative culture that values each team member's contributions. Our commitment to maintaining high regulatory standards ensures that you will be part of a team dedicated to excellence and safety in cutting-edge technology.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Software Engineer / Senior Machine Learning Software Engineer
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Oxford Instruments plc or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Oxford Instruments plc.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Oxford Instruments plc.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Oxford Instruments plc that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Machine Learning Software Engineer / Senior Machine Learning Software Engineer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Oxford Instruments plc.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Oxford Instruments plc and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Oxford Instruments plc
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Oxford Instruments plc uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
