At a Glance
- Tasks: Join us to innovate machine learning solutions for scientific imaging and analysis.
- Company: Be part of Oxford Instruments Andor, a leader in scientific technology.
- Benefits: Enjoy competitive salary, private medical insurance, and generous leave policies.
- Other info: Collaborate with experts and enjoy excellent career growth opportunities.
- Why this job: Make a real impact on scientific breakthroughs with cutting-edge technology.
- Qualifications: MSc in a relevant field and senior-level experience in software engineering and machine learning.
The predicted salary is between 60000 - 80000 £ per year.
Senior Machine Learning Software Engineer
Accelerate Scientific Discovery with Oxford Instruments Andor
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.
The Opportunity
We are seeking a Senior Machine Learning Software Engineer to join our software development team and help shape the future of intelligent image analysis within our world-class scientific products.
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 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.
What You Will Be Doing
Machine Learning Innovation
- 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.
Software Development
- 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.
What We're Looking For
Essential
Qualifications
- MSc in Computer Science, Data Science, Mathematics, Physics, Engineering or a related quantitative discipline, or equivalent industry experience.
Experience
- Senior-level 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.
Technical Knowledge
- 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 PyTorch and/or TensorFlow.
- 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.
Desirable
- 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 DevOps.
- Experience with cross-platform development (Windows and Mac).
- Exposure to cloud-based training workflows.
- Understanding of cybersecurity principles.
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.
Location & Eligibility
This permanent position is based at our headquarters in Belfast or remotely wihtin the UK.
Please note that Oxford Instruments Andor is unable to provide visa sponsorship for these roles. Applicants must have the right to live and work in the UK at the time of application.
Closing Date
Closing date for receipt of completed applications is midnight on Sunday 26th July 2026.
Why Join Oxford Instruments Andor?
At Oxford Instruments Andor, you'll work with talented colleagues on products that make a genuine difference to the scientific community and society as a whole.
You'll have the opportunity to:
- Work on challenging machine learning and computer vision problems.
- Contribute to products used by leading research institutions and industrial organisations worldwide.
- Collaborate with experts across software, optics, imaging and scientific disciplines.
- Develop your career within a global technology organisation committed to innovation and professional growth.
Our Benefits
Health & Wellbeing
- Private Medical Insurance (BUPA) for you and your dependants
- Employee Assistance Programme
- Mental Health First Aiders
- Income Protection
- Life Assurance and Personal Accident Insurance
- Occupational Health Service
- Company sick pay
- Two paid volunteering days per year
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
We Value Potential
We know that no candidate will meet every requirement listed. If you're excited by the opportunity and believe your skills, experience and passion could make an impact, we'd love to hear from you. We welcome applications from individuals whose experience may not align perfectly with every criterion.
Our Commitment to Inclusion
Oxford Instruments Andor is committed to creating a diverse, equitable and inclusive workplace where everyone feels valued and empowered to succeed. We welcome applications from all backgrounds and particularly encourage applications from groups who are currently underrepresented within our workforce.
Together, we're enabling the scientific discoveries that shape tomorrow.
Know someone at Oxford Instruments Andor?
Be sure to have them submit you as a referral prior to applying via our Talent Spotter referral scheme.
Note to recruitment agencies:
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.
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Senior Machine Learning Software Engineer in Bristol employer: Oxford Instruments
Oxford Instruments is an excellent employer, offering a dynamic work environment in Severn Beach, Bristol, where collaboration and innovation thrive. With a strong focus on professional growth, employees benefit from ongoing training and development opportunities, alongside a competitive salary and comprehensive benefits package that supports work-life balance. Join us to be part of a team that values your contributions and fosters a culture of excellence in technical documentation.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Software Engineer in Bristol
✨Join Local Tech Meetups
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We think you need these skills to ace Senior Machine Learning Software Engineer in Bristol
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.
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 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
✨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 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.
