Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the design and development of innovative AI solutions for educational products.
- Company: Join Cambridge University Press & Assessment, a leader in academic publishing and assessment.
- Benefits: Competitive salary, 28 days leave, hybrid work, and professional growth opportunities.
- Why this job: Shape the future of AI in education and make a real impact on learning solutions.
- Qualifications: Master's degree in machine learning or AI, with 5+ years of industry experience.
- Other info: Dynamic team environment with opportunities to mentor and lead projects.
The predicted salary is between 64490 - 86255 £ per year.
Salary: £64,490 - £86,255
Location: Cambridge - Triangle/Hybrid (2 days per week in the office)
Contract: Permanent
Hours: Full Time (35 hours per week)
Shape the future of AI-powered learning solutions with Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation, and a proud part of the University of Cambridge. This is an exciting opportunity for Machine Learning Research Engineers to join our innovative Applied AI team. You will contribute to developing, deploying, and maintaining cutting-edge AI capabilities that drive the success of Cambridge English's products and services.
About The Role
As a Senior Machine Learning Research Engineer, you will play a pivotal role in driving innovation and advancing AI-powered solutions that enhance Cambridge English products. Your expertise will contribute to the continuous improvement of existing models and the development of cutting-edge technologies that address future business needs.
- Technical lead in designing full-cycle AI solutions, including data collection and pipelines for reusable analysis, and monitoring and maintenance regimes for continuous development.
- Research, develop, deploy, and maintain scalable AI-powered solutions for Cambridge English products.
- Estimate time, cost and outcomes of technical solutions, and manage risks to ensure prompt delivery.
- Collaborate with product, validation, and business teams to transform capabilities into impactful product features, while setting appropriate expectations.
- Plan work and resources, including adoption of new tools, to ensure that the machine learning team stay at the forefront of AI and machine learning trends and position Cambridge as a leader in AI-driven.
- Mentor junior team members.
About You
To thrive in this role, you will have a passion for AI-driven innovation and the ability to turn ideas into scalable solutions.
- Master's degree (or equivalent qualification and experience) in machine learning or AI/computer science with substantial machine learning component.
- Proven hands-on industry experience (minimum 5 years, not including internships) in designing, developing, and deploying machine learning solutions in production environments.
- Strong track record of successfully translating academic research into real-world applications and products.
- Ability to estimate suitability of candidate ML, NLP, LLM, and GenAI technologies for specific scenarios, estimate the time, cost and outcomes of different solutions, and apply effective risk management to ensure prompt delivery.
- Deep experience in Python and PyTorch/TensorFlow.
- Industry experience in building scalable, production-grade AI services and automated data pipelines with tools like Docker, Kubernetes, and cloud platforms (e.g., AWS).
- Proven ability to collaborate effectively in Agile/Scrum teams and contribute to cross-functional projects.
- Exceptional communication skills for articulating complex technical concepts to both technical and non-technical stakeholders, translating business requirements into technical solutions.
- Proactiveness in communicating issues and suggesting solutions.
- Stay current with state-of-the-art research and applying emerging AI techniques to solve business problems.
- Ability to supervise a sub-team and mentor junior colleagues (can be developed on-the-job).
Desirable
- PhD degree or equivalent qualifications and experience in computer science, machine learning, artificial intelligence, or a closely related field.
- Experience in applying Natural Language Processing and/or Speech Technology techniques to solve real-world problems.
- Experience in applying machine learning to educational assessment and learning solutions.
- Experience in leading research initiatives, contributing to patents, or publishing papers in machine learning or related AI fields.
Rewards And Benefits
28 days annual leave plus
Senior Machine Learning Research Engineer - 6840 in Cambridge employer: Cambridge University Press & Assessment
Contact Detail:
Cambridge University Press & Assessment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Research Engineer - 6840 in Cambridge
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's GitHub repos or a personal website, let your work speak for itself. This is your chance to shine!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions and be ready to discuss your past projects in detail. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team at Cambridge University Press & Assessment.
We think you need these skills to ace Senior Machine Learning Research Engineer - 6840 in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Senior Machine Learning Research Engineer. Highlight your relevant experience in AI and machine learning, and don’t forget to showcase any projects that demonstrate your ability to turn ideas into scalable solutions.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI-driven innovation and how your skills align with our mission at Cambridge University Press & Assessment. Keep it concise but impactful!
Showcase Your Technical Skills: We want to see your technical prowess! Be sure to mention your experience with Python, PyTorch, TensorFlow, and any other tools you've used in building scalable AI services. Real-world applications are key, so share specific examples.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Cambridge University Press & Assessment
✨Know Your Stuff
Make sure you brush up on your machine learning concepts and the latest AI trends. Be ready to discuss your past projects in detail, especially those that involved Python, PyTorch, or TensorFlow. This role is all about innovation, so showing your passion for AI-driven solutions will definitely impress.
✨Showcase Your Collaboration Skills
Since this position involves working with cross-functional teams, be prepared to share examples of how you've successfully collaborated in Agile/Scrum environments. Highlight any experiences where you translated complex technical concepts for non-technical stakeholders, as communication is key in this role.
✨Prepare for Technical Questions
Expect some deep-dive technical questions during your interview. Brush up on your knowledge of scalable AI solutions, data pipelines, and risk management strategies. Being able to estimate time, cost, and outcomes for different ML solutions will show that you can think critically and strategically.
✨Demonstrate Your Mentorship Abilities
As a senior engineer, you'll likely be mentoring junior team members. Share any past experiences where you've guided others or led a team. This will not only showcase your leadership skills but also your commitment to fostering growth within the team.
