At a Glance
- Tasks: Transform innovative ML research into real-world solutions for national security.
- Company: Fast-growing tech consultancy leading in MLOps and machine learning.
- Benefits: 25 days holiday, enhanced family leave, healthcare plan, and £500 learning budget.
- Other info: Hybrid working model with opportunities for personal brand development.
- Why this job: Join a mission-critical team shaping the future of ML systems.
- Qualifications: Degree in Computer Science or related field; strong Python and ML experience required.
The predicted salary is between 60000 - 80000 € per year.
Locations: Manchester, London, or Cheltenham (Hybrid)
Security Clearance: Gravitas is proud to be partnering with a fast-growing, specialist technology consultancy that is at the forefront of MLOps and machine learning innovation. Our client works across the full ML lifecycle combining cutting-edge research with production-ready engineering to deliver secure, scalable solutions. This is an exciting opportunity to join a company shaping the future of ML systems in critical environments.
We’re looking for an ML / MLOps Research Engineer to work across research, prototyping, and production ML systems for national security customers. This is a hands-on, end-to-end role where you’ll take ideas from research literature and turn them into robust, real-world solutions, working closely with both internal teams and external stakeholders.
- Work closely with clients to understand requirements and deliver impactful ML solutions
- Design, build, and deploy production-grade ML systems with strong engineering standards
- Translate cutting-edge ML research into repeatable, scalable implementations
- Contribute to agile ceremonies including sprint planning, retrospectives, and code reviews
- Deliver demos, workshops, and training sessions to stakeholders
- Maintain high standards of documentation, testing, and code quality
You will also have dedicated time to R&D and thought leadership, contributing to blogs, videos, and open-source initiatives, helping shape your presence in the wider MLOps community.
Requirements:
- Degree in Computer Science, Mathematics, or a related field (or equivalent experience)
- Strong Python programming skills
- Proven experience in ML research engineering, applying theory to real-world problems
- Experience working in agile environments and directly with customers
- Strong grounding in Git, Linux/Unix, and Docker
- Passion for machine learning, MLOps, and open-source ecosystems
- Knowledge of ML security and safety considerations
- Understanding of ML model internals
- Exposure to modern ML tooling (e.g. LLMs, vector databases, retrieval systems)
Benefits:
- 25 days holiday, rising to 30 with service
- Enhanced family leave (maternity, paternity, adoption)
- Healthcare cash plan
- £500 annual learning & development budget + AI tooling allowance
- Cycle to Work scheme
- Regular company socials and events
Hybrid working model (typically 3 days in-office). Spend extended periods on-site (potentially up to 5 days/week depending on project demands). Work on mission-critical national security projects. Develop at the cutting edge of machine learning and MLOps. Build both your technical expertise and personal brand within the industry.
If you’re an SC-cleared ML engineer looking to work at the intersection of research and real-world impact, we’d love to hear from you.
ML Research Engineer - SC in Manchester employer: Gravitas Recruitment Group (Global) Ltd
Join a pioneering technology consultancy that is redefining the landscape of machine learning and MLOps within national security. With a strong emphasis on employee growth, you will benefit from a generous learning and development budget, enhanced family leave, and a vibrant work culture that encourages collaboration and innovation. Enjoy the flexibility of a hybrid working model while contributing to mission-critical projects that make a real-world impact.
Contact Detail:
Gravitas Recruitment Group (Global) Ltd Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land ML Research Engineer - SC in Manchester
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the ML and MLOps community. Attend meetups, webinars, or conferences to meet potential employers and learn about job openings that might not be advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, research papers, or any contributions to open-source initiatives. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex ML concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you a better chance of landing that dream role.
We think you need these skills to ace ML Research Engineer - SC in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the ML Research Engineer role. Highlight your Python programming skills, experience in ML research engineering, and any relevant projects you've worked on.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about machine learning and MLOps. Share specific examples of how you've applied your knowledge to real-world problems, especially in agile environments.
Showcase Your Projects:If you have any personal or open-source projects related to ML or MLOps, make sure to mention them. This is a great way to demonstrate your hands-on experience and passion for the field.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in national security.
How to prepare for a job interview at Gravitas Recruitment Group (Global) Ltd
✨Know Your ML Stuff
Make sure you brush up on the latest trends and technologies in machine learning and MLOps. Be ready to discuss how you've applied your knowledge in real-world scenarios, especially in national security contexts. This shows you're not just a theorist but someone who can deliver practical solutions.
✨Showcase Your Hands-On Experience
Prepare to talk about specific projects where you've designed, built, or deployed ML systems. Highlight your experience with Python, Git, Docker, and any agile methodologies you've used. Real examples will help you stand out and demonstrate your capability to handle the role's responsibilities.
✨Engage with Stakeholders
Since this role involves working closely with clients, think about how you can showcase your communication skills. Prepare to discuss how you've gathered requirements and delivered impactful solutions in previous roles. Being able to articulate your process will show that you can bridge the gap between technical and non-technical stakeholders.
✨Emphasise Your Passion for R&D
This position offers dedicated time for research and thought leadership, so be ready to share your ideas on ML innovations. Discuss any contributions you've made to open-source projects or your involvement in the MLOps community. This will highlight your commitment to continuous learning and your enthusiasm for the field.
