At a Glance
- Tasks: Design and deploy cutting-edge ML systems for national security projects.
- Company: Fast-growing tech consultancy leading in MLOps and machine learning innovation.
- Benefits: Competitive salary, equity options, hybrid work, and opportunities for professional growth.
- Other info: Dynamic role with hands-on experience and collaboration with diverse teams.
- Why this job: Join a team shaping the future of ML in critical environments.
- Qualifications: Experience in ML research and production engineering required.
The predicted salary is between 45000 - 80000 € per year.
Locations: Manchester, London, or Cheltenham (Hybrid)
Salary: £45,000 – £80,000 + Equity
Security Clearance: Minimum SC required
About the Role
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. With strong growth in recent years, they are expanding their team to support high-impact national security programmes. This is an exciting opportunity to join a company shaping the future of ML systems in critical environments.
The Opportunity
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.
Key Responsibilities
- 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
- Stay up to date with emerging technologies and share knowledge with the wider team
You will also have dedicated time to R
ML Research Engineer - SC employer: Gravitas Recruitment Group (Global) Ltd
Join a dynamic and innovative technology consultancy that prioritises employee growth and collaboration in the heart of Manchester, London, or Cheltenham. With a strong focus on national security projects, we offer competitive salaries, equity options, and a hybrid work model that fosters a supportive and inclusive culture. Our commitment to cutting-edge research and real-world applications ensures that you will be at the forefront of machine learning advancements while enjoying ample opportunities for professional development.
Contact Detail:
Gravitas Recruitment Group (Global) Ltd Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land ML Research Engineer - SC
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects and contributions. We recommend using platforms like GitHub to share your work, as it gives potential employers a glimpse of your coding style and problem-solving abilities.
✨Tip Number 3
Prepare for interviews by practising common ML scenarios and technical questions. We suggest doing mock interviews with friends or using online resources to get comfortable discussing your thought process and solutions.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace ML Research Engineer - SC
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the ML Research Engineer role. Highlight relevant experience in MLOps and machine learning, and don’t forget to showcase any projects that demonstrate your skills in delivering impactful ML solutions.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about ML and how your background aligns with our mission at StudySmarter. Be sure to mention specific experiences that relate to the key responsibilities outlined in the job description.
Showcase Your Technical Skills:In your application, be sure to highlight your technical skills, especially those related to designing and deploying production-grade ML systems. Mention any tools or frameworks you’re familiar with, as this will show us you’re ready for the hands-on nature of the role.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. This way, we can easily track your application and ensure it gets the attention it deserves. Plus, it’s a great way to stay updated on your application status!
How to prepare for a job interview at Gravitas Recruitment Group (Global) Ltd
✨Know Your ML Basics
Make sure you brush up on your machine learning fundamentals. Understand key concepts, algorithms, and the latest trends in MLOps. Being able to discuss these topics confidently will show that you're not just familiar with the theory but can also apply it practically.
✨Showcase Your Projects
Prepare to talk about your previous projects, especially those related to ML systems. Be ready to explain your role, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills, which are crucial for this role.
✨Understand Their Needs
Research the company and its focus on national security. Think about how your skills can contribute to their mission. Tailoring your answers to align with their goals will show that you’re genuinely interested and invested in the role.
✨Engage in Agile Discussions
Since the role involves agile ceremonies, be prepared to discuss your experience with agile methodologies. Share examples of how you've contributed to sprint planning or retrospectives in the past. This will highlight your teamwork and adaptability, which are key in a fast-paced environment.
