At a Glance
- Tasks: Develop and enhance MLOps capabilities for cutting-edge Machine Learning projects.
- Company: Leading engineering and technology organisation focused on innovative AI solutions.
- Benefits: Competitive daily rate, hybrid working, and strong potential for contract extension.
- Other info: Opportunity to work in secure environments with excellent career growth.
- Why this job: Join a dynamic team and work with the latest in AI and cloud technologies.
- Qualifications: Experience in MLOps, Docker, Kubernetes, and cloud technologies required.
The predicted salary is between 60000 - 80000 £ per year.
MLOps Engineer contract opportunity working on cutting-edge Machine Learning and AI capabilities. £512 per day via Umbrella | Initial contract until September 2026 with strong extension potential through to 2027. Hybrid working – Portsmouth onsite 2 days every other week, remainder remote. SC Clearance required.
Work across cloud, DevSecOps, Kubernetes and ML platforms.
ABOUT THE CLIENT
Our client is a leading engineering and technology organisation delivering innovative solutions within highly secure and complex environments. They are investing heavily in AI, Machine Learning and cloud technologies to support the development of next-generation capabilities. Due to continued programme growth, they are looking for an experienced MLOps Engineer to help build and mature their MLOps capability across multiple projects.
THE MLOPS ENGINEER ROLE
As an MLOps Engineer, you will play a key role in developing and enhancing MLOps capabilities across a range of Machine Learning use cases. You will be responsible for building scalable, secure and automated deployment pipelines while supporting ML workloads within complex and highly secure environments. You will:
- Develop and maintain MLOps platforms and CI/CD pipelines
- Build and manage containerised solutions using Docker and Kubernetes
- Support DevSecOps practices including automation, integration and security scanning
- Develop scripting and automation solutions using Python, Bash and Linux
- Work with cloud technologies including AWS and Google Cloud
- Support ML tooling including MLFlow and Airflow
- Contribute to solutions operating within air-gapped environments
- Collaborate with software, data and ML engineering teams
MLOps Engineer Essential Skills
- Strong commercial experience in MLOps Engineering
- Experience with Docker and Kubernetes
- Strong knowledge of GitLab CI/CD and YAML pipelines
- Python and Bash scripting experience
- Experience implementing DevSecOps principles and automation
- AWS cloud experience
- Strong Linux administration and troubleshooting skills
- Understanding of Machine Learning concepts and workflows
- Eligible to obtain and maintain SC Clearance
Desirable Skills
- MLFlow experience
- Apache Airflow experience
- Google Cloud Platform (GCP) experience
- Experience working within secure or air-gapped environments
- Defence, National Security or highly regulated industry experience
To Be Considered: Please either apply through this advert or emailing me directly. For further information please call me: 07719051875.
Locations
MLOps Engineer in Hampshire, Portsmouth employer: Searchability
As a leading engineering and technology organisation, our client offers an exceptional work environment for MLOps Engineers, characterised by a strong commitment to innovation in AI and Machine Learning. With a hybrid working model based in Portsmouth, employees enjoy the flexibility of remote work while collaborating on cutting-edge projects in secure environments. The company fosters a culture of growth and development, providing ample opportunities for professional advancement and skill enhancement in a rapidly evolving field.
StudySmarter Expert Advice🤫
We think this is how you could land MLOps Engineer in Hampshire, Portsmouth
✨Get Involved in Open-Source Projects
Diving into open-source projects is a brilliant way to showcase your skills and connect with other developers in the community. Not only will you beef up your GitHub profile but you might also catch the eye of someone at Searchability who values hands-on experience over just theory.
✨Attend Local Tech Meetups
Tech meetups are gold mines for networking and discovering job opportunities, especially in the fast-paced world of software engineering. Check out local listings for events in your area and don’t shy away from introducing yourself. This could lead directly to a temporary position at Searchability!
✨Showcase Your Work Online
With temporary roles, it’s all about standing out in a short space of time. Create a portfolio website where you highlight your projects and skills. Talk about your code, and provide links to your GitHub repositories. This will not only demonstrate your abilities but will also make it easier for recruiters at Searchability to see what you bring to the table.
✨Leverage Temporary Job Boards
Don’t forget to check specialised job boards for temporary software development roles. Websites like We Work Remotely or Remote OK often list short-term gigs that can be a perfect fit. Apply directly through our website as well, making sure your application is sharp—temporary roles can move fast!
We think you need these skills to ace MLOps Engineer in Hampshire, Portsmouth
Some tips for your application 🫡
Show Off Your Tech Skills:Make sure your CV highlights your tech stack and any programming languages you’re proficient in. Include specifics about any frameworks or technologies you’ve worked with; they can make you stand out in the sea of applicants. It’s all about showing that you have the chops we need at Searchability!
Portfolio 2.0:Since you’re applying for a temporary gig, it’s super important to showcase a portfolio that highlights your best projects. Include links to GitHub or any personal projects that demonstrate what you can do in a real-world environment. This gives us a taste of your style and your problem-solving approach!
Keep It Brief and Relevant:With a temporary position, we want to see your ability to hit the ground running. Be concise in your CV and cover letter; stick to experiences that directly relate to the role. Highlight any previous temporary roles or freelance gigs that show your adaptability and quick learning!
Tailor Your Cover Letter:Don’t just send a generic cover letter. Personalise it for MLOps Engineer at Searchability! Mention why this temporary role excites you and how you see yourself contributing in the short run. Show us what you've got and why you're the one for this quick turn-around!
How to prepare for a job interview at Searchability
✨Nail the Technical Skills
For a software engineering role, you'll likely face technical questions or coding tasks during your interview. Brush up on the relevant programming languages and frameworks that Searchability uses, and don’t forget to practice some coding challenges on platforms like LeetCode or HackerRank. Showing your coding prowess can really make you stand out!
✨Prepare for System Design Questions
Even for a temporary role, having a grasp of system design principles can be crucial. Be ready to discuss how you would architect a software solution, including discussing trade-offs, scalability, and performance considerations. Having examples from previous projects can really show off your analytical thinking.
✨Demonstrate Your Adaptability
Since this is a temporary role, you'll want to emphasise your ability to hit the ground running. Highlight experiences where you quickly adapted to new technologies or teams. Let’s make it clear to the interviewers at Searchability that you can learn on the job and deliver results in a short timeframe!
✨Show Off Your Portfolio
Make sure to have a portfolio or GitHub ready showcasing your projects. Having tangible evidence of what you've done—be it personal projects, contributions to open-source, or previous work—can convey how capable you are. Tailor this for what might interest Searchability, so it's relevant and sparks conversation during your interview.
