At a Glance
- Tasks: Develop and optimise AI models for real-world applications in defence and security.
- Company: Innovative UK tech company specialising in AI and Machine Learning solutions.
- Benefits: Competitive salary, flexible working options, and a supportive culture.
- Other info: Exciting career growth opportunities in a dynamic environment.
- Why this job: Join a team pushing the boundaries of AI technology and make a real impact.
- Qualifications: Strong Python skills and experience with Machine Learning frameworks.
Senior MLOps Engineer
Location: West London Working arrangement: Predominantly office and customer-site based, with some remote working available
Employment: Permanent, full-time
MFK Recruitment is recruiting a Senior MLOps Engineer for an innovative UK technology company developing advanced Artificial Intelligence and Machine Learning solutions for defence, security and other demanding real-world environments.
The company specialises in computer vision, perception and autonomy, combining modern deep learning with neuroscience-inspired technology to create AI systems that are accurate, robust and reliable.
MFK Recruitment has successfully recruited four Engineers to this company over the past five years, and all four are still with the business.
This speaks volumes about the company’s culture, technical challenges and long-term opportunities.
Senior MLOps Engineer role
The Senior MLOps Engineer will develop and improve the infrastructure that takes advanced AI and computer vision models from research through to reliable production deployment.
You will bridge the gap between Machine Learning research and operational delivery, ensuring models can be trained efficiently, deployed reliably and monitored effectively.
This is a hands-on engineering role covering distributed training, experiment tracking, model registries, containerised deployments, inference optimisation and production monitoring.
You will work with cloud platforms and edge devices, including GPU-accelerated NVIDIA Jetson systems.
The position is predominantly office and customer-site based in West London, although some remote working will be available.
The company is happy to consider candidates with varying levels of experience, with the salary offered reflecting the successful candidate’s technical background and level of seniority.
- Senior MLOps Engineer responsibilities
- Develop distributed training pipelines for large-scale model development.
- Implement and manage Machine Learning experiment-tracking and model-registry infrastructure.
- Optimise models for production using inference acceleration, quantisation and pruning.
- Build containerised deployment pipelines for cloud, x86 and edge-device architectures.
- Develop and maintain CI/CD pipelines for automated testing, building and deployment.
- Manage GPU-accelerated edge deployment and video-analytics infrastructure.
- Develop event-driven processing systems.
- Work closely with AI Engineers, Software Engineers and customers to productionise models.
- Contribute to technical planning, architecture decisions and engineering best practices.
Essential experience
- Strong Python development skills.
- Experience with Machine Learning experiment tracking and model registries using MLflow, Weights & Biases, Neptune, Clear ML or a similar platform.
- Experience with distributed training frameworks such as Ray, Deep Speed, Horovod or Py Torch FSDP.
- Hands-on experience optimising models for inference using Tensor RT, ONNX Runtime, Open VINO, quantisation or pruning.
- Strong Docker and containerisation skills, including multi-stage or multi-architecture builds.
- Experience building CI/CD pipelines for Machine Learning systems.
- Experience with monitoring and observability tools such as Prometheus, Grafana, Datadog or similar.
- Linux systems administration and shell-scripting experience.
- Strong software engineering practices, including Git, testing and code reviews.
- Experience delivering AI or Machine Learning systems into production.
Desirable experience
- NVIDIA Jetson or other edge AI platforms.
- NVIDIA Deep Stream, GStreamer or FFmpeg.
- Kubernetes, Kubeflow, ECS, Nomad or other container-orchestration platforms.
- Airflow, Prefect, Dagster, Metaflow or similar workflow tools.
- Kafka, Pulsar, Redis Streams, Rabbit MQ or other event-driven technologies.
- Triton Inference Server, Ray Serve, Torch Serve, Bento ML or Seldon Core.
- DVC, Lake FS, Delta Lake, Feast or other data-versioning and feature-store technologies.
- Terraform, Pulumi, Cloud Formation or Ansible.
- GPU cluster management or high-performance computing.
- Aerial, satellite or ISR imagery.
- Security clearance
Candidates must be eligible to obtain UK BPSS and Security Check clearance. Existing clearance would be advantageous but is not essential for every appointment.
Applicants for SC clearance are normally expected to have lived in the UK for the previous five years.
A shorter period of UK residency or time spent overseas will not automatically prevent clearance, but eligibility will be assessed individually by the sponsoring authority
Senior MLOps Engineer in Brentford employer: MFK Recruitment
As a leading workplace equipment supplier, this award-winning organisation offers a dynamic and supportive work culture that prioritises innovation and customer satisfaction. Employees benefit from competitive salaries, a bonus structure, and the flexibility of remote work, alongside opportunities for professional growth and development within a thriving B2B market. The company's commitment to employee well-being and success makes it an excellent employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Senior MLOps Engineer in Brentford
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at MFK Recruitment or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to MFK Recruitment.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like MFK Recruitment.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like MFK Recruitment that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior MLOps Engineer in Brentford
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 MFK Recruitment.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at MFK Recruitment 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 MFK Recruitment
✨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 MFK Recruitment 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.
