At a Glance
- Tasks: Join a team to build scalable AI systems and deploy cutting-edge models.
- Company: Global tech-driven insights organisation focused on generative AI.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Collaborate with top researchers and tackle exciting challenges in AI.
- Why this job: Make a real-world impact with innovative AI technologies and solutions.
- Qualifications: Experience in MLOps, Python, and building complex ML pipelines.
The predicted salary is between 80000 - 98000 £ per year.
We are working in partnership with a global, technology-driven insights organisation to hire an AI & MLOps Engineer to join a cutting-edge Synthetic Data team. This is a high-impact opportunity to work at the forefront of generative AI and machine learning platforms, helping turn advanced research into scalable, production-grade systems used across a global business.
The Opportunity
You'll join a multidisciplinary team building a next-generation platform focused on:
- Synthetic data generation at scale
- AI-powered data augmentation tools
- "Digital twin" models powered by LLMs
- Privacy-first, enterprise-grade ML infrastructure
The team blends data science, software engineering, and research, with strong links to leading academic institutions - ensuring the work is both scientifically rigorous and commercially impactful.
The Role
As an AI & MLOps Engineer, you'll play a critical role in bridging research and production, ensuring complex models are deployed in a reliable, scalable and cost-efficient way. Key responsibilities include:
- Productionising cutting-edge AI models (LLMs, diffusion models, synthetic data generators)
- Designing and maintaining scalable ML pipelines and workflows
- Building fault-tolerant orchestration layers for long-running, compute-heavy jobs
- Implementing CI/CD pipelines for machine learning, including model testing and versioning
- Driving observability and monitoring, including model performance, data drift, and system health
- Optimising cloud infrastructure and compute usage (GPU/CPU, caching, scaling strategies)
- Developing robust data architectures and asynchronous processing systems
You'll work closely with applied ML researchers, acting as the key link that ensures innovation is translated into real-world, production-ready solutions.
Technology Environment
You'll be working across a modern AI/ML stack including:
- Languages & Frameworks: Python, PyTorch
- MLOps & Platforms: Kubeflow, Vertex AI, Kubernetes, Docker
- Backend Systems: FastAPI, async job queues (Celery/RabbitMQ)
- Data & Storage: GCP, BigQuery, Parquet/Arrow, vector databases
- LLM Tooling: RAG architectures, PEFT/LoRA fine-tuning
What We're Looking For
MLOps & Engineering Expertise
- Strong experience building and managing complex ML pipelines (DAGs)
- Proven ability to deploy generative AI models into production
- Hands-on with CI/CD for ML, model registries, and reproducibility
Data & Systems Engineering
- Experience designing high-throughput data pipelines across structured and unstructured data
- Strong understanding of asynchronous systems and APIs
- Expertise in data validation and schema enforcement
AI/ML Knowledge
- Solid Python and PyTorch skills
- Familiarity with LLMs, diffusion models, or similar architectures
- Experience with model monitoring, evaluation, and performance optimisation
Why Apply?
- Work on cutting-edge generative AI use cases with real-world impact
- Be part of a high-performing, research-driven engineering team
- Shape how advanced ML systems are deployed at global scale
- Gain exposure to complex challenges across AI, data, and platform engineering
If you're passionate about building robust ML systems and want to work at the bleeding edge of AI innovation, we'd love to hear from you.
MLOps Engineer employer: KDR Recruitment USA
Join a forward-thinking global insights and research technology company that champions innovation and collaboration in the heart of the UK. With a strong emphasis on employee growth, we offer a dynamic work culture that encourages creativity and agility, alongside competitive benefits and opportunities for professional development in cutting-edge AI and ML projects. Experience the unique advantage of working in a hybrid/remote environment that promotes work-life balance while being part of a passionate team dedicated to delivering impactful solutions.
StudySmarter Expert Advice🤫
We think this is how you could land MLOps Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like KDR Recruitment USA!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like MLOps Engineer at KDR Recruitment USA.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like KDR Recruitment USA.
✨Apply Directly through Our Website
When you find a suitable opening like MLOps Engineer at KDR Recruitment USA, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace MLOps Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at KDR Recruitment USA, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at KDR Recruitment USA. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at KDR Recruitment USA
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at KDR Recruitment USA!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
