At a Glance
- Tasks: Operationalise research models and build scalable systems for machine learning.
- Company: Dynamic fintech in Manchester with a focus on innovation and collaboration.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Inclusive culture that values diverse perspectives and encourages collaboration.
- Why this job: Tackle complex problems and contribute to groundbreaking research in a supportive team.
- Qualifications: Experience in ML Ops, strong Python skills, and familiarity with CI/CD tools.
The predicted salary is between 63000 - 77000 £ per year.
Permanent Manchester, United Kingdom ML Ops / Model Deployment Engineer – Research Function Manchester (2 days a week in City Centre)We’re supporting the build of a new research function within a Manchester fintech that is developing a simulated digital twin allowing the team to experiment, optimise, and solve genuinely complex commercial problems in a controlled environment.
We recently placed the Lead Research Data Scientist, who as well as being a great guy, is a highly capable, exceptional and thoughtful leader.
We’re now helping to build the team around them.
ML Ops / Model Deployment (CI/CD, Scaling, Robustness)As the ML Ops Engineer, you’ll focus on operationalising research models—building the systems, pipelines and tooling that take experimental work and make it stable, scalable and production-ready.
Key Responsibilities CI/CD for machine learning models.
Automating testing, validation, packaging and deployment.
Building scalable, reliable pipelines for research prototypes.
Managing model registries, monitoring, versioning and observability.
Supporting integration of research models into wider engineering systems.
Ensuring reproducibility and robustness across the model lifecycle.
Ideal Profile Experience in ML Ops or production ML engineering.
Strong CI/CD tooling (Git Hub Actions, Git Lab CI, Azure Dev Ops).
Docker/Kubernetes and modern deployment frameworks (MLflow, Seldon, Bento ML etc).
Strong Python skills.
Cloud experience.
Bonus: experience with Bayesian / simulation-led modelling.
Why this stands out1??Research-first, not reporting. 2??Complex, multi-variable and commercially meaningful problems. 3??Warm, curious, collaborative and sharp culture. 4??Everyone we’ve placed here loves it — which says everything!Mirai believes in the power of diversity and the importance of an inclusive culture.
It welcomes applications from individuals of all backgrounds, understanding that a range of perspectives strengthens both its team and its partners’ teams.
This is just one of the ways they’re taking positive action to shape a collaborative and diverse future in the workplace.
Machine Learning Engineer in Manchester employer: Mirai Tech Recruitment
As a Machine Learning Engineer at this innovative Manchester fintech, you'll be part of a dynamic research function that prioritises experimentation and optimisation to tackle complex commercial challenges. The company fosters a warm and collaborative culture, offering ample opportunities for professional growth while working with cutting-edge technologies in a supportive environment. With a commitment to diversity and inclusion, this employer not only values your contributions but also ensures you thrive in a meaningful and rewarding role.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer in Manchester
✨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 Mirai Tech Recruitment!
✨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 Machine Learning Engineer at Mirai Tech Recruitment.
✨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 Mirai Tech Recruitment.
✨Apply Directly through Our Website
When you find a suitable opening like Machine Learning Engineer at Mirai Tech Recruitment, 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 Machine Learning Engineer in Manchester
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 Mirai Tech Recruitment, 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 Mirai Tech Recruitment. 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 Mirai Tech Recruitment
✨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 Mirai Tech Recruitment!
✨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.
