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- Tasks: Design and implement cutting-edge machine learning systems and educate your team.
- Company: N Consulting Ltd, a forward-thinking tech company in London.
- Benefits: Competitive daily rate, hybrid work model, and opportunities for professional growth.
- Why this job: Join us to innovate in machine learning and make a real impact on our products.
- Qualifications: 8+ years in machine learning, strong programming skills, and excellent communication.
- Other info: Dynamic environment with a focus on collaboration and continuous learning.
The predicted salary is between 72000 - 108000 £ per year.
Location: London, England, United Kingdom
Salary: £400 - £450 /day
Job Type: Contract
Date Posted: January 28th, 2026
Work Mode: Hybrid (Weekly twice)
Job Description:
- Redis cluster setup
- Kafka/Flink streaming pipelines
- S3 Data pipeline
- Real time micro batches implementation (5 minutes, hourly, daily)
- Mongo/Atlas as alternative implementation (we might land with S3 instead)
- SageMaker MLOps / SageMaker Training / SM Model Deployment
- Pytorch
- Design machine learning systems: You will work on building and implementing machine learning models and deploying these models into production.
- Data analysis: You will be responsible for improving data quality through data cleaning, validation, and transformation so that it can be used effectively by the machine learning models.
- Educate the team: As our machine learning expert, you will also have the opportunity to teach others about machine learning principles and help them understand how these principles can be applied to our products.
- Stay updated: You should stay abreast of latest trends and developments in machine learning, ensuring we continue to innovate.
Qualifications:
- Bachelor's Degree in Computer Science, Statistics, Applied Math or related field.
- 8+ years of practical experience with machine learning, algorithm design, data modeling, and software development.
- Hands-on experience in machine learning, predictive modeling and analysis, and cross-functional collaboration.
- Proficient in Python, R, Java or C++ programming languages.
- Experience with Hadoop, Hive, Spark, SQL or other big data technologies.
- Excellent communication skills, as this role will collaborate with both technical and non-technical colleagues.
Machine Learning Engineer employer: N Consulting Limited
Contact Detail:
N Consulting Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with other ML enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and algorithms. Practice explaining your thought process clearly, as communication is key when working with both technical and non-technical teams.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications come directly from passionate candidates. Plus, it gives you a better chance to stand out in the hiring process.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience with machine learning, data pipelines, and any relevant technologies like Python or SageMaker. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about machine learning and how your background makes you a great fit for our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Projects: If you've worked on any cool machine learning projects, make sure to mention them! Whether it's a personal project or something from your previous job, we want to see your hands-on experience and creativity in action.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about us and what we do!
How to prepare for a job interview at N Consulting Limited
✨Know Your Tech Stack
Make sure you’re familiar with the technologies mentioned in the job description, like Redis, Kafka, and SageMaker. Brush up on your Python and any other programming languages listed. Being able to discuss your hands-on experience with these tools will show that you're ready to hit the ground running.
✨Showcase Your Projects
Prepare to talk about specific projects where you've implemented machine learning models. Highlight your role in data cleaning, validation, and transformation. Use examples that demonstrate your ability to improve data quality and how it impacted the final product.
✨Communicate Clearly
Since this role involves educating others, practice explaining complex machine learning concepts in simple terms. Think of ways to relate your technical knowledge to non-technical colleagues. This will showcase your communication skills and your ability to collaborate across teams.
✨Stay Current
Research the latest trends in machine learning and be prepared to discuss them. Showing that you’re proactive about staying updated will impress interviewers and demonstrate your commitment to innovation in the field.
