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For Companies At a Glance
- Tasks: Engineer cutting-edge machine learning solutions and lead innovative projects.
- Company: Join Datatonic, a premier Google Cloud partner in AI transformation.
- Benefits: Enjoy health perks, gym discounts, remote work allowance, and learning opportunities.
- Why this job: Make a real impact in AI and data while working with passionate experts.
- Qualifications: 3+ years in machine learning, strong Python skills, and cloud platform familiarity.
- Other info: Dynamic environment with opportunities for growth and innovation.
The predicted salary is between 43200 - 72000 ÂŁ per year.
At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for worldâclass businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud. By partnering with us, clients futureâproof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.
Your Mission
As a Senior Machine Learning Engineer, you will know how to engineer beautiful code in Python and take pride in what you produce. You will advocate highâquality engineering and best practice in production software as well as rapid prototypes. While the position is a handsâon technical role, we would be particularly interested to find candidates with a desire to lead projects and take an active role in leading client discussions. Your responsibilities will involve building trusted relationships with prospects, finding creative ways to use machine learning to solve problems, scoping projects, and overseeing the delivery of these engagements.
To be successful, you will need strong ML & Data Science fundamentals and will know the right tools and approach for each ML use case. You will be comfortable with model optimisation and deployment tools and practices. Furthermore, you will also need excellent communication and consulting skills, with the desire to meet real business needs and deliver innovative solutions using AI & Cloud.
What You Will Do
- Translating Requirements: Interpret vague requirements and develop models to solve realâworld problems.
- Data Science: Conduct ML experiments using programming languages with machine learning libraries.
- Optimisation: Optimise machine learning solutions for performance and scalability.
- Custom Code: Implement tailored machine learning code to meet specific needs.
- Data Engineering: Ensure efficient data flow between databases and backend systems.
- MLOps: Automate ML workflows, focusing on testing, reproducibility, and feature/metadata storage.
- ML Architecture Design: Create machine learning architectures using Google Cloud tools and services.
- Engineering Software for Production: Build and deploy productionâgrade software for machine learning and dataâdriven solutions.
What You Will Bring
- Experience: 3+ years as a Machine Learning Engineer, preferably with a consulting background.
- Programming Skills: Proficiency in Python as a backend language, capable of delivering productionâready code in wellâtested CI/CD pipelines.
- Cloud Expertise: Familiarity with cloud platforms such as Google Cloud, AWS, or Azure.
- Software Engineering: Handsâon experience with foundational software engineering practices.
- Database Proficiency: Strong knowledge of SQL for querying and managing data.
- Scalability: Experience scaling computations using GPUs or distributed computing systems.
- ML Integration: Familiarity with exposing machine learning components through web services or wrappers (e.g., Flask in Python).
- Soft Skills: Strong communication and presentation skills to effectively convey technical concepts.
Bonus Points If You Have
Bonus points if you have consulting experience, advanced cloud architecture skills, or a background in largeâscale data pipelines.
What's in It for You?
We believe in empowering our team to thrive, with benefits including:
- Health Perks: Private health insurance (Vitality Health) and Smart Health Services.
- Fitness & Wellbeing: 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym).
- Hybrid Model: A WFH allowance to keep you comfortable.
- Learning & Growth: Access to platforms like Udemy to fuel your curiosity.
- Pension: Autoâenrolment after probation period. 3% employer contributions raising 1% per year of service to a max of 10%.
- Income Protection: Up to 75% of base salary, up to 2 years.
- Cycle to Work Scheme.
Why Datatonic?
Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn't just encouraged - it's embedded in everything we do. If you're ready to inspire change and deliver value at the forefront of data and AI, we'd love to hear from you!
Are you ready to make an impact? Apply now and take your career to the next level.
Senior Machine Learning Engineer in London employer: Datatonic
Contact Detail:
Datatonic Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Senior Machine Learning Engineer in London
â¨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with Datatonic employees on LinkedIn. Building relationships can open doors that applications alone can't.
â¨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's GitHub repos or a personal website, let your work speak for itself and demonstrate your coding prowess.
â¨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as communication is key in consulting roles like this one.
â¨Tip Number 4
Don't forget to apply through our website! Itâs the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining the Datatonic team.
We think you need these skills to ace Senior Machine Learning Engineer in London
Some tips for your application đŤĄ
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Machine Learning Engineer role. Highlight your experience with Python, ML fundamentals, and any relevant projects that showcase your skills in a consulting environment.
Showcase Your Projects: Include specific examples of machine learning projects you've worked on. Whether it's optimising models or deploying production-grade software, we want to see how you've tackled real-world problems and the impact of your work.
Communicate Clearly: Since strong communication skills are key for this role, ensure your application reflects your ability to convey complex technical concepts simply. Use clear language and structure your thoughts logically to demonstrate your consulting prowess.
Apply Through Our Website: We encourage you to apply directly through our website. This way, you can ensure your application reaches us quickly and you can easily keep track of your application status. Plus, it shows you're keen to join our team!
How to prepare for a job interview at Datatonic
â¨Know Your Tech Inside Out
Make sure you brush up on your Python skills and be ready to discuss your experience with machine learning libraries. Be prepared to explain how you've used these tools in past projects, especially in a consulting context.
â¨Showcase Your Problem-Solving Skills
Think of specific examples where you've tackled real-world problems using machine learning. Be ready to walk through your thought process, from interpreting vague requirements to delivering a successful solution.
â¨Communicate Clearly and Confidently
Since this role involves client discussions, practice explaining complex technical concepts in simple terms. Highlight your communication skills by engaging the interviewer with questions and clarifications during the interview.
â¨Demonstrate Leadership Potential
Even if you're not applying for a managerial position, show your willingness to lead projects. Share experiences where you've taken initiative or guided a team, as this will resonate well with their desire for candidates who can advocate for high-quality engineering.
