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- Tasks: Engineer innovative machine learning solutions and optimise performance using cutting-edge technologies.
- Company: Join Datatonic, a leading AI partner for Google Cloud, driving transformation for top businesses.
- Benefits: Enjoy 25 days holiday, private health insurance, gym discounts, and a hybrid work model.
- Why this job: Make a real impact in AI and data while collaborating with passionate experts.
- Qualifications: 4-7 years experience in machine learning, strong Python skills, and cloud platform familiarity.
- Other info: Empowering environment with opportunities for learning and career growth.
The predicted salary is between 48000 - 84000 ÂŁ per year.
Shape the Future of AI & Data with Us. At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world‑class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud. By partnering with us, clients future‑proof 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 engineer beautiful code in Python and take pride in what you produce. You will be an advocate of high‑quality engineering and best‑practice in production software as well as rapid prototypes. While the position is hands‑on technical, we are particularly interested in candidates who want to lead projects and actively participate in 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 delivery of engagements. To be successful, you will need strong ML & Data Science fundamentals and will know the right tools for each ML use case. You will be comfortable with model optimisation and deployment tools and practices, and you will possess excellent communication and consulting skills, with a desire to meet real business needs and deliver innovative solutions using AI & Cloud.
What You’ll Do:
- Translating Requirements: Interpret vague requirements and develop models to solve real‑world problems.
- Data Science: Conduct ML experiments using programming languages with machine learning libraries.
- GenAI: Leverage generative AI to develop innovative solutions.
- 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 production‑grade software for machine learning and data‑driven solutions.
What You’ll Bring:
- Experience: 4‑7 years as a Machine Learning Engineer, preferably with a consulting background.
- Programming Skills: Proficiency in Python as a backend language, capable of delivering production‑ready code in well‑tested CI/CD pipelines.
- Cloud Expertise: Familiarity with cloud platforms such as Google Cloud, AWS, or Azure.
- Software Engineering: Hands‑on 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:
- Scale‑up experience.
- Cloud certifications (Google CDL, AWS Solution Architect, etc.).
What’s in It for You: We believe in empowering our team to thrive, with benefits including:
- Holiday: 25 days plus bank holidays.
- Health Perks: Private health insurance and Smart Health Services.
- Fitness & Wellbeing: 50% gym membership discounts.
- Hybrid Model: A WFH allowance.
- Learning & Growth: Access to platforms like Udemy.
- Pension: Auto‑enrolment after probation, 3% employer contributions.
- Life Insurance: 3Ă— base salary.
- Income Protection: up to 75% of base salary for up to 2 years.
- Cycle to Work Scheme.
- Tech Scheme.
Why Datatonic: Join us to work alongside AI enthusiasts and data experts shaping tomorrow. 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 Harrow employer: Datatonic
Contact Detail:
Datatonic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer in Harrow
✨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 a CV just can't.
✨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.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex ML concepts in simple terms. Remember, it’s not just about what you know, but how you convey it!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team at Datatonic.
We think you need these skills to ace Senior Machine Learning Engineer in Harrow
Some tips for your application 🫡
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 projects, and any relevant cloud expertise. We want to see how your skills align with our mission at Datatonic!
Showcase Your Projects: Include specific examples of your past work in machine learning and data engineering. Whether it's a project that involved model optimisation or deploying production-grade software, we love seeing what you've accomplished. Let us know how you’ve made an impact!
Communicate Clearly: Since strong communication is key for this role, ensure your application reflects your ability to convey complex ideas simply. Use clear language and structure your thoughts well. We appreciate candidates who can articulate their technical knowledge effectively.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Datatonic!
How to prepare for a job interview at Datatonic
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and the machine learning libraries relevant to the role. Brush up on your knowledge of Google Cloud tools, as you'll likely be asked how you would leverage them in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific projects where you've translated vague requirements into actionable ML solutions. Be ready to explain your thought process and the impact your work had on the business.
✨Communicate Clearly and Confidently
Since this role involves client discussions, practice explaining complex technical concepts in simple terms. Use examples from your past experiences to demonstrate your communication skills and ability to build relationships.
✨Demonstrate Your Leadership Potential
Highlight any experience you have leading projects or teams. Discuss how you’ve taken initiative in previous roles and how you can bring that leadership to Datatonic, especially in a consulting environment.