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- Tasks: Engineer cutting-edge machine learning solutions and optimise performance using Python.
- Company: Join Datatonic, a leading AI partner for Google Cloud, transforming businesses.
- Benefits: Enjoy 25 days holiday, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on collaboration and career advancement.
- Why this job: Shape the future of AI while working on innovative projects with top-tier clients.
- Qualifications: 1-3 years experience in machine learning and strong Python programming skills.
The predicted salary is between 28800 - 48000 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 Machine Learning Engineer, you will know how to 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. Whilst the position is a hands‑on 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’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: 1‑3 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? Holiday: 25 days plus.
Machine Learning Engineer in Harrow on the Hill employer: Datatonic
Contact Detail:
Datatonic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer in Harrow on the Hill
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow Machine Learning Engineers. 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 best projects, especially those involving Python and machine learning. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨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. We want to see how you can translate tech speak into business value!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team at Datatonic.
We think you need these skills to ace Machine Learning Engineer in Harrow on the Hill
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Machine Learning Engineer role. Highlight your Python proficiency, cloud expertise, and any relevant projects you've worked on. We want to see how you can fit into our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and data, and how your background makes you a great fit for us. Don’t forget to mention any consulting experience or leadership roles you've taken on.
Showcase Your Projects: If you've got any cool machine learning projects, make sure to include them in your application. Whether it's a personal project or something from work, we love seeing practical examples of your skills in action!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you're serious about joining our team at Datatonic!
How to prepare for a job interview at Datatonic
✨Know Your Code Inside Out
As a Machine Learning Engineer, you’ll need to demonstrate your coding skills, especially in Python. Make sure you can explain your code clearly and discuss the logic behind your implementations. Practise coding challenges and be ready to showcase your problem-solving abilities.
✨Understand the Business Needs
It’s crucial to connect your technical skills with real-world applications. Research the company’s projects and think about how machine learning can solve their specific problems. Be prepared to discuss how you would approach translating vague requirements into actionable solutions.
✨Brush Up on ML Fundamentals
Make sure you’re well-versed in machine learning concepts and tools. Review key algorithms, model optimisation techniques, and deployment practices. Being able to discuss these topics confidently will show that you have a solid foundation and are ready to tackle complex challenges.
✨Show Off Your Communication Skills
Since this role involves client discussions, strong communication is key. Practise explaining technical concepts in simple terms and be ready to engage in discussions about your ideas. Highlight any past experiences where you successfully communicated complex information to non-technical stakeholders.