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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: Be at the forefront of AI innovation and make a real impact in the tech world.
- Qualifications: 4-7 years experience in machine learning, strong Python skills, and cloud platform familiarity.
- Other info: Collaborative environment with opportunities for growth and learning in a dynamic field.
The predicted salary is between 60000 - 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 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 engineer beautiful code in Python and take pride in what you produce. You will be an advocate of highâquality engineering and bestâpractice in production software as well as rapid prototypes. While the position is handsâon 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 realâworld 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 productionâgrade software for machine learning and dataâdriven solutions.
What You'll Bring:
- Experience: 4â7 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:
- Scaleâup 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: Autoâenrolment 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 â 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 on the Hill 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 Harrow on the Hill
â¨Tip Number 1
Network like a pro! Reach out to current employees at Datatonic on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for your application process. Building connections can give you insights that set you apart.
â¨Tip Number 2
Showcase your skills in action! Instead of just talking about your experience, create a portfolio of projects that highlight your machine learning expertise. Share links to GitHub repos or live demos that demonstrate your coding prowess and problem-solving abilities.
â¨Tip Number 3
Prepare for the interview by brushing up on your communication skills. Practice explaining complex ML concepts in simple terms. Remember, youâll need to convey your ideas clearly to clients and team members alike, so being articulate is key!
â¨Tip Number 4
Donât forget to apply through our website! Itâs the best way to ensure your application gets seen by the right people. Plus, it shows youâre genuinely interested in joining Datatonic and being part of our innovative team.
We think you need these skills to ace Senior Machine Learning Engineer in Harrow on the Hill
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, machine learning, and any relevant cloud platforms. We want to see how your skills align with our mission at Datatonic!
Showcase Your Projects: Include examples of your past projects that demonstrate your ability to solve real-world problems using machine learning. We love seeing how you've applied your skills in practical scenarios, so donât hold back on the details!
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 â we want to see your consulting skills shine through!
Apply Through Our Website: We encourage you to apply directly through our website. Itâs the best way for us to receive your application and ensures youâre considered for the role. Plus, it shows youâre keen to join our team at Datatonic!
How to prepare for a job interview at Datatonic
â¨Know Your Tech Inside Out
Make sure youâre well-versed in Python and the machine learning libraries relevant to the role. Brush up on your knowledge of model optimisation and deployment tools, as you'll likely be asked to discuss how you've used these in past projects.
â¨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've creatively applied machine learning to solve real-world problems. Think about the challenges you faced, how you approached them, and the impact your solutions had on the business.
â¨Communicate Clearly and Confidently
Since strong communication skills are key for this role, practice explaining complex technical concepts in simple terms. Be ready to engage in discussions about client needs and how your expertise can meet those needs effectively.
â¨Demonstrate Leadership Potential
Highlight any experience you have leading projects or teams. Discuss how youâve managed client relationships and driven project success, as this will show that youâre not just a tech whiz but also someone who can lead and inspire others.