Machine Learning Engineer

Datatonic; Greater London; Hybrid; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Health insurance

Gym discounts

WFH allowance

Udemy access

Pension scheme

Income protection

Cycle to Work

Job summary

Datatonic, Google's premier partner in AI, is seeking a Machine Learning Engineer in the Greater London area. You'll write production-grade Python code, build ML models, and lead client discussions.

This hands-on role combines data science with software engineering in a consulting environment. You should have 1–3 years of ML experience, strong Python, familiarity with cloud platforms, ML deployment, and solid SQL skills.

Qualifications

• 1–3 years experience as a Machine Learning Engineer.
• Strong Python backend coding in production-ready pipelines.
• Experience with ML model deployment and monitoring.
• Ability to lead client discussions and projects.
• Excellent communication and consulting skills.

Responsibilities

• Translate requirements into ML models for real-world problems.
• Data Science: conduct ML experiments using libraries.
• Optimisation: optimise ML solutions for performance and scalability.
• Custom Code: implement tailored ML code for specific needs.
• Data Engineering: ensure efficient data flow between databases and backends.
• MLOps: automate ML workflows with testing and reproducibility.
• ML Architecture Design: create architectures using Google Cloud tools.
• Engineering Software for Production: build and deploy production-grade ML software.

Skills

Python

CI/CD

Cloud platforms

SQL

MLOps

Tools

Flask

TensorFlow

PyTorch

Job description

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'll know how to engineer beautiful code in Python and take pride in what you produce. You'll 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'd 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'll be comfortable with model optimisation and deployment tools and practices. Furthermore, you'll 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.
• 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:

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: (Auto-enrolment 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?