Senior Machine Learning Engineer

Datatonic; England; Hybrid; GBP 70,000 - 90,000; Full time

Benefits offered by this job

Private health insurance (Vitality Health)

50% gym membership discounts

Work from home allowance

Access to online learning platforms

Pension contributions

Income protection

Cycle to Work Scheme

Job summary

A leading technology firm in the UK is seeking a Senior Machine Learning Engineer to drive AI solutions. You will work with technology enthusiasts and engage in innovative projects leveraging Google Cloud. The ideal candidate has over 3 years of experience, strong Python skills, and a passion for machine learning. This role offers flexibility with a hybrid work model and substantial health benefits.

Qualifications

• 3+ years as a Machine Learning Engineer, preferably with a consulting background.
• Proficiency in Python and familiarity with CI/CD pipelines.
• Experience scaling computations using GPUs or distributed systems.

Responsibilities

• Build trusted relationships with clients and stakeholders.
• Conduct ML experiments and optimize for performance.
• Implement tailored machine learning solutions addressing specific needs.

Skills

Programming in Python

Machine Learning fundamentals

Database knowledge (SQL)

Strong communication skills

Experience with cloud platforms

Tools

Google Cloud

AWS

Azure

Job description

Senior Machine Learning Engineer at Datatonic

Join to apply for the Senior Machine Learning Engineer role at Datatonic.

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’ll know how to engineer beautiful code in Python and take pride in what you produce. You’ll advocate high‑quality engineering and best practice in production software as well as rapid prototypes.

While 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: 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

Bonus points if you have consulting experience, advanced cloud architecture skills, or a background in large‑scale data pipelines.

What’s in It for You?

We believe in empowering our team to thrive, with benefits including:

Benefits

• 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!

Apply

Are you ready to make an impact? Apply now and take your career to the next level.