Machine Learning Engineer, Datatonic

Salary not provided

SQL

AWS

GCP

Python

Azure

Flask

Junior and Mid level

Remote from Spain

Data & AI consulting

Job no longer available

Data & AI consulting

101-200 employees

B2BArtificial IntelligenceEnterpriseBig dataAnalyticsMachine LearningSaaS

Job no longer available

Salary not provided

SQL

AWS

GCP

Python

Azure

Flask

Junior and Mid level

Remote from Spain

101-200 employees

B2BArtificial IntelligenceEnterpriseBig dataAnalyticsMachine LearningSaaS

Company mission

Datatonic's mission is to help businesses organise, understand, and action their data - discovering smarter ways to work and innovative new strategies in the process.

Job

Company

Role

Who you are

1-3 years experience as an ML Engineer, ideally from a consulting background
This candidate should be comfortable working with python as a backend language, delivering code in well-tested CI/CD pipelines
Familiarity with cloud environments (Google Cloud, AWS, Azure)
Experience with Software Engineering
Good knowledge of SQL
Knowledge of scaling up computations (GPUs, distributed computing, ..)
Familiarity exposing ML components through web services or wrappers (e.g. Flask in Python)
Strong communication and presentation skills
As a Machine Learning Engineer, you'll know how to engineer beautiful code in Python and take pride in what you produce
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 the job involves

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
Taking vague requirements and translating them into models that solve real-world problems
Running machine learning experiments using a programming language with machine learning libraries
Optimising solutions for performance and scalability
Implementing custom machine learning code
Data engineering, i.e. ensuring a good data flow between database and backend systems
Data science, i.e. analysing data and coming up with use cases
MLOps, i.e. automating ML workflows with testing, reproducibility and metadata/feature storage; Designing ML architectures on Google Cloud

Our take

Datatonic is a data consultancy that enables companies to make better business decisions with the power of Modern Data Stacks and MLOps. Its services allow clients to deepen their understanding of consumers, increase competitive advantages, and unlock operational efficiencies.

In 2021 and 2022, Datatonic has built high-performing MLOps platforms for global clients across the Telecommunications, Media, and e-Commerce sectors, enabling them to leverage MLOps best practices across their teams. Its customers include the likes of Sky, Vodafone,upd and Lush Cosmetics.

Since 2013, Datatonic has grown at a rapid rate, expanding into new markets and areas of expertise. The team consists of experts in machine learning, data science, software engineering, science and mathematics who share a passion for data and analysis and operating at the cutting edge.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

29% female employees

56% employee growth in 12 months

Glassdoor (3.9)

Company

Company benefits

25 days holiday (excl. bank holidays)
Flexible & remote working
Choice of laptop
Pension scheme (3% employer pension, rising by extra 1% per year worked)
Annual team bonus
Tech scheme
£100 home equipment allowance
Private Healthcare
Employee Assistance Program
Cycle-to-Work scheme
50% off Gym Annual Membership
Access to Linux Academy, Coursera, and LinkedIn Learning and a £700 Conference Budget with 4 days of attendance per year
Regular monthly social events and team offsites

Company HQ

Canary Wharf, London, UK

Leadership

Louis Decuypere

(CEO)

Previously a Marketing & Sales Analyst at P&G for 3 years and Business Intelligence Consultant at RBS for 2 years.

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