MLOps Engineer

As an MLOps 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 an understanding of ML & Data Science fundamentals, as well as best software engineering practices such as automated testing and CI/CD. 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.

Your responsibilities will include:

• Working closely with clients to take machine learning workloads from experimentation to production, using state-of-the-art technologies
• Automating ML workloads with testing, reproducibility, and metadata/feature storage
• Implementing custom machine learning code
• Optimizing solutions for performance and scalability
• Designing ML architectures on Google Cloud
• Help develop our evolving best practices for MLOps on Google Cloud, and showcase our expertise and leadership in this field

Requirements

• 1-2 years of experience in DevOps, Machine Learning, or experience as a Software Engineer
• Demonstrable interest in Machine Learning
• Strong programming experience in Python
• Thorough knowledge of CI/CD
• Passion for technology and desire to learn
• A desire to join a diverse team of ML, AI and DevOps enthusiasts
• Solid understanding of cloud concepts
• Strong communication and presentation skills.

Bonus points (but not essential):

• Practical experience in Machine Learning
• Experience with Infrastructure-as-Code tools, such as Terraform
• Experience with containerisation technologies (Docker, Kubernetes)
• Experience using key Machine Learning technologies, such as TensorFlow, Kubeflow Pipelines, and other relevant libraries
• Prior experience working in cloud environments, ideally in GCP
• Prior experience in a client-facing role

Benefits

The Basics: 25 days holiday in addition to bank holidays, choice of laptop, pension scheme (3% employer pension, rising by extra 1% per year worked), team bonus payable annually, tech scheme, £100 home equipment allowance

Health & Wellbeing: Private Healthcare, Employee Assistance Program, Cycle-to-Work scheme, Discounted Gym Membership

Learning: Datatonic encourages continuous learning at all levels with a generous conference budget, freedom to explore the latest tools and technologies as well as regular knowledge-sharing activities. You will get access to Linux Academy, Coursera, and LinkedIn Learning and a £700 Conference Budget with 4 days of attendance per year

Career Development: A personalised development plan to ensure you hit your professional goals with a clear roadmap for progression

Impact: The opportunity to work on cutting-edge AI and ML solutions spanning multiple industries and with market-leading organisations

Innovation: Access to Datatonic LABs, our Research & Development hub. Experiment and bring forward ideas, create impactful and meaningful work in a creative and collaborative environment - even just for fun!

Office Environment: A modern office set in the innovation hub of Canary Wharf with complimentary fruit, cookies, tea/coffee throughout the day as well as a shared café and working space with panoramic views of London

Team Vibe & Social: A welcoming and friendly team plus regular monthly social events and team offsites including Tasty Tuesdays (paid lunch) and Thirsty Thursdays (team drinks).

Working for Datatonic

Our UK headquarters is based in a tech-centric environment in the centre of Canary Wharf. We also have offices in Stockholm, Geneva, Munich, and Barcelona, and we work with clients in many other European countries. We allow for flexible working hours and the possibility of remote work.

We’re an eclectic team with lots of different interests and personalities. We have many different roles across data science, engineering, analytics, consulting, marketing, business development, and operations. As a company, we have a strong emphasis on learning and professional development. Our core values are:

Cultivating Excellence

A hub for continuous learning, curiosity, developing ideas, testing things out - and then putting ‘excellence’ into practice.

Owning It

Working collaboratively in cross-functional teams to achieve customer delight. We love what we do and draw immense satisfaction from taking responsibility and seeing the results of our work.

Purposeful Impact

Creating positive change for our customers, using the most relevant machine learning and analytics approaches and the best technologies to meet real business needs.

Winning with Partners & Friends

Our business has been built on great partnerships and open-source collaboration. It’s one thing to be successful, but to do it in partnership with great people and other great companies is even better in our opinion.