As an organisation, we push the boundaries of data science, optimisation and artificial intelligence to solve the most complex problems in industry. Satalia, a Wunderman Thompson Company, is a community of individuals devoted to working on diverse and challenging projects, allowing you to flex your technical skills whilst working with a tight knit team of high performing colleagues.
Led by our founder (who is also WPP’s Chief AI Officer), Satalia’s ambition is to become a decentralised organisation of the future. Today this involves developing tools and processes to liberate and automate manual repetitive tasks, with a focus on freedom, transparency and trust. At the core of our thinking is an approach to wellbeing and inclusivity. We unpack human behaviour and unpick prejudice to ensure a safe and inviting environment. We offer true flexible working and allow our employees to find the working practice that makes them most productive. At Satalia, your opinion matters and your achievements are celebrated.
The role
We are investing massively in developing next generation generative AI tools, including work streams covering text, image, video, audio, and research. We are building large scale, enterprise grade solutions and serving these innovations to our clients and WPP agency partners.
We are seeking a motivated Python Developer to join our outstanding engineering team. You will have a strong background in producing Python code for high uptime, high performance production systems. The primary responsibility of this role will be taking existing algorithms from a team of data scientists and preparing production ready code that completes the same task. You will be both a technical authority on our Python based solutions and assisting the existing data science team helping them to improve the transition from ideation to production.
You will be involved in all parts of a project’s lifecycle from creating the code, troubleshooting build processes and assisting with the investigation of production issues.
Your responsibilities
- Collaborate closely with the data science, data engineering and cloud engineering teams to integrate data science solutions into our production systems.
- Follow CI/CD best practices to ensure consistent, repeatable deployments.
- Refine raw Python algorithms to a production ready state, considering performance, stability and maintainability.
- Ensuring robust, repeatable builds across the pipeline.
- Troubleshoot pipeline issues and resolve them in a timely manner.
- Manage product libraries, resolving library conflicts in cloud-based Docker environments in vms, including those for GPU pipelines.
- Document and communicate technical solutions and best practices to the team.
About you
- High degree of proficiency with Python in production systems
- Knowledge of Docker and the ability to create Docker files and Docker images using automated build pipelines
- Experience managing libs requirements to prevent and resolve library conflicts in Docker environments.
- Strong knowledge of CI/CD practices, tools and techniques and how these are applied to creating Python based Docker images.
- Management of GPU-enabled pipelines and an understanding of the challenges associated with creating GPU-enabled Docker images on VMs.
- Strong problem-solving skills and ability to work independently.
- Excellent communication and collaboration skills.
- Ability to work within a devops focussed team.
Nice to have
- Experience using Make files to provide full automation of Python builds
- Experience with building and deploying code using BitBucket pipelines
- Bachelor's degree in computer science, software engineering, or a related field
- Some understanding of data science and AI models
If you feel like you don’t tick all our boxes but know you’d make a fantastic Python Developer at Satalia, please do apply! We know the value of transferable skills and experiences and would love to hear about these in your cover letter. As an equal opportunity employer we welcome applications that reflect the diversity of our wider community. Please let us know at any time if you require reasonable adjustments to your interview process and feel free to let us know the pronouns you use.
We offer
- Development - focus on bringing the best out of each other;
- Benefits - enhanced pension, life assurance, income protection, private healthcare;
- Annual bonus - when Satalia does well, we all do well;
- Remote working - café, bedroom, beach - wherever works;
- Impactful projects - focus on bringing meaningful social and environmental change;
- People oriented culture - wellbeing is a priority, as is being a nice person;
- Truly flexible working hours - school pick up, volunteering, gym;
- Generous leave -27 days holiday plus bank holidays and enhanced family leave
- Transparent and open culture - you will be heard.
Satalia is home to some of the brightest minds in AI and if you’re looking to join a company who not only values autonomy and freedom, but embraces a culture of inclusion and warmth, we’d love to hear from you.
We aim to respond to all applications within 2 weeks. If you have not heard from us within 2 weeks this means your application has been unsuccessful.
