Satalia (NPComplete)

Cloud Developer Role type: Permanent Location: UK, Greece or Lithuania Preferred start date: ASAP LIFE AS A SATALIAN As an organisation, we push the boundaries of data science, optimisation and artificial intelligence to solve the most complex problems in industry. Satalia, a WPP 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 seeking a highly skilled Cloud Developer to create and maintain the cloud infrastructure for our Typescript and Python-based web APIs. Our solutions will not be tied to a specific cloud platform, so the ideal candidate should have a strong understanding of cloud architecture with either Amazon Web Services (AWS), Google Cloud Platform (GCP) or Microsoft Azure and be willing to work across all clouds. You will be responsible for deploying commercial-grade APIs using Python Docker images, Typescript serverless functions and various cloud resources such as Kubernetes, storage buckets, pipelines and state stores. All infrastructure and deployment must be fully automated using Terraform. You will be joining a product team in developing these zero to one innovations over a multi-year roadmap. You will be working with the latest technologies across our technology stack, including optimising AI workloads that scale to meet client needs. It is a great time to be joining as the industry transforms itself in what we believe is a generational moment for technology and AI. What you'll be doing: Developing complex cloud-native serverless applications Writing and maintaining serverless functions in Typescript and Python Utilising Serverless technology including API management, Serverless functions, Event driven architectures, Serverless databases and document stores Implementing a range of integration patterns, from modern SaaS APIs using GraphQL to traditional FTP based integrations. Applying DevOps principles to empower teams to manage infrastructure directly using Git Utilising Terraform for provisioning and managing cloud resources. Leveraging Design Patterns and reference architectures to design scalable and efficient cloud infrastructure. Having a strong test driven, quality first mindset to your work Communicate effectively with excellent written and verbal skills. Familiarity with Diagrams-as-Code for documenting infrastructure architecture. Designing solutions observing cross-cutting concerns such as observability and system security Taking ownership of deployments in a true devops model What we want from you: Strong experience in creating and deploying cloud infrastructure using Azure, AWS, GCP Understanding of Python and Docker for developing web APIs. Familiarity with serverless technologies covering serverless functions, queues, file storage, API management and key value stores. Experience with integration patterns and working with various APIs. Knowledge of DevOps principles and Git, preferably with experience in modern techniques such as Monorepos Proficiency in Infrastructure-as-Code languages such as Terraform and CloudFormation. Understanding of design patterns for building scalable and efficient systems. A quality-driven, test first mindset. Excellent written and verbal communication skills. Familiarity with Diagrams-as-Code for documenting infrastructure architecture is a plus. Understanding of modern authentication protocols such as OAuth2 and OIDC. Consideration of cross-cutting concerns like observability and security in infrastructure design. Contributions to Open Source projects are a plus. Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience). What we can offer you: Opportunity to work at the forefront of AI technology A chance to contribute to groundbreaking commerce AI solutions Development - annual development budget to upskill yourself Benefits - enhanced pension, life assurance, income protection, private healthcare Annual bonus - when Satalia does well, we all do well Remote working - cafe, 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 - no problem Generous leave - 27 days' holiday plus bank holidays and enhanced family leave Transparent and open culture - you will be listened to and heard We are an equal opportunity employer and 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.

A leading AI-focused company is seeking an Azure Cloud Developer to build and maintain cloud serverless infrastructure for their innovative projects. The role involves deploying APIs using Python and Typescript, with a strong focus on cloud architecture and a devops culture. Ideal candidates should have experience with AWS, GCP, or Azure, and be skilled in Terraform and serverless technologies. Join a diverse team driving the future of generative AI solutions and enjoy a culture of flexibility and inclusion.

Overview Azure Cloud Developer Contract 3 months + Role type: Contract Location: UK, London, Remote Preferred start date: ASAP LIFE AS A SATALIAN As an organisation, we push the boundaries of data science, optimisation and artificial intelligence to solve the most complex problems in industry. Satalia, a WPP 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 workstreams 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 highly skilled AzureCloud Developer to create and maintain the cloud serverless infrastructure for our Typescript and Python-based web APIs. Our solutions will not be tied to a specific cloud platform, so the ideal candidate should have a strong understanding of cloud architecture with either Microsoft Azure and be willing to work across all clouds. You will be responsible for deploying commercial-grade APIs using Python Docker images, Typescript/Python serverless functions and various cloud resources such as Kubernetes, storage buckets, pipelines and state stores. All infrastructure and deployment must be fully automated using Terraform. You will be joining a product team in developing these zero to one innovations over a multi-year roadmap. You will be working with the latest technologies across our technology stack, including optimising AI workloads that scale to meet client needs. It is a great time to be joining as the industry transforms itself in what we believe is a generational moment for technology and AI. Your Responsibilities Developing complex cloud-native serverless applications Writing and maintaining serverless functions in Typescript and Python Utilising Serverless technology including API management, Serverless functions, Event driven architectures, Serverless databases and document stores Implementing a range of integration patterns, from modern SaaS APIs using GraphQL to traditional FTP based integrations. Applying DevOps principles to empower teams to manage infrastructure directly using Git Utilising Terraform for provisioning and managing cloud resources. Leveraging Design Patterns and reference architectures to design scalable and efficient cloud infrastructure. Having a strong, test driven, quality first mindset to your work Communicate effectively with excellent written and verbal skills. Familiarity with Diagrams-as-Code for documenting infrastructure architecture. Designing solutions observing cross-cutting concerns such as observability and system security Taking ownership of deployments in a true devops model Minimum Qualifications / Skills Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience). Strong experience in creating and deploying cloud infrastructure using AWS, GCP or Azure. Understanding of Python and Docker for developing web APIs. Familiarity with serverless technologies covering serverless functions, queues, file storage, API management and key value stores. Experience with integration patterns and working with various APIs. Leveraging Databricks for scalable data processing and analytics, integrating Spark workloads with cloud-native infrastructure and CI/CD pipelines. Knowledge of DevOps principles and Git, preferably with experience in modern techniques such as Monorepos Proficiency in Infrastructure-as-Code languages such as Terraform and CloudFormation. Understanding of design patterns for building scalable and efficient systems. A quality-driven, test first mindset. Excellent written and verbal communication skills. Familiarity with Diagrams-as-Code for documenting infrastructure architecture is a plus. Understanding of modern authentication protocols such as OAuth2 and OIDC. Consideration of cross-cutting concerns like observability and security in infrastructure design. Contributions to Open Source projects are a plus. 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. By applying to Satalia you are expressly giving your consent for the collection and use of your information as described within our recruitment privacy policy. In addition, please note that background checks are included as part of our on-boarding process. 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. Good luck!

Role type: Permanent Location: London/Remote Cloud Architectrequired to join our Satalia team. As an organisation, we push the boundaries of data science, optimisation and artificial intelligence to solve the most complex problems in the industry. Satalia, a WPP 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 and WPP Chief AI Officer Daniel Hulme, 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 truly 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. You will be responsible for creating enterprise-quality AI, ML, and Data Science based solutions. You will be involved in technology selection, API design, and establishing core patterns within our products and client projects. You will consider the functional and non-functional requirements to inform these decisions and lead our development team in implementing them. You will work with our world class Data Science and Data Engineering teams to provide robust, high quality, performant cloud based solutions for our customers. This is not a role for someone who doesn't love development. Our technical architects are expected to prove solutions and contribute to the development team, as well as reviewing code and driving improvement to our development practice and processes. At the same time, you need to be a great communicator: the role includes direct interaction with our clients and business stakeholders, which are a mixture of technical and non-technical audiences. The world of AI is evolving at a staggering pace, and we keep our knowledge fresh by continually looking for fresh technologies and sharing what we've learned. As an architect you would be expected to exemplify this both by bringing new ideas to our projects, but also listening to and assessing ideas from the team. What you'll be doing: Creating enterprise-quality solutions, with extensive experience and familiarity with how enterprise software solutions fit into a wider technical landscape Creating serverless solutions to execute data science and ML models Creating cloud IaC deployment code Guiding a team of Optimisers, Data Scientists, Data Engineers, Cloud Engineers and QAEngineers. Understanding and relating customer/business needs to the technical solutions we create Liaising with the customer, product owners and business analysts to ensure that the work we are doing is correct and architecturally sound Making technology and approach choices to meet NFRs whilst delivering good value for money What we want from you: Having an excellent understanding of Java, Typescript and/or Python, currently our core cloud languages Industry experience with an Infrastructure-as-Code platform (e.g. Cloudformation, Terraform) A strong understanding of both serverless development and containerisation approaches to deploying software to the cloud Having in-depth knowledge of at least one cloud platform (e.g. GCP, AWS, Azure), including an understanding of appropriate technologies for a given use case. Experience writing enterprise quality solutions, with extensive experience and familiarity with how enterprise software solutions fit into a wider technical landscape Having a solid understanding of traditional Design Patterns and the ability to adapt these to the AI world Being a strong proponent for rigorous quality processes, automated testing and IaC principles Having excellent written, spoken and diagrammatic communication skills, with the ability to convey technical and abstract principles to technical and non-technical audiences Experience of creating robust CI/CD pipelines that fully automate testing and release processes If you know some of this, even better: A strong understanding of event-driven architectures Working knowledge of Rust Experience with or knowledge of data engineering platforms and principles Experience with or knowledge of data science platforms and technologies WE OFFER Benefits- enhanced pension, life assurance, income protection, private healthcare; Remote working - café, bedroom, beach - wherever works; Truly flexible working hours - school pick up, volunteering, gym; Generous Leave - 27 days oliday plus bank holidays and enhanced family leave; Annual bonus- when Satalia does well, we all do well; Impactful projects- focus on bringing meaningful social and environmental change; People oriented culture- wellbeing is a priority, as is being a nice person; Transparent and open culture- you will be heard; Development - focus on bringing the best out of each other; 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. By applying to Satalia you are expressly giving your consent for the collection and use of your information as described within our Satalia Recruitment Privacy Policy. Good luck!

Role: AI Engineer (Prompt Engineering & Evaluation) Role type: Permanent Location: UK or Greece Preferred start date: ASAP LIFE AT SATALIA As an organisation, we push the boundaries of data science, and artificial intelligence to solve the most complex problems in the industry. Satalia, a WPP 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 and WPP Chief AI Officer Daniel Hulme, 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 truly 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 AI tools for multimodal datasets and a wide range of applications. We are building large scale, enterprise grade solutions and serving these innovations to our clients and WPP agency partners. As a member of our team, you will work alongside world class talent in an environment that not only fosters innovation but also personal growth. You will be responsible for shaping how our AI models understand and interpret complex creative content. Your work will bridge the gap between raw AI capabilities and the delivery of accurate, reliable, and valuable insights for our FTSE 100 clients. You will be at the forefront of applied AI, ensuring our products are not just powerful, but also precise and trustworthy. YOUR RESPONSIBILITIES Collaboration: Work closely with product managers, data scientists, and architects to translate business needs into technical requirements for AI evaluation and application. Prompt Engineering & LLM Application: Design, develop, and iteratively refine sophisticated prompts for Large Language Models (LLMs). AI Output Evaluation & Governance: Design and implement evaluation frameworks to ensure our LLM based services deliver accurate, reliable outputs. Establish metrics for prompt performance, iterative improvement processes, and drift monitoring. Evaluate and recommend best in class evaluation tools and methodologies to enhance our capabilities. Evaluation Dataset Engineering: Build and maintain the infrastructure for high quality evaluation datasets representing diverse industry verticals and creative types. This involves designing data pipelines, annotation workflows, quality control systems, and version control. You'll develop intelligent sampling strategies to ensure balanced positive/negative examples across questions about creative elements that drive advertising performance. Applied AI Research & Integration: Build a production ready evaluation system for our LLM based services, which extract structured insights from advertising creatives. In your first 6 months, you'll develop an automated evaluation system using LLM as judge approaches with human in the loop validation, creating a robust, scalable solution for FTSE 100 clients. Documentation & Knowledge Sharing: Document the AI evaluation process and results to track product quality and maintain user facing product and API documentation. MINIMUM QUALIFICATIONS / SKILLS Proficiency in Python. Hands on experience in advanced prompt engineering for major LLMs. Proven experience in designing and implementing evaluation methodologies and quality frameworks for AI/ML model outputs. Familiarity with modern AI/LLM frameworks (e.g., LangChain, Google GenAI). Experience working with both structured and unstructured data, particularly in a cloud environment (GCP, AWS, or Azure). Strong analytical and problem solving skills. PREFERRED QUALIFICATIONS / SKILLS Experience with Computer Vision APIs or models. Experience building and deploying scalable API services (e.g., FastAPI, Flask). Experience working in a product driven environment and following MLOps best practice. Experience implementing and optimizing data transformations and ETL/ELT processes. WE OFFER Benefits - enhanced pension, life assurance, income protection, private Healthcare; Remote working - café, bedroom, beach - wherever works; Truly flexible working hours - school pick up, volunteering, gym; Generous Leave - holiday plus bank holidays and enhanced family leave; Annual bonus - when Satalia does well, we all do well; Impactful projects - focus on bringing meaningful social and environmental change; People oriented culture - wellbeing is a priority, as is being a nice person; Transparent and open culture - you will be heard; Development - focus on bringing the best out of each other; 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. By applying to Satalia you are expressly giving your consent for the collection and use of your information as described within our Satalia Recruitment Privacy Policy.

A leading AI solutions provider in the UK is looking for an AI Engineer specializing in Prompt Engineering & Evaluation. You will play a pivotal role in shaping AI models and ensuring they deliver precise insights for clients. The role encompasses collaboration with interdisciplinary teams, designing and refining LLM prompts, and building robust evaluation frameworks. You'll work in a flexible environment that values autonomy and personal growth, with significant benefits and a commitment to meaningful projects.

A leading AI optimization firm in the UK is seeking a QA Test Lead to develop automation testing strategies for diverse projects. This role involves implementing test scripts for functional and regression testing while collaborating with engineering teams. Candidates should have extensive experience in API and UI testing and proven leadership skills. The company promotes a flexible working culture and offers 27 days of annual leave plus benefits. Join a team that values innovation, inclusivity, and wellbeing.

Azure Cloud Platform Engineer Role type: Contract 3-6 months + Location: UK London/remote Preferred start date: ASAP LIFE AT SATALIA As an organisation, we push the boundaries of data science, optimisation and artificial intelligence to solve the most complex problems in the industry. Satalia, a WPP 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 and WPP Chief AI Officer Daniel Hulme, 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 truly 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 The Cloud Platform Engineers deliver infrastructure solutions as part of an experienced cross disciplinary team. We have a developer mindset and deliver our infrastructure through code, holding ourselves to the same quality and code standards as the rest of the team. We need you to use your hands on experience to drive the design, development and deployment of Satalia's Logistics and Delivery products. YOUR RESPONSIBILITIES Work with our solution architects to identify the best technologies and process for our clients Act as a technical authority to engage and steer discussions on best practice and risk mitigation Ensure security considerations are implemented, tested and maintained Build in Observability MINIMUM QUALIFICATIONS / SKILLS Building infrastructure and deploying code in one of the main Clouds (preferably Azure, Bitbucket Pipelines, Terraform, Kubernetes, ArgoCD, K6) Implementing and maintaining monitoring, logging and tracing tools (Grafana or similar) Communicating and explaining technical concepts at appropriate levels for your team and to clients Understanding of the strengths and weaknesses of: Infrastructure and Configuration as Code Safe Deployment strategies and CI/CD Cloud-based and Cloud-native system design Observability Developer Experience DevOps and SRE InfoSec and SIEM If you know this, even better We're interested in talking to people who have worked with different technologies. We're looking for candidates who can demonstrate skills from this list, and who have curiosity and want to learn more: Experience in the Logistics industry Practical experience with BitBucket Pipelines, GitHub Actions Workflows or Azure DevOps Pipelines, Repos and Artifacts Experience with Kubernetes, and familiarity with differing Cloud implementations Experience deploying and operating observability stacks in production environments, including integration with Kubernetes workloads and cloud native services Hands on with Terraform - familiarity with Terragrunt, Terratest Experience with Chef, Puppet, Salt, or Ansible in production environments Management of Automation Tooling - Jenkins, CircleCI, GitLab CI Experience with automated testing tools - Selenium, JMeter, Lighthouse Strong scripting skills - PowerShell, Python, Bash, Ruby, Perl 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. By applying to Satalia you are expressly giving your consent for the collection and use of your information as described within our Satalia Recruitment Privacy Policy. Good luck!

An innovative tech company based in the UK is seeking an Azure Cloud Platform Engineer for a 3-6 month contract. This role involves delivering infrastructure solutions within a collaborative team environment, focusing on the design and deployment of logistical and delivery products. Ideal candidates should have strong hands-on experience with Azure and related technologies, familiar with CI/CD practices. The company promotes a flexible working culture, valuing autonomy and diversity in the workplace.