Satalia (NPComplete)

Satalia (NPComplete) is seeking a Technical Solutions Architect to create enterprise-quality AI and ML solutions. This role involves technology selection, and leading a development team in implementing robust cloud-based solutions. Candidates should be proficient in Java, Typescript, and/or Python, with experience in Infrastructure-as-Code and serverless development. The position offers a flexible working environment, enhanced benefits, and a culture prioritizing wellbeing and social impact.

Technical Solutions Architect Role type: Permanent Location: UK / Remote 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 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 QA Engineers 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 What we Offer Benefits - enhanced pension, life assurance, income protection, private healthcare Remote working - cafe, bedroom, beach - wherever works Truly flexible working hours - school pick up, volunteering, gym Generous Leave - 27 days 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.

Satalia (NPComplete) is looking for a Cloud Architect to design secure, scalable cloud solutions integrating advanced ML and data science. You'll work closely with stakeholders and lead cross-functional teams to deliver impactful projects. The role offers truly flexible working hours and a supportive culture focused on well-being and inclusivity. Benefits include private healthcare and generous leave. If you have a strong background in Python and Azure, this may be the ideal position for you.

Senior Data Scientist Role type: Full time Location: UK (Fully Remote) Preferred start date: ASAP About Satalia Satalia builds enterprise grade AI systems for WPP and its FTSE 100 client base. Led by WPP Chief AI Officer Daniel Hulme, we run as a high autonomy, decentralised organisation where engineers and scientists own their domains end to end. We are building AI systems that operate on terabyte scale multimodal datasets to power the next generation of marketing intelligence. The Role Our current work includes: Agentic pipelines - multi step LLM systems with tool use, planning, and self evaluation that automate complex marketing workflows end to end. Domain adapted foundation models - fine tuning open weight LLMs (LoRA, RLHF, distillation) on proprietary WPP data for tasks like audience segmentation, creative scoring, and brand safety classification. Retrieval augmented generation - production RAG systems over large proprietary corpora (embedding models, vector indices, re ranking) that serve real time answers to client queries. Classical ML at scale - gradient boosted models, causal inference pipelines, and recommendation engines that run alongside LLM components in hybrid architectures. You will be the technical lead for projects across these workstreams: scoping the problem, choosing the modelling approach, building the training and evaluation infrastructure, shipping to production, and iterating based on live metrics. You are not handing off a notebook to an engineering team - you ship what you build. What You'll Do Design and run training pipelines - data curation, model selection, hyperparameter search, ablation studies - and be accountable for model quality on live traffic. Build and maintain production inference services (latency budgets, batching strategies, quantisation, monitoring) that serve WPP's global client base. Architect agentic AI systems: define tool schemas, orchestration logic, evaluation criteria, and failure modes for multi step LLM workflows. Work across the stack when needed - write the data pipeline, train the model, build the evaluation harness, deploy the service, and debug it when metrics drift. Set technical direction for your workstream: write design docs, make build vs buy decisions, and defend your approach with evidence. Mentor and set the quality standards for junior scientists. What We're Looking For 5+ years shipping ML models to production - you've dealt with data drift, silent failures, retraining cadences, and the gap between offline metrics and business outcomes. Deep, demonstrable expertise in at least one of: NLP/LLMs, computer vision, recommender systems, or causal inference. Hands on experience with LLM fine tuning (LoRA, RLHF, DPO) or building LLM powered systems (agents, RAG, structured generation). Strong software engineering habits - version control, testing, code review, CI/CD. Comfort with ambiguity. Many of our problems don't have a known good solution. Clear communication - you can write a one page design doc that is useful for both product managers and staff engineers. Nice to Have Experience with multimodal models. Background in marketing technology, ad tech, audience modelling, or media mix modelling. Publications at top venues (NeurIPS, ICML, ACL, CVPR) or meaningful open source contributions. What 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 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.

Data Scientist Mid Level Role type: Full time Location: Greece (fully remote) Preferred start date: ASAP About Satalia Satalia builds enterprise grade AI systems for WPP and its FTSE 100 client base. Led by WPP Chief AI Officer Daniel Hulme, we run as a high autonomy, decentralised organisation where engineers and scientists own their domains end to end. We are building AI systems that operate on terabyte scale multimodal datasets to power the next generation of marketing intelligence. The Role Agentic pipelines - multi step LLM systems with tool use, planning, and self evaluation that automate complex marketing workflows end to end. Domain adapted foundation models - fine tuning open weight LLMs (LoRA, RLHF, distillation) on proprietary WPP data for tasks like audience segmentation, creative scoring, and brand safety classification. Retrieval augmented generation - production RAG systems over large proprietary corpora (embedding models, vector indices, re ranking) that serve real time answers to client queries. Classical ML at scale - gradient boosted models, causal inference pipelines, and recommendation engines that run alongside LLM components in hybrid architectures. You will work as part of an experienced team contributing directly to one or more of these workstreams. You'll have real ownership of your work - building models, running experiments, and shipping code to production - with guidance from senior scientists who will help you grow technically. What You'll Do Build and iterate on ML models - from data exploration and feature engineering through training, evaluation, and deployment. Implement and maintain components of production ML pipelines: data pre processing, model serving, monitoring, and retraining workflows. Contribute to LLM powered systems - building prompt chains, evaluation harnesses, RAG pipelines, or fine tuning workflows. Analyse large multimodal datasets (text, image, video, structured metadata) to extract features and insights that feed downstream models. Write clean, tested, production quality Python code - not just notebooks. Participate in code reviews, design discussions, and experiment retrospectives. What We're Looking For 2-4 years of experience building ML models, with at least some of that work deployed to production. Solid fundamentals in machine learning: understand bias variance trade offs, cross validation, regularisation, and can reason about why a model is underperforming. Working proficiency in Python and comfort with core ML libraries. Exposure to at least one of: NLP/LLMs, computer vision, recommender systems, or time series modelling. Strong experience with software engineering practices - Git, testing, CI/CD, code review. Curiosity about LLMs and modern AI tooling. Clear communication - you can explain your modelling choices and results to both technical and non technical colleagues. Nice to Have Experience with LLM fine tuning, prompt engineering, or RAG systems. Familiarity with cloud infrastructure (AWS/GCP), Docker, and orchestration tools. Background in marketing technology, ad tech, or audience modelling. A relevant MSc or PhD, or equivalent depth from self directed learning and project work. What we Offer Benefits healthcare; Remote working - café, bedroom, beach - wherever works; Truly flexible working hours - school pick up, volunteering, gym; Generous Leave - holidays in line with Greek Law, plus bank holidays and enhanced family leave; 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 (NPComplete) is seeking a Senior Data Scientist to lead technical projects. You'll design training pipelines, maintain production services, and architect AI systems using large scale datasets. The ideal candidate has over 5 years of experience shipping ML models to production and expertise in NLP/LLMs. The position is fully remote, offering flexible hours, generous leave, and benefits including private healthcare and an annual bonus for successful performance.

Junior Data Scientist Role type: Full time Location: UK (Fully remote) Preferred start date: ASAP About Satalia Satalia builds enterprise-grade AI systems for WPP and its FTSE 100 client base. Led by WPP Chief AI Officer Daniel Hulme, we run as a high autonomy, decentralised organisation where engineers and scientists own their domains end to end. We are building AI systems that operate on terabyte scale multimodal datasets to power the next generation of marketing intelligence. The Role Our current work includes: Agentic pipelines - multi step LLM systems with tool use, planning, and self evaluation that automate complex marketing workflows end to end. Domain adapted foundation models - fine tuning open weight LLMs (LoRA, RLHF, distillation) on proprietary WPP data for tasks like audience segmentation, creative scoring, and brand safety classification. Retrieval augmented generation - production RAG systems over large proprietary corpora (embedding models, vector indices, re ranking) that serve real time answers to client queries. Classical ML at scale - gradient boosted models, causal inference pipelines, and recommendation engines that run alongside LLM components in hybrid architectures. This is a hands on role where you will learn by working alongside experienced data scientists on real production systems that serve global clients. We invest heavily in developing our junior hires and will pair you with senior mentors who will help you grow into a strong, independent practitioner. What You'll Do Explore and prepare datasets - cleaning, feature engineering, and exploratory analysis across structured and unstructured data (text, image, tabular). Train and evaluate ML models under the guidance of senior scientists, learning how to move from a working prototype to a production ready system. Write and maintain Python code that runs in production - scripts, pipeline components, and data processing jobs - with support through code review. Help build and test components of LLM powered systems: prompt templates, evaluation scripts, data loaders, and retrieval pipelines. Run experiments systematically: track hypotheses, log results, and communicate findings clearly to the team. Learn and adopt software engineering best practices - Git workflows, testing, documentation, and CI/CD - as part of your daily work. What We're Looking For A degree in a quantitative field (computer science, mathematics, statistics, physics, engineering, or similar) or equivalent practical experience. Solid understanding of ML fundamentals: supervised vs. unsupervised learning, overfitting, evaluation metrics, and basic model selection. Working knowledge of Python - you can write functions, use libraries, debug errors, and read other people's code. Familiarity with core data science libraries (pandas, NumPy, scikit learn). Exposure to PyTorch or TensorFlow is a plus. Some project experience with ML - academic projects, personal projects, internships, or competition entries all count. Show us something you've built. Curiosity and initiative - you read papers, follow releases, tinker with new tools, and ask good questions. Clear communication - you can explain what you did, why, and what you learned from it. Nice to Have Exposure to deep learning (NLP or computer vision) through coursework or personal projects. Familiarity with Git and command line workflows. Experience with SQL or any data pipeline tooling. Interest in LLMs, prompt engineering, or generative AI - even if it's just personal experimentation. Contributions to open source projects, Kaggle competitions, or a technical blog. What 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 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.

Satalia (NPComplete) is seeking a Junior Data Scientist for a fully remote position. You will engage in developing AI systems while learning alongside experienced data scientists. Responsibilities include dataset exploration, model training, and maintaining Python code in production. Candidates should have a quantitative degree, solid understanding of machine learning fundamentals, and working knowledge of Python and data science libraries. The role offers flexible working hours, generous leave, and development opportunities.

Satalia (NPComplete) is seeking a Mid-Level Data Scientist to work remotely in the UK. This position requires 2-4 years of experience in machine learning and strong Python skills. The candidate will build and iterate on ML models, implement production pipelines, and analyze multimodal datasets. The role also offers flexible working hours and a strong focus on wellbeing and impactful projects. Ideal for someone with a background in ML and a curiosity about LLMs.