test frameworks, collaborating with Data Engineers and Data Analysts on complex problems, or learning and developing our expertise. Data Modelling & SQL Turning raw data into friendly, business-facing data models is at the core of the role of an Analytics Engineer, and like most data teams, we use a combination of SQL and dbt to get this done. As … to be comfortable with dbt and native SQL speakers (at least 1 dialect). Wrangling data into shape should be second nature. It is also vital that our data models can be trusted - so testing and QA is extremely important to us. We're on a test-driven development journey, and our Analytics Engineers are constantly pushing the boundaries … of what is possible when it comes to making sure our data is high quality. In summary, you will: Build data models using SQL and dbt. Optimise for performance and cost across different data warehouses. Demonstrate git best practices for effective version control. Be pragmatic about documentation. Conform and contribute to Tasman's SQL style guidelines. Design and implement More ❯
competitions and consumer promotions. Role: Lead full-lifecycle data science projects within the Competitions domain — from discovery and modelling to deployment and business adoption. Design and implement models to forecast participation, optimise pricing and prize strategies, and segment audiences based on engagement patterns. Work closely with stakeholders in Consumer Promotions, Revenue Management, and Legal to ensure models … junior data scientists, and contribute to the wider data science capability across the business. Write clean, well-documented Python and SQL code, and collaborate with engineering teams to productionise models effectively. What We’re Looking For 3+ years in applied data science roles, ideally with a strong commercial and product focus. Proven experience using data science to influence behaviour More ❯
competitions and consumer promotions. Role: Lead full-lifecycle data science projects within the Competitions domain — from discovery and modelling to deployment and business adoption. Design and implement models to forecast participation, optimise pricing and prize strategies, and segment audiences based on engagement patterns. Work closely with stakeholders in Consumer Promotions, Revenue Management, and Legal to ensure models … junior data scientists, and contribute to the wider data science capability across the business. Write clean, well-documented Python and SQL code, and collaborate with engineering teams to productionise models effectively. What We’re Looking For 3+ years in applied data science roles, ideally with a strong commercial and product focus. Proven experience using data science to influence behaviour More ❯
as pioneers on unsolved problems requiring a high degree of creativity. This work will often involve leveraging our large datasets (300k patient profiles and counting) to build novel ML models that improve clinical accuracy, safety, and patient experience. More often than not, this work will involve using classic ML techniques like tree-based models in combination with large … language models. At Limbic, we strongly believe that using domain-specific models, for example, a model that detects cognitive distortions, is what ultimately enables the success of LLM-based systems. That’s why you might be an excellent candidate if you have domain expertise in psychology and psychiatry, which you know how to translate into … testable hypotheses and ML models using real-world data. You should apply if you are passionate about using your strong analytical and technical skills, perhaps coming from a clinical background, to build scalable solutions that improve the lives of thousands of patients every month. Responsibilities Continuously improve the clinical capabilities of our product suite using tools from machine learning More ❯
conduct the analysis activity at customer locations in the UK to have face to face discussions and hold group workshops Prepare for the analysis activity through reviewing the domain, evaluating stakeholders, determining the output required and how best to achieve success Review the analysis and produce business level requirements with supporting documentation, which both the customer and technical … enthusiastic to present and advocate novel technical solutions at customer sites Experience in delivering software using various software methodologies, particularly Agile and Waterfall Experience in creating UML, BPMN 2.0 models and diagrams, particularly conceptual domainmodels, activity diagrams, and use case diagrams. Experience in developing and documenting requirements, with acceptance tests, and providing supporting artefacts like More ❯
and advertisers. The year ahead is a busy one - join us! The App Ads Team is entrusted with the development and maintenance of a diverse set of Machine Learning models that are responsible for predictions regarding user conversions after engaging with Reddit. The creation and enhancement of these models plays a crucial role in our organization's efforts … diverse group of software engineers, product managers, data scientists, and ads experts, we are excited for you to join our team! Your Responsibilities : Develop advanced and scalable deep learning models using cutting-edge techniques for critical machine learning tasks within the app conversions modeling domain. Design and implement innovative strategies for signal loss mitigation, ensuring the accuracy and reliability … Systematic feature engineering works to convert all kinds of raw data in Reddit (dense & sparse, behavior & content, etc) into features with various FE technologies such as aggregation, embedding, sub models, etc. Be a mentor and cross-functional advocate for the team. Contribute meaningfully to team strategy. We give everyone a seat at the table and encourage active participation in More ❯
in various simulation tools (MATLAB, RSCAD, PSCAD etc) and its verification. Algorithm and state machine development in MATLAB Simulink. Conversion of MATLAB Simulink algorithms to other suitable time domain library models. Support improvements to existing algorithm/strategies for power fault recovery or instability issues during DPS studies. Support development of new strategies for control, protection, and sequencing More ❯
user needs, creating sketches, concepts, user journeys, wireframes, and prototypes. Lead on user experience requirements and develop compelling user designs. Deliver user requirements such as personas, domainmodels, and specifications. Engage stakeholders in user-centered design processes, ensuring research informs design decisions. Manage and direct UX team members to ensure quality delivery. Prioritize and manage multiple projects More ❯
manahers to define a multi-year vision for our Platform that balances composibility, consistency, extensibility, scalability, performance, developer experience. Define and drive the evolution of platform services - including storage models and capabilities, content API layers, and reusable abstractions. Driving reliability, scale, reuse, governance, and AI readiness across the entire ecosystem of Contentful. Champion domain modeling and work … of product management experience with at least 2+ years focused on core platform or developer-facing products . Deep familiarity with team topologies, platform as a product mindset, domain-driven design, schema evolution, and platform abstraction patterns. Experience building or scaling multi-tenant systems, public APIs, or internal extensibility frameworks. Proven ability to define and ship technical products More ❯
work aligns with Bede's wider technical strategy and roadmap. Work with Solution Architects and Business Analysts to design thoughtful, scalable solutions. Apply robust architectural practices such as domainmodelling to ensure our systems are clean, future-proof, and well-encapsulated. Execution Collaborate with team leads to finalise solution designs and guide teams through delivery. Provide hands-on More ❯
equivalent engineering qualification Eight or more years of experience in developing and delivering live, virtual, and constructive training systems for defense customers Solid appreciation of the land training domain and defense modeling and simulation standards (e.g., HLA, DIS, and other SISO/NATO standards) Proven experience applying the systems engineering lifecycle Proficiency in Model-Based Systems Engineering (MBSE More ❯
ML. Scaling ideas to reality is how we do our business! What does the team do? Serving recommendations to 300 million users entails developing large scale personalization and recommendation models that not only understand user needs and preferences, but also help 100 million+ creators grow their audiences on our platforms. A subset of the problems we tackle include: Create … personalized feeds for 300+ million users via real-time candidate generators, multi-task prediction models, whole-page optimization, and in-session personalization. Nurturing our creator ecosystem, and developing models for strategic content valuation. Multi-objective balancing and long term measurement. We rely extensively on state-of-the-art ML around personalization, deep learning, bandits, causal inference, optimization, ranking … such as: Recommendation Systems : Deliver a world-class personalized user experience by driving innovations in feed ranking and content recommendation. Trust & Safety : Safeguard the platform using advanced multi-modal models and behavior modeling & network analysis Advertising Models : Ensure sustained revenue growth by building models that optimize advertiser satisfaction without compromising user experience. Technical Leadership : Set the standard More ❯
