The primary purpose of this role is to lead the way in utilizing Al techniques to enable AAL to deliver better customer outcomes, automate processes and make optimal business decisions which deliver real organisational value.
Responsibilities
Work with business stakeholders to understand the problem behind each request, define what success looks like and decide whether AI is the right answer at all
Apply human judgement to determine the best AI solution (rules, statistical model, LLMs or agentic) that best balances accuracy, explainability, cost and risk
Design and develop AI solutions end-to-end, from data exploration and feature engineering through to modelling, prompt design and agent orchestration
Put models into production using systematic testing, quality assurance and ongoing monitoring for performance, drift and integrity
Understanding AI risk and developing and documenting solutions with the right controls and guardrails in place to manage risk
Requirements
Degree in a highly quantitative field such as Computer Science, Mathematics, or Statistics (or equivalent)
Web software developer supporting NASA’s Johnson Space Center in designing, developing, and testing data production environments for the Artemis Program.
Compensation
The proposed salary range for this position is: $76,000 - 155,700 USD
Responsibilities
Develop web and database applications and APIs for the Space System Data Models and Data Production Services
Develop new software features based on customer needs
Perform testing to verify that requirements are met
Troubleshoot Galactic Data Services discrepancies
Adhere to JSC standard software process practices
Requirements
Bachelor’s degree in computer science; computer, software, aerospace, electrical, or systems engineering; or a related discipline
Lead the design, build, and maintenance of backend services and frontend components for a multi‑tenant SaaS platform that connects utilities with consumer platforms.
Responsibilities
Design, build, and maintain scalable APIs and backend services with TypeScript and Node.js/NestJS.
Contribute to frontend development with TypeScript and React.
Deliver reusable, well‑tested code.
Build integrations connecting utility systems with external consumer platforms.
Develop secure data exchange services within a multi‑tenant SaaS architecture.
AI Search Specialist focused on accurate representation across AI-powered search and generative platforms, turning performance data into automated insights and scalable workflows.
Compensation
For this role, the Annual Base Salary ranges from 651,000.00 to 956,900.00 DKK, corresponding to the level of the position.
Responsibilities
Build and maintain AI search dashboards tracking visibility, share of voice, citation rate, ranking, sentiment and source influence across markets.
Analyse GEO performance across prompt clusters, LLM outputs and third-party citations.
Identify gaps and turn findings into prioritised recommendations with clear owners.
Improve discoverability and AI readability through crawlability, indexation, metadata, schema, internal linking, semantic structure and page experience.
Develop scalable AI agents and automation workflows for insight generation, content briefs, reporting and market activation.
Requirements
Bachelor's degree in Marketing, Digital Media, Computer Science, Data Analytics or a related field
Financial Analyst responsible for financial planning, analysis, budgeting, forecasting, cost analysis, and reporting to support business decisions.
Compensation
Competitive compensation package
Responsibilities
Partner with department leaders to understand business activity, evaluate financial performance, and support planning decisions
Support annual budgeting and ongoing forecasting, including developing assumptions, reviewing departmental submissions, and updating financial projections
Analyze actual results against expectations, identify meaningful trends, and explain the operational factors driving financial variances
Prepare recurring management reports and financial presentations that clearly communicate results, risks, and opportunities
Evaluate costs and resource utilization across departments and business activities to help leaders better understand operating performance
The Data Science team is hiring an experienced Machine Learning Engineer with a background building machine learning and statistical modeling frameworks from scratch to optimize modeling processes and improve Swish products.
Compensation
starting at $160,000 base plus bonus potential
Responsibilities
Design, prototype, implement, evaluate, optimize systems to generate sports datasets and predictions with high accuracy and low latency.
Evaluate internal modeling frameworks and tools to optimize data scientist's modeling workflow.
Build, test, deploy and maintain production systems.
Work closely with DevOps and Data Engineering teams to assist with implementation, optimization and scale workloads on Kubernetes using CI/CD, automation tools and scripting languages.
Support maintenance and optimization of cloud-native EDW and ETL solutions.
A Senior Software Engineer role focused on research, advanced data architecture, and digital twins within complex manufacturing and lithium-ion battery technology environments.
Compensation
Base salaries which exceed local & national industry averages. Year-end performance-based bonuses.
Responsibilities
Conduct research and learn advanced concepts across engineering disciplines
Communicate findings to experts and non-experts
Design and maintain data models and digital architectures
Apply machine learning and AI to optimize manufacturing processes
Integrate digital twins and simulation data
Requirements
Bachelor's degree in Computer Science, Software/Electrical Engineering
Support the design, development, and implementation of operational programs, processes, and solutions that align with business objectives.
Compensation
$75,000-$95,000
Responsibilities
Support the design, development, and implementation of operational programs, processes, and solutions that align with business objectives.
Analyze and develop reporting for operational data, performance metrics, and trends to identify gaps, risks and opportunities for measurable improvement.
Partner with business and technical teams to translate operational requirements into standardized processes, frameworks and measurable performance standards.
Create and maintain clear, accurate program documentation, including process guides, standard operating procedures, quality standards and reporting to support consistency and knowledge sharing.
Develop and maintain quality standards, audit checklists and validation processes and monitor adherence to drive consistent service quality.
Requirements
Associate’s or bachelor’s degree in a related field or demonstrated experience
Software Development Specialist 1NewState of Ohio · Columbus, US
Data ScientistNewAllianz Trade · Sydney, Australia
Salesforce DevNewValce Talent Solutions · Remote
Senior Full-Stack Node EngineerNewJobsity · Latin America
AI Search SpecialistNewNovo Nordisk A/S · Ørestad, Denmark
Financial AnalystNewArkansas Talent Group · Little Rock, US
Machine Learning EngineerNewSwish Analytics · Remote, US
Senior Software EngineerNewInteger Technologies · Columbia, US
Technical Operations Program ManagerNewRazor · Fargo, US