AI Jobs

Education Requirements:

• BS degree or equivalent experience in a computational science or technical field

Experience Requirements:

• Prior use of SQL in academic or professional environment

• Design and/or maintenance of large datasets

• Exposure to cloud engineering

• Understanding of serverless architecture and design principles

• Experience handling large datasets and time-series data

Other Requirements:

• Skills in SQL and Python

• Willingness to conduct business during non-traditional hours

• Highly self-motivated and flexible

Responsibilities:

• Develop and maintain basic ETL processes using Python and SQL

• Monitor batch processing pipelines and troubleshoot simple data issues

• Write and optimize basic SQL queries for data retrieval

• Maintain accurate documentation and utilize Git for version control

• Participate in code reviews and learn cloud platform basics

Education Requirements:

• Currently pursuing an undergraduate or graduate degree in economics, statistics, mathematics, computer science, data science, or related field

Experience Requirements:

• Foundational programming experience with R, Python, or similar

• Familiarity with SQL

• Basic proficiency with Microsoft Office

• Exposure to data visualization tools preferred

Other Requirements:

• Interest in sports business and fan engagement

• Strong analytical thinking and problem-solving abilities

• Ability to manage time effectively and meet deadlines

Responsibilities:

• Aggregate, clean, and transform data for analysis

• Assist in building reports and dashboards using Tableau

• Support ad-hoc analysis requests across departments

• Assist with CRM data quality initiatives in Salesforce

• Contribute to consumer insights projects

Benefits:

• A multicultural environment that promotes a healthy work-life balance

• An attractive remuneration package

• 15 days of annual leave

• A talented team from all over the world to work with

• Working with cutting-edge IoT and Smart Home technologies (Matter, Thread, Wi-Fi Sensing)

Experience Requirements:

• Experience in writing working software in Ruby (Ruby on Rails)

• Work experience with Scala (or Java, or Kotlin used for server-side applications)

• Passionate about high-quality software products

• Used SQL and you may even like it

• Hands-on experience with Kafka and stream processing

Other Requirements:

• Effective communicator in English (written and verbal)

• Able to adapt quickly to changing requirements and work with a bit of ambiguity

• You know your way around Linux

Responsibilities:

• Design, develop, and maintain our cloud system with the focus on availability, security, low latency

• Design and implement automated software tests

• Collaborate closely with firmware and mobile developers to deliver a great experience to our customers

• Take responsibility for the operations of the software in production

• Improve and clean up our codebase whenever there is an opportunity

Benefits:

• Flexibility for life's demands

Other Requirements:

• Ability to work from Virginia HQ 5 days a week

• Face-to-face collaboration and hands on work interfacing with robotics and hardware

Benefits:

• Competitive salary

• Meaningful equity package

Experience Requirements:

• 5+ years backend engineering (Python & TypeScript-first)

• Production experience in serverless

• Hands-on with generative AI (Claude/OpenAI or equivalent) in production

Other Requirements:

• Deep knowledge of AWS serverless (Lambda, DynamoDB, API Gateway)

• Strong AWS CDK or CloudFormation skills

• Proficiency with AI coding tools

• Ability to design multi-tenant, scalable systems

Responsibilities:

• Architect serverless microservices powering core APIs

• Develop advanced LLM features and context orchestration

• Design and optimize RAG pipelines using AWS Bedrock

• Define AWS CDK (TypeScript) IaC for all backend resources

• Maintain SOC 2 Type II and Google CASA compliance posture

Benefits:

• Competitive salary

• Meaningful equity package

Experience Requirements:

• 3-5+ years of professional software engineering experience

• Strong proficiency in React + TypeScript

Other Requirements:

• Experience building modern, component-based web applications

• Curiosity about browser extensions and/or Office Add-ins

• Experience with AI coding tools (e.g., Cursor, Claude Code)

• Excellent communication skills

Responsibilities:

• Build and enhance React-based front-end stack

• Implement reusable React components

• Create abstraction layers to maximize code reuse

• Iteratively improve UX based on customer feedback

• Implement automated UI testing

Benefits:

• Opportunity to lead the AI roadmap

• Collaborative and pragmatic engineering culture

• Direct collaboration with the CTO

• Flexible hybrid setup

Experience Requirements:

• 5+ years of experience in applied Machine Learning

• 3+ years in computer vision

Other Requirements:

• Experience with PyTorch, TensorFlow, OpenCV, and Python

• Understanding of CNNs and vision transformers

• Experience with training pipelines and hyperparameter optimization

• Familiarity with model deployment (FastAPI, TorchServe, etc.)

• Experience with GCP and Docker

Responsibilities:

• Lead model development for computer vision and 3D tasks

• Evaluate and integrate pre-trained models

• Train and fine-tune models on in-house datasets

• Deploy models to production

• Maintain and monitor production models

Benefits:

• Remote and flexible working

• 25 days annual leave plus bank holidays

• Enhanced Pension Scheme

• Private medical cover (Vitality)

• £100 per month home-working allowance

Experience Requirements:

• Consistent high performer with a strong track record in enterprise or SaaS sales

• Significant experience selling Contact Centre software or technology solutions

• Skilled in influencing senior decision-makers (CIOs, Directors)

• Strong consultative seller able to articulate ROI and business value

• Technically confident with ability to translate complex solutions

Other Requirements:

• Experience selling into local government is advantageous

Responsibilities:

• Convert marketing-qualified leads and drive trial-to-contract conversion

• Build and manage a robust enterprise sales pipeline

• Develop strong relationships with senior stakeholders

• Deliver compelling product demonstrations and ROI-driven proposals

• Co-sell with Microsoft and collaborate on joint go-to-market strategies

Benefits:

• Private Healthcare (Vitality)

• Company Bonus Scheme

• £1200 annual remote working allowance

• Enhanced Pension Scheme

• 25 days holiday plus bank holidays

Education Requirements:

• Azure certifications such as AZ-900, AZ-104 or AZ-305

Experience Requirements:

• Experience deploying and monitoring applications on the Azure platform

• Strong SQL Server skills (executing scripts, troubleshooting)

• Proficient in PowerShell scripting and automation

• Experience running and validating deployment test scripts

• Solid understanding of Azure cloud services and configuration principles

Other Requirements:

• Experience with Azure DevOps deployment pipelines

• Familiarity with Azure SQL, Virtual Machines, Function Apps, Web Apps and AI Foundry Services

• Experience with GitHub or other version control systems

• Knowledge of Office 365 and the Power Platform

Responsibilities:

• Deploy applications and update packages into Azure using predefined infrastructure

• Collaborate with development teams and customers to complete JSON/XML application configuration

• Execute and validate SQL Server scripts for database setup and management

• Run PowerShell scripts and automate elements of the deployment workflow

• Coordinate with customer IT teams to plan and troubleshoot deployments

Benefits:

• Competitive salary

• Opportunities for professional growth

• Work remotely with flexible arrangements

• Supportive, innovative culture

Education Requirements:

• Professional certifications in Azure, .NET, or UX

Experience Requirements:

• Deep expertise in React.js, TypeScript, modern front-end frameworks, and .NET Core / .NET 6+ (C#)

• Proven experience leading or architecting complex full-stack solutions

• Experience with AI tools (e.g., Galileo, Figma, GitHub Copilot, Midjourney)

• Strong understanding of RESTful APIs, microservices, SQL Server, and Entity Framework

• Excellent communication skills and ability to work in an agile environment

Other Requirements:

• Experience with cross-platform app development (.NET MAUI, Swift, Kotlin)

• Familiarity with GenAI API integration, Semantic Kernel, or MAF

Responsibilities:

• Lead the design, development, and deployment of robust, scalable full stack solutions

• Collaborate with cross-functional teams to deliver exceptional user experiences

• Architect and implement new product features and modules

• Mentor and guide developers, fostering technical excellence

• Contribute to the integration of AI/ML and GenAI APIs

Benefits:

• Competitive Salary: £70,000 – £90,000 basic + OTE

• Flexible & Remote Working Options

• Enhanced Pension Scheme: 5% employer contribution

• Generous Holiday: 25 days + bank holidays

• Annual Work-from-Home Allowance: £1,200

Experience Requirements:

• Proven success in B2B technology sales, SaaS, or EdTech

• Experience with consultative selling and complex sales cycles

• Strong understanding of higher education challenges

• Excellent relationship-building, negotiation, and communication skills

• Tech-savvy and eager to learn AI solutions

Other Requirements:

• Previous sales management experience is a plus

Responsibilities:

• Manage the full sales cycle from lead qualification to contract closure

• Develop and execute strategic sales plans for the higher education sector

• Build relationships with C-level decision-makers (CIO, COO, Vice Chancellor)

• Deliver consultative sales presentations and AI solution demos

• Collaborate with Microsoft partners and internal teams

Other Requirements:

• Passion for building on the bleeding edge of technology

• Passion for helping businesses scale in different industries

Responsibilities:

• Pushing your business forward into the age of AI

Benefits:

• Bi-weekly Pay

• Uniform Provided

• Regular Evaluations + Raise Opportunities

• Supportive Leadership

• 401(k) after 12 months

Other Requirements:

• Valid Florida Class D Security License

• Driver’s License for driving positions

• Clean background & drug screen

• Reliable transportation

• Comfortable working outdoors in high heat

Responsibilities:

• Stationed at fixed site (gated entry, condos)

• Use smartphone app for check-ins and reports

• Maintain professional appearance

• Deliver high-level customer service

• Take initiative in local safety

Benefits:

• Competitive Pay & Equity (Share Options & Bonuses)

• 30 vacation days & company shutdown

• Hybrid Work & MacBook (€500 remote budget)

• Green Mobility Perks (Deutschlandticket & bike leasing)

• Fitness & Wellness via Urban Sports Club

Benefits:

• Competitive Pay & Equity (Share Options & Bonuses)

• 30 vacation days & company shutdown

• Hybrid Work & MacBook (€500 remote budget)

• Green Mobility Perks (Deutschlandticket & bike leasing)

• Fitness & Wellness via Urban Sports Club

Benefits:

• Competitive Pay & Equity (Share Options & Bonuses)

• 30 vacation days & company shutdown

• Hybrid Work & MacBook (€500 remote budget)

• Green Mobility Perks (Deutschlandticket & bike leasing)

• Fitness & Wellness via Urban Sports Club

Benefits:

• 100% employer-paid health, vision, and dental insurance

• Retirement plans (401k)

• Disability insurance

• Employee assistance programs

• Competitive compensation

Education Requirements:

• PhD or Master’s in ML, CV, NLP, or related field

Experience Requirements:

• 5+ years of experience working on vision or VLMs

• Proven experience applying ML to healthcare documents or medical imaging

Other Requirements:

• Hands-on with PyTorch, HuggingFace, OpenCLIP

• Deep understanding of HIPAA and PHI protection

• Comfortable with RAG pipelines

Responsibilities:

• Research and build state-of-the-art VLM pipelines for medical documents

• Fine-tune or adapt models like BLIP-2, LLaVA, GLaMM

• Develop multimodal grounding strategies for RAG and Agent workflows

• Evaluate models for factuality, safety, and explainability

• Collaborate with product engineers to deploy models at scale

Benefits:

• 100% employer-paid health, vision, and dental insurance

• Retirement plans (401k)

• Disability insurance

• Employee assistance programs

• Competitive compensation

Education Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or Data Science

Experience Requirements:

• 5-7 years of experience in machine learning engineering

• Track record in production grade models in a regulated industry

Other Requirements:

• Expertise in GPT, BERT, and computer vision models

• Proficient in Python, TensorFlow, PyTorch

• Working knowledge of MLOps and LLMOps (mlflow, kubeflow)

Responsibilities:

• Fine-tune or prompt engineer LLMs for healthcare applications

• Develop vision-based models for medical document analysis

• Create classic NLP models for clinical documentation

• Ensure efficient model deployment and scalability

• Mentor junior engineers and data scientists

Benefits:

• 100% employer-paid health, vision, and dental insurance

• Retirement plans (401k)

• Disability insurance

• Employee assistance programs

• Competitive compensation

Education Requirements:

• Bachelor’s degree in a healthcare-related field

Experience Requirements:

• 5+ Years of experience in healthcare data/research

Other Requirements:

• Knowledge of clinical coding systems (ICD-10, CPT, SNOMED CT)

• Familiarity with EMR systems

• Certification in medical coding (CPC, CCS) preferred

Responsibilities:

• Provide clinical guidance for AI co-pilots

• Develop annotation guidelines for healthcare data

• Review and annotate clinical documents like EMRs and medical charts

• Tag data using standard clinical terminologies

• Perform quality control and inter-annotator agreement checks

Benefits:

• 100% employer-paid health, vision, and dental insurance

• Retirement plans (401k)

• Disability insurance

• Employee assistance programs

• Competitive compensation

Education Requirements:

• MD, DO, or equivalent

Experience Requirements:

• 10+ years of clinical practice

Other Requirements:

• Background in utilization management and health system workflows

• Experience launching digital health or AI solutions

• Familiarity with regulatory standards (CMS, FDA)

Responsibilities:

• Define and champion the clinical vision across the platform

• Lead clinical validation and QA protocols

• Hire, mentor, and lead a clinical organization

• Serve as trusted clinical executive for enterprise customers

• Build a Clinical Governance Framework for AI safety