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:

• 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

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

Experience Requirements:

• 6+ years in Applied ML/DS/AI

• 2+ years leading multi-workstream ML programs or teams

Other Requirements:

• Working knowledge of modern ML/LLM tooling (Python, PyTorch/TensorFlow)

• Healthcare curiosity and comfort with privacy/safety compliance

• Strong program management fundamentals

Responsibilities:

• Own the multi-track plan for ML projects from scoping to delivery

• Run the operating rhythm: backlog, sprint planning, and stand-ups

• Align Product, Engineering, Clinical, and Customer teams around priorities

• Review designs, sanity-check experiments, and partner on MLOps best practices

• Mentor ML engineers and data scientists

Benefits:

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

• Retirement plans (401k)

• Disability insurance

• Employee assistance programs

• Competitive compensation

Experience Requirements:

• 3–6 years of experience in applied ML

• 1–2 years working with LLMs

Other Requirements:

• Strong Python skills

• Familiarity with ML/LLM frameworks (PyTorch, Transformers, LangChain)

• Comfort with embeddings and vector search

• Experience in healthcare or regulated environments

Responsibilities:

• Own and optimize pipelines combining classical ML and LLM systems

• Fine-tune and evaluate LLMs using open-source and proprietary data

• Collaborate with teams to build healthcare applications

• Implement retrieval strategies and prompt chaining

• Monitor model quality, latency, and safety

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

Benefits:

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

• Retirement plans (401k)

• Disability insurance

• Employee assistance programs

• Competitive compensation

Experience Requirements:

• 5+ years in SRE/CloudOps roles

Other Requirements:

• Expertise in AWS, Azure, and GCP

• Hands-on experience with Terraform, Kubernetes, and Docker

• Scripting skills in Python, Bash, or Go

Responsibilities:

• Design and manage multi-cloud infrastructure

• Build deployment workflows using Terraform and CI/CD tools

• Define and uphold SLAs/SLOs and incident management

• Implement security controls for HIPAA and SOC2

• Configure AI platform and solutions at customer deployments

Benefits:

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

• Retirement plans (401k)

• Disability insurance

• Employee assistance programs

• Competitive compensation

Experience Requirements:

• 5+ years of hands-on experience in information security

Other Requirements:

• Focus on healthcare systems (EHRs, claims)

• Familiarity with HIPAA, HITECH, and SOC 2

• Cloud security background (Azure, GCP, AWS)

Responsibilities:

• Single point of contact for security and compliance

• Design security protocols for healthcare workflows

• Lead security assessments and penetration tests

• Embed security into the SDLC

• Conduct periodic vulnerability checks and internal training

Benefits:

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

• Retirement plans (401k)

• Disability insurance

• Employee assistance programs

• Competitive compensation

Experience Requirements:

• 5–8+ years in enterprise client success or account management

Other Requirements:

• Experience in healthcare and/or AI

• Proficiency in HubSpot, Monday.com, Slack

• Exceptional communication and storytelling skills

Responsibilities:

• Own end-to-end success of key enterprise customers

• Build and execute Account Plans and use case mapping

• Demonstrate measurable ROI through metrics and insights

• Lead strategic discussions and Quarterly Business Reviews (QBRs)

• Collaborate internally to unblock issues and drive product feedback

Education Requirements:

• Currently in your third or fourth year of a bachelor’s degree program

Other Requirements:

• Adaptable, collaborative, and always up for a challenge

• Proactive with an entrepreneurial spirit

Responsibilities:

• Gain real-world experience through branch operational roles

• Learn leadership skills

• Help to solve client problems

• Grow your professional network

Benefits:

• Diversity and inclusion commitment

• University sponsorship for bright women from disadvantaged backgrounds

Education Requirements:

• Technical background (Data Science, Machine Learning, or Engineering)

Experience Requirements:

• At least 3-5 years industry experience in a commercial, customer-facing environment

• End-to-end AI/ML product lifecycle understanding

• Strategic planning, time management, and problem-solving

Other Requirements:

• Right to Work status required

• Keen learner

Responsibilities:

• Build and maintain relationships with users and decision-makers

• Translate customer industry challenges into product opportunities

• Own the customer onboarding journey

• Support the running of customer delivery teams

• Find the next useful thing to build for a customer

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related technical field

Experience Requirements:

• 2-5+ years of experience in AI, ML, data-driven product development, or technical product management.

Other Requirements:

• Strong understanding of machine learning workflows, including data pipelines, model training/deployment, and MLOps

• Proven ability to manage the end-to-end product lifecycle — from concept to launch — in a technical environment

• Excellent communication skills, with the ability to explain technical concepts to non-technical audiences

• Strategic thinker with strong analytical and problem-solving abilities

Responsibilities:

• Drive AI Product Strategy: Define and execute the product vision and roadmap for AI and ML-based offerings

• Technical Partnership: Work closely with data scientists, ML engineers, and software developers to translate business problems into technical requirements

• Model Integration & Optimization: Oversee how AI models integrate with existing systems and ensure performance optimization and reliability

• Market & Technology Research: Analyze trends in artificial intelligence, generative AI, and automation

• Cross-Functional Collaboration: Partner with design, engineering, and operations teams to define requirements and manage trade-offs

Benefits:

• Competitive compensation with equity

• 100 percent covered health, dental, and vision with HSA

• 401k plan with match

• Remote-first with Open PTO

• Annual company retreats

Education Requirements:

• Bachelor’s degree required

• MBA a plus

Experience Requirements:

• 10+ years in B2B SaaS with meaningful enterprise customer ownership

• Proven commercial ownership of renewals and expansions

• Track record building and leading Customer Success organizations at growth-stage companies

• Strong executive presence and ability to translate usage into ROI narratives

• Operational excellence in building playbooks and accountability systems

Other Requirements:

• Bias to action, ownership, and clear metrics

• Comfort with ambiguity and fast iteration

• Team-first, candid communication, and high standards

• Player-coach mindset

Responsibilities:

• Own Gross Revenue Retention (GRR) and Net Revenue Retention (NRR)

• Own renewal strategy and execution end to end

• Serve as executive sponsor on most strategic accounts

• Lead the Customer Success organization across Delivery and Growth lanes

• Build a disciplined feedback loop from enterprise customers into Product and GTM