AI Jobs

Benefits:

• Exposure to different cultures

• Opportunity to do business in multiple countries

Experience Requirements:

• At least 4 years of experience in sales

• Proven track record in SaaS or tech solutions

• Experience with B2B clients

• Skilled in managing a full sales cycle

• Experience with CRM systems like Hubspot

Other Requirements:

• Excellent communication skills in English

• Ability to travel bi-monthly for client meetings

• Self-motivated and able to work independently

• Maturity to thrive in a feedback-driven culture

• Proficiency in additional languages is a plus

Responsibilities:

• Prospecting and converting potential clients

• Owning the sales pipeline and follow-ups

• Delivering compelling sales pitches

• Negotiating contracts and closing deals

• Account management and relationship building

Benefits:

• Develop the next features to be introduced by large global companies

• Work at the leading edge of some of the most advanced technologies in the world

• Collaborate with and learn from experts in the field of imaging sensors and computer vision

• Work on technology that has an extensive background of R&D

Education Requirements:

• Degree in Computer Science, Electrical Engineering or other relevant fields

Experience Requirements:

• Strong embedded coding skill and understanding of object-oriented programming (OOP)

• Proficiency in C/C++, Python, VHDL/Verilog, or similar

• Familiarity with developing algorithms on MCUs with tight compute, memory, and power constraints

• Fluent in English

• Relevant experience obtained through schoolwork, classes, project work, internships, and/or military experience

Other Requirements:

• Proficiency in model deployment tools such as TensorFlow Lite for Microcontrollers, ONNX Runtime

• Experience in optimizing and quantizing ML models for real-time inference on edge devices

• Strong background in computer vision and embedded systems

• Experience working with hardware and hardware design engineers

• Solid troubleshooting and communication skills

• Self-learner and independent problem solver who thinks creatively

• Hard-worker and result oriented individual who challenges the status-quo

• Comfortable working in a fast-paced and dynamic environment and interfacing with customers

Responsibilities:

• Develop breakthrough technology

• Design and develop innovative imaging solutions

• Implement new features

• Collect and analyze data

• Write embedded software and coding Verilog for an FPGA

Other Requirements:

• Already eligible to work in the UK

• Able to be in the Chichester facility regularly

Responsibilities:

• Submit application for future software, mechatronics, robotics, and test engineering vacancies

Education Requirements:

• MEng or equivalent degree (nice to have)

Experience Requirements:

• Expert-level proficiency in at least one MCAD package (e.g. NX, SolidWorks, Fusion 360)

• Strong mechanical engineering background with design for manufacture knowledge

• Experience leading or owning end-to-end hardware systems

• Experience defining or scaling engineering processes from prototype to operation

• Python (or similar) capability for data analysis

Other Requirements:

• PCB design or EMC design experience

• Background in robotics, autonomous systems, or complex electromechanical products

• Experience supporting the transition from R&D into production

Responsibilities:

• Owning the mechanical and electrical architecture of the drone platform

• Leading transition from prototype to repeatable low-volume production

• Guiding design and integration of sensors, electronics, structures, and networking

• Translating operational feedback into technical priorities and design improvements

• Defining and overseeing hardware testing programmes

Benefits:

• Work at the forefront of autonomous aviation in the UK

• Apply drone experience in nationally significant operations

• Gain hands-on exposure to advanced autonomous systems

• Develop operational and technical capability

• Competitive salary based on experience

Experience Requirements:

• Some practical drone flying experience

• Highly tech-literate and comfortable learning new systems

• Based in the UK

• Full UK manual driving licence

• Unrestricted right to work in the UK

Other Requirements:

• Willingness to travel frequently across the UK

• Confidence working independently in field-based roles

• Clear communication skills

Responsibilities:

• Operating advanced autonomous drone missions via computer interfaces

• Supporting the planning and execution of infrastructure inspections

• Coordinating operational logistics (site access, weather analysis, travel)

• Capturing and validating inspection data

• Working with engineers to provide structured operational feedback

Benefits:

• Work at the forefront of autonomous aviation in the UK

• Help shape how advanced drone operations are regulated

• Play a strategic role in international expansion

• Collaborate closely with leadership and technical teams

• Competitive salary based on experience

Experience Requirements:

• Strong working knowledge of UK CAA drone regulations

• Experience operating within structured regulatory environments

• Sound judgement in interpreting evolving regulatory frameworks

• High attention to detail and documentation discipline

• Ability to balance safety, compliance, and commercial delivery

Other Requirements:

• Experience with BVLOS or advanced drone operations

• Exposure to EASA regulatory frameworks

• Experience developing or managing Safety Management Systems

Responsibilities:

• Delivering regulatory strategy and securing new approvals

• Managing transition toward SORA-based approvals

• Supporting teams with regulatory input on feasibility

• Maintaining and updating documentation for regulatory submissions and audits

• Leading internal compliance efforts to ensure adherence to authorisations

Benefits:

• Generous equity package

• Regular socials

• Beautiful office in converted Victorian school

• On-site cafe and nursery

• On-site gym, pool, and tennis courts

Experience Requirements:

• Interest in HR, employment legislation, and good people practice

• Confidence handling everyday people matters fairly and discreetly

• Ability to balance care for employees with high performance standards

• Right to work in the UK

Other Requirements:

• Highly organised individual

• Comfortable acting with incomplete information

Responsibilities:

• Ownership of day-to-day business, people, and office operations

• Using systems and tools to track work and strengthen processes

• Ensuring practical, compliant people processes (onboarding, policies)

• Acting as a trusted first point of contact for people and office matters

• Coordinating actions across teams to ensure priorities progress

Experience Requirements:

• Multiple years of proven experience within the cybersecurity B2B industry in direct sales roles.

• Previous experience in an early-stage, fast-growing startup environment, with a focus on growing sales in the US market.

• Proven track record of building your own pipeline and closing deals.

Other Requirements:

• Excellent written and oral communication, as well as negotiation skills.

• A team player with a positive attitude who loves a challenge, listens to clients, and proposes solutions.

Responsibilities:

• Manage the entire sales cycle, from identifying new opportunities to closing deals and fostering long-term partnerships.

• Work cross-functionally with other teams, including BDR, Marketing, Product Marketing, and Product Management.

• Manage your sales pipeline to meet revenue targets and company goals.

• Serve as the voice of the customer, collecting feedback to drive continuous improvement across all areas, including product

Benefits:

• 1,000 € per month

Education Requirements:

• Bachelor or Master student in Mechatronics or Mechanical Engineering

Experience Requirements:

• Knowledge of vehicle dynamics and signal processing

• Proficiency in Matlab/Simulink and Python for data analysis and scripting

• Experience with time-series data analysis is a plus

Other Requirements:

• Strong analytical and problem-solving mindset

• Interest in innovative automotive technologies development

Responsibilities:

• Collaborate hand-in-hand with Data-Scientists to support the development of a cutting-edge automotive solution

• Understand and modify an existing approach to adapt to challenges from low frequency time series

• Imagine, implement and evaluate different approaches for this Virtual Sensor

• Contribute to an exploratory phase of a Virtual Sensor to shape a new market positioning

Education Requirements:

• Degree in Computer Science, IT, or a related field

Experience Requirements:

• 3+ years of hands-on experience in infrastructure design and operations

• Strong knowledge of Docker and Kubernetes in production environments

• Proven experience building and maintaining CI/CD pipelines

• Proficiency with Infrastructure as Code tools (e.g., Terraform, CloudFormation, or Pulumi)

Other Requirements:

• Solid understanding of security best practices and compliance standards

• Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack, Datadog)

• Fluent in English; excellent communication and collaboration skills

Responsibilities:

• Architect, deploy, and maintain highly available, secure, and scalable production clusters

• Develop and optimize containerized applications using Docker and Kubernetes

• Design, implement, and maintain end-to-end CI/CD pipelines

• Establish and enforce IaC principles using tools such as Terraform, CloudFormation, or Pulumi

• Integrate security best practices into all DevOps processes

Education Requirements:

• Graduation in electronics, mechatronics, mechanical engineering or similar education

Experience Requirements:

• 5+ year experience in physical modelling and system-based approaches for vehicle dynamics

• Solid understanding of vehicle dynamics and signal processing

• Experience with deployment of functions in embedded systems

• Experience with Matlab/Simulink

Other Requirements:

• Knowledge about Machine Learning concepts will be highly appreciated

• Experience with Python will be highly appreciated

Responsibilities:

• Process and analyze large-scale time-series data from vehicle sensors using advanced signal processing

• Develop data-driven simulation models to estimate vehicle component loads

• Implement and optimize numerical models for vehicle dynamics applications

• Work with Python and/or Matlab/Simulink for data analysis, simulation, and model validation

• Collaborate with cross-functional teams to integrate simulation models into automotive software

Education Requirements:

• Bachelor's degree or higher in Engineering, Electronics, Telecommunications, Robotics, Software Engineering, Computer Science, Physics, or a related field

Experience Requirements:

• At least 3 years of experience in technical project management within the tech industry

• Proven track record of effective collaboration with IT, engineering, and cross-functional teams

• Strong hands-on experience with Scrum and Agile methodologies

Other Requirements:

• Familiarity with Machine Learning concepts and development toolsets

• Fluent in English (written and spoken); German proficiency is a plus

• Strong problem-solving skills, attention to detail, and proactive mindset

Responsibilities:

• Facilitate Scrum events for multiple development teams

• Remove impediments through collaboration and shield teams from external distractions

• Create and manage product backlogs for multiple products in collaboration with Product Owners

• Manage key projects end-to-end from planning and execution to risk management

• Coordinate cross-functional teams across engineering, business, and infrastructure

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:

• Professional development budget

• Exposure to founders and new technologies

• Full-stack ownership of customer programs

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

Other Requirements:

• Hands-on expertise with LLMs (GPT, BERT) and CV models

• Proficiency in Python and ML frameworks like PyTorch

• Knowledge of Cloud ML Platforms (Azure ML, Sagemaker)

Responsibilities:

• Fine-tune LLMs for healthcare applications

• Develop state-of-the-art VLM models for medical document analysis

• Create classic NLP models for patient interaction

• Manage model deployment in production environments

• Mentor junior staff

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