AI Jobs

Education Requirements:

• Bachelor's Degree in Computer Science, Information Technology, or a related field

Experience Requirements:

• Highly skilled and experienced Senior Front-End Engineer

• Proficient in building scalable and efficient user interfaces with React.js

• Expertise in JavaScript, including its various frameworks and libraries

Other Requirements:

• Ability to mentor junior engineers

• Experience with performance optimization

Responsibilities:

• Lead the design and implementation of front-end features

• Develop and maintain high-quality front-end code

• Implement cutting-edge front-end technologies, such as React.js

• Collaborate with designers to create visually appealing and user-friendly interfaces

• Contribute to the development of our company's technical strategy

Experience Requirements:

• Strong proficiency in Java

• Hands-on experience or solid understanding of Spring Boot and backend frameworks

• Knowledge of microservices architecture

• Experience with relational databases such as MySQL

Other Requirements:

• Familiarity with REST APIs, exception handling, logging, and security basics

• Exposure to cloud platforms (AWS) and containerization is a plus

• Strong problem-solving skills

• Ability to work collaboratively

Responsibilities:

• Design, develop, and maintain backend services using Java and Spring Boot

• Build and enhance RESTful APIs and microservices

• Write clean, efficient, and well-structured code

• Troubleshoot, debug, and resolve application issues across services

• Participate in unit testing, integration testing, and code reviews

Experience Requirements:

• 5+ years of hands-on experience as a Back-end developer

• At least 2 years in a leadership or mentorship capacity

• Proven experience designing and building large-scale, distributed systems

• Expertise in Java and deep knowledge of the Spring Boot framework

Other Requirements:

• In-depth understanding of database systems like MySQL or equivalent

• Strong proficiency with AWS or similar cloud platforms

• Solid understanding of RESTful API design principles and microservices architecture

• Excellent communication skills

• Knowledge of CI/CD processes, testing methodologies, and monitoring tools

Responsibilities:

• Take ownership of the full application lifecycle

• Lead development efforts and ensure scalable backend architecture

• Design and implement complex software systems

• Collaborate cross-functionally with Product and Front-end teams

• Mentor and lead a team of engineers

Experience Requirements:

• Minimum 5 years of experience in software development, integration, or related technical roles

• Strong proficiency in Spring Boot / Java, REST APIs, and Data Synchronization

• Hands-on experience with SQL and basic ETL processes

• Hands-on experience with version control (Git), build tools (Maven/Gradle), and scripting

Other Requirements:

• Ability to create detailed Low-Level Design documentation

• DevOps experience – Docker, CI/CD, logging, and monitoring is a plus

• Strong analytical and debugging mindset

• Excellent written communication

• Effective stakeholder collaboration

Responsibilities:

• Own the end-to-end build and deployment of integrations on the in-house iPaaS platform

• Translate high-level requirements into detailed Low-Level Designs

• Design and implement efficient, maintainable, and scalable integration workflows

• Develop and maintain reusable components, libraries, and templates

• Implement best practices for configuration management and code quality

Experience Requirements:

• 2+ years in software development or relevant technical roles

• Strong coding skills in Java / Spring Boot and REST APIs

• Hands-on experience with SQL and basic ETL processes

Other Requirements:

• Familiarity or willingness to learn DevOps practices, CI/CD, and monitoring tools

• Ability to follow structured SOPs and documentation standards

• Willingness to learn from senior engineers

• Strong attention to detail

• Clear written and verbal communication

Responsibilities:

• Build and test custom integrations under guidance

• Write automation tests, fix bugs, and perform SOP-based configuration updates

• Support deployments during UAT and Production phases

• Maintain and update internal documentation

• Learn and adopt best practices in DevOps, monitoring, and integration workflows

Experience Requirements:

• Hands-on experience as a Back-end developer with designing and building large-scale systems

• Expertise in Java and deep knowledge of the Spring Boot framework

• In-depth understanding of database systems like MySQL or equivalent

Other Requirements:

• Strong problem-solving abilities

• Excellent communication skills

• Strong proficiency with AWS or similar cloud platforms

• Solid understanding of RESTful API design principles and microservices architecture

• Knowledge of CI/CD processes, testing methodologies, and monitoring tools

Responsibilities:

• Take ownership of the full application lifecycle

• Drive development efforts for high-quality backend architecture

• Design and implement complex software systems

• Collaborate cross-functionally with Product and Front-end teams

• Perform thorough code reviews

Experience Requirements:

• Hands-on experience with AWS cloud services

• Basic Linux system administration skills

• Familiarity with Infrastructure as Code concepts

• Understanding of containerization technologies, particularly Docker

• Basic proficiency in scripting languages such as Python or Bash

Other Requirements:

• Experience with CI/CD pipeline concepts

• Strong problem-solving abilities and a growth mindset

• Familiarity with monitoring and observability concepts

• Understanding of JVM-based applications

• Excellent communication skills

Responsibilities:

• Transform infrastructure from manual EC2 instances to automated containerized platform

• Implement Infrastructure as Code solutions using Terraform

• Containerize applications using Docker and manage orchestration with Kubernetes

• Build and maintain CI/CD pipelines and GitOps workflows

• Implement monitoring and alerting solutions

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:

• 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:

• End-to-end ownership and technical autonomy

• Opportunity to build a generational AI Security product

• Work with a global team in a fast-moving, high-impact environment

• Competitive compensation and strong growth opportunities

Experience Requirements:

• Excellent experience with Python backend development

• Production level experience building solutions using with LLMs & Agentic AI systems(LangChain, LangGraph, PyTorch)

• Strong experience with Docker & Kubernetes in production

• Experience with MongoDB

• Strong understanding of GraphQL

Other Requirements:

• Experience with Terraform

• Knowledge of API security & rate limiting

• Experience with AWS, GCP, or Azure

Responsibilities:

• Design and build production-grade backend services in Python that power AI-driven security products

• Implement LLM-powered agent workflows for real-world AI Security use cases

• Design, implement, and maintain GraphQL APIs for internal and customer-facing systems

• Model, store, and optimize data in MongoDB for performance and scale

• Containerize applications with Docker and deploy, scale, and operate them using Kubernetes

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

Experience Requirements:

• At least 2 years working experiences in modern DevOps practices and microservice architecture

• Expertise in Kubernetes and containerization technologies

• Hands-on experience with platforms such as KubeFlow, Kserve, or equivalent

• Experience in ML Experimentation and registry platforms such as W&B or MLFLow

Other Requirements:

• Understanding of time series modeling and its data requirements

• Familiar with ML/NN frameworks

• Fluent in both written and spoken English; German is a plus

• Familiar with AWS or other cloud service providers is a plus

Responsibilities:

• Design and maintain scalable pipelines for deploying machine learning models

• Ensure models are securely integrated into production environments with minimal latency

• Implement monitoring systems to track model performance and flag issues

• Develop methods to evaluate and compare the performance of different models

• Automate processes for validating model accuracy and consistency

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

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:

• 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