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BISHOP'S STORTFORD

Senior Data Scientist As a Senior Data Scientist, you’ll work at the intersection of advanced sensing, optics, electronics, and computation, pushing the limits of what can be detected and understood. You’ll take ownership of the complete data analysis pipeline for our next-generation microscopy platform: from sensor characterization and noise modelling to algorithm development and physical data interpretation. Your goal is to extract robust insights from complex experimental datasets and turn them into smarter instruments, faster measurements, and tangible value for the semiconductor industry. Your ResponsibilitiesAnalyse large and noisy experimental datasets from high-precision microscopes, design robust algorithms, and extract physics-based insights.Develop and validate advanced signal-processing and statistical-analysis methods that enhance the resolution, speed, and robustness of our sensing platform.Design and interpret experiments involving optics, electronics, and digital systems to identify and mitigate performance bottlenecks.Translate analytical findings into actionable improvements for both hardware and software, working closely with engineering teams to implement them.Mentor junior team members, ensuring best practices in analysis, reproducibility, and documentation.Communicate results clearly to both technical peers and external industry partners.Your ProfilePhD in Physics, Electrical/Optical Engineering, Applied Mathematics, or a related discipline (exceptional MSc candidates with 6+ years of relevant R&D experience welcome).Minimum 4 years of experience applying data science in experimental or instrumentation-driven environments (semiconductors, photonics, imaging, or sensing).Proven expertise in statistical data analysis, experimental design, and advanced signal processing.Track record of developing and deploying algorithms using version control and reproducible workflows.Hands-on mindset and comfort working closely with hardware in the lab.Excellent communication skills; able to turn complex data into clear, actionable insights.(Nice to have) Background in quantum measurement techniques, advanced microscopy, or semiconductor device physics.Our BenefitsCompetitive salary with equity participation30 days of paid vacation plus public holidaysCompany-sponsored Well pass membershipAnnual learning & development budgetRegular team events and off sites

Your Mission As a Senior ML/AI Engineer, you will lead the design, deployment, and scaling of ML/AI models in production. This is a high-ownership role where you will act as both a technical expert and a strategic thinker — ensuring delivery of robust, scalable models while aligning closely with stakeholder needs and business KPIs. You will work cross-functionally with both technical and business teams to craft tailored, high-impact AI solutions that drive real-world value. Responsibilities On the Business SidePartner with clients and internal stakeholders to understand strategic objectives and uncover ML/AI opportunities.Assess feasibility by analyzing available data sources and proposing realistic, impactful solutions.Define project goals, success criteria, and measurable KPIs in alignment with business needs.On the Technical SideLead the design and development of machine learning models using PyTorch, TensorFlow, or similar frameworks.Implement best-in-class MLOps practices to automate training, deployment, and monitoring of models (e.g., with Kubeflow).Build and optimize scalable pipelines for data ingestion, model training, evaluation, and inference.Ensure full automation from preprocessing to production, with robust testing and CI/CD integration.Collaborate closely with data engineers and platform teams to ensure model performance, reliability, and maintainability.Candidate Profile5+ years of hands-on experience in ML/AI engineering or data science roles.3+ years of experience with Google Cloud Platform (GCP), including hands-on use of Vertex AI and BigQuery.Proven experience delivering production-grade models and scalable ML systems.Strong knowledge of ML algorithms, model development, deployment, and lifecycle management.Proficiency in Python and ML frameworks such as TensorFlow or PyTorch.Expertise in MLOps tooling and automation (e.g., Kubeflow, MLflow, Vertex AI Pipelines).Experience applying LLMs, especially in Retrieval Augmented Generation (RAG) workflows.Familiarity with data preprocessing, model tuning, and performance optimization.Clear communicator with the ability to translate complex ideas to technical and non-technical audiences.Fluent in English (French or Spanish is a plus).Eligible to work in Europe.Bonus SkillsExperience with LangChain, LangGraph, or dbt.Prior involvement in consulting or client-facing AI/ML projects.Contribution to open-source or published work in AI/ML communities.Why Join The company values:Generosity – giving back through open-source and community initiatives.Transparency – every voice matters; decisions are shared and aligned.Growth – continuous learning and experimentation encouraged.Ownership – responsibility and impact are celebrated.Trust – people are valued as individuals, not just colleagues.Ever-learning – time is dedicated to innovation, training, and knowledge-sharing.This is an opportunity to grow, contribute, and make a meaningful impact — both inside the company and in the wider AI/ML community.

I'm hiring for a Senior AI Research Engineer for an already successful company pivoting into a new domain.  Role: Senior AI Research EngineerSalary: Up to €140,000 + Bonus Location: Remote in Europe or based in Paris Embark on a transformative journey in AI and Video Generation as an Applied Research Engineer/AI Engineer. Focus on developing lifelike human motions and animations without the need for a studio, revolutionising humanoid animation for the future. Areas of Research:Research & develop cutting-edge AI Video Generation technology.Develop AI Character Motion Control using Diffusion Models.Work on realistic Future-oriented humanoid animation. Role Requirements:A minimum of 5 years of hands-on experience in Computer Vision, with a more recent focus Diffusion Models.Extra credit for specialised knowledge in Motion Control. For more information apply with your details and let’s discuss the next steps.