CrawlJobs Logo

Scientist – Human Safety

United Kingdom, Sharnbrook · Job Posted March 01, 2026
Apply Position
Job Link Share

Job Description

At Unilever, we are committed to developing safe & sustainable products for our consumers. As a Toxicology Safety Scientist in our Safety, Environmental & Regulatory (SERS) team, you will provide scientific expertise to assure the safety of Unilever ingredients for consumers who use our products and the workers who make them. You will be joining a team of safety scientists, where you will be supported in your own development, while also being expected to help others grow in their roles. You will work as part of multidisciplinary teams (including biologists, bioinformaticians, computational chemists, and mathematical modellers), to apply novel, mechanistic approaches to safety assessment.

Job Responsibility

  • Assess human safety risks associated with ingredients with an emphasis on applying novel (non-animal) approaches
  • Deliver transparent, well documented, exposure-based risk assessments to enable robust decision-making
  • Contribute to the evolution of our approach to exposure-driven risk assessment including working with external groups
  • Build an understanding of the wider issues surrounding the use of ingredients and products
  • Provide stewardship of strategically important ingredients by promoting robust exposure led human health risk assessment using best practice approaches
  • Actively engage with external stakeholders, such as trade associations and regulators, to represent Unilever’s interests and contribute to the development of industry best practices in human health risk assessment and regulatory frameworks for key products and ingredients

Requirements

  • A degree (BSc/MSc or equivalent) in Toxicology or a related discipline with relevant experience in commercial product safety or industrial/occupational health
  • Experience of toxicology/consumer safety risk assessment and its application in an industrial context (FMCG, healthcare setting)
  • Awareness of novel, non-animal approaches to safety assessment and their potential application for decision-making
  • Excellent written & verbal communication skills including ability to convey scientific subject matter in a simple manner
  • Evidence of a creative, problem-solving mindset
  • Highly self-motivated, with a proven track record of collaborating effectively in interdisciplinary teams
  • Ability to work with scientists from other disciplines as part of multidisciplinary teams
  • Strong team player, as both a leader and a team member

Nice to have

  • Knowledge of risk assessment of biocides and/or substances produced via biotechnology processes
  • Post graduate experience or a higher degree/ qualification (e.g., PhD)
  • Knowledge/Experience of product safety regulations and ingredient stewardship
  • Project leadership experience

What we offer

  • Competitive salary and pension scheme
  • Annual bonus
  • Subsidised gym membership
  • Discounted staff shop
  • Shares
  • Flexible and hybrid working environment
  • Variety of wellbeing support including hubs, programmes and development opportunities

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Scientist – Human Safety

8 matching positions

Safety Scientist - Immunology

As a safety scientist (Immunology) at Unilever, you will be involved in conducti...
Location
Location
United Kingdom , Sharnbrook
Salary
Salary:
Not provided
unilever.com Logo
Unilever
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • A master’s or PhD degree in immunology, immunotoxicology, or a related scientific discipline, or equivalent previous experience working in industry
  • Knowledge of immunological mechanisms involved in, and the public health implications of, immediate allergies
  • Strong literature mining and writing skills
  • Strong problem definition and trouble shooting skills
  • Enjoy challenging goals and problem solving in a fast-moving environment, keeping pace with advances in non-animal approaches to immunotoxicology
  • Highly self-motivated, yet team orientated
  • Ability to work with scientists from other disciplines to understand and define problems
  • Strong communication skills, with the ability to effectively communicate complex ideas to technical and non-technical audiences
Job Responsibility
Job Responsibility
  • Assessment of human safety risks associated with ingredients across Unilever’s product portfolio with an emphasis on applying mechanistic or pathways-based approaches to potential immune effects
  • Delivering transparent, well-documented exposure-based risk assessments, including protein allergy risk assessments, to SERS project teams to enable robust decision-making
  • Define appropriate approaches and methodologies for generation, analysis, and interpretation of immunological data to support non-animal safety assessment
  • Work closely with other SERS and Unilever scientists, as well as external collaborators, to provide expert scientific advice on risk assessment of potential immune effects
  • Stay informed on emerging trends bringing new thinking and opportunities into the team applicable to immune effects risk assessment
  • Contribute to the development and application of AI/machine learning (ML) solutions that enable predictive insights and automation of risk assessment of potential immune effects
  • Provide training to both expert and non-expert users within the organisation, and support development of other SERS scientists via coaching/mentoring as appropriate
  • Promote the acceptance and adoption of new scientific approaches external to Unilever
What we offer
What we offer
  • Competitive salary and pension scheme
  • Annual bonus
  • Subsidised gym membership
  • Discounted staff shop
  • Shares
  • Flexible and hybrid working environment
  • Wellbeing support including hubs, programmes and development opportunities
  • Fulltime
Read More
Arrow Right
New

Product Manager, Risk Automation

Block Risk Product builds the systems that power our automated, intelligent, and...
Location
Location
United States , Bay Area
Salary
Salary:
Not provided
cash.app Logo
Cash App
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6-9 years of product management experience including a proven track record launching successful AI or ML driven products
  • Strong technical intuition about ML models, training loops, evaluation, prompt design, data pipelines, and real-time inference constraints
  • Experience designing and running structured experiments, including A/B tests and offline evaluations
  • An ownership mentality with the ability to rapidly drive complex, cross-functional initiatives from strategy through execution at scale
  • Excellent communicator, capable of distilling complex technical concepts into clear narratives for executive, operational, and technical audiences. Ability to work across scaled risk, compliance, and operational teams in a regulated industry
  • Familiarity with AI quality, safety, and responsible-use frameworks
  • Experience with LLMs, multimodal models, or applied generative AI
  • Experience building operational tooling that drives cost savings and quality
Job Responsibility
Job Responsibility
  • Own the strategy and roadmap for AI-powered products and capabilities
  • Identify AI opportunities grounded in user needs and measurable business value
  • Translate ambiguous problem spaces into clear product requirements
  • Work closely with ML engineers, data scientists, and researchers on model goals, data needs, evaluation methods, and quality gates
  • Build and run experiments to validate hypotheses and iterate quickly
  • Define how the product should behave across success, failure, and edge cases
  • Establish metrics for accuracy, safety, latency, reliability, and UX satisfaction
  • Partner with design on intuitive, transparent, and safe human-AI interactions
  • Collaborate with legal, security, and compliance teams to ensure responsible AI practices
  • Lead cross-functional execution from concept through launch and iteration
What we offer
What we offer
  • Remote work
  • Medical insurance
  • Flexible time off
  • Retirement savings plans
  • Modern family planning
  • Fulltime
Read More
Arrow Right

Product Manager, GTM Automation

We are building the automation backbone of Block. The systems you help create wi...
Location
Location
United States , Bay Area
Salary
Salary:
239600.00 - 359400.00 USD / Year
cash.app Logo
Cash App
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7 to 10 years of product management experience, with a strong track record shipping AI or ML-driven products
  • Deep technical intuition around machine learning systems, including training loops, evaluation, prompt design, data pipelines, and real-time inference constraints
  • Experience running structured experiments such as A/B tests and offline model evaluations
  • A true ownership mindset and the ability to drive complex initiatives across teams without waiting for permission
  • Clear, compelling communication skills for executive, technical, and operational audiences
  • Experience working in scaled, high-stakes, or regulated environments such as risk, compliance, or operations
  • Strong understanding of AI quality, safety, and responsible use
  • Hands-on experience with LLMs, multimodal models, or applied generative AI
Job Responsibility
Job Responsibility
  • Own the strategy and roadmap for AI-powered products that matter
  • Identify automation opportunities rooted in real user pain and measurable business outcomes
  • Turn ambiguous, high-stakes problems into clear product direction and requirements
  • Partner deeply with ML engineers, data scientists, and researchers on model goals, data strategy, evaluation, and quality thresholds
  • Design and run experiments to test ideas fast and learn even faster
  • Define product behavior across success paths, failures, and edge cases
  • Set and own metrics for accuracy, safety, latency, reliability, and user trust
  • Work with design to build human-AI interactions that are intuitive, transparent, and safe
  • Collaborate with legal, security, and compliance to ship responsible AI in regulated environments
  • Lead cross-functional execution from concept to launch and continuous improvement
What we offer
What we offer
  • Remote work
  • medical insurance
  • flexible time off
  • retirement savings plans
  • modern family planning
  • Fulltime
Read More
Arrow Right

Data Scientist

Amazon Quick Suite is an enterprise AI platform that transforms how organization...
Location
Location
United States , Seattle; Santa Clara; New York
Salary
Salary:
136000.00 - 212800.00 USD / Year
amazon.de Logo
Amazon Pforzheim GmbH
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 2+ years of data scientist experience
  • 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
  • 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
  • 1+ years of working with or evaluating AI systems experience
  • 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
  • Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
  • Experience applying theoretical models in an applied environment
Job Responsibility
Job Responsibility
  • Design and develop comprehensive evaluation and benchmarking datasets for Quick Suite AI-powered features
  • Leverage LLMs for synthetic data corpora generation
  • data evaluation and quality assessment using LLM-as-a-judge settings
  • Create ground truth datasets with high-quality question-answer pairs across diverse domains and use cases
  • Lead human annotation initiatives and model evaluation audits to ensure data quality and relevance
  • Develop and refine annotation guidelines and quality frameworks for evaluation tasks
  • Conduct statistical analysis to measure model performance, identify failure patterns, and guide improvement strategies
  • Collaborate with ML scientists and engineers to translate evaluation insights into actionable product improvements
  • Build scalable data pipelines and tools to support continuous evaluation and benchmarking efforts
  • Contribute to Responsible AI initiatives by developing safety and fairness evaluation datasets
What we offer
What we offer
  • health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
  • 401(k) matching
  • paid time off
  • parental leave
  • sign-on payments
  • restricted stock units (RSUs)
  • Fulltime
Read More
Arrow Right

Research Scientist Intern, Multimodal AI (PhD)

The Meta Reality Labs Research Team brings together a world-class team of resear...
Location
Location
United States , Redmond
Salary
Salary:
7650.00 - 12134.00 USD / Month
meta.com Logo
Meta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Currently has, or is in the process of obtaining, a PhD degree in the field of Computer Science, Artificial Intelligence, Generative AI, Transformer Models, Machine Learning, Signal Processing or Computer vision
  • 3+ years experience with Python, Matlab, or similar
  • 3+ years experience with machine learning software platforms such as PyTorch, TensorFlow, etc
  • Experience building novel audio computational models and LLM
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
Job Responsibility
Job Responsibility
  • Design, implement, and maintain comprehensive evaluation protocols for large language models, including both automated and human-in-the-loop assessments
  • Develop and curate high-quality datasets and benchmarks to measure model performance, safety, fairness, and robustness across a variety of tasks and modalities
  • Analyze model outputs to identify strengths, weaknesses, and failure modes, and provide actionable insights to research and engineering teams
  • Design and implementation of novel algorithms to solve audio research problems
  • Collaboration with teams building Meta’s language AI products
  • Collaborate with researchers, engineers, and cross-functional partners to define evaluation goals, communicate findings, and drive improvements in model quality
  • Develop tools and infrastructure to streamline and scale evaluation processes, including dashboards, annotation platforms, and reporting systems
  • Stay up-to-date with the latest research in audio LLM evaluation, benchmarking, and responsible AI, and incorporate best practices into Meta’s workflows
  • Disseminate evaluation results through internal reports, presentations, and, when appropriate, external publications
What we offer
What we offer
  • benefits
  • Fulltime
Read More
Arrow Right

Distinguished Scientist

In this role, you will define and drive the technical vision for long-horizon, s...
Location
Location
United States
Salary
Salary:
270700.00 - 432300.00 USD / Year
Zillow
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • A PhD in Computer Science, Electrical Engineering, or a related field—or equivalent experience—with emphasis in areas such as foundational LLMs, agentic AI, reinforcement learning, AI planning, or natural language processing
  • 10+ years of hands-on experience building and deploying large-scale AI systems, including at least several years focused on agent-based systems, multi-agent collaboration, or long-horizon conversational assistants
  • Deep, current expertise in generative and agentic AI, including multimodal foundation models, transformers, advanced reasoning models, and post-training techniques (SFT, DPO, RLHF/RLAIF, preference learning, etc.)
  • A track record of leading ambiguous, cross-functional initiatives from concept to production—framing the problem, shaping data strategy, designing models and evaluation, and iterating based on live metrics and user feedback
  • Demonstrated impact in the research community through publications at top venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR) and/or widely used open-source contributions in LLMs, agentic frameworks, or related areas
  • Experience designing evaluation and supervision frameworks for long-horizon agents, ideally in regulated or high-stakes domains such as finance, healthcare, or large-scale marketplaces, with an emphasis on safety, fairness, and trust
  • Strong technical leadership skills: you mentor senior scientists and engineers, create clarity amid ambiguity, and build alignment across research, engineering, product, and leadership stakeholders
  • Excellent communication skills with the ability to distill complex ideas into clear narratives for executives, cross-functional partners, and external audiences
Job Responsibility
Job Responsibility
  • Own the end-to-end research and technical strategy for long-horizon agentic experiences across shopping, financing, and professional workflows, in close partnership with the Agentic AI, data platform, and product teams
  • Design and advance LLM post-training and evaluation methods (e.g., SFT, preference learning, RLHF/RLAIF, long-context modeling) tailored to supervised, high-stakes journeys in a complex, regulated domain
  • Architect systems that combine persistent memory, tool use, and multi-agent collaboration to deliver consistent, context-rich guidance over long timelines
  • Translate Zillow’s heterogeneous data (text, voice, behavioral, and structured real-estate/transaction data) into agent-ready knowledge and signals, in partnership with data and platform teams
  • Collaborate with product and design to define success metrics, evaluation frameworks, and experiment plans for agentic experiences, including human-in-the-loop supervision and safety reviews
  • Operate as a senior IC with the option to lead a small pod (up to ~5 scientists/engineers) focused on long-horizon agentic systems, mentoring principal-level talent and setting a high technical bar
  • Represent Zillow’s work externally through publications, talks, open-source contributions, and thoughtful engagement with the research community, helping position Zillow as a destination for top agentic AI talent
What we offer
What we offer
  • competitive base salary
  • eligibility for equity awards
  • Fulltime
Read More
Arrow Right

Senior, Data Scientist

Join Walmart and your work could help over 275 million global customers live bet...
Location
Location
United States of America , Sunnyvale
Salary
Salary:
117000.00 - 234000.00 USD / Year
walmart.com Logo
Walmart
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master's degree in Computer Science with a specialization in Computer Vision, Machine Learning, or equivalent practical experience.
  • 3+ years of experience with machine learning algorithms and tools.
  • Strong foundation in statistical analysis, experimental design (A/B testing), and causal inference.
  • Hands-on experience with Generative AI evaluation (e.g., using LLMs/VLMs for evaluation, computing FID/IS/CLIP scores, or designing perceptual studies).
  • Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow) for analyzing model outputs and building evaluation pipelines.
  • Experience processing unstructured data (image, video, 3D meshes) for analytical purposes.
Job Responsibility
Job Responsibility
  • Design Multi-Modal Evaluation Frameworks: Develop and validate novel evaluation metrics for non-deterministic outputs, specifically video, image, for 3D assets, and audio.
  • Build 'AI-as-a-Judge' Systems: Fine-tune Vision-Language Models (VLMs) and Reward Models to serve as automated evaluators, creating scalable proxies for human judgment.
  • Lead Experimentation & Causal Inference: Design and analyze A/B tests to measure the downstream business impact of GenAI content
  • apply causal inference techniques to understand how specific asset attributes drive user engagement.
  • Orchestrate Human-in-the-Loop (RLHF) Strategy: Define protocols for human evaluation, managing the relationship with annotation partners to create high-quality 'Golden Sets' for benchmarking and Reinforcement Learning from Human Feedback (RLHF).
  • Strategic Cross-Functional Partnership: Collaborate with ML Engineers and Product Managers to establish 'Go/No-Go' model launch criteria based on latency, safety, and perceptual quality standards.
  • Research & Innovation: Stay current with state-of-the-art research in perceptual quality (e.g., FID, CLIP scores, VQA) and implement advanced techniques to detect hallucinations, artifacts, or bias in generated content.
What we offer
What we offer
  • 401(k) match
  • stock purchase plan
  • paid maternity and parental leave
  • PTO
  • multiple health plans
  • medical
  • vision
  • dental
  • company-paid life insurance
  • short-term and long-term disability
  • Fulltime
Read More
Arrow Right

AI Engineer - Insurance Domain

The AI Engineer role focuses on developing AI solutions for the insurance sector...
Location
Location
United States , Warren
Salary
Salary:
87120.00 - 181500.00 USD / Year
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 3+ years of professional experience in AI/ML engineering, with demonstrated delivery of production-grade AI systems
  • 3+ years hands-on experience building and deploying LLM-powered applications using frameworks such as LangChain, LlamaIndex, or Semantic Kernel
  • 3+ years proven experience implementing MLOps pipelines in cloud environments (Azure preferred)
  • 3+ years experience developing AI agents or automation workflows using agentic frameworks
  • 2+ years experience in financial services, insurance, or regulated industries is strongly preferred
  • Experience with P&C insurance workflows such as FNOL processing, claims triage, underwriting decisioning, or actuarial modeling
  • Familiarity with insurance regulatory requirements including NAIC guidelines and data privacy standards (CCPA, GDPR)
  • Experience implementing responsible AI principles — fairness, explainability, and bias mitigation — in regulated environments
  • Microsoft certifications: Azure AI Engineer Associate (AI-102) or Azure Data Scientist Associate (DP-100) preferred
  • Exposure to Data Mesh patterns and publishing AI model outputs as domain data products
Job Responsibility
Job Responsibility
  • Generative AI & LLM Engineering: Design, fine-tune, and deploy Large Language Models (LLMs) for insurance-specific use cases including document intelligence, claims summarization, policy interpretation, and underwriting Q&A
  • Build Retrieval-Augmented Generation (RAG) pipelines using vector databases (e.g., Azure AI Search, Pinecone, ChromaDB) to ground LLM outputs in enterprise knowledge bases
  • Develop prompt engineering frameworks and systematic evaluation pipelines to ensure LLM output quality, consistency, and safety in regulated insurance contexts
  • Integrate LLM capabilities with internal data platforms via LangChain, LlamaIndex, or Semantic Kernel
  • Evaluate and benchmark foundational models (OpenAI GPT-4o, Azure OpenAI, Claude, Mistral, Llama) against insurance-specific tasks to guide platform selection
  • AI Agents & Automation: Architect and implement autonomous AI agents capable of multi-step reasoning, tool use, and decision-making for workflows such as FNOL triage, claims routing, policy lookup, and compliance checks
  • Build agentic frameworks using patterns such as ReAct, Chain-of-Thought, and Tool-Augmented Agents to handle complex, multi-turn insurance workflows
  • Design human-in-the-loop (HITL) checkpoints and escalation logic to ensure AI agents operate within defined risk and compliance boundaries
  • Integrate agents with internal APIs, data platforms, and enterprise systems using orchestration tools such as Azure Logic Apps, Apache Airflow, or Databricks Workflows
  • Develop guardrails, monitoring, and audit logging for all deployed agents to meet regulatory and governance standards
  • Fulltime
Read More
Arrow Right