Sales Executive I page is loaded Sales Executive Ilocations: HOME UNITED KINGDOMtime type: Full timeposted on: Posted 24 Days Agojob requisition id: R53875 At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. OpenEye, Cadence Molecular Sciences - a division of Cadence Design Systems - is an industry leader in computational molecular design through rapid, robust, and scalable software, consulting services, and Orion(R), the only cloud-native fully integrated software-as-a-service molecular modeling platform. Combining unlimited computation and storage with powerful tools for data sharing, visualization and analysis in a customizable development platform, Orion offers unprecedented capabilities for the advancement of pharmaceuticals, biologics, agrochemicals, and flavors and fragrances. OpenEye, Cadence Molecular Sciences is headquartered in Santa Fe, N.M., with offices in Boston, Mass.; Cologne, Germany; and Yokohama, Japan . At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. Job Title: Sales Executive I Location: United Kingdom (remote) Reports to: Group Director, Scientific Sales Job Overview: Sales Executive to join our fun-loving and unique commercial team to help build our rapidly growing business.You will utilise your technical knowledge, deep insight of the customer and broader industry knowledge to maximise and monetize the value of the OpenEye solutions, selling leading-edge software for computational chemistry, molecular design, and cloud-based scientific computation. You will develop and maintain open and honest relationships with current and prospective customers to maximize long-term revenue through selling of OpenEye solutions. You will need to rely on your relationships, knowledge, and superior communication skills to connect with business and technology customer stakeholders, identify critical customer challenges and gain buy-in to drive new business. Job Responsibilities: Maintain a good understanding of the OpenEye product line, research pipeline, vision, and philosophy. Communicate OpenEye knowledge to customers. Spend time interacting with current and prospective customers through video, phone, email, and site visits to optimally generate both maintenance revenue and new sales. Manage complex sales cycles including successful contract negotiations, involving high TCV greater than $2M. Help OpenEye grow in the existing market and establish new markets. Coordinate regional activities including software evaluations with application scientists and technology specialists. Work closely with colleagues in sales on global accounts. Generate and send new and renewal quotes; create, track, and update sales opportunities and information within SalesForce or other software systems. Provide territory financial updates as needed for senior management. Work with application scientists to develop and implement a regional plan to achieve sales growth. Attend scientific conferences representing OpenEye. Attend company and sales group meetings in the US. Travel to customer sites and internal meetings. Work with the marketing group; including conferences, event planning and execution. Collaborate with OpenEye colleagues and problem-solve as necessary to overcome sales obstacles. Job Qualifications: Bachelor's degree or greater in a scientific area, with a strong preference for chemistry or biology. 10+ years of successful experience selling either software, services, or instrumentation into the drug discovery market. Must have ability to call "high" (Executive Management) and help drive multi-million-dollar, complex sales campaigns with multiple decision makers and influencers across the customer organization. Deep understanding of the drug discovery market relevant to the customer ecosystem. The ability to foster and grow customer relationships throughout all levels of the customer organization to better connect our solutions with the customer's problems/business challenges and ensure roadmap alignment for long term success. A proven track-record demonstrating ability to identify and understand customer pain-points and the ability to communicate this to a broad range of technical and non-technical persons. Knowledge and demonstration of the ability to manage the complete sales process, strong communication skills, and the ability to interact with scientific and financial staff at all levels. A track record successfully managing multiple priorities, working with, and managing cross functional teams, and driving results as evidenced by overachievement of sales goals. Ability to meet deadlines, prioritize and plan. Ability to work independently, but also cooperatively with staff inside and outside of OpenEye. Excellent written and verbal skills. Additional Information: Cadence is committed to equal employment opportunity and employment equity throughout all levels of the organization. We strive to attract a qualified and diverse candidate pool and encourage diversity and inclusion in the workplace. Travel You will interact with Customers in the UK and Europe. Employment is remote, with a strong preference for applicants that live in the Southeast of England (London/Cambridge/Oxford triangle). This position requires travel of up to 50%. We're doing work that matters. Help us solve what others can't. Equal Employment Opportunity Policy: Cadence is committed to equal employment opportunity throughout all levels of the organization.We welcome your interest in the company and want to make sure our job site is accessible to all. If you experience difficulty using this site or to request a reasonable accommodation, please contact . Privacy Policy: Job Applicant If you are a job seeker creating a profile using our careers website, please see the .E-Verify Cadence participates in theE-Verify program in certain U.S. locations as required by law.Cadence plays a critical role in creating the technologies that modern life depends on. We are a global electronic design automation company, providing software, hardware, and intellectual property to design advanced semiconductor chips that enable our customers create revolutionary products and experiences. Thanks to the outstanding caliber of the Cadence team and the empowering culture that we have cultivated for over 25 years, Cadence continues to be recognized by Fortune Magazine as one of the 100 Best Companies to Work For. Our shared passion for solving the world's toughest technical challenges, our dedication to pushing the limits of the industry, and our drive to do meaningful work differentiates the people of Cadence. Cadence is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, basis of disability, or any other protected class.
May 16, 2026
Full time
Sales Executive I page is loaded Sales Executive Ilocations: HOME UNITED KINGDOMtime type: Full timeposted on: Posted 24 Days Agojob requisition id: R53875 At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. OpenEye, Cadence Molecular Sciences - a division of Cadence Design Systems - is an industry leader in computational molecular design through rapid, robust, and scalable software, consulting services, and Orion(R), the only cloud-native fully integrated software-as-a-service molecular modeling platform. Combining unlimited computation and storage with powerful tools for data sharing, visualization and analysis in a customizable development platform, Orion offers unprecedented capabilities for the advancement of pharmaceuticals, biologics, agrochemicals, and flavors and fragrances. OpenEye, Cadence Molecular Sciences is headquartered in Santa Fe, N.M., with offices in Boston, Mass.; Cologne, Germany; and Yokohama, Japan . At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. Job Title: Sales Executive I Location: United Kingdom (remote) Reports to: Group Director, Scientific Sales Job Overview: Sales Executive to join our fun-loving and unique commercial team to help build our rapidly growing business.You will utilise your technical knowledge, deep insight of the customer and broader industry knowledge to maximise and monetize the value of the OpenEye solutions, selling leading-edge software for computational chemistry, molecular design, and cloud-based scientific computation. You will develop and maintain open and honest relationships with current and prospective customers to maximize long-term revenue through selling of OpenEye solutions. You will need to rely on your relationships, knowledge, and superior communication skills to connect with business and technology customer stakeholders, identify critical customer challenges and gain buy-in to drive new business. Job Responsibilities: Maintain a good understanding of the OpenEye product line, research pipeline, vision, and philosophy. Communicate OpenEye knowledge to customers. Spend time interacting with current and prospective customers through video, phone, email, and site visits to optimally generate both maintenance revenue and new sales. Manage complex sales cycles including successful contract negotiations, involving high TCV greater than $2M. Help OpenEye grow in the existing market and establish new markets. Coordinate regional activities including software evaluations with application scientists and technology specialists. Work closely with colleagues in sales on global accounts. Generate and send new and renewal quotes; create, track, and update sales opportunities and information within SalesForce or other software systems. Provide territory financial updates as needed for senior management. Work with application scientists to develop and implement a regional plan to achieve sales growth. Attend scientific conferences representing OpenEye. Attend company and sales group meetings in the US. Travel to customer sites and internal meetings. Work with the marketing group; including conferences, event planning and execution. Collaborate with OpenEye colleagues and problem-solve as necessary to overcome sales obstacles. Job Qualifications: Bachelor's degree or greater in a scientific area, with a strong preference for chemistry or biology. 10+ years of successful experience selling either software, services, or instrumentation into the drug discovery market. Must have ability to call "high" (Executive Management) and help drive multi-million-dollar, complex sales campaigns with multiple decision makers and influencers across the customer organization. Deep understanding of the drug discovery market relevant to the customer ecosystem. The ability to foster and grow customer relationships throughout all levels of the customer organization to better connect our solutions with the customer's problems/business challenges and ensure roadmap alignment for long term success. A proven track-record demonstrating ability to identify and understand customer pain-points and the ability to communicate this to a broad range of technical and non-technical persons. Knowledge and demonstration of the ability to manage the complete sales process, strong communication skills, and the ability to interact with scientific and financial staff at all levels. A track record successfully managing multiple priorities, working with, and managing cross functional teams, and driving results as evidenced by overachievement of sales goals. Ability to meet deadlines, prioritize and plan. Ability to work independently, but also cooperatively with staff inside and outside of OpenEye. Excellent written and verbal skills. Additional Information: Cadence is committed to equal employment opportunity and employment equity throughout all levels of the organization. We strive to attract a qualified and diverse candidate pool and encourage diversity and inclusion in the workplace. Travel You will interact with Customers in the UK and Europe. Employment is remote, with a strong preference for applicants that live in the Southeast of England (London/Cambridge/Oxford triangle). This position requires travel of up to 50%. We're doing work that matters. Help us solve what others can't. Equal Employment Opportunity Policy: Cadence is committed to equal employment opportunity throughout all levels of the organization.We welcome your interest in the company and want to make sure our job site is accessible to all. If you experience difficulty using this site or to request a reasonable accommodation, please contact . Privacy Policy: Job Applicant If you are a job seeker creating a profile using our careers website, please see the .E-Verify Cadence participates in theE-Verify program in certain U.S. locations as required by law.Cadence plays a critical role in creating the technologies that modern life depends on. We are a global electronic design automation company, providing software, hardware, and intellectual property to design advanced semiconductor chips that enable our customers create revolutionary products and experiences. Thanks to the outstanding caliber of the Cadence team and the empowering culture that we have cultivated for over 25 years, Cadence continues to be recognized by Fortune Magazine as one of the 100 Best Companies to Work For. Our shared passion for solving the world's toughest technical challenges, our dedication to pushing the limits of the industry, and our drive to do meaningful work differentiates the people of Cadence. Cadence is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, basis of disability, or any other protected class.
Full Stack Software Engineer (Data-Focused) Location: London - Hybrid - 1-2 days per week Salary: (Apply online only)k + Bonus Type: Permanent Sponsorship: Not Available Role Overview: We are seeking a Senior or Staff-Level Fullstack Software Engineer with a strong background in data to join our Data Science & Engineering team.This is a greenfield initiative that seeks to consolidate several lines of business under a single modern architecture. In this role, you will empower the business with the technology and tools needed to leverage data throughout the organization. This Includes: Deploying open-source BI tools and platforms Setting up streaming data collection and validation services Implementing third-party analytic solutions Assisting with data-centric migration tasks Key Responsibilities: Partner with Data Engineers to deploy and maintain internal data tools and platforms Implement and maintain integrations with third-party data platforms and APIs Work with DevOps and Platform Engineers to support: Infrastructure as Code using Terraform Containerisation and deployment via Kubernetes (AKS) CI/CD automation via ArgoCD Monitoring via OTLP and Sumo Logic Contribute to architectural decisions, with a strong emphasis on data security Assist migration and data engineering teams in moving legacy products to a new technology stack Support documentation, testing, and ongoing maintenance of production systems Required Qualifications: 7+ years of experience in software engineering roles, with a track record of building solutions end-to-end Experience deploying applications in cloud environments, preferably Microsoft Azure Strong experience in REST API design and OpenAPI standards Extensive experience working with databases, data platforms, and analytical tools Ability to research, propose, and implement solutions with minimal supervision Experience building internal-facing CRUD applications Familiarity with front-end development and ability to make basic modifications to open-source UI components Experience enabling data scientists and engineers with Python-based development workflows and tooling Technology Stack: Azure Cloud Services C# (.NET 10) Python React.js and modern JavaScript (ES6+) Snowflake (Data Warehouse) Apache Airflow Terraform dbt SQL Server
May 16, 2026
Full time
Full Stack Software Engineer (Data-Focused) Location: London - Hybrid - 1-2 days per week Salary: (Apply online only)k + Bonus Type: Permanent Sponsorship: Not Available Role Overview: We are seeking a Senior or Staff-Level Fullstack Software Engineer with a strong background in data to join our Data Science & Engineering team.This is a greenfield initiative that seeks to consolidate several lines of business under a single modern architecture. In this role, you will empower the business with the technology and tools needed to leverage data throughout the organization. This Includes: Deploying open-source BI tools and platforms Setting up streaming data collection and validation services Implementing third-party analytic solutions Assisting with data-centric migration tasks Key Responsibilities: Partner with Data Engineers to deploy and maintain internal data tools and platforms Implement and maintain integrations with third-party data platforms and APIs Work with DevOps and Platform Engineers to support: Infrastructure as Code using Terraform Containerisation and deployment via Kubernetes (AKS) CI/CD automation via ArgoCD Monitoring via OTLP and Sumo Logic Contribute to architectural decisions, with a strong emphasis on data security Assist migration and data engineering teams in moving legacy products to a new technology stack Support documentation, testing, and ongoing maintenance of production systems Required Qualifications: 7+ years of experience in software engineering roles, with a track record of building solutions end-to-end Experience deploying applications in cloud environments, preferably Microsoft Azure Strong experience in REST API design and OpenAPI standards Extensive experience working with databases, data platforms, and analytical tools Ability to research, propose, and implement solutions with minimal supervision Experience building internal-facing CRUD applications Familiarity with front-end development and ability to make basic modifications to open-source UI components Experience enabling data scientists and engineers with Python-based development workflows and tooling Technology Stack: Azure Cloud Services C# (.NET 10) Python React.js and modern JavaScript (ES6+) Snowflake (Data Warehouse) Apache Airflow Terraform dbt SQL Server
Senior Data Scientist Location: UK Remote Salary: 60,000 - 70,000 Employment Type: Full-Time Please note: Sponsorship is not available for this position. Overview A growing organisation is looking for a Senior Data Scientist to help develop advanced AI and analytics capabilities that power large-scale intelligence and data-driven products. This is an opportunity to work within a research-focused environment, building scalable machine learning models and AI systems across areas such as NLP, recommendation systems, predictive analytics, and workforce intelligence. The Role As a Senior Data Scientist, you will contribute to the development and optimisation of advanced machine learning and AI models while maintaining high standards of experimentation, validation, and responsible AI practices. You'll work closely with AI Engineers, Product teams, and cross-functional stakeholders to deliver scalable, production-ready solutions that drive measurable business value. Key Responsibilities Develop and refine machine learning models across NLP, classification, prediction, optimisation, and recommendation systems Apply generative AI and NLP techniques to improve modelling and data extraction capabilities Perform large-scale data analysis and transformation using SQL and cloud-native technologies Design and execute experimentation, benchmarking, and model validation frameworks Translate business and product challenges into scalable, data-driven solutions Collaborate with Engineering teams to productionise models and APIs Maintain best practices across reproducibility, explainability, and responsible AI Contribute to the development of knowledge-based and ontology-driven systems Required Skills & Experience Strong commercial experience in Data Science, Machine Learning, or Advanced Analytics Strong Python and SQL skills Experience building models across NLP, prediction, optimisation, classification, or recommender systems Familiarity with embeddings, LLMs, and prompt engineering Experience working within AWS and/or Azure cloud environments Understanding of experimentation design, model validation, and reproducibility best practices Experience supporting model deployment into production environments Strong analytical and problem-solving skills Excellent communication and stakeholder engagement skills Technology Stack Python, SQL, Databricks, PyTorch, Transformers/LLMs, Prompt Engineering, Pandas, Spark, AWS, Azure, PostgreSQL, FastAPI, Git, CI/CD, Knowledge Graphs What's on Offer Fully remote UK-based role Opportunity to work on cutting-edge AI and machine learning products Collaborative, research-driven environment Exposure to modern AI, NLP, and cloud technologies Strong career development opportunities within a growing AI function
May 16, 2026
Full time
Senior Data Scientist Location: UK Remote Salary: 60,000 - 70,000 Employment Type: Full-Time Please note: Sponsorship is not available for this position. Overview A growing organisation is looking for a Senior Data Scientist to help develop advanced AI and analytics capabilities that power large-scale intelligence and data-driven products. This is an opportunity to work within a research-focused environment, building scalable machine learning models and AI systems across areas such as NLP, recommendation systems, predictive analytics, and workforce intelligence. The Role As a Senior Data Scientist, you will contribute to the development and optimisation of advanced machine learning and AI models while maintaining high standards of experimentation, validation, and responsible AI practices. You'll work closely with AI Engineers, Product teams, and cross-functional stakeholders to deliver scalable, production-ready solutions that drive measurable business value. Key Responsibilities Develop and refine machine learning models across NLP, classification, prediction, optimisation, and recommendation systems Apply generative AI and NLP techniques to improve modelling and data extraction capabilities Perform large-scale data analysis and transformation using SQL and cloud-native technologies Design and execute experimentation, benchmarking, and model validation frameworks Translate business and product challenges into scalable, data-driven solutions Collaborate with Engineering teams to productionise models and APIs Maintain best practices across reproducibility, explainability, and responsible AI Contribute to the development of knowledge-based and ontology-driven systems Required Skills & Experience Strong commercial experience in Data Science, Machine Learning, or Advanced Analytics Strong Python and SQL skills Experience building models across NLP, prediction, optimisation, classification, or recommender systems Familiarity with embeddings, LLMs, and prompt engineering Experience working within AWS and/or Azure cloud environments Understanding of experimentation design, model validation, and reproducibility best practices Experience supporting model deployment into production environments Strong analytical and problem-solving skills Excellent communication and stakeholder engagement skills Technology Stack Python, SQL, Databricks, PyTorch, Transformers/LLMs, Prompt Engineering, Pandas, Spark, AWS, Azure, PostgreSQL, FastAPI, Git, CI/CD, Knowledge Graphs What's on Offer Fully remote UK-based role Opportunity to work on cutting-edge AI and machine learning products Collaborative, research-driven environment Exposure to modern AI, NLP, and cloud technologies Strong career development opportunities within a growing AI function
Job Title: Senior Data Scientist at Faculty Salary: £85,000-£105,000 Company Description: Faculty - Applied AI Leader Job Description Join Faculty's Frontier team to build Computational Twins-sophisticated AI replicas of complex organizational systems. You will lead the design and deployment of production-grade decision intelligence solutions for high-stakes sectors like healthcare and life sciences. This role blends deep technical ML expertise with strategic client leadership to solve critical real-world challenges at scale. Location: London, UK Why this role is remarkable Work at the forefront of Decision Intelligence creating "Computational Twins" that simulate entire business processes for organizations like the NHS and global pharma leaders. Join a PhD-heavy technical culture recently recognized by Gartner as a Visionary, now backed by Accenture's global infrastructure to scale your impact internationally. Enjoy high-end benefits including an unlimited annual leave policy, private healthcare, dental, and specialized professional coaching through Sanctus. What you will do Design and build AI-driven digital reflections of complex systems using supervised learning, time-series, and Bayesian methods to optimize critical decision processes. Lead cross-functional squads of engineers and designers to deliver end-to-end production-grade AI solutions directly to senior stakeholders. Mentor and develop emerging data science talent through technical leadership, code reviews, and potential line management responsibilities. The ideal candidate Possesses 4+ years of professional experience in data science or quantitative research with a strong foundation in statistics and mathematics. Demonstrates expert-level Python proficiency (NumPy, Pandas) and deep familiarity with frameworks like TensorFlow or PyTorch for production environments. Exhibits a business-focused mindset with the communication skills required to translate complex technical strategies into actionable value for commercial clients.
May 16, 2026
Full time
Job Title: Senior Data Scientist at Faculty Salary: £85,000-£105,000 Company Description: Faculty - Applied AI Leader Job Description Join Faculty's Frontier team to build Computational Twins-sophisticated AI replicas of complex organizational systems. You will lead the design and deployment of production-grade decision intelligence solutions for high-stakes sectors like healthcare and life sciences. This role blends deep technical ML expertise with strategic client leadership to solve critical real-world challenges at scale. Location: London, UK Why this role is remarkable Work at the forefront of Decision Intelligence creating "Computational Twins" that simulate entire business processes for organizations like the NHS and global pharma leaders. Join a PhD-heavy technical culture recently recognized by Gartner as a Visionary, now backed by Accenture's global infrastructure to scale your impact internationally. Enjoy high-end benefits including an unlimited annual leave policy, private healthcare, dental, and specialized professional coaching through Sanctus. What you will do Design and build AI-driven digital reflections of complex systems using supervised learning, time-series, and Bayesian methods to optimize critical decision processes. Lead cross-functional squads of engineers and designers to deliver end-to-end production-grade AI solutions directly to senior stakeholders. Mentor and develop emerging data science talent through technical leadership, code reviews, and potential line management responsibilities. The ideal candidate Possesses 4+ years of professional experience in data science or quantitative research with a strong foundation in statistics and mathematics. Demonstrates expert-level Python proficiency (NumPy, Pandas) and deep familiarity with frameworks like TensorFlow or PyTorch for production environments. Exhibits a business-focused mindset with the communication skills required to translate complex technical strategies into actionable value for commercial clients.
Role Overview We are seeking an Applied AI Lead to act as a hands-on, startup-style CTO for our AI initiatives. This is a high-impact, hybrid role designed for a technical visionary who can bridge the gap between cutting-edge machine learning and commercial product delivery. You will be responsible for leading the technical direction, building end-to-end AI products, and managing a team of data scientists while remaining deeply hands-on with code and architecture. Key Responsibilities Technical Leadership: Architect and deploy LLM-driven workflows and NLP solutions, ensuring they are scalable, robust, and production-ready. Product Ownership: Own the full product lifecycle from vision and roadmap strategy to implementation, iteration, and success metrics. Hands-on Development: Write production-quality Python code, develop complex models using PyTorch or TensorFlow, and manage high-performance SQL databases. Team Management: Lead and mentor a team of Data Scientists, fostering a culture of rapid experimentation and engineering excellence. Executive Stakeholder Management: Translate complex technical concepts for senior management and the C-suite, acting as a strategic partner to the business. Required Qualifications ML Mastery: Proven track record in Data Science/ML with expertise in Python, SQL, and deep learning libraries (TensorFlow, Keras, or PyTorch). Production Experience: Demonstrated experience deploying real-world AI solutions at scale; purely academic or research backgrounds will not be considered. Product Vision: Experience launching AI products from scratch with a focus on business delivery and user impact. Education: Degree from a top-tier educational institution with a strong foundation in mathematics and statistics. Communication: Exceptional public speaking skills and the ability to influence executive-level stakeholders. Preferred Skills Entrepreneurial background or experience in early-stage startups. High analytical and technical acumen with an obsession for speed-to-market.
May 15, 2026
Full time
Role Overview We are seeking an Applied AI Lead to act as a hands-on, startup-style CTO for our AI initiatives. This is a high-impact, hybrid role designed for a technical visionary who can bridge the gap between cutting-edge machine learning and commercial product delivery. You will be responsible for leading the technical direction, building end-to-end AI products, and managing a team of data scientists while remaining deeply hands-on with code and architecture. Key Responsibilities Technical Leadership: Architect and deploy LLM-driven workflows and NLP solutions, ensuring they are scalable, robust, and production-ready. Product Ownership: Own the full product lifecycle from vision and roadmap strategy to implementation, iteration, and success metrics. Hands-on Development: Write production-quality Python code, develop complex models using PyTorch or TensorFlow, and manage high-performance SQL databases. Team Management: Lead and mentor a team of Data Scientists, fostering a culture of rapid experimentation and engineering excellence. Executive Stakeholder Management: Translate complex technical concepts for senior management and the C-suite, acting as a strategic partner to the business. Required Qualifications ML Mastery: Proven track record in Data Science/ML with expertise in Python, SQL, and deep learning libraries (TensorFlow, Keras, or PyTorch). Production Experience: Demonstrated experience deploying real-world AI solutions at scale; purely academic or research backgrounds will not be considered. Product Vision: Experience launching AI products from scratch with a focus on business delivery and user impact. Education: Degree from a top-tier educational institution with a strong foundation in mathematics and statistics. Communication: Exceptional public speaking skills and the ability to influence executive-level stakeholders. Preferred Skills Entrepreneurial background or experience in early-stage startups. High analytical and technical acumen with an obsession for speed-to-market.
Senior Machine Learning Engineer Applying rigorous machine learning to real-world problems that matter We're looking for a Senior Machine Learning Engineer to join a multidisciplinary data and AI team delivering high-impact, real-world solutions in a secure and highly regulated environment . This is a senior, hands-on practitioner role , not a people-management position. You'll operate with a high degree of autonomy, leading complex machine learning work end-to-end through technical depth, sound judgement, and delivery credibility . The organisation is outcome-led rather than technology-led . Where strong market solutions exist, they are used. Machine learning is built in-house only where problems are genuinely complex, niche, or sensitive - requiring experimentation, evaluation, and iteration beyond what can be bought. This means the work is thoughtful, challenging, and purposeful, rather than driven by novelty or trend. What you'll be doing You'll take ownership of complex ML problems, applying scientific thinking and pragmatism in equal measure. You will: Lead end-to-end machine learning delivery , from problem definition through experimentation, evaluation, and iteration Apply mathematical, statistical, and scientific reasoning to form hypotheses, quantify uncertainty, and interpret results Design and run structured experiments to assess model behaviour, performance, and user impact Work with real, imperfect operational data , not just curated or static datasets Collect, assess, and transform data to support model evaluation and continuous improvement Balance rigour with pragmatism, delivering solutions that are robust, proportionate, and fit for purpose Integrate machine learning components into wider systems , considering performance, reliability, and operational constraints Communicate complex technical ideas clearly to non-technical stakeholders , enabling informed decision-making Engage confidently in deep technical design and review discussions with peers Operate effectively within a strong technical assurance and review culture Collaborate with internal teams and selected external partners working at the leading edge of AI What we're looking for This role suits a senior ML practitioner who values judgement, evidence, and outcomes over theoretical or tooling purity. Essential experience: Proven experience operating at senior practitioner level as a Machine Learning Engineer, AI Engineer, Applied ML Scientist, or equivalent Strong grounding in applied mathematics, statistics, and scientific practice Demonstrated ability to evaluate ML models using quantitative evidence and structured experimentation Excellent Python skills for building, evaluating, and iterating on ML solutions Experience working with real-world, imperfect data from operational systems Strong software engineering practices, including readable, maintainable, and well-tested code Experience integrating ML components into broader production systems Clear understanding of data ethics, privacy, and responsible use of data Strong communication skills across technical and non-technical audiences Proven ability to lead work independently and take ownership of outcomes Technologies you'll encounter The environment evolves, but typical tools include: Python for experimentation, modelling, and evaluation Weights & Biases (or equivalent) for experiment tracking AWS , including services such as SageMaker and Bedrock Internally supported AI development platforms and tooling This role is not suited to candidates who are dogmatic about specific tools . Adaptability and outcome focus matter more than platform allegiance. Desirable experience Working in secure, safety-critical, or heavily regulated environments Background in sectors such as energy, oil & gas, defence, or public sector Experience within formal technical assurance or governance processes Collaboration with external suppliers, partners, or research organisations Comfort operating at pace where quality, safety, and compliance are non-negotiable If you enjoy solving complex problems, applying scientific thinking to messy reality, and delivering ML that stands up to scrutiny, this role offers both challenge and meaning. If interested, apply now! Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
May 15, 2026
Contractor
Senior Machine Learning Engineer Applying rigorous machine learning to real-world problems that matter We're looking for a Senior Machine Learning Engineer to join a multidisciplinary data and AI team delivering high-impact, real-world solutions in a secure and highly regulated environment . This is a senior, hands-on practitioner role , not a people-management position. You'll operate with a high degree of autonomy, leading complex machine learning work end-to-end through technical depth, sound judgement, and delivery credibility . The organisation is outcome-led rather than technology-led . Where strong market solutions exist, they are used. Machine learning is built in-house only where problems are genuinely complex, niche, or sensitive - requiring experimentation, evaluation, and iteration beyond what can be bought. This means the work is thoughtful, challenging, and purposeful, rather than driven by novelty or trend. What you'll be doing You'll take ownership of complex ML problems, applying scientific thinking and pragmatism in equal measure. You will: Lead end-to-end machine learning delivery , from problem definition through experimentation, evaluation, and iteration Apply mathematical, statistical, and scientific reasoning to form hypotheses, quantify uncertainty, and interpret results Design and run structured experiments to assess model behaviour, performance, and user impact Work with real, imperfect operational data , not just curated or static datasets Collect, assess, and transform data to support model evaluation and continuous improvement Balance rigour with pragmatism, delivering solutions that are robust, proportionate, and fit for purpose Integrate machine learning components into wider systems , considering performance, reliability, and operational constraints Communicate complex technical ideas clearly to non-technical stakeholders , enabling informed decision-making Engage confidently in deep technical design and review discussions with peers Operate effectively within a strong technical assurance and review culture Collaborate with internal teams and selected external partners working at the leading edge of AI What we're looking for This role suits a senior ML practitioner who values judgement, evidence, and outcomes over theoretical or tooling purity. Essential experience: Proven experience operating at senior practitioner level as a Machine Learning Engineer, AI Engineer, Applied ML Scientist, or equivalent Strong grounding in applied mathematics, statistics, and scientific practice Demonstrated ability to evaluate ML models using quantitative evidence and structured experimentation Excellent Python skills for building, evaluating, and iterating on ML solutions Experience working with real-world, imperfect data from operational systems Strong software engineering practices, including readable, maintainable, and well-tested code Experience integrating ML components into broader production systems Clear understanding of data ethics, privacy, and responsible use of data Strong communication skills across technical and non-technical audiences Proven ability to lead work independently and take ownership of outcomes Technologies you'll encounter The environment evolves, but typical tools include: Python for experimentation, modelling, and evaluation Weights & Biases (or equivalent) for experiment tracking AWS , including services such as SageMaker and Bedrock Internally supported AI development platforms and tooling This role is not suited to candidates who are dogmatic about specific tools . Adaptability and outcome focus matter more than platform allegiance. Desirable experience Working in secure, safety-critical, or heavily regulated environments Background in sectors such as energy, oil & gas, defence, or public sector Experience within formal technical assurance or governance processes Collaboration with external suppliers, partners, or research organisations Comfort operating at pace where quality, safety, and compliance are non-negotiable If you enjoy solving complex problems, applying scientific thinking to messy reality, and delivering ML that stands up to scrutiny, this role offers both challenge and meaning. If interested, apply now! Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
Lead Platform Engineer Building the platforms that make AI and machine learning work in production We're looking for a Lead Platform Engineer to join a growing engineering organisation and play a pivotal role in designing, building, and operating an MLOps platform that enables AI and data science teams to deliver reliably in production. This is a senior, hands-on technical leadership role , not a people-management position. You'll lead through technical depth, judgement, and delivery , building the tooling, workflows, and operational foundations that allow data scientists and ML engineers to experiment, deploy, and run ML and LLM-based workloads safely and at scale . The focus is not simply on running Kubernetes clusters - it's on layering real MLOps capability on top of Kubernetes to create a platform that is usable, supportable, and trusted in live environments. What you'll be doing You'll act as a technical leader across platform engineering, DevOps, and MLOps, remaining deeply involved in implementation. You will: Provide technical leadership across platform, DevOps, and MLOps activities Design, build, and operate a Kubernetes-based MLOps platform supporting the full model life cycle ImplementandrunMLOps tooling that enables teams to: Experiment with models and notebooks Package, version, and deploy models Run scalable inference and LLM-based workloads Build and operate model serving and inference platforms within Kubernetes environments Work closely with data scientists and ML engineers to ensure the platform is usable, well-documented, and aligned to real workflows Own platform operability, reliability, security, and supportability in production Troubleshoot complex issues across Kubernetes, platform services, and MLOps layers Contribute to architectural decisions while staying hands-on with delivery Apply pragmatic engineering judgement in environments where AI workloads place real operational demands on infrastructure What we're looking for This role suits someone who is fundamentally a strong platform engineer , with the depth to apply those skills confidently to MLOps. Essential experience: Strong background as a Senior or Lead Platform Engineer/DevOps Engineer Deep, hands-on experience building and operating Kubernetes-based platforms Strong practical experience with Helm and Infrastructure as Code (eg Terraform) Proven experience extending Kubernetes with higher-level platforms and services , not treating it as the finished product Strong understanding of operational fundamentals: monitoring, logging, incident response, reliability, and maintenance Comfortable working directly with engineers and data scientists to support real production workloads MLOps experience (key to the role) You'll work deeply "in the weeds" of MLOps platforms, enabling ML and LLM workloads (not model research). Experience in areas such as: Building or operating MLOps platforms using tools like Kubeflow or similar frameworks Running model serving and inference platforms (eg KServe, vLLM, or equivalent) Supporting LLM-based workloads , including optimisation and serving considerations Providing notebook-based environments such as JupyterHub in secure platforms Exposure to emerging tooling such as InstructLab , Trustworthy/Responsible AI tooling, or comparable solutions Desirable experience Building internal platforms specifically for data science and ML teams Operating AI-enabled or data-driven systems in production Experience in regulated, security-conscious, or high-assurance environments Designing platforms that balance user flexibility with governance and control If you believe Kubernetes is the base, not the product , enjoy operating close to the metal, and like solving hard platform problems that enable others to succeed, this role offers real challenge and impact. If interested, apply now! Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
May 15, 2026
Contractor
Lead Platform Engineer Building the platforms that make AI and machine learning work in production We're looking for a Lead Platform Engineer to join a growing engineering organisation and play a pivotal role in designing, building, and operating an MLOps platform that enables AI and data science teams to deliver reliably in production. This is a senior, hands-on technical leadership role , not a people-management position. You'll lead through technical depth, judgement, and delivery , building the tooling, workflows, and operational foundations that allow data scientists and ML engineers to experiment, deploy, and run ML and LLM-based workloads safely and at scale . The focus is not simply on running Kubernetes clusters - it's on layering real MLOps capability on top of Kubernetes to create a platform that is usable, supportable, and trusted in live environments. What you'll be doing You'll act as a technical leader across platform engineering, DevOps, and MLOps, remaining deeply involved in implementation. You will: Provide technical leadership across platform, DevOps, and MLOps activities Design, build, and operate a Kubernetes-based MLOps platform supporting the full model life cycle ImplementandrunMLOps tooling that enables teams to: Experiment with models and notebooks Package, version, and deploy models Run scalable inference and LLM-based workloads Build and operate model serving and inference platforms within Kubernetes environments Work closely with data scientists and ML engineers to ensure the platform is usable, well-documented, and aligned to real workflows Own platform operability, reliability, security, and supportability in production Troubleshoot complex issues across Kubernetes, platform services, and MLOps layers Contribute to architectural decisions while staying hands-on with delivery Apply pragmatic engineering judgement in environments where AI workloads place real operational demands on infrastructure What we're looking for This role suits someone who is fundamentally a strong platform engineer , with the depth to apply those skills confidently to MLOps. Essential experience: Strong background as a Senior or Lead Platform Engineer/DevOps Engineer Deep, hands-on experience building and operating Kubernetes-based platforms Strong practical experience with Helm and Infrastructure as Code (eg Terraform) Proven experience extending Kubernetes with higher-level platforms and services , not treating it as the finished product Strong understanding of operational fundamentals: monitoring, logging, incident response, reliability, and maintenance Comfortable working directly with engineers and data scientists to support real production workloads MLOps experience (key to the role) You'll work deeply "in the weeds" of MLOps platforms, enabling ML and LLM workloads (not model research). Experience in areas such as: Building or operating MLOps platforms using tools like Kubeflow or similar frameworks Running model serving and inference platforms (eg KServe, vLLM, or equivalent) Supporting LLM-based workloads , including optimisation and serving considerations Providing notebook-based environments such as JupyterHub in secure platforms Exposure to emerging tooling such as InstructLab , Trustworthy/Responsible AI tooling, or comparable solutions Desirable experience Building internal platforms specifically for data science and ML teams Operating AI-enabled or data-driven systems in production Experience in regulated, security-conscious, or high-assurance environments Designing platforms that balance user flexibility with governance and control If you believe Kubernetes is the base, not the product , enjoy operating close to the metal, and like solving hard platform problems that enable others to succeed, this role offers real challenge and impact. If interested, apply now! Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
R&D applying AI and algorithms to real-world signals/comms, sensor fusion London, hybrid working; to £58k plus benefits This senior position has a three-year term with a leading research institution and has strong Data Science elements. As a PhD-qualified scientist with further research or commercial experience, you will bring your prior experience in signal processing to bear click apply for full job details
May 15, 2026
Full time
R&D applying AI and algorithms to real-world signals/comms, sensor fusion London, hybrid working; to £58k plus benefits This senior position has a three-year term with a leading research institution and has strong Data Science elements. As a PhD-qualified scientist with further research or commercial experience, you will bring your prior experience in signal processing to bear click apply for full job details
ROYAL BOTANIC GARDENS/KEW GARDENS
Richmond, Surrey
This is an exciting opportunity to join the Science Operations team at the Royal Botanic Gardens, Kew, one of the world's most iconic scientific and horticultural institutions. As the Senior Technician (Purchasing), you will play a vital role in keeping Kew's research running smoothly - managing the purchasing of consumables & equipment and ensuring scientists and researchers have what they need to do their work. Based at Kew, this is a varied and hands-on role at the heart of a world-leading plant and fungal science programme. We are looking for an organised and efficient individual with a background in a relevant technical or scientific role, and a genuine commitment to working within a team. You will have a keen eye for detail and a methodical approach to record-keeping, and the ability to apply your skills practically in a busy research environment. Experience of purchasing, invoicing, or maintaining financial records would be an advantage, as this will be part of the day-to-day duties of the role. Following a recent restructuring, purchasing across the Research Infrastructure team has been centralised, and this role offers real scope to help shape how the team works going forward. We need someone who can think creatively about problems and build practical solutions - whether that is designing forms to capture ordering information, developing tracking spreadsheets, or finding smarter ways to consolidate expenditure. You will be a confident communicator, able to work closely with laboratory staff, finance and procurement colleagues, and visiting researchers. The ability to manage competing priorities and to pick up new systems quickly are both essential. Experience of supporting less experienced colleagues, and an interest in plant or fungal research, would be a bonus. Interviews are due to take place w/c 22 June. About Us The Royal Botanic Gardens, Kew (RBG Kew) is a leading plant science institute, UNESCO World Heritage Site, and major visitor attraction. Our mission is to understand and protect plants and fungi for the well-being of people and the future of all life on Earth. We are working to end the unprecedented extinction crisis and to help create a world where nature is protected, valued by all and managed sustainably. We will achieve these goals by drawing on our leading scientific research, unrivalled collections of plants and fungi, global network of partners, inspirational gardens at Kew and Wakehurst, and our 260 years of history. Join us on our journey as protectors of the world's plants and fungi. Our fantastic benefits package includes opportunities for continuous learning, a generous annual leave entitlement, flexible working to help you maintain a healthy work-life balance, an Employee Assistance Programme and other wellbeing support such as cycle to work scheme and discounted gym membership. We also offer a competitive pension, an employee discount scheme and free entry into a wide range of national museums and galleries, as well as access to our own beautiful gardens at Kew and Wakehurst. We are dedicated to equality of opportunity and welcome applications from all sections of the community. We are committed to interview disabled applicants who meet the essential criteria for the post. No agencies please.
May 15, 2026
Full time
This is an exciting opportunity to join the Science Operations team at the Royal Botanic Gardens, Kew, one of the world's most iconic scientific and horticultural institutions. As the Senior Technician (Purchasing), you will play a vital role in keeping Kew's research running smoothly - managing the purchasing of consumables & equipment and ensuring scientists and researchers have what they need to do their work. Based at Kew, this is a varied and hands-on role at the heart of a world-leading plant and fungal science programme. We are looking for an organised and efficient individual with a background in a relevant technical or scientific role, and a genuine commitment to working within a team. You will have a keen eye for detail and a methodical approach to record-keeping, and the ability to apply your skills practically in a busy research environment. Experience of purchasing, invoicing, or maintaining financial records would be an advantage, as this will be part of the day-to-day duties of the role. Following a recent restructuring, purchasing across the Research Infrastructure team has been centralised, and this role offers real scope to help shape how the team works going forward. We need someone who can think creatively about problems and build practical solutions - whether that is designing forms to capture ordering information, developing tracking spreadsheets, or finding smarter ways to consolidate expenditure. You will be a confident communicator, able to work closely with laboratory staff, finance and procurement colleagues, and visiting researchers. The ability to manage competing priorities and to pick up new systems quickly are both essential. Experience of supporting less experienced colleagues, and an interest in plant or fungal research, would be a bonus. Interviews are due to take place w/c 22 June. About Us The Royal Botanic Gardens, Kew (RBG Kew) is a leading plant science institute, UNESCO World Heritage Site, and major visitor attraction. Our mission is to understand and protect plants and fungi for the well-being of people and the future of all life on Earth. We are working to end the unprecedented extinction crisis and to help create a world where nature is protected, valued by all and managed sustainably. We will achieve these goals by drawing on our leading scientific research, unrivalled collections of plants and fungi, global network of partners, inspirational gardens at Kew and Wakehurst, and our 260 years of history. Join us on our journey as protectors of the world's plants and fungi. Our fantastic benefits package includes opportunities for continuous learning, a generous annual leave entitlement, flexible working to help you maintain a healthy work-life balance, an Employee Assistance Programme and other wellbeing support such as cycle to work scheme and discounted gym membership. We also offer a competitive pension, an employee discount scheme and free entry into a wide range of national museums and galleries, as well as access to our own beautiful gardens at Kew and Wakehurst. We are dedicated to equality of opportunity and welcome applications from all sections of the community. We are committed to interview disabled applicants who meet the essential criteria for the post. No agencies please.
enior Development Scientist - Gas Metrology & Clean Energy Applications Location: Uttoxeter, Staffordshire Confidential - Specialist Gas Measurement Organisation An established global leader in gas metrology, calibration and analytical science is looking for a Senior Development Scientist to lead cutting-edge research into gas quality and purity for the clean energy sector. This company provides expert measurement science, consultancy and calibration services to clients across energy, environmental, and industrial sectors - helping to set global standards in gas analysis and ensuring accuracy in hydrogen, CO, and LNG applications. The Opportunity You'll play a key role in advancing new analytical methods, instrumentation, and calibration standards. From hydrogen fuel cell impurity testing to CO purity measurement for carbon capture, this role will allow you to apply deep technical expertise across a range of innovative R&D programmes. Key Responsibilities Lead research and development projects in gas analysis, passivation, and purity measurement. Develop and validate new analytical instruments, methodologies and software tools. Oversee laboratory operations, ensuring UKAS accreditation and compliance with quality, safety and environmental standards. Provide technical leadership and consultancy, supporting clients in energy transition and emission reduction programmes. Prepare technical papers, grant applications and client presentations to promote the organisation's scientific capability. Contribute to the design and production of Primary Reference Gas mixtures and measurement standards. Background & Skills Degree (and ideally postgraduate qualification) in chemistry, physics, materials science or a similar discipline. Strong understanding of gas analysis, instrumentation, and calibration science. Experience developing or managing R&D projects within analytical or measurement environments. Excellent communication and reporting skills with the ability to engage clients and research partners. Proficiency in data analysis or basic programming would be advantageous. Why This Role? You'll join a respected, independent organisation that partners globally with energy majors, research institutions, and regulatory bodies to advance gas measurement accuracy and environmental integrity. Alongside competitive salary, performance bonus, and pension contributions, you'll benefit from flexible working, genuine career development, and the chance to contribute to next-generation measurement standards in hydrogen and carbon capture. If you're passionate about applying scientific rigour to real-world energy challenges, this is an outstanding opportunity to lead innovation in a world-class technical environment. INDENG DCS Recruitment and all associated companies are committed to creating a working environment where diversity is celebrated and everyone is treated fairly, regardless of gender, gender identity, disability, ethnic origin, religion or belief, sexual orientation, marital or transgender status, age, or nationality
May 14, 2026
Full time
enior Development Scientist - Gas Metrology & Clean Energy Applications Location: Uttoxeter, Staffordshire Confidential - Specialist Gas Measurement Organisation An established global leader in gas metrology, calibration and analytical science is looking for a Senior Development Scientist to lead cutting-edge research into gas quality and purity for the clean energy sector. This company provides expert measurement science, consultancy and calibration services to clients across energy, environmental, and industrial sectors - helping to set global standards in gas analysis and ensuring accuracy in hydrogen, CO, and LNG applications. The Opportunity You'll play a key role in advancing new analytical methods, instrumentation, and calibration standards. From hydrogen fuel cell impurity testing to CO purity measurement for carbon capture, this role will allow you to apply deep technical expertise across a range of innovative R&D programmes. Key Responsibilities Lead research and development projects in gas analysis, passivation, and purity measurement. Develop and validate new analytical instruments, methodologies and software tools. Oversee laboratory operations, ensuring UKAS accreditation and compliance with quality, safety and environmental standards. Provide technical leadership and consultancy, supporting clients in energy transition and emission reduction programmes. Prepare technical papers, grant applications and client presentations to promote the organisation's scientific capability. Contribute to the design and production of Primary Reference Gas mixtures and measurement standards. Background & Skills Degree (and ideally postgraduate qualification) in chemistry, physics, materials science or a similar discipline. Strong understanding of gas analysis, instrumentation, and calibration science. Experience developing or managing R&D projects within analytical or measurement environments. Excellent communication and reporting skills with the ability to engage clients and research partners. Proficiency in data analysis or basic programming would be advantageous. Why This Role? You'll join a respected, independent organisation that partners globally with energy majors, research institutions, and regulatory bodies to advance gas measurement accuracy and environmental integrity. Alongside competitive salary, performance bonus, and pension contributions, you'll benefit from flexible working, genuine career development, and the chance to contribute to next-generation measurement standards in hydrogen and carbon capture. If you're passionate about applying scientific rigour to real-world energy challenges, this is an outstanding opportunity to lead innovation in a world-class technical environment. INDENG DCS Recruitment and all associated companies are committed to creating a working environment where diversity is celebrated and everyone is treated fairly, regardless of gender, gender identity, disability, ethnic origin, religion or belief, sexual orientation, marital or transgender status, age, or nationality
Senior Audio Data Scientist (Research) Remote, Europe3-5 days per week €70,000 - €100,000 salary (or equivalent compensation) Sentinel is partnering with a specialist team working at the cutting edge of speech AI and clinical research. Their work sits at the intersection of acoustic engineering, machine learning and regulated clinical environments. This is a senior individual contributor role with two core objectives: producing credible, publishable research that validates the science externally, and building the models and pipelines that power the product internally. Responsibilities: Building and improving audio and transcript processing pipelines - segmentation, noise reduction, feature extraction Extracting acoustic, prosodic and linguistic features: pitch, speech rate, pauses, jitter, shimmer, spectral features, sentiment and more Developing models that map signals to behavioural indicators and well-being scores Fine-tuning and integrating LLMs for conversation summarisation, signal labelling and emotion assessment Designing validation studies and contributing to publications, reports and clinical evidence packages Requirements: Research background, including publishing and presenting Hands-on experience with raw audio data and speech processing tools (such as librosa, Kaldi, Praat) Strong in ML frameworks (PyTorch, TensorFlow, scikit-learn) and experienced with LLMs end-to-end PhD or similar depth of experience in speech technology, acoustics, ML or computational linguistics (desirable)
May 12, 2026
Full time
Senior Audio Data Scientist (Research) Remote, Europe3-5 days per week €70,000 - €100,000 salary (or equivalent compensation) Sentinel is partnering with a specialist team working at the cutting edge of speech AI and clinical research. Their work sits at the intersection of acoustic engineering, machine learning and regulated clinical environments. This is a senior individual contributor role with two core objectives: producing credible, publishable research that validates the science externally, and building the models and pipelines that power the product internally. Responsibilities: Building and improving audio and transcript processing pipelines - segmentation, noise reduction, feature extraction Extracting acoustic, prosodic and linguistic features: pitch, speech rate, pauses, jitter, shimmer, spectral features, sentiment and more Developing models that map signals to behavioural indicators and well-being scores Fine-tuning and integrating LLMs for conversation summarisation, signal labelling and emotion assessment Designing validation studies and contributing to publications, reports and clinical evidence packages Requirements: Research background, including publishing and presenting Hands-on experience with raw audio data and speech processing tools (such as librosa, Kaldi, Praat) Strong in ML frameworks (PyTorch, TensorFlow, scikit-learn) and experienced with LLMs end-to-end PhD or similar depth of experience in speech technology, acoustics, ML or computational linguistics (desirable)
A pharmaceutical company based in Greater London is seeking a Senior Application Research Scientist to lead simulation studies in drug discovery. Ideal candidates will have a PhD, 5+ years in molecular simulations, and strong programming skills in Python. Responsibilities include mentoring junior scientists, enhancing simulation protocols, and collaborating with multidisciplinary teams. The role offers a flexible work environment and a rewarding opportunity to contribute to innovative drug development.
May 12, 2026
Full time
A pharmaceutical company based in Greater London is seeking a Senior Application Research Scientist to lead simulation studies in drug discovery. Ideal candidates will have a PhD, 5+ years in molecular simulations, and strong programming skills in Python. Responsibilities include mentoring junior scientists, enhancing simulation protocols, and collaborating with multidisciplinary teams. The role offers a flexible work environment and a rewarding opportunity to contribute to innovative drug development.
About AQEMIA AQEMIA is a drug invention company dedicated to creating entirely new medicines to address major unmet medical needs. At the core of our mission is QEMI, our proprietary molecule-invention platform, which uniquely combines cutting edge science with advanced technology. Powered by physics based modeling, statistical mechanics, and generative AI, QEMI allows our teams to design novel drug candidates from first principles. About our Team AQEMIA brings together a diverse, multidisciplinary team of 65+ professionals based in Paris and London. Our scientists and engineers-including chemists, physicists, machine learning experts, and software engineers-work side by side to push the boundaries of early stage drug discovery. About the Team The mission of the Molecular Simulations Team is threefold: Support drug discovery programs by maximizing the impact of binding free energy calculations in decision making. Build, benchmark and continuously improve reproducible and scalable pipelines for binding free energy calculations, enabling support for multiple programs in parallel. Collaborate closely with our Physics Research Team to integrate innovations from AQEMIA's proprietary binding free energy methods. Role Overview As a Senior Application Research Scientist in the Molecular Simulations Team, you will be a scientific leader and technical expert, contributing to the strategy and delivery of AQEMIA's Binding Free Energy Technology. You will help define and evolve how physics based simulations inform and accelerate drug discovery decisions at AQEMIA. Key Responsibilities Design and lead large scale simulation studies (e.g., relative and absolute binding free energy predictions). Evaluate and improve modelling protocols for reproducibility, accuracy, and efficiency. Serve as a mentor to junior scientists, promoting best practices in simulation and analysis. Contribute to cross functional planning and the integration of simulations with experimental and AI based insights. Stay at the forefront of developments in molecular simulations and suggest innovations to the team. Support the development and scaling of workflows that can serve multiple drug discovery projects. Work closely with the Research Team to implement improvements and updates to AQEMIA's proprietary binding free energy methods. Qualifications & Experience PhD in Computational Chemistry, Biophysics, Statistical Mechanics, or related discipline. 5+ years of experience in molecular simulations, ideally within an industrial drug discovery context. Deep knowledge of free energy methods, molecular dynamics, and simulation software. Experience running and analysing binding free energy calculations. Strong programming/scripting ability (Python) and experience with code sharing platforms (GitHub). Demonstrated ability to lead scientific projects and communicate effectively across disciplines. Nice to Have Experience in machine learning applications for physics based modelling. Track record of scientific publications and contributions to the computational drug discovery community. Preferred Mindset Scientific Rigour: Champion high scientific standards and promote best practices across the team. Humble and Willing to Learn: Lead by example with curiosity and openness to new ideas. Excited by Challenging Scientific Problems: Passionate about solving complex, cutting edge problems and guiding others through them. Pragmatic and Impact Driven: Combine strategic thinking with practical execution to deliver real world impact in a fast paced environment. Leadership through Influence: Inspire and mentor colleagues while fostering a collaborative, high performance culture. Application Deadline We will be accepting applications until 14th April. Once the role closes, our team will review all submissions and reach out to candidates selected for interview. Benefits Expanding Drug Discovery Pipeline: Focused on critical therapeutic areas such as Oncology, CNS, and Immuno inflammation, with in vivo proof of concept and patent stage programs. Collaborations with top Pharma, including a $140M Sanofi deal. World Class Interdisciplinary Team: Work alongside exceptional talent at the intersection of technology and life sciences. DeepTech Recognition: AQEMIA is proud to be part of the French Tech 120 and France 2030, highlighting our role as a key player in Europe's DeepTech ecosystem. Prime Location with Flexibility: Offices located in the heart of Paris and London (King's Cross), with flexible work arrangements including up to two remote days per week. Strong Financial Backing: $100M raised from leading European and International investors.
May 12, 2026
Full time
About AQEMIA AQEMIA is a drug invention company dedicated to creating entirely new medicines to address major unmet medical needs. At the core of our mission is QEMI, our proprietary molecule-invention platform, which uniquely combines cutting edge science with advanced technology. Powered by physics based modeling, statistical mechanics, and generative AI, QEMI allows our teams to design novel drug candidates from first principles. About our Team AQEMIA brings together a diverse, multidisciplinary team of 65+ professionals based in Paris and London. Our scientists and engineers-including chemists, physicists, machine learning experts, and software engineers-work side by side to push the boundaries of early stage drug discovery. About the Team The mission of the Molecular Simulations Team is threefold: Support drug discovery programs by maximizing the impact of binding free energy calculations in decision making. Build, benchmark and continuously improve reproducible and scalable pipelines for binding free energy calculations, enabling support for multiple programs in parallel. Collaborate closely with our Physics Research Team to integrate innovations from AQEMIA's proprietary binding free energy methods. Role Overview As a Senior Application Research Scientist in the Molecular Simulations Team, you will be a scientific leader and technical expert, contributing to the strategy and delivery of AQEMIA's Binding Free Energy Technology. You will help define and evolve how physics based simulations inform and accelerate drug discovery decisions at AQEMIA. Key Responsibilities Design and lead large scale simulation studies (e.g., relative and absolute binding free energy predictions). Evaluate and improve modelling protocols for reproducibility, accuracy, and efficiency. Serve as a mentor to junior scientists, promoting best practices in simulation and analysis. Contribute to cross functional planning and the integration of simulations with experimental and AI based insights. Stay at the forefront of developments in molecular simulations and suggest innovations to the team. Support the development and scaling of workflows that can serve multiple drug discovery projects. Work closely with the Research Team to implement improvements and updates to AQEMIA's proprietary binding free energy methods. Qualifications & Experience PhD in Computational Chemistry, Biophysics, Statistical Mechanics, or related discipline. 5+ years of experience in molecular simulations, ideally within an industrial drug discovery context. Deep knowledge of free energy methods, molecular dynamics, and simulation software. Experience running and analysing binding free energy calculations. Strong programming/scripting ability (Python) and experience with code sharing platforms (GitHub). Demonstrated ability to lead scientific projects and communicate effectively across disciplines. Nice to Have Experience in machine learning applications for physics based modelling. Track record of scientific publications and contributions to the computational drug discovery community. Preferred Mindset Scientific Rigour: Champion high scientific standards and promote best practices across the team. Humble and Willing to Learn: Lead by example with curiosity and openness to new ideas. Excited by Challenging Scientific Problems: Passionate about solving complex, cutting edge problems and guiding others through them. Pragmatic and Impact Driven: Combine strategic thinking with practical execution to deliver real world impact in a fast paced environment. Leadership through Influence: Inspire and mentor colleagues while fostering a collaborative, high performance culture. Application Deadline We will be accepting applications until 14th April. Once the role closes, our team will review all submissions and reach out to candidates selected for interview. Benefits Expanding Drug Discovery Pipeline: Focused on critical therapeutic areas such as Oncology, CNS, and Immuno inflammation, with in vivo proof of concept and patent stage programs. Collaborations with top Pharma, including a $140M Sanofi deal. World Class Interdisciplinary Team: Work alongside exceptional talent at the intersection of technology and life sciences. DeepTech Recognition: AQEMIA is proud to be part of the French Tech 120 and France 2030, highlighting our role as a key player in Europe's DeepTech ecosystem. Prime Location with Flexibility: Offices located in the heart of Paris and London (King's Cross), with flexible work arrangements including up to two remote days per week. Strong Financial Backing: $100M raised from leading European and International investors.
Overview Morgan Advanced Materials is a business rich in history and innovation. Founded in the UK in 1856, we have grown into a global organisation with 70 sites in 18 countries. Our model to serve our customers where they need us has led to a diversified product range using our unparalleled expertise in ceramic and carbon materials, which we exploit to solve difficult problems for our customers across a diverse range of markets. We are a purpose driven organisation. Our purpose is to use advanced materials to make the world more sustainable and to improve the quality of life. We deliver on that purpose through the products that we make, and the way that we make them. The Technical Ceramics business of Morgan Advanced Materials engineers high performance functional and structural ceramic materials, components and sub-assemblies to address customer-specific technical challenges. Key Figures:Revenue £1,100.7m (2024), 8,000 employees, manufacturing in 20+ countries, and a global customer portfolio. A UK PLC with head office located in Windsor, Berkshire UK. Listed on London Stock Exchange; Member of the FTSE 250 Index. Responsibilities Morgan Advanced Materials is a world leader in advanced materials development and production. We produce a wide range of specialist, high specification materials that have extraordinary attributes and properties. Despite the complexity of our technologies, our focus is simple - we supply innovative, differentiated products made from advanced materials which enable our customers' products to perform more efficiently, more reliably and for longer. Material science is pivotal to our Company's success as it is a key constituent to developing our distinctive competencies that differentiate our business from the competition. The Structural Ceramics Global Centre of Excellence serves our global customers by developing new, differentiated materials technologies for structural ceramics applications. The Centre of Excellence leads in innovating new formulations and processes, serves as a hub for academic collaboration on structural ceramics with key university faculties worldwide and acts as a focal point for R&D with raw material suppliers. It allows Morgan to focus on both idea generation and execution in one integrated facility, with the ultimate aim of maximising the performance of our customers' applications and processes. This Senior Materials Scientist role extends that of the Materials Scientist in taking individual lead on strategic projects for the business, providing a source of technology expertise within the CoE and across the wider business and in leading, guiding and mentoring Materials Scientists within the group. The individual will have demonstrable technical skill and an ability to apply their core skills across a wide range of technical challenges, being able to swiftly learn new technical areas and working beyond past discrete experiences. Principal Objectives Lead strategic development programmes to enhance material, processor product performance Lead the definition, planning and execution of the technology development programmes to achieve success. Act as a source of Materials Science and technology expertise across the CoE and the wider Morgan Global Business Units Represent the CoE at a GBU level in technology relevant activities and on a wider basis represent Morgan in external interactions Supervise, guide and mentor Materials Scientists Design, organise and carry out material analysis, development, production and processing trials at laboratory, pilot and production scales. Interact with global raw materials or equipment suppliers and research facilities to coordinate support for the R&D program, and to organise external testing programs to benchmark and develop capabilities. Define, plan, direct and supervise the day to day activities of technicians supporting projects Assess, analyse and interpret development results, adapting and iterating project activities to achieve the desired outcomes within an optimised timescale. Ensure high standards of operational management including measurement control and data recording. Where necessary to develop new or improved development or testing methods. Apply existing knowledge of materials and processes to maximise benefits to the business through increased sales revenue and lower operating costs. Develop quicker and more efficient routes and processes for materials development Identify, quantify and communicate improvement opportunities relating to materials science and manufacture. Support recruitment of technical employees and build links with technology contacts both within and external to the Morgan portfolio. Peer review the work of others to maintain technical standards Support and enhance the company's commitment to the highest standards of Health and Safety and ensure all policies are adhered to during daily working. Investigate and resolve technical issues that may arise in the manufacturing process or products. Qualifications Educated to PhD level or equivalent experience in Materials Science or a closely related scientific field. Candidates with proven R&D experience and expertise in ceramic manufacturing would be particularly attractive. Experience leading project delivery to meet stakeholder requirements, leading projects of scale; directing, supervising and mentoring technologists and technician staff, collaborating across multiple time zones and cultures. Ability to take ownership of a complex problem and work in a structured manner to develop a solution by following an evidence-led development path. Act as a source of technical competency both within the group and across the wider relevant business portfolio. Demonstrate a good understanding of the commercial drivers and benefits associated with development and the steer of activity towards pragmatic and fundamental goals. Excellent record keeping of laboratory experiments. Ability to communicate complex ideas clearly to a non-technical audience. Can understand and analyse complex data. Is able to spot flaws and trends and work around these. Able to apply scientific reasoning to complex industrial situations. Able to locate & exploit relevant technology from other industries. An innovative and logical thinker. Energetic, enthusiastic, flexible and adaptable. Willing to offer a 'hands on' approach. Willing to travel nationally and internationally. Able to prioritise work according to business need. Competent carrying out COSHH and risk assessments and works with a focus on Health and Safety. Able to delegate work according to business need and technical strategy. Attributes Be a self-motivated and proactive individual. Work effectively with people beyond educational / age / background peer group. Leadership and mentorship qualities. Be able to work as part of a team. Be able to communicate effectively with people at all levels. Be persistent, energetic & enthusiastic and adaptable to achieve objectives. Pursue continuous improvement, both in the workplace and in their own skills & knowledge. Be customer and supplier facing. Encourage and develop others to achieve personal and team objectives. Morgan Advanced Materials is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate based on race, religion, gender, sexual orientation, gender identity, age, disability, national origin, veteran status, or any other legally protected status. Ind-1
May 11, 2026
Full time
Overview Morgan Advanced Materials is a business rich in history and innovation. Founded in the UK in 1856, we have grown into a global organisation with 70 sites in 18 countries. Our model to serve our customers where they need us has led to a diversified product range using our unparalleled expertise in ceramic and carbon materials, which we exploit to solve difficult problems for our customers across a diverse range of markets. We are a purpose driven organisation. Our purpose is to use advanced materials to make the world more sustainable and to improve the quality of life. We deliver on that purpose through the products that we make, and the way that we make them. The Technical Ceramics business of Morgan Advanced Materials engineers high performance functional and structural ceramic materials, components and sub-assemblies to address customer-specific technical challenges. Key Figures:Revenue £1,100.7m (2024), 8,000 employees, manufacturing in 20+ countries, and a global customer portfolio. A UK PLC with head office located in Windsor, Berkshire UK. Listed on London Stock Exchange; Member of the FTSE 250 Index. Responsibilities Morgan Advanced Materials is a world leader in advanced materials development and production. We produce a wide range of specialist, high specification materials that have extraordinary attributes and properties. Despite the complexity of our technologies, our focus is simple - we supply innovative, differentiated products made from advanced materials which enable our customers' products to perform more efficiently, more reliably and for longer. Material science is pivotal to our Company's success as it is a key constituent to developing our distinctive competencies that differentiate our business from the competition. The Structural Ceramics Global Centre of Excellence serves our global customers by developing new, differentiated materials technologies for structural ceramics applications. The Centre of Excellence leads in innovating new formulations and processes, serves as a hub for academic collaboration on structural ceramics with key university faculties worldwide and acts as a focal point for R&D with raw material suppliers. It allows Morgan to focus on both idea generation and execution in one integrated facility, with the ultimate aim of maximising the performance of our customers' applications and processes. This Senior Materials Scientist role extends that of the Materials Scientist in taking individual lead on strategic projects for the business, providing a source of technology expertise within the CoE and across the wider business and in leading, guiding and mentoring Materials Scientists within the group. The individual will have demonstrable technical skill and an ability to apply their core skills across a wide range of technical challenges, being able to swiftly learn new technical areas and working beyond past discrete experiences. Principal Objectives Lead strategic development programmes to enhance material, processor product performance Lead the definition, planning and execution of the technology development programmes to achieve success. Act as a source of Materials Science and technology expertise across the CoE and the wider Morgan Global Business Units Represent the CoE at a GBU level in technology relevant activities and on a wider basis represent Morgan in external interactions Supervise, guide and mentor Materials Scientists Design, organise and carry out material analysis, development, production and processing trials at laboratory, pilot and production scales. Interact with global raw materials or equipment suppliers and research facilities to coordinate support for the R&D program, and to organise external testing programs to benchmark and develop capabilities. Define, plan, direct and supervise the day to day activities of technicians supporting projects Assess, analyse and interpret development results, adapting and iterating project activities to achieve the desired outcomes within an optimised timescale. Ensure high standards of operational management including measurement control and data recording. Where necessary to develop new or improved development or testing methods. Apply existing knowledge of materials and processes to maximise benefits to the business through increased sales revenue and lower operating costs. Develop quicker and more efficient routes and processes for materials development Identify, quantify and communicate improvement opportunities relating to materials science and manufacture. Support recruitment of technical employees and build links with technology contacts both within and external to the Morgan portfolio. Peer review the work of others to maintain technical standards Support and enhance the company's commitment to the highest standards of Health and Safety and ensure all policies are adhered to during daily working. Investigate and resolve technical issues that may arise in the manufacturing process or products. Qualifications Educated to PhD level or equivalent experience in Materials Science or a closely related scientific field. Candidates with proven R&D experience and expertise in ceramic manufacturing would be particularly attractive. Experience leading project delivery to meet stakeholder requirements, leading projects of scale; directing, supervising and mentoring technologists and technician staff, collaborating across multiple time zones and cultures. Ability to take ownership of a complex problem and work in a structured manner to develop a solution by following an evidence-led development path. Act as a source of technical competency both within the group and across the wider relevant business portfolio. Demonstrate a good understanding of the commercial drivers and benefits associated with development and the steer of activity towards pragmatic and fundamental goals. Excellent record keeping of laboratory experiments. Ability to communicate complex ideas clearly to a non-technical audience. Can understand and analyse complex data. Is able to spot flaws and trends and work around these. Able to apply scientific reasoning to complex industrial situations. Able to locate & exploit relevant technology from other industries. An innovative and logical thinker. Energetic, enthusiastic, flexible and adaptable. Willing to offer a 'hands on' approach. Willing to travel nationally and internationally. Able to prioritise work according to business need. Competent carrying out COSHH and risk assessments and works with a focus on Health and Safety. Able to delegate work according to business need and technical strategy. Attributes Be a self-motivated and proactive individual. Work effectively with people beyond educational / age / background peer group. Leadership and mentorship qualities. Be able to work as part of a team. Be able to communicate effectively with people at all levels. Be persistent, energetic & enthusiastic and adaptable to achieve objectives. Pursue continuous improvement, both in the workplace and in their own skills & knowledge. Be customer and supplier facing. Encourage and develop others to achieve personal and team objectives. Morgan Advanced Materials is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate based on race, religion, gender, sexual orientation, gender identity, age, disability, national origin, veteran status, or any other legally protected status. Ind-1
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. Brief Description: A key contributor within the Team, having the following responsibility and accountability. Responsible for planning, execution and reporting of all aspects of project related work. Hands on approach to all aspects of work to ensure mentorship and team strength is achieved. Achievement of all departmental and project related goals in a timely manner. Accountable for applying appropriate scientific rigor, building in quality and managing risk to ensure good quality, scientific outcomes. Demonstration of collaborative and positive behaviors. An appropriate level of knowledge and experience will be required to mentor junior team members and provide key scientific expertise as input to various projects within the department in support of functional matrix teams for robust, phase appropriate development of oral liquid and solid dosage drug products. Essential Functions/Responsibilities Maintain and provide in-depth knowledge and expertise on the drug development process and relevant new technologies. Practical and theoretical understanding in a range of scientific skills and technologies associated with drug substance and drug product development/ manufacture at all lifecycle stages. Demonstrate competency and innovation on a range of complex skills and instruments, associated with the characterisation of oral liquid and solid dosage forms. Contribute toward process driven continuous improvement initiatives with consideration for the team, the department, and the company. Record and review all experimental outcomes in an appropriate format and support junior scientists to ensure the same high standards are maintained across the team. Lead and mentor in the design of protocols and experimental work Report and communicate project outcomes in an appropriate manner. Identify and resolve promptly any problems occurring at any phase of a study, escalating to the line manager where necessary. Maintain all areas of the laboratory in a safe, clean and tidy state. Maintain a safety first approach and ensure that cGxP is followed at all times. Ensure training record is maintained to cGxP. Ensure all applicable quality measures are met and adhered to. Assist in the creation and maintenance of all relevant cGxP documents. The role holder is responsible for maintaining cGxP and Health and Safety Knowledge relevant to the role. Write or constructively review S.O.P's, Protocols, technical reports, risk assessments as required. Required Knowledge, Skills, and Abilities Relevant working knowledge of material science principles applied to pharmaceutical development, including excipient functionality, solid-state characterization, and stability. Experience with material characterization techniques such as DSC, TGA, XRPD, SEM, Microscopy, particle size analysis, and rheology. Understanding of material properties and their impact on drug product performance, manufacturability, and lifecycle development. Knowledge of regulatory expectations related to material science in pharmaceutical development (e.g., ICH guidelines, compendial standards). Demonstrated experience in supporting drug substance, formulation and process development through material science insights. Ability to troubleshoot technical issues related to material attributes and propose science-based solutions. Proven communication skills, including technical writing, presentation of complex data, and cross-functional collaboration. Authorship of technical documentation, including material risk assessments, characterization reports, and regulatory submission content. Ability to coach and mentor junior scientists and contribute to capability building within the team. Required/Preferred Education and Licenses Degree plus appropriate industry experience or PhD in a relevant field with appropriate industry experience. Awareness of risk management principles desirable. Awareness of project management principles desirable. Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
Oct 08, 2025
Full time
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. Brief Description: A key contributor within the Team, having the following responsibility and accountability. Responsible for planning, execution and reporting of all aspects of project related work. Hands on approach to all aspects of work to ensure mentorship and team strength is achieved. Achievement of all departmental and project related goals in a timely manner. Accountable for applying appropriate scientific rigor, building in quality and managing risk to ensure good quality, scientific outcomes. Demonstration of collaborative and positive behaviors. An appropriate level of knowledge and experience will be required to mentor junior team members and provide key scientific expertise as input to various projects within the department in support of functional matrix teams for robust, phase appropriate development of oral liquid and solid dosage drug products. Essential Functions/Responsibilities Maintain and provide in-depth knowledge and expertise on the drug development process and relevant new technologies. Practical and theoretical understanding in a range of scientific skills and technologies associated with drug substance and drug product development/ manufacture at all lifecycle stages. Demonstrate competency and innovation on a range of complex skills and instruments, associated with the characterisation of oral liquid and solid dosage forms. Contribute toward process driven continuous improvement initiatives with consideration for the team, the department, and the company. Record and review all experimental outcomes in an appropriate format and support junior scientists to ensure the same high standards are maintained across the team. Lead and mentor in the design of protocols and experimental work Report and communicate project outcomes in an appropriate manner. Identify and resolve promptly any problems occurring at any phase of a study, escalating to the line manager where necessary. Maintain all areas of the laboratory in a safe, clean and tidy state. Maintain a safety first approach and ensure that cGxP is followed at all times. Ensure training record is maintained to cGxP. Ensure all applicable quality measures are met and adhered to. Assist in the creation and maintenance of all relevant cGxP documents. The role holder is responsible for maintaining cGxP and Health and Safety Knowledge relevant to the role. Write or constructively review S.O.P's, Protocols, technical reports, risk assessments as required. Required Knowledge, Skills, and Abilities Relevant working knowledge of material science principles applied to pharmaceutical development, including excipient functionality, solid-state characterization, and stability. Experience with material characterization techniques such as DSC, TGA, XRPD, SEM, Microscopy, particle size analysis, and rheology. Understanding of material properties and their impact on drug product performance, manufacturability, and lifecycle development. Knowledge of regulatory expectations related to material science in pharmaceutical development (e.g., ICH guidelines, compendial standards). Demonstrated experience in supporting drug substance, formulation and process development through material science insights. Ability to troubleshoot technical issues related to material attributes and propose science-based solutions. Proven communication skills, including technical writing, presentation of complex data, and cross-functional collaboration. Authorship of technical documentation, including material risk assessments, characterization reports, and regulatory submission content. Ability to coach and mentor junior scientists and contribute to capability building within the team. Required/Preferred Education and Licenses Degree plus appropriate industry experience or PhD in a relevant field with appropriate industry experience. Awareness of risk management principles desirable. Awareness of project management principles desirable. Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
CY Partners are working with a leading UK research organisation, based in York, who specialise in environmental science. They re seeking an experienced Senior Scientist to join their Animal Health Monitoring team In this position, you ll take ownership of scientific delivery, contribute to new project development within a highly regarded organisation known for its technical excellence. Key Responsibilities: Lead and deliver high-quality diagnostic and screening services in animal health monitoring, ensuring projects are completed accurately, efficiently and to strict timelines. Oversee and support scientists and assistant scientists, ensuring adherence to quality systems, licensing requirements, and health & safety standards. Contribute to the development of new proposals, products, and service improvements. Engage in scientific publication, presentation and collaboration opportunities to enhance both your own and the organisation s scientific reputation. Requirements: Degree-qualified (BSc or higher) in a relevant biological or veterinary science discipline, with significant experience in veterinary diagnostics. Strong technical expertise across areas such as molecular diagnostics, bacteriology, parasitology, serology, and necropsy. Strong understanding of quality standards, H&S requirements, and regulatory frameworks (including FELASA recommendations). Excellent organisational and communication skills, with the ability to manage multiple projects, report effectively, and represent your work at meetings or conferences. This is an exciting opportunity for a driven Scientist who wants to take ownership of impactful animal health research within a highly respected organisation. If you re ready to apply today, get in touch with Graham at CY Partners to discuss.
Oct 08, 2025
Full time
CY Partners are working with a leading UK research organisation, based in York, who specialise in environmental science. They re seeking an experienced Senior Scientist to join their Animal Health Monitoring team In this position, you ll take ownership of scientific delivery, contribute to new project development within a highly regarded organisation known for its technical excellence. Key Responsibilities: Lead and deliver high-quality diagnostic and screening services in animal health monitoring, ensuring projects are completed accurately, efficiently and to strict timelines. Oversee and support scientists and assistant scientists, ensuring adherence to quality systems, licensing requirements, and health & safety standards. Contribute to the development of new proposals, products, and service improvements. Engage in scientific publication, presentation and collaboration opportunities to enhance both your own and the organisation s scientific reputation. Requirements: Degree-qualified (BSc or higher) in a relevant biological or veterinary science discipline, with significant experience in veterinary diagnostics. Strong technical expertise across areas such as molecular diagnostics, bacteriology, parasitology, serology, and necropsy. Strong understanding of quality standards, H&S requirements, and regulatory frameworks (including FELASA recommendations). Excellent organisational and communication skills, with the ability to manage multiple projects, report effectively, and represent your work at meetings or conferences. This is an exciting opportunity for a driven Scientist who wants to take ownership of impactful animal health research within a highly respected organisation. If you re ready to apply today, get in touch with Graham at CY Partners to discuss.
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. Brief Description: A key contributor within the Team, having the following responsibility and accountability. Responsible for planning, execution and reporting of all aspects of project related work. Hands on approach to all aspects of work to ensure mentorship and team strength is achieved. Achievement of all departmental and project related goals in a timely manner. Accountable for applying appropriate scientific rigor, building in quality and managing risk to ensure good quality, scientific outcomes. Demonstration of collaborative and positive behaviors. An appropriate level of knowledge and experience will be required to mentor junior team members and provide key scientific expertise as input to various projects within the department in support of functional matrix teams for robust, phase appropriate development of oral liquid and solid dosage drug products. Essential Functions/Responsibilities Maintain and provide in-depth knowledge and expertise on the drug development process and relevant new technologies. Practical and theoretical understanding in a range of scientific skills and technologies associated with drug substance and drug product development/ manufacture at all lifecycle stages. Demonstrate competency and innovation on a range of complex skills and instruments, associated with the characterisation of oral liquid and solid dosage forms. Contribute toward process driven continuous improvement initiatives with consideration for the team, the department, and the company. Record and review all experimental outcomes in an appropriate format and support junior scientists to ensure the same high standards are maintained across the team. Lead and mentor in the design of protocols and experimental work Report and communicate project outcomes in an appropriate manner. Identify and resolve promptly any problems occurring at any phase of a study, escalating to the line manager where necessary. Maintain all areas of the laboratory in a safe, clean and tidy state. Maintain a safety first approach and ensure that cGxP is followed at all times. Ensure training record is maintained to cGxP. Ensure all applicable quality measures are met and adhered to. Assist in the creation and maintenance of all relevant cGxP documents. The role holder is responsible for maintaining cGxP and Health and Safety Knowledge relevant to the role. Write or constructively review S.O.P's, Protocols, technical reports, risk assessments as required. Required Knowledge, Skills, and Abilities Relevant working knowledge of material science principles applied to pharmaceutical development, including excipient functionality, solid-state characterization, and stability. Experience with material characterization techniques such as DSC, TGA, XRPD, SEM, Microscopy, particle size analysis, and rheology. Understanding of material properties and their impact on drug product performance, manufacturability, and lifecycle development. Knowledge of regulatory expectations related to material science in pharmaceutical development (e.g., ICH guidelines, compendial standards). Demonstrated experience in supporting drug substance, formulation and process development through material science insights. Ability to troubleshoot technical issues related to material attributes and propose science-based solutions. Proven communication skills, including technical writing, presentation of complex data, and cross-functional collaboration. Authorship of technical documentation, including material risk assessments, characterization reports, and regulatory submission content. Ability to coach and mentor junior scientists and contribute to capability building within the team. Required/Preferred Education and Licenses Degree plus appropriate industry experience or PhD in a relevant field with appropriate industry experience. Awareness of risk management principles desirable. Awareness of project management principles desirable. Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
Oct 07, 2025
Full time
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. Brief Description: A key contributor within the Team, having the following responsibility and accountability. Responsible for planning, execution and reporting of all aspects of project related work. Hands on approach to all aspects of work to ensure mentorship and team strength is achieved. Achievement of all departmental and project related goals in a timely manner. Accountable for applying appropriate scientific rigor, building in quality and managing risk to ensure good quality, scientific outcomes. Demonstration of collaborative and positive behaviors. An appropriate level of knowledge and experience will be required to mentor junior team members and provide key scientific expertise as input to various projects within the department in support of functional matrix teams for robust, phase appropriate development of oral liquid and solid dosage drug products. Essential Functions/Responsibilities Maintain and provide in-depth knowledge and expertise on the drug development process and relevant new technologies. Practical and theoretical understanding in a range of scientific skills and technologies associated with drug substance and drug product development/ manufacture at all lifecycle stages. Demonstrate competency and innovation on a range of complex skills and instruments, associated with the characterisation of oral liquid and solid dosage forms. Contribute toward process driven continuous improvement initiatives with consideration for the team, the department, and the company. Record and review all experimental outcomes in an appropriate format and support junior scientists to ensure the same high standards are maintained across the team. Lead and mentor in the design of protocols and experimental work Report and communicate project outcomes in an appropriate manner. Identify and resolve promptly any problems occurring at any phase of a study, escalating to the line manager where necessary. Maintain all areas of the laboratory in a safe, clean and tidy state. Maintain a safety first approach and ensure that cGxP is followed at all times. Ensure training record is maintained to cGxP. Ensure all applicable quality measures are met and adhered to. Assist in the creation and maintenance of all relevant cGxP documents. The role holder is responsible for maintaining cGxP and Health and Safety Knowledge relevant to the role. Write or constructively review S.O.P's, Protocols, technical reports, risk assessments as required. Required Knowledge, Skills, and Abilities Relevant working knowledge of material science principles applied to pharmaceutical development, including excipient functionality, solid-state characterization, and stability. Experience with material characterization techniques such as DSC, TGA, XRPD, SEM, Microscopy, particle size analysis, and rheology. Understanding of material properties and their impact on drug product performance, manufacturability, and lifecycle development. Knowledge of regulatory expectations related to material science in pharmaceutical development (e.g., ICH guidelines, compendial standards). Demonstrated experience in supporting drug substance, formulation and process development through material science insights. Ability to troubleshoot technical issues related to material attributes and propose science-based solutions. Proven communication skills, including technical writing, presentation of complex data, and cross-functional collaboration. Authorship of technical documentation, including material risk assessments, characterization reports, and regulatory submission content. Ability to coach and mentor junior scientists and contribute to capability building within the team. Required/Preferred Education and Licenses Degree plus appropriate industry experience or PhD in a relevant field with appropriate industry experience. Awareness of risk management principles desirable. Awareness of project management principles desirable. Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
Explore AI/ML solutions to tough physics problems in the Defence domain This research team is looking for an experienced engineer or post-doctoral scientist to help them explore the use of modern ML techniques for solving problems across defence related domains such as RF, edge AI and AI security. They work collaboratively within their team as well as with other teams working on similar problems spread across the country. Their work is highly experimental, and it is understood that not all projects succeed, even failed projects contain valuable insights. You will be building upon cutting-edge ML techniques such as transformers and reinforcement learning to create novel multi-modal solutions. Examples include sensor fusion systems, physics-informed neural networks for simulations, and multi-purpose autonomous robots. Projects will be defence focused but may include offensive capabilities. Please note, as projects are defence related, you will need to qualify for UK security clearance to be considered for this role. Requirements: PhD or equivalent professional experience in a field that demonstrates significant understanding of both computer science and advanced statistical or numerical methods Practical experience applying ML techniques to solve real-world problems Knowledgeable in conducting and publishing (as first author) high-quality research for academic journals Team leadership experience While not required, both a good understanding of RF physics and previous involvement in defence related research projects would be highly beneficial. This team has an academic and welcoming work environment where ideas are judged on merit and good work rewarded fairly. Due to the research heavy nature of projects, the team can often work from home and be in the office as little as one day each week. The office itself is located in central London very close to major public transport links making it an easy commute from either within London or the surrounding area. Initially this is an 18-month contract with the expectation of extending this as more funding is released. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27404 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
Oct 07, 2025
Full time
Explore AI/ML solutions to tough physics problems in the Defence domain This research team is looking for an experienced engineer or post-doctoral scientist to help them explore the use of modern ML techniques for solving problems across defence related domains such as RF, edge AI and AI security. They work collaboratively within their team as well as with other teams working on similar problems spread across the country. Their work is highly experimental, and it is understood that not all projects succeed, even failed projects contain valuable insights. You will be building upon cutting-edge ML techniques such as transformers and reinforcement learning to create novel multi-modal solutions. Examples include sensor fusion systems, physics-informed neural networks for simulations, and multi-purpose autonomous robots. Projects will be defence focused but may include offensive capabilities. Please note, as projects are defence related, you will need to qualify for UK security clearance to be considered for this role. Requirements: PhD or equivalent professional experience in a field that demonstrates significant understanding of both computer science and advanced statistical or numerical methods Practical experience applying ML techniques to solve real-world problems Knowledgeable in conducting and publishing (as first author) high-quality research for academic journals Team leadership experience While not required, both a good understanding of RF physics and previous involvement in defence related research projects would be highly beneficial. This team has an academic and welcoming work environment where ideas are judged on merit and good work rewarded fairly. Due to the research heavy nature of projects, the team can often work from home and be in the office as little as one day each week. The office itself is located in central London very close to major public transport links making it an easy commute from either within London or the surrounding area. Initially this is an 18-month contract with the expectation of extending this as more funding is released. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27404 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
CK Group- Science, Clinical and Technical
Oxford, Oxfordshire
CK Group are recruiting for a Senior Buyer, Laboratory, to join a growing and exciting research facility in Oxford, on a permanent basis. This role will be hybrid, requiring you to be on-site for three days a week. The Company: A research-driven organisation led by talented scientists and entrepreneurs, dedicated to creating sustainable solutions for global challenges through interdisciplinary collaboration. This exciting new campus will feature state of art R&D facility, specialised laboratories, oncology clinics and focus on bridging scientific discovery with real-world applications by integrating expertise from various fields, including biomedical science, engineering, and public health. The Role: Our client is seeking an experienced and commercially savvy Senior Buyer, Healthcare & Laboratory, to source, negotiate, purchase and manage the supply of essential materials and equipment for the facilities department, including both laboratory research and clinical operations. Responsibilities: Managing the procurement of healthcare and laboratory products and services. Working closely with Legal Services to ensure timely contract reviews. Negotiate contracts with suppliers to ensure optimal terms and pricing. Evaluating supplier performance and maintaining strong vendor relationships. Developing and implementing cost-saving initiatives without compromising quality. Manage the documentation required for procurement, including purchase orders, invoices, contracts, and shipping records. Your Background: A relevant BSc. Minimum CIPS Level 4. Experience of working with laboratory reagents, consumables, equipment, and clinical trial supplies is highly preferred. Knowledge of Good Laboratory Practice (GLP), Good Clinical Practice (GCP), and regulatory requirements related to procurement in scientific settings. Experience with procurement software, ERP systems, and inventory management tools is desirable. Salary: Competitive with an excellent benefits package. Apply : It is essential that applicants hold entitlement to work in the UK. Please quote job reference (Apply online only) in all correspondence. If this position isn't suitable but you are looking for a new role, or if you are interested in seeing what opportunities are out there, head over to our LinkedIn page (cka-group) and follow us to see our latest jobs and company news. INDLS
Oct 07, 2025
Full time
CK Group are recruiting for a Senior Buyer, Laboratory, to join a growing and exciting research facility in Oxford, on a permanent basis. This role will be hybrid, requiring you to be on-site for three days a week. The Company: A research-driven organisation led by talented scientists and entrepreneurs, dedicated to creating sustainable solutions for global challenges through interdisciplinary collaboration. This exciting new campus will feature state of art R&D facility, specialised laboratories, oncology clinics and focus on bridging scientific discovery with real-world applications by integrating expertise from various fields, including biomedical science, engineering, and public health. The Role: Our client is seeking an experienced and commercially savvy Senior Buyer, Healthcare & Laboratory, to source, negotiate, purchase and manage the supply of essential materials and equipment for the facilities department, including both laboratory research and clinical operations. Responsibilities: Managing the procurement of healthcare and laboratory products and services. Working closely with Legal Services to ensure timely contract reviews. Negotiate contracts with suppliers to ensure optimal terms and pricing. Evaluating supplier performance and maintaining strong vendor relationships. Developing and implementing cost-saving initiatives without compromising quality. Manage the documentation required for procurement, including purchase orders, invoices, contracts, and shipping records. Your Background: A relevant BSc. Minimum CIPS Level 4. Experience of working with laboratory reagents, consumables, equipment, and clinical trial supplies is highly preferred. Knowledge of Good Laboratory Practice (GLP), Good Clinical Practice (GCP), and regulatory requirements related to procurement in scientific settings. Experience with procurement software, ERP systems, and inventory management tools is desirable. Salary: Competitive with an excellent benefits package. Apply : It is essential that applicants hold entitlement to work in the UK. Please quote job reference (Apply online only) in all correspondence. If this position isn't suitable but you are looking for a new role, or if you are interested in seeing what opportunities are out there, head over to our LinkedIn page (cka-group) and follow us to see our latest jobs and company news. INDLS
AWS Data Engineer - VP Level Location: London (Canary Wharf) Salary: (phone number removed) - (phone number removed) A leading financial institution is seeking a Senior AWS Data Engineer to join a greenfield initiative focused on transforming market data access and utilization. This VP-level role offers strategic influence, technical leadership, and cross-functional collaboration across business units. Key Responsibilities: Design and maintain scalable data pipelines, warehouses, and lakes using AWS technologies. Implement robust data governance, quality, and security practices. Collaborate with data scientists to deploy machine learning models. Lead or contribute to strategic planning, risk management, and stakeholder engagement. Drive innovation through advanced analytics and research-based problem solving. To be successful you should have: 10 years hands-on experience in AWS data engineering technologies, including Glue, PySpark, Athena, Iceberg, Databricks, Lake Formation, and other standard data engineering tools. Previous experience in implementing best practices for data engineering, including data governance, data quality, and data security. Proficiency in data processing and analysis using Python and SQL. Experience with data governance, data quality, and data security best practices. Strong knowledge of market data and its applications. Some other highly valued skills may include: Experience with other data engineering tools and technologies. Knowledge of machine learning and data science concepts. Familiarity with Barclays' data strategy and practices. Please send me your CV is you meet these requirements and we can then arrange call
Oct 06, 2025
Full time
AWS Data Engineer - VP Level Location: London (Canary Wharf) Salary: (phone number removed) - (phone number removed) A leading financial institution is seeking a Senior AWS Data Engineer to join a greenfield initiative focused on transforming market data access and utilization. This VP-level role offers strategic influence, technical leadership, and cross-functional collaboration across business units. Key Responsibilities: Design and maintain scalable data pipelines, warehouses, and lakes using AWS technologies. Implement robust data governance, quality, and security practices. Collaborate with data scientists to deploy machine learning models. Lead or contribute to strategic planning, risk management, and stakeholder engagement. Drive innovation through advanced analytics and research-based problem solving. To be successful you should have: 10 years hands-on experience in AWS data engineering technologies, including Glue, PySpark, Athena, Iceberg, Databricks, Lake Formation, and other standard data engineering tools. Previous experience in implementing best practices for data engineering, including data governance, data quality, and data security. Proficiency in data processing and analysis using Python and SQL. Experience with data governance, data quality, and data security best practices. Strong knowledge of market data and its applications. Some other highly valued skills may include: Experience with other data engineering tools and technologies. Knowledge of machine learning and data science concepts. Familiarity with Barclays' data strategy and practices. Please send me your CV is you meet these requirements and we can then arrange call
