You will need to login before you can apply for a job. Site Name: Cambridge 300 Technology Square, London The Stanley Building, USA - Pennsylvania - Upper Providence Posted Date: Mar 6 2026 At GSK, we unite science, technology and talent to get ahead of disease together. Our ambition is to positively impact the health of 2.5 billion people over the next decade. We are building a future where state of the art software, AI, and machine learning enable us to discover new therapies and personalized medicines that drive better outcomes for patients at reduced cost and with fewer side effects. The Applied AI team sits at the intersection of business need and technical capability within the AI/ML department. We directly support business units with AI/ML related challenges, acting as ambassadors for responsible AI across the organization. This role is your opportunity to work at the frontier of applied machine learning in one of the world's leading biopharma companies, translating cutting edge AI research into real scientific and business impact. About the Role As a Senior Applied AI Engineer, you will be embedded within cross functional teams to deliver practical, high impact AI/ML solutions aligned with GSK's R&D and business priorities. You will partner closely with scientists, product teams, and domain experts to design, build, and deploy machine learning models and AI powered tools that accelerate drug discovery, improve decision making, and enable responsible use of AI across the enterprise. This role is hands on and consultative in equal measure. You will evaluate use case feasibility, prototype solutions rapidly, architect model integrations, and transfer knowledge so that partner teams can operate independently. You will also contribute to the development of reusable patterns, baseline models, and tested pipelines for common AI/ML tasks within GSK's approved. Key Responsibilities Advisory & Solution Design Provide tailored guidance to business units on AI/ML use cases, feasibility, model selection, and deployment options, particularly in scientific domains without active AI/ML engineering efforts. Co design prototypes and proof of concepts (PoCs) with product and domain teams to validate ideas quickly and de risk larger investments. Translate complex stakeholder requirements into well scoped technical solutions with clear success criteria and handover plans. Model Development & Deployment Build, train, evaluate, and iterate on ML models for real world scientific and business problems-including but not limited to NLP/LLM applications, knowledge graphs, causal inference, computer vision, and predictive modeling. Package trained models into production ready services (APIs, containerized deployments) using GSK's cloud infrastructure (GCP/AWS/Azure). Develop and maintain agentic AI systems, multi agent architectures, and LLM based tools where appropriate. Share reusable patterns, baseline models, and tested pipelines for common AI/ML tasks. Embed privacy, ethics, and regulatory considerations into every engagement from the outset. Knowledge Transfer & Enablement Run workshops, seminars, and hands on training sessions to increase AI literacy across the organization. Embed within business/research units for time limited engagements (typically 6 8 weeks) to accelerate delivery and transfer skills. Communicate relevant issues, requests, and opportunities from business units back to AI/ML product leads. Basic Qualifications Bachelor's degree in Computer Science, Machine Learning, Computational Biology, Bioinformatics, Statistics, Engineering, or a related quantitative discipline; OR equivalent professional experience as a software/ML engineer. 3+ years of professional experience developing and deploying machine learning models (with a Bachelor's); 2+ years with a Master's or PhD. Expertise in Python, including ML/Data Science libraries (PyTorch, TensorFlow, JAX, scikit learn, pandas, numpy). Experience with cloud platforms (GCP, AWS, or Azure) and containerization (Docker, Kubernetes). Strong understanding of ML fundamentals: supervised/unsupervised learning, deep learning, model evaluation, feature engineering, and experiment tracking. Experience working in cross functional teams and communicating technical concepts to non technical stakeholders. Experience working in healthcare, pharma, or biological domains. Preferred Qualifications Experience in pharma, biotech, or life sciences-particularly in drug discovery, genomics, clinical data, or biological data analysis. Hands on experience building LLM based applications, agentic AI systems, RAG pipelines, or multi agent architectures (e.g., LangChain, LangGraph, AutoGen). Experience with knowledge graph construction, causal inference, or large perturbation models. Familiarity with single cell RNA seq, spatial transcriptomics, CRISPR assay data, or other high dimensional biological datasets. Experience with MLOps practices: CI/CD for ML, model monitoring, experiment tracking (MLflow, Weights & Biases), and reproducible research workflows. Contributions to open source ML/AI projects or peer reviewed publications in applied ML. Background or demonstrated interest in responsible AI, AI ethics, or model governance. Strong software engineering practices: version control (Git/GitHub), code review, testing, and documentation. Experience evaluating and integrating third party AI/ML vendor tools and platforms. Salary & Benefits If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $160,050 to $266,750. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process. Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. GSK is committed to creating an environment where our people can thrive and focus on what matters most. Equal Opportunity Employer GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important Notice to Employment Businesses/Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. In the absence of such written authorization, any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. GSK strives to accommodate applicants with disabilities and provide equal access. If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at . GSK may be required to capture and report expenses incurred on your behalf in the event you are afforded an interview for employment. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at
Apr 03, 2026
Full time
You will need to login before you can apply for a job. Site Name: Cambridge 300 Technology Square, London The Stanley Building, USA - Pennsylvania - Upper Providence Posted Date: Mar 6 2026 At GSK, we unite science, technology and talent to get ahead of disease together. Our ambition is to positively impact the health of 2.5 billion people over the next decade. We are building a future where state of the art software, AI, and machine learning enable us to discover new therapies and personalized medicines that drive better outcomes for patients at reduced cost and with fewer side effects. The Applied AI team sits at the intersection of business need and technical capability within the AI/ML department. We directly support business units with AI/ML related challenges, acting as ambassadors for responsible AI across the organization. This role is your opportunity to work at the frontier of applied machine learning in one of the world's leading biopharma companies, translating cutting edge AI research into real scientific and business impact. About the Role As a Senior Applied AI Engineer, you will be embedded within cross functional teams to deliver practical, high impact AI/ML solutions aligned with GSK's R&D and business priorities. You will partner closely with scientists, product teams, and domain experts to design, build, and deploy machine learning models and AI powered tools that accelerate drug discovery, improve decision making, and enable responsible use of AI across the enterprise. This role is hands on and consultative in equal measure. You will evaluate use case feasibility, prototype solutions rapidly, architect model integrations, and transfer knowledge so that partner teams can operate independently. You will also contribute to the development of reusable patterns, baseline models, and tested pipelines for common AI/ML tasks within GSK's approved. Key Responsibilities Advisory & Solution Design Provide tailored guidance to business units on AI/ML use cases, feasibility, model selection, and deployment options, particularly in scientific domains without active AI/ML engineering efforts. Co design prototypes and proof of concepts (PoCs) with product and domain teams to validate ideas quickly and de risk larger investments. Translate complex stakeholder requirements into well scoped technical solutions with clear success criteria and handover plans. Model Development & Deployment Build, train, evaluate, and iterate on ML models for real world scientific and business problems-including but not limited to NLP/LLM applications, knowledge graphs, causal inference, computer vision, and predictive modeling. Package trained models into production ready services (APIs, containerized deployments) using GSK's cloud infrastructure (GCP/AWS/Azure). Develop and maintain agentic AI systems, multi agent architectures, and LLM based tools where appropriate. Share reusable patterns, baseline models, and tested pipelines for common AI/ML tasks. Embed privacy, ethics, and regulatory considerations into every engagement from the outset. Knowledge Transfer & Enablement Run workshops, seminars, and hands on training sessions to increase AI literacy across the organization. Embed within business/research units for time limited engagements (typically 6 8 weeks) to accelerate delivery and transfer skills. Communicate relevant issues, requests, and opportunities from business units back to AI/ML product leads. Basic Qualifications Bachelor's degree in Computer Science, Machine Learning, Computational Biology, Bioinformatics, Statistics, Engineering, or a related quantitative discipline; OR equivalent professional experience as a software/ML engineer. 3+ years of professional experience developing and deploying machine learning models (with a Bachelor's); 2+ years with a Master's or PhD. Expertise in Python, including ML/Data Science libraries (PyTorch, TensorFlow, JAX, scikit learn, pandas, numpy). Experience with cloud platforms (GCP, AWS, or Azure) and containerization (Docker, Kubernetes). Strong understanding of ML fundamentals: supervised/unsupervised learning, deep learning, model evaluation, feature engineering, and experiment tracking. Experience working in cross functional teams and communicating technical concepts to non technical stakeholders. Experience working in healthcare, pharma, or biological domains. Preferred Qualifications Experience in pharma, biotech, or life sciences-particularly in drug discovery, genomics, clinical data, or biological data analysis. Hands on experience building LLM based applications, agentic AI systems, RAG pipelines, or multi agent architectures (e.g., LangChain, LangGraph, AutoGen). Experience with knowledge graph construction, causal inference, or large perturbation models. Familiarity with single cell RNA seq, spatial transcriptomics, CRISPR assay data, or other high dimensional biological datasets. Experience with MLOps practices: CI/CD for ML, model monitoring, experiment tracking (MLflow, Weights & Biases), and reproducible research workflows. Contributions to open source ML/AI projects or peer reviewed publications in applied ML. Background or demonstrated interest in responsible AI, AI ethics, or model governance. Strong software engineering practices: version control (Git/GitHub), code review, testing, and documentation. Experience evaluating and integrating third party AI/ML vendor tools and platforms. Salary & Benefits If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $160,050 to $266,750. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process. Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. GSK is committed to creating an environment where our people can thrive and focus on what matters most. Equal Opportunity Employer GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important Notice to Employment Businesses/Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. In the absence of such written authorization, any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. GSK strives to accommodate applicants with disabilities and provide equal access. If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at . GSK may be required to capture and report expenses incurred on your behalf in the event you are afforded an interview for employment. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at
Are you a digital archivist, metadata specialist, librarian, or knowledge manager looking to make a real-world impact? At Climate Policy Radar, we're building a system that organises, connects, and makes global climate policy information discoverable and usable at scale. This isn't a traditional library role - it's about applying your skills in taxonomy, metadata, and information organisation to a dynamic, data-driven environment. About us Climate Policy Radar is an independent non-profit building open, credible databases and AI-powered tools for climate, nature, and development action. Our data and tools help governments, researchers, international organisations, civil society, and the private sector to understand and advance effective climate policies and deploy climate finance. Harnessing data science and AI - including pioneering applications of natural language processing in this field - we make previously unstructured, siloed data easier to find, understand, and act on. We are a team of policy experts, engineers, data scientists, product thinkers, communicators, and operators. We care deeply about how we work - our values, culture, and ways of collaborating - as well as what we build. As part of that, we have embraced a flexible, hybrid approach to work, including a four-day workweek. About the role Climate Policy Radar aggregates document collections of laws and policies, litigation cases, submissions to UN multilateral environmental agreements, and other core document sets from expert data providers like UN agencies, research institutes, and multilateral organisations - to make them queryable and usable for a range of global users from parliamentarians to researchers to litigators. We currently work with approximately fifteen data providers and plan to triple that number over the next two years as we grow into new domains (e.g. nature, development) and types of evidence (e.g. subnational laws and policies, international bilateral agreements). We are looking for an experienced individual to own how external document collections are structured, integrated and maintained with CPR's systems as we scale. This is a core strategic role within the Programmes team, working cross-functionally across the organisation. At its heart, the role sits at the intersection of document collection curation, organisation, and aggregation. You will define and govern CPR's document ingestion processes and metadata schema requirements, working closely with Product and Engineering on implementation, and with subject matter experts and Partnerships and Operations on provider onboarding and relationship management. You will ensure that document collections are integrated into CPR's systems in a way that is structured, consistent, scalable, and usable for search and analysis. What You'll Do: Lead the aggregation of external document collections into CPR's systems, ensuring they are structured, consistent and usable. Define, apply and maintain metadata standards, schema requirements, taxonomies, and controlled vocabularies, translating organisational and product needs into clear requirements for Engineering implementation. Evaluate and onboard new sources and datasets. Work alongside the partnerships team to support highly-respected external document collection curators to add documents datasets of laws, policies, litigation cases, climate finance projects, UN submissions and reports to our database. Anticipate and manage schema evolution as external providers update or expand their data (for example, adding new fields or changing formats), ensuring CPR systems adapt smoothly. Create and carry out data quality processes, including identifying duplication, improving metadata completeness, and maintaining consistency across collections. Ensure that content gaps raised by user feedback or analysis feed back into collection priorities and schema development. Document processes and standards so workflows are repeatable and scalable. Track and communicate the impact of data ingestion efforts, including metrics on database coverage, data quality and update frequency. What You'll Bring: At least 10 years of professional experience, with at least 5 years of experience managing large or complex digital document collections. Strong experience designing and governing metadata schemas, controlled vocabularies, and taxonomy development with the ability to make informed decisions about data governance, structure, content quality standards, consistency and evolution over time. Demonstrated proficiency in structuring and maintaining aggregated datasets from multiple external sources, ensuring clarity, interoperability, and scalability. Experience evaluating external datasets for structure, completeness and long-term maintainability (you will be supported by domain experts). A track record of improving processes - designing workflows that are reproducible, well-documented, and resilient to change. Strong communication and stakeholder management skills, comfortable engaging with technical and non-technical audiences and appetite to work cross-functionally. Ideally, some line-management experience (though extensive team management experience is not required). We are a mission driven organisation, and work best with people who have strong alignment with our values. We care about them deeply. We actively encourage applicants from diverse and historically underrepresented backgrounds. Interview process Our interview process has a couple of stages, and we try to keep them as swift as possible. If you have a disability or special need that requires accommodation during the process of application and selection, please let us know. 15 minute screening with Head of People, where, how much + vibe check 30 minute task - this is a stage to test competency. We will need help to design and assess the task 30 minutes - review task with tech (maybe product) team and programme team (assess competency). One-hour interview with the Chief Programmes Officer and a member of the programme team (behavioural/ fit) We've all felt the anxiety of waiting to hear back from interviews, so we will contact you no later than 2 working days after each interview to let you know if you will be progressing. Salary and benefits: Salary between £60,000 to £75,000 depending on experience A deep commitment to employee wellbeing, including policies such as four-day workweek (same pay, Fridays off), generous leave, and a wellbeing allowance A vibrant, collaborative, empathetic work culture that thrives on innovation and the impact of our work A hybrid work model that encourages collaboration while providing flexibility. For team members in London, this means two days a week in the office Right to Work in the UK Unfortunately, we are currently unable to sponsor work visas. Only applicants legally authorised to work in the UK will be considered. Equal opportunities At Climate Policy Radar, We are committed to fostering a workplace that is inclusive and equitable. Climate Policy Radar welcomes applicants from all backgrounds and does not tolerate discrimination in any aspect of employment. We actively work to ensure equal opportunities for all, regardless of heritage, ancestry, national origin, citizenship, religion, sex, sexual orientation, gender identity, age, disability, relationship choices, or criminal history, in line with legal requirements. We also consider qualified applicants regardless of criminal histories, in line with legal requirements. If you have a disability or special need that requires accommodation in the process of application and selection, please let us know.
Apr 03, 2026
Full time
Are you a digital archivist, metadata specialist, librarian, or knowledge manager looking to make a real-world impact? At Climate Policy Radar, we're building a system that organises, connects, and makes global climate policy information discoverable and usable at scale. This isn't a traditional library role - it's about applying your skills in taxonomy, metadata, and information organisation to a dynamic, data-driven environment. About us Climate Policy Radar is an independent non-profit building open, credible databases and AI-powered tools for climate, nature, and development action. Our data and tools help governments, researchers, international organisations, civil society, and the private sector to understand and advance effective climate policies and deploy climate finance. Harnessing data science and AI - including pioneering applications of natural language processing in this field - we make previously unstructured, siloed data easier to find, understand, and act on. We are a team of policy experts, engineers, data scientists, product thinkers, communicators, and operators. We care deeply about how we work - our values, culture, and ways of collaborating - as well as what we build. As part of that, we have embraced a flexible, hybrid approach to work, including a four-day workweek. About the role Climate Policy Radar aggregates document collections of laws and policies, litigation cases, submissions to UN multilateral environmental agreements, and other core document sets from expert data providers like UN agencies, research institutes, and multilateral organisations - to make them queryable and usable for a range of global users from parliamentarians to researchers to litigators. We currently work with approximately fifteen data providers and plan to triple that number over the next two years as we grow into new domains (e.g. nature, development) and types of evidence (e.g. subnational laws and policies, international bilateral agreements). We are looking for an experienced individual to own how external document collections are structured, integrated and maintained with CPR's systems as we scale. This is a core strategic role within the Programmes team, working cross-functionally across the organisation. At its heart, the role sits at the intersection of document collection curation, organisation, and aggregation. You will define and govern CPR's document ingestion processes and metadata schema requirements, working closely with Product and Engineering on implementation, and with subject matter experts and Partnerships and Operations on provider onboarding and relationship management. You will ensure that document collections are integrated into CPR's systems in a way that is structured, consistent, scalable, and usable for search and analysis. What You'll Do: Lead the aggregation of external document collections into CPR's systems, ensuring they are structured, consistent and usable. Define, apply and maintain metadata standards, schema requirements, taxonomies, and controlled vocabularies, translating organisational and product needs into clear requirements for Engineering implementation. Evaluate and onboard new sources and datasets. Work alongside the partnerships team to support highly-respected external document collection curators to add documents datasets of laws, policies, litigation cases, climate finance projects, UN submissions and reports to our database. Anticipate and manage schema evolution as external providers update or expand their data (for example, adding new fields or changing formats), ensuring CPR systems adapt smoothly. Create and carry out data quality processes, including identifying duplication, improving metadata completeness, and maintaining consistency across collections. Ensure that content gaps raised by user feedback or analysis feed back into collection priorities and schema development. Document processes and standards so workflows are repeatable and scalable. Track and communicate the impact of data ingestion efforts, including metrics on database coverage, data quality and update frequency. What You'll Bring: At least 10 years of professional experience, with at least 5 years of experience managing large or complex digital document collections. Strong experience designing and governing metadata schemas, controlled vocabularies, and taxonomy development with the ability to make informed decisions about data governance, structure, content quality standards, consistency and evolution over time. Demonstrated proficiency in structuring and maintaining aggregated datasets from multiple external sources, ensuring clarity, interoperability, and scalability. Experience evaluating external datasets for structure, completeness and long-term maintainability (you will be supported by domain experts). A track record of improving processes - designing workflows that are reproducible, well-documented, and resilient to change. Strong communication and stakeholder management skills, comfortable engaging with technical and non-technical audiences and appetite to work cross-functionally. Ideally, some line-management experience (though extensive team management experience is not required). We are a mission driven organisation, and work best with people who have strong alignment with our values. We care about them deeply. We actively encourage applicants from diverse and historically underrepresented backgrounds. Interview process Our interview process has a couple of stages, and we try to keep them as swift as possible. If you have a disability or special need that requires accommodation during the process of application and selection, please let us know. 15 minute screening with Head of People, where, how much + vibe check 30 minute task - this is a stage to test competency. We will need help to design and assess the task 30 minutes - review task with tech (maybe product) team and programme team (assess competency). One-hour interview with the Chief Programmes Officer and a member of the programme team (behavioural/ fit) We've all felt the anxiety of waiting to hear back from interviews, so we will contact you no later than 2 working days after each interview to let you know if you will be progressing. Salary and benefits: Salary between £60,000 to £75,000 depending on experience A deep commitment to employee wellbeing, including policies such as four-day workweek (same pay, Fridays off), generous leave, and a wellbeing allowance A vibrant, collaborative, empathetic work culture that thrives on innovation and the impact of our work A hybrid work model that encourages collaboration while providing flexibility. For team members in London, this means two days a week in the office Right to Work in the UK Unfortunately, we are currently unable to sponsor work visas. Only applicants legally authorised to work in the UK will be considered. Equal opportunities At Climate Policy Radar, We are committed to fostering a workplace that is inclusive and equitable. Climate Policy Radar welcomes applicants from all backgrounds and does not tolerate discrimination in any aspect of employment. We actively work to ensure equal opportunities for all, regardless of heritage, ancestry, national origin, citizenship, religion, sex, sexual orientation, gender identity, age, disability, relationship choices, or criminal history, in line with legal requirements. We also consider qualified applicants regardless of criminal histories, in line with legal requirements. If you have a disability or special need that requires accommodation in the process of application and selection, please let us know.
AVEVA is creating software trusted by over 90% of leading industrial companies. Flexible benefits fund, emergency leave days, adoption leave, 28 days annual leave (plus bank holidays), pension, life cover, private medical insurance, parental leave, education assistance program.It's possible we're hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive.Find out more: Hybrid working By default, employees are expected to be in their local AVEVA office three days a week, but some positions are fully office-based. Roles supporting particular customers or markets are sometimes remote. Hiring process Find out more: About AVEVA AVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life - such as energy, infrastructure, chemicals, and minerals - safely, efficiently, and more sustainably.We are committed to embedding sustainability and inclusion into our operations, our culture, and our core business strategy. Learn more about how we are progressing against our ambitious 2030 targets: out more: requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third-party personal data may involve additional background check criteria.AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case-by-case basis. Job Title: Senior AI Research Engineer Location: Cambridge, London, UK (Hybrid) Employment Type: Full-time, permanent The job We are seeking a Senior AI Research Engineer to join our AI Investigation and Incubation team. This is a hands-on engineering role, focused on building, prototyping, validating, and operationalising emerging AI technologies for real-world industrial intelligence use cases.This role is not a pure academic research position. We are specifically looking for engineers who enjoy turning AI research into working systems, making architectural trade-offs, and proving feasibility through code, experiments, and deployable prototypes.The ideal candidate is an ML Research Engineer or Senior Data Scientist with strong practical instincts who thrives at the intersection of experimentation and production. Key Responsibilities Research and evaluate emerging AI technologies with a clear focus on practical applicability and deployability Design, build, and iterate on working prototypes and proof-of-concepts, rather than theoretical experiments Develop, fine-tune, evaluate, and benchmark AI/ML models using real-world datasets Assess AI approaches for scalability, reliability, cost, security, and operational feasibility Make and document engineering and architectural decisions related to model deployment and integration Collaborate closely with software engineers, architects, and platform teams to ensure AI solutions can transition into pilots and downstream products Clearly document findings and present actionable recommendations, not academic papers, to technical and business stakeholders Support early-stage pilots and proof-of-value initiatives where AI solutions are exercised in realistic environments Essential Requirements Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field 8+ years experience in applied AI/ML engineering, data science, or ML research with production exposure 3+ years of hands-on experience building, training, evaluating, and deploying ML models Strong proficiency in Python and modern ML frameworks (e.g. PyTorch, TensorFlow, HuggingFace) Solid understanding of AI/ML deployment patterns, including: + Batch and real-time inference + Model APIs and pipelines + Integration into distributed systems Practical experience with modern AI paradigms, such as: + Foundation models / LLMs + Agent-based systems and orchestration + Context retrieval and augmentation techniques Demonstrated ability to lead technical investigations and drive them to concrete outcomes Ability to connect AI capabilities to practical industrial or enterprise use cases Desirable Experience Experience deploying ML models in cloud environments (Azure preferred, AWS acceptable) Familiarity with MLOps practices (model versioning, evaluation, monitoring, iteration) Experience working with non-ideal, real-world data rather than curated research datasets Exposure to industrial, IoT, manufacturing, energy, or asset-intensive domains What Success Looks Like AI ideas progress beyond research into validated, working prototypes Technical investigations result in clear go / no-go recommendations Prototypes demonstrate feasibility for real-world deployment, not just benchmark performance Strong collaboration with engineering teams to enable transition into pilots or platforms Tangible influence on AI roadmap and technology direction through evidence-backed engineering work R&D at AVEVA Our global team of 2000+ developers work on an incredibly diverse portfolio of over 75 industrial automation and engineering products, which cover everything from data management to 3D design. AI and cloud are at the centre of our strategy, and we have over 150 patents to our name.Our track record of innovation is no fluke - it's the result of a structured and deliberate focus on learning, collaboration and inclusivity. If you want to build applications that solve big problems, join us.Find out more: UK Benefits include:
Apr 03, 2026
Full time
AVEVA is creating software trusted by over 90% of leading industrial companies. Flexible benefits fund, emergency leave days, adoption leave, 28 days annual leave (plus bank holidays), pension, life cover, private medical insurance, parental leave, education assistance program.It's possible we're hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive.Find out more: Hybrid working By default, employees are expected to be in their local AVEVA office three days a week, but some positions are fully office-based. Roles supporting particular customers or markets are sometimes remote. Hiring process Find out more: About AVEVA AVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life - such as energy, infrastructure, chemicals, and minerals - safely, efficiently, and more sustainably.We are committed to embedding sustainability and inclusion into our operations, our culture, and our core business strategy. Learn more about how we are progressing against our ambitious 2030 targets: out more: requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third-party personal data may involve additional background check criteria.AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case-by-case basis. Job Title: Senior AI Research Engineer Location: Cambridge, London, UK (Hybrid) Employment Type: Full-time, permanent The job We are seeking a Senior AI Research Engineer to join our AI Investigation and Incubation team. This is a hands-on engineering role, focused on building, prototyping, validating, and operationalising emerging AI technologies for real-world industrial intelligence use cases.This role is not a pure academic research position. We are specifically looking for engineers who enjoy turning AI research into working systems, making architectural trade-offs, and proving feasibility through code, experiments, and deployable prototypes.The ideal candidate is an ML Research Engineer or Senior Data Scientist with strong practical instincts who thrives at the intersection of experimentation and production. Key Responsibilities Research and evaluate emerging AI technologies with a clear focus on practical applicability and deployability Design, build, and iterate on working prototypes and proof-of-concepts, rather than theoretical experiments Develop, fine-tune, evaluate, and benchmark AI/ML models using real-world datasets Assess AI approaches for scalability, reliability, cost, security, and operational feasibility Make and document engineering and architectural decisions related to model deployment and integration Collaborate closely with software engineers, architects, and platform teams to ensure AI solutions can transition into pilots and downstream products Clearly document findings and present actionable recommendations, not academic papers, to technical and business stakeholders Support early-stage pilots and proof-of-value initiatives where AI solutions are exercised in realistic environments Essential Requirements Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field 8+ years experience in applied AI/ML engineering, data science, or ML research with production exposure 3+ years of hands-on experience building, training, evaluating, and deploying ML models Strong proficiency in Python and modern ML frameworks (e.g. PyTorch, TensorFlow, HuggingFace) Solid understanding of AI/ML deployment patterns, including: + Batch and real-time inference + Model APIs and pipelines + Integration into distributed systems Practical experience with modern AI paradigms, such as: + Foundation models / LLMs + Agent-based systems and orchestration + Context retrieval and augmentation techniques Demonstrated ability to lead technical investigations and drive them to concrete outcomes Ability to connect AI capabilities to practical industrial or enterprise use cases Desirable Experience Experience deploying ML models in cloud environments (Azure preferred, AWS acceptable) Familiarity with MLOps practices (model versioning, evaluation, monitoring, iteration) Experience working with non-ideal, real-world data rather than curated research datasets Exposure to industrial, IoT, manufacturing, energy, or asset-intensive domains What Success Looks Like AI ideas progress beyond research into validated, working prototypes Technical investigations result in clear go / no-go recommendations Prototypes demonstrate feasibility for real-world deployment, not just benchmark performance Strong collaboration with engineering teams to enable transition into pilots or platforms Tangible influence on AI roadmap and technology direction through evidence-backed engineering work R&D at AVEVA Our global team of 2000+ developers work on an incredibly diverse portfolio of over 75 industrial automation and engineering products, which cover everything from data management to 3D design. AI and cloud are at the centre of our strategy, and we have over 150 patents to our name.Our track record of innovation is no fluke - it's the result of a structured and deliberate focus on learning, collaboration and inclusivity. If you want to build applications that solve big problems, join us.Find out more: UK Benefits include:
Overview Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen. Relay's Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. The Team 90 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first-principles thinking, tight feedback loops and relentless experimentation Work Alongside Industry Leaders Diego Protas - Director of Engineering Diego, an expert in distributed systems and hardware architecture, merging physical computing with enterprise-scale infrastructure. Previously directing teams of 170+ engineers at Mercado Libre and orchestrating large-scale ML-based inference at Meta. At Relay, Diego's infectious enthusiasm and hands-on leadership are redefining the boundaries of speed and reliability. Tech Stack Highlights Python, Rust and TypeScript - we keep things simple but use the right tool for the job Cross-platform Flutter apps with a deep focus on user experience Cloud-native on GCP with extensive use of BigQuery and Cloud Run Extensive use of ML modelling and LLM inference - no gimmicks here, this is our daily routine Emerging tech integrations, including robotics and IoT-powered operations The Opportunity As a Software Engineer at Relay, you'll: Own challenging, impactful problems end-to-end, from routing algorithms to real-time optimisation services and intuitive operational tools. Collaborate closely with top engineers, data scientists, and product leaders in a highly autonomous and impact-driven environment. Regularly ship production-quality code weekly-and often daily-seeing your work directly impact Relay's growth. Create incredible product experiences powering the fastest-growing e-commerce platforms, including Vinted, TikTok, and Temu, impacting millions of users worldwide. Fast and Focused Hiring Process Talent Acquisition Interview - 30 min API Integration Interview - 1 hour Technical Interview - 2 hours Operating Principles & Impact - 1 hour Decision and offer within 48 hours; our process mirrors our pace of work, typically completed in a week. Compensation, Benefits & Workplace Generous equity, richer than 99% of European startups, with annual top-ups to share Relay's success. Private health & dental coverage, so comprehensive you'd need to be a partner at a Magic Circle law firm to match it. 25 days of holidays Enhanced parental leave Located in Shoreditch, our office set-up enables the kind of in-person interactions that drive impact. We work 4 days on-site, with 1 day remote. Hardware of your choice Extensive perks (gym subsidies, cycle-to-work, Friday office lunch, covered Uber home and dinner for late nights, and more). Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win-win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
Apr 03, 2026
Full time
Overview Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen. Relay's Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. The Team 90 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first-principles thinking, tight feedback loops and relentless experimentation Work Alongside Industry Leaders Diego Protas - Director of Engineering Diego, an expert in distributed systems and hardware architecture, merging physical computing with enterprise-scale infrastructure. Previously directing teams of 170+ engineers at Mercado Libre and orchestrating large-scale ML-based inference at Meta. At Relay, Diego's infectious enthusiasm and hands-on leadership are redefining the boundaries of speed and reliability. Tech Stack Highlights Python, Rust and TypeScript - we keep things simple but use the right tool for the job Cross-platform Flutter apps with a deep focus on user experience Cloud-native on GCP with extensive use of BigQuery and Cloud Run Extensive use of ML modelling and LLM inference - no gimmicks here, this is our daily routine Emerging tech integrations, including robotics and IoT-powered operations The Opportunity As a Software Engineer at Relay, you'll: Own challenging, impactful problems end-to-end, from routing algorithms to real-time optimisation services and intuitive operational tools. Collaborate closely with top engineers, data scientists, and product leaders in a highly autonomous and impact-driven environment. Regularly ship production-quality code weekly-and often daily-seeing your work directly impact Relay's growth. Create incredible product experiences powering the fastest-growing e-commerce platforms, including Vinted, TikTok, and Temu, impacting millions of users worldwide. Fast and Focused Hiring Process Talent Acquisition Interview - 30 min API Integration Interview - 1 hour Technical Interview - 2 hours Operating Principles & Impact - 1 hour Decision and offer within 48 hours; our process mirrors our pace of work, typically completed in a week. Compensation, Benefits & Workplace Generous equity, richer than 99% of European startups, with annual top-ups to share Relay's success. Private health & dental coverage, so comprehensive you'd need to be a partner at a Magic Circle law firm to match it. 25 days of holidays Enhanced parental leave Located in Shoreditch, our office set-up enables the kind of in-person interactions that drive impact. We work 4 days on-site, with 1 day remote. Hardware of your choice Extensive perks (gym subsidies, cycle-to-work, Friday office lunch, covered Uber home and dinner for late nights, and more). Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win-win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
Overview Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen. Relay's Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. The Team 90 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first-principles thinking, tight feedback loops and relentless experimentation Work Alongside Industry Leaders Diego Protas - Director of Engineering Diego, an expert in distributed systems and hardware architecture, merging physical computing with enterprise-scale infrastructure. Previously directing teams of 170+ engineers at Mercado Libre and orchestrating large-scale ML-based inference at Meta. At Relay, Diego's infectious enthusiasm and hands-on leadership are redefining the boundaries of speed and reliability. Tech Stack Highlights Python, Rust and TypeScript - we keep things simple but use the right tool for the job Cross-platform Flutter apps with a deep focus on user experience Cloud-native on GCP with extensive use of BigQuery and Cloud Run Extensive use of ML modelling and LLM inference - no gimmicks here, this is our daily routine Emerging tech integrations, including robotics and IoT-powered operations The Opportunity As a Software Engineer at Relay, you'll: Own challenging, impactful problems end-to-end, from routing algorithms to real-time optimisation services and intuitive operational tools. Collaborate closely with top engineers, data scientists, and product leaders in a highly autonomous and impact-driven environment. Regularly ship production-quality code weekly-and often daily-seeing your work directly impact Relay's growth. Create incredible product experiences powering the fastest-growing e-commerce platforms, including Vinted, TikTok, and Temu, impacting millions of users worldwide. Fast and Focused Hiring Process Talent Acquisition Interview - 30 min API Integration Interview - 1 hour Technical Interview - 2 hours Operating Principles & Impact - 1 hour Decision and offer within 48 hours; our process mirrors our pace of work, typically completed in a week. Compensation, Benefits & Workplace Generous equity, richer than 99% of European startups, with annual top-ups to share Relay's success. Private health & dental coverage, so comprehensive you'd need to be a partner at a Magic Circle law firm to match it. 25 days of holidays Enhanced parental leave Located in Shoreditch, our office set-up enables the kind of in-person interactions that drive impact. We work 4 days on-site, with 1 day remote. Hardware of your choice Extensive perks (gym subsidies, cycle-to-work, Friday office lunch, covered Uber home and dinner for late nights, and more). Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win-win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
Apr 03, 2026
Full time
Overview Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen. Relay's Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. The Team 90 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first-principles thinking, tight feedback loops and relentless experimentation Work Alongside Industry Leaders Diego Protas - Director of Engineering Diego, an expert in distributed systems and hardware architecture, merging physical computing with enterprise-scale infrastructure. Previously directing teams of 170+ engineers at Mercado Libre and orchestrating large-scale ML-based inference at Meta. At Relay, Diego's infectious enthusiasm and hands-on leadership are redefining the boundaries of speed and reliability. Tech Stack Highlights Python, Rust and TypeScript - we keep things simple but use the right tool for the job Cross-platform Flutter apps with a deep focus on user experience Cloud-native on GCP with extensive use of BigQuery and Cloud Run Extensive use of ML modelling and LLM inference - no gimmicks here, this is our daily routine Emerging tech integrations, including robotics and IoT-powered operations The Opportunity As a Software Engineer at Relay, you'll: Own challenging, impactful problems end-to-end, from routing algorithms to real-time optimisation services and intuitive operational tools. Collaborate closely with top engineers, data scientists, and product leaders in a highly autonomous and impact-driven environment. Regularly ship production-quality code weekly-and often daily-seeing your work directly impact Relay's growth. Create incredible product experiences powering the fastest-growing e-commerce platforms, including Vinted, TikTok, and Temu, impacting millions of users worldwide. Fast and Focused Hiring Process Talent Acquisition Interview - 30 min API Integration Interview - 1 hour Technical Interview - 2 hours Operating Principles & Impact - 1 hour Decision and offer within 48 hours; our process mirrors our pace of work, typically completed in a week. Compensation, Benefits & Workplace Generous equity, richer than 99% of European startups, with annual top-ups to share Relay's success. Private health & dental coverage, so comprehensive you'd need to be a partner at a Magic Circle law firm to match it. 25 days of holidays Enhanced parental leave Located in Shoreditch, our office set-up enables the kind of in-person interactions that drive impact. We work 4 days on-site, with 1 day remote. Hardware of your choice Extensive perks (gym subsidies, cycle-to-work, Friday office lunch, covered Uber home and dinner for late nights, and more). Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win-win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
A global quantum technology company in the United Kingdom is seeking a Senior Research Software Engineer to develop robust software for quantum control systems. The ideal candidate has a Bachelor's degree in a relevant field and at least 5 years of experience, alongside skills in Python and Linux. This role involves collaboration with scientists and engineers and offers remote working flexibility, competitive salary, and a generous benefits package including pension contributions and unlimited PTO.
Apr 02, 2026
Full time
A global quantum technology company in the United Kingdom is seeking a Senior Research Software Engineer to develop robust software for quantum control systems. The ideal candidate has a Bachelor's degree in a relevant field and at least 5 years of experience, alongside skills in Python and Linux. This role involves collaboration with scientists and engineers and offers remote working flexibility, competitive salary, and a generous benefits package including pension contributions and unlimited PTO.
Graduate Sales Development Representative Hoxton Square, London £30k base salary + Genuine uncapped £60k OTE Private Health/Dental Care + Generous Stock Options + Smart Pension + Cycle to Work scheme Are you a highly ambitious, competitive and money hungry young graduate wanting to launch a career in technology sales with one of the fastest growing and innovative AI companies in Europe? Our client is a cutting-edge AI start-up backed by Tier 1 investors and industry leaders from DeepMind, OpenAI, and Datadog. They're transforming how inventors, scientists, and R&D teams manage intellectual property (IP) - using AI-driven tools that accelerate patent searches, filings, and innovation analysis. This is a unique opportunity to join a high-growth company at the intersection of AI, IP, and innovation, helping the world's most forward-thinking organisations - from Fortune 500 companies to global patent leaders - protect and develop their ideas faster. What You'll Do Identify and engage potential customers across cutting-edge tech and innovation sectors Research and target IP and R&D professionals, driving creative outreach via email, linkedin, and calls Qualify new business opportunities and set up high-quality meetings for the sales team Experiment with messaging, contribute to the sales strategy, and help shape go-to-market plans Collaborate directly with a world-class founding team from Palantir, Amazon, and BCG What We're Looking For Graduate or of graduate calibre (STEM, legal or top university background ideal) Strong interest in technology, AI, innovation, or intellectual property Ambitious, curious, and confident in communicating with senior professionals Thrives in a fast-paced, results-driven environment and enjoys taking ownership What's On Offer Competitive £30k base salary plus a genuine OTE of £60k A host of corporate benefits such as Bupa Health/Dental Care, Stock Options, Smart Pension and Cycle to Work scheme Potential opportunities for international travel - including to the US - as the company continues to grow and expand globally. Fast-track career progression and hands-on experience with cutting-edge AI tech Work with global clients shaping the future of patent and innovation management Collaborative London office (Hoxton Square) with a close-knit, high-performing team If you're hungry to learn, excited by technology, and want to help drive innovation worldwide - this is your chance to start your career with one of London's most exciting AI start-ups. Apply now to join a mission that's redefining how the world protects and powers innovation.
Apr 02, 2026
Full time
Graduate Sales Development Representative Hoxton Square, London £30k base salary + Genuine uncapped £60k OTE Private Health/Dental Care + Generous Stock Options + Smart Pension + Cycle to Work scheme Are you a highly ambitious, competitive and money hungry young graduate wanting to launch a career in technology sales with one of the fastest growing and innovative AI companies in Europe? Our client is a cutting-edge AI start-up backed by Tier 1 investors and industry leaders from DeepMind, OpenAI, and Datadog. They're transforming how inventors, scientists, and R&D teams manage intellectual property (IP) - using AI-driven tools that accelerate patent searches, filings, and innovation analysis. This is a unique opportunity to join a high-growth company at the intersection of AI, IP, and innovation, helping the world's most forward-thinking organisations - from Fortune 500 companies to global patent leaders - protect and develop their ideas faster. What You'll Do Identify and engage potential customers across cutting-edge tech and innovation sectors Research and target IP and R&D professionals, driving creative outreach via email, linkedin, and calls Qualify new business opportunities and set up high-quality meetings for the sales team Experiment with messaging, contribute to the sales strategy, and help shape go-to-market plans Collaborate directly with a world-class founding team from Palantir, Amazon, and BCG What We're Looking For Graduate or of graduate calibre (STEM, legal or top university background ideal) Strong interest in technology, AI, innovation, or intellectual property Ambitious, curious, and confident in communicating with senior professionals Thrives in a fast-paced, results-driven environment and enjoys taking ownership What's On Offer Competitive £30k base salary plus a genuine OTE of £60k A host of corporate benefits such as Bupa Health/Dental Care, Stock Options, Smart Pension and Cycle to Work scheme Potential opportunities for international travel - including to the US - as the company continues to grow and expand globally. Fast-track career progression and hands-on experience with cutting-edge AI tech Work with global clients shaping the future of patent and innovation management Collaborative London office (Hoxton Square) with a close-knit, high-performing team If you're hungry to learn, excited by technology, and want to help drive innovation worldwide - this is your chance to start your career with one of London's most exciting AI start-ups. Apply now to join a mission that's redefining how the world protects and powers innovation.
Global R&D Director, PLM Ecosystems City: Kingston upon Hull We are Reckitt Home to the world's best loved and trusted hygiene, health, and nutrition brands. Our purpose defines why we exist: to protect, heal and nurture in the relentless pursuit of a cleaner, healthier world. We are a global team united by this purpose.Join us in our fight to make access to the highest quality hygiene, wellness, and nourishment a right and not a privilege. Research & Development In Research and Development we're full of highly skilled talents that include Scientists, Engineers, Medical, Clinical and Regulatory professionals - all working to create a cleaner, healthier world. With nine Centres of Excellence, we continually seek out new opportunities by using science, our entrepreneurial flare and our fearless innovation to develop and enhance our existing portfolio, never compromising on quality or performance. We do the right thing, always, by ensuring we act with responsibility and integrity, by complying with regulatory legislation across the globe, whilst ensuring our products are safe for our consumers and are to the highest quality. The size of our organisation means you'll have the opportunity to learn and work in different functions within Research and Development, giving you exposure to different disciplines, teams and environments. You will also have access to our Research and Development Academy, designed to develop our team and allow you to grow in our great organisation. About the role This role provides the business leadership for Reckitt's largest-ever digital transformation: the execution of a next generation Product Lifecycle Management (PLM) and connected compliance ecosystem. You will take a well defined strategic blueprint and turn it into an operational reality - leveraging enterprise platforms, data, process design, organisational change and governance to deliver immediate value while building long term capability. At its core, this transformation connects specifications, data and workflows across functions and geographies, enabled by multiple product centric applications. You will own the strategy and lead the enterprise-wide programme that strengthens consumer safety and compliance, with specification management as the foundation for broader value creation in simplification, portfolio optimisation and product stewardship. This includes direct leadership of global PLM platforms across the end to product lifecycle, and deep collaboration with R&D, Supply, Quality, Regulatory and Data Governance to align systems, data flows and processes. You will represent the business in key governance forums, partnerships and cross functional initiatives - ensuring that Reckitt's PLM and compliance ecosystem becomes a connected, scalable and future ready capability. Your responsibilities Lead the execution and operationalisation of Reckitt's global PLM transformation, delivering against plan and driving enterprise wide adoption. Own the transition from legacy processes to new, standardised ways of working, leading both states until the transformation is fully embedded. Deliver the long term strategy for a connected compliance ecosystem in partnership with IT&D and senior leaders across R&D, Supply, Quality and Regulatory. Build alignment and engagement across global functions through strong stakeholder management and effective governance forums. Partner with IT&D to shape technology roadmaps and business transformation plans that enable the PLM and compliance strategy. Collaborate with Data Governance & Analytics to embed robust data standards, ownership models and lifecycle management across functions. Apply PLM best practice to system design, process architecture and integration across core PLM and the wider connected ecosystem. Drive continuous improvement through innovation, benchmarking and data driven insights, ensuring compliance and consumer safety remain central. Establish clear prioritisation mechanisms with Global Functions and IT&D to focus resources on the highest value initiatives. Own the team budget and contribute to broader functional budget planning, investment decisions and delivery accountability. Lead and develop a global team of 30 functional experts, building capability and driving adoption of new ways of working. Simplify, standardise and connect processes and data flows across the compliance ecosystem and key business operations. The experience we're looking for Deep expertise in Product Lifecycle Management (PLM) technologies and their deployment within large, complex consumer goods, healthcare, or manufacturing organisations. Proven ability to design and execute PLM transformation strategies, moving from concept to full enterprise adoption. Demonstrated track record delivering end to end PLM transformations across innovation, R&D, manufacturing, quality, regulatory and distribution. Strong knowledge of regulatory, quality and compliance requirements within Healthcare and CPG environments. Clear understanding of risk profiles, consumer safety requirements and compliance obligations across the product lifecycle. Broad appreciation of R&D and Manufacturing interdependencies, and how data, specifications and processes must connect to ensure safe, compliant products. Deep experience with data standards, governance frameworks and cross functional data flows in large enterprises. Ability to navigate and simplify complex technical ecosystems, identifying opportunities for long term connection, leverage and simplification. Broad operational understanding of core R&D and Supply functions and how they interact within a global product lifecycle. Advanced change leadership and influencing skills, with experience driving behavioural and process change across diverse stakeholder groups. Strong programme management capability, delivering large scale, multi year transformation programmes. Experience leading large, geographically dispersed teams, both through direct line management and influence. Strong collaborator who builds trust and alignment across cross functional teams and senior stakeholders. Demonstrated leadership grounded in integrity and "doing the right thing," especially in compliance critical environments. Inspires teams with a clear vision and brings people with them through complex change. Communicates complex, technical or politically sensitive issues with clarity and confidence to diverse audiences. Creates and sustains a culture of innovation, continuous improvement and simplification. Genuine passion for digital transformation, value creation and building capabilities that endure. Deep experience in R&D operations, ideally within pharma, healthcare or FMCG. Understanding of CSV requirements. Experience leading global systems development and implementation, ideally including platforms such as Optiva, SSPLM, Oracle or Siemens. Ability to travel as part of the role What we offer With inclusion at the heart of everything we do, working alongside our four global Employee Resource Groups, we support our people at every step of their career journey, helping them to succeed in their own individual way. We invest in the wellbeing of our people through parental benefits, an Employee Assistance Program to promote mental health, and life insurance for all employees globally. We have a range of other benefits in line with the local market. Through our global share plans we offer the opportunity to save and share in Reckitt's potential future successes. For eligible roles, we also offer short-term incentives to recognise, appreciate and reward your work for delivering outstanding results. You will be rewarded in line with Reckitt's pay for performance philosophy. Equality We recognise that in real life, great people don't always 'tick all the boxes'. That's why we hire for potential as well as experience. Even if you don't meet every point on the job description, if this role and our company feels like a good fit for you, we still want to hear from you. All qualified applicants will receive consideration for employment without regard to age, disability or medical condition; colour, ethnicity, race, citizenship and national origin; religion, faith; pregnancy, family status and caring responsibilities; sexual orientation; sex, gender identity, gender expression, and transgender identity; protected veteran status; size or any other basis protected by appropriate law.
Apr 02, 2026
Full time
Global R&D Director, PLM Ecosystems City: Kingston upon Hull We are Reckitt Home to the world's best loved and trusted hygiene, health, and nutrition brands. Our purpose defines why we exist: to protect, heal and nurture in the relentless pursuit of a cleaner, healthier world. We are a global team united by this purpose.Join us in our fight to make access to the highest quality hygiene, wellness, and nourishment a right and not a privilege. Research & Development In Research and Development we're full of highly skilled talents that include Scientists, Engineers, Medical, Clinical and Regulatory professionals - all working to create a cleaner, healthier world. With nine Centres of Excellence, we continually seek out new opportunities by using science, our entrepreneurial flare and our fearless innovation to develop and enhance our existing portfolio, never compromising on quality or performance. We do the right thing, always, by ensuring we act with responsibility and integrity, by complying with regulatory legislation across the globe, whilst ensuring our products are safe for our consumers and are to the highest quality. The size of our organisation means you'll have the opportunity to learn and work in different functions within Research and Development, giving you exposure to different disciplines, teams and environments. You will also have access to our Research and Development Academy, designed to develop our team and allow you to grow in our great organisation. About the role This role provides the business leadership for Reckitt's largest-ever digital transformation: the execution of a next generation Product Lifecycle Management (PLM) and connected compliance ecosystem. You will take a well defined strategic blueprint and turn it into an operational reality - leveraging enterprise platforms, data, process design, organisational change and governance to deliver immediate value while building long term capability. At its core, this transformation connects specifications, data and workflows across functions and geographies, enabled by multiple product centric applications. You will own the strategy and lead the enterprise-wide programme that strengthens consumer safety and compliance, with specification management as the foundation for broader value creation in simplification, portfolio optimisation and product stewardship. This includes direct leadership of global PLM platforms across the end to product lifecycle, and deep collaboration with R&D, Supply, Quality, Regulatory and Data Governance to align systems, data flows and processes. You will represent the business in key governance forums, partnerships and cross functional initiatives - ensuring that Reckitt's PLM and compliance ecosystem becomes a connected, scalable and future ready capability. Your responsibilities Lead the execution and operationalisation of Reckitt's global PLM transformation, delivering against plan and driving enterprise wide adoption. Own the transition from legacy processes to new, standardised ways of working, leading both states until the transformation is fully embedded. Deliver the long term strategy for a connected compliance ecosystem in partnership with IT&D and senior leaders across R&D, Supply, Quality and Regulatory. Build alignment and engagement across global functions through strong stakeholder management and effective governance forums. Partner with IT&D to shape technology roadmaps and business transformation plans that enable the PLM and compliance strategy. Collaborate with Data Governance & Analytics to embed robust data standards, ownership models and lifecycle management across functions. Apply PLM best practice to system design, process architecture and integration across core PLM and the wider connected ecosystem. Drive continuous improvement through innovation, benchmarking and data driven insights, ensuring compliance and consumer safety remain central. Establish clear prioritisation mechanisms with Global Functions and IT&D to focus resources on the highest value initiatives. Own the team budget and contribute to broader functional budget planning, investment decisions and delivery accountability. Lead and develop a global team of 30 functional experts, building capability and driving adoption of new ways of working. Simplify, standardise and connect processes and data flows across the compliance ecosystem and key business operations. The experience we're looking for Deep expertise in Product Lifecycle Management (PLM) technologies and their deployment within large, complex consumer goods, healthcare, or manufacturing organisations. Proven ability to design and execute PLM transformation strategies, moving from concept to full enterprise adoption. Demonstrated track record delivering end to end PLM transformations across innovation, R&D, manufacturing, quality, regulatory and distribution. Strong knowledge of regulatory, quality and compliance requirements within Healthcare and CPG environments. Clear understanding of risk profiles, consumer safety requirements and compliance obligations across the product lifecycle. Broad appreciation of R&D and Manufacturing interdependencies, and how data, specifications and processes must connect to ensure safe, compliant products. Deep experience with data standards, governance frameworks and cross functional data flows in large enterprises. Ability to navigate and simplify complex technical ecosystems, identifying opportunities for long term connection, leverage and simplification. Broad operational understanding of core R&D and Supply functions and how they interact within a global product lifecycle. Advanced change leadership and influencing skills, with experience driving behavioural and process change across diverse stakeholder groups. Strong programme management capability, delivering large scale, multi year transformation programmes. Experience leading large, geographically dispersed teams, both through direct line management and influence. Strong collaborator who builds trust and alignment across cross functional teams and senior stakeholders. Demonstrated leadership grounded in integrity and "doing the right thing," especially in compliance critical environments. Inspires teams with a clear vision and brings people with them through complex change. Communicates complex, technical or politically sensitive issues with clarity and confidence to diverse audiences. Creates and sustains a culture of innovation, continuous improvement and simplification. Genuine passion for digital transformation, value creation and building capabilities that endure. Deep experience in R&D operations, ideally within pharma, healthcare or FMCG. Understanding of CSV requirements. Experience leading global systems development and implementation, ideally including platforms such as Optiva, SSPLM, Oracle or Siemens. Ability to travel as part of the role What we offer With inclusion at the heart of everything we do, working alongside our four global Employee Resource Groups, we support our people at every step of their career journey, helping them to succeed in their own individual way. We invest in the wellbeing of our people through parental benefits, an Employee Assistance Program to promote mental health, and life insurance for all employees globally. We have a range of other benefits in line with the local market. Through our global share plans we offer the opportunity to save and share in Reckitt's potential future successes. For eligible roles, we also offer short-term incentives to recognise, appreciate and reward your work for delivering outstanding results. You will be rewarded in line with Reckitt's pay for performance philosophy. Equality We recognise that in real life, great people don't always 'tick all the boxes'. That's why we hire for potential as well as experience. Even if you don't meet every point on the job description, if this role and our company feels like a good fit for you, we still want to hear from you. All qualified applicants will receive consideration for employment without regard to age, disability or medical condition; colour, ethnicity, race, citizenship and national origin; religion, faith; pregnancy, family status and caring responsibilities; sexual orientation; sex, gender identity, gender expression, and transgender identity; protected veteran status; size or any other basis protected by appropriate law.
Summer Intern - Trainee Patent Attorney STEM Discipline: Mechanical Engineering / Electrical and Electronic Engineering Location: Bath Duration: 2 week full time internship Timing: 29th June for 2 weeks Paid Opportunity EIP is pleased to offer a two week Summer Internship for individuals interested in gaining first hand insight into the work of a patent attorney. This programme provides a valuable opportunity to explore what a career in patent law involves and to help you assess whether it's the right path for you. Interns who perform strongly during the programme may also be considered for a permanent Patent Scientist / Trainee Patent Attorney position for the following September. What To Expect As an Intern at EIP, you will: Take part in induction sessions introducing you to the firm Attend training sessions covering topics such as the basics of patent protection, the role of a patent attorney, life as a trainee, and key IP rights and laws, and then shadow your mentor and support them with tasks designed to give you a realistic insight into patent attorney work You will be assigned both a mentor (typically a patent scientist, associate, or senior associate) and a supervisor (usually a partner), each aligned with your technical background and interests. This ensures tailored guidance and meaningful exposure throughout your time with us. Who We're Looking For We welcome applications from individuals who are curious about intellectual property and enthusiastic about exploring a career in patents. Successful candidates will be currently in the penultimate year of a bachelor's degree, master's degree or PhD in Mechanical Engineering / Electrical and Electronic Engineering and demonstrate: Professional and personable approach Excellent written and verbal communication skills Confidence working with people at all levels Ability to work under pressure Strong research and presentation skills Self motivation and effective workload management Meticulous attention to detail and strong analytical ability Initiative and the ability to work independently Who We Are EIP is an award winning firm specialising in high value and complex patent matters, with offices across Europe and the US. Our multidisciplinary team brings together patent attorneys, litigators, and commercial IP lawyers across major patent markets including the UK, Europe, and the USA. We work with a diverse and growing client base-from major multinationals to innovative scale ups and cutting edge start ups-helping them protect and maximise the value of their intellectual property.
Apr 02, 2026
Full time
Summer Intern - Trainee Patent Attorney STEM Discipline: Mechanical Engineering / Electrical and Electronic Engineering Location: Bath Duration: 2 week full time internship Timing: 29th June for 2 weeks Paid Opportunity EIP is pleased to offer a two week Summer Internship for individuals interested in gaining first hand insight into the work of a patent attorney. This programme provides a valuable opportunity to explore what a career in patent law involves and to help you assess whether it's the right path for you. Interns who perform strongly during the programme may also be considered for a permanent Patent Scientist / Trainee Patent Attorney position for the following September. What To Expect As an Intern at EIP, you will: Take part in induction sessions introducing you to the firm Attend training sessions covering topics such as the basics of patent protection, the role of a patent attorney, life as a trainee, and key IP rights and laws, and then shadow your mentor and support them with tasks designed to give you a realistic insight into patent attorney work You will be assigned both a mentor (typically a patent scientist, associate, or senior associate) and a supervisor (usually a partner), each aligned with your technical background and interests. This ensures tailored guidance and meaningful exposure throughout your time with us. Who We're Looking For We welcome applications from individuals who are curious about intellectual property and enthusiastic about exploring a career in patents. Successful candidates will be currently in the penultimate year of a bachelor's degree, master's degree or PhD in Mechanical Engineering / Electrical and Electronic Engineering and demonstrate: Professional and personable approach Excellent written and verbal communication skills Confidence working with people at all levels Ability to work under pressure Strong research and presentation skills Self motivation and effective workload management Meticulous attention to detail and strong analytical ability Initiative and the ability to work independently Who We Are EIP is an award winning firm specialising in high value and complex patent matters, with offices across Europe and the US. Our multidisciplinary team brings together patent attorneys, litigators, and commercial IP lawyers across major patent markets including the UK, Europe, and the USA. We work with a diverse and growing client base-from major multinationals to innovative scale ups and cutting edge start ups-helping them protect and maximise the value of their intellectual property.
ABOUT THE COMPANY Infleqtion is a global quantum technology company solving the world's most challenging problems. The company harnesses quantum mechanics to build and integrate quantum computers, sensors, and networks. From fundamental physics to leading edge commercial products, Infleqtion enables "quantum everywhere" through our ecosystem of devices and platforms. Our mission is to commercialise atom-based quantum products that provide orders of magnitude improvements in performance and computing applications. LOCATION Infleqtion has offices in the USA, United Kingdom and Australia. This is a full-time position in our Kidlington and Harwell offices. Our flexible working policy enables all full-time employees to work up to 2 days a week from home as work permits. POSITION SUMMARY Infleqtion is seeking a Senior Research Software Engineer to architect and develop software across the full quantum control stack, enabling high-performance operation of both quantum computers and quantum sensors. This role spans low-level hardware integration, real-time control systems, waveform generation, calibration automation, experiment orchestration, and scalable data pipelines. You will work at the boundary between physics and production software, partnering with physicists and hardware engineers to translate experimental requirements into robust, deterministic, and extensible control infrastructure. The ideal candidate brings deep systems programming expertise, experience with hardware-adjacent or real-time systems, and a strong foundation in scientific or high-performance computing, with a passion for building the core software that drives next-generation quantum technologies. JOB RESPONSIBILITIES The duties and responsibilities outlined below include essential functions of the role. Depending on business needs, this role may perform a combination of some or all of the following duties. Duties, responsibilities, and activities may change, or new ones may be assigned at any time. Design, develop, and deploy reliable, maintainable, scalable, and fault-tolerant backend services and frameworks that control and calibrate our quantum hardware. Collaborate with interdisciplinary teams, including scientists, opto-mechanical engineers, and electrical engineers, to solve complex problems and deliver high-quality software solutions. Empower interdisciplinary teams to create the tools they need by teaching engineering and programming best practices. Mentor and guide junior engineers, fostering their growth and enhancing the team's technical expertise. Lead code and design reviews, upholding engineering best practices and promoting a culture of quality and collaboration. Support and debug all layers of the control stack from real-time embedded kernels to distributed and cloud-based services. Advocate for and implement innovative software development methodologies and tools to improve team efficiency and product quality. Bachelor's degree in Engineering, Applied Mathematics, Physics or related field and a minimum of 5 years prior work experience in a scientific domain. Experience with Python and at least one compiled language, with a desire to learn and work in Rust. Experience with Linux and virtualization technologies like Docker. Good verbal and written communication skills, able to effectively share information with technical and non-technical staff. Good collaboration skills, able to work in a team environment where engagement and participation are an expected part of successful job performance. Skilled in typical software engineering disciplines: testing, debugging, version control, error-handling, readability, documentation, general code health, etc. Desire to constantly improve and learn inside and outside of expertise Desirable Skills or Knowledge Domain-specific experience in statistics, machine learning, or AMO physics. Experience with Numpy, Scipy, and Pytorch. Experience with image analysis, emphasis on realtime object detection. Experience with databases (relational and non-relational) including but not limited to timeseries data, SQL, and ETL processes. Experience creating and maintaining CI/CD pipelines, and Python package creation with C or Rust extensions. Experince developing basic GUIs and/or web front-end applications. EQUAL OPPORTUNITY Regardless of your interest in the quantum industry, you can take pride in the fact that Infleqtion is building an ecosystem of quantum technologies and commercial products, driving the industry towards the future. Studies reveal that while men apply for jobs when they meet an average of 60% of the requirements, women and other groups tend to apply only when they meet all the criteria. If you believe you have the potential but don't meet every single point in our job advertisement, please don't hesitate to contact us! We would love to chat with you and see how you could bring great value to our team. Our goal is to find exceptional individuals who can enrich our team culture, actively contribute, and have a genuine passion for their work. Here you have freedom to embrace your whole self: who you love, your gender identity and expression, skin colour, age, appearance, disability, neurodiversity, DNA, military/veteran status, citizenship, and other factors that make up who you are. Your uniqueness is valued, welcomed, and appreciated here. We are dedicated to providing a positive workplace and base all employment decisions on your qualifications, performance, merits, as well as business needs. We are proud to be an Equal Employment Opportunity Employer. In addition to your base compensation, we offer a generous Total Rewards program which includes: Competitive salary Incentive Stock Option Plan Generous company 10% pension contribution regardless of employee contribution Unlimited PTO BUPA healthcare after probation period Cycle to work and Technology scheme
Apr 02, 2026
Full time
ABOUT THE COMPANY Infleqtion is a global quantum technology company solving the world's most challenging problems. The company harnesses quantum mechanics to build and integrate quantum computers, sensors, and networks. From fundamental physics to leading edge commercial products, Infleqtion enables "quantum everywhere" through our ecosystem of devices and platforms. Our mission is to commercialise atom-based quantum products that provide orders of magnitude improvements in performance and computing applications. LOCATION Infleqtion has offices in the USA, United Kingdom and Australia. This is a full-time position in our Kidlington and Harwell offices. Our flexible working policy enables all full-time employees to work up to 2 days a week from home as work permits. POSITION SUMMARY Infleqtion is seeking a Senior Research Software Engineer to architect and develop software across the full quantum control stack, enabling high-performance operation of both quantum computers and quantum sensors. This role spans low-level hardware integration, real-time control systems, waveform generation, calibration automation, experiment orchestration, and scalable data pipelines. You will work at the boundary between physics and production software, partnering with physicists and hardware engineers to translate experimental requirements into robust, deterministic, and extensible control infrastructure. The ideal candidate brings deep systems programming expertise, experience with hardware-adjacent or real-time systems, and a strong foundation in scientific or high-performance computing, with a passion for building the core software that drives next-generation quantum technologies. JOB RESPONSIBILITIES The duties and responsibilities outlined below include essential functions of the role. Depending on business needs, this role may perform a combination of some or all of the following duties. Duties, responsibilities, and activities may change, or new ones may be assigned at any time. Design, develop, and deploy reliable, maintainable, scalable, and fault-tolerant backend services and frameworks that control and calibrate our quantum hardware. Collaborate with interdisciplinary teams, including scientists, opto-mechanical engineers, and electrical engineers, to solve complex problems and deliver high-quality software solutions. Empower interdisciplinary teams to create the tools they need by teaching engineering and programming best practices. Mentor and guide junior engineers, fostering their growth and enhancing the team's technical expertise. Lead code and design reviews, upholding engineering best practices and promoting a culture of quality and collaboration. Support and debug all layers of the control stack from real-time embedded kernels to distributed and cloud-based services. Advocate for and implement innovative software development methodologies and tools to improve team efficiency and product quality. Bachelor's degree in Engineering, Applied Mathematics, Physics or related field and a minimum of 5 years prior work experience in a scientific domain. Experience with Python and at least one compiled language, with a desire to learn and work in Rust. Experience with Linux and virtualization technologies like Docker. Good verbal and written communication skills, able to effectively share information with technical and non-technical staff. Good collaboration skills, able to work in a team environment where engagement and participation are an expected part of successful job performance. Skilled in typical software engineering disciplines: testing, debugging, version control, error-handling, readability, documentation, general code health, etc. Desire to constantly improve and learn inside and outside of expertise Desirable Skills or Knowledge Domain-specific experience in statistics, machine learning, or AMO physics. Experience with Numpy, Scipy, and Pytorch. Experience with image analysis, emphasis on realtime object detection. Experience with databases (relational and non-relational) including but not limited to timeseries data, SQL, and ETL processes. Experience creating and maintaining CI/CD pipelines, and Python package creation with C or Rust extensions. Experince developing basic GUIs and/or web front-end applications. EQUAL OPPORTUNITY Regardless of your interest in the quantum industry, you can take pride in the fact that Infleqtion is building an ecosystem of quantum technologies and commercial products, driving the industry towards the future. Studies reveal that while men apply for jobs when they meet an average of 60% of the requirements, women and other groups tend to apply only when they meet all the criteria. If you believe you have the potential but don't meet every single point in our job advertisement, please don't hesitate to contact us! We would love to chat with you and see how you could bring great value to our team. Our goal is to find exceptional individuals who can enrich our team culture, actively contribute, and have a genuine passion for their work. Here you have freedom to embrace your whole self: who you love, your gender identity and expression, skin colour, age, appearance, disability, neurodiversity, DNA, military/veteran status, citizenship, and other factors that make up who you are. Your uniqueness is valued, welcomed, and appreciated here. We are dedicated to providing a positive workplace and base all employment decisions on your qualifications, performance, merits, as well as business needs. We are proud to be an Equal Employment Opportunity Employer. In addition to your base compensation, we offer a generous Total Rewards program which includes: Competitive salary Incentive Stock Option Plan Generous company 10% pension contribution regardless of employee contribution Unlimited PTO BUPA healthcare after probation period Cycle to work and Technology scheme
The Applications team within R&D supports Lubrizol through the invention and synthesis of new speciality-chemicals and technical support of existing products. We are looking for a motivated scientist to join our Applications team and work in a laboratory and use their technical expertise to evaluate new additives in composites materials by interpreting and analysing analytical and performance data. The ideal candidate will have experience working in an application laboratory evaluating new materials. This role is based at Hexagon Tower, Blackley Manchester located in a suburban setting, four miles from Manchester City Centre, UK. Salary competitive dependent upon skills and experience, plus excellent benefits. In this role you will: Be a scientist leading the evaluation of composite materials, developing your own ideas for analysis and proposing new test methods for mechanical testing experiments. Be "hands on" in the laboratory formulating new composite materials, moulding and curing coupons then undertaking physical testing. Decide how testing should proceed using logic, experience, and creativity to meet agreed timelines. Manage laboratory assets and keeping equipment serviced and calibrated, develop good relationship with suppliers to ensure best practice in instrumentation. Be part of a wider research team support the laboratory initiatives and follow safe laboratory practices Document, interpret and communicate results to colleagues and internal project sponsors. Attend industry conferences and present scientific data when relevant Travel to other countries may be important for developing regional labs. The ideal candidate will have: PhD in materials science or related discipline. BSc or equivalent in chemistry with five years experience in a materials testing laboratory Ability to apply scientific understanding to experiment planning Good communication, team working and interpersonal skills, to be successful in a multidisciplinary environment Good project management skills, with experience of managing multiple projects to deadlines Good IT skills especially a knowledge of data science tools Job Segment: Research Scientist, Materials Science, Senior Scientist, Laboratory, Chemistry, Science
Apr 01, 2026
Full time
The Applications team within R&D supports Lubrizol through the invention and synthesis of new speciality-chemicals and technical support of existing products. We are looking for a motivated scientist to join our Applications team and work in a laboratory and use their technical expertise to evaluate new additives in composites materials by interpreting and analysing analytical and performance data. The ideal candidate will have experience working in an application laboratory evaluating new materials. This role is based at Hexagon Tower, Blackley Manchester located in a suburban setting, four miles from Manchester City Centre, UK. Salary competitive dependent upon skills and experience, plus excellent benefits. In this role you will: Be a scientist leading the evaluation of composite materials, developing your own ideas for analysis and proposing new test methods for mechanical testing experiments. Be "hands on" in the laboratory formulating new composite materials, moulding and curing coupons then undertaking physical testing. Decide how testing should proceed using logic, experience, and creativity to meet agreed timelines. Manage laboratory assets and keeping equipment serviced and calibrated, develop good relationship with suppliers to ensure best practice in instrumentation. Be part of a wider research team support the laboratory initiatives and follow safe laboratory practices Document, interpret and communicate results to colleagues and internal project sponsors. Attend industry conferences and present scientific data when relevant Travel to other countries may be important for developing regional labs. The ideal candidate will have: PhD in materials science or related discipline. BSc or equivalent in chemistry with five years experience in a materials testing laboratory Ability to apply scientific understanding to experiment planning Good communication, team working and interpersonal skills, to be successful in a multidisciplinary environment Good project management skills, with experience of managing multiple projects to deadlines Good IT skills especially a knowledge of data science tools Job Segment: Research Scientist, Materials Science, Senior Scientist, Laboratory, Chemistry, Science
ABOUT THE COMPANY Infleqtion is a global quantum technology company solving the world's most challenging problems. The company harnesses quantum mechanics to build and integrate quantum computers, sensors, and networks. From fundamental physics to leading edge commercial products, Infleqtion enables "quantum everywhere" through our ecosystem of devices and platforms. Our mission is to commercialise atom-based quantum products that provide orders of magnitude improvements in performance and computing applications. LOCATION Infleqtion has offices in the USA, United Kingdom and Australia. This is a full time position in our Kidlington and Harwell offices. Our flexible working policy enables all full time employees to work up to 2 days a week from home as work permits. POSITION SUMMARY Infleqtion is seeking a Senior Cloud Backend Software Engineer to design and build scalable backend services that power both internal platform infrastructure and externally facing systems for our quantum technologies. This role focuses on developing cloud native microservice architectures, distributed APIs, and reliable backend systems that support experiment orchestration, data pipelines, device control workflows, and internal developer platforms. You will build and operate services that form the backbone of our quantum software platform, enabling scientists, engineers, and external users to interact with quantum hardware and experimentation workflows through robust, scalable infrastructure. The ideal candidate is comfortable building API driven services, asynchronous systems, and scalable data infrastructure deployed in containerised and orchestrated cloud environments. JOB RESPONSIBILITIES The duties and responsibilities outlined below include essential functions of the role. Depending on business needs, this role may perform a combination of some or all of the following duties. Duties, responsibilities, and activities may change, or new ones may be assigned at any time. Design, develop, and operate cloud native backend services and microservice architectures supporting both internal engineering platforms and externally accessible APIs. Build Python based backend systems using modern frameworks such as FastAPI and SQLAlchemy to implement scalable, maintainable services. Architect and implement distributed systems that support experiment orchestration, telemetry collection, data ingestion, and device interaction workflows. Design backend systems with strong focus on reliability, scalability, observability, and fault tolerance, including monitoring, logging, tracing, and graceful degradation. Deploy and operate services using Docker containers, local development environments with Docker Compose, and production orchestration using Kubernetes. Collaborate with interdisciplinary teams including physicists, hardware engineers, and research scientists to translate experimental workflows into scalable software systems. Mentor junior engineers and promote best practices in backend architecture, distributed systems design, reliability engineering, and software development. Lead architecture discussions, design reviews, and code reviews to maintain high engineering standards and system maintainability. Contribute to platform reliability and operational excellence, diagnosing production issues, improving system performance, and strengthening infrastructure resilience. Bachelor's degree in Computer Science, Engineering, Applied Mathematics, Physics, or related field with 3+ years of professional software engineering experience. Strong experience developing backend systems in Python, particularly using modern frameworks such as FastAPI, SQLAlchemy, or similar tools. Experience designing and implementing and deploying distributed systems or microservice architectures, using tools including Docker, Docker Compose & Kubernetes. Experience designing systems for reliability, scalability, and operational robustness and using CI/CD pipelines, automated testing infrastructure, and deployment automation. Strong understanding of software engineering best practices, including testing, version control, debugging, observability, documentation, and maintainability. Strong communication and collaboration skills, with the ability to work effectively across interdisciplinary teams. Desirable Skills or Knowledge Experience building distributed systems in cloud environments (AWS, GCP, Azure, or similar). Experience with message queues and event driven architectures (e.g., Kafka, RabbitMQ, NATS, or similar). Experience with database systems and data infrastructure, including relational databases, time series databases, and large scale data pipelines. Experience building Python packages with native extensions (Rust/C/C++). EQUAL OPPORTUNITY Regardless of your interest in the quantum industry, you can take pride in the fact that Infleqtion is building an ecosystem of quantum technologies and commercial products, driving the industry towards the future. Studies reveal that while men apply for jobs when they meet an average of 60% of the requirements, women and other groups tend to apply only when they meet all the criteria. If you believe you have the potential but don't meet every single point in our job advertisement, please don't hesitate to contact us! We would love to chat with you and see how you could bring great value to our team. Our goal is to find exceptional individuals who can enrich our team culture, actively contribute, and have a genuine passion for their work. Here you have freedom to embrace your whole self: who you love, your gender identity and expression, skin colour, age, appearance, disability, neurodiversity, DNA, military/veteran status, citizenship, and other factors that make up who you are. Your uniqueness is valued, welcomed, and appreciated here. We are dedicated to providing a positive workplace and base all employment decisions on your qualifications, performance, merits, as well as business needs. We are proud to be an Equal Employment Opportunity Employer. In addition to your base compensation, we offer a generous Total Rewards program which includes: Competitive salary Incentive Stock Option Plan Generous company 10% pension contribution regardless of employee contribution Unlimited PTO BUPA healthcare after probation period Cycle to work and Technology scheme
Apr 01, 2026
Full time
ABOUT THE COMPANY Infleqtion is a global quantum technology company solving the world's most challenging problems. The company harnesses quantum mechanics to build and integrate quantum computers, sensors, and networks. From fundamental physics to leading edge commercial products, Infleqtion enables "quantum everywhere" through our ecosystem of devices and platforms. Our mission is to commercialise atom-based quantum products that provide orders of magnitude improvements in performance and computing applications. LOCATION Infleqtion has offices in the USA, United Kingdom and Australia. This is a full time position in our Kidlington and Harwell offices. Our flexible working policy enables all full time employees to work up to 2 days a week from home as work permits. POSITION SUMMARY Infleqtion is seeking a Senior Cloud Backend Software Engineer to design and build scalable backend services that power both internal platform infrastructure and externally facing systems for our quantum technologies. This role focuses on developing cloud native microservice architectures, distributed APIs, and reliable backend systems that support experiment orchestration, data pipelines, device control workflows, and internal developer platforms. You will build and operate services that form the backbone of our quantum software platform, enabling scientists, engineers, and external users to interact with quantum hardware and experimentation workflows through robust, scalable infrastructure. The ideal candidate is comfortable building API driven services, asynchronous systems, and scalable data infrastructure deployed in containerised and orchestrated cloud environments. JOB RESPONSIBILITIES The duties and responsibilities outlined below include essential functions of the role. Depending on business needs, this role may perform a combination of some or all of the following duties. Duties, responsibilities, and activities may change, or new ones may be assigned at any time. Design, develop, and operate cloud native backend services and microservice architectures supporting both internal engineering platforms and externally accessible APIs. Build Python based backend systems using modern frameworks such as FastAPI and SQLAlchemy to implement scalable, maintainable services. Architect and implement distributed systems that support experiment orchestration, telemetry collection, data ingestion, and device interaction workflows. Design backend systems with strong focus on reliability, scalability, observability, and fault tolerance, including monitoring, logging, tracing, and graceful degradation. Deploy and operate services using Docker containers, local development environments with Docker Compose, and production orchestration using Kubernetes. Collaborate with interdisciplinary teams including physicists, hardware engineers, and research scientists to translate experimental workflows into scalable software systems. Mentor junior engineers and promote best practices in backend architecture, distributed systems design, reliability engineering, and software development. Lead architecture discussions, design reviews, and code reviews to maintain high engineering standards and system maintainability. Contribute to platform reliability and operational excellence, diagnosing production issues, improving system performance, and strengthening infrastructure resilience. Bachelor's degree in Computer Science, Engineering, Applied Mathematics, Physics, or related field with 3+ years of professional software engineering experience. Strong experience developing backend systems in Python, particularly using modern frameworks such as FastAPI, SQLAlchemy, or similar tools. Experience designing and implementing and deploying distributed systems or microservice architectures, using tools including Docker, Docker Compose & Kubernetes. Experience designing systems for reliability, scalability, and operational robustness and using CI/CD pipelines, automated testing infrastructure, and deployment automation. Strong understanding of software engineering best practices, including testing, version control, debugging, observability, documentation, and maintainability. Strong communication and collaboration skills, with the ability to work effectively across interdisciplinary teams. Desirable Skills or Knowledge Experience building distributed systems in cloud environments (AWS, GCP, Azure, or similar). Experience with message queues and event driven architectures (e.g., Kafka, RabbitMQ, NATS, or similar). Experience with database systems and data infrastructure, including relational databases, time series databases, and large scale data pipelines. Experience building Python packages with native extensions (Rust/C/C++). EQUAL OPPORTUNITY Regardless of your interest in the quantum industry, you can take pride in the fact that Infleqtion is building an ecosystem of quantum technologies and commercial products, driving the industry towards the future. Studies reveal that while men apply for jobs when they meet an average of 60% of the requirements, women and other groups tend to apply only when they meet all the criteria. If you believe you have the potential but don't meet every single point in our job advertisement, please don't hesitate to contact us! We would love to chat with you and see how you could bring great value to our team. Our goal is to find exceptional individuals who can enrich our team culture, actively contribute, and have a genuine passion for their work. Here you have freedom to embrace your whole self: who you love, your gender identity and expression, skin colour, age, appearance, disability, neurodiversity, DNA, military/veteran status, citizenship, and other factors that make up who you are. Your uniqueness is valued, welcomed, and appreciated here. We are dedicated to providing a positive workplace and base all employment decisions on your qualifications, performance, merits, as well as business needs. We are proud to be an Equal Employment Opportunity Employer. In addition to your base compensation, we offer a generous Total Rewards program which includes: Competitive salary Incentive Stock Option Plan Generous company 10% pension contribution regardless of employee contribution Unlimited PTO BUPA healthcare after probation period Cycle to work and Technology scheme
About Echobox: We are a fast-growing, research-driven company building an artificial intelligence that helps online publishers overcome the challenges they face every day. Using novel AI, we are revolutionising the publishing industry and have a track record of building things that others have ruled out as impossible. Leading names from around the world rely on our product every day, including The Times, Le Monde, The Guardian, Vogue and many more. About the Role: You will work closely with our Product team and Data Scientists to define and execute on the future path for our products. Key Responsibilities: Work closely with senior engineers to design, build, and maintain back-end services and systems that support our AI-powered products, all whilst meeting launch deadlines. Assist in the development and optimization of scalable, high-performance systems to support large volumes of data and machine learning models. Write clean, efficient, and maintainable code while following best practices and coding standards. Contribute to the deployment and integration of back-end services, ensuring that they work seamlessly with front-end and data science systems. Help improve the architecture and functionality of our back-end systems, focusing on performance, reliability, and scalability. Assist with debugging and troubleshooting technical issues, providing solutions to enhance system performance. Collaborate with cross-functional teams to identify system needs and contribute to continuous improvements. Continuously learn and apply new technologies and techniques to improve back-end infrastructure and processes. Requirements: A degree in Computer Science, Engineering, or a related field (or equivalent practical experience). 3-5 years of experience in back-end development or related field, with a focus on server-side technologies. Strong knowledge of programming languages such as Python, Java, or Node.js, and experience with back-end frameworks. Familiarity with databases (SQL and NoSQL) and experience in building and optimizing data storage solutions. Understanding of RESTful APIs, microservices architecture, and best practices for back-end development. Familiarity with version control systems such as Git. Experience working with cloud platforms (AWS, GCP, or Azure) and deploying applications in a cloud environment. A passion for solving problems with technology and working to deliver efficient, scalable solutions. A proactive, results-driven mindset with the ability to work independently and learn quickly. Preferred Requirements: Experience in a fast-paced SaaS or tech environment, focusing on building and scaling back-end systems. Understanding of security best practices for back-end development. Knowledge of machine learning concepts and the ability to collaborate with data scientists to optimize AI models. Strong communication skills and the ability to work effectively within cross-functional teams. Benefits: Our employees enjoy free breakfast every day, coffee, drinks and snacks all day, everyday. Every Monday, Wednesday and Friday, we order food for our weekly team lunches where everyone gets together for an hour of fun. We have regular team events (dinner, bowling, karting, poker nights, board-games etc.) for our team to get to know each other outside of work. Professionally, we host in-house conferences and an annual summer camp for all our global employees who are flown to and hosted in London. We ensure that all our employees also get pension contributions, the latest tech, generous annual leave and an amazing office with a balcony overlooking Notting Hill.
Apr 01, 2026
Full time
About Echobox: We are a fast-growing, research-driven company building an artificial intelligence that helps online publishers overcome the challenges they face every day. Using novel AI, we are revolutionising the publishing industry and have a track record of building things that others have ruled out as impossible. Leading names from around the world rely on our product every day, including The Times, Le Monde, The Guardian, Vogue and many more. About the Role: You will work closely with our Product team and Data Scientists to define and execute on the future path for our products. Key Responsibilities: Work closely with senior engineers to design, build, and maintain back-end services and systems that support our AI-powered products, all whilst meeting launch deadlines. Assist in the development and optimization of scalable, high-performance systems to support large volumes of data and machine learning models. Write clean, efficient, and maintainable code while following best practices and coding standards. Contribute to the deployment and integration of back-end services, ensuring that they work seamlessly with front-end and data science systems. Help improve the architecture and functionality of our back-end systems, focusing on performance, reliability, and scalability. Assist with debugging and troubleshooting technical issues, providing solutions to enhance system performance. Collaborate with cross-functional teams to identify system needs and contribute to continuous improvements. Continuously learn and apply new technologies and techniques to improve back-end infrastructure and processes. Requirements: A degree in Computer Science, Engineering, or a related field (or equivalent practical experience). 3-5 years of experience in back-end development or related field, with a focus on server-side technologies. Strong knowledge of programming languages such as Python, Java, or Node.js, and experience with back-end frameworks. Familiarity with databases (SQL and NoSQL) and experience in building and optimizing data storage solutions. Understanding of RESTful APIs, microservices architecture, and best practices for back-end development. Familiarity with version control systems such as Git. Experience working with cloud platforms (AWS, GCP, or Azure) and deploying applications in a cloud environment. A passion for solving problems with technology and working to deliver efficient, scalable solutions. A proactive, results-driven mindset with the ability to work independently and learn quickly. Preferred Requirements: Experience in a fast-paced SaaS or tech environment, focusing on building and scaling back-end systems. Understanding of security best practices for back-end development. Knowledge of machine learning concepts and the ability to collaborate with data scientists to optimize AI models. Strong communication skills and the ability to work effectively within cross-functional teams. Benefits: Our employees enjoy free breakfast every day, coffee, drinks and snacks all day, everyday. Every Monday, Wednesday and Friday, we order food for our weekly team lunches where everyone gets together for an hour of fun. We have regular team events (dinner, bowling, karting, poker nights, board-games etc.) for our team to get to know each other outside of work. Professionally, we host in-house conferences and an annual summer camp for all our global employees who are flown to and hosted in London. We ensure that all our employees also get pension contributions, the latest tech, generous annual leave and an amazing office with a balcony overlooking Notting Hill.
Meet the Team The post-pandemic years have exposed inherent biases and limitations in human-driven and statistical/Traditional ML-based forecasting approaches. Cisco wasn't immune and saw a sharp increase in backlogs, inventory levels, and supply chain costs. The Forecasting Data Science Team within Global Planning is solving this by pioneering the application of Causal AI to revolutionise Demand Forecasting and its Enterprise impact. We're working to provide breakthrough levels of regime-resilient forecast accuracy, efficiency, and prescriptive insights that enable decision makers across Cisco and its Supply Chain to plan effectively. We are a bright, engaged, and friendly global team working with an industry-leading Causal AI ecosystem. Gartner has ranked Cisco's Supply Chain to be or in the world over the last 5 years, and recognised this team in their Power of Profession 2024 Supply Chain awards as one of the top 5 in the Process and Technology Innovation category. Your Impact You will bring your skills, experience, and innovation to play a significant role in shaping our Causal AI-based forecasting system to improve decision making and drive operational performance and efficiency across Cisco's Enterprise and Supply Chain functions. You Will Develop, evolve, and sustain key elements of the Causal-AI based Forecasting system for Aggregated Demand. Analyse and sharpen the causal consideration of global financial markets, macro-economics, micro-economic and competitive factors in the Demand Forecasting models. Engineer model features from broad internal and external structured and unstructured datasets, discover and enhance the natural segmentation for Demand based on these factors, determine causality of the factors, and incorporate them into structural causal models. Develop high-quality, accurate models that are robust and have a long shelf life. Solve challenging research problems that push the boundaries of structural causal modelling and scale to Enterprise and Supply Chain business applications. Work closely with business leads and experts in Global Planning, other Supply Chain functions, Finance, and other Cisco organisations to understand relationships and patterns driving Cisco demand. Develop and evolve reliable approaches for uncertainty quantification to enable scenario/range forecasts Research and develop new methods to reconcile between forecasts at multiple product hierarchy levels, multiple time horizons, and different forecasting approaches. Leverage and incorporate appropriate machine learning approaches including customisation of recently published research as needed to build better Causal AI solutions. Provide technical direction and mentoring to junior data scientists and data engineers in the team, helping shape the skillsets and values of the next generation of Cisco data scientists. Minimum Qualifications 6+ years of Advanced Analytics experience with a Masters Degree or 4+ years with a PhD in a Mathematics or Applied Mathematics, Operations Research, Economics, Econometrics, Physics, Computer Science, Engineering, or related quantitative field. Strong foundation in AI and machine learning, with a theoretical and practical understanding of Causal machine learning approaches. Expertise in Python, with advanced data analysis and data engineering skills, including using SQL, experience git version control. Demonstrated structured wrangling and mining skills from data, and problem-solving skills using machine learning, including in real-time hackathon-like settings. Excellent communication and storytelling skills with an ability to unpack complex problems, and articulate AI/ML approaches, solutions, and results for non-technical audiences. Preferred Qualifications Experience with global financial markets, macro-economics, micro-economics, econometrics, and financial datasets. Substantial experience using Causal AI and Structured Causal Models in time series settings. Substantial experience in time series forecasting for demand use cases and/or other complex or dynamic domains like marketing/pricing A practical and effective approach to problem-solving using AI/ML and a knack for envisioning, translating business requirements into analytics requirements, and realising feasible data science solutions. Demonstrated team leadership, project management, and business stakeholder influencing skills Experience mentoring team members to improve their own technical and project management skills. where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all. Our passion is connection-we celebrate our employees' diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best. We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer-80 hours each year-allows us to give back to causes we are passionate about, and nearly 86% do! Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us! Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you.
Apr 01, 2026
Full time
Meet the Team The post-pandemic years have exposed inherent biases and limitations in human-driven and statistical/Traditional ML-based forecasting approaches. Cisco wasn't immune and saw a sharp increase in backlogs, inventory levels, and supply chain costs. The Forecasting Data Science Team within Global Planning is solving this by pioneering the application of Causal AI to revolutionise Demand Forecasting and its Enterprise impact. We're working to provide breakthrough levels of regime-resilient forecast accuracy, efficiency, and prescriptive insights that enable decision makers across Cisco and its Supply Chain to plan effectively. We are a bright, engaged, and friendly global team working with an industry-leading Causal AI ecosystem. Gartner has ranked Cisco's Supply Chain to be or in the world over the last 5 years, and recognised this team in their Power of Profession 2024 Supply Chain awards as one of the top 5 in the Process and Technology Innovation category. Your Impact You will bring your skills, experience, and innovation to play a significant role in shaping our Causal AI-based forecasting system to improve decision making and drive operational performance and efficiency across Cisco's Enterprise and Supply Chain functions. You Will Develop, evolve, and sustain key elements of the Causal-AI based Forecasting system for Aggregated Demand. Analyse and sharpen the causal consideration of global financial markets, macro-economics, micro-economic and competitive factors in the Demand Forecasting models. Engineer model features from broad internal and external structured and unstructured datasets, discover and enhance the natural segmentation for Demand based on these factors, determine causality of the factors, and incorporate them into structural causal models. Develop high-quality, accurate models that are robust and have a long shelf life. Solve challenging research problems that push the boundaries of structural causal modelling and scale to Enterprise and Supply Chain business applications. Work closely with business leads and experts in Global Planning, other Supply Chain functions, Finance, and other Cisco organisations to understand relationships and patterns driving Cisco demand. Develop and evolve reliable approaches for uncertainty quantification to enable scenario/range forecasts Research and develop new methods to reconcile between forecasts at multiple product hierarchy levels, multiple time horizons, and different forecasting approaches. Leverage and incorporate appropriate machine learning approaches including customisation of recently published research as needed to build better Causal AI solutions. Provide technical direction and mentoring to junior data scientists and data engineers in the team, helping shape the skillsets and values of the next generation of Cisco data scientists. Minimum Qualifications 6+ years of Advanced Analytics experience with a Masters Degree or 4+ years with a PhD in a Mathematics or Applied Mathematics, Operations Research, Economics, Econometrics, Physics, Computer Science, Engineering, or related quantitative field. Strong foundation in AI and machine learning, with a theoretical and practical understanding of Causal machine learning approaches. Expertise in Python, with advanced data analysis and data engineering skills, including using SQL, experience git version control. Demonstrated structured wrangling and mining skills from data, and problem-solving skills using machine learning, including in real-time hackathon-like settings. Excellent communication and storytelling skills with an ability to unpack complex problems, and articulate AI/ML approaches, solutions, and results for non-technical audiences. Preferred Qualifications Experience with global financial markets, macro-economics, micro-economics, econometrics, and financial datasets. Substantial experience using Causal AI and Structured Causal Models in time series settings. Substantial experience in time series forecasting for demand use cases and/or other complex or dynamic domains like marketing/pricing A practical and effective approach to problem-solving using AI/ML and a knack for envisioning, translating business requirements into analytics requirements, and realising feasible data science solutions. Demonstrated team leadership, project management, and business stakeholder influencing skills Experience mentoring team members to improve their own technical and project management skills. where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all. Our passion is connection-we celebrate our employees' diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best. We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer-80 hours each year-allows us to give back to causes we are passionate about, and nearly 86% do! Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us! Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you.
Founding Applied Scientist Build AI systems that learn from experience to move real business metrics London / Remote Full-time Pavo Labs About Pavo Pavo is building Enterprise Superintelligence: compounding systems that take ownership of business outcomes and work with humans to deliver them. We believe that while foundation models are necessary, they are not sufficient. The hard problem is systems intelligence: end-to-end architectures that understand a company's code, data, and decisions, and improve themselves through experience. We are assembling a small, senior team of researchers and engineers obsessed with systems-first intelligence. Our current team consists of PhDs and ML engineers from top applied ML and coding agent companies, with a heritage of shipping systems at Spotify, ShareChat, and Sourcegraph scale. Our team has built impressive momentum with a small group of highly capable engineers and researchers. The Opportunity As a Founding Applied Scientist, you will operate at the intersection of research and engineering, building the core systems that allow AI teammates to learn from enterprise environments, reason over tribal knowledge, and drive measurable business impact. You will help shape how applied science is practiced in the industry in the age of agents. This is a high-autonomy role for a builder who wants to move beyond static benchmarks and solve the "last mile" problem of AI reliability and agency in the enterprise. What You'll Build You will research, design, and ship the next generation of our system architecture, focusing on: Agents & Tribal Knowledge Systems: Design multi-agent architectures that tackle complex, long-horizon tasks. Solve High-Impact Applied Science Problems: Lead the charge in identifying, scoping, and solving complex business problems using machine learning. This includes everything from improving user engagement and retention to optimizing pricing and inventory. Partner with Customers: Work directly with the engineering and product teams of our most strategic customers. You'll be their trusted advisor for all things machine learning, helping them adopt agentic architectures. End-to-End Model Development: Design, build, and deploy production-grade machine learning models for our customers using the Pavo AI platform, extending its capabilities where necessary to handle large-scale user-centric systems. What We Are Looking For We are looking for exceptional individuals who can operate at the frontier of applied AI research. You should be as comfortable reading a NeurIPS paper as you are debugging a distributed system. Core Qualifications Experience & Impact: 4+ years of experience in Applied Science or ML Engineering, with a clear track record of shipping ML products that directly impacted top-line business metrics (e.g., retention, engagement, revenue) at scale (100M+ users). Production Engineering: You are an engineer first. Deep proficiency in Python/C++, experience with low-latency inference systems, and familiarity with distributed computing frameworks (Ray, Spark, Flink). You write code that survives in production, not just notebooks. The Full ML Lifecycle: Expertise in end-to end system design: from feature stores and real time data pipelines (Kafka/Beam) to A/B testing infrastructure and model monitoring. You understand the nuances of online vs. offline evaluation and have experience solving for feedback loops in production. Algorithmic Depth: Strong foundations in core ML approaches used in large-scale search/recsys (embeddings, retrieval & ranking, GNNs, bandits) combined with expertise in the frontier stack (LLMs, RL, multi agent orchestration). Technical Strategy: Experience defining technical roadmaps and architectural standards. You can navigate trade-offs between model complexity, serving latency, and engineering velocity. Nice to Have PhD or M.S. in Computer Science, Statistics, or a related quantitative field. Experience at a frontier AI lab or high growth AI startup. Publications in top tier ML conferences (e.g., NeurIPS, ICML, ICLR, KDD, RecSys). Background in recommender systems, personalization, causal inference, or computational advertising. Why Join Us Founding Equity: Significant ownership in a company tackling the next layer of the AI stack. Hard Problems: Work on unsolved problems in agentic reasoning, memory, and reinforcement learning. World Class Team: Collaborate with a dense talent cluster of researchers and engineers who have shipped products serving hundreds of millions of users. Pavo is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Apr 01, 2026
Full time
Founding Applied Scientist Build AI systems that learn from experience to move real business metrics London / Remote Full-time Pavo Labs About Pavo Pavo is building Enterprise Superintelligence: compounding systems that take ownership of business outcomes and work with humans to deliver them. We believe that while foundation models are necessary, they are not sufficient. The hard problem is systems intelligence: end-to-end architectures that understand a company's code, data, and decisions, and improve themselves through experience. We are assembling a small, senior team of researchers and engineers obsessed with systems-first intelligence. Our current team consists of PhDs and ML engineers from top applied ML and coding agent companies, with a heritage of shipping systems at Spotify, ShareChat, and Sourcegraph scale. Our team has built impressive momentum with a small group of highly capable engineers and researchers. The Opportunity As a Founding Applied Scientist, you will operate at the intersection of research and engineering, building the core systems that allow AI teammates to learn from enterprise environments, reason over tribal knowledge, and drive measurable business impact. You will help shape how applied science is practiced in the industry in the age of agents. This is a high-autonomy role for a builder who wants to move beyond static benchmarks and solve the "last mile" problem of AI reliability and agency in the enterprise. What You'll Build You will research, design, and ship the next generation of our system architecture, focusing on: Agents & Tribal Knowledge Systems: Design multi-agent architectures that tackle complex, long-horizon tasks. Solve High-Impact Applied Science Problems: Lead the charge in identifying, scoping, and solving complex business problems using machine learning. This includes everything from improving user engagement and retention to optimizing pricing and inventory. Partner with Customers: Work directly with the engineering and product teams of our most strategic customers. You'll be their trusted advisor for all things machine learning, helping them adopt agentic architectures. End-to-End Model Development: Design, build, and deploy production-grade machine learning models for our customers using the Pavo AI platform, extending its capabilities where necessary to handle large-scale user-centric systems. What We Are Looking For We are looking for exceptional individuals who can operate at the frontier of applied AI research. You should be as comfortable reading a NeurIPS paper as you are debugging a distributed system. Core Qualifications Experience & Impact: 4+ years of experience in Applied Science or ML Engineering, with a clear track record of shipping ML products that directly impacted top-line business metrics (e.g., retention, engagement, revenue) at scale (100M+ users). Production Engineering: You are an engineer first. Deep proficiency in Python/C++, experience with low-latency inference systems, and familiarity with distributed computing frameworks (Ray, Spark, Flink). You write code that survives in production, not just notebooks. The Full ML Lifecycle: Expertise in end-to end system design: from feature stores and real time data pipelines (Kafka/Beam) to A/B testing infrastructure and model monitoring. You understand the nuances of online vs. offline evaluation and have experience solving for feedback loops in production. Algorithmic Depth: Strong foundations in core ML approaches used in large-scale search/recsys (embeddings, retrieval & ranking, GNNs, bandits) combined with expertise in the frontier stack (LLMs, RL, multi agent orchestration). Technical Strategy: Experience defining technical roadmaps and architectural standards. You can navigate trade-offs between model complexity, serving latency, and engineering velocity. Nice to Have PhD or M.S. in Computer Science, Statistics, or a related quantitative field. Experience at a frontier AI lab or high growth AI startup. Publications in top tier ML conferences (e.g., NeurIPS, ICML, ICLR, KDD, RecSys). Background in recommender systems, personalization, causal inference, or computational advertising. Why Join Us Founding Equity: Significant ownership in a company tackling the next layer of the AI stack. Hard Problems: Work on unsolved problems in agentic reasoning, memory, and reinforcement learning. World Class Team: Collaborate with a dense talent cluster of researchers and engineers who have shipped products serving hundreds of millions of users. Pavo is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Summer Intern - Trainee Patent Attorney STEM Discipline: Physics/ Electrical and Electronic Engineering Location: Leeds Duration: 2 week full time internship Timing: 29th June for 2 weeks Paid Opportunity EIP is pleased to offer a two week Summer Internship for individuals interested in gaining first hand insight into the work of a patent attorney. This programme provides a valuable opportunity to explore what a career in patent law involves and to help you assess whether it's the right path for you. Interns who perform strongly during the programme may also be considered for a permanent Patent Scientist / Trainee Patent Attorney position for the following September. What To Expect As an Intern at EIP, you will: Take part in induction sessions introducing you to the firm Attend training sessions covering topics such as the basics of patent protection, the role of a patent attorney, life as a trainee, and key IP rights and laws. Shadow your mentor and support them with tasks designed to give you a realistic insight into patent attorney work You will be assigned both a mentor (typically a patent scientist, associate, or senior associate) and a supervisor (usually a partner), each aligned with your technical background and interests. This ensures tailored guidance and meaningful exposure throughout your time with us. Who We're Looking For We welcome applications from individuals who are curious about intellectual property and enthusiastic about exploring a career in patents. Successful candidates will be currently in the penultimate year of a bachelor's degree, master's degree or PhD in Physics / Electrical and Electronic Engineering and demonstrate: A professional and personable approach Excellent written and verbal communication skills Confidence working with people at all levels Ability to work under pressure Strong research and presentation skills Self motivation and effective workload management Meticulous attention to detail and strong analytical ability Initiative and the ability to work independently Who We Are EIP is an award winning firm specialising in high value and complex patent matters, with offices across Europe and the US. Our multidisciplinary team brings together patent attorneys, litigators, and commercial IP lawyers across major patent markets including the UK, Europe and the USA. We work with a diverse and growing client base-from major multinationals to innovative scale ups and cutting edge start ups-helping them protect and maximise the value of their intellectual property.
Apr 01, 2026
Full time
Summer Intern - Trainee Patent Attorney STEM Discipline: Physics/ Electrical and Electronic Engineering Location: Leeds Duration: 2 week full time internship Timing: 29th June for 2 weeks Paid Opportunity EIP is pleased to offer a two week Summer Internship for individuals interested in gaining first hand insight into the work of a patent attorney. This programme provides a valuable opportunity to explore what a career in patent law involves and to help you assess whether it's the right path for you. Interns who perform strongly during the programme may also be considered for a permanent Patent Scientist / Trainee Patent Attorney position for the following September. What To Expect As an Intern at EIP, you will: Take part in induction sessions introducing you to the firm Attend training sessions covering topics such as the basics of patent protection, the role of a patent attorney, life as a trainee, and key IP rights and laws. Shadow your mentor and support them with tasks designed to give you a realistic insight into patent attorney work You will be assigned both a mentor (typically a patent scientist, associate, or senior associate) and a supervisor (usually a partner), each aligned with your technical background and interests. This ensures tailored guidance and meaningful exposure throughout your time with us. Who We're Looking For We welcome applications from individuals who are curious about intellectual property and enthusiastic about exploring a career in patents. Successful candidates will be currently in the penultimate year of a bachelor's degree, master's degree or PhD in Physics / Electrical and Electronic Engineering and demonstrate: A professional and personable approach Excellent written and verbal communication skills Confidence working with people at all levels Ability to work under pressure Strong research and presentation skills Self motivation and effective workload management Meticulous attention to detail and strong analytical ability Initiative and the ability to work independently Who We Are EIP is an award winning firm specialising in high value and complex patent matters, with offices across Europe and the US. Our multidisciplinary team brings together patent attorneys, litigators, and commercial IP lawyers across major patent markets including the UK, Europe and the USA. We work with a diverse and growing client base-from major multinationals to innovative scale ups and cutting edge start ups-helping them protect and maximise the value of their intellectual property.
. Data Science Team Lead, Search & Evaluation Elsevier's mission is to help researchers, clinicians, and life sciences professionals advance discovery and improve health outcomes through trusted content, data, and analytics. As the landscape of science and healthcare evolves, we are pioneering intelligent discovery experiences - from Scopus AI and LeapSpace to ClinicalKey AI, PharmaPendium, and next-generation life sciences platforms. These products leverage retrieval-augmented generation (RAG), semantic search, and generative AI to make knowledge more discoverable, connected, and actionable across disciplines. About the role: We are seeking a Search and Evaluation Data Science Team Lead to join Elsevier's Platform Data Science organisation - the team driving enterprise-scale AI, retrieval, and evaluation innovation across Elsevier's global platforms. This role will lead a group of applied scientists advancing lexical, vector, and hybrid retrieval systems; designing robust evaluation frameworks; and shaping the foundation of Elsevier's next-generation search and AI ecosystem. Key responsibilities: Collaborate on core platform services powering knowledge graphs, semantic enrichment, and generative interfaces that underpin Elsevier's AI products in science, health, and life sciences. Data Science & Evaluation Advance Elsevier's knowledge graph and metadata integration strategy, linking research and health data for more context-aware retrieval. Requirements: 6+ years of experience building and evaluating search, ranking, or retrieval systems, including 2+ years in a leadership or senior technical role. Strong programming proficiency in Python, with hands-on experience in PyTorch, Hugging Face, LangGraph or Haystack. Experience deploying retrieval-enhanced LLMs and hybrid retrieval pipelines in production environments. Familiarity with scientific ontologies and metadata standards (e.g., MeSH, UMLS, ORCID, CrossRef). Strong communication and stakeholder management skills, with the ability to bridge data science, engineering, and product domains. Prior experience in academic publishing, research intelligence, or enterprise-scale AI systems. We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: As a global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click to access benefits specific to your location. RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.
Apr 01, 2026
Full time
. Data Science Team Lead, Search & Evaluation Elsevier's mission is to help researchers, clinicians, and life sciences professionals advance discovery and improve health outcomes through trusted content, data, and analytics. As the landscape of science and healthcare evolves, we are pioneering intelligent discovery experiences - from Scopus AI and LeapSpace to ClinicalKey AI, PharmaPendium, and next-generation life sciences platforms. These products leverage retrieval-augmented generation (RAG), semantic search, and generative AI to make knowledge more discoverable, connected, and actionable across disciplines. About the role: We are seeking a Search and Evaluation Data Science Team Lead to join Elsevier's Platform Data Science organisation - the team driving enterprise-scale AI, retrieval, and evaluation innovation across Elsevier's global platforms. This role will lead a group of applied scientists advancing lexical, vector, and hybrid retrieval systems; designing robust evaluation frameworks; and shaping the foundation of Elsevier's next-generation search and AI ecosystem. Key responsibilities: Collaborate on core platform services powering knowledge graphs, semantic enrichment, and generative interfaces that underpin Elsevier's AI products in science, health, and life sciences. Data Science & Evaluation Advance Elsevier's knowledge graph and metadata integration strategy, linking research and health data for more context-aware retrieval. Requirements: 6+ years of experience building and evaluating search, ranking, or retrieval systems, including 2+ years in a leadership or senior technical role. Strong programming proficiency in Python, with hands-on experience in PyTorch, Hugging Face, LangGraph or Haystack. Experience deploying retrieval-enhanced LLMs and hybrid retrieval pipelines in production environments. Familiarity with scientific ontologies and metadata standards (e.g., MeSH, UMLS, ORCID, CrossRef). Strong communication and stakeholder management skills, with the ability to bridge data science, engineering, and product domains. Prior experience in academic publishing, research intelligence, or enterprise-scale AI systems. We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: As a global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click to access benefits specific to your location. RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.
Optical Systems Development Engineer - MedTech Newton Colmore is working with a medical technology company in Cambridgeshire and we are assisting them in their search for a highly skilled optical systems designer/engineer. As an Optical Systems specialist you will be applying your sound engineering and physics experience to the design of highly complex devices and hardware, all aiming to provide a step-change in patient care and outcomes. Your work will involve coming up with new ideas and inventions around advanced technologies and you will take your ideas from initial concept all the way through to manufacturing. In particular your focus will be on simulation, prototyping, and testing of device components and systems ranging in size and complexity. This role is at the intersection of mechanical design, physics and electronics and you will be joining a team of engineers and scientists who love solving complex problems with their work. This is a vital role for the team as they enhance their design capabilities and so the seniority of the role is flexible and can be tailored to the right person. To be considered for this role we are looking for candidates who have the following; Proven experience with the design and development of optical systems. Strong academics and fundamentals, ideally in physics or mechanical engineering. Hands-on knowledge of optical design tools such as ZEMAX or OSLO etc. It would be ideal to have prior medical devices knowledge or experience within a regulated industry. In exchange for your skills and expertise, the company offer a tailored salary and package which includes monetary performance bonuses, a highly competitive pension contribution, plus a mix of other benefits. You will also be joining a company has had worked hard to provide an environment that encourages new ideas. For more information, please call Matthew Lowdon of Newton Colmore Consulting on (phone number removed) or make an application and one of our team will be in touch. Newton Colmore is a highly specialist search firm and we help companies find best-in-class engineers and scientists to work on technologies and science that creates impact. Key words: Optics, physics, optical physicist, science, research, engineering, design, Cambridge
Mar 31, 2026
Full time
Optical Systems Development Engineer - MedTech Newton Colmore is working with a medical technology company in Cambridgeshire and we are assisting them in their search for a highly skilled optical systems designer/engineer. As an Optical Systems specialist you will be applying your sound engineering and physics experience to the design of highly complex devices and hardware, all aiming to provide a step-change in patient care and outcomes. Your work will involve coming up with new ideas and inventions around advanced technologies and you will take your ideas from initial concept all the way through to manufacturing. In particular your focus will be on simulation, prototyping, and testing of device components and systems ranging in size and complexity. This role is at the intersection of mechanical design, physics and electronics and you will be joining a team of engineers and scientists who love solving complex problems with their work. This is a vital role for the team as they enhance their design capabilities and so the seniority of the role is flexible and can be tailored to the right person. To be considered for this role we are looking for candidates who have the following; Proven experience with the design and development of optical systems. Strong academics and fundamentals, ideally in physics or mechanical engineering. Hands-on knowledge of optical design tools such as ZEMAX or OSLO etc. It would be ideal to have prior medical devices knowledge or experience within a regulated industry. In exchange for your skills and expertise, the company offer a tailored salary and package which includes monetary performance bonuses, a highly competitive pension contribution, plus a mix of other benefits. You will also be joining a company has had worked hard to provide an environment that encourages new ideas. For more information, please call Matthew Lowdon of Newton Colmore Consulting on (phone number removed) or make an application and one of our team will be in touch. Newton Colmore is a highly specialist search firm and we help companies find best-in-class engineers and scientists to work on technologies and science that creates impact. Key words: Optics, physics, optical physicist, science, research, engineering, design, Cambridge
Senior Design Manager Overview: We have an opportunity for a Senior Design Manager or a time-served Design Manager ready to take the next step towards a Senior Design Manager, to join a growing team within our clients Life Science & Technology sector. As Senior Design Manager you will leads the delivery of effective design across multiple projects, or a single large-scale project. To provide a focus for, and lead the pre-construction and construction design processes, liaising with the client, client vendors, the design team, in-house bid team, operations team and other supporting digital / information functions within the clients business overseeing the design and development of facilities, equipment, and processes within the life sciences & technology sector, ensuring compliance with regulations and industry standards. This role shall be client facing, with the requirement for wider stakeholder engagement. Responsibilities: Possess a strong understanding of contractual procurement routes and contractual administration, Design & Build (D&B), Engineering Procurement Construction Management (EPCM) Engineering Procurement and Construction (EPC) JCT and NEC Contracts Possess a strong understanding of life science technologies and processes, including equipment, instrumentation, vendor engagement and workflows Possess a strong understand of design stage plan of works to reflect client design and procurement work-stage i.e. RIBA, FEL (Front-End Engineering Design), Architecture Engineering and Construction (AEC). Work closely with various stakeholders, including scientists, engineers, contractors, and regulatory agencies. Identify and resolve design and technical issues that may arise during the project lifecycle. Identify opportunities for improvement in design processes and facility operations. Manage and mentor design teams, ensuring they have the necessary skills and resources to succeed. Providing a focus for and leading the pre-construction phase briefing and design processes. Leading our clients design management procedures, providing a functional link between the commercial, construction teams, other in-house digital and innovation support functions and the designers throughout the project life. Implementing the processes that enable the design to be challenged and interrogated within a collaborative team framework Implementing agreed processes for the production, control and distribution of design information at different project stages. Ensuring regular progress reporting of the design. Ensuring design information is thoroughly reviewed: for buildability, safety and maintainability, 'completeness & compliance' and technical suitability before use. Assisting the Design Leader in promoting innovation in design management, methodology, processes and practices. Assisting the Design Leader in promoting the application and adoption of the Company's vision and values in all design management activities. Design for Manufacture and Assembly, and solutions optioneering Managing consultancies Information and Change Control Design compliance (client's compliance and legislative compliance) Provide a mentoring role for junior design managers / co-ordinators Support to both the pre-construction and construction processes, and play a leading role in the review, research, understanding and implementation of innovative design solution to every stage of the design process and be responsible for leading the tasks and processes of the design team. Experience Have at least 10 years experience The ideal candidate shall have an exceptional working knowledge of current LST procurement routes, contractual administration and a good understanding of design stage workflows associated within the LST sector. The candidate will have a strong design bias either towards an architectural CSA or engineering MEP background, with a good understanding of the other discipline They will liaise between the client, design consultants and the project staff for design matters, as well as liaising with the Site Management for the development of design package and procurement strategies. Qualifications: Construction or Engineering diploma/degree qualified Additional Information Competitive salary Company Car Pension Annual bonus 26+ days annual leave Much more! ersg are an equal opportunities employer; we are committed to promoting equality of opportunity for all job applicants. We do not discriminate against applicants on the basis of age, sex, race, disability, pregnancy, marital status, sexual orientation, gender reassignment or religious background; all decisions are based on merit.
Mar 31, 2026
Full time
Senior Design Manager Overview: We have an opportunity for a Senior Design Manager or a time-served Design Manager ready to take the next step towards a Senior Design Manager, to join a growing team within our clients Life Science & Technology sector. As Senior Design Manager you will leads the delivery of effective design across multiple projects, or a single large-scale project. To provide a focus for, and lead the pre-construction and construction design processes, liaising with the client, client vendors, the design team, in-house bid team, operations team and other supporting digital / information functions within the clients business overseeing the design and development of facilities, equipment, and processes within the life sciences & technology sector, ensuring compliance with regulations and industry standards. This role shall be client facing, with the requirement for wider stakeholder engagement. Responsibilities: Possess a strong understanding of contractual procurement routes and contractual administration, Design & Build (D&B), Engineering Procurement Construction Management (EPCM) Engineering Procurement and Construction (EPC) JCT and NEC Contracts Possess a strong understanding of life science technologies and processes, including equipment, instrumentation, vendor engagement and workflows Possess a strong understand of design stage plan of works to reflect client design and procurement work-stage i.e. RIBA, FEL (Front-End Engineering Design), Architecture Engineering and Construction (AEC). Work closely with various stakeholders, including scientists, engineers, contractors, and regulatory agencies. Identify and resolve design and technical issues that may arise during the project lifecycle. Identify opportunities for improvement in design processes and facility operations. Manage and mentor design teams, ensuring they have the necessary skills and resources to succeed. Providing a focus for and leading the pre-construction phase briefing and design processes. Leading our clients design management procedures, providing a functional link between the commercial, construction teams, other in-house digital and innovation support functions and the designers throughout the project life. Implementing the processes that enable the design to be challenged and interrogated within a collaborative team framework Implementing agreed processes for the production, control and distribution of design information at different project stages. Ensuring regular progress reporting of the design. Ensuring design information is thoroughly reviewed: for buildability, safety and maintainability, 'completeness & compliance' and technical suitability before use. Assisting the Design Leader in promoting innovation in design management, methodology, processes and practices. Assisting the Design Leader in promoting the application and adoption of the Company's vision and values in all design management activities. Design for Manufacture and Assembly, and solutions optioneering Managing consultancies Information and Change Control Design compliance (client's compliance and legislative compliance) Provide a mentoring role for junior design managers / co-ordinators Support to both the pre-construction and construction processes, and play a leading role in the review, research, understanding and implementation of innovative design solution to every stage of the design process and be responsible for leading the tasks and processes of the design team. Experience Have at least 10 years experience The ideal candidate shall have an exceptional working knowledge of current LST procurement routes, contractual administration and a good understanding of design stage workflows associated within the LST sector. The candidate will have a strong design bias either towards an architectural CSA or engineering MEP background, with a good understanding of the other discipline They will liaise between the client, design consultants and the project staff for design matters, as well as liaising with the Site Management for the development of design package and procurement strategies. Qualifications: Construction or Engineering diploma/degree qualified Additional Information Competitive salary Company Car Pension Annual bonus 26+ days annual leave Much more! ersg are an equal opportunities employer; we are committed to promoting equality of opportunity for all job applicants. We do not discriminate against applicants on the basis of age, sex, race, disability, pregnancy, marital status, sexual orientation, gender reassignment or religious background; all decisions are based on merit.
Senior Project Manager About Us We are a world-class technology and engineering consultancy delivering advanced research, development services and products to high-profile Defence customers in the UK and internationally. Our teams bring together engineers, scientists and analysts to solve complex, mission-critical challenges and build capability that protects what matters most click apply for full job details
Mar 28, 2026
Full time
Senior Project Manager About Us We are a world-class technology and engineering consultancy delivering advanced research, development services and products to high-profile Defence customers in the UK and internationally. Our teams bring together engineers, scientists and analysts to solve complex, mission-critical challenges and build capability that protects what matters most click apply for full job details
