Huawei Technologies Research & Development (UK) Ltd
About Huawei Research and Development UK Limited Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We have 207,000 employees and operate in over 170 countries and regions, serving more than three billion people around the world. Our vision and mission is to bring digital to every person, home and organization for a fully connected, intelligent world. To this end, we will drive ubiquitous connectivity and promote equal access to networks; bring cloud and artificial intelligence to all four corners of the earth to provide superior computing power where you need it, when you need it; build digital platforms to help all industries and organizations become more agile, efficient, and dynamic; redefine user experience with AI, making it more personalized for people in all aspects of their life, whether they're at home, in the office, or on the go. This spirit of innovation has led Huawei to work in close partnership with leading academic institutions in the UK to develop and refine the latest technologies. With a shared commitment to innovation and progress, both parties have worked together to achieve common goals and establish a strong partnership. The partnership between UK and Huawei help to develop the technologies of the future that will transform the way we all communicate, work and live. For the past 30 years we have maintained an unwavering focus, rejecting shortcuts and easy opportunities that don't align with our core business. With a practical approach to everything we do, we concentrate our efforts and invest patiently to drive technological breakthroughs. This strategic focus is a reflection of our core values: Staying customer-centric Inspiring dedication Persevering Growing by reflection Huawei Research and Development UK Limited Overview Huawei's vision is a fully connected, intelligent world. To achieve this, we work to inspire passion for basic research around the world. Our combined passion drives development across the global innovation value chain. Huawei has the largest Research and Development organization in the world with 96,000+ employees in research centers around the globe. In the UK, we already have design centers in Cambridge, London, Edinburgh and Ipswich. We continue to explore and define new research directions and new services. We have expanded our collaborations with academic researchers; researched new network architectures, integration of communications and key enabling technologies; and developed the fundamental theories of these technologies. We invite you to join us on this exciting journey and drive your career forward. Job Summary Research and develop AI-driven systems for autonomous materials discovery, with focus on crystal structure prediction and property optimization. Design hybrid world models combining symbolic physics simulators with neural surrogates, and implement LLM-guided search algorithms coordinated through reinforcement learning and Bayesian optimization frameworks targeting accelerated discovery of superconductors, catalysts, and functional materials. Bridge the sim-to-real gap by integrating computational chemistry tools (DFT, molecular dynamics) with autonomous laboratory feedback loops for closed-loop experimentation and model refinement. Key Responsibilities: Conduct original research at the intersection of materials science and machine learning, leading to publications in top conferences and journals (e.g., NeurIPS, ICLR, ICML, Nature Materials, JACS, Physical Review). Design and implement algorithms for materials discovery using reinforcement learning, Bayesian optimization, and LLM-guided search. Develop and validate world models for materials systems, including hybrid symbolic-neural simulators and surrogate models for expensive quantum mechanical calculations. Collaborate with domain experts to translate materials science problems into computational frameworks and validate results against experimental data. Actively engage with both the ML and materials research communities through publications, open-source contributions, and cross-disciplinary collaboration. This job description is only an outline of the tasks, responsibilities and outcomes required of the role. The jobholder will carry out any other duties as may be reasonably required by his/her line manager. The job description and personal specification may be reviewed on an ongoing basis in accordance with the changing needs of Huawei Research and Development UK Limited. Required: Master's or PhD (or currently pursuing) in Materials Science, Computational Chemistry, Chemical Physics, or related field, with demonstrated exposure to machine learning applications. Strong foundation in crystallography, solid-state chemistry, or computational materials science (DFT, molecular dynamics, structure-property relationships). Familiarity with at least one of the following ML areas: Reinforcement learning, Bayesian optimization, world models, or LLM applications. Proficiency in Python and experience with scientific computing libraries and at least one ML framework (PyTorch, JAX, or TensorFlow). Ability to work in a fast-paced, research-oriented environment bridging materials science and AI. Passion for applying AI to accelerate scientific discovery in the physical sciences. Desired: Publications in materials science, chemistry, or physics journals (e.g., Nature Materials, Advanced Materials, JACS, Physical Review) or at ML/AI conferences. Hands-on experience with computational chemistry tools. Experience with materials databases and high-throughput computational screening. Familiarity with graph neural networks for materials or surrogate modeling techniques. Knowledge of autonomous laboratories, robotic experimentation, or closed-loop optimization in physical sciences. Active GitHub portfolio showcasing materials informatics or AI-for-science projects. Understanding of structure prediction methods (genetic algorithms, particle swarm, basin hopping) and their limitations.
Mar 11, 2026
Full time
About Huawei Research and Development UK Limited Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We have 207,000 employees and operate in over 170 countries and regions, serving more than three billion people around the world. Our vision and mission is to bring digital to every person, home and organization for a fully connected, intelligent world. To this end, we will drive ubiquitous connectivity and promote equal access to networks; bring cloud and artificial intelligence to all four corners of the earth to provide superior computing power where you need it, when you need it; build digital platforms to help all industries and organizations become more agile, efficient, and dynamic; redefine user experience with AI, making it more personalized for people in all aspects of their life, whether they're at home, in the office, or on the go. This spirit of innovation has led Huawei to work in close partnership with leading academic institutions in the UK to develop and refine the latest technologies. With a shared commitment to innovation and progress, both parties have worked together to achieve common goals and establish a strong partnership. The partnership between UK and Huawei help to develop the technologies of the future that will transform the way we all communicate, work and live. For the past 30 years we have maintained an unwavering focus, rejecting shortcuts and easy opportunities that don't align with our core business. With a practical approach to everything we do, we concentrate our efforts and invest patiently to drive technological breakthroughs. This strategic focus is a reflection of our core values: Staying customer-centric Inspiring dedication Persevering Growing by reflection Huawei Research and Development UK Limited Overview Huawei's vision is a fully connected, intelligent world. To achieve this, we work to inspire passion for basic research around the world. Our combined passion drives development across the global innovation value chain. Huawei has the largest Research and Development organization in the world with 96,000+ employees in research centers around the globe. In the UK, we already have design centers in Cambridge, London, Edinburgh and Ipswich. We continue to explore and define new research directions and new services. We have expanded our collaborations with academic researchers; researched new network architectures, integration of communications and key enabling technologies; and developed the fundamental theories of these technologies. We invite you to join us on this exciting journey and drive your career forward. Job Summary Research and develop AI-driven systems for autonomous materials discovery, with focus on crystal structure prediction and property optimization. Design hybrid world models combining symbolic physics simulators with neural surrogates, and implement LLM-guided search algorithms coordinated through reinforcement learning and Bayesian optimization frameworks targeting accelerated discovery of superconductors, catalysts, and functional materials. Bridge the sim-to-real gap by integrating computational chemistry tools (DFT, molecular dynamics) with autonomous laboratory feedback loops for closed-loop experimentation and model refinement. Key Responsibilities: Conduct original research at the intersection of materials science and machine learning, leading to publications in top conferences and journals (e.g., NeurIPS, ICLR, ICML, Nature Materials, JACS, Physical Review). Design and implement algorithms for materials discovery using reinforcement learning, Bayesian optimization, and LLM-guided search. Develop and validate world models for materials systems, including hybrid symbolic-neural simulators and surrogate models for expensive quantum mechanical calculations. Collaborate with domain experts to translate materials science problems into computational frameworks and validate results against experimental data. Actively engage with both the ML and materials research communities through publications, open-source contributions, and cross-disciplinary collaboration. This job description is only an outline of the tasks, responsibilities and outcomes required of the role. The jobholder will carry out any other duties as may be reasonably required by his/her line manager. The job description and personal specification may be reviewed on an ongoing basis in accordance with the changing needs of Huawei Research and Development UK Limited. Required: Master's or PhD (or currently pursuing) in Materials Science, Computational Chemistry, Chemical Physics, or related field, with demonstrated exposure to machine learning applications. Strong foundation in crystallography, solid-state chemistry, or computational materials science (DFT, molecular dynamics, structure-property relationships). Familiarity with at least one of the following ML areas: Reinforcement learning, Bayesian optimization, world models, or LLM applications. Proficiency in Python and experience with scientific computing libraries and at least one ML framework (PyTorch, JAX, or TensorFlow). Ability to work in a fast-paced, research-oriented environment bridging materials science and AI. Passion for applying AI to accelerate scientific discovery in the physical sciences. Desired: Publications in materials science, chemistry, or physics journals (e.g., Nature Materials, Advanced Materials, JACS, Physical Review) or at ML/AI conferences. Hands-on experience with computational chemistry tools. Experience with materials databases and high-throughput computational screening. Familiarity with graph neural networks for materials or surrogate modeling techniques. Knowledge of autonomous laboratories, robotic experimentation, or closed-loop optimization in physical sciences. Active GitHub portfolio showcasing materials informatics or AI-for-science projects. Understanding of structure prediction methods (genetic algorithms, particle swarm, basin hopping) and their limitations.
About Us We are a world-class visitor attraction and leading science research centre. We use the Museum's unique collections and our unrivalled expertise to tackle the biggest challenges facing the world today. We care for more than 80 million objects spanning billions of years and welcome more than five million visitors annually and 16 million visits to our website. Today the Museum is more relevant and influential than ever. By attracting people from a range of backgrounds to work for us, we can continue to look at the world with fresh eyes and find new ways of doing things. We employ 1100 staff in a variety of roles, all united by our vision of a future where people and planet thrive. We need everyone to have the passion and drive to help us with our mission to create advocates for our planet and inspire millions to care about the natural world. Diversity and inclusion matter to us. Our vision is of a future where both people and the planet thrive. Diversity is one of our core values and we strive to build a workplace where everyone feels a sense of belonging. All new staff who join us learn about the importance of diversity and inclusion to the Museum and how to contribute to creating an inclusive environment. We know we have more to do, but we are committed to ensuring that everyone who works at the Museum feels they can thrive and feel valued and respected. About DiSSCo UK The UK's natural science collections, comprising over 140 million items, are a vital global resource holding unique data on Earth's history and natural systems. However, their potential to address critical issues like biodiversity and climate change is limited by physical access and fragmented digitisation efforts, with less than 10% currently available digitally. To unlock this potential, DiSSCo UK (Distributed System of Scientific Collections UK, ) - a consortium of over 90 UK natural science collections led by the Natural History Museum - is developing a national infrastructure as part of the UKRI Infrastructure Roadmap. This 10-year program, expected to receive around £155 million in investment, will focus on digitising a critical mass of collections into FAIR (Findable, Accessible, Interoperable, Reusable) data, supported by robust technology and innovative approaches like AI and robotics. Having already mobilised over 16 million records, DiSSCo UK aims to significantly accelerate digitisation from 2026, creating an unprecedented resource that promises substantial economic returns, efficiency savings for researchers, and groundbreaking research opportunities for a thriving future for both people and planet. About the role As Head of Engineering, you will provide strategic technical leadership for the infrastructure required to deliver the DiSSCo UK programme, working at the intersection of science, data, and large-scale digital services. This is a rare opportunity to shape the national digital platform that will underpin the UK's contribution to DiSSCo and unlock the potential of over 140 million natural science collection items. You will act as the technical authority for platform architecture and underlying infrastructure, leading the design and integration of a secure, sustainable, and scalable ecosystem. This will combine procured cloud-based services, delivered in partnership with AHRC/UKRI and commercial suppliers, with bespoke, mission critical components developed in house. You will own the technical roadmap across built and bought services, ensuring architectural coherence, interoperability and alignment with programme standards. Your focus will be on integrating the full infrastructure: cloud environments, storage solutions, data mobilisation pipelines, publishing workflows and access platforms into a unified national system. You will work closely with the Global Biodiversity Information Facility (GBIF) as the primary access service, acting as a key technical partner in delivering globally discoverable biodiversity data. Based within the Natural History Museum's Digital, Data and Informatics department, you will build and lead a high performing engineering team, providing both technical and people leadership as the programme scales. This role offers the opportunity to influence critical architectural decisions from the ground up and to deliver infrastructure with lasting national and international impact. About you We are looking for an accomplished engineering leader who thrives on delivering complex, high impact digital infrastructure (potentially with a start up or research software background). If you enjoy setting architectural direction, owning technical roadmaps, and guiding large scale platforms from specification to delivery, this is the role for you. You bring experience leading small, high performing engineering teams and working in partnership with programme leadership, external suppliers and managed service providers to turn vision into delivery. You are confident operating as the technical authority within a multi partner programme, making key design decisions, resolving trade offs, and ensuring solutions are secure, scalable and standards compliant. You value collaboration as much as technical excellence. You communicate complex technical concepts with clarity, build credibility with senior stakeholders and multidisciplinary teams, and ensure architectural coherence across diverse organisations and varying levels of technical maturity. Motivated by impact and legacy, you are excited by the opportunity to shape a nationally significant research infrastructure from its formative stages. You enjoy building and developing high performing teams, setting engineering best practice, and delivering robust, user centred solutions that will support the UK research and biodiversity community for years to come. This role could suit a current or former startup CTO, Principal Engineer, or technical founder who has built and scaled digital platforms and teams in complex environments. Thriving at the Museum: the way we work We are proud to work at the Museum and have identified the qualities we all need to embody to reach our shared ambition. This sits alongside the Museum's values and forms the framework for the way we work. Find out more here What we offer 27.5 days holiday plus 8 bank holidays (full time equivalent) Generous defined contribution Natural History Museum Pension Scheme (employer contribution 4 - 10%) Season ticket, bicycle and rental loan Life insurance Free admission to our exhibitions and many other paid exhibitions at museums, galleries and institutions across London and the UK. Staff discount at our Museum shops and cafes We offer a wide variety of training initiatives and opportunities to build skills. Investing in staff development is important to us, and we are ambitious about helping staff to grow and fulfil their potential. Affordable membership to the Civil Service Sports Council which offers a range of benefits including an extensive list of special offers and reduced entry fees at a selection of cinema chains, theme parks, theatres, retailers and supermarkets. It also provides entry to up to 300 English Heritage sites and other national treasures. For more details, visit Membership to our Sports and Social Association (for a small fee), which includes access to our in house gym and clubs such as football, softball, table tennis and tennis and classes in Middle Eastern dance, yoga and Tai Chi Hybrid working We are working towards a vision where both people and planet thrive, and nothing gives a greater connection with this, than seeing first hand, the visitors, scientific research and collections that all of our work is inspired by and working side by side with the teams delivering the visitor experience and events. We also recognise the benefits and flexibility that hybrid working brings. We operate a hybrid working model that requires regular, weekly attendance for this role, with the precise pattern of days on site and worked from home to be agreed with your manager. How to apply If this sounds like you, please apply below by clicking on Apply for job. Please note that as part of our commitment to anonymised shortlisting, panels do not view CVs during the recruitment process. If you choose to upload your CV, our system will automatically pull information from your CV into our application form. We advise you to double check your application form data before submitting as the tool may interpret CVs differently. Please note that this role does not qualify for Museum sponsorship so the successful postholder will need to have a valid right to work in the UK at the point of offer.
Mar 11, 2026
Full time
About Us We are a world-class visitor attraction and leading science research centre. We use the Museum's unique collections and our unrivalled expertise to tackle the biggest challenges facing the world today. We care for more than 80 million objects spanning billions of years and welcome more than five million visitors annually and 16 million visits to our website. Today the Museum is more relevant and influential than ever. By attracting people from a range of backgrounds to work for us, we can continue to look at the world with fresh eyes and find new ways of doing things. We employ 1100 staff in a variety of roles, all united by our vision of a future where people and planet thrive. We need everyone to have the passion and drive to help us with our mission to create advocates for our planet and inspire millions to care about the natural world. Diversity and inclusion matter to us. Our vision is of a future where both people and the planet thrive. Diversity is one of our core values and we strive to build a workplace where everyone feels a sense of belonging. All new staff who join us learn about the importance of diversity and inclusion to the Museum and how to contribute to creating an inclusive environment. We know we have more to do, but we are committed to ensuring that everyone who works at the Museum feels they can thrive and feel valued and respected. About DiSSCo UK The UK's natural science collections, comprising over 140 million items, are a vital global resource holding unique data on Earth's history and natural systems. However, their potential to address critical issues like biodiversity and climate change is limited by physical access and fragmented digitisation efforts, with less than 10% currently available digitally. To unlock this potential, DiSSCo UK (Distributed System of Scientific Collections UK, ) - a consortium of over 90 UK natural science collections led by the Natural History Museum - is developing a national infrastructure as part of the UKRI Infrastructure Roadmap. This 10-year program, expected to receive around £155 million in investment, will focus on digitising a critical mass of collections into FAIR (Findable, Accessible, Interoperable, Reusable) data, supported by robust technology and innovative approaches like AI and robotics. Having already mobilised over 16 million records, DiSSCo UK aims to significantly accelerate digitisation from 2026, creating an unprecedented resource that promises substantial economic returns, efficiency savings for researchers, and groundbreaking research opportunities for a thriving future for both people and planet. About the role As Head of Engineering, you will provide strategic technical leadership for the infrastructure required to deliver the DiSSCo UK programme, working at the intersection of science, data, and large-scale digital services. This is a rare opportunity to shape the national digital platform that will underpin the UK's contribution to DiSSCo and unlock the potential of over 140 million natural science collection items. You will act as the technical authority for platform architecture and underlying infrastructure, leading the design and integration of a secure, sustainable, and scalable ecosystem. This will combine procured cloud-based services, delivered in partnership with AHRC/UKRI and commercial suppliers, with bespoke, mission critical components developed in house. You will own the technical roadmap across built and bought services, ensuring architectural coherence, interoperability and alignment with programme standards. Your focus will be on integrating the full infrastructure: cloud environments, storage solutions, data mobilisation pipelines, publishing workflows and access platforms into a unified national system. You will work closely with the Global Biodiversity Information Facility (GBIF) as the primary access service, acting as a key technical partner in delivering globally discoverable biodiversity data. Based within the Natural History Museum's Digital, Data and Informatics department, you will build and lead a high performing engineering team, providing both technical and people leadership as the programme scales. This role offers the opportunity to influence critical architectural decisions from the ground up and to deliver infrastructure with lasting national and international impact. About you We are looking for an accomplished engineering leader who thrives on delivering complex, high impact digital infrastructure (potentially with a start up or research software background). If you enjoy setting architectural direction, owning technical roadmaps, and guiding large scale platforms from specification to delivery, this is the role for you. You bring experience leading small, high performing engineering teams and working in partnership with programme leadership, external suppliers and managed service providers to turn vision into delivery. You are confident operating as the technical authority within a multi partner programme, making key design decisions, resolving trade offs, and ensuring solutions are secure, scalable and standards compliant. You value collaboration as much as technical excellence. You communicate complex technical concepts with clarity, build credibility with senior stakeholders and multidisciplinary teams, and ensure architectural coherence across diverse organisations and varying levels of technical maturity. Motivated by impact and legacy, you are excited by the opportunity to shape a nationally significant research infrastructure from its formative stages. You enjoy building and developing high performing teams, setting engineering best practice, and delivering robust, user centred solutions that will support the UK research and biodiversity community for years to come. This role could suit a current or former startup CTO, Principal Engineer, or technical founder who has built and scaled digital platforms and teams in complex environments. Thriving at the Museum: the way we work We are proud to work at the Museum and have identified the qualities we all need to embody to reach our shared ambition. This sits alongside the Museum's values and forms the framework for the way we work. Find out more here What we offer 27.5 days holiday plus 8 bank holidays (full time equivalent) Generous defined contribution Natural History Museum Pension Scheme (employer contribution 4 - 10%) Season ticket, bicycle and rental loan Life insurance Free admission to our exhibitions and many other paid exhibitions at museums, galleries and institutions across London and the UK. Staff discount at our Museum shops and cafes We offer a wide variety of training initiatives and opportunities to build skills. Investing in staff development is important to us, and we are ambitious about helping staff to grow and fulfil their potential. Affordable membership to the Civil Service Sports Council which offers a range of benefits including an extensive list of special offers and reduced entry fees at a selection of cinema chains, theme parks, theatres, retailers and supermarkets. It also provides entry to up to 300 English Heritage sites and other national treasures. For more details, visit Membership to our Sports and Social Association (for a small fee), which includes access to our in house gym and clubs such as football, softball, table tennis and tennis and classes in Middle Eastern dance, yoga and Tai Chi Hybrid working We are working towards a vision where both people and planet thrive, and nothing gives a greater connection with this, than seeing first hand, the visitors, scientific research and collections that all of our work is inspired by and working side by side with the teams delivering the visitor experience and events. We also recognise the benefits and flexibility that hybrid working brings. We operate a hybrid working model that requires regular, weekly attendance for this role, with the precise pattern of days on site and worked from home to be agreed with your manager. How to apply If this sounds like you, please apply below by clicking on Apply for job. Please note that as part of our commitment to anonymised shortlisting, panels do not view CVs during the recruitment process. If you choose to upload your CV, our system will automatically pull information from your CV into our application form. We advise you to double check your application form data before submitting as the tool may interpret CVs differently. Please note that this role does not qualify for Museum sponsorship so the successful postholder will need to have a valid right to work in the UK at the point of offer.
About Unilabs Unilabs is one of Europe's largest diagnostic providers, offering laboratory, imaging, and pathology services. Through our CARE BIG philosophy, we aim to advance diagnostic expertise globally, supporting clinicians and patients with timely, high quality results. This role is based in Unilabs UK, supporting Tissue Sciences, Blood Sciences, and Infection Sciences, at sites in Euston and Cavendish Street, London. Laboratories are fully computerised and UKAS ISO15189:2022 accredited, with established training programmes and regulatory compliance. Job Summary Reporting to the Operations Director, the post holder will lead the Health & Safety (H&S) and Training Management Systems across the laboratory, supporting operational and service managers. This includes: Coordinating and recording all internal and external H&S activities and inspections. Setting objectives and supporting staff in H&S and training processes. Ensuring compliance with IBMS, HCPC, ISO 15189:2022, HSE, HTA, and MHRA standards. Leading the continuous improvement of H&S and training processes. Key Relationships Works closely with: Biomedical Scientists (BMS) Quality Manager & Quality Leads H&S and Training Leads Operational and Service Managers Laboratory staff across all levels Duties & Responsibilities Health & Safety Lead H&S implementation and system development across departments. Support H&S leads and oversee scheduled H&S activities and audits (e.g., spillage drills, DSE, ergonomics). Maintain up-to-date risk assessments, COSHH, and personal evacuation processes (PEEP). Coordinate and record external regulatory inspections. Chair H&S meetings, ensuring accurate minutes and timely follow up actions. Contribute to global H&S initiatives and annual management reviews. Training Support and develop Training Leads; coordinate induction, education, and professional development. Monitor training performance and oversee H&S components of staff induction. Chair monthly Training & H&S meetings; ensure accurate records and follow up. Maintain departmental training policies, competency assessments, and IBMS portfolios. Ensure alignment with HCPC registration requirements and CPD activities. Performance & Management Maintain high standards of work and service efficiency. Support Operations and Service Managers to meet laboratory TATs. Conduct staff appraisals and performance reviews. Develop SOPs and working practices, supporting change management initiatives. Ensure compliance with internal/external quality assurance and accreditation schemes. Laboratory Informatics Ensure safe, secure, and confidential processing of patient and laboratory information. Use LIMS according to authorised protocols, maintaining database integrity. Communication & Relationship Skills Demonstrate courtesy, sensitivity, and professionalism with staff, patients, and service users. Promote good practice and teamwork across departments. Contribute to departmental meetings and communications effectively. Essential: BSc (Hons) Biomedical Science or equivalent MSc Biomedical Science or related subject IBMS Membership / Chartered Scientist HCPC Registration Evidence of continuing professional development IOSH qualification Desirable: Postgraduate management qualification or higher technical qualification NEBOSH qualification Experience Essential: Minimum 5 years' experience as Senior BMS / Training Officer IBMS Verifier and Examiner for registration / specialist portfolio Skills & Abilities Autonomous workload management and problem solving Highly specialised scientific knowledge Staff development and motivation Project management and H&S / Training system leadership Organisation, supervision, and deadline achievement Accuracy, attention to detail, and ability to handle complex information Competence in Microsoft Word, Excel, and Q pulse Desirable: Handling difficult situations and sensitive matters Empathy with patients and staff Communication Skills Effective listening and verbal/written communication Ability to work within multi disciplinary teams GDPR compliance Other Requirements Maintain patient confidentiality Responsible, mature approach Able to perform light physical work
Jan 21, 2026
Full time
About Unilabs Unilabs is one of Europe's largest diagnostic providers, offering laboratory, imaging, and pathology services. Through our CARE BIG philosophy, we aim to advance diagnostic expertise globally, supporting clinicians and patients with timely, high quality results. This role is based in Unilabs UK, supporting Tissue Sciences, Blood Sciences, and Infection Sciences, at sites in Euston and Cavendish Street, London. Laboratories are fully computerised and UKAS ISO15189:2022 accredited, with established training programmes and regulatory compliance. Job Summary Reporting to the Operations Director, the post holder will lead the Health & Safety (H&S) and Training Management Systems across the laboratory, supporting operational and service managers. This includes: Coordinating and recording all internal and external H&S activities and inspections. Setting objectives and supporting staff in H&S and training processes. Ensuring compliance with IBMS, HCPC, ISO 15189:2022, HSE, HTA, and MHRA standards. Leading the continuous improvement of H&S and training processes. Key Relationships Works closely with: Biomedical Scientists (BMS) Quality Manager & Quality Leads H&S and Training Leads Operational and Service Managers Laboratory staff across all levels Duties & Responsibilities Health & Safety Lead H&S implementation and system development across departments. Support H&S leads and oversee scheduled H&S activities and audits (e.g., spillage drills, DSE, ergonomics). Maintain up-to-date risk assessments, COSHH, and personal evacuation processes (PEEP). Coordinate and record external regulatory inspections. Chair H&S meetings, ensuring accurate minutes and timely follow up actions. Contribute to global H&S initiatives and annual management reviews. Training Support and develop Training Leads; coordinate induction, education, and professional development. Monitor training performance and oversee H&S components of staff induction. Chair monthly Training & H&S meetings; ensure accurate records and follow up. Maintain departmental training policies, competency assessments, and IBMS portfolios. Ensure alignment with HCPC registration requirements and CPD activities. Performance & Management Maintain high standards of work and service efficiency. Support Operations and Service Managers to meet laboratory TATs. Conduct staff appraisals and performance reviews. Develop SOPs and working practices, supporting change management initiatives. Ensure compliance with internal/external quality assurance and accreditation schemes. Laboratory Informatics Ensure safe, secure, and confidential processing of patient and laboratory information. Use LIMS according to authorised protocols, maintaining database integrity. Communication & Relationship Skills Demonstrate courtesy, sensitivity, and professionalism with staff, patients, and service users. Promote good practice and teamwork across departments. Contribute to departmental meetings and communications effectively. Essential: BSc (Hons) Biomedical Science or equivalent MSc Biomedical Science or related subject IBMS Membership / Chartered Scientist HCPC Registration Evidence of continuing professional development IOSH qualification Desirable: Postgraduate management qualification or higher technical qualification NEBOSH qualification Experience Essential: Minimum 5 years' experience as Senior BMS / Training Officer IBMS Verifier and Examiner for registration / specialist portfolio Skills & Abilities Autonomous workload management and problem solving Highly specialised scientific knowledge Staff development and motivation Project management and H&S / Training system leadership Organisation, supervision, and deadline achievement Accuracy, attention to detail, and ability to handle complex information Competence in Microsoft Word, Excel, and Q pulse Desirable: Handling difficult situations and sensitive matters Empathy with patients and staff Communication Skills Effective listening and verbal/written communication Ability to work within multi disciplinary teams GDPR compliance Other Requirements Maintain patient confidentiality Responsible, mature approach Able to perform light physical work