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A leading science research centre in the UK is seeking a Head of Engineering to provide strategic technical leadership for a significant digital infrastructure programme. The role involves designing scalable systems and leading a high-performing team to realize national biodiversity goals. Ideal candidates will have experience in engineering leadership and cloud services, with a focus on collaboration and impactful delivery. This position offers flexibility with a hybrid working model and competitive benefits.

# Our Privacy Statement & Cookie Policy Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters. We are focused on research and development, with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs). We are building a strong foundation of research capabilities across different areas and are looking for scientists who participate in designing, coding, conducting experiments, translating findings into concrete deliverables and engaging with the academic community. Our focus areas are: LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Alignment, Distributed Training, Efficient ML techniques) Post-training techniques for planning, reasoning & complex workflows (e.g., Reasoning Models, LLMs + Knowledge Graphs, Test time compute, CoT pipelines, Tool use & API calling, etc.) Data-centric Machine Learning (Synthetic Data, Curriculum Learning, Learned datamixtures, etc.) Evaluation (Benchmarks, Human-in-the-loop, red teaming/Adversarial Testing, Hallucination detection, )We work collaboratively both with TR Labs (TR's applied research division), academic partners at world-leading research institutions and subject matter experts with decades of experience. We experiment, prototype, test, and deliver ideas in the pursuit of smarter and more valuable models trained on an unprecedented wealth of data and powered by stateof-the-art technical infrastructure. Through our unique institutional experience, we have access to an unprecedented number of subject matter experts involved in data collection, testing and evaluation of trained models. As a Research Scientist, you will play a key part in a diverse global team of experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company's leading internal AI model development. You will have the opportunity to publish your research findings as well as contribute to our proprietary AI model research & development. Thomson Reuters Labs is known for consistently delivering successful data- driven ML solutions in pursuit of academic excellence and support of high-growth products that serve Thomson Reuters customers in new and exciting ways. About the role In this opportunity, as a Research Scientist you will: Innovate: You will innovate and create new state-of-the-art Agent AI/LLM Agent approaches at the cutting edge of AI research. You will contribute ideas and work on solving real-world challenges using a wealth of data in agentic contexts. Experiment and Develop: You are involved in the entire research & model development lifecycle, brainstorming, coding, testing, and delivering high-quality reports at leading international academic conferences. Collaborate: Working on a collaborative global team of research engineers both within Thomson Reuters and our academic patterns at world-leading universities. Communicate: Actively engage in sharing our technical findings with the wider community through contributions to seminars, lectures, conferences and/or the sharing of publications and/or technical assets (data & models). About you You're a fit for the role if your background includes: Required qualifications: Completed or in the process of obtaining PhD in a relevant discipline. First-author publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, ICLR) with specific focus on agent systems, tool use, or multi-agent coordination Familiarity with one or more deep learning frameworks (e.g. pytorch, jax, tensorflow, ) Excellent communication skills to report and present research findings and developments clearly, both orally and in writing. Curious and innovative disposition capable of devising novel, well-founded algorithmic solutions to relevant problems. Self-driven attitude and ability of working with limited supervision. Comfortable in working in fast-paced, agile environments, managing uncertainty and ambiguity Preferred qualifications : High-impact publications in top-tier conferences or other influence in the research community. Experience in ML Research beyond completing a PhD (e.g. supervision, industry experience, leading academic initiatives, ). Extensive experience with deep learning frameworks and large-scale model training. Extensive experience working on agent-based systems, tool-using AI, or multi-agent coordination in LLM contexts (e.g. startup, industry, or extensive open-source experience). Strong software and/or infrastructure engineering skills and ensuring well-managed software delivery, as evidenced by code contributions to popular open-source libraries or writing production code. Experience training large-scale models over distributed nodes with cloud tools and providers such as Amazon AWS, MS Azure, LambdaLabs or Google Cloud. You will enjoy: Learning and development: On-the-job coaching and learning as well as the opportunity to work with cutting-edge methods and technologies. Plenty of data, compute, and high-impact problems: Our scientists and engineers get to explore large datasets and discover new capabilities and insights. Thomson Reuters is best known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate, and tax & accounting professionals. We have over 60,000 TBs worth of legal, regulatory, news, and tax data. We also provide access to all major cloud computing platforms to our researchers and engineers. Competitive compensation & benefits packages: The opportunity to earn while learning new skills Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.Thomson Reuters informs the way forward by bringing together

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.

Title:Cloud Engineer Azure Department:Procode IT Location:Remote working (Commutable distance of our Chandlers Ford office) Salary:Circa £64,418 + Up to15% discretionary bonus scheme Sponsorship:Unfortunately, we are unable to offer sponsorship for this role Are you ready to architect the future of cloud infrastructure? Can you turn complex Azure environments into seamless, scalable solutions? Are you w click apply for full job details

Interested in training and evaluating large-scale LLMs (>200B) in a frontier research team focused on AI impact in high-stakes domains? Thomson Reuters Foundational Research gives you the opportunity to research & publish on a wide range of topics in AI research while gaining experience working at in a data- & compute-rich environment focused on solving real world economically impactful problems. You will join a collaborative team that values intellectual curiosity, innovative thinking, and combines the strengths of industrial resources with an academic mindset focused on advancing science. About the Role We are seeking PhD Research Scientist Interns with flexible starting dates throughout the year in our London, Toronto & Zug locations. During your internship, you will focus on publishing high-quality research in top venues for Machine Learning & NLP while advancing our internal model development. We also value our deep academic connections, are open to involving academic advisors & collaborators. Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters. We are focused on research and development, with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs). We are building a strong foundation of research capabilities across different areas and are looking for interns who participate in designing, coding, conducting experiments, translating findings into concrete deliverables and engaging with the academic community. Our focus areas are: LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Algorithms & Infrastructure, Alignment, Distributed Training, ) Post training techniques for planning & reasoning (e.g. Agentic pipelines & tool use, LLMs & Knowledge Graphs, Self reflection & critique, CoT & Reasoning, RAG, ) Data centric Machine Learning (Synthetic & Hybrid Data generation, Curriculum Learning, learned data mixtures, ) Evaluation (Benchmark design, Red teaming/Adversarial Testing, Hallucination detection & Factuality, Human in the loop testing, ) We work collaboratively with academic partners at world leading research institutions (such as our joint academic lab with Imperial College London) and subject matter experts with decades of experience. We experiment, prototype, test, and deliver ideas in the pursuit of smarter and more valuable models trained on an unprecedented wealth of data and powered by state of the art technical infrastructure. Through our unique institutional experience, we have access to an unprecedented number of subject matter experts involved in data collection, testing, and evaluation of trained models. As a Research Scientist Intern, you will work alongside and learn from a diverse global team of experts. We hire world leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company's leading internal AI model development. You will have the opportunity to publish your research findings as well as contribute to our proprietary AI model research & development. Thomson Reuters is known for consistently delivering successful data driven ML solutions in pursuit of academic excellence and support of high growth products that serve Thomson Reuters customers in new and exciting ways. The internship duration at Thomson Reuters Labs is typically 4 to 6 months and may be aligned with one or two academic semesters or depending upon your availability. Responsibilities Innovate: You will have the opportunity to innovate and create new state of the art ML/NLP/IR/GenAI approaches at the cutting edge of AI research. You will work closely with a Research Scientist to contribute ideas and work on solving real world challenges using a wealth of data. Experiment and Develop: You are involved in the entire research & model development lifecycle, brainstorming, coding, testing, and delivering high quality reports at leading international academic conferences. Collaborate: Working on a collaborative global team of researchers & engineers both within Thomson Reuters and our academic partners at world leading universities. Communicate: Actively engage in sharing our technical findings with the wider community through contributions to seminars, lectures, conferences and/or the sharing of publications and/or technical assets (data & models). About You You're a fit for the role if your background includes: PhD student or recent graduate with research experience in a relevant discipline. Publications in top tier conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, ICLR). Familiarity with a deep learning framework (e.g. PyTorch, JAX, TensorFlow, ) Excellent communication skills to report and present research findings and developments clearly, both orally and in writing. Curious and innovative disposition capable of devising novel, well founded algorithmic solutions to relevant problems. Preferred Qualifications Experience working on at least one relevant state of the art research topic (see our focus areas) in large language models (LLMs). Influential first author publications top tier venues. Impactful open source contributions. Strong software and/or infrastructure engineering skills with supporting evidence. Experience training large scale models over distributed nodes with cloud tools such as Amazon AWS, MS Azure, or Google Cloud. Benefits Learning and development: On the job coaching, mentorship and learning from a world leading researcher as well as the opportunity to work with cutting edge methods and technologies. Plenty of data, compute, and high impact problems: Our interns get to explore large datasets and discover new capabilities and insights. Thomson Reuters is best known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate, and tax & accounting professionals. We have over 60,000 TB of legal, regulatory, news, and tax data. We also provide access to all major cloud computing platforms to our researchers and engineers. Competitive compensation: The opportunity to earn while learning new skills. Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real world solutions. Our Grow My Way programming and skills first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award winning reputation for inclusion and belonging, flexibility, work life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. Equal Employment Opportunity As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented . click apply for full job details

Location: UK - Hatfield, UK - Birmingham, UK - Edinburgh, UK - London, UK - Manchester, UK - Milton Keynes, UK - Nottingham, UK - Reading Job-ID: 217248 Contract type: Standard Business Unit: IT Consulting Life on the team You'll be part of our dynamic and rapidly growing Consultancy Practice, working alongside a team of highly skilled consultants who are passionate about delivering exceptional outcomes for customers. This is a senior, client-facing role where you'll collaborate with architects, engineers, and delivery teams to design and deliver complex Microsoft 365 solutions. You'll also play a key role in pre-sales engagements, shaping solutions, and influencing strategic decisions for our customers. At Computacenter, we invest heavily in continuous learning, professional development, and emerging technologies, ensuring you remain at the forefront of the modern workplace landscape. What you'll do Lead customer engagements, analysing requirements and recommending innovative Microsoft 365 solutions Act as a Subject Matter Expert in pre-sales, supporting opportunity qualification and solution design Design and deliver complex Microsoft 365 collaboration and identity solutions across enterprise environments Present and validate solution approaches with senior customer stakeholders Guide and mentor junior consultants and engineers across project engagements Work collaboratively across teams to ensure successful delivery and transition into support Build strong relationships with customers and internal stakeholders across the business Stay ahead of industry trends, technologies, and best practices What you'll need Extensive experience across Microsoft 365 Collaboration Services including Exchange Online, SharePoint Online, Teams, and OneDrive Strong expertise in Microsoft Purview and information governance capabilities Solid experience with Identity Services including Active Directory, Entra ID, Single Sign-On, and Identity Governance Proven track record designing and delivering complex enterprise cloud solutions Experience leading technical pre-sales engagements and solution design Excellent communication and presentation skills, with the ability to influence senior stakeholders Ability to lead and coordinate large virtual technical teams Relevant technical certifications or equivalent industry experience If you're passionate about modern workplace transformation and enterprise cloud collaboration, this is a fantastic opportunity to make a real impact while working with cutting-edge technologies. About us We are a leading independent technology and services provider, trusted by large corporate and public sector organisations. We are a responsible business that believes in winning together for our people and our planet. We help our customers to source, transform and manage their technology infrastructure to deliver digital transformation, enabling people and their business. Our business may be about technology, but first of all it's about people With over 20,000 people across 22 countries, we are proud of our inclusive culture - where everyone can thrive, feel valued, and truly belong. As an equal opportunities employer, we're committed to ensuring fair and equal access to opportunities for all. Your application will be considered on its merits, regardless of your age, disability, ethnicity, gender identity, or any other characteristics protected by law. What matters most to us is that you share our vision and values, and bring the experience and skills we're looking for. We are proud to be a Disability Confident Employer. We welcome applications from disabled people and accept applications in alternative formats. We also guarantee to interview applicants who have a disability. If you share our values and want to make a meaningful impact in a supportive, forward-thinking environment - we'd love to hear from you!

Competitive executive-level salary, performance-based incentives, excellent benefits package London Executive Leadership International Scope Competitive Executive - level reward package HomeServe Finance, part of the internationally recognised HomeServe EMEA group, is seeking a Chief Technology Officer (CTO) to lead the next phase of growth for our regulated financial services platform. The Opportunity As CTO, you will be a member of the Executive Leadership Team, reporting directly to the CEO. You will define and deliver the technology vision for a growing, regulated financial services business operating across Europe. You will be accountable for ensuring our platforms, engineering practices and security capabilities support sustainable growth, regulatory compliance and continuous improvement across multiple markets. Technology is central to our competitive advantage. This role combines strategic leadership with hands on executive ownership, and close partnership with Commercial, Compliance, Credit Risk, Finance and Operations teams. Key Responsibilities As Chief Technology Officer, you will: Set and lead an enterprise wide technology strategy and roadmap aligned to business objectives Represent technology at Executive, Board and Group forums, communicating clearly with a wide range of stakeholders Build, scale and operate secure, cloud native, multi market platforms Lead engineering, DevOps, security and data teams across multiple European locations Establish clear governance, delivery standards and ownership across systems and services Balance innovation, speed and risk through effective architectural and delivery oversight Ensure strong regulatory and operational resilience outcomes across frameworks such as FCA, GDPR, ISO 27001, SOC 2, DORA or equivalent Own technology risk, resilience and disaster recovery planning Manage technology investment, budgets, vendors and third party delivery partners Work in partnership with Commercial, Risk, Compliance, Credit Risk, Finance and Operations leaders to design and deliver digital lending and embedded finance solutions What Success Looks Like Success in this role will include: Delivery of a scalable, secure and resilient technology platform that supports growth across markets Strong regulatory and audit outcomes Predictable, high quality engineering delivery and system reliability Clearly documented technology risk, resilience and disaster recovery capabilities A motivated, engaged and inclusive technology organisation with strong leadership depth Technology enabled innovation that delivers measurable improvements in efficiency, cost to serve or customer experience Location & Scope Based primarily in our London office (Holborn) minimum 2 days per week Regular travel across the UK and Europe Responsibility for engineering and digital product teams across multiple markets Why Join Us Performance related incentives Executive benefits including car or car allowance, 10% matched pension, family private medical insurance and a comprehensive suite of additional benefits Opportunity to shape a high growth, investor backed European financial services platform Direct impact on digital transformation and sustainable home finance About You We are looking for an accomplished technology executive with: 15+ years' technology experience, including 5+ years at C level or equivalent Bachelors or Masters in Computer Science, Information Systems, Engineering or related discipline A proven record of defining and delivering technology strategy in regulated financial services, fintech or lending environments Deep expertise in scalable, cloud native architectures and modern engineering practices Strong understanding of European regulatory environments, information security and operational resilience Experience implementing and governing major compliance frameworks including SOC 2 and ISO 27001 Demonstrated success building and leading high performing, multinational technology organisations Experience governing third party technology vendors and outsourced development partners Experience setting AI and data strategy and translating it into measurable business outcomes The presence and credibility to influence at Board, Group and investor level A hands on, pragmatic leadership style, comfortable balancing strategic priorities with operational detail Experience delivering multi market financial services or fintech platforms across Europe is advantageous, but we welcome candidates with transferable experience from adjacent sectors. What Success Looks Like Success in this role will be defined by: Delivery of a scalable, secure and resilient technology platform that supports rapid growth Strong regulatory and audit outcomes with no material control failures Predictable, high quality engineering delivery and system reliability Clearly documented technology risk, resilience and disaster recovery capabilities A high performing, engaged technology organisation with strong leadership depth Technology enabled business innovation and measurable improvement in efficiency, cost to serve or customer experience About Us Backed by Brookfield Infrastructure and operating across multiple European markets, we are building a secure, scalable and customer focused financial services platform that supports our ambition to become Europe's most trusted home efficiency partner. This is an opportunity for an experienced technology leader to shape strategy, strengthen resilience and enable innovation at scale - working collaboratively across the business and with Group and investor stakeholders. Our Leadership Commitment We seek leaders who demonstrate integrity, courage and accountability, who value collaboration, openness and ethical decision making, and who are committed to building inclusive, high performing teams. We welcome applications from candidates of all backgrounds and are committed to creating a diverse and inclusive workplace. If you require any adjustments or support during the recruitment process, please let us know. Competitive executive-level salary, performance-based incentives, excellent benefits package

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 ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human like AI voice model. Today, we serve millions of users and thousands of businesses - from fast growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don't have job titles. Instead, it's about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher-quality results. We do this across the whole company-from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our AI models. Global team: We prioritize your talent, not your location. What we offer Innovative culture: You'll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what's possible. Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. Co-working: If you're not located near one of our main hubs, we offer a monthly co-working stipend. About the role We're looking for an experienced AI Safety Engineer to drive the deployment and operationalization of automated moderation and guardrail systems that protect our platform and users across a multimodal space. You'll work alongside a team of ML and full stack engineers to build production-grade safety infrastructure from the ground up. This is a product ownership role where you'll be responsible for end-to-end technical execution of our safety systems, from architecture to deployment and monitoring. You'll bridge the gap between ML research and production-grade systems, ensuring our safety infrastructure is robust, observable, and scalable. What you'll do: Design and build scalable backend infrastructure for content moderation, abuse detection and agents guardrails, deploying AI/ML models into production systems Architect robust APIs, data pipelines, and service architectures supporting real-time and batch moderation workflows Implement comprehensive monitoring, alerting, and observability systems; establish SLIs, SLOs, and performance benchmarks Partner with ML engineers to translate research models into production-ready systems and integrate them across our product suite Drive technical decisions and contribute vision to the safety roadmap on how the next generation of platform guardrails should be built for scale and precision. Requirements 6+ years of backend software engineering experience building production systems at scale Strong production backend experience: distributed systems, APIs, data pipelines, and Python expertise (asynchronous Python, backend frameworks) Infrastructure & DevOps proficiency: cloud platforms (AWS/GCP), containerization (Docker/K8s), CI/CD pipelines Observability mindset with experience in monitoring tools (Prometheus, Grafana) and building observable systems Track record of taking products or systems from 0 1 with measurable impact, including deploying or working alongside ML/AI systems in production Bonus: Trust & Safety, Content Moderation, or Integrity engineering experience MLOps experience: deployment, monitoring, and versioning of ML models Experience with SQL, data analysis tools, real-time streaming systems (Kafka, Redis), or event-driven architectures Familiarity with React or modern frontend frameworks Location This role is remote and can be executed globally. If you prefer, you can work from our offices in Bangalore, Dublin, London, New York, San Francisco, Tokyo, and Warsaw.