Want to be a part of a company that's making a difference? We're a growing global tech company, with huge potential for curious and caring minds, committed to each other, to deliver solutions that protect people and the planet for future generations. Our team of experts are focused on creating meaningful impact and making a real difference for our customers. Impact: A strong connection to our mission through product, customer and impact is essential. We protect people and the planet by helping businesses mitigate risks and create safer, healthier workplaces. Innovation: Trusted by over 11,000 customers, you'll have the chance to work with industry experts and thought leaders, dedicated to driving positive change. We believe in fostering a trusting environment that empowers our team to grow, innovate, and succeed. Growth: Connect commercial growth to personal growth opportunities. Benefit from a wide range of learning opportunities for ambitious professionals seeking development in a rapidly expanding sector. We're on a mission to protect people and the planet by building and deploying transformative software. We need everyone's energy and commitment, regardless of region or rank, to make that mission a reality for millions more customers. Our culture code, a set of principles that underpins our values, is our commitment to each other and working better together. Join EcoOnline and be part of a mission dedicated to driving positive change. Read on to learn more about the opportunity and how you can have a positive impact! About the Role The Data Insights Team brings together a unique blend of capabilities across EcoOnline. It spans "front end" report developers and analysts within our Analytics Pillar, "back end" data model and ingestion engineers within our Engineering Pillar, and a projects and interface manager embedded in our newly formed Projects, Integration, and Governance Pillar. As a relatively new, centralised team-bringing together talent from across the business-we're building the foundations for how EcoOnline uses data to make decisions. Our ambition is to deliver a trusted, standardised suite of dashboards and reports that leaders and teams can confidently rely on, while also enabling a scalable self service reporting model that puts insights into more hands, faster. Crucially, we're doing this with governance at the core: striking the right balance between speed and agility on the one hand, and accuracy, data quality, and security on the other. The result is a data ecosystem that empowers the business without compromising trust. Key Responsibilities Responsible for delivering and maintaining a portfolio of dashboards and key reports across multiple business areas, supporting several teams simultaneously in collaboration with the Business Intelligence Lead. Accountable for capturing and understanding requirements in a timely fashion. Communicating timelines and expectations for delivery on an ongoing basis with stakeholders. Communicating requirements to the engineering team for development of database tables / views. Ensure data integrity and quality by defining and applying validation checks, reconciling data issues, and implementing data governance practices. Stay up to date with BI and analytics trends, tools, and techniques to propose and drive improvements in best practices for BI, documentation, testing, and team processes. What we're looking for Proven track record building highly interactive, stakeholder driven dashboards - able to translate business needs into meaningful reports by challenging assumptions and aligning insights to the underlying data. 2+ years experience working with Power BI and DAX. 2+ years experience working with SQL, preferably T SQL. Advanced Excel skills (knowledgeable using formulas, pivot tables, troubleshooting formulas, and optimizing performance of workbooks). Salesforce Sales Cloud experience, preferably with CPQ. Microsoft ERP experience, preferably with Finance and Operations (F&O) or Microsoft Dynamics AX. Our Benefits We offer a variety of global benefits which are listed below! Please note a country specific breakdown will be provided during your interview process. Generous Paid Time Off Extended Parental Leave ️ Robust Health Coverage Accelerated Learning Paths ️Team Wellness Initiatives Company wide Events Employee Resource Groups ️ Recognition awards Equal Opportunity & Accessibility EcoOnline is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment where everyone feels safe and empowered to be themselves. Our Talent Acquisition team reviews all applications and believes in the potential of individuals who may not meet all the specific requirements but demonstrate the attitude, alignment with our values and drive to succeed. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need any assistance due to a disability, please speak to your talent acquisition partner.
Mar 01, 2026
Full time
Want to be a part of a company that's making a difference? We're a growing global tech company, with huge potential for curious and caring minds, committed to each other, to deliver solutions that protect people and the planet for future generations. Our team of experts are focused on creating meaningful impact and making a real difference for our customers. Impact: A strong connection to our mission through product, customer and impact is essential. We protect people and the planet by helping businesses mitigate risks and create safer, healthier workplaces. Innovation: Trusted by over 11,000 customers, you'll have the chance to work with industry experts and thought leaders, dedicated to driving positive change. We believe in fostering a trusting environment that empowers our team to grow, innovate, and succeed. Growth: Connect commercial growth to personal growth opportunities. Benefit from a wide range of learning opportunities for ambitious professionals seeking development in a rapidly expanding sector. We're on a mission to protect people and the planet by building and deploying transformative software. We need everyone's energy and commitment, regardless of region or rank, to make that mission a reality for millions more customers. Our culture code, a set of principles that underpins our values, is our commitment to each other and working better together. Join EcoOnline and be part of a mission dedicated to driving positive change. Read on to learn more about the opportunity and how you can have a positive impact! About the Role The Data Insights Team brings together a unique blend of capabilities across EcoOnline. It spans "front end" report developers and analysts within our Analytics Pillar, "back end" data model and ingestion engineers within our Engineering Pillar, and a projects and interface manager embedded in our newly formed Projects, Integration, and Governance Pillar. As a relatively new, centralised team-bringing together talent from across the business-we're building the foundations for how EcoOnline uses data to make decisions. Our ambition is to deliver a trusted, standardised suite of dashboards and reports that leaders and teams can confidently rely on, while also enabling a scalable self service reporting model that puts insights into more hands, faster. Crucially, we're doing this with governance at the core: striking the right balance between speed and agility on the one hand, and accuracy, data quality, and security on the other. The result is a data ecosystem that empowers the business without compromising trust. Key Responsibilities Responsible for delivering and maintaining a portfolio of dashboards and key reports across multiple business areas, supporting several teams simultaneously in collaboration with the Business Intelligence Lead. Accountable for capturing and understanding requirements in a timely fashion. Communicating timelines and expectations for delivery on an ongoing basis with stakeholders. Communicating requirements to the engineering team for development of database tables / views. Ensure data integrity and quality by defining and applying validation checks, reconciling data issues, and implementing data governance practices. Stay up to date with BI and analytics trends, tools, and techniques to propose and drive improvements in best practices for BI, documentation, testing, and team processes. What we're looking for Proven track record building highly interactive, stakeholder driven dashboards - able to translate business needs into meaningful reports by challenging assumptions and aligning insights to the underlying data. 2+ years experience working with Power BI and DAX. 2+ years experience working with SQL, preferably T SQL. Advanced Excel skills (knowledgeable using formulas, pivot tables, troubleshooting formulas, and optimizing performance of workbooks). Salesforce Sales Cloud experience, preferably with CPQ. Microsoft ERP experience, preferably with Finance and Operations (F&O) or Microsoft Dynamics AX. Our Benefits We offer a variety of global benefits which are listed below! Please note a country specific breakdown will be provided during your interview process. Generous Paid Time Off Extended Parental Leave ️ Robust Health Coverage Accelerated Learning Paths ️Team Wellness Initiatives Company wide Events Employee Resource Groups ️ Recognition awards Equal Opportunity & Accessibility EcoOnline is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment where everyone feels safe and empowered to be themselves. Our Talent Acquisition team reviews all applications and believes in the potential of individuals who may not meet all the specific requirements but demonstrate the attitude, alignment with our values and drive to succeed. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need any assistance due to a disability, please speak to your talent acquisition partner.
Job Description Job Title: Facility Commissioning Engineer - Submarines Working location: Raynesway, Derby Why Rolls-Royce? Rolls-Royce is one of the most enduring and iconic brands in the world and has been at the forefront of innovation for over a century. We design, build and service systems that provide critical power to customers where safety and reliability are paramount. We are proud to be a force for progress, powering, protecting and connecting people everywhere. We want to ensure that the excellence and ingenuity that has shaped our history continues into our future and we need people like you to come and join us on this journey. We'll provide an environment of caring and belonging where you can be yourself. An inclusive, innovative culture that invests in you, gives you access to an incredible breadth and depth of opportunities where you can grow your career and make a difference. Defines, plans, coordinates, authors procedures for, executes, and reports on test and commissioning activities to support verification & validation of safety and environmental, product/process qualification and design requirements in accordance with Safety Cases and Environmental Permits. What we offer: We offer excellent development opportunities, a competitive salary, and exceptional benefits. These include bonus, employee support assistance and employee discounts. What you will be doing: Application (through awareness or supervision) of principles relating to safety related commissioning, including organisational design, commissioning strategy and logic, procedural control, plant status control, control of contractors, permit to work systems etc. Design and/or operational supervision of clear, unambiguous and manageable commissioning test instructions/procedures. Undertaking risk assessments and other relevant safety documentation to ensure safe and compliant commissioning of systems and equipment. Providing Intelligent Customer oversight to supplier/contractor activities to ensure compliance with requirements and nuclear regulations, legislation and codes and standards. Managing and coordinating temporary modifications to facilities, buildings, plant, equipment and/or processes to enable execution of commissioning activities accordance with Nuclear/Authorised Licensed Site commissioning processes. Coordinating effective handover of plant & equipment, documentation and records from construction/installation responsible person(s). Management and control of commissioning documentation and evidence to support safety case substantiation of functional engineered safety claims, including management of documentation through formal commissioning governance. Who we're looking for: Knowledge and experience of application of commissioning requirements in the design of clear, unambiguous and manageable commissioning test instructions. Execution of physical or administrative activities against instructions. Application of arrangements on control of plant status and hand-in/out of maintenance, control of contractors, permit to work systems, lock-out-tag-out processes etc. Understanding of, and potential experience of holding, SQEP and DAP roles and their importance in the conduct of safety related commissioning. Understanding of the role and importance of safety systems and commissioning schedules and the requirement to substantiate Safety Functional Requirements, Conventional Functional Requirements, and Environmental Functional Requirements of these safety systems through representative commissioning testing. Understands the processes and safety considerations for making temporary changes to the baseline facility or system design through the commissioning lifecycle. Understanding of change management, safety, and related documentation for commissioning of equipment on Nuclear Licenced/Authorised Sites. We are an equal opportunities employer. We're committed to developing a diverse workforce and an inclusive working environment. We believe that people from different backgrounds and cultures give us different perspectives which are crucial to innovation and problem solving. We believe the more diverse perspectives we have, the more successful we'll be. By building a culture of caring and belonging, we give everyone who works here the opportunity to realise their full potential. You can learn more about our global Inclusion strategy at Our people Rolls-Royce To work for the Rolls-Royce Submarines business an individual has to hold a Security Check clearance. Rolls-Royce will support the application for Security Clearance if you do not currently already have this in place. Due to the nature of work the business conducts and the protection of certain assets we can only progress applications from individuals who are a UK national or, in MoD approved cases, a dual national. As part of our selection process, candidates in certain locations may be asked to complete an online assessment, which can include cognitive and behavioural aptitude testing relevant to the role. If required, full instructions for the next steps will be provided. Job Category Transformation & Operations Posting Date 11 Feb 2026; 00:02 Posting End Date 28 Feb 2026PandoLogic.
Mar 01, 2026
Full time
Job Description Job Title: Facility Commissioning Engineer - Submarines Working location: Raynesway, Derby Why Rolls-Royce? Rolls-Royce is one of the most enduring and iconic brands in the world and has been at the forefront of innovation for over a century. We design, build and service systems that provide critical power to customers where safety and reliability are paramount. We are proud to be a force for progress, powering, protecting and connecting people everywhere. We want to ensure that the excellence and ingenuity that has shaped our history continues into our future and we need people like you to come and join us on this journey. We'll provide an environment of caring and belonging where you can be yourself. An inclusive, innovative culture that invests in you, gives you access to an incredible breadth and depth of opportunities where you can grow your career and make a difference. Defines, plans, coordinates, authors procedures for, executes, and reports on test and commissioning activities to support verification & validation of safety and environmental, product/process qualification and design requirements in accordance with Safety Cases and Environmental Permits. What we offer: We offer excellent development opportunities, a competitive salary, and exceptional benefits. These include bonus, employee support assistance and employee discounts. What you will be doing: Application (through awareness or supervision) of principles relating to safety related commissioning, including organisational design, commissioning strategy and logic, procedural control, plant status control, control of contractors, permit to work systems etc. Design and/or operational supervision of clear, unambiguous and manageable commissioning test instructions/procedures. Undertaking risk assessments and other relevant safety documentation to ensure safe and compliant commissioning of systems and equipment. Providing Intelligent Customer oversight to supplier/contractor activities to ensure compliance with requirements and nuclear regulations, legislation and codes and standards. Managing and coordinating temporary modifications to facilities, buildings, plant, equipment and/or processes to enable execution of commissioning activities accordance with Nuclear/Authorised Licensed Site commissioning processes. Coordinating effective handover of plant & equipment, documentation and records from construction/installation responsible person(s). Management and control of commissioning documentation and evidence to support safety case substantiation of functional engineered safety claims, including management of documentation through formal commissioning governance. Who we're looking for: Knowledge and experience of application of commissioning requirements in the design of clear, unambiguous and manageable commissioning test instructions. Execution of physical or administrative activities against instructions. Application of arrangements on control of plant status and hand-in/out of maintenance, control of contractors, permit to work systems, lock-out-tag-out processes etc. Understanding of, and potential experience of holding, SQEP and DAP roles and their importance in the conduct of safety related commissioning. Understanding of the role and importance of safety systems and commissioning schedules and the requirement to substantiate Safety Functional Requirements, Conventional Functional Requirements, and Environmental Functional Requirements of these safety systems through representative commissioning testing. Understands the processes and safety considerations for making temporary changes to the baseline facility or system design through the commissioning lifecycle. Understanding of change management, safety, and related documentation for commissioning of equipment on Nuclear Licenced/Authorised Sites. We are an equal opportunities employer. We're committed to developing a diverse workforce and an inclusive working environment. We believe that people from different backgrounds and cultures give us different perspectives which are crucial to innovation and problem solving. We believe the more diverse perspectives we have, the more successful we'll be. By building a culture of caring and belonging, we give everyone who works here the opportunity to realise their full potential. You can learn more about our global Inclusion strategy at Our people Rolls-Royce To work for the Rolls-Royce Submarines business an individual has to hold a Security Check clearance. Rolls-Royce will support the application for Security Clearance if you do not currently already have this in place. Due to the nature of work the business conducts and the protection of certain assets we can only progress applications from individuals who are a UK national or, in MoD approved cases, a dual national. As part of our selection process, candidates in certain locations may be asked to complete an online assessment, which can include cognitive and behavioural aptitude testing relevant to the role. If required, full instructions for the next steps will be provided. Job Category Transformation & Operations Posting Date 11 Feb 2026; 00:02 Posting End Date 28 Feb 2026PandoLogic.
About Sano Mission: what we do Accelerating the world's transition to personalised medicine Purpose: why we do it To speed up development of life saving treatments for those with limited options Vision: where we're going Become the world's best source of patient-in-the-loop genomic and health data for precision medicine development Curious to dive deeper? Read more about what we do here Brief into to the role, who they are reporting to, Headlines: Role - VP Data & Engineering Salary -£120,000 to £150,000 depending on experience Location - UK (remote only) As VP of Engineering & Data, you'll be a hands on, strategic leader for a small high impact team. You'll own the technical direction and delivery for our engineering function, including front end, backend, and platform disciplines. You will be instrumental in ensuring we can reliably ingest, curate, and serve high quality multi modal datasets (genomics + health/clinical + patient reported) and turn them into products that accelerate precision medicine trials, and make it easier for patients and families to take part. This is a "player coach" leadership role: you'll set direction, manage/build the team, while still being close enough to the work to provide guidance and make great technical/business decisions quickly. How you'll make an impact: Own the engineering + data strategy: set a clear technical vision and architecture that supports Sano's product and commercial goals, balancing speed, quality, and long term scalability. Build and evolve our multi modal data platform: design and deliver pipelines that ingest, standardise, validate, and serve data across modalities (e.g., genomics, EMR/clinical data, genetic testing lab results, patient reported outcomes, study operations and/or site data, device/wearable data, unstructured data like documents/notes). Make data "product grade": establish a high bar for data quality, provenance/lineage, versioning, reproducibility, and observability, so customers and regulators can trust what we deliver. Turn data into customer value: partner closely with Product to build data powered workflows and surfaces (APIs, internal tools, partner ready datasets/exports, analytics capabilities, cohort discovery, operational insights) that improve study outcomes and patient experience. Lead the team: hire, coach, and retain a high performing group of engineers and data specialists; create clear ownership, pragmatic processes, and an environment where people do the best work of their careers. Strengthen engineering fundamentals: drive architectural coherence, security by design, reliability, and a strong SDLC (testing, CI/CD, code review standards, documentation, incident response, on call expectations appropriate to our size). Embed privacy, consent, and security into everything: ensure our systems meet the expectations that come with sensitive health and genomic data, and partner with internal stakeholders on governance and risk. Be a cross functional multiplier: work tightly with the SVP of Product (and the broader Leadership Team as well as Sano's Product team) to make great trade offs, communicate clearly, and deliver outcomes Scale with intention: take accountability for sprint planning, prioritisation, metrics, decision making frameworks, to increase throughput and predictability without creating bureaucracy. This job is for you if you: Have led engineering teams in small, fast moving environments where you had to be both strategic and highly execution oriented. Have deep hands on experience designing and operating production systems, and can still dive into architecture, reviews, and the hardest technical problems when needed. Have built and shipped data platforms and data products, where data integrity, auditability, and customer outcomes mattered. Understand multi source data integration including entity resolution, schema evolution, data schema/ontologies, validation rules, backfills, and tooling to keep pipelines reliable over time. Can operate comfortably with ambiguity, set direction, and make sound decisions with incomplete information. Communicate clearly and directly, especially in a remote first environment, with technical and non technical stakeholders. Care deeply about building technology that impacts patients' lives, and take patient trust seriously. Must have experience: Building and operating production grade data pipelines, including orchestration, monitoring, alerting, and reliable backfills. Data quality + governance foundations: validation, lineage/provenance, access controls, versioning, and clear definitions of "source of truth." Delivering data powered user facing or partner facing products, such as APIs, dataset delivery mechanisms, analytics surfaces, or workflow tools driven by integrated datasets. Designing systems for sensitive data (health/PII/PHI): secure by default architecture, least privilege access, strong operational discipline, and a pragmatic approach to compliance. Leading teams with high autonomy: hiring, coaching, setting expectations, and creating a culture of ownership and delivery. Even better if you have: Experience in genomics, precision medicine, clinical research, or healthcare data GxP environments. Familiarity with healthcare data standards or common models (e.g., FHIR/HL7, OMOP), and/or experience working with unstructured clinical documents and extraction/normalisation workflows. Experience building consent aware data systems (where permissions and data usage constraints are first class). Experience with security/compliance programmes (e.g., SOC 2 / ISO 27001 / similar), including partnering on audits and implementing realistic and balanced controls. Experience with modern data stacks (warehouse/lakehouse), data quality frameworks, and strong opinions about what to keep simple at a startup. Experience building ML/AI use cases in production, incorporating multi modal data in a regulated and high trust environment like healthcare. This role is unlikely to be a great match if: You prefer leading large organisations with narrow scopes and lots of established processes. This role is hands on and broad and requires agility. You want to focus only on people management or only on technical work - we need a leader who can do both and can model excellence. You're uncomfortable making trade offs and moving quickly in ambiguity, or you need very detailed direction to do your best work. You don't enjoy close collaboration with Product, including shaping priorities and saying "no" (or "not yet") when needed. Research shows that some people are less likely to apply for a role unless they are 100% qualified. Your experience, skills and passion will set you apart so tell us about your achievements, irrespective of whether they are personal or work related, tell us about your journey, and about what you learnt. So, if this role excites you, don't let our role description hold you back, get applying! Hiring Process Initial culture fit call with the CEO 60 min technical interview with 3 members of the engineering team 60 min interview with VP product & Delivery ️ Panel working session: We'll share 1-2 real challenges we're currently facing (with relevant context such as roadmap, product architecture, and commercial materials) and ask you to discuss how you would approach solving them over the next 3, 6, and 12 months in an interactive session with the panel. Support - If you have a medical condition or an individual need for an adjustment to our process, and you believe this may affect your ability to be at your best - please let us know so we can talk about how we can best support you and make any adjustments that may be needed. All interviews at Sano take place virtually. Please let us know if we can help make a virtual interview run smoother for you. Please note: We can only accept applications from those eligible to live and work in the UK or in the USA (for specific roles). We are unable to sponsor visas for this position. Diversity, Equity, Inclusion and Belonging At Sano, we're committed to creating an environment that promotes diversity, equity, inclusion and belonging. We are a global community and we believe our unique qualities should be celebrated as they are critical to our innovation. It's essential to us that you bring your authentic self to work every single day, no matter your age, ethnicity, religion, citizenship, gender identity, sexual orientation, disability status, caring responsibilities, neurodiversity, or otherwise. Inclusion isn't just an initiative at Sano. We strive to embed it not just into our values but throughout our entire culture.
Mar 01, 2026
Full time
About Sano Mission: what we do Accelerating the world's transition to personalised medicine Purpose: why we do it To speed up development of life saving treatments for those with limited options Vision: where we're going Become the world's best source of patient-in-the-loop genomic and health data for precision medicine development Curious to dive deeper? Read more about what we do here Brief into to the role, who they are reporting to, Headlines: Role - VP Data & Engineering Salary -£120,000 to £150,000 depending on experience Location - UK (remote only) As VP of Engineering & Data, you'll be a hands on, strategic leader for a small high impact team. You'll own the technical direction and delivery for our engineering function, including front end, backend, and platform disciplines. You will be instrumental in ensuring we can reliably ingest, curate, and serve high quality multi modal datasets (genomics + health/clinical + patient reported) and turn them into products that accelerate precision medicine trials, and make it easier for patients and families to take part. This is a "player coach" leadership role: you'll set direction, manage/build the team, while still being close enough to the work to provide guidance and make great technical/business decisions quickly. How you'll make an impact: Own the engineering + data strategy: set a clear technical vision and architecture that supports Sano's product and commercial goals, balancing speed, quality, and long term scalability. Build and evolve our multi modal data platform: design and deliver pipelines that ingest, standardise, validate, and serve data across modalities (e.g., genomics, EMR/clinical data, genetic testing lab results, patient reported outcomes, study operations and/or site data, device/wearable data, unstructured data like documents/notes). Make data "product grade": establish a high bar for data quality, provenance/lineage, versioning, reproducibility, and observability, so customers and regulators can trust what we deliver. Turn data into customer value: partner closely with Product to build data powered workflows and surfaces (APIs, internal tools, partner ready datasets/exports, analytics capabilities, cohort discovery, operational insights) that improve study outcomes and patient experience. Lead the team: hire, coach, and retain a high performing group of engineers and data specialists; create clear ownership, pragmatic processes, and an environment where people do the best work of their careers. Strengthen engineering fundamentals: drive architectural coherence, security by design, reliability, and a strong SDLC (testing, CI/CD, code review standards, documentation, incident response, on call expectations appropriate to our size). Embed privacy, consent, and security into everything: ensure our systems meet the expectations that come with sensitive health and genomic data, and partner with internal stakeholders on governance and risk. Be a cross functional multiplier: work tightly with the SVP of Product (and the broader Leadership Team as well as Sano's Product team) to make great trade offs, communicate clearly, and deliver outcomes Scale with intention: take accountability for sprint planning, prioritisation, metrics, decision making frameworks, to increase throughput and predictability without creating bureaucracy. This job is for you if you: Have led engineering teams in small, fast moving environments where you had to be both strategic and highly execution oriented. Have deep hands on experience designing and operating production systems, and can still dive into architecture, reviews, and the hardest technical problems when needed. Have built and shipped data platforms and data products, where data integrity, auditability, and customer outcomes mattered. Understand multi source data integration including entity resolution, schema evolution, data schema/ontologies, validation rules, backfills, and tooling to keep pipelines reliable over time. Can operate comfortably with ambiguity, set direction, and make sound decisions with incomplete information. Communicate clearly and directly, especially in a remote first environment, with technical and non technical stakeholders. Care deeply about building technology that impacts patients' lives, and take patient trust seriously. Must have experience: Building and operating production grade data pipelines, including orchestration, monitoring, alerting, and reliable backfills. Data quality + governance foundations: validation, lineage/provenance, access controls, versioning, and clear definitions of "source of truth." Delivering data powered user facing or partner facing products, such as APIs, dataset delivery mechanisms, analytics surfaces, or workflow tools driven by integrated datasets. Designing systems for sensitive data (health/PII/PHI): secure by default architecture, least privilege access, strong operational discipline, and a pragmatic approach to compliance. Leading teams with high autonomy: hiring, coaching, setting expectations, and creating a culture of ownership and delivery. Even better if you have: Experience in genomics, precision medicine, clinical research, or healthcare data GxP environments. Familiarity with healthcare data standards or common models (e.g., FHIR/HL7, OMOP), and/or experience working with unstructured clinical documents and extraction/normalisation workflows. Experience building consent aware data systems (where permissions and data usage constraints are first class). Experience with security/compliance programmes (e.g., SOC 2 / ISO 27001 / similar), including partnering on audits and implementing realistic and balanced controls. Experience with modern data stacks (warehouse/lakehouse), data quality frameworks, and strong opinions about what to keep simple at a startup. Experience building ML/AI use cases in production, incorporating multi modal data in a regulated and high trust environment like healthcare. This role is unlikely to be a great match if: You prefer leading large organisations with narrow scopes and lots of established processes. This role is hands on and broad and requires agility. You want to focus only on people management or only on technical work - we need a leader who can do both and can model excellence. You're uncomfortable making trade offs and moving quickly in ambiguity, or you need very detailed direction to do your best work. You don't enjoy close collaboration with Product, including shaping priorities and saying "no" (or "not yet") when needed. Research shows that some people are less likely to apply for a role unless they are 100% qualified. Your experience, skills and passion will set you apart so tell us about your achievements, irrespective of whether they are personal or work related, tell us about your journey, and about what you learnt. So, if this role excites you, don't let our role description hold you back, get applying! Hiring Process Initial culture fit call with the CEO 60 min technical interview with 3 members of the engineering team 60 min interview with VP product & Delivery ️ Panel working session: We'll share 1-2 real challenges we're currently facing (with relevant context such as roadmap, product architecture, and commercial materials) and ask you to discuss how you would approach solving them over the next 3, 6, and 12 months in an interactive session with the panel. Support - If you have a medical condition or an individual need for an adjustment to our process, and you believe this may affect your ability to be at your best - please let us know so we can talk about how we can best support you and make any adjustments that may be needed. All interviews at Sano take place virtually. Please let us know if we can help make a virtual interview run smoother for you. Please note: We can only accept applications from those eligible to live and work in the UK or in the USA (for specific roles). We are unable to sponsor visas for this position. Diversity, Equity, Inclusion and Belonging At Sano, we're committed to creating an environment that promotes diversity, equity, inclusion and belonging. We are a global community and we believe our unique qualities should be celebrated as they are critical to our innovation. It's essential to us that you bring your authentic self to work every single day, no matter your age, ethnicity, religion, citizenship, gender identity, sexual orientation, disability status, caring responsibilities, neurodiversity, or otherwise. Inclusion isn't just an initiative at Sano. We strive to embed it not just into our values but throughout our entire culture.
Jobstore are recruiting on behalf of a leading Lancashire based manufacturer for a Technical Author to be responsible for producing high-quality validation, compliance, and technical documentation to support the design, manufacture, and regulatory assurance of the companys products. reporting directly to the Compliance Engineer you will; ? Prepare the required validation documentation including the R click apply for full job details
Mar 01, 2026
Full time
Jobstore are recruiting on behalf of a leading Lancashire based manufacturer for a Technical Author to be responsible for producing high-quality validation, compliance, and technical documentation to support the design, manufacture, and regulatory assurance of the companys products. reporting directly to the Compliance Engineer you will; ? Prepare the required validation documentation including the R click apply for full job details
Consortium for Clinical Research and Innovation Singapore
At Hegen, we redefine the parenting experience with award-winning innovations tailored for mothers and their little ones. As a trusted brand in mother and baby products, our mission is to empower mothers in their breastfeeding journey and ease the transition into parenthood through meaningful products and services. Recognized as one of Singapore's top 10 fastest growing companies, Hegen takes pride in creating practical solutions that combine thoughtful designs with functionality and sustainability for time-strapped parents. ABOUT THE ROLE We are looking for a highly experienced and detail-oriented Quality Assurance Manager to oversee and enhance our quality assurance strategies across all areas of operation. This leadership role is responsible for ensuring that our products, services, and internal processes consistently meet or exceed established quality standards, including those related to reliability, performance, and user satisfaction. The successful candidate will play a key role in fostering a culture of continuous improvement and operational excellence. You will lead initiatives to strengthen compliance with regulatory requirements, drive efficiency in quality systems, and elevate the overall customer experience. This is a pivotal role that requires a proactive mindset, strong leadership capabilities, and the ability to work cross-functionally to embed quality into every aspect of the business. KEY RESPONSIBILITIES Quality Strategy Develop and implement a comprehensive Quality Management System (QMS) aligned with company objectives, regulatory requirements, and industry best practices Define quality KPIs and metrics across product development and production. Monitor performance through regular reporting and audits Champion a culture of quality excellence and continuous improvement across all departments Partner with senior leadership to align quality goals with business strategy Quality Management Oversee quality product lifecycle from design and development to production and after-sales Collaborate with R&D, Commercial and Customer Success teams to define quality specifications, testing protocols, and compliance standards for new and existing products. Lead product evaluation, validation, and certification processes to ensure compliance with global safety standards and internal quality benchmarks. Oversee management of non-conformances, product recalls, and corrective/preventive actions (CAPA) to mitigate quality risks. Partner with design, engineering and production teams to drive root cause analysis and continuous improvement in product design and manufacturability. Regulatory, Compliance & Sustainability Develop, implement, and maintain the company's Quality Management System (QMS) in line with industry standards (e.g., ISO 9001, ISO 13485, GMP) Establish supplier qualification, onboarding, and auditing frameworks to ensure consistent adherence to quality, ethical and environmental standards. Conduct supplier performance reviews and collaborate on corrective action plans to resolve quality issues. Drive supplier development initiatives, fostering partnerships to improve process capability, yield, and reliability. Maintain up-to-date records of supplier certifications, compliance documentation, and audit results. Integratesustainabilityconsiderationsintoqualityframeworks,includingresponsiblesourcing,materialsafety,andwastereduction. Quality Operations Work with Production and Operations teams to ensure process control, traceability, and compliance throughout manufacturing. Implement in-process inspection, final product testing, and statistical process control (SPC) measures to ensure product conformity. Leadinternalaudits,managementreviews,andqualitygovernanceprocesses. Team Leadership & Continuous Improvement Champion a proactive, prevention-focused quality mindset throughout the organisation. Provide guidance, training, and coaching to teams to strengthen quality awareness and accountability. Support leadership with quality insights, reporting, and recommendations. WHAT WE ARE LOOKING FOR Bachelor's Degree in Mechanical Engineering, Quality Management and/or equivalent At least 5 years of relevant experience in quality management within a manufacturing or consumer goods environment. Knowledge in plastics manufacturing, plastics injection molding processes, defect analysis, and testing methods is highly preferred Deep knowledge of quality standards (e.g., ISO 9001, ISO 13485, GMP) and regulatory compliance framework Experience with audit processes and quality tools Excellent analytical, problem-solving, and decision-making skills Strong stakeholder management and relationship building skills Ability to drive cross-functional communications and influence outcomes in a fast-moving and dynamic environment. Detail-oriented and organized with an agile mindset Demonstrated experience in leading and developing teams Proficiency in using Quality Management software and Microsoft Office Suite Demonstrate commitment and responsibility to uphold high levels of quality standards and customer satisfaction Itisallaboutfosteringapurpose-driven, inclusive and collaborative work environment where every team member can thrive. At Hegen, you will find meaningful work, continuous learning opportunities and the chance to make a real impact. Joinusinrealisingourboldvisionofimpacting100millionmothersworldwidethroughinnovation,compassion,andexcellence.Ifyou'reinspiredtomakeadifferenceandgrowwithadynamicteam,apply now and embark on an exciting career with us!
Mar 01, 2026
Full time
At Hegen, we redefine the parenting experience with award-winning innovations tailored for mothers and their little ones. As a trusted brand in mother and baby products, our mission is to empower mothers in their breastfeeding journey and ease the transition into parenthood through meaningful products and services. Recognized as one of Singapore's top 10 fastest growing companies, Hegen takes pride in creating practical solutions that combine thoughtful designs with functionality and sustainability for time-strapped parents. ABOUT THE ROLE We are looking for a highly experienced and detail-oriented Quality Assurance Manager to oversee and enhance our quality assurance strategies across all areas of operation. This leadership role is responsible for ensuring that our products, services, and internal processes consistently meet or exceed established quality standards, including those related to reliability, performance, and user satisfaction. The successful candidate will play a key role in fostering a culture of continuous improvement and operational excellence. You will lead initiatives to strengthen compliance with regulatory requirements, drive efficiency in quality systems, and elevate the overall customer experience. This is a pivotal role that requires a proactive mindset, strong leadership capabilities, and the ability to work cross-functionally to embed quality into every aspect of the business. KEY RESPONSIBILITIES Quality Strategy Develop and implement a comprehensive Quality Management System (QMS) aligned with company objectives, regulatory requirements, and industry best practices Define quality KPIs and metrics across product development and production. Monitor performance through regular reporting and audits Champion a culture of quality excellence and continuous improvement across all departments Partner with senior leadership to align quality goals with business strategy Quality Management Oversee quality product lifecycle from design and development to production and after-sales Collaborate with R&D, Commercial and Customer Success teams to define quality specifications, testing protocols, and compliance standards for new and existing products. Lead product evaluation, validation, and certification processes to ensure compliance with global safety standards and internal quality benchmarks. Oversee management of non-conformances, product recalls, and corrective/preventive actions (CAPA) to mitigate quality risks. Partner with design, engineering and production teams to drive root cause analysis and continuous improvement in product design and manufacturability. Regulatory, Compliance & Sustainability Develop, implement, and maintain the company's Quality Management System (QMS) in line with industry standards (e.g., ISO 9001, ISO 13485, GMP) Establish supplier qualification, onboarding, and auditing frameworks to ensure consistent adherence to quality, ethical and environmental standards. Conduct supplier performance reviews and collaborate on corrective action plans to resolve quality issues. Drive supplier development initiatives, fostering partnerships to improve process capability, yield, and reliability. Maintain up-to-date records of supplier certifications, compliance documentation, and audit results. Integratesustainabilityconsiderationsintoqualityframeworks,includingresponsiblesourcing,materialsafety,andwastereduction. Quality Operations Work with Production and Operations teams to ensure process control, traceability, and compliance throughout manufacturing. Implement in-process inspection, final product testing, and statistical process control (SPC) measures to ensure product conformity. Leadinternalaudits,managementreviews,andqualitygovernanceprocesses. Team Leadership & Continuous Improvement Champion a proactive, prevention-focused quality mindset throughout the organisation. Provide guidance, training, and coaching to teams to strengthen quality awareness and accountability. Support leadership with quality insights, reporting, and recommendations. WHAT WE ARE LOOKING FOR Bachelor's Degree in Mechanical Engineering, Quality Management and/or equivalent At least 5 years of relevant experience in quality management within a manufacturing or consumer goods environment. Knowledge in plastics manufacturing, plastics injection molding processes, defect analysis, and testing methods is highly preferred Deep knowledge of quality standards (e.g., ISO 9001, ISO 13485, GMP) and regulatory compliance framework Experience with audit processes and quality tools Excellent analytical, problem-solving, and decision-making skills Strong stakeholder management and relationship building skills Ability to drive cross-functional communications and influence outcomes in a fast-moving and dynamic environment. Detail-oriented and organized with an agile mindset Demonstrated experience in leading and developing teams Proficiency in using Quality Management software and Microsoft Office Suite Demonstrate commitment and responsibility to uphold high levels of quality standards and customer satisfaction Itisallaboutfosteringapurpose-driven, inclusive and collaborative work environment where every team member can thrive. At Hegen, you will find meaningful work, continuous learning opportunities and the chance to make a real impact. Joinusinrealisingourboldvisionofimpacting100millionmothersworldwidethroughinnovation,compassion,andexcellence.Ifyou'reinspiredtomakeadifferenceandgrowwithadynamicteam,apply now and embark on an exciting career with us!
Collibra Integration Engineer Role - Hybrid / Canary Wharf - 6 month Contract - Banking Tier 1 Bank - Regulatory Reporting Team Role - Collibra Integration Engineer Duration - 6 months with very likely extension Location - Hybrid / Canary Wharf - 3 days per week in a Canary Wharf office Rate - 415 per day (inside IR35) Tasks Administer and maintain the Collibra platform from an IT engineering perspective, including configuration, health monitoring, troubleshooting, and performance management across EMEA environments. Configure, schedule, and manage integrations using DIP/CDQ, EDGE, and Lineage Harvester, ensuring consistent ingestion of metadata, schemas, and lineage from multiple data sources. Perform connectivity and prerequisite validation with Application teams, ETL teams, and DBAs, including driver installation, credential management, network/firewall requirements and technical onboarding for new data sources. Investigate and resolve incidents related to Collibra integrations, lineage ingestion, and platform availability; collaborate with infrastructure teams to address root causes and prevent reoccurrence. Ensure configuration consistency across environments (DEV/QA/PROD), maintaining runbooks, documentation, and standard operating procedures. Provide regular, clear updates on operational status, risks, and issues to Development Managers and stakeholders. Additional Tasks Support EMEA-wide Collibra platform stability by monitoring ingestion pipelines, schema drift, job failures, and performance degradation, ensuring reliable metadata and lineage availability Maintain technical documentation, including integration configurations, onboarding guides, troubleshooting logs and operational checklists Assist with access control operations, ensuring proper provisioning, least-privilege consistency, and audit-readiness for regulatory requirements Participate in technical testing for new features, patches, and platform improvements, raising risks or gaps early in collaboration with vendor support and internal IT teams. GCS is acting as an Employment Business in relation to this vacancy.
Feb 28, 2026
Contractor
Collibra Integration Engineer Role - Hybrid / Canary Wharf - 6 month Contract - Banking Tier 1 Bank - Regulatory Reporting Team Role - Collibra Integration Engineer Duration - 6 months with very likely extension Location - Hybrid / Canary Wharf - 3 days per week in a Canary Wharf office Rate - 415 per day (inside IR35) Tasks Administer and maintain the Collibra platform from an IT engineering perspective, including configuration, health monitoring, troubleshooting, and performance management across EMEA environments. Configure, schedule, and manage integrations using DIP/CDQ, EDGE, and Lineage Harvester, ensuring consistent ingestion of metadata, schemas, and lineage from multiple data sources. Perform connectivity and prerequisite validation with Application teams, ETL teams, and DBAs, including driver installation, credential management, network/firewall requirements and technical onboarding for new data sources. Investigate and resolve incidents related to Collibra integrations, lineage ingestion, and platform availability; collaborate with infrastructure teams to address root causes and prevent reoccurrence. Ensure configuration consistency across environments (DEV/QA/PROD), maintaining runbooks, documentation, and standard operating procedures. Provide regular, clear updates on operational status, risks, and issues to Development Managers and stakeholders. Additional Tasks Support EMEA-wide Collibra platform stability by monitoring ingestion pipelines, schema drift, job failures, and performance degradation, ensuring reliable metadata and lineage availability Maintain technical documentation, including integration configurations, onboarding guides, troubleshooting logs and operational checklists Assist with access control operations, ensuring proper provisioning, least-privilege consistency, and audit-readiness for regulatory requirements Participate in technical testing for new features, patches, and platform improvements, raising risks or gaps early in collaboration with vendor support and internal IT teams. GCS is acting as an Employment Business in relation to this vacancy.
Senior Data Engineer (AWS, Airflow, Python) Based at client locations, working remotely, or based in our Godalming or Milton Keynes offices. Salary up to 65k plus company benefits. About Us Triad Group Plc is an award-winning digital, data, and solutions consultancy with over 35 years' experience primarily serving the UK public sector and central government. We deliver high-quality solutions that make a real difference to users, citizens and consumers. At Triad, collaboration thrives, knowledge is shared, and every voice matters. Our close-knit, supportive culture ensures you're valued from day one. Whether working with cutting-edge technology or shaping strategy for national-scale projects, you'll be trusted, challenged, and empowered to grow. We nurture learning through communities of practice and encourage creativity, autonomy, and innovation. If you're passionate about solving meaningful problems with smart and passionate people, Triad could be the place for you. Glassdoor score of 4.7 96% of our staff would recommend Triad to a friend 100% CEO approval See for yourself some of the work that makes us all so proud: Helping law enforcement with secure intelligence systems that keep the UK safe Supporting the UK's national meteorological service in leveraging supercomputers for next-level weather forecasting Assisting a UK government department responsible for consumer product safety with systems to track unsafe products Powering systems that help the government monitor and reduce greenhouse gas emissions from commercial transport Role Summary Triad is seeking a Senior Data Engineer to play a key role in delivering high-quality data solutions across a range of client assignments, primarily within the UK public sector. You will design, build, and optimise cloud-based data platforms, working closely with multidisciplinary teams to understand data requirements and deliver scalable, reliable, and secure data pipelines. This role offers the opportunity to shape data architecture, influence technical decisions, and contribute to meaningful, data-driven outcomes. Key Responsibilities Design, develop, and maintain scalable data pipelines to extract, transform, and load (ETL) data into cloud-based data platforms, primarily AWS. Create and manage data models that support efficient storage, retrieval, and analysis of data. Utilise AWS services such as S3, EC2, Glue, Aurora, Redshift, DynamoDB and Lambda to architect and maintain cloud data solutions. Maintain modular Terraform based IaC for reliable provisioning of AWS infrastructure. Develop, optimise and maintain robust data pipelines using Apache Airflow. Implement data transformation processes using Python to clean, preprocess, and enrich data for analytical use. Collaborate with data analysts, data scientists, developers, and other stakeholders to understand and integrate data requirements. Monitor, optimise, and tune data pipelines to ensure performance, reliability, and scalability. Identify data quality issues and implement data validation and cleansing processes. Maintain clear and comprehensive documentation covering data pipelines, models, and best practices. Work within a continuous integration environment with automated builds, deployments, and testing. Skills and Experience Strong experience designing and building data pipelines on cloud platforms, particularly AWS. Excellent proficiency in developing ETL processes and data transformation workflows. Strong SQL skills (postgresql) and advanced Python coding capability (essential). Experience working with AWS services such as S3, EC2, Glue, Aurora, Redshift, DynamoDB and Lambda (essential). Understanding of Terraform codebases to create and manage AWS infrastructure. Experience developing, optimising, and maintaining data pipelines using Apache Airflow. Familiarity with distributed data processing systems such as Spark or Databricks. Experience working with high-performing, low-latency, or large-volume data systems. Ability to collaborate effectively within cross-functional, agile, delivery-focused teams. Experience defining data models, metadata, and data dictionaries to ensure consistency and accuracy. Qualifications & Certifications A degree or equivalent qualification in Computer Science, Data Science, or a related discipline (desirable). Due to the nature of this position, you must be willing and eligible to achieve a minimum of SC clearance . To be eligible, you must have been a resident in the UK for a minimum of 5 years and have the right to work in the UK. Triad's Commitment to You As a growing and ambitious company, Triad prioritises your development and well-being: Continuous Training & Development: Access to top-rated Udemy Business courses. Work Environment: Collaborative, creative, and free from discrimination. Benefits: 25 days of annual leave, plus bank holidays. Matched pension contributions (5%). Private healthcare with Bupa. Gym membership support or Lakeshore Fitness access. Perkbox membership. Cycle-to-work scheme. What Our Colleagues Have to Say Please see for yourself on Glassdoor and our "Day in the Life" videos at the bottom of our Careers Page. Our Selection Process After applying for the role, our in-house talent team will contact you to discuss Triad and the position. If shortlisted, you will be invited for: A technical test including numerical, logical and verbal reasoning A technical interview with our consultants A management interview to assess cultural fit We aim to complete interviews and progress candidates to offer stage within 2-3 weeks of the initial conversation. Other Information If this role is of interest to you or you would like further information, please contact X and submit your application now. Triad is an equal opportunities employer and welcomes applications from all suitably qualified people regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion, or belief. We are proud that our recruitment process is inclusive and accessible to disabled people who meet the minimum criteria for any role. Triad is a signatory to the Tech Talent Charter and a Disability Confident Leader.
Feb 28, 2026
Full time
Senior Data Engineer (AWS, Airflow, Python) Based at client locations, working remotely, or based in our Godalming or Milton Keynes offices. Salary up to 65k plus company benefits. About Us Triad Group Plc is an award-winning digital, data, and solutions consultancy with over 35 years' experience primarily serving the UK public sector and central government. We deliver high-quality solutions that make a real difference to users, citizens and consumers. At Triad, collaboration thrives, knowledge is shared, and every voice matters. Our close-knit, supportive culture ensures you're valued from day one. Whether working with cutting-edge technology or shaping strategy for national-scale projects, you'll be trusted, challenged, and empowered to grow. We nurture learning through communities of practice and encourage creativity, autonomy, and innovation. If you're passionate about solving meaningful problems with smart and passionate people, Triad could be the place for you. Glassdoor score of 4.7 96% of our staff would recommend Triad to a friend 100% CEO approval See for yourself some of the work that makes us all so proud: Helping law enforcement with secure intelligence systems that keep the UK safe Supporting the UK's national meteorological service in leveraging supercomputers for next-level weather forecasting Assisting a UK government department responsible for consumer product safety with systems to track unsafe products Powering systems that help the government monitor and reduce greenhouse gas emissions from commercial transport Role Summary Triad is seeking a Senior Data Engineer to play a key role in delivering high-quality data solutions across a range of client assignments, primarily within the UK public sector. You will design, build, and optimise cloud-based data platforms, working closely with multidisciplinary teams to understand data requirements and deliver scalable, reliable, and secure data pipelines. This role offers the opportunity to shape data architecture, influence technical decisions, and contribute to meaningful, data-driven outcomes. Key Responsibilities Design, develop, and maintain scalable data pipelines to extract, transform, and load (ETL) data into cloud-based data platforms, primarily AWS. Create and manage data models that support efficient storage, retrieval, and analysis of data. Utilise AWS services such as S3, EC2, Glue, Aurora, Redshift, DynamoDB and Lambda to architect and maintain cloud data solutions. Maintain modular Terraform based IaC for reliable provisioning of AWS infrastructure. Develop, optimise and maintain robust data pipelines using Apache Airflow. Implement data transformation processes using Python to clean, preprocess, and enrich data for analytical use. Collaborate with data analysts, data scientists, developers, and other stakeholders to understand and integrate data requirements. Monitor, optimise, and tune data pipelines to ensure performance, reliability, and scalability. Identify data quality issues and implement data validation and cleansing processes. Maintain clear and comprehensive documentation covering data pipelines, models, and best practices. Work within a continuous integration environment with automated builds, deployments, and testing. Skills and Experience Strong experience designing and building data pipelines on cloud platforms, particularly AWS. Excellent proficiency in developing ETL processes and data transformation workflows. Strong SQL skills (postgresql) and advanced Python coding capability (essential). Experience working with AWS services such as S3, EC2, Glue, Aurora, Redshift, DynamoDB and Lambda (essential). Understanding of Terraform codebases to create and manage AWS infrastructure. Experience developing, optimising, and maintaining data pipelines using Apache Airflow. Familiarity with distributed data processing systems such as Spark or Databricks. Experience working with high-performing, low-latency, or large-volume data systems. Ability to collaborate effectively within cross-functional, agile, delivery-focused teams. Experience defining data models, metadata, and data dictionaries to ensure consistency and accuracy. Qualifications & Certifications A degree or equivalent qualification in Computer Science, Data Science, or a related discipline (desirable). Due to the nature of this position, you must be willing and eligible to achieve a minimum of SC clearance . To be eligible, you must have been a resident in the UK for a minimum of 5 years and have the right to work in the UK. Triad's Commitment to You As a growing and ambitious company, Triad prioritises your development and well-being: Continuous Training & Development: Access to top-rated Udemy Business courses. Work Environment: Collaborative, creative, and free from discrimination. Benefits: 25 days of annual leave, plus bank holidays. Matched pension contributions (5%). Private healthcare with Bupa. Gym membership support or Lakeshore Fitness access. Perkbox membership. Cycle-to-work scheme. What Our Colleagues Have to Say Please see for yourself on Glassdoor and our "Day in the Life" videos at the bottom of our Careers Page. Our Selection Process After applying for the role, our in-house talent team will contact you to discuss Triad and the position. If shortlisted, you will be invited for: A technical test including numerical, logical and verbal reasoning A technical interview with our consultants A management interview to assess cultural fit We aim to complete interviews and progress candidates to offer stage within 2-3 weeks of the initial conversation. Other Information If this role is of interest to you or you would like further information, please contact X and submit your application now. Triad is an equal opportunities employer and welcomes applications from all suitably qualified people regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion, or belief. We are proud that our recruitment process is inclusive and accessible to disabled people who meet the minimum criteria for any role. Triad is a signatory to the Tech Talent Charter and a Disability Confident Leader.
An award-winning global technology provider is seeking a skilled Hardware Engineer to join their specialist team designing wireless-connected products for the IoT industry. This is a hands-on position, covering full lifecycle hardware development from concept to production, with a focus on high-quality, reliable solutions for integration into customer devices. Key Responsibilities Lead hardware design projects, including schematic capture, PCB layout, and placement reviews. Create and review engineering and manufacturing documentation. Conduct product verification and validation, including functional and parametric testing. Support manufacturing and quality control activities. Provide consultancy services to review and enhance customer-supplied designs. Assist in regulatory compliance testing. Skills & Experience PSU design (DC-DC and linear regulators) up to 10W. Strong interface knowledge: RS232, RS4xx, I2C, SPI, Ethernet, USB3, PCI-e. Radio technologies: Bluetooth, Zigbee, Wi-Fi, cellular modems (3/4/5G), etc. High-speed and high-frequency PCB layout techniques. Design for manufacture experience. Proficiency with lab equipment for design verification. Familiarity with safety and regulatory compliance (RED, EMC, etc.). On offer is a salary up to 70k + benefits. For more information, please apply now or contact Kirstin at Avanti Recruitment.
Feb 28, 2026
Full time
An award-winning global technology provider is seeking a skilled Hardware Engineer to join their specialist team designing wireless-connected products for the IoT industry. This is a hands-on position, covering full lifecycle hardware development from concept to production, with a focus on high-quality, reliable solutions for integration into customer devices. Key Responsibilities Lead hardware design projects, including schematic capture, PCB layout, and placement reviews. Create and review engineering and manufacturing documentation. Conduct product verification and validation, including functional and parametric testing. Support manufacturing and quality control activities. Provide consultancy services to review and enhance customer-supplied designs. Assist in regulatory compliance testing. Skills & Experience PSU design (DC-DC and linear regulators) up to 10W. Strong interface knowledge: RS232, RS4xx, I2C, SPI, Ethernet, USB3, PCI-e. Radio technologies: Bluetooth, Zigbee, Wi-Fi, cellular modems (3/4/5G), etc. High-speed and high-frequency PCB layout techniques. Design for manufacture experience. Proficiency with lab equipment for design verification. Familiarity with safety and regulatory compliance (RED, EMC, etc.). On offer is a salary up to 70k + benefits. For more information, please apply now or contact Kirstin at Avanti Recruitment.
Data Engineer - TV Advertising Data (FAST) Location: London - 3 days onsite Salary 75,000 - 85,000 Neg DOE Reference : J13057 Note: Full and current UK working rights required for this role We're currently seeking a Data Engineer to build the foundations behind the rapidly growing FAST (Free Ad Supports Streaming TV channels) A pioneering opportunity to be involved with direct to consumer advertising for a Global player in the field. Someone who is passionate about how data drives the industry and to help optimise campaigns, measure performance, and monetise content. Key Responsibilities Design, build, and maintain scalable ETL/ELT pipelines that transform raw data into reliable, analytics-ready datasets Ingest, integrate, and manage new data sources across advertising, audience, platform, and content data within Microsoft Fabric environment Deliver robust data flows that underpin global FAST dashboards, monetisation insights, and audience viewing metrics Work closely with the central Data & Analytics team to enable high-quality Power BI reporting and analysis Ensure strong data governance, integrity, and security across the Azure/Fabric ecosystem Optimise data pipelines for performance, scalability, and efficiency, following best-practice engineering standards including version control and code reviews Monitor pipeline health, data freshness, and quality, implementing proactive alerting and issue resolution Translate business and analytical needs into well-structured data models and technical solutions Automate data workflows to minimise manual processes and improve operational reliability Maintain clear documentation of pipelines, datasets, and data flows to support collaboration and smooth handovers Stay current with data engineering best practices, particularly within the Microsoft technology stack Skills & Experience 5+ years' experience working as a Data Engineer or in a similar role Proven experience with cloud-based data platforms (Azure, AWS, SQL, Snowflake, Springserv); Strong proficiency in Spark SQL and PySpark, including complex transformations Experience building ETL/ELT pipelines using tools such as Azure Data Factory or equivalent Ability to write efficient, reusable scripts for transformation, validation, and automation Hands-on experience integrating data from APIs (REST, JSON), including automated data collection Solid understanding of data modelling best practices for analytics and dashboards Confidence working with large, complex datasets across multiple formats (CSV, JSON, Parquet, databases, APIs) Strong problem-solving skills and the ability to diagnose and resolve data issues Excellent communication skills and experience working with cross-functional teams Genuine curiosity about how data drives content performance, audience behaviour, and monetisation If this sounds like the role for you then please apply today!
Feb 28, 2026
Full time
Data Engineer - TV Advertising Data (FAST) Location: London - 3 days onsite Salary 75,000 - 85,000 Neg DOE Reference : J13057 Note: Full and current UK working rights required for this role We're currently seeking a Data Engineer to build the foundations behind the rapidly growing FAST (Free Ad Supports Streaming TV channels) A pioneering opportunity to be involved with direct to consumer advertising for a Global player in the field. Someone who is passionate about how data drives the industry and to help optimise campaigns, measure performance, and monetise content. Key Responsibilities Design, build, and maintain scalable ETL/ELT pipelines that transform raw data into reliable, analytics-ready datasets Ingest, integrate, and manage new data sources across advertising, audience, platform, and content data within Microsoft Fabric environment Deliver robust data flows that underpin global FAST dashboards, monetisation insights, and audience viewing metrics Work closely with the central Data & Analytics team to enable high-quality Power BI reporting and analysis Ensure strong data governance, integrity, and security across the Azure/Fabric ecosystem Optimise data pipelines for performance, scalability, and efficiency, following best-practice engineering standards including version control and code reviews Monitor pipeline health, data freshness, and quality, implementing proactive alerting and issue resolution Translate business and analytical needs into well-structured data models and technical solutions Automate data workflows to minimise manual processes and improve operational reliability Maintain clear documentation of pipelines, datasets, and data flows to support collaboration and smooth handovers Stay current with data engineering best practices, particularly within the Microsoft technology stack Skills & Experience 5+ years' experience working as a Data Engineer or in a similar role Proven experience with cloud-based data platforms (Azure, AWS, SQL, Snowflake, Springserv); Strong proficiency in Spark SQL and PySpark, including complex transformations Experience building ETL/ELT pipelines using tools such as Azure Data Factory or equivalent Ability to write efficient, reusable scripts for transformation, validation, and automation Hands-on experience integrating data from APIs (REST, JSON), including automated data collection Solid understanding of data modelling best practices for analytics and dashboards Confidence working with large, complex datasets across multiple formats (CSV, JSON, Parquet, databases, APIs) Strong problem-solving skills and the ability to diagnose and resolve data issues Excellent communication skills and experience working with cross-functional teams Genuine curiosity about how data drives content performance, audience behaviour, and monetisation If this sounds like the role for you then please apply today!
The main focus of this role is to act as a Manufacturing Engineering Integrator, supporting the Filton Plant Industrial Architects team in the preparation and assembly of Airbus wing research and technology demonstrators. The main areas of competence and experience required for this role are: - Experience of working in a manufacturing engineering or production environment and familiarity with production processes - Knowledge and experience of aerospace structures (understanding the key structural components and manufacturing techniques associated with aircraft wings) - Experience of and competency in the use of CAD tools, specifically CATIA V5 - Strong communication and interpersonal skills and the ability to communicate complex technical information in a clear, simple way - Ability to work autonomously and act as an interface between different areas of the design and manufacturing team - Fluency with standard office IT tools (Airbus uses Google Suite) - A strong team working ethic The key tasks of the role will comprise (but may not be limited to) the following: - development and delivery of an industrial plan for wing research demonstrator projects - providing input to manufacturing project change processes by assessing the impact of design changes to manufacturing cost and schedule - liaison with production team on topics such as scheduling and operational resource planning - working with the jigs and tooling team to ensure enablement of jig design and delivery - working with tooling and component suppliers to ensure adherence to planning and management of changes - generation and validation of manufacturing capability documentation - working across the design and manufacturing interface to assure and validate Condition of Supply agreements - managing and planning detailed delivery specifications to ensure Quality Assurance requirements are met and validated - working across the Manufacturing Engineering team to ensure alignment of schedule and facilitate information sharing Pay rate: £46.00 Per hour Umbrella / £34.39 Per hour PAYE
Feb 28, 2026
Contractor
The main focus of this role is to act as a Manufacturing Engineering Integrator, supporting the Filton Plant Industrial Architects team in the preparation and assembly of Airbus wing research and technology demonstrators. The main areas of competence and experience required for this role are: - Experience of working in a manufacturing engineering or production environment and familiarity with production processes - Knowledge and experience of aerospace structures (understanding the key structural components and manufacturing techniques associated with aircraft wings) - Experience of and competency in the use of CAD tools, specifically CATIA V5 - Strong communication and interpersonal skills and the ability to communicate complex technical information in a clear, simple way - Ability to work autonomously and act as an interface between different areas of the design and manufacturing team - Fluency with standard office IT tools (Airbus uses Google Suite) - A strong team working ethic The key tasks of the role will comprise (but may not be limited to) the following: - development and delivery of an industrial plan for wing research demonstrator projects - providing input to manufacturing project change processes by assessing the impact of design changes to manufacturing cost and schedule - liaison with production team on topics such as scheduling and operational resource planning - working with the jigs and tooling team to ensure enablement of jig design and delivery - working with tooling and component suppliers to ensure adherence to planning and management of changes - generation and validation of manufacturing capability documentation - working across the design and manufacturing interface to assure and validate Condition of Supply agreements - managing and planning detailed delivery specifications to ensure Quality Assurance requirements are met and validated - working across the Manufacturing Engineering team to ensure alignment of schedule and facilitate information sharing Pay rate: £46.00 Per hour Umbrella / £34.39 Per hour PAYE
About GBG Enabling safe and rewarding digital lives for genuine people, everywhere We make it our mission to ensure more genuine people have digital access to opportunities, and businesses have access to more genuine people. Our technology draws on diverse and reliable data to create a single point of truth for identity and address verification. With over 30 years of experience behind us our team and technology are focused on enabling safe and rewarding digital lives for everyone. Regardless of age, location or background, genuine people everywhere should be able to digitally prove who they are and where they live. About the team and role CVML Teams At the heart of GBG's Documents and Biometrics portfolio, our team focuses on creating unique and powerful artificial intelligence models. These models are designed to revolutionize KYC verification for our customers. We drive the development of these cutting edge technologies, aiming to provide unparalleled solutions for document verification and digital trust. Collaboration is our cornerstone as we bring together diverse expertise to achieve collective success. Guided by Agile methodology, our daily operations focus on efficiency through automation. Director - Machine Learning The Director of Machine Learning provides strategic, technical, and people leadership for machine learning initiatives across the Documents & Biometrics organization. This role is accountable for defining the long term AI/ML vision and roadmap, translating business and product strategy into impactful ML capabilities, and ensuring the reliable, ethical, and scalable delivery of ML models into production. The Director operates as both a senior technical authority and an organizational leader, driving innovation, mentoring teams, influencing stakeholders, and ensuring that machine learning efforts deliver measurable customer and business value. This role requires deep expertise in machine learning and computer vision, strong leadership capability, and the ability to operate effectively across product, engineering, operations, compliance, and executive leadership functions. What you will do Strategic Leadership & Vision Define, own, and execute the long term AI and Machine Learning strategy for the Documents & Biometrics domain, aligned with company objectives and product roadmaps. Identify opportunities where machine learning can materially improve classification, extraction, fraud detection, image processing, and overall product performance. Serve as a thought leader for AI/ML within the organization, advocating for modern approaches, emerging technologies, and best practices. Technical & Delivery Leadership Provide hands on technical leadership across the full ML lifecycle, including research, model design, experimentation, validation, deployment, and continuous improvement. Raise the bar for technical excellence while fostering an inclusive, high engagement team culture. Oversee the development and productization of ML models addressing real world document and biometric challenges at scale. Establish and evolve robust MLOps practices to ensure reproducibility, reliability, observability, cost effectiveness, and consistent high quality model delivery. Ensure the availability, quality, and scalability of labeled data pipelines necessary to support ongoing model development and accuracy improvement. People & Team Leadership Lead, mentor, and develop a team of senior machine learning engineers and technical leaders, fostering a culture of trust, accountability, collaboration, and continuous learning. Build high performing teams that balance innovation with operational excellence. Set clear expectations, provide regular feedback, and support the professional growth and progression of team members. Builds trust through transparency, technical credibility, and consistent delivery. Cross Functional Collaboration Partner closely with Product Management to define AI/ML roadmaps, prioritize initiatives, and ensure timely and high impact delivery. Collaborate effectively with Engineering, Architecture, Data, Platform, Security, Legal, and Compliance teams to ensure ML systems are scalable, secure, and compliant. Represent Documents & Biometrics in cross company forums related to AI strategy, governance, and innovation. Governance, Ethics & Compliance Ensure that machine learning systems are developed and operated in accordance with applicable AI governance frameworks, regulatory requirements, and ethical best practices. Contribute to company wide AI governance efforts, including AI risk assessment, documentation, explainability, and stakeholder readiness. Promote appropriate AI literacy within the team and ensure responsible design and use of ML technologies. Operational Excellence Manage multiple complex initiatives simultaneously, balancing innovation, delivery commitments, and operational stability. Ensure adherence to industry best practices, architectural standards, and engineering quality bars. Maintain high levels of team morale, engagement, and delivery velocity. Skills we're looking for PhD in AI, Machine Learning, Computer Science, or a related field, or equivalent depth of industry experience. Deep technical expertise in machine learning, computer vision, and deep learning applied to real world, production systems. 10+ years of hands on experience in machine learning and computer vision, with a substantial portion in leadership roles. Significant experience leading and scaling machine learning teams in a product focused environment. Proven track record of delivering ML solutions end to end, from concept through production and ongoing optimization. Strong experience building and operating MLOps pipelines, data workflows, and production ML systems. Demonstrated ability to influence across organizational boundaries and communicate effectively with both technical and non technical stakeholders. Experience operating in highly dynamic, fast moving environments with competing priorities. Experience with regulated environments, AI governance frameworks, or compliance driven ML development would be beneficial Experience delivering ML solutions with measurable customer or business impact at scale To find out more As an equal opportunity employer, we are dedicated to creating a diverse and inclusive workplace where everyone feels valued and empowered. Please inform your GBG Talent Attraction Partner if you require any reasonable adjustments to the interview process. To chat to the Talent Attraction team and find out more about our benefits and why we're a great place to work, drop an email to we'll be in touch. You can also find out more about careers at Unleash your potential and be part of our mission to power safe and rewarding digital lives.
Feb 28, 2026
Full time
About GBG Enabling safe and rewarding digital lives for genuine people, everywhere We make it our mission to ensure more genuine people have digital access to opportunities, and businesses have access to more genuine people. Our technology draws on diverse and reliable data to create a single point of truth for identity and address verification. With over 30 years of experience behind us our team and technology are focused on enabling safe and rewarding digital lives for everyone. Regardless of age, location or background, genuine people everywhere should be able to digitally prove who they are and where they live. About the team and role CVML Teams At the heart of GBG's Documents and Biometrics portfolio, our team focuses on creating unique and powerful artificial intelligence models. These models are designed to revolutionize KYC verification for our customers. We drive the development of these cutting edge technologies, aiming to provide unparalleled solutions for document verification and digital trust. Collaboration is our cornerstone as we bring together diverse expertise to achieve collective success. Guided by Agile methodology, our daily operations focus on efficiency through automation. Director - Machine Learning The Director of Machine Learning provides strategic, technical, and people leadership for machine learning initiatives across the Documents & Biometrics organization. This role is accountable for defining the long term AI/ML vision and roadmap, translating business and product strategy into impactful ML capabilities, and ensuring the reliable, ethical, and scalable delivery of ML models into production. The Director operates as both a senior technical authority and an organizational leader, driving innovation, mentoring teams, influencing stakeholders, and ensuring that machine learning efforts deliver measurable customer and business value. This role requires deep expertise in machine learning and computer vision, strong leadership capability, and the ability to operate effectively across product, engineering, operations, compliance, and executive leadership functions. What you will do Strategic Leadership & Vision Define, own, and execute the long term AI and Machine Learning strategy for the Documents & Biometrics domain, aligned with company objectives and product roadmaps. Identify opportunities where machine learning can materially improve classification, extraction, fraud detection, image processing, and overall product performance. Serve as a thought leader for AI/ML within the organization, advocating for modern approaches, emerging technologies, and best practices. Technical & Delivery Leadership Provide hands on technical leadership across the full ML lifecycle, including research, model design, experimentation, validation, deployment, and continuous improvement. Raise the bar for technical excellence while fostering an inclusive, high engagement team culture. Oversee the development and productization of ML models addressing real world document and biometric challenges at scale. Establish and evolve robust MLOps practices to ensure reproducibility, reliability, observability, cost effectiveness, and consistent high quality model delivery. Ensure the availability, quality, and scalability of labeled data pipelines necessary to support ongoing model development and accuracy improvement. People & Team Leadership Lead, mentor, and develop a team of senior machine learning engineers and technical leaders, fostering a culture of trust, accountability, collaboration, and continuous learning. Build high performing teams that balance innovation with operational excellence. Set clear expectations, provide regular feedback, and support the professional growth and progression of team members. Builds trust through transparency, technical credibility, and consistent delivery. Cross Functional Collaboration Partner closely with Product Management to define AI/ML roadmaps, prioritize initiatives, and ensure timely and high impact delivery. Collaborate effectively with Engineering, Architecture, Data, Platform, Security, Legal, and Compliance teams to ensure ML systems are scalable, secure, and compliant. Represent Documents & Biometrics in cross company forums related to AI strategy, governance, and innovation. Governance, Ethics & Compliance Ensure that machine learning systems are developed and operated in accordance with applicable AI governance frameworks, regulatory requirements, and ethical best practices. Contribute to company wide AI governance efforts, including AI risk assessment, documentation, explainability, and stakeholder readiness. Promote appropriate AI literacy within the team and ensure responsible design and use of ML technologies. Operational Excellence Manage multiple complex initiatives simultaneously, balancing innovation, delivery commitments, and operational stability. Ensure adherence to industry best practices, architectural standards, and engineering quality bars. Maintain high levels of team morale, engagement, and delivery velocity. Skills we're looking for PhD in AI, Machine Learning, Computer Science, or a related field, or equivalent depth of industry experience. Deep technical expertise in machine learning, computer vision, and deep learning applied to real world, production systems. 10+ years of hands on experience in machine learning and computer vision, with a substantial portion in leadership roles. Significant experience leading and scaling machine learning teams in a product focused environment. Proven track record of delivering ML solutions end to end, from concept through production and ongoing optimization. Strong experience building and operating MLOps pipelines, data workflows, and production ML systems. Demonstrated ability to influence across organizational boundaries and communicate effectively with both technical and non technical stakeholders. Experience operating in highly dynamic, fast moving environments with competing priorities. Experience with regulated environments, AI governance frameworks, or compliance driven ML development would be beneficial Experience delivering ML solutions with measurable customer or business impact at scale To find out more As an equal opportunity employer, we are dedicated to creating a diverse and inclusive workplace where everyone feels valued and empowered. Please inform your GBG Talent Attraction Partner if you require any reasonable adjustments to the interview process. To chat to the Talent Attraction team and find out more about our benefits and why we're a great place to work, drop an email to we'll be in touch. You can also find out more about careers at Unleash your potential and be part of our mission to power safe and rewarding digital lives.
Test Engineer Full time - Permanent - Onsite Salary: Up to £38,000 per annum (depending on experience) ReeVR Talent are looking for an experienced Test Engineer to join our clients test and validation team. This role involves hands-on testing, programming, data collection and analysis of complex electromechanical systems in a test cell environment click apply for full job details
Feb 28, 2026
Full time
Test Engineer Full time - Permanent - Onsite Salary: Up to £38,000 per annum (depending on experience) ReeVR Talent are looking for an experienced Test Engineer to join our clients test and validation team. This role involves hands-on testing, programming, data collection and analysis of complex electromechanical systems in a test cell environment click apply for full job details
Job Title: Electrical / Electronics Engineer Location: Dunbartonshire, Scotland Salary: Up to £55k (depending on experience) We're seeking an Electrical / Electronic Engineer to join an innovative engineering team developing next-generation systems. This role offers the opportunity to work across the full product lifecycle, from concept design and circuit development through to system integration, testing, and validation. You will play a key role in delivering high-quality electrical and electronic solutions while collaborating with multidisciplinary teams to bring advanced products to market. About the Job: Integrating control systems and developing autonomous robots. Create 3D models, design products and parts, and produce 2D drawings. Designing, developing, and integrate electrical and electronic systems. Ensure the design meets the required specifications and standards. Design and develop advanced electrical and electronic circuits, components, and systems for appliances. Collaborate closely with cross-functional teams to integrate electrical and electronic systems seamlessly into appliance designs. Conduct comprehensive testing, troubleshooting, and validation of electrical and electronic systems. Ensure strict compliance with industry standards and regulatory requirements. Provide mentorship and technical guidance to junior engineers and team members. Stay updated on emerging technologies and industry trends to drive innovation. About You: Bachelor s or master s degree in electrical engineering, Electronic Engineering, or a related field. Proven track record as an Electrical or Electronic Engineer. Strong expertise in electrical and electronic circuit design and simulation tools. Proficiency in CAD software for schematic design. Exceptional problem-solving skills and effective communication abilities. Experienced in UL, CE certification is a plus. Please note, we cannot offer sponsorship for the role. If interested, please send over an updated CV.
Feb 28, 2026
Full time
Job Title: Electrical / Electronics Engineer Location: Dunbartonshire, Scotland Salary: Up to £55k (depending on experience) We're seeking an Electrical / Electronic Engineer to join an innovative engineering team developing next-generation systems. This role offers the opportunity to work across the full product lifecycle, from concept design and circuit development through to system integration, testing, and validation. You will play a key role in delivering high-quality electrical and electronic solutions while collaborating with multidisciplinary teams to bring advanced products to market. About the Job: Integrating control systems and developing autonomous robots. Create 3D models, design products and parts, and produce 2D drawings. Designing, developing, and integrate electrical and electronic systems. Ensure the design meets the required specifications and standards. Design and develop advanced electrical and electronic circuits, components, and systems for appliances. Collaborate closely with cross-functional teams to integrate electrical and electronic systems seamlessly into appliance designs. Conduct comprehensive testing, troubleshooting, and validation of electrical and electronic systems. Ensure strict compliance with industry standards and regulatory requirements. Provide mentorship and technical guidance to junior engineers and team members. Stay updated on emerging technologies and industry trends to drive innovation. About You: Bachelor s or master s degree in electrical engineering, Electronic Engineering, or a related field. Proven track record as an Electrical or Electronic Engineer. Strong expertise in electrical and electronic circuit design and simulation tools. Proficiency in CAD software for schematic design. Exceptional problem-solving skills and effective communication abilities. Experienced in UL, CE certification is a plus. Please note, we cannot offer sponsorship for the role. If interested, please send over an updated CV.
AI Fellow (AI4Science), AI Initiative, Global Health Programs page is loaded AI Fellow (AI4Science), AI Initiative, Global Health Programslocations: United Kingdom, London Project Officetime type: Full timeposted on: Posted Yesterdaytime left to apply: End Date: March 9, 2026 (12 days left to apply)job requisition id: JR2427PATH current employees - please log in and applyPATH is a global nonprofit dedicated to achieving health equity. With more than 40 years of experience forging multisector partnerships and with expertise in science, economics, technology, advocacy, and dozens of other specialties, PATH develops and scales up innovative solutions to the world's most pressing heath challenges. PATH's AI Initiative is pioneering the use of generative AI and other advanced digital technologies to accelerate biomedical discovery, strengthen regulatory systems, and enhance the safety and scalability of digital healthcare.The Research Fellow will be a key member of the AI4Science team, working under the supervision of the Deputy Director (AI4Science) and the Chief AI Officer to deliver research across the team's portfolio. You will have a particular focus on a flagship programme funded by FCDO that aims to accelerate global health research through AI Co-Scientist tools. This programme includes developing a benchmarking framework for evaluating AI Co-Scientist tools, running real-world demonstration projects in areas such as mental health therapeutics, antimicrobial resistance, and malaria vector control, and establishing a secretariat to support partners in adopting AI-for-science workflows.This is a hands-on role ideal for an applied researcher (post-PhD or equivalent) who enjoys experimentation, interdisciplinary collaboration, and translating emerging AI capabilities into real scientific workflows. You will own specific workstreams within the AI4Science portfolio, from experimental design through execution and publication, while collaborating closely with senior technical leadership and external partners. You will develop and test AI-assisted scientific workflows, and contribute to the growing evidence base for how AI can accelerate biomedical discovery. You will also contribute to the wider AI4Science portfolio, including work on vaccine development and other projects as they arise. This role does not necessarily require developing new foundation models, but does require strong fluency in applying, evaluating, and orchestrating modern AI systems (including LLMs and agentic workflows) specifically for scientific research.If you're a researcher who wants to work at the cutting edge of AI and biomedical science, with the opportunity to see your work translate into real-world impact for underserved communities, this could be the role for you. Responsabilities : Contribute to and, where appropriate, lead research activities across multiple projects within the AI4Science portfolio, including: Designing, building, and iterating benchmark evaluations for AI Co-Scientist tools, covering tasks such as knowledge retrieval, reasoning, robustness, rediscovery, and adversarial testing. Supporting the delivery of real-world demonstration projects (e.g., mental health therapeutics, AMR susceptibility testing, malaria vector control), including facilitating expert workshops, running AI-assisted hypothesis generation exercises, and coordinating small-scale lab validation studies with partners. Contributing to a landscape mapping exercise to catalogue and functionally test available AI Co-Scientist tools. Practical coordination support to help FCDO partners articulate research questions, select appropriate AI tools, and execute guided research sprints. Contributing to other AI4Science projects, such as work on identifying novel correlates of protection to accelerate vaccine development using agentic AI workflows. Apply and develop quantitative research methods (e.g., experimental study design, statistical analysis) and technical AI methods (e.g., prompt engineering, agent architecture design, evaluation method development) both independently and in collaboration with partners. Contribute to the technical writing of study protocols, donor reports, peer-reviewed publications, and the publicly accessible AI4Science Playbook. Support the development and maintenance of collaborations with academic, industry, and Global South research partners. Project Support & Coordination Support the Deputy Director in ensuring the timely delivery of project outputs, including compliance with PATH and donor research ethics and data protection standards. Contribute to donor reporting and, as needed, serve as a technical point of contact for partners on specific project workstreams. Collaborate with colleagues across the AI initiative (including the Health and Regulatory Policy teams) and the wider organisation to advance cross-cutting objectives. Learning & Professional Development Stay current with the rapidly evolving AI-for-science landscape and proactively share insights with the team. Contribute to PATH's thought leadership in AI and global health, including through conference presentations, blog posts, and other external engagement. As the team grows, provide informal mentorship and technical guidance to more junior colleagues or interns. Required Skills & Experience PhD (or equivalent research experience) in a relevant subject, such as computational biology, bioinformatics, machine learning, immunology, chemistry, or a related biomedical or quantitative discipline. Demonstrable coding skills (Python preferred) sufficient to comfortably carry out independent AI research and prototyping, including experience working with large language models, AI/ML pipelines, or agentic workflows. Familiarity with, or strong interest in, one or more of the following: AI benchmarking and evaluation, natural language processing, agentic AI architectures. Experience in molecular design, drug discovery, and/or infectious disease biology is a significant plus. At least one peer-reviewed publication (or equivalent evidence of research output). A Passion for Applied Research You are motivated by research that has a real-world impact. You're excited by the idea of your work contributing to new treatments, better diagnostics, or more effective vector control - not just another paper. Rigour and Resourcefulness You can design sound experiments, handle messy data, and troubleshoot when things don't work as expected. You're comfortable working across disciplines and picking up new methods quickly. Strong Communication Skills You can explain complex technical work clearly to non-specialist audiences, write well, and collaborate effectively with researchers from diverse backgrounds and geographies. Comfort with Uncertainty The AI-for-science field is evolving fast, and this programme is deliberately exploratory. You thrive in environments where the path forward isn't always clear and you're energised (rather than daunted) by that. A Collaborative Mindset You work well as part of a small, agile team embedded in a large organisation. You're willing to support colleagues, share credit, and contribute to a positive team culture. To be selected, you must have legal authorization to work in the UK.
Feb 28, 2026
Full time
AI Fellow (AI4Science), AI Initiative, Global Health Programs page is loaded AI Fellow (AI4Science), AI Initiative, Global Health Programslocations: United Kingdom, London Project Officetime type: Full timeposted on: Posted Yesterdaytime left to apply: End Date: March 9, 2026 (12 days left to apply)job requisition id: JR2427PATH current employees - please log in and applyPATH is a global nonprofit dedicated to achieving health equity. With more than 40 years of experience forging multisector partnerships and with expertise in science, economics, technology, advocacy, and dozens of other specialties, PATH develops and scales up innovative solutions to the world's most pressing heath challenges. PATH's AI Initiative is pioneering the use of generative AI and other advanced digital technologies to accelerate biomedical discovery, strengthen regulatory systems, and enhance the safety and scalability of digital healthcare.The Research Fellow will be a key member of the AI4Science team, working under the supervision of the Deputy Director (AI4Science) and the Chief AI Officer to deliver research across the team's portfolio. You will have a particular focus on a flagship programme funded by FCDO that aims to accelerate global health research through AI Co-Scientist tools. This programme includes developing a benchmarking framework for evaluating AI Co-Scientist tools, running real-world demonstration projects in areas such as mental health therapeutics, antimicrobial resistance, and malaria vector control, and establishing a secretariat to support partners in adopting AI-for-science workflows.This is a hands-on role ideal for an applied researcher (post-PhD or equivalent) who enjoys experimentation, interdisciplinary collaboration, and translating emerging AI capabilities into real scientific workflows. You will own specific workstreams within the AI4Science portfolio, from experimental design through execution and publication, while collaborating closely with senior technical leadership and external partners. You will develop and test AI-assisted scientific workflows, and contribute to the growing evidence base for how AI can accelerate biomedical discovery. You will also contribute to the wider AI4Science portfolio, including work on vaccine development and other projects as they arise. This role does not necessarily require developing new foundation models, but does require strong fluency in applying, evaluating, and orchestrating modern AI systems (including LLMs and agentic workflows) specifically for scientific research.If you're a researcher who wants to work at the cutting edge of AI and biomedical science, with the opportunity to see your work translate into real-world impact for underserved communities, this could be the role for you. Responsabilities : Contribute to and, where appropriate, lead research activities across multiple projects within the AI4Science portfolio, including: Designing, building, and iterating benchmark evaluations for AI Co-Scientist tools, covering tasks such as knowledge retrieval, reasoning, robustness, rediscovery, and adversarial testing. Supporting the delivery of real-world demonstration projects (e.g., mental health therapeutics, AMR susceptibility testing, malaria vector control), including facilitating expert workshops, running AI-assisted hypothesis generation exercises, and coordinating small-scale lab validation studies with partners. Contributing to a landscape mapping exercise to catalogue and functionally test available AI Co-Scientist tools. Practical coordination support to help FCDO partners articulate research questions, select appropriate AI tools, and execute guided research sprints. Contributing to other AI4Science projects, such as work on identifying novel correlates of protection to accelerate vaccine development using agentic AI workflows. Apply and develop quantitative research methods (e.g., experimental study design, statistical analysis) and technical AI methods (e.g., prompt engineering, agent architecture design, evaluation method development) both independently and in collaboration with partners. Contribute to the technical writing of study protocols, donor reports, peer-reviewed publications, and the publicly accessible AI4Science Playbook. Support the development and maintenance of collaborations with academic, industry, and Global South research partners. Project Support & Coordination Support the Deputy Director in ensuring the timely delivery of project outputs, including compliance with PATH and donor research ethics and data protection standards. Contribute to donor reporting and, as needed, serve as a technical point of contact for partners on specific project workstreams. Collaborate with colleagues across the AI initiative (including the Health and Regulatory Policy teams) and the wider organisation to advance cross-cutting objectives. Learning & Professional Development Stay current with the rapidly evolving AI-for-science landscape and proactively share insights with the team. Contribute to PATH's thought leadership in AI and global health, including through conference presentations, blog posts, and other external engagement. As the team grows, provide informal mentorship and technical guidance to more junior colleagues or interns. Required Skills & Experience PhD (or equivalent research experience) in a relevant subject, such as computational biology, bioinformatics, machine learning, immunology, chemistry, or a related biomedical or quantitative discipline. Demonstrable coding skills (Python preferred) sufficient to comfortably carry out independent AI research and prototyping, including experience working with large language models, AI/ML pipelines, or agentic workflows. Familiarity with, or strong interest in, one or more of the following: AI benchmarking and evaluation, natural language processing, agentic AI architectures. Experience in molecular design, drug discovery, and/or infectious disease biology is a significant plus. At least one peer-reviewed publication (or equivalent evidence of research output). A Passion for Applied Research You are motivated by research that has a real-world impact. You're excited by the idea of your work contributing to new treatments, better diagnostics, or more effective vector control - not just another paper. Rigour and Resourcefulness You can design sound experiments, handle messy data, and troubleshoot when things don't work as expected. You're comfortable working across disciplines and picking up new methods quickly. Strong Communication Skills You can explain complex technical work clearly to non-specialist audiences, write well, and collaborate effectively with researchers from diverse backgrounds and geographies. Comfort with Uncertainty The AI-for-science field is evolving fast, and this programme is deliberately exploratory. You thrive in environments where the path forward isn't always clear and you're energised (rather than daunted) by that. A Collaborative Mindset You work well as part of a small, agile team embedded in a large organisation. You're willing to support colleagues, share credit, and contribute to a positive team culture. To be selected, you must have legal authorization to work in the UK.
Data Science Manager page is loaded Data Science Managerremote type: Hybridlocations: Belfast - 20 Adelaide Streetposted on: Posted Todayjob requisition id: JR-Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future. Join our team as the expert you are now and create your future. Data Science Manager We're seeking a Data Science Manager to join the Data Science & Machine Learning team in our Commercial Digital practice, where you'll lead advanced analytics initiatives that transform how Fortune 500 companies make decisions across Financial Services, Manufacturing, Energy & Utilities, and other commercial industries.Managers play a vibrant, integral role at Huron. Their invaluable knowledge reflects in the projects they manage and the teams they lead. Known for building long-standing partnerships with clients, they collaborate with colleagues to solve their most important challenges. Our Managers also spend significant time mentoring junior staff on the engagement team-sharing expertise, feedback, and encouragement. This promotes a culture of respect, unity, collaboration, and personal achievement.This isn't a reporting role or a dashboard factory-you'll own the full analytics lifecycle from hypothesis formulation through insight delivery, while leading and developing a team of data scientists and analysts. You'll work on problems that matter: experimental designs that validate multi-million-dollar strategies, predictive models that surface hidden patterns in complex data, and deep learning pipelines that extract signal from unstructured text, images, and time-series. Our clients are Fortune 500 companies looking for partners who can find the signal in the noise and tell the story that drives action.The variety is real. In your first year, you might lead a customer segmentation and lifetime value analysis for a financial services firm, design and analyze a pricing experiment for a global manufacturer, and build an agentic anomaly detection system for a utility company's operational data-all while developing the next generation of data science talent at Huron. If you thrive on rigorous analysis, clear communication of complex findings, and building high-performing teams, this role is for you.# What You'll Do Lead and mentor junior data scientists and analysts -provide technical guidance, review analytical approaches and code, and support professional development. Foster a culture of intellectual curiosity, rigorous methodology, and clear communication within the team. Manage complex multi-workstream analytics projects -oversee project planning, resource allocation, and delivery timelines. Ensure analyses meet quality standards and client expectations while maintaining methodological rigor. Design and execute end-to-end data science workflows -from problem framing and hypothesis development through exploratory analysis, modeling, validation, and insight delivery. Own the analytical approach and ensure conclusions are defensible. Lead development of both traditional statistical and modern AI-powered analyses -including regression, classification, clustering, causal inference, A/B testing, and modern deep learning approaches using embeddings, transformer architectures, and foundation models for text, time-series, and multimodal analysis. Build predictive and prescriptive models that drive business decisions-customer segmentation, churn prediction, demand forecasting, pricing optimization, risk scoring, and operational efficiency analysis for commercial enterprises. Translate complex analytical findings into actionable insights -create compelling data narratives, develop executive-ready presentations, and communicate technical results to non-technical stakeholders in ways that drive decisions. Serve as a trusted advisor to clients -build long-standing partnerships, deeply understand business problems, formulate the right analytical questions, and deliver insights that create measurable value. Contribute to practice development -participate in business development activities, develop reusable analytical frameworks and methodologies, and help shape the technical direction of Huron's DSML capabilities.# Required Qualifications 5+ years of hands-on experience conducting data science and advanced analytics -not just ad-hoc analysis, but structured analytical projects that drove business decisions. You've framed problems, developed hypotheses, analyzed data, and delivered insights that created measurable impact. Experience leading and developing technical teams -including coaching, mentorship, methodology review, and performance management. Demonstrated ability to build high-performing teams and develop junior talent. Strong Python and SQL programming skills with deep experience in the data science ecosystem (Pandas, NumPy, Scikit-learn, statsmodels, visualization libraries). Comfortable writing production-quality code, not just notebooks. Solid foundation in statistics and machine learning : hypothesis testing, regression analysis, classification, clustering, experimental design, causal inference, and understanding of when different approaches are appropriate for different questions. Experience with deep learning and modern neural architectures -understanding of transformer models, embeddings, transfer learning, and how to leverage foundation models for analytical tasks. You know when ML approaches add value over classical methods, and how to integrate them into rigorous analytical workflows. Proficiency with data platforms : Microsoft Fabric, Snowflake, Databricks, or similar cloud analytics environments. You're comfortable working with large datasets and can optimize queries for performance. Exceptional communication and data storytelling skills -ability to distill complex analyses into clear narratives, create compelling visualizations, lead client meetings, and build trusted relationships with executive audiences. This is non-negotiable. Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field (or equivalent practical experience). Flexibility to work in a hybrid model with periodic travel to client sites as needed.# Preferred Qualifications Experience in Financial Services, Manufacturing, or Energy & Utilities industries. Background in experimental design, A/B testing, and causal inference methodologies-including propensity score matching, difference-in-differences, or instrumental variables. Hands-on experience with deep learning frameworks (PyTorch, TensorFlow) and neural architectures-including transformers, attention mechanisms, and fine-tuning pretrained models for NLP, time-series, or tabular data applications. Experience building AI-assisted analytical workflows-leveraging foundation model APIs, vector databases, and retrieval systems to accelerate insight extraction from unstructured data. Experience with Bayesian methods, probabilistic programming (PyMC, NumPyro, etc.), or uncertainty quantification in business contexts. Strong visualization and data interface design and development skills using programmatic visualization libraries (Plotly, Altair, D3). Proficiency with AI-assisted rapid data application development using Cursor, Lovable, v0, etc. Experience with time-series analysis, forecasting methods (ARIMA, Prophet, neural forecasting), and demand planning applications. Cloud certifications (Azure Data Scientist, Databricks ML Associate, AWS ML Specialty). Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new
Feb 28, 2026
Full time
Data Science Manager page is loaded Data Science Managerremote type: Hybridlocations: Belfast - 20 Adelaide Streetposted on: Posted Todayjob requisition id: JR-Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future. Join our team as the expert you are now and create your future. Data Science Manager We're seeking a Data Science Manager to join the Data Science & Machine Learning team in our Commercial Digital practice, where you'll lead advanced analytics initiatives that transform how Fortune 500 companies make decisions across Financial Services, Manufacturing, Energy & Utilities, and other commercial industries.Managers play a vibrant, integral role at Huron. Their invaluable knowledge reflects in the projects they manage and the teams they lead. Known for building long-standing partnerships with clients, they collaborate with colleagues to solve their most important challenges. Our Managers also spend significant time mentoring junior staff on the engagement team-sharing expertise, feedback, and encouragement. This promotes a culture of respect, unity, collaboration, and personal achievement.This isn't a reporting role or a dashboard factory-you'll own the full analytics lifecycle from hypothesis formulation through insight delivery, while leading and developing a team of data scientists and analysts. You'll work on problems that matter: experimental designs that validate multi-million-dollar strategies, predictive models that surface hidden patterns in complex data, and deep learning pipelines that extract signal from unstructured text, images, and time-series. Our clients are Fortune 500 companies looking for partners who can find the signal in the noise and tell the story that drives action.The variety is real. In your first year, you might lead a customer segmentation and lifetime value analysis for a financial services firm, design and analyze a pricing experiment for a global manufacturer, and build an agentic anomaly detection system for a utility company's operational data-all while developing the next generation of data science talent at Huron. If you thrive on rigorous analysis, clear communication of complex findings, and building high-performing teams, this role is for you.# What You'll Do Lead and mentor junior data scientists and analysts -provide technical guidance, review analytical approaches and code, and support professional development. Foster a culture of intellectual curiosity, rigorous methodology, and clear communication within the team. Manage complex multi-workstream analytics projects -oversee project planning, resource allocation, and delivery timelines. Ensure analyses meet quality standards and client expectations while maintaining methodological rigor. Design and execute end-to-end data science workflows -from problem framing and hypothesis development through exploratory analysis, modeling, validation, and insight delivery. Own the analytical approach and ensure conclusions are defensible. Lead development of both traditional statistical and modern AI-powered analyses -including regression, classification, clustering, causal inference, A/B testing, and modern deep learning approaches using embeddings, transformer architectures, and foundation models for text, time-series, and multimodal analysis. Build predictive and prescriptive models that drive business decisions-customer segmentation, churn prediction, demand forecasting, pricing optimization, risk scoring, and operational efficiency analysis for commercial enterprises. Translate complex analytical findings into actionable insights -create compelling data narratives, develop executive-ready presentations, and communicate technical results to non-technical stakeholders in ways that drive decisions. Serve as a trusted advisor to clients -build long-standing partnerships, deeply understand business problems, formulate the right analytical questions, and deliver insights that create measurable value. Contribute to practice development -participate in business development activities, develop reusable analytical frameworks and methodologies, and help shape the technical direction of Huron's DSML capabilities.# Required Qualifications 5+ years of hands-on experience conducting data science and advanced analytics -not just ad-hoc analysis, but structured analytical projects that drove business decisions. You've framed problems, developed hypotheses, analyzed data, and delivered insights that created measurable impact. Experience leading and developing technical teams -including coaching, mentorship, methodology review, and performance management. Demonstrated ability to build high-performing teams and develop junior talent. Strong Python and SQL programming skills with deep experience in the data science ecosystem (Pandas, NumPy, Scikit-learn, statsmodels, visualization libraries). Comfortable writing production-quality code, not just notebooks. Solid foundation in statistics and machine learning : hypothesis testing, regression analysis, classification, clustering, experimental design, causal inference, and understanding of when different approaches are appropriate for different questions. Experience with deep learning and modern neural architectures -understanding of transformer models, embeddings, transfer learning, and how to leverage foundation models for analytical tasks. You know when ML approaches add value over classical methods, and how to integrate them into rigorous analytical workflows. Proficiency with data platforms : Microsoft Fabric, Snowflake, Databricks, or similar cloud analytics environments. You're comfortable working with large datasets and can optimize queries for performance. Exceptional communication and data storytelling skills -ability to distill complex analyses into clear narratives, create compelling visualizations, lead client meetings, and build trusted relationships with executive audiences. This is non-negotiable. Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field (or equivalent practical experience). Flexibility to work in a hybrid model with periodic travel to client sites as needed.# Preferred Qualifications Experience in Financial Services, Manufacturing, or Energy & Utilities industries. Background in experimental design, A/B testing, and causal inference methodologies-including propensity score matching, difference-in-differences, or instrumental variables. Hands-on experience with deep learning frameworks (PyTorch, TensorFlow) and neural architectures-including transformers, attention mechanisms, and fine-tuning pretrained models for NLP, time-series, or tabular data applications. Experience building AI-assisted analytical workflows-leveraging foundation model APIs, vector databases, and retrieval systems to accelerate insight extraction from unstructured data. Experience with Bayesian methods, probabilistic programming (PyMC, NumPyro, etc.), or uncertainty quantification in business contexts. Strong visualization and data interface design and development skills using programmatic visualization libraries (Plotly, Altair, D3). Proficiency with AI-assisted rapid data application development using Cursor, Lovable, v0, etc. Experience with time-series analysis, forecasting methods (ARIMA, Prophet, neural forecasting), and demand planning applications. Cloud certifications (Azure Data Scientist, Databricks ML Associate, AWS ML Specialty). Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new
W Talent is delighted to be supporting an Aerospace manufacturing business located in Nottingham who are looking to recruit a Manufacturing Engineer, to join there dedicated engineering team located in Nottingham. This is an exciting opportunity to join a precision-focused and highly regulated aerospace environment, where quality, compliance and continuous improvement are at the forefront of operations. The successful candidate will play a key role in driving process optimisation, supporting new product introduction and ensuring manufacturing excellence across the site. The Role - Manufacturing Engineer The Manufacturing Engineer will be responsible for developing, improving and sustaining manufacturing processes to ensure products are delivered safely, efficiently and in full compliance with aerospace standards. Working closely with Production, Quality, Design and Supply Chain teams, you will support both new and existing programmes, ensuring robust process control, documentation and continuous improvement initiatives are embedded across operations. Key Responsibilities Develop and optimise manufacturing processes to improve efficiency, quality and cost performance. Support New Product Introduction (NPI), including process validation and production readiness. Create and maintain manufacturing documentation including work instructions, process flow diagrams and control plans. Support First Article Inspection (FAI) and production part approval processes. Conduct root cause analysis and implement corrective actions for manufacturing issues. Drive continuous improvement initiatives using Lean manufacturing principles. Ensure compliance with aerospace quality standards and regulatory requirements. Support capacity planning, tooling requirements and production layout improvements. Work closely with Quality teams to ensure robust process control and audit readiness. Liaise with suppliers and external partners where required to support process improvements. Key Requirements Degree, HNC or HND in Manufacturing, Mechanical or Aerospace Engineering (or equivalent experience). Proven experience in a Manufacturing, production of process Engineer role within a manufacturing or engineering environment. Ability to commute to Nottingham on a daily basis, Monday to Friday. Strong understanding of CI and Process Improvements. Experience supporting NPI and production process validation activities. Ability to read and interpret complex engineering drawings and technical specifications. Knowledge of Lean manufacturing and continuous improvement methodologies. Strong analytical and problem-solving capability. Excellent communication skills with the ability to work cross-functionally. Salary & Benefits This role offers a competitive salary of 40,000 - 60,000 per annum, dependent on experience and will be located in Nottingham. This is an excellent opportunity to join a forward-thinking aerospace organisation offering long-term career development within a technically advanced and highly regulated manufacturing environment.
Feb 28, 2026
Full time
W Talent is delighted to be supporting an Aerospace manufacturing business located in Nottingham who are looking to recruit a Manufacturing Engineer, to join there dedicated engineering team located in Nottingham. This is an exciting opportunity to join a precision-focused and highly regulated aerospace environment, where quality, compliance and continuous improvement are at the forefront of operations. The successful candidate will play a key role in driving process optimisation, supporting new product introduction and ensuring manufacturing excellence across the site. The Role - Manufacturing Engineer The Manufacturing Engineer will be responsible for developing, improving and sustaining manufacturing processes to ensure products are delivered safely, efficiently and in full compliance with aerospace standards. Working closely with Production, Quality, Design and Supply Chain teams, you will support both new and existing programmes, ensuring robust process control, documentation and continuous improvement initiatives are embedded across operations. Key Responsibilities Develop and optimise manufacturing processes to improve efficiency, quality and cost performance. Support New Product Introduction (NPI), including process validation and production readiness. Create and maintain manufacturing documentation including work instructions, process flow diagrams and control plans. Support First Article Inspection (FAI) and production part approval processes. Conduct root cause analysis and implement corrective actions for manufacturing issues. Drive continuous improvement initiatives using Lean manufacturing principles. Ensure compliance with aerospace quality standards and regulatory requirements. Support capacity planning, tooling requirements and production layout improvements. Work closely with Quality teams to ensure robust process control and audit readiness. Liaise with suppliers and external partners where required to support process improvements. Key Requirements Degree, HNC or HND in Manufacturing, Mechanical or Aerospace Engineering (or equivalent experience). Proven experience in a Manufacturing, production of process Engineer role within a manufacturing or engineering environment. Ability to commute to Nottingham on a daily basis, Monday to Friday. Strong understanding of CI and Process Improvements. Experience supporting NPI and production process validation activities. Ability to read and interpret complex engineering drawings and technical specifications. Knowledge of Lean manufacturing and continuous improvement methodologies. Strong analytical and problem-solving capability. Excellent communication skills with the ability to work cross-functionally. Salary & Benefits This role offers a competitive salary of 40,000 - 60,000 per annum, dependent on experience and will be located in Nottingham. This is an excellent opportunity to join a forward-thinking aerospace organisation offering long-term career development within a technically advanced and highly regulated manufacturing environment.
Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. Join Our Team as a Senior Data Engineer! Are you a passionate Data Engineer with a flair for innovation? Do you thrive in a dynamic environment where your skills can shape the future of data architecture? If so, we have the perfect opportunity for you! Our client, a leader in the Utilities sector, is seeking a Senior Data Engineer for a temporary role of 3 months. Role: Senior Data Engineer Duration: 3 Months (extension options) Location: Warwick (Hybrid - 1 day on site) Rate: 500- 550 per day (umbrella) Role Overview: As a Senior Data Engineer, you will play a pivotal role in enhancing the Interconnectors Data Platform (ICDP), a cloud-based data warehouse essential for commercial, financial modeling, and operational decision-making. With the platform evolving towards a modernized Medallion Architecture and Azure-native ingestion patterns, your expertise will drive architectural direction and technical leadership. Key Responsibilities: Data Architecture & Platform Engineering: Lead the design and implementation of scalable data architectures using Bronze/Silver/Gold layered models. Shape the platform's architectural roadmap, ensuring alignment with cutting-edge engineering practices. Develop secure and observable ingestion and transformation pipelines. Pipeline Development & Operations: Spearhead the migration from legacy ETL tools to modern Azure-based pipelines, using Azure Functions, Azure Data Factory (ADF), and event-driven frameworks. Build and maintain high-performance SQL transformations, curated layers, and reusable data models. Embed CI/CD, testing, version control, and observability into workflows. Data Quality & Governance: Ensure robust data validation, reconciliation, profiling, and auditability across platform layers. Collaborate with business stakeholders to guarantee analytical and operational needs are met. Leadership: Mentor fellow data engineers, fostering technical growth within the ICDP team. Collaborate with Product teams, IT&D, and external partners to achieve high-quality outcomes. Serve as a technical authority on engineering approaches, patterns, and standards. Required Skills & Experience: Essential Technical Skills: Python: Strong hands-on experience in building production-grade data pipelines and orchestration. Advanced SQL: Expert-level skills in analytical SQL, query optimization, and data modeling. Azure Cloud: Familiarity with Azure Functions, Azure Data Factory, Azure Storage, and cloud security fundamentals. Data Warehousing: In-depth understanding of data architecture principles and scalable enterprise data design. Version Control: Proficient in Git, CI/CD, automated testing, and modern engineering practices. Pipeline Design: Experience with API ingestion, SFTP ingestion, and resilient pipeline design. Soft Skills: Exceptional problem-solving and architectural thinking abilities. Strong communication and stakeholder collaboration skills. Capability to lead and provide clarity in complex technical environments. Desirable Experience: Involvement in data-platform re-architecture programs. Exposure to Medallion/Lakehouse patterns or Databricks-style ecosystems. Experience in regulated or high-assurance data environments. Why Join Us? This is your chance to be part of a transformative journey in the Utilities industry! Not only will you be enhancing your skills, but you will also contribute to a vital platform that impacts decision-making at every level. If you're ready to take on this exciting challenge and make a significant impact, we want to hear from you! Apply now and become a key player in our client's innovative team! Candidates will ideally show evidence of the above in their CV to be considered. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.
Feb 28, 2026
Contractor
Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. Join Our Team as a Senior Data Engineer! Are you a passionate Data Engineer with a flair for innovation? Do you thrive in a dynamic environment where your skills can shape the future of data architecture? If so, we have the perfect opportunity for you! Our client, a leader in the Utilities sector, is seeking a Senior Data Engineer for a temporary role of 3 months. Role: Senior Data Engineer Duration: 3 Months (extension options) Location: Warwick (Hybrid - 1 day on site) Rate: 500- 550 per day (umbrella) Role Overview: As a Senior Data Engineer, you will play a pivotal role in enhancing the Interconnectors Data Platform (ICDP), a cloud-based data warehouse essential for commercial, financial modeling, and operational decision-making. With the platform evolving towards a modernized Medallion Architecture and Azure-native ingestion patterns, your expertise will drive architectural direction and technical leadership. Key Responsibilities: Data Architecture & Platform Engineering: Lead the design and implementation of scalable data architectures using Bronze/Silver/Gold layered models. Shape the platform's architectural roadmap, ensuring alignment with cutting-edge engineering practices. Develop secure and observable ingestion and transformation pipelines. Pipeline Development & Operations: Spearhead the migration from legacy ETL tools to modern Azure-based pipelines, using Azure Functions, Azure Data Factory (ADF), and event-driven frameworks. Build and maintain high-performance SQL transformations, curated layers, and reusable data models. Embed CI/CD, testing, version control, and observability into workflows. Data Quality & Governance: Ensure robust data validation, reconciliation, profiling, and auditability across platform layers. Collaborate with business stakeholders to guarantee analytical and operational needs are met. Leadership: Mentor fellow data engineers, fostering technical growth within the ICDP team. Collaborate with Product teams, IT&D, and external partners to achieve high-quality outcomes. Serve as a technical authority on engineering approaches, patterns, and standards. Required Skills & Experience: Essential Technical Skills: Python: Strong hands-on experience in building production-grade data pipelines and orchestration. Advanced SQL: Expert-level skills in analytical SQL, query optimization, and data modeling. Azure Cloud: Familiarity with Azure Functions, Azure Data Factory, Azure Storage, and cloud security fundamentals. Data Warehousing: In-depth understanding of data architecture principles and scalable enterprise data design. Version Control: Proficient in Git, CI/CD, automated testing, and modern engineering practices. Pipeline Design: Experience with API ingestion, SFTP ingestion, and resilient pipeline design. Soft Skills: Exceptional problem-solving and architectural thinking abilities. Strong communication and stakeholder collaboration skills. Capability to lead and provide clarity in complex technical environments. Desirable Experience: Involvement in data-platform re-architecture programs. Exposure to Medallion/Lakehouse patterns or Databricks-style ecosystems. Experience in regulated or high-assurance data environments. Why Join Us? This is your chance to be part of a transformative journey in the Utilities industry! Not only will you be enhancing your skills, but you will also contribute to a vital platform that impacts decision-making at every level. If you're ready to take on this exciting challenge and make a significant impact, we want to hear from you! Apply now and become a key player in our client's innovative team! Candidates will ideally show evidence of the above in their CV to be considered. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.
Test Engineer PHINIA is an independent, market-leading, premium solutions and components provider with over 100 years of manufacturing expertise and industry relationships, with a strong brand portfolio that includes DELPHI , DELCO REMY and HARTRIDGE . We are looking for a confident and knowledgable ATU Test Engineer to join our diverse test facility team, responsible for supporting testing in terms of fuel injection development, validation, and new technologies. The current scope of the facility includes engine test cells, climatic chambers, thermal vibration rigs, hydraulic rigs, and a test vehicle garage. The successful person must be able to adapt and be part of the changing world of propulsion, having an open and enquiring mind across a diverse facility. Test Engineer Key responsibilites: Advanced test setup hardware / software Writing and editing test programs High level data manipulation Writing, editing, and debugging test programs Manipulating hardware and software to meet the requested parameters Fault finding in terms of test facility and product Monitoring of tests / in test interventions Calibration support of the test facility Instrumentation set-up and maintenance Maintain test in given test parameters In test conformance checks (Validation / Endurance) RISK assessment technology deployment Work instruction creation Advanced test facility understanding Maintain test tracking / status process. Benefits 25 days annual holiday + Bank Holidays Working hours 37 Hours Per Week Subsidised canteen Dental plan On-site parking Onsite Gym £10 per Month Staff discount with selected retailers Pension Scheme Salary Sacrificed EAP programme (Health Assured) Death in Service benefit 4x Annual Salary AXA Private Medical Cover (Sole Only) NO AGENCIES
Feb 28, 2026
Full time
Test Engineer PHINIA is an independent, market-leading, premium solutions and components provider with over 100 years of manufacturing expertise and industry relationships, with a strong brand portfolio that includes DELPHI , DELCO REMY and HARTRIDGE . We are looking for a confident and knowledgable ATU Test Engineer to join our diverse test facility team, responsible for supporting testing in terms of fuel injection development, validation, and new technologies. The current scope of the facility includes engine test cells, climatic chambers, thermal vibration rigs, hydraulic rigs, and a test vehicle garage. The successful person must be able to adapt and be part of the changing world of propulsion, having an open and enquiring mind across a diverse facility. Test Engineer Key responsibilites: Advanced test setup hardware / software Writing and editing test programs High level data manipulation Writing, editing, and debugging test programs Manipulating hardware and software to meet the requested parameters Fault finding in terms of test facility and product Monitoring of tests / in test interventions Calibration support of the test facility Instrumentation set-up and maintenance Maintain test in given test parameters In test conformance checks (Validation / Endurance) RISK assessment technology deployment Work instruction creation Advanced test facility understanding Maintain test tracking / status process. Benefits 25 days annual holiday + Bank Holidays Working hours 37 Hours Per Week Subsidised canteen Dental plan On-site parking Onsite Gym £10 per Month Staff discount with selected retailers Pension Scheme Salary Sacrificed EAP programme (Health Assured) Death in Service benefit 4x Annual Salary AXA Private Medical Cover (Sole Only) NO AGENCIES
Network Engineer 550- 570 per day Inside IR35 Initial 6-Month Contract Remote with European travel (expenses covered) We're recruiting for a Network Engineer to support a major datacentre build for a leading IT services provider; you'll be responsible for installing, commissioning, and validating network infrastructure to ensure deployments are delivered to specification and fully operational. Key Responsibilities: Interpret network architecture diagrams to support deployment and validation Validate cabling plans and physical connectivity against design documentation Install, rack, cable, and patch switches, routers, and optics Ensure deployment readiness through accurate and up-to-date documentation Coordinate with engineers, vendors, and logistics teams to support deployment and scaling activities Requirements: 2+ years' experience in datacentre network deployment or field engineering Strong hands-on experience with racking/stacking, structured cabling, and network troubleshooting in large-scale or high-performance environments Familiarity with enterprise network hardware (e.g., Nokia, Arista) Understanding of fibre/ethernet optics and structured patching standards Ability to interpret network designs, BOMs, and rack layouts to produce accurate implementation documentation Willingness to travel across Europe ECS Recruitment Group Ltd is acting as an Employment Business in relation to this vacancy.
Feb 28, 2026
Contractor
Network Engineer 550- 570 per day Inside IR35 Initial 6-Month Contract Remote with European travel (expenses covered) We're recruiting for a Network Engineer to support a major datacentre build for a leading IT services provider; you'll be responsible for installing, commissioning, and validating network infrastructure to ensure deployments are delivered to specification and fully operational. Key Responsibilities: Interpret network architecture diagrams to support deployment and validation Validate cabling plans and physical connectivity against design documentation Install, rack, cable, and patch switches, routers, and optics Ensure deployment readiness through accurate and up-to-date documentation Coordinate with engineers, vendors, and logistics teams to support deployment and scaling activities Requirements: 2+ years' experience in datacentre network deployment or field engineering Strong hands-on experience with racking/stacking, structured cabling, and network troubleshooting in large-scale or high-performance environments Familiarity with enterprise network hardware (e.g., Nokia, Arista) Understanding of fibre/ethernet optics and structured patching standards Ability to interpret network designs, BOMs, and rack layouts to produce accurate implementation documentation Willingness to travel across Europe ECS Recruitment Group Ltd is acting as an Employment Business in relation to this vacancy.
Risk Reporting Data Strategy are responsible for requirements gathering, and supporting the design, and optimization of data structures that support the firm's risk management objectives. This role partners closely with Risk Management, Product, Technology, Chief Data Office and Risk Reporting stakeholders to validate that risk data is accurately captured, transformed, and presented in a manner that enables effective risk analysis, regulatory compliance, and strategic decision-making. As a Vice President within Risk Reporting Data Strategy team you willbe involved in integrating target-state data models with future-state reporting tools, and validating their compatibility and efficiency in collaboration with Technology-aligned Information Architects and Risk Reporting end-users. Job Responsibilities Collaborate with Risk Reporting teams to understand reporting requirements, identify atomic data elements, transformations and aggregations and translate into requirements. Partner with Technology Information Architect to review and maintain robust data models for risk reporting, maintaining scalability, accuracy, consistency, and alignment with Risk Reporting and Data Strategy requirements. Support the integration of risk data from multiple sources to a cloud based architecture with AI capabilities, to enable accessibility for reporting and analytics. Review data quality controls, validation processes, and governance frameworks, adapting to revised data sourcing patterns to maintain the integrity, accuracy, and security of risk data. Support functional reporting teams as they develop reporting on target state platforms, including dashboards and visualizations. Partner with Technology Architects, Data Engineers, and Reporting Analysts to align and optimize data structures / outputs with enterprise standards and best practices, including testing data models against reporting toolsets to validate compatibility and performance. Continue to enhance the BCBS 239 (Risk Data Aggregation and Reporting) framework to maintain compliance with regulatory expectations. Required qualifications, capabilities, and skills Experience in data requirements gathering. Experience in SQL and Python. Experience with Business Intelligence tools such as Databricks. Excellent analytical, problem-solving, and communication skills. Experience with data governance, data quality frameworks. Ability to work collaboratively across business and technology teams.
Feb 28, 2026
Full time
Risk Reporting Data Strategy are responsible for requirements gathering, and supporting the design, and optimization of data structures that support the firm's risk management objectives. This role partners closely with Risk Management, Product, Technology, Chief Data Office and Risk Reporting stakeholders to validate that risk data is accurately captured, transformed, and presented in a manner that enables effective risk analysis, regulatory compliance, and strategic decision-making. As a Vice President within Risk Reporting Data Strategy team you willbe involved in integrating target-state data models with future-state reporting tools, and validating their compatibility and efficiency in collaboration with Technology-aligned Information Architects and Risk Reporting end-users. Job Responsibilities Collaborate with Risk Reporting teams to understand reporting requirements, identify atomic data elements, transformations and aggregations and translate into requirements. Partner with Technology Information Architect to review and maintain robust data models for risk reporting, maintaining scalability, accuracy, consistency, and alignment with Risk Reporting and Data Strategy requirements. Support the integration of risk data from multiple sources to a cloud based architecture with AI capabilities, to enable accessibility for reporting and analytics. Review data quality controls, validation processes, and governance frameworks, adapting to revised data sourcing patterns to maintain the integrity, accuracy, and security of risk data. Support functional reporting teams as they develop reporting on target state platforms, including dashboards and visualizations. Partner with Technology Architects, Data Engineers, and Reporting Analysts to align and optimize data structures / outputs with enterprise standards and best practices, including testing data models against reporting toolsets to validate compatibility and performance. Continue to enhance the BCBS 239 (Risk Data Aggregation and Reporting) framework to maintain compliance with regulatory expectations. Required qualifications, capabilities, and skills Experience in data requirements gathering. Experience in SQL and Python. Experience with Business Intelligence tools such as Databricks. Excellent analytical, problem-solving, and communication skills. Experience with data governance, data quality frameworks. Ability to work collaboratively across business and technology teams.
