Role Overview We are seeking an ambitious and commercially astute Senior MEP Quantity Surveyor to join our growing team. This role is ideally suited to an experienced MEP commercial professional who is looking to take the next step in their career toward becoming a Commercial MEP Manager. The successful candidate will be responsible for the commercial management of major mechanical and electrical packages from pre-construction through to final account, while developing the leadership, strategic thinking, and commercial management skills required for progression into a senior commercial management position at KES Group. The role offers a clear pathway into a Group Commercial MEP Manager position, with opportunities to lead teams, influence business strategy, and oversee the commercial performance of multiple projects. Key Responsibilities Commercial Management Lead the commercial management of MEP packages on large-scale construction projects. Prepare, manage, and report accurate project cost forecasts and cash flows. Monitor budgets, costs, risks, and opportunities throughout the project lifecycle. Prepare and submit monthly applications for payment and valuation reports. Negotiate and agree variations, change orders, and final accounts with clients and subcontractors. Ensure robust cost control procedures are implemented and maintained. Identify commercial risks and develop mitigation strategies. Procurement & Supply Chain Manage the procurement of mechanical and electrical subcontract packages. Prepare tender enquiries, analyse returns, and make procurement recommendations. Negotiate commercial terms and conditions with subcontractors and suppliers. Monitor subcontractor performance and commercial compliance. Contract Administration Administer contracts in accordance with client framework and typical contract forms. Manage contractual notifications, claims, and dispute resolution processes. Ensure contractual entitlements are protected and maximised. Maintain comprehensive project records and commercial documentation. Financial Reporting Produce accurate monthly CVRs (Cost Value Reconciliations). Support project and senior management teams with commercial reporting. Provide detailed analysis of project financial performance. Contribute to annual budgeting and business forecasting activities. Leadership & Development Mentor and support junior Quantity Surveyors and Assistant Quantity Surveyors as well as wider estimating and procurement teams. Take a lead role in commercial meetings with clients and project stakeholders. Support the development of commercial best practices across the business. Assist with the management and development of commercial teams. Act as a commercial leader within project teams and promote a culture of accountability and excellence. Strategic Progression Towards Commercial MEP Manager as part of the role, the Senior MEP QS will be expected to: Develop commercial leadership capabilities across multiple projects. Gain exposure to business planning and strategic commercial decision-making. Support resource planning and team management activities. Contribute to commercial governance and process improvement initiatives. Build strong client relationships to drive repeat business and commercial success. Demonstrate readiness for progression into a Commercial MEP Manager position. Required Experience & Qualifications Essential Degree qualified in Quantity Surveying, Commercial Management, Construction Economics, Engineering, or a related discipline advantageous. Minimum 5 + years' experience in MEP quantity surveying and commercial management. Strong knowledge of mechanical and electrical building services installations. Experience managing large-value MEP packages on major construction projects. Proven track record of successfully negotiating variations and final accounts. Strong understanding of construction contracts and commercial processes. Excellent financial and commercial acumen. Desirable MRICS, MCIOB, or equivalent professional membership. Experience working on data centres, pharmaceutical, life sciences, healthcare, industrial, or large commercial projects. Experience managing commercial teams. Exposure to multi-project commercial management. Key Competencies Leadership and people development Commercial awareness and strategic thinking Contractual expertise Negotiation and influencing skills Financial management and reporting Risk and opportunity management Client relationship management Problem-solving and decision-making Communication and stakeholder engagement Career Development Opportunity This position is specifically designed for an ambitious Senior MEP Quantity Surveyor who aspires to progress into a Commercial MEP Manager role. The successful candidate will receive structured exposure to senior commercial leadership responsibilities, business strategy, team management, and multi-project oversight, creating a clear pathway for advancement within the organisation. Benefits: Free parking On-site parking Work Location: In person
Aug 25, 2026
Full time
Role Overview We are seeking an ambitious and commercially astute Senior MEP Quantity Surveyor to join our growing team. This role is ideally suited to an experienced MEP commercial professional who is looking to take the next step in their career toward becoming a Commercial MEP Manager. The successful candidate will be responsible for the commercial management of major mechanical and electrical packages from pre-construction through to final account, while developing the leadership, strategic thinking, and commercial management skills required for progression into a senior commercial management position at KES Group. The role offers a clear pathway into a Group Commercial MEP Manager position, with opportunities to lead teams, influence business strategy, and oversee the commercial performance of multiple projects. Key Responsibilities Commercial Management Lead the commercial management of MEP packages on large-scale construction projects. Prepare, manage, and report accurate project cost forecasts and cash flows. Monitor budgets, costs, risks, and opportunities throughout the project lifecycle. Prepare and submit monthly applications for payment and valuation reports. Negotiate and agree variations, change orders, and final accounts with clients and subcontractors. Ensure robust cost control procedures are implemented and maintained. Identify commercial risks and develop mitigation strategies. Procurement & Supply Chain Manage the procurement of mechanical and electrical subcontract packages. Prepare tender enquiries, analyse returns, and make procurement recommendations. Negotiate commercial terms and conditions with subcontractors and suppliers. Monitor subcontractor performance and commercial compliance. Contract Administration Administer contracts in accordance with client framework and typical contract forms. Manage contractual notifications, claims, and dispute resolution processes. Ensure contractual entitlements are protected and maximised. Maintain comprehensive project records and commercial documentation. Financial Reporting Produce accurate monthly CVRs (Cost Value Reconciliations). Support project and senior management teams with commercial reporting. Provide detailed analysis of project financial performance. Contribute to annual budgeting and business forecasting activities. Leadership & Development Mentor and support junior Quantity Surveyors and Assistant Quantity Surveyors as well as wider estimating and procurement teams. Take a lead role in commercial meetings with clients and project stakeholders. Support the development of commercial best practices across the business. Assist with the management and development of commercial teams. Act as a commercial leader within project teams and promote a culture of accountability and excellence. Strategic Progression Towards Commercial MEP Manager as part of the role, the Senior MEP QS will be expected to: Develop commercial leadership capabilities across multiple projects. Gain exposure to business planning and strategic commercial decision-making. Support resource planning and team management activities. Contribute to commercial governance and process improvement initiatives. Build strong client relationships to drive repeat business and commercial success. Demonstrate readiness for progression into a Commercial MEP Manager position. Required Experience & Qualifications Essential Degree qualified in Quantity Surveying, Commercial Management, Construction Economics, Engineering, or a related discipline advantageous. Minimum 5 + years' experience in MEP quantity surveying and commercial management. Strong knowledge of mechanical and electrical building services installations. Experience managing large-value MEP packages on major construction projects. Proven track record of successfully negotiating variations and final accounts. Strong understanding of construction contracts and commercial processes. Excellent financial and commercial acumen. Desirable MRICS, MCIOB, or equivalent professional membership. Experience working on data centres, pharmaceutical, life sciences, healthcare, industrial, or large commercial projects. Experience managing commercial teams. Exposure to multi-project commercial management. Key Competencies Leadership and people development Commercial awareness and strategic thinking Contractual expertise Negotiation and influencing skills Financial management and reporting Risk and opportunity management Client relationship management Problem-solving and decision-making Communication and stakeholder engagement Career Development Opportunity This position is specifically designed for an ambitious Senior MEP Quantity Surveyor who aspires to progress into a Commercial MEP Manager role. The successful candidate will receive structured exposure to senior commercial leadership responsibilities, business strategy, team management, and multi-project oversight, creating a clear pathway for advancement within the organisation. Benefits: Free parking On-site parking Work Location: In person
Ipsen in Wrexham is seeking a Process Scientist I to join the Manufacturing Science & Technology (MS&T) team, supporting commercial manufacturing operations at the site. You will work at the interface of science and manufacturing, providing technical expertise for drug substance and drug product processes. You will contribute to process optimisation, data analysis, and investigations, helping ensure products are delivered safely, efficiently, and to the highest quality standards.
Aug 25, 2026
Full time
Ipsen in Wrexham is seeking a Process Scientist I to join the Manufacturing Science & Technology (MS&T) team, supporting commercial manufacturing operations at the site. You will work at the interface of science and manufacturing, providing technical expertise for drug substance and drug product processes. You will contribute to process optimisation, data analysis, and investigations, helping ensure products are delivered safely, efficiently, and to the highest quality standards.
Join us to shape the future of payments technology by leading innovation in testing and integration. You will drive impactful change, leveraging advanced AI and automation to deliver high-quality solutions. At JPMorgan Chase, you'll collaborate with talented teams, foster a culture of trust, and help us set new standards in business assurance. Your leadership will empower growth, resilience, and continuous improvement. Be part of a team where your vision and expertise make a real difference. As a Product Delivery Director, Stability and Resiliency in Payments Technology, you will lead global teams focused on delivering high-quality business and client assurance testing for payments products, platforms, and services. You will set the vision for adopting advanced AI, data-driven validation, and automation to accelerate change and minimize risk. You will ensure robust governance and control for technology change, demonstrate value through measurable outcomes, and build trust through transparent communication. You will also coordinate the Regional Stability & Resiliency Forum for EMEA Payments, fostering collaboration and business resiliency. Job Responsibilities Set strategic vision to build change confidence, reduce lead time, and enhance AI and data-driven solutions in change delivery Lead delivery of business assurance and client testing for complex payments products, including Liquidity and Account Solutions Partner with CTO organizations to ensure platform assurance and build change confidence Transform change testing practices by advancing AI and data solutions to support business growth and regulatory commitments Ensure security, risk management, and compliance for all technology changes Proactively assess risks, elevate issues, and deliver solutions Foster a culture of trust, transparency, and partnership across teams and functions Provide stakeholders with regular updates on business outcomes, metrics, and KPIs Align testing strategies with production behaviors to improve change confidence and stability Lead and manage a diverse, global technology organization focused on high-quality testing and assurance Coordinate and chair the Regional Technology Stability & Resiliency Forum for EMEA Payments Required Qualifications, Capabilities, and Skills Bachelor's degree in Computer Science, Engineering, Business, or related field; Master's degree Experience in payments technology with a proven track record in leading technology delivery and managing complex, diverse teams. Understanding of the payments domain, Liquidity and Account Solutions in payments. Familiarity with regulatory and industry requirements in payments technology High emotional intelligence and stable leadership style, promoting a culture of continuous learning and innovation Ability to drive employee engagement and resilience through change Proficiency in product delivery, change management, and organizational development with knowledge of global payments products and regulatory requirements Advanced knowledge of AI, data, and development/testing methodologies Strong stakeholder management and ability to build trust across business and technology Outstanding communication, presentation, and interpersonal skills to engage executive leadership and foster collaboration Strong analytical and problem-solving skills focused on quantifying outcomes and value creation Ability to manage multiple priorities, resolve issues quickly, and drive continuous improvement Preferred Qualifications, Capabilities, and Skills Demonstrated success in leading organizational health and employee engagement initiatives Experience fostering a culture of innovation and continuous improvement Knowledge of regional stability and resiliency practices in payments Ability to influence and drive strategic initiatives across global teams
Aug 25, 2026
Full time
Join us to shape the future of payments technology by leading innovation in testing and integration. You will drive impactful change, leveraging advanced AI and automation to deliver high-quality solutions. At JPMorgan Chase, you'll collaborate with talented teams, foster a culture of trust, and help us set new standards in business assurance. Your leadership will empower growth, resilience, and continuous improvement. Be part of a team where your vision and expertise make a real difference. As a Product Delivery Director, Stability and Resiliency in Payments Technology, you will lead global teams focused on delivering high-quality business and client assurance testing for payments products, platforms, and services. You will set the vision for adopting advanced AI, data-driven validation, and automation to accelerate change and minimize risk. You will ensure robust governance and control for technology change, demonstrate value through measurable outcomes, and build trust through transparent communication. You will also coordinate the Regional Stability & Resiliency Forum for EMEA Payments, fostering collaboration and business resiliency. Job Responsibilities Set strategic vision to build change confidence, reduce lead time, and enhance AI and data-driven solutions in change delivery Lead delivery of business assurance and client testing for complex payments products, including Liquidity and Account Solutions Partner with CTO organizations to ensure platform assurance and build change confidence Transform change testing practices by advancing AI and data solutions to support business growth and regulatory commitments Ensure security, risk management, and compliance for all technology changes Proactively assess risks, elevate issues, and deliver solutions Foster a culture of trust, transparency, and partnership across teams and functions Provide stakeholders with regular updates on business outcomes, metrics, and KPIs Align testing strategies with production behaviors to improve change confidence and stability Lead and manage a diverse, global technology organization focused on high-quality testing and assurance Coordinate and chair the Regional Technology Stability & Resiliency Forum for EMEA Payments Required Qualifications, Capabilities, and Skills Bachelor's degree in Computer Science, Engineering, Business, or related field; Master's degree Experience in payments technology with a proven track record in leading technology delivery and managing complex, diverse teams. Understanding of the payments domain, Liquidity and Account Solutions in payments. Familiarity with regulatory and industry requirements in payments technology High emotional intelligence and stable leadership style, promoting a culture of continuous learning and innovation Ability to drive employee engagement and resilience through change Proficiency in product delivery, change management, and organizational development with knowledge of global payments products and regulatory requirements Advanced knowledge of AI, data, and development/testing methodologies Strong stakeholder management and ability to build trust across business and technology Outstanding communication, presentation, and interpersonal skills to engage executive leadership and foster collaboration Strong analytical and problem-solving skills focused on quantifying outcomes and value creation Ability to manage multiple priorities, resolve issues quickly, and drive continuous improvement Preferred Qualifications, Capabilities, and Skills Demonstrated success in leading organizational health and employee engagement initiatives Experience fostering a culture of innovation and continuous improvement Knowledge of regional stability and resiliency practices in payments Ability to influence and drive strategic initiatives across global teams
Locations: Guildford, Surrey, United Kingdom Role ID 215727 Worker Type Regular Employee Studio/Department CT - Security Work Model Hybrid Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. We are seeking a Senior Detection Engineer to advance our detection engineering strategy within the Enterprise Security team. This role is essential to safeguarding EA's cloud and production environments will directly impact our ability to detect, respond to, and prevent cyber threats at scale. As a senior individual contributor reporting to the Director of Threat Intelligence and Detections, you will play a central role in the technical leadership of the Detection Engineering team. You'll mentor junior engineers, help define engineering direction, and lead the development of scalable threat detection solutions, including those applying AI and cloud-native technologies. Responsibilities Technical Leadership Design and operationalize advanced detections across cloud, container, and on-prem environments. You will build integrations for diverse data sources (e.g., Wiz, host telemetry, network sensors) into EA's detection infrastructure. You will define detection lifecycle processes governance, and performance metrics. Lead development of AI-driven detection proof-of-concepts Guide peers in building scalable, maintainable detection infrastructure and tuning detection content. Support priorities like product detection assessments, threat-led risk prioritization, and production telemetry uplift. Minimum Qualifications Experience in detection engineering, security engineering, or software development with a focus on cybersecurity. Experience developing detections and integrations within SIEM platforms (e.g., Splunk, Elastic, QRadar), use of Risk-based alerting Familiarity with cybersecurity frameworks (e.g., MITRE ATT&CK, Cyber Kill Chain, NIST CSF). Experience with cloud security platforms (e.g., Wiz) and integrating their outputs into detection pipelines. Background in AI/ML or data science applied to cybersecurity detections. Understanding of cloud-native architectures, container security, and host-based detection. Experience leading PoCs or greenfield development plans in a complex security ecosystem. About Electronic Arts We're proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.
Aug 25, 2026
Full time
Locations: Guildford, Surrey, United Kingdom Role ID 215727 Worker Type Regular Employee Studio/Department CT - Security Work Model Hybrid Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. We are seeking a Senior Detection Engineer to advance our detection engineering strategy within the Enterprise Security team. This role is essential to safeguarding EA's cloud and production environments will directly impact our ability to detect, respond to, and prevent cyber threats at scale. As a senior individual contributor reporting to the Director of Threat Intelligence and Detections, you will play a central role in the technical leadership of the Detection Engineering team. You'll mentor junior engineers, help define engineering direction, and lead the development of scalable threat detection solutions, including those applying AI and cloud-native technologies. Responsibilities Technical Leadership Design and operationalize advanced detections across cloud, container, and on-prem environments. You will build integrations for diverse data sources (e.g., Wiz, host telemetry, network sensors) into EA's detection infrastructure. You will define detection lifecycle processes governance, and performance metrics. Lead development of AI-driven detection proof-of-concepts Guide peers in building scalable, maintainable detection infrastructure and tuning detection content. Support priorities like product detection assessments, threat-led risk prioritization, and production telemetry uplift. Minimum Qualifications Experience in detection engineering, security engineering, or software development with a focus on cybersecurity. Experience developing detections and integrations within SIEM platforms (e.g., Splunk, Elastic, QRadar), use of Risk-based alerting Familiarity with cybersecurity frameworks (e.g., MITRE ATT&CK, Cyber Kill Chain, NIST CSF). Experience with cloud security platforms (e.g., Wiz) and integrating their outputs into detection pipelines. Background in AI/ML or data science applied to cybersecurity detections. Understanding of cloud-native architectures, container security, and host-based detection. Experience leading PoCs or greenfield development plans in a complex security ecosystem. About Electronic Arts We're proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.
Team Leader - Corporate Bonds Data Location London Business Area Data Ref # Description & Requirements Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes. The Team Our Bloomberg New Issues Credit team is responsible for the timely and accurate publication of new bonds being brought to market. Responsibilities also include developing automated pipelines for ingestion and publication of new issue data, enhancing our primary markets dataset, and finding opportunities to expand our data product offering through client engagement. Our New Issues team works closely with internal consumers of our data including the News, Evaluated Pricing, and Index teams. We also heavily collaborate with our counterparts in Product, Sales & Engineering. What's the Role? We're looking for a strong motivated people leader to manage the Credit Bonds Data team in EMEA. In this role, you'll be leading a team of data modelling professionals and data engineers who are responsible for the acquisition and publication of data driving many critical products and services across the terminal. You'll coach and mentor team members, helping drive automation strategies to deliver faster, more accurate data and contribute to the broader product strategy around credit and primary markets. You'll also provide hands on guidance, lead technical discussions, and give direction and feedback to ICs in the team aligning to industry best practices and governance to ensure a future proof data model. We'll Trust You To: Lead and develop a high-performing team of data professionals, setting clear goals and fostering a culture of feedback, growth, and accountability. Apply cutting edge technologies including LLMs and Agentic AI to deliver higher quality, faster data whilst reducing the dependency on manual processes, helping to deliver cost and efficiency savings. Translate product and business requirements into a coherent data vision that allows us to expand the breadth of coverage, supporting evolving client needs and incorporating best practices of data management. Partner with data modelling teams to leverage corporate bond taxonomies, controlled vocabularies, and ontologies to improve the interoperability of our metadata models. Communicate progress, priorities, and technical concepts clearly across both technical and non-technical stakeholders. Partner with Product, Engineering, and SMEs and influence decision makers across the firm to align to shared data standards that improve the consistency of our data and client outcomes. You'll Need to Have: Demonstrated leadership capability, with 3+ years of experience managing people or leading large-scale regional projects Bachelor's degree, preferably in STEM, Economics, a quantitative social science, or related business field, or equivalent experience Experience in data management related role such as data quality, data modeling and/or data engineering, working with large datasets to quantify trends impacting the industry Experience with data analysis using tools such as Python, SQL, and/or Tableau / QSEN Excellent communication skills, allowing you to clearly communicate business needs and to advocate on behalf of your team as well as communicate business and operational strategy to your team Deep understanding of fixed income credit, particularly focused around corporate bonds. Ability to spot market trends and act on them to enhance depth and breadth of coverage Ability to demonstrate qualitative and quantitative evidence to drive commercial decisions, and use statistics and data visualization skills to report on results of ongoing operations and projects, as required Strategic vision to align team goals around providing outstanding service to the business and other internal/external clients, and the ability to implement a business and people strategy which delivers on that vision Proven ability to establish strong credibility and build influential relationships with multiple internal and external partners We'd Love to See: Demonstrated experience in fixed income or financial datasets (especially within credit markets). Prior experience building scalable automation pipelines for data validation and model maintenance. Knowledge of Bloomberg data products and enterprise offerings. If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role. Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Aug 25, 2026
Full time
Team Leader - Corporate Bonds Data Location London Business Area Data Ref # Description & Requirements Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes. The Team Our Bloomberg New Issues Credit team is responsible for the timely and accurate publication of new bonds being brought to market. Responsibilities also include developing automated pipelines for ingestion and publication of new issue data, enhancing our primary markets dataset, and finding opportunities to expand our data product offering through client engagement. Our New Issues team works closely with internal consumers of our data including the News, Evaluated Pricing, and Index teams. We also heavily collaborate with our counterparts in Product, Sales & Engineering. What's the Role? We're looking for a strong motivated people leader to manage the Credit Bonds Data team in EMEA. In this role, you'll be leading a team of data modelling professionals and data engineers who are responsible for the acquisition and publication of data driving many critical products and services across the terminal. You'll coach and mentor team members, helping drive automation strategies to deliver faster, more accurate data and contribute to the broader product strategy around credit and primary markets. You'll also provide hands on guidance, lead technical discussions, and give direction and feedback to ICs in the team aligning to industry best practices and governance to ensure a future proof data model. We'll Trust You To: Lead and develop a high-performing team of data professionals, setting clear goals and fostering a culture of feedback, growth, and accountability. Apply cutting edge technologies including LLMs and Agentic AI to deliver higher quality, faster data whilst reducing the dependency on manual processes, helping to deliver cost and efficiency savings. Translate product and business requirements into a coherent data vision that allows us to expand the breadth of coverage, supporting evolving client needs and incorporating best practices of data management. Partner with data modelling teams to leverage corporate bond taxonomies, controlled vocabularies, and ontologies to improve the interoperability of our metadata models. Communicate progress, priorities, and technical concepts clearly across both technical and non-technical stakeholders. Partner with Product, Engineering, and SMEs and influence decision makers across the firm to align to shared data standards that improve the consistency of our data and client outcomes. You'll Need to Have: Demonstrated leadership capability, with 3+ years of experience managing people or leading large-scale regional projects Bachelor's degree, preferably in STEM, Economics, a quantitative social science, or related business field, or equivalent experience Experience in data management related role such as data quality, data modeling and/or data engineering, working with large datasets to quantify trends impacting the industry Experience with data analysis using tools such as Python, SQL, and/or Tableau / QSEN Excellent communication skills, allowing you to clearly communicate business needs and to advocate on behalf of your team as well as communicate business and operational strategy to your team Deep understanding of fixed income credit, particularly focused around corporate bonds. Ability to spot market trends and act on them to enhance depth and breadth of coverage Ability to demonstrate qualitative and quantitative evidence to drive commercial decisions, and use statistics and data visualization skills to report on results of ongoing operations and projects, as required Strategic vision to align team goals around providing outstanding service to the business and other internal/external clients, and the ability to implement a business and people strategy which delivers on that vision Proven ability to establish strong credibility and build influential relationships with multiple internal and external partners We'd Love to See: Demonstrated experience in fixed income or financial datasets (especially within credit markets). Prior experience building scalable automation pipelines for data validation and model maintenance. Knowledge of Bloomberg data products and enterprise offerings. If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role. Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Come join the organization that is redefining security for the AI era. As one of the fastest-growing startups ever, we enable teams to secure cloud and AI applications by connecting code, cloud, and runtime into a single shared context. Trusted by security teams all over the world, we have a proven track record of success and a culture that values world-class talent. Not to mention, we're now powered by Google, meaning we offer our customers an AI-powered platform that harnesses Google's Threat Intelligence and Security Operations to better detect, prevent, and respond to threats across all environments, allowing for further innovation. Our Wizards from all over the globe work together to protect the infrastructure of our customers, including over 65% of the Fortune 100, who trust us to scan and secure over 230 billion files daily. We're honored to be a leading player in a massive and growing market, and we continue to look for exceptional Wizards who are eager to make a significant impact on our team. At Wiz, you'll have the freedom to think creatively, dream big, and use your full range of skills to contribute to our momentous growth. Come join our team and help us create secure cloud environments that allow even the best companies to move faster, all while having some fun! Role Description Wiz is looking for a Security Engineer for Product & Production Infrastructure who has experience performing security reviews, vulnerability management, and detection and response operations in cloud-native environments. You'll get to collaborate with our software development and DevOps teams to secure Wiz's products, CI/CD infrastructure, and production infrastructure. You'll also have the opportunity to influence our product roadmap by utilizing Wiz-for-Wiz to assess, monitor, and harden our environments. Responsibilities Lead threat modeling and security reviews across Wiz's products and cloud infrastructure, identifying attack surfaces and developing scalable mitigation strategies. Build automation, policy-as-code, and security tooling that enables development teams to "shift left" and integrate end-to-end security into their workflows. Design and implement secure baselines for cloud resources and Kubernetes based infrastructure. Drive vulnerability management and remediation efforts - prioritizing issues, implementing mitigations, and designing strategic preventative controls in software supply chains from development through production. Extend our detection and response capabilities - building scalable solutions to identify malicious activity, triage alerts, and investigate and remediate incidents. Build deep functional partnerships with Wiz's engineering and operations teams - helping them deliver secure-by-design solutions. Minimum qualifications 7+ years of experience in security engineering or security operations work in cloud environments. Experience with AWS cloud security (or equivalent experience in Azure and GCP with some level of AWS experience). Experience with cloud native Kubernetes services (EKS/GKE/AKS) and container security principles. Experience securing IAM and cloud identities at scale. Experience leading technical security reviews of products and architectures, conducting threat modeling exercises, and translating findings into actionable security controls. Practical understanding of web application security concepts (such as OWASP Top-10 and similar). Hands-on experience with IaC and related tools (Terraform, CloudFormation, Helm, Pulumi). Experience with automation and tooling development in one or more of the following: Python, Go, Shell, HCL, Rego. Preferred qualifications Bachelor's degree in computer science or a related field, and/or equivalent job experience in lieu of a degree. Experience working with remote, globally distributed teams. Experience working in organizations that develop software and/or operate managed infrastructure and technology services for their own customers. Experience with CNAPP, CSPM, or CIEM solutions. Applicants must have the legal right to work in the country where the position is based, without the need for visa sponsorship. This role does not offer visa sponsorship. Wiz is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. By submitting your application, you acknowledge that Wiz will process your personal data in accordance with Wiz's Privacy Policy.
Aug 25, 2026
Full time
Come join the organization that is redefining security for the AI era. As one of the fastest-growing startups ever, we enable teams to secure cloud and AI applications by connecting code, cloud, and runtime into a single shared context. Trusted by security teams all over the world, we have a proven track record of success and a culture that values world-class talent. Not to mention, we're now powered by Google, meaning we offer our customers an AI-powered platform that harnesses Google's Threat Intelligence and Security Operations to better detect, prevent, and respond to threats across all environments, allowing for further innovation. Our Wizards from all over the globe work together to protect the infrastructure of our customers, including over 65% of the Fortune 100, who trust us to scan and secure over 230 billion files daily. We're honored to be a leading player in a massive and growing market, and we continue to look for exceptional Wizards who are eager to make a significant impact on our team. At Wiz, you'll have the freedom to think creatively, dream big, and use your full range of skills to contribute to our momentous growth. Come join our team and help us create secure cloud environments that allow even the best companies to move faster, all while having some fun! Role Description Wiz is looking for a Security Engineer for Product & Production Infrastructure who has experience performing security reviews, vulnerability management, and detection and response operations in cloud-native environments. You'll get to collaborate with our software development and DevOps teams to secure Wiz's products, CI/CD infrastructure, and production infrastructure. You'll also have the opportunity to influence our product roadmap by utilizing Wiz-for-Wiz to assess, monitor, and harden our environments. Responsibilities Lead threat modeling and security reviews across Wiz's products and cloud infrastructure, identifying attack surfaces and developing scalable mitigation strategies. Build automation, policy-as-code, and security tooling that enables development teams to "shift left" and integrate end-to-end security into their workflows. Design and implement secure baselines for cloud resources and Kubernetes based infrastructure. Drive vulnerability management and remediation efforts - prioritizing issues, implementing mitigations, and designing strategic preventative controls in software supply chains from development through production. Extend our detection and response capabilities - building scalable solutions to identify malicious activity, triage alerts, and investigate and remediate incidents. Build deep functional partnerships with Wiz's engineering and operations teams - helping them deliver secure-by-design solutions. Minimum qualifications 7+ years of experience in security engineering or security operations work in cloud environments. Experience with AWS cloud security (or equivalent experience in Azure and GCP with some level of AWS experience). Experience with cloud native Kubernetes services (EKS/GKE/AKS) and container security principles. Experience securing IAM and cloud identities at scale. Experience leading technical security reviews of products and architectures, conducting threat modeling exercises, and translating findings into actionable security controls. Practical understanding of web application security concepts (such as OWASP Top-10 and similar). Hands-on experience with IaC and related tools (Terraform, CloudFormation, Helm, Pulumi). Experience with automation and tooling development in one or more of the following: Python, Go, Shell, HCL, Rego. Preferred qualifications Bachelor's degree in computer science or a related field, and/or equivalent job experience in lieu of a degree. Experience working with remote, globally distributed teams. Experience working in organizations that develop software and/or operate managed infrastructure and technology services for their own customers. Experience with CNAPP, CSPM, or CIEM solutions. Applicants must have the legal right to work in the country where the position is based, without the need for visa sponsorship. This role does not offer visa sponsorship. Wiz is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. By submitting your application, you acknowledge that Wiz will process your personal data in accordance with Wiz's Privacy Policy.
Reporting to: Petr Znamenskiy, Group Leader Contract term: This is a fixed term (36 months) position on Crick terms and conditions of employment. About us The Francis Crick Institute is Europe's largest biomedical research institute under one roof. Our world-class scientists and staff collaborate on vital research to help prevent, diagnose and treat illnesses such as cancer, heart disease, infectious diseases and neurodegenerative conditions. The Crick is a place for collaboration, innovation and exploration across many disciplines. A space where the brightest minds can pursue big and bold ideas and discover answers to crucial scientific questions. We support them in a dynamic environment which fosters excellence with state-of-the-art infrastructure, cutting-edge facilities, and a creative and curious culture. We've removed traditional boundaries of departments, divisions and disciplines and instead have an open approach that supports every researcher. This gives us the freedom to take risks and carry out high-quality, pioneering research. Creating a space for discovery without boundaries helps us to turn our science into benefits for human health and the economy. The Research Group The Znamenskiy lab studies the relationship between in vivo function, synaptic organization, and molecular identity of cortical neurons. Using the primary visual cortex as a model, we aim to understand how connections between neuronal cell types are organized and how this organization enables the computations they perform. To achieve this, we combine systems and molecular neuroscience approaches and develop new tools to relate gene expression and connectivity to neuronal activity. Our current research focuses on how visual cortical circuits enable animals to interpret the three-dimensional structure of visual scenes. Details of research projects currently being undertaken can be seen at . About the role We are looking for a collaborative, individual to support the lab's spatial transcriptomics pipeline using a custom-built in situ sequencing platform, helping to link in vivo function, gene expression and connectivity of cortical neurons. Individual cortical neurons receive thousands of synaptic inputs and send long-range projections that often broadcast output to multiple target structures. How these connectivity patterns relate to the molecular makeup of individual cells remains poorly understood. To address this question, we combine high-throughput reconstruction of neuronal connectivity using molecular barcodes with single-neuron gene expression analysis through in situ sequencing. Using custom-built in situ sequencing platforms, we measure the expression of hundreds of genes in intact tissue sections alongside viral barcodes, which are used to reconstruct synaptic connections and map projection patterns of individual neurons. We welcome applications from candidates at different stages of their scientific career so this would be an excellent opportunity for recent graduates. Appointment can be made at either Laboratory Research Scientist or Senior Laboratory Research Scientist level, commensurate with experience and achievements. All training will be provided in house. What you will be doing Preparing tissue for in situ sequencing Developing and optimising in situ sequencing protocols Ordering and maintain inventories of in situ sequencing reagents Developing custom gene panels for profiling cell identity and cell state in situ Conducting quality control and preliminary analysis on in situ sequencing data Maintaining and developing the sequencing setup Training other users in this lab and other labs in the collection and analysis of in situ sequencing data A degree or equivalent experience (BSc / MSc for LRS, PhD for SLRS) in Molecular Biology, Neuroscience, Bioengineering, or a closely related field Hands on experience with RNA/DNA handling and / or tissue processing (e.g., fluorescence in situ hybridization (FISH), RNAscope) Experience operating and troubleshooting epifluorescence or confocal microscopes Basic proficiency in a programming language (Python, R, or MATLAB) to conduct quality control, process images, and handle preliminary data analysis Demonstrated ability to independently optimize complex experimental protocols, maintain records, and manage inventories Excellent communication skills, with a proven ability to train others and collaborate across projects Experience with in situ sequencing, spatial transcriptomics (e.g., MERFISH, seqFISH, Xenium), or single-cell RNA-seq pipelines (desirable) About Working at the Crick Our values Everyone who works at the Crick has a valuable role to play in advancing the Crick's mission and shaping our culture. We arebold. We make space for creative, dynamic and imaginative ideas and approaches. We're not afraid to do things differently. We areopen. We're highly collaborative and interactive, and make sure our activities are visible to the outside world. We arecollegial. We show respect for one another, work cooperatively and support the wider community. At the Francis Crick Institute, we believe that diversity and inclusion are essential to driving innovation and scientific discovery. We are committed to creating a workplace where everyone feels valued, respected, and empowered to succeed, regardless of their background, identity, or personal circumstances. We actively encourage applications from individuals of all genders, ethnicities, abilities, and experiences. Weare aDisability Confident: Committedemployer andwant to ensure that everyone can apply and be part of our recruitment processes and sowe'llmake reasonable adjustments if you need them - just let us know when you apply. If you needassistancewith applying (i.e., would like to apply by phone or post) please email: At the Francis Crick Institute, we value our team members and are proud to offer an extensive range of benefits to support their well-being and development: Visas: Applicants for this role will be eligible for sponsorship to work in the UK Generous Leave: 28 days of annual leave, plus three additional days over Christmas and bank holidays. Pension Scheme: Defined contribution pension with employer contributions of up to 16%. 24/7 GP consultation services. Occupational health services and mental health support programs. Eye care vouchers and discounted healthcare plans. Work-Life Balance: Childcare support allowance. Annual leave purchase options. Crick Networks offering diverse groups' support, community and inclusive social events. Discounted gym memberships, bike-to-work scheme, and shopping discounts. Subsidised on-site restaurant and social spaces for team interaction. Please note you must meet the essential criteria listed within the Role Profile, to have your application reviewed. We reserve the right to withdraw this advert at any given time due to the number of applications received.
Aug 25, 2026
Full time
Reporting to: Petr Znamenskiy, Group Leader Contract term: This is a fixed term (36 months) position on Crick terms and conditions of employment. About us The Francis Crick Institute is Europe's largest biomedical research institute under one roof. Our world-class scientists and staff collaborate on vital research to help prevent, diagnose and treat illnesses such as cancer, heart disease, infectious diseases and neurodegenerative conditions. The Crick is a place for collaboration, innovation and exploration across many disciplines. A space where the brightest minds can pursue big and bold ideas and discover answers to crucial scientific questions. We support them in a dynamic environment which fosters excellence with state-of-the-art infrastructure, cutting-edge facilities, and a creative and curious culture. We've removed traditional boundaries of departments, divisions and disciplines and instead have an open approach that supports every researcher. This gives us the freedom to take risks and carry out high-quality, pioneering research. Creating a space for discovery without boundaries helps us to turn our science into benefits for human health and the economy. The Research Group The Znamenskiy lab studies the relationship between in vivo function, synaptic organization, and molecular identity of cortical neurons. Using the primary visual cortex as a model, we aim to understand how connections between neuronal cell types are organized and how this organization enables the computations they perform. To achieve this, we combine systems and molecular neuroscience approaches and develop new tools to relate gene expression and connectivity to neuronal activity. Our current research focuses on how visual cortical circuits enable animals to interpret the three-dimensional structure of visual scenes. Details of research projects currently being undertaken can be seen at . About the role We are looking for a collaborative, individual to support the lab's spatial transcriptomics pipeline using a custom-built in situ sequencing platform, helping to link in vivo function, gene expression and connectivity of cortical neurons. Individual cortical neurons receive thousands of synaptic inputs and send long-range projections that often broadcast output to multiple target structures. How these connectivity patterns relate to the molecular makeup of individual cells remains poorly understood. To address this question, we combine high-throughput reconstruction of neuronal connectivity using molecular barcodes with single-neuron gene expression analysis through in situ sequencing. Using custom-built in situ sequencing platforms, we measure the expression of hundreds of genes in intact tissue sections alongside viral barcodes, which are used to reconstruct synaptic connections and map projection patterns of individual neurons. We welcome applications from candidates at different stages of their scientific career so this would be an excellent opportunity for recent graduates. Appointment can be made at either Laboratory Research Scientist or Senior Laboratory Research Scientist level, commensurate with experience and achievements. All training will be provided in house. What you will be doing Preparing tissue for in situ sequencing Developing and optimising in situ sequencing protocols Ordering and maintain inventories of in situ sequencing reagents Developing custom gene panels for profiling cell identity and cell state in situ Conducting quality control and preliminary analysis on in situ sequencing data Maintaining and developing the sequencing setup Training other users in this lab and other labs in the collection and analysis of in situ sequencing data A degree or equivalent experience (BSc / MSc for LRS, PhD for SLRS) in Molecular Biology, Neuroscience, Bioengineering, or a closely related field Hands on experience with RNA/DNA handling and / or tissue processing (e.g., fluorescence in situ hybridization (FISH), RNAscope) Experience operating and troubleshooting epifluorescence or confocal microscopes Basic proficiency in a programming language (Python, R, or MATLAB) to conduct quality control, process images, and handle preliminary data analysis Demonstrated ability to independently optimize complex experimental protocols, maintain records, and manage inventories Excellent communication skills, with a proven ability to train others and collaborate across projects Experience with in situ sequencing, spatial transcriptomics (e.g., MERFISH, seqFISH, Xenium), or single-cell RNA-seq pipelines (desirable) About Working at the Crick Our values Everyone who works at the Crick has a valuable role to play in advancing the Crick's mission and shaping our culture. We arebold. We make space for creative, dynamic and imaginative ideas and approaches. We're not afraid to do things differently. We areopen. We're highly collaborative and interactive, and make sure our activities are visible to the outside world. We arecollegial. We show respect for one another, work cooperatively and support the wider community. At the Francis Crick Institute, we believe that diversity and inclusion are essential to driving innovation and scientific discovery. We are committed to creating a workplace where everyone feels valued, respected, and empowered to succeed, regardless of their background, identity, or personal circumstances. We actively encourage applications from individuals of all genders, ethnicities, abilities, and experiences. Weare aDisability Confident: Committedemployer andwant to ensure that everyone can apply and be part of our recruitment processes and sowe'llmake reasonable adjustments if you need them - just let us know when you apply. If you needassistancewith applying (i.e., would like to apply by phone or post) please email: At the Francis Crick Institute, we value our team members and are proud to offer an extensive range of benefits to support their well-being and development: Visas: Applicants for this role will be eligible for sponsorship to work in the UK Generous Leave: 28 days of annual leave, plus three additional days over Christmas and bank holidays. Pension Scheme: Defined contribution pension with employer contributions of up to 16%. 24/7 GP consultation services. Occupational health services and mental health support programs. Eye care vouchers and discounted healthcare plans. Work-Life Balance: Childcare support allowance. Annual leave purchase options. Crick Networks offering diverse groups' support, community and inclusive social events. Discounted gym memberships, bike-to-work scheme, and shopping discounts. Subsidised on-site restaurant and social spaces for team interaction. Please note you must meet the essential criteria listed within the Role Profile, to have your application reviewed. We reserve the right to withdraw this advert at any given time due to the number of applications received.
Join a team that's transforming drug development At CatSci, we partner with our clients to solve complex scientific problems and accelerate the delivery of life changing medicines. We're now looking for a Scientist/Senior Scientist - Crystallisation & Solid State to join our scientific team and play a key role in delivering high quality, client focused science. If you're a hands on scientist who enjoys variety, collaboration, and seeing your work make a real impact, we'd love to hear from you. We are especially keen to hear from people with industrial experience in a manufacturing environment. About CatSci Founded in 2010 by former AstraZeneca scientists, we began as a catalyst screening specialist before evolving into a fully integrated innovation partner for complex synthetic medicines. What started in a single lab in Cardiff has expanded across 14 state-of-the art laboratories across the UK and Europe. Over the past decade, we've expanded into process chemistry, analytical development, oligonucleotides, peptides, and today, CatSci stands as a trusted drug development partner to more than 100 biotechs and global pharma companies. We pride ourselves on creating an environment where all our employees can flourish. As part of our team, you'll thrive on a culture of continuous improvement and always be encouraged to be the best version of yourself. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. The Role As a Scientist/Senior Scientist at CatSci, you'll work collaboratively on a range of client programmes, applying your technical expertise to solve challenging problems across drug discovery and development. You'll deliver high quality experimental work, contribute to project success, and support the development of colleagues within a supportive, inclusive environment. This is an excellent opportunity for an experienced materials scientist ready to take the next step in responsibility while remaining close to the science. What you'll be doing Designing, executing, and interpreting complex experimental studies in materials science, across our customer project portfolio Using chemical engineering principles, model-based design of experiments and control approaches to design and optimise crystallisation, isolation and drying operations for pharmaceutical materials Using crystallisation and solid-state expertise to design and execute experimental plans in Salt, Polymorph, and Co-crystal screening projects Supporting continuous improvement of workflows and technologies that develop CatSci's solid state capability Use of thermal, spectroscopic, microscopy and particle characterisation methods Working effectively across functional boundaries and with our client teams to achieve project needs and share opportunities and challenges Taking personal responsibility for the quality, integrity, communication and delivery of crystallisation science on your projects, and maintaining strong operational relationships with customers About you You'll bring strong scientific expertise, curiosity, and a pragmatic, solutions focused mindset. You'll enjoy working across projects and collaborating with others to deliver real value for clients. The ideal candidate will have: PhD (or BSc/Masters plus equivalent industrial experience to PhD) in Chemical Engineering, Chemistry, Pharmacy, or Pharmaceutical Science, with a technical focus on pharmaceutical crystallisation and polymorphism Additional industrial experience beyond PhD, ideally in a manufacturing-oriented environment State of the art knowledge of crystallisation methodologies relevant to drug substances Knowledge and understanding of the implications of Drug Substance manufacture on Drug Product development and manufacturing Proven history of delivering projects on time and to a high level of scientific rigour Ability to deliver a high and safe standard of laboratory work whilst simultaneously delivering value to multiple projects Familiarity with process analytical technologies in the context of crystallisation process development (desired) Knowledge of data analytics and data visualisation tools (desired) Person Specification Self motivated and results oriented with a clear personal focus on delivering demanding project objectives Ability to thoroughly assess scientific problems/challenges and propose multiple solutions with clear scientific rationale, and to prioritise the proposed solutions Good communicator, using written and verbal media, for internal and external collaboration Enthusiastic and willing to learn; keen for challenging new experiences and scientific accountability Works well both independently and collaboratively with others to ensure collective goals are achieved Demonstrates a genuine commitment to the time and effort needed to develop oneself and others Understands customers' needs and uses that insight to provide value Why join CatSci? Work on varied, impactful client projects at the cutting edge of drug development A supportive, inclusive culture where people can thrive Genuine investment in your learning, development, and career progression A strong wellbeing offer and enhanced family friendly benefits CatSci is proud to be aDisability Confident Employer,Living Wage Employer, and an inclusive workplace where everyone is encouraged to be their authentic self. Benefits Competitive salary: £31,370- £50,000 per annum (depending on experience) 25 days annual leave+ 8 days bank holiday 2 volunteer/charity days per year Long service awards Annual bonus Company pension Wellbeing Program including EAP and financial support options Private medical insurance Death in service cover Learning and Development opportunities and more great benefits! As an equal opportunities employer, we will provide reasonable support to disabled applicants throughout the recruitment process. If you require any adjustments in order to attend/ perform in the interview, please do not hesitate to let us know.
Aug 25, 2026
Full time
Join a team that's transforming drug development At CatSci, we partner with our clients to solve complex scientific problems and accelerate the delivery of life changing medicines. We're now looking for a Scientist/Senior Scientist - Crystallisation & Solid State to join our scientific team and play a key role in delivering high quality, client focused science. If you're a hands on scientist who enjoys variety, collaboration, and seeing your work make a real impact, we'd love to hear from you. We are especially keen to hear from people with industrial experience in a manufacturing environment. About CatSci Founded in 2010 by former AstraZeneca scientists, we began as a catalyst screening specialist before evolving into a fully integrated innovation partner for complex synthetic medicines. What started in a single lab in Cardiff has expanded across 14 state-of-the art laboratories across the UK and Europe. Over the past decade, we've expanded into process chemistry, analytical development, oligonucleotides, peptides, and today, CatSci stands as a trusted drug development partner to more than 100 biotechs and global pharma companies. We pride ourselves on creating an environment where all our employees can flourish. As part of our team, you'll thrive on a culture of continuous improvement and always be encouraged to be the best version of yourself. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. The Role As a Scientist/Senior Scientist at CatSci, you'll work collaboratively on a range of client programmes, applying your technical expertise to solve challenging problems across drug discovery and development. You'll deliver high quality experimental work, contribute to project success, and support the development of colleagues within a supportive, inclusive environment. This is an excellent opportunity for an experienced materials scientist ready to take the next step in responsibility while remaining close to the science. What you'll be doing Designing, executing, and interpreting complex experimental studies in materials science, across our customer project portfolio Using chemical engineering principles, model-based design of experiments and control approaches to design and optimise crystallisation, isolation and drying operations for pharmaceutical materials Using crystallisation and solid-state expertise to design and execute experimental plans in Salt, Polymorph, and Co-crystal screening projects Supporting continuous improvement of workflows and technologies that develop CatSci's solid state capability Use of thermal, spectroscopic, microscopy and particle characterisation methods Working effectively across functional boundaries and with our client teams to achieve project needs and share opportunities and challenges Taking personal responsibility for the quality, integrity, communication and delivery of crystallisation science on your projects, and maintaining strong operational relationships with customers About you You'll bring strong scientific expertise, curiosity, and a pragmatic, solutions focused mindset. You'll enjoy working across projects and collaborating with others to deliver real value for clients. The ideal candidate will have: PhD (or BSc/Masters plus equivalent industrial experience to PhD) in Chemical Engineering, Chemistry, Pharmacy, or Pharmaceutical Science, with a technical focus on pharmaceutical crystallisation and polymorphism Additional industrial experience beyond PhD, ideally in a manufacturing-oriented environment State of the art knowledge of crystallisation methodologies relevant to drug substances Knowledge and understanding of the implications of Drug Substance manufacture on Drug Product development and manufacturing Proven history of delivering projects on time and to a high level of scientific rigour Ability to deliver a high and safe standard of laboratory work whilst simultaneously delivering value to multiple projects Familiarity with process analytical technologies in the context of crystallisation process development (desired) Knowledge of data analytics and data visualisation tools (desired) Person Specification Self motivated and results oriented with a clear personal focus on delivering demanding project objectives Ability to thoroughly assess scientific problems/challenges and propose multiple solutions with clear scientific rationale, and to prioritise the proposed solutions Good communicator, using written and verbal media, for internal and external collaboration Enthusiastic and willing to learn; keen for challenging new experiences and scientific accountability Works well both independently and collaboratively with others to ensure collective goals are achieved Demonstrates a genuine commitment to the time and effort needed to develop oneself and others Understands customers' needs and uses that insight to provide value Why join CatSci? Work on varied, impactful client projects at the cutting edge of drug development A supportive, inclusive culture where people can thrive Genuine investment in your learning, development, and career progression A strong wellbeing offer and enhanced family friendly benefits CatSci is proud to be aDisability Confident Employer,Living Wage Employer, and an inclusive workplace where everyone is encouraged to be their authentic self. Benefits Competitive salary: £31,370- £50,000 per annum (depending on experience) 25 days annual leave+ 8 days bank holiday 2 volunteer/charity days per year Long service awards Annual bonus Company pension Wellbeing Program including EAP and financial support options Private medical insurance Death in service cover Learning and Development opportunities and more great benefits! As an equal opportunities employer, we will provide reasonable support to disabled applicants throughout the recruitment process. If you require any adjustments in order to attend/ perform in the interview, please do not hesitate to let us know.
CAPGEMINI INVENT At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Join our AI Strategy team and be part of the future of AI consulting. We are redefining how organisations adopt and scale AI by embedding Generative AI, agentic systems, and copilots into every aspect of how they operate, compete, and create value. We are looking for experienced Strategy and AI leaders with strong commercial acumen, individuals who understand AI technologies and can translate them into enterprise wide transformation. You will lead engagements from strategy through to execution, enabling the shift toward AI enabled enterprises whilst contributing to the growth of our AI Strategy practice. YOUR ROLE If you are passionate about creating impactful AI solutions that solve real world problems, this is the role for you. You should apply if you have a strong background in AI delivery, experience designing innovative products, and a collaborative mindset that fosters learning. You will be responsible for defining and executing the vision and strategy for AI products and services - driving value creation for organisations and users. You should apply if you have previous experience in AI development, a deep understanding of the market dynamics and challenges, and are confident leading and collaborating with cross functional teams of AI experts and business partners. Explore the art of the possible with AI Identify opportunities for emerging technologies to transform organisation, create value and solve real problems Lead Innovation sessions to accelerate idea generation through strategic discovery and horizon scanning - using design thinking to generate potential solutions Accelerate impact with AI Test ideas through rapid experimentation and proof of value generation, being unafraid to fail fast Turn ideas into product definitions that solve the root cause of pain points, continuously iterating with real users to ensure user focussed design Enable change with AI Re imagine operations and/or introduce new capabilities by integrating AI products into existing processes Set up, run and scale AI innovation capabilities by building the right culture and operating model with a focus on sustainability YOUR PROFILE A strong understanding of AI products and their applications in various domains and industries Experience in leading, shaping and delivery of complex AI projects across multiple workstreams Ability to lead teams to design and execute pilots to test and validate AI solutions, and proven ability to operationalise these AI solutions Excellent communication, storytelling and collaboration skills with internal and external stakeholders A growth mindset and a passion for learning and experimenting with new technologies Experience with agile methodologies and tools for AI product lifecycle management Hands on experience with Design Thinking principals and user centred design Ability to define and communicate a clear and compelling vision and strategy for an AI product portfolio Experience scoping and developing proposals for new AI opportunities Experience with the commercial management of a project, including costing and resourcing Experience managing and upskilling others, championing personal development and capability development WHAT YOU'LL LOVE ABOUT WORKING HERE? Our team drives business transformation by designing the organisations of the future, delivering end to end blueprints for AI enabled enterprises. We are at the cutting edge of the 4th industrial revolution and are uniquely placed to leverage the broad, market leading capabilities of Capgemini Group. We work across a wide range of industries, delivering outcomes that make a real impact on society. You'll have the freedom to experiment, innovate and shape your own career path, supported by mentoring from our leading experts in data and AI. We are delighted to have received the "Glassdoor Best Places to work UK" accolade for 5 consecutive years. To see what it's like to work at Capgemini Invent, visit our Glassdoor page. NEED TO KNOW At Capgemini we don't just believe in inclusion, we actively go out to make it a working reality. Driven by our core values and Inclusive Futures for All campaign, we build environments where you can bring you whole self to work. We aim to build an environment where employees can enjoy a positive work life balance. We embed hybrid working in all that we do and make flexible working arrangements the day to day reality for our people. All UK employees are eligible to request flexible working arrangements. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained 'Mental Health Champions' across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy. Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government's Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who declare they have a disability and meet the minimum essential criteria for the role. Please opt in during the application process. CSR: We're also focused on using tech to have a positive social impact. So, we're working to reduce our own carbon footprint and improve everyone's access to a digital world. It's something we're really serious about. In fact, we were even named as one of the world's most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, you'll join a team that does the right thing. Whilst you will have London, Manchester or Glasgow as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice. We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance. ABOUT CAPGEMINI Capgemini is an AI powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end to end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5billion.
Aug 25, 2026
Full time
CAPGEMINI INVENT At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Join our AI Strategy team and be part of the future of AI consulting. We are redefining how organisations adopt and scale AI by embedding Generative AI, agentic systems, and copilots into every aspect of how they operate, compete, and create value. We are looking for experienced Strategy and AI leaders with strong commercial acumen, individuals who understand AI technologies and can translate them into enterprise wide transformation. You will lead engagements from strategy through to execution, enabling the shift toward AI enabled enterprises whilst contributing to the growth of our AI Strategy practice. YOUR ROLE If you are passionate about creating impactful AI solutions that solve real world problems, this is the role for you. You should apply if you have a strong background in AI delivery, experience designing innovative products, and a collaborative mindset that fosters learning. You will be responsible for defining and executing the vision and strategy for AI products and services - driving value creation for organisations and users. You should apply if you have previous experience in AI development, a deep understanding of the market dynamics and challenges, and are confident leading and collaborating with cross functional teams of AI experts and business partners. Explore the art of the possible with AI Identify opportunities for emerging technologies to transform organisation, create value and solve real problems Lead Innovation sessions to accelerate idea generation through strategic discovery and horizon scanning - using design thinking to generate potential solutions Accelerate impact with AI Test ideas through rapid experimentation and proof of value generation, being unafraid to fail fast Turn ideas into product definitions that solve the root cause of pain points, continuously iterating with real users to ensure user focussed design Enable change with AI Re imagine operations and/or introduce new capabilities by integrating AI products into existing processes Set up, run and scale AI innovation capabilities by building the right culture and operating model with a focus on sustainability YOUR PROFILE A strong understanding of AI products and their applications in various domains and industries Experience in leading, shaping and delivery of complex AI projects across multiple workstreams Ability to lead teams to design and execute pilots to test and validate AI solutions, and proven ability to operationalise these AI solutions Excellent communication, storytelling and collaboration skills with internal and external stakeholders A growth mindset and a passion for learning and experimenting with new technologies Experience with agile methodologies and tools for AI product lifecycle management Hands on experience with Design Thinking principals and user centred design Ability to define and communicate a clear and compelling vision and strategy for an AI product portfolio Experience scoping and developing proposals for new AI opportunities Experience with the commercial management of a project, including costing and resourcing Experience managing and upskilling others, championing personal development and capability development WHAT YOU'LL LOVE ABOUT WORKING HERE? Our team drives business transformation by designing the organisations of the future, delivering end to end blueprints for AI enabled enterprises. We are at the cutting edge of the 4th industrial revolution and are uniquely placed to leverage the broad, market leading capabilities of Capgemini Group. We work across a wide range of industries, delivering outcomes that make a real impact on society. You'll have the freedom to experiment, innovate and shape your own career path, supported by mentoring from our leading experts in data and AI. We are delighted to have received the "Glassdoor Best Places to work UK" accolade for 5 consecutive years. To see what it's like to work at Capgemini Invent, visit our Glassdoor page. NEED TO KNOW At Capgemini we don't just believe in inclusion, we actively go out to make it a working reality. Driven by our core values and Inclusive Futures for All campaign, we build environments where you can bring you whole self to work. We aim to build an environment where employees can enjoy a positive work life balance. We embed hybrid working in all that we do and make flexible working arrangements the day to day reality for our people. All UK employees are eligible to request flexible working arrangements. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained 'Mental Health Champions' across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy. Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government's Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who declare they have a disability and meet the minimum essential criteria for the role. Please opt in during the application process. CSR: We're also focused on using tech to have a positive social impact. So, we're working to reduce our own carbon footprint and improve everyone's access to a digital world. It's something we're really serious about. In fact, we were even named as one of the world's most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, you'll join a team that does the right thing. Whilst you will have London, Manchester or Glasgow as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice. We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance. ABOUT CAPGEMINI Capgemini is an AI powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end to end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5billion.
Job Title: Senior Laboratory Research Scientist - Tumour and Host Metabolism Laboratory Details of the role: Reporting to: Karen Vousden - Principal Group Leader Working pattern: This is a full-time, 2 year fixed term position on Crick terms and conditions of employment Salary: From £47,080 with benefits, subject to skills and experience Application closing date: 28th of August 2026 at 23.59pm About us The Francis Crick Institute is Europe's largest biomedical research institute under one roof. Our world-class scientists and staff collaborate on vital research to help prevent, diagnose and treat illnesses such as cancer, heart disease, infectious diseases and neurodegenerative conditions. The Crick is a place for collaboration, innovation and exploration across many disciplines. A space where the brightest minds can pursue big and bold ideas and discover answers to crucial scientific questions. We support them in a dynamic environment which fosters excellence with state-of-the-art infrastructure, cutting-edge facilities, and a creative and curious culture. We've removed traditional boundaries of departments, divisions and disciplines and instead have an open approach that supports every researcher. This gives us the freedom to take risks and carry out high-quality, pioneering research. Creating a space for discovery without boundaries helps us to turn our science into benefits for human health and the economy. The Research Lab We are looking for a Senior Laboratory Research Scientist position to join the Vousden Lab - Tumour and Host Metabolism Laboratory for two years. We focus on how changes in metabolism affect cancer development and progression. We also investigate how cancer affects the whole body, including the influence of primary tumours on distant organs and the interplay between cancers and systemic conditions such as obesity, cachexia and aging. Click here for more information on the Vousden lab About the role You will support several projects aimed at understanding the role of metabolism in controlling various aspects of cancer cell behaviour, such as the regulation of reactive oxygen species (ROS), epithelial to mesenchymal transition and cancer/host cell interactions. This post will be an exciting opportunity to be part of a research group that is focused on investigating how metabolism affects tumour development using various in vitro and in vivo techniques. Projects in the laboratory are highly interdisciplinary and the successful candidate will be exposed to a broad range of cutting-edge in vitro and in vivo approaches in cancer research, becoming an integral member of the team. What you will be doing Design and implementation of experiments to assess nutrient and metabolic requirements of cancer cells Maintain cancer cells in culture and assess growth rates and survival Perform western blot analysis of protein expression Reagent preparation, sample accession and preparation Collaboration and interaction with other group members, as required General contribution to the smooth running of the lab, including contribution to general lab tasks Presentation and discussion of results at lab meetings PhD (or equivalent experience) in the area of molecular biology, cancer models and metabolism Understanding of oxidative stress and ROS Technical metabolomic or proteomic analysis At least 3 years postdoctoral experience (or equivalent experience) Track record of writing papers as evidenced by publications or submitted manuscripts in refereed journals Evidence of data presentation at scientific meetings Experience of experimental design Ability to work independently and also capable of interacting within a group Metabolic pathway analysis (desirable) About Working at the Crick Our values Everyone who works at the Crick has a valuable role to play in advancing the Crick's mission and shaping our culture. We arebold. We make space for creative, dynamic and imaginative ideas and approaches. We're not afraid to do things differently. We areopen. We're highly collaborative and interactive, and make sure our activities are visible to the outside world. We arecollegial. We show respect for one another, work cooperatively and support the wider community. At the Francis Crick Institute, we believe that diversity and inclusion are essential to driving innovation and scientific discovery. We are committed to creating a workplace where everyone feels valued, respected, and empowered to succeed, regardless of their background, identity, or personal circumstances. We actively encourage applications from individuals of all genders, ethnicities, abilities, and experiences. Weare aDisability Confident: Committedemployer andwant to ensure that everyone can apply and be part of our recruitment processes and sowe'llmake reasonable adjustments if you need them - just let us know when you apply. If you needassistancewith applying (i.e., would like to apply by phone or post) please email: Work-Life Balance: 24/7 GP consultation services. Occupational health services and mental health support programs. Eye care vouchers and discounted healthcare plans. Childcare support allowance. Annual leave purchase options. Crick Networks offering diverse groups' support, community and inclusive social events. Discounted gym memberships, bike-to-work scheme, and shopping discounts. Subsidised on-site restaurant and social spaces for team interaction. Visas: Applicants for this role will be eligible for sponsorship to work in the UK Generous Leave: 28 days of annual leave, plus three additional days over Christmas and bank holidays. Pension Scheme: Defined contribution pension with employer contributions of up to 16%. Please note you must meet the essential criteria listed within the Role Profile, to have your application reviewed. We reserve the right to withdraw this advert at any given time due to the number of applications received.
Aug 25, 2026
Full time
Job Title: Senior Laboratory Research Scientist - Tumour and Host Metabolism Laboratory Details of the role: Reporting to: Karen Vousden - Principal Group Leader Working pattern: This is a full-time, 2 year fixed term position on Crick terms and conditions of employment Salary: From £47,080 with benefits, subject to skills and experience Application closing date: 28th of August 2026 at 23.59pm About us The Francis Crick Institute is Europe's largest biomedical research institute under one roof. Our world-class scientists and staff collaborate on vital research to help prevent, diagnose and treat illnesses such as cancer, heart disease, infectious diseases and neurodegenerative conditions. The Crick is a place for collaboration, innovation and exploration across many disciplines. A space where the brightest minds can pursue big and bold ideas and discover answers to crucial scientific questions. We support them in a dynamic environment which fosters excellence with state-of-the-art infrastructure, cutting-edge facilities, and a creative and curious culture. We've removed traditional boundaries of departments, divisions and disciplines and instead have an open approach that supports every researcher. This gives us the freedom to take risks and carry out high-quality, pioneering research. Creating a space for discovery without boundaries helps us to turn our science into benefits for human health and the economy. The Research Lab We are looking for a Senior Laboratory Research Scientist position to join the Vousden Lab - Tumour and Host Metabolism Laboratory for two years. We focus on how changes in metabolism affect cancer development and progression. We also investigate how cancer affects the whole body, including the influence of primary tumours on distant organs and the interplay between cancers and systemic conditions such as obesity, cachexia and aging. Click here for more information on the Vousden lab About the role You will support several projects aimed at understanding the role of metabolism in controlling various aspects of cancer cell behaviour, such as the regulation of reactive oxygen species (ROS), epithelial to mesenchymal transition and cancer/host cell interactions. This post will be an exciting opportunity to be part of a research group that is focused on investigating how metabolism affects tumour development using various in vitro and in vivo techniques. Projects in the laboratory are highly interdisciplinary and the successful candidate will be exposed to a broad range of cutting-edge in vitro and in vivo approaches in cancer research, becoming an integral member of the team. What you will be doing Design and implementation of experiments to assess nutrient and metabolic requirements of cancer cells Maintain cancer cells in culture and assess growth rates and survival Perform western blot analysis of protein expression Reagent preparation, sample accession and preparation Collaboration and interaction with other group members, as required General contribution to the smooth running of the lab, including contribution to general lab tasks Presentation and discussion of results at lab meetings PhD (or equivalent experience) in the area of molecular biology, cancer models and metabolism Understanding of oxidative stress and ROS Technical metabolomic or proteomic analysis At least 3 years postdoctoral experience (or equivalent experience) Track record of writing papers as evidenced by publications or submitted manuscripts in refereed journals Evidence of data presentation at scientific meetings Experience of experimental design Ability to work independently and also capable of interacting within a group Metabolic pathway analysis (desirable) About Working at the Crick Our values Everyone who works at the Crick has a valuable role to play in advancing the Crick's mission and shaping our culture. We arebold. We make space for creative, dynamic and imaginative ideas and approaches. We're not afraid to do things differently. We areopen. We're highly collaborative and interactive, and make sure our activities are visible to the outside world. We arecollegial. We show respect for one another, work cooperatively and support the wider community. At the Francis Crick Institute, we believe that diversity and inclusion are essential to driving innovation and scientific discovery. We are committed to creating a workplace where everyone feels valued, respected, and empowered to succeed, regardless of their background, identity, or personal circumstances. We actively encourage applications from individuals of all genders, ethnicities, abilities, and experiences. Weare aDisability Confident: Committedemployer andwant to ensure that everyone can apply and be part of our recruitment processes and sowe'llmake reasonable adjustments if you need them - just let us know when you apply. If you needassistancewith applying (i.e., would like to apply by phone or post) please email: Work-Life Balance: 24/7 GP consultation services. Occupational health services and mental health support programs. Eye care vouchers and discounted healthcare plans. Childcare support allowance. Annual leave purchase options. Crick Networks offering diverse groups' support, community and inclusive social events. Discounted gym memberships, bike-to-work scheme, and shopping discounts. Subsidised on-site restaurant and social spaces for team interaction. Visas: Applicants for this role will be eligible for sponsorship to work in the UK Generous Leave: 28 days of annual leave, plus three additional days over Christmas and bank holidays. Pension Scheme: Defined contribution pension with employer contributions of up to 16%. Please note you must meet the essential criteria listed within the Role Profile, to have your application reviewed. We reserve the right to withdraw this advert at any given time due to the number of applications received.
Meta is seeking a Production Engineering Manager in the United Kingdom to lead a team focused on reliability, scalability, and operational excellence of production infrastructure and services. You will drive strategies, own lifecycle improvements, and partner with software, data science, and product teams to ensure high availability at global scale. This role emphasizes AI-augmented workflows and strong leadership across multi-disciplinary teams.
Aug 25, 2026
Full time
Meta is seeking a Production Engineering Manager in the United Kingdom to lead a team focused on reliability, scalability, and operational excellence of production infrastructure and services. You will drive strategies, own lifecycle improvements, and partner with software, data science, and product teams to ensure high availability at global scale. This role emphasizes AI-augmented workflows and strong leadership across multi-disciplinary teams.
AI Engineer (.Net/AI) Location: Chester Hybrid Working Permanent - Full-time Salary: £50,000-£60,000 We're working with a leading UK organisation that is continuing to invest in its internal AI capability and is looking for an AI Software Engineer to join its dedicated AI squad. This role sits at the intersection of software engineering and applied AI. Rather than relying heavily on off-the-shelf products, the organisation is building its own enterprise-grade applications and AI solutions, designed around real business challenges and used across a large-scale operational environment. The Role As an AI Software Engineer, you'll use strong software engineering principles to design, build and deploy production-ready applications that incorporate AI, automation and machine learning capabilities. You'll be involved across the full software development lifecycle, from technical design and development through to testing, deployment and ongoing improvement. Responsibilities will include: Designing and developing scalable, maintainable software solutions using .NET/C# and Microsoft Azure. Building AI capabilities into enterprise applications and existing business processes. Developing solutions using Microsoft AI Foundry, Agent Framework and Azure AI services. Designing APIs, services and integrations to connect AI capabilities with wider enterprise systems. Building agentic AI applications, including multi-agent workflows and orchestration. Developing RAG solutions using vector search, enterprise data and retrieval techniques. Writing clean, maintainable and well-tested production code. Working with CI/CD pipelines, source control, automated testing and DevOps practices. Ensuring applications are secure, scalable, resilient and observable. Contributing to architecture, technical design and engineering standards. Working with stakeholders to understand business problems and translate them into effective software solutions. What We're Looking For Strong commercial software engineering experience, ideally within the Microsoft technology stack. Good development experience with C#/.NET and modern software engineering practices. Experience designing, building and deploying production applications within Microsoft Azure. Exposure to building AI-enabled applications using technologies such as Azure AI, Microsoft AI Foundry, Azure OpenAI, Semantic Kernel, Agent Framework or similar. Understanding of RAG, LLMs, vector search and agentic AI concepts. Experience integrating applications with APIs, cloud services and enterprise systems. Strong understanding of DevOps, CI/CD, source control and automated testing. Experience building secure, scalable and maintainable production software. An interest in emerging AI technologies and how they can be applied to solve real business problems. You don't need to come from a traditional Data Science background. We're particularly interested in Software Engineers who have started building with AI and want AI engineering to become a bigger part of their career. This is an opportunity to join an established software engineering function with a dedicated AI capability, combining strong engineering practices with some of the latest developments across Microsoft AI. If you are interested in this opportunity and would like to hear more, please apply for the opportunity with an updated CV and contact information.
Aug 24, 2026
Full time
AI Engineer (.Net/AI) Location: Chester Hybrid Working Permanent - Full-time Salary: £50,000-£60,000 We're working with a leading UK organisation that is continuing to invest in its internal AI capability and is looking for an AI Software Engineer to join its dedicated AI squad. This role sits at the intersection of software engineering and applied AI. Rather than relying heavily on off-the-shelf products, the organisation is building its own enterprise-grade applications and AI solutions, designed around real business challenges and used across a large-scale operational environment. The Role As an AI Software Engineer, you'll use strong software engineering principles to design, build and deploy production-ready applications that incorporate AI, automation and machine learning capabilities. You'll be involved across the full software development lifecycle, from technical design and development through to testing, deployment and ongoing improvement. Responsibilities will include: Designing and developing scalable, maintainable software solutions using .NET/C# and Microsoft Azure. Building AI capabilities into enterprise applications and existing business processes. Developing solutions using Microsoft AI Foundry, Agent Framework and Azure AI services. Designing APIs, services and integrations to connect AI capabilities with wider enterprise systems. Building agentic AI applications, including multi-agent workflows and orchestration. Developing RAG solutions using vector search, enterprise data and retrieval techniques. Writing clean, maintainable and well-tested production code. Working with CI/CD pipelines, source control, automated testing and DevOps practices. Ensuring applications are secure, scalable, resilient and observable. Contributing to architecture, technical design and engineering standards. Working with stakeholders to understand business problems and translate them into effective software solutions. What We're Looking For Strong commercial software engineering experience, ideally within the Microsoft technology stack. Good development experience with C#/.NET and modern software engineering practices. Experience designing, building and deploying production applications within Microsoft Azure. Exposure to building AI-enabled applications using technologies such as Azure AI, Microsoft AI Foundry, Azure OpenAI, Semantic Kernel, Agent Framework or similar. Understanding of RAG, LLMs, vector search and agentic AI concepts. Experience integrating applications with APIs, cloud services and enterprise systems. Strong understanding of DevOps, CI/CD, source control and automated testing. Experience building secure, scalable and maintainable production software. An interest in emerging AI technologies and how they can be applied to solve real business problems. You don't need to come from a traditional Data Science background. We're particularly interested in Software Engineers who have started building with AI and want AI engineering to become a bigger part of their career. This is an opportunity to join an established software engineering function with a dedicated AI capability, combining strong engineering practices with some of the latest developments across Microsoft AI. If you are interested in this opportunity and would like to hear more, please apply for the opportunity with an updated CV and contact information.
Research Infrastructure Engineer Location: Hampshire, South Coast Hybrid: x 1 per week onsite We're supporting a leading research-led organisation in the search for a Research Infrastructure Engineer to join a specialist team delivering advanced computing platforms that support research, data science and AI initiatives.This role offers the opportunity to work with high performance infrastructure, supporting researchers and technical teams to ensure critical services remain secure, reliable and scalable. The Role You'll be part of the team responsible for supporting and developing large-scale research computing environments, helping researchers make effective use of specialist technology and infrastructure.Key responsibilities include: Supporting and administering Linux-based research computing platforms Managing HPC, AI and data-intensive infrastructure Maintaining large-scale storage environments Troubleshooting complex infrastructure, networking and software issues Working closely with researchers to develop technical solutions Producing technical documentation and user guidance Supporting on delivering user training and workshops Contributing to platform improvements and automation initiatives About You We're keen to speak with technical professionals who enjoy solving complex infrastructure challenges and working closely with end users.You'll have experience in one or more of the following: Linux systems administration High Performance Computing (HPC) Enterprise storage platforms Network administration GPU-enabled environments Research or scientific computing Infrastructure automation and DevOps practices Please be aware this advert will remain open until the vacancy has been filled. Interviews will take place throughout this period, therefore we encourage you to apply early to avoid disappointment. Tate is acting as an Employment Business in relation to this vacancy. Tate is committed to promoting equal opportunities. To ensure that every candidate has the best experience with us, we encourage you to let us know if there are any adjustments we can make during the application or interview process. Your comfort and accessibility are our priority, and we are here to support you every step of the way. Additionally, we value and respect your individuality, and we invite you to share your preferred pronouns in your application.
Aug 24, 2026
Full time
Research Infrastructure Engineer Location: Hampshire, South Coast Hybrid: x 1 per week onsite We're supporting a leading research-led organisation in the search for a Research Infrastructure Engineer to join a specialist team delivering advanced computing platforms that support research, data science and AI initiatives.This role offers the opportunity to work with high performance infrastructure, supporting researchers and technical teams to ensure critical services remain secure, reliable and scalable. The Role You'll be part of the team responsible for supporting and developing large-scale research computing environments, helping researchers make effective use of specialist technology and infrastructure.Key responsibilities include: Supporting and administering Linux-based research computing platforms Managing HPC, AI and data-intensive infrastructure Maintaining large-scale storage environments Troubleshooting complex infrastructure, networking and software issues Working closely with researchers to develop technical solutions Producing technical documentation and user guidance Supporting on delivering user training and workshops Contributing to platform improvements and automation initiatives About You We're keen to speak with technical professionals who enjoy solving complex infrastructure challenges and working closely with end users.You'll have experience in one or more of the following: Linux systems administration High Performance Computing (HPC) Enterprise storage platforms Network administration GPU-enabled environments Research or scientific computing Infrastructure automation and DevOps practices Please be aware this advert will remain open until the vacancy has been filled. Interviews will take place throughout this period, therefore we encourage you to apply early to avoid disappointment. Tate is acting as an Employment Business in relation to this vacancy. Tate is committed to promoting equal opportunities. To ensure that every candidate has the best experience with us, we encourage you to let us know if there are any adjustments we can make during the application or interview process. Your comfort and accessibility are our priority, and we are here to support you every step of the way. Additionally, we value and respect your individuality, and we invite you to share your preferred pronouns in your application.
Data Scientist Consultant Fully Remote (Need right to work in UK) Inside IR35 £500 - £640 Per Day Start Immediately The Company They are a well-established organisation with a strong focus on data-driven innovation within financial services and credit analytics. Their teams develop sophisticated modelling solutions, risk products, and decisioning tools powered by extensive commercial data assets. With continued investment in cloud technologies and advanced analytics, they are building the next generation of AI and machine learning capabilities. You will join a collaborative environment that values technical excellence, innovation, and commercial impact. The Role and Deliverables Develop predictive models, credit risk scorecards, and advanced analytical solutions using large-scale financial and commercial datasets. Prepare, audit, cleanse, and analyse complex credit and business data to generate actionable insights. Design and optimise scalable data pipelines to support machine learning and analytics workflows. Partner with business stakeholders to translate commercial and risk challenges into data-driven solutions. Communicate analytical findings through clear visualisations and business-focused recommendations. Support the adoption of modern cloud technologies, machine learning techniques, and analytics best practice. Your Skills & Experience Recent experience within financial services, credit risk, lending, credit bureaux, or commercial credit analytics is essential. Strong experience building predictive models, risk scorecards, or decisioning solutions within a regulated financial environment. Proven experience working with credit, lending, bureau, or commercial financial datasets. Strong Python and SQL skills for data science, analytics, and data engineering activities. Experience applying statistical and machine learning techniques to solve complex commercial or risk-related problems. Hands-on experience working within Google Cloud Platform environments. Understanding of model development lifecycles, model governance, validation, and version control best practices. Strong stakeholder management skills with the ability to communicate technical findings to non-technical audiences. How to Apply If you have recent experience in credit risk, lending, or financial services data science and are looking to deliver high-impact modelling projects in a modern cloud environment, apply today to learn more.
Aug 24, 2026
Full time
Data Scientist Consultant Fully Remote (Need right to work in UK) Inside IR35 £500 - £640 Per Day Start Immediately The Company They are a well-established organisation with a strong focus on data-driven innovation within financial services and credit analytics. Their teams develop sophisticated modelling solutions, risk products, and decisioning tools powered by extensive commercial data assets. With continued investment in cloud technologies and advanced analytics, they are building the next generation of AI and machine learning capabilities. You will join a collaborative environment that values technical excellence, innovation, and commercial impact. The Role and Deliverables Develop predictive models, credit risk scorecards, and advanced analytical solutions using large-scale financial and commercial datasets. Prepare, audit, cleanse, and analyse complex credit and business data to generate actionable insights. Design and optimise scalable data pipelines to support machine learning and analytics workflows. Partner with business stakeholders to translate commercial and risk challenges into data-driven solutions. Communicate analytical findings through clear visualisations and business-focused recommendations. Support the adoption of modern cloud technologies, machine learning techniques, and analytics best practice. Your Skills & Experience Recent experience within financial services, credit risk, lending, credit bureaux, or commercial credit analytics is essential. Strong experience building predictive models, risk scorecards, or decisioning solutions within a regulated financial environment. Proven experience working with credit, lending, bureau, or commercial financial datasets. Strong Python and SQL skills for data science, analytics, and data engineering activities. Experience applying statistical and machine learning techniques to solve complex commercial or risk-related problems. Hands-on experience working within Google Cloud Platform environments. Understanding of model development lifecycles, model governance, validation, and version control best practices. Strong stakeholder management skills with the ability to communicate technical findings to non-technical audiences. How to Apply If you have recent experience in credit risk, lending, or financial services data science and are looking to deliver high-impact modelling projects in a modern cloud environment, apply today to learn more.
A career without limits As the nation's flag carrier, we take great pride in connecting Britain with the world and the world with Britain. It's something we've been doing for over 100 years, ever since we launched the world's first international scheduled air service between London and Paris. This originality has been in our blood since day one. It's the spirit we share with the people that fly with us, our partners, and our colleagues. So, whether you are a reassuring voice on the end of a phone, a smile at the door, under a wing keeping the turbines spinning or landing us gently in far-flung places, a job at British Airways is yours to make. We know great things can happen when you're inspired to think big and bring your ambition to work every day, which is why, at British Airways the sky is never the limit. The role: Principal Product Data Scientist You'll be part of the Operations Delivery Intelligence (ODI) directorate, working within integrated operations product squads to build and embed industrialised decision-support software products. This area plays a critical role in improving operational outcomes by applying advanced machine learning and optimisation techniques to real-world decision-making challenges across the airline. What you'll do: Act as the technical owner of one or more production-grade data science product codebases Lead the end-to-end delivery of decision-support software across the full product lifecycle Understand complex operational business problems end to end and identify opportunities for data-driven optimisation Drive modelling and system design decisions, balancing implementation time, system behaviour, technical debt and business value Prototype, build and deliver industrialised machine learning and optimisation models in Python Design and build robust data ingestion, cleaning and processing pipelines Implement orchestration pipelines and CI/CD deployment processes Ensure software quality through logging, error handling and automated testing Harden algorithms against operational and data edge cases Quantify product adoption and value capture Engage with business stakeholders to gather requirements and feedback Contribute to feature prioritisation and roadmap discussions Support integration of decision-support products into operational business processes Communicate modelling approaches, trade-offs and results clearly to technical and business audiences Mentor and support junior team members Contribute to agile ways of working, including Git versioning, code reviews and delivery predictability What you'll bring to British Airways: Expert capability in applied machine learning, optimisation and operational research techniques Strong Python expertise with experience delivering production-quality data science software Experience working with cloud platforms and modern ML tooling Strong software engineering discipline including testing, CI/CD and version control Ability to structure complex business and technical problems and propose pragmatic solutions Clear communication skills across technical and non-technical audiences Collaborative working style with a focus on continuous improvement Systems-thinking mindset with attention to detail Curiosity, resilience and adaptability in fast-moving environments Strong commitment to delivering measurable business value Your experience: Master's degree or greater in data science, ML, or operational research, or 6+ years of highly relevant industry experience (required) 4-6 years working on production ML or optimization software products at scale (required) Experience in developing industrialized software, especially data science or machine learning software products (required) Experience in relevant business domains (transportation, airlines, operations, network problems) (preferred) What we offer: We believe that all the people who work with us should feel valued for the part they play. It's one of the reasons our rewards go far beyond a competitive salary. From the day you join us, you'll get access to brilliant staff travel benefits including unlimited basic and premium standby tickets on British Airways flights. You'll also receive up to 30 discounted 'Hotline' airfares per year for yourself, friends, and family. At British Airways you'll have the chance to take on new challenges and move forward in a way that feels right for you. We encourage all those who work for us to consider opportunities right across our business to help you develop and progress. We never stand still, and we don't expect our people to either. Inclusion & Diversity At British Airways we all have a part to play in creating an inclusive place to work. Diverse representation among our people is really important to us and we recognise that all our colleagues are uniquely different and bring their own originality, creativity and identity to work. Inclusion and diversity is a key driver of innovation and we're committed to creating a culture where everyone feels that they can be themselves. We're looking for people from all backgrounds and cultures to join us and be a part of our journey to become a Better BA as we continue to connect Britain with the world and the world with Britain.
Aug 24, 2026
Full time
A career without limits As the nation's flag carrier, we take great pride in connecting Britain with the world and the world with Britain. It's something we've been doing for over 100 years, ever since we launched the world's first international scheduled air service between London and Paris. This originality has been in our blood since day one. It's the spirit we share with the people that fly with us, our partners, and our colleagues. So, whether you are a reassuring voice on the end of a phone, a smile at the door, under a wing keeping the turbines spinning or landing us gently in far-flung places, a job at British Airways is yours to make. We know great things can happen when you're inspired to think big and bring your ambition to work every day, which is why, at British Airways the sky is never the limit. The role: Principal Product Data Scientist You'll be part of the Operations Delivery Intelligence (ODI) directorate, working within integrated operations product squads to build and embed industrialised decision-support software products. This area plays a critical role in improving operational outcomes by applying advanced machine learning and optimisation techniques to real-world decision-making challenges across the airline. What you'll do: Act as the technical owner of one or more production-grade data science product codebases Lead the end-to-end delivery of decision-support software across the full product lifecycle Understand complex operational business problems end to end and identify opportunities for data-driven optimisation Drive modelling and system design decisions, balancing implementation time, system behaviour, technical debt and business value Prototype, build and deliver industrialised machine learning and optimisation models in Python Design and build robust data ingestion, cleaning and processing pipelines Implement orchestration pipelines and CI/CD deployment processes Ensure software quality through logging, error handling and automated testing Harden algorithms against operational and data edge cases Quantify product adoption and value capture Engage with business stakeholders to gather requirements and feedback Contribute to feature prioritisation and roadmap discussions Support integration of decision-support products into operational business processes Communicate modelling approaches, trade-offs and results clearly to technical and business audiences Mentor and support junior team members Contribute to agile ways of working, including Git versioning, code reviews and delivery predictability What you'll bring to British Airways: Expert capability in applied machine learning, optimisation and operational research techniques Strong Python expertise with experience delivering production-quality data science software Experience working with cloud platforms and modern ML tooling Strong software engineering discipline including testing, CI/CD and version control Ability to structure complex business and technical problems and propose pragmatic solutions Clear communication skills across technical and non-technical audiences Collaborative working style with a focus on continuous improvement Systems-thinking mindset with attention to detail Curiosity, resilience and adaptability in fast-moving environments Strong commitment to delivering measurable business value Your experience: Master's degree or greater in data science, ML, or operational research, or 6+ years of highly relevant industry experience (required) 4-6 years working on production ML or optimization software products at scale (required) Experience in developing industrialized software, especially data science or machine learning software products (required) Experience in relevant business domains (transportation, airlines, operations, network problems) (preferred) What we offer: We believe that all the people who work with us should feel valued for the part they play. It's one of the reasons our rewards go far beyond a competitive salary. From the day you join us, you'll get access to brilliant staff travel benefits including unlimited basic and premium standby tickets on British Airways flights. You'll also receive up to 30 discounted 'Hotline' airfares per year for yourself, friends, and family. At British Airways you'll have the chance to take on new challenges and move forward in a way that feels right for you. We encourage all those who work for us to consider opportunities right across our business to help you develop and progress. We never stand still, and we don't expect our people to either. Inclusion & Diversity At British Airways we all have a part to play in creating an inclusive place to work. Diverse representation among our people is really important to us and we recognise that all our colleagues are uniquely different and bring their own originality, creativity and identity to work. Inclusion and diversity is a key driver of innovation and we're committed to creating a culture where everyone feels that they can be themselves. We're looking for people from all backgrounds and cultures to join us and be a part of our journey to become a Better BA as we continue to connect Britain with the world and the world with Britain.
Fully remote UK £450 per day Inside IR35 (via umbrella) 6-month contract with view to extend Experienced Project Manager required to lead strategic Data and AI programmes that transform how data is acquired, governed, managed, and leveraged across the organisation. You will partner with business, product, engineering, data science, and architecture teams to deliver scalable data platforms, AI-enabled capabilities, and enterprise-wide data initiatives Key responsibilities: Lead end-to-end delivery of complex Data and AI programmes across multiple teams and business functions Translate business objectives into executable roadmaps, technical requirements, and delivery plans for data, analytics, machine learning, and AI solutions Drive alignment across Product, Engineering, Data Science, Data Management, Architecture, Governance, and Operations teams Establish programme governance, reporting, metrics, and delivery mechanisms to provide transparency and drive accountability Coordinate the development and deployment of data platforms, AI/ML capabilities, data quality solutions, and operational workflows Ensure adherence to data governance, security, privacy, regulatory, and AI risk management requirements Skills & Experience: Strong experience leading large-scale technology, data, or AI programmes Proven experience delivering enterprise data platforms, analytics, AI/ML, or digital transformation initiatives Strong understanding of data management, data governance, cloud platforms, analytics, and AI/ML lifecycles Strong experience with data quality, metadata management, master data management, knowledge graphs, or data products Familiarity with Generative AI, MLOps, AI governance, model risk management, and responsible AI frameworks Bonus: Background in financial services, risk, ratings, or regulated data environments Immediate start date. If interested, please apply or reach out to Craig for more information. Cathcart Technology is acting as an Employment Business in relation to this vacancy.
Aug 24, 2026
Full time
Fully remote UK £450 per day Inside IR35 (via umbrella) 6-month contract with view to extend Experienced Project Manager required to lead strategic Data and AI programmes that transform how data is acquired, governed, managed, and leveraged across the organisation. You will partner with business, product, engineering, data science, and architecture teams to deliver scalable data platforms, AI-enabled capabilities, and enterprise-wide data initiatives Key responsibilities: Lead end-to-end delivery of complex Data and AI programmes across multiple teams and business functions Translate business objectives into executable roadmaps, technical requirements, and delivery plans for data, analytics, machine learning, and AI solutions Drive alignment across Product, Engineering, Data Science, Data Management, Architecture, Governance, and Operations teams Establish programme governance, reporting, metrics, and delivery mechanisms to provide transparency and drive accountability Coordinate the development and deployment of data platforms, AI/ML capabilities, data quality solutions, and operational workflows Ensure adherence to data governance, security, privacy, regulatory, and AI risk management requirements Skills & Experience: Strong experience leading large-scale technology, data, or AI programmes Proven experience delivering enterprise data platforms, analytics, AI/ML, or digital transformation initiatives Strong understanding of data management, data governance, cloud platforms, analytics, and AI/ML lifecycles Strong experience with data quality, metadata management, master data management, knowledge graphs, or data products Familiarity with Generative AI, MLOps, AI governance, model risk management, and responsible AI frameworks Bonus: Background in financial services, risk, ratings, or regulated data environments Immediate start date. If interested, please apply or reach out to Craig for more information. Cathcart Technology is acting as an Employment Business in relation to this vacancy.
Cherry Professional - Relationship Led Recruitment
Wigston, Leicestershire
Validation Technician (Graduate or Technical Entry Level) Permanent Full-Time 37 Hours Per Week Site-Based, Leicestershire About the Opportunity An exciting opportunity has arisen for a Validation Technician to join a highly regulated manufacturing environment supporting the qualification, validation, and ongoing compliance of critical equipment, facilities, and systems. This role would be particularly well suited to a recent Science or Engineering graduate looking to build a career within Quality, Validation, Pharmaceutical Manufacturing, Life Sciences, or Engineering. Equally, candidates with relevant industry experience are encouraged to apply. Working within a collaborative team, you will play a key role in ensuring that equipment, facilities, and processes operate consistently and meet regulatory and quality requirements. Full training will be provided, making this an excellent opportunity for someone with a strong technical aptitude, attention to detail, and a desire to develop specialist validation expertise. Key Responsibilities As a Validation Technician, your responsibilities will include: Preparing, executing, and reporting validation and qualification protocols Supporting routine revalidation and requalification activities across manufacturing and laboratory environments Conducting temperature mapping studies on equipment such as Freezers, refrigerators, cold rooms Performing air particle counting within controlled cleanroom environments Carrying out airflow measurement and airflow visualisation studies Supporting validation of isolator decontamination cycles using biological indicators Assisting with revalidation of sterilisation processes, including: Hot air sterilising ovens Sterilise-in-place systems Producing accurate technical documentation and validation reports Reviewing data and documentation to ensure compliance with quality standards Working with a variety of critical equipment and systems, including: Temperature-controlled equipment Laboratory balances Vial filling and sealing systems Positive pressure glove isolators HVAC and facility systems Computerised systems About You We're looking for a practical, hands-on individual with excellent organisational skills and a methodical approach to problem-solving. Essential Requirements Degree in a scientific or engineering discipline (Life Sciences, Biomedical Science, Chemistry, Biology, Mechanical Engineering, Chemical Engineering, or similar) Strong attention to detail and commitment to accuracy Excellent written communication skills Good working knowledge of Microsoft Word and MS Excel Strong planning, organisation, and multitasking skills Proactive approach with the ability to work independently and as part of a team Willingness to learn and develop within a regulated environment What's on Offer? Permanent position with long-term career development opportunities Full training and support provided Exposure to a broad range of specialist validation activities Opportunity to develop expertise in a highly regulated technical environment Collaborative and supportive team culture Cherry Professional are recruiting for this opportunity on behalf of our client. Please view our Privacy Policy on our website to understand how your data will be used if you apply for this role.
Aug 24, 2026
Full time
Validation Technician (Graduate or Technical Entry Level) Permanent Full-Time 37 Hours Per Week Site-Based, Leicestershire About the Opportunity An exciting opportunity has arisen for a Validation Technician to join a highly regulated manufacturing environment supporting the qualification, validation, and ongoing compliance of critical equipment, facilities, and systems. This role would be particularly well suited to a recent Science or Engineering graduate looking to build a career within Quality, Validation, Pharmaceutical Manufacturing, Life Sciences, or Engineering. Equally, candidates with relevant industry experience are encouraged to apply. Working within a collaborative team, you will play a key role in ensuring that equipment, facilities, and processes operate consistently and meet regulatory and quality requirements. Full training will be provided, making this an excellent opportunity for someone with a strong technical aptitude, attention to detail, and a desire to develop specialist validation expertise. Key Responsibilities As a Validation Technician, your responsibilities will include: Preparing, executing, and reporting validation and qualification protocols Supporting routine revalidation and requalification activities across manufacturing and laboratory environments Conducting temperature mapping studies on equipment such as Freezers, refrigerators, cold rooms Performing air particle counting within controlled cleanroom environments Carrying out airflow measurement and airflow visualisation studies Supporting validation of isolator decontamination cycles using biological indicators Assisting with revalidation of sterilisation processes, including: Hot air sterilising ovens Sterilise-in-place systems Producing accurate technical documentation and validation reports Reviewing data and documentation to ensure compliance with quality standards Working with a variety of critical equipment and systems, including: Temperature-controlled equipment Laboratory balances Vial filling and sealing systems Positive pressure glove isolators HVAC and facility systems Computerised systems About You We're looking for a practical, hands-on individual with excellent organisational skills and a methodical approach to problem-solving. Essential Requirements Degree in a scientific or engineering discipline (Life Sciences, Biomedical Science, Chemistry, Biology, Mechanical Engineering, Chemical Engineering, or similar) Strong attention to detail and commitment to accuracy Excellent written communication skills Good working knowledge of Microsoft Word and MS Excel Strong planning, organisation, and multitasking skills Proactive approach with the ability to work independently and as part of a team Willingness to learn and develop within a regulated environment What's on Offer? Permanent position with long-term career development opportunities Full training and support provided Exposure to a broad range of specialist validation activities Opportunity to develop expertise in a highly regulated technical environment Collaborative and supportive team culture Cherry Professional are recruiting for this opportunity on behalf of our client. Please view our Privacy Policy on our website to understand how your data will be used if you apply for this role.
Job Title: Anaerobic Digestion (AD) Plant Manager Location: West Malling, Kent Salary: Competitive Job Type: Permanent, Full time Hours: Monday to Friday / Out of hours required when necessary About Us: Envar is a producer and supplier of high quality soil improver, woodland garden mulch, wood chip and biomass. We operate green waste composting sites across England with sites in Surrey, Northamptonshire, West London, Essex, Kent and Suffolk as well as our flagship site in Cambridgeshire where we also process food waste. In addition to composting Envar also recycle coffee grounds. About the role: The AD Plant Manager is responsible for the safe, compliant and efficient operation of the anaerobic digestion facility. The role ensures maximum plant availability, biogas production, feedstock throughput and digestate quality whilst maintaining full compliance with environmental permits, health and safety legislation and company policies. The Plant Manager will lead operational teams, manage budgets, drive continuous improvement initiatives and ensure delivery of site performance targets. Responsibilities: Manage the day-to-day operation of the AD facility. Ensure feedstock reception, processing, digestion and digestate production operate efficiently. Maximise plant uptime and throughput. Monitor and improve biogas and biomethane production performance. Ensure all process and operational KPIs are achieved. Develop and implement operational procedures and best practices. Champion a positive health and safety culture. Ensure compliance with all company safety procedures. Manage risk assessments, safe systems of work and permit-to-work procedures. Ensure compliance with Environmental Permits, ABPR requirements and EA regulations. Lead site audits and inspections. Investigate incidents and implement corrective actions. Ensure compliance with all environmental conditions and regulatory requirements. Manage odour, noise, emissions and environmental monitoring programmes. Support permit variations and regulatory reporting requirements. Maintain excellent relationships with regulators and stakeholders. Monitor process biology and optimize digester performance. Review daily plant data and identify performance improvement opportunities. Manage feedstock mix to maximize gas yields and process stability. Oversee digestate quality and compliance requirements. Work closely with laboratory and technical teams. Work alongside the Operational Team to maintain asset reliability. Ensure preventative maintenance programmes through the CMMS system are followed. Minimize unplanned downtime. Manage contractor performance and engineering service providers. Manage site operational budgets. Control labor, maintenance, utility and consumable costs. Identify efficiency improvements to reduce operating costs. Support preparation of business cases and capital expenditure proposals. Lead, coach and develop site teams. Conduct performance reviews and training assessments. Ensure appropriate staffing levels and succession planning. Promote employee engagement and accountability. Build a culture of operational excellence. Drive Lean and continuous improvement initiatives. Develop operational KPIs and reporting systems. Analyze trends and implement corrective actions. Identify opportunities to increase throughput, gas production and profitability. About you: Skills and Experience: Essential: Excellent leadership and communication skills. Commercially aware. Practical problem solver. Significant operational management experience within AD, waste management, recycling, utilities, process manufacturing or energy generation. Strong understanding of biological treatment and anaerobic digestion processes. Knowledge of Environmental Permits and regulatory compliance. Experience managing operational teams and contractors. Budget management experience. Full UK Driving License. Desirable: Organized and resilient under pressure. Committed to safety and operational excellence. Continuous improvement mindset. Degree or HNC/HND in Engineering, Environmental Science, Process Engineering or similar. IOSH Managing Safely or NEBOSH qualification. WAMITAB qualification. Knowledge of CHP engines, gas upgrading and renewable energy systems. Experience of PAS110 and digestate compliance requirements. CMMS experience. Benefits: Life Insurance with access to GP24 Commitment to wellbeing through Employee Assistance Programme Electric Car salary sacrifice scheme for eligible employees Cycle to work scheme Company Events GymFlex salary sacrifice Please click on the APPLY button to send your CV for this role. Overseas candidates will NOT be considered for this role. We are not sponsoring Visa's at this time, so please refrain from applying unless eligible to work in the UK. Candidates with experience or relevant job titles of; Plant Operations Manager, Engineering Operations Manager, Anaerobic Digestion Manager , Anaerobic Digestion Operative may also be considered for this role.
Aug 24, 2026
Full time
Job Title: Anaerobic Digestion (AD) Plant Manager Location: West Malling, Kent Salary: Competitive Job Type: Permanent, Full time Hours: Monday to Friday / Out of hours required when necessary About Us: Envar is a producer and supplier of high quality soil improver, woodland garden mulch, wood chip and biomass. We operate green waste composting sites across England with sites in Surrey, Northamptonshire, West London, Essex, Kent and Suffolk as well as our flagship site in Cambridgeshire where we also process food waste. In addition to composting Envar also recycle coffee grounds. About the role: The AD Plant Manager is responsible for the safe, compliant and efficient operation of the anaerobic digestion facility. The role ensures maximum plant availability, biogas production, feedstock throughput and digestate quality whilst maintaining full compliance with environmental permits, health and safety legislation and company policies. The Plant Manager will lead operational teams, manage budgets, drive continuous improvement initiatives and ensure delivery of site performance targets. Responsibilities: Manage the day-to-day operation of the AD facility. Ensure feedstock reception, processing, digestion and digestate production operate efficiently. Maximise plant uptime and throughput. Monitor and improve biogas and biomethane production performance. Ensure all process and operational KPIs are achieved. Develop and implement operational procedures and best practices. Champion a positive health and safety culture. Ensure compliance with all company safety procedures. Manage risk assessments, safe systems of work and permit-to-work procedures. Ensure compliance with Environmental Permits, ABPR requirements and EA regulations. Lead site audits and inspections. Investigate incidents and implement corrective actions. Ensure compliance with all environmental conditions and regulatory requirements. Manage odour, noise, emissions and environmental monitoring programmes. Support permit variations and regulatory reporting requirements. Maintain excellent relationships with regulators and stakeholders. Monitor process biology and optimize digester performance. Review daily plant data and identify performance improvement opportunities. Manage feedstock mix to maximize gas yields and process stability. Oversee digestate quality and compliance requirements. Work closely with laboratory and technical teams. Work alongside the Operational Team to maintain asset reliability. Ensure preventative maintenance programmes through the CMMS system are followed. Minimize unplanned downtime. Manage contractor performance and engineering service providers. Manage site operational budgets. Control labor, maintenance, utility and consumable costs. Identify efficiency improvements to reduce operating costs. Support preparation of business cases and capital expenditure proposals. Lead, coach and develop site teams. Conduct performance reviews and training assessments. Ensure appropriate staffing levels and succession planning. Promote employee engagement and accountability. Build a culture of operational excellence. Drive Lean and continuous improvement initiatives. Develop operational KPIs and reporting systems. Analyze trends and implement corrective actions. Identify opportunities to increase throughput, gas production and profitability. About you: Skills and Experience: Essential: Excellent leadership and communication skills. Commercially aware. Practical problem solver. Significant operational management experience within AD, waste management, recycling, utilities, process manufacturing or energy generation. Strong understanding of biological treatment and anaerobic digestion processes. Knowledge of Environmental Permits and regulatory compliance. Experience managing operational teams and contractors. Budget management experience. Full UK Driving License. Desirable: Organized and resilient under pressure. Committed to safety and operational excellence. Continuous improvement mindset. Degree or HNC/HND in Engineering, Environmental Science, Process Engineering or similar. IOSH Managing Safely or NEBOSH qualification. WAMITAB qualification. Knowledge of CHP engines, gas upgrading and renewable energy systems. Experience of PAS110 and digestate compliance requirements. CMMS experience. Benefits: Life Insurance with access to GP24 Commitment to wellbeing through Employee Assistance Programme Electric Car salary sacrifice scheme for eligible employees Cycle to work scheme Company Events GymFlex salary sacrifice Please click on the APPLY button to send your CV for this role. Overseas candidates will NOT be considered for this role. We are not sponsoring Visa's at this time, so please refrain from applying unless eligible to work in the UK. Candidates with experience or relevant job titles of; Plant Operations Manager, Engineering Operations Manager, Anaerobic Digestion Manager , Anaerobic Digestion Operative may also be considered for this role.
Role Overview: Role: Technical Product Owner Salary: £70,000-£90,000 p/a (+ discretionary 7.5% annual bonus) Location: Hybrid - London 2 days per week The Opportunity: Our client, an innovative medical technology business operating within the global life sciences sector, is looking for an experienced Technical Product Owner to join its growing technology team. The successful candidate will sit at the intersection of Product, Business and Engineering, taking ownership of prioritisation while working closely with Developers, Testers and senior stakeholders to turn complex business requirements into clear, deliverable solutions. This isn't a traditional Product Owner role focused purely on backlog management. You'll need to be technically fluent, comfortable discussing APIs, data models and system behavior with Developers, and confident making value-based decisions around features, technical improvements and defects. You'll also have the opportunity to shape how the Product function develops as the team grows, with an expectation to eventually take responsibility for mentoring and line managing a Business Analyst. Key Responsibilities: Product Ownership & Prioritisation Own and manage the product backlog, ensuring it remains well-groomed, estimated and ready for sprint planning Prioritise features, technical improvements and defects based on business value Work closely with senior stakeholders to understand priorities and make clear value-based trade-off decisions Review and accept completed work against agreed acceptance criteria and the Definition of Done Requirements & Technical Analysis Elicit, analyse and challenge business requirements, translating them into clear user stories and acceptance criteria Work closely with Developers and Testers throughout delivery Contribute to technical discussions around APIs, data models, integrations and system behaviour Use SQL to interrogate data, validate assumptions and support impact analysis Produce UML diagrams, process flows and data mapping artefacts to communicate solution design Agile Delivery Facilitate backlog refinement, sprint planning, reviews and retrospectives Support effective collaboration between Product, Engineering and wider business stakeholders Advocate for transparency, continuous improvement and knowledge sharing Ensure requirements are clear and actionable throughout the delivery lifecycle Team Development Mentor and support Business Analysts as the team grows Provide regular coaching and quality oversight of analysis outputs Take on line management responsibilities as the function develops What We're Looking For: Essential Experience Proven experience as a Product Owner or Senior/Technical Business Analyst with ownership of a product backlog Strong experience prioritising work and making value-based trade-off decisions Excellent understanding of Agile methodologies, including Scrum and/or Kanban Strong experience writing user stories and acceptance criteria Technically fluent, with the confidence to engage Developers in technical design and trade-off discussions Hands-on SQL experience and a strong understanding of relational data models Good knowledge of REST APIs, system integrations and client-facing web applications Experience creating UML diagrams, process flows and data mapping Experience using backlog management tools such as Azure DevOps, Jira and/or Confluence Strong stakeholder management and communication skills Experience mentoring or developing Business Analysts or other team members Desirable Experience writing Gherkin-style acceptance criteria and working with BDD Experience creating BPMN process diagrams Experience within medical, biotechnology, pharmaceutical or another regulated environment Product Owner certification such as CSPO or PSPO Experience using AI-assisted tools such as Claude Code to support analysis and delivery If you're a technically minded Product Owner who enjoys working closely with Engineering, making meaningful prioritisation decisions and taking ownership of products that have a genuine impact, we'd love to hear from you. Important Notice: We are expecting a high volume of applications for this role and while we do our best to respond to as many applicants as we can, it isn't always possible to get back to everyone. With this in mind, if you've not heard from a member of our team within 2 weeks of submitting your CV, please assume that your application has not been successful on this occasion. Both Leo Technology and the companies we partner with are incredibly passionate about building environments where people from all backgrounds and walks of life are embraced. Our mission is to welcome everyone and create inclusive teams. We celebrate difference and encourage people from all backgrounds to apply. Leo Technology Limited is acting as an Employment Agency in relation to this vacancy. To understand more about what we do with your data please review our privacy policy in the privacy section of the Leo Technology website.
Aug 24, 2026
Full time
Role Overview: Role: Technical Product Owner Salary: £70,000-£90,000 p/a (+ discretionary 7.5% annual bonus) Location: Hybrid - London 2 days per week The Opportunity: Our client, an innovative medical technology business operating within the global life sciences sector, is looking for an experienced Technical Product Owner to join its growing technology team. The successful candidate will sit at the intersection of Product, Business and Engineering, taking ownership of prioritisation while working closely with Developers, Testers and senior stakeholders to turn complex business requirements into clear, deliverable solutions. This isn't a traditional Product Owner role focused purely on backlog management. You'll need to be technically fluent, comfortable discussing APIs, data models and system behavior with Developers, and confident making value-based decisions around features, technical improvements and defects. You'll also have the opportunity to shape how the Product function develops as the team grows, with an expectation to eventually take responsibility for mentoring and line managing a Business Analyst. Key Responsibilities: Product Ownership & Prioritisation Own and manage the product backlog, ensuring it remains well-groomed, estimated and ready for sprint planning Prioritise features, technical improvements and defects based on business value Work closely with senior stakeholders to understand priorities and make clear value-based trade-off decisions Review and accept completed work against agreed acceptance criteria and the Definition of Done Requirements & Technical Analysis Elicit, analyse and challenge business requirements, translating them into clear user stories and acceptance criteria Work closely with Developers and Testers throughout delivery Contribute to technical discussions around APIs, data models, integrations and system behaviour Use SQL to interrogate data, validate assumptions and support impact analysis Produce UML diagrams, process flows and data mapping artefacts to communicate solution design Agile Delivery Facilitate backlog refinement, sprint planning, reviews and retrospectives Support effective collaboration between Product, Engineering and wider business stakeholders Advocate for transparency, continuous improvement and knowledge sharing Ensure requirements are clear and actionable throughout the delivery lifecycle Team Development Mentor and support Business Analysts as the team grows Provide regular coaching and quality oversight of analysis outputs Take on line management responsibilities as the function develops What We're Looking For: Essential Experience Proven experience as a Product Owner or Senior/Technical Business Analyst with ownership of a product backlog Strong experience prioritising work and making value-based trade-off decisions Excellent understanding of Agile methodologies, including Scrum and/or Kanban Strong experience writing user stories and acceptance criteria Technically fluent, with the confidence to engage Developers in technical design and trade-off discussions Hands-on SQL experience and a strong understanding of relational data models Good knowledge of REST APIs, system integrations and client-facing web applications Experience creating UML diagrams, process flows and data mapping Experience using backlog management tools such as Azure DevOps, Jira and/or Confluence Strong stakeholder management and communication skills Experience mentoring or developing Business Analysts or other team members Desirable Experience writing Gherkin-style acceptance criteria and working with BDD Experience creating BPMN process diagrams Experience within medical, biotechnology, pharmaceutical or another regulated environment Product Owner certification such as CSPO or PSPO Experience using AI-assisted tools such as Claude Code to support analysis and delivery If you're a technically minded Product Owner who enjoys working closely with Engineering, making meaningful prioritisation decisions and taking ownership of products that have a genuine impact, we'd love to hear from you. Important Notice: We are expecting a high volume of applications for this role and while we do our best to respond to as many applicants as we can, it isn't always possible to get back to everyone. With this in mind, if you've not heard from a member of our team within 2 weeks of submitting your CV, please assume that your application has not been successful on this occasion. Both Leo Technology and the companies we partner with are incredibly passionate about building environments where people from all backgrounds and walks of life are embraced. Our mission is to welcome everyone and create inclusive teams. We celebrate difference and encourage people from all backgrounds to apply. Leo Technology Limited is acting as an Employment Agency in relation to this vacancy. To understand more about what we do with your data please review our privacy policy in the privacy section of the Leo Technology website.
Job ID: Amazon Development Centre (Scotland) Limited Do you want to make a real difference to real people's lives? Want to design and build fair and explainable systems which automate recruitment processes across Amazon? Come and be part of a team that develops new machine learning (ML) technologies, which help Amazon scale for its customers by recruiting diverse teams. Join our Recommendations team within Intelligent Talent Acquisition (ITA) where you'll build machine learning products that transform how job seekers find opportunities and recruiters discover talent. You'll develop sophisticated recommendation systems powering both Amazon Jobs and internal hiring platforms, operating at global scale to match the right people with the right positions. Using techniques including representation learning, reinforcement learning, and probabilistic modeling, your work will directly improve efficiency for recruiters and help candidates find their ideal roles. This position offers the chance to solve complex problems with significant impact by creating systems that make Amazon's entire hiring ecosystem more effective while collaborating with scientists across the organization. Key job responsibilities Design and implement machine learning models that power recommendation systems for job seekers and recruiters, ensuring high performance, scalability, and reliability at global scale. Our ideal candidate has a strong scientific foundation and experience of statistical analysis and model building and has a passion for fairness and explainability in ML systems. Collaborate with engineers, scientists, and product managers to define requirements, create solutions, and deliver products that improve the hiring experience. Participate in the full software development lifecycle including scoping, design, coding, testing, documentation, deployment, and maintenance of recommendation systems and ML models. Solve complex ML problems using optimal data structures and algorithms, making thoughtful trade-offs between efficiency and maintainability. Stay current with scientific literature and develop novel approaches that address business challenges in talent acquisition. You will have the opportunity to provide feedback on scientific work across the organization helping the entire Intelligent Talent Acquisition organization improve. A day in the life You might spend the morning reviewing a colleague's code for a new recommendation algorithm feature, then collaborate with product managers to refine requirements for an upcoming enhancement. After lunch, you'll dive into model development, analyzing performance metrics from recent A/B tests and implementing improvements to the job-seeker recommendation pipeline. Throughout the day, you'll participate in scientific discussions with peers across the organization, providing valuable feedback while continuing to refine your expertise. About the team The Recommendations team is a hybrid group of software engineers and applied scientists located in Edinburgh. We build tools that match people to jobs and jobs to people, optimizing experiences for both recruiters and candidates. Our work directly impacts Amazon's ability to find and hire exceptional talent globally. The team maintains a collaborative environment with regular knowledge sharing and mentorship opportunities. We work closely with our product teams to understand business needs and develop innovative scientific solutions that improve hiring outcomes across both industry and student requisitions worldwide. Basic Qualifications Experience in solving business problems through machine learning, data mining and statistical algorithms Experience programming in Java, C++, Python or related language Speak, write, and read fluently in English Preferred Qualifications PhD in computer science, machine learning, engineering, or related fields Experience in designing experiments and statistical analysis of results Experience in patents or publications at top-tier peer-reviewed conferences or journals Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Aug 24, 2026
Full time
Job ID: Amazon Development Centre (Scotland) Limited Do you want to make a real difference to real people's lives? Want to design and build fair and explainable systems which automate recruitment processes across Amazon? Come and be part of a team that develops new machine learning (ML) technologies, which help Amazon scale for its customers by recruiting diverse teams. Join our Recommendations team within Intelligent Talent Acquisition (ITA) where you'll build machine learning products that transform how job seekers find opportunities and recruiters discover talent. You'll develop sophisticated recommendation systems powering both Amazon Jobs and internal hiring platforms, operating at global scale to match the right people with the right positions. Using techniques including representation learning, reinforcement learning, and probabilistic modeling, your work will directly improve efficiency for recruiters and help candidates find their ideal roles. This position offers the chance to solve complex problems with significant impact by creating systems that make Amazon's entire hiring ecosystem more effective while collaborating with scientists across the organization. Key job responsibilities Design and implement machine learning models that power recommendation systems for job seekers and recruiters, ensuring high performance, scalability, and reliability at global scale. Our ideal candidate has a strong scientific foundation and experience of statistical analysis and model building and has a passion for fairness and explainability in ML systems. Collaborate with engineers, scientists, and product managers to define requirements, create solutions, and deliver products that improve the hiring experience. Participate in the full software development lifecycle including scoping, design, coding, testing, documentation, deployment, and maintenance of recommendation systems and ML models. Solve complex ML problems using optimal data structures and algorithms, making thoughtful trade-offs between efficiency and maintainability. Stay current with scientific literature and develop novel approaches that address business challenges in talent acquisition. You will have the opportunity to provide feedback on scientific work across the organization helping the entire Intelligent Talent Acquisition organization improve. A day in the life You might spend the morning reviewing a colleague's code for a new recommendation algorithm feature, then collaborate with product managers to refine requirements for an upcoming enhancement. After lunch, you'll dive into model development, analyzing performance metrics from recent A/B tests and implementing improvements to the job-seeker recommendation pipeline. Throughout the day, you'll participate in scientific discussions with peers across the organization, providing valuable feedback while continuing to refine your expertise. About the team The Recommendations team is a hybrid group of software engineers and applied scientists located in Edinburgh. We build tools that match people to jobs and jobs to people, optimizing experiences for both recruiters and candidates. Our work directly impacts Amazon's ability to find and hire exceptional talent globally. The team maintains a collaborative environment with regular knowledge sharing and mentorship opportunities. We work closely with our product teams to understand business needs and develop innovative scientific solutions that improve hiring outcomes across both industry and student requisitions worldwide. Basic Qualifications Experience in solving business problems through machine learning, data mining and statistical algorithms Experience programming in Java, C++, Python or related language Speak, write, and read fluently in English Preferred Qualifications PhD in computer science, machine learning, engineering, or related fields Experience in designing experiments and statistical analysis of results Experience in patents or publications at top-tier peer-reviewed conferences or journals Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
