# Senior Consultant - Data ArchitectLocation: London, United KingdomEmployment Type: Full-TimeIndustryJob Family: TechnologyCareer Level: Experienced Architect and implement end-to-end data solutions that address complex business problems, from data ingestion and processing to analytics and visualisation Collaborate with cross-functional teams to design, develop, and maintain scalable data pipelines and ETL processes to support analytics, business intelligence and data science initiatives Design data solutions that integrate both modern and legacy platforms, ensuring seamless data flow and accessibility Develop and maintain conceptual, logical, and physical data models (dimensional, relational, and/or data vault) Establish architectural best practices covering security, performance, scalability, and cost optimisation Design and own end-to-end data architecture solutions aligned to business and technology strategy Provide technical leadership, architecture governance, and design documentation across data initiatives Develop and maintain data models, schemas, and metadata repositories Implement robust data quality frameworks and governance policies to maintain data integrity, security, and compliance throughout the data lifecycle Leverage AI technologies to enhance data solutions through intelligent automation, anomaly detection, and predictive data quality monitoring, while ensuring ethical AI practices and governance Translate complex data insights into compelling visual narratives and actionable recommendations for both technical and non-technical stakeholders Adopt and communicate new concepts, ideas, techniques, and best practices, including prototyping new architecture methods, tools and products that might provide future value to our clients IDEALLY, WE'D LIKE: Total Rewards associated with this position include a comprehensive benefits package designed to support your well-being and financial security. Unique perks include flexible time off, a private medical plan, a health cash plan, a workplace savings scheme (including ISAs and GIAs), and enhanced parental leave. Applicants must be authorized to work in the United Kingdom, without the need for visa sponsorship by North Highland. Work visa sponsorship will not be provided, either now or in the future, for this position. North Highland is an equal opportunity employer, and we adhere to all applicable laws and regulations to ensure a fair and equitable workplace. All qualified applicants will receive fair and impartial consideration without regard to race, color, sex, gender identity, religion, national origin, age, sexual orientation, disability, veteran status, or any other characteristic protected by law. We handle all information in accordance local privacy standards and maintain strict confidentiality.This role is primarily responsible for delivering data and analytics work using modern data platforms and analytical techniques. YOU WILL: MAKE STRATEGY A REALITY ACCELERATE YOUR GROWTH CHOOSE YOUR PATH As the world's leading change and transformation consultancy, we're helping businesses move from strategy to reality by taking a pragmatic and practical approach to build solutions that last. We're seeking a Senior Consultant - Data Architect in London in Technology & Data to help us take vision to value and create lasting impact. SUMMARY Bachelor's or foreign equivalent degree in computer science, computer engineering, data engineering, or a related field 5+ years of experience in data engineering, including designing and implementing ETL processes, data pipelines, and data storage solutions, ideally with 2+ years of experience leading data engineering projects or workstreams Extensive experience with cloud platforms and their data services, with relevant cloud data engineering certifications (e.g., AWS Certified Data Analytics, Google Professional Data Engineer, Microsoft Certified: Azure Data Engineer Associate) Knowledge of data governance principles and best practices Experience working with data visualisation techniques and tools (e.g., PowerBI, Tableau, Looker) and deploying enterprise-wide analytics dashboards Experience with AI and machine learning integration in data solutions, including working knowledge of AI governance frameworks and ethical considerations Demonstrated ability to translate data insights into business value and communicate complex technical concepts to executive stakeholders Strong ability to work independently and collaboratively in a dynamic, hybrid environment Strong communication skills and ability to translate complex technical concepts to non-technical stakeholders Travel: regional travel expected on an as-needed basis, depending on client needs, up to 50%
May 13, 2026
Full time
# Senior Consultant - Data ArchitectLocation: London, United KingdomEmployment Type: Full-TimeIndustryJob Family: TechnologyCareer Level: Experienced Architect and implement end-to-end data solutions that address complex business problems, from data ingestion and processing to analytics and visualisation Collaborate with cross-functional teams to design, develop, and maintain scalable data pipelines and ETL processes to support analytics, business intelligence and data science initiatives Design data solutions that integrate both modern and legacy platforms, ensuring seamless data flow and accessibility Develop and maintain conceptual, logical, and physical data models (dimensional, relational, and/or data vault) Establish architectural best practices covering security, performance, scalability, and cost optimisation Design and own end-to-end data architecture solutions aligned to business and technology strategy Provide technical leadership, architecture governance, and design documentation across data initiatives Develop and maintain data models, schemas, and metadata repositories Implement robust data quality frameworks and governance policies to maintain data integrity, security, and compliance throughout the data lifecycle Leverage AI technologies to enhance data solutions through intelligent automation, anomaly detection, and predictive data quality monitoring, while ensuring ethical AI practices and governance Translate complex data insights into compelling visual narratives and actionable recommendations for both technical and non-technical stakeholders Adopt and communicate new concepts, ideas, techniques, and best practices, including prototyping new architecture methods, tools and products that might provide future value to our clients IDEALLY, WE'D LIKE: Total Rewards associated with this position include a comprehensive benefits package designed to support your well-being and financial security. Unique perks include flexible time off, a private medical plan, a health cash plan, a workplace savings scheme (including ISAs and GIAs), and enhanced parental leave. Applicants must be authorized to work in the United Kingdom, without the need for visa sponsorship by North Highland. Work visa sponsorship will not be provided, either now or in the future, for this position. North Highland is an equal opportunity employer, and we adhere to all applicable laws and regulations to ensure a fair and equitable workplace. All qualified applicants will receive fair and impartial consideration without regard to race, color, sex, gender identity, religion, national origin, age, sexual orientation, disability, veteran status, or any other characteristic protected by law. We handle all information in accordance local privacy standards and maintain strict confidentiality.This role is primarily responsible for delivering data and analytics work using modern data platforms and analytical techniques. YOU WILL: MAKE STRATEGY A REALITY ACCELERATE YOUR GROWTH CHOOSE YOUR PATH As the world's leading change and transformation consultancy, we're helping businesses move from strategy to reality by taking a pragmatic and practical approach to build solutions that last. We're seeking a Senior Consultant - Data Architect in London in Technology & Data to help us take vision to value and create lasting impact. SUMMARY Bachelor's or foreign equivalent degree in computer science, computer engineering, data engineering, or a related field 5+ years of experience in data engineering, including designing and implementing ETL processes, data pipelines, and data storage solutions, ideally with 2+ years of experience leading data engineering projects or workstreams Extensive experience with cloud platforms and their data services, with relevant cloud data engineering certifications (e.g., AWS Certified Data Analytics, Google Professional Data Engineer, Microsoft Certified: Azure Data Engineer Associate) Knowledge of data governance principles and best practices Experience working with data visualisation techniques and tools (e.g., PowerBI, Tableau, Looker) and deploying enterprise-wide analytics dashboards Experience with AI and machine learning integration in data solutions, including working knowledge of AI governance frameworks and ethical considerations Demonstrated ability to translate data insights into business value and communicate complex technical concepts to executive stakeholders Strong ability to work independently and collaboratively in a dynamic, hybrid environment Strong communication skills and ability to translate complex technical concepts to non-technical stakeholders Travel: regional travel expected on an as-needed basis, depending on client needs, up to 50%
CES Advanced Composites UK is seeking a motivated and capable Production Engineer to support our newly established Aircraft Interior Development Centre in Romsey. This facility plays a critical role in bridging early-stage composite development and full-scale serial production. The successful candidate will work at the forefront of product and process development, helping transform prototype and test components into robust, repeatable manufacturing processes. These processes will ultimately be transferred to our production facility in Turkey following successful First Article Inspection (FAI). In addition, the role will provide secondary support to CES Defence programmes, particularly UK sovereign ballistic armour projects, which may pass through the UK facility for development or rework activities. This is a hands-on, multidisciplinary role combining design, manufacturing engineering, and project delivery within a growing aerospace and defence composites environment. Key Responsibilities Design & Engineering Create 3D solid models and detailed engineering drawings using SolidWorks Develop design solutions to support manufacturability and process efficiency Maintain accurate technical documentation and revision control Manufacturing & Process Development Develop and optimise CAD/CAM programs for CNC equipment Support commissioning and operation of new machinery, including: CNC robot trimming system (on order) 3-axis CNC router table Attend supplier-provided training courses for new CNC machinery and associated CAD/CAM software, and apply learning to internal process development Define and refine manufacturing processes for composite components Support transition from development to production-ready processes Autoclave & Composites Processing Develop, control, and optimise autoclave cure programs Support composite layup, curing, and finishing processes Ensure process consistency and repeatability Project Management Lead and support development projects from concept through to FAI Track progress, timelines, and deliverables Liaise with internal stakeholders and international production teams Quality & Compliance Support the Quality Manager in maintaining the ISO 9001 Quality Management System Assist in the implementation of AS9100 certification over the next 12 months Ensure all processes and documentation meet aerospace standards and traceability requirements Defence & Ballistic Armour Support Provide secondary engineering support to CES Defence programmes Support development and industrialisation of ballistic armour solutions for UK sovereign projects Assist with occasional rework, modification, or repair activities on armour contracts at the UK site Ensure compliance with relevant defence and quality standards where applicable Skills & Experience Required Engineering degree or strong practical experience in a relevant manufacturing or engineering environment Proven experience in composite manufacturing or aerospace/defence production environments Proficiency in SolidWorks (3D modelling and drawing production) Experience with CNC programming and CAD/CAM systems Willingness to attend and engage in supplier-led training for new CNC equipment and software Understanding of composite processes (prepreg, autoclave curing, trimming) Strong project management and organisational skills Knowledge of quality systems (ISO 9001; AS9100 desirable) Personal Attributes Proactive and hands-on approach Strong problem-solving mindset Ability to work independently and as part of a small, growing team Effective communicator across technical and non-technical teams Adaptable in a fast-paced development environment What We Offer Opportunity to shape a new and growing development centre Exposure to full product lifecycle from concept to production Involvement in both aerospace and defence composite applications Training and upskilling on advanced CNC equipment and CAD/CAM systems Collaborative international working environment Career development within advanced composites engineering
May 13, 2026
Full time
CES Advanced Composites UK is seeking a motivated and capable Production Engineer to support our newly established Aircraft Interior Development Centre in Romsey. This facility plays a critical role in bridging early-stage composite development and full-scale serial production. The successful candidate will work at the forefront of product and process development, helping transform prototype and test components into robust, repeatable manufacturing processes. These processes will ultimately be transferred to our production facility in Turkey following successful First Article Inspection (FAI). In addition, the role will provide secondary support to CES Defence programmes, particularly UK sovereign ballistic armour projects, which may pass through the UK facility for development or rework activities. This is a hands-on, multidisciplinary role combining design, manufacturing engineering, and project delivery within a growing aerospace and defence composites environment. Key Responsibilities Design & Engineering Create 3D solid models and detailed engineering drawings using SolidWorks Develop design solutions to support manufacturability and process efficiency Maintain accurate technical documentation and revision control Manufacturing & Process Development Develop and optimise CAD/CAM programs for CNC equipment Support commissioning and operation of new machinery, including: CNC robot trimming system (on order) 3-axis CNC router table Attend supplier-provided training courses for new CNC machinery and associated CAD/CAM software, and apply learning to internal process development Define and refine manufacturing processes for composite components Support transition from development to production-ready processes Autoclave & Composites Processing Develop, control, and optimise autoclave cure programs Support composite layup, curing, and finishing processes Ensure process consistency and repeatability Project Management Lead and support development projects from concept through to FAI Track progress, timelines, and deliverables Liaise with internal stakeholders and international production teams Quality & Compliance Support the Quality Manager in maintaining the ISO 9001 Quality Management System Assist in the implementation of AS9100 certification over the next 12 months Ensure all processes and documentation meet aerospace standards and traceability requirements Defence & Ballistic Armour Support Provide secondary engineering support to CES Defence programmes Support development and industrialisation of ballistic armour solutions for UK sovereign projects Assist with occasional rework, modification, or repair activities on armour contracts at the UK site Ensure compliance with relevant defence and quality standards where applicable Skills & Experience Required Engineering degree or strong practical experience in a relevant manufacturing or engineering environment Proven experience in composite manufacturing or aerospace/defence production environments Proficiency in SolidWorks (3D modelling and drawing production) Experience with CNC programming and CAD/CAM systems Willingness to attend and engage in supplier-led training for new CNC equipment and software Understanding of composite processes (prepreg, autoclave curing, trimming) Strong project management and organisational skills Knowledge of quality systems (ISO 9001; AS9100 desirable) Personal Attributes Proactive and hands-on approach Strong problem-solving mindset Ability to work independently and as part of a small, growing team Effective communicator across technical and non-technical teams Adaptable in a fast-paced development environment What We Offer Opportunity to shape a new and growing development centre Exposure to full product lifecycle from concept to production Involvement in both aerospace and defence composite applications Training and upskilling on advanced CNC equipment and CAD/CAM systems Collaborative international working environment Career development within advanced composites engineering
Job Title: Account Manager - IT Location: Newbury Salary: Competitive Job Type: Permanent, Full Time At Netteam tX, we recognise and develop talent, and look to retain talent through the creation of career opportunities, lateral and horizontal. Our culture is centered around our belief in continually refining our skills and knowledge, collectively as a team as well as individually. We actively encourage creativity and innovation, and we strongly believe that it is our people that make us great. About the Role: We are seeking an Account Manager - IT to serve as a strategic advisor and technical liaison between our organisation and clients. Your core objective will be to drive customer satisfaction, retention, and technology adoption by aligning our solutions to client needs and business goals. You will build strong relationships with stakeholders, provide proactive technical support, and identify opportunities for service improvement and growth. Key Responsibilities: Client Engagement & Relationship Management: Act as the primary technical contact for assigned clients and maintain trusted relationships with key stakeholders. Lead regular service reviews, including quarterly business reviews and roadmap discussions. Technical Strategy & Advisory: Gain an in-depth understanding of client IT environments, business priorities, and challenges. Offer expert guidance on IT best practices, solution optimisation, and innovative technology adoption, including networks, cloud services, cybersecurity, and workplace technologies such as Microsoft 365, Azure, AWS, and Google Cloud Platform. Translate technical concepts into business-aligned language for non-technical stakeholders. Advise on emerging technologies like AI and machine learning, and how these can support client objectives. Help clients define and manage IT budgets, including cost-benefit analysis and ROI evaluation of IT investments. Service & Project Oversight: Monitor service performance metrics and ensure effective issue resolution in collaboration with internal teams. Work with project managers and engineers to deliver successful IT projects such as hybrid cloud setups, network security, and software deployments. Advocate for clients within the organisation, leveraging ITIL frameworks and service management tools to escalate and resolve concerns. Account Growth & Opportunity Identification: Use data analytics and CRM systems to identify upselling and cross-selling opportunities. Collaborate with the sales team to develop technical proposals tailored to client needs. Provide technical insights during license and renewal negotiations. Promote new products and services, ensuring all potential growth opportunities are explored. Maintain regular pipeline forecasts for both your clients and your team. Compliance & Security Maintain a solid understanding of Information Security Management Systems (ISMS) and ensure compliance with data protection policies and regulations. About you: Experience: Proven experience as a strategic IT advisor to senior clients, ideally as an Account Manager, TAM, Solutions Consultant, or Engineer. Background in IT infrastructure, cloud services, cybersecurity, and modern workplace technologies. Experience in MSP and IT sales, developing new business, managing client relationships, and leading sales initiatives. Ability to lead client-facing discussions focused on both business needs and technological solutions. Commercial awareness with a knack for identifying value-based solutions. Extensive experience managing large client accounts, translating technical concepts for non-technical stakeholders, and influencing decision-makers. Proficiency with CRM systems, using data to manage client relationships and optimise sales. A degree or equivalent is highly desirable. Personal Attributes: Friendly, professional, and commercially astute. Strategic, excited about tech, and able to engage stakeholders. Strong written and verbal communication skills, especially when explaining technical issues to non-technical clients. Clear and frequent communicator who values problem-solving and learning. Disciplined and able to prioritise and execute tasks under pressure. Why join us? Work-life balance is the norm, not a perk Enjoy a fun, productive environment with a supportive team Workplace pension provided Access to comprehensive in-house and external training Competitive salary reflecting your skills and experience Diversity and Inclusion: We are proactively committed to creating a diverse workforce at Netteam tX. We value diversity and inclusion; we want to attract the best people for all our roles. This is regardless of age, ethnicity, sexual orientation, gender, disability, socioeconomic status or religious beliefs. Other: In line with our recruitment policy and client expectation, some roles will be subject to a basic DBS disclosure. Please click on the APPLY button to send your CV and Cover Letter for this role. Candidates with experience of: IT Account Manager, IT Advisor, IT Customer Service Advisor, IT Solutions Consultant, IT Engineer, IT Consultant, IT Sales Engineer, IT Business Development Manager, Sales Account Manager may also be considered for this role.
May 13, 2026
Full time
Job Title: Account Manager - IT Location: Newbury Salary: Competitive Job Type: Permanent, Full Time At Netteam tX, we recognise and develop talent, and look to retain talent through the creation of career opportunities, lateral and horizontal. Our culture is centered around our belief in continually refining our skills and knowledge, collectively as a team as well as individually. We actively encourage creativity and innovation, and we strongly believe that it is our people that make us great. About the Role: We are seeking an Account Manager - IT to serve as a strategic advisor and technical liaison between our organisation and clients. Your core objective will be to drive customer satisfaction, retention, and technology adoption by aligning our solutions to client needs and business goals. You will build strong relationships with stakeholders, provide proactive technical support, and identify opportunities for service improvement and growth. Key Responsibilities: Client Engagement & Relationship Management: Act as the primary technical contact for assigned clients and maintain trusted relationships with key stakeholders. Lead regular service reviews, including quarterly business reviews and roadmap discussions. Technical Strategy & Advisory: Gain an in-depth understanding of client IT environments, business priorities, and challenges. Offer expert guidance on IT best practices, solution optimisation, and innovative technology adoption, including networks, cloud services, cybersecurity, and workplace technologies such as Microsoft 365, Azure, AWS, and Google Cloud Platform. Translate technical concepts into business-aligned language for non-technical stakeholders. Advise on emerging technologies like AI and machine learning, and how these can support client objectives. Help clients define and manage IT budgets, including cost-benefit analysis and ROI evaluation of IT investments. Service & Project Oversight: Monitor service performance metrics and ensure effective issue resolution in collaboration with internal teams. Work with project managers and engineers to deliver successful IT projects such as hybrid cloud setups, network security, and software deployments. Advocate for clients within the organisation, leveraging ITIL frameworks and service management tools to escalate and resolve concerns. Account Growth & Opportunity Identification: Use data analytics and CRM systems to identify upselling and cross-selling opportunities. Collaborate with the sales team to develop technical proposals tailored to client needs. Provide technical insights during license and renewal negotiations. Promote new products and services, ensuring all potential growth opportunities are explored. Maintain regular pipeline forecasts for both your clients and your team. Compliance & Security Maintain a solid understanding of Information Security Management Systems (ISMS) and ensure compliance with data protection policies and regulations. About you: Experience: Proven experience as a strategic IT advisor to senior clients, ideally as an Account Manager, TAM, Solutions Consultant, or Engineer. Background in IT infrastructure, cloud services, cybersecurity, and modern workplace technologies. Experience in MSP and IT sales, developing new business, managing client relationships, and leading sales initiatives. Ability to lead client-facing discussions focused on both business needs and technological solutions. Commercial awareness with a knack for identifying value-based solutions. Extensive experience managing large client accounts, translating technical concepts for non-technical stakeholders, and influencing decision-makers. Proficiency with CRM systems, using data to manage client relationships and optimise sales. A degree or equivalent is highly desirable. Personal Attributes: Friendly, professional, and commercially astute. Strategic, excited about tech, and able to engage stakeholders. Strong written and verbal communication skills, especially when explaining technical issues to non-technical clients. Clear and frequent communicator who values problem-solving and learning. Disciplined and able to prioritise and execute tasks under pressure. Why join us? Work-life balance is the norm, not a perk Enjoy a fun, productive environment with a supportive team Workplace pension provided Access to comprehensive in-house and external training Competitive salary reflecting your skills and experience Diversity and Inclusion: We are proactively committed to creating a diverse workforce at Netteam tX. We value diversity and inclusion; we want to attract the best people for all our roles. This is regardless of age, ethnicity, sexual orientation, gender, disability, socioeconomic status or religious beliefs. Other: In line with our recruitment policy and client expectation, some roles will be subject to a basic DBS disclosure. Please click on the APPLY button to send your CV and Cover Letter for this role. Candidates with experience of: IT Account Manager, IT Advisor, IT Customer Service Advisor, IT Solutions Consultant, IT Engineer, IT Consultant, IT Sales Engineer, IT Business Development Manager, Sales Account Manager may also be considered for this role.
Director, Machine Learning Science - Content AI Our Technology Team partners with teams across Expedia Group to create innovative products, services, and tools that deliver high-quality experiences for travelers, partners, and our employees. A single technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction. Introduction to the Team We're seeking a Director of Machine Learning Science to lead our Content AI strategy and execution. In this pivotal role, you will move beyond traditional ML applications to architect the next generation of our Content Engine. You will leverage Large Language Models (LLMs), Multimodal Modality, Agentic Workflow to ensure that every image, review, property description, and video is not only relevant but inspiring, safe, and hyper-personalized. Responsibilities Define the Content AI Strategy: Establish the technical roadmap and OKRs for the Machine Learning systems that power Content Generation, Content Moderation, and Content Relevance across our global ecosystem. Lead AI Innovation: Spearhead the deployment of cutting edge AI solutions (LLMs, Diffusion Models) to automate content creation (text, image, video) and summarization, enhancing discovery on both app and web platforms. Pioneer Agentic Workflows: Drive the research and development of autonomous AI Agents capable of reasoning over vast content repositories to answer complex traveler queries and perform multi-step planning tasks. Master Content Relevance & Safety: Oversee the development of models that rank and personalize content to improve conversion and loyalty, while simultaneously building robust automated moderation pipelines to ensure brand safety, trust, and quality at scale. Bridge the Gap between Research & Product: Prioritize efforts between foundational platform migration/optimization and cutting edge experimentation with new GenAI features. Influence & Collaborate: Foster cross functional partnerships with Product, Engineering, Legal, and Supply teams to integrate AI generated content into the core user experience seamlessly. Build a World Class Team: Recruit, mentor, and manage a high performing team of Applied Scientists and AI Engineers, fostering a culture of technical excellence and rapid experimentation. Minimum Qualifications Graduate degree (PhD preferred) in Computer Science, Artificial Intelligence, Computational Linguistics, or equivalent experience. 12+ years of experience in Machine Learning Science with a specific focus on NLP, Computer Vision, or Recommender Systems. 5+ years of people management experience, with a track record of leading high performing science teams in a tech first environment. Hands on experience with Generative AI technologies (e.g., Transformer architectures, LLMs like LLaMA/GPT, RAG pipelines, PEFT/LoRA fine tuning). Understanding of hallucination, latency, and cost optimization. Proven experience in the Content ML/AI space, specifically regarding Content Understanding, Moderation, Generation, and Relevance, creating rich and immersive user experiences. A proven track record of taking high risk, high reward ML projects from proof of concept to large scale production serving millions of users. Preferred Qualifications Agentic AI Experience: Experience building and deploying Agentic workflows with tool use, planning, and reasoning capabilities. Ability to translate complex AI concepts into clear business value for executive stakeholders. Pay Range: Total cash base $242,000.00 to $338,500.00 in San Jose. Potential to increase salary up to $387,000.00 based on performance. Starting pay varies by location, budget, and experience. Benefits: medical/dental/vision, paid time off, Employee Assistance Program, wellness & travel reimbursement, travel discounts, International Airlines Travel Agent membership. View our full list of benefits. Accommodation Requests If you need assistance with any part of the application or recruiting process due to a disability or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
May 12, 2026
Full time
Director, Machine Learning Science - Content AI Our Technology Team partners with teams across Expedia Group to create innovative products, services, and tools that deliver high-quality experiences for travelers, partners, and our employees. A single technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction. Introduction to the Team We're seeking a Director of Machine Learning Science to lead our Content AI strategy and execution. In this pivotal role, you will move beyond traditional ML applications to architect the next generation of our Content Engine. You will leverage Large Language Models (LLMs), Multimodal Modality, Agentic Workflow to ensure that every image, review, property description, and video is not only relevant but inspiring, safe, and hyper-personalized. Responsibilities Define the Content AI Strategy: Establish the technical roadmap and OKRs for the Machine Learning systems that power Content Generation, Content Moderation, and Content Relevance across our global ecosystem. Lead AI Innovation: Spearhead the deployment of cutting edge AI solutions (LLMs, Diffusion Models) to automate content creation (text, image, video) and summarization, enhancing discovery on both app and web platforms. Pioneer Agentic Workflows: Drive the research and development of autonomous AI Agents capable of reasoning over vast content repositories to answer complex traveler queries and perform multi-step planning tasks. Master Content Relevance & Safety: Oversee the development of models that rank and personalize content to improve conversion and loyalty, while simultaneously building robust automated moderation pipelines to ensure brand safety, trust, and quality at scale. Bridge the Gap between Research & Product: Prioritize efforts between foundational platform migration/optimization and cutting edge experimentation with new GenAI features. Influence & Collaborate: Foster cross functional partnerships with Product, Engineering, Legal, and Supply teams to integrate AI generated content into the core user experience seamlessly. Build a World Class Team: Recruit, mentor, and manage a high performing team of Applied Scientists and AI Engineers, fostering a culture of technical excellence and rapid experimentation. Minimum Qualifications Graduate degree (PhD preferred) in Computer Science, Artificial Intelligence, Computational Linguistics, or equivalent experience. 12+ years of experience in Machine Learning Science with a specific focus on NLP, Computer Vision, or Recommender Systems. 5+ years of people management experience, with a track record of leading high performing science teams in a tech first environment. Hands on experience with Generative AI technologies (e.g., Transformer architectures, LLMs like LLaMA/GPT, RAG pipelines, PEFT/LoRA fine tuning). Understanding of hallucination, latency, and cost optimization. Proven experience in the Content ML/AI space, specifically regarding Content Understanding, Moderation, Generation, and Relevance, creating rich and immersive user experiences. A proven track record of taking high risk, high reward ML projects from proof of concept to large scale production serving millions of users. Preferred Qualifications Agentic AI Experience: Experience building and deploying Agentic workflows with tool use, planning, and reasoning capabilities. Ability to translate complex AI concepts into clear business value for executive stakeholders. Pay Range: Total cash base $242,000.00 to $338,500.00 in San Jose. Potential to increase salary up to $387,000.00 based on performance. Starting pay varies by location, budget, and experience. Benefits: medical/dental/vision, paid time off, Employee Assistance Program, wellness & travel reimbursement, travel discounts, International Airlines Travel Agent membership. View our full list of benefits. Accommodation Requests If you need assistance with any part of the application or recruiting process due to a disability or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
IT Service Delivery Manager / IT Customer Service Manager Position: Senior Service Manager (internal name) Location: Ringwood, Hampshire + Hybrid home working (non-contractual) Salary: £40,000 + Overtime +Benefits + Company Profit Share Hours: 37.5 hours per week The Role Working in a team of three Senior Service Managers, reporting to the Service Delivery Manager, you will form part of a well-established service management team. You will be helping to lead the delivery of high-quality IT support services and drive continuous improvement across our operational environment. You will be responsible, as a team, for the delivery of our support services. You will take responsibility for the end to end customer experience, ensuring service excellence through effective alignment of people, processes and technology. You will identify improvement opportunities, drive change, and ensure ISO management systems are actively promoted and embedded across the support team. As a Senior Support Manager, you will manage a team of Service Managers and 2nd Line Technicians to their full potential. Duties Include: Identify and mitigate risks which could impact our services, performance or compliance. Produce and interpret departmental KPI reports to assess operational performance, monitor efficiency, identify risks, and recommend improvements to support department objectives. Act as a key representative for the support department during service transitions, change initiatives, and project delivery. Champion our commitment to ISO management systems within the support team, embedding best practice and continuous improvement. Skills and Experience: Experience in Service Delivery or IT Service Management (3 years preferred), with proven people management experience, a strong track record managing incidents, problems, and major incidents. Solid understanding of IT support environments, ideally with previous hands-on troubleshooting or IT operations experience. Experience and knowledge of using ITIL best practice. Excellent communication and stakeholder management skills, manage escalations professionally, and present confidently. Strong analytical and reporting ability. Ability to learn new technologies quickly. Organised and adaptable, capable of managing multiple priorities and performing effectively under pressure. Proactive and improvement focused, committed to continuous learning, professional development, and raising service standards. The role is subject to a standard clear DBS being received. The Package: Company Profit Share (first £3,600 is tax free). 22 days annual leave plus bank holidays, increasing with length of service. Birthday as additional paid leave. Additional paid leave (dependent on company performance). Company sick pay policy. Pension Scheme. Private Medical Insurance including dental. Free Parking. Hybrid Working. Progression opportunities. Fresh fruit, the occasional pizza and a posh coffee machine! Trusted Technology Partnership Trusted Technology Partnership has been a specialist IT Infrastructure and Support Services provider for over 25 years. We are an Employee Ownership Trust. We are proud winners of Best Place to Work award and overall winner of the Ringwood Business Awards 2024. Our core services include support desk, on-site engineering, project management and delivery, storage and logistics, software development and technical consultancy. We encourage progression within Trusted Technology Partnership for our colleagues, offering opportunities in other teams and departments. Join our friendly company, where a great team and a positive culture await you.
May 12, 2026
Full time
IT Service Delivery Manager / IT Customer Service Manager Position: Senior Service Manager (internal name) Location: Ringwood, Hampshire + Hybrid home working (non-contractual) Salary: £40,000 + Overtime +Benefits + Company Profit Share Hours: 37.5 hours per week The Role Working in a team of three Senior Service Managers, reporting to the Service Delivery Manager, you will form part of a well-established service management team. You will be helping to lead the delivery of high-quality IT support services and drive continuous improvement across our operational environment. You will be responsible, as a team, for the delivery of our support services. You will take responsibility for the end to end customer experience, ensuring service excellence through effective alignment of people, processes and technology. You will identify improvement opportunities, drive change, and ensure ISO management systems are actively promoted and embedded across the support team. As a Senior Support Manager, you will manage a team of Service Managers and 2nd Line Technicians to their full potential. Duties Include: Identify and mitigate risks which could impact our services, performance or compliance. Produce and interpret departmental KPI reports to assess operational performance, monitor efficiency, identify risks, and recommend improvements to support department objectives. Act as a key representative for the support department during service transitions, change initiatives, and project delivery. Champion our commitment to ISO management systems within the support team, embedding best practice and continuous improvement. Skills and Experience: Experience in Service Delivery or IT Service Management (3 years preferred), with proven people management experience, a strong track record managing incidents, problems, and major incidents. Solid understanding of IT support environments, ideally with previous hands-on troubleshooting or IT operations experience. Experience and knowledge of using ITIL best practice. Excellent communication and stakeholder management skills, manage escalations professionally, and present confidently. Strong analytical and reporting ability. Ability to learn new technologies quickly. Organised and adaptable, capable of managing multiple priorities and performing effectively under pressure. Proactive and improvement focused, committed to continuous learning, professional development, and raising service standards. The role is subject to a standard clear DBS being received. The Package: Company Profit Share (first £3,600 is tax free). 22 days annual leave plus bank holidays, increasing with length of service. Birthday as additional paid leave. Additional paid leave (dependent on company performance). Company sick pay policy. Pension Scheme. Private Medical Insurance including dental. Free Parking. Hybrid Working. Progression opportunities. Fresh fruit, the occasional pizza and a posh coffee machine! Trusted Technology Partnership Trusted Technology Partnership has been a specialist IT Infrastructure and Support Services provider for over 25 years. We are an Employee Ownership Trust. We are proud winners of Best Place to Work award and overall winner of the Ringwood Business Awards 2024. Our core services include support desk, on-site engineering, project management and delivery, storage and logistics, software development and technical consultancy. We encourage progression within Trusted Technology Partnership for our colleagues, offering opportunities in other teams and departments. Join our friendly company, where a great team and a positive culture await you.
Rail Workshop Manager Location: North Greenwich, London Contract: 12-Month Fixed Term (extension possible) Hours: Full-time, Monday-Friday (37.5 hours) About the Role We're seeking an experienced Workshop Manager to lead a technical repair workshop supporting a major telecom/system programme (gate lines, ticket machines, and software). You'll oversee workshop operations, lead a multi-disciplinary team, and ensure high-quality, efficient delivery in a fast-paced environment. Key Responsibilities Lead the day-to-day operation of the repair workshop Manage and develop a multi-skilled technical team Oversee repair, refurbishment, and maintenance activities Plan workloads and optimise resources and turnaround times Act as escalation point for technical and operational issues Coordinate with stakeholders, logistics teams, and subcontractors What We're Looking For Experience managing a technical repair workshop/service environment Strong understanding of electronic, telecoms, and rail systems Proven team leadership and process improvement experience Strong organisation, problem-solving, and communication skills Background in rail or TFL Experience with logistics, spares, or stock control Knowledge of diagnostics, root cause analysis, or system engineering What's on Offer Salary CIRCA 65,000 Work on a high - profile TfL programme Collaborative, professional team environment 25 days holiday + bank holidays (with buy/sell options) Pension, private medical, life assurance, and additional benefits Learning, development, and flexible working options
May 12, 2026
Contractor
Rail Workshop Manager Location: North Greenwich, London Contract: 12-Month Fixed Term (extension possible) Hours: Full-time, Monday-Friday (37.5 hours) About the Role We're seeking an experienced Workshop Manager to lead a technical repair workshop supporting a major telecom/system programme (gate lines, ticket machines, and software). You'll oversee workshop operations, lead a multi-disciplinary team, and ensure high-quality, efficient delivery in a fast-paced environment. Key Responsibilities Lead the day-to-day operation of the repair workshop Manage and develop a multi-skilled technical team Oversee repair, refurbishment, and maintenance activities Plan workloads and optimise resources and turnaround times Act as escalation point for technical and operational issues Coordinate with stakeholders, logistics teams, and subcontractors What We're Looking For Experience managing a technical repair workshop/service environment Strong understanding of electronic, telecoms, and rail systems Proven team leadership and process improvement experience Strong organisation, problem-solving, and communication skills Background in rail or TFL Experience with logistics, spares, or stock control Knowledge of diagnostics, root cause analysis, or system engineering What's on Offer Salary CIRCA 65,000 Work on a high - profile TfL programme Collaborative, professional team environment 25 days holiday + bank holidays (with buy/sell options) Pension, private medical, life assurance, and additional benefits Learning, development, and flexible working options
RecOps is partnered with a leading consultancy to support an AI/Machine Learning project for one of their end clients in the insurance sector. This role is £500 per day, inside IR35, and requires 1 day per week onsite in Central London. Key Skills required: Strong commercial experience as a Machine Learning Engineer or ML Engineer Excellent Python engineering skills , with the ability to build clean, well-tested, production-quality AI/ML systems Experience designing, building and deploying machine learning models into production Strong experience with testing, validation and Python unit testing, ideally using pytest Experience with GenAI/LLMs, including RAG pipelines, embeddings and vector databases Understanding of LLM application risks, including hallucination detection, output validation, prompt injection and jailbreak mitigation Experience with MLOps, CI/CD, model monitoring, versioning and life cycle management Good cloud, Docker and/or Kubernetes experience Ability to work closely with data scientists, software engineers, DevOps teams and business stakeholders If the above sounds like you, please apply now for immediate consideration.
May 12, 2026
Contractor
RecOps is partnered with a leading consultancy to support an AI/Machine Learning project for one of their end clients in the insurance sector. This role is £500 per day, inside IR35, and requires 1 day per week onsite in Central London. Key Skills required: Strong commercial experience as a Machine Learning Engineer or ML Engineer Excellent Python engineering skills , with the ability to build clean, well-tested, production-quality AI/ML systems Experience designing, building and deploying machine learning models into production Strong experience with testing, validation and Python unit testing, ideally using pytest Experience with GenAI/LLMs, including RAG pipelines, embeddings and vector databases Understanding of LLM application risks, including hallucination detection, output validation, prompt injection and jailbreak mitigation Experience with MLOps, CI/CD, model monitoring, versioning and life cycle management Good cloud, Docker and/or Kubernetes experience Ability to work closely with data scientists, software engineers, DevOps teams and business stakeholders If the above sounds like you, please apply now for immediate consideration.
About AQEMIA AQEMIA is a drug invention company dedicated to creating entirely new medicines to address major unmet medical needs. At the core of our mission is QEMI, our proprietary molecule-invention platform, which uniquely combines cutting edge science with advanced technology. Powered by physics based modeling, statistical mechanics, and generative AI, QEMI allows our teams to design novel drug candidates from first principles. About our Team AQEMIA brings together a diverse, multidisciplinary team of 65+ professionals based in Paris and London. Our scientists and engineers-including chemists, physicists, machine learning experts, and software engineers-work side by side to push the boundaries of early stage drug discovery. About the Team The mission of the Molecular Simulations Team is threefold: Support drug discovery programs by maximizing the impact of binding free energy calculations in decision making. Build, benchmark and continuously improve reproducible and scalable pipelines for binding free energy calculations, enabling support for multiple programs in parallel. Collaborate closely with our Physics Research Team to integrate innovations from AQEMIA's proprietary binding free energy methods. Role Overview As a Senior Application Research Scientist in the Molecular Simulations Team, you will be a scientific leader and technical expert, contributing to the strategy and delivery of AQEMIA's Binding Free Energy Technology. You will help define and evolve how physics based simulations inform and accelerate drug discovery decisions at AQEMIA. Key Responsibilities Design and lead large scale simulation studies (e.g., relative and absolute binding free energy predictions). Evaluate and improve modelling protocols for reproducibility, accuracy, and efficiency. Serve as a mentor to junior scientists, promoting best practices in simulation and analysis. Contribute to cross functional planning and the integration of simulations with experimental and AI based insights. Stay at the forefront of developments in molecular simulations and suggest innovations to the team. Support the development and scaling of workflows that can serve multiple drug discovery projects. Work closely with the Research Team to implement improvements and updates to AQEMIA's proprietary binding free energy methods. Qualifications & Experience PhD in Computational Chemistry, Biophysics, Statistical Mechanics, or related discipline. 5+ years of experience in molecular simulations, ideally within an industrial drug discovery context. Deep knowledge of free energy methods, molecular dynamics, and simulation software. Experience running and analysing binding free energy calculations. Strong programming/scripting ability (Python) and experience with code sharing platforms (GitHub). Demonstrated ability to lead scientific projects and communicate effectively across disciplines. Nice to Have Experience in machine learning applications for physics based modelling. Track record of scientific publications and contributions to the computational drug discovery community. Preferred Mindset Scientific Rigour: Champion high scientific standards and promote best practices across the team. Humble and Willing to Learn: Lead by example with curiosity and openness to new ideas. Excited by Challenging Scientific Problems: Passionate about solving complex, cutting edge problems and guiding others through them. Pragmatic and Impact Driven: Combine strategic thinking with practical execution to deliver real world impact in a fast paced environment. Leadership through Influence: Inspire and mentor colleagues while fostering a collaborative, high performance culture. Application Deadline We will be accepting applications until 14th April. Once the role closes, our team will review all submissions and reach out to candidates selected for interview. Benefits Expanding Drug Discovery Pipeline: Focused on critical therapeutic areas such as Oncology, CNS, and Immuno inflammation, with in vivo proof of concept and patent stage programs. Collaborations with top Pharma, including a $140M Sanofi deal. World Class Interdisciplinary Team: Work alongside exceptional talent at the intersection of technology and life sciences. DeepTech Recognition: AQEMIA is proud to be part of the French Tech 120 and France 2030, highlighting our role as a key player in Europe's DeepTech ecosystem. Prime Location with Flexibility: Offices located in the heart of Paris and London (King's Cross), with flexible work arrangements including up to two remote days per week. Strong Financial Backing: $100M raised from leading European and International investors.
May 12, 2026
Full time
About AQEMIA AQEMIA is a drug invention company dedicated to creating entirely new medicines to address major unmet medical needs. At the core of our mission is QEMI, our proprietary molecule-invention platform, which uniquely combines cutting edge science with advanced technology. Powered by physics based modeling, statistical mechanics, and generative AI, QEMI allows our teams to design novel drug candidates from first principles. About our Team AQEMIA brings together a diverse, multidisciplinary team of 65+ professionals based in Paris and London. Our scientists and engineers-including chemists, physicists, machine learning experts, and software engineers-work side by side to push the boundaries of early stage drug discovery. About the Team The mission of the Molecular Simulations Team is threefold: Support drug discovery programs by maximizing the impact of binding free energy calculations in decision making. Build, benchmark and continuously improve reproducible and scalable pipelines for binding free energy calculations, enabling support for multiple programs in parallel. Collaborate closely with our Physics Research Team to integrate innovations from AQEMIA's proprietary binding free energy methods. Role Overview As a Senior Application Research Scientist in the Molecular Simulations Team, you will be a scientific leader and technical expert, contributing to the strategy and delivery of AQEMIA's Binding Free Energy Technology. You will help define and evolve how physics based simulations inform and accelerate drug discovery decisions at AQEMIA. Key Responsibilities Design and lead large scale simulation studies (e.g., relative and absolute binding free energy predictions). Evaluate and improve modelling protocols for reproducibility, accuracy, and efficiency. Serve as a mentor to junior scientists, promoting best practices in simulation and analysis. Contribute to cross functional planning and the integration of simulations with experimental and AI based insights. Stay at the forefront of developments in molecular simulations and suggest innovations to the team. Support the development and scaling of workflows that can serve multiple drug discovery projects. Work closely with the Research Team to implement improvements and updates to AQEMIA's proprietary binding free energy methods. Qualifications & Experience PhD in Computational Chemistry, Biophysics, Statistical Mechanics, or related discipline. 5+ years of experience in molecular simulations, ideally within an industrial drug discovery context. Deep knowledge of free energy methods, molecular dynamics, and simulation software. Experience running and analysing binding free energy calculations. Strong programming/scripting ability (Python) and experience with code sharing platforms (GitHub). Demonstrated ability to lead scientific projects and communicate effectively across disciplines. Nice to Have Experience in machine learning applications for physics based modelling. Track record of scientific publications and contributions to the computational drug discovery community. Preferred Mindset Scientific Rigour: Champion high scientific standards and promote best practices across the team. Humble and Willing to Learn: Lead by example with curiosity and openness to new ideas. Excited by Challenging Scientific Problems: Passionate about solving complex, cutting edge problems and guiding others through them. Pragmatic and Impact Driven: Combine strategic thinking with practical execution to deliver real world impact in a fast paced environment. Leadership through Influence: Inspire and mentor colleagues while fostering a collaborative, high performance culture. Application Deadline We will be accepting applications until 14th April. Once the role closes, our team will review all submissions and reach out to candidates selected for interview. Benefits Expanding Drug Discovery Pipeline: Focused on critical therapeutic areas such as Oncology, CNS, and Immuno inflammation, with in vivo proof of concept and patent stage programs. Collaborations with top Pharma, including a $140M Sanofi deal. World Class Interdisciplinary Team: Work alongside exceptional talent at the intersection of technology and life sciences. DeepTech Recognition: AQEMIA is proud to be part of the French Tech 120 and France 2030, highlighting our role as a key player in Europe's DeepTech ecosystem. Prime Location with Flexibility: Offices located in the heart of Paris and London (King's Cross), with flexible work arrangements including up to two remote days per week. Strong Financial Backing: $100M raised from leading European and International investors.
Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world's hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements. We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you'll feel right at home here. Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future. How you'll demonstrate Ownership As the Data Science (DS) Leader for Value Delivery Europe, you will own and elevate the Data Science capability across the region. Your primary mission is to build a high-performing team of Data Scientists who deliver scalable, production-ready analytical and agentic solutions that accelerate customer value on Cognite Data Fusion and Dune. You will be responsible for the professional development, methods, quality standards, and delivery excellence of the DS profession while coaching Data Scientists to operate as trusted technical advisors in industrial AI and data-driven workflows. You will ensure DS engagements are repeatable, efficient, customer-centric, and aligned with Cognite's delivery standards. This is a capability-building role-your time spent on billable or customer-facing execution will be limited to 20%, ensuring your focus remains on uplifting the DS community, maturing practices, and driving consistency and technical excellence across pods. The Impact you bring to Cognite Regional Technical Leadership (Data Science) Own the DS function's technical quality across all customer engagements in the region Set and maintain standards for modelling quality, agentic workflows, industrial analytics, data validation, and performance testing Ensure scalable, maintainable, and well-documented analytical solutions across all pods. Champion DS solutions that translate industrial challenges into measurable, value-oriented outcomes Guide teams on interpreting KPI impact, validating model performance, and ensuring business stakeholders understand insights and outputs. Support escalations as a senior technical advisor-ensuring pragmatic, customer centric resolution Scaling & Growth Partner with Sales and Product to ensure DS technical feasibility in scoping and expansions. Ensure DS work accelerates adoption of AI enabled workflows, Dune based solutions, and repeatable industrial patterns. Drive standardization of DS approaches, templates, benchmark metrics, and reusable assets to scale the function. Operational & Delivery Quality Management Ensure DS teams follow disciplined delivery practices including: - clear problem framing - structured exploration - robust modelling & validation - well defined acceptance criteria - telemetry, monitoring, and performance checks Improve portfolio predictability by aligning DS work with PM governance, architecture guidelines, and data engineering readiness. Track DS contribution to delivery health, model quality, and customer outcomes. Lead, mentor, and develop the Data Science community across Value Delivery Europe. Define the DS competency framework and build learning pathways covering: - statistics, machine learning, optimisation - deep learning, generative models, agentic frameworks - industrial domain context - Dune workflows and UI based logic - communication, consulting, and delivery excellence Run DS guilds, brown bags, technical shows and tells, and practice reviews. Recruit top DS talent, shape onboarding, and grow internal leaders. Ensure DS teams work seamlessly with PMs, Solution Architects, Data Engineers, Product Ambassadors, and Customer Success. Provide structured feedback loops to Product and Engineering on tooling gaps, bugs, and feature improvements. Support cross functional alignment on best practices for modelling, data readiness, and solution reliability Required Qualifications 7-10+ years in Data Science, Machine Learning, Agentic systems, or industrial analytics roles Proven track record delivering data driven solutions in production-preferably in industrial, asset heavy, or mission critical environments Experience leading technical teams or DS communities Strong applied background in mathematics, statistics, ML, optimisation, or agentic workflows. Ability to translate industrial problems into analytical, predictive, or agent based solutions Familiarity with full stack DS: - backend logic (Python/SQL/pipelines) - UI/workflow experience (Dune, low code/no code, visual interfaces) Excellent communication skills-able to explain complex technical concepts to non technical stakeholders High delivery orientation with strong problem solving and analytical thinking Mindset: Passionate about growing people, uplifting technical depth, and maturing DS practices Curious, experimental, and willing to adopt new frameworks, including Dune based development Collaborative, structured, and committed to customer value and operational excellence Thrives in high growth, rapidly evolving environments A snapshot of our many perks and benefits as a Cogniter Join an organization of 60 different nationalities with Diversity, Equality and Inclusion (DEI) in focus A highly modern and fun working environment with sublime culture across the organization, follow us on to know more Flat structure with direct access to decision makers Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries, with cutting edge technology Join ourHUB ️ to be part of the conversation directly with Cogniters and our partners. Get access to private health services with Cognite Care. Hungry? We've got your back. A subsidized lunch at the canteen is delivered by the chefs at Fornebuporten (Aker Tech House) Our ownCognite exclusive coffee bar with the friendliest baristas is here to brew coffee for coffee lovers, tea for tea lovers, smoothie for smoothie lovers, and the baristas creative concoctions when the mood strikes. We take your mental and physical health seriously by having a broad health offering and a free membership to our fully staffed gym on site. We're globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi. Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.
May 12, 2026
Full time
Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world's hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements. We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you'll feel right at home here. Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future. How you'll demonstrate Ownership As the Data Science (DS) Leader for Value Delivery Europe, you will own and elevate the Data Science capability across the region. Your primary mission is to build a high-performing team of Data Scientists who deliver scalable, production-ready analytical and agentic solutions that accelerate customer value on Cognite Data Fusion and Dune. You will be responsible for the professional development, methods, quality standards, and delivery excellence of the DS profession while coaching Data Scientists to operate as trusted technical advisors in industrial AI and data-driven workflows. You will ensure DS engagements are repeatable, efficient, customer-centric, and aligned with Cognite's delivery standards. This is a capability-building role-your time spent on billable or customer-facing execution will be limited to 20%, ensuring your focus remains on uplifting the DS community, maturing practices, and driving consistency and technical excellence across pods. The Impact you bring to Cognite Regional Technical Leadership (Data Science) Own the DS function's technical quality across all customer engagements in the region Set and maintain standards for modelling quality, agentic workflows, industrial analytics, data validation, and performance testing Ensure scalable, maintainable, and well-documented analytical solutions across all pods. Champion DS solutions that translate industrial challenges into measurable, value-oriented outcomes Guide teams on interpreting KPI impact, validating model performance, and ensuring business stakeholders understand insights and outputs. Support escalations as a senior technical advisor-ensuring pragmatic, customer centric resolution Scaling & Growth Partner with Sales and Product to ensure DS technical feasibility in scoping and expansions. Ensure DS work accelerates adoption of AI enabled workflows, Dune based solutions, and repeatable industrial patterns. Drive standardization of DS approaches, templates, benchmark metrics, and reusable assets to scale the function. Operational & Delivery Quality Management Ensure DS teams follow disciplined delivery practices including: - clear problem framing - structured exploration - robust modelling & validation - well defined acceptance criteria - telemetry, monitoring, and performance checks Improve portfolio predictability by aligning DS work with PM governance, architecture guidelines, and data engineering readiness. Track DS contribution to delivery health, model quality, and customer outcomes. Lead, mentor, and develop the Data Science community across Value Delivery Europe. Define the DS competency framework and build learning pathways covering: - statistics, machine learning, optimisation - deep learning, generative models, agentic frameworks - industrial domain context - Dune workflows and UI based logic - communication, consulting, and delivery excellence Run DS guilds, brown bags, technical shows and tells, and practice reviews. Recruit top DS talent, shape onboarding, and grow internal leaders. Ensure DS teams work seamlessly with PMs, Solution Architects, Data Engineers, Product Ambassadors, and Customer Success. Provide structured feedback loops to Product and Engineering on tooling gaps, bugs, and feature improvements. Support cross functional alignment on best practices for modelling, data readiness, and solution reliability Required Qualifications 7-10+ years in Data Science, Machine Learning, Agentic systems, or industrial analytics roles Proven track record delivering data driven solutions in production-preferably in industrial, asset heavy, or mission critical environments Experience leading technical teams or DS communities Strong applied background in mathematics, statistics, ML, optimisation, or agentic workflows. Ability to translate industrial problems into analytical, predictive, or agent based solutions Familiarity with full stack DS: - backend logic (Python/SQL/pipelines) - UI/workflow experience (Dune, low code/no code, visual interfaces) Excellent communication skills-able to explain complex technical concepts to non technical stakeholders High delivery orientation with strong problem solving and analytical thinking Mindset: Passionate about growing people, uplifting technical depth, and maturing DS practices Curious, experimental, and willing to adopt new frameworks, including Dune based development Collaborative, structured, and committed to customer value and operational excellence Thrives in high growth, rapidly evolving environments A snapshot of our many perks and benefits as a Cogniter Join an organization of 60 different nationalities with Diversity, Equality and Inclusion (DEI) in focus A highly modern and fun working environment with sublime culture across the organization, follow us on to know more Flat structure with direct access to decision makers Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries, with cutting edge technology Join ourHUB ️ to be part of the conversation directly with Cogniters and our partners. Get access to private health services with Cognite Care. Hungry? We've got your back. A subsidized lunch at the canteen is delivered by the chefs at Fornebuporten (Aker Tech House) Our ownCognite exclusive coffee bar with the friendliest baristas is here to brew coffee for coffee lovers, tea for tea lovers, smoothie for smoothie lovers, and the baristas creative concoctions when the mood strikes. We take your mental and physical health seriously by having a broad health offering and a free membership to our fully staffed gym on site. We're globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi. Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.
Data & Trends Researcher (AI, Infrastructure & Supply Chains) Remote Full-time About the Role We're looking for Data & Trends Researchers (mid-senior level) to lead high-impact research into emerging technology ecosystems, with a particular focus on AI infrastructure, supply chains, and real-world signals of technological progress . This role is ideal for individuals who enjoy working at the intersection of data analysis, forecasting, and investigative research , particularly using unconventional or complex datasets (e.g. satellite imagery, supply chain data, or survey data). You will help define research direction, build novel datasets, and produce high-quality insights that inform decision-making on rapidly evolving technologies. Key Responsibilities Conduct research across areas such as: AI infrastructure and datacenters Global technology supply chains Satellite and geospatial data Public and expert polling / surveys Market and company performance trends Analyse complex and incomplete datasets to generate clear, defensible insights Build, clean, and maintain structured datasets to support ongoing research Produce written outputs including reports, briefings, and analysis articles Contribute to defining new research questions and identifying emerging trends Apply quantitative reasoning to estimate uncertain or hard-to-measure phenomena What We're Looking For Core Requirements Strong analytical and quantitative research skills Experience working with real-world datasets with uncertainty or incomplete information Proficiency in data analysis techniques (e.g. regression, statistical inference, bootstrapping) Ability to communicate complex insights clearly in writing Comfortable forming defensible conclusions from imperfect data Highly Relevant Experience (one or more) Geospatial / satellite imagery analysis Supply chain tracking or logistics intelligence Polling, survey design, or public opinion analysis AI infrastructure, semiconductors, or hardware ecosystems Forecasting and trend analysis in emerging technologies Economic or market research (e.g. sell-side, macro, sector analysis) Nice to Have Experience working with large-scale or novel datasets Familiarity with AI, machine learning trends, or technical ecosystems Coding skills (Python, R, or similar) Experience producing publishable research or insight reports Skills & Attributes Curiosity & learning speed - able to quickly get up to speed in new domains Structured thinking under uncertainty - comfortable making estimates with limited data Strong judgment - ability to evaluate credibility of sources and claims Clear communicator - able to translate complex analysis into accessible insights Working Environment & Benefits Fully remote, flexible working environment Competitive salary aligned to experience and location Generous paid time off and flexible leave policies Health, insurance, and retirement benefits (location dependent) Budget for learning, development, and productivity tools Regular team offsites and collaboration opportunities Additional Information Open to candidates across multiple time zones (with some overlap with Europe / US preferred) Strong English communication skills required We encourage applications from all backgrounds and experiences Services advertised by Gold Group are those of an Agency and/or an Employment Business. We will contact you within the next 14 days if you are selected for interview. For a copy of our privacy policy please visit our website.
May 12, 2026
Full time
Data & Trends Researcher (AI, Infrastructure & Supply Chains) Remote Full-time About the Role We're looking for Data & Trends Researchers (mid-senior level) to lead high-impact research into emerging technology ecosystems, with a particular focus on AI infrastructure, supply chains, and real-world signals of technological progress . This role is ideal for individuals who enjoy working at the intersection of data analysis, forecasting, and investigative research , particularly using unconventional or complex datasets (e.g. satellite imagery, supply chain data, or survey data). You will help define research direction, build novel datasets, and produce high-quality insights that inform decision-making on rapidly evolving technologies. Key Responsibilities Conduct research across areas such as: AI infrastructure and datacenters Global technology supply chains Satellite and geospatial data Public and expert polling / surveys Market and company performance trends Analyse complex and incomplete datasets to generate clear, defensible insights Build, clean, and maintain structured datasets to support ongoing research Produce written outputs including reports, briefings, and analysis articles Contribute to defining new research questions and identifying emerging trends Apply quantitative reasoning to estimate uncertain or hard-to-measure phenomena What We're Looking For Core Requirements Strong analytical and quantitative research skills Experience working with real-world datasets with uncertainty or incomplete information Proficiency in data analysis techniques (e.g. regression, statistical inference, bootstrapping) Ability to communicate complex insights clearly in writing Comfortable forming defensible conclusions from imperfect data Highly Relevant Experience (one or more) Geospatial / satellite imagery analysis Supply chain tracking or logistics intelligence Polling, survey design, or public opinion analysis AI infrastructure, semiconductors, or hardware ecosystems Forecasting and trend analysis in emerging technologies Economic or market research (e.g. sell-side, macro, sector analysis) Nice to Have Experience working with large-scale or novel datasets Familiarity with AI, machine learning trends, or technical ecosystems Coding skills (Python, R, or similar) Experience producing publishable research or insight reports Skills & Attributes Curiosity & learning speed - able to quickly get up to speed in new domains Structured thinking under uncertainty - comfortable making estimates with limited data Strong judgment - ability to evaluate credibility of sources and claims Clear communicator - able to translate complex analysis into accessible insights Working Environment & Benefits Fully remote, flexible working environment Competitive salary aligned to experience and location Generous paid time off and flexible leave policies Health, insurance, and retirement benefits (location dependent) Budget for learning, development, and productivity tools Regular team offsites and collaboration opportunities Additional Information Open to candidates across multiple time zones (with some overlap with Europe / US preferred) Strong English communication skills required We encourage applications from all backgrounds and experiences Services advertised by Gold Group are those of an Agency and/or an Employment Business. We will contact you within the next 14 days if you are selected for interview. For a copy of our privacy policy please visit our website.
Malted builds next-generation specialised intelligence for financial institutions. Our products combine advanced language technology with deep domain understanding to help firms make faster, more accurate and more accountable decisions. We focus entirely on financial services, working with leading banks, insurers and regulators to turn complex reasoning into clear, dependable intelligence. Our flagship product, Malted Pulse , provides AI that reasons transparently and can be inspected, governed and tuned to organisational policy. We're a highly technical team based in Edinburgh, combining deep machine learning experience with a rigorous approach to product design and engineering. We believe that making AI systems understandable isn't just an ethical necessity, it's a competitive advantage. About the team You'll be joining one of our product squads, responsible for building and evolving the systems that power Malted Pulse. The team designs and operates the systems that enable our customers to deploy reasoning agents at scale, with reliability, traceability and performance at the core. What you'll do As a Staff Engineer, you are a multiplier for any team. You own ill-defined, highly ambiguous projects, driving forward not only the implementation of work but also the design of the solution. You help set the technical direction of our platform, operating across multiple teams to define problem spaces rather than just solving them. You bridge gaps between engineering, product, commercial, and leadership to drive technical initiatives that matter to the business over the next 12-24 months. Responsibilities Lead the design of elegant solutions to complex problems and create roadmaps to tackle them incrementally. Drive technical discussions and architecture decisions that shape the platform's evolution across the wider business. Set technical vision and drive significant architectural decisions that hold together as the business grows. Work directly with company leadership on technical strategy and have real influence on company direction. Own problems that nobody else has been able to crack. Improve how engineering operates, from incident management processes to how teams are structured. Mentor Senior Engineers and help them grow into leadership, acting as a role model and coach for all engineers. Bridge gaps between engineering, product, commercial, and leadership. Who you are You're a seasoned engineer who enjoys solving complex problems with clarity and precision. You bring a level of experience and pattern recognition that allows you to set the standard for how engineering thinks and works at scale. Eligible to work in the UK. Extensive professional software engineering experience with a demonstrable impact on the quality and suitability of a team's work. Exceptional technical depth with the ability to engage credibly on any part of the stack. Proven ability to identify, coordinate and deliver highly impactful solutions to complex problems. Strong experience in Python (or other language) and deep familiarity with AWS or another major cloud platform. Experience shaping product direction and identifying high-level opportunities. Expertise in designing distributed systems and setting technical standards others follow. Strong understanding of the security and compliance landscape to advise the business on technical risk. Proven ability to anticipate technical challenges before they surface and address them before they become blockers. Working at Malted We're based in Edinburgh and work from the office three days a week (Monday, Wednesday and Friday). The rest of the week is work from home. We keep a high bar for technical quality but a low tolerance for ego. You'll join a team that values precision, humour and intellectual honesty. Pension and stock options Medical and life insurance Hybrid working and ad hoc flexibility The chance to work on one of a kind products at the forefront of the AI industry Professional development and growth opportunities A collaborative, inclusive workplace that promotes innovation and teamwork Free snacks and drinks Social events and company outings Relocation assistance for candidates moving to Edinburgh Malted AI is an equal opportunity employer, and we encourage candidates from all backgrounds to apply. If there's anything we can do to make your journey as a candidate easier, let us know when you apply. We aren't working with recruiters for these positions; we're excited to connect directly with candidates who share our enthusiasm for small language models.
May 12, 2026
Full time
Malted builds next-generation specialised intelligence for financial institutions. Our products combine advanced language technology with deep domain understanding to help firms make faster, more accurate and more accountable decisions. We focus entirely on financial services, working with leading banks, insurers and regulators to turn complex reasoning into clear, dependable intelligence. Our flagship product, Malted Pulse , provides AI that reasons transparently and can be inspected, governed and tuned to organisational policy. We're a highly technical team based in Edinburgh, combining deep machine learning experience with a rigorous approach to product design and engineering. We believe that making AI systems understandable isn't just an ethical necessity, it's a competitive advantage. About the team You'll be joining one of our product squads, responsible for building and evolving the systems that power Malted Pulse. The team designs and operates the systems that enable our customers to deploy reasoning agents at scale, with reliability, traceability and performance at the core. What you'll do As a Staff Engineer, you are a multiplier for any team. You own ill-defined, highly ambiguous projects, driving forward not only the implementation of work but also the design of the solution. You help set the technical direction of our platform, operating across multiple teams to define problem spaces rather than just solving them. You bridge gaps between engineering, product, commercial, and leadership to drive technical initiatives that matter to the business over the next 12-24 months. Responsibilities Lead the design of elegant solutions to complex problems and create roadmaps to tackle them incrementally. Drive technical discussions and architecture decisions that shape the platform's evolution across the wider business. Set technical vision and drive significant architectural decisions that hold together as the business grows. Work directly with company leadership on technical strategy and have real influence on company direction. Own problems that nobody else has been able to crack. Improve how engineering operates, from incident management processes to how teams are structured. Mentor Senior Engineers and help them grow into leadership, acting as a role model and coach for all engineers. Bridge gaps between engineering, product, commercial, and leadership. Who you are You're a seasoned engineer who enjoys solving complex problems with clarity and precision. You bring a level of experience and pattern recognition that allows you to set the standard for how engineering thinks and works at scale. Eligible to work in the UK. Extensive professional software engineering experience with a demonstrable impact on the quality and suitability of a team's work. Exceptional technical depth with the ability to engage credibly on any part of the stack. Proven ability to identify, coordinate and deliver highly impactful solutions to complex problems. Strong experience in Python (or other language) and deep familiarity with AWS or another major cloud platform. Experience shaping product direction and identifying high-level opportunities. Expertise in designing distributed systems and setting technical standards others follow. Strong understanding of the security and compliance landscape to advise the business on technical risk. Proven ability to anticipate technical challenges before they surface and address them before they become blockers. Working at Malted We're based in Edinburgh and work from the office three days a week (Monday, Wednesday and Friday). The rest of the week is work from home. We keep a high bar for technical quality but a low tolerance for ego. You'll join a team that values precision, humour and intellectual honesty. Pension and stock options Medical and life insurance Hybrid working and ad hoc flexibility The chance to work on one of a kind products at the forefront of the AI industry Professional development and growth opportunities A collaborative, inclusive workplace that promotes innovation and teamwork Free snacks and drinks Social events and company outings Relocation assistance for candidates moving to Edinburgh Malted AI is an equal opportunity employer, and we encourage candidates from all backgrounds to apply. If there's anything we can do to make your journey as a candidate easier, let us know when you apply. We aren't working with recruiters for these positions; we're excited to connect directly with candidates who share our enthusiasm for small language models.
The role We are looking for a motivated and skilled Trait Design Scientist, ideally with a background in photosynthesis research, to drive our R&D initiatives. At Wild, we are building proprietary and "new-to-science" datasets that we use to discover new yield traits. You will play a key role in analysing these datasets and driving the future direction of data collection to accelerate this discovery work. Location We're headquartered in Milton Park, a business and technology park in Oxfordshire. This is an on-site role, though we offer flexibility and hybrid working when possible. Job requirements A PhD in a relevant discipline, e.g. Plant Science, Photosynthesis, Plant Physiology, Bioinformatics. Proven experience delivering complex scientific research projects and driving their strategic direction. Deep theoretical and practical understanding of photosynthesis; you are comfortable interpreting complex physiological data to generate biological hypotheses. Experience using gas exchange and chlorophyll fluorescence systems (e.g. LICORs, Walz), and/or other photosynthetic mechanistic studies used to dissect photosynthetic performance. A strong understanding of the genetic mechanisms that govern plant phenotypes and the factors that influence gene expression. Familiarity with Linux, bioinformatic tools, and the application of machine learning to genomic/phenotype data is highly desirable. A growth-oriented mindset focused on continuous improvement - evaluating new tools and sparking innovation within the team. Ability to distil complex data into clear hypothesis and lead collaborative decision-making sessions. Job responsibilities Lead the design and management of experiments to collect bespoke physiology and genetic datasets across diverse species. Establish robust phenotyping methods and train junior team members to ensure high-quality data collection at scale. Utilise machine learning and bioinformatic tools to mine proprietary datasets, identifying causal genetics behind key photosynthesis traits. Critically evaluate machine learning / AI outputs by integrating photosynthesis expertise with literature reviews and data from our proprietary evolutionary and cell-based platform. Lead trait design sessions, collaborating with other photosynthesis experts, construct engineers, and bioinformaticians to inform phase promotion decisions. Iteratively improve data collection protocols based on the latest photosynthesis research.
May 12, 2026
Full time
The role We are looking for a motivated and skilled Trait Design Scientist, ideally with a background in photosynthesis research, to drive our R&D initiatives. At Wild, we are building proprietary and "new-to-science" datasets that we use to discover new yield traits. You will play a key role in analysing these datasets and driving the future direction of data collection to accelerate this discovery work. Location We're headquartered in Milton Park, a business and technology park in Oxfordshire. This is an on-site role, though we offer flexibility and hybrid working when possible. Job requirements A PhD in a relevant discipline, e.g. Plant Science, Photosynthesis, Plant Physiology, Bioinformatics. Proven experience delivering complex scientific research projects and driving their strategic direction. Deep theoretical and practical understanding of photosynthesis; you are comfortable interpreting complex physiological data to generate biological hypotheses. Experience using gas exchange and chlorophyll fluorescence systems (e.g. LICORs, Walz), and/or other photosynthetic mechanistic studies used to dissect photosynthetic performance. A strong understanding of the genetic mechanisms that govern plant phenotypes and the factors that influence gene expression. Familiarity with Linux, bioinformatic tools, and the application of machine learning to genomic/phenotype data is highly desirable. A growth-oriented mindset focused on continuous improvement - evaluating new tools and sparking innovation within the team. Ability to distil complex data into clear hypothesis and lead collaborative decision-making sessions. Job responsibilities Lead the design and management of experiments to collect bespoke physiology and genetic datasets across diverse species. Establish robust phenotyping methods and train junior team members to ensure high-quality data collection at scale. Utilise machine learning and bioinformatic tools to mine proprietary datasets, identifying causal genetics behind key photosynthesis traits. Critically evaluate machine learning / AI outputs by integrating photosynthesis expertise with literature reviews and data from our proprietary evolutionary and cell-based platform. Lead trait design sessions, collaborating with other photosynthesis experts, construct engineers, and bioinformaticians to inform phase promotion decisions. Iteratively improve data collection protocols based on the latest photosynthesis research.
The Mission Club JURA is Zaizi's dedicated club for Defence. We are looking for a heavyweight Head of Engineering to lead our technical mission. You will lead the technical mission, ensuring our solutions are architected with the holistic rigour of systems engineering while providing high level technical oversight for modern, cloud native software delivery. Reporting to the Club Exec, you will be the technical linchpin of Club JURA, translating high level mission objectives into rigorous engineering roadmaps, while providing the data backed assurance and performance reporting necessary to de risk our most complex sovereign programmes. Key Responsibilities System Design Authority (SDA): Act as the ultimate technical authority for Club JURA. You will own the architectural integrity of the "System of Systems," providing overwatching of design, integration, and test (I&T) technical oversight across both hardware software interfaces and pure software platforms. Standards & Compliance: Own the application of established standards from ISO 15288 to Def Stan / IEC 61508. You will provide the engineering oversight and process rigour required to enhance quality in high security and safety critical domains. Software Oversight: While focussed on the system, you will provide technical oversight for software engineering teams. You'll ensure that modern software practices (Agile, DevSecOps, CI/CD) are harmonised with the overall system V lifecycle and safety requirements. Performance & Board Reporting: Establish and track KPIs for engineering performance. You will provide the Club Exec and Zaizi Board with transparent, data driven reporting on technical risk, system maturity, and delivery health. Team Shaping & Governance: Recruit, mentor, and lead elite engineering teams. You will mentor engineers in "systems thinking" to help them influence and shape complex customer problems. You will instill the V Model lifecycle across the club while maintaining the agility of DevSecOps and cloud native delivery. Bid & Solution Strategy: Lead the technical strategy for major defence tenders. You will translate complex MoD requirements into robust, high confidence estimates and architectural blueprints that navigate the nuances of commercial frameworks (e.g., DSP). You will use your experience across multiple defence domains to ensure our bids are technically sound, commercially viable, and compliant with relevant standards. Intelligent Problem Solving: Where applicable, identify and architect AI driven solutions for complex defence challenges. You will ensure that AI and Machine Learning are integrated into systems engineering to solve specific mission problems-such as predictive maintenance or autonomous ISTAR-ensuring they are fit for purpose and operationally sound. Internal Collaboration: Work with our in house AI team and provide practical, frontline focused input to help shape internal IRAD, ensuring our research has real world utility in contested environments. Requirements Security: Active UK Security Clearance (SC and above) is mandatory. Systems Mastery: Deep expertise in the V Model and systems of systems thinking. You are well versed in the application of ISO 15288, IEC 61508, and are familiar with AI risk frameworks like ISO/IEC 23894 where applicable. Technical Breadth: A strong systems engineering core with significant hands on experience in IT, Data, and Cloud (AWS/Azure). You understand the "Silicon" as well as the "System." Commercial Intelligence: Significant experience across multiple defence domains with a thorough understanding of relevant commercial frameworks, DEFCONs, and MoD technical standards. C Suite Gravitas: The ability to navigate between technical specialists and senior stakeholders, translating complex technical and safety risks into clear strategic and commercial choices. We actively welcome applications from people of colour, the LGBTQ+ community, individuals with disabilities, neurodivergent individuals, parents, carers, and those from lower socio economic backgrounds. If you need any accommodations to support your specific situation, please feel free to let us know. For candidates who are neurodiverse or have disabilities, we are happy to make any adjustments needed throughout the interview process-just ask! Salaries - £90,000 - £115,000 SC Clearance Zaizi works with UK Central Government departments on a range of projects. To be able to work on our customer projects, employees must be Security Cleared to a standard acceptable to our Government customers. Due to this restriction we can currently only recruit candidates who have the right to work in the UK without sponsorship and who have lived in the UK for the last 5+ years continuously. Benefits Compensation Competitive Pay: Salaries reviewed annually to ensure they reflect your performance and market value. Loyalty Pension: We invest in your future. Starting at a 5% employer contribution, we increase this by 0.5% every year after your third anniversary, up to a maximum of 8%. Protection: Comprehensive Group Life Assurance for peace of mind. Purpose & Culture Real Impact: Work on mission critical projects that secure and improve the UK's digital infrastructure. Autonomy: A culture that empowers you to make decisions, prototype rapidly, and iterate towards success. Service & Community: We support those who serve. 10 paid days for Reservist Military Service. Work / Life Balance Time Off: 25 days annual leave + Bank Holidays, with the flexibility to Buy/Sell additional days to suit your lifestyle. Giving back: 2 paid volunteering days per year. Development & Growth Master Your Craft: Fully funded professional certifications (AWS, GCP, Agile, etc.) supported by 5 days paid study leave. Expand Your Horizons: An additional £500 annual "Personal Choice" fund to learn whatever inspires you-work related or not. Support: Access to 1 2 1 professional coaching and team training to accelerate your career. Health & Balance Premium Health: Vitality Private Medical Insurance (includes Apple Watch, gym discounts, and rewards). Flexibility: Genuine hybrid working with a WFH equipment allowance to perfect your home setup. Wellbeing: Cycle to Work scheme and a commitment to sustainable, healthy working practices.
May 12, 2026
Full time
The Mission Club JURA is Zaizi's dedicated club for Defence. We are looking for a heavyweight Head of Engineering to lead our technical mission. You will lead the technical mission, ensuring our solutions are architected with the holistic rigour of systems engineering while providing high level technical oversight for modern, cloud native software delivery. Reporting to the Club Exec, you will be the technical linchpin of Club JURA, translating high level mission objectives into rigorous engineering roadmaps, while providing the data backed assurance and performance reporting necessary to de risk our most complex sovereign programmes. Key Responsibilities System Design Authority (SDA): Act as the ultimate technical authority for Club JURA. You will own the architectural integrity of the "System of Systems," providing overwatching of design, integration, and test (I&T) technical oversight across both hardware software interfaces and pure software platforms. Standards & Compliance: Own the application of established standards from ISO 15288 to Def Stan / IEC 61508. You will provide the engineering oversight and process rigour required to enhance quality in high security and safety critical domains. Software Oversight: While focussed on the system, you will provide technical oversight for software engineering teams. You'll ensure that modern software practices (Agile, DevSecOps, CI/CD) are harmonised with the overall system V lifecycle and safety requirements. Performance & Board Reporting: Establish and track KPIs for engineering performance. You will provide the Club Exec and Zaizi Board with transparent, data driven reporting on technical risk, system maturity, and delivery health. Team Shaping & Governance: Recruit, mentor, and lead elite engineering teams. You will mentor engineers in "systems thinking" to help them influence and shape complex customer problems. You will instill the V Model lifecycle across the club while maintaining the agility of DevSecOps and cloud native delivery. Bid & Solution Strategy: Lead the technical strategy for major defence tenders. You will translate complex MoD requirements into robust, high confidence estimates and architectural blueprints that navigate the nuances of commercial frameworks (e.g., DSP). You will use your experience across multiple defence domains to ensure our bids are technically sound, commercially viable, and compliant with relevant standards. Intelligent Problem Solving: Where applicable, identify and architect AI driven solutions for complex defence challenges. You will ensure that AI and Machine Learning are integrated into systems engineering to solve specific mission problems-such as predictive maintenance or autonomous ISTAR-ensuring they are fit for purpose and operationally sound. Internal Collaboration: Work with our in house AI team and provide practical, frontline focused input to help shape internal IRAD, ensuring our research has real world utility in contested environments. Requirements Security: Active UK Security Clearance (SC and above) is mandatory. Systems Mastery: Deep expertise in the V Model and systems of systems thinking. You are well versed in the application of ISO 15288, IEC 61508, and are familiar with AI risk frameworks like ISO/IEC 23894 where applicable. Technical Breadth: A strong systems engineering core with significant hands on experience in IT, Data, and Cloud (AWS/Azure). You understand the "Silicon" as well as the "System." Commercial Intelligence: Significant experience across multiple defence domains with a thorough understanding of relevant commercial frameworks, DEFCONs, and MoD technical standards. C Suite Gravitas: The ability to navigate between technical specialists and senior stakeholders, translating complex technical and safety risks into clear strategic and commercial choices. We actively welcome applications from people of colour, the LGBTQ+ community, individuals with disabilities, neurodivergent individuals, parents, carers, and those from lower socio economic backgrounds. If you need any accommodations to support your specific situation, please feel free to let us know. For candidates who are neurodiverse or have disabilities, we are happy to make any adjustments needed throughout the interview process-just ask! Salaries - £90,000 - £115,000 SC Clearance Zaizi works with UK Central Government departments on a range of projects. To be able to work on our customer projects, employees must be Security Cleared to a standard acceptable to our Government customers. Due to this restriction we can currently only recruit candidates who have the right to work in the UK without sponsorship and who have lived in the UK for the last 5+ years continuously. Benefits Compensation Competitive Pay: Salaries reviewed annually to ensure they reflect your performance and market value. Loyalty Pension: We invest in your future. Starting at a 5% employer contribution, we increase this by 0.5% every year after your third anniversary, up to a maximum of 8%. Protection: Comprehensive Group Life Assurance for peace of mind. Purpose & Culture Real Impact: Work on mission critical projects that secure and improve the UK's digital infrastructure. Autonomy: A culture that empowers you to make decisions, prototype rapidly, and iterate towards success. Service & Community: We support those who serve. 10 paid days for Reservist Military Service. Work / Life Balance Time Off: 25 days annual leave + Bank Holidays, with the flexibility to Buy/Sell additional days to suit your lifestyle. Giving back: 2 paid volunteering days per year. Development & Growth Master Your Craft: Fully funded professional certifications (AWS, GCP, Agile, etc.) supported by 5 days paid study leave. Expand Your Horizons: An additional £500 annual "Personal Choice" fund to learn whatever inspires you-work related or not. Support: Access to 1 2 1 professional coaching and team training to accelerate your career. Health & Balance Premium Health: Vitality Private Medical Insurance (includes Apple Watch, gym discounts, and rewards). Flexibility: Genuine hybrid working with a WFH equipment allowance to perfect your home setup. Wellbeing: Cycle to Work scheme and a commitment to sustainable, healthy working practices.
A leading fashion retailer in Reading is seeking a Data Science & Measurement Lead to manage a team of data scientists focusing on advanced analytics and machine learning. This hybrid role requires expertise in Databricks, Apache Spark, and SQL. You'll be responsible for delivering impactful data solutions, mentoring the team, and collaborating with engineering to ensure data quality. Attractive benefits include healthcare, a generous leave policy, and a bonus potential.
May 12, 2026
Full time
A leading fashion retailer in Reading is seeking a Data Science & Measurement Lead to manage a team of data scientists focusing on advanced analytics and machine learning. This hybrid role requires expertise in Databricks, Apache Spark, and SQL. You'll be responsible for delivering impactful data solutions, mentoring the team, and collaborating with engineering to ensure data quality. Attractive benefits include healthcare, a generous leave policy, and a bonus potential.
Food, Microbiome & Health, Quadram Institute Bioscience Applications are invited for a Research Scientist (Metaproteomics) to join the Laboratory of Dr Kai Cheng in the Food, Microbiome and Health programme at Quadram Institute Bioscience (QIB), based in Norwich, UK. Since joining the Quadram Institute in 2025 as a Group Leader, Dr Cheng has been leading the AI & Metaproteomics for Human Gut Health group. The group's mission is to advance microbiome research by developing computational methods, large-scale data resources, and AI assisted frameworks for understanding microbial function. The research aims to enable predictive and data driven insights into microbiome systems and their role in human health. We are seeking a highly motivated Research Scientist with a strong interest in metaproteomics and microbiome research. The position focuses on the development and application of computational and analytical methods for metaproteomics, including peptide and protein identification, taxonomic and functional profiling, and integration with other omics data. The successful candidate will work within a multidisciplinary team, applying computational approaches to large scale microbiome datasets and contributing to research aimed at understanding microbial community function in health and disease. This is primarily a computational (dry lab) role, focused on analysing and interpreting metaproteomics data and developing analytical workflows. It involves close collaboration with experimental researchers and requires a solid understanding of proteomics workflows, but does not involve routine laboratory work. The role will also involve the use and development of AI assisted approaches for scientific research, including data driven modelling and the integration of modern AI tools into computational workflows. You will have access to state of the art infrastructure and collaborate with leading researchers in microbiome science and proteomics. This is an excellent opportunity to contribute to cutting edge research while developing expertise in a rapidly growing field. The ideal candidate PhD in Proteomics, Bioinformatics, Computational Biology, or a related discipline. Strong interest in proteomics/metaproteomics and microbiome research. Experience in analysing proteomics or metaproteomics data. Ability to interpret computational results in a meaningful biological context. Proficiency in programming/scripting (e.g. Python, Linux). Strong domain knowledge and scientific understanding in metaproteomics. Motivation and readiness to develop expertise in metaproteomics if direct experience is lacking. Experience in multi omics integration, machine learning, or microbiome data analysis is advantageous. Additional information Salary on appointment will be within the range £37,500 to £45,350 per annum depending on qualifications and experience. This is a full time post for a contract of 24 months. The closing date for applications will be 6 May 2026. Equality, Diversity & Inclusion We are committed to equity, diversity and inclusion, and welcome applications from all sectors of society. The Institute values of Respect, Innovation, Collaboration and Excellence are at the heart of all we do, and we expect all employees to share and display these values. We have a range of family, faith and diversity friendly working arrangements to help all staff achieve excellence in their area of work. As a Disability Confident employer, we guarantee to offer an interview to all disabled applicants who meet the essential criteria for this vacancy. The Quadram Institute Bioscience is a registered charity (No. ) and is an Equal Opportunities Employer.
May 11, 2026
Full time
Food, Microbiome & Health, Quadram Institute Bioscience Applications are invited for a Research Scientist (Metaproteomics) to join the Laboratory of Dr Kai Cheng in the Food, Microbiome and Health programme at Quadram Institute Bioscience (QIB), based in Norwich, UK. Since joining the Quadram Institute in 2025 as a Group Leader, Dr Cheng has been leading the AI & Metaproteomics for Human Gut Health group. The group's mission is to advance microbiome research by developing computational methods, large-scale data resources, and AI assisted frameworks for understanding microbial function. The research aims to enable predictive and data driven insights into microbiome systems and their role in human health. We are seeking a highly motivated Research Scientist with a strong interest in metaproteomics and microbiome research. The position focuses on the development and application of computational and analytical methods for metaproteomics, including peptide and protein identification, taxonomic and functional profiling, and integration with other omics data. The successful candidate will work within a multidisciplinary team, applying computational approaches to large scale microbiome datasets and contributing to research aimed at understanding microbial community function in health and disease. This is primarily a computational (dry lab) role, focused on analysing and interpreting metaproteomics data and developing analytical workflows. It involves close collaboration with experimental researchers and requires a solid understanding of proteomics workflows, but does not involve routine laboratory work. The role will also involve the use and development of AI assisted approaches for scientific research, including data driven modelling and the integration of modern AI tools into computational workflows. You will have access to state of the art infrastructure and collaborate with leading researchers in microbiome science and proteomics. This is an excellent opportunity to contribute to cutting edge research while developing expertise in a rapidly growing field. The ideal candidate PhD in Proteomics, Bioinformatics, Computational Biology, or a related discipline. Strong interest in proteomics/metaproteomics and microbiome research. Experience in analysing proteomics or metaproteomics data. Ability to interpret computational results in a meaningful biological context. Proficiency in programming/scripting (e.g. Python, Linux). Strong domain knowledge and scientific understanding in metaproteomics. Motivation and readiness to develop expertise in metaproteomics if direct experience is lacking. Experience in multi omics integration, machine learning, or microbiome data analysis is advantageous. Additional information Salary on appointment will be within the range £37,500 to £45,350 per annum depending on qualifications and experience. This is a full time post for a contract of 24 months. The closing date for applications will be 6 May 2026. Equality, Diversity & Inclusion We are committed to equity, diversity and inclusion, and welcome applications from all sectors of society. The Institute values of Respect, Innovation, Collaboration and Excellence are at the heart of all we do, and we expect all employees to share and display these values. We have a range of family, faith and diversity friendly working arrangements to help all staff achieve excellence in their area of work. As a Disability Confident employer, we guarantee to offer an interview to all disabled applicants who meet the essential criteria for this vacancy. The Quadram Institute Bioscience is a registered charity (No. ) and is an Equal Opportunities Employer.
Cash Collections Driver (CVIT Officer) at Bristol Waste Company SALARY:£13.95 per hour HOURS:37 hours per week, Monday - Friday (with occasional Saturday working as overtime) LOCATION:Brunel Lock, Bristol Cash Collections Driver (CVIT Officer) About Bristol Waste Company: What we do is important - we're here to keep Bristol, and beyond, clean, and safe. We do this for our city's residents, workers, visitors, and businesses. Our work helps deliver Bristol's sustainability targets in partnership with the council. Bristol Waste's commercial operation, where we serve businesses and organisations across the region, is also growing. Our ambition is to provide good quality, value for money services, and we continue to deliver a social value impact worth more than £30 million every year. We want people who share our values and want to work with us to drive our business forward. Purpose of the role: To carry out collections on Pay & Display Machines Cash Boxes. To collect and deliver monies to all other external customers in accordance with their service level agreements Key Responsibilities: Meet client service requirements by collecting, delivering, cash on behalf of customer base Ensure the standard operational procedures are adhered to when undertaking duties and recommend any changes to improve security within the section Comply with all SIA, Internal Safe Working Procedures and Assignment Instructions and health & safety policies and procedures. Ensure the safe keeping of all operational equipment allocated for daily duties. Ensure the road worthiness of all vehicles assigned both before and after each shift, all defects should be reported to CVIT co-ordinator Report all machinery faults identified during the cash collecting/counting process to the CVIT Team Leader. Work closely with CVIT colleagues/team to ensure all KPI s are achieved. Essential Requirements for the Role: (Security experience NOT essential, delivery or collection driving experience welcome) Ability to gain a DBS certificate A Full UK Driving Licence Able to demonstrate knowledge and understanding of Health and Safety in the workplace. Good numeracy and literacy skills to assist with the recording and imparting of information clearly and concisely for the purpose of completing log sheets and incident reports with meticulous care for detail and accuracy Physically capable of lifting items weighing up to 15 kg Ability to communicate in a confident and assured manner with Council staff, work colleagues and members of the general public including the ability to converse with citizens in spoken English, or through a BSL interpreter Able to demonstrate knowledge and/or experience of equalities and diversity issues. Have a working knowledge of Microsoft Office, including: Outlook, Word, Excel, Internet Explorer, and have a willingness to learn new applications and technology as appropriate. Multi Drop or similar driving experience Full Job Description can be provided upon request. To be a successful member of our security team, you will need to pass full Vero screening. This involves the requirement of various documents and checks. Please see below an indication of what is needed: Documents: SIA Licence Proof of Address Passport and Driving Licence (If Applicable) Recent bank statement You will require internet access and an email address to access the portal. Once logged in: You will need to provide 5-10 years address history and employment history including contact details and dates of employment. You will need to declare any criminal record history you have and any previous names you've held. You will need to complete a fitness declaration and questionnaire A credit check is completed so you will need to declare any adverse credit and be aware that if you do have an issue, it will be flagged. A global sanctions check is also completed Annual leave package of 25 days plus 8 bank holidays. Employer contribution of 5% into the company pension scheme. Support for Mental Health, including a BUPA Employee Assistance Programme that provides support covering Mental Health, Financial and Family related topics. We also have Mental Health First Aiders across the business. Support for your Physical Health with our BUPA Health Cash Plan (we cover the cost of coverage for you), Cycle to Work scheme and an onsite Physiotherapist. All are free for our colleagues. Because we value our colleagues, we want to recruit more employees just like them, which is why we have our employee referral scheme. Dedicated learning and development team. We take pride in developing our colleagues and some examples of this include our In-House Driver Development Programme and internal promotions. Many of our Senior Leadership Team have developed from Operational roles, such as one of our Contract Managers who started as a Street Cleanser. Employee recognition 'Stand Out Award' and long service awards. To celebrate our colleagues wherever they are on their journey with us, we recognise and celebrate talent. We recognise that everyone is different and strive to create an environment that supports all colleagues through flexible working. We have introduced a hybrid working model where possible and actively encourage part-time working, job sharing and flexibility on hours. If this interests, you please do get in touch, and we can start a conversation. All colleagues receive free access to our Reward Gateway discount scheme, helping you make your money go further with savings at over 900 retailers. It's one of the ways we support smart spending and everyday wellbeing. Everyone belongs: At Bristol Waste everyone belongs - we are proud of being a truly inclusive organisation. We give fair and equal consideration to all applications. We encourage and welcome applications from people of all ages, genders ethnicities, nationalities, disabilities, religions or beliefs and of neuro divergence. Important note on applying: Please apply as soon as possible and before 23:59 on the closing date. Sometimes we close vacancies early if we receive a high number of quality applications. Due to the high volume of interest, we won't be able to receive late applications and we are currently unable to respond to all who apply. If you haven't heard from us within three weeks of the closing date, it unfortunately means you won't be invited to interview on this occasion. Contact us: Please contact our People Services team to discuss this role, your application, or any reasonable adjustments and support in applying for this position: Thank you for your interest in joining Bristol Waste Company.
May 11, 2026
Full time
Cash Collections Driver (CVIT Officer) at Bristol Waste Company SALARY:£13.95 per hour HOURS:37 hours per week, Monday - Friday (with occasional Saturday working as overtime) LOCATION:Brunel Lock, Bristol Cash Collections Driver (CVIT Officer) About Bristol Waste Company: What we do is important - we're here to keep Bristol, and beyond, clean, and safe. We do this for our city's residents, workers, visitors, and businesses. Our work helps deliver Bristol's sustainability targets in partnership with the council. Bristol Waste's commercial operation, where we serve businesses and organisations across the region, is also growing. Our ambition is to provide good quality, value for money services, and we continue to deliver a social value impact worth more than £30 million every year. We want people who share our values and want to work with us to drive our business forward. Purpose of the role: To carry out collections on Pay & Display Machines Cash Boxes. To collect and deliver monies to all other external customers in accordance with their service level agreements Key Responsibilities: Meet client service requirements by collecting, delivering, cash on behalf of customer base Ensure the standard operational procedures are adhered to when undertaking duties and recommend any changes to improve security within the section Comply with all SIA, Internal Safe Working Procedures and Assignment Instructions and health & safety policies and procedures. Ensure the safe keeping of all operational equipment allocated for daily duties. Ensure the road worthiness of all vehicles assigned both before and after each shift, all defects should be reported to CVIT co-ordinator Report all machinery faults identified during the cash collecting/counting process to the CVIT Team Leader. Work closely with CVIT colleagues/team to ensure all KPI s are achieved. Essential Requirements for the Role: (Security experience NOT essential, delivery or collection driving experience welcome) Ability to gain a DBS certificate A Full UK Driving Licence Able to demonstrate knowledge and understanding of Health and Safety in the workplace. Good numeracy and literacy skills to assist with the recording and imparting of information clearly and concisely for the purpose of completing log sheets and incident reports with meticulous care for detail and accuracy Physically capable of lifting items weighing up to 15 kg Ability to communicate in a confident and assured manner with Council staff, work colleagues and members of the general public including the ability to converse with citizens in spoken English, or through a BSL interpreter Able to demonstrate knowledge and/or experience of equalities and diversity issues. Have a working knowledge of Microsoft Office, including: Outlook, Word, Excel, Internet Explorer, and have a willingness to learn new applications and technology as appropriate. Multi Drop or similar driving experience Full Job Description can be provided upon request. To be a successful member of our security team, you will need to pass full Vero screening. This involves the requirement of various documents and checks. Please see below an indication of what is needed: Documents: SIA Licence Proof of Address Passport and Driving Licence (If Applicable) Recent bank statement You will require internet access and an email address to access the portal. Once logged in: You will need to provide 5-10 years address history and employment history including contact details and dates of employment. You will need to declare any criminal record history you have and any previous names you've held. You will need to complete a fitness declaration and questionnaire A credit check is completed so you will need to declare any adverse credit and be aware that if you do have an issue, it will be flagged. A global sanctions check is also completed Annual leave package of 25 days plus 8 bank holidays. Employer contribution of 5% into the company pension scheme. Support for Mental Health, including a BUPA Employee Assistance Programme that provides support covering Mental Health, Financial and Family related topics. We also have Mental Health First Aiders across the business. Support for your Physical Health with our BUPA Health Cash Plan (we cover the cost of coverage for you), Cycle to Work scheme and an onsite Physiotherapist. All are free for our colleagues. Because we value our colleagues, we want to recruit more employees just like them, which is why we have our employee referral scheme. Dedicated learning and development team. We take pride in developing our colleagues and some examples of this include our In-House Driver Development Programme and internal promotions. Many of our Senior Leadership Team have developed from Operational roles, such as one of our Contract Managers who started as a Street Cleanser. Employee recognition 'Stand Out Award' and long service awards. To celebrate our colleagues wherever they are on their journey with us, we recognise and celebrate talent. We recognise that everyone is different and strive to create an environment that supports all colleagues through flexible working. We have introduced a hybrid working model where possible and actively encourage part-time working, job sharing and flexibility on hours. If this interests, you please do get in touch, and we can start a conversation. All colleagues receive free access to our Reward Gateway discount scheme, helping you make your money go further with savings at over 900 retailers. It's one of the ways we support smart spending and everyday wellbeing. Everyone belongs: At Bristol Waste everyone belongs - we are proud of being a truly inclusive organisation. We give fair and equal consideration to all applications. We encourage and welcome applications from people of all ages, genders ethnicities, nationalities, disabilities, religions or beliefs and of neuro divergence. Important note on applying: Please apply as soon as possible and before 23:59 on the closing date. Sometimes we close vacancies early if we receive a high number of quality applications. Due to the high volume of interest, we won't be able to receive late applications and we are currently unable to respond to all who apply. If you haven't heard from us within three weeks of the closing date, it unfortunately means you won't be invited to interview on this occasion. Contact us: Please contact our People Services team to discuss this role, your application, or any reasonable adjustments and support in applying for this position: Thank you for your interest in joining Bristol Waste Company.
About The Role What you'll be doing: You'll be responsible for the day to day management of the store. You will be working up to 45 hours per week - all extra time worked is paid or can be taken as time off in lieu You'll be leading from the front, managing a small team of between 4 - 6 members of staff You'll be committed to motivating your team to deliver a great customer experience as well as achieving challenging sales targets You'll be committed to offering honest advice and building a rapport with customers, exceeding their expectations and reassuring them when they're bewildered by choice What you'll need - skills and experience: Proven experience of leading a small team Managerial experience within a retail or field sales position, ideally in a hard goods environment Proven experience in achieving sales targets and KPIs Proven experience in motivating your team You'll have practical experience / knowledge of some or all of our product range You'll be a confident, enthusiastic and driven team player You'll be committed to learning and developing yourself and your team Your personal skills will include accuracy and numeracy as well as basic computer literacy You'll possess the desire to succeed both individually and as leader of the team Benefits What you'll get in return for your commitment: Staff Discounts Guaranteed monthly commission payment amount for your first 6 months Healthcare Cash plans A company pension scheme Life Cover Access to the Retail Trust, our well-being platform - offering a 24-hour helpline for a variety of support services Discounts on 100 s of high street & online brands including restaurants, holidays, and shopping Role specific training and development Proactive promotion of internal candidates Paid Breaks Free Tea & Coffee About The Company Where you'll be working: Machine Mart are the UK's leading specialist retailer of workshop power tools and equipment to the general public and trade customers. With stores nationwide and over 40 years in business we are at the forefront of our sector and are supporting our recent success with continued growth. For further information on our company and our product range, visit our website:
May 11, 2026
Full time
About The Role What you'll be doing: You'll be responsible for the day to day management of the store. You will be working up to 45 hours per week - all extra time worked is paid or can be taken as time off in lieu You'll be leading from the front, managing a small team of between 4 - 6 members of staff You'll be committed to motivating your team to deliver a great customer experience as well as achieving challenging sales targets You'll be committed to offering honest advice and building a rapport with customers, exceeding their expectations and reassuring them when they're bewildered by choice What you'll need - skills and experience: Proven experience of leading a small team Managerial experience within a retail or field sales position, ideally in a hard goods environment Proven experience in achieving sales targets and KPIs Proven experience in motivating your team You'll have practical experience / knowledge of some or all of our product range You'll be a confident, enthusiastic and driven team player You'll be committed to learning and developing yourself and your team Your personal skills will include accuracy and numeracy as well as basic computer literacy You'll possess the desire to succeed both individually and as leader of the team Benefits What you'll get in return for your commitment: Staff Discounts Guaranteed monthly commission payment amount for your first 6 months Healthcare Cash plans A company pension scheme Life Cover Access to the Retail Trust, our well-being platform - offering a 24-hour helpline for a variety of support services Discounts on 100 s of high street & online brands including restaurants, holidays, and shopping Role specific training and development Proactive promotion of internal candidates Paid Breaks Free Tea & Coffee About The Company Where you'll be working: Machine Mart are the UK's leading specialist retailer of workshop power tools and equipment to the general public and trade customers. With stores nationwide and over 40 years in business we are at the forefront of our sector and are supporting our recent success with continued growth. For further information on our company and our product range, visit our website:
? ? Contract type: Full Time (37.5 hours) - Permanent Location: The University of Huddersfield - London Campus Salary: up to £54,000 per annumStudy Group attracts a diverse, international student body seeking high-quality teaching, combined with an industry-focussed learning experience and strong employability opportunities within London's dynamic, professional environment.The University of Huddersfield London Campus is an exciting new academic institution in the Stratford area of London. Developed and operated in partnership with Study Group, the campus delivers a range of undergraduate and postgraduate programmes on behalf of the University of Huddersfield (UoH). We Connect students to feel welcome, included and confident We Educate through high-quality, tailored teaching We Care about developing confident and resilient learners We Prepare learners to succeed Study Group is the smartest choice for students who want to thrive at university.In addition to teaching responsibilities, academic staff will actively engage in research, contributing both to scholarly advancement and to the development of a vibrant academic community at the London Campus. ABOUT THE ROLE Design teaching material and deliver across a range of modules or within a subject area using appropriate teaching learning support and assessment methods to ensure student's progress Design, mark and give feedback on appropriate formative and summative assessments, providing opportunities for students to improve Within the subject team plan design and develop learning outcomes and materials Contribute to the revision and improvements in the curriculum content and delivery Supervise student projects, field trips and placements Maintain up to date and accurate records of student attendance and progress and complete all associated academic administration Act as a personal tutor, offering support or signposting students as required Develop an active research record securing appropriate publications or other recognised forms of output and engage in subject professional and/pr pedagogy research and scholarship With support coordinate and lead small modules in own subject area to ensure student expectations are met Participate in and develop external networks Contribute to the internal and external quality assurance process Contribute to recruitment activities eg, participating in webinars, taster lectures Participate in team meetings departmental and school meetings and committees Ensure the implementation of the university's and Study Group's policies and regulations within the remit of the postholder's duties Undertake other duties as directed by or in agreement with the Head of School or other Senior Leadership Team members. ABOUT YOU PhD degree (or equivalent) or doctoral degree in Computer Science or relevant discipline Strong research and publication background, with evidence of contributing to academic 2 journals and above, conferences, or professional publications. Fellowship of Advance HE or to be achieved within 12 months of appointment. Experience teaching undergraduate modules in at least one of the following (Network Fundamentals, Organisation & Architecture, Mathematics, Programming, Data Structures, AI, Operating Systems, Databases & Web Integration) Experience teaching postgraduate modules in at least one of the following (Autonomic Intelligent Systems, Data Mining, Machine Learning, Semantic Web, Software Development, Web & Network Services) ABOUT US Study Group is a leading international education provider that is dedicated and passionate about helping students around the world, creating a brighter future and reaching their full potential. With university partnerships and a variety of face-to-face, online, and hybrid study programmes, we can provide students with the resources and guidance they need to succeed. Our global network of offices and university partnerships ensure that students receive the best educational services available. Additionally, our Insendi platform enables us to deliver innovative, accessible, and intuitive digital learning experiences with the most advanced digital tools available. ORGANISATIONAL COMPLIANCE Study Group is proud of its high standards in safeguarding and recognises its importance in enabling the best possible student experience and outcomes. For successful applicants the following checks will be conducted- Criminal Background Check (country specific), x2 References, ID and Right to Work checks as well as Education Verification.We are proud to be an equal opportunity employer and we strive to create a diverse and inclusive workplace. We are committed to providing equal opportunities for all individuals, regardless of race, gender, religion, nationality, or any other factor. We believe that the best person for the job should be selected based on skills and experience alone. Your information will be kept confidential and stored securely. Please see our We adopt a rolling recruitment process meaning that we review applications as they are submitted. To avoid disappointment, please ensure that you apply ASAP.?
May 11, 2026
Full time
? ? Contract type: Full Time (37.5 hours) - Permanent Location: The University of Huddersfield - London Campus Salary: up to £54,000 per annumStudy Group attracts a diverse, international student body seeking high-quality teaching, combined with an industry-focussed learning experience and strong employability opportunities within London's dynamic, professional environment.The University of Huddersfield London Campus is an exciting new academic institution in the Stratford area of London. Developed and operated in partnership with Study Group, the campus delivers a range of undergraduate and postgraduate programmes on behalf of the University of Huddersfield (UoH). We Connect students to feel welcome, included and confident We Educate through high-quality, tailored teaching We Care about developing confident and resilient learners We Prepare learners to succeed Study Group is the smartest choice for students who want to thrive at university.In addition to teaching responsibilities, academic staff will actively engage in research, contributing both to scholarly advancement and to the development of a vibrant academic community at the London Campus. ABOUT THE ROLE Design teaching material and deliver across a range of modules or within a subject area using appropriate teaching learning support and assessment methods to ensure student's progress Design, mark and give feedback on appropriate formative and summative assessments, providing opportunities for students to improve Within the subject team plan design and develop learning outcomes and materials Contribute to the revision and improvements in the curriculum content and delivery Supervise student projects, field trips and placements Maintain up to date and accurate records of student attendance and progress and complete all associated academic administration Act as a personal tutor, offering support or signposting students as required Develop an active research record securing appropriate publications or other recognised forms of output and engage in subject professional and/pr pedagogy research and scholarship With support coordinate and lead small modules in own subject area to ensure student expectations are met Participate in and develop external networks Contribute to the internal and external quality assurance process Contribute to recruitment activities eg, participating in webinars, taster lectures Participate in team meetings departmental and school meetings and committees Ensure the implementation of the university's and Study Group's policies and regulations within the remit of the postholder's duties Undertake other duties as directed by or in agreement with the Head of School or other Senior Leadership Team members. ABOUT YOU PhD degree (or equivalent) or doctoral degree in Computer Science or relevant discipline Strong research and publication background, with evidence of contributing to academic 2 journals and above, conferences, or professional publications. Fellowship of Advance HE or to be achieved within 12 months of appointment. Experience teaching undergraduate modules in at least one of the following (Network Fundamentals, Organisation & Architecture, Mathematics, Programming, Data Structures, AI, Operating Systems, Databases & Web Integration) Experience teaching postgraduate modules in at least one of the following (Autonomic Intelligent Systems, Data Mining, Machine Learning, Semantic Web, Software Development, Web & Network Services) ABOUT US Study Group is a leading international education provider that is dedicated and passionate about helping students around the world, creating a brighter future and reaching their full potential. With university partnerships and a variety of face-to-face, online, and hybrid study programmes, we can provide students with the resources and guidance they need to succeed. Our global network of offices and university partnerships ensure that students receive the best educational services available. Additionally, our Insendi platform enables us to deliver innovative, accessible, and intuitive digital learning experiences with the most advanced digital tools available. ORGANISATIONAL COMPLIANCE Study Group is proud of its high standards in safeguarding and recognises its importance in enabling the best possible student experience and outcomes. For successful applicants the following checks will be conducted- Criminal Background Check (country specific), x2 References, ID and Right to Work checks as well as Education Verification.We are proud to be an equal opportunity employer and we strive to create a diverse and inclusive workplace. We are committed to providing equal opportunities for all individuals, regardless of race, gender, religion, nationality, or any other factor. We believe that the best person for the job should be selected based on skills and experience alone. Your information will be kept confidential and stored securely. Please see our We adopt a rolling recruitment process meaning that we review applications as they are submitted. To avoid disappointment, please ensure that you apply ASAP.?
Job Title: Principal Pricing Analyst Locations : This can be a largely remote position with the occasion travel to the office closest to you. We have offices based in Manchester, Stoke, London and Peterborough. Role Overview Markerstudy Group are looking for a Principal Pricing Analyst to join a quickly growing and developing pricing department across a range of insurance lines. You will utilise your technical expertise, in-depth knowledge of insurance industry and market leading tools to produce creative and actionable pricing solutions. This role requires a large element of coaching team members and championing best practice across the department. Reporting to the our Associate Director, you will make use of WTW Radar and Emblem and you will have responsibility for the development and maintenance of predictive models (GLM) and price optimisation including machine learning algorithms (GBM), LTV (Lifetime Value) and fair pricing principles. Ultimately creating value for our customers. Bringing best in class pricing experience, you'll be expected to provide pricing proposals considering customer and commercial outcomes, communicating these in a compelling, impactful way to all levels of stakeholders to help us make the right decisions at the right times. You'll work on multiple priorities within a fast paced, dynamic environment. You'll need to be able to manage the expectations of stakeholders alongside prioritising your workload. As a Principal Pricing Analyst, you will use your advanced analytical skills to: Be a key stakeholder influencing the direction & outcome of projects Provide technical leadership on WTW toolkit (in particular Radar Optimiser) to drive forward effective and efficient solutions Provide thought leadership on optimisation and modelling concepts Research, develop and champion the use of best practice methods and standards and ensure they are embedded throughout the department Lead the development of the Groups pricing capability Query large databases to extract and manipulate data that is fit for purpose Oversee and assist in the development and implementation of the market leading methodologies you've identified Continuously evaluate methodologies, understanding how they fit into the wider piece, and identify where they can be improved Key Skills and Experience: Previous experience within general insurance pricing Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW's Radar software Proficient at communicating results in a concise manner both verbally and written About us Markerstudy Group is a major force in UK general insurance market, combining scale with innovation. Markerstudy Group have deep product and distribution reach through multiple brands and an experienced leadership foundation coordinating diverse and fast-evolving business units. The Group employs more than 6,000 people across the UK.
May 11, 2026
Full time
Job Title: Principal Pricing Analyst Locations : This can be a largely remote position with the occasion travel to the office closest to you. We have offices based in Manchester, Stoke, London and Peterborough. Role Overview Markerstudy Group are looking for a Principal Pricing Analyst to join a quickly growing and developing pricing department across a range of insurance lines. You will utilise your technical expertise, in-depth knowledge of insurance industry and market leading tools to produce creative and actionable pricing solutions. This role requires a large element of coaching team members and championing best practice across the department. Reporting to the our Associate Director, you will make use of WTW Radar and Emblem and you will have responsibility for the development and maintenance of predictive models (GLM) and price optimisation including machine learning algorithms (GBM), LTV (Lifetime Value) and fair pricing principles. Ultimately creating value for our customers. Bringing best in class pricing experience, you'll be expected to provide pricing proposals considering customer and commercial outcomes, communicating these in a compelling, impactful way to all levels of stakeholders to help us make the right decisions at the right times. You'll work on multiple priorities within a fast paced, dynamic environment. You'll need to be able to manage the expectations of stakeholders alongside prioritising your workload. As a Principal Pricing Analyst, you will use your advanced analytical skills to: Be a key stakeholder influencing the direction & outcome of projects Provide technical leadership on WTW toolkit (in particular Radar Optimiser) to drive forward effective and efficient solutions Provide thought leadership on optimisation and modelling concepts Research, develop and champion the use of best practice methods and standards and ensure they are embedded throughout the department Lead the development of the Groups pricing capability Query large databases to extract and manipulate data that is fit for purpose Oversee and assist in the development and implementation of the market leading methodologies you've identified Continuously evaluate methodologies, understanding how they fit into the wider piece, and identify where they can be improved Key Skills and Experience: Previous experience within general insurance pricing Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW's Radar software Proficient at communicating results in a concise manner both verbally and written About us Markerstudy Group is a major force in UK general insurance market, combining scale with innovation. Markerstudy Group have deep product and distribution reach through multiple brands and an experienced leadership foundation coordinating diverse and fast-evolving business units. The Group employs more than 6,000 people across the UK.
Nottingham Feminist Archive Group
Nottingham, Nottinghamshire
450190 RMB to 592815 RMB per annum, depending on skills and experience. Salary progression beyond this scale is subject to performance The School of Computer Science is now seeking exceptional scholars to join us as Assistant Professors in Computer Science. About the School/Department Join a unique British University in China. University of Nottingham Ningbo China (UNNC) was the first Sino-foreign university to open its doors in China. This award-winning campus offering a UK-style education has grown to establish a student body of over 10,000 in just 22 years. This is an exciting opportunity to join the School of Computer Science () within the Faculty of Science & Engineering based at the University of Nottingham Ningbo China (UNNC). The School of Computer Science at UNNC is part of the School of Computer Science at the University of Nottingham, UK, which is ranked among the top UK Computer Science departments (). The School at UNNC offers a full range of undergraduate and postgraduate computer science programmes. Supported by major research grants, the School of Computer Science at UNNC is developing strong research in areas including Big Data and Visual Analytics, Computational Intelligence, Machine Learning, Software Implementation and Testing, and their applications in manufacturing, transport, healthcare and others. About You The successful candidate will be expected to lead and deliver lectures and seminars in the topics within School of Computer Science. We are looking for a world class research leader to strengthen our team of international experts, specializing in at least one of the following areas: Natural Language Processing Software Engineering Candidates must have a PhD in computer science or closely related disciplines, together with an international reputation in research and scholarship. An established track record in high quality research output and the ability to attract external research funding is a distinct advantage. Teaching and tutorial experience in computer science subjects at undergraduate and postgraduate level in an international English-speaking institution is also essential. The successful candidates will be expected to contribute to teaching and curriculum development for undergraduate and postgraduate programmes, participate in assessing and examining students, supervise PhD students, perform high quality research and obtain external research grants. Your Remuneration, Benefits and Support Salary will be within the range of RMB 450,190 to RMB 592,815 per annum, depending on skills and experience. In addition, an attractive package including employment support allowance, schooling and insurance will be provided for international appointments. Application Instructions A full application shall include the applicant's English CV, teaching statement, publication list and three contacts for references. Late submissions or incomplete applications will not be considered for shortlisting. Enquiries Informal enquiries regarding these vacancies may be addressed to: Professor Dave Towey (), Head of School of Computer Science, University of Nottingham Ningbo China. Please note that applications sent directly to this address will not be accepted. If you have any enquiries, please contact Recruitment Team, Email: and quote the ref: 184530.
May 11, 2026
Full time
450190 RMB to 592815 RMB per annum, depending on skills and experience. Salary progression beyond this scale is subject to performance The School of Computer Science is now seeking exceptional scholars to join us as Assistant Professors in Computer Science. About the School/Department Join a unique British University in China. University of Nottingham Ningbo China (UNNC) was the first Sino-foreign university to open its doors in China. This award-winning campus offering a UK-style education has grown to establish a student body of over 10,000 in just 22 years. This is an exciting opportunity to join the School of Computer Science () within the Faculty of Science & Engineering based at the University of Nottingham Ningbo China (UNNC). The School of Computer Science at UNNC is part of the School of Computer Science at the University of Nottingham, UK, which is ranked among the top UK Computer Science departments (). The School at UNNC offers a full range of undergraduate and postgraduate computer science programmes. Supported by major research grants, the School of Computer Science at UNNC is developing strong research in areas including Big Data and Visual Analytics, Computational Intelligence, Machine Learning, Software Implementation and Testing, and their applications in manufacturing, transport, healthcare and others. About You The successful candidate will be expected to lead and deliver lectures and seminars in the topics within School of Computer Science. We are looking for a world class research leader to strengthen our team of international experts, specializing in at least one of the following areas: Natural Language Processing Software Engineering Candidates must have a PhD in computer science or closely related disciplines, together with an international reputation in research and scholarship. An established track record in high quality research output and the ability to attract external research funding is a distinct advantage. Teaching and tutorial experience in computer science subjects at undergraduate and postgraduate level in an international English-speaking institution is also essential. The successful candidates will be expected to contribute to teaching and curriculum development for undergraduate and postgraduate programmes, participate in assessing and examining students, supervise PhD students, perform high quality research and obtain external research grants. Your Remuneration, Benefits and Support Salary will be within the range of RMB 450,190 to RMB 592,815 per annum, depending on skills and experience. In addition, an attractive package including employment support allowance, schooling and insurance will be provided for international appointments. Application Instructions A full application shall include the applicant's English CV, teaching statement, publication list and three contacts for references. Late submissions or incomplete applications will not be considered for shortlisting. Enquiries Informal enquiries regarding these vacancies may be addressed to: Professor Dave Towey (), Head of School of Computer Science, University of Nottingham Ningbo China. Please note that applications sent directly to this address will not be accepted. If you have any enquiries, please contact Recruitment Team, Email: and quote the ref: 184530.
