Data Engineer / Data Engineering / Azure / Databricks / Ingestion / Pipelines / API / Azure API Management (APIM ) / Python / 3-month contract / Outside IR35 / Fully remote / £400 500 per day. One of our leading clients is looking to recruit a Data Engineer. Location fully remote / home based Duration Initial 3 month Day Rate £400-500 per day Outside IR35 Role / Responsibilities: Define and build a da click apply for full job details
Aug 26, 2026
Contractor
Data Engineer / Data Engineering / Azure / Databricks / Ingestion / Pipelines / API / Azure API Management (APIM ) / Python / 3-month contract / Outside IR35 / Fully remote / £400 500 per day. One of our leading clients is looking to recruit a Data Engineer. Location fully remote / home based Duration Initial 3 month Day Rate £400-500 per day Outside IR35 Role / Responsibilities: Define and build a da click apply for full job details
YT Tech is partnering with defence organisation looking for a system engineer on a permanent basis. On behalf of this company, we are seeking a flexible, enthusiastic, and highly experienced Systems Engineer to join their dynamic R&D team. This is a hands-on design and technical leadership role where you will take complete ownership of system designs, guiding products from initial concept through to manufacture and through-life support. Key Responsibilities As a Systems Engineer, your blend of hands-on technical skill and engineering management will see you: System Design & Integration: Participate in the full development, integration, verification, and validation of advanced engineering projects. Requirements & Specifications: Produce comprehensive requirement specifications in line with customer and product goals. Testing & Diagnostics: Formulate and execute test strategies, plans, and procedures; evaluate prototypes and handle fault-finding and resolution. Cross-Functional Leadership: Provide technical oversight and collaborate closely with a multi-disciplinary internal team (Software, RF, PCB Layout, Mechanical) and external partners. Mentorship: Act as a technical mentor to less experienced engineers as the team continues to grow. Stakeholder Engagement: Coordinate with suppliers, manage in-house/external production, and engage with clients to elicit requirements and provide technical support. Essential Skills & Experience: Lifecycle Methodologies: Strong experience across the full engineering lifecycle, utilizing formal frameworks such as the V-model and Agile development. Technical Debugging: Proven ability to test and debug complex systems across hardware, software, and FPGA firmware domains. Documentation: Exceptional written and verbal communication skills, with a track record of authoring requirements, design specs, and test plans. Engineering Tools: Experience managing Configuration Items and BoMs using Aras Innovator (or equivalent PLM) , alongside tools like IBM DOORS, Jira, Confluence, and Bitbucket. Desirable (but not essential) Skills: A background in electronics or RF design, radio systems, and the use of RF test equipment. Previous domain experience in EW/ECM, C-UAS, or similar defence-sector radio products. Automated Test Equipment (ATE) software development experience (e.g., Python) and working knowledge of Linux. Experience defining and executing formal qualification testing (EMC, environmental, safety) in line with standards like Def Stan, MIL-STD, or ISO.
Aug 26, 2026
Full time
YT Tech is partnering with defence organisation looking for a system engineer on a permanent basis. On behalf of this company, we are seeking a flexible, enthusiastic, and highly experienced Systems Engineer to join their dynamic R&D team. This is a hands-on design and technical leadership role where you will take complete ownership of system designs, guiding products from initial concept through to manufacture and through-life support. Key Responsibilities As a Systems Engineer, your blend of hands-on technical skill and engineering management will see you: System Design & Integration: Participate in the full development, integration, verification, and validation of advanced engineering projects. Requirements & Specifications: Produce comprehensive requirement specifications in line with customer and product goals. Testing & Diagnostics: Formulate and execute test strategies, plans, and procedures; evaluate prototypes and handle fault-finding and resolution. Cross-Functional Leadership: Provide technical oversight and collaborate closely with a multi-disciplinary internal team (Software, RF, PCB Layout, Mechanical) and external partners. Mentorship: Act as a technical mentor to less experienced engineers as the team continues to grow. Stakeholder Engagement: Coordinate with suppliers, manage in-house/external production, and engage with clients to elicit requirements and provide technical support. Essential Skills & Experience: Lifecycle Methodologies: Strong experience across the full engineering lifecycle, utilizing formal frameworks such as the V-model and Agile development. Technical Debugging: Proven ability to test and debug complex systems across hardware, software, and FPGA firmware domains. Documentation: Exceptional written and verbal communication skills, with a track record of authoring requirements, design specs, and test plans. Engineering Tools: Experience managing Configuration Items and BoMs using Aras Innovator (or equivalent PLM) , alongside tools like IBM DOORS, Jira, Confluence, and Bitbucket. Desirable (but not essential) Skills: A background in electronics or RF design, radio systems, and the use of RF test equipment. Previous domain experience in EW/ECM, C-UAS, or similar defence-sector radio products. Automated Test Equipment (ATE) software development experience (e.g., Python) and working knowledge of Linux. Experience defining and executing formal qualification testing (EMC, environmental, safety) in line with standards like Def Stan, MIL-STD, or ISO.
Overview As a Lead Architect at JPMorgan Chase within the Corporate Investment Bank Information Architecture team, you are an integral part of a team that works to develop high-quality architecture solutions for various software applications and platforms products. You drive significant business impact and help shape the target state architecture through your capabilities in multiple architecture domains. You will play a crucial role in delivering, maintaining, and promoting the adoption of standards, components, processes, and tools that support the broader function of Data Management. Additionally, you will have the opportunity to collaborate with Corporate Investment Bank Technology, Global Technology, and other Lines of Business to develop contemporary and innovative engineering methods. Job Responsibilities Actively engage with development teams to use, develop, and improve Information Architecture standards, tools, and processes as part of the development process. Provides feedback and proposes improvements to architecture governance practices. Collaborate to create, maintain, govern, and use Controlled Vocabularies with Business Partners and the Chief Data Office. Create and maintain accurate, complete, and consistent governed Data Models with lineage and metadata to facilitate traceability to other metadata classification such as Data Concepts. Guides evaluation of current technology and leads evaluation of new technologies using existing standards and frameworks. Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors. Drives decisions that influence product design, application functionality, and technical operations and processes. Serves as a function-wide subject matter expert in one or more areas of focus. Standardize and innovate Operational and Analytical Data Management in accordance with Reference Architectures and Operating Models. Adds to team culture of diversity, opportunity, inclusion, and respect. Required Qualifications, Capabilities, and Skills Hands on practical experience delivering system design, application development, testing, and operational stability. Software Engineering experience in a data centric role with exposure to how data is stored, moved, governed, and/or validated/cleaned using Programming Languages such as Java, JavaScript, or Python. Experience in Data Modelling and Architecture tools such as ERwin, Power Designer, and/or Magic Draw or wider use of UML tools or IDEs that integrate modeling tools such as Eclipse. Advanced knowledge of software architecture, applications, and technical processes with considerable in depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.). Ability to tackle design and functionality problems independently with little to no oversight. Ability to evaluate current and emerging technologies to select or recommend the best solutions for the future state architecture. Knowledge of some Data Management technologies such as Relational and Columnar Databases, and/or Data Integration (ETL) or API development. Knowledge of some Data Formats such as JSON, XML, and binary formats such as Avro or Google Protocol Buffers. Experience collaborating with business and technical teams to understand, translate, review, and playback requirements and collaborate to develop Model Engineering solutions. Exposure to working with data sets through tools like SQL, JavaScript, or Python. Adds to team culture of diversity, opportunity, inclusion, and respect. Preferred Qualifications, Capabilities, and Skills Knowledge of Programming Language Design and Implementation. Management, Data Quality, Metadata Management, Data Taxonomy and Classification, and Security and Protection. Knowledge of Financial Services, specifically Wholesale and Investment Banking. Experience in other Data Standards (preferably Financial) such as SWIFT, FIX, or FpML. Knowledge and experience of Software Engineering Methodologies (e.g., Agile). A willingness to bring an outside perspective to the team, ask questions, and learn from the breadth and depth of experience of the current IA team. An ability to envisage and compare potential solutions prior to implementation. Equal Employment Opportunity Statement We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
Aug 26, 2026
Full time
Overview As a Lead Architect at JPMorgan Chase within the Corporate Investment Bank Information Architecture team, you are an integral part of a team that works to develop high-quality architecture solutions for various software applications and platforms products. You drive significant business impact and help shape the target state architecture through your capabilities in multiple architecture domains. You will play a crucial role in delivering, maintaining, and promoting the adoption of standards, components, processes, and tools that support the broader function of Data Management. Additionally, you will have the opportunity to collaborate with Corporate Investment Bank Technology, Global Technology, and other Lines of Business to develop contemporary and innovative engineering methods. Job Responsibilities Actively engage with development teams to use, develop, and improve Information Architecture standards, tools, and processes as part of the development process. Provides feedback and proposes improvements to architecture governance practices. Collaborate to create, maintain, govern, and use Controlled Vocabularies with Business Partners and the Chief Data Office. Create and maintain accurate, complete, and consistent governed Data Models with lineage and metadata to facilitate traceability to other metadata classification such as Data Concepts. Guides evaluation of current technology and leads evaluation of new technologies using existing standards and frameworks. Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors. Drives decisions that influence product design, application functionality, and technical operations and processes. Serves as a function-wide subject matter expert in one or more areas of focus. Standardize and innovate Operational and Analytical Data Management in accordance with Reference Architectures and Operating Models. Adds to team culture of diversity, opportunity, inclusion, and respect. Required Qualifications, Capabilities, and Skills Hands on practical experience delivering system design, application development, testing, and operational stability. Software Engineering experience in a data centric role with exposure to how data is stored, moved, governed, and/or validated/cleaned using Programming Languages such as Java, JavaScript, or Python. Experience in Data Modelling and Architecture tools such as ERwin, Power Designer, and/or Magic Draw or wider use of UML tools or IDEs that integrate modeling tools such as Eclipse. Advanced knowledge of software architecture, applications, and technical processes with considerable in depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.). Ability to tackle design and functionality problems independently with little to no oversight. Ability to evaluate current and emerging technologies to select or recommend the best solutions for the future state architecture. Knowledge of some Data Management technologies such as Relational and Columnar Databases, and/or Data Integration (ETL) or API development. Knowledge of some Data Formats such as JSON, XML, and binary formats such as Avro or Google Protocol Buffers. Experience collaborating with business and technical teams to understand, translate, review, and playback requirements and collaborate to develop Model Engineering solutions. Exposure to working with data sets through tools like SQL, JavaScript, or Python. Adds to team culture of diversity, opportunity, inclusion, and respect. Preferred Qualifications, Capabilities, and Skills Knowledge of Programming Language Design and Implementation. Management, Data Quality, Metadata Management, Data Taxonomy and Classification, and Security and Protection. Knowledge of Financial Services, specifically Wholesale and Investment Banking. Experience in other Data Standards (preferably Financial) such as SWIFT, FIX, or FpML. Knowledge and experience of Software Engineering Methodologies (e.g., Agile). A willingness to bring an outside perspective to the team, ask questions, and learn from the breadth and depth of experience of the current IA team. An ability to envisage and compare potential solutions prior to implementation. Equal Employment Opportunity Statement We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
Manager, Instock Management, Amazon EU fresh and Perishable Grocery Instock Job ID: Amazon EU SARL (UK Branch) Role can be based in Manchester or London Amazon EU Fresh & Perishable Grocery is seeking a Manager III, Instock Management to lead a high-performing team responsible for delivering exceptional customer availability, inventory health, and supply chain performance across Amazon Fresh UK. This leader will own end-to-end instock strategy across multiple grocery categories, balancing customer experience, operational efficiency, and cost through scalable supply chain solutions. The successful candidate will lead a team of Instock Managers while partnering with Category, Vendor Management, Supply Chain, Operations, Product, Finance, and Technology teams to solve complex business problems and drive strategic initiatives. They will use deep analytical insight to influence senior stakeholders, improve vendor and supply chain performance, automate manual processes, and establish scalable mechanisms that raise the operational bar. Operating with significant autonomy, this leader will define strategic priorities, lead medium-to-large cross-functional programs, and deliver measurable improvements in availability, inventory productivity, and customer experience. They will also be responsible for developing high-performing talent, building an inclusive team culture, and creating long-term mechanisms that support Amazon Fresh's continued growth across the EU Fresh & Perishable Grocery business. Key job responsibilities Lead a team of Instock Managers to deliver best-in-class customer availability, inventory health, and operational performance across Amazon Fresh UK, while developing high-performing talent and fostering an inclusive, customer-obsessed culture. Own end-to-end instock strategy across multiple Fresh and Perishable Grocery categories, balancing customer experience, inventory productivity, cost, and supply chain efficiency through data-driven decision making. Partner with Category, Vendor Management, Supply Chain, Operations, Finance, Product, and Technology teams to identify root causes, influence strategic priorities, and deliver scalable cross-functional solutions that improve customer outcomes. Drive automation and process improvements by identifying opportunities to eliminate manual work, define system requirements, and influence technical teams to implement long-term scalable mechanisms across the business. Build strong relationships with strategic vendors and internal stakeholders to improve service levels, reduce lead times, remove waste, and enhance end-to-end supply chain performance. Lead medium-to-large strategic programs, establish performance mechanisms, define success metrics, and communicate business insights and recommendations to senior leadership, influencing decisions across the organization. Attract, hire, coach, and develop diverse talent while setting clear goals, maintaining high performance standards, and creating mechanisms that enable continuous learning and operational excellence. A day in the life No two days are the same. You'll lead a team of Instock Managers while partnering with Category, Vendor Management, Supply Chain, Operations, Finance, Product, and Tech teams to improve customer availability and supply chain performance. You'll review key business metrics, dive deep into complex operational challenges, prioritize strategic initiatives, influence senior stakeholders, and drive scalable process and automation improvements. You'll coach and develop your team, engage with strategic vendors, and lead cross-functional programs that improve customer experience, reduce cost, and support the continued growth of Amazon Fresh EU. About the team The Amazon EU Fresh & Perishable Grocery Instock Management team is responsible for ensuring customers can reliably find the products they love while building a scalable, efficient, and resilient supply chain. We partner closely with Category, Vendor Management, Operations, Product, and Tech teams to solve complex supply chain challenges using data, automation, and innovation. Our culture is fast-paced, collaborative, and customer-obsessed, with a strong focus on ownership, continuous improvement, and developing leaders who deliver measurable business impact at scale. Basic Qualifications Bachelor's degree or equivalent, or experience in a relevant field Experience in a people management role, leading teams and growing organizations Experience in procurement, supply chain, inventory management, contract management, lease administration or operations Experience experience using data and metrics to measure impact and determine improvements Experience leading cross-functional projects and implementing strategic initiatives Experience communicating results to senior leadership, or experience communicating complex information and solutions to senior stakeholders and influencing decisions Experience with data analysis tools such as Excel, Pivot Tables, macros, SQL, visualization tools - Tableau, Quicksight, etc. Experience working in a fast-paced and ambiguous environment, or experience delivering results for large, cross-functional initiatives/projects Preferred Qualifications Master's degree, or MBA in supply chain management, operations, engineering, analytics or related field Experience in high impact roles in operations including Vendor Management, Supply Chain, and Retail Operations Experience influencing multiple stakeholders and leading cross functional teams across geographies and business units Experience in creating process improvements with automation and analysis, or experience communicating complex information and solutions to senior stakeholders and influencing decisions Experience working with customers, technical teams, and management to collect requirements, describe software product features, and technical designs Experience in strategic sourcing including vendor negotiations, global contract management, process improvement, operational and financial analysis Experience working with Excel, reporting tools, and large-scale data mining tools, such as Power BI, Python, SQL, or Tableau, or experience with advanced use of SQL for data mining and business intelligence Experience communicating complex information and solutions to senior stakeholders and influencing decisions, or experience using complex financial models, KPIs, and data analysis to inform strategic business decisions and influence cross-functional stakeholders, with proven business impact (e.g., financial savings, operational improvements, or customer benefits) Experience working in a fast-paced and ambiguous environment, or experience in multiple finance and accounting roles Experience building, managing and coaching a team in a high-growth environment Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Aug 25, 2026
Full time
Manager, Instock Management, Amazon EU fresh and Perishable Grocery Instock Job ID: Amazon EU SARL (UK Branch) Role can be based in Manchester or London Amazon EU Fresh & Perishable Grocery is seeking a Manager III, Instock Management to lead a high-performing team responsible for delivering exceptional customer availability, inventory health, and supply chain performance across Amazon Fresh UK. This leader will own end-to-end instock strategy across multiple grocery categories, balancing customer experience, operational efficiency, and cost through scalable supply chain solutions. The successful candidate will lead a team of Instock Managers while partnering with Category, Vendor Management, Supply Chain, Operations, Product, Finance, and Technology teams to solve complex business problems and drive strategic initiatives. They will use deep analytical insight to influence senior stakeholders, improve vendor and supply chain performance, automate manual processes, and establish scalable mechanisms that raise the operational bar. Operating with significant autonomy, this leader will define strategic priorities, lead medium-to-large cross-functional programs, and deliver measurable improvements in availability, inventory productivity, and customer experience. They will also be responsible for developing high-performing talent, building an inclusive team culture, and creating long-term mechanisms that support Amazon Fresh's continued growth across the EU Fresh & Perishable Grocery business. Key job responsibilities Lead a team of Instock Managers to deliver best-in-class customer availability, inventory health, and operational performance across Amazon Fresh UK, while developing high-performing talent and fostering an inclusive, customer-obsessed culture. Own end-to-end instock strategy across multiple Fresh and Perishable Grocery categories, balancing customer experience, inventory productivity, cost, and supply chain efficiency through data-driven decision making. Partner with Category, Vendor Management, Supply Chain, Operations, Finance, Product, and Technology teams to identify root causes, influence strategic priorities, and deliver scalable cross-functional solutions that improve customer outcomes. Drive automation and process improvements by identifying opportunities to eliminate manual work, define system requirements, and influence technical teams to implement long-term scalable mechanisms across the business. Build strong relationships with strategic vendors and internal stakeholders to improve service levels, reduce lead times, remove waste, and enhance end-to-end supply chain performance. Lead medium-to-large strategic programs, establish performance mechanisms, define success metrics, and communicate business insights and recommendations to senior leadership, influencing decisions across the organization. Attract, hire, coach, and develop diverse talent while setting clear goals, maintaining high performance standards, and creating mechanisms that enable continuous learning and operational excellence. A day in the life No two days are the same. You'll lead a team of Instock Managers while partnering with Category, Vendor Management, Supply Chain, Operations, Finance, Product, and Tech teams to improve customer availability and supply chain performance. You'll review key business metrics, dive deep into complex operational challenges, prioritize strategic initiatives, influence senior stakeholders, and drive scalable process and automation improvements. You'll coach and develop your team, engage with strategic vendors, and lead cross-functional programs that improve customer experience, reduce cost, and support the continued growth of Amazon Fresh EU. About the team The Amazon EU Fresh & Perishable Grocery Instock Management team is responsible for ensuring customers can reliably find the products they love while building a scalable, efficient, and resilient supply chain. We partner closely with Category, Vendor Management, Operations, Product, and Tech teams to solve complex supply chain challenges using data, automation, and innovation. Our culture is fast-paced, collaborative, and customer-obsessed, with a strong focus on ownership, continuous improvement, and developing leaders who deliver measurable business impact at scale. Basic Qualifications Bachelor's degree or equivalent, or experience in a relevant field Experience in a people management role, leading teams and growing organizations Experience in procurement, supply chain, inventory management, contract management, lease administration or operations Experience experience using data and metrics to measure impact and determine improvements Experience leading cross-functional projects and implementing strategic initiatives Experience communicating results to senior leadership, or experience communicating complex information and solutions to senior stakeholders and influencing decisions Experience with data analysis tools such as Excel, Pivot Tables, macros, SQL, visualization tools - Tableau, Quicksight, etc. Experience working in a fast-paced and ambiguous environment, or experience delivering results for large, cross-functional initiatives/projects Preferred Qualifications Master's degree, or MBA in supply chain management, operations, engineering, analytics or related field Experience in high impact roles in operations including Vendor Management, Supply Chain, and Retail Operations Experience influencing multiple stakeholders and leading cross functional teams across geographies and business units Experience in creating process improvements with automation and analysis, or experience communicating complex information and solutions to senior stakeholders and influencing decisions Experience working with customers, technical teams, and management to collect requirements, describe software product features, and technical designs Experience in strategic sourcing including vendor negotiations, global contract management, process improvement, operational and financial analysis Experience working with Excel, reporting tools, and large-scale data mining tools, such as Power BI, Python, SQL, or Tableau, or experience with advanced use of SQL for data mining and business intelligence Experience communicating complex information and solutions to senior stakeholders and influencing decisions, or experience using complex financial models, KPIs, and data analysis to inform strategic business decisions and influence cross-functional stakeholders, with proven business impact (e.g., financial savings, operational improvements, or customer benefits) Experience working in a fast-paced and ambiguous environment, or experience in multiple finance and accounting roles Experience building, managing and coaching a team in a high-growth environment Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Senior AI Engineer (Gen AI & RAG) Join an award-winning, internationally recognised high growth international SaaS business as a Senior AI Engineer, where you will play a central role in delivering and evolving production-grade generative & agentic AI capabilities that power real-world business outcomes. This is a senior, hands-on engineering role focused on building the intelligence layer of next-generation AI products. You will architect and implement Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, and rigorous evaluation frameworks that ensure AI systems are accurate, reliable, and grounded in genuine business value. Reporting to the Director of AI, you will bridge strategy and execution, translating architectural direction into high-quality, scalable implementations in close collaboration with AI Platform Engineering. What You'll Do Design, build, and deploy production-grade generative AI systems that perform reliably at scale. Implement and continuously improve RAG pipelines, including chunking strategies, reranking logic, and retrieval fusion, that effectively leverage proprietary and domain-specific content. Develop agentic and workflow-driven AI patterns with a strong emphasis on determinism, explainability, and long-term maintainability. Implement fine-tuning, instruction tuning, and knowledge distillation techniques to adapt models to domain-specific requirements, evaluating trade-offs against prompting on quality, latency, and cost. Drive strong experimentation and evaluation practices, ensuring experiments are reproducible and well-documented while measuring correctness, faithfulness, and robustness across AI outputs. Provide hands-on technical leadership, including code reviews, design walkthroughs, and mentoring across the team. Work closely with platform, product, and delivery teams to accelerate the path from AI experimentation to production deployment. Explore and apply advanced retrieval approaches, including Graph-RAG and structured knowledge representation, where they deliver clear value. Required Skills & Experience Strong Python skills, with hands-on experience in LlamaIndex, LangChain, and LangGraph. Proven track record building RAG systems; Graph-RAG a distinct advantage. Hands-on fine-tuning, instruction tuning, and knowledge distillation, not just prompt engineering. Solid evaluation and experimentation methodology for generative AI, focused on correctness, faithfulness, and robustness. Experience with large-scale, production-grade data pipelines, including performance, scalability, and reliability. Track record owning technical design and delivery of AI/ML systems in live, business-critical environments. Azure/Foundry familiarity advantageous. This is a compelling opportunity to work at the forefront of applied Generative AI, where your contributions directly shape customer-facing products and drive measurable business impact. You will bring genuine technical ownership and autonomy, supported by a world-class leadership team with a clear and ambitious AI roadmap. INDAM The Portfolio Group are acting on behalf of our client in recruiting for this position.
Aug 25, 2026
Full time
Senior AI Engineer (Gen AI & RAG) Join an award-winning, internationally recognised high growth international SaaS business as a Senior AI Engineer, where you will play a central role in delivering and evolving production-grade generative & agentic AI capabilities that power real-world business outcomes. This is a senior, hands-on engineering role focused on building the intelligence layer of next-generation AI products. You will architect and implement Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, and rigorous evaluation frameworks that ensure AI systems are accurate, reliable, and grounded in genuine business value. Reporting to the Director of AI, you will bridge strategy and execution, translating architectural direction into high-quality, scalable implementations in close collaboration with AI Platform Engineering. What You'll Do Design, build, and deploy production-grade generative AI systems that perform reliably at scale. Implement and continuously improve RAG pipelines, including chunking strategies, reranking logic, and retrieval fusion, that effectively leverage proprietary and domain-specific content. Develop agentic and workflow-driven AI patterns with a strong emphasis on determinism, explainability, and long-term maintainability. Implement fine-tuning, instruction tuning, and knowledge distillation techniques to adapt models to domain-specific requirements, evaluating trade-offs against prompting on quality, latency, and cost. Drive strong experimentation and evaluation practices, ensuring experiments are reproducible and well-documented while measuring correctness, faithfulness, and robustness across AI outputs. Provide hands-on technical leadership, including code reviews, design walkthroughs, and mentoring across the team. Work closely with platform, product, and delivery teams to accelerate the path from AI experimentation to production deployment. Explore and apply advanced retrieval approaches, including Graph-RAG and structured knowledge representation, where they deliver clear value. Required Skills & Experience Strong Python skills, with hands-on experience in LlamaIndex, LangChain, and LangGraph. Proven track record building RAG systems; Graph-RAG a distinct advantage. Hands-on fine-tuning, instruction tuning, and knowledge distillation, not just prompt engineering. Solid evaluation and experimentation methodology for generative AI, focused on correctness, faithfulness, and robustness. Experience with large-scale, production-grade data pipelines, including performance, scalability, and reliability. Track record owning technical design and delivery of AI/ML systems in live, business-critical environments. Azure/Foundry familiarity advantageous. This is a compelling opportunity to work at the forefront of applied Generative AI, where your contributions directly shape customer-facing products and drive measurable business impact. You will bring genuine technical ownership and autonomy, supported by a world-class leadership team with a clear and ambitious AI roadmap. INDAM The Portfolio Group are acting on behalf of our client in recruiting for this position.
hackajob is partnering directly with JPMorganChase to hire for this role. JOB DESCRIPTION We are seeking an experienced Senior Python Developer to join our Athena Rates development team to work on Risk and PnL framework in Rates LOB. In this role, you will architect, design, develop, and integrate sophisticated solutions that support trading desks and back office functions across rates products click apply for full job details
Aug 25, 2026
Full time
hackajob is partnering directly with JPMorganChase to hire for this role. JOB DESCRIPTION We are seeking an experienced Senior Python Developer to join our Athena Rates development team to work on Risk and PnL framework in Rates LOB. In this role, you will architect, design, develop, and integrate sophisticated solutions that support trading desks and back office functions across rates products click apply for full job details
JOB DESCRIPTION Are you ready to shape the future of banking with cutting edge AI and machine learning? At JPMorganChase, you'll lead a talented team, solve complex business challenges, and make a real impact on our operations. We value your expertise, encourage your growth, and support your journey as you deliver transformative solutions. Collaborate with industry leaders and advance your career in a dynamic, inclusive environment. As an Applied AI & ML Lead in the Market Operations team, you will drive the design and delivery of AI/ML solutions that enhance and transform Market Operations. You will lead a team of scientists and engineers, partner with business stakeholders and technology leaders, and ensure the successful implementation and scaling of AI driven tools. You will identify opportunities, set technical direction, and deliver measurable impact through innovative AI/ML applications. Your leadership will help foster a culture of collaboration and continuous learning. Job Responsibilities Lead the development, implementation, and end to end delivery of advanced machine learning models and algorithms to drive market operations initiatives. Partner with AI Engineering teams to ensure robust architecture design and deployment patterns for AI/ML models that align with business needs. Mentor and guide a team of AI/ML data scientists, supporting iterative experimentation and tracking progress in an agile environment. Ensure production grade AI/ML applications and tools are built, maintained, and optimized. Establish best practices for designing robust architectures, evaluation, monitoring, governance, and deployment. Champion documentation of methodologies, results, and best practices for knowledge sharing. Achieve design and delivery alignment across partnering teams to ensure execution velocity and clarity in prioritizing development prerequisites. Engage with stakeholders in an agile manner to develop, demonstrate, and iterate on deliverables, ensuring alignment with business needs. Collaborate closely with Operations, Technology, and Transformation teams to address and solve complex problems using AI/ML. Required Qualifications, Capabilities, and Skills MSc or PhD in Computer Science, Data Science, Machine Learning, or related field. Proven experience building and deploying AI applications in large scale production environments. Experience with MLOps practices and tools for managing the machine learning lifecycle. Proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, and scikit learn. Strong understanding of data preprocessing, feature engineering, and evaluation techniques. Experience working with large, complex datasets and applying statistical analysis. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes). Experience managing data science teams and coaching team members. Problem solving skills and ability to work independently and as a leader within cross functional teams. Strong communication skills for both technical and non technical audiences. Preferred Qualifications, Capabilities, and Skills Familiarity with prompt optimization frameworks (AutoPrompt, DSPy) and building evaluation suites. Hands on experience with agentic frameworks (LangChain, LangGraph). Experience with AWS AI deployment services (SageMaker, Bedrock) and workflow orchestration. Demonstrated experience in financial services, particularly investment banking operations. Equal Opportunity Employer We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants and employees religious practices and beliefs, as well as mental health or physical disability needs.
Aug 25, 2026
Full time
JOB DESCRIPTION Are you ready to shape the future of banking with cutting edge AI and machine learning? At JPMorganChase, you'll lead a talented team, solve complex business challenges, and make a real impact on our operations. We value your expertise, encourage your growth, and support your journey as you deliver transformative solutions. Collaborate with industry leaders and advance your career in a dynamic, inclusive environment. As an Applied AI & ML Lead in the Market Operations team, you will drive the design and delivery of AI/ML solutions that enhance and transform Market Operations. You will lead a team of scientists and engineers, partner with business stakeholders and technology leaders, and ensure the successful implementation and scaling of AI driven tools. You will identify opportunities, set technical direction, and deliver measurable impact through innovative AI/ML applications. Your leadership will help foster a culture of collaboration and continuous learning. Job Responsibilities Lead the development, implementation, and end to end delivery of advanced machine learning models and algorithms to drive market operations initiatives. Partner with AI Engineering teams to ensure robust architecture design and deployment patterns for AI/ML models that align with business needs. Mentor and guide a team of AI/ML data scientists, supporting iterative experimentation and tracking progress in an agile environment. Ensure production grade AI/ML applications and tools are built, maintained, and optimized. Establish best practices for designing robust architectures, evaluation, monitoring, governance, and deployment. Champion documentation of methodologies, results, and best practices for knowledge sharing. Achieve design and delivery alignment across partnering teams to ensure execution velocity and clarity in prioritizing development prerequisites. Engage with stakeholders in an agile manner to develop, demonstrate, and iterate on deliverables, ensuring alignment with business needs. Collaborate closely with Operations, Technology, and Transformation teams to address and solve complex problems using AI/ML. Required Qualifications, Capabilities, and Skills MSc or PhD in Computer Science, Data Science, Machine Learning, or related field. Proven experience building and deploying AI applications in large scale production environments. Experience with MLOps practices and tools for managing the machine learning lifecycle. Proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, and scikit learn. Strong understanding of data preprocessing, feature engineering, and evaluation techniques. Experience working with large, complex datasets and applying statistical analysis. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes). Experience managing data science teams and coaching team members. Problem solving skills and ability to work independently and as a leader within cross functional teams. Strong communication skills for both technical and non technical audiences. Preferred Qualifications, Capabilities, and Skills Familiarity with prompt optimization frameworks (AutoPrompt, DSPy) and building evaluation suites. Hands on experience with agentic frameworks (LangChain, LangGraph). Experience with AWS AI deployment services (SageMaker, Bedrock) and workflow orchestration. Demonstrated experience in financial services, particularly investment banking operations. Equal Opportunity Employer We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants and employees religious practices and beliefs, as well as mental health or physical disability needs.
Job Purpose As Senior Architect AI, you will be accountable for designing and overseeing the end-to-end AI platform architecture that powers Liberty Global's telecommunications services across our 85 million subscriber base. You'll bridge technical excellence with business value, ensuring AI solutions integrate seamlessly with our telecommunications infrastructure while meeting operational, budget, and performance requirements. This role requires deep technical expertise combined with strong communication skills to work effectively with both engineering teams and business stakeholders, translating complex technical concepts into actionable recommendations that drive business outcomes. Key Responsibilities End-to-End AI Architecture Design & Ownership Design and maintain comprehensive AI platform architecture spanning data pipelines, model development, infrastructure, deployment frameworks, and integration with both on Prem and cloud platforms and applications. Own the technical vision for AI platform evolution, ensuring architecture supports current and future business requirements, context & process across customer experience, AI innovation, and operational efficiency use cases Define architectural standards, design patterns, and technology selection criteria that enable scalable, reliable AI implementations across multiple European markets & ventures Ensure architectural decisions consider operational requirements, budget constraints, and business priorities while maintaining technical excellence Platform Integration & Technical Accountability Take accountability for AI platform integration with Liberty Global's core telecommunications infrastructure & ventures, ensuring seamless data flow and system reliability Design integration patterns and API strategies that connect AI services with existing platforms while maintaining security, performance, and data quality standards Collaborate with enterprise architects and engineering teams to ensure AI solutions align with overall technology architecture and infrastructure capabilities Establish output goals, monitoring, observability, and quality assurance practices for AI platform components, ensuring operational stability and performance targets are met Technical Guidance & Cross-Functional Collaboration Provide technical expertise and architectural guidance to engineering teams, data scientists, and product managers throughout the AI solution development lifecycle Work closely with business stakeholders to understand requirements, translate them into technical architectures, and communicate trade-offs, timelines, and resource needs clearly Review and approve technical designs, ensuring alignment with architectural standards and best practices while addressing scalability, security, and maintainability concerns Collaborate with operations teams on deployment strategies, capacity planning, and cost optimization for AI infrastructure and cloud resources Support comprehensive technical due diligence for potential acquisitions, investments, or partnerships Operational Excellence & Budget Considerations Contribute to budget planning and cost optimization discussions, providing recommendations on infrastructure investments, cloud resource allocation, and technology choices Design architectures that optimize operational efficiency through automation, resource utilization, and smart platform design while meeting performance requirements Support capacity planning and infrastructure scaling decisions based on usage patterns, performance metrics, and business growth projections Participate in vendor evaluations and technology assessments, providing technical recommendations that balance capability, cost, and operational impact Define, refine & optimise processes, frameworks & context to ensure right business outcomes Set Lifecycle management expectations and govern End of Existence models and components Define and validate business cases by establishing clear metrics, measurable outcomes, and ROI, ensuring solutions deliver tangible customer value and product impact Knowledge and Experience Essential: 8-10 years of experience in software architecture or technical lead roles with 4-5 years focused on AI/ML platforms and data-intensive systems Proven experience designing end-to-end architectures or processes for AI/ML systems in production environments supporting large user bases Understanding of IT platforms i.e., cloud platforms (AWS, Azure, GCP), containerization (Kubernetes, Docker), and MLOps frameworks and practices Understanding of the use of Waterfall vs Agile practices including use of Kanban, SAFE, etc Deep understanding of telecommunications systems and integration patterns with OSS/BSS, customer platforms, and network management systems Demonstrated ability to work effectively with both technical teams and business stakeholders, translating between technical and business language Proficiency in AI/ML technologies including model training platforms, deployment frameworks, data pipelines, and monitoring tools Experience with distributed systems design, API architecture, and microservices patterns for building scalable platforms Strong knowledge of database technologies, data warehousing, streaming platforms (Kafka, Pulsar), and big data processing frameworks Excellent communication and presentation skills for explaining complex technical concepts to non-technical audiences and business stakeholders including use of deep data analysis Understanding of budget planning, cost modelling, and operational considerations for large-scale technology platforms & businesses Ability to source, process, and analyse complex datasets to generate actionable insights that inform business and product decisions Understanding of budget planning, cost modelling, and operational considerations for large-scale technology platforms & businesses Ability to source, process, and analyse complex datasets to generate actionable insights that inform business and product decisions Desirable: Hands-on coding and prototyping experience in AI/ML development (Python, TensorFlow, PyTorch) Experience with proof-of-concept development and technical validation of new AI technologies Background in data science or machine learning engineering with an understanding of model development workflows Practical experience with infrastructure-as-code and DevOps practices for AI platforms Knowledge of data management M&A due diligence Preferred education/qualifications: Experience in telecommunications, cable, or network infrastructure industries with understanding of subscriber analytics and operational systems Bachelor's or Master's degree in Computer Science, Engineering, Telecommunications, or related technical field Background in hands-on development with Python, Java, or similar languages (nice to have but not required for day-to-day work) Knowledge of AI ethics, responsible AI practices, and regulatory requirements relevant to European telecommunications markets or relevant knowledge gained from operations Experience with architectural frameworks and documentation practices for enterprise-scale systems Our Story We're building Tomorrow's Connections Today. Liberty Global is a leading international converged connectivity and investment company focused on creating sustainable, long-term value for customers, employees and shareholders through the strategic management of three platforms - Liberty Telecom, Liberty Growth and Liberty Services. Liberty Telecom is a world leader in converged broadband, video and mobile communications services, delivering next-generation products through advanced fibre and 5G networks. It currently provides approximately 80 million connections through some of Europe's best-known consumer brands, including Virgin Media-O2 in the UK, VodafoneZiggo in The Netherlands, Telenet in Belgium, and Virgin Media in Ireland. With our substantial scale and commitment to innovation, we are building Tomorrow's Connections Today, investing in the infrastructure and platforms that empower our customers to make the most of the digital revolution, while deploying the advanced technologies that nations and economies need to thrive. Liberty Growth invests, grows and rotates capital into scalable businesses across the technology, media/content, sports and infrastructure industries with a portfolio of approximately 70 companies and various funds, including stakes in companies like ITV, Televisa Univision, Plume, EdgeConneX and AtlasEdge, as well as our controlling interest in the Formula E racing series. Liberty Services delivers innovative technology and finance services, generating approximately $600 million in revenue. Our scale enables us to transfer knowledge and expertise across our operations and investments, creating a dynamic family of brands united in the pursuit of innovation and excellence, with a commitment to building a culture where everyone feels they belong. And we're prioritizing diversity, equity and inclusion in our workplace and communities, while reducing our impact on the environment. We are using technology as a force for good; for our people, our partners and the planet. OUR FUTURE OUTLOOK IS EXCITING, TOGETHER Privacy Policy The data included in the candidate account (eg. your name, e mail address and CV; hereafter collectively "your data") will be processed by Liberty Global as the Controller for the purposes of candidate selection, placement and employment. Your data can also be shared with Liberty Global plc and/or its majority owned subsidiaries (collectively, the "Liberty Global Group" . click apply for full job details
Aug 25, 2026
Full time
Job Purpose As Senior Architect AI, you will be accountable for designing and overseeing the end-to-end AI platform architecture that powers Liberty Global's telecommunications services across our 85 million subscriber base. You'll bridge technical excellence with business value, ensuring AI solutions integrate seamlessly with our telecommunications infrastructure while meeting operational, budget, and performance requirements. This role requires deep technical expertise combined with strong communication skills to work effectively with both engineering teams and business stakeholders, translating complex technical concepts into actionable recommendations that drive business outcomes. Key Responsibilities End-to-End AI Architecture Design & Ownership Design and maintain comprehensive AI platform architecture spanning data pipelines, model development, infrastructure, deployment frameworks, and integration with both on Prem and cloud platforms and applications. Own the technical vision for AI platform evolution, ensuring architecture supports current and future business requirements, context & process across customer experience, AI innovation, and operational efficiency use cases Define architectural standards, design patterns, and technology selection criteria that enable scalable, reliable AI implementations across multiple European markets & ventures Ensure architectural decisions consider operational requirements, budget constraints, and business priorities while maintaining technical excellence Platform Integration & Technical Accountability Take accountability for AI platform integration with Liberty Global's core telecommunications infrastructure & ventures, ensuring seamless data flow and system reliability Design integration patterns and API strategies that connect AI services with existing platforms while maintaining security, performance, and data quality standards Collaborate with enterprise architects and engineering teams to ensure AI solutions align with overall technology architecture and infrastructure capabilities Establish output goals, monitoring, observability, and quality assurance practices for AI platform components, ensuring operational stability and performance targets are met Technical Guidance & Cross-Functional Collaboration Provide technical expertise and architectural guidance to engineering teams, data scientists, and product managers throughout the AI solution development lifecycle Work closely with business stakeholders to understand requirements, translate them into technical architectures, and communicate trade-offs, timelines, and resource needs clearly Review and approve technical designs, ensuring alignment with architectural standards and best practices while addressing scalability, security, and maintainability concerns Collaborate with operations teams on deployment strategies, capacity planning, and cost optimization for AI infrastructure and cloud resources Support comprehensive technical due diligence for potential acquisitions, investments, or partnerships Operational Excellence & Budget Considerations Contribute to budget planning and cost optimization discussions, providing recommendations on infrastructure investments, cloud resource allocation, and technology choices Design architectures that optimize operational efficiency through automation, resource utilization, and smart platform design while meeting performance requirements Support capacity planning and infrastructure scaling decisions based on usage patterns, performance metrics, and business growth projections Participate in vendor evaluations and technology assessments, providing technical recommendations that balance capability, cost, and operational impact Define, refine & optimise processes, frameworks & context to ensure right business outcomes Set Lifecycle management expectations and govern End of Existence models and components Define and validate business cases by establishing clear metrics, measurable outcomes, and ROI, ensuring solutions deliver tangible customer value and product impact Knowledge and Experience Essential: 8-10 years of experience in software architecture or technical lead roles with 4-5 years focused on AI/ML platforms and data-intensive systems Proven experience designing end-to-end architectures or processes for AI/ML systems in production environments supporting large user bases Understanding of IT platforms i.e., cloud platforms (AWS, Azure, GCP), containerization (Kubernetes, Docker), and MLOps frameworks and practices Understanding of the use of Waterfall vs Agile practices including use of Kanban, SAFE, etc Deep understanding of telecommunications systems and integration patterns with OSS/BSS, customer platforms, and network management systems Demonstrated ability to work effectively with both technical teams and business stakeholders, translating between technical and business language Proficiency in AI/ML technologies including model training platforms, deployment frameworks, data pipelines, and monitoring tools Experience with distributed systems design, API architecture, and microservices patterns for building scalable platforms Strong knowledge of database technologies, data warehousing, streaming platforms (Kafka, Pulsar), and big data processing frameworks Excellent communication and presentation skills for explaining complex technical concepts to non-technical audiences and business stakeholders including use of deep data analysis Understanding of budget planning, cost modelling, and operational considerations for large-scale technology platforms & businesses Ability to source, process, and analyse complex datasets to generate actionable insights that inform business and product decisions Understanding of budget planning, cost modelling, and operational considerations for large-scale technology platforms & businesses Ability to source, process, and analyse complex datasets to generate actionable insights that inform business and product decisions Desirable: Hands-on coding and prototyping experience in AI/ML development (Python, TensorFlow, PyTorch) Experience with proof-of-concept development and technical validation of new AI technologies Background in data science or machine learning engineering with an understanding of model development workflows Practical experience with infrastructure-as-code and DevOps practices for AI platforms Knowledge of data management M&A due diligence Preferred education/qualifications: Experience in telecommunications, cable, or network infrastructure industries with understanding of subscriber analytics and operational systems Bachelor's or Master's degree in Computer Science, Engineering, Telecommunications, or related technical field Background in hands-on development with Python, Java, or similar languages (nice to have but not required for day-to-day work) Knowledge of AI ethics, responsible AI practices, and regulatory requirements relevant to European telecommunications markets or relevant knowledge gained from operations Experience with architectural frameworks and documentation practices for enterprise-scale systems Our Story We're building Tomorrow's Connections Today. Liberty Global is a leading international converged connectivity and investment company focused on creating sustainable, long-term value for customers, employees and shareholders through the strategic management of three platforms - Liberty Telecom, Liberty Growth and Liberty Services. Liberty Telecom is a world leader in converged broadband, video and mobile communications services, delivering next-generation products through advanced fibre and 5G networks. It currently provides approximately 80 million connections through some of Europe's best-known consumer brands, including Virgin Media-O2 in the UK, VodafoneZiggo in The Netherlands, Telenet in Belgium, and Virgin Media in Ireland. With our substantial scale and commitment to innovation, we are building Tomorrow's Connections Today, investing in the infrastructure and platforms that empower our customers to make the most of the digital revolution, while deploying the advanced technologies that nations and economies need to thrive. Liberty Growth invests, grows and rotates capital into scalable businesses across the technology, media/content, sports and infrastructure industries with a portfolio of approximately 70 companies and various funds, including stakes in companies like ITV, Televisa Univision, Plume, EdgeConneX and AtlasEdge, as well as our controlling interest in the Formula E racing series. Liberty Services delivers innovative technology and finance services, generating approximately $600 million in revenue. Our scale enables us to transfer knowledge and expertise across our operations and investments, creating a dynamic family of brands united in the pursuit of innovation and excellence, with a commitment to building a culture where everyone feels they belong. And we're prioritizing diversity, equity and inclusion in our workplace and communities, while reducing our impact on the environment. We are using technology as a force for good; for our people, our partners and the planet. OUR FUTURE OUTLOOK IS EXCITING, TOGETHER Privacy Policy The data included in the candidate account (eg. your name, e mail address and CV; hereafter collectively "your data") will be processed by Liberty Global as the Controller for the purposes of candidate selection, placement and employment. Your data can also be shared with Liberty Global plc and/or its majority owned subsidiaries (collectively, the "Liberty Global Group" . click apply for full job details
About Us At Plentific, we're redefining property management in real time. Our mission, is to lead real estate through the transformative journey into "The World of Now," enabling us to empower property professionals through our innovative, cloud-based platform. We harness cutting-edge technology and data-driven insights to streamline operations for landlords, letting agents, and property managers-enabling them to optimize maintenance, manage repairs, and make informed decisions instantly. Our platform is designed to create seamless, real-time workflows that transform traditional property management into a dynamic, digital experience. Backed by a world-class group of investors-including Noa, Highland Europe, Brookfields, Mubadala, RXR Digital Ventures, and Target Global-Plentific is at the forefront of the proptech revolution. Headquartered in London with a global outlook, we're continually expanding our reach and impact. We're looking for forward-thinking, passionate professionals who are ready to contribute to our mission and drive industry innovation. If you're excited about making an immediate impact and shaping the future of property management, explore career opportunities with us at Plentific. The Role We're looking for a Software Architect to join our engineering team and play a pivotal role in shaping the technical direction of our platform. This is not just a hands-on engineering role, it's a leadership position where you'll be expected to bridge the gap between product vision and technical execution. You'll work closely with Product Managers to translate business requirements into robust technical strategies, produce detailed technical analyses, and guide a team of engineers toward successful, on-time delivery. At the same time, you'll remain deeply hands-on, contributing directly to our codebase and setting the bar for engineering excellence across the team. Our engineering team sits at the centre of everything we do at Plentific and is constantly tackling challenging problems, such as online payments, quoting, invoicing, booking, search and scoring algorithms, ETL, data pipelines, in-app messaging, real-time notifications, and fraud prevention. Our backend engineers mostly work with Python and Django on a service-oriented architecture deployed at scale on Kubernetes. The rest of the tech stack includes Django REST Framework, FastAPI, PostgreSQL, AWS, React.js, Docker, Redis, Celery, Pandas, NumPy, Git, Jenkins, and Elasticsearch. We put significant emphasis on design patterns, code readability, automated testing, maintainability, and extensibility. As Software Architect, you'll be the standard-bearer for these values. At Plentific AI is at the core of how we build and deliver software. We expect our Software Architect to be fluent in AI-assisted development practices, leveraging AI tools across the entire engineering lifecycle: from spec-driven development and architectural design, to coding, code review, and delivery. Responsibilities Technical Leadership & Strategy Collaborate closely with Product Managers to translate product requirements into comprehensive technical analyses, breaking down complexity into clear, actionable engineering plans with the help of AI spec-driven development tools Define and own the technical roadmap for your team, ensuring architectural decisions align with business goals and long-term platform scalability Guide and mentor engineers throughout the delivery lifecycle, from design through to deployment, ensuring the team stays on track and produces high-quality output Act as the primary technical point of contact for your squad, facilitating alignment between engineering, product, and stakeholders Architecture & Design Design and evolve scalable, resilient microservices architectures using Django and Python, deployed on Kubernetes at scale Lead the design of APIs, data pipelines, and distributed systems with a strong focus on performance, reliability, and maintainability Define and enforce best practices around database design, query optimisation, and data modelling across relational databases (PostgreSQL) Evaluate emerging technologies and architectural patterns, making evidence-based recommendations to the broader engineering organisation Hands-On Engineering Write well-formulated, testable, and readable code using appropriate software design patterns Build and maintain APIs, microservices, and data pipelines Write complex SQL queries and optimise database performance Debug and resolve issues across our applications, including production incidents Review, maintain, and refactor existing code to support improved or new features AI-Driven Development Champion and embed AI-assisted practices across the full development lifecycle, including spec generation, architectural design, coding, and delivery, ensuring the team operates at the frontier of modern, AI-augmented engineering Delivery & Collaboration Lead code reviews, setting a high bar for quality and consistency across the team Work with product owners, engineering managers, UI designers, and engineers to produce technical specifications and project documentation Remove technical blockers and proactively surface risks to delivery, proposing pragmatic solutions Write clear technical documentation for code, algorithms, APIs, and system architecture Experience and Qualifications 8+ years of software engineering experience, with a strong focus on Python and Django Proven, hands-on experience building and operating Django-based microservices at scale, running in production on Kubernetes Demonstrable experience with AI tools to assist Software Development and Architectural document writing (e.g. Claude Code, Cursor). Demonstrable experience in a Tech Lead or Software Architect capacity, owning technical direction and guiding teams toward delivery Strong track record of producing technical analyses: working alongside Product Managers to assess requirements, define solutions, estimate complexity, and produce clear, actionable engineering plans Deep knowledge of distributed systems design, including event-driven architectures, asynchronous processing (e.g. Celery, Redis), and inter-service communication patterns Expert-level understanding of relational database management (PostgreSQL preferred), including schema design, normalisation, and query optimisation Solid grasp of computer science fundamentals: data structures, algorithms, and software design patterns Experience with AWS and cloud-native infrastructure; familiarity with CI/CD pipelines (e.g. Jenkins) Ability to work UK working hours (+/- 3 hours) Excellent communication skills, with the ability to articulate complex technical concepts clearly to both technical and non-technical audiences A collaborative, can-do mindset with strong ownership and accountability Benefits As you can see, we are quickly progressing with our ambitious plans and are eager to grow our team of doers to achieve our vision of managing over 2 million properties through our platform across various countries. You can help us shape the future of property management across the globe. Here's what we offer: A competitive compensation package 25 days annual holiday + 1 additional day for every year served up to 5 years. Flexible working environment including the option to work abroad Private health care for you and immediate family members with discounted gym membership, optical, dental and private GP Enhanced parental leave Life insurance (4x salary) Employee assistance program Company volunteering day and charity salary sacrifice scheme Learning management system powered by Udemy Referral bonus and charity donation if someone you introduce joins the company Season ticket loan, Cycle to work, Electric vehicle and Techscheme programs Pension scheme Work abroad scheme Company-sponsored lunches, dinners and social gatherings Fully stocked kitchen with drinks, snacks, fruit, breakfast cereal etc.
Aug 25, 2026
Full time
About Us At Plentific, we're redefining property management in real time. Our mission, is to lead real estate through the transformative journey into "The World of Now," enabling us to empower property professionals through our innovative, cloud-based platform. We harness cutting-edge technology and data-driven insights to streamline operations for landlords, letting agents, and property managers-enabling them to optimize maintenance, manage repairs, and make informed decisions instantly. Our platform is designed to create seamless, real-time workflows that transform traditional property management into a dynamic, digital experience. Backed by a world-class group of investors-including Noa, Highland Europe, Brookfields, Mubadala, RXR Digital Ventures, and Target Global-Plentific is at the forefront of the proptech revolution. Headquartered in London with a global outlook, we're continually expanding our reach and impact. We're looking for forward-thinking, passionate professionals who are ready to contribute to our mission and drive industry innovation. If you're excited about making an immediate impact and shaping the future of property management, explore career opportunities with us at Plentific. The Role We're looking for a Software Architect to join our engineering team and play a pivotal role in shaping the technical direction of our platform. This is not just a hands-on engineering role, it's a leadership position where you'll be expected to bridge the gap between product vision and technical execution. You'll work closely with Product Managers to translate business requirements into robust technical strategies, produce detailed technical analyses, and guide a team of engineers toward successful, on-time delivery. At the same time, you'll remain deeply hands-on, contributing directly to our codebase and setting the bar for engineering excellence across the team. Our engineering team sits at the centre of everything we do at Plentific and is constantly tackling challenging problems, such as online payments, quoting, invoicing, booking, search and scoring algorithms, ETL, data pipelines, in-app messaging, real-time notifications, and fraud prevention. Our backend engineers mostly work with Python and Django on a service-oriented architecture deployed at scale on Kubernetes. The rest of the tech stack includes Django REST Framework, FastAPI, PostgreSQL, AWS, React.js, Docker, Redis, Celery, Pandas, NumPy, Git, Jenkins, and Elasticsearch. We put significant emphasis on design patterns, code readability, automated testing, maintainability, and extensibility. As Software Architect, you'll be the standard-bearer for these values. At Plentific AI is at the core of how we build and deliver software. We expect our Software Architect to be fluent in AI-assisted development practices, leveraging AI tools across the entire engineering lifecycle: from spec-driven development and architectural design, to coding, code review, and delivery. Responsibilities Technical Leadership & Strategy Collaborate closely with Product Managers to translate product requirements into comprehensive technical analyses, breaking down complexity into clear, actionable engineering plans with the help of AI spec-driven development tools Define and own the technical roadmap for your team, ensuring architectural decisions align with business goals and long-term platform scalability Guide and mentor engineers throughout the delivery lifecycle, from design through to deployment, ensuring the team stays on track and produces high-quality output Act as the primary technical point of contact for your squad, facilitating alignment between engineering, product, and stakeholders Architecture & Design Design and evolve scalable, resilient microservices architectures using Django and Python, deployed on Kubernetes at scale Lead the design of APIs, data pipelines, and distributed systems with a strong focus on performance, reliability, and maintainability Define and enforce best practices around database design, query optimisation, and data modelling across relational databases (PostgreSQL) Evaluate emerging technologies and architectural patterns, making evidence-based recommendations to the broader engineering organisation Hands-On Engineering Write well-formulated, testable, and readable code using appropriate software design patterns Build and maintain APIs, microservices, and data pipelines Write complex SQL queries and optimise database performance Debug and resolve issues across our applications, including production incidents Review, maintain, and refactor existing code to support improved or new features AI-Driven Development Champion and embed AI-assisted practices across the full development lifecycle, including spec generation, architectural design, coding, and delivery, ensuring the team operates at the frontier of modern, AI-augmented engineering Delivery & Collaboration Lead code reviews, setting a high bar for quality and consistency across the team Work with product owners, engineering managers, UI designers, and engineers to produce technical specifications and project documentation Remove technical blockers and proactively surface risks to delivery, proposing pragmatic solutions Write clear technical documentation for code, algorithms, APIs, and system architecture Experience and Qualifications 8+ years of software engineering experience, with a strong focus on Python and Django Proven, hands-on experience building and operating Django-based microservices at scale, running in production on Kubernetes Demonstrable experience with AI tools to assist Software Development and Architectural document writing (e.g. Claude Code, Cursor). Demonstrable experience in a Tech Lead or Software Architect capacity, owning technical direction and guiding teams toward delivery Strong track record of producing technical analyses: working alongside Product Managers to assess requirements, define solutions, estimate complexity, and produce clear, actionable engineering plans Deep knowledge of distributed systems design, including event-driven architectures, asynchronous processing (e.g. Celery, Redis), and inter-service communication patterns Expert-level understanding of relational database management (PostgreSQL preferred), including schema design, normalisation, and query optimisation Solid grasp of computer science fundamentals: data structures, algorithms, and software design patterns Experience with AWS and cloud-native infrastructure; familiarity with CI/CD pipelines (e.g. Jenkins) Ability to work UK working hours (+/- 3 hours) Excellent communication skills, with the ability to articulate complex technical concepts clearly to both technical and non-technical audiences A collaborative, can-do mindset with strong ownership and accountability Benefits As you can see, we are quickly progressing with our ambitious plans and are eager to grow our team of doers to achieve our vision of managing over 2 million properties through our platform across various countries. You can help us shape the future of property management across the globe. Here's what we offer: A competitive compensation package 25 days annual holiday + 1 additional day for every year served up to 5 years. Flexible working environment including the option to work abroad Private health care for you and immediate family members with discounted gym membership, optical, dental and private GP Enhanced parental leave Life insurance (4x salary) Employee assistance program Company volunteering day and charity salary sacrifice scheme Learning management system powered by Udemy Referral bonus and charity donation if someone you introduce joins the company Season ticket loan, Cycle to work, Electric vehicle and Techscheme programs Pension scheme Work abroad scheme Company-sponsored lunches, dinners and social gatherings Fully stocked kitchen with drinks, snacks, fruit, breakfast cereal etc.
Morgan Advanced Materials
Stourport-on-severn, Worcestershire
Materials Scientist Stourport-on-Severn Morgan Advanced Materials is seeking a Materials Scientist to join our Structural Ceramics Centre of Excellence in Stourport-on-Severn. This is an exciting opportunity for a degree-qualified Materials Scientist, Materials Engineer or related specialist to support the development of advanced ceramic materials and manufacturing processes. The successful candidate will be involved in materials development, characterisation, process optimisation, laboratory testing and data analysis, working closely with internal and external stakeholders to deliver innovative solutions. Experience with ceramic materials, materials characterisation techniques, laboratory-based research, modelling and simulation tools, or programming (e.g. Python) would be advantageous. This role would suit both experienced materials professionals and high-calibre graduates/postgraduates with a strong academic background in Materials Science, Engineering or a related discipline. Due to US export control requirements applicable to this position, applicants must be UK nationals. Location: Stourport-on-Severn, Worcestershire Salary: Competitive + Benefits Apply now to join a global leader in advanced materials and help shape the next generation of ceramic technologies.
Aug 25, 2026
Full time
Materials Scientist Stourport-on-Severn Morgan Advanced Materials is seeking a Materials Scientist to join our Structural Ceramics Centre of Excellence in Stourport-on-Severn. This is an exciting opportunity for a degree-qualified Materials Scientist, Materials Engineer or related specialist to support the development of advanced ceramic materials and manufacturing processes. The successful candidate will be involved in materials development, characterisation, process optimisation, laboratory testing and data analysis, working closely with internal and external stakeholders to deliver innovative solutions. Experience with ceramic materials, materials characterisation techniques, laboratory-based research, modelling and simulation tools, or programming (e.g. Python) would be advantageous. This role would suit both experienced materials professionals and high-calibre graduates/postgraduates with a strong academic background in Materials Science, Engineering or a related discipline. Due to US export control requirements applicable to this position, applicants must be UK nationals. Location: Stourport-on-Severn, Worcestershire Salary: Competitive + Benefits Apply now to join a global leader in advanced materials and help shape the next generation of ceramic technologies.
Select how often (in days) to receive an alert: Job Code: 12976 Country: GB City: London Skill Category: Global Markets Description Job Title: Quantitative Structurer - Platform & AI Corporate Title: Vice President / Executive Director Division: Global Markets Location: London Company overview Nomura is a global financial services group with an integrated network spanning approximately 30 countries and regions. By connecting markets East & West, Nomura services the needs of individuals, institutions, corporates and governments through its three business divisions: Wealth Management, Investment Management, and Wholesale (Global Markets and Investment Banking). Founded in 1925, the firm is built on a tradition of disciplined entrepreneurship, serving clients with creative solutions and considered thought leadership. For further information about Nomura, visit Business Overview The Global Markets Structuring team in EMEA delivers bespoke solutions for clients' hedging and investment requirements across fixed income asset classes - Rates, Foreign Exchange, Credit, and Hybrids. The team engages in end-to-end deal modelling that involves pricing of structured payoffs, suggesting and marketing trade ideas to sales/clients and preparing relevant documentation. Our client services cover both high-volume flow products and carefully tailored structured solutions. The Structuring Platform & AI group is a globally distributed team within Structuring, responsible for building end-to-end digital platforms that scale key structuring business verticals. With a client-centric focus and differentiated by innovation, these platforms deliver market-leading capabilities across the full product lifecycle - from pricing, booking, and risk management to trade idea generation and client servicing - leveraging modern engineering and AI to drive significant efficiency and scale across high-volume flow verticals. Position Specifications The candidate will join as a Strategist in the Structuring Platform & AI group based in London, UK. This is a revenue-aligned role with line of sight to client trades. Working closely with Product Structurers, Sales, Trading, and Quant teams, the candidate will bring modern engineering and AI capabilities to the structured products workflow. The role reports jointly to the Head of Structuring Strategists in Singapore and the GM EMEA Structuring Heads. The role is within a global team spread across Singapore, Mumbai & London. The role combines technical expertise with structured products awareness to design, build, and own autonomous platforms across primarily Rates, Credit and Currency product verticals. This role offers potential for self-motivated individuals to shape and lead Platform & AI functions across a high growth and focus platform, building domain expertise across multiple asset classes. Job Responsibilities Architect and deliver end-to-end digital platforms that scale Fixed Income structuring verticals, covering pricing, booking, lifecycle management, and client servicing Work alongside Product Structuring Specialists to understand payoff design, product mechanics, and client requirements, translating business needs into scalable platforms. Apply modern AI and Generative AI techniques - including RAG, agent architectures, and context engineering - to enhance structuring workflows such as trade idea generation, documentation, and client engagement Drive the design and development of production-grade applications with strong emphasis on system architecture, reliability, and integration with internal infrastructure Contribute to and leverage the global platform ecosystem, ensuring regional solutions align with global development standards and integrate seamlessly with existing capabilities across regions Collaborate with Sales, Trading, Quant, and Technology teams to identify opportunities for efficiency and scale across high-volume flow products Stay current with emerging technologies and industry trends, proactively proposing innovative solutions that strengthen the structuring franchise Job Requirements Degree in Computer Science, Quantitative Finance, Mathematics, or Economics from an accredited institution; advanced degree (Masters or PhD) is a plus Strong Python software engineering skills with proficiency in system architecture, DevOps, and integration with enterprise infrastructure Executive Director equivalent level of experience with a strong track record of building and owning production-grade, end-to-end software solutions Familiarity with structured products, derivatives, and preferably Structuring landscape; experience working alongside a Structuring desk, quantitative Strategists, or Desk quants is valued Working knowledge of modern AI and Generative AI frameworks and concepts - including RAG, agent architecture, context engineering, and orchestration tooling - ideally with applied experience in a financial context Strong analytical and problem-solving abilities with a commercial mindset and attention to detail Ability to communicate complex technical concepts clearly to both technical and business stakeholders Ability to work effectively in a fast-paced environment managing multiple stakeholders and conflicting priorities Desirable skills Experience in building platforms delivering structured products, including pricing and distribution Experience with quantitative modelling and derivatives pricing Hands-on experience with AI/ML frameworks and tooling such as LangChain, LangGraph, vector databases, and MCP-based orchestration Expertise in relational and/or NoSQL databases, data pipelines, and ETL processes Experience with microservices architecture and web development Knowledge of data visualisation tools (e.g., PowerBI, Tableau) and dashboard development Good creativity and lateral thinking skills with an entrepreneurial mindset Nomura Leadership Behaviours Explore Insights & Vision: Identify the underlying causes of problems faced by you or your team and define a clear vision and direction for the future. Making Strategic Decisions: Evaluate all the options for resolving the problems and effectively prioritize actions or recommendations. Inspire Entrepreneurship in People: Inspire team members through effective communication of ideas and motivate them to actively enhance productivity. Elevate Organizational Capability: Engage proactively in professional development and enhance team productivity through the promotion of knowledge sharing. Inclusion: Respect DEI, foster a culture of psychological safety in the workplace and cultivate a "Risk Culture" (Challenge, Escalate and Respect). Right to Work The UK Government have taken steps to reduce net migration to the UK by limiting the number of overseas workers coming to the UK for employment. Please note that whilst we are able to consider applications from overseas workers from outside the UK (who require a Tier 2 Skilled Worker visa) we can only employ them if we can provide evidence that this is a genuine vacancy for a qualified role. Diversity & Inclusion Nomura is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all our employees. We do not discriminate on the basis of age, disability, gender identity and gender expression, pregnancy and maternity, marriage and civil partnership, race, religion or belief, sex or sexual orientation. If you require any assistance or reasonable adjustments due to a disability or long-term health condition, please do not hesitate to contact us. Nomura is an Equal Opportunity Employer
Aug 25, 2026
Full time
Select how often (in days) to receive an alert: Job Code: 12976 Country: GB City: London Skill Category: Global Markets Description Job Title: Quantitative Structurer - Platform & AI Corporate Title: Vice President / Executive Director Division: Global Markets Location: London Company overview Nomura is a global financial services group with an integrated network spanning approximately 30 countries and regions. By connecting markets East & West, Nomura services the needs of individuals, institutions, corporates and governments through its three business divisions: Wealth Management, Investment Management, and Wholesale (Global Markets and Investment Banking). Founded in 1925, the firm is built on a tradition of disciplined entrepreneurship, serving clients with creative solutions and considered thought leadership. For further information about Nomura, visit Business Overview The Global Markets Structuring team in EMEA delivers bespoke solutions for clients' hedging and investment requirements across fixed income asset classes - Rates, Foreign Exchange, Credit, and Hybrids. The team engages in end-to-end deal modelling that involves pricing of structured payoffs, suggesting and marketing trade ideas to sales/clients and preparing relevant documentation. Our client services cover both high-volume flow products and carefully tailored structured solutions. The Structuring Platform & AI group is a globally distributed team within Structuring, responsible for building end-to-end digital platforms that scale key structuring business verticals. With a client-centric focus and differentiated by innovation, these platforms deliver market-leading capabilities across the full product lifecycle - from pricing, booking, and risk management to trade idea generation and client servicing - leveraging modern engineering and AI to drive significant efficiency and scale across high-volume flow verticals. Position Specifications The candidate will join as a Strategist in the Structuring Platform & AI group based in London, UK. This is a revenue-aligned role with line of sight to client trades. Working closely with Product Structurers, Sales, Trading, and Quant teams, the candidate will bring modern engineering and AI capabilities to the structured products workflow. The role reports jointly to the Head of Structuring Strategists in Singapore and the GM EMEA Structuring Heads. The role is within a global team spread across Singapore, Mumbai & London. The role combines technical expertise with structured products awareness to design, build, and own autonomous platforms across primarily Rates, Credit and Currency product verticals. This role offers potential for self-motivated individuals to shape and lead Platform & AI functions across a high growth and focus platform, building domain expertise across multiple asset classes. Job Responsibilities Architect and deliver end-to-end digital platforms that scale Fixed Income structuring verticals, covering pricing, booking, lifecycle management, and client servicing Work alongside Product Structuring Specialists to understand payoff design, product mechanics, and client requirements, translating business needs into scalable platforms. Apply modern AI and Generative AI techniques - including RAG, agent architectures, and context engineering - to enhance structuring workflows such as trade idea generation, documentation, and client engagement Drive the design and development of production-grade applications with strong emphasis on system architecture, reliability, and integration with internal infrastructure Contribute to and leverage the global platform ecosystem, ensuring regional solutions align with global development standards and integrate seamlessly with existing capabilities across regions Collaborate with Sales, Trading, Quant, and Technology teams to identify opportunities for efficiency and scale across high-volume flow products Stay current with emerging technologies and industry trends, proactively proposing innovative solutions that strengthen the structuring franchise Job Requirements Degree in Computer Science, Quantitative Finance, Mathematics, or Economics from an accredited institution; advanced degree (Masters or PhD) is a plus Strong Python software engineering skills with proficiency in system architecture, DevOps, and integration with enterprise infrastructure Executive Director equivalent level of experience with a strong track record of building and owning production-grade, end-to-end software solutions Familiarity with structured products, derivatives, and preferably Structuring landscape; experience working alongside a Structuring desk, quantitative Strategists, or Desk quants is valued Working knowledge of modern AI and Generative AI frameworks and concepts - including RAG, agent architecture, context engineering, and orchestration tooling - ideally with applied experience in a financial context Strong analytical and problem-solving abilities with a commercial mindset and attention to detail Ability to communicate complex technical concepts clearly to both technical and business stakeholders Ability to work effectively in a fast-paced environment managing multiple stakeholders and conflicting priorities Desirable skills Experience in building platforms delivering structured products, including pricing and distribution Experience with quantitative modelling and derivatives pricing Hands-on experience with AI/ML frameworks and tooling such as LangChain, LangGraph, vector databases, and MCP-based orchestration Expertise in relational and/or NoSQL databases, data pipelines, and ETL processes Experience with microservices architecture and web development Knowledge of data visualisation tools (e.g., PowerBI, Tableau) and dashboard development Good creativity and lateral thinking skills with an entrepreneurial mindset Nomura Leadership Behaviours Explore Insights & Vision: Identify the underlying causes of problems faced by you or your team and define a clear vision and direction for the future. Making Strategic Decisions: Evaluate all the options for resolving the problems and effectively prioritize actions or recommendations. Inspire Entrepreneurship in People: Inspire team members through effective communication of ideas and motivate them to actively enhance productivity. Elevate Organizational Capability: Engage proactively in professional development and enhance team productivity through the promotion of knowledge sharing. Inclusion: Respect DEI, foster a culture of psychological safety in the workplace and cultivate a "Risk Culture" (Challenge, Escalate and Respect). Right to Work The UK Government have taken steps to reduce net migration to the UK by limiting the number of overseas workers coming to the UK for employment. Please note that whilst we are able to consider applications from overseas workers from outside the UK (who require a Tier 2 Skilled Worker visa) we can only employ them if we can provide evidence that this is a genuine vacancy for a qualified role. Diversity & Inclusion Nomura is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all our employees. We do not discriminate on the basis of age, disability, gender identity and gender expression, pregnancy and maternity, marriage and civil partnership, race, religion or belief, sex or sexual orientation. If you require any assistance or reasonable adjustments due to a disability or long-term health condition, please do not hesitate to contact us. Nomura is an Equal Opportunity Employer
Job Overview: We are building a central AI control plane to support the safe, scalable, and efficient use of AI across Arm's engineering teams. This hands-on, technical leadership, platform engineering role will help direct and own delivery of the runtime platforms that make AI services reliable, secure, observable and supportable at Arm scale. You will work across Kubernetes, cloud, identity, secrets, networking, telemetry, incident management and automation to provide the production foundation for Arm's AI platform. Participate in production support and our paid on-call rota for high impact incident response. Production AI runtime platforms: Build/deploy and operate the infrastructure for centrally hosted AI platform services, including MCP server infrastructure, model gateway services and supporting control-plane components. Design runtime patterns for isolation, scalability, secure execution, capacity management and cost-aware operation. Automate provisioning, configuration, upgrades and lifecycle management using infrastructure-as-code and GitOps patterns. Reliability, observability and support: Define and implement service-level indicators, service-level objectives, alerting, dashboards, runbooks and support workflows. Incident response, post-incident review and vendor outage handling for AI services embedded in engineering workflows. Build telemetry that helps Arm understand AI platform health, usage, performance, cost and operational risk. Secure operations by default: Ensure platform components meet production readiness, security and compliance expectations. Help make secure AI usage the default by providing reliable paved paths rather than manual or fragmented infrastructure. Responsibilities: Technical leadership - this role will become a recognised expert and lead engineer on our AI platform's technology stack. Build, operate and continuously improve the production infrastructure for Arm's AI platform services, using both custom and third party solutions. Own reliability, scalability, monitoring, alerting, incident response, runbooks and operational readiness for AI platform components. Develop automation for provisioning, deployment, configuration, backup, recovery, patching, upgrades and lifecycle management. Implement secure runtime patterns, including workload isolation, secrets management, identity integration, network controls and auditability. Contribute towards platform roadmap planning and prioritisation. Required Skills and Experience: Expert level experience deploying and operating production infrastructure or platform services in a Linux-based environment using Kubernetes, containers, cloud or private-cloud platforms, infrastructure-as-code and CI/CD/GitOps tooling. Very strong understanding of security fundamentals for production platforms, including identity, secrets, access control, network segmentation, vulnerability management and audit logging. Familiarity with AI platform concepts such as model routing, MCP servers, agentic workflows, RAG systems or LLM observability. Very strong automation and scripting skills, for example Terraform, Go, Python or similar. Experience with incident management, problem management, demand forecasting, and production readiness practices. "Nice To Have" Skills and Experience: Experience operating internal developer platforms, AI platforms, model gateways, MCP infrastructure or other shared engineering platforms. Experience with service mesh, policy-as-code, workload identity, sandboxing, secure runtime environments or multi-tenant platform designs. Experience with regulated or security-sensitive engineering environments. Working knowledge of Open AI tools, products and APIs! In Return: Joining Arm means being part of an elite team that is high-reaching and determined to achieve outstanding results. You will collaborate with industry leaders and innovators, contributing to flawless service builds that improve our global operations. We provide an encouraging and inclusive environment that encourages continuous learning and professional growth. Your success is our success, and together we can build services that compete on the world stage! Accommodations at Arm At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email . To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process. Hybrid Working at Arm Arm's approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team's needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you. Equal Opportunities at Arm Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don't discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Aug 25, 2026
Full time
Job Overview: We are building a central AI control plane to support the safe, scalable, and efficient use of AI across Arm's engineering teams. This hands-on, technical leadership, platform engineering role will help direct and own delivery of the runtime platforms that make AI services reliable, secure, observable and supportable at Arm scale. You will work across Kubernetes, cloud, identity, secrets, networking, telemetry, incident management and automation to provide the production foundation for Arm's AI platform. Participate in production support and our paid on-call rota for high impact incident response. Production AI runtime platforms: Build/deploy and operate the infrastructure for centrally hosted AI platform services, including MCP server infrastructure, model gateway services and supporting control-plane components. Design runtime patterns for isolation, scalability, secure execution, capacity management and cost-aware operation. Automate provisioning, configuration, upgrades and lifecycle management using infrastructure-as-code and GitOps patterns. Reliability, observability and support: Define and implement service-level indicators, service-level objectives, alerting, dashboards, runbooks and support workflows. Incident response, post-incident review and vendor outage handling for AI services embedded in engineering workflows. Build telemetry that helps Arm understand AI platform health, usage, performance, cost and operational risk. Secure operations by default: Ensure platform components meet production readiness, security and compliance expectations. Help make secure AI usage the default by providing reliable paved paths rather than manual or fragmented infrastructure. Responsibilities: Technical leadership - this role will become a recognised expert and lead engineer on our AI platform's technology stack. Build, operate and continuously improve the production infrastructure for Arm's AI platform services, using both custom and third party solutions. Own reliability, scalability, monitoring, alerting, incident response, runbooks and operational readiness for AI platform components. Develop automation for provisioning, deployment, configuration, backup, recovery, patching, upgrades and lifecycle management. Implement secure runtime patterns, including workload isolation, secrets management, identity integration, network controls and auditability. Contribute towards platform roadmap planning and prioritisation. Required Skills and Experience: Expert level experience deploying and operating production infrastructure or platform services in a Linux-based environment using Kubernetes, containers, cloud or private-cloud platforms, infrastructure-as-code and CI/CD/GitOps tooling. Very strong understanding of security fundamentals for production platforms, including identity, secrets, access control, network segmentation, vulnerability management and audit logging. Familiarity with AI platform concepts such as model routing, MCP servers, agentic workflows, RAG systems or LLM observability. Very strong automation and scripting skills, for example Terraform, Go, Python or similar. Experience with incident management, problem management, demand forecasting, and production readiness practices. "Nice To Have" Skills and Experience: Experience operating internal developer platforms, AI platforms, model gateways, MCP infrastructure or other shared engineering platforms. Experience with service mesh, policy-as-code, workload identity, sandboxing, secure runtime environments or multi-tenant platform designs. Experience with regulated or security-sensitive engineering environments. Working knowledge of Open AI tools, products and APIs! In Return: Joining Arm means being part of an elite team that is high-reaching and determined to achieve outstanding results. You will collaborate with industry leaders and innovators, contributing to flawless service builds that improve our global operations. We provide an encouraging and inclusive environment that encourages continuous learning and professional growth. Your success is our success, and together we can build services that compete on the world stage! Accommodations at Arm At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email . To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process. Hybrid Working at Arm Arm's approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team's needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you. Equal Opportunities at Arm Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don't discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
The Opportunity: A leading connected commerce marketing business is seeking a Machine Learning Engineer to join its London-based team on a hybrid basis. The organisation partners with major retailers and global brands, using technology, data and personalised experiences to create meaningful connections with shoppers and deliver measurable campaign results.In this role, you will contribute to the development of solutions within the retail media and advertising environment. You will work alongside multidisciplinary colleagues to help turn complex commercial and customer data into practical insights, scalable products and improved decision-making.This is an amazing opportunity to join an ambitious organisation focused on innovation, growth and changing the way brands and retailers engage with customers. Key Responsibilities: You will support the design, development and deployment of machine learning solutions that address business and customer challenges across connected commerce marketing. This may include preparing and analysing large datasets, developing predictive models, evaluating performance and improving solutions through experimentation.Working collaboratively with data, engineering, product and commercial stakeholders, you will translate business requirements into reliable technical outcomes. You will communicate findings clearly, contribute to sound engineering practices and help ensure that solutions are scalable, maintainable and aligned with business objectives.You will also be expected to stay informed about relevant developments in machine learning and apply appropriate methods to real-world problems.Essential Skills Experience developing and deploying machine learning models in a commercial environment. Strong Python skills and familiarity with common machine learning frameworks. Experience working with large datasets and building reliable, reproducible data pipelines. Understanding of cloud platforms and how to support machine learning solutions in production. Ability to evaluate model performance, iterate through experimentation and monitor solutions over time. Strong communication skills, with the ability to translate technical findings for non-technical stakeholders. A collaborative approach and good software development practice, with an eye for scalable and maintainable solutions. Experience working within retail media, advertising or connected commerce environments. Ability to turn complex commercial and customer data into practical insights and products. Confidence working across multidisciplinary teams in a fast-moving, growth-focused business. If you are looking for an opportunity to apply your machine learning expertise in a fast-moving connected commerce environment, we would love to hear from you!
Aug 25, 2026
Full time
The Opportunity: A leading connected commerce marketing business is seeking a Machine Learning Engineer to join its London-based team on a hybrid basis. The organisation partners with major retailers and global brands, using technology, data and personalised experiences to create meaningful connections with shoppers and deliver measurable campaign results.In this role, you will contribute to the development of solutions within the retail media and advertising environment. You will work alongside multidisciplinary colleagues to help turn complex commercial and customer data into practical insights, scalable products and improved decision-making.This is an amazing opportunity to join an ambitious organisation focused on innovation, growth and changing the way brands and retailers engage with customers. Key Responsibilities: You will support the design, development and deployment of machine learning solutions that address business and customer challenges across connected commerce marketing. This may include preparing and analysing large datasets, developing predictive models, evaluating performance and improving solutions through experimentation.Working collaboratively with data, engineering, product and commercial stakeholders, you will translate business requirements into reliable technical outcomes. You will communicate findings clearly, contribute to sound engineering practices and help ensure that solutions are scalable, maintainable and aligned with business objectives.You will also be expected to stay informed about relevant developments in machine learning and apply appropriate methods to real-world problems.Essential Skills Experience developing and deploying machine learning models in a commercial environment. Strong Python skills and familiarity with common machine learning frameworks. Experience working with large datasets and building reliable, reproducible data pipelines. Understanding of cloud platforms and how to support machine learning solutions in production. Ability to evaluate model performance, iterate through experimentation and monitor solutions over time. Strong communication skills, with the ability to translate technical findings for non-technical stakeholders. A collaborative approach and good software development practice, with an eye for scalable and maintainable solutions. Experience working within retail media, advertising or connected commerce environments. Ability to turn complex commercial and customer data into practical insights and products. Confidence working across multidisciplinary teams in a fast-moving, growth-focused business. If you are looking for an opportunity to apply your machine learning expertise in a fast-moving connected commerce environment, we would love to hear from you!
Job Title: Python Developer (Contract, Hybrid) Job Description Overview We are seeking a Python Developer to join a high-performing regulatory technology team within a leading investment bank. The successful candidate will design and develop scalable solutions supporting regulatory reporting platforms, ensuring compliance with evolving financial regulations while processing high volumes of transaction data. This role combines hands-on software engineering, data analysis, platform enhancement, and close collaboration with regulatory and business stakeholders. Key Responsibilities Design, develop and maintain enterprise-grade Python applications supporting regulatory reporting and compliance functions. Partner with Business Analysts, Compliance teams and Transaction Reporting SMEs to translate complex regulatory requirements into technical solutions. Build highly scalable data processing pipelines capable of handling millions of daily financial transactions. Conduct detailed data analysis, investigations, and root-cause assessments relating to reporting breaches and regulatory inquiries. Develop reconciliation and validation frameworks to ensure reporting accuracy and data integrity. Support remediation initiatives through the design of historical replay and data reconstruction capabilities. Drive system enhancements focused on performance, reliability, auditability and operational resilience. Manage and support software releases through the full development lifecycle, including testing, deployment and production support. Collaborate with cross-functional technology teams to deliver regulatory change programmes and strategic platform improvements. Required Skills & Experience Strong commercial Experience developing applications in Python . Proven Experience within investment banking , capital markets or financial services environments. Experience building scalable, high-volume data processing solutions. Strong understanding of transaction processing, financial data flows and regulatory reporting systems. Experience developing APIs and web applications using Flask or similar Python frameworks. Advanced SQL and database development Experience, ideally with Oracle Database . Strong data analysis and manipulation skills using Pandas . Experience developing reconciliation, validation or control frameworks. Knowledge of software engineering best practices, CI/CD and release management. Excellent stakeholder engagement skills, with Experience working directly with business and regulatory reporting teams. Desirable Experience Experience with transaction reporting regulations such as MiFID II , EMIR , SFTR , or similar. Experience with Elasticsearch . Knowledge of event-driven architectures and data replay/reprocessing frameworks. Experience with scheduling and orchestration tools such as Quartz . Exposure to regulatory remediation programmes and audit-driven development practices. Understanding of parallel processing and distributed computing techniques. Technical Stack Python Flask Pandas Oracle Database Elasticsearch Quartz Scheduler Git CI/CD Tooling Location Bromley, UK Rate/Salary .00 GBP Daily Trading as TEKsystems. Allegis Group Limited, Maxis 2, Western Road, Bracknell, RG12 1RT, United Kingdom. No. (phone number removed). Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at (url removed)> To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go to (url removed)> We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice at (url removed)/en-gb/privacy-notices for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. If you are resident in the UK, EEA or Switzerland, we will process any access request you make in accordance with our commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.
Aug 25, 2026
Contractor
Job Title: Python Developer (Contract, Hybrid) Job Description Overview We are seeking a Python Developer to join a high-performing regulatory technology team within a leading investment bank. The successful candidate will design and develop scalable solutions supporting regulatory reporting platforms, ensuring compliance with evolving financial regulations while processing high volumes of transaction data. This role combines hands-on software engineering, data analysis, platform enhancement, and close collaboration with regulatory and business stakeholders. Key Responsibilities Design, develop and maintain enterprise-grade Python applications supporting regulatory reporting and compliance functions. Partner with Business Analysts, Compliance teams and Transaction Reporting SMEs to translate complex regulatory requirements into technical solutions. Build highly scalable data processing pipelines capable of handling millions of daily financial transactions. Conduct detailed data analysis, investigations, and root-cause assessments relating to reporting breaches and regulatory inquiries. Develop reconciliation and validation frameworks to ensure reporting accuracy and data integrity. Support remediation initiatives through the design of historical replay and data reconstruction capabilities. Drive system enhancements focused on performance, reliability, auditability and operational resilience. Manage and support software releases through the full development lifecycle, including testing, deployment and production support. Collaborate with cross-functional technology teams to deliver regulatory change programmes and strategic platform improvements. Required Skills & Experience Strong commercial Experience developing applications in Python . Proven Experience within investment banking , capital markets or financial services environments. Experience building scalable, high-volume data processing solutions. Strong understanding of transaction processing, financial data flows and regulatory reporting systems. Experience developing APIs and web applications using Flask or similar Python frameworks. Advanced SQL and database development Experience, ideally with Oracle Database . Strong data analysis and manipulation skills using Pandas . Experience developing reconciliation, validation or control frameworks. Knowledge of software engineering best practices, CI/CD and release management. Excellent stakeholder engagement skills, with Experience working directly with business and regulatory reporting teams. Desirable Experience Experience with transaction reporting regulations such as MiFID II , EMIR , SFTR , or similar. Experience with Elasticsearch . Knowledge of event-driven architectures and data replay/reprocessing frameworks. Experience with scheduling and orchestration tools such as Quartz . Exposure to regulatory remediation programmes and audit-driven development practices. Understanding of parallel processing and distributed computing techniques. Technical Stack Python Flask Pandas Oracle Database Elasticsearch Quartz Scheduler Git CI/CD Tooling Location Bromley, UK Rate/Salary .00 GBP Daily Trading as TEKsystems. Allegis Group Limited, Maxis 2, Western Road, Bracknell, RG12 1RT, United Kingdom. No. (phone number removed). Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at (url removed)> To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go to (url removed)> We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice at (url removed)/en-gb/privacy-notices for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. If you are resident in the UK, EEA or Switzerland, we will process any access request you make in accordance with our commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.
Gregory-Martin International
Colden Common, Hampshire
Senior Analyst - Defence Location Winchester, Hants, Hybrid role Salary - £40K-£75K plus bonus and benefits Our client is looking for a positive, flexible self-starter to join their team as a Senior Analyst. This is an exciting opportunity to play a leading role in delivering analysis capability as an integral part of a small, agile and growing business. Our client s team of analysts, consultants and Defence SMEs work closely with their customers to deliver high-impact services and solutions. Data science and operational analysis are a key part of their company s capability. They are growing this capability and are looking for a highly motivated and capable Senior Analyst. As Senior Analyst your role will include: Using operational analysis approaches to deliver impactful insights to their clients. Taking a consultative approach to your work, understanding how your work contributes to delivering a great result for clients. Using agile approaches to develop models and tools, including requirements capture, design, development, testing and management. Collating, managing, structuring, analysing, presenting, and visualising data. Deriving unique insights from data to inform senior-level decision making. Producing internal and external presentations and reports to summarise processes, findings, recommendations, and decision analysis results. Delivering high quality analysis and outputs. Taking a leading role in the day-to-day delivery of projects, working closely with clients and the company s team of consultants and analysts. The role as a Senior Analyst will require a blend of working from the office, travel to client sites, and working from home. The company s main clients will be based around key UK Defence establishments in the south of England. Experience /Qualifications Senior Defence Analyst: The following skills and experience will enable you to excel in this role: Operational analysis approaches and techniques Advanced Excel skills , including VBA Data analysis and data science Experience working within UK MoD Stakeholder engagement, requirements gathering and process design. A self-starter and team player. Good communication skills, enabling you to work confidently with team members and clients. Strong organisational and time management skills, with the ability to multi-task and prioritise your work. Attention to detail and the drive to see work through to completion. A positive and flexible approach to your work. Degree, MSc or equivalent experience Knowledge and experience of the following is desirable : Decision making techniques and processes. Operating models and organisational design. Software development using Python. Knowledge of current software development approaches, platforms and best practice. Experience of Microsoft365, SharePoint, PowerBI, Dataverse and PowerApps solutions. Additional information Ideally looking for candidates with current UK SC or DV Clearance Senior Defence Analyst Defence, MOD, Nuclear
Aug 25, 2026
Full time
Senior Analyst - Defence Location Winchester, Hants, Hybrid role Salary - £40K-£75K plus bonus and benefits Our client is looking for a positive, flexible self-starter to join their team as a Senior Analyst. This is an exciting opportunity to play a leading role in delivering analysis capability as an integral part of a small, agile and growing business. Our client s team of analysts, consultants and Defence SMEs work closely with their customers to deliver high-impact services and solutions. Data science and operational analysis are a key part of their company s capability. They are growing this capability and are looking for a highly motivated and capable Senior Analyst. As Senior Analyst your role will include: Using operational analysis approaches to deliver impactful insights to their clients. Taking a consultative approach to your work, understanding how your work contributes to delivering a great result for clients. Using agile approaches to develop models and tools, including requirements capture, design, development, testing and management. Collating, managing, structuring, analysing, presenting, and visualising data. Deriving unique insights from data to inform senior-level decision making. Producing internal and external presentations and reports to summarise processes, findings, recommendations, and decision analysis results. Delivering high quality analysis and outputs. Taking a leading role in the day-to-day delivery of projects, working closely with clients and the company s team of consultants and analysts. The role as a Senior Analyst will require a blend of working from the office, travel to client sites, and working from home. The company s main clients will be based around key UK Defence establishments in the south of England. Experience /Qualifications Senior Defence Analyst: The following skills and experience will enable you to excel in this role: Operational analysis approaches and techniques Advanced Excel skills , including VBA Data analysis and data science Experience working within UK MoD Stakeholder engagement, requirements gathering and process design. A self-starter and team player. Good communication skills, enabling you to work confidently with team members and clients. Strong organisational and time management skills, with the ability to multi-task and prioritise your work. Attention to detail and the drive to see work through to completion. A positive and flexible approach to your work. Degree, MSc or equivalent experience Knowledge and experience of the following is desirable : Decision making techniques and processes. Operating models and organisational design. Software development using Python. Knowledge of current software development approaches, platforms and best practice. Experience of Microsoft365, SharePoint, PowerBI, Dataverse and PowerApps solutions. Additional information Ideally looking for candidates with current UK SC or DV Clearance Senior Defence Analyst Defence, MOD, Nuclear
Red Sky Personnel Ltd
London Colney, Hertfordshire
Role: Data Technician Location: St Albans The Opportunity An established UK civil engineering and infrastructure specialist is seeking a Data Technician to support project and delivery teams by integrating, developing and enhancing tools, systems and processes. The role will improve the management of safety, health, environmental, quality (HSEQ) and commercial data, while driving efficiency, continuous improvement and innovation across the region. Working with internal teams and external specialists, you will help strengthen coding, data management and operational processes, enabling better data-led decision making, legislative compliance and measurable improvements in operational and commercial performance, carbon reduction and strategic planning. Key Responsibilities • Design and implement tools to streamline HSEQ data capture, analysis and reporting. • Automate data-heavy processes to reduce administrative workload and improve efficiency. • Develop balanced scorecards and Power BI dashboards providing live, integrated views of business performance, including inspections, waste management, interventions and audit data. • Support and monitor the deployment of new digital platforms, ensuring effective integration with existing systems. • Oversee quarterly verification of carbon data required for external audits and carbon-reduction reporting. • Implement systems for plant idling data capture and telematics, integrating information into unified business dashboards. • Design controlled tests to assess the impact of social value initiatives, including community messaging and public sentiment. • Use data insights to enhance social value activity and support stronger public relations outcomes. • Compare tender assumptions and outputs against actual project performance to identify profitability drivers and opportunities to improve future tenders. • Model future work programmes and analyse historic project performance to support operational planning and identify potential gaps. • Develop automated reports and trackers covering retention, debt, WIP and cash position, providing timely performance information and action reminders to commercial teams. • Create efficiency models from solution reviews, test them through delivery and present findings through Power BI reporting. • Compile data and site information from operational reporting into monthly client reports for discipline leads. • Support the comprehensive capture of Research & Development activity to maximise eligible innovation-related tax opportunities. • Help establish structured testing regimes to assess cause and effect, effort versus reward and the effectiveness of different techniques. About You Essential • Experience using data management and reporting tools to collect, analyse and present information effectively. • Good working knowledge of Microsoft 365 applications, including Word, Excel, OneNote, Planner, OneDrive, Teams, SharePoint, Power Apps, Power BI and Power Automate. • Ability to develop and maintain basic automated workflows and integrate data across Microsoft 365 platforms. • Understanding of SharePoint Lists, data storage and information-sharing best practice. • Good knowledge of Excel functions, formulas, pivot tables and reporting techniques. • Basic PowerShell skills to support administration and automation activities. • Understanding of data privacy, security and governance principles. • Strong troubleshooting and problem-solving skills, with the ability to resolve system and data-related issues. • Strong communication and collaboration skills, with the ability to build effective working relationships at all levels. Desirable • Recognised certification in one or more of the following: Power Apps, Power Automate, Power BI, SharePoint, Python or SQL. • Knowledge and understanding of Python. • Experience within civil engineering, infrastructure, construction, utilities or another project-led environment. What s on Offer • Competitive salary. • Company pension and life assurance. • Private medical cover. • 25 days annual leave plus 8 public bank holidays and additional loyalty days. • 8 hours of volunteering leave. • Employee Assistance Programme supporting mental, physical and financial wellbeing. • Flexible benefits via salary sacrifice. • Company car, green car scheme, car allowance or van depending on position. • Leadership and management training and coaching. • Regular line-management engagement and appraisal to support career progression. • Internal and externally delivered training and development. • Continuous service awards. • Long-term career opportunities within a well-established infrastructure business with secured project and framework work.
Aug 25, 2026
Full time
Role: Data Technician Location: St Albans The Opportunity An established UK civil engineering and infrastructure specialist is seeking a Data Technician to support project and delivery teams by integrating, developing and enhancing tools, systems and processes. The role will improve the management of safety, health, environmental, quality (HSEQ) and commercial data, while driving efficiency, continuous improvement and innovation across the region. Working with internal teams and external specialists, you will help strengthen coding, data management and operational processes, enabling better data-led decision making, legislative compliance and measurable improvements in operational and commercial performance, carbon reduction and strategic planning. Key Responsibilities • Design and implement tools to streamline HSEQ data capture, analysis and reporting. • Automate data-heavy processes to reduce administrative workload and improve efficiency. • Develop balanced scorecards and Power BI dashboards providing live, integrated views of business performance, including inspections, waste management, interventions and audit data. • Support and monitor the deployment of new digital platforms, ensuring effective integration with existing systems. • Oversee quarterly verification of carbon data required for external audits and carbon-reduction reporting. • Implement systems for plant idling data capture and telematics, integrating information into unified business dashboards. • Design controlled tests to assess the impact of social value initiatives, including community messaging and public sentiment. • Use data insights to enhance social value activity and support stronger public relations outcomes. • Compare tender assumptions and outputs against actual project performance to identify profitability drivers and opportunities to improve future tenders. • Model future work programmes and analyse historic project performance to support operational planning and identify potential gaps. • Develop automated reports and trackers covering retention, debt, WIP and cash position, providing timely performance information and action reminders to commercial teams. • Create efficiency models from solution reviews, test them through delivery and present findings through Power BI reporting. • Compile data and site information from operational reporting into monthly client reports for discipline leads. • Support the comprehensive capture of Research & Development activity to maximise eligible innovation-related tax opportunities. • Help establish structured testing regimes to assess cause and effect, effort versus reward and the effectiveness of different techniques. About You Essential • Experience using data management and reporting tools to collect, analyse and present information effectively. • Good working knowledge of Microsoft 365 applications, including Word, Excel, OneNote, Planner, OneDrive, Teams, SharePoint, Power Apps, Power BI and Power Automate. • Ability to develop and maintain basic automated workflows and integrate data across Microsoft 365 platforms. • Understanding of SharePoint Lists, data storage and information-sharing best practice. • Good knowledge of Excel functions, formulas, pivot tables and reporting techniques. • Basic PowerShell skills to support administration and automation activities. • Understanding of data privacy, security and governance principles. • Strong troubleshooting and problem-solving skills, with the ability to resolve system and data-related issues. • Strong communication and collaboration skills, with the ability to build effective working relationships at all levels. Desirable • Recognised certification in one or more of the following: Power Apps, Power Automate, Power BI, SharePoint, Python or SQL. • Knowledge and understanding of Python. • Experience within civil engineering, infrastructure, construction, utilities or another project-led environment. What s on Offer • Competitive salary. • Company pension and life assurance. • Private medical cover. • 25 days annual leave plus 8 public bank holidays and additional loyalty days. • 8 hours of volunteering leave. • Employee Assistance Programme supporting mental, physical and financial wellbeing. • Flexible benefits via salary sacrifice. • Company car, green car scheme, car allowance or van depending on position. • Leadership and management training and coaching. • Regular line-management engagement and appraisal to support career progression. • Internal and externally delivered training and development. • Continuous service awards. • Long-term career opportunities within a well-established infrastructure business with secured project and framework work.
Principal Scientist, Translational Data SciencesClosing Date: 2nd September 2026 (COB)Business IntroductionAt GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting-edge technology to transform people's lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients' needs and have the highest probability of success. We're uniting science, technology, and talent to get ahead of disease together.Find out more:Our approach to R&DFor candidates seeking to be located at our Stevenage site, this role will temporarily be based at Stevenage. However, the Company plans to relocate its offices to Cambridge, UK. The location of this role will therefore subsequently change to Cambridge, UK in accordance with timelines to be set by the Company. The relocation is currently proposed to take effect by early 2029 .Position SummaryYou will lead translational data science efforts that turn human genetics and multi-omic data into clear decisions for drug discovery. You will work closely with experimental scientists, biostatisticians, data engineers, AI researchers and clinical teams. We value clear communication, practical problem solving, curiosity and collaboration. This role offers visible impact, career growth, and aligns with our mission of uniting science, technology and talent to get ahead of disease together.ResponsibilitiesThis role will provide YOU the opportunity to lead key activities to progress YOUR career. These responsibilities include some of the following:- Design and run rigorous, reproducible analyses of large-scale genetic and multi-omic datasets to address translational questions.- Integrate genetics, proteomics, transcriptomics and clinical data to prioritise targets, nominate biomarkers, and define patient subgroups.- Build and maintain analysis workflows and tools following reproducible research and FAIR data principles.- Translate analytic results into clear recommendations for project teams and leaders.- Collaborate across functions and with external partners to shape study design, data generation and interpretation.- Mentor and support junior colleagues to share methods, standards and practical best practice.Why You?Basic QualificationWe are seeking professionals with the following required skills and qualifications to help us achieve our goals.Physical sciences (Maths, Computer Science, Physics, Chemistry, Engineering etc) or Biological sciences (Biology, Biochemistry, Bioengineering etc) undergraduate degree or Medical degree.PhD in data science, computer science, computational biology, bioinformatics, or a closely related discipline.Strong hands-on experience analysing large-scale genetic and multi-omic datasets.Proficient programming skills in Python and experience with reproducible workflows and version control.Experience integrating molecular data with clinical or phenotypic data to answer translational questions.Proven ability to communicate complex results clearly to scientific and non-technical audiences.Willingness and ability to work in a hybrid model with regular on-site presence in the United Kingdom as required by the Performance with Choice policy.Preferred QualificationIf you have the following characteristics, it would be a plus:Track record of peer-reviewed publications or major scientific contributions in genetics or translational genomics.Experience with cloud or distributed computing platforms and large-scale data processing tools.Familiarity with causal inference, biomarker discovery, and patient stratification methods.Experience with single-cell, spatial omics, proteomics or other emerging molecular technologies.Experience working within multi-disciplinary project teams in industry or academia.Experience contributing to production-ready pipelines or shared analysis platforms.Location and Working ModelThis role is based in the United Kingdom. The position is offered on a hybrid working model that combines time working remotely and time in office to support collaboration and development.How to ApplyWe welcome applicants from all backgrounds. If this role matches your skills and interests, please apply and tell us how your experience maps to the responsibilities and qualifications above. We look forward to learning about the impact you could make at GSKSkillsApplied Statistics, Data Analysis, Data Engineering, Data Science, Datasets, Drug Development, Drug Discovery Process, Drug Target Identification, Genetic Analysis, Genomic Analysis, Machine Learning (ML), Software EngineeringGermany Salary Range / Gehaltsbandbreiten Deutschland: EUR 74,250 to EUR 123,750For positions covered by collective bargaining, employment conditions and remuneration are determined by the applicable collective agreements for the chemical industry as well as internal policies. More detailed information on compensation will be provided during the recruitment process. Depending on the role and internal policies, the position may also be eligible for a bonus (if applicable and based on defined, non-discretionary criteria) and/or awards for exceptional performance (granted at the employer's discretion). All benefits arising from the applicable collective bargaining agreement, such as holiday allowance and additional paid time off, will be provided in full, in accordance with that agreement and German law. Other benefits may also be offered, which may include health & wellbeing benefits, pension plan and paid parental leave & care of family member leave.Why GSK?Uniting science, technology and talent to get ahead of disease together.GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases - to impact health at scale.People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at where you can also request a call.Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a Recruitment FAQ guide. Click the link where you will find answers to multiple questions we receiveImportant notice to Employment businesses/ AgenciesGSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at
Aug 25, 2026
Full time
Principal Scientist, Translational Data SciencesClosing Date: 2nd September 2026 (COB)Business IntroductionAt GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting-edge technology to transform people's lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients' needs and have the highest probability of success. We're uniting science, technology, and talent to get ahead of disease together.Find out more:Our approach to R&DFor candidates seeking to be located at our Stevenage site, this role will temporarily be based at Stevenage. However, the Company plans to relocate its offices to Cambridge, UK. The location of this role will therefore subsequently change to Cambridge, UK in accordance with timelines to be set by the Company. The relocation is currently proposed to take effect by early 2029 .Position SummaryYou will lead translational data science efforts that turn human genetics and multi-omic data into clear decisions for drug discovery. You will work closely with experimental scientists, biostatisticians, data engineers, AI researchers and clinical teams. We value clear communication, practical problem solving, curiosity and collaboration. This role offers visible impact, career growth, and aligns with our mission of uniting science, technology and talent to get ahead of disease together.ResponsibilitiesThis role will provide YOU the opportunity to lead key activities to progress YOUR career. These responsibilities include some of the following:- Design and run rigorous, reproducible analyses of large-scale genetic and multi-omic datasets to address translational questions.- Integrate genetics, proteomics, transcriptomics and clinical data to prioritise targets, nominate biomarkers, and define patient subgroups.- Build and maintain analysis workflows and tools following reproducible research and FAIR data principles.- Translate analytic results into clear recommendations for project teams and leaders.- Collaborate across functions and with external partners to shape study design, data generation and interpretation.- Mentor and support junior colleagues to share methods, standards and practical best practice.Why You?Basic QualificationWe are seeking professionals with the following required skills and qualifications to help us achieve our goals.Physical sciences (Maths, Computer Science, Physics, Chemistry, Engineering etc) or Biological sciences (Biology, Biochemistry, Bioengineering etc) undergraduate degree or Medical degree.PhD in data science, computer science, computational biology, bioinformatics, or a closely related discipline.Strong hands-on experience analysing large-scale genetic and multi-omic datasets.Proficient programming skills in Python and experience with reproducible workflows and version control.Experience integrating molecular data with clinical or phenotypic data to answer translational questions.Proven ability to communicate complex results clearly to scientific and non-technical audiences.Willingness and ability to work in a hybrid model with regular on-site presence in the United Kingdom as required by the Performance with Choice policy.Preferred QualificationIf you have the following characteristics, it would be a plus:Track record of peer-reviewed publications or major scientific contributions in genetics or translational genomics.Experience with cloud or distributed computing platforms and large-scale data processing tools.Familiarity with causal inference, biomarker discovery, and patient stratification methods.Experience with single-cell, spatial omics, proteomics or other emerging molecular technologies.Experience working within multi-disciplinary project teams in industry or academia.Experience contributing to production-ready pipelines or shared analysis platforms.Location and Working ModelThis role is based in the United Kingdom. The position is offered on a hybrid working model that combines time working remotely and time in office to support collaboration and development.How to ApplyWe welcome applicants from all backgrounds. If this role matches your skills and interests, please apply and tell us how your experience maps to the responsibilities and qualifications above. We look forward to learning about the impact you could make at GSKSkillsApplied Statistics, Data Analysis, Data Engineering, Data Science, Datasets, Drug Development, Drug Discovery Process, Drug Target Identification, Genetic Analysis, Genomic Analysis, Machine Learning (ML), Software EngineeringGermany Salary Range / Gehaltsbandbreiten Deutschland: EUR 74,250 to EUR 123,750For positions covered by collective bargaining, employment conditions and remuneration are determined by the applicable collective agreements for the chemical industry as well as internal policies. More detailed information on compensation will be provided during the recruitment process. Depending on the role and internal policies, the position may also be eligible for a bonus (if applicable and based on defined, non-discretionary criteria) and/or awards for exceptional performance (granted at the employer's discretion). All benefits arising from the applicable collective bargaining agreement, such as holiday allowance and additional paid time off, will be provided in full, in accordance with that agreement and German law. Other benefits may also be offered, which may include health & wellbeing benefits, pension plan and paid parental leave & care of family member leave.Why GSK?Uniting science, technology and talent to get ahead of disease together.GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases - to impact health at scale.People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at where you can also request a call.Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a Recruitment FAQ guide. Click the link where you will find answers to multiple questions we receiveImportant notice to Employment businesses/ AgenciesGSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at
Introduction Saab UK is part of Scandinavia's largest defence company, bringing together the best of Swedish and British innovation. Saab offers world-leading solutions and services in defence, aviation, space, and civil security to keep people and society safe. Our UK presence has been growing at pace, meaning we can offer a wide range of opportunities for personal fulfilment and career growth. We currently employ over 600 people across eight sites in the UK, and our specialisations include software engineering, underwater robotics, radars, AI, and armed forces training. The Role: This role will be part of our BlueBear Business in Bedfordshire. This Electronics Manager role will assist in leading the electronics design and prototyping department, guiding overall design and a supporting management of a team of electronic engineers. This role is suited to a person with extensive experience in design management with an focus on electronic design, strong leadership capability, and knowledge of safety- and mission-critical development environments. Key Responsibilities: Leadership & Management: Guide, manage, and develop a delivery from a team of electronic engineers (8-10 staff) across multiple programmes. Define team objectives and performance goals aligned with business needs. Foster a culture focused on engineering excellence, traceability, accountability, and continuous improvement. Design Standardisation & Quality Governance: Act as one of the organisational Subject Matter Expert for DO-254 processes, standards, and industry best practice. Maintain design assurance processes and verification traceability across safety-critical electronics developments. Oversee configuration control, Verification and Validation activities Project & Stakeholder Coordination: Work cross-functionally with Systems Engineering, Software, Mechanical, Test, and Programme Management teams to ensure aligned delivery. Support bid development, cost estimation, design planning, and reporting to internal and customer stakeholders. Ensure workloads, priorities, project risks, and dependencies are managed effectively to meet schedule commitments. Qualifications and Skills: Essential: Strong project and programme management experience. 6-8 years experience in project management with a focus on hardware design across digital and mixed signal systems Significant knowledge in detailed electronics hardware design. Detailed understanding of the electronics manufacturing processes Excellent attention to detail. Process driven, ability to read legislation and implement processes to ensure adherence. Experience managing 5+ complex projects/programmes at a time with many stakeholders. Excellent time management/prioritisation skills Highly organised and able to work multi projects in fast paced environment Adaptable personality with professional approach Good verbal and written communication skills Excellent organisation skills Conscientious, with a proactive work ethic Desirable: Experience working on many projects at once and managing your time effectively. Experience of interfacing with subcontractors. Experience writing VHDL or Verilog. Experience writing embedded C and Python. Subject to UK MoD security clearance vetting to a minimum SC level. By submitting an application to Saab UK you consent to undertaking workforce screening activities that may include but are not limited to: Baseline Personnel Security checks, National Security Vetting, reference checks, verification of working rights and in all circumstances preferred candidates will be placed through a security interview.
Aug 25, 2026
Full time
Introduction Saab UK is part of Scandinavia's largest defence company, bringing together the best of Swedish and British innovation. Saab offers world-leading solutions and services in defence, aviation, space, and civil security to keep people and society safe. Our UK presence has been growing at pace, meaning we can offer a wide range of opportunities for personal fulfilment and career growth. We currently employ over 600 people across eight sites in the UK, and our specialisations include software engineering, underwater robotics, radars, AI, and armed forces training. The Role: This role will be part of our BlueBear Business in Bedfordshire. This Electronics Manager role will assist in leading the electronics design and prototyping department, guiding overall design and a supporting management of a team of electronic engineers. This role is suited to a person with extensive experience in design management with an focus on electronic design, strong leadership capability, and knowledge of safety- and mission-critical development environments. Key Responsibilities: Leadership & Management: Guide, manage, and develop a delivery from a team of electronic engineers (8-10 staff) across multiple programmes. Define team objectives and performance goals aligned with business needs. Foster a culture focused on engineering excellence, traceability, accountability, and continuous improvement. Design Standardisation & Quality Governance: Act as one of the organisational Subject Matter Expert for DO-254 processes, standards, and industry best practice. Maintain design assurance processes and verification traceability across safety-critical electronics developments. Oversee configuration control, Verification and Validation activities Project & Stakeholder Coordination: Work cross-functionally with Systems Engineering, Software, Mechanical, Test, and Programme Management teams to ensure aligned delivery. Support bid development, cost estimation, design planning, and reporting to internal and customer stakeholders. Ensure workloads, priorities, project risks, and dependencies are managed effectively to meet schedule commitments. Qualifications and Skills: Essential: Strong project and programme management experience. 6-8 years experience in project management with a focus on hardware design across digital and mixed signal systems Significant knowledge in detailed electronics hardware design. Detailed understanding of the electronics manufacturing processes Excellent attention to detail. Process driven, ability to read legislation and implement processes to ensure adherence. Experience managing 5+ complex projects/programmes at a time with many stakeholders. Excellent time management/prioritisation skills Highly organised and able to work multi projects in fast paced environment Adaptable personality with professional approach Good verbal and written communication skills Excellent organisation skills Conscientious, with a proactive work ethic Desirable: Experience working on many projects at once and managing your time effectively. Experience of interfacing with subcontractors. Experience writing VHDL or Verilog. Experience writing embedded C and Python. Subject to UK MoD security clearance vetting to a minimum SC level. By submitting an application to Saab UK you consent to undertaking workforce screening activities that may include but are not limited to: Baseline Personnel Security checks, National Security Vetting, reference checks, verification of working rights and in all circumstances preferred candidates will be placed through a security interview.
ace has partnered with a prestigious, leading international fund and corporate services organisation to appoint an experiencedData Science Leadwho will provide senior advisoryand technicalguidance across a foundational data programme, at the point where the structural decisions are being made. Our client is midway through asignificant changeagenda:consolidatinga fragmented core administration estate andinvesting seriously in clean data, consistent data processes, and data quality measurement. This is aseniorrole focused on judgementandoutput. You will sit alongside an internal data lead, a small data engineering function and an FP&A team, and your mandate is to make sure they build the right thing - bringing genuine data science fundamentals totheteam,challenging structural decisions before they become expensive, and leaving the organisation more capable than you found it. The successful candidate will be equally comfortable defending a modelling decision to a CTO and teaching a schema fundamental to an FP&A analyst. Responsibilities Define and govern the modelling approach for the client's new data mart: schemaselection, grain, conformeddimensionsand semantic layer structure - with explicit focus on avoiding decisions that foreclose future analytical or AI use cases. Establish data science fundamentals and good practice across the FP&A and data engineering teams: Modelling discipline, statistical rigour,reproducibilityand documentation standards Review of the team's own output, with structured feedback Define data quality dimensions, KPIs and measurement approach, and advise on how these are instrumented and reported. Assess the analytical readiness of the current data estate and set the sequencing for remediation and cleansing work. Deliver structured education and upskilling - working sessions and written standards - so capability persists beyond the engagement. Advise on the data governance implications of downstream AI and agentic tooling, including client-data segregation, permissible-usecontrolsand auditability. Provide a clear, honest read on where the client genuinely needs sustained data science capability versus where existing capability simply needs tuning. Substantial financial services domain experience - fund administration, corporate or fiduciary services, asset servicing, wealth,bankingor insurance. Candidates must understand the fundamentals of the business, not only the shape of the data. Senior practitioner background, typically 10+ years, with meaningful time in an advisory, lead or principal capacity where the deliverable was a recommendation rather than a model. Deepexpertisein dimensional data modelling, schemadesignand semantic layer architecture; able to articulate and defend the trade-offs between competing modelling approaches. Expert SQL; strong Python for analysis and validation. Practical experience of the Microsoft data stack - Fabric, Synapse, Power BI semantic models, and ideally Azure AI Foundry. Demonstrable experience defining data quality frameworks and KPIs in an enterprise setting. Evidenced capability-building experience. A material part of this role is raising the standard of an existing team. Executive presence and credibility with technology leadership and finance stakeholders. Comfortable operating at enterprise, not internet, data scale. Please note that this role is expected to 2or 3days per week,hybrid in London. Start date isideallyimmediate, with the ability to earn up to £1500 a day.
Aug 25, 2026
Full time
ace has partnered with a prestigious, leading international fund and corporate services organisation to appoint an experiencedData Science Leadwho will provide senior advisoryand technicalguidance across a foundational data programme, at the point where the structural decisions are being made. Our client is midway through asignificant changeagenda:consolidatinga fragmented core administration estate andinvesting seriously in clean data, consistent data processes, and data quality measurement. This is aseniorrole focused on judgementandoutput. You will sit alongside an internal data lead, a small data engineering function and an FP&A team, and your mandate is to make sure they build the right thing - bringing genuine data science fundamentals totheteam,challenging structural decisions before they become expensive, and leaving the organisation more capable than you found it. The successful candidate will be equally comfortable defending a modelling decision to a CTO and teaching a schema fundamental to an FP&A analyst. Responsibilities Define and govern the modelling approach for the client's new data mart: schemaselection, grain, conformeddimensionsand semantic layer structure - with explicit focus on avoiding decisions that foreclose future analytical or AI use cases. Establish data science fundamentals and good practice across the FP&A and data engineering teams: Modelling discipline, statistical rigour,reproducibilityand documentation standards Review of the team's own output, with structured feedback Define data quality dimensions, KPIs and measurement approach, and advise on how these are instrumented and reported. Assess the analytical readiness of the current data estate and set the sequencing for remediation and cleansing work. Deliver structured education and upskilling - working sessions and written standards - so capability persists beyond the engagement. Advise on the data governance implications of downstream AI and agentic tooling, including client-data segregation, permissible-usecontrolsand auditability. Provide a clear, honest read on where the client genuinely needs sustained data science capability versus where existing capability simply needs tuning. Substantial financial services domain experience - fund administration, corporate or fiduciary services, asset servicing, wealth,bankingor insurance. Candidates must understand the fundamentals of the business, not only the shape of the data. Senior practitioner background, typically 10+ years, with meaningful time in an advisory, lead or principal capacity where the deliverable was a recommendation rather than a model. Deepexpertisein dimensional data modelling, schemadesignand semantic layer architecture; able to articulate and defend the trade-offs between competing modelling approaches. Expert SQL; strong Python for analysis and validation. Practical experience of the Microsoft data stack - Fabric, Synapse, Power BI semantic models, and ideally Azure AI Foundry. Demonstrable experience defining data quality frameworks and KPIs in an enterprise setting. Evidenced capability-building experience. A material part of this role is raising the standard of an existing team. Executive presence and credibility with technology leadership and finance stakeholders. Comfortable operating at enterprise, not internet, data scale. Please note that this role is expected to 2or 3days per week,hybrid in London. Start date isideallyimmediate, with the ability to earn up to £1500 a day.
Who Are We? Taking care of our customers, our communities and each other. That's the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it. Target Openings 1 What Is the Opportunity? We are seeking a Senior Assistant Pricing Actuary to be based in London, Redhill, or Dublin office. The ideal candidate will have some prior working experience within an pricing actuarial role and be either part-qualified, nearly qualified or newly qualified. This is an analytic role with responsibility for exposure-based pricing models in Travelers Europe. The individual in this role is expected to be an influential member of a team of people who support pricing models, pricing data and pricing analysis in the actuarial department. Travelers Europe currently offers flexibility to employees who wish to work on a hybrid basis in accordance with our Hybrid Work Arrangements Policy. This entails full time employees working three days a week in the office and two days at home (or pro rata for part-time employees). This policy may be changed at the Company's discretion. What Will You Do? Operational: Maintain and develop pricing algorithms for Travelers Europe Implement those algorithms in the Hyperexponential (HX production system) Liaise with underwriters to support use of pricing models Run processes for batch rating portfolios of business in Python Expand batch rater (and associated standard pricing dataset) to work for more products across Travelers Europe Run processes for calibrating base rates Prepare data and analysis for actuarial rating validation exercises for specific products Contribute to analysis of pricing model data Assist with other roles (e.g. case pricing, business planning, reinsurance purchase) carried out by the Travelers Europe pricing team. Communication: Communicates analysis, project results, and other business initiatives to peers and business partners. Communicates technical topics to non-technical audience within the primary working group with guidance from manager. Actively participates and may lead group discussions at the unit level. Creates formal written communication such as memos or presentations with guidance and peer review. Networks and collaborates on ideas and challenges. Perform other duties as assigned. What Will Our Ideal Candidate Have? Associate Actuarial Credential. University degree in STEM related field. Strong PC skills (MS Office) and programming skills (eg. SQL, SAS). Strong understanding of insurance products and industry. Demonstrable ability in actuarial and quantitative analysis and statistical concepts. Leadership: Take ownership of assigned projects and meetings, make recommendations and presents results to business partners. Proficient in Leading Self, exhibiting self-awareness while also effectively managing ambiguity. Initial development of Leading Others, including mentoring/training team members. Initial development of Leading the Business, including actively supporting business goals and being a positive member of the Enterprise culture. Business Acumen: Has an in-depth understanding and knowledge of a few basic business drivers and disciplines such as: underwriting, products, reinsurance, distribution, sales, operations, risk control, claim, and financials. Able to effectively utilise this business knowledge in developing analytic solutions. Has a foundational perspective of the primary industry and developing trends such as: technology, analytic methodology, products and performance of competitors. Is familiar with a couple other key business drivers and disciplines. Relationship Management: Proactively build and own professional business relationships across the BI&AA community across the Enterprise. Generate and solicit ideas, and begin to build consensus with guidance. Aware of potential conflict and begins to addresses with guidance. Begin to set and manage expectations with business partners for small projects. Quantitative Analysis: Evaluate and use appropriate data, tools and methods. Able to perform analytics independently, can effectively plan next steps within analyses with little oversight. May perform technical review of team work product. Able to contribute on more complex analytical work with guidance. What is a Must Have? Bachelor's Degree or equivalent experience. Demonstrable experience in quantitative analysis. What Is in It for You? Private Medical Insurance: On commencement of employment, you are eligible for single cover provided by Travelers, with the option to add cover for your dependents, at your expense through payroll deduction. Retirement: Travelers will make a core contribution of a percentage of salary to your Pension Plan. Additionally, if you decide to contribute to the plan, you will receive an increased company contribution. Holiday Entitlement: Start your career at Travelers with a minimum of 25 days holiday entitlement annually, plus the opportunity to purchase additional days to allow for up to a total of 35 holidays per year. Wellness Programme: The Travelers wellness programme is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health programme provides access to free professional counseling services and other resources that support your daily life needs. Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards programme that enables you to give back to the charity of your choice. Employment Practices Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences. If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you. Travelers reserves the right to fill this position at a level above or below the level included in this posting. To learn more about our comprehensive benefit programs please visit .
Aug 25, 2026
Full time
Who Are We? Taking care of our customers, our communities and each other. That's the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it. Target Openings 1 What Is the Opportunity? We are seeking a Senior Assistant Pricing Actuary to be based in London, Redhill, or Dublin office. The ideal candidate will have some prior working experience within an pricing actuarial role and be either part-qualified, nearly qualified or newly qualified. This is an analytic role with responsibility for exposure-based pricing models in Travelers Europe. The individual in this role is expected to be an influential member of a team of people who support pricing models, pricing data and pricing analysis in the actuarial department. Travelers Europe currently offers flexibility to employees who wish to work on a hybrid basis in accordance with our Hybrid Work Arrangements Policy. This entails full time employees working three days a week in the office and two days at home (or pro rata for part-time employees). This policy may be changed at the Company's discretion. What Will You Do? Operational: Maintain and develop pricing algorithms for Travelers Europe Implement those algorithms in the Hyperexponential (HX production system) Liaise with underwriters to support use of pricing models Run processes for batch rating portfolios of business in Python Expand batch rater (and associated standard pricing dataset) to work for more products across Travelers Europe Run processes for calibrating base rates Prepare data and analysis for actuarial rating validation exercises for specific products Contribute to analysis of pricing model data Assist with other roles (e.g. case pricing, business planning, reinsurance purchase) carried out by the Travelers Europe pricing team. Communication: Communicates analysis, project results, and other business initiatives to peers and business partners. Communicates technical topics to non-technical audience within the primary working group with guidance from manager. Actively participates and may lead group discussions at the unit level. Creates formal written communication such as memos or presentations with guidance and peer review. Networks and collaborates on ideas and challenges. Perform other duties as assigned. What Will Our Ideal Candidate Have? Associate Actuarial Credential. University degree in STEM related field. Strong PC skills (MS Office) and programming skills (eg. SQL, SAS). Strong understanding of insurance products and industry. Demonstrable ability in actuarial and quantitative analysis and statistical concepts. Leadership: Take ownership of assigned projects and meetings, make recommendations and presents results to business partners. Proficient in Leading Self, exhibiting self-awareness while also effectively managing ambiguity. Initial development of Leading Others, including mentoring/training team members. Initial development of Leading the Business, including actively supporting business goals and being a positive member of the Enterprise culture. Business Acumen: Has an in-depth understanding and knowledge of a few basic business drivers and disciplines such as: underwriting, products, reinsurance, distribution, sales, operations, risk control, claim, and financials. Able to effectively utilise this business knowledge in developing analytic solutions. Has a foundational perspective of the primary industry and developing trends such as: technology, analytic methodology, products and performance of competitors. Is familiar with a couple other key business drivers and disciplines. Relationship Management: Proactively build and own professional business relationships across the BI&AA community across the Enterprise. Generate and solicit ideas, and begin to build consensus with guidance. Aware of potential conflict and begins to addresses with guidance. Begin to set and manage expectations with business partners for small projects. Quantitative Analysis: Evaluate and use appropriate data, tools and methods. Able to perform analytics independently, can effectively plan next steps within analyses with little oversight. May perform technical review of team work product. Able to contribute on more complex analytical work with guidance. What is a Must Have? Bachelor's Degree or equivalent experience. Demonstrable experience in quantitative analysis. What Is in It for You? Private Medical Insurance: On commencement of employment, you are eligible for single cover provided by Travelers, with the option to add cover for your dependents, at your expense through payroll deduction. Retirement: Travelers will make a core contribution of a percentage of salary to your Pension Plan. Additionally, if you decide to contribute to the plan, you will receive an increased company contribution. Holiday Entitlement: Start your career at Travelers with a minimum of 25 days holiday entitlement annually, plus the opportunity to purchase additional days to allow for up to a total of 35 holidays per year. Wellness Programme: The Travelers wellness programme is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health programme provides access to free professional counseling services and other resources that support your daily life needs. Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards programme that enables you to give back to the charity of your choice. Employment Practices Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences. If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you. Travelers reserves the right to fill this position at a level above or below the level included in this posting. To learn more about our comprehensive benefit programs please visit .
