Working Environment You will operate with a high degree of autonomy, owning work end-to-end and engaging closely with both technical and non-technical stakeholders. Delivery is supported by a strong technical assurance and review culture, encouraging challenge, learning and high standards. You will work within security, compliance and governance constraints where quality and judgement matter as much as pace. What You'll Be Doing Lead end-to-end delivery of machine learning solutions, from problem definition through experimentation, evaluation and iteration Develop, validate and deploy machine learning models into production environments Apply statistical, mathematical and scientific thinking to frame hypotheses and assess uncertainty Design and run experiments to evaluate model behaviour, performance and user impact Work with real, imperfect data drawn from operational systems and workflows Integrate machine learning components into wider software and data platforms Balance rigour with pragmatism, delivering solutions that are proportionate and effective Communicate complex technical concepts clearly to non-technical stakeholders Engage in technical reviews, design discussions and constructive peer challenge Your Experience Proven experience operating at senior practitioner level as a Machine Learning Engineer, AI Engineer or equivalent Strong grounding in applied mathematics, statistics and scientific practice Excellent Python skills for building, evaluating and deploying machine learning models Experience evaluating models through quantitative evidence and structured experimentation Strong software engineering practices, producing readable, testable and maintainable code Experience integrating ML solutions into production systems and workflows Feels confident working in secure, regulated or high-assurance environments In Return You'll work on genuinely challenging machine learning problems where judgement, credibility and delivery matter in a supportive, committed, inclusive environment. This is an opportunity to operate with autonomy, shape solutions from first principles and contribute to high-impact outcomes within a strong professional culture. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties. Guidant Global is acting as an Employment Business in relation to this vacancy.
25/09/2026
Contractor
Working Environment You will operate with a high degree of autonomy, owning work end-to-end and engaging closely with both technical and non-technical stakeholders. Delivery is supported by a strong technical assurance and review culture, encouraging challenge, learning and high standards. You will work within security, compliance and governance constraints where quality and judgement matter as much as pace. What You'll Be Doing Lead end-to-end delivery of machine learning solutions, from problem definition through experimentation, evaluation and iteration Develop, validate and deploy machine learning models into production environments Apply statistical, mathematical and scientific thinking to frame hypotheses and assess uncertainty Design and run experiments to evaluate model behaviour, performance and user impact Work with real, imperfect data drawn from operational systems and workflows Integrate machine learning components into wider software and data platforms Balance rigour with pragmatism, delivering solutions that are proportionate and effective Communicate complex technical concepts clearly to non-technical stakeholders Engage in technical reviews, design discussions and constructive peer challenge Your Experience Proven experience operating at senior practitioner level as a Machine Learning Engineer, AI Engineer or equivalent Strong grounding in applied mathematics, statistics and scientific practice Excellent Python skills for building, evaluating and deploying machine learning models Experience evaluating models through quantitative evidence and structured experimentation Strong software engineering practices, producing readable, testable and maintainable code Experience integrating ML solutions into production systems and workflows Feels confident working in secure, regulated or high-assurance environments In Return You'll work on genuinely challenging machine learning problems where judgement, credibility and delivery matter in a supportive, committed, inclusive environment. This is an opportunity to operate with autonomy, shape solutions from first principles and contribute to high-impact outcomes within a strong professional culture. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties. Guidant Global is acting as an Employment Business in relation to this vacancy.
Working Environment Data engineering work is grounded in real operational needs, often involving imperfect data, technical constraints and organisational complexity. Engineers work closely with delivery teams and stakeholders to understand problems end to end and deliver robust, production-grade solutions. Collaboration, pragmatism and persistence are valued, alongside strong engineering craft. What You'll Be Doing - Design, build and improve enterprise-scale data pipelines, platforms and services - Lead complex data engineering work end to end, from problem definition through build and operational use - Work directly with technical and non-technical stakeholders to translate real problems into effective data solutions - Engineer data integrations across diverse systems, including legacy and modern platforms - Build production-grade data solutions using strong software and data engineering practices - Improve data quality, lineage and metadata as first-class engineering concerns - Diagnose and resolve complex data and platform issues in constrained environments - Provide technical leadership and raise standards through example and delivery Your Experience To be successful in this role, you will bring: - Significant hands-on experience as a senior or lead data engineer on complex, real-world systems - Strong Python and Spark skills, with evidence of building and maintaining production data pipelines - Deep understanding of the data engineering lifecycle: ingestion, transformation, storage and serving - Experience designing data models that support operational and analytical use - Understanding of data governance, security and compliance built into systems by design - Confidence working with messy data, legacy constraints and organisational complexity - Ability to influence through technical delivery rather than formal authority In Return You'll work on meaningful data engineering challenges that support real outcomes across the organisation. This is an opportunity to stay hands-on, tackle difficult data problems, and shape better data practices through delivery rather than abstraction. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties. Guidant Global is acting as an Employment Business in relation to this vacancy.
25/09/2026
Contractor
Working Environment Data engineering work is grounded in real operational needs, often involving imperfect data, technical constraints and organisational complexity. Engineers work closely with delivery teams and stakeholders to understand problems end to end and deliver robust, production-grade solutions. Collaboration, pragmatism and persistence are valued, alongside strong engineering craft. What You'll Be Doing - Design, build and improve enterprise-scale data pipelines, platforms and services - Lead complex data engineering work end to end, from problem definition through build and operational use - Work directly with technical and non-technical stakeholders to translate real problems into effective data solutions - Engineer data integrations across diverse systems, including legacy and modern platforms - Build production-grade data solutions using strong software and data engineering practices - Improve data quality, lineage and metadata as first-class engineering concerns - Diagnose and resolve complex data and platform issues in constrained environments - Provide technical leadership and raise standards through example and delivery Your Experience To be successful in this role, you will bring: - Significant hands-on experience as a senior or lead data engineer on complex, real-world systems - Strong Python and Spark skills, with evidence of building and maintaining production data pipelines - Deep understanding of the data engineering lifecycle: ingestion, transformation, storage and serving - Experience designing data models that support operational and analytical use - Understanding of data governance, security and compliance built into systems by design - Confidence working with messy data, legacy constraints and organisational complexity - Ability to influence through technical delivery rather than formal authority In Return You'll work on meaningful data engineering challenges that support real outcomes across the organisation. This is an opportunity to stay hands-on, tackle difficult data problems, and shape better data practices through delivery rather than abstraction. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties. Guidant Global is acting as an Employment Business in relation to this vacancy.
Working Environment You'll typically work across two projects at a time, often with different technical leads, giving you both variety and continuity. The environment values curiosity, evidence-based thinking, and the confidence to question assumptions constructively. Data scientists work within established delivery frameworks and collaborate closely with engineers, analysts and product-focused teams. Learning happens through doing, supported by an experienced and inclusive data science community. What You'll Be Doing - Contribute to the design, analysis and build of data science solutions addressing real business and operational problems - Apply statistical, mathematical and scientific approaches to explore data, test hypotheses and support decision-making - Write and maintain Python code to support data preparation, analysis and modelling - Work with production data pipelines, contributing to the data engineering tasks needed to support analytics and models - Support responsible data use, including privacy, ethical considerations and appropriate handling throughout the lifecycle - Collaborate with more senior data scientists, learning through shared delivery - Communicate findings clearly to both technical and non-technical audiences - Contribute to shared documentation, standards and continuous improvement across the profession Your Experience To be successful in this role, you will bring: - Around 2-3 years' experience working as a Data Scientist or in a closely related analytical role - Strong Python skills, with experience contributing to shared codebases - A solid grounding in statistics, applied mathematics and scientific analysis techniques - Experience working with real-world datasets, including cleaning, validation and exploratory analysis - Understanding of how data science moves from experimentation into practical use - Awareness of ethical considerations and responsible data practices - Willingness to learn, accept feedback and engage constructively with challenge In Return You'll join a supportive, high-quality data science profession where learning is embedded in day-to-day delivery. This is an opportunity to build confidence, expand your technical portfolio and contribute to meaningful work, while being supported to grow in capability and responsibility over time. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties. Guidant Global is acting as an Employment Business in relation to this vacancy.
25/09/2026
Contractor
Working Environment You'll typically work across two projects at a time, often with different technical leads, giving you both variety and continuity. The environment values curiosity, evidence-based thinking, and the confidence to question assumptions constructively. Data scientists work within established delivery frameworks and collaborate closely with engineers, analysts and product-focused teams. Learning happens through doing, supported by an experienced and inclusive data science community. What You'll Be Doing - Contribute to the design, analysis and build of data science solutions addressing real business and operational problems - Apply statistical, mathematical and scientific approaches to explore data, test hypotheses and support decision-making - Write and maintain Python code to support data preparation, analysis and modelling - Work with production data pipelines, contributing to the data engineering tasks needed to support analytics and models - Support responsible data use, including privacy, ethical considerations and appropriate handling throughout the lifecycle - Collaborate with more senior data scientists, learning through shared delivery - Communicate findings clearly to both technical and non-technical audiences - Contribute to shared documentation, standards and continuous improvement across the profession Your Experience To be successful in this role, you will bring: - Around 2-3 years' experience working as a Data Scientist or in a closely related analytical role - Strong Python skills, with experience contributing to shared codebases - A solid grounding in statistics, applied mathematics and scientific analysis techniques - Experience working with real-world datasets, including cleaning, validation and exploratory analysis - Understanding of how data science moves from experimentation into practical use - Awareness of ethical considerations and responsible data practices - Willingness to learn, accept feedback and engage constructively with challenge In Return You'll join a supportive, high-quality data science profession where learning is embedded in day-to-day delivery. This is an opportunity to build confidence, expand your technical portfolio and contribute to meaningful work, while being supported to grow in capability and responsibility over time. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties. Guidant Global is acting as an Employment Business in relation to this vacancy.
Working Environment The organisation is operating in a fast-evolving AI landscape, with multiple teams at different stages of maturity. Governance and structure are present but not rigid, and success depends on an ability to balance assurance, delivery pace and pragmatism. This work operates in a supportive, understanding, committed and inclusive team. You will engage with senior technical, delivery, commercial and business stakeholders, often operating in contested or ambiguous situations. The emphasis is on trust, judgement and clear reasoning rather than process for its own sake. What You'll Be Doing - Operate as Lead Enterprise Architect for AI-enabled initiatives across the organisation - Establish and evolve an AI architecture capability aligned to the central AI hub - Define and maintain coherent architectures across strategy, delivery, operations and assurance - Translate architectural intent and technical roadmaps into usable, supportable products and services - Provide architectural leadership and challenge to teams adopting AI - Shape approaches to agentic and AI-enabled systems, balancing opportunity with compliance and risk - Lead architectural decision-making in ambiguous or complex situations, clearly articulating trade-offs - Provide architectural input to cloud adoption and integration, particularly across AWS-based platforms - Build alignment and shared understanding across diverse stakeholder groups Your Experience To be successful in this role, you will bring: - Significant experience operating as a Senior or Lead Enterprise Architect - Proven ability to work across the full enterprise context, balancing technical, organisational and commercial considerations - Experience shaping architecture where requirements are incomplete or evolving - Strong understanding of AI-enabled architectures and adoption patterns - Solid cloud architecture experience, including integrating cloud services into enterprise platforms - Experience operating in regulated, high-assurance or compliance-heavy environments - Credibility communicating architectural decisions clearly to technical and non-technical audiences - The ability to influence outcomes through judgement, relationships and trust rather than instruction In Return You will operate at the point where AI ambition meets organisational reality, helping shape how complex systems evolve over time. This is an opportunity to apply deep architectural judgement, influence significant decisions, and help ensure AI adoption is sustainable, coherent and valuable at enterprise scale. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties. Guidant Global is acting as an Employment Business in relation to this vacancy.
25/09/2026
Contractor
Working Environment The organisation is operating in a fast-evolving AI landscape, with multiple teams at different stages of maturity. Governance and structure are present but not rigid, and success depends on an ability to balance assurance, delivery pace and pragmatism. This work operates in a supportive, understanding, committed and inclusive team. You will engage with senior technical, delivery, commercial and business stakeholders, often operating in contested or ambiguous situations. The emphasis is on trust, judgement and clear reasoning rather than process for its own sake. What You'll Be Doing - Operate as Lead Enterprise Architect for AI-enabled initiatives across the organisation - Establish and evolve an AI architecture capability aligned to the central AI hub - Define and maintain coherent architectures across strategy, delivery, operations and assurance - Translate architectural intent and technical roadmaps into usable, supportable products and services - Provide architectural leadership and challenge to teams adopting AI - Shape approaches to agentic and AI-enabled systems, balancing opportunity with compliance and risk - Lead architectural decision-making in ambiguous or complex situations, clearly articulating trade-offs - Provide architectural input to cloud adoption and integration, particularly across AWS-based platforms - Build alignment and shared understanding across diverse stakeholder groups Your Experience To be successful in this role, you will bring: - Significant experience operating as a Senior or Lead Enterprise Architect - Proven ability to work across the full enterprise context, balancing technical, organisational and commercial considerations - Experience shaping architecture where requirements are incomplete or evolving - Strong understanding of AI-enabled architectures and adoption patterns - Solid cloud architecture experience, including integrating cloud services into enterprise platforms - Experience operating in regulated, high-assurance or compliance-heavy environments - Credibility communicating architectural decisions clearly to technical and non-technical audiences - The ability to influence outcomes through judgement, relationships and trust rather than instruction In Return You will operate at the point where AI ambition meets organisational reality, helping shape how complex systems evolve over time. This is an opportunity to apply deep architectural judgement, influence significant decisions, and help ensure AI adoption is sustainable, coherent and valuable at enterprise scale. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties. Guidant Global is acting as an Employment Business in relation to this vacancy.
What You'll Be Doing - Provide technical leadership across AI-enabled software and DevOps engineering teams - Set architectural direction for API-first design, system integration, and platform enablement for AI - Lead the evolution of legacy or existing applications towards modern, service-based and API-driven architectures - Define and guide integration patterns between applications, platforms, and AI services - Make informed decisions on when and how emerging integration approaches (e.g. protocols such as MCP) should be applied as part of broader system design - Work closely with architects, product teams, data scientists, and platform engineers to deliver end-to-end solutions - Ensure solutions meet appropriate standards for security, resilience, performance, and operability - Anticipate and manage architectural and operational risks associated with AI-enabled systems - Champion strong engineering practices across software development, DevOps, and platform engineering Your Experience To succeed in this role, you will bring: - A strong background as a Senior or Lead Software Engineer, Lead DevOps Engineer, or similar hands-on technical leadership role - Excellent software engineering fundamentals, including system design, clean code, testing, and maintainability - Strong experience designing and delivering API-driven and microservice-based systems - Proven ability to modernise or integrate legacy applications into modern software and platform architectures - Solid development experience in TypeScript and Python - Experience working across software delivery, infrastructure, CI/CD, and operational environments - Confidence providing technical leadership and architectural direction without relying on formal authority - Ability to balance innovation with pragmatism in complex, production environments In Return You'll play a critical role in shaping how AI is integrated into enterprise software platforms, working at the intersection of architecture, delivery, and operational reality. This is an opportunity to lead technically, influence system evolution, and build AI-enabled platforms that are robust, scalable, and fit for real-world use. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties. Guidant Global is acting as an Employment Business in relation to this vacancy.
25/09/2026
Contractor
What You'll Be Doing - Provide technical leadership across AI-enabled software and DevOps engineering teams - Set architectural direction for API-first design, system integration, and platform enablement for AI - Lead the evolution of legacy or existing applications towards modern, service-based and API-driven architectures - Define and guide integration patterns between applications, platforms, and AI services - Make informed decisions on when and how emerging integration approaches (e.g. protocols such as MCP) should be applied as part of broader system design - Work closely with architects, product teams, data scientists, and platform engineers to deliver end-to-end solutions - Ensure solutions meet appropriate standards for security, resilience, performance, and operability - Anticipate and manage architectural and operational risks associated with AI-enabled systems - Champion strong engineering practices across software development, DevOps, and platform engineering Your Experience To succeed in this role, you will bring: - A strong background as a Senior or Lead Software Engineer, Lead DevOps Engineer, or similar hands-on technical leadership role - Excellent software engineering fundamentals, including system design, clean code, testing, and maintainability - Strong experience designing and delivering API-driven and microservice-based systems - Proven ability to modernise or integrate legacy applications into modern software and platform architectures - Solid development experience in TypeScript and Python - Experience working across software delivery, infrastructure, CI/CD, and operational environments - Confidence providing technical leadership and architectural direction without relying on formal authority - Ability to balance innovation with pragmatism in complex, production environments In Return You'll play a critical role in shaping how AI is integrated into enterprise software platforms, working at the intersection of architecture, delivery, and operational reality. This is an opportunity to lead technically, influence system evolution, and build AI-enabled platforms that are robust, scalable, and fit for real-world use. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties. Guidant Global is acting as an Employment Business in relation to this vacancy.
Working Environment You'll work on real, live systems where delivery quality, operational reliability, and adaptability matter more than theoretical knowledge. Collaboration across engineering, platform and architecture teams is expected, with a strong emphasis on ownership and pragmatism. What You'll Be Doing - Design, deploy and operate platforms and services on Kubernetes-based environments - Manage deployments using Helm, with supporting infrastructure defined through tools such as Terraform - Own systems and applications through their full lifecycle, from deployment to live operation and support - Ensure systems are supportable, secure, monitored and reliable in production - Configure and operate machine learning workloads in production, focusing on running models rather than training - Monitor system performance, identify issues and troubleshoot problems in live environments - Work closely with engineers, architects and stakeholders to deliver integrated platform solutions - Contribute to improving DevOps, platform and operational practices across teams Your Experience To be successful in this role, you will bring: - Strong experience as a DevOps Engineer, Platform Engineer or similar senior hands-on role - Proven experience deploying and operating systems on Kubernetes platforms - Strong hands-on experience with Helm for managing application deployments - Experience managing systems through their full operational lifecycle - Solid understanding of monitoring, supportability and reliability concerns in production - Experience using infrastructure-as-code tools such as Terraform - Confidence taking responsibility for live systems and outcomes MLOps experience is highly attractive, particularly operating AI or machine learning models in production. The focus is on operating models, not training them. In Return You'll work on platforms that support AI and data-driven capabilities in real production environments. This is an opportunity to deepen hands-on expertise, own systems end-to-end, and contribute directly to reliability and delivery outcomes. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties. Guidant Global is acting as an Employment Business in relation to this vacancy.
25/09/2026
Contractor
Working Environment You'll work on real, live systems where delivery quality, operational reliability, and adaptability matter more than theoretical knowledge. Collaboration across engineering, platform and architecture teams is expected, with a strong emphasis on ownership and pragmatism. What You'll Be Doing - Design, deploy and operate platforms and services on Kubernetes-based environments - Manage deployments using Helm, with supporting infrastructure defined through tools such as Terraform - Own systems and applications through their full lifecycle, from deployment to live operation and support - Ensure systems are supportable, secure, monitored and reliable in production - Configure and operate machine learning workloads in production, focusing on running models rather than training - Monitor system performance, identify issues and troubleshoot problems in live environments - Work closely with engineers, architects and stakeholders to deliver integrated platform solutions - Contribute to improving DevOps, platform and operational practices across teams Your Experience To be successful in this role, you will bring: - Strong experience as a DevOps Engineer, Platform Engineer or similar senior hands-on role - Proven experience deploying and operating systems on Kubernetes platforms - Strong hands-on experience with Helm for managing application deployments - Experience managing systems through their full operational lifecycle - Solid understanding of monitoring, supportability and reliability concerns in production - Experience using infrastructure-as-code tools such as Terraform - Confidence taking responsibility for live systems and outcomes MLOps experience is highly attractive, particularly operating AI or machine learning models in production. The focus is on operating models, not training them. In Return You'll work on platforms that support AI and data-driven capabilities in real production environments. This is an opportunity to deepen hands-on expertise, own systems end-to-end, and contribute directly to reliability and delivery outcomes. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties. Guidant Global is acting as an Employment Business in relation to this vacancy.
