Platform Modernisation Lead (Contract) Duration: Up until 31 March 2026 (Possibility for extension) Location: London/Hybrid (3 days per week on site) Rate: A highly competitive Umbrella Day Rate is available for suitable candidates Role Overview As the Platform Modernisation Lead, you will take ownership of designing and implementing our hybrid multi-cloud container platform, ensuring it is production-ready at scale. You will be a key player in the ITSD Architecture & Engineering organisation, responsible for integrating our platform with corporate governance processes, standards, and tooling. This role demands strong leadership and a strategic mindset as you define and embed our cloud operating model, aligning it with change and release management, observability, monitoring, alerting, and support processes. Key Responsibilities: Lead the design and implementation of a hybrid multi-cloud container platform across Azure, AWS, and GCP. Ensure seamless integration between the platform and corporate governance processes, standards, and tooling. Define and embed a robust cloud operating model that aligns with organisational change and release management. Develop observability, monitoring, and alerting strategies to ensure operational excellence. Maintain end-to-end accountability for platform production readiness, ensuring it meets enterprise standards. Support and enable the migration of legacy applications to the cloud, contributing to broader cloud adoption initiatives. Collaborate with cross-functional teams to ensure operational readiness, resilience, and effective integration into live service support models. Skills & Experience: Proven experience in leading hybrid/multi-cloud platform initiatives. Strong expertise in container technologies (e.g., Kubernetes, OpenShift). Extensive knowledge of enterprise governance integration within a regulated environment, preferably in financial services. Demonstrated experience operating at a senior level, with a track record of successfully managing complex projects. Familiarity with production infrastructure support and production application support environments. Excellent communication skills, with the ability to engage and influence stakeholders at all levels. Candidates will need to show evidence of the above in their CV in order to be considered. If you feel you have the skills and experience and want to hear more about this role 'apply now' to declare your interest in this opportunity with our client. Your application will be observed by our dedicated team. We will respond to all successful applicants ASAP however, please be advised that we will always look to contact you further from this time should we need further applicants or if other opportunities arise relevant to your skillset. Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. As part of our standard hiring process to manage risk, please note background screening checks will be conducted on all hires before commencing employment. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.
Jun 23, 2026
Contractor
Platform Modernisation Lead (Contract) Duration: Up until 31 March 2026 (Possibility for extension) Location: London/Hybrid (3 days per week on site) Rate: A highly competitive Umbrella Day Rate is available for suitable candidates Role Overview As the Platform Modernisation Lead, you will take ownership of designing and implementing our hybrid multi-cloud container platform, ensuring it is production-ready at scale. You will be a key player in the ITSD Architecture & Engineering organisation, responsible for integrating our platform with corporate governance processes, standards, and tooling. This role demands strong leadership and a strategic mindset as you define and embed our cloud operating model, aligning it with change and release management, observability, monitoring, alerting, and support processes. Key Responsibilities: Lead the design and implementation of a hybrid multi-cloud container platform across Azure, AWS, and GCP. Ensure seamless integration between the platform and corporate governance processes, standards, and tooling. Define and embed a robust cloud operating model that aligns with organisational change and release management. Develop observability, monitoring, and alerting strategies to ensure operational excellence. Maintain end-to-end accountability for platform production readiness, ensuring it meets enterprise standards. Support and enable the migration of legacy applications to the cloud, contributing to broader cloud adoption initiatives. Collaborate with cross-functional teams to ensure operational readiness, resilience, and effective integration into live service support models. Skills & Experience: Proven experience in leading hybrid/multi-cloud platform initiatives. Strong expertise in container technologies (e.g., Kubernetes, OpenShift). Extensive knowledge of enterprise governance integration within a regulated environment, preferably in financial services. Demonstrated experience operating at a senior level, with a track record of successfully managing complex projects. Familiarity with production infrastructure support and production application support environments. Excellent communication skills, with the ability to engage and influence stakeholders at all levels. Candidates will need to show evidence of the above in their CV in order to be considered. If you feel you have the skills and experience and want to hear more about this role 'apply now' to declare your interest in this opportunity with our client. Your application will be observed by our dedicated team. We will respond to all successful applicants ASAP however, please be advised that we will always look to contact you further from this time should we need further applicants or if other opportunities arise relevant to your skillset. Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. As part of our standard hiring process to manage risk, please note background screening checks will be conducted on all hires before commencing employment. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.
Senior AI Engineer (Gen AI & RAG) Greater London, England, United Kingdom (On-site) Join an award-winning, internationally recognised B2B Consultancy as a Senior AI Engineer, where you will play a central role in delivering and evolving production-grade generative 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 that effectively leverage proprietary and domain-specific content. Develop agentic and workflow-driven AI patterns with a strong emphasis on determinism, quality, and long-term maintainability. Apply model adaptation techniques - prompting, fine-tuning, distillation - to optimise for quality, latency, and cost efficiency. Drive strong experimentation and evaluation practices, measuring correctness, faithfulness, and robustness across AI outputs. Provide hands-on technical leadership, mentoring engineers and contributing meaningful code-level guidance 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 proficiency for production-grade AI development, with hands-on experience across LlamaIndex, LangChain, and LangGraph. Proven track record building Retrieval-Augmented Generation (RAG) systems; Graph-RAG exposure is a distinct advantage. Practical experience with model adaptation techniques including prompting, fine-tuning, instruction tuning, or knowledge distillation. Solid grounding in evaluation and experimentation methodology for generative AI, with a focus on correctness, faithfulness, and robustness. Demonstrable experience owning the technical design and delivery of complex AI, ML, or data-driven systems in live production environments. A background operating at senior engineer or technical lead level - comfortable balancing rapid experimentation with disciplined production delivery, and communicating with clarity across technical and non-technical stakeholders. 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.
Jun 21, 2026
Full time
Senior AI Engineer (Gen AI & RAG) Greater London, England, United Kingdom (On-site) Join an award-winning, internationally recognised B2B Consultancy as a Senior AI Engineer, where you will play a central role in delivering and evolving production-grade generative 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 that effectively leverage proprietary and domain-specific content. Develop agentic and workflow-driven AI patterns with a strong emphasis on determinism, quality, and long-term maintainability. Apply model adaptation techniques - prompting, fine-tuning, distillation - to optimise for quality, latency, and cost efficiency. Drive strong experimentation and evaluation practices, measuring correctness, faithfulness, and robustness across AI outputs. Provide hands-on technical leadership, mentoring engineers and contributing meaningful code-level guidance 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 proficiency for production-grade AI development, with hands-on experience across LlamaIndex, LangChain, and LangGraph. Proven track record building Retrieval-Augmented Generation (RAG) systems; Graph-RAG exposure is a distinct advantage. Practical experience with model adaptation techniques including prompting, fine-tuning, instruction tuning, or knowledge distillation. Solid grounding in evaluation and experimentation methodology for generative AI, with a focus on correctness, faithfulness, and robustness. Demonstrable experience owning the technical design and delivery of complex AI, ML, or data-driven systems in live production environments. A background operating at senior engineer or technical lead level - comfortable balancing rapid experimentation with disciplined production delivery, and communicating with clarity across technical and non-technical stakeholders. 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.
Senior AI Engineer (LLMs, RAG & Agentic Systems) £75,000 - £90,000 London Hybrid An award-winning and highly innovative organisation is looking to hire a Senior AI Engineer to join a growing AI and Data Science function delivering cutting-edge AI products into production. This is an opportunity to work on genuinely impactful AI initiatives, developing and deploying large-scale AI applications that sit at the heart of the business. You'll be working on modern Generative AI use cases including Retrieval-Augmented Generation (RAG), agentic workflows, conversational AI, recommendation systems and intelligent automation solutions. Working alongside Data Scientists, Engineers and Product teams, you will take ownership of the full AI lifecycle, from requirements gathering and solution design through to deployment, optimisation and ongoing enhancement. The Role Design and develop production-grade AI applications using both traditional Machine Learning and Generative AI approaches Build and deploy RAG systems, LLM-powered applications and agentic workflows Develop scalable APIs, microservices and cloud-native AI solutions Work closely with business stakeholders to translate requirements into technical solutions Deploy and monitor AI solutions within modern cloud environments Drive best practice across MLOps, deployment, governance and model lifecycle management Collaborate with cross-functional engineering, product and analytics teams What We're Looking For Strong experience delivering Machine Learning solutions into production Hands-on experience with LLMs, RAG architectures and agentic AI workflows Experience with frameworks such as LangChain, LlamaIndex or similar Strong Python development skills Experience building APIs and microservices Knowledge of Docker, Kubernetes and cloud platforms Understanding of MLOps and production deployment practices Strong stakeholder management and communication skills Why Apply? Work on some of the most exciting AI projects currently being delivered in industry Strong executive sponsorship and investment in AI Opportunity to influence the future direction of AI products and platforms Hybrid working model Excellent benefits package including bonus, pension and private healthcare Genuine opportunity for career progression within a growing AI function Salary: £75,000 - £90,000 + Bonus + Benefits Location: London (Hybrid - 2 days per week onsite) Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates
Jun 20, 2026
Full time
Senior AI Engineer (LLMs, RAG & Agentic Systems) £75,000 - £90,000 London Hybrid An award-winning and highly innovative organisation is looking to hire a Senior AI Engineer to join a growing AI and Data Science function delivering cutting-edge AI products into production. This is an opportunity to work on genuinely impactful AI initiatives, developing and deploying large-scale AI applications that sit at the heart of the business. You'll be working on modern Generative AI use cases including Retrieval-Augmented Generation (RAG), agentic workflows, conversational AI, recommendation systems and intelligent automation solutions. Working alongside Data Scientists, Engineers and Product teams, you will take ownership of the full AI lifecycle, from requirements gathering and solution design through to deployment, optimisation and ongoing enhancement. The Role Design and develop production-grade AI applications using both traditional Machine Learning and Generative AI approaches Build and deploy RAG systems, LLM-powered applications and agentic workflows Develop scalable APIs, microservices and cloud-native AI solutions Work closely with business stakeholders to translate requirements into technical solutions Deploy and monitor AI solutions within modern cloud environments Drive best practice across MLOps, deployment, governance and model lifecycle management Collaborate with cross-functional engineering, product and analytics teams What We're Looking For Strong experience delivering Machine Learning solutions into production Hands-on experience with LLMs, RAG architectures and agentic AI workflows Experience with frameworks such as LangChain, LlamaIndex or similar Strong Python development skills Experience building APIs and microservices Knowledge of Docker, Kubernetes and cloud platforms Understanding of MLOps and production deployment practices Strong stakeholder management and communication skills Why Apply? Work on some of the most exciting AI projects currently being delivered in industry Strong executive sponsorship and investment in AI Opportunity to influence the future direction of AI products and platforms Hybrid working model Excellent benefits package including bonus, pension and private healthcare Genuine opportunity for career progression within a growing AI function Salary: £75,000 - £90,000 + Bonus + Benefits Location: London (Hybrid - 2 days per week onsite) Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates
Senior AI Engineer (Gen AI & RAG) Greater London, England, United Kingdom (On-site) Join an award-winning, internationally recognised B2B Consultancy as a Senior AI Engineer, where you will play a central role in delivering and evolving production-grade generative 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 that effectively leverage proprietary and domain-specific content. Develop agentic and workflow-driven AI patterns with a strong emphasis on determinism, quality, and long-term maintainability. Apply model adaptation techniques - prompting, fine-tuning, distillation - to optimise for quality, latency, and cost efficiency. Drive strong experimentation and evaluation practices, measuring correctness, faithfulness, and robustness across AI outputs. Provide hands-on technical leadership, mentoring engineers and contributing meaningful code-level guidance 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 proficiency for production-grade AI development, with hands-on experience across LlamaIndex, LangChain, and LangGraph. Proven track record building Retrieval-Augmented Generation (RAG) systems; Graph-RAG exposure is a distinct advantage. Practical experience with model adaptation techniques including prompting, fine-tuning, instruction tuning, or knowledge distillation. Solid grounding in evaluation and experimentation methodology for generative AI, with a focus on correctness, faithfulness, and robustness. Demonstrable experience owning the technical design and delivery of complex AI, ML, or data-driven systems in live production environments. A background operating at senior engineer or technical lead level - comfortable balancing rapid experimentation with disciplined production delivery, and communicating with clarity across technical and non-technical stakeholders. 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.
Jun 20, 2026
Full time
Senior AI Engineer (Gen AI & RAG) Greater London, England, United Kingdom (On-site) Join an award-winning, internationally recognised B2B Consultancy as a Senior AI Engineer, where you will play a central role in delivering and evolving production-grade generative 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 that effectively leverage proprietary and domain-specific content. Develop agentic and workflow-driven AI patterns with a strong emphasis on determinism, quality, and long-term maintainability. Apply model adaptation techniques - prompting, fine-tuning, distillation - to optimise for quality, latency, and cost efficiency. Drive strong experimentation and evaluation practices, measuring correctness, faithfulness, and robustness across AI outputs. Provide hands-on technical leadership, mentoring engineers and contributing meaningful code-level guidance 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 proficiency for production-grade AI development, with hands-on experience across LlamaIndex, LangChain, and LangGraph. Proven track record building Retrieval-Augmented Generation (RAG) systems; Graph-RAG exposure is a distinct advantage. Practical experience with model adaptation techniques including prompting, fine-tuning, instruction tuning, or knowledge distillation. Solid grounding in evaluation and experimentation methodology for generative AI, with a focus on correctness, faithfulness, and robustness. Demonstrable experience owning the technical design and delivery of complex AI, ML, or data-driven systems in live production environments. A background operating at senior engineer or technical lead level - comfortable balancing rapid experimentation with disciplined production delivery, and communicating with clarity across technical and non-technical stakeholders. 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.
Adecco is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. Are you an experienced Programme Director with a passion for driving transformation in the media landscape? Our client is looking for a dynamic individual to lead a multi-workstream retail media transformation programme. If you thrive on strategic oversight, stakeholder leadership, and delivering governance excellence, we want to hear from you! Role: Programme Director Duration: 16 Weeks (20-25 days engagement starting July 1st) Location: London (on site) Rate: 1000 - 1400 per day (Outside ir35) Role Overview: This is not a full-time role, 20 to 25 days engagement over a 16-week period In this pivotal role, you will act as the senior engagement lead and primary point of contact for Adecco Outsourcing. Your mission? To steer the transformation programme for our Client with precision and enthusiasm! You will be the public face of the programme, building robust client relationships, driving stakeholder confidence, and ensuring executive alignment. Key Responsibilities: Be the primary client-facing lead and executive point of contact on behalf of Adecco Outsourcing. Provide strategic leadership across the entire transformation programme. Lead executive stakeholder engagement, steering committees, and governance forums. Represent Adecco in all senior client interactions and programme discussions. Oversee delivery across multiple workstreams and consulting teams. Ensure alignment between business, operational, technology, and data initiatives. Drive stakeholder confidence and maintain strong executive relationships throughout the programme lifecycle. Manage programme risks, dependencies, escalations, and strategic decision points. Deliver against agreed milestones, outcomes, and commercial objectives. Support commercial governance, programme reporting, and client relationship management. Ensure programme outputs align with strategic business priorities and transformation objectives. Required Experience: Significant experience leading enterprise transformation programmes. Strong consulting, client engagement, and stakeholder management background. Proven experience acting as the senior client-facing lead within consulting or transformation engagements. Experience overseeing multi-disciplinary transformation teams. Proven track record delivering operating model and business transformation initiatives. Strong governance, commercial awareness, and programme leadership capability. Excellent executive communication and stakeholder management skills. Preferred Experience: Familiarity with retail, media, retail media, martech, or customer data transformation. Experience within consulting-led or advisory engagements. Exposure to enterprise architecture and operating model transformation programmes. Experience working within complex enterprise stakeholder environments. Why Join Us? Engage with leading experts in the media industry and make a tangible impact! Work in a flexible, dynamic environment that fosters collaboration and innovation. Be a part of an exciting transformation journey that will challenge and inspire you. If you're ready to take on this exciting challenge and lead a transformative programme with enthusiasm and expertise, we'd love to hear from you! Apply now and be a part of something great! Apply Today! Please answer the Screening Questions when applying. Let's shape the future of retail media together! Candidates will ideally show evidence of the above in their CV to be considered. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.
Jun 20, 2026
Contractor
Adecco is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. Are you an experienced Programme Director with a passion for driving transformation in the media landscape? Our client is looking for a dynamic individual to lead a multi-workstream retail media transformation programme. If you thrive on strategic oversight, stakeholder leadership, and delivering governance excellence, we want to hear from you! Role: Programme Director Duration: 16 Weeks (20-25 days engagement starting July 1st) Location: London (on site) Rate: 1000 - 1400 per day (Outside ir35) Role Overview: This is not a full-time role, 20 to 25 days engagement over a 16-week period In this pivotal role, you will act as the senior engagement lead and primary point of contact for Adecco Outsourcing. Your mission? To steer the transformation programme for our Client with precision and enthusiasm! You will be the public face of the programme, building robust client relationships, driving stakeholder confidence, and ensuring executive alignment. Key Responsibilities: Be the primary client-facing lead and executive point of contact on behalf of Adecco Outsourcing. Provide strategic leadership across the entire transformation programme. Lead executive stakeholder engagement, steering committees, and governance forums. Represent Adecco in all senior client interactions and programme discussions. Oversee delivery across multiple workstreams and consulting teams. Ensure alignment between business, operational, technology, and data initiatives. Drive stakeholder confidence and maintain strong executive relationships throughout the programme lifecycle. Manage programme risks, dependencies, escalations, and strategic decision points. Deliver against agreed milestones, outcomes, and commercial objectives. Support commercial governance, programme reporting, and client relationship management. Ensure programme outputs align with strategic business priorities and transformation objectives. Required Experience: Significant experience leading enterprise transformation programmes. Strong consulting, client engagement, and stakeholder management background. Proven experience acting as the senior client-facing lead within consulting or transformation engagements. Experience overseeing multi-disciplinary transformation teams. Proven track record delivering operating model and business transformation initiatives. Strong governance, commercial awareness, and programme leadership capability. Excellent executive communication and stakeholder management skills. Preferred Experience: Familiarity with retail, media, retail media, martech, or customer data transformation. Experience within consulting-led or advisory engagements. Exposure to enterprise architecture and operating model transformation programmes. Experience working within complex enterprise stakeholder environments. Why Join Us? Engage with leading experts in the media industry and make a tangible impact! Work in a flexible, dynamic environment that fosters collaboration and innovation. Be a part of an exciting transformation journey that will challenge and inspire you. If you're ready to take on this exciting challenge and lead a transformative programme with enthusiasm and expertise, we'd love to hear from you! Apply now and be a part of something great! Apply Today! Please answer the Screening Questions when applying. Let's shape the future of retail media together! Candidates will ideally show evidence of the above in their CV to be considered. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.
An opportunity has arisen for an AI Security Architect to join a well-established health research organisation and charity that supports large-scale medical research to improve disease prevention, diagnosis and treatment. As an AI Security Architect, you will design and implement security frameworks, controls and secure operating models that enable the safe deployment and use of AI solutions across complex business environments. This is a 6-month contract role, working remotely with occasional office visits in London, offering a competitive salary (Inside IR35) and benefits. Visa sponsorship is not available. You will be responsible for Conducting security assessments of AI solutions, including threat modelling Developing governance frameworks, security standards, and best practice for AI adoption Designing controls for identity, access management, auditability, and human oversight Supporting implementation of security guardrails for AI, generative AI, and agent-based systems Defining secure integration patterns between AI platforms and enterprise systems Identifying and mitigating AI-specific threats (e.g. prompt injection, jailbreaks, data leakage, poisoning, model extraction/inversion) Collaborating with security, technology, and business teams to balance innovation with security Providing guidance and knowledge transfer on AI security principles and emerging risks Producing clear documentation, standards, and operational guidance What we are looking for Proven experience in a senior AI Security, Security Architecture, Cyber Security Architecture, Cloud Security Architecture, or Application Security role Hands-on experience securing AI, Generative AI, LLM, or agent-based environments in complex organisations Strong understanding of AI technologies and their business application Experience designing AI security controls, governance frameworks, secure workflows, and integration patterns Knowledge of AI threats and vulnerabilities (e.g. prompt injection, jailbreaks, data leakage, poisoning, model extraction/inversion) Strong background in security architecture, IAM, Zero Trust, audit controls, and secure integration Experience in threat modelling and security reviews across complex environments Practical, delivery-focused mindset with ability to enable innovation securely Must have right to work in the UK This is an excellent opportunity for an AI security Architect where you can make a meaningful impact on the safe and effective adoption of emerging technologies. Similar titles: AI Security Architect, Security Architect, Security Lead, Solutions Architect, Cyber Security Architect, Security Architect, AI Security Consultant, Cloud Security Architect, Cyber Security Consultant Important Information: We endeavour to process your personal data in a fair and transparent manner. In applying for this role, Additional Resources will be acting in your best interest and may contact you in relation to the role, either by email, phone or text message. For more information see our Privacy Policy on our website. It is important you are aware of your individual rights and the provisions the company has put in place to protect your data. If you would like further information on the policy or GDPR please contact us. Additional Resources Ltd is an Employment Business and an Employment Agency as defined within The Conduct of Employment Agencies & Employment Businesses Regulations 2003.
Jun 20, 2026
Contractor
An opportunity has arisen for an AI Security Architect to join a well-established health research organisation and charity that supports large-scale medical research to improve disease prevention, diagnosis and treatment. As an AI Security Architect, you will design and implement security frameworks, controls and secure operating models that enable the safe deployment and use of AI solutions across complex business environments. This is a 6-month contract role, working remotely with occasional office visits in London, offering a competitive salary (Inside IR35) and benefits. Visa sponsorship is not available. You will be responsible for Conducting security assessments of AI solutions, including threat modelling Developing governance frameworks, security standards, and best practice for AI adoption Designing controls for identity, access management, auditability, and human oversight Supporting implementation of security guardrails for AI, generative AI, and agent-based systems Defining secure integration patterns between AI platforms and enterprise systems Identifying and mitigating AI-specific threats (e.g. prompt injection, jailbreaks, data leakage, poisoning, model extraction/inversion) Collaborating with security, technology, and business teams to balance innovation with security Providing guidance and knowledge transfer on AI security principles and emerging risks Producing clear documentation, standards, and operational guidance What we are looking for Proven experience in a senior AI Security, Security Architecture, Cyber Security Architecture, Cloud Security Architecture, or Application Security role Hands-on experience securing AI, Generative AI, LLM, or agent-based environments in complex organisations Strong understanding of AI technologies and their business application Experience designing AI security controls, governance frameworks, secure workflows, and integration patterns Knowledge of AI threats and vulnerabilities (e.g. prompt injection, jailbreaks, data leakage, poisoning, model extraction/inversion) Strong background in security architecture, IAM, Zero Trust, audit controls, and secure integration Experience in threat modelling and security reviews across complex environments Practical, delivery-focused mindset with ability to enable innovation securely Must have right to work in the UK This is an excellent opportunity for an AI security Architect where you can make a meaningful impact on the safe and effective adoption of emerging technologies. Similar titles: AI Security Architect, Security Architect, Security Lead, Solutions Architect, Cyber Security Architect, Security Architect, AI Security Consultant, Cloud Security Architect, Cyber Security Consultant Important Information: We endeavour to process your personal data in a fair and transparent manner. In applying for this role, Additional Resources will be acting in your best interest and may contact you in relation to the role, either by email, phone or text message. For more information see our Privacy Policy on our website. It is important you are aware of your individual rights and the provisions the company has put in place to protect your data. If you would like further information on the policy or GDPR please contact us. Additional Resources Ltd is an Employment Business and an Employment Agency as defined within The Conduct of Employment Agencies & Employment Businesses Regulations 2003.
Senior Data Engineer (Contract) Duration: 6 Months (Possibility for extension) Location: London/Hybrid (3 days per week on site) Rate: A highly competitive Umbrella Day Rate is available for suitable candidates Role Profile We are seeking a highly skilled Senior Data Engineer with strong expertise in Python and Databricks to design, build, and optimise scalable data pipelines and platforms. You will play a key role in enabling data-driven decision-making by delivering reliable, efficient, and high-quality data solutions. Key Responsibilities Design, develop, and maintain scalable data pipelines using Python and Databricks Build and optimise ETL/ELT workflows leveraging Databricks (Spark, Delta Lake) Develop robust data models and data architectures on Lakehouse platforms Implement and manage data workflows within the Databricks ecosystem Ensure high data quality, governance, and reliability across pipelines Optimise performance of large-scale distributed data processing Collaborate with data scientists and analysts to support analytics and ML Implement monitoring, logging, and alerting for data systems Mentor junior engineers and drive engineering best practices Skills & Experience Extensive experience in data engineering Strong programming expertise in Python Hands-on experience with Databricks (workflows, notebooks, jobs, Delta Lake) Strong experience with Apache Spark / PySpark Experience building scalable ETL pipelines Proficiency in SQL and relational databases Experience with cloud platforms (AWS / Azure / GCP) Experience with modern data warehousing solutions (e.g., Snowflake, BigQuery, Redshift) Familiarity with orchestration tools (e.g., Airflow, Databricks Workflows) Strong understanding of data modelling and lakehouse architecture Databricks certifications (e.g., Databricks Certified Data Engineer) Experience with streaming data pipelines (Kafka, Structured Streaming) Experience with CI/CD and DevOps practices Knowledge of Delta Lake features (time travel, CDC, optimisation) Experience with containerisation (Docker, Kubernetes) Exposure to ML pipelines on Databricks Candidates will need to show evidence of the above in their CV in order to be considered. If you feel you have the skills and experience and want to hear more about this role 'apply now' to declare your interest in this opportunity with our client. Your application will be observed by our dedicated team. We will respond to all successful applicants ASAP however, please be advised that we will always look to contact you further from this time should we need further applicants or if other opportunities arise relevant to your skillset. Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. As part of our standard hiring process to manage risk, please note background screening checks will be conducted on all hires before commencing employment. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.
Jun 19, 2026
Contractor
Senior Data Engineer (Contract) Duration: 6 Months (Possibility for extension) Location: London/Hybrid (3 days per week on site) Rate: A highly competitive Umbrella Day Rate is available for suitable candidates Role Profile We are seeking a highly skilled Senior Data Engineer with strong expertise in Python and Databricks to design, build, and optimise scalable data pipelines and platforms. You will play a key role in enabling data-driven decision-making by delivering reliable, efficient, and high-quality data solutions. Key Responsibilities Design, develop, and maintain scalable data pipelines using Python and Databricks Build and optimise ETL/ELT workflows leveraging Databricks (Spark, Delta Lake) Develop robust data models and data architectures on Lakehouse platforms Implement and manage data workflows within the Databricks ecosystem Ensure high data quality, governance, and reliability across pipelines Optimise performance of large-scale distributed data processing Collaborate with data scientists and analysts to support analytics and ML Implement monitoring, logging, and alerting for data systems Mentor junior engineers and drive engineering best practices Skills & Experience Extensive experience in data engineering Strong programming expertise in Python Hands-on experience with Databricks (workflows, notebooks, jobs, Delta Lake) Strong experience with Apache Spark / PySpark Experience building scalable ETL pipelines Proficiency in SQL and relational databases Experience with cloud platforms (AWS / Azure / GCP) Experience with modern data warehousing solutions (e.g., Snowflake, BigQuery, Redshift) Familiarity with orchestration tools (e.g., Airflow, Databricks Workflows) Strong understanding of data modelling and lakehouse architecture Databricks certifications (e.g., Databricks Certified Data Engineer) Experience with streaming data pipelines (Kafka, Structured Streaming) Experience with CI/CD and DevOps practices Knowledge of Delta Lake features (time travel, CDC, optimisation) Experience with containerisation (Docker, Kubernetes) Exposure to ML pipelines on Databricks Candidates will need to show evidence of the above in their CV in order to be considered. If you feel you have the skills and experience and want to hear more about this role 'apply now' to declare your interest in this opportunity with our client. Your application will be observed by our dedicated team. We will respond to all successful applicants ASAP however, please be advised that we will always look to contact you further from this time should we need further applicants or if other opportunities arise relevant to your skillset. Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. As part of our standard hiring process to manage risk, please note background screening checks will be conducted on all hires before commencing employment. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.
Job title: Senior Generative AI Architect Location: London, UK Work mode: Hybrid Skills: AI/ML architecture; AI frameworks; AI models & solutions; cloud platforms (e.g., AWS, Azure, Google Cloud) and programming languages such as Python, Java, or C++. We at Coforge are looking for Senior Generative AI Architect in London, UK. Job Description : The Senior Generative AI Architect will be responsible for designing, developing, and implementing generative AI solutions that align with the company's strategic objectives. This role involves leading the architecture and deployment of advanced AI models, ensuring scalability, security, and ethical considerations are integrated into all AI initiatives. The ideal candidate will possess deep expertise in generative AI technologies, a strong understanding of AI ethics, and the ability to collaborate effectively with cross-functional teams. Key Responsibilities : Architecture Design: Develop and maintain the architectural framework for generative AI solutions, ensuring alignment with business goals and technical standards. Model Development: Lead the design, training, and deployment of generative AI models (e.g., GPT, DALL-E, Stable Diffusion) tailored to various applications such as content generation, data synthesis, and automation. Integration: Collaborate with software engineering teams to integrate generative AI capabilities into existing systems and workflows. Scalability & Performance: Ensure AI solutions are scalable, efficient, and optimized for performance across different platforms and environments. Ethical AI Practices: Implement and enforce ethical guidelines for AI development and deployment, addressing issues such as bias, fairness, and transparency. Research & Innovation: Stay abreast of the latest advancements in generative AI and related fields, incorporating new techniques and tools into the company's AI strategy. Collaboration: Work closely with data scientists, engineers, product managers, and other stakeholders to identify opportunities for AI-driven solutions and ensure successful project delivery. Documentation & Standards: Create comprehensive documentation for AI architectures, processes, and best practices. Establish and maintain coding and architectural standards. Experience: Minimum of 7 years of experience in AI/ML architecture or a related role. Proven experience in designing and deploying generative AI models and solutions. Hands-on experience with AI frameworks and tools such as TensorFlow, PyTorch, Hugging Face, etc. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and deploying AI solutions in cloud environments. Technical Skills: Proficiency in programming languages such as Python, Java, or C++. Strong understanding of machine learning algorithms, deep learning
Jun 19, 2026
Full time
Job title: Senior Generative AI Architect Location: London, UK Work mode: Hybrid Skills: AI/ML architecture; AI frameworks; AI models & solutions; cloud platforms (e.g., AWS, Azure, Google Cloud) and programming languages such as Python, Java, or C++. We at Coforge are looking for Senior Generative AI Architect in London, UK. Job Description : The Senior Generative AI Architect will be responsible for designing, developing, and implementing generative AI solutions that align with the company's strategic objectives. This role involves leading the architecture and deployment of advanced AI models, ensuring scalability, security, and ethical considerations are integrated into all AI initiatives. The ideal candidate will possess deep expertise in generative AI technologies, a strong understanding of AI ethics, and the ability to collaborate effectively with cross-functional teams. Key Responsibilities : Architecture Design: Develop and maintain the architectural framework for generative AI solutions, ensuring alignment with business goals and technical standards. Model Development: Lead the design, training, and deployment of generative AI models (e.g., GPT, DALL-E, Stable Diffusion) tailored to various applications such as content generation, data synthesis, and automation. Integration: Collaborate with software engineering teams to integrate generative AI capabilities into existing systems and workflows. Scalability & Performance: Ensure AI solutions are scalable, efficient, and optimized for performance across different platforms and environments. Ethical AI Practices: Implement and enforce ethical guidelines for AI development and deployment, addressing issues such as bias, fairness, and transparency. Research & Innovation: Stay abreast of the latest advancements in generative AI and related fields, incorporating new techniques and tools into the company's AI strategy. Collaboration: Work closely with data scientists, engineers, product managers, and other stakeholders to identify opportunities for AI-driven solutions and ensure successful project delivery. Documentation & Standards: Create comprehensive documentation for AI architectures, processes, and best practices. Establish and maintain coding and architectural standards. Experience: Minimum of 7 years of experience in AI/ML architecture or a related role. Proven experience in designing and deploying generative AI models and solutions. Hands-on experience with AI frameworks and tools such as TensorFlow, PyTorch, Hugging Face, etc. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and deploying AI solutions in cloud environments. Technical Skills: Proficiency in programming languages such as Python, Java, or C++. Strong understanding of machine learning algorithms, deep learning
Senior Software Engineer, AI Location: London (Hybrid: 2 days in office, 3 days remote) Position Type: Permanent Are you a seasoned software engineer passionate about pushing the boundaries of what's possible with Generative AI? We are a leading global provider of financial information services, insights, data, and analytics. We are currently seeking a Senior Software Engineer, AI to join our team in London. In this role, you will drive high-impact AI initiatives, design production-ready generative AI platforms, and build scalable, enterprise-grade solutions that shape the future of global markets. What We Offer Transformative AI Impact: Design and deploy production-ready GenAI platforms, multi-agent systems, and intelligent automation that reshape products in real-time. Cutting-Edge Tech Stack: Experiment with the latest LLMs, architect RAG implementations, design sophisticated agentic systems, and develop Model Context Protocol (MCP) servers. Enterprise Scale: Build GenAI solutions across multiple business units while creating unified patterns and reusable component frameworks. Dynamic Culture: Work at the intersection of advanced engineering and product development within a collaborative, innovation-driven environment. We'll Count on You To Lead GenAI Development: Spearhead the creation of enterprise chatbot platforms, evaluation frameworks, agentic workflows, RAG architectures, and MCP implementations. Pioneer Innovation: Act as a hands-on engineer bridging the gap between research breakthroughs and production-ready capabilities to generate tangible business value. Build Robust Infrastructure: Develop enterprise-scale APIs (FastAPI) and architect comprehensive cloud-based AI infrastructure on AWS/Azure optimized for scalability and performance. Demonstrate Full-Stack Excellence: Apply your expertise across the entire technology stack to seamlessly integrate AI capabilities into user-facing products and backend systems. What You Need to Have Experience: 7+ years of professional experience designing, developing, and deploying production-grade applications, with 5+ years specifically in full-stack enterprise software engineering. Core Skills: Advanced Python programming with strong backend development capabilities. AI Expertise: Proven experience developing and deploying intelligent conversational AI systems using RAG architectures, Model Context Protocol (MCP), AI-enabled search, vector databases, and LLM integration. Frameworks: Hands-on experience building GenAI applications using LangChain and LangGraph (agent architecture design, state management, and graph-based workflow orchestration). ML & Cloud Ecosystems: Solid understanding of ML algorithms, FastAPI, PyTorch/TensorFlow, MLflow, MLOps practices, containerization (Docker, Kubernetes/AWS EKS), and cloud services (AWS Bedrock, SageMaker, Azure AI Search). Soft Skills: Excellent communication and collaboration skills, with the ability to translate complex technical concepts for diverse, cross-functional stakeholders. Randstad Technologies Ltd is a leading specialist recruitment business for the IT & Engineering industries. Please note that due to a high level of applications, we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.
Jun 19, 2026
Full time
Senior Software Engineer, AI Location: London (Hybrid: 2 days in office, 3 days remote) Position Type: Permanent Are you a seasoned software engineer passionate about pushing the boundaries of what's possible with Generative AI? We are a leading global provider of financial information services, insights, data, and analytics. We are currently seeking a Senior Software Engineer, AI to join our team in London. In this role, you will drive high-impact AI initiatives, design production-ready generative AI platforms, and build scalable, enterprise-grade solutions that shape the future of global markets. What We Offer Transformative AI Impact: Design and deploy production-ready GenAI platforms, multi-agent systems, and intelligent automation that reshape products in real-time. Cutting-Edge Tech Stack: Experiment with the latest LLMs, architect RAG implementations, design sophisticated agentic systems, and develop Model Context Protocol (MCP) servers. Enterprise Scale: Build GenAI solutions across multiple business units while creating unified patterns and reusable component frameworks. Dynamic Culture: Work at the intersection of advanced engineering and product development within a collaborative, innovation-driven environment. We'll Count on You To Lead GenAI Development: Spearhead the creation of enterprise chatbot platforms, evaluation frameworks, agentic workflows, RAG architectures, and MCP implementations. Pioneer Innovation: Act as a hands-on engineer bridging the gap between research breakthroughs and production-ready capabilities to generate tangible business value. Build Robust Infrastructure: Develop enterprise-scale APIs (FastAPI) and architect comprehensive cloud-based AI infrastructure on AWS/Azure optimized for scalability and performance. Demonstrate Full-Stack Excellence: Apply your expertise across the entire technology stack to seamlessly integrate AI capabilities into user-facing products and backend systems. What You Need to Have Experience: 7+ years of professional experience designing, developing, and deploying production-grade applications, with 5+ years specifically in full-stack enterprise software engineering. Core Skills: Advanced Python programming with strong backend development capabilities. AI Expertise: Proven experience developing and deploying intelligent conversational AI systems using RAG architectures, Model Context Protocol (MCP), AI-enabled search, vector databases, and LLM integration. Frameworks: Hands-on experience building GenAI applications using LangChain and LangGraph (agent architecture design, state management, and graph-based workflow orchestration). ML & Cloud Ecosystems: Solid understanding of ML algorithms, FastAPI, PyTorch/TensorFlow, MLflow, MLOps practices, containerization (Docker, Kubernetes/AWS EKS), and cloud services (AWS Bedrock, SageMaker, Azure AI Search). Soft Skills: Excellent communication and collaboration skills, with the ability to translate complex technical concepts for diverse, cross-functional stakeholders. Randstad Technologies Ltd is a leading specialist recruitment business for the IT & Engineering industries. Please note that due to a high level of applications, we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.
We are partnering with an established organisation currently investing significantly in its AI and generative search capabilities. They are looking to appoint a Senior AI Engineer to play a key role in designing and delivering production-grade AI systems focused on accuracy, scalability, and real-world impact. This position sits within a growing AI function and will focus heavily on Retrieval-Augmented Generation (RAG), agentic workflows, evaluation frameworks, and LLM optimisation. Key Responsibilities: Design and develop scalable RAG pipelines and generative AI workflows Build solutions using LangChain, LangGraph, and LlamaIndex Implement retrieval strategies including reranking, chunking, and retrieval fusion Develop agentic workflows with a focus on robustness and maintainability Contribute to experimentation, evaluation, and AI quality frameworks Support fine-tuning, instruction tuning, and model optimisation initiatives Mentor junior engineers and contribute to technical best practices Key Requirements: Strong Python engineering experience Commercial experience building production-grade AI/ML systems Hands-on experience with RAG architectures and LLM workflows Experience with LangChain, LangGraph, and/or Llama Index Understanding of evaluation methodologies for generative AI Experience working within scalable cloud environments (AWS preferred) Ability to operate in a senior or technical leadership capacity Desirable: Graph-RAG experience Databricks exposure Experience deploying customer-facing AI systems This is an excellent opportunity to join a forward-thinking organisation where AI is a genuine strategic priority and engineering quality is highly valued. 51752MS INDLON The Portfolio Group are acting on behalf of our client in recruiting for this position.
Jun 18, 2026
Full time
We are partnering with an established organisation currently investing significantly in its AI and generative search capabilities. They are looking to appoint a Senior AI Engineer to play a key role in designing and delivering production-grade AI systems focused on accuracy, scalability, and real-world impact. This position sits within a growing AI function and will focus heavily on Retrieval-Augmented Generation (RAG), agentic workflows, evaluation frameworks, and LLM optimisation. Key Responsibilities: Design and develop scalable RAG pipelines and generative AI workflows Build solutions using LangChain, LangGraph, and LlamaIndex Implement retrieval strategies including reranking, chunking, and retrieval fusion Develop agentic workflows with a focus on robustness and maintainability Contribute to experimentation, evaluation, and AI quality frameworks Support fine-tuning, instruction tuning, and model optimisation initiatives Mentor junior engineers and contribute to technical best practices Key Requirements: Strong Python engineering experience Commercial experience building production-grade AI/ML systems Hands-on experience with RAG architectures and LLM workflows Experience with LangChain, LangGraph, and/or Llama Index Understanding of evaluation methodologies for generative AI Experience working within scalable cloud environments (AWS preferred) Ability to operate in a senior or technical leadership capacity Desirable: Graph-RAG experience Databricks exposure Experience deploying customer-facing AI systems This is an excellent opportunity to join a forward-thinking organisation where AI is a genuine strategic priority and engineering quality is highly valued. 51752MS INDLON The Portfolio Group are acting on behalf of our client in recruiting for this position.
Software Engineer (AI & Full Stack) - Senior Consultant Salary: 60,000 - 70,000 pa + 4,000 Bonus plus benefits, perks and healthcare options Base locations: London, Manchester, Newcastle or Glasgow Job Type: Permanent Hybrid (2 days per week) Occasional travel to client site Overview: We're looking for a Software Engineer with strong frontend and backend development skills and experience with various GenAI frameworks to join a growing team delivering innovative AI-powered solutions for enterprise clients. This is an opportunity to work at the intersection of modern software engineering and Generative AI, building intelligent applications that solve real business challenges. You'll collaborate with senior stakeholders, architects, and engineering teams to design, develop, and scale production-ready solutions using the latest AI technologies and cloud-native engineering practices. Key Skills: AI & GenAI: LLMs, RAG, Agents, LangChain, LangGraph, CrewAI, Vercel AI SDK, OpenAI, Anthropic, Mistral, Llama. Full Stack Engineering: Python, TypeScript, React, APIs, Microservices, FastAPI. Cloud & DevOps: AWS/Azure, Docker, Kubernetes, Terraform, CI/CD. Data & Vector Search: PostgreSQL, MongoDB, Pinecone, Qdrant, ChromaDB, PGVector. Observability & Tooling: LangSmith, Langfuse, Git, GitHub, GitLab. Your Role: Collaborate with the team to develop GenAI proof-of-concepts (POCs) for clients using technologies like Retrieval-Augmented Generation (RAG) and intelligent agents. Scale existing POCs to production-ready solutions for customer use. Design and develop Full Stack applications for both GenAI and non-GenAI projects. Support the development of infrastructure to enable robust end-to-end solutions. Grow your skills by exploring and experimenting with emerging technologies, including GenAI. Your skills and experience: Backend Development: Experience in building microservices using either Python with FastAPI, or TypeScript with Express or equivalent Frontend Development: Experience in building React applications using TypeScript, leveraging frameworks such as Next.js or Vite. GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse, or similar. CI/CD: Experience with continuous integration and deployment tools such as GitLab, GitHub, or Jenkins. Vector Databases: Experience with and (but not limited to) ChromaDB, Pinecone, PGVector, MongoDB , Qdrant etc. NoSQL: Familiarity with NoSQL databases (e.g., MongoDB preferred). SQL: Experience working with SQL databases like PostgreSQL. Proficient in Git and version control platforms like GitHub, GitLab, etc. To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance. If you're ready to take the next step in your career and thrive in a fast-paced, innovative environment, we want to hear from you! Please send updated CV
Jun 18, 2026
Full time
Software Engineer (AI & Full Stack) - Senior Consultant Salary: 60,000 - 70,000 pa + 4,000 Bonus plus benefits, perks and healthcare options Base locations: London, Manchester, Newcastle or Glasgow Job Type: Permanent Hybrid (2 days per week) Occasional travel to client site Overview: We're looking for a Software Engineer with strong frontend and backend development skills and experience with various GenAI frameworks to join a growing team delivering innovative AI-powered solutions for enterprise clients. This is an opportunity to work at the intersection of modern software engineering and Generative AI, building intelligent applications that solve real business challenges. You'll collaborate with senior stakeholders, architects, and engineering teams to design, develop, and scale production-ready solutions using the latest AI technologies and cloud-native engineering practices. Key Skills: AI & GenAI: LLMs, RAG, Agents, LangChain, LangGraph, CrewAI, Vercel AI SDK, OpenAI, Anthropic, Mistral, Llama. Full Stack Engineering: Python, TypeScript, React, APIs, Microservices, FastAPI. Cloud & DevOps: AWS/Azure, Docker, Kubernetes, Terraform, CI/CD. Data & Vector Search: PostgreSQL, MongoDB, Pinecone, Qdrant, ChromaDB, PGVector. Observability & Tooling: LangSmith, Langfuse, Git, GitHub, GitLab. Your Role: Collaborate with the team to develop GenAI proof-of-concepts (POCs) for clients using technologies like Retrieval-Augmented Generation (RAG) and intelligent agents. Scale existing POCs to production-ready solutions for customer use. Design and develop Full Stack applications for both GenAI and non-GenAI projects. Support the development of infrastructure to enable robust end-to-end solutions. Grow your skills by exploring and experimenting with emerging technologies, including GenAI. Your skills and experience: Backend Development: Experience in building microservices using either Python with FastAPI, or TypeScript with Express or equivalent Frontend Development: Experience in building React applications using TypeScript, leveraging frameworks such as Next.js or Vite. GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse, or similar. CI/CD: Experience with continuous integration and deployment tools such as GitLab, GitHub, or Jenkins. Vector Databases: Experience with and (but not limited to) ChromaDB, Pinecone, PGVector, MongoDB , Qdrant etc. NoSQL: Familiarity with NoSQL databases (e.g., MongoDB preferred). SQL: Experience working with SQL databases like PostgreSQL. Proficient in Git and version control platforms like GitHub, GitLab, etc. To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance. If you're ready to take the next step in your career and thrive in a fast-paced, innovative environment, we want to hear from you! Please send updated CV
Software Engineer (AI & Full Stack) - Senior Consultant Salary: 60,000 - 70,000 pa + 4,000 Bonus plus benefits, perks and healthcare options Base locations: London, Manchester, Newcastle or Glasgow Job Type: Permanent Hybrid (2 days per week) Occasional travel to client site Overview: We're looking for a Software Engineer with strong frontend and backend development skills and experience with various GenAI frameworks to join a growing team delivering innovative AI-powered solutions for enterprise clients. This is an opportunity to work at the intersection of modern software engineering and Generative AI, building intelligent applications that solve real business challenges. You'll collaborate with senior stakeholders, architects, and engineering teams to design, develop, and scale production-ready solutions using the latest AI technologies and cloud-native engineering practices. Key Skills: AI & GenAI: LLMs, RAG, Agents, LangChain, LangGraph, CrewAI, Vercel AI SDK, OpenAI, Anthropic, Mistral, Llama. Full Stack Engineering: Python, TypeScript, React, APIs, Microservices, FastAPI. Cloud & DevOps: AWS/Azure, Docker, Kubernetes, Terraform, CI/CD. Data & Vector Search: PostgreSQL, MongoDB, Pinecone, Qdrant, ChromaDB, PGVector. Observability & Tooling: LangSmith, Langfuse, Git, GitHub, GitLab. Your Role: Collaborate with the team to develop GenAI proof-of-concepts (POCs) for clients using technologies like Retrieval-Augmented Generation (RAG) and intelligent agents. Scale existing POCs to production-ready solutions for customer use. Design and develop Full Stack applications for both GenAI and non-GenAI projects. Support the development of infrastructure to enable robust end-to-end solutions. Grow your skills by exploring and experimenting with emerging technologies, including GenAI. Your skills and experience: Backend Development: Experience in building microservices using either Python with FastAPI, or TypeScript with Express or equivalent Frontend Development: Experience in building React applications using TypeScript, leveraging frameworks such as Next.js or Vite. GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse, or similar. CI/CD: Experience with continuous integration and deployment tools such as GitLab, GitHub, or Jenkins. Vector Databases: Experience with and (but not limited to) ChromaDB, Pinecone, PGVector, MongoDB , Qdrant etc. NoSQL: Familiarity with NoSQL databases (e.g., MongoDB preferred). SQL: Experience working with SQL databases like PostgreSQL. Proficient in Git and version control platforms like GitHub, GitLab, etc. To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance. If you're ready to take the next step in your career and thrive in a fast-paced, innovative environment, we want to hear from you! Please send updated CV
Jun 18, 2026
Full time
Software Engineer (AI & Full Stack) - Senior Consultant Salary: 60,000 - 70,000 pa + 4,000 Bonus plus benefits, perks and healthcare options Base locations: London, Manchester, Newcastle or Glasgow Job Type: Permanent Hybrid (2 days per week) Occasional travel to client site Overview: We're looking for a Software Engineer with strong frontend and backend development skills and experience with various GenAI frameworks to join a growing team delivering innovative AI-powered solutions for enterprise clients. This is an opportunity to work at the intersection of modern software engineering and Generative AI, building intelligent applications that solve real business challenges. You'll collaborate with senior stakeholders, architects, and engineering teams to design, develop, and scale production-ready solutions using the latest AI technologies and cloud-native engineering practices. Key Skills: AI & GenAI: LLMs, RAG, Agents, LangChain, LangGraph, CrewAI, Vercel AI SDK, OpenAI, Anthropic, Mistral, Llama. Full Stack Engineering: Python, TypeScript, React, APIs, Microservices, FastAPI. Cloud & DevOps: AWS/Azure, Docker, Kubernetes, Terraform, CI/CD. Data & Vector Search: PostgreSQL, MongoDB, Pinecone, Qdrant, ChromaDB, PGVector. Observability & Tooling: LangSmith, Langfuse, Git, GitHub, GitLab. Your Role: Collaborate with the team to develop GenAI proof-of-concepts (POCs) for clients using technologies like Retrieval-Augmented Generation (RAG) and intelligent agents. Scale existing POCs to production-ready solutions for customer use. Design and develop Full Stack applications for both GenAI and non-GenAI projects. Support the development of infrastructure to enable robust end-to-end solutions. Grow your skills by exploring and experimenting with emerging technologies, including GenAI. Your skills and experience: Backend Development: Experience in building microservices using either Python with FastAPI, or TypeScript with Express or equivalent Frontend Development: Experience in building React applications using TypeScript, leveraging frameworks such as Next.js or Vite. GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse, or similar. CI/CD: Experience with continuous integration and deployment tools such as GitLab, GitHub, or Jenkins. Vector Databases: Experience with and (but not limited to) ChromaDB, Pinecone, PGVector, MongoDB , Qdrant etc. NoSQL: Familiarity with NoSQL databases (e.g., MongoDB preferred). SQL: Experience working with SQL databases like PostgreSQL. Proficient in Git and version control platforms like GitHub, GitLab, etc. To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance. If you're ready to take the next step in your career and thrive in a fast-paced, innovative environment, we want to hear from you! Please send updated CV
Software Engineer (AI & Full Stack) - Senior Consultant Salary: 60,000 - 70,000 pa + 4,000 Bonus plus benefits, perks and healthcare options Base locations: London, Manchester, Newcastle or Glasgow Job Type: Permanent Hybrid (2 days per week) Occasional travel to client site Overview: We're looking for a Software Engineer with strong frontend and backend development skills and experience with various GenAI frameworks to join a growing team delivering innovative AI-powered solutions for enterprise clients. This is an opportunity to work at the intersection of modern software engineering and Generative AI, building intelligent applications that solve real business challenges. You'll collaborate with senior stakeholders, architects, and engineering teams to design, develop, and scale production-ready solutions using the latest AI technologies and cloud-native engineering practices. Key Skills: AI & GenAI: LLMs, RAG, Agents, LangChain, LangGraph, CrewAI, Vercel AI SDK, OpenAI, Anthropic, Mistral, Llama. Full Stack Engineering: Python, TypeScript, React, APIs, Microservices, FastAPI. Cloud & DevOps: AWS/Azure, Docker, Kubernetes, Terraform, CI/CD. Data & Vector Search: PostgreSQL, MongoDB, Pinecone, Qdrant, ChromaDB, PGVector. Observability & Tooling: LangSmith, Langfuse, Git, GitHub, GitLab. Your Role: Collaborate with the team to develop GenAI proof-of-concepts (POCs) for clients using technologies like Retrieval-Augmented Generation (RAG) and intelligent agents. Scale existing POCs to production-ready solutions for customer use. Design and develop Full Stack applications for both GenAI and non-GenAI projects. Support the development of infrastructure to enable robust end-to-end solutions. Grow your skills by exploring and experimenting with emerging technologies, including GenAI. Your skills and experience: Backend Development: Experience in building microservices using either Python with FastAPI, or TypeScript with Express or equivalent Frontend Development: Experience in building React applications using TypeScript, leveraging frameworks such as Next.js or Vite. GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse, or similar. CI/CD: Experience with continuous integration and deployment tools such as GitLab, GitHub, or Jenkins. Vector Databases: Experience with and (but not limited to) ChromaDB, Pinecone, PGVector, MongoDB , Qdrant etc. NoSQL: Familiarity with NoSQL databases (e.g., MongoDB preferred). SQL: Experience working with SQL databases like PostgreSQL. Proficient in Git and version control platforms like GitHub, GitLab, etc. To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance. If you're ready to take the next step in your career and thrive in a fast-paced, innovative environment, we want to hear from you! Please send updated CV
Jun 18, 2026
Full time
Software Engineer (AI & Full Stack) - Senior Consultant Salary: 60,000 - 70,000 pa + 4,000 Bonus plus benefits, perks and healthcare options Base locations: London, Manchester, Newcastle or Glasgow Job Type: Permanent Hybrid (2 days per week) Occasional travel to client site Overview: We're looking for a Software Engineer with strong frontend and backend development skills and experience with various GenAI frameworks to join a growing team delivering innovative AI-powered solutions for enterprise clients. This is an opportunity to work at the intersection of modern software engineering and Generative AI, building intelligent applications that solve real business challenges. You'll collaborate with senior stakeholders, architects, and engineering teams to design, develop, and scale production-ready solutions using the latest AI technologies and cloud-native engineering practices. Key Skills: AI & GenAI: LLMs, RAG, Agents, LangChain, LangGraph, CrewAI, Vercel AI SDK, OpenAI, Anthropic, Mistral, Llama. Full Stack Engineering: Python, TypeScript, React, APIs, Microservices, FastAPI. Cloud & DevOps: AWS/Azure, Docker, Kubernetes, Terraform, CI/CD. Data & Vector Search: PostgreSQL, MongoDB, Pinecone, Qdrant, ChromaDB, PGVector. Observability & Tooling: LangSmith, Langfuse, Git, GitHub, GitLab. Your Role: Collaborate with the team to develop GenAI proof-of-concepts (POCs) for clients using technologies like Retrieval-Augmented Generation (RAG) and intelligent agents. Scale existing POCs to production-ready solutions for customer use. Design and develop Full Stack applications for both GenAI and non-GenAI projects. Support the development of infrastructure to enable robust end-to-end solutions. Grow your skills by exploring and experimenting with emerging technologies, including GenAI. Your skills and experience: Backend Development: Experience in building microservices using either Python with FastAPI, or TypeScript with Express or equivalent Frontend Development: Experience in building React applications using TypeScript, leveraging frameworks such as Next.js or Vite. GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse, or similar. CI/CD: Experience with continuous integration and deployment tools such as GitLab, GitHub, or Jenkins. Vector Databases: Experience with and (but not limited to) ChromaDB, Pinecone, PGVector, MongoDB , Qdrant etc. NoSQL: Familiarity with NoSQL databases (e.g., MongoDB preferred). SQL: Experience working with SQL databases like PostgreSQL. Proficient in Git and version control platforms like GitHub, GitLab, etc. To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance. If you're ready to take the next step in your career and thrive in a fast-paced, innovative environment, we want to hear from you! Please send updated CV
Contract Enterprise Architect (Adobe Experience Platform/ AEP) We're looking for a senior Enterprise Architect to drive high-impact digital transformation for Adobe's top-tier customers. You'll partner with C-suite, marketing, and technical leaders to shape future-state marketing architectures, unlock value from complex ecosystems, and bring "Art of the Possible" experiences to life What you'll do, as the Enterprise Architect (Adobe Experience Platform/ AEP) Lead architecture and strategy across enterprise marketing ecosystems Define future-state solutions spanning CDP, CRM, personalization, and analytics Translate complex technology into clear, compelling stories for senior stakeholders Diagnose challenges fast and deliver actionable digital roadmaps Support sales opportunities and drive measurable customer value What you bring, as the Enterprise Architect (Adobe Experience Platform/ AEP) Experience as an Architect/Principal Consultant in large-scale digital marketing environments Strong knowledge of martech stack (CDP, automation, CRM, media, insights) Hands-on expertise with enterprise platforms and APIs, cloud, and data architecture Excellent communication and storytelling skills Degree or equivalent experience in CS, Marketing, or related field Nice to have: Adobe certifications (AEP, RTCDP, Analytics, etc.) Experience building ROI-driven business cases Mobile app architecture (React Native/Flutter) Exposure to generative AI and revenue ownership Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates
Jun 18, 2026
Contractor
Contract Enterprise Architect (Adobe Experience Platform/ AEP) We're looking for a senior Enterprise Architect to drive high-impact digital transformation for Adobe's top-tier customers. You'll partner with C-suite, marketing, and technical leaders to shape future-state marketing architectures, unlock value from complex ecosystems, and bring "Art of the Possible" experiences to life What you'll do, as the Enterprise Architect (Adobe Experience Platform/ AEP) Lead architecture and strategy across enterprise marketing ecosystems Define future-state solutions spanning CDP, CRM, personalization, and analytics Translate complex technology into clear, compelling stories for senior stakeholders Diagnose challenges fast and deliver actionable digital roadmaps Support sales opportunities and drive measurable customer value What you bring, as the Enterprise Architect (Adobe Experience Platform/ AEP) Experience as an Architect/Principal Consultant in large-scale digital marketing environments Strong knowledge of martech stack (CDP, automation, CRM, media, insights) Hands-on expertise with enterprise platforms and APIs, cloud, and data architecture Excellent communication and storytelling skills Degree or equivalent experience in CS, Marketing, or related field Nice to have: Adobe certifications (AEP, RTCDP, Analytics, etc.) Experience building ROI-driven business cases Mobile app architecture (React Native/Flutter) Exposure to generative AI and revenue ownership Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates
Senior Backend Python Developer (Contract) Contract: Rolling 3-Month Contract Location: Fully Remote (UK Based Only) Rate: 300 per day IR35 Status: Outside IR35 Start Date: ASAP Please note: Applicants must be based in the UK. Sponsorship is not available for this position. The Opportunity We're working with a growing technology-driven organisation looking for a strong Senior Backend Python Developer to join their engineering team on an initial 3-month contract with a high likelihood of extension. This is a hands-on backend-focused role where you'll be responsible for designing, developing, and maintaining scalable services, APIs, and integrations that underpin critical business applications. You'll be working closely with architects, product teams, and fellow engineers to deliver high-quality solutions in a fast-paced Agile environment. The ideal candidate will be an experienced Python developer with a strong understanding of modern backend engineering principles, cloud-native development, and API design. Key Responsibilities Design, develop, and maintain scalable backend applications and services using Python Build and optimise RESTful APIs and microservices Develop integrations between internal and third-party systems Write clean, maintainable, and well-tested code Participate in technical design discussions and architectural decisions Troubleshoot, debug, and resolve complex technical issues Contribute to CI/CD pipelines and deployment processes Collaborate with product, engineering, and DevOps teams to deliver high-quality solutions Perform code reviews and champion engineering best practices Support ongoing improvements to performance, scalability, and security Required Skills & Experience Strong commercial experience developing backend applications using Python Experience building scalable APIs and distributed systems Strong understanding of software engineering best practices and design patterns Experience with relational databases such as PostgreSQL or MySQL Experience working with cloud platforms (AWS, Azure, or GCP) Familiarity with Docker and containerised deployments Experience with Git and collaborative development workflows Understanding of CI/CD pipelines and automated testing Experience working within Agile delivery environments Strong problem-solving and debugging skills Desirable Experience Experience with FastAPI, Django, or Flask Exposure to event-driven architectures and messaging technologies Experience building data-intensive applications Knowledge of infrastructure-as-code practices Bonus Skills Any commercial or personal experience with AI, Machine Learning, Generative AI, or Large Language Models (LLMs) would be highly beneficial, including: Integrating LLM APIs into applications Building AI-powered features or workflows Experience with OpenAI, Anthropic, Azure AI, LangChain, LlamaIndex, or similar technologies Retrieval-Augmented Generation (RAG) solutions AI agents and workflow automation What's on Offer 300 per day Fully remote working Outside IR35 engagement Rolling 3-month contract with extension potential Opportunity to work on modern technology and scalable systems Immediate interview and start process Please note: Candidates must be UK-based and have the unrestricted right to work in the UK. Sponsorship is not available.
Jun 17, 2026
Contractor
Senior Backend Python Developer (Contract) Contract: Rolling 3-Month Contract Location: Fully Remote (UK Based Only) Rate: 300 per day IR35 Status: Outside IR35 Start Date: ASAP Please note: Applicants must be based in the UK. Sponsorship is not available for this position. The Opportunity We're working with a growing technology-driven organisation looking for a strong Senior Backend Python Developer to join their engineering team on an initial 3-month contract with a high likelihood of extension. This is a hands-on backend-focused role where you'll be responsible for designing, developing, and maintaining scalable services, APIs, and integrations that underpin critical business applications. You'll be working closely with architects, product teams, and fellow engineers to deliver high-quality solutions in a fast-paced Agile environment. The ideal candidate will be an experienced Python developer with a strong understanding of modern backend engineering principles, cloud-native development, and API design. Key Responsibilities Design, develop, and maintain scalable backend applications and services using Python Build and optimise RESTful APIs and microservices Develop integrations between internal and third-party systems Write clean, maintainable, and well-tested code Participate in technical design discussions and architectural decisions Troubleshoot, debug, and resolve complex technical issues Contribute to CI/CD pipelines and deployment processes Collaborate with product, engineering, and DevOps teams to deliver high-quality solutions Perform code reviews and champion engineering best practices Support ongoing improvements to performance, scalability, and security Required Skills & Experience Strong commercial experience developing backend applications using Python Experience building scalable APIs and distributed systems Strong understanding of software engineering best practices and design patterns Experience with relational databases such as PostgreSQL or MySQL Experience working with cloud platforms (AWS, Azure, or GCP) Familiarity with Docker and containerised deployments Experience with Git and collaborative development workflows Understanding of CI/CD pipelines and automated testing Experience working within Agile delivery environments Strong problem-solving and debugging skills Desirable Experience Experience with FastAPI, Django, or Flask Exposure to event-driven architectures and messaging technologies Experience building data-intensive applications Knowledge of infrastructure-as-code practices Bonus Skills Any commercial or personal experience with AI, Machine Learning, Generative AI, or Large Language Models (LLMs) would be highly beneficial, including: Integrating LLM APIs into applications Building AI-powered features or workflows Experience with OpenAI, Anthropic, Azure AI, LangChain, LlamaIndex, or similar technologies Retrieval-Augmented Generation (RAG) solutions AI agents and workflow automation What's on Offer 300 per day Fully remote working Outside IR35 engagement Rolling 3-month contract with extension potential Opportunity to work on modern technology and scalable systems Immediate interview and start process Please note: Candidates must be UK-based and have the unrestricted right to work in the UK. Sponsorship is not available.
Senior Software Developer (Contract) Duration: Up until 31 March 2027 (Possibility for extension) Location: London/Hybrid (3 days per week on site) Rate: A highly competitive salary is available for suitable candidates Role Profile This role focus on the development and support of systems responsible for back-office integration and Repo trading workflows. The positions require strong technical skills, familiarity with trade lifecycle processes, and the ability to work across front to back teams to ensure accurate and timely data flows. Key Responsibilities: Develop and maintain applications that integrate Fixed Income and Repo trades with downstream back office, settlement, and risk systems. Support and enhance the Repo trading application, including trading workflow tools, reconciliations, and connectivity with internal and external platforms. Build and optimize C# services that ensure robust trade capture, enrichment, validation, and distribution. Collaborate with operations, trading desks, and technology teams to resolve workflow issues and identify functional improvements. Troubleshoot production issues, perform root cause analysis, and implement long term system enhancements. Participate in architectural discussions and contribute to decisions around system design, data models, and integration patterns. Skills & Experience: Strong C#/.NET development experience in Windows environments. Understanding of Repo markets and Fixed Income trade lifecycle processes. Experience with system integration, messaging technologies, and data transformation. Strong debugging and analytical skills. Ability to collaborate effectively with both technical and non-technical stakeholders. Candidates will need to show evidence of the above in their CV in order to be considered. If you feel you have the skills and experience and want to hear more about this role 'apply now' to declare your interest in this opportunity with our client. Your application will be observed by our dedicated team. We will respond to all successful applicants ASAP however, please be advised that we will always look to contact you further from this time should we need further applicants or if other opportunities arise relevant to your skillset. Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. As part of our standard hiring process to manage risk, please note background screening checks will be conducted on all hires before commencing employment. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.
Jun 16, 2026
Contractor
Senior Software Developer (Contract) Duration: Up until 31 March 2027 (Possibility for extension) Location: London/Hybrid (3 days per week on site) Rate: A highly competitive salary is available for suitable candidates Role Profile This role focus on the development and support of systems responsible for back-office integration and Repo trading workflows. The positions require strong technical skills, familiarity with trade lifecycle processes, and the ability to work across front to back teams to ensure accurate and timely data flows. Key Responsibilities: Develop and maintain applications that integrate Fixed Income and Repo trades with downstream back office, settlement, and risk systems. Support and enhance the Repo trading application, including trading workflow tools, reconciliations, and connectivity with internal and external platforms. Build and optimize C# services that ensure robust trade capture, enrichment, validation, and distribution. Collaborate with operations, trading desks, and technology teams to resolve workflow issues and identify functional improvements. Troubleshoot production issues, perform root cause analysis, and implement long term system enhancements. Participate in architectural discussions and contribute to decisions around system design, data models, and integration patterns. Skills & Experience: Strong C#/.NET development experience in Windows environments. Understanding of Repo markets and Fixed Income trade lifecycle processes. Experience with system integration, messaging technologies, and data transformation. Strong debugging and analytical skills. Ability to collaborate effectively with both technical and non-technical stakeholders. Candidates will need to show evidence of the above in their CV in order to be considered. If you feel you have the skills and experience and want to hear more about this role 'apply now' to declare your interest in this opportunity with our client. Your application will be observed by our dedicated team. We will respond to all successful applicants ASAP however, please be advised that we will always look to contact you further from this time should we need further applicants or if other opportunities arise relevant to your skillset. Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. As part of our standard hiring process to manage risk, please note background screening checks will be conducted on all hires before commencing employment. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.
Role Title: Senior Security AI Solution Architect/Consultant Duration: contract to run until 26/03/2026 Location: London, Hybrid/Flexible (Occasional travel to NW may be required) Rate: up to £671 p/d Umbrella inside IR35 Role purpose/summary Our client is looking for a Snr Security AI Solution Architect/Consultant To support and deliver secure AI solutions within financial services. The architect will shape strategy, design future-state architecture, and deliver practical security capabilities for AI adoption, ensuring compliance with evolving regulations and maintaining a strong security posture. Key Skills/requirements Assess "as-is" and "to-be" security architectures for AI Platforms, AI & GENAI Delivery Roadmaps. Share Security AI & GENAI Security Learnings & Subject Matter Expertise. Shape the short- & long-term AI Security Architecture Strategy incorporating regulation (EUAI Act), standards, framework & policy priorities. Develop architectural documentation for AI security initiatives. Support the delivery of the AI Security Architecture Strategy across both internal & external stakeholders to Security. Ensure there is a fit for purpose set of Functional and Non-Functional Requirements for project technology deliveries Provide hands-on delivery support where required. General "architect" responsibilities that they would also contribute to: Ensure there is a current Security Architecture defined and maintained for key domains (eg, Endpoint, Cloud, Network, etc.) which clearly outlines the security principles, requirements and capabilities required and how those are instantiated Ensure there is an architectural vision for all projects that at minimum has a component architecture and high-level business process defined (including the product owner and operational team) Ensure architecture artifacts allow to us to quickly answer and evidence routine regulatory queries and attestations Ensure there is a fit for purpose set of Functional and Non-Functional Requirements for project technology deliveries Map security tooling deployed in the estate (including non-standard environments and non-CISO managed technologies) to the capabilities it implements (not the set of product features - what is actually in use and operationalised) Ensure that projects have correctly aligned scope to Cyber Excellence Programmes and technology/platform strategy Provide input to and take ownership of relevant architectural artifacts that will be produced as part of Excellence Programme workstreams. Survey emerging threats and emerging technologies to identify opportunities for targeted innovation exercises such Proof of Value evaluations Produce patterns which outline solutions for commonly occurring business security needs and security service consumption Validate patterns are adopted by control domain solutions Support Security Consultants as required on complex engagements and provide architectural artifacts such as patterns and principles where necessary Essential Skills & Experience Proven experience as a Security Solution Architect Deep understanding of AI and Generative AI technologies. Deep understanding of AI and Generative AI Security Capabilities. Knowledge of infrastructure and cloud security (AWS; exposure to Azure, GCP, and on-premise environments also valuable). Areas of Knowledge/Skillset: Emergent Technology Governance Artificial Intelligence Data Security within AI Systems Machine Learning AI Operation Cyber recovery IT Infrastructure, Cloud Risk and Regulation Experience in financial services environments. Ability to work across both strategic (roadmaps, future planning) and tactical (delivery, hands-on execution) levels. Personable and collaborative approach, with the ability to engage stakeholders and "roll up sleeves" when needed. Desirable Skills: Experience with regulatory compliance in AI and security, especially EU AI Act. Previous work on securing AI models and platforms (model trust, data security, usage monitoring). AI & GenAI Architecture: Design and implementation of AI factories, pipelines, and modular platforms across regulated environments. GenAI System Design and Implementation: End to end delivery of AI and GenAI systems using modern architecture techniques including LLM optimisation, RAG and Agentic design. AI Risk Management & Governance: Development of bespoke risk frameworks, taxonomies, and AI control libraries tailored to MRM, CRO, and CDO functions. Responsible & Ethical AI: Integration of RAI principles into system design, controls, audit frameworks, and enterprise AI strategies. Cyber & Resilience in AI: Embedding threat modelling, adversarial robustness, data integrity, and continuity planning into AI solution architecture. AI Enablement & Delivery: End-to-end AI life cycle orchestration including readiness assessments, regulatory reviews, and business adoption. Emerging Technology Strategy: Digital responsibility, AI assurance, and horizon scanning for next-gen regulatory, legal, and societal risks. Experience liaising with senior stakeholders and external consultancies (PwC, Accenture, etc.) All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!
Oct 03, 2025
Contractor
Role Title: Senior Security AI Solution Architect/Consultant Duration: contract to run until 26/03/2026 Location: London, Hybrid/Flexible (Occasional travel to NW may be required) Rate: up to £671 p/d Umbrella inside IR35 Role purpose/summary Our client is looking for a Snr Security AI Solution Architect/Consultant To support and deliver secure AI solutions within financial services. The architect will shape strategy, design future-state architecture, and deliver practical security capabilities for AI adoption, ensuring compliance with evolving regulations and maintaining a strong security posture. Key Skills/requirements Assess "as-is" and "to-be" security architectures for AI Platforms, AI & GENAI Delivery Roadmaps. Share Security AI & GENAI Security Learnings & Subject Matter Expertise. Shape the short- & long-term AI Security Architecture Strategy incorporating regulation (EUAI Act), standards, framework & policy priorities. Develop architectural documentation for AI security initiatives. Support the delivery of the AI Security Architecture Strategy across both internal & external stakeholders to Security. Ensure there is a fit for purpose set of Functional and Non-Functional Requirements for project technology deliveries Provide hands-on delivery support where required. General "architect" responsibilities that they would also contribute to: Ensure there is a current Security Architecture defined and maintained for key domains (eg, Endpoint, Cloud, Network, etc.) which clearly outlines the security principles, requirements and capabilities required and how those are instantiated Ensure there is an architectural vision for all projects that at minimum has a component architecture and high-level business process defined (including the product owner and operational team) Ensure architecture artifacts allow to us to quickly answer and evidence routine regulatory queries and attestations Ensure there is a fit for purpose set of Functional and Non-Functional Requirements for project technology deliveries Map security tooling deployed in the estate (including non-standard environments and non-CISO managed technologies) to the capabilities it implements (not the set of product features - what is actually in use and operationalised) Ensure that projects have correctly aligned scope to Cyber Excellence Programmes and technology/platform strategy Provide input to and take ownership of relevant architectural artifacts that will be produced as part of Excellence Programme workstreams. Survey emerging threats and emerging technologies to identify opportunities for targeted innovation exercises such Proof of Value evaluations Produce patterns which outline solutions for commonly occurring business security needs and security service consumption Validate patterns are adopted by control domain solutions Support Security Consultants as required on complex engagements and provide architectural artifacts such as patterns and principles where necessary Essential Skills & Experience Proven experience as a Security Solution Architect Deep understanding of AI and Generative AI technologies. Deep understanding of AI and Generative AI Security Capabilities. Knowledge of infrastructure and cloud security (AWS; exposure to Azure, GCP, and on-premise environments also valuable). Areas of Knowledge/Skillset: Emergent Technology Governance Artificial Intelligence Data Security within AI Systems Machine Learning AI Operation Cyber recovery IT Infrastructure, Cloud Risk and Regulation Experience in financial services environments. Ability to work across both strategic (roadmaps, future planning) and tactical (delivery, hands-on execution) levels. Personable and collaborative approach, with the ability to engage stakeholders and "roll up sleeves" when needed. Desirable Skills: Experience with regulatory compliance in AI and security, especially EU AI Act. Previous work on securing AI models and platforms (model trust, data security, usage monitoring). AI & GenAI Architecture: Design and implementation of AI factories, pipelines, and modular platforms across regulated environments. GenAI System Design and Implementation: End to end delivery of AI and GenAI systems using modern architecture techniques including LLM optimisation, RAG and Agentic design. AI Risk Management & Governance: Development of bespoke risk frameworks, taxonomies, and AI control libraries tailored to MRM, CRO, and CDO functions. Responsible & Ethical AI: Integration of RAI principles into system design, controls, audit frameworks, and enterprise AI strategies. Cyber & Resilience in AI: Embedding threat modelling, adversarial robustness, data integrity, and continuity planning into AI solution architecture. AI Enablement & Delivery: End-to-end AI life cycle orchestration including readiness assessments, regulatory reviews, and business adoption. Emerging Technology Strategy: Digital responsibility, AI assurance, and horizon scanning for next-gen regulatory, legal, and societal risks. Experience liaising with senior stakeholders and external consultancies (PwC, Accenture, etc.) All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!
Director of AI Manchester (Office Based) Excellent Salary + Bonus + Benefits Are you a visionary AI leader ready to shape the future of enterprise AI; from strategic roadmap to hands-on implementation? Join a fast-scaling, international SaaS company that's transforming its industry through relentless innovation, advanced product development and investment in next-generation AI solutions. This is a rare, high-impact opportunity to define and drive the end-to-end AI agenda of a multi-award-winning business backed by a world-class leadership team. As Director of AI, you will own the company's AI vision - leading strategy development, technical execution, and operational scaling across Machine Learning, Generative AI, Large language Models and beyond. Your leadership will directly influence product innovation, operational excellence, and commercial success. Role Overview Define and drive the enterprise AI strategy - identifying opportunities for innovation, automation, and market differentiation using advanced AI/ML technologies. Own the full lifecycle of AI initiatives, from vision and roadmap to technical architecture, delivery, optimisation, and governance. Build and lead cross-functional AI teams, ensuring alignment between technical execution and strategic business goals. Evaluate emerging technologies (e.g. LLMs, RAG, vector search, knowledge graphs) and make evidence-based recommendations to stakeholders. Establish best practices for responsible AI development, including risk management, compliance, and explainability. Partner with senior leadership to integrate AI into core business functions and customer-facing products at speed and scale. What You Bring Proven leadership in delivering enterprise-scale AI strategies, ideally in a high-growth SaaS or technology-led environment. Strong academic or practical background in AI, ML, Data Science, Computer Science or a related STEM field. Demonstrated hands-on expertise in building and deploying advanced ML and Generative AI models in production (including RAG Architecture) Deep technical proficiency with LLMs, NLP, Python, SQL, and major AI/ML frameworks (e.g., PyTorch, TensorFlow). Strong understanding of AI engineering fundamentals including DevOps, CI/CD, MLOps, and DevSecOps. Experience building AI governance frameworks to address ethical risk, model accuracy, and regulatory compliance. Why Join? This is a career-defining opportunity to shape the AI strategy of a high-growth, global and entrepreneurial organisation. You'll work alongside a visionary leadership team and have the autonomy to innovate, influence, and scale AI solutions that have real-world commercial impact. Enjoy a highly competitive compensation package, including: Excellent base salary Generous performance-based bonus Private healthcare, pension scheme, and premium benefits A dynamic, innovation-first culture with real career progression DAI(phone number removed)AM INDAMS
Oct 02, 2025
Full time
Director of AI Manchester (Office Based) Excellent Salary + Bonus + Benefits Are you a visionary AI leader ready to shape the future of enterprise AI; from strategic roadmap to hands-on implementation? Join a fast-scaling, international SaaS company that's transforming its industry through relentless innovation, advanced product development and investment in next-generation AI solutions. This is a rare, high-impact opportunity to define and drive the end-to-end AI agenda of a multi-award-winning business backed by a world-class leadership team. As Director of AI, you will own the company's AI vision - leading strategy development, technical execution, and operational scaling across Machine Learning, Generative AI, Large language Models and beyond. Your leadership will directly influence product innovation, operational excellence, and commercial success. Role Overview Define and drive the enterprise AI strategy - identifying opportunities for innovation, automation, and market differentiation using advanced AI/ML technologies. Own the full lifecycle of AI initiatives, from vision and roadmap to technical architecture, delivery, optimisation, and governance. Build and lead cross-functional AI teams, ensuring alignment between technical execution and strategic business goals. Evaluate emerging technologies (e.g. LLMs, RAG, vector search, knowledge graphs) and make evidence-based recommendations to stakeholders. Establish best practices for responsible AI development, including risk management, compliance, and explainability. Partner with senior leadership to integrate AI into core business functions and customer-facing products at speed and scale. What You Bring Proven leadership in delivering enterprise-scale AI strategies, ideally in a high-growth SaaS or technology-led environment. Strong academic or practical background in AI, ML, Data Science, Computer Science or a related STEM field. Demonstrated hands-on expertise in building and deploying advanced ML and Generative AI models in production (including RAG Architecture) Deep technical proficiency with LLMs, NLP, Python, SQL, and major AI/ML frameworks (e.g., PyTorch, TensorFlow). Strong understanding of AI engineering fundamentals including DevOps, CI/CD, MLOps, and DevSecOps. Experience building AI governance frameworks to address ethical risk, model accuracy, and regulatory compliance. Why Join? This is a career-defining opportunity to shape the AI strategy of a high-growth, global and entrepreneurial organisation. You'll work alongside a visionary leadership team and have the autonomy to innovate, influence, and scale AI solutions that have real-world commercial impact. Enjoy a highly competitive compensation package, including: Excellent base salary Generous performance-based bonus Private healthcare, pension scheme, and premium benefits A dynamic, innovation-first culture with real career progression DAI(phone number removed)AM INDAMS
A leading Financial Services client is seeking an experienced Senior Data Engineer to join the business on a permanent basis and support a major data transformation. As a Senior Data Engineer, you'll design and deliver robust, automated ETL pipelines and database solutions that power business-critical insights. You'll use your advanced SQL skills to build and optimise data structures, alongside tools such as Snowflake, Azure, and Python. This is a high-impact role where you'll influence architecture, streamline processes, and drive automation across the data landscape. The role offers a base salary of £60,000 to £75,000 plus strong benefits and flexible working. Key Responsibilities: Design, build, and maintain automated ETL pipelines and high-performance database structures. Manage and enhance a Snowflake ecosystem for streaming and batch workflows. Support the adoption of Generative AI (GenAI) and lead platform innovation with Snowflake and Microsoft technologies. Skills & Experience: Advanced SQL skills (DDL, DML, query optimisation) with a track record of building efficient, scalable database structures. Strong knowledge of automated ETL processes. Experience with Snowflake, Azure Data Factory, and Azure DevOps. Proficiency in Python for data engineering tasks. Agile delivery experience. Willingness to work with other modern data engineering toolsets. If you're an experienced Senior Data Engineer with the required skills, please apply today.
Oct 01, 2025
Full time
A leading Financial Services client is seeking an experienced Senior Data Engineer to join the business on a permanent basis and support a major data transformation. As a Senior Data Engineer, you'll design and deliver robust, automated ETL pipelines and database solutions that power business-critical insights. You'll use your advanced SQL skills to build and optimise data structures, alongside tools such as Snowflake, Azure, and Python. This is a high-impact role where you'll influence architecture, streamline processes, and drive automation across the data landscape. The role offers a base salary of £60,000 to £75,000 plus strong benefits and flexible working. Key Responsibilities: Design, build, and maintain automated ETL pipelines and high-performance database structures. Manage and enhance a Snowflake ecosystem for streaming and batch workflows. Support the adoption of Generative AI (GenAI) and lead platform innovation with Snowflake and Microsoft technologies. Skills & Experience: Advanced SQL skills (DDL, DML, query optimisation) with a track record of building efficient, scalable database structures. Strong knowledge of automated ETL processes. Experience with Snowflake, Azure Data Factory, and Azure DevOps. Proficiency in Python for data engineering tasks. Agile delivery experience. Willingness to work with other modern data engineering toolsets. If you're an experienced Senior Data Engineer with the required skills, please apply today.
Pharma GenAI Product Manager Location: London (hybrid working - ideally 1 - 2 days pw onsite)Contract End Date: December 31, 2025INSIDE IR35 via umbrella Are you passionate about the intersection of technology and healthcare? Our client, a leading organisation in the pharmaceutical sector, is seeking a dynamic Pharma GenAI Product Manager to join their team. This exciting opportunity is ideal for someone who thrives on solving complex business challenges and is eager to make a significant impact in the realm of Generative AI within the industry. Key Responsibilities: Consulting & Leadership: You will be accountable for addressing challenging business problems, providing value delivery leadership, and ensuring alignment with senior leaders and cross-functional teams, including Digital, Tech, and Commercial divisions at both global and regional levels. Workshops & Collaboration: Facilitate workshops and collaborative sessions, either independently or alongside approved vendors, to align on business needs, define use cases, and develop comprehensive implementation plans as part of the overall product roadmap. Product Delivery Improvement: Collaborate with a talented team, including software engineers, ML engineers, data engineers, and product owners, to conduct design reviews and critical feedback sessions aimed at enhancing product delivery. Stakeholder Partnership: Influence and partner with stakeholders across the insights & analytics space, as well as the broader Tech/Data science organisations, to contribute to the development of the data architecture and data/AI solution framework. Governance & Compliance: Ensure that all solutions comply with responsible AI governance processes and adhere to local legislation regarding data privacy and other regulatory standards. Basic Qualifications: A Master's Degree in a STEM field (e.g., MBA, Statistics, Data Science) or equivalent experience in Mathematics, Information Science, Computer Science, or related disciplines. Hands-on experience with Generative AI (GenAI) and a genuine enthusiasm for data-driven solutions. Strong pharma industry knowledge and experience. Proven experience in effective stakeholder management and strong influencing skills, including expertise in data visualisation and insights communication. You will play a crucial role in bridging the gap between technical teams and business stakeholders. Demonstrated experience in change management, showcasing your ability to lead and navigate through transformative projects. An initiative-driven mindset with the ability to exercise judgement and discretion while handling sensitive information. Join our client's mission to leverage Generative AI in the pharmaceutical landscape and make a difference in the lives of patients around the world. If you are ready to take on this exciting challenge, we encourage you to apply today! Application Process: Interested candidates are invited to submit their CV and a cover letter outlining their relevant experience and motivation for applying. We look forward to hearing from you! Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
Sep 27, 2025
Full time
Pharma GenAI Product Manager Location: London (hybrid working - ideally 1 - 2 days pw onsite)Contract End Date: December 31, 2025INSIDE IR35 via umbrella Are you passionate about the intersection of technology and healthcare? Our client, a leading organisation in the pharmaceutical sector, is seeking a dynamic Pharma GenAI Product Manager to join their team. This exciting opportunity is ideal for someone who thrives on solving complex business challenges and is eager to make a significant impact in the realm of Generative AI within the industry. Key Responsibilities: Consulting & Leadership: You will be accountable for addressing challenging business problems, providing value delivery leadership, and ensuring alignment with senior leaders and cross-functional teams, including Digital, Tech, and Commercial divisions at both global and regional levels. Workshops & Collaboration: Facilitate workshops and collaborative sessions, either independently or alongside approved vendors, to align on business needs, define use cases, and develop comprehensive implementation plans as part of the overall product roadmap. Product Delivery Improvement: Collaborate with a talented team, including software engineers, ML engineers, data engineers, and product owners, to conduct design reviews and critical feedback sessions aimed at enhancing product delivery. Stakeholder Partnership: Influence and partner with stakeholders across the insights & analytics space, as well as the broader Tech/Data science organisations, to contribute to the development of the data architecture and data/AI solution framework. Governance & Compliance: Ensure that all solutions comply with responsible AI governance processes and adhere to local legislation regarding data privacy and other regulatory standards. Basic Qualifications: A Master's Degree in a STEM field (e.g., MBA, Statistics, Data Science) or equivalent experience in Mathematics, Information Science, Computer Science, or related disciplines. Hands-on experience with Generative AI (GenAI) and a genuine enthusiasm for data-driven solutions. Strong pharma industry knowledge and experience. Proven experience in effective stakeholder management and strong influencing skills, including expertise in data visualisation and insights communication. You will play a crucial role in bridging the gap between technical teams and business stakeholders. Demonstrated experience in change management, showcasing your ability to lead and navigate through transformative projects. An initiative-driven mindset with the ability to exercise judgement and discretion while handling sensitive information. Join our client's mission to leverage Generative AI in the pharmaceutical landscape and make a difference in the lives of patients around the world. If you are ready to take on this exciting challenge, we encourage you to apply today! Application Process: Interested candidates are invited to submit their CV and a cover letter outlining their relevant experience and motivation for applying. We look forward to hearing from you! Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
