Senior AI Assurance Consultant London, Manchester or Glasgow / Hybrid 70k - 100k per annum + bonus & benefits Permanent Are you ready to help shape how organisations safely and responsibly adopt AI at enterprise scale? This is an exciting opportunity to join a leading AI Strategy team at the forefront of Generative AI, agentic AI, copilots and AI-enabled transformation . You'll combine strategic thinking, commercial awareness and deep AI risk expertise to help organisations move from AI ambition to responsible, scalable execution. You'll work on complex, high-impact challenges spanning AI assurance, governance, risk management and lifecycle management , helping organisations build trust in AI while unlocking its potential. What you'll be doing Define and deliver AI assurance: Design, implement and continuously improve AI assurance frameworks covering fairness, safety, transparency, explainability, privacy, security, robustness, accountability and regulatory compliance. Identify and assess AI risk: Lead AI risk, impact and control assessments, evaluating business, operational, ethical, legal, regulatory and societal risks, particularly in high-risk or regulated environments. Embed risk throughout the AI lifecycle: Integrate first-line AI risk management and assurance from use-case selection and design through development, testing, deployment, monitoring, change management and retirement. Build trusted AI solutions: Partner with product, engineering, data science, security, privacy, legal and compliance teams to ensure AI solutions align with risk appetite, governance requirements and regulatory expectations. Ensure ongoing AI performance: Establish requirements for monitoring, performance validation, drift detection, incident management and post-deployment assurance so AI systems remain effective, safe and compliant. Shape AI strategy and growth: Contribute to enterprise-wide AI transformation, solve complex strategic challenges and help grow the wider AI Strategy practice. What you'll bring Demonstrable experience in AI risk management and assurance , including model performance, transparency, explainability, accountability, privacy, security and regulatory compliance. Strong experience embedding AI governance, risk management and assurance across the end-to-end AI lifecycle . Proven ability to conduct AI risk assessments, impact assessments, control evaluations and assurance reviews , ideally within regulated or high-risk environments. Excellent stakeholder management skills, with the ability to translate complex technical and regulatory concepts into clear, practical, risk-based recommendations for technical, operational and executive audiences. Strong understanding of AI monitoring and observability , including performance validation, drift detection, incident management and post-deployment assurance. A genuine passion for responsible, safe and scalable AI adoption , combined with commercial acumen, curiosity, adaptability and the ability to remain effective in complex or high-pressure environments. Desirable: Experience across sectors such as Central Government, Defence, Manufacturing, Automotive, Life Sciences, Consumer Products & Retail or Financial Services; experience influencing cross-functional teams and operating in complex or highly regulated risk environments. If you've held any of these roles or used these technologies/skills, this role could be a great fit: AI Strategy Consultant, AI Strategy Lead, AI Risk Consultant, AI Risk Manager, AI Assurance Lead, AI Governance Consultant, Responsible AI Consultant, AI Governance Lead, AI Assurance, AI Risk Management, AI Governance, Generative AI, Agentic AI, AI Copilots, AI Lifecycle Management, AI Monitoring, AI Observability, Model Risk, Responsible AI, Risk & Control Assessments. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
Aug 21, 2026
Full time
Senior AI Assurance Consultant London, Manchester or Glasgow / Hybrid 70k - 100k per annum + bonus & benefits Permanent Are you ready to help shape how organisations safely and responsibly adopt AI at enterprise scale? This is an exciting opportunity to join a leading AI Strategy team at the forefront of Generative AI, agentic AI, copilots and AI-enabled transformation . You'll combine strategic thinking, commercial awareness and deep AI risk expertise to help organisations move from AI ambition to responsible, scalable execution. You'll work on complex, high-impact challenges spanning AI assurance, governance, risk management and lifecycle management , helping organisations build trust in AI while unlocking its potential. What you'll be doing Define and deliver AI assurance: Design, implement and continuously improve AI assurance frameworks covering fairness, safety, transparency, explainability, privacy, security, robustness, accountability and regulatory compliance. Identify and assess AI risk: Lead AI risk, impact and control assessments, evaluating business, operational, ethical, legal, regulatory and societal risks, particularly in high-risk or regulated environments. Embed risk throughout the AI lifecycle: Integrate first-line AI risk management and assurance from use-case selection and design through development, testing, deployment, monitoring, change management and retirement. Build trusted AI solutions: Partner with product, engineering, data science, security, privacy, legal and compliance teams to ensure AI solutions align with risk appetite, governance requirements and regulatory expectations. Ensure ongoing AI performance: Establish requirements for monitoring, performance validation, drift detection, incident management and post-deployment assurance so AI systems remain effective, safe and compliant. Shape AI strategy and growth: Contribute to enterprise-wide AI transformation, solve complex strategic challenges and help grow the wider AI Strategy practice. What you'll bring Demonstrable experience in AI risk management and assurance , including model performance, transparency, explainability, accountability, privacy, security and regulatory compliance. Strong experience embedding AI governance, risk management and assurance across the end-to-end AI lifecycle . Proven ability to conduct AI risk assessments, impact assessments, control evaluations and assurance reviews , ideally within regulated or high-risk environments. Excellent stakeholder management skills, with the ability to translate complex technical and regulatory concepts into clear, practical, risk-based recommendations for technical, operational and executive audiences. Strong understanding of AI monitoring and observability , including performance validation, drift detection, incident management and post-deployment assurance. A genuine passion for responsible, safe and scalable AI adoption , combined with commercial acumen, curiosity, adaptability and the ability to remain effective in complex or high-pressure environments. Desirable: Experience across sectors such as Central Government, Defence, Manufacturing, Automotive, Life Sciences, Consumer Products & Retail or Financial Services; experience influencing cross-functional teams and operating in complex or highly regulated risk environments. If you've held any of these roles or used these technologies/skills, this role could be a great fit: AI Strategy Consultant, AI Strategy Lead, AI Risk Consultant, AI Risk Manager, AI Assurance Lead, AI Governance Consultant, Responsible AI Consultant, AI Governance Lead, AI Assurance, AI Risk Management, AI Governance, Generative AI, Agentic AI, AI Copilots, AI Lifecycle Management, AI Monitoring, AI Observability, Model Risk, Responsible AI, Risk & Control Assessments. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
Senior AI Governance Manager London, Manchester or Glasgow (Hybrid) 100k - 120k per annum + bonus and benefits Artificial Intelligence is transforming every industry, but trust, governance and responsible adoption have never been more important. This is your opportunity to take on a high-impact leadership role where you'll help some of the UK's leading organisations build, govern and scale AI responsibly. You'll work at the forefront of AI Governance, advising senior leaders on how to implement safe, transparent and ethical AI while influencing the future direction of a growing specialist practice. If you're passionate about responsible AI, governance, strategy and helping organisations navigate an evolving regulatory landscape, this is a career-defining opportunity. What you'll be doing As a Senior Manager, you'll combine strategic consulting, client leadership and practice development to deliver meaningful change. You'll: Lead the design and delivery of AI governance strategies, translating regulatory, ethical and industry best practice into practical governance frameworks, policies, controls and operating models. Design and implement governance processes across the entire AI lifecycle, including development, deployment, monitoring and ongoing assurance, while embedding governance through culture, communication and training. Provide AI assurance expertise across AI, Generative AI and Agentic AI solutions, helping clients meet regulatory, ethical and industry standards. Build trusted relationships with senior stakeholders, influencing executive decision-making and ensuring governance is embedded across organisations. Provide thought leadership on emerging AI regulation, governance frameworks and industry trends, helping clients prepare for future developments. Contribute to business growth by leading proposals, supporting bids, developing client relationships and identifying new opportunities. Help shape and grow the AI Governance & Trust practice by developing new propositions, methodologies, tools and thought leadership. Mentor and develop colleagues, strengthening team capability and supporting the growth of a high-performing consulting practice. What we're looking for To succeed in this role, you'll bring a blend of consulting expertise, technical understanding and commercial leadership, including: Strong experience delivering AI governance, responsible AI or AI assurance programmes within a consulting environment. Deep understanding of AI governance, AI ethics, emerging regulation and industry standards, with the ability to translate these into practical frameworks and controls. Good understanding of how AI and data solutions are designed, developed, deployed and monitored across the full lifecycle. Excellent strategic thinking with the ability to solve complex governance challenges across people, process, technology and data. Outstanding communication and stakeholder management skills, with experience influencing senior executives and business leaders. A proven track record of leading client engagements, developing governance operating models and embedding organisational change through training and capability development. Experience identifying opportunities, winning new business, leading proposals and growing client accounts. Previous experience building, developing and mentoring high-performing consulting teams. Desirable: Experience with Generative AI, Agentic AI, emerging AI governance frameworks and developing thought leadership within the AI governance space. If you've held any of these roles or used these technologies/skills, this role could be a great fit: AI Governance Consultant, Responsible AI Consultant, AI Risk Manager, AI Assurance Manager, AI Ethics Consultant, AI Strategy Consultant, AI Compliance Manager, Data & AI Governance Lead, AI Policy Consultant, Technology Risk Consultant, Digital Trust Consultant, AI Transformation Consultant, Data Governance Manager, AI Operating Model, AI Controls, Responsible AI, AI Assurance, AI Ethics, AI Regulation, AI Risk, AI Governance Frameworks, Generative AI (GenAI), Agentic AI, Data Governance, Technology Consulting, Management Consulting, AI Strategy. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
Aug 21, 2026
Full time
Senior AI Governance Manager London, Manchester or Glasgow (Hybrid) 100k - 120k per annum + bonus and benefits Artificial Intelligence is transforming every industry, but trust, governance and responsible adoption have never been more important. This is your opportunity to take on a high-impact leadership role where you'll help some of the UK's leading organisations build, govern and scale AI responsibly. You'll work at the forefront of AI Governance, advising senior leaders on how to implement safe, transparent and ethical AI while influencing the future direction of a growing specialist practice. If you're passionate about responsible AI, governance, strategy and helping organisations navigate an evolving regulatory landscape, this is a career-defining opportunity. What you'll be doing As a Senior Manager, you'll combine strategic consulting, client leadership and practice development to deliver meaningful change. You'll: Lead the design and delivery of AI governance strategies, translating regulatory, ethical and industry best practice into practical governance frameworks, policies, controls and operating models. Design and implement governance processes across the entire AI lifecycle, including development, deployment, monitoring and ongoing assurance, while embedding governance through culture, communication and training. Provide AI assurance expertise across AI, Generative AI and Agentic AI solutions, helping clients meet regulatory, ethical and industry standards. Build trusted relationships with senior stakeholders, influencing executive decision-making and ensuring governance is embedded across organisations. Provide thought leadership on emerging AI regulation, governance frameworks and industry trends, helping clients prepare for future developments. Contribute to business growth by leading proposals, supporting bids, developing client relationships and identifying new opportunities. Help shape and grow the AI Governance & Trust practice by developing new propositions, methodologies, tools and thought leadership. Mentor and develop colleagues, strengthening team capability and supporting the growth of a high-performing consulting practice. What we're looking for To succeed in this role, you'll bring a blend of consulting expertise, technical understanding and commercial leadership, including: Strong experience delivering AI governance, responsible AI or AI assurance programmes within a consulting environment. Deep understanding of AI governance, AI ethics, emerging regulation and industry standards, with the ability to translate these into practical frameworks and controls. Good understanding of how AI and data solutions are designed, developed, deployed and monitored across the full lifecycle. Excellent strategic thinking with the ability to solve complex governance challenges across people, process, technology and data. Outstanding communication and stakeholder management skills, with experience influencing senior executives and business leaders. A proven track record of leading client engagements, developing governance operating models and embedding organisational change through training and capability development. Experience identifying opportunities, winning new business, leading proposals and growing client accounts. Previous experience building, developing and mentoring high-performing consulting teams. Desirable: Experience with Generative AI, Agentic AI, emerging AI governance frameworks and developing thought leadership within the AI governance space. If you've held any of these roles or used these technologies/skills, this role could be a great fit: AI Governance Consultant, Responsible AI Consultant, AI Risk Manager, AI Assurance Manager, AI Ethics Consultant, AI Strategy Consultant, AI Compliance Manager, Data & AI Governance Lead, AI Policy Consultant, Technology Risk Consultant, Digital Trust Consultant, AI Transformation Consultant, Data Governance Manager, AI Operating Model, AI Controls, Responsible AI, AI Assurance, AI Ethics, AI Regulation, AI Risk, AI Governance Frameworks, Generative AI (GenAI), Agentic AI, Data Governance, Technology Consulting, Management Consulting, AI Strategy. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
Senior Python / Automation Engineer - 12 Month Contract / Hybrid / Inside IR35 Our client, a leader in the technology sector, is seeking a Senior Python / Automation Engineer to join their talented team! This is an exciting opportunity to shape the future of enterprise-grade automation while leveraging cutting-edge AI technologies. About the Role: As a Senior Python / Automation Engineer, you will play a pivotal role in enhancing productivity through automation across various functions. You'll be at the forefront of integrating AI selectively to add value to existing automation processes. What You'll Do: Develop and maintain robust automation solutions that streamline workflows and enhance operational efficiency. Collaborate with cross-functional teams to extend existing agent-based solutions and RAG implementations. Take ownership of the full software lifecycle: build, deploy, monitor, and tune solutions in a live environment. Ensure production maturity by transitioning solutions from proof of concept to fully operational systems. Apply your knowledge of AI concepts pragmatically within a primarily automation-focused environment. Required Experience : Software engineering with strong expertise in Python development. AI Knowledge : Familiarity with LLMs and Generative AI solutions, along with frameworks like LangChain or LangGraph. Technical Skills : Proficiency in API design and integration, SQL, data processing, Git, and CI/CD practises. Production Focus : A solid engineering mindset with the capability to extend existing automation rather than starting from scratch. Desired Qualifications: Experience with RAG architecture implementation and vector databases. Exposure to Azure AI and OpenAI technologies. Familiarity with enterprise workflow automation and agentic AI frameworks. Financial Services 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.
Aug 21, 2026
Contractor
Senior Python / Automation Engineer - 12 Month Contract / Hybrid / Inside IR35 Our client, a leader in the technology sector, is seeking a Senior Python / Automation Engineer to join their talented team! This is an exciting opportunity to shape the future of enterprise-grade automation while leveraging cutting-edge AI technologies. About the Role: As a Senior Python / Automation Engineer, you will play a pivotal role in enhancing productivity through automation across various functions. You'll be at the forefront of integrating AI selectively to add value to existing automation processes. What You'll Do: Develop and maintain robust automation solutions that streamline workflows and enhance operational efficiency. Collaborate with cross-functional teams to extend existing agent-based solutions and RAG implementations. Take ownership of the full software lifecycle: build, deploy, monitor, and tune solutions in a live environment. Ensure production maturity by transitioning solutions from proof of concept to fully operational systems. Apply your knowledge of AI concepts pragmatically within a primarily automation-focused environment. Required Experience : Software engineering with strong expertise in Python development. AI Knowledge : Familiarity with LLMs and Generative AI solutions, along with frameworks like LangChain or LangGraph. Technical Skills : Proficiency in API design and integration, SQL, data processing, Git, and CI/CD practises. Production Focus : A solid engineering mindset with the capability to extend existing automation rather than starting from scratch. Desired Qualifications: Experience with RAG architecture implementation and vector databases. Exposure to Azure AI and OpenAI technologies. Familiarity with enterprise workflow automation and agentic AI frameworks. Financial Services 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.
AI Solution Architects & Technical AI Leaders Manchester Hybrid AI Solution Architect- Financial Services (Hybrid) Join a leading consulting and technology firm shaping enterprise AI and GenAI strategy for major banking clients - moving AI beyond proof of concept into secure, production-grade deployment. The role: - Design AI and GenAI architecture strategies and roadmaps - Build scalable AI/ML and Agentic AI platforms - Work across LLMs, RAG, embeddings and semantic search - Support AI deployment, governance and integration patterns - Collaborate with engineering, data, DevOps and business teams - Advise clients on AI platform capability and implementation strategy Tech environment: Python LLMs (prompt engineering, fine-tuning, RAG) LangChain/LangGraph Agent frameworks Vector databases MLOps/LLMOps AWS/Azure/GCP/Databricks Kubernetes & GPU infrastructure What you'll bring: - Experience designing enterprise AI or ML architectures - Strong grasp of cloud and modern data platforms - Exposure to scalable AI deployment and integration patterns - Financial Services or regulated industry experience (essential) - Strong stakeholder engagement and communication skills Levels:Manager to Associate Director Open to a confidential chat about the AI architecture market? Apply or get in touch directly.
Aug 20, 2026
Full time
AI Solution Architects & Technical AI Leaders Manchester Hybrid AI Solution Architect- Financial Services (Hybrid) Join a leading consulting and technology firm shaping enterprise AI and GenAI strategy for major banking clients - moving AI beyond proof of concept into secure, production-grade deployment. The role: - Design AI and GenAI architecture strategies and roadmaps - Build scalable AI/ML and Agentic AI platforms - Work across LLMs, RAG, embeddings and semantic search - Support AI deployment, governance and integration patterns - Collaborate with engineering, data, DevOps and business teams - Advise clients on AI platform capability and implementation strategy Tech environment: Python LLMs (prompt engineering, fine-tuning, RAG) LangChain/LangGraph Agent frameworks Vector databases MLOps/LLMOps AWS/Azure/GCP/Databricks Kubernetes & GPU infrastructure What you'll bring: - Experience designing enterprise AI or ML architectures - Strong grasp of cloud and modern data platforms - Exposure to scalable AI deployment and integration patterns - Financial Services or regulated industry experience (essential) - Strong stakeholder engagement and communication skills Levels:Manager to Associate Director Open to a confidential chat about the AI architecture market? Apply or get in touch directly.
Lead Data Engineer - Must be DV Clearable - 5 days a week on-site Hands-on technical leadership building data systems that actually work We're looking for a Lead Data Engineer to join an enterprise data engineering capability and play a critical role in designing, building, and improving real-world data systems . This is not a line-management role . Instead, it's a senior, hands-on technical leadership position for someone with deep data engineering experience who leads through delivery, judgement, and technical credibility rather than hierarchy. You'll work in a complex environment spanning Legacy platforms, modern cloud services, and evolving data needs. The challenge isn't greenfield design - it's improving what exists, fixing what's broken, and helping teams use data more effectively and responsibly. This role suits someone who enjoys rolling up their sleeves, tackling difficult problems, and seeing things through end-to-end. What you'll be doing You'll act as a senior technical anchor for data engineering work, contributing directly while guiding others through example. You will: Design, build, and enhance enterprise-scale data pipelines, platforms, and data services Lead complex data engineering work end-to-end - from problem definition and exploration through build, testing, and operational use Work directly with technical and non-technical stakeholders to translate real operational problems into effective data solutions Analyse and synthesise complex datasets from multiple sources, shaping how data is structured, validated, and consumed Provide technical leadership and direction to data engineers and adjacent roles through design decisions, code, and delivery support Improve data sharing, onboarding of new data sources, and interoperability across teams and systems Introduce and evaluate new tools, patterns, and technologies where they genuinely add value - balancing innovation with pragmatism Build robust, production-grade solutions , not proofs of concept Treat metadata, lineage, and data quality as first-class engineering problems Diagnose and resolve complex data and platform issues, often in constrained or imperfect environments Contribute to an inclusive, supportive engineering culture with high technical standards What we're looking for This role is for a genuine practitioner who enjoys doing the work and raising standards around them. Essential experience: Significant, hands-on experience as a Senior or Lead Data Engineer working on complex, real-world systems Strong Python and Spark skills, with evidence of building and maintaining production data pipelines Deep understanding of the full data engineering life cycle : ingestion, transformation, storage, serving, and reuse Strong experience designing data integrations , including working with diverse data sources and Legacy systems Proven ability to design and apply data models that support analysis, operational use, and long-term maintainability Solid understanding of data security, compliance, and governance , built into systems by design Experience working within established data development practices (version control, testing, deployment, change management) Ability to communicate clearly between highly technical teams and non-technical stakeholders Persistence and resilience when dealing with messy data, Legacy constraints, and organisational complexity Desirable experience Experience with cloud-based data ecosystems (including AWS services) alongside existing Legacy platforms Exposure to large-scale enterprise data or analytics platforms Rotating across teams or problem domains, adapting to different delivery contexts Familiarity with emerging or advanced data engineering approaches (including agentic or autonomous patterns), though this is not essential If you enjoy solving hard data problems, working closely with people, and delivering practical solutions in imperfect environments, this role offers both challenge and impact. If interested, apply now! Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
Aug 20, 2026
Contractor
Lead Data Engineer - Must be DV Clearable - 5 days a week on-site Hands-on technical leadership building data systems that actually work We're looking for a Lead Data Engineer to join an enterprise data engineering capability and play a critical role in designing, building, and improving real-world data systems . This is not a line-management role . Instead, it's a senior, hands-on technical leadership position for someone with deep data engineering experience who leads through delivery, judgement, and technical credibility rather than hierarchy. You'll work in a complex environment spanning Legacy platforms, modern cloud services, and evolving data needs. The challenge isn't greenfield design - it's improving what exists, fixing what's broken, and helping teams use data more effectively and responsibly. This role suits someone who enjoys rolling up their sleeves, tackling difficult problems, and seeing things through end-to-end. What you'll be doing You'll act as a senior technical anchor for data engineering work, contributing directly while guiding others through example. You will: Design, build, and enhance enterprise-scale data pipelines, platforms, and data services Lead complex data engineering work end-to-end - from problem definition and exploration through build, testing, and operational use Work directly with technical and non-technical stakeholders to translate real operational problems into effective data solutions Analyse and synthesise complex datasets from multiple sources, shaping how data is structured, validated, and consumed Provide technical leadership and direction to data engineers and adjacent roles through design decisions, code, and delivery support Improve data sharing, onboarding of new data sources, and interoperability across teams and systems Introduce and evaluate new tools, patterns, and technologies where they genuinely add value - balancing innovation with pragmatism Build robust, production-grade solutions , not proofs of concept Treat metadata, lineage, and data quality as first-class engineering problems Diagnose and resolve complex data and platform issues, often in constrained or imperfect environments Contribute to an inclusive, supportive engineering culture with high technical standards What we're looking for This role is for a genuine practitioner who enjoys doing the work and raising standards around them. Essential experience: Significant, hands-on experience as a Senior or Lead Data Engineer working on complex, real-world systems Strong Python and Spark skills, with evidence of building and maintaining production data pipelines Deep understanding of the full data engineering life cycle : ingestion, transformation, storage, serving, and reuse Strong experience designing data integrations , including working with diverse data sources and Legacy systems Proven ability to design and apply data models that support analysis, operational use, and long-term maintainability Solid understanding of data security, compliance, and governance , built into systems by design Experience working within established data development practices (version control, testing, deployment, change management) Ability to communicate clearly between highly technical teams and non-technical stakeholders Persistence and resilience when dealing with messy data, Legacy constraints, and organisational complexity Desirable experience Experience with cloud-based data ecosystems (including AWS services) alongside existing Legacy platforms Exposure to large-scale enterprise data or analytics platforms Rotating across teams or problem domains, adapting to different delivery contexts Familiarity with emerging or advanced data engineering approaches (including agentic or autonomous patterns), though this is not essential If you enjoy solving hard data problems, working closely with people, and delivering practical solutions in imperfect environments, this role offers both challenge and impact. If interested, apply now! Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
Senior AI Developer Annual Salary: Competitive Location: Reading, Berkshire (with hybrid options) Job Type: Full-time A new permanent opportunity has become available for a Senior AI Developer to join a leading technology partner. This role is ideal for an experienced, hands-on full stack developer who is passionate about AI-powered software development. You will be instrumental in designing and delivering production-grade solutions that integrate large language models, agentic systems, and Azure AI services into real-world applications. Day-to-day of the role: Lead the design, development, and deployment of AI-integrated solutions for client engagements using modern full-stack technologies. Integrate Azure AI services into production applications and architect LLM-powered features and agentic workflows. Work directly with clients to understand requirements, shape solutions, and translate them into working software. Provide technical leadership across engagements, ensuring high standards of code quality and engineering rigour. Contribute to technical research, prototyping, and proof-of-concept development to support client proposals and win new work. Define and prove a mature, repeatable pattern for delivering AI solutions that can be scaled across the team. Establish reusable tools, accelerators, and components to enhance the speed and quality of AI delivery. Explore and evaluate emerging AI technologies and development approaches, integrating the best into practice. Mentor and upskill other developers, building AI delivery capability as the model transitions into the Delivery team. Required Skills & Qualifications: Extensive full-stack development experience in React/Node.js, .NET/C#, Python/Fast API. Proven track record of delivering production software on client-facing projects, ideally within a consultancy or professional services environment. Experience with prompt engineering, RAG architectures, or agentic AI development at scale. Familiarity with AI-assisted development tools such as GitHub Copilot, Claude, and Cursor. Strong experience with Azure cloud services and CI/CD pipelines (Azure DevOps). Demonstrable experience integrating LLMs and building AI-powered features in real-world applications. Excellent communication and stakeholder management skills, able to explain technical concepts to non-technical audiences. Comfortable working autonomously and shaping ambiguity into repeatable, scalable delivery. Benefits: Industry-leading training and development opportunities. 23-days holiday allowance, increasing with length of service, plus bank holidays, an extra day off on your birthday, and the option to buy more. Company pension scheme. 2 paid leave days per year to volunteer and support your local community. Health cash plan with free access to a confidential Employee Assistance Programme (EAP). Life assurance. Cycle to work scheme, electric vehicle scheme, home and tech scheme, and retail discounts. Free on-site gym at our Manchester and Leeds locations. Long service recognition and social events such as Summer BBQ and Christmas party. To apply for the Senior AI Developer position, please submit your CV to be immediately considered.
Aug 20, 2026
Full time
Senior AI Developer Annual Salary: Competitive Location: Reading, Berkshire (with hybrid options) Job Type: Full-time A new permanent opportunity has become available for a Senior AI Developer to join a leading technology partner. This role is ideal for an experienced, hands-on full stack developer who is passionate about AI-powered software development. You will be instrumental in designing and delivering production-grade solutions that integrate large language models, agentic systems, and Azure AI services into real-world applications. Day-to-day of the role: Lead the design, development, and deployment of AI-integrated solutions for client engagements using modern full-stack technologies. Integrate Azure AI services into production applications and architect LLM-powered features and agentic workflows. Work directly with clients to understand requirements, shape solutions, and translate them into working software. Provide technical leadership across engagements, ensuring high standards of code quality and engineering rigour. Contribute to technical research, prototyping, and proof-of-concept development to support client proposals and win new work. Define and prove a mature, repeatable pattern for delivering AI solutions that can be scaled across the team. Establish reusable tools, accelerators, and components to enhance the speed and quality of AI delivery. Explore and evaluate emerging AI technologies and development approaches, integrating the best into practice. Mentor and upskill other developers, building AI delivery capability as the model transitions into the Delivery team. Required Skills & Qualifications: Extensive full-stack development experience in React/Node.js, .NET/C#, Python/Fast API. Proven track record of delivering production software on client-facing projects, ideally within a consultancy or professional services environment. Experience with prompt engineering, RAG architectures, or agentic AI development at scale. Familiarity with AI-assisted development tools such as GitHub Copilot, Claude, and Cursor. Strong experience with Azure cloud services and CI/CD pipelines (Azure DevOps). Demonstrable experience integrating LLMs and building AI-powered features in real-world applications. Excellent communication and stakeholder management skills, able to explain technical concepts to non-technical audiences. Comfortable working autonomously and shaping ambiguity into repeatable, scalable delivery. Benefits: Industry-leading training and development opportunities. 23-days holiday allowance, increasing with length of service, plus bank holidays, an extra day off on your birthday, and the option to buy more. Company pension scheme. 2 paid leave days per year to volunteer and support your local community. Health cash plan with free access to a confidential Employee Assistance Programme (EAP). Life assurance. Cycle to work scheme, electric vehicle scheme, home and tech scheme, and retail discounts. Free on-site gym at our Manchester and Leeds locations. Long service recognition and social events such as Summer BBQ and Christmas party. To apply for the Senior AI Developer position, please submit your CV to be immediately considered.
Intuition IT Solutions Ltd
Cambridge, Cambridgeshire
Role Overview We are seeking a seasoned Enterprise Solution Architect with deep expertise in the Life Sciences value chain and data modernization to lead complex, high-value client engagements. You will serve as a strategic bridge between business objectives and technical execution, driving architectural governance, solution shaping, and technical sales enablement, specifically within the Life Sciences sector. Key Responsibilities Life Sciences Domain Leadership: Drive end-to-end data modernization across the Life Sciences value chain-spanning R&D, Clinical Data, and Commercial operations. Lead discovery workshops to define high-impact use cases that accelerate drug development and commercial outcomes. Solution Strategy & Shaping: Translate complex business problems into scalable, value-led architecture roadmaps across AWS, Azure, and GCP. Lead end-to-end solutioning for high-value pursuits. Architecture Leadership: Provide technical governance for critical programs. Drive the adoption of modern data platforms, including Lakehouse architectures for large-scale clinical and commercial data sets. Innovation & GenAI: Spearhead the development of GenAI assets (eg, agentic workflows for R&D/IT) and Proof-of-Concepts (POCs) tailored to Life Sciences workflows. Stakeholder Management: Partner with C-suite and senior stakeholders to align technical roadmaps with enterprise goals, ensuring compliance and data reusability across global research and commercial organizations. Technical Enablement: Establish best practices for the Life Sciences Center of Excellence (COE), mentor technical teams, and perform rigorous code reviews. Qualifications & Expertise Experience: 20+ years of experience across architecture, application development, and big data analytics, with significant tenure in the Life Sciences industry. Domain Expertise: Proven track record in Life Sciences, specifically in Clinical Data, R&D, and Commercial Analytics. Deep understanding of the data challenges inherent in the Life Sciences value chain. Core Architecture: Expertise in Data Modernization, Microservices, Cloud Architecture, and Lakehouse patterns. Data & AI: Deep hands-on proficiency in Databricks (Spark, PySpark, DLT), GenAI (Agent Core, Copilot Studio, Amazon Bedrock), and Graph Databases (Neo4j). Cloud & Tools: Strong command of AWS (Lambda, Glue, EMR, MWAA, S3), Azure, Airflow, Terraform, Docker, Kubernetes, and Jenkins. Programming: Advanced skills in Python, SQL, Scala, Java, and Shell Scripting. Leadership Competencies Strategic Advisory: Proven ability to lead post-technical win strategies and define long-term platform adoption roadmaps for enterprise-level Life Sciences programs. Delivery Ownership: End-to-end accountability for complex architectural solutions, ensuring successful production go-lives in regulated environments. Technical Enthusiasm: A continuous learner, proactive in navigating new product innovations and bridging the gap between Life Sciences business priorities and engineering feasibility.
Aug 20, 2026
Full time
Role Overview We are seeking a seasoned Enterprise Solution Architect with deep expertise in the Life Sciences value chain and data modernization to lead complex, high-value client engagements. You will serve as a strategic bridge between business objectives and technical execution, driving architectural governance, solution shaping, and technical sales enablement, specifically within the Life Sciences sector. Key Responsibilities Life Sciences Domain Leadership: Drive end-to-end data modernization across the Life Sciences value chain-spanning R&D, Clinical Data, and Commercial operations. Lead discovery workshops to define high-impact use cases that accelerate drug development and commercial outcomes. Solution Strategy & Shaping: Translate complex business problems into scalable, value-led architecture roadmaps across AWS, Azure, and GCP. Lead end-to-end solutioning for high-value pursuits. Architecture Leadership: Provide technical governance for critical programs. Drive the adoption of modern data platforms, including Lakehouse architectures for large-scale clinical and commercial data sets. Innovation & GenAI: Spearhead the development of GenAI assets (eg, agentic workflows for R&D/IT) and Proof-of-Concepts (POCs) tailored to Life Sciences workflows. Stakeholder Management: Partner with C-suite and senior stakeholders to align technical roadmaps with enterprise goals, ensuring compliance and data reusability across global research and commercial organizations. Technical Enablement: Establish best practices for the Life Sciences Center of Excellence (COE), mentor technical teams, and perform rigorous code reviews. Qualifications & Expertise Experience: 20+ years of experience across architecture, application development, and big data analytics, with significant tenure in the Life Sciences industry. Domain Expertise: Proven track record in Life Sciences, specifically in Clinical Data, R&D, and Commercial Analytics. Deep understanding of the data challenges inherent in the Life Sciences value chain. Core Architecture: Expertise in Data Modernization, Microservices, Cloud Architecture, and Lakehouse patterns. Data & AI: Deep hands-on proficiency in Databricks (Spark, PySpark, DLT), GenAI (Agent Core, Copilot Studio, Amazon Bedrock), and Graph Databases (Neo4j). Cloud & Tools: Strong command of AWS (Lambda, Glue, EMR, MWAA, S3), Azure, Airflow, Terraform, Docker, Kubernetes, and Jenkins. Programming: Advanced skills in Python, SQL, Scala, Java, and Shell Scripting. Leadership Competencies Strategic Advisory: Proven ability to lead post-technical win strategies and define long-term platform adoption roadmaps for enterprise-level Life Sciences programs. Delivery Ownership: End-to-end accountability for complex architectural solutions, ensuring successful production go-lives in regulated environments. Technical Enthusiasm: A continuous learner, proactive in navigating new product innovations and bridging the gap between Life Sciences business priorities and engineering feasibility.
Permanent - AI Full Stack Product Engineer (Agentic AI) Location: London (Hybrid - 3 days per week) Permanent Build AI Products. Not Just Software. We're looking for a hands-on AI Full Stack Product Engineer to help build the next generation of AI-powered products for a fast-growing technology business. Working directly with an innovative CTO, you'll develop intelligent applications using Agentic AI , LLMs and frameworks such as Loop Harness and LangGraph , helping shape how AI is Embedded into real-world products. This is a role for someone who enjoys experimenting, moving quickly and solving complex problems in a collaborative scale-up environment. What You'll Be Doing Build AI-powered products using modern full-stack technologies. Develop agentic workflows and autonomous AI capabilities. Build and integrate APIs, Back End services and cloud-native applications. Work with LLMs including Anthropic Claude and other leading AI platforms. Prototype new ideas and rapidly iterate with Product and Engineering teams. Contribute across Front End, Back End, cloud infrastructure and AI engineering. Help define engineering standards and best practices for AI development. Skills We're Looking For Strong commercial experience with TypeScript , Next.js and React . Backend development using Python and modern APIs. Experience building production applications using LLMs or AI services. Knowledge of LangGraph , Loop Harness , MCP or similar agent frameworks. AWS, Docker, Kubernetes and CI/CD experience. Comfortable working across the full technology stack. Experience within a fast-paced scale-up or product-led business. The Person We're looking for someone who is: Passionate about AI and emerging technologies. Curious, energetic and keen to experiment. Comfortable working in ambiguity and trying new approaches. A strong communicator who enjoys collaborating across Product and Engineering. Happy wearing multiple hats and helping a growing business scale. This is an opportunity to work on cutting-edge AI products where you'll have genuine influence over technical direction, work directly with the CTO and help shape the future of an AI-first business.
Aug 20, 2026
Full time
Permanent - AI Full Stack Product Engineer (Agentic AI) Location: London (Hybrid - 3 days per week) Permanent Build AI Products. Not Just Software. We're looking for a hands-on AI Full Stack Product Engineer to help build the next generation of AI-powered products for a fast-growing technology business. Working directly with an innovative CTO, you'll develop intelligent applications using Agentic AI , LLMs and frameworks such as Loop Harness and LangGraph , helping shape how AI is Embedded into real-world products. This is a role for someone who enjoys experimenting, moving quickly and solving complex problems in a collaborative scale-up environment. What You'll Be Doing Build AI-powered products using modern full-stack technologies. Develop agentic workflows and autonomous AI capabilities. Build and integrate APIs, Back End services and cloud-native applications. Work with LLMs including Anthropic Claude and other leading AI platforms. Prototype new ideas and rapidly iterate with Product and Engineering teams. Contribute across Front End, Back End, cloud infrastructure and AI engineering. Help define engineering standards and best practices for AI development. Skills We're Looking For Strong commercial experience with TypeScript , Next.js and React . Backend development using Python and modern APIs. Experience building production applications using LLMs or AI services. Knowledge of LangGraph , Loop Harness , MCP or similar agent frameworks. AWS, Docker, Kubernetes and CI/CD experience. Comfortable working across the full technology stack. Experience within a fast-paced scale-up or product-led business. The Person We're looking for someone who is: Passionate about AI and emerging technologies. Curious, energetic and keen to experiment. Comfortable working in ambiguity and trying new approaches. A strong communicator who enjoys collaborating across Product and Engineering. Happy wearing multiple hats and helping a growing business scale. This is an opportunity to work on cutting-edge AI products where you'll have genuine influence over technical direction, work directly with the CTO and help shape the future of an AI-first business.
AI Engineer / AI Solutions Specialist Location: Sheffield HybridType: Permanent Shape the Future of AI in a Growing Business An exciting opportunity has arisen for an AI Engineer / AI Solutions Specialist to join a well-established business embarking on its AI journey.This is a unique chance to become the organisation's first dedicated AI hire, taking ownership of how AI is implemented, governed and adopted across the business. You'll work closely with IT, business stakeholders and senior leadership to identify opportunities for AI-driven innovation, build practical solutions and help establish a long-term AI roadmap.This role would suit someone who enjoys combining hands-on technical delivery with stakeholder engagement and is excited by the opportunity to build AI capability from the ground up. What You'll Be Doing Design, develop and deploy AI-powered solutions across the organisation. Build AI assistants, copilots, intelligent automation tools and knowledge management solutions. Develop Retrieval-Augmented Generation (RAG) solutions using internal business data. Create scalable AI architectures and support the ongoing management of AI platforms and infrastructure. Integrate AI solutions with business-critical systems, including Microsoft 365, SharePoint and other enterprise applications. Work with stakeholders across the business to identify opportunities for automation and AI adoption. Ensure AI solutions operate in line with security, governance and compliance requirements. Monitor performance, usage, reliability and cost of deployed AI solutions. What We're Looking For Commercial experience building and deploying AI or Machine Learning solutions. Strong Python development skills. Experience working with REST APIs and systems integration. Knowledge of LLMs, RAG architectures, vector databases and modern AI frameworks. Experience with AWS cloud services and infrastructure. Familiarity with Docker and Kubernetes. Experience integrating AI solutions with Microsoft technologies such as Microsoft 365, SharePoint or Teams. Strong communication skills and the ability to work with both technical and non-technical stakeholders. Desirable Experience AI governance and responsible AI practices. MLOps or LLMOps environments. Agentic AI frameworks such as LangGraph, CrewAI or AutoGen. AI orchestration tools such as N8N. Data governance and Microsoft Purview. Prompt engineering and model fine-tuning. Why Apply? Opportunity to become the first dedicated AI specialist within the business. Significant autonomy and ownership. Ability to shape AI strategy and influence future technology direction. Broad exposure across technical delivery, stakeholder engagement and innovation. Chance to make a visible impact through the adoption of AI solutions across the organisation. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)
Aug 20, 2026
Full time
AI Engineer / AI Solutions Specialist Location: Sheffield HybridType: Permanent Shape the Future of AI in a Growing Business An exciting opportunity has arisen for an AI Engineer / AI Solutions Specialist to join a well-established business embarking on its AI journey.This is a unique chance to become the organisation's first dedicated AI hire, taking ownership of how AI is implemented, governed and adopted across the business. You'll work closely with IT, business stakeholders and senior leadership to identify opportunities for AI-driven innovation, build practical solutions and help establish a long-term AI roadmap.This role would suit someone who enjoys combining hands-on technical delivery with stakeholder engagement and is excited by the opportunity to build AI capability from the ground up. What You'll Be Doing Design, develop and deploy AI-powered solutions across the organisation. Build AI assistants, copilots, intelligent automation tools and knowledge management solutions. Develop Retrieval-Augmented Generation (RAG) solutions using internal business data. Create scalable AI architectures and support the ongoing management of AI platforms and infrastructure. Integrate AI solutions with business-critical systems, including Microsoft 365, SharePoint and other enterprise applications. Work with stakeholders across the business to identify opportunities for automation and AI adoption. Ensure AI solutions operate in line with security, governance and compliance requirements. Monitor performance, usage, reliability and cost of deployed AI solutions. What We're Looking For Commercial experience building and deploying AI or Machine Learning solutions. Strong Python development skills. Experience working with REST APIs and systems integration. Knowledge of LLMs, RAG architectures, vector databases and modern AI frameworks. Experience with AWS cloud services and infrastructure. Familiarity with Docker and Kubernetes. Experience integrating AI solutions with Microsoft technologies such as Microsoft 365, SharePoint or Teams. Strong communication skills and the ability to work with both technical and non-technical stakeholders. Desirable Experience AI governance and responsible AI practices. MLOps or LLMOps environments. Agentic AI frameworks such as LangGraph, CrewAI or AutoGen. AI orchestration tools such as N8N. Data governance and Microsoft Purview. Prompt engineering and model fine-tuning. Why Apply? Opportunity to become the first dedicated AI specialist within the business. Significant autonomy and ownership. Ability to shape AI strategy and influence future technology direction. Broad exposure across technical delivery, stakeholder engagement and innovation. Chance to make a visible impact through the adoption of AI solutions across the organisation. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)
Senior Data Science Consultant 60k - 70k + bonus and benefits (multiple positions available at different levels) London, Manchester or Glasgow / Hybrid Are you ready to work at the forefront of Agentic AI, GenAI and Data Science transformation? This is your opportunity to join a high-growth consulting environment where innovation, creativity and cutting-edge technology come together to solve complex business challenges for major clients. You'll play a key role in delivering impactful AI and analytics solutions, helping organisations unlock the value of their data and transform the way they operate. If you thrive in a client-facing consulting environment and want to work on pioneering AI initiatives with real-world impact, this could be the perfect next step in your career. What You'll Be Doing Leading and supporting the delivery of Agentic AI, GenAI, Data Science and Analytics projects across the full machine learning lifecycle Working closely with clients to understand business challenges and deliver innovative, data-driven solutions Demonstrating the value and potential of AI and advanced analytics through workshops, presentations and client engagements Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast-paced consulting environment Contributing to business growth through bids, proposals, RFPs, thought leadership and proposition development Supporting internal innovation initiatives, whitepapers, practice development and mentoring activities Continuously developing your skills across emerging AI, analytics and cloud technologies What You'll Bring Experience delivering Data Science, Analytics or Agentic/GenAI solutions within a client-facing or consulting environment Strong knowledge across the ML lifecycle and advanced analytical methodologies Passion for demonstrating how Agentic AI and GenAI can unlock business value Excellent stakeholder management, communication and presentation skills Experience helping clients derive actionable insights from complex data Background working within a consultancy and/or industry environment Technical Skills You'll have experience with some of the following: Cloud & Data Platforms: AWS, Azure, Google Cloud Platform, Databricks Programming Languages: Python, R, PySpark Agentic & GenAI Platforms: Microsoft Copilot Studio, OpenAI GPT-5 Agents, UiPath, Adept AI, Orby AI, Beam AI If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Scientist, Senior Data Scientist, AI Consultant, Machine Learning Consultant, GenAI Consultant, AI Engineer, Applied Data Scientist, Analytics Consultant, ML Engineer, Data & AI Consultant, Advanced Analytics Consultant, NLP Specialist, Python Developer, AI Transformation Consultant, Databricks Consultant, Azure AI Consultant, AWS Data Scientist, GCP Data Consultant, Agentic AI Consultant, OpenAI GPT Specialist, PySpark Developer. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
Aug 20, 2026
Full time
Senior Data Science Consultant 60k - 70k + bonus and benefits (multiple positions available at different levels) London, Manchester or Glasgow / Hybrid Are you ready to work at the forefront of Agentic AI, GenAI and Data Science transformation? This is your opportunity to join a high-growth consulting environment where innovation, creativity and cutting-edge technology come together to solve complex business challenges for major clients. You'll play a key role in delivering impactful AI and analytics solutions, helping organisations unlock the value of their data and transform the way they operate. If you thrive in a client-facing consulting environment and want to work on pioneering AI initiatives with real-world impact, this could be the perfect next step in your career. What You'll Be Doing Leading and supporting the delivery of Agentic AI, GenAI, Data Science and Analytics projects across the full machine learning lifecycle Working closely with clients to understand business challenges and deliver innovative, data-driven solutions Demonstrating the value and potential of AI and advanced analytics through workshops, presentations and client engagements Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast-paced consulting environment Contributing to business growth through bids, proposals, RFPs, thought leadership and proposition development Supporting internal innovation initiatives, whitepapers, practice development and mentoring activities Continuously developing your skills across emerging AI, analytics and cloud technologies What You'll Bring Experience delivering Data Science, Analytics or Agentic/GenAI solutions within a client-facing or consulting environment Strong knowledge across the ML lifecycle and advanced analytical methodologies Passion for demonstrating how Agentic AI and GenAI can unlock business value Excellent stakeholder management, communication and presentation skills Experience helping clients derive actionable insights from complex data Background working within a consultancy and/or industry environment Technical Skills You'll have experience with some of the following: Cloud & Data Platforms: AWS, Azure, Google Cloud Platform, Databricks Programming Languages: Python, R, PySpark Agentic & GenAI Platforms: Microsoft Copilot Studio, OpenAI GPT-5 Agents, UiPath, Adept AI, Orby AI, Beam AI If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Scientist, Senior Data Scientist, AI Consultant, Machine Learning Consultant, GenAI Consultant, AI Engineer, Applied Data Scientist, Analytics Consultant, ML Engineer, Data & AI Consultant, Advanced Analytics Consultant, NLP Specialist, Python Developer, AI Transformation Consultant, Databricks Consultant, Azure AI Consultant, AWS Data Scientist, GCP Data Consultant, Agentic AI Consultant, OpenAI GPT Specialist, PySpark Developer. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
Senior AI Engineer (Gen AI & RAG) Join an award-winning, internationally recognised high growth international SaaS business as a Senior AI Engineer, where you will play a central role in delivering and evolving production-grade generative & agentic AI capabilities that power real-world business outcomes. This is a senior, hands-on engineering role focused on building the intelligence layer of next-generation AI products. You will architect and implement Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, and rigorous evaluation frameworks that ensure AI systems are accurate, reliable, and grounded in genuine business value. Reporting to the Director of AI, you will bridge strategy and execution, translating architectural direction into high-quality, scalable implementations in close collaboration with AI Platform Engineering. What You'll Do Design, build, and deploy production-grade generative AI systems that perform reliably at scale. Implement and continuously improve RAG pipelines, including chunking strategies, reranking logic, and retrieval fusion, that effectively leverage proprietary and domain-specific content. Develop agentic and workflow-driven AI patterns with a strong emphasis on determinism, explainability, and long-term maintainability. Implement fine-tuning, instruction tuning, and knowledge distillation techniques to adapt models to domain-specific requirements, evaluating trade-offs against prompting on quality, latency, and cost. Drive strong experimentation and evaluation practices, ensuring experiments are reproducible and well-documented while measuring correctness, faithfulness, and robustness across AI outputs. Provide hands-on technical leadership, including code reviews, design walkthroughs, and mentoring across the team. Work closely with platform, product, and delivery teams to accelerate the path from AI experimentation to production deployment. Explore and apply advanced retrieval approaches, including Graph-RAG and structured knowledge representation, where they deliver clear value. Required Skills & Experience Strong Python skills, with hands-on experience in LlamaIndex, LangChain, and LangGraph. Proven track record building RAG systems; Graph-RAG a distinct advantage. Hands-on fine-tuning, instruction tuning, and knowledge distillation, not just prompt engineering. Solid evaluation and experimentation methodology for generative AI, focused on correctness, faithfulness, and robustness. Experience with large-scale, production-grade data pipelines, including performance, scalability, and reliability. Track record owning technical design and delivery of AI/ML systems in live, business-critical environments. Azure/Foundry familiarity advantageous. This is a compelling opportunity to work at the forefront of applied Generative AI, where your contributions directly shape customer-facing products and drive measurable business impact. You will bring genuine technical ownership and autonomy, supported by a world-class leadership team with a clear and ambitious AI roadmap. INDAM The Portfolio Group are acting on behalf of our client in recruiting for this position.
Aug 20, 2026
Full time
Senior AI Engineer (Gen AI & RAG) Join an award-winning, internationally recognised high growth international SaaS business as a Senior AI Engineer, where you will play a central role in delivering and evolving production-grade generative & agentic AI capabilities that power real-world business outcomes. This is a senior, hands-on engineering role focused on building the intelligence layer of next-generation AI products. You will architect and implement Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, and rigorous evaluation frameworks that ensure AI systems are accurate, reliable, and grounded in genuine business value. Reporting to the Director of AI, you will bridge strategy and execution, translating architectural direction into high-quality, scalable implementations in close collaboration with AI Platform Engineering. What You'll Do Design, build, and deploy production-grade generative AI systems that perform reliably at scale. Implement and continuously improve RAG pipelines, including chunking strategies, reranking logic, and retrieval fusion, that effectively leverage proprietary and domain-specific content. Develop agentic and workflow-driven AI patterns with a strong emphasis on determinism, explainability, and long-term maintainability. Implement fine-tuning, instruction tuning, and knowledge distillation techniques to adapt models to domain-specific requirements, evaluating trade-offs against prompting on quality, latency, and cost. Drive strong experimentation and evaluation practices, ensuring experiments are reproducible and well-documented while measuring correctness, faithfulness, and robustness across AI outputs. Provide hands-on technical leadership, including code reviews, design walkthroughs, and mentoring across the team. Work closely with platform, product, and delivery teams to accelerate the path from AI experimentation to production deployment. Explore and apply advanced retrieval approaches, including Graph-RAG and structured knowledge representation, where they deliver clear value. Required Skills & Experience Strong Python skills, with hands-on experience in LlamaIndex, LangChain, and LangGraph. Proven track record building RAG systems; Graph-RAG a distinct advantage. Hands-on fine-tuning, instruction tuning, and knowledge distillation, not just prompt engineering. Solid evaluation and experimentation methodology for generative AI, focused on correctness, faithfulness, and robustness. Experience with large-scale, production-grade data pipelines, including performance, scalability, and reliability. Track record owning technical design and delivery of AI/ML systems in live, business-critical environments. Azure/Foundry familiarity advantageous. This is a compelling opportunity to work at the forefront of applied Generative AI, where your contributions directly shape customer-facing products and drive measurable business impact. You will bring genuine technical ownership and autonomy, supported by a world-class leadership team with a clear and ambitious AI roadmap. INDAM The Portfolio Group are acting on behalf of our client in recruiting for this position.
Senior ServiceNow AI Strategy & Automation Consultant UK Wide Hybrid Permanent Up to the high 80,000s + 10% bonus and benefits AI comes up in nearly every client conversation now. In reality, most businesses are not short of tools. What they need is someone who can help them decide what each tool is actually for, where it will add value and how it should fit into the wider organisation. I'm working with a leading transformation consultancy that is growing its ServiceNow AI capability. They need a senior consultant who understands the platform and can help clients answer questions such as, "We already have Microsoft Copilot and ServiceNow, so where should we use each one?" What You'll Be Doing You'll work with senior stakeholders to develop practical AI and automation strategies with ServiceNow at the centre. You'll help them identify useful opportunities, decide which ones are worth pursuing and turn those ideas into roadmaps and business cases. The role covers AI capabilities across the ServiceNow platform rather than one specific product. Depending on your background, you could be advising on Now Assist, Virtual Agent, AI Control Tower, agentic workflows, enterprise search or Moveworks. A big part of the job will be helping clients understand where ServiceNow AI fits alongside tools such as Microsoft Copilot. You'll look at the business problem, existing systems and available data before recommending which capability makes the most sense. You'll also advise on the less glamorous but important parts of AI adoption, including governance, risk, data, integrations and responsible use. The wider consultancy has teams that can support detailed implementation, so this role is mainly focused on strategy, advisory work and shaping the overall direction. You'll also get involved in proposals, presentations and early client conversations as the consultancy continues to develop its ServiceNow AI offering. What They're Looking For You'll need a strong understanding of ServiceNow at platform level rather than experience with just one module. The manager is flexible on the exact AI tools you have used, but you should ideally have meaningful exposure to at least two areas such as Now Assist, Virtual Agent, AI Control Tower, agentic workflows, enterprise search or Moveworks. Nobody is expecting you to have years of experience across every new ServiceNow AI product. Many of them have not been around long enough for that. A solid ServiceNow background combined with experience in enterprise AI, intelligent automation, conversational AI or AI governance could be equally relevant. This is not a generic AI position, though. You need to understand how AI works within enterprise products and workflows, and you should be able to explain where ServiceNow offers value compared with other tools. Some knowledge of platform architecture, data and integrations will help, but you are not expected to be a developer or AI engineer. You'll be comfortable leading senior client conversations, explaining technical subjects in plain English and linking AI investment to actual business outcomes. Experience developing strategies, roadmaps, business cases or operating models will be important. Any involvement in proposals, RFPs or client development would also be useful. Why It's Worth Looking At This is a good opportunity to move into a more strategic ServiceNow position and work on the questions clients are asking right now. You'll get exposure to several emerging areas of the platform without being boxed into one product or expected to know everything from day one. You'll also have a genuine say in how the consultancy develops its ServiceNow AI offering, rather than simply joining an established delivery team and following an existing approach. You can be based anywhere in the UK. Travel to one of the consultancy's UK offices will usually be around once a month, with client travel required at key project milestones. If your background combines strong ServiceNow knowledge with AI, automation or governance experience, I'd be interested in speaking with you. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
Aug 20, 2026
Full time
Senior ServiceNow AI Strategy & Automation Consultant UK Wide Hybrid Permanent Up to the high 80,000s + 10% bonus and benefits AI comes up in nearly every client conversation now. In reality, most businesses are not short of tools. What they need is someone who can help them decide what each tool is actually for, where it will add value and how it should fit into the wider organisation. I'm working with a leading transformation consultancy that is growing its ServiceNow AI capability. They need a senior consultant who understands the platform and can help clients answer questions such as, "We already have Microsoft Copilot and ServiceNow, so where should we use each one?" What You'll Be Doing You'll work with senior stakeholders to develop practical AI and automation strategies with ServiceNow at the centre. You'll help them identify useful opportunities, decide which ones are worth pursuing and turn those ideas into roadmaps and business cases. The role covers AI capabilities across the ServiceNow platform rather than one specific product. Depending on your background, you could be advising on Now Assist, Virtual Agent, AI Control Tower, agentic workflows, enterprise search or Moveworks. A big part of the job will be helping clients understand where ServiceNow AI fits alongside tools such as Microsoft Copilot. You'll look at the business problem, existing systems and available data before recommending which capability makes the most sense. You'll also advise on the less glamorous but important parts of AI adoption, including governance, risk, data, integrations and responsible use. The wider consultancy has teams that can support detailed implementation, so this role is mainly focused on strategy, advisory work and shaping the overall direction. You'll also get involved in proposals, presentations and early client conversations as the consultancy continues to develop its ServiceNow AI offering. What They're Looking For You'll need a strong understanding of ServiceNow at platform level rather than experience with just one module. The manager is flexible on the exact AI tools you have used, but you should ideally have meaningful exposure to at least two areas such as Now Assist, Virtual Agent, AI Control Tower, agentic workflows, enterprise search or Moveworks. Nobody is expecting you to have years of experience across every new ServiceNow AI product. Many of them have not been around long enough for that. A solid ServiceNow background combined with experience in enterprise AI, intelligent automation, conversational AI or AI governance could be equally relevant. This is not a generic AI position, though. You need to understand how AI works within enterprise products and workflows, and you should be able to explain where ServiceNow offers value compared with other tools. Some knowledge of platform architecture, data and integrations will help, but you are not expected to be a developer or AI engineer. You'll be comfortable leading senior client conversations, explaining technical subjects in plain English and linking AI investment to actual business outcomes. Experience developing strategies, roadmaps, business cases or operating models will be important. Any involvement in proposals, RFPs or client development would also be useful. Why It's Worth Looking At This is a good opportunity to move into a more strategic ServiceNow position and work on the questions clients are asking right now. You'll get exposure to several emerging areas of the platform without being boxed into one product or expected to know everything from day one. You'll also have a genuine say in how the consultancy develops its ServiceNow AI offering, rather than simply joining an established delivery team and following an existing approach. You can be based anywhere in the UK. Travel to one of the consultancy's UK offices will usually be around once a month, with client travel required at key project milestones. If your background combines strong ServiceNow knowledge with AI, automation or governance experience, I'd be interested in speaking with you. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
Engineering Lead - Financial Planning (iRESS Xplan) Locations: London Liverpool Permanent Lead the Future of Financial Planning Technology We're partnering with a leading UK wealth management organisation undergoing significant technology transformation and seeking an experienced Engineering Lead - Financial Planning (iRESS Xplan) to take ownership of a business-critical financial planning platform. This is a unique opportunity for a technically strong leader who combines hands-on engineering expertise with strategic technology leadership. You'll act as the senior technical authority for the financial planning ecosystem, driving platform evolution, integration strategy, engineering excellence and team development. Working at the intersection of Financial Planning, CRM, Data and Wealth Technology, you'll play a key role in shaping the future technology landscape supporting advisers and clients across the organisation. The Role As Engineering Lead, you'll own the design, development, integration and operation of the firm's financial planning platform, ensuring it remains scalable, secure and fit for future growth. You'll provide technical leadership across engineering teams, establish best practice standards, mentor colleagues, and guide architectural decisions, while maintaining a hands-on involvement in platform delivery and optimisation. Key platform integrations include Salesforce Financial Services Cloud, enterprise data platforms, middleware technologies, APIs and wealth management systems. Key Responsibilities Technical Leadership Act as the senior technical authority for the financial planning domain. Define and maintain engineering standards covering code quality, documentation, testing and release management. Lead architecture and design decisions, ensuring scalability, maintainability and security. Conduct technical design reviews and provide expert guidance across engineering teams. Balance delivery objectives with technical debt management and platform sustainability. Engineering & Delivery Champion modern engineering practices including CI/CD, Git-based development, automated testing and code review. Support Agile delivery through Scrum and Kanban methodologies. Design and oversee integrations using REST APIs, SOAP services and event-driven architectures. Drive adoption of middleware and integration technologies. Contribute to the development of APIs, web applications, serverless solutions and microservices using technologies such as Python or Java. Ensure solutions meet security, compliance and data protection requirements. Team Leadership Mentor and develop engineers, configuration specialists and platform administrators. Help build engineering capability and promote best practice across technical and non-technical teams. Collaborate with business stakeholders, compliance teams, architects and engineering leaders within a "build it, run it" environment. iRESS Xplan Platform Ownership Lead configuration and customisation of Xplan workflows, forms, templates, campaigns and business processes. Design and maintain integrations between Xplan and connected platforms, including CRM and data solutions. Oversee platform upgrades, releases and vendor-led enhancements. Manage troubleshooting, root cause analysis and platform optimisation activities. Support data migration initiatives including cleansing, mapping and validation exercises. Ensure platform security and permissions are effectively managed in a regulated environment. What We're Looking For Essential Experience Strong experience with iRESS Xplan , including configuration, customisation and integration. Proven leadership experience within software engineering or platform engineering environments. Strong understanding of API design and enterprise integration patterns. Experience delivering solutions within regulated financial services environments. Knowledge of cloud and middleware technologies, including serverless architectures. Experience working with modern SDLC practices and Agile delivery methods. Strong stakeholder management and communication skills. Understanding of data platforms and operational data models. Highly Desirable Wealth management, private banking or investment platform experience. Experience integrating Xplan with Salesforce Financial Services Cloud. Knowledge of financial planning and adviser back-office processes. Experience managing vendor relationships and influencing product roadmaps. Track record of building internal capability and reducing reliance on external implementation partners. Exposure to AI-assisted development tools such as GitHub Copilot or Claude Code. Experience developing AI-enabled or agentic solutions within financial services. What's on Offer Competitive base salary Discretionary annual bonus Excellent pension contribution Private medical insurance Life assurance Income protection Share scheme Flexible holiday allowance with option to purchase additional leave Enhanced family-friendly benefits Study support and professional development funding Green car scheme Season ticket loans Volunteering days Gym and lifestyle discounts Comprehensive wellbeing and inclusion initiatives Apply Now This is an excellent opportunity for an experienced Xplan specialist and engineering leader to shape the future of financial planning technology within a growing and highly respected wealth management environment. To discuss the role in confidence, please contact us today. If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
Aug 19, 2026
Full time
Engineering Lead - Financial Planning (iRESS Xplan) Locations: London Liverpool Permanent Lead the Future of Financial Planning Technology We're partnering with a leading UK wealth management organisation undergoing significant technology transformation and seeking an experienced Engineering Lead - Financial Planning (iRESS Xplan) to take ownership of a business-critical financial planning platform. This is a unique opportunity for a technically strong leader who combines hands-on engineering expertise with strategic technology leadership. You'll act as the senior technical authority for the financial planning ecosystem, driving platform evolution, integration strategy, engineering excellence and team development. Working at the intersection of Financial Planning, CRM, Data and Wealth Technology, you'll play a key role in shaping the future technology landscape supporting advisers and clients across the organisation. The Role As Engineering Lead, you'll own the design, development, integration and operation of the firm's financial planning platform, ensuring it remains scalable, secure and fit for future growth. You'll provide technical leadership across engineering teams, establish best practice standards, mentor colleagues, and guide architectural decisions, while maintaining a hands-on involvement in platform delivery and optimisation. Key platform integrations include Salesforce Financial Services Cloud, enterprise data platforms, middleware technologies, APIs and wealth management systems. Key Responsibilities Technical Leadership Act as the senior technical authority for the financial planning domain. Define and maintain engineering standards covering code quality, documentation, testing and release management. Lead architecture and design decisions, ensuring scalability, maintainability and security. Conduct technical design reviews and provide expert guidance across engineering teams. Balance delivery objectives with technical debt management and platform sustainability. Engineering & Delivery Champion modern engineering practices including CI/CD, Git-based development, automated testing and code review. Support Agile delivery through Scrum and Kanban methodologies. Design and oversee integrations using REST APIs, SOAP services and event-driven architectures. Drive adoption of middleware and integration technologies. Contribute to the development of APIs, web applications, serverless solutions and microservices using technologies such as Python or Java. Ensure solutions meet security, compliance and data protection requirements. Team Leadership Mentor and develop engineers, configuration specialists and platform administrators. Help build engineering capability and promote best practice across technical and non-technical teams. Collaborate with business stakeholders, compliance teams, architects and engineering leaders within a "build it, run it" environment. iRESS Xplan Platform Ownership Lead configuration and customisation of Xplan workflows, forms, templates, campaigns and business processes. Design and maintain integrations between Xplan and connected platforms, including CRM and data solutions. Oversee platform upgrades, releases and vendor-led enhancements. Manage troubleshooting, root cause analysis and platform optimisation activities. Support data migration initiatives including cleansing, mapping and validation exercises. Ensure platform security and permissions are effectively managed in a regulated environment. What We're Looking For Essential Experience Strong experience with iRESS Xplan , including configuration, customisation and integration. Proven leadership experience within software engineering or platform engineering environments. Strong understanding of API design and enterprise integration patterns. Experience delivering solutions within regulated financial services environments. Knowledge of cloud and middleware technologies, including serverless architectures. Experience working with modern SDLC practices and Agile delivery methods. Strong stakeholder management and communication skills. Understanding of data platforms and operational data models. Highly Desirable Wealth management, private banking or investment platform experience. Experience integrating Xplan with Salesforce Financial Services Cloud. Knowledge of financial planning and adviser back-office processes. Experience managing vendor relationships and influencing product roadmaps. Track record of building internal capability and reducing reliance on external implementation partners. Exposure to AI-assisted development tools such as GitHub Copilot or Claude Code. Experience developing AI-enabled or agentic solutions within financial services. What's on Offer Competitive base salary Discretionary annual bonus Excellent pension contribution Private medical insurance Life assurance Income protection Share scheme Flexible holiday allowance with option to purchase additional leave Enhanced family-friendly benefits Study support and professional development funding Green car scheme Season ticket loans Volunteering days Gym and lifestyle discounts Comprehensive wellbeing and inclusion initiatives Apply Now This is an excellent opportunity for an experienced Xplan specialist and engineering leader to shape the future of financial planning technology within a growing and highly respected wealth management environment. To discuss the role in confidence, please contact us today. If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
Position: Senior Salesforce Developer Employment Type: Permanent Start: ASAP(September/October 2026) Location: London, UK (Hybrid, 2 days per week office) Language(s): English Focus on SAP is a specialist SAP and ERP Recruitment organisation offering both permanent and contract staffing solutions on a global scale. Client - Partnered with a global leader in digital transformation and IT services, working with some of the world's largest organisations. The business delivers complex technology transformation programmes that require innovation, collaboration and thought leadership. Role - We are seeking an experienced Senior Salesforce Developer to design and deliver scalable, enterprise-grade Salesforce solutions across a complex digital transformation environment. This senior, hands-on role requires strong expertise across Apex, Lightning Web Components (LWC), Salesforce integrations and platform development , with experience across Sales Cloud, Service Cloud, Experience Cloud and Data Cloud . You will lead the technical delivery of complex Salesforce solutions, including Agentforce and Agentic AI capabilities , working closely with Architects, Business Analysts and stakeholders to translate business requirements into secure, scalable and high-performing solutions. Key Responsibilities: Salesforce Development & Engineering Lead the design and development of enterprise Salesforce solutions across Sales Cloud, Service Cloud, Experience Cloud and Data Cloud . Develop scalable solutions using Apex, Lightning Web Components (LWC), Visualforce, SOQL/SOSL, triggers, controllers and Salesforce platform technologies . Design reusable development frameworks and components, ensuring high standards across code quality, performance, testing and maintainability . Implement complex Salesforce configuration, automation, workflows, approvals, validation rules and security controls . Agentforce, AI & Data Cloud Design and develop Salesforce Agentforce and Agentic AI solutions , integrating AI-enabled capabilities into enterprise Salesforce processes. Support Salesforce Data Cloud solutions and data-driven use cases across the wider Salesforce ecosystem. Drive adoption of modern Salesforce capabilities and development best practices. Integration & Technical Delivery Design and develop Salesforce integrations using REST APIs, SOAP APIs, Platform Events and enterprise integration patterns . Lead technical delivery across integrations, data migration, custom development and third-party applications . Support Salesforce DX, CI/CD and deployment processes , troubleshooting complex platform, application and integration issues. Technical Leadership Collaborate with Salesforce Architects, Business Analysts and stakeholders to translate complex requirements into effective technical solutions. Provide technical leadership across Salesforce programmes, contributing to solution design, development standards, code reviews and engineering best practices . Drive continuous improvement across development, automation, platform performance and technical delivery. Key Skills: Extensive hands-on experience delivering enterprise Salesforce solutions , with strong development expertise across Apex, Lightning Web Components (LWC), Visualforce, SOQL/SOSL, triggers, controllers and web services . Strong experience across Sales Cloud, Service Cloud, Experience Cloud and Data Cloud , including delivery of large-scale Experience Cloud implementations . Proven experience designing and implementing Salesforce Agentforce and Agentic AI solutions , with an understanding of how AI capabilities integrate into enterprise Salesforce processes. Strong knowledge of Salesforce architecture, administration, configuration, security models, workflow automation, validation rules and data management . Experience designing and supporting enterprise integrations using REST/SOAP APIs , alongside strong knowledge of Salesforce integration and application development patterns. Strong experience with asynchronous Apex , including Batch Apex, Queueable Apex and Future Methods, alongside performance optimisation and complex debugging. Experience with Salesforce DX, Connected Apps, CI/CD and deployment tooling , with a strong understanding of modern Salesforce development and release practices. Strong understanding of relational databases, data modelling and enterprise application development , combined with excellent stakeholder management and communication skills. If you are interested or would like to know more, please email (see below) with your CV and availability to speak. Applicants must be a UK resident and holds a valid right to work status.
Aug 19, 2026
Full time
Position: Senior Salesforce Developer Employment Type: Permanent Start: ASAP(September/October 2026) Location: London, UK (Hybrid, 2 days per week office) Language(s): English Focus on SAP is a specialist SAP and ERP Recruitment organisation offering both permanent and contract staffing solutions on a global scale. Client - Partnered with a global leader in digital transformation and IT services, working with some of the world's largest organisations. The business delivers complex technology transformation programmes that require innovation, collaboration and thought leadership. Role - We are seeking an experienced Senior Salesforce Developer to design and deliver scalable, enterprise-grade Salesforce solutions across a complex digital transformation environment. This senior, hands-on role requires strong expertise across Apex, Lightning Web Components (LWC), Salesforce integrations and platform development , with experience across Sales Cloud, Service Cloud, Experience Cloud and Data Cloud . You will lead the technical delivery of complex Salesforce solutions, including Agentforce and Agentic AI capabilities , working closely with Architects, Business Analysts and stakeholders to translate business requirements into secure, scalable and high-performing solutions. Key Responsibilities: Salesforce Development & Engineering Lead the design and development of enterprise Salesforce solutions across Sales Cloud, Service Cloud, Experience Cloud and Data Cloud . Develop scalable solutions using Apex, Lightning Web Components (LWC), Visualforce, SOQL/SOSL, triggers, controllers and Salesforce platform technologies . Design reusable development frameworks and components, ensuring high standards across code quality, performance, testing and maintainability . Implement complex Salesforce configuration, automation, workflows, approvals, validation rules and security controls . Agentforce, AI & Data Cloud Design and develop Salesforce Agentforce and Agentic AI solutions , integrating AI-enabled capabilities into enterprise Salesforce processes. Support Salesforce Data Cloud solutions and data-driven use cases across the wider Salesforce ecosystem. Drive adoption of modern Salesforce capabilities and development best practices. Integration & Technical Delivery Design and develop Salesforce integrations using REST APIs, SOAP APIs, Platform Events and enterprise integration patterns . Lead technical delivery across integrations, data migration, custom development and third-party applications . Support Salesforce DX, CI/CD and deployment processes , troubleshooting complex platform, application and integration issues. Technical Leadership Collaborate with Salesforce Architects, Business Analysts and stakeholders to translate complex requirements into effective technical solutions. Provide technical leadership across Salesforce programmes, contributing to solution design, development standards, code reviews and engineering best practices . Drive continuous improvement across development, automation, platform performance and technical delivery. Key Skills: Extensive hands-on experience delivering enterprise Salesforce solutions , with strong development expertise across Apex, Lightning Web Components (LWC), Visualforce, SOQL/SOSL, triggers, controllers and web services . Strong experience across Sales Cloud, Service Cloud, Experience Cloud and Data Cloud , including delivery of large-scale Experience Cloud implementations . Proven experience designing and implementing Salesforce Agentforce and Agentic AI solutions , with an understanding of how AI capabilities integrate into enterprise Salesforce processes. Strong knowledge of Salesforce architecture, administration, configuration, security models, workflow automation, validation rules and data management . Experience designing and supporting enterprise integrations using REST/SOAP APIs , alongside strong knowledge of Salesforce integration and application development patterns. Strong experience with asynchronous Apex , including Batch Apex, Queueable Apex and Future Methods, alongside performance optimisation and complex debugging. Experience with Salesforce DX, Connected Apps, CI/CD and deployment tooling , with a strong understanding of modern Salesforce development and release practices. Strong understanding of relational databases, data modelling and enterprise application development , combined with excellent stakeholder management and communication skills. If you are interested or would like to know more, please email (see below) with your CV and availability to speak. Applicants must be a UK resident and holds a valid right to work status.
Aioi R&D Lab Oxford is an AI R&D company based in Oxford, on a mission to harness AI to understand, predict, and manage risk, helping build a safer, more resilient society. We sit at the intersection of academia and industry, working with Oxford's professors, researchers, and graduates alongside commercial spinouts and partner companies, to turn frontier research into AI that actually ships rather than just gets published. Our work spans applied AI for insurance and adjacent industries, including supply chains, nature, autonomous driving, and the emerging challenges nobody's solved yet, alongside deep research of our own into agentic AI, privacy-preserving technologies, trustworthy AI, complex systems modelling, and quantum computing. We build AI products and solutions for insurers, businesses, and public-sector organisations worldwide, and run innovative research projects that push these technologies further, helping people make better decisions in an uncertain world. The Senior AI Commercialisation Strategist will support the successful delivery of Track 5 Commercialisation & Value within the CODAS R&D Programme: a large-scale, multi-partner, international AI research programme backed by the Japanese government and major industry partners. The role will lead the commercialisation strategy for Track 5, acting as the primary interface between research and industry to ensure programme outputs are translated into commercially viable opportunities. The role will work closely with researchers, engineers, industry stakeholders and programme partners to identify high-value use cases, develop evidence-based commercial propositions and business cases, and define commercial pathways that maximise the impact of programme outputs. The purpose of the role is to ensure: Research in privacy-preserving methods for AI is translated into practical business opportunities. Commercial use cases are identified, validated and prioritised with industry stakeholders. Business cases are developed, demonstrating measurable business value and return on investment. Research outputs have clear commercialisation pathways aligned to insurance and financial services. Provide strategic recommendations on the prioritisation of commercial opportunities, influencing programme investment and future research direction. Strong collaboration is maintained between technical research teams, business stakeholders and external partners to maximise programme impact. Responsibilities Opportunity & Market Validation Lead the identification, evaluation and prioritisation of commercially viable opportunities arising from programme research outputs. Validate commercial applications with insurers, industry partners and business stakeholders. Develop and maintain a commercialisation roadmap for programme research outputs. Commercial Value Assessment Work with insurers, business stakeholders and SMEs to understand operational challenges. Translate programme research outputs into measurable business outcomes. Quantify commercial benefits including cost reduction, operational efficiency, customer experience, risk reduction, revenue generation and competitive advantage. Lead the development of executive-level commercial propositions and business cases that inform investment and commercialisation decisions. Technical Translation Build strong relationships with relevant stakeholders within the tracks. Understand emerging AI technologies sufficiently to explain them to non-technical audiences. Translate complex AI concepts into business language supported by a Business Analyst who will undertake detailed analysis, documentation and requirements gathering. Market & Industry Analysis Monitor developments across emerging AI technologies relevant to the programme. Assess emerging technologies and market trends for applicability within insurance and financial services. Identify future commercial opportunities arising from advances in AI research. Stakeholder Management Build relationships with programme teams and business stakeholders. Facilitate workshops to identify business needs and validate opportunities Programme Support Lead the commercialisation strategy for Track 5. Shape the programme's long-term commercial roadmap. Influence programme investment decisions through commercial insight and market intelligence. Represent Track 5 at executive and strategic governance forums where required. Knowledge, Experience and Qualifications Commercial Experience developing executive-level business cases and influencing strategic investment decisions. Demonstrated ability to shape commercial strategy for emerging technologies. Ability to quantify business value and ROI. Experience working with senior stakeholders. A product development mindset, with ability to identify opportunities in a complex technical space. Technical Good understanding of AI and machine learning concepts. Ability to understand emerging AI technologies quickly. Comfortable discussing technical topics with engineers and researchers. Able to translate technical detail into business language. (The role does not require hands-on model development or software engineering experience.) Industry Experience within one or more of: Insurance Financial Services Technology Consulting AI Product Management Innovation Stakeholder Skills Excellent communication skills. Strong workshop facilitation. Influencing without authority. Relationship building. Why Join Us? We're committed to your growth, providing the support to excel in your current role whilst offering opportunities to step into new challenges and drive your career forward. We realise that we need to be a good fit for you above all else so here s what you can enjoy about AND-E: Recognised as the Best Large Insurance Employer: We are proud to have been named the Best Large Insurance Employer for 2023 at the prestigious British Insurance Awards. Unmatched Work-Life Balance. Competitive Salaries and Benefits Package: We offer competitive salaries that recognise your skills and expertise. We champion choice, flexibility, and balance in both work and home life. Our commitment to diversity, equity, and inclusion ensures everyone feels valued and supported including embracing neurodiversity and providing the tools needed to thrive. Our community s unwritten rule is to be as flexible as we can be. We understand life happens, and on We like to think our benefits package is one of the best, focusing on colleagues health, wealth, and lifestyle. We offer: Up to 28 Days annual leave with the option to buy/sell up to 5 days holiday Healix Private Medical Insurance Options 3 x Annual Salary Life Assurance Health and Well-being Support: Including money back on health expenses (optician, dental, physio), free flu jab voucher, 24/7 virtual GP service, employee assistance programme, and enhanced family-friendly policies (e.g. £200 baby bonus). Financial and Lifestyle Benefits: Offers £250 towards driving lessons , interest-free season ticket loan , cycle scheme with discounts, Wagestream for financial flexibility , and pension advisory services for retirement planning. Subject to company performance and completion of probation Aioi Nissay Dowa Europe is committed to promoting equal opportunities in employment. Employees and job applicants will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation (Protected Characteristics). At AND-E, equal opportunity is more than a policy it s a promise. We welcome applications from all individuals regardless of age, disability, gender identity, marital status, pregnancy, race, religion, sexual orientation, or any other protected characteristic. Reasonable adjustments: If you require any adjustments to support you during our recruitment process, please let us know. We re committed to making the process accessible and are happy to help.
Aug 18, 2026
Contractor
Aioi R&D Lab Oxford is an AI R&D company based in Oxford, on a mission to harness AI to understand, predict, and manage risk, helping build a safer, more resilient society. We sit at the intersection of academia and industry, working with Oxford's professors, researchers, and graduates alongside commercial spinouts and partner companies, to turn frontier research into AI that actually ships rather than just gets published. Our work spans applied AI for insurance and adjacent industries, including supply chains, nature, autonomous driving, and the emerging challenges nobody's solved yet, alongside deep research of our own into agentic AI, privacy-preserving technologies, trustworthy AI, complex systems modelling, and quantum computing. We build AI products and solutions for insurers, businesses, and public-sector organisations worldwide, and run innovative research projects that push these technologies further, helping people make better decisions in an uncertain world. The Senior AI Commercialisation Strategist will support the successful delivery of Track 5 Commercialisation & Value within the CODAS R&D Programme: a large-scale, multi-partner, international AI research programme backed by the Japanese government and major industry partners. The role will lead the commercialisation strategy for Track 5, acting as the primary interface between research and industry to ensure programme outputs are translated into commercially viable opportunities. The role will work closely with researchers, engineers, industry stakeholders and programme partners to identify high-value use cases, develop evidence-based commercial propositions and business cases, and define commercial pathways that maximise the impact of programme outputs. The purpose of the role is to ensure: Research in privacy-preserving methods for AI is translated into practical business opportunities. Commercial use cases are identified, validated and prioritised with industry stakeholders. Business cases are developed, demonstrating measurable business value and return on investment. Research outputs have clear commercialisation pathways aligned to insurance and financial services. Provide strategic recommendations on the prioritisation of commercial opportunities, influencing programme investment and future research direction. Strong collaboration is maintained between technical research teams, business stakeholders and external partners to maximise programme impact. Responsibilities Opportunity & Market Validation Lead the identification, evaluation and prioritisation of commercially viable opportunities arising from programme research outputs. Validate commercial applications with insurers, industry partners and business stakeholders. Develop and maintain a commercialisation roadmap for programme research outputs. Commercial Value Assessment Work with insurers, business stakeholders and SMEs to understand operational challenges. Translate programme research outputs into measurable business outcomes. Quantify commercial benefits including cost reduction, operational efficiency, customer experience, risk reduction, revenue generation and competitive advantage. Lead the development of executive-level commercial propositions and business cases that inform investment and commercialisation decisions. Technical Translation Build strong relationships with relevant stakeholders within the tracks. Understand emerging AI technologies sufficiently to explain them to non-technical audiences. Translate complex AI concepts into business language supported by a Business Analyst who will undertake detailed analysis, documentation and requirements gathering. Market & Industry Analysis Monitor developments across emerging AI technologies relevant to the programme. Assess emerging technologies and market trends for applicability within insurance and financial services. Identify future commercial opportunities arising from advances in AI research. Stakeholder Management Build relationships with programme teams and business stakeholders. Facilitate workshops to identify business needs and validate opportunities Programme Support Lead the commercialisation strategy for Track 5. Shape the programme's long-term commercial roadmap. Influence programme investment decisions through commercial insight and market intelligence. Represent Track 5 at executive and strategic governance forums where required. Knowledge, Experience and Qualifications Commercial Experience developing executive-level business cases and influencing strategic investment decisions. Demonstrated ability to shape commercial strategy for emerging technologies. Ability to quantify business value and ROI. Experience working with senior stakeholders. A product development mindset, with ability to identify opportunities in a complex technical space. Technical Good understanding of AI and machine learning concepts. Ability to understand emerging AI technologies quickly. Comfortable discussing technical topics with engineers and researchers. Able to translate technical detail into business language. (The role does not require hands-on model development or software engineering experience.) Industry Experience within one or more of: Insurance Financial Services Technology Consulting AI Product Management Innovation Stakeholder Skills Excellent communication skills. Strong workshop facilitation. Influencing without authority. Relationship building. Why Join Us? We're committed to your growth, providing the support to excel in your current role whilst offering opportunities to step into new challenges and drive your career forward. We realise that we need to be a good fit for you above all else so here s what you can enjoy about AND-E: Recognised as the Best Large Insurance Employer: We are proud to have been named the Best Large Insurance Employer for 2023 at the prestigious British Insurance Awards. Unmatched Work-Life Balance. Competitive Salaries and Benefits Package: We offer competitive salaries that recognise your skills and expertise. We champion choice, flexibility, and balance in both work and home life. Our commitment to diversity, equity, and inclusion ensures everyone feels valued and supported including embracing neurodiversity and providing the tools needed to thrive. Our community s unwritten rule is to be as flexible as we can be. We understand life happens, and on We like to think our benefits package is one of the best, focusing on colleagues health, wealth, and lifestyle. We offer: Up to 28 Days annual leave with the option to buy/sell up to 5 days holiday Healix Private Medical Insurance Options 3 x Annual Salary Life Assurance Health and Well-being Support: Including money back on health expenses (optician, dental, physio), free flu jab voucher, 24/7 virtual GP service, employee assistance programme, and enhanced family-friendly policies (e.g. £200 baby bonus). Financial and Lifestyle Benefits: Offers £250 towards driving lessons , interest-free season ticket loan , cycle scheme with discounts, Wagestream for financial flexibility , and pension advisory services for retirement planning. Subject to company performance and completion of probation Aioi Nissay Dowa Europe is committed to promoting equal opportunities in employment. Employees and job applicants will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation (Protected Characteristics). At AND-E, equal opportunity is more than a policy it s a promise. We welcome applications from all individuals regardless of age, disability, gender identity, marital status, pregnancy, race, religion, sexual orientation, or any other protected characteristic. Reasonable adjustments: If you require any adjustments to support you during our recruitment process, please let us know. We re committed to making the process accessible and are happy to help.
Location: London / Coventry UK (Hybrid) Mode of working: Hybrid (2-3 days onsite, 1-2 days remote) Duration: Long Term (3 yrs). Initial contract will be for 1 Year Are you an AI Expert with strong experience in designing, developing, and deploying applications using Vercel v0 , Next.js, React, and TypeScript? Do you have a good understanding of AI-powered application development, prompt engineering, reusable UI components, and rapid prototyping? Experience in requirements gathering, solution design, development, testing, deployment, training, and documentation and expertise in building responsive and scalable web applications using React, Next.js, Tailwind CSS, and ShadCN UI? If Yes to all the above then this is a role for you! Our client is urgently seeking an AI Expert who possesses strong experience with Vercel v0 for AI-generated UI and application development. The role requires the candidate to Build intelligent applications that leverage Generative AI and Large Language Models (LLMs), Develop AI workflows, prompt engineering frameworks, and agentic capabilities, Implement responsible AI practices, security controls, and monitoring Essential Skills, Knowledge & Experience: Deep understanding in the following functional area to drive design & realisation phase. Strong experience in designing, developing, and deploying applications using Vercel v0, Next.js, React, and TypeScript. Good understanding of AI-powered application development, prompt engineering, reusable UI components, and rapid prototyping. Experience in requirements gathering, solution design, development, testing, deployment, training, and documentation. Expertise in building responsive and scalable web applications using React, Next.js, Tailwind CSS, and ShadCN UI. Strong knowledge of REST APIs, GraphQL, API integrations, authentication, and serverless architectures. Experience integrating OpenAI, Azure OpenAI, Copilot Studio, LangChain, and AI Agent frameworks. Good understanding of RAG, vector databases, and conversational AI solutions. Hands-on experience with cloud deployment using Vercel, Azure, GitHub Actions, Docker, and CI/CD pipelines. Knowledge of application security, including OAuth, SSO, API Security, and OWASP best practices. Experience with databases such as PostgreSQL, SQL Server, MongoDB, and Redis. Ability to provide technical leadership, architecture guidance, code reviews, and mentorship to development teams. Your responsibilities: Lead the design, development, and deployment of AI-powered web applications using Vercel v0, Next.js, React, and TypeScript . Translate business requirements into scalable, secure, and production-ready solutions. Drive rapid application development through AI-assisted tools and reusable component frameworks. Design and develop responsive user interfaces, APIs, and cloud-native application architectures. Integrate AI capabilities using OpenAI, Azure OpenAI, Copilot Studio, and AI agent frameworks . Collaborate with business stakeholders, architects, UX designers, and development teams to deliver solutions. Lead requirements gathering, technical design, development, testing, deployment, and production support activities. Establish and enforce coding standards, development best practices, and application security guidelines. Build and manage CI/CD pipelines, automated deployments, and cloud-hosted environments. Perform code reviews, troubleshoot technical issues, and optimize application performance. Mentor development teams and provide technical leadership throughout project lifecycles. Evaluate emerging AI and web technologies to drive innovation and improve development productivity. Ensure compliance with security, scalability, governance, and enterprise architecture standards.
Aug 18, 2026
Contractor
Location: London / Coventry UK (Hybrid) Mode of working: Hybrid (2-3 days onsite, 1-2 days remote) Duration: Long Term (3 yrs). Initial contract will be for 1 Year Are you an AI Expert with strong experience in designing, developing, and deploying applications using Vercel v0 , Next.js, React, and TypeScript? Do you have a good understanding of AI-powered application development, prompt engineering, reusable UI components, and rapid prototyping? Experience in requirements gathering, solution design, development, testing, deployment, training, and documentation and expertise in building responsive and scalable web applications using React, Next.js, Tailwind CSS, and ShadCN UI? If Yes to all the above then this is a role for you! Our client is urgently seeking an AI Expert who possesses strong experience with Vercel v0 for AI-generated UI and application development. The role requires the candidate to Build intelligent applications that leverage Generative AI and Large Language Models (LLMs), Develop AI workflows, prompt engineering frameworks, and agentic capabilities, Implement responsible AI practices, security controls, and monitoring Essential Skills, Knowledge & Experience: Deep understanding in the following functional area to drive design & realisation phase. Strong experience in designing, developing, and deploying applications using Vercel v0, Next.js, React, and TypeScript. Good understanding of AI-powered application development, prompt engineering, reusable UI components, and rapid prototyping. Experience in requirements gathering, solution design, development, testing, deployment, training, and documentation. Expertise in building responsive and scalable web applications using React, Next.js, Tailwind CSS, and ShadCN UI. Strong knowledge of REST APIs, GraphQL, API integrations, authentication, and serverless architectures. Experience integrating OpenAI, Azure OpenAI, Copilot Studio, LangChain, and AI Agent frameworks. Good understanding of RAG, vector databases, and conversational AI solutions. Hands-on experience with cloud deployment using Vercel, Azure, GitHub Actions, Docker, and CI/CD pipelines. Knowledge of application security, including OAuth, SSO, API Security, and OWASP best practices. Experience with databases such as PostgreSQL, SQL Server, MongoDB, and Redis. Ability to provide technical leadership, architecture guidance, code reviews, and mentorship to development teams. Your responsibilities: Lead the design, development, and deployment of AI-powered web applications using Vercel v0, Next.js, React, and TypeScript . Translate business requirements into scalable, secure, and production-ready solutions. Drive rapid application development through AI-assisted tools and reusable component frameworks. Design and develop responsive user interfaces, APIs, and cloud-native application architectures. Integrate AI capabilities using OpenAI, Azure OpenAI, Copilot Studio, and AI agent frameworks . Collaborate with business stakeholders, architects, UX designers, and development teams to deliver solutions. Lead requirements gathering, technical design, development, testing, deployment, and production support activities. Establish and enforce coding standards, development best practices, and application security guidelines. Build and manage CI/CD pipelines, automated deployments, and cloud-hosted environments. Perform code reviews, troubleshoot technical issues, and optimize application performance. Mentor development teams and provide technical leadership throughout project lifecycles. Evaluate emerging AI and web technologies to drive innovation and improve development productivity. Ensure compliance with security, scalability, governance, and enterprise architecture standards.
Director of Applications London Hybrid £ Role Summary The client's Digital function exists to enable the client's global mission by ensuring our people have the platforms, applications and engineering capability to operate effectively at scale. Following a period of foundational delivery, including Cyber Essentials+ certification, a live SOC, Salesforce as our CRM platform, stabilisation of our Workday investment, and building our data warehouse foundations, Digital is moving into a phase focused on platform maturity, AI-enabled operations and engineering excellence. The Director of Applications is a new, senior role accountable for the availability, configuration and ongoing evolution of the client's core business platforms: Salesforce, Workday, and Microsoft 365 / Azure, together with the engineering practice, AI platform operations and platform-level roadmaps that underpin them. Reporting to the CTO, this role leads the Applications function, owns the platform Centre of Excellence, and translates business needs into delivered platform capability. You will have deep expertise in SaaS platforms, modern engineering practice (CI/CD, source control, environment and release management, test automation) and the operational realities of running mission-critical systems globally, working closely with the CTO, Head of Digital Transformation & Performance, Enterprise Architect, Director of Security & Compliance, and platform leads. Key Responsibilities Platform Leadership Accountable for availability, configuration and management of the client's three strategic platforms: Salesforce, Workday, and Microsoft 365 / Azure Own platform-level roadmaps enabling delivery of the Digital Roadmap, with the Digital Leadership Team and Platform Leads Establish and lead the platform Centre of Excellence and internal community across platform leads and developers Line management responsibility for the Build team Engineering Practice Own engineering practice: source control/repo governance (GitHub, Salesforce via Gearset), CI/CD, environment management, release management, test strategy/automation Define and enforce technical execution standards for releases, distinct from change control approval Define and lead engineering standards, architectural patterns and Infrastructure as Code AI Platform Operations Accountable for operational availability of internal AI platforms (Claude, Agentforce, AI assistants) and AI consumption cost/budget management Own AI usage monitoring: drift, hallucination and misuse pattern detection, with the Director of Security & Compliance Provide the operational foundation for Agentic AI and Generative AI capability pillars Capacity & Observability Own scaling, rightsizing and optimisation of cloud and SaaS resources Own application monitoring, alerting and on-call response for in-scope platforms Lead cross-platform test strategy and quality standards Cross-Functional Working Translate business needs (Digital Roadmap) into platform-level delivery (Platform Roadmaps) Partner on identity, access, secret management and DevSecOps practices in CI/CD Partner with the Enterprise Architect on technical decisions and integration patterns Support the CTO with investment cases, vendor negotiation and executive reporting Person Specification Significant senior leadership experience running enterprise application functions globally Deep expertise in at least two of: Salesforce, Workday, Microsoft 365/Azure or AWS (configuration, integration, governance, licensing, support) Experience embedding CI/CD, source control governance, environment/release management, automated testing in a SaaS-heavy environment Track record building and running Centres of Excellence around major platforms Experience operationalising AI platforms and managing AI consumption cost is a strong advantage Strong understanding of how applications-layer decisions intersect with security, identity, data and architecture Experience managing technical leads and platform specialists, with a track record of developing them Comfortable operating at executive level on investment cases and roadmap trade-offs Pragmatic and delivery-oriented; able to defend decisions on engineering investment Open, progressive, bold and pragmatic - an optimistic changemaker aligned with the client's core beliefs Oscar Associates (UK) Limited is acting as an Employment Agency in relation to this vacancy. To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.
Aug 18, 2026
Full time
Director of Applications London Hybrid £ Role Summary The client's Digital function exists to enable the client's global mission by ensuring our people have the platforms, applications and engineering capability to operate effectively at scale. Following a period of foundational delivery, including Cyber Essentials+ certification, a live SOC, Salesforce as our CRM platform, stabilisation of our Workday investment, and building our data warehouse foundations, Digital is moving into a phase focused on platform maturity, AI-enabled operations and engineering excellence. The Director of Applications is a new, senior role accountable for the availability, configuration and ongoing evolution of the client's core business platforms: Salesforce, Workday, and Microsoft 365 / Azure, together with the engineering practice, AI platform operations and platform-level roadmaps that underpin them. Reporting to the CTO, this role leads the Applications function, owns the platform Centre of Excellence, and translates business needs into delivered platform capability. You will have deep expertise in SaaS platforms, modern engineering practice (CI/CD, source control, environment and release management, test automation) and the operational realities of running mission-critical systems globally, working closely with the CTO, Head of Digital Transformation & Performance, Enterprise Architect, Director of Security & Compliance, and platform leads. Key Responsibilities Platform Leadership Accountable for availability, configuration and management of the client's three strategic platforms: Salesforce, Workday, and Microsoft 365 / Azure Own platform-level roadmaps enabling delivery of the Digital Roadmap, with the Digital Leadership Team and Platform Leads Establish and lead the platform Centre of Excellence and internal community across platform leads and developers Line management responsibility for the Build team Engineering Practice Own engineering practice: source control/repo governance (GitHub, Salesforce via Gearset), CI/CD, environment management, release management, test strategy/automation Define and enforce technical execution standards for releases, distinct from change control approval Define and lead engineering standards, architectural patterns and Infrastructure as Code AI Platform Operations Accountable for operational availability of internal AI platforms (Claude, Agentforce, AI assistants) and AI consumption cost/budget management Own AI usage monitoring: drift, hallucination and misuse pattern detection, with the Director of Security & Compliance Provide the operational foundation for Agentic AI and Generative AI capability pillars Capacity & Observability Own scaling, rightsizing and optimisation of cloud and SaaS resources Own application monitoring, alerting and on-call response for in-scope platforms Lead cross-platform test strategy and quality standards Cross-Functional Working Translate business needs (Digital Roadmap) into platform-level delivery (Platform Roadmaps) Partner on identity, access, secret management and DevSecOps practices in CI/CD Partner with the Enterprise Architect on technical decisions and integration patterns Support the CTO with investment cases, vendor negotiation and executive reporting Person Specification Significant senior leadership experience running enterprise application functions globally Deep expertise in at least two of: Salesforce, Workday, Microsoft 365/Azure or AWS (configuration, integration, governance, licensing, support) Experience embedding CI/CD, source control governance, environment/release management, automated testing in a SaaS-heavy environment Track record building and running Centres of Excellence around major platforms Experience operationalising AI platforms and managing AI consumption cost is a strong advantage Strong understanding of how applications-layer decisions intersect with security, identity, data and architecture Experience managing technical leads and platform specialists, with a track record of developing them Comfortable operating at executive level on investment cases and roadmap trade-offs Pragmatic and delivery-oriented; able to defend decisions on engineering investment Open, progressive, bold and pragmatic - an optimistic changemaker aligned with the client's core beliefs Oscar Associates (UK) Limited is acting as an Employment Agency in relation to this vacancy. To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.
Research Scientist/Engineer - Agent Systems & Reinforcement Learning Location: London Salary: (phone number removed) per annum + permanent benefits + bonus Job Type: Permanent, Full-Time, On-site About the Opportunity We are partnering with a leading AI research organisation focused on developing sustainable, generalisable and evolvable Agent systems that represent the next frontier of artificial intelligence. This team is exploring how autonomous AI agents can operate effectively across complex environments, continuously learn from experience, and improve their capabilities over extended periods of execution. This is an exceptional opportunity to join a world-class research environment working at the intersection of Agents, Large Language Models, Reinforcement Learning and Autonomous Systems , contributing to cutting-edge research that could play a significant role in advancing the path towards Artificial General Intelligence (AGI). You will work alongside internationally recognised researchers and engineers, with access to significant computational resources and the freedom to investigate ambitious research challenges while helping translate breakthrough ideas into practical AI systems. The Role As a key member of the research team, you will contribute to the design and development of next-generation Agent systems, focusing on long-term reasoning, memory, self-improvement and reinforcement learning-driven optimisation. Key Responsibilities Agent Memory & Long-Term Reasoning Design and develop advanced Agent memory architectures capable of supporting ultra-long context processing. Research techniques to mitigate memory degradation in long-running Agent environments. Improve information retrieval, storage and utilisation mechanisms to enhance long-term planning and decision-making. Explore scalable approaches for persistent memory systems across complex task environments. Agent Self-Evolution & Autonomous Learning Develop self-evolving Agent capabilities that enable continuous improvement through experience. Research unified Agent representations and optimisation frameworks to support autonomous adaptation. Build systems that facilitate iterative self-improvement and long-term learning. Contribute to the development of Agent Harness frameworks that enable scalable evolution of autonomous agents. Agentic Reinforcement Learning Investigate advanced reinforcement learning methodologies for Agent optimisation. Develop both parametric and non-parametric RL approaches to improve Agent performance. Build collaborative update pipelines connecting Agent policy models and Agent execution frameworks. Evaluate and improve learning efficiency across diverse environments and task domains. Research & Innovation Conduct novel research in Agent systems, Large Language Model reasoning and reinforcement learning. Publish findings and contribute to the broader AI research community. Collaborate with multidisciplinary teams to translate research breakthroughs into practical systems. Stay at the forefront of emerging developments within autonomous AI and intelligent agent technologies. About You Essential Requirements Bachelor's degree or higher in Computer Science, Artificial Intelligence, Mathematics, Statistics or a related technical discipline. Strong engineering implementation skills and/or deep theoretical foundations in machine learning and AI. Demonstrated expertise in at least one of the following areas: Agent Systems, Reinforcement Learning, Large Language Models, Autonomous AI or Reasoning Systems. Excellent programming skills, particularly in Python and modern machine learning frameworks. Strong analytical and problem-solving abilities with a passion for tackling complex research challenges. Excellent communication and collaboration skills within multidisciplinary research teams. Commitment to working within a highly ambitious and fast-paced research environment. First-author publications at leading conferences including NeurIPS, ICML, ICLR, ACL, EMNLP or equivalent. Desirable Requirements Experience conducting cutting-edge research in Agent systems, reinforcement learning or foundation models. High-impact research contributions, highly cited publications or influential open-source projects. Track record of success in relevant competitions such as Kaggle, ARC-AGI or similar AI benchmarks. Experience developing large-scale AI systems within industry, academia or advanced R&D environments.
Aug 18, 2026
Full time
Research Scientist/Engineer - Agent Systems & Reinforcement Learning Location: London Salary: (phone number removed) per annum + permanent benefits + bonus Job Type: Permanent, Full-Time, On-site About the Opportunity We are partnering with a leading AI research organisation focused on developing sustainable, generalisable and evolvable Agent systems that represent the next frontier of artificial intelligence. This team is exploring how autonomous AI agents can operate effectively across complex environments, continuously learn from experience, and improve their capabilities over extended periods of execution. This is an exceptional opportunity to join a world-class research environment working at the intersection of Agents, Large Language Models, Reinforcement Learning and Autonomous Systems , contributing to cutting-edge research that could play a significant role in advancing the path towards Artificial General Intelligence (AGI). You will work alongside internationally recognised researchers and engineers, with access to significant computational resources and the freedom to investigate ambitious research challenges while helping translate breakthrough ideas into practical AI systems. The Role As a key member of the research team, you will contribute to the design and development of next-generation Agent systems, focusing on long-term reasoning, memory, self-improvement and reinforcement learning-driven optimisation. Key Responsibilities Agent Memory & Long-Term Reasoning Design and develop advanced Agent memory architectures capable of supporting ultra-long context processing. Research techniques to mitigate memory degradation in long-running Agent environments. Improve information retrieval, storage and utilisation mechanisms to enhance long-term planning and decision-making. Explore scalable approaches for persistent memory systems across complex task environments. Agent Self-Evolution & Autonomous Learning Develop self-evolving Agent capabilities that enable continuous improvement through experience. Research unified Agent representations and optimisation frameworks to support autonomous adaptation. Build systems that facilitate iterative self-improvement and long-term learning. Contribute to the development of Agent Harness frameworks that enable scalable evolution of autonomous agents. Agentic Reinforcement Learning Investigate advanced reinforcement learning methodologies for Agent optimisation. Develop both parametric and non-parametric RL approaches to improve Agent performance. Build collaborative update pipelines connecting Agent policy models and Agent execution frameworks. Evaluate and improve learning efficiency across diverse environments and task domains. Research & Innovation Conduct novel research in Agent systems, Large Language Model reasoning and reinforcement learning. Publish findings and contribute to the broader AI research community. Collaborate with multidisciplinary teams to translate research breakthroughs into practical systems. Stay at the forefront of emerging developments within autonomous AI and intelligent agent technologies. About You Essential Requirements Bachelor's degree or higher in Computer Science, Artificial Intelligence, Mathematics, Statistics or a related technical discipline. Strong engineering implementation skills and/or deep theoretical foundations in machine learning and AI. Demonstrated expertise in at least one of the following areas: Agent Systems, Reinforcement Learning, Large Language Models, Autonomous AI or Reasoning Systems. Excellent programming skills, particularly in Python and modern machine learning frameworks. Strong analytical and problem-solving abilities with a passion for tackling complex research challenges. Excellent communication and collaboration skills within multidisciplinary research teams. Commitment to working within a highly ambitious and fast-paced research environment. First-author publications at leading conferences including NeurIPS, ICML, ICLR, ACL, EMNLP or equivalent. Desirable Requirements Experience conducting cutting-edge research in Agent systems, reinforcement learning or foundation models. High-impact research contributions, highly cited publications or influential open-source projects. Track record of success in relevant competitions such as Kaggle, ARC-AGI or similar AI benchmarks. Experience developing large-scale AI systems within industry, academia or advanced R&D environments.
Senior AI Engineer A high-growth, technology-led scale-up (backed by a global leading organisation) is expanding its engineering capability following a highly successful 2025. As part of significant continued investment, they are hiring a Senior AI Engineer to lead the design and development of next-generation AI products and services across Finance, supporting both internal operations and external platforms. This is an opportunity to work in a modern, cloud-native engineering environment, building intelligent agentic AI systems that can reason, plan and act autonomously. You will take ownership of solutions end-to-end; from design and architecture, through development and deployment, to optimisation and continuous improvement. You'll work closely with engineering, product and platform teams to embed Agentic AI and LLM-driven workflows into real-world products, contributing to architectural decisions, engineering standards and best practices. Location: Hybrid with twice per week travel to Leeds Salary: £90,000 to £100,000 + 15% Bonus + Excellent Benefits To be considered Strong experience as an AI Engineer / ML Engineer / Software Engineer with applied AI exposure. Hands-on Python development experience delivering production-grade systems. Practical experience building agentic AI workflows (LangGraph / LangChain or similar frameworks). Exposure to Knowledge Graphs (Neo4j / RDF / graph-based enrichment or retrieval). Experience integrating LLM APIs (OpenAI or similar), with prompt design and orchestration. This is an excellent opportunity for a senior engineer to build impactful Agentic AI systems, influence technical direction, and work within an organisation that is actively investing in AI as a core capability. To find out more, apply now or contact (url removed).
Aug 17, 2026
Full time
Senior AI Engineer A high-growth, technology-led scale-up (backed by a global leading organisation) is expanding its engineering capability following a highly successful 2025. As part of significant continued investment, they are hiring a Senior AI Engineer to lead the design and development of next-generation AI products and services across Finance, supporting both internal operations and external platforms. This is an opportunity to work in a modern, cloud-native engineering environment, building intelligent agentic AI systems that can reason, plan and act autonomously. You will take ownership of solutions end-to-end; from design and architecture, through development and deployment, to optimisation and continuous improvement. You'll work closely with engineering, product and platform teams to embed Agentic AI and LLM-driven workflows into real-world products, contributing to architectural decisions, engineering standards and best practices. Location: Hybrid with twice per week travel to Leeds Salary: £90,000 to £100,000 + 15% Bonus + Excellent Benefits To be considered Strong experience as an AI Engineer / ML Engineer / Software Engineer with applied AI exposure. Hands-on Python development experience delivering production-grade systems. Practical experience building agentic AI workflows (LangGraph / LangChain or similar frameworks). Exposure to Knowledge Graphs (Neo4j / RDF / graph-based enrichment or retrieval). Experience integrating LLM APIs (OpenAI or similar), with prompt design and orchestration. This is an excellent opportunity for a senior engineer to build impactful Agentic AI systems, influence technical direction, and work within an organisation that is actively investing in AI as a core capability. To find out more, apply now or contact (url removed).
Senior Enterprise Data & Analytics Manager London, Manchester or Glasgow / Hybrid 90k - 120k + bonus and benefits Are you a senior Data, AI or Analytics leader who can turn the potential of AI into measurable business transformation? This is an opportunity to join a forward-thinking AI Strategy team at the forefront of enterprise AI. You'll work with major organisati ons to move beyond experimentation, helping them embed Generative AI, Agentic AI, intelligent assistants and AI-enabled automation into the way they operate, make decisions and create value. You'll combine strategic thinking, consulting expertise and deep Data & AI knowledge to advise executive and C-suite stakeholders, shape enterprise AI strategies and lead transformation from strategy through to execution. What you'll be doing Lead enterprise AI transformation, identifying and prioritising high-value opportunities, shaping AI strategies, investment cases and roadmaps, and helping organisations progress from experimentation to enterprise-scale adoption. Advise senior stakeholders, acting as a trusted partner to business leaders and C-suite executives while translating complex AI opportunities into clear business outcomes, measurable value and adoption strategies. Design human-centred AI solutions, translating business challenges into AI-enabled products, agentic workflows and intelligent services, while integrating people, AI agents and business processes across customer, employee and operational experiences. Shape enterprise AI and data foundations, including AI-ready data platforms, semantic layers, data products and trusted knowledge assets, alongside architectures that enable AI agents to securely interact with enterprise systems and processes. Establish responsible AI at scale, shaping governance, security, evaluation and operational practices that make AI solutions reliable, safe and continuously improvable in production. Drive commercial and practice growth, leading proposals, RFPs, bids and client pitches, developing propositions and thought leadership, while contributing to recruitment, capability building, campaigns, whitepapers and internal innovation. Lead and develop high-performing teams, coaching talent, fostering inclusive and collaborative environments, and building new Data, AI and Agentic AI capabilities as the technology landscape evolves. What you'll bring Proven senior-level experience leading Data, Analytics and AI transformation, taking organisations from identifying opportunities through to enterprise adoption and measurable business impact. Strong understanding of Generative AI, Agentic AI, Retrieval Augmented Generation (RAG), intelligent assistants and AI-enabled automation, with awareness of major enterprise AI ecosystems such as OpenAI, Google, Anthropic and Microsoft. Experience shaping enterprise AI architectures and AI-ready data foundations, including cloud data platforms, semantic layers, data products, AI evaluation, security, governance and responsible AI. Significant consulting or senior client-facing experience, with the credibility to advise executive and C-suite stakeholders and communicate effectively across business, product and technical teams. Strong strategic and commercial acumen, including proposition development, opportunity shaping, bids and successful client engagement leadership. A track record of building and developing high-performing teams, leading through ambiguity and creating new capabilities in rapidly evolving technology environments. Desirable: Experience with agentic architectures, decision intelligence, human-centred AI operating models, thought leadership, recruitment and practice development, plus relevant Data/AI certifications or innovation experience. If you've held any of these roles or used these technologies/skills, this role could be a great fit: Senior AI Manager, AI Strategy Manager, AI Transformation Director, Senior Data & Analytics Manager, Data Strategy Director, Enterprise AI Consultant, AI Consulting Lead, Data & AI Strategy Consultant, Generative AI, GenAI, Agentic AI, AI Agents, RAG, Retrieval Augmented Generation, Decision Intelligence, Intelligent Automation, AI Operating Models, AI Architecture, Data Platforms, Semantic Layers, Data Products, Responsible AI, AI Governance, Cloud Data, Enterprise AI, OpenAI, Google AI, Anthropic, Microsoft AI. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
Aug 17, 2026
Full time
Senior Enterprise Data & Analytics Manager London, Manchester or Glasgow / Hybrid 90k - 120k + bonus and benefits Are you a senior Data, AI or Analytics leader who can turn the potential of AI into measurable business transformation? This is an opportunity to join a forward-thinking AI Strategy team at the forefront of enterprise AI. You'll work with major organisati ons to move beyond experimentation, helping them embed Generative AI, Agentic AI, intelligent assistants and AI-enabled automation into the way they operate, make decisions and create value. You'll combine strategic thinking, consulting expertise and deep Data & AI knowledge to advise executive and C-suite stakeholders, shape enterprise AI strategies and lead transformation from strategy through to execution. What you'll be doing Lead enterprise AI transformation, identifying and prioritising high-value opportunities, shaping AI strategies, investment cases and roadmaps, and helping organisations progress from experimentation to enterprise-scale adoption. Advise senior stakeholders, acting as a trusted partner to business leaders and C-suite executives while translating complex AI opportunities into clear business outcomes, measurable value and adoption strategies. Design human-centred AI solutions, translating business challenges into AI-enabled products, agentic workflows and intelligent services, while integrating people, AI agents and business processes across customer, employee and operational experiences. Shape enterprise AI and data foundations, including AI-ready data platforms, semantic layers, data products and trusted knowledge assets, alongside architectures that enable AI agents to securely interact with enterprise systems and processes. Establish responsible AI at scale, shaping governance, security, evaluation and operational practices that make AI solutions reliable, safe and continuously improvable in production. Drive commercial and practice growth, leading proposals, RFPs, bids and client pitches, developing propositions and thought leadership, while contributing to recruitment, capability building, campaigns, whitepapers and internal innovation. Lead and develop high-performing teams, coaching talent, fostering inclusive and collaborative environments, and building new Data, AI and Agentic AI capabilities as the technology landscape evolves. What you'll bring Proven senior-level experience leading Data, Analytics and AI transformation, taking organisations from identifying opportunities through to enterprise adoption and measurable business impact. Strong understanding of Generative AI, Agentic AI, Retrieval Augmented Generation (RAG), intelligent assistants and AI-enabled automation, with awareness of major enterprise AI ecosystems such as OpenAI, Google, Anthropic and Microsoft. Experience shaping enterprise AI architectures and AI-ready data foundations, including cloud data platforms, semantic layers, data products, AI evaluation, security, governance and responsible AI. Significant consulting or senior client-facing experience, with the credibility to advise executive and C-suite stakeholders and communicate effectively across business, product and technical teams. Strong strategic and commercial acumen, including proposition development, opportunity shaping, bids and successful client engagement leadership. A track record of building and developing high-performing teams, leading through ambiguity and creating new capabilities in rapidly evolving technology environments. Desirable: Experience with agentic architectures, decision intelligence, human-centred AI operating models, thought leadership, recruitment and practice development, plus relevant Data/AI certifications or innovation experience. If you've held any of these roles or used these technologies/skills, this role could be a great fit: Senior AI Manager, AI Strategy Manager, AI Transformation Director, Senior Data & Analytics Manager, Data Strategy Director, Enterprise AI Consultant, AI Consulting Lead, Data & AI Strategy Consultant, Generative AI, GenAI, Agentic AI, AI Agents, RAG, Retrieval Augmented Generation, Decision Intelligence, Intelligent Automation, AI Operating Models, AI Architecture, Data Platforms, Semantic Layers, Data Products, Responsible AI, AI Governance, Cloud Data, Enterprise AI, OpenAI, Google AI, Anthropic, Microsoft AI. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
