AI Governance Lead London - Hybrid £90,000 - £120,000 + bonus VIQU has partnered with a leading insurance organisation, undergoing significant data and AI transformation, as they continue to embed advanced analytics and AI capabilities across their business. They are now seeking a AI Governance Lead to join their Chief Data Office, responsible for establishing and embedding robust AI governance frameworks, ensuring the ethical and compliant use of AI, and enabling the organisation to scale AI adoption in a controlled and responsible way. This role will operate at the intersection of data science, risk, and regulation, working closely with senior stakeholders to drive innovation whilst managing risk in a highly regulated environment. Key Responsibilities of the AI Governance Lead: • Define and implement the organisation's AI governance framework, aligned to business objectives and regulatory requirements. • Establish policies and standards to ensure the responsible, ethical, and compliant use of AI across the organisation. • Identify, assess, and mitigate AI-related risks, including bias, privacy, and model explainability. • Develop governance models across key insurance use cases such as underwriting, pricing, claims, and fraud. • Implement controls, monitoring, and audit processes for AI models and data usage. • Ensure compliance with regulatory frameworks including GDPR, FCA guidelines, and emerging AI regulations. • Monitor AI model performance, accuracy, and fairness, implementing continuous improvement processes. • Develop reporting frameworks, dashboards, and governance metrics to provide visibility of AI risk and performance. • Collaborate with data science, technology, and risk teams to embed governance into AI development and deployment lifecycles. • Engage with senior stakeholders and executive leadership to communicate governance strategy, risks, and opportunities. Essential Requirements of the AI Governance Lead: • Proven experience leading AI or ML governance within insurance or financial services environments. • Strong background in data science, machine learning, or AI, with hands-on experience earlier in career. • Experience managing AI model development and deployment within regulated environments. • Strong understanding of insurance processes such as underwriting, pricing, claims, or fraud. • Knowledge of regulatory frameworks including GDPR, FCA, and AI governance standards. • Experience working with cloud platforms such as Azure, AWS, or Google Cloud. • Ability to translate complex business challenges into AI-driven solutions. • Strong stakeholder management skills, with experience operating at senior or executive level. • Understanding of actuarial principles and insurance analytics is highly desirable. • Relevant certifications in AI, machine learning, or data science would be advantageous. To discuss this exciting opportunity in more detail, please APPLY NOW for a no obligation chat with your VIQU Consultant. Additionally, you can contact Katie Dark on . If you know someone who would be ideal for this role, by way of showing our appreciation, VIQU is offering an introduction fee up to £1,000 once your referral has successfully started work with our client (terms apply). AI Governance Lead London - Hybrid £90,000 - £120,000 + bonus
Jun 12, 2026
Full time
AI Governance Lead London - Hybrid £90,000 - £120,000 + bonus VIQU has partnered with a leading insurance organisation, undergoing significant data and AI transformation, as they continue to embed advanced analytics and AI capabilities across their business. They are now seeking a AI Governance Lead to join their Chief Data Office, responsible for establishing and embedding robust AI governance frameworks, ensuring the ethical and compliant use of AI, and enabling the organisation to scale AI adoption in a controlled and responsible way. This role will operate at the intersection of data science, risk, and regulation, working closely with senior stakeholders to drive innovation whilst managing risk in a highly regulated environment. Key Responsibilities of the AI Governance Lead: • Define and implement the organisation's AI governance framework, aligned to business objectives and regulatory requirements. • Establish policies and standards to ensure the responsible, ethical, and compliant use of AI across the organisation. • Identify, assess, and mitigate AI-related risks, including bias, privacy, and model explainability. • Develop governance models across key insurance use cases such as underwriting, pricing, claims, and fraud. • Implement controls, monitoring, and audit processes for AI models and data usage. • Ensure compliance with regulatory frameworks including GDPR, FCA guidelines, and emerging AI regulations. • Monitor AI model performance, accuracy, and fairness, implementing continuous improvement processes. • Develop reporting frameworks, dashboards, and governance metrics to provide visibility of AI risk and performance. • Collaborate with data science, technology, and risk teams to embed governance into AI development and deployment lifecycles. • Engage with senior stakeholders and executive leadership to communicate governance strategy, risks, and opportunities. Essential Requirements of the AI Governance Lead: • Proven experience leading AI or ML governance within insurance or financial services environments. • Strong background in data science, machine learning, or AI, with hands-on experience earlier in career. • Experience managing AI model development and deployment within regulated environments. • Strong understanding of insurance processes such as underwriting, pricing, claims, or fraud. • Knowledge of regulatory frameworks including GDPR, FCA, and AI governance standards. • Experience working with cloud platforms such as Azure, AWS, or Google Cloud. • Ability to translate complex business challenges into AI-driven solutions. • Strong stakeholder management skills, with experience operating at senior or executive level. • Understanding of actuarial principles and insurance analytics is highly desirable. • Relevant certifications in AI, machine learning, or data science would be advantageous. To discuss this exciting opportunity in more detail, please APPLY NOW for a no obligation chat with your VIQU Consultant. Additionally, you can contact Katie Dark on . If you know someone who would be ideal for this role, by way of showing our appreciation, VIQU is offering an introduction fee up to £1,000 once your referral has successfully started work with our client (terms apply). AI Governance Lead London - Hybrid £90,000 - £120,000 + bonus
Staff Data Scientist 120K - 140K + Equity London Hybrid At Data Idols, we are working with a high-growth technology business using advanced data science, machine learning and operational intelligence to solve complex real-world movement and optimisation problems at scale. They are now looking for a Staff Data Scientist to lead the development of geospatial and movement intelligence products that sit at the heart of the business. The Opportunity This is a highly strategic individual contributor role focused on geospatial data, routing intelligence and operational optimisation. You will own the roadmap and technical direction for a critical data product area, helping the business better understand movement patterns, improve operational efficiency and build intelligent systems powered by real-world geographic data. You will work closely with Engineering, Product, Operational Research and Data Science teams, building scalable datasets, production-grade models and reusable data products used across the organisation. This role suits someone who enjoys solving ambiguous technical problems, working with large-scale operational datasets and building products that directly influence business performance. Skills and experience Strong Python and SQL skills Experience working with geospatial, routing or movement-related data Experience building production-grade data products or ML systems Strong stakeholder management and communication skills Experience working with large, complex or unstructured datasets Experience operating in fast-moving environments If you are looking for a new challenge and want to work on complex real-world data problems where your work directly influences operational performance and product strategy, please submit your CV for initial screening and further details. Staff Data Scientist
Jun 11, 2026
Full time
Staff Data Scientist 120K - 140K + Equity London Hybrid At Data Idols, we are working with a high-growth technology business using advanced data science, machine learning and operational intelligence to solve complex real-world movement and optimisation problems at scale. They are now looking for a Staff Data Scientist to lead the development of geospatial and movement intelligence products that sit at the heart of the business. The Opportunity This is a highly strategic individual contributor role focused on geospatial data, routing intelligence and operational optimisation. You will own the roadmap and technical direction for a critical data product area, helping the business better understand movement patterns, improve operational efficiency and build intelligent systems powered by real-world geographic data. You will work closely with Engineering, Product, Operational Research and Data Science teams, building scalable datasets, production-grade models and reusable data products used across the organisation. This role suits someone who enjoys solving ambiguous technical problems, working with large-scale operational datasets and building products that directly influence business performance. Skills and experience Strong Python and SQL skills Experience working with geospatial, routing or movement-related data Experience building production-grade data products or ML systems Strong stakeholder management and communication skills Experience working with large, complex or unstructured datasets Experience operating in fast-moving environments If you are looking for a new challenge and want to work on complex real-world data problems where your work directly influences operational performance and product strategy, please submit your CV for initial screening and further details. Staff Data Scientist
Systems Engineer Salary: 45,000- 50,000 Location: Oxfordshire (Hybrid - 3 days onsite) Permanent Full Time We are working with a fast-growing, well-funded deep-tech start-up developing next-generation safety and assurance technology for AI and autonomous systems. This is a unique opportunity to join a business at the forefront of innovation, building critical infrastructure that enables the safe deployment of advanced autonomous technologies across sectors such as aerospace and robotics. The organisation is scaling rapidly and is looking for a Systems Engineer to play a key role in shaping its technical direction, working closely with senior leadership and cross-functional engineering teams. This role would suit someone who thrives in a start-up environment, enjoys ownership and is motivated by solving complex, real-world engineering challenges. The Role As a Systems Engineer, you will contribute to the design and development of complex, safety-critical systems with an initial focus on autonomous and unmanned platforms. You'll take ownership of system architecture, ensuring integration across software and hardware components, while guiding projects through the full engineering lifecycle. Key Responsibilities Design and develop system architectures for advanced engineering solutions, particularly within autonomous systems Collaborate with multi-disciplinary teams including software, embedded, safety and machine learning engineers Conduct system-level analysis, trade-off studies and risk assessments Define and manage system requirements, interfaces and specifications Oversee implementation, integration, verification and validation activities Manage the full systems engineering lifecycle from concept through to delivery Support continuous improvement of engineering processes, tools and methodologies Key Skills & Experience Degree (BSc/MSc/PhD) in Computer Science, Aerospace Engineering, Electrical Engineering or similar Experience delivering complex, safety-critical systems Strong background in systems architecture and design Knowledge of systems engineering methodologies (e.g. MBSE / SysML) Understanding of software, embedded systems and real-time architectures Experience with safety and certification standards (e.g. DO-178C, DO-254, ARP4754A) Familiarity with regulatory frameworks within autonomous or aerospace systems Strong analytical, problem-solving and communication skills Eligibility to obtain UK security clearance and right to work in the UK Working Environment This is a high-growth, ambitious start-up where engineers are empowered to take ownership and contribute directly to the company's success. The team values collaboration, curiosity and technical excellence, and operates in a fast-paced environment where adaptability and initiative are key. You'll be part of a group building cutting-edge technology from the ground up, working on technically challenging problems with real-world impact. What's on Offer Competitive salary (DOE) Opportunity to work on industry-leading technology High-impact role within a scaling business Collaborative and innovative engineering environment Interested? Apply via the link or contact me directly on (url removed) to discuss the role in more detail. INDTECH DCS Recruitment and all associated companies are committed to creating a working environment where diversity is celebrated and everyone is treated fairly, regardless of gender, gender identity, disability, ethnic origin, religion or belief, sexual orientation, marital or transgender status, age, or nationality
Jun 11, 2026
Full time
Systems Engineer Salary: 45,000- 50,000 Location: Oxfordshire (Hybrid - 3 days onsite) Permanent Full Time We are working with a fast-growing, well-funded deep-tech start-up developing next-generation safety and assurance technology for AI and autonomous systems. This is a unique opportunity to join a business at the forefront of innovation, building critical infrastructure that enables the safe deployment of advanced autonomous technologies across sectors such as aerospace and robotics. The organisation is scaling rapidly and is looking for a Systems Engineer to play a key role in shaping its technical direction, working closely with senior leadership and cross-functional engineering teams. This role would suit someone who thrives in a start-up environment, enjoys ownership and is motivated by solving complex, real-world engineering challenges. The Role As a Systems Engineer, you will contribute to the design and development of complex, safety-critical systems with an initial focus on autonomous and unmanned platforms. You'll take ownership of system architecture, ensuring integration across software and hardware components, while guiding projects through the full engineering lifecycle. Key Responsibilities Design and develop system architectures for advanced engineering solutions, particularly within autonomous systems Collaborate with multi-disciplinary teams including software, embedded, safety and machine learning engineers Conduct system-level analysis, trade-off studies and risk assessments Define and manage system requirements, interfaces and specifications Oversee implementation, integration, verification and validation activities Manage the full systems engineering lifecycle from concept through to delivery Support continuous improvement of engineering processes, tools and methodologies Key Skills & Experience Degree (BSc/MSc/PhD) in Computer Science, Aerospace Engineering, Electrical Engineering or similar Experience delivering complex, safety-critical systems Strong background in systems architecture and design Knowledge of systems engineering methodologies (e.g. MBSE / SysML) Understanding of software, embedded systems and real-time architectures Experience with safety and certification standards (e.g. DO-178C, DO-254, ARP4754A) Familiarity with regulatory frameworks within autonomous or aerospace systems Strong analytical, problem-solving and communication skills Eligibility to obtain UK security clearance and right to work in the UK Working Environment This is a high-growth, ambitious start-up where engineers are empowered to take ownership and contribute directly to the company's success. The team values collaboration, curiosity and technical excellence, and operates in a fast-paced environment where adaptability and initiative are key. You'll be part of a group building cutting-edge technology from the ground up, working on technically challenging problems with real-world impact. What's on Offer Competitive salary (DOE) Opportunity to work on industry-leading technology High-impact role within a scaling business Collaborative and innovative engineering environment Interested? Apply via the link or contact me directly on (url removed) to discuss the role in more detail. INDTECH DCS Recruitment and all associated companies are committed to creating a working environment where diversity is celebrated and everyone is treated fairly, regardless of gender, gender identity, disability, ethnic origin, religion or belief, sexual orientation, marital or transgender status, age, or nationality
Head of Software Engineering (Scala) Manchester (Hybrid) | Permanent Up to £140,000 + 20% Bonus Lead the Future of AI Engineering An exciting opportunity has arisen to join a rapidly growing, global AI technology scale-up as their next Head of Software Engineering . Based in Manchester, you'll play a pivotal role in shaping the engineering function of an innovative business delivering cutting-edge AI solutions to customers around the world. This is an opportunity to combine strategic leadership with technical excellence, helping to scale both technology and teams during a period of significant growth. The Opportunity As Head of Software Engineering, you will lead a talented, small high-performing team of software engineers and technical specialists. You'll be responsible for setting the engineering direction, driving best practices, and ensuring the successful delivery of robust, scalable products that support the company's ambitious global growth plans. Working closely with senior stakeholders across the business, you'll help define the technology roadmap, foster a culture of collaboration and continuous improvement, and create an environment where engineers can thrive. Key Responsibilities Lead, mentor and develop a small team of software engineers and technical professionals. Define and execute the engineering strategy in alignment with business objectives. Drive the delivery of high-quality, scalable software solutions. Champion engineering excellence, modern development practices and continuous improvement. Collaborate with Product, Data and Leadership teams to shape product direction and technical priorities. Support recruitment, succession planning and capability development as the organisation scales. Ensure operational resilience, security and performance across engineering platforms. About You You'll be an experienced engineering leader who enjoys building empowered teams and delivering impactful technology solutions within fast-paced environments. You'll bring: Previous experience leading and developing software engineering teams. Strong stakeholder management and communication skills. A strategic mindset balanced with a hands-on understanding of modern software development. Experience working within high-growth technology businesses, ideally within a scale-up environment. Desirable Technical Experience Experience with the following technologies would be highly advantageous: Scala TypeScript AWS (Amazon Web Services) Exposure to AI, machine learning platforms, data-intensive applications or cloud-native architectures would also be beneficial. What's on Offer? Salary up to £140,000 20% annual bonus Hybrid working based in Manchester The opportunity to influence the future direction of a global AI scale-up. A collaborative, entrepreneurial culture where your ideas can make a real impact. Excellent opportunities for professional growth and leadership development.
Jun 11, 2026
Full time
Head of Software Engineering (Scala) Manchester (Hybrid) | Permanent Up to £140,000 + 20% Bonus Lead the Future of AI Engineering An exciting opportunity has arisen to join a rapidly growing, global AI technology scale-up as their next Head of Software Engineering . Based in Manchester, you'll play a pivotal role in shaping the engineering function of an innovative business delivering cutting-edge AI solutions to customers around the world. This is an opportunity to combine strategic leadership with technical excellence, helping to scale both technology and teams during a period of significant growth. The Opportunity As Head of Software Engineering, you will lead a talented, small high-performing team of software engineers and technical specialists. You'll be responsible for setting the engineering direction, driving best practices, and ensuring the successful delivery of robust, scalable products that support the company's ambitious global growth plans. Working closely with senior stakeholders across the business, you'll help define the technology roadmap, foster a culture of collaboration and continuous improvement, and create an environment where engineers can thrive. Key Responsibilities Lead, mentor and develop a small team of software engineers and technical professionals. Define and execute the engineering strategy in alignment with business objectives. Drive the delivery of high-quality, scalable software solutions. Champion engineering excellence, modern development practices and continuous improvement. Collaborate with Product, Data and Leadership teams to shape product direction and technical priorities. Support recruitment, succession planning and capability development as the organisation scales. Ensure operational resilience, security and performance across engineering platforms. About You You'll be an experienced engineering leader who enjoys building empowered teams and delivering impactful technology solutions within fast-paced environments. You'll bring: Previous experience leading and developing software engineering teams. Strong stakeholder management and communication skills. A strategic mindset balanced with a hands-on understanding of modern software development. Experience working within high-growth technology businesses, ideally within a scale-up environment. Desirable Technical Experience Experience with the following technologies would be highly advantageous: Scala TypeScript AWS (Amazon Web Services) Exposure to AI, machine learning platforms, data-intensive applications or cloud-native architectures would also be beneficial. What's on Offer? Salary up to £140,000 20% annual bonus Hybrid working based in Manchester The opportunity to influence the future direction of a global AI scale-up. A collaborative, entrepreneurial culture where your ideas can make a real impact. Excellent opportunities for professional growth and leadership development.
Machine Learning Engineer An AI-driven start-up, backed by $20M in Series A funding, is looking for its first Machine Learning Engineer to help scale their product and infrastructure. The platform transforms educational content into smart, personalised learning tools - and is already seeing rapid user growth and strong traction in the market. This is a unique opportunity to join early, influence the technical roadmap, and work directly with experienced founders and a senior engineering team. What you'll be doing: Designing, building and deploying ML-powered features across a production platform Working across Python and TypeScript, integrating models into scalable, real-time systems Fine-tuning and training NLP models using techniques like transformers Driving the machine learning strategy and building best practices from the ground up Collaborating closely with product, engineering, and leadership What we're looking for: Strong commercial experience building and deploying ML models in production Proficiency in Python and familiarity with TypeScript/JavaScript Experience with NLP or recommendation systems is a bonus Excited by start-ups: product-minded, hands-on, and motivated by impact What's on offer: £100,000 - £120,000 salary + meaningful equity 4 days/week in a modern London office near Liverpool St Greenfield ML ownership with direct access to founding team A chance to shape the future of an AI product already loved by users
Jun 11, 2026
Full time
Machine Learning Engineer An AI-driven start-up, backed by $20M in Series A funding, is looking for its first Machine Learning Engineer to help scale their product and infrastructure. The platform transforms educational content into smart, personalised learning tools - and is already seeing rapid user growth and strong traction in the market. This is a unique opportunity to join early, influence the technical roadmap, and work directly with experienced founders and a senior engineering team. What you'll be doing: Designing, building and deploying ML-powered features across a production platform Working across Python and TypeScript, integrating models into scalable, real-time systems Fine-tuning and training NLP models using techniques like transformers Driving the machine learning strategy and building best practices from the ground up Collaborating closely with product, engineering, and leadership What we're looking for: Strong commercial experience building and deploying ML models in production Proficiency in Python and familiarity with TypeScript/JavaScript Experience with NLP or recommendation systems is a bonus Excited by start-ups: product-minded, hands-on, and motivated by impact What's on offer: £100,000 - £120,000 salary + meaningful equity 4 days/week in a modern London office near Liverpool St Greenfield ML ownership with direct access to founding team A chance to shape the future of an AI product already loved by users
Process Automation & Digitalization Specialist Location: Manchester Rate: £30 (An hour) Duration: 12 Months Initially Location: Manchester IR35: Inside (Must use an umbrella company) Key Responsibilities Process Automation: Identify, design, and implement automation solutions (workflow automation, automated reporting, data validation, milestone monitoring, exception management, document processing, and notification workflows) to eliminate manual tasks in supply operations processes AI & Analytics: Support development based on AI/ML-based tools for decision support, data analysis, predictive capabilities, and operational insights within Supply Operations team Digitalization: Support the digital transformation roadmap by building prototypes, proof-of-concepts, dashboards, Power Apps, and scalable digital solutions Integration: Connect automation solutions with existing systems (SAP S/4HANA, planning tools, reporting platforms, SharePoint, Microsoft Power Platform, and visibility tools) Documentation & Knowledge Transfer: Create technical documentation, process guides, and user training materials to ensure sustainability beyond the contract period Stakeholder Collaboration: Work with Supply Operations team (Logistics & Order Management Europe (ELOM), Planning & Customs), operations leads, and IT to understand pain points and translate them into practical technical solutions Continuous Improvement: Proactively identify opportunities for simplification, standardization, and efficiency improvements across operational and reporting processes Required Skills & Experience: Degree in Computer Science, Engineering, Data Science, Supply Chain Analytics, or related technical discipline Proven experience in process automation (Python, Power Automate, Power Apps, UiPath, or similar technologies) Working knowledge of AI/ML tools and frameworks (e.g., machine learning libraries, NLP, generative AI applications, AI copilots, or automation agents) Experience with data manipulation and visualization (SQL, Power BI, Databricks, Excel automation, or equivalent) Familiarity with ERP systems (SAP S/4HANA preferred) Experience working with APIs, system integrations, and structured/unstructured data sources Ability to work independently, manage multiple workstreams, and deliver within tight timescales Strong communication skills with the ability to translate technical concepts into business-friendly language for non-technical stakeholders Desirable: Experience in supply chain, logistics, or manufacturing environments Familiarity with SAP S/4HANA, APO, OTM, or logistics visibility platforms Experience with API integrations and cloud platforms (Azure preferred) Exposure to Agile or iterative delivery methods Knowledge of Microsoft Power Platform ecosystem (Power BI, Power Apps, Power Automate) Experience supporting digital transformation or automation initiatives in operational environments
Jun 11, 2026
Contractor
Process Automation & Digitalization Specialist Location: Manchester Rate: £30 (An hour) Duration: 12 Months Initially Location: Manchester IR35: Inside (Must use an umbrella company) Key Responsibilities Process Automation: Identify, design, and implement automation solutions (workflow automation, automated reporting, data validation, milestone monitoring, exception management, document processing, and notification workflows) to eliminate manual tasks in supply operations processes AI & Analytics: Support development based on AI/ML-based tools for decision support, data analysis, predictive capabilities, and operational insights within Supply Operations team Digitalization: Support the digital transformation roadmap by building prototypes, proof-of-concepts, dashboards, Power Apps, and scalable digital solutions Integration: Connect automation solutions with existing systems (SAP S/4HANA, planning tools, reporting platforms, SharePoint, Microsoft Power Platform, and visibility tools) Documentation & Knowledge Transfer: Create technical documentation, process guides, and user training materials to ensure sustainability beyond the contract period Stakeholder Collaboration: Work with Supply Operations team (Logistics & Order Management Europe (ELOM), Planning & Customs), operations leads, and IT to understand pain points and translate them into practical technical solutions Continuous Improvement: Proactively identify opportunities for simplification, standardization, and efficiency improvements across operational and reporting processes Required Skills & Experience: Degree in Computer Science, Engineering, Data Science, Supply Chain Analytics, or related technical discipline Proven experience in process automation (Python, Power Automate, Power Apps, UiPath, or similar technologies) Working knowledge of AI/ML tools and frameworks (e.g., machine learning libraries, NLP, generative AI applications, AI copilots, or automation agents) Experience with data manipulation and visualization (SQL, Power BI, Databricks, Excel automation, or equivalent) Familiarity with ERP systems (SAP S/4HANA preferred) Experience working with APIs, system integrations, and structured/unstructured data sources Ability to work independently, manage multiple workstreams, and deliver within tight timescales Strong communication skills with the ability to translate technical concepts into business-friendly language for non-technical stakeholders Desirable: Experience in supply chain, logistics, or manufacturing environments Familiarity with SAP S/4HANA, APO, OTM, or logistics visibility platforms Experience with API integrations and cloud platforms (Azure preferred) Exposure to Agile or iterative delivery methods Knowledge of Microsoft Power Platform ecosystem (Power BI, Power Apps, Power Automate) Experience supporting digital transformation or automation initiatives in operational environments
Join Our Client as a Data Solution Architect (GCP) Location: Edinburgh Contract Type: Temp to Perm (12-month initial contract) Are you ready to lead the charge in AI innovation within the financial sector? Our client is searching for a dynamic Data/AI Solution Architect to join the IDEA Lab-an exciting hub for pioneering AI and data solutions! This role offers an incredible opportunity to shape the future of data-driven decision-making in a prominent financial institution. About the Team: They are the engine room for AI innovation, driving rapid prototypes, reusable patterns, and scalable data solutions across the Business Transaction Banking (BTB) platform. As part of this vibrant team, you'll provide deep technical expertise and help shape forward-looking AI and data strategies. Role Purpose: As a Data/AI Solution Architect, you will be at the forefront of designing scalable, secure, and resilient data and AI systems. Your expertise will be instrumental in driving strategic initiatives including Machine Learning, LLMOps, and GCP cloud migration. You will bridge the gap between business needs and technical execution, ensuring compliance with data governance, security, and ethical AI standards. Key Responsibilities: Strategy & Design: Define end-to-end architectures for AI, ML, and data solutions on Google Cloud Platform (GCP) while ensuring alignment to platform strategy and security controls. Technical Leadership: Deliver high-quality solutions using GCP cloud-native services such as BigQuery, Cloud Run, and Vertex AI. Cloud Integration: Utilize your understanding of Kubernetes, service mesh, and network boundaries to architect efficient GCP workloads. Design Patterns: Implement API and service integration patterns using Istio, Apigee, and modern microservice standards. Governance & Compliance: Ensure that all solutions adhere to strict regulatory and security standards. Collaboration: Work closely with engineering, data science, and business teams to translate requirements into actionable designs. Required Skills & Experience: Cloud Expertise: Proven experience with major cloud platforms like GCP Data & AI Knowledge: Strong understanding of modern data architecture, Machine Learning, and AI tools. Experience with large-scale data migrations is a plus! Architecture Leadership: Ability to design orchestrations for AI and ML systems, articulating trade-offs and leading design decisions. Communication Skills: Exceptional ability to convey complex technical concepts and represent the lab's technical direction in governance forums. Beneficial Skills: Experience with Vertex AI or other model lifecycle tooling. Familiarity with LangChain/LangGraph and AI workflow orchestration. Experience in multi-cloud environments and understanding of enterprise integration. Working Pattern: Enjoy a hybrid work style-spend at least two days a week (40% of your time) in our Edinburgh office, collaborating with a talented team. Why Join the IDEA Lab? This is your chance to be at the center of innovation! Influence platform-wide patterns, accelerate AI transformation, and work with highly skilled teams delivering cutting-edge solutions. If you're ready to make a significant impact and lead the way in AI advancements, we'd love to hear from you! We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention. Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
Jun 11, 2026
Contractor
Join Our Client as a Data Solution Architect (GCP) Location: Edinburgh Contract Type: Temp to Perm (12-month initial contract) Are you ready to lead the charge in AI innovation within the financial sector? Our client is searching for a dynamic Data/AI Solution Architect to join the IDEA Lab-an exciting hub for pioneering AI and data solutions! This role offers an incredible opportunity to shape the future of data-driven decision-making in a prominent financial institution. About the Team: They are the engine room for AI innovation, driving rapid prototypes, reusable patterns, and scalable data solutions across the Business Transaction Banking (BTB) platform. As part of this vibrant team, you'll provide deep technical expertise and help shape forward-looking AI and data strategies. Role Purpose: As a Data/AI Solution Architect, you will be at the forefront of designing scalable, secure, and resilient data and AI systems. Your expertise will be instrumental in driving strategic initiatives including Machine Learning, LLMOps, and GCP cloud migration. You will bridge the gap between business needs and technical execution, ensuring compliance with data governance, security, and ethical AI standards. Key Responsibilities: Strategy & Design: Define end-to-end architectures for AI, ML, and data solutions on Google Cloud Platform (GCP) while ensuring alignment to platform strategy and security controls. Technical Leadership: Deliver high-quality solutions using GCP cloud-native services such as BigQuery, Cloud Run, and Vertex AI. Cloud Integration: Utilize your understanding of Kubernetes, service mesh, and network boundaries to architect efficient GCP workloads. Design Patterns: Implement API and service integration patterns using Istio, Apigee, and modern microservice standards. Governance & Compliance: Ensure that all solutions adhere to strict regulatory and security standards. Collaboration: Work closely with engineering, data science, and business teams to translate requirements into actionable designs. Required Skills & Experience: Cloud Expertise: Proven experience with major cloud platforms like GCP Data & AI Knowledge: Strong understanding of modern data architecture, Machine Learning, and AI tools. Experience with large-scale data migrations is a plus! Architecture Leadership: Ability to design orchestrations for AI and ML systems, articulating trade-offs and leading design decisions. Communication Skills: Exceptional ability to convey complex technical concepts and represent the lab's technical direction in governance forums. Beneficial Skills: Experience with Vertex AI or other model lifecycle tooling. Familiarity with LangChain/LangGraph and AI workflow orchestration. Experience in multi-cloud environments and understanding of enterprise integration. Working Pattern: Enjoy a hybrid work style-spend at least two days a week (40% of your time) in our Edinburgh office, collaborating with a talented team. Why Join the IDEA Lab? This is your chance to be at the center of innovation! Influence platform-wide patterns, accelerate AI transformation, and work with highly skilled teams delivering cutting-edge solutions. If you're ready to make a significant impact and lead the way in AI advancements, we'd love to hear from you! We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention. Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
Computer Vision ML EngineerFully Remote6 Month ContractOutside IR35£550 to £600 per day The Company They are a global technology organisation with a dedicated research function focused on applied AI and graphics. The team operates at the intersection of machine learning, computer vision, and low-level optimisation, working closely with hardware accelerators on mobile devices. They combine research depth with practical delivery, aiming to push image and video quality beyond current standards. The Role and Deliverables Develop and experiment with advanced computer vision and machine learning techniques for image and video enhancement. Apply Generative AI approaches such as diffusion models and GANs to 2D-to-3D conversion and reconstruction problems. Work hands-on with graphics-focused pipelines, considering performance on mobile accelerators. Contribute to research outputs, including high-quality publications suitable for leading conferences. Collaborate with engineers and researchers to translate experimental work into product-ready solutions. Your Skills & Experience Strong experience in computer vision, machine learning, and graphics-focused problem solving. Practical application of Generative AI techniques, including diffusion models, GANs, and related reconstruction methods. Experience working close to hardware, accelerators, or low-level optimisation, particularly in mobile or embedded environments. Comfortable operating in a research-driven setting, with the ability to produce well-documented, high-quality technical outputs. An open technical profile, whether from an engineering or research background, with evidence of impactful work. How to Apply If you feel this role applies to your experience and skillset, please feel free to apply below.
Jun 11, 2026
Contractor
Computer Vision ML EngineerFully Remote6 Month ContractOutside IR35£550 to £600 per day The Company They are a global technology organisation with a dedicated research function focused on applied AI and graphics. The team operates at the intersection of machine learning, computer vision, and low-level optimisation, working closely with hardware accelerators on mobile devices. They combine research depth with practical delivery, aiming to push image and video quality beyond current standards. The Role and Deliverables Develop and experiment with advanced computer vision and machine learning techniques for image and video enhancement. Apply Generative AI approaches such as diffusion models and GANs to 2D-to-3D conversion and reconstruction problems. Work hands-on with graphics-focused pipelines, considering performance on mobile accelerators. Contribute to research outputs, including high-quality publications suitable for leading conferences. Collaborate with engineers and researchers to translate experimental work into product-ready solutions. Your Skills & Experience Strong experience in computer vision, machine learning, and graphics-focused problem solving. Practical application of Generative AI techniques, including diffusion models, GANs, and related reconstruction methods. Experience working close to hardware, accelerators, or low-level optimisation, particularly in mobile or embedded environments. Comfortable operating in a research-driven setting, with the ability to produce well-documented, high-quality technical outputs. An open technical profile, whether from an engineering or research background, with evidence of impactful work. How to Apply If you feel this role applies to your experience and skillset, please feel free to apply below.
Senior AI/ML Engineer (LLM's / RAG Pipeline Development)Guildford, Surrey (Fully Onsite)£85000 - £125,000 + 25% Bonus, 10% Pension, Private Medical.- Must have a Masters or PhD Degree in a STEM/Computing discipline.- Must work full-time, 5 days a week in the Guildford office.- Must have deep experience in LLM development and deployment. Your new company You'll be joining a fast-growth, highly respected software engineering business that applies advanced modelling, data science, and machine learning to solve complex, real-world problems at scale.Their technology underpins critical decision-making in high-value environments, combining deep domain expertise with modern engineering practices. With a strong track record of success and a growing international footprint, the company is investing heavily in AI as a core pillar of its future.You will be working full-time in their head office location in the heart of Guildford close to the University and with excellent transport to London and the surrounding areas in Surrey. Your new role The key to this role is hands-on experience designing, building, and deploying LLM-based applications into production environments.We're looking for a Senior Engineer who can bridge the gap between advanced AI/ML and production-grade software, taking models from concept through to scalable deployment. It is not purely an AI/ML role, nor is it a pure coding role - it sits in between the two disciplines as part of a newly formed team within an R&D department helping to instil best practice.You'll have the opportunity to influence how AI capability is embedded into a well-established product suite, balancing greenfield innovation with enhancing existing platforms. Working across structured, unstructured and streaming data, you'll contribute to modern AI approaches and help shape how data drives product capability.It's a well-established business with decades of experience taking them a market leading position. Building on an impressive 2024 they pushed towards 100 headcount and have the investment and product positioning to double this in the coming 12 months, with a particular focus on the Engineering team. Given this imminent growth there are leadership opportunities to aspire to down the line.It's genuinely challenging applied AI in a complex domain. If you're motivated by seeing your work have tangible impact in production, this is an opportunity to operate at a level most roles don't offer. What you'll need to succeed This role requires existing Senior level experience in AI/ML roles, 3+ years working hands-on experience designing, building, and deploying LLM-based applications into production environments, not just experimentation.You must have proven experience working with C++/C# (ideally integrating ML features into C++ applications), and at least one high-level scientific language (e.g., Python, Julia) working at the interface of research and software development.You will possess strong technical leadership skills and will be motivated to drive engineering best practices and standards.You must have an advanced Degree in a STEM/Computing discipline and ideally a background in scientific computing, time-series data, or complex data environments. What you'll get in return You'll work for a technology focused company building innovative products. There's an excellent rewards scheme in place including an annual bonus up to 25%, 10% pension match, private healthcare, 25 days holiday and long term sick cover. There is parking on site or a shuttle bus for train commuters to Guildford and a modern office space with excellent amenities. What you need to do now To find out more and to be considered for this position please apply directly, or contact Max Wilcock, Senior Business Director on .At Hays Technology, we are shaping the future of recruitment. The rapid adoption of cloud, which is making customer interfaces more engaging and creating a seamless engagement with businesses, means that from the foundation of your organisation up, software developers are critical to success. As the competition for talent grows, we're ready and waiting to help developers really make an impact on organisations, so talk to us today. We are Hays Technology. 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 hays.co.uk
Jun 11, 2026
Full time
Senior AI/ML Engineer (LLM's / RAG Pipeline Development)Guildford, Surrey (Fully Onsite)£85000 - £125,000 + 25% Bonus, 10% Pension, Private Medical.- Must have a Masters or PhD Degree in a STEM/Computing discipline.- Must work full-time, 5 days a week in the Guildford office.- Must have deep experience in LLM development and deployment. Your new company You'll be joining a fast-growth, highly respected software engineering business that applies advanced modelling, data science, and machine learning to solve complex, real-world problems at scale.Their technology underpins critical decision-making in high-value environments, combining deep domain expertise with modern engineering practices. With a strong track record of success and a growing international footprint, the company is investing heavily in AI as a core pillar of its future.You will be working full-time in their head office location in the heart of Guildford close to the University and with excellent transport to London and the surrounding areas in Surrey. Your new role The key to this role is hands-on experience designing, building, and deploying LLM-based applications into production environments.We're looking for a Senior Engineer who can bridge the gap between advanced AI/ML and production-grade software, taking models from concept through to scalable deployment. It is not purely an AI/ML role, nor is it a pure coding role - it sits in between the two disciplines as part of a newly formed team within an R&D department helping to instil best practice.You'll have the opportunity to influence how AI capability is embedded into a well-established product suite, balancing greenfield innovation with enhancing existing platforms. Working across structured, unstructured and streaming data, you'll contribute to modern AI approaches and help shape how data drives product capability.It's a well-established business with decades of experience taking them a market leading position. Building on an impressive 2024 they pushed towards 100 headcount and have the investment and product positioning to double this in the coming 12 months, with a particular focus on the Engineering team. Given this imminent growth there are leadership opportunities to aspire to down the line.It's genuinely challenging applied AI in a complex domain. If you're motivated by seeing your work have tangible impact in production, this is an opportunity to operate at a level most roles don't offer. What you'll need to succeed This role requires existing Senior level experience in AI/ML roles, 3+ years working hands-on experience designing, building, and deploying LLM-based applications into production environments, not just experimentation.You must have proven experience working with C++/C# (ideally integrating ML features into C++ applications), and at least one high-level scientific language (e.g., Python, Julia) working at the interface of research and software development.You will possess strong technical leadership skills and will be motivated to drive engineering best practices and standards.You must have an advanced Degree in a STEM/Computing discipline and ideally a background in scientific computing, time-series data, or complex data environments. What you'll get in return You'll work for a technology focused company building innovative products. There's an excellent rewards scheme in place including an annual bonus up to 25%, 10% pension match, private healthcare, 25 days holiday and long term sick cover. There is parking on site or a shuttle bus for train commuters to Guildford and a modern office space with excellent amenities. What you need to do now To find out more and to be considered for this position please apply directly, or contact Max Wilcock, Senior Business Director on .At Hays Technology, we are shaping the future of recruitment. The rapid adoption of cloud, which is making customer interfaces more engaging and creating a seamless engagement with businesses, means that from the foundation of your organisation up, software developers are critical to success. As the competition for talent grows, we're ready and waiting to help developers really make an impact on organisations, so talk to us today. We are Hays Technology. 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 hays.co.uk
Tenth Revolution Group
Newcastle Upon Tyne, Tyne And Wear
Data & AI Engineer - Up to £50,000 Location: Newcastle - Hybrid Security Clearance: UK SC eligibility required The Opportunity We are supporting a leading organisation within the Technology and Data space that deliver technology-enabled transformations. This team specialises in building modern, data-driven solutions that enable better decision-making, automation, and innovation. This role is ideal for a Data Engineer or AI Engineer who enjoys working across the full data lifecycle and wants to build practical, scalable solutions using modern data and AI technologies. The Role As a Data & AI Engineer, you will design, build and maintain data pipelines, analytical platforms and AI-enabled capabilities that support business-critical use cases. You will work closely with analysts, engineers, and stakeholders to translate requirements into robust, production-ready solutions. Key responsibilities: Designing and building scalable data pipelines, datasets, and data models Integrating data from multiple structured and unstructured sources Developing advanced analytics, machine learning and AI solutions where appropriate Building Generative AI solutions using large language models and prompt/context engineering Ensuring data quality, reliability, and performance through testing and monitoring Optimising data and model performance for scale and efficiency Required Experience & Skills Proven experience in a Data Engineer, Data Developer, AI Engineer or similar role Strong programming skills in Python and SQL Experience building and maintaining data pipelines Exposure to cloud data platforms, data warehouses, or big data technologies Strong analytical and problem-solving skills Ability to communicate technical concepts to non-technical stakeholders Security & Compliance: Appointment to this role is subject to eligibility for and successful attainment of UK Security Check (SC) clearance Working Model: Hybrid working with a Newcastle base Why Apply? Work on high-impact, enterprise-scale data and AI initiatives Gain exposure to a wide variety of industries and complex systems Be part of a cooperative, inclusive engineering culture Access structured career development, training and progression opportunities
Jun 11, 2026
Full time
Data & AI Engineer - Up to £50,000 Location: Newcastle - Hybrid Security Clearance: UK SC eligibility required The Opportunity We are supporting a leading organisation within the Technology and Data space that deliver technology-enabled transformations. This team specialises in building modern, data-driven solutions that enable better decision-making, automation, and innovation. This role is ideal for a Data Engineer or AI Engineer who enjoys working across the full data lifecycle and wants to build practical, scalable solutions using modern data and AI technologies. The Role As a Data & AI Engineer, you will design, build and maintain data pipelines, analytical platforms and AI-enabled capabilities that support business-critical use cases. You will work closely with analysts, engineers, and stakeholders to translate requirements into robust, production-ready solutions. Key responsibilities: Designing and building scalable data pipelines, datasets, and data models Integrating data from multiple structured and unstructured sources Developing advanced analytics, machine learning and AI solutions where appropriate Building Generative AI solutions using large language models and prompt/context engineering Ensuring data quality, reliability, and performance through testing and monitoring Optimising data and model performance for scale and efficiency Required Experience & Skills Proven experience in a Data Engineer, Data Developer, AI Engineer or similar role Strong programming skills in Python and SQL Experience building and maintaining data pipelines Exposure to cloud data platforms, data warehouses, or big data technologies Strong analytical and problem-solving skills Ability to communicate technical concepts to non-technical stakeholders Security & Compliance: Appointment to this role is subject to eligibility for and successful attainment of UK Security Check (SC) clearance Working Model: Hybrid working with a Newcastle base Why Apply? Work on high-impact, enterprise-scale data and AI initiatives Gain exposure to a wide variety of industries and complex systems Be part of a cooperative, inclusive engineering culture Access structured career development, training and progression opportunities
As the Presales AI Solutions Architect within our AI Practice, you'll play a key role in technological advancement, developing a team and leading successful projects in all UK sectors. You will have the opportunity to create and take ownership of technical solutions, promote our AI offerings, and provide guidance on technology strategies, roadmaps, and business plans. This is a client-facing role, so you'll need to be confident presenting and building strong relationships. Your role will extend beyond our organisation, representing us at conferences and establishing market presence. Join us and become the driving force behind innovative solutions that redefine the future of technology. We can offer great career progression opportunities, ability to be based anywhere across the UK, benefits which you can flex to meet your needs and training and development opportunities. What you'll be doing: Lead a high-performing team and foster relationships within Sopra Steria. Support and contribute to developing business requirements. Propose optimal solutions and own the design and creation of design artefacts across pre-sales, delivery and as repeatable blueprints. Build and the support the development of compelling propositions to take to market. Leading technical design and authoring on bids and proposals. Maintaining strong customer relationships and make sure the right skills are maintained in the architecture function. What you'll bring: Pre-sales experience with proven experience authoring bids, crafting compelling proposals, and taking a consultative approach with clients to win new work. Proven experience delivering AI solutions in complex environments. Strong technical knowledge of AI for example, Machine Learning, AWS AI, Azure AI, GenAI and Agents. Experience with digital assistant solutions enhanced by AI such as Microsoft Copilot. Demonstrable experience with Retrieval-Augmented Generation. Solid understanding of MLOps. Ability to engage confidently with clients and present technical solutions clearly. It would be great if you had: Experience with multi-cloud environments (AWS, Azure, GCP). Familiarity with AI governance and ethical frameworks. If you are interested in this role but not sure if your skills and experience are exactly what we're looking for, please do apply, we'd love to hear from you! Employment Type: Full-time Permanent. Location: Can be based anywhere in the UK. Security Clearance Level: Must be eligible for SC clearance. Salary: up to £101k Benefits: £6,600 car allowance, 25 days annual leave with the option to buy additional days, private medical, life assurance, pension, and generous flexible benefits fund. Although this role is advertised as full-time, we believe that flexibility at work can promote work/life balance, increase your motivation, reduce stress and improves performance and productivity. We support different ways of working and can offer a range of flexible working arrangements. So, if you're interested and need to work flexibly, we encourage you to apply and talk to us about what might be possible. Loved reading about this job and want to know more about us? With a long history of delivering transformation, we've developed a market-leading partnership ecosystem to provide business services of the future and shape valuable, positive outcomes for communities. We empower our clients by providing innovative solutions and commercial models that help them meet their business needs, drive operational efficiencies and deliver impactful value creation. We remain committed to values of excellence, empathy and respect to produce transformative outcomes in business processing - creating value for all. We embrace difference as a source of creativity, innovation and competitive advantage and are striving to become a more diverse organisation. We welcome applications from people with a diverse variety of backgrounds and identities. We are committed to equality of opportunity for all and do not discriminate on the basis of race, religion, colour, gender, age, disability, sexual orientation or marital status. We have partnered with Vercida, the UK's largest diversity and inclusion focused careers site, where all our vacancies are available in an accessible format. If you require any adjustments to the recruitment process, to enable you to perform to the best of your ability, please let us know when completing your application. We participate in the Disability Confident scheme and are committed to offering an interview to any candidate with a disability, who meets the minimum criteria for the role. If you believe this could apply to you, please let us know when completing your application.
Jun 11, 2026
Full time
As the Presales AI Solutions Architect within our AI Practice, you'll play a key role in technological advancement, developing a team and leading successful projects in all UK sectors. You will have the opportunity to create and take ownership of technical solutions, promote our AI offerings, and provide guidance on technology strategies, roadmaps, and business plans. This is a client-facing role, so you'll need to be confident presenting and building strong relationships. Your role will extend beyond our organisation, representing us at conferences and establishing market presence. Join us and become the driving force behind innovative solutions that redefine the future of technology. We can offer great career progression opportunities, ability to be based anywhere across the UK, benefits which you can flex to meet your needs and training and development opportunities. What you'll be doing: Lead a high-performing team and foster relationships within Sopra Steria. Support and contribute to developing business requirements. Propose optimal solutions and own the design and creation of design artefacts across pre-sales, delivery and as repeatable blueprints. Build and the support the development of compelling propositions to take to market. Leading technical design and authoring on bids and proposals. Maintaining strong customer relationships and make sure the right skills are maintained in the architecture function. What you'll bring: Pre-sales experience with proven experience authoring bids, crafting compelling proposals, and taking a consultative approach with clients to win new work. Proven experience delivering AI solutions in complex environments. Strong technical knowledge of AI for example, Machine Learning, AWS AI, Azure AI, GenAI and Agents. Experience with digital assistant solutions enhanced by AI such as Microsoft Copilot. Demonstrable experience with Retrieval-Augmented Generation. Solid understanding of MLOps. Ability to engage confidently with clients and present technical solutions clearly. It would be great if you had: Experience with multi-cloud environments (AWS, Azure, GCP). Familiarity with AI governance and ethical frameworks. If you are interested in this role but not sure if your skills and experience are exactly what we're looking for, please do apply, we'd love to hear from you! Employment Type: Full-time Permanent. Location: Can be based anywhere in the UK. Security Clearance Level: Must be eligible for SC clearance. Salary: up to £101k Benefits: £6,600 car allowance, 25 days annual leave with the option to buy additional days, private medical, life assurance, pension, and generous flexible benefits fund. Although this role is advertised as full-time, we believe that flexibility at work can promote work/life balance, increase your motivation, reduce stress and improves performance and productivity. We support different ways of working and can offer a range of flexible working arrangements. So, if you're interested and need to work flexibly, we encourage you to apply and talk to us about what might be possible. Loved reading about this job and want to know more about us? With a long history of delivering transformation, we've developed a market-leading partnership ecosystem to provide business services of the future and shape valuable, positive outcomes for communities. We empower our clients by providing innovative solutions and commercial models that help them meet their business needs, drive operational efficiencies and deliver impactful value creation. We remain committed to values of excellence, empathy and respect to produce transformative outcomes in business processing - creating value for all. We embrace difference as a source of creativity, innovation and competitive advantage and are striving to become a more diverse organisation. We welcome applications from people with a diverse variety of backgrounds and identities. We are committed to equality of opportunity for all and do not discriminate on the basis of race, religion, colour, gender, age, disability, sexual orientation or marital status. We have partnered with Vercida, the UK's largest diversity and inclusion focused careers site, where all our vacancies are available in an accessible format. If you require any adjustments to the recruitment process, to enable you to perform to the best of your ability, please let us know when completing your application. We participate in the Disability Confident scheme and are committed to offering an interview to any candidate with a disability, who meets the minimum criteria for the role. If you believe this could apply to you, please let us know when completing your application.
Robert Half Technology are assisting a market leading financial services (fintech) organisation to recruit a AI Engineer on a contract basis - Hybrid working - London based The AI Engineer will join a cross-functional data team to design, develop, and deploy AI/ML models that tackle real business problems - from prediction and automation to customer personalisation and decision intelligence. You'll play a hands-on role in taking models from concept to production and shaping best practices across the AI lifecycle. Role The AI Engineer will build and deploy scalable machine learning models in a cloud-native environment (AWS, GCP or Azure) Collaborate with data engineers, analysts, and product teams to translate business needs into AI-driven solutions Contribute to the development of data pipelines and feature engineering workflows Integrate models into production using APIs, batch jobs, or real-time systems Apply best practices around experimentation, evaluation, versioning, and monitoring Contribute to documentation, knowledge sharing, and process improvements Profile The AI Engineer will have a proven commercial experience delivering AI/ML projects end-to-end in production environments Strong Python skills with hands-on use of ML libraries like Scikit-learn, TensorFlow, PyTorch, or Hugging Face Solid understanding of machine learning fundamentals and performance evaluation techniques Experience working in cloud platforms (AWS, GCP, or Azure) with MLOps tools (e.g. MLflow, SageMaker, Vertex AI) Comfortable working independently and delivering high-quality work to tight timelines Experience working in fast-paced environments or scale-up settings Company Market leading financial services (fintech) organisation with offices in London Hybrid working - London based Initial 6 month contract Salary & Benefits The salary range/rates of pay is dependent upon your experience, qualifications or training . Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to diversity, equity and inclusion. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data:
Jun 11, 2026
Contractor
Robert Half Technology are assisting a market leading financial services (fintech) organisation to recruit a AI Engineer on a contract basis - Hybrid working - London based The AI Engineer will join a cross-functional data team to design, develop, and deploy AI/ML models that tackle real business problems - from prediction and automation to customer personalisation and decision intelligence. You'll play a hands-on role in taking models from concept to production and shaping best practices across the AI lifecycle. Role The AI Engineer will build and deploy scalable machine learning models in a cloud-native environment (AWS, GCP or Azure) Collaborate with data engineers, analysts, and product teams to translate business needs into AI-driven solutions Contribute to the development of data pipelines and feature engineering workflows Integrate models into production using APIs, batch jobs, or real-time systems Apply best practices around experimentation, evaluation, versioning, and monitoring Contribute to documentation, knowledge sharing, and process improvements Profile The AI Engineer will have a proven commercial experience delivering AI/ML projects end-to-end in production environments Strong Python skills with hands-on use of ML libraries like Scikit-learn, TensorFlow, PyTorch, or Hugging Face Solid understanding of machine learning fundamentals and performance evaluation techniques Experience working in cloud platforms (AWS, GCP, or Azure) with MLOps tools (e.g. MLflow, SageMaker, Vertex AI) Comfortable working independently and delivering high-quality work to tight timelines Experience working in fast-paced environments or scale-up settings Company Market leading financial services (fintech) organisation with offices in London Hybrid working - London based Initial 6 month contract Salary & Benefits The salary range/rates of pay is dependent upon your experience, qualifications or training . Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to diversity, equity and inclusion. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data:
Lead Data Scientist - Manchester My client is seeking a Lead Data Scientist to own and drive the end-to-end data science strategy across high-impact business domains (e.g., risk, fraud, affordability, customer value). This role will translate complex, real-world financial data into production-grade machine learning systems that deliver measurable commercial and customer outcomes. The successful candidate will lead model development from ideation through deployment and monitoring, working closely with Data Engineers, Analysts, Product, Risk, and Technology stakeholders. They will set standards for experimentation, governance, and MLOps while mentoring and developing other data scientists within the function. This is a hands-on technical leadership role - both strategic and delivery-focused. The Role Strategic & Technical Leadership Define and evolve the data science roadmap aligned to business priorities. Identify high-value ML use cases and translate commercial problems into scalable analytical solutions. Lead end-to-end model lifecycle delivery: problem framing, feature engineering, experimentation, validation, deployment, monitoring, and iteration. Establish best practices for experimentation, evaluation, reproducibility, and documentation. Set standards for model governance, explainability, monitoring, and auditability within a regulated financial environment. Machine Learning & Delivery Architect and develop robust ML models (e.g., classification, regression, anomaly detection) using Python and cloud-based tooling. Design scalable feature pipelines in collaboration with Data Engineering. Lead productionisation efforts, including pipeline design, model versioning, and monitoring frameworks. Implement safe deployment strategies (e.g., champion/challenger models, shadow runs, A/B testing). Ensure model performance, drift detection, and continuous improvement processes are embedded. Stakeholder Engagement Partner with Risk, Compliance, Product, and Technology teams to ensure solutions are commercially viable and regulator-ready. Communicate complex modelling approaches and outcomes clearly to senior stakeholders and non-technical audiences. Influence strategic decision-making through insight and evidence-based recommendations. Governance & Risk • Own model documentation (model cards, lineage, assumptions, validation evidence).• Embed privacy-by-design, fairness, and bias monitoring practices.• Operate confidently within FCA-regulated environments and support audit and regulatory requirements. Team Leadership • Mentor and coach junior and mid-level data scientists.• Lead code reviews and promote engineering best practice (Git, testing, CI/CD awareness).• Contribute to hiring, technical assessment, and capability development.• Foster a culture of curiosity, collaboration, and high performance. About the Candidate The ideal candidate is commercially minded, technically strong, and delivery-focused. They understand that high-quality models create value only when deployed safely and embedded into business processes. They will be comfortable owning ambiguity, setting direction, and raising technical standards. They will combine statistical rigour with pragmatic decision-making and be confident influencing senior stakeholders. They will enjoy mentoring others and developing team capability alongside delivering impactful work. What My Client Is Looking For: • Significant hands-on experience building and deploying machine learning models into production environments.• Strong Python expertise (e.g., pandas, scikit-learn, ML frameworks) with production-quality coding standards.• Advanced SQL skills and deep understanding of relational data.• Strong statistical foundations and model validation expertise.• Experience working within cloud-based data platforms (AWS or equivalent).• Demonstrable experience productionising models and implementing monitoring frameworks.• Experience operating within a regulated environment (financial services preferred).• Ability to communicate effectively with senior stakeholders.• Experience mentoring or leading other data scientists. Desirable • Experience in credit risk, fraud detection, affordability modelling, or payments analytics.• Familiarity with model risk management frameworks.• Exposure to MLOps tooling (CI/CD pipelines, automated testing, model registries).• Experience with model explainability techniques (e.g., SHAP, LIME).• Experience shaping data science roadmaps or leading multiple concurrent initiatives. Benefits Hybrid working Training and development budget Flexible working Interested? Please Click Apply Now! Lead Data Scientist - Manchester
Jun 11, 2026
Full time
Lead Data Scientist - Manchester My client is seeking a Lead Data Scientist to own and drive the end-to-end data science strategy across high-impact business domains (e.g., risk, fraud, affordability, customer value). This role will translate complex, real-world financial data into production-grade machine learning systems that deliver measurable commercial and customer outcomes. The successful candidate will lead model development from ideation through deployment and monitoring, working closely with Data Engineers, Analysts, Product, Risk, and Technology stakeholders. They will set standards for experimentation, governance, and MLOps while mentoring and developing other data scientists within the function. This is a hands-on technical leadership role - both strategic and delivery-focused. The Role Strategic & Technical Leadership Define and evolve the data science roadmap aligned to business priorities. Identify high-value ML use cases and translate commercial problems into scalable analytical solutions. Lead end-to-end model lifecycle delivery: problem framing, feature engineering, experimentation, validation, deployment, monitoring, and iteration. Establish best practices for experimentation, evaluation, reproducibility, and documentation. Set standards for model governance, explainability, monitoring, and auditability within a regulated financial environment. Machine Learning & Delivery Architect and develop robust ML models (e.g., classification, regression, anomaly detection) using Python and cloud-based tooling. Design scalable feature pipelines in collaboration with Data Engineering. Lead productionisation efforts, including pipeline design, model versioning, and monitoring frameworks. Implement safe deployment strategies (e.g., champion/challenger models, shadow runs, A/B testing). Ensure model performance, drift detection, and continuous improvement processes are embedded. Stakeholder Engagement Partner with Risk, Compliance, Product, and Technology teams to ensure solutions are commercially viable and regulator-ready. Communicate complex modelling approaches and outcomes clearly to senior stakeholders and non-technical audiences. Influence strategic decision-making through insight and evidence-based recommendations. Governance & Risk • Own model documentation (model cards, lineage, assumptions, validation evidence).• Embed privacy-by-design, fairness, and bias monitoring practices.• Operate confidently within FCA-regulated environments and support audit and regulatory requirements. Team Leadership • Mentor and coach junior and mid-level data scientists.• Lead code reviews and promote engineering best practice (Git, testing, CI/CD awareness).• Contribute to hiring, technical assessment, and capability development.• Foster a culture of curiosity, collaboration, and high performance. About the Candidate The ideal candidate is commercially minded, technically strong, and delivery-focused. They understand that high-quality models create value only when deployed safely and embedded into business processes. They will be comfortable owning ambiguity, setting direction, and raising technical standards. They will combine statistical rigour with pragmatic decision-making and be confident influencing senior stakeholders. They will enjoy mentoring others and developing team capability alongside delivering impactful work. What My Client Is Looking For: • Significant hands-on experience building and deploying machine learning models into production environments.• Strong Python expertise (e.g., pandas, scikit-learn, ML frameworks) with production-quality coding standards.• Advanced SQL skills and deep understanding of relational data.• Strong statistical foundations and model validation expertise.• Experience working within cloud-based data platforms (AWS or equivalent).• Demonstrable experience productionising models and implementing monitoring frameworks.• Experience operating within a regulated environment (financial services preferred).• Ability to communicate effectively with senior stakeholders.• Experience mentoring or leading other data scientists. Desirable • Experience in credit risk, fraud detection, affordability modelling, or payments analytics.• Familiarity with model risk management frameworks.• Exposure to MLOps tooling (CI/CD pipelines, automated testing, model registries).• Experience with model explainability techniques (e.g., SHAP, LIME).• Experience shaping data science roadmaps or leading multiple concurrent initiatives. Benefits Hybrid working Training and development budget Flexible working Interested? Please Click Apply Now! Lead Data Scientist - Manchester
Data & AI Architect - Hybrid (London) - Azure - Fabric - Modern Data Architecture up to £110,000 If you're looking for a senior role where you can influence how Data & AI is shaped and delivered within a fast-growing Microsoft partner, this is an opportunity that truly stands out. The organisation is investing heavily in modern cloud, analytics and AI and they're building a team where experienced voices can make a real difference. You'll join a culture that values deep expertise, encourages open knowledge-sharing and supports ongoing development. With modern tools, varied client work and a people-focused approach, this is a place where a strong Data & AI leader can have a meaningful impact while helping scale a rapidly expanding data function. You Will Work With Strategic Leadership & Presales Senior and C-suite stakeholders, leading workshops, shaping solutions and commanding the room during presales engagements. Running gap-analysis sessions, contributing to the sales cycle and helping strengthen the organisation's data-led presales capability. Defining architectural direction and guiding programmes from concept to delivery. Microsoft Data & AI Ecosystem The full modern Microsoft data stack: Fabric, Azure Data Factory, Synapse, Azure SQL, Azure Storage and Power BI. Advanced AI technologies including machine learning, generative AI, cognitive services, and responsible AI frameworks. Power Platform & Dataverse A heavy focus on Power Platform and Dataverse, as all customer data interacts with these technologies. Designing scalable enterprise architectures, not ad-hoc integrations. Modern Data Architecture Lakehouse, data mesh, ELT/ETL patterns, MDM and dimensional modelling. Steering the "doers" in the team-architecting the solution, not building it yourself. Team & Practice Growth Mentoring and guiding a growing data team. Helping establish a maturing Data & AI division set for significant expansion over the coming years. Creating reusable accelerators and assets alongside the Product team. Benefits Health & wellness benefits covering medical, dental and eye care, plus health cashback. Car allowance inclusive of salary Cycle to Work scheme. Volunteering leave 24-hour Employee Assistance Programme. Gym and retail discounts. Flexibility to work from anywhere in the world for up to 4 weeks per year. Expected to attend London-based client sessions once per week. Key Experience Strong expertise across Azure data and AI services, including Fabric and ADF. Deep understanding of Dataverse and Power Platform. Demonstrable experience architecting complex, enterprise data and AI platforms. Confident communicator able to own presales and C-suite conversations. Knowledge of Dynamics 365, DevOps pipelines and Agile delivery. Experience with ML, generative AI and cognitive services. Expertise in lakehouse, data mesh, ELT/ETL, MDM and modelling techniques. Ability to guide delivery teams without being the hands-on builder. Willingness to travel for client sessions (primarily London). Ready to Take the Next Step? If you're passionate about leading modern Data & AI architecture, enjoy shaping presales strategy and want to play a key role in scaling a fast-growing division, this is an opportunity you won't want to miss. Apply now!
Jun 11, 2026
Full time
Data & AI Architect - Hybrid (London) - Azure - Fabric - Modern Data Architecture up to £110,000 If you're looking for a senior role where you can influence how Data & AI is shaped and delivered within a fast-growing Microsoft partner, this is an opportunity that truly stands out. The organisation is investing heavily in modern cloud, analytics and AI and they're building a team where experienced voices can make a real difference. You'll join a culture that values deep expertise, encourages open knowledge-sharing and supports ongoing development. With modern tools, varied client work and a people-focused approach, this is a place where a strong Data & AI leader can have a meaningful impact while helping scale a rapidly expanding data function. You Will Work With Strategic Leadership & Presales Senior and C-suite stakeholders, leading workshops, shaping solutions and commanding the room during presales engagements. Running gap-analysis sessions, contributing to the sales cycle and helping strengthen the organisation's data-led presales capability. Defining architectural direction and guiding programmes from concept to delivery. Microsoft Data & AI Ecosystem The full modern Microsoft data stack: Fabric, Azure Data Factory, Synapse, Azure SQL, Azure Storage and Power BI. Advanced AI technologies including machine learning, generative AI, cognitive services, and responsible AI frameworks. Power Platform & Dataverse A heavy focus on Power Platform and Dataverse, as all customer data interacts with these technologies. Designing scalable enterprise architectures, not ad-hoc integrations. Modern Data Architecture Lakehouse, data mesh, ELT/ETL patterns, MDM and dimensional modelling. Steering the "doers" in the team-architecting the solution, not building it yourself. Team & Practice Growth Mentoring and guiding a growing data team. Helping establish a maturing Data & AI division set for significant expansion over the coming years. Creating reusable accelerators and assets alongside the Product team. Benefits Health & wellness benefits covering medical, dental and eye care, plus health cashback. Car allowance inclusive of salary Cycle to Work scheme. Volunteering leave 24-hour Employee Assistance Programme. Gym and retail discounts. Flexibility to work from anywhere in the world for up to 4 weeks per year. Expected to attend London-based client sessions once per week. Key Experience Strong expertise across Azure data and AI services, including Fabric and ADF. Deep understanding of Dataverse and Power Platform. Demonstrable experience architecting complex, enterprise data and AI platforms. Confident communicator able to own presales and C-suite conversations. Knowledge of Dynamics 365, DevOps pipelines and Agile delivery. Experience with ML, generative AI and cognitive services. Expertise in lakehouse, data mesh, ELT/ETL, MDM and modelling techniques. Ability to guide delivery teams without being the hands-on builder. Willingness to travel for client sessions (primarily London). Ready to Take the Next Step? If you're passionate about leading modern Data & AI architecture, enjoy shaping presales strategy and want to play a key role in scaling a fast-growing division, this is an opportunity you won't want to miss. Apply now!
Senior / Lead Machine Learning Engineer - Time-Series, Pricing, Customer Behaviour, Feature stores, MLOps London Hybrid £100,000 - £120,000 + Equity This is a genuinely interesting opportunity for someone who enjoys solving large-scale, real-world machine learning problems rather than purely experimental work. The team is building forecasting, recommendation, pricing, and AI-driven decision systems that operate across a huge global dataset, with models directly influencing commercial decisions at scale. The role is heavily focused on machine learning engineering, particularly around time-series forecasting, scalable ML systems, feature stores, and MLOps. There's also some exposure to generative AI and LLM-related work, but this is primarily a deeply technical ML engineering role rather than a pure GenAI position. What makes the opportunity stand out is the blend of scale, technical complexity, and visibility. You'd be joining a relatively small but high-calibre AI team with strong research and engineering backgrounds, helping shape systems that directly influence pricing, marketing, and customer experience across thousands of businesses globally. They're looking for somebody who can stay hands-on technically while also helping guide more junior engineers and contribute to the wider technical direction of the team. The environment feels like a startup within a larger global business. There's plenty of ownership, freedom to influence technical decisions, and the opportunity to work on genuinely impactful AI systems at scale. The setup is hybrid with two days per week onsite in London. Experience around forecasting, time-series modelling, recommendation systems, production ML infrastructure, or large-scale MLOps environments would all be highly relevant. Salary: £100,000 - £120,000 plus equity and benefits. APPLY NOW for immediate consideration. N.B. - They do not offer visa sponsorship
Jun 11, 2026
Full time
Senior / Lead Machine Learning Engineer - Time-Series, Pricing, Customer Behaviour, Feature stores, MLOps London Hybrid £100,000 - £120,000 + Equity This is a genuinely interesting opportunity for someone who enjoys solving large-scale, real-world machine learning problems rather than purely experimental work. The team is building forecasting, recommendation, pricing, and AI-driven decision systems that operate across a huge global dataset, with models directly influencing commercial decisions at scale. The role is heavily focused on machine learning engineering, particularly around time-series forecasting, scalable ML systems, feature stores, and MLOps. There's also some exposure to generative AI and LLM-related work, but this is primarily a deeply technical ML engineering role rather than a pure GenAI position. What makes the opportunity stand out is the blend of scale, technical complexity, and visibility. You'd be joining a relatively small but high-calibre AI team with strong research and engineering backgrounds, helping shape systems that directly influence pricing, marketing, and customer experience across thousands of businesses globally. They're looking for somebody who can stay hands-on technically while also helping guide more junior engineers and contribute to the wider technical direction of the team. The environment feels like a startup within a larger global business. There's plenty of ownership, freedom to influence technical decisions, and the opportunity to work on genuinely impactful AI systems at scale. The setup is hybrid with two days per week onsite in London. Experience around forecasting, time-series modelling, recommendation systems, production ML infrastructure, or large-scale MLOps environments would all be highly relevant. Salary: £100,000 - £120,000 plus equity and benefits. APPLY NOW for immediate consideration. N.B. - They do not offer visa sponsorship
Are you the next Senior Systems Engineer to help build and shape the software behind our next generation laser processing platform? If so, Opsydia would love to hear from you as we expand into new markets and unlock new technical opportunities. Spun out from the University of Oxford in 2017, Opsydia is a specialist laser technology company harnessing decades of academic excellence and deep expertise in adaptive optics to enable the writing of features in transparent materials. Our writing technology has gone on to provide functionalities across scientific and industrial domains. Our platform enables the creation of functional devices in optical glass, diamond, and other transparent media, powering disruptive applications in datacoms, quantum technologies, and advanced sensing. THE ROLE As a Senior Systems Engineer, you will take full system-level ownership of Opsydia s next generation laser photonics products. This is a technical leadership role spanning architecture, integration, verification, and productization, ensuring that complex opto electro mechanical subsystems come together into robust, high performance solutions. You will lead the definition, design, and delivery of complete systems, balancing photonics, precision mechanics, automation, software, reliability engineering, and manufacturability. Working across early stage R&D, customer engagements, and product development, you will play a key role in shaping Opsydia s technical roadmap and maturing prototypes into deliverable, field ready products. Key Responsibilities End to End Systems Ownership o Lead system architecture from concept through requirements, detailed design, prototyping, verification, and release. o Develop system level specifications, performance budgets, and risk models across optical, mechanical, electrical, and software domains. o Define and drive processes for system integration, validation, and troubleshooting. Ultrafast Laser & Photonics Systems o Integrate and optimise femtosecond laser sources for high precision laser matter interaction applications. o Collaborate with laser manufacturers to define specifications, validate performance, and ensure long term stability and repeatability. o Manage system level trade offs involving beam delivery, adaptive optics, power stability, thermal management, and alignment tolerances. Precision Motion & Opto Mechanical Integration o Architect and integrate high precision motion systems (piezo, air bearing, linear motor) with sub micron or nanometre level stability. o Oversee opto mechanical design for robustness in industrial environments, ensuring vibration control, thermal stability, and reliability. o Work closely with the Software Team to achieve coordinated laser stage performance. System Integration & Verification o Combine lasers, adaptive optics, motion control, electronics, and machine vision into fully functional, production ready systems. o Use optical modelling and simulation tools to optimise performance and minimise error sources. o Develop verification plans, test procedures, and system level fault analysis frameworks. Automation, Control & Safety o Define system level control methodologies and sequencing alongside the Software Team. o Ensure full compliance with international laser safety standards and implement appropriate interlocks, monitoring, and diagnostic features. o Contribute to automation and workflow design that enhances stability, repeatability, and throughput. ABOUT YOU You will have a deep technical background with extensive of experience in photonics, laser systems, or precision instrumentation, ideally holding an advanced degree (Ph.D. or Master s) in Physics, Optical Engineering, or a related field. You take full accountability for delivering complex projects from concept to deployment, ensuring technical excellence and timely execution within a collaborative team environment You will be able to demonstrate the following: Expertise in ultrafast laser applications, including femtosecond systems and adaptive optics. Proven experience developing and integrating precision motion-controlled stages for high-accuracy processes. Strong background in photonics-based applications, from fibre coupling to photonic integrated circuits. Ability to architect and optimise complex optical systems, including adaptive optics and machine vision elements. A proactive, solution-oriented approach to technical challenges. Exceptional organisational, documentation, and communication skills for cross-functional collaboration. For this senior role, we expect applicants with significant experience in metrology, optics, and control systems, ideally with exposure to industrial-grade system integration and supplier engagement. You might also have: Practical knowledge of adaptive optics for beam shaping and correction. Expertise in waveguide fabrication or optical fibre performance characterization. Familiarity with mechanical design and optical simulation tools. Proven ability to configure and optimize precision motion control systems (piezo, air-bearing, interferometric feedback). Competence in automation and scripting for system control (Python, MATLAB, LabVIEW). Experience with advanced microscopy and analytical techniques. Track record of developing products and producing documentation for regulatory compliance. Understanding of intellectual property development and technology protection strategies. Previous involvement in project planning, risk assessment, and technical reporting. If you don't meet all of the criteria above, but are interested in the role, please apply or get in touch to discuss further. The role is advertised as full-time. We are pleased to accommodate flexible and hybrid working where appropriate but, as a hardware company, we find hands-on system and collaboration time to be highly valuable, so encourage time spent in the office and expect this when required. As part of the recruitment process a selected candidate will be required to undergo security screening to BPSS standard. Closing date: Friday 10th July 2026. Applications will be reviewed as received so this vacancy may be closed earlier; early applications are therefore encouraged. WHAT WE OFFER YOU Salary range: £54,000-£58,000 dependant on experience. Benefits Hybrid & flexible working arrangements Share option scheme Annual bonus scheme Private Medical Insurance Group Income Protection and Life Assurance Enhanced family leave Company matched pension contributions up to 5%. Salary sacrifice arrangement is available 25 days paid leave plus bank holidays Cycle to Work Scheme Mental Health and Wellbeing support and activities Supported further study or training for your professional and personal development Volunteering opportunities EQUAL OPPORTUNITIES We are an equal opportunities employer and commit to encouraging equality, diversity and inclusion in the workplace whilst creating an environment which promotes dignity and respect for all. We post our job descriptions across a wide range of recruitment platforms to enable us to garner the most diverse range of candidates we possibly can. ADJUSTMENTS AND PROVISIONS We are dedicated to putting in place any reasonable adjustments that may be required to meet the needs of those who wish to apply for a position at Opsydia. Please share if you have a declared disability, for example but not limited to: a social communication impairment such as autism spectrum disorder, a specific learning difficulty such as dyslexia, dyspraxia or ADHD; a mental health condition, a sensory impairment affecting sight or hearing or a physical or mobility impairment. ALTERNATIVE FORMATS We can provide our job descriptions in an alternative format of video or audio description ABOUT OPSYDIA Opsydia provides commercial systems based on adaptive optics which can directly generate photonic structures in a variety of transparent materials. Learn more at The company is based in the Centre for Innovation & Enterprise at Begbroke Science Park north of Oxford. Begbroke offers comprehensive facilities on-site including a restaurant, coffee shop, free parking and a minibus service between the park and Oxford. Your data will be held in line with our recruitment privacy policy available at
Jun 11, 2026
Full time
Are you the next Senior Systems Engineer to help build and shape the software behind our next generation laser processing platform? If so, Opsydia would love to hear from you as we expand into new markets and unlock new technical opportunities. Spun out from the University of Oxford in 2017, Opsydia is a specialist laser technology company harnessing decades of academic excellence and deep expertise in adaptive optics to enable the writing of features in transparent materials. Our writing technology has gone on to provide functionalities across scientific and industrial domains. Our platform enables the creation of functional devices in optical glass, diamond, and other transparent media, powering disruptive applications in datacoms, quantum technologies, and advanced sensing. THE ROLE As a Senior Systems Engineer, you will take full system-level ownership of Opsydia s next generation laser photonics products. This is a technical leadership role spanning architecture, integration, verification, and productization, ensuring that complex opto electro mechanical subsystems come together into robust, high performance solutions. You will lead the definition, design, and delivery of complete systems, balancing photonics, precision mechanics, automation, software, reliability engineering, and manufacturability. Working across early stage R&D, customer engagements, and product development, you will play a key role in shaping Opsydia s technical roadmap and maturing prototypes into deliverable, field ready products. Key Responsibilities End to End Systems Ownership o Lead system architecture from concept through requirements, detailed design, prototyping, verification, and release. o Develop system level specifications, performance budgets, and risk models across optical, mechanical, electrical, and software domains. o Define and drive processes for system integration, validation, and troubleshooting. Ultrafast Laser & Photonics Systems o Integrate and optimise femtosecond laser sources for high precision laser matter interaction applications. o Collaborate with laser manufacturers to define specifications, validate performance, and ensure long term stability and repeatability. o Manage system level trade offs involving beam delivery, adaptive optics, power stability, thermal management, and alignment tolerances. Precision Motion & Opto Mechanical Integration o Architect and integrate high precision motion systems (piezo, air bearing, linear motor) with sub micron or nanometre level stability. o Oversee opto mechanical design for robustness in industrial environments, ensuring vibration control, thermal stability, and reliability. o Work closely with the Software Team to achieve coordinated laser stage performance. System Integration & Verification o Combine lasers, adaptive optics, motion control, electronics, and machine vision into fully functional, production ready systems. o Use optical modelling and simulation tools to optimise performance and minimise error sources. o Develop verification plans, test procedures, and system level fault analysis frameworks. Automation, Control & Safety o Define system level control methodologies and sequencing alongside the Software Team. o Ensure full compliance with international laser safety standards and implement appropriate interlocks, monitoring, and diagnostic features. o Contribute to automation and workflow design that enhances stability, repeatability, and throughput. ABOUT YOU You will have a deep technical background with extensive of experience in photonics, laser systems, or precision instrumentation, ideally holding an advanced degree (Ph.D. or Master s) in Physics, Optical Engineering, or a related field. You take full accountability for delivering complex projects from concept to deployment, ensuring technical excellence and timely execution within a collaborative team environment You will be able to demonstrate the following: Expertise in ultrafast laser applications, including femtosecond systems and adaptive optics. Proven experience developing and integrating precision motion-controlled stages for high-accuracy processes. Strong background in photonics-based applications, from fibre coupling to photonic integrated circuits. Ability to architect and optimise complex optical systems, including adaptive optics and machine vision elements. A proactive, solution-oriented approach to technical challenges. Exceptional organisational, documentation, and communication skills for cross-functional collaboration. For this senior role, we expect applicants with significant experience in metrology, optics, and control systems, ideally with exposure to industrial-grade system integration and supplier engagement. You might also have: Practical knowledge of adaptive optics for beam shaping and correction. Expertise in waveguide fabrication or optical fibre performance characterization. Familiarity with mechanical design and optical simulation tools. Proven ability to configure and optimize precision motion control systems (piezo, air-bearing, interferometric feedback). Competence in automation and scripting for system control (Python, MATLAB, LabVIEW). Experience with advanced microscopy and analytical techniques. Track record of developing products and producing documentation for regulatory compliance. Understanding of intellectual property development and technology protection strategies. Previous involvement in project planning, risk assessment, and technical reporting. If you don't meet all of the criteria above, but are interested in the role, please apply or get in touch to discuss further. The role is advertised as full-time. We are pleased to accommodate flexible and hybrid working where appropriate but, as a hardware company, we find hands-on system and collaboration time to be highly valuable, so encourage time spent in the office and expect this when required. As part of the recruitment process a selected candidate will be required to undergo security screening to BPSS standard. Closing date: Friday 10th July 2026. Applications will be reviewed as received so this vacancy may be closed earlier; early applications are therefore encouraged. WHAT WE OFFER YOU Salary range: £54,000-£58,000 dependant on experience. Benefits Hybrid & flexible working arrangements Share option scheme Annual bonus scheme Private Medical Insurance Group Income Protection and Life Assurance Enhanced family leave Company matched pension contributions up to 5%. Salary sacrifice arrangement is available 25 days paid leave plus bank holidays Cycle to Work Scheme Mental Health and Wellbeing support and activities Supported further study or training for your professional and personal development Volunteering opportunities EQUAL OPPORTUNITIES We are an equal opportunities employer and commit to encouraging equality, diversity and inclusion in the workplace whilst creating an environment which promotes dignity and respect for all. We post our job descriptions across a wide range of recruitment platforms to enable us to garner the most diverse range of candidates we possibly can. ADJUSTMENTS AND PROVISIONS We are dedicated to putting in place any reasonable adjustments that may be required to meet the needs of those who wish to apply for a position at Opsydia. Please share if you have a declared disability, for example but not limited to: a social communication impairment such as autism spectrum disorder, a specific learning difficulty such as dyslexia, dyspraxia or ADHD; a mental health condition, a sensory impairment affecting sight or hearing or a physical or mobility impairment. ALTERNATIVE FORMATS We can provide our job descriptions in an alternative format of video or audio description ABOUT OPSYDIA Opsydia provides commercial systems based on adaptive optics which can directly generate photonic structures in a variety of transparent materials. Learn more at The company is based in the Centre for Innovation & Enterprise at Begbroke Science Park north of Oxford. Begbroke offers comprehensive facilities on-site including a restaurant, coffee shop, free parking and a minibus service between the park and Oxford. Your data will be held in line with our recruitment privacy policy available at
Lloyd Recruitment - East Grinstead
Crawley, Sussex
Data Science Analyst - Travel 60,000 - 70,000 Pro Rata (DOE) Outskirts of Crawley Hybrid Working (2 Days Office / 3 Days WFH) Immediate Start Potential Permanent Opportunity Lloyd Recruitment Services is pleased to be working with a leading travel and leisure organisation to recruit a Data Science Analyst for a newly created position within their Commercial team. Reporting to the Commercial lead, this is an exciting opportunity to join a well-established organisation that is investing heavily in data, analytics, AI and commercial insight. Initially offered on a fixed-term basis, the role has strong potential to become permanent. The Data Science Analyst Role Working closely with the Lead Commercial Analyst, you will use data to drive business performance across membership, travel, leisure and financial service products. You'll be responsible for delivering meaningful insights, developing predictive models, supporting forecasting activities and helping shape the organisation's data science capabilities. Data Science Analyst Key Responsibilities Deliver commercial reporting, management information and KPI dashboards Analyse large and complex datasets to identify trends, opportunities and root causes Build predictive models to support customer acquisition, retention and lifetime value initiatives Support revenue, demand and occupancy forecasting Develop commercial models to evaluate business opportunities and promotions Champion AI and automation initiatives across commercial and marketing teams Create clear, actionable insights for senior stakeholders Work with technical teams to improve data quality and reporting processes About You Industry experience across one or more of the following: travel & tourism, hospitality, memberships, subscriptions or insurance - essential Proven experience in a Data Science, Data Analytics or Commercial Analytics role Advanced SQL and strong data manipulation skills Experience using Python or R for predictive modelling and machine learning Strong dashboarding and visualisation skills using Tableau, Power BI or similar Excellent commercial awareness and analytical thinking Ability to communicate complex findings to non-technical audiences Degree educated in a numerical discipline such as Data Science, Statistics, Mathematics, Economics or Physics What's on Offer 60,000 - 70,000 pro rata (DOE) Hybrid working - 2 days office, 3 days from home Newly created role with significant business exposure Opportunity to influence commercial strategy and AI adoption Potential for the role to become permanent Immediate start available (ideally start within a months' notice) If you're a commercially minded data professional looking to combine analytics, predictive modelling and business insight in a high-impact role, we'd love to hear from you. Extra info: Refer a friend and earn up to 500 (see website for details). Due to high application volumes, only shortlisted candidates will be contacted. If you don't hear back within 5 days, please assume you have not been successful. By applying, you accept Lloyd Recruitment Services' Privacy and GDPR Policy (see website). Lloyd Recruitment Services are acting as an employment agency for this vacancy and are an equal opportunities employer.
Jun 11, 2026
Contractor
Data Science Analyst - Travel 60,000 - 70,000 Pro Rata (DOE) Outskirts of Crawley Hybrid Working (2 Days Office / 3 Days WFH) Immediate Start Potential Permanent Opportunity Lloyd Recruitment Services is pleased to be working with a leading travel and leisure organisation to recruit a Data Science Analyst for a newly created position within their Commercial team. Reporting to the Commercial lead, this is an exciting opportunity to join a well-established organisation that is investing heavily in data, analytics, AI and commercial insight. Initially offered on a fixed-term basis, the role has strong potential to become permanent. The Data Science Analyst Role Working closely with the Lead Commercial Analyst, you will use data to drive business performance across membership, travel, leisure and financial service products. You'll be responsible for delivering meaningful insights, developing predictive models, supporting forecasting activities and helping shape the organisation's data science capabilities. Data Science Analyst Key Responsibilities Deliver commercial reporting, management information and KPI dashboards Analyse large and complex datasets to identify trends, opportunities and root causes Build predictive models to support customer acquisition, retention and lifetime value initiatives Support revenue, demand and occupancy forecasting Develop commercial models to evaluate business opportunities and promotions Champion AI and automation initiatives across commercial and marketing teams Create clear, actionable insights for senior stakeholders Work with technical teams to improve data quality and reporting processes About You Industry experience across one or more of the following: travel & tourism, hospitality, memberships, subscriptions or insurance - essential Proven experience in a Data Science, Data Analytics or Commercial Analytics role Advanced SQL and strong data manipulation skills Experience using Python or R for predictive modelling and machine learning Strong dashboarding and visualisation skills using Tableau, Power BI or similar Excellent commercial awareness and analytical thinking Ability to communicate complex findings to non-technical audiences Degree educated in a numerical discipline such as Data Science, Statistics, Mathematics, Economics or Physics What's on Offer 60,000 - 70,000 pro rata (DOE) Hybrid working - 2 days office, 3 days from home Newly created role with significant business exposure Opportunity to influence commercial strategy and AI adoption Potential for the role to become permanent Immediate start available (ideally start within a months' notice) If you're a commercially minded data professional looking to combine analytics, predictive modelling and business insight in a high-impact role, we'd love to hear from you. Extra info: Refer a friend and earn up to 500 (see website for details). Due to high application volumes, only shortlisted candidates will be contacted. If you don't hear back within 5 days, please assume you have not been successful. By applying, you accept Lloyd Recruitment Services' Privacy and GDPR Policy (see website). Lloyd Recruitment Services are acting as an employment agency for this vacancy and are an equal opportunities employer.
Machine Learning Engineer with generative AI, LLM or ML experience is sought by a high growth scale up based near Birmingham. Working at the forefront of national security innovation this Machine Learning Engineer will work within a R&D team collaborating with industry partners to turn ideas into production ready, market leading solutions. This role would suit a software engineer with a couple of years commercial experience within broad range of technologies and a demonstratable passion for AI/ ML innovation who is looking for a truly collaborative, autonomous working environment with end to end project exposure. In return this Machine Learning Engineer can expect excellent career development and training opportunities within a market leading SME. Given the nature of the work all successful candidates will need to be British citizens This Machine Learning Engineer should have most of the following key skills: - A software or data engineering background - Python, JavaScript, Typescript node.js etc - A real passion for bleeding edge generative AI and/or advanced machine learning technology - Pytorch, TensorFlow, LlamaCPP, Keras etc - Varied database exposure - PostgreSQL, MongoDB, CosmosDB - Cloud services exposure - AWS preferred but all considered - Very strong communication skills - Experience working in R&D or small technical teams would be a plus This Machine Learning Engineer will receive - Starting salary of up £70,000 DoE - Hybrid working (1 day a week in the office) - Extensive personal development scheme - 25 days holiday - Generous pension scheme - 10% Bonus - Private healthcare - Truly autonomous, collaborative culture with extensive growth potential - Regular remuneration reviews So if you are a Machine Learning Engineer who wants to join a market leading business with innovation at its core please apply now to be considered Birmingham Research & development, generative AI, machine learning, LLM, Python, PyTorch
Jun 11, 2026
Full time
Machine Learning Engineer with generative AI, LLM or ML experience is sought by a high growth scale up based near Birmingham. Working at the forefront of national security innovation this Machine Learning Engineer will work within a R&D team collaborating with industry partners to turn ideas into production ready, market leading solutions. This role would suit a software engineer with a couple of years commercial experience within broad range of technologies and a demonstratable passion for AI/ ML innovation who is looking for a truly collaborative, autonomous working environment with end to end project exposure. In return this Machine Learning Engineer can expect excellent career development and training opportunities within a market leading SME. Given the nature of the work all successful candidates will need to be British citizens This Machine Learning Engineer should have most of the following key skills: - A software or data engineering background - Python, JavaScript, Typescript node.js etc - A real passion for bleeding edge generative AI and/or advanced machine learning technology - Pytorch, TensorFlow, LlamaCPP, Keras etc - Varied database exposure - PostgreSQL, MongoDB, CosmosDB - Cloud services exposure - AWS preferred but all considered - Very strong communication skills - Experience working in R&D or small technical teams would be a plus This Machine Learning Engineer will receive - Starting salary of up £70,000 DoE - Hybrid working (1 day a week in the office) - Extensive personal development scheme - 25 days holiday - Generous pension scheme - 10% Bonus - Private healthcare - Truly autonomous, collaborative culture with extensive growth potential - Regular remuneration reviews So if you are a Machine Learning Engineer who wants to join a market leading business with innovation at its core please apply now to be considered Birmingham Research & development, generative AI, machine learning, LLM, Python, PyTorch
AI Implementation Engineer - Manchester A growing technology-led business is looking to hire an AI Implementation Engineer to help drive practical AI adoption across multiple areas of the organisation. This is a hands-on role focused on delivering AI solutions from concept through to live deployment and business adoption. Working within IT and closely alongside operational and commercial teams, you will build and implement practical AI use cases using Azure, LLMs, machine learning, and AI agents - ensuring solutions are secure, integrated, scalable, and actively used across the business. The organisation is already exploring a broad range of AI initiatives and is looking for someone capable of getting hands-on with implementation, working collaboratively with existing technical teams, and helping shape the future AI capability of the business. This role would suit someone who enjoys building practical AI solutions, solving operational problems, and delivering measurable business impact in a fast-moving environment. Role Purpose Hands-on role responsible for delivering AI solutions from concept through to live deployment and business adoption. Working within IT and closely with business teams, you will build and implement practical AI use cases using Azure, LLMs, ML, and AI agents - ensuring they are secure, integrated, scalable, and actively used. Key Responsibilities Design and build high-performing AI models tailored to specific business needs Lead rapid prototyping initiatives through to production delivery Work directly with the IT Infrastructure team to deploy AI models into production environments Ensure solutions use Private Endpoints and meet enterprise-grade security standards Work with operational and business teams to embed AI tools into day-to-day workflows Drive adoption and ensure teams are actively using implemented AI solutions Set up automated evaluation and monitoring frameworks for production AI environments, including hallucination detection, drift monitoring, and latency tracking (GenAIOps) Ensure AI solutions integrate securely with existing systems, data platforms, and APIs Collaborate with commercial stakeholders to assess project viability and business value before implementation Measure and track project impact, including efficiency gains, time savings, automation improvements, and quality outcomes Work closely with IT, development, and leadership teams to identify and prioritise AI opportunities across the organisation Required Experience Essential Deep expertise in Python and relevant AI/ML frameworks and SDKs Proven experience building RAG pipelines that operate effectively in production environments Hands-on experience with model packaging, deployment, and production AI workflows Strong understanding of enterprise infrastructure concepts including VNets, Entra ID, API Gateways, and secure integrations Experience working with at least one major enterprise AI cloud platform (Azure preferred) Strong SQL skills and experience working with both structured and unstructured data Experience building AI agents, workflow automation, and tool/API integrations Strong understanding of AI implementation, deployment, and operationalisation Ability to work closely with technical and non-technical stakeholders Strong problem-solving and communication skills Desirable Experience with LLMOps / GenAIOps tooling and monitoring frameworks Exposure to OCR, computer vision, voice AI, or conversational AI solutions Experience working in operational, retail, automotive, or customer-focused businesses Familiarity with AI governance, security, and scalability best practices Experience helping shape or build internal AI capabilities within a business Salary & Benefits Competitive salary depending on experience Quarterly bonus scheme Hybrid working arrangements - 3 days office / 2 days remote Opportunity to shape AI capability within a growing business Strong long-term career progression opportunities Interested? Please click Apply Now! AI Implementation Engineer - Manchester
Jun 11, 2026
Full time
AI Implementation Engineer - Manchester A growing technology-led business is looking to hire an AI Implementation Engineer to help drive practical AI adoption across multiple areas of the organisation. This is a hands-on role focused on delivering AI solutions from concept through to live deployment and business adoption. Working within IT and closely alongside operational and commercial teams, you will build and implement practical AI use cases using Azure, LLMs, machine learning, and AI agents - ensuring solutions are secure, integrated, scalable, and actively used across the business. The organisation is already exploring a broad range of AI initiatives and is looking for someone capable of getting hands-on with implementation, working collaboratively with existing technical teams, and helping shape the future AI capability of the business. This role would suit someone who enjoys building practical AI solutions, solving operational problems, and delivering measurable business impact in a fast-moving environment. Role Purpose Hands-on role responsible for delivering AI solutions from concept through to live deployment and business adoption. Working within IT and closely with business teams, you will build and implement practical AI use cases using Azure, LLMs, ML, and AI agents - ensuring they are secure, integrated, scalable, and actively used. Key Responsibilities Design and build high-performing AI models tailored to specific business needs Lead rapid prototyping initiatives through to production delivery Work directly with the IT Infrastructure team to deploy AI models into production environments Ensure solutions use Private Endpoints and meet enterprise-grade security standards Work with operational and business teams to embed AI tools into day-to-day workflows Drive adoption and ensure teams are actively using implemented AI solutions Set up automated evaluation and monitoring frameworks for production AI environments, including hallucination detection, drift monitoring, and latency tracking (GenAIOps) Ensure AI solutions integrate securely with existing systems, data platforms, and APIs Collaborate with commercial stakeholders to assess project viability and business value before implementation Measure and track project impact, including efficiency gains, time savings, automation improvements, and quality outcomes Work closely with IT, development, and leadership teams to identify and prioritise AI opportunities across the organisation Required Experience Essential Deep expertise in Python and relevant AI/ML frameworks and SDKs Proven experience building RAG pipelines that operate effectively in production environments Hands-on experience with model packaging, deployment, and production AI workflows Strong understanding of enterprise infrastructure concepts including VNets, Entra ID, API Gateways, and secure integrations Experience working with at least one major enterprise AI cloud platform (Azure preferred) Strong SQL skills and experience working with both structured and unstructured data Experience building AI agents, workflow automation, and tool/API integrations Strong understanding of AI implementation, deployment, and operationalisation Ability to work closely with technical and non-technical stakeholders Strong problem-solving and communication skills Desirable Experience with LLMOps / GenAIOps tooling and monitoring frameworks Exposure to OCR, computer vision, voice AI, or conversational AI solutions Experience working in operational, retail, automotive, or customer-focused businesses Familiarity with AI governance, security, and scalability best practices Experience helping shape or build internal AI capabilities within a business Salary & Benefits Competitive salary depending on experience Quarterly bonus scheme Hybrid working arrangements - 3 days office / 2 days remote Opportunity to shape AI capability within a growing business Strong long-term career progression opportunities Interested? Please click Apply Now! AI Implementation Engineer - Manchester
AI Architect 6 Months Must have or be eligible for SC Clearance TBC (Inside IR35) My client, a government body are looking for an AI Architect to join their fast-paced team on an initial 6 month contract. As an AI Architect, you will be part of a team of specialists who work with our industry-facing client partners to shape, design and deliver AI solutions to our clients. This is a fast-paced area of IT, so you will need to be continuously learning, be self-driven and think creatively about solving client problems. You will work with others to reflect back the views of our clients and prospects and help to continuously shape our solutions. On the job details- Designing and implementing innovative AI solutions that meet client needs and drive business value. Collaborating with cross-functional teams to integrate AI technologies into existing systems and processes. Demonstrating modern AI solutions to clients, showcasing their benefits and applications. Conducting research and analysis to stay updated on the latest AI trends and technologies. Communicating complex AI concepts and solutions to stakeholders in a clear and engaging manner. Distilling information about proposed architectures into actionable insights for developers to implement those solutions effectively. Creating and managing agents, knowledge graphs and chatbots to enhance user experience and efficiency. Architecting and leading the implementation of AI harness engineering ecosystems and agentic solutions using platforms such as Claude Code, Claude Agent SDK, Codex, and related AI engineering toolchains. Developing and optimizing AI models using machine learning and AI engineering platforms. Mentoring and guiding team members to foster a culture of continuous learning and innovation in AI. Skills and Experience required- Strong experience with Solution Architecture, with specific recent focus on AI and Generative AI solutions, demonstrating a strong understanding of current trends and technologies. Proven ability to architect and deploy innovative AI solutions under tight deadlines, effectively showcasing these solutions to client stakeholders and communicating their business impact. Experience in providing solutions using Agent Harness, Retrieval-Augmented Generation (RAG), GraphRAG, knowledge graphs, code agents, deep research agents, and chatbots. Familiarity with AI engineering platforms (Azure AI Foundry, AWS Bedrock). Knowledge of agentic frameworks (Claude Agent SDK, AWS Bedrock AgentCore, MS Agent Framework, Langgraph Deep Agents,) and machine learning platforms for model training and deployment. Strong problem-solving skills, a proactive attitude, and an entrepreneurial mindset with a commitment to continuous learning. Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.
Jun 11, 2026
Contractor
AI Architect 6 Months Must have or be eligible for SC Clearance TBC (Inside IR35) My client, a government body are looking for an AI Architect to join their fast-paced team on an initial 6 month contract. As an AI Architect, you will be part of a team of specialists who work with our industry-facing client partners to shape, design and deliver AI solutions to our clients. This is a fast-paced area of IT, so you will need to be continuously learning, be self-driven and think creatively about solving client problems. You will work with others to reflect back the views of our clients and prospects and help to continuously shape our solutions. On the job details- Designing and implementing innovative AI solutions that meet client needs and drive business value. Collaborating with cross-functional teams to integrate AI technologies into existing systems and processes. Demonstrating modern AI solutions to clients, showcasing their benefits and applications. Conducting research and analysis to stay updated on the latest AI trends and technologies. Communicating complex AI concepts and solutions to stakeholders in a clear and engaging manner. Distilling information about proposed architectures into actionable insights for developers to implement those solutions effectively. Creating and managing agents, knowledge graphs and chatbots to enhance user experience and efficiency. Architecting and leading the implementation of AI harness engineering ecosystems and agentic solutions using platforms such as Claude Code, Claude Agent SDK, Codex, and related AI engineering toolchains. Developing and optimizing AI models using machine learning and AI engineering platforms. Mentoring and guiding team members to foster a culture of continuous learning and innovation in AI. Skills and Experience required- Strong experience with Solution Architecture, with specific recent focus on AI and Generative AI solutions, demonstrating a strong understanding of current trends and technologies. Proven ability to architect and deploy innovative AI solutions under tight deadlines, effectively showcasing these solutions to client stakeholders and communicating their business impact. Experience in providing solutions using Agent Harness, Retrieval-Augmented Generation (RAG), GraphRAG, knowledge graphs, code agents, deep research agents, and chatbots. Familiarity with AI engineering platforms (Azure AI Foundry, AWS Bedrock). Knowledge of agentic frameworks (Claude Agent SDK, AWS Bedrock AgentCore, MS Agent Framework, Langgraph Deep Agents,) and machine learning platforms for model training and deployment. Strong problem-solving skills, a proactive attitude, and an entrepreneurial mindset with a commitment to continuous learning. Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.
