Engineering Lead Software Manager Founding Engineer Python - Agentic AI - FastAPI - CI/CD Fully Remote (UK / Europe) A small and talented team of talented engineers & data scientists are quietly building something interesting. Well-backed and operating in the AI engineering space, they partner with PE backed businesses to solve complex technical and analytical problems - taking ideas from early concept through to production-grade systems. They're still early enough that the engineering culture, ways of working, and technical direction are being shaped. With a team of around 15 today and plans to grow to 50 over the next 12 months, the foundations being laid now will matter. This is where you come in. You'll join as a Founding Engineer / Engineering Lead, taking ownership of building production-grade systems (not just prototypes) in an environment where AI isn't a side project, it's central to what's being delivered. The work is varied and delivery-focused. You might be designing APIs one week, thinking through async processing and scale the next, and then helping shape how something is deployed, monitored, and improved in production - often in real client environments. This role is for someone who thinks commercially and works in partnership with clients to capture and design solutions from the ground up. What we're looking for Strong Python experience, particularly with asynchronous or distributed systems Solid experience building APIs and backend services Good understanding of cloud environments (Azure preferred), CI/CD, and deployment Experience building and shipping systems used in real-world environments (ideally client-facing or delivery-led) Someone who enjoys the craft of engineering, not just shipping code, but building things properly A genuine interest in AI and how it's shaping modern software development Why this role Fully remote across the UK Early-stage, but well-funded and already delivering real projects A chance to influence how things are built as the team scales Work that balances pace with quality, no endless POCs that go nowhere If you're an engineer who reads about new tech out of curiosity, and you like the idea of being part of a team still figuring things out, this would be a great fit. Hit apply or contact (url removed) Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Jun 14, 2026
Full time
Engineering Lead Software Manager Founding Engineer Python - Agentic AI - FastAPI - CI/CD Fully Remote (UK / Europe) A small and talented team of talented engineers & data scientists are quietly building something interesting. Well-backed and operating in the AI engineering space, they partner with PE backed businesses to solve complex technical and analytical problems - taking ideas from early concept through to production-grade systems. They're still early enough that the engineering culture, ways of working, and technical direction are being shaped. With a team of around 15 today and plans to grow to 50 over the next 12 months, the foundations being laid now will matter. This is where you come in. You'll join as a Founding Engineer / Engineering Lead, taking ownership of building production-grade systems (not just prototypes) in an environment where AI isn't a side project, it's central to what's being delivered. The work is varied and delivery-focused. You might be designing APIs one week, thinking through async processing and scale the next, and then helping shape how something is deployed, monitored, and improved in production - often in real client environments. This role is for someone who thinks commercially and works in partnership with clients to capture and design solutions from the ground up. What we're looking for Strong Python experience, particularly with asynchronous or distributed systems Solid experience building APIs and backend services Good understanding of cloud environments (Azure preferred), CI/CD, and deployment Experience building and shipping systems used in real-world environments (ideally client-facing or delivery-led) Someone who enjoys the craft of engineering, not just shipping code, but building things properly A genuine interest in AI and how it's shaping modern software development Why this role Fully remote across the UK Early-stage, but well-funded and already delivering real projects A chance to influence how things are built as the team scales Work that balances pace with quality, no endless POCs that go nowhere If you're an engineer who reads about new tech out of curiosity, and you like the idea of being part of a team still figuring things out, this would be a great fit. Hit apply or contact (url removed) Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
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 13, 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 Engineer Hybrid Python AWS LLMs Agentic AI We're working with a fast-growing technology business investing heavily in AI-driven product development and intelligent automation. They're looking for an experienced AI Engineer to help build scalable, production-grade AI systems that deliver real commercial impact across their platform. This is not a research role. It's a hands-on engineering position focused on designing, building and deploying AI capabilities into live products used by customers globally. You'll be working across modern AI tooling, backend engineering and cloud infrastructure to develop intelligent workflows, LLM-powered features and agentic systems that improve automation, decision-making and user experience. What you'll be doing Building and deploying production AI applications using LLMs Designing agentic workflows and multi-step AI pipelines Developing scalable backend APIs and cloud-native services Creating RAG pipelines, embeddings and AI retrieval systems Improving AI reliability through testing, evaluation and guardrails Working closely with engineering, product and business teams Contributing to architecture decisions and AI best practice Helping shape the future direction of AI capability across the business Tech environment Python, AWS, APIs, LLMs, RAG, Docker, Kubernetes, microservices, cloud-native architecture and modern AI engineering tooling. What they're looking for Strong Python backend engineering experience Experience building and deploying LLM-based applications Good understanding of APIs, distributed systems and cloud platforms Hands-on experience with RAG, embeddings and AI orchestration Experience with Docker/Kubernetes and modern engineering practices Someone comfortable operating in a fast-moving product environment Nice to have Experience with agentic AI frameworks AI evaluation and guardrail implementation Fine-tuning or hosting LLMs Reinforcement learning or planning systems MSc or PhD in a relevant discipline Why apply? Opportunity to work on genuinely cutting-edge AI products High-impact engineering role with real ownership Modern tech stack and AI-first environment Fully remote flexibility Strong growth plans and long-term AI investment If you're interested in building production AI systems rather than just experimenting with them, this is a genuinely strong opportunity to join a business putting AI at the centre of its product strategy.
Jun 13, 2026
Full time
AI Engineer Hybrid Python AWS LLMs Agentic AI We're working with a fast-growing technology business investing heavily in AI-driven product development and intelligent automation. They're looking for an experienced AI Engineer to help build scalable, production-grade AI systems that deliver real commercial impact across their platform. This is not a research role. It's a hands-on engineering position focused on designing, building and deploying AI capabilities into live products used by customers globally. You'll be working across modern AI tooling, backend engineering and cloud infrastructure to develop intelligent workflows, LLM-powered features and agentic systems that improve automation, decision-making and user experience. What you'll be doing Building and deploying production AI applications using LLMs Designing agentic workflows and multi-step AI pipelines Developing scalable backend APIs and cloud-native services Creating RAG pipelines, embeddings and AI retrieval systems Improving AI reliability through testing, evaluation and guardrails Working closely with engineering, product and business teams Contributing to architecture decisions and AI best practice Helping shape the future direction of AI capability across the business Tech environment Python, AWS, APIs, LLMs, RAG, Docker, Kubernetes, microservices, cloud-native architecture and modern AI engineering tooling. What they're looking for Strong Python backend engineering experience Experience building and deploying LLM-based applications Good understanding of APIs, distributed systems and cloud platforms Hands-on experience with RAG, embeddings and AI orchestration Experience with Docker/Kubernetes and modern engineering practices Someone comfortable operating in a fast-moving product environment Nice to have Experience with agentic AI frameworks AI evaluation and guardrail implementation Fine-tuning or hosting LLMs Reinforcement learning or planning systems MSc or PhD in a relevant discipline Why apply? Opportunity to work on genuinely cutting-edge AI products High-impact engineering role with real ownership Modern tech stack and AI-first environment Fully remote flexibility Strong growth plans and long-term AI investment If you're interested in building production AI systems rather than just experimenting with them, this is a genuinely strong opportunity to join a business putting AI at the centre of its product strategy.
Principal AI Scientist - Learning & Assessment AI Location: UK Remote (Candidates must be UK based) Salary: 110,000 - 125,000 Employment Type: Permanent The Opportunity We're working with an innovative technology-led organisation that is transforming how AI is used within learning, assessment, and workforce skills development. They are seeking a Principal AI Scientist to lead the scientific design, validation, and evolution of next-generation AI-powered assessment and learning solutions embedded directly into the flow of work. This is a senior individual contributor role suited to someone with deep expertise across AI/ML, psychometrics, measurement science, and production-scale intelligent systems. The successful candidate will operate as a scientific authority within the organisation, shaping methodology, influencing product direction, and ensuring AI-driven solutions are fair, explainable, scalable, and scientifically rigorous. The role offers the opportunity to work at the intersection of modern AI systems, applied research, and enterprise-scale product delivery. The Role As Principal AI Scientist, you will take ownership of the scientific and methodological direction of AI-enabled learning and assessment products. You will work closely with product leadership, engineering teams, data scientists, and domain experts to translate advanced research into production-ready systems that deliver measurable user and business outcomes. This position requires someone comfortable operating in highly complex environments with significant technical, ethical, and commercial considerations. Key Responsibilities Scientific Leadership & Product Ownership Lead the scientific strategy for AI-enabled assessment, learning, and skills products Define robust methodologies balancing innovation, scalability, fairness, validity, and explainability Act as the senior scientific authority for assessment and measurement decisions Establish scientific standards, reusable frameworks, and evaluation methodologies Lead validation studies to ensure reliability, consistency, fairness, and performance stability Define and monitor scientific KPIs including drift detection, bias indicators, and model effectiveness Identify and mitigate scientific and measurement risks associated with AI systems at scale AI, Machine Learning & Modern AI Systems Apply AI and machine learning techniques, including LLMs and foundation models, to learning and assessment use cases Support development of AI-powered capabilities such as: Skills inference Adaptive assessment Automated content generation AI-driven feedback and reasoning systems Contribute to the evaluation and governance of agentic AI workflows Partner with engineering teams to ensure scientific integrity is maintained throughout implementation and deployment Support lifecycle monitoring and continuous improvement of production AI systems Research, Innovation & Strategic Influence Translate research findings into scalable, commercially viable product capabilities Produce thought leadership content including whitepapers and scientific insights Influence product and AI strategy through scientific expertise and evidence-based recommendations Support internal and external discussions around responsible AI and ethical AI implementation Engage with enterprise stakeholders and senior leadership on scientific and AI-related topics Required Experience Advanced degree (MSc or PhD preferred) in: Psychometrics Educational Measurement Statistics Machine Learning Artificial Intelligence Data Science Or equivalent commercial experience Proven experience building or leading AI-enabled assessment or measurement systems Deep expertise in validation methodologies, statistical modelling, and measurement theory Strong applied experience with machine learning and AI systems in production environments Practical understanding of modern AI architectures including Large Language Models (LLMs) Experience collaborating closely with engineering and product teams Ability to influence technical and strategic decisions through expertise rather than direct authority Experience operating in complex, high-ambiguity environments with significant business or ethical risk considerations Desirable Experience Experience applying LLMs within learning, workforce skills, or assessment products Exposure to adaptive testing, continuous assessment, or automated item/content generation Experience evaluating or governing AI agentic workflows Background within learning technology, education technology, workforce development, or skills ecosystems Experience working on enterprise-scale or long-lived AI platforms What They're Looking For A scientifically rigorous thinker with strong commercial awareness Someone passionate about responsible and explainable AI Comfortable balancing research innovation with practical delivery Strong communicator able to work across technical and non-technical audiences A collaborative leader who enjoys solving complex real-world problems Package 110,000 - 125,000 salary Fully remote role within the UK High-impact position within a cutting-edge AI environment Opportunity to influence next-generation AI products at scale Please note: Applicants must be based in the UK. Sponsorship is not available for this position.
Jun 13, 2026
Full time
Principal AI Scientist - Learning & Assessment AI Location: UK Remote (Candidates must be UK based) Salary: 110,000 - 125,000 Employment Type: Permanent The Opportunity We're working with an innovative technology-led organisation that is transforming how AI is used within learning, assessment, and workforce skills development. They are seeking a Principal AI Scientist to lead the scientific design, validation, and evolution of next-generation AI-powered assessment and learning solutions embedded directly into the flow of work. This is a senior individual contributor role suited to someone with deep expertise across AI/ML, psychometrics, measurement science, and production-scale intelligent systems. The successful candidate will operate as a scientific authority within the organisation, shaping methodology, influencing product direction, and ensuring AI-driven solutions are fair, explainable, scalable, and scientifically rigorous. The role offers the opportunity to work at the intersection of modern AI systems, applied research, and enterprise-scale product delivery. The Role As Principal AI Scientist, you will take ownership of the scientific and methodological direction of AI-enabled learning and assessment products. You will work closely with product leadership, engineering teams, data scientists, and domain experts to translate advanced research into production-ready systems that deliver measurable user and business outcomes. This position requires someone comfortable operating in highly complex environments with significant technical, ethical, and commercial considerations. Key Responsibilities Scientific Leadership & Product Ownership Lead the scientific strategy for AI-enabled assessment, learning, and skills products Define robust methodologies balancing innovation, scalability, fairness, validity, and explainability Act as the senior scientific authority for assessment and measurement decisions Establish scientific standards, reusable frameworks, and evaluation methodologies Lead validation studies to ensure reliability, consistency, fairness, and performance stability Define and monitor scientific KPIs including drift detection, bias indicators, and model effectiveness Identify and mitigate scientific and measurement risks associated with AI systems at scale AI, Machine Learning & Modern AI Systems Apply AI and machine learning techniques, including LLMs and foundation models, to learning and assessment use cases Support development of AI-powered capabilities such as: Skills inference Adaptive assessment Automated content generation AI-driven feedback and reasoning systems Contribute to the evaluation and governance of agentic AI workflows Partner with engineering teams to ensure scientific integrity is maintained throughout implementation and deployment Support lifecycle monitoring and continuous improvement of production AI systems Research, Innovation & Strategic Influence Translate research findings into scalable, commercially viable product capabilities Produce thought leadership content including whitepapers and scientific insights Influence product and AI strategy through scientific expertise and evidence-based recommendations Support internal and external discussions around responsible AI and ethical AI implementation Engage with enterprise stakeholders and senior leadership on scientific and AI-related topics Required Experience Advanced degree (MSc or PhD preferred) in: Psychometrics Educational Measurement Statistics Machine Learning Artificial Intelligence Data Science Or equivalent commercial experience Proven experience building or leading AI-enabled assessment or measurement systems Deep expertise in validation methodologies, statistical modelling, and measurement theory Strong applied experience with machine learning and AI systems in production environments Practical understanding of modern AI architectures including Large Language Models (LLMs) Experience collaborating closely with engineering and product teams Ability to influence technical and strategic decisions through expertise rather than direct authority Experience operating in complex, high-ambiguity environments with significant business or ethical risk considerations Desirable Experience Experience applying LLMs within learning, workforce skills, or assessment products Exposure to adaptive testing, continuous assessment, or automated item/content generation Experience evaluating or governing AI agentic workflows Background within learning technology, education technology, workforce development, or skills ecosystems Experience working on enterprise-scale or long-lived AI platforms What They're Looking For A scientifically rigorous thinker with strong commercial awareness Someone passionate about responsible and explainable AI Comfortable balancing research innovation with practical delivery Strong communicator able to work across technical and non-technical audiences A collaborative leader who enjoys solving complex real-world problems Package 110,000 - 125,000 salary Fully remote role within the UK High-impact position within a cutting-edge AI environment Opportunity to influence next-generation AI products at scale Please note: Applicants must be based in the UK. Sponsorship is not available for this position.
Opus Recruitment Solutions
Newcastle Upon Tyne, Tyne And Wear
Python Software Developer (SC Cleared) Location: Manchester, Leeds, Newcastle, Birmingham, London Contract :6 Months Security Requirement Active SC Clearance required Overview We are seeking experienced Python Software Developers to support the delivery of large-scale analytics and data-driven solutions within a secure enterprise environment. The successful candidates will work on cloud-based platforms, data processing pipelines, and secure integrations while collaborating with cross-functional engineering and platform teams. This role is ideal for professionals with strong Python development expertise, cloud engineering experience, and exposure to modern DevOps and data engineering practices. Must Have: AWS services; Terraform; Apache Spark; Python; Apache Airflow; Docker; GitLab; Security scanning agent; Jupyter; Notebooks; Key Responsibilities Design, develop, and maintain scalable Python applications and services Build and optimize cloud-native data processing pipelines Develop and manage workflows using orchestration tools such as Airflow Work with large-scale data processing frameworks including Apache Spark Deploy and maintain containerized applications using Docker Implement infrastructure automation using Terraform Integrate solutions with enterprise data and secure file transfer systems Collaborate with DevOps, security, and infrastructure teams to ensure secure and reliable deployments Contribute to CI/CD pipelines and source control management using GitLab Support vulnerability management and security scanning processes Create technical documentation and provide knowledge-sharing support where required Participate in Agile ceremonies and collaborative engineering activities Required Skills & Experience Strong hands-on experience with Python development Experience working with AWS cloud services Proven experience with Terraform and Infrastructure as Code (IaC) Strong knowledge of Apache Spark Experience with Apache Airflow or similar orchestration tools Hands-on experience with Docker and containerized environments Experience using GitLab for version control and CI/CD pipelines Understanding of security scanning and vulnerability management tools such as Trivy, Trend Micro, Wiz, or similar Experience working with Jupyter Notebooks Familiarity with secure enterprise integrations and data transfer solutions Strong problem-solving and debugging skills Excellent communication and stakeholder collaboration skills Preferred Experience Experience working within secure or regulated environments Exposure to large-scale analytics or data platform projects Previous experience in public sector or enterprise-scale environments Understanding of cloud security best practices Working Arrangement Hybrid working model Approximately 60% onsite presence required in Newcastle Remaining days remote, depending on project requirements Clearance Requirement Candidates must hold active SC Clearance or be eligible to obtain clearance.
Jun 13, 2026
Contractor
Python Software Developer (SC Cleared) Location: Manchester, Leeds, Newcastle, Birmingham, London Contract :6 Months Security Requirement Active SC Clearance required Overview We are seeking experienced Python Software Developers to support the delivery of large-scale analytics and data-driven solutions within a secure enterprise environment. The successful candidates will work on cloud-based platforms, data processing pipelines, and secure integrations while collaborating with cross-functional engineering and platform teams. This role is ideal for professionals with strong Python development expertise, cloud engineering experience, and exposure to modern DevOps and data engineering practices. Must Have: AWS services; Terraform; Apache Spark; Python; Apache Airflow; Docker; GitLab; Security scanning agent; Jupyter; Notebooks; Key Responsibilities Design, develop, and maintain scalable Python applications and services Build and optimize cloud-native data processing pipelines Develop and manage workflows using orchestration tools such as Airflow Work with large-scale data processing frameworks including Apache Spark Deploy and maintain containerized applications using Docker Implement infrastructure automation using Terraform Integrate solutions with enterprise data and secure file transfer systems Collaborate with DevOps, security, and infrastructure teams to ensure secure and reliable deployments Contribute to CI/CD pipelines and source control management using GitLab Support vulnerability management and security scanning processes Create technical documentation and provide knowledge-sharing support where required Participate in Agile ceremonies and collaborative engineering activities Required Skills & Experience Strong hands-on experience with Python development Experience working with AWS cloud services Proven experience with Terraform and Infrastructure as Code (IaC) Strong knowledge of Apache Spark Experience with Apache Airflow or similar orchestration tools Hands-on experience with Docker and containerized environments Experience using GitLab for version control and CI/CD pipelines Understanding of security scanning and vulnerability management tools such as Trivy, Trend Micro, Wiz, or similar Experience working with Jupyter Notebooks Familiarity with secure enterprise integrations and data transfer solutions Strong problem-solving and debugging skills Excellent communication and stakeholder collaboration skills Preferred Experience Experience working within secure or regulated environments Exposure to large-scale analytics or data platform projects Previous experience in public sector or enterprise-scale environments Understanding of cloud security best practices Working Arrangement Hybrid working model Approximately 60% onsite presence required in Newcastle Remaining days remote, depending on project requirements Clearance Requirement Candidates must hold active SC Clearance or be eligible to obtain clearance.
Applied AI Software Engineer - LangChain, LangGraph, RAG, Knowledge Graphs A high-growth, technology-led scale-up (backed by a global leading organisation) is expanding its engineering capability following a highly successful 2025. As part of significant continued investment, they are hiring a Software Engineer to lead the design and development of next-generation AI products and services across Finance, supporting both internal operations and external platforms. This is an opportunity to work in a modern, cloud-native engineering environment, building intelligent agentic AI systems that can reason, plan and act autonomously. You will take ownership of solutions end-to-end; from design and architecture, through development and deployment, to optimisation and continuous improvement. You'll work closely with engineering, product and platform teams to embed Agentic AI and LLM-driven workflows into real-world products, contributing to architectural decisions, engineering standards and best practices. Location: Remote with twice a month travel to Leeds / Bradford Salary: £90,000 to £110,000 + 15% Bonus + Excellent Benefits To be considered Strong experience as an AI Engineer / ML Engineer / Software Engineer with applied AI exposure. Hands-on Python development experience delivering production-grade systems. Practical experience building agentic AI workflows (LangGraph / LangChain or similar frameworks). Exposure to Knowledge Graphs (Neo4j / RDF / graph-based enrichment or retrieval). Experience integrating LLM APIs (OpenAI or similar), with prompt design and orchestration. This is an excellent opportunity for a senior developer to build impactful Agentic AI systems, influence technical direction, and work within an organisation that is actively investing in AI as a core capability.
Jun 13, 2026
Full time
Applied AI Software Engineer - LangChain, LangGraph, RAG, Knowledge Graphs A high-growth, technology-led scale-up (backed by a global leading organisation) is expanding its engineering capability following a highly successful 2025. As part of significant continued investment, they are hiring a Software Engineer to lead the design and development of next-generation AI products and services across Finance, supporting both internal operations and external platforms. This is an opportunity to work in a modern, cloud-native engineering environment, building intelligent agentic AI systems that can reason, plan and act autonomously. You will take ownership of solutions end-to-end; from design and architecture, through development and deployment, to optimisation and continuous improvement. You'll work closely with engineering, product and platform teams to embed Agentic AI and LLM-driven workflows into real-world products, contributing to architectural decisions, engineering standards and best practices. Location: Remote with twice a month travel to Leeds / Bradford Salary: £90,000 to £110,000 + 15% Bonus + Excellent Benefits To be considered Strong experience as an AI Engineer / ML Engineer / Software Engineer with applied AI exposure. Hands-on Python development experience delivering production-grade systems. Practical experience building agentic AI workflows (LangGraph / LangChain or similar frameworks). Exposure to Knowledge Graphs (Neo4j / RDF / graph-based enrichment or retrieval). Experience integrating LLM APIs (OpenAI or similar), with prompt design and orchestration. This is an excellent opportunity for a senior developer to build impactful Agentic AI systems, influence technical direction, and work within an organisation that is actively investing in AI as a core capability.
Technical Lead AI Inside IR35 3-days per week in Sheffield, 2-days remote We are seeking an experienced Technical Lead AI to join a leading financial services client, helping drive the evolution of modern software engineering through applied AI and intelligent automation. This role sits within a fraud protection environment, focused on building AI agents to detect financial crime events and improve software delivery efficiency across engineering teams. The successful candidate will combine strong full-stack engineering expertise with hands-on experience deploying and integrating large language models and agentic AI workflows into production environments. Key responsibilities: Designing and building AI agents for fraud detection and production engineering services Embedding AI capabilities across the software development lifecycle, from code creation through to delivery Improving engineering efficiency through AI-driven code validation, reviews, and automation Acting as a technical lead, mentoring and upskilling engineering teams while remaining hands-on Building scalable, production-grade software and AI-enabled platforms Requirements: Strong full-stack engineering background with Java, Spring Boot, and React Hands-on experience with LLMs and AI tooling such as Co-Pilot, Claude, OpenCode, or Mistral Experience building agentic AI workflows in enterprise environments Kubernetes and event-driven architecture experience, including Kafka and Google Pub/Sub Public cloud agnostic engineering experience Strong stakeholder engagement and technical leadership capability Additional information available on successful application.
Jun 13, 2026
Contractor
Technical Lead AI Inside IR35 3-days per week in Sheffield, 2-days remote We are seeking an experienced Technical Lead AI to join a leading financial services client, helping drive the evolution of modern software engineering through applied AI and intelligent automation. This role sits within a fraud protection environment, focused on building AI agents to detect financial crime events and improve software delivery efficiency across engineering teams. The successful candidate will combine strong full-stack engineering expertise with hands-on experience deploying and integrating large language models and agentic AI workflows into production environments. Key responsibilities: Designing and building AI agents for fraud detection and production engineering services Embedding AI capabilities across the software development lifecycle, from code creation through to delivery Improving engineering efficiency through AI-driven code validation, reviews, and automation Acting as a technical lead, mentoring and upskilling engineering teams while remaining hands-on Building scalable, production-grade software and AI-enabled platforms Requirements: Strong full-stack engineering background with Java, Spring Boot, and React Hands-on experience with LLMs and AI tooling such as Co-Pilot, Claude, OpenCode, or Mistral Experience building agentic AI workflows in enterprise environments Kubernetes and event-driven architecture experience, including Kafka and Google Pub/Sub Public cloud agnostic engineering experience Strong stakeholder engagement and technical leadership capability Additional information available on successful application.
Principal Software Engineer We are looking for a highly experienced Principal Software Engineer with strong backend engineering expertise and a passion for scalable distributed systems. You will play a key role in shaping architecture, engineering standards, and technical direction across the platform. Join a fast-growing Banking SaaS provider building next generation core banking technology. We are looking for Principal Software Engineers with experience in Node.js / TypeScript / JavaScript, .NET / C#, or Java. You will work directly on customer problems, understand the business context and own solutions end-to-end. From concept and design through to development, release, monitoring and operational support. You will join a team building a modern, scalable core banking platform. This requires intellectual curiosity, discipline, and deep architectural thinking to build technology capable of evolving alongside regulatory and technological change. Location: Remote-first but UK-based for essential company events. Travel to London will be required on a quarterly basis for team meetings, with 2 companywide annual meetings offsite. Salary : £100,000 To £120,000 (Based on Experience) plus Benefits including 25 days holiday + bank holidays, Family Health Insurance, Life Insurance, Regular social events What You ll Work On The environment is primarily Node.js and Go but strong engineers from .NET/C# or Java backgrounds are encouraged to apply. Integrating with payment platforms, banking infrastructure, FX/crypto providers, and card processors Driving architectural decisions across distributed systems and cloud infrastructure Leading technical design reviews and influencing engineering best practices Mentoring engineers and helping scale a high-performing engineering culture Designing and optimising SQL and NoSQL data models Developing APIs, asynchronous workflows, and event-streaming pipelines Deploying secure, high availability services across AWS, GCP, and Azure How Engineering Works We heavily utilise agentic coding and AI-assisted development workflows, including Claude Code, to accelerate engineering productivity Principal Engineers play a key role in technical strategy, architecture governance and engineering direction Engineers focus on solving complex technical and domain challenges rather than repetitive boilerplate development Collaborative engineering culture with involvement in architecture, design discussions, and domain modelling End-to-end ownership of features from development and testing through to deployment, monitoring, and production support Experience Required Degree educated Development experience in either Node.js with JavaScript & Typescript, .NET, C# or Java AWS experience preferred (Azure, GCP also welcomed) Strong understanding of relational databases, ideally MySQL Interest in agentic engineering workflows and AI-assisted development Experience designing APIs and distributed systems Proven experience designing and scaling complex distributed systems Strong architectural leadership experience Experience mentoring or leading senior engineers/teams Ability to influence technical direction across multiple workstreams Experience operating within high-scale or regulated environments Nice to have: Expertise in AWS Lambda, Fargate, SQS/SNS, DynamoDB and cloud native architectures Client-facing experience Ideally experience within Fintech, Banking or enterprise SaaS Why Join Opportunity to shape the architecture of a next-generation banking platform High level of technical autonomy and influence Ability to help define engineering practices in an AI-assisted development environment Enjoy the freedom of remote-first work with regular in-person meetings. High trust, low bureaucracy and a culture of respect & accountability. Competitive salary, benefits, and a company that celebrates your success. Perks 25 days holiday + bank holidays; Family Health Insurance, Life Cover, EMI Share Options (you will share in their success), Remote working environment (quarterly meetings in London). Zorba Consulting is operating as an employment agency for permanent recruitment and employment business for supplying temporary workers
Jun 12, 2026
Full time
Principal Software Engineer We are looking for a highly experienced Principal Software Engineer with strong backend engineering expertise and a passion for scalable distributed systems. You will play a key role in shaping architecture, engineering standards, and technical direction across the platform. Join a fast-growing Banking SaaS provider building next generation core banking technology. We are looking for Principal Software Engineers with experience in Node.js / TypeScript / JavaScript, .NET / C#, or Java. You will work directly on customer problems, understand the business context and own solutions end-to-end. From concept and design through to development, release, monitoring and operational support. You will join a team building a modern, scalable core banking platform. This requires intellectual curiosity, discipline, and deep architectural thinking to build technology capable of evolving alongside regulatory and technological change. Location: Remote-first but UK-based for essential company events. Travel to London will be required on a quarterly basis for team meetings, with 2 companywide annual meetings offsite. Salary : £100,000 To £120,000 (Based on Experience) plus Benefits including 25 days holiday + bank holidays, Family Health Insurance, Life Insurance, Regular social events What You ll Work On The environment is primarily Node.js and Go but strong engineers from .NET/C# or Java backgrounds are encouraged to apply. Integrating with payment platforms, banking infrastructure, FX/crypto providers, and card processors Driving architectural decisions across distributed systems and cloud infrastructure Leading technical design reviews and influencing engineering best practices Mentoring engineers and helping scale a high-performing engineering culture Designing and optimising SQL and NoSQL data models Developing APIs, asynchronous workflows, and event-streaming pipelines Deploying secure, high availability services across AWS, GCP, and Azure How Engineering Works We heavily utilise agentic coding and AI-assisted development workflows, including Claude Code, to accelerate engineering productivity Principal Engineers play a key role in technical strategy, architecture governance and engineering direction Engineers focus on solving complex technical and domain challenges rather than repetitive boilerplate development Collaborative engineering culture with involvement in architecture, design discussions, and domain modelling End-to-end ownership of features from development and testing through to deployment, monitoring, and production support Experience Required Degree educated Development experience in either Node.js with JavaScript & Typescript, .NET, C# or Java AWS experience preferred (Azure, GCP also welcomed) Strong understanding of relational databases, ideally MySQL Interest in agentic engineering workflows and AI-assisted development Experience designing APIs and distributed systems Proven experience designing and scaling complex distributed systems Strong architectural leadership experience Experience mentoring or leading senior engineers/teams Ability to influence technical direction across multiple workstreams Experience operating within high-scale or regulated environments Nice to have: Expertise in AWS Lambda, Fargate, SQS/SNS, DynamoDB and cloud native architectures Client-facing experience Ideally experience within Fintech, Banking or enterprise SaaS Why Join Opportunity to shape the architecture of a next-generation banking platform High level of technical autonomy and influence Ability to help define engineering practices in an AI-assisted development environment Enjoy the freedom of remote-first work with regular in-person meetings. High trust, low bureaucracy and a culture of respect & accountability. Competitive salary, benefits, and a company that celebrates your success. Perks 25 days holiday + bank holidays; Family Health Insurance, Life Cover, EMI Share Options (you will share in their success), Remote working environment (quarterly meetings in London). Zorba Consulting is operating as an employment agency for permanent recruitment and employment business for supplying temporary workers
Software Engineer to oin a fast-growing Banking SaaS provider building next generation core banking technology. We are looking for Software Engineers with experience in Node.js / TypeScript / JavaScript, .NET / C#, or Java. You will work directly on customer problems, understand the business context and own solutions end-to-end. From concept and design through to development, release, monitoring and operational support. You will join a team building a modern core banking platform from scratch. This requires intellectual curiosity, discipline, and deep architectural thinking to build technology capable of evolving alongside regulatory and technological change. Location: Remote-first but UK-based for essential company events. Travel to London will be required on a quarterly basis for team meetings, with 2 companywide annual meetings offsite. Salary : £70,000 To £90,000 (Based on Experience) plus Benefits including 25 days holiday + bank holidays, Family Health Insurance, Life Insurance, Regular social events What You ll Work On The environment is primarily Node.js and Go but strong engineers from .NET/C# or Java backgrounds are encouraged to apply. Integrating with payment platforms, banking infrastructure, FX/crypto providers, and card processors Designing and optimising SQL and NoSQL data models Developing APIs, asynchronous workflows, and event-streaming pipelines Contributing to Vue.js frontend components where needed Deploying secure, high availability services across AWS, GCP, and Azure How Engineering Works We heavily utilise agentic coding and AI-assisted development workflows, including Claude Code, to accelerate engineering productivity Engineers focus on solving complex technical and domain challenges rather than repetitive boilerplate development Collaborative engineering culture with involvement in architecture, design discussions, and domain modelling End-to-end ownership of features from development and testing through to deployment, monitoring, and production support Experience Required Degree educated Development experience in either Node.js with JavaScript & Typescript, .NET, C# or Java AWS experience preferred (Azure, GCP also welcomed) Strong understanding of relational databases, ideally MySQL Interest in agentic engineering workflows and AI-assisted development Experience designing APIs and distributed systems Understanding of observability, resilience, and secure coding practices Comfortable working in regulated or high-integrity environment Nice to have: Expertise in AWS Lambda, Fargate, SQS/SNS, DynamoDB and cloud native architectures Client-facing experience Ideally experience within Fintech, Banking or enterprise SaaS Why Join Work on high-impact systems processing billions in transactions each month while helping shape modern AI-assisted engineering practices Enjoy the freedom of remote-first work with regular in-person meetings. Culture: High trust, low bureaucracy and a culture of respect & accountability. Recognition & Rewards: Competitive salary, benefits, and a company that celebrates your success. Perks 25 days holiday + bank holidays; Family Health Insurance, Life Cover, EMI Share Options (you will share in their success), Remote working environment (quarterly meetings in London). Zorba Consulting is operating as an employment agency for permanent recruitment and employment business for supplying temporary workers
Jun 12, 2026
Full time
Software Engineer to oin a fast-growing Banking SaaS provider building next generation core banking technology. We are looking for Software Engineers with experience in Node.js / TypeScript / JavaScript, .NET / C#, or Java. You will work directly on customer problems, understand the business context and own solutions end-to-end. From concept and design through to development, release, monitoring and operational support. You will join a team building a modern core banking platform from scratch. This requires intellectual curiosity, discipline, and deep architectural thinking to build technology capable of evolving alongside regulatory and technological change. Location: Remote-first but UK-based for essential company events. Travel to London will be required on a quarterly basis for team meetings, with 2 companywide annual meetings offsite. Salary : £70,000 To £90,000 (Based on Experience) plus Benefits including 25 days holiday + bank holidays, Family Health Insurance, Life Insurance, Regular social events What You ll Work On The environment is primarily Node.js and Go but strong engineers from .NET/C# or Java backgrounds are encouraged to apply. Integrating with payment platforms, banking infrastructure, FX/crypto providers, and card processors Designing and optimising SQL and NoSQL data models Developing APIs, asynchronous workflows, and event-streaming pipelines Contributing to Vue.js frontend components where needed Deploying secure, high availability services across AWS, GCP, and Azure How Engineering Works We heavily utilise agentic coding and AI-assisted development workflows, including Claude Code, to accelerate engineering productivity Engineers focus on solving complex technical and domain challenges rather than repetitive boilerplate development Collaborative engineering culture with involvement in architecture, design discussions, and domain modelling End-to-end ownership of features from development and testing through to deployment, monitoring, and production support Experience Required Degree educated Development experience in either Node.js with JavaScript & Typescript, .NET, C# or Java AWS experience preferred (Azure, GCP also welcomed) Strong understanding of relational databases, ideally MySQL Interest in agentic engineering workflows and AI-assisted development Experience designing APIs and distributed systems Understanding of observability, resilience, and secure coding practices Comfortable working in regulated or high-integrity environment Nice to have: Expertise in AWS Lambda, Fargate, SQS/SNS, DynamoDB and cloud native architectures Client-facing experience Ideally experience within Fintech, Banking or enterprise SaaS Why Join Work on high-impact systems processing billions in transactions each month while helping shape modern AI-assisted engineering practices Enjoy the freedom of remote-first work with regular in-person meetings. Culture: High trust, low bureaucracy and a culture of respect & accountability. Recognition & Rewards: Competitive salary, benefits, and a company that celebrates your success. Perks 25 days holiday + bank holidays; Family Health Insurance, Life Cover, EMI Share Options (you will share in their success), Remote working environment (quarterly meetings in London). Zorba Consulting is operating as an employment agency for permanent recruitment and employment business for supplying temporary workers
Adecco is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. Are you passionate about transforming enterprise data into meaningful insights? Do you thrive in innovative environments where you can shape the future of data architecture? If so, our client is looking for you! Join us as a Semantic Graph & Ontology Architect and play a pivotal role in developing a Smart Data Fabric that unifies various data sources like Snowflake, SharePoint, and ERP systems, all while enhancing AI capabilities through a sophisticated semantic, graph-native foundation. Role: Semantic Graph & Ontology Architect Duration: 6 Months (extension options) Location: Fully Remote Rate: Competitive (outside ir35) How You'll Make an Impact: As a hands-on leader, you will: Graph & Semantic Architecture: Design scalable graph schemas (LPG and/or RDF/OWL) to meet semantic and inference requirements. Author and optimise queries using Cypher, Gremlin, and SPARQL for seamless data traversal and reasoning. Define canonical entity models and mapping layers to integrate diverse data sources. Ontology Engineering & Reasoning: Create and maintain formal ontologies and taxonomies while governing their versioning and lifecycle. Implement logical inference for agent decision-making and ensure workflow integrity. Establish standards for semantic consistency and data quality checks. Hybrid Semantic Layer (Graph + Logic): Design a hybrid semantic layer that combines graph context with business logic for enhanced search and knowledge contextualization. Model RACI/RBAC as graph edges/nodes, embedding compliance rules for auditability. APIs, Patterns & Collaboration: Define clean API layers for semantic enrichment and retrieval; deliver reference implementations. Collaborate with platform engineers for agent connectivity and tool discovery patterns. Partner with data, platform, and security teams for governance and observability. Quality, Performance & Governance: Set performance budgets to ensure efficient query execution and prevent issues. Establish lineage and governance artefacts like semantic catalogues and audit trails. Document standards and mentor engineers in adopting graph and semantic patterns. What You Bring: A bachelor's or master's degree in computer science, Data Science, Mathematics, Engineering, or a related field. 7-12 years of experience in graph databases, semantic modelling, and ontology engineering. Expertise in query languages like Cypher, Gremlin, and SPARQL, with a strong understanding of LPG vs RDF/OWL tradeoffs. Hands-on experience with Neo4j, AWS Neptune, TigerGraph, or Stardog in a production environment. Proficiency in mapping enterprise data (Snowflake, MongoDB, SharePoint, ERP) into graph and ontology layers. A solid grasp of RBAC/RACI, data governance, lineage, and security controls. Ability to design clean APIs for semantic enrichment and retrieval. Familiarity with AWS services (IAM, VPC, S3, EKS/ECS/Lambda) in collaboration with platform teams. Preferred Qualifications: Experience with ontology tooling (Prot g , SHACL/SWRL) and reasoning engines. Prior delivery of enterprise knowledge graphs supporting workflows and audit trails. Exposure to vector retrieval and how graph context informs data re-ranking. Knowledge of observability tools like OpenTelemetry, Prometheus, and Grafana. Why Join Us? This is your opportunity to be at the forefront of data innovation in the energy sector! If you are eager to make a significant impact and collaborate with talented professionals, we want to hear from you! Apply now and embark on a journey to redefine how data drives decision-making in our client's organisation. Let's build a smarter future together! How to Apply: If you're excited about this opportunity and believe you're a great fit, please answer screening questions during application and submit your CV. Join our client and help shape the future of data engineering! We can't wait to welcome you aboard! Candidates will ideally show evidence of the above in their CV to be considered. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.
Jun 12, 2026
Contractor
Adecco is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. Are you passionate about transforming enterprise data into meaningful insights? Do you thrive in innovative environments where you can shape the future of data architecture? If so, our client is looking for you! Join us as a Semantic Graph & Ontology Architect and play a pivotal role in developing a Smart Data Fabric that unifies various data sources like Snowflake, SharePoint, and ERP systems, all while enhancing AI capabilities through a sophisticated semantic, graph-native foundation. Role: Semantic Graph & Ontology Architect Duration: 6 Months (extension options) Location: Fully Remote Rate: Competitive (outside ir35) How You'll Make an Impact: As a hands-on leader, you will: Graph & Semantic Architecture: Design scalable graph schemas (LPG and/or RDF/OWL) to meet semantic and inference requirements. Author and optimise queries using Cypher, Gremlin, and SPARQL for seamless data traversal and reasoning. Define canonical entity models and mapping layers to integrate diverse data sources. Ontology Engineering & Reasoning: Create and maintain formal ontologies and taxonomies while governing their versioning and lifecycle. Implement logical inference for agent decision-making and ensure workflow integrity. Establish standards for semantic consistency and data quality checks. Hybrid Semantic Layer (Graph + Logic): Design a hybrid semantic layer that combines graph context with business logic for enhanced search and knowledge contextualization. Model RACI/RBAC as graph edges/nodes, embedding compliance rules for auditability. APIs, Patterns & Collaboration: Define clean API layers for semantic enrichment and retrieval; deliver reference implementations. Collaborate with platform engineers for agent connectivity and tool discovery patterns. Partner with data, platform, and security teams for governance and observability. Quality, Performance & Governance: Set performance budgets to ensure efficient query execution and prevent issues. Establish lineage and governance artefacts like semantic catalogues and audit trails. Document standards and mentor engineers in adopting graph and semantic patterns. What You Bring: A bachelor's or master's degree in computer science, Data Science, Mathematics, Engineering, or a related field. 7-12 years of experience in graph databases, semantic modelling, and ontology engineering. Expertise in query languages like Cypher, Gremlin, and SPARQL, with a strong understanding of LPG vs RDF/OWL tradeoffs. Hands-on experience with Neo4j, AWS Neptune, TigerGraph, or Stardog in a production environment. Proficiency in mapping enterprise data (Snowflake, MongoDB, SharePoint, ERP) into graph and ontology layers. A solid grasp of RBAC/RACI, data governance, lineage, and security controls. Ability to design clean APIs for semantic enrichment and retrieval. Familiarity with AWS services (IAM, VPC, S3, EKS/ECS/Lambda) in collaboration with platform teams. Preferred Qualifications: Experience with ontology tooling (Prot g , SHACL/SWRL) and reasoning engines. Prior delivery of enterprise knowledge graphs supporting workflows and audit trails. Exposure to vector retrieval and how graph context informs data re-ranking. Knowledge of observability tools like OpenTelemetry, Prometheus, and Grafana. Why Join Us? This is your opportunity to be at the forefront of data innovation in the energy sector! If you are eager to make a significant impact and collaborate with talented professionals, we want to hear from you! Apply now and embark on a journey to redefine how data drives decision-making in our client's organisation. Let's build a smarter future together! How to Apply: If you're excited about this opportunity and believe you're a great fit, please answer screening questions during application and submit your CV. Join our client and help shape the future of data engineering! We can't wait to welcome you aboard! Candidates will ideally show evidence of the above in their CV to be considered. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.
Principal Security Engineer Our client, a leading global supplier for IT services, requires Principal Security Engineer to be based at their client's office in London, UK. This is a hybrid role - you can work remotely in the UK and attend the London office 4 days per week . This is a 6+ month temporary contract to start ASAP Day rate: Competitive Market rate Senior hands-on secure engineer responsible for secure-by-design and operational security across the programme. Validate every delivery activity from a cyber security perspective - from threat model at requirements capture, through architecture and design approval, build assurance, security testing, live validation, hyper-care, and operational handover to BAU and external assurance. The principal authority on threat modelling, control validation, and security evidence across the CIS Controls v8.1 IG3 scope. Key Responsibilities Operate as senior cyber architect and SME within the programme's structured operating model - actively engaged from requirements capture through to BAU handover, owning Definition-of-Done evidence at every gate. Break down each Master Programme Plan activity into discrete People/Process/Technology tasks viewed through a cyber security lens - define the validation and assurance criteria, embed them as DoD acceptance criteria, and evidence them before status can advance. Requirements: author threat model v1, control intent statement, and compensating controls; validate requirements against current operational baseline and monitoring posture. Architecture (LEAD): author security architecture, safeguard mapping, and trust boundaries; approve the threat model; chair Security Council review of the architecture pack. Design (LEAD): approve detailed security design, evidence template, and telemetry specification; validate operational controls in the design; confirm evidence-capture feasibility before build commences. Build: run periodic build-vs-design reviews, architecture drift checks, and re-approve changes; configure operational controls, prepare security testing, support agent rollout, validate log feeds. Test (LEAD): sign off that the security architecture is proven by test evidence; revalidate the threat model; lead security testing, penetration testing, control validation, and evidence pack creation. Deploy: provide production architecture sign-off; confirm final control mapping in Continuous Control Monitoring (CCM); run live security validation, monitoring tuning, alert calibration, and IR playbook readiness. Hyper-care (LEAD): address security-architecture defects, approve in-warranty changes; lead control monitoring and tuning; produce security evidence and establish Key Risk Indicator (KRI) baselines. Handover: hand architecture over to the Security Council, lodge the final threat model, ensure the CCM tile goes live; transition operational controls to L1 SOC operations with a complete evidence pack to external assurance. Liaise directly with external assurance providers on threat-model defensibility, control effectiveness, and evidence chain across the CIS Controls v8.1 IG3 scope. Chair or jointly chair the Security Council review at the architecture stage gate; participate in TDA decisions at the design stage gate. People: Led security engineering across the programme; senior peer to Security Solution Architects, Cyber Operations, and the MSSP L1 SOC interface. Process: Embedded structured operating-model discipline into every security validation and assurance step; Definition-of-Done evidence at every gate, no exceptions. Technology: Delivered secure-by-design as bui personally signed off every architecture and operational handover, with an audit-traceable evidence chain from threat model to live monitoring Key Requirements Essential Skills: 12+ years cyber engineering and security architecture experience at enterprise scale. 5+ years hands-on security design AND validation - comfortable both as architect (design authority) and as engineer (hands-on implementer). Direct experience with CIS Controls v8.1, NIST CSF, ISO 27001/27002 control frameworks. Threat modelling at scale - proven authorship using STRIDE, MITRE ATT&CK, OWASP - across multiple in-scope controls. Hands-on penetration testing, security testing, and control validation track record. Workflow discipline - operates comfortably within Definition-of-Done, evidence-at-gate frameworks. Exceptional executive-level interactions, presentation, and engagement - proven ability to influence CISO, Security Council, External Assurance, and cross-functional senior stakeholders across Procurement, Architecture, and Technology heads. Retail or large dispersed-estate enterprise experience strongly preferred. CISSP (Certified Information Systems Security Professional) One of: CISM, CISA, CCSP, SABSA Practitioner, or CRISC One penetration-testing certification: OSCP, GIAC GPEN, or CEH (or equivalent demonstrable experience) Tooling & Methodology Proficiency: Hands-on with leading enterprise PM tools - Jira, Azure DevOps, MS Project, or equivalent - and willing to adopt (the programme's tool) on the job at senior architect and SME level. End-to-end Agile delivery - Scrum/Kanban - combined with DevSecOps deep hands-on practice (security gates Embedded in CI/CD). SAFe PI Planning participation as the cyber security representative. Executive-grade MS PowerPoint - Security Council paper authoring, threat-model presentation, design narrative for Programme Board. Advanced dashboards and modelling - one or more of Advanced MS Excel, PowerBI, Python, or Copilot - for KRI baselines, control-effectiveness analytics, and risk reporting. Budgeting awareness - security control cost shaping and total-cost-of-ownership analysis . Desirable Skills: Direct hands-on experience at senior architect/SME level. Practical DevSecOps Foundation or SANS GIAC GCSA. SABSA for Architects. Microsoft Threat Modeling Tool/OWASP Threat Dragon authorship. PowerBI Data Analyst (PL-300) for KRI and risk dashboards. CompTIA CASP+ or PenTest+ GIAC GCIH, GCFA, GCIA, or GREM AWS Security Specialty or Azure Security Engineer/Security Architect Expert BMC Helix Certified Professional (SecOps) ISO 27001 Lead Auditor or Lead Implementer TOGAF 9.2 awareness Due to the volume of applications received, unfortunately we cannot respond to everyone. If you do not hear back from us within 7 days of sending your application, please assume that you have not been successful on this occasion.
Jun 12, 2026
Contractor
Principal Security Engineer Our client, a leading global supplier for IT services, requires Principal Security Engineer to be based at their client's office in London, UK. This is a hybrid role - you can work remotely in the UK and attend the London office 4 days per week . This is a 6+ month temporary contract to start ASAP Day rate: Competitive Market rate Senior hands-on secure engineer responsible for secure-by-design and operational security across the programme. Validate every delivery activity from a cyber security perspective - from threat model at requirements capture, through architecture and design approval, build assurance, security testing, live validation, hyper-care, and operational handover to BAU and external assurance. The principal authority on threat modelling, control validation, and security evidence across the CIS Controls v8.1 IG3 scope. Key Responsibilities Operate as senior cyber architect and SME within the programme's structured operating model - actively engaged from requirements capture through to BAU handover, owning Definition-of-Done evidence at every gate. Break down each Master Programme Plan activity into discrete People/Process/Technology tasks viewed through a cyber security lens - define the validation and assurance criteria, embed them as DoD acceptance criteria, and evidence them before status can advance. Requirements: author threat model v1, control intent statement, and compensating controls; validate requirements against current operational baseline and monitoring posture. Architecture (LEAD): author security architecture, safeguard mapping, and trust boundaries; approve the threat model; chair Security Council review of the architecture pack. Design (LEAD): approve detailed security design, evidence template, and telemetry specification; validate operational controls in the design; confirm evidence-capture feasibility before build commences. Build: run periodic build-vs-design reviews, architecture drift checks, and re-approve changes; configure operational controls, prepare security testing, support agent rollout, validate log feeds. Test (LEAD): sign off that the security architecture is proven by test evidence; revalidate the threat model; lead security testing, penetration testing, control validation, and evidence pack creation. Deploy: provide production architecture sign-off; confirm final control mapping in Continuous Control Monitoring (CCM); run live security validation, monitoring tuning, alert calibration, and IR playbook readiness. Hyper-care (LEAD): address security-architecture defects, approve in-warranty changes; lead control monitoring and tuning; produce security evidence and establish Key Risk Indicator (KRI) baselines. Handover: hand architecture over to the Security Council, lodge the final threat model, ensure the CCM tile goes live; transition operational controls to L1 SOC operations with a complete evidence pack to external assurance. Liaise directly with external assurance providers on threat-model defensibility, control effectiveness, and evidence chain across the CIS Controls v8.1 IG3 scope. Chair or jointly chair the Security Council review at the architecture stage gate; participate in TDA decisions at the design stage gate. People: Led security engineering across the programme; senior peer to Security Solution Architects, Cyber Operations, and the MSSP L1 SOC interface. Process: Embedded structured operating-model discipline into every security validation and assurance step; Definition-of-Done evidence at every gate, no exceptions. Technology: Delivered secure-by-design as bui personally signed off every architecture and operational handover, with an audit-traceable evidence chain from threat model to live monitoring Key Requirements Essential Skills: 12+ years cyber engineering and security architecture experience at enterprise scale. 5+ years hands-on security design AND validation - comfortable both as architect (design authority) and as engineer (hands-on implementer). Direct experience with CIS Controls v8.1, NIST CSF, ISO 27001/27002 control frameworks. Threat modelling at scale - proven authorship using STRIDE, MITRE ATT&CK, OWASP - across multiple in-scope controls. Hands-on penetration testing, security testing, and control validation track record. Workflow discipline - operates comfortably within Definition-of-Done, evidence-at-gate frameworks. Exceptional executive-level interactions, presentation, and engagement - proven ability to influence CISO, Security Council, External Assurance, and cross-functional senior stakeholders across Procurement, Architecture, and Technology heads. Retail or large dispersed-estate enterprise experience strongly preferred. CISSP (Certified Information Systems Security Professional) One of: CISM, CISA, CCSP, SABSA Practitioner, or CRISC One penetration-testing certification: OSCP, GIAC GPEN, or CEH (or equivalent demonstrable experience) Tooling & Methodology Proficiency: Hands-on with leading enterprise PM tools - Jira, Azure DevOps, MS Project, or equivalent - and willing to adopt (the programme's tool) on the job at senior architect and SME level. End-to-end Agile delivery - Scrum/Kanban - combined with DevSecOps deep hands-on practice (security gates Embedded in CI/CD). SAFe PI Planning participation as the cyber security representative. Executive-grade MS PowerPoint - Security Council paper authoring, threat-model presentation, design narrative for Programme Board. Advanced dashboards and modelling - one or more of Advanced MS Excel, PowerBI, Python, or Copilot - for KRI baselines, control-effectiveness analytics, and risk reporting. Budgeting awareness - security control cost shaping and total-cost-of-ownership analysis . Desirable Skills: Direct hands-on experience at senior architect/SME level. Practical DevSecOps Foundation or SANS GIAC GCSA. SABSA for Architects. Microsoft Threat Modeling Tool/OWASP Threat Dragon authorship. PowerBI Data Analyst (PL-300) for KRI and risk dashboards. CompTIA CASP+ or PenTest+ GIAC GCIH, GCFA, GCIA, or GREM AWS Security Specialty or Azure Security Engineer/Security Architect Expert BMC Helix Certified Professional (SecOps) ISO 27001 Lead Auditor or Lead Implementer TOGAF 9.2 awareness Due to the volume of applications received, unfortunately we cannot respond to everyone. If you do not hear back from us within 7 days of sending your application, please assume that you have not been successful on this occasion.
Adecco is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. Are you passionate about transforming enterprise data into meaningful insights? Do you thrive in innovative environments where you can shape the future of data architecture? If so, our client is looking for you! Join us as a Semantic Graph & Ontology Architect and play a pivotal role in developing a Smart Data Fabric that unifies various data sources like Snowflake, SharePoint, and ERP systems, all while enhancing AI capabilities through a sophisticated semantic, graph-native foundation. Role: Semantic Graph & Ontology Architect Duration: 6 months (extension options) Location: Fully Remote Rate: £ Competitive (outside ir35) How You'll Make an Impact: As a hands-on leader, you will: Graph & Semantic Architecture: Design scalable graph schemas (LPG and/or RDF/OWL) to meet semantic and inference requirements. Author and optimise queries using Cypher, Gremlin, and SPARQL for seamless data traversal and reasoning. Define canonical entity models and mapping layers to integrate diverse data sources. Ontology Engineering & Reasoning: Create and maintain formal ontologies and taxonomies while governing their versioning and life cycle. Implement logical inference for agent decision-making and ensure workflow integrity. Establish standards for semantic consistency and data quality checks. Hybrid Semantic Layer (Graph + Logic): Design a hybrid semantic layer that combines graph context with business logic for enhanced search and knowledge contextualization. Model RACI/RBAC as graph edges/nodes, embedding compliance rules for auditability. APIs, Patterns & Collaboration: Define clean API layers for semantic enrichment and retrieval; deliver reference implementations. Collaborate with platform engineers for agent connectivity and tool discovery patterns. Partner with data, platform, and security teams for governance and observability. Quality, Performance & Governance: Set performance budgets to ensure efficient query execution and prevent issues. Establish lineage and governance artefacts like semantic catalogues and audit trails. Document standards and mentor engineers in adopting graph and semantic patterns. What You Bring: A bachelor's or master's degree in computer science, Data Science, Mathematics, Engineering, or a related field. 7-12 years of experience in graph databases, semantic modelling, and ontology engineering. Expertise in query languages like Cypher, Gremlin, and SPARQL, with a strong understanding of LPG vs RDF/OWL tradeoffs. Hands-on experience with Neo4j, AWS Neptune, TigerGraph, or Stardog in a production environment. Proficiency in mapping enterprise data (Snowflake, MongoDB, SharePoint, ERP) into graph and ontology layers. A solid grasp of RBAC/RACI, data governance, lineage, and security controls. Ability to design clean APIs for semantic enrichment and retrieval. Familiarity with AWS services (IAM, VPC, S3, EKS/ECS/Lambda) in collaboration with platform teams. Preferred Qualifications: Experience with ontology tooling (Protégé, SHACL/SWRL) and reasoning engines. Prior delivery of enterprise knowledge graphs supporting workflows and audit trails. Exposure to vector retrieval and how graph context informs data re-ranking. Knowledge of observability tools like OpenTelemetry, Prometheus, and Grafana. Why Join Us? This is your opportunity to be at the forefront of data innovation in the energy sector! If you are eager to make a significant impact and collaborate with talented professionals, we want to hear from you! Apply now and embark on a journey to redefine how data drives decision-making in our client's organisation. Let's build a smarter future together! How to Apply: If you're excited about this opportunity and believe you're a great fit, please answer screening questions during application and submit your CV. Join our client and help shape the future of data engineering! We can't wait to welcome you aboard! Candidates will ideally show evidence of the above in their CV to be considered. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.
Jun 12, 2026
Contractor
Adecco is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. Are you passionate about transforming enterprise data into meaningful insights? Do you thrive in innovative environments where you can shape the future of data architecture? If so, our client is looking for you! Join us as a Semantic Graph & Ontology Architect and play a pivotal role in developing a Smart Data Fabric that unifies various data sources like Snowflake, SharePoint, and ERP systems, all while enhancing AI capabilities through a sophisticated semantic, graph-native foundation. Role: Semantic Graph & Ontology Architect Duration: 6 months (extension options) Location: Fully Remote Rate: £ Competitive (outside ir35) How You'll Make an Impact: As a hands-on leader, you will: Graph & Semantic Architecture: Design scalable graph schemas (LPG and/or RDF/OWL) to meet semantic and inference requirements. Author and optimise queries using Cypher, Gremlin, and SPARQL for seamless data traversal and reasoning. Define canonical entity models and mapping layers to integrate diverse data sources. Ontology Engineering & Reasoning: Create and maintain formal ontologies and taxonomies while governing their versioning and life cycle. Implement logical inference for agent decision-making and ensure workflow integrity. Establish standards for semantic consistency and data quality checks. Hybrid Semantic Layer (Graph + Logic): Design a hybrid semantic layer that combines graph context with business logic for enhanced search and knowledge contextualization. Model RACI/RBAC as graph edges/nodes, embedding compliance rules for auditability. APIs, Patterns & Collaboration: Define clean API layers for semantic enrichment and retrieval; deliver reference implementations. Collaborate with platform engineers for agent connectivity and tool discovery patterns. Partner with data, platform, and security teams for governance and observability. Quality, Performance & Governance: Set performance budgets to ensure efficient query execution and prevent issues. Establish lineage and governance artefacts like semantic catalogues and audit trails. Document standards and mentor engineers in adopting graph and semantic patterns. What You Bring: A bachelor's or master's degree in computer science, Data Science, Mathematics, Engineering, or a related field. 7-12 years of experience in graph databases, semantic modelling, and ontology engineering. Expertise in query languages like Cypher, Gremlin, and SPARQL, with a strong understanding of LPG vs RDF/OWL tradeoffs. Hands-on experience with Neo4j, AWS Neptune, TigerGraph, or Stardog in a production environment. Proficiency in mapping enterprise data (Snowflake, MongoDB, SharePoint, ERP) into graph and ontology layers. A solid grasp of RBAC/RACI, data governance, lineage, and security controls. Ability to design clean APIs for semantic enrichment and retrieval. Familiarity with AWS services (IAM, VPC, S3, EKS/ECS/Lambda) in collaboration with platform teams. Preferred Qualifications: Experience with ontology tooling (Protégé, SHACL/SWRL) and reasoning engines. Prior delivery of enterprise knowledge graphs supporting workflows and audit trails. Exposure to vector retrieval and how graph context informs data re-ranking. Knowledge of observability tools like OpenTelemetry, Prometheus, and Grafana. Why Join Us? This is your opportunity to be at the forefront of data innovation in the energy sector! If you are eager to make a significant impact and collaborate with talented professionals, we want to hear from you! Apply now and embark on a journey to redefine how data drives decision-making in our client's organisation. Let's build a smarter future together! How to Apply: If you're excited about this opportunity and believe you're a great fit, please answer screening questions during application and submit your CV. Join our client and help shape the future of data engineering! We can't wait to welcome you aboard! Candidates will ideally show evidence of the above in their CV to be considered. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.
Senior Software Engineer, AI Location: London (Hybrid: 2 days in office, 3 days remote) Position Type: Permanent Are you a seasoned software engineer passionate about pushing the boundaries of what's possible with Generative AI? We are a leading global provider of financial information services, insights, data, and analytics. We are currently seeking a Senior Software Engineer, AI to join our team in London. In this role, you will drive high-impact AI initiatives, design production-ready generative AI platforms, and build scalable, enterprise-grade solutions that shape the future of global markets. What We Offer Transformative AI Impact: Design and deploy production-ready GenAI platforms, multi-agent systems, and intelligent automation that reshape products in real-time. Cutting-Edge Tech Stack: Experiment with the latest LLMs, architect RAG implementations, design sophisticated agentic systems, and develop Model Context Protocol (MCP) servers. Enterprise Scale: Build GenAI solutions across multiple business units while creating unified patterns and reusable component frameworks. Dynamic Culture: Work at the intersection of advanced engineering and product development within a collaborative, innovation-driven environment. We'll Count on You To Lead GenAI Development: Spearhead the creation of enterprise chatbot platforms, evaluation frameworks, agentic workflows, RAG architectures, and MCP implementations. Pioneer Innovation: Act as a hands-on engineer bridging the gap between research breakthroughs and production-ready capabilities to generate tangible business value. Build Robust Infrastructure: Develop enterprise-scale APIs (FastAPI) and architect comprehensive cloud-based AI infrastructure on AWS/Azure optimized for scalability and performance. Demonstrate Full-Stack Excellence: Apply your expertise across the entire technology stack to seamlessly integrate AI capabilities into user-facing products and backend systems. What You Need to Have Experience: 7+ years of professional experience designing, developing, and deploying production-grade applications, with 5+ years specifically in full-stack enterprise software engineering. Core Skills: Advanced Python programming with strong backend development capabilities. AI Expertise: Proven experience developing and deploying intelligent conversational AI systems using RAG architectures, Model Context Protocol (MCP), AI-enabled search, vector databases, and LLM integration. Frameworks: Hands-on experience building GenAI applications using LangChain and LangGraph (agent architecture design, state management, and graph-based workflow orchestration). ML & Cloud Ecosystems: Solid understanding of ML algorithms, FastAPI, PyTorch/TensorFlow, MLflow, MLOps practices, containerization (Docker, Kubernetes/AWS EKS), and cloud services (AWS Bedrock, SageMaker, Azure AI Search). Soft Skills: Excellent communication and collaboration skills, with the ability to translate complex technical concepts for diverse, cross-functional stakeholders. Randstad Technologies Ltd is a leading specialist recruitment business for the IT & Engineering industries. Please note that due to a high level of applications, we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.
Jun 12, 2026
Full time
Senior Software Engineer, AI Location: London (Hybrid: 2 days in office, 3 days remote) Position Type: Permanent Are you a seasoned software engineer passionate about pushing the boundaries of what's possible with Generative AI? We are a leading global provider of financial information services, insights, data, and analytics. We are currently seeking a Senior Software Engineer, AI to join our team in London. In this role, you will drive high-impact AI initiatives, design production-ready generative AI platforms, and build scalable, enterprise-grade solutions that shape the future of global markets. What We Offer Transformative AI Impact: Design and deploy production-ready GenAI platforms, multi-agent systems, and intelligent automation that reshape products in real-time. Cutting-Edge Tech Stack: Experiment with the latest LLMs, architect RAG implementations, design sophisticated agentic systems, and develop Model Context Protocol (MCP) servers. Enterprise Scale: Build GenAI solutions across multiple business units while creating unified patterns and reusable component frameworks. Dynamic Culture: Work at the intersection of advanced engineering and product development within a collaborative, innovation-driven environment. We'll Count on You To Lead GenAI Development: Spearhead the creation of enterprise chatbot platforms, evaluation frameworks, agentic workflows, RAG architectures, and MCP implementations. Pioneer Innovation: Act as a hands-on engineer bridging the gap between research breakthroughs and production-ready capabilities to generate tangible business value. Build Robust Infrastructure: Develop enterprise-scale APIs (FastAPI) and architect comprehensive cloud-based AI infrastructure on AWS/Azure optimized for scalability and performance. Demonstrate Full-Stack Excellence: Apply your expertise across the entire technology stack to seamlessly integrate AI capabilities into user-facing products and backend systems. What You Need to Have Experience: 7+ years of professional experience designing, developing, and deploying production-grade applications, with 5+ years specifically in full-stack enterprise software engineering. Core Skills: Advanced Python programming with strong backend development capabilities. AI Expertise: Proven experience developing and deploying intelligent conversational AI systems using RAG architectures, Model Context Protocol (MCP), AI-enabled search, vector databases, and LLM integration. Frameworks: Hands-on experience building GenAI applications using LangChain and LangGraph (agent architecture design, state management, and graph-based workflow orchestration). ML & Cloud Ecosystems: Solid understanding of ML algorithms, FastAPI, PyTorch/TensorFlow, MLflow, MLOps practices, containerization (Docker, Kubernetes/AWS EKS), and cloud services (AWS Bedrock, SageMaker, Azure AI Search). Soft Skills: Excellent communication and collaboration skills, with the ability to translate complex technical concepts for diverse, cross-functional stakeholders. Randstad Technologies Ltd is a leading specialist recruitment business for the IT & Engineering industries. Please note that due to a high level of applications, we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.
Quantity Surveyor - Construction Projects Two fantastic opportunities are available for an Intermediate and Senior Quantity Surveyor with experience in cost management, project management, employer's agent duties, contract administration and commercial management. If you've also worked in the following roles, we'd also like to hear from you: Cost Consultant, Construction Project Manager, Contract Administrator, Commercial Manager, Cost Manager SALARY: Competitive + Benefits LOCATION: Leeds, West Yorkshire HYBRID WORKING The intermediate-level role requires office attendance in Leeds three days per week. For senior-level appointments, more flexible working arrangements may be considered, depending on experience, project requirements and individual profile. JOB TYPE: Full-Time, Permanent PLEASE NOTE: You will need a Full Driving Licence (Pool cars can be used) JOB OVERVIEW We have a fantastic new job opportunity for a Quantity Surveyor to join a growing and ambitious organisation delivering projects across the construction, residential, commercial and infrastructure sectors. There are two roles available: one intermediate-level position and one senior-level position. As a Quantity Surveyor you will support or lead project finances, contracts, forecasting, cost control, project management and employer's agent responsibilities. Working closely with project managers, clients, contractors and stakeholders, the Quantity Surveyor will help maintain commercial performance, manage risk and support successful project delivery. ABOUT THE COMPANY The company is a medium sized business dealing with all aspects of the property industry, as well as the Healthcare and Retail sectors, across the UK, Australia and the Middle East. The company is not a big corporate business. Their greatest strength is the people who work there which ultimately leads to repeat business and referrals with new clients APPLY TODAY Ready to make your next career move? Apply Now for our Recruitment Team to review. DUTIES Your duties as the Quantity Surveyor include: Managing Project Budgets: Monitoring cost control, forecasting and financial performance across projects Supporting Project Management: Assisting with or leading project delivery, client liaison and stakeholder coordination Undertaking Employer's Agent Duties: Supporting contract administration and acting as a key point of contact across projects Preparing Tender Documentation: Reviewing tender packs, contracts and procurement information Conducting Risk Assessments: Identifying commercial risks and supporting value engineering activities Negotiating Agreements: Liaising with contractors, suppliers and subcontractors to support positive commercial outcomes Overseeing Valuations: Managing variations, interim valuations and final accounts Ensuring Compliance: Maintaining compliance with contractual and legal requirements Mentoring Junior Team Members: Providing guidance and support where appropriate, particularly at senior level CANDIDATE REQUIREMENTS Quantity Surveying Background: Previous experience in quantity surveying, commercial management or construction cost control Project Management Exposure: Experience of project management and/or employer's agent duties would be highly desirable Qualifications: BSc degree in Quantity Surveying, Construction Management or a related discipline preferred Contract Knowledge: Good understanding of JCT contracts and contract administration Technical Skills: Experience using cost management software such as Bluebeam and Microsoft Office applications Commercial Awareness: Strong analytical, negotiation, problem-solving and financial management skills Communication Skills: Able to build positive relationships with clients, contractors, colleagues and stakeholders Working Arrangements: Intermediate candidates must be realistically commutable to Oxford for three office days per week Senior Flexibility: Senior candidates may be considered for more flexible or remote working, depending on experience and profile Professional Development: MRICS qualification preferred or willingness to work towards chartered status BENEFITS Very competitive salary package Flexible hybrid working Clear career progression opportunities Health and wellbeing support Exposure to exciting high-profile projects Supportive and social team culture On-site gym HOW TO APPLY To be considered for this job vacancy, please submit your CV to our Recruitment Team who will review your details. CV's of Job Applicants meeting this requirement will be submitted to our Client for consideration. By submitting your job application to us you are hereby giving us your express consent to submit your details to our Client for this purpose. JOB REF: AWDO-P14708 Full-Time, Permanent Surveying Jobs, Careers and Vacancies. Find a new job and work in Leeds, West Yorkshire. Multi-Job Board Advertising and CV Sourcing Recruitment Services provided by AWD online. AWD online specialise in sourcing candidates and advertising vacancies on multiple job boards for companies on a non-commission basis. AWD online operates as an employment agency. awd online
Jun 11, 2026
Full time
Quantity Surveyor - Construction Projects Two fantastic opportunities are available for an Intermediate and Senior Quantity Surveyor with experience in cost management, project management, employer's agent duties, contract administration and commercial management. If you've also worked in the following roles, we'd also like to hear from you: Cost Consultant, Construction Project Manager, Contract Administrator, Commercial Manager, Cost Manager SALARY: Competitive + Benefits LOCATION: Leeds, West Yorkshire HYBRID WORKING The intermediate-level role requires office attendance in Leeds three days per week. For senior-level appointments, more flexible working arrangements may be considered, depending on experience, project requirements and individual profile. JOB TYPE: Full-Time, Permanent PLEASE NOTE: You will need a Full Driving Licence (Pool cars can be used) JOB OVERVIEW We have a fantastic new job opportunity for a Quantity Surveyor to join a growing and ambitious organisation delivering projects across the construction, residential, commercial and infrastructure sectors. There are two roles available: one intermediate-level position and one senior-level position. As a Quantity Surveyor you will support or lead project finances, contracts, forecasting, cost control, project management and employer's agent responsibilities. Working closely with project managers, clients, contractors and stakeholders, the Quantity Surveyor will help maintain commercial performance, manage risk and support successful project delivery. ABOUT THE COMPANY The company is a medium sized business dealing with all aspects of the property industry, as well as the Healthcare and Retail sectors, across the UK, Australia and the Middle East. The company is not a big corporate business. Their greatest strength is the people who work there which ultimately leads to repeat business and referrals with new clients APPLY TODAY Ready to make your next career move? Apply Now for our Recruitment Team to review. DUTIES Your duties as the Quantity Surveyor include: Managing Project Budgets: Monitoring cost control, forecasting and financial performance across projects Supporting Project Management: Assisting with or leading project delivery, client liaison and stakeholder coordination Undertaking Employer's Agent Duties: Supporting contract administration and acting as a key point of contact across projects Preparing Tender Documentation: Reviewing tender packs, contracts and procurement information Conducting Risk Assessments: Identifying commercial risks and supporting value engineering activities Negotiating Agreements: Liaising with contractors, suppliers and subcontractors to support positive commercial outcomes Overseeing Valuations: Managing variations, interim valuations and final accounts Ensuring Compliance: Maintaining compliance with contractual and legal requirements Mentoring Junior Team Members: Providing guidance and support where appropriate, particularly at senior level CANDIDATE REQUIREMENTS Quantity Surveying Background: Previous experience in quantity surveying, commercial management or construction cost control Project Management Exposure: Experience of project management and/or employer's agent duties would be highly desirable Qualifications: BSc degree in Quantity Surveying, Construction Management or a related discipline preferred Contract Knowledge: Good understanding of JCT contracts and contract administration Technical Skills: Experience using cost management software such as Bluebeam and Microsoft Office applications Commercial Awareness: Strong analytical, negotiation, problem-solving and financial management skills Communication Skills: Able to build positive relationships with clients, contractors, colleagues and stakeholders Working Arrangements: Intermediate candidates must be realistically commutable to Oxford for three office days per week Senior Flexibility: Senior candidates may be considered for more flexible or remote working, depending on experience and profile Professional Development: MRICS qualification preferred or willingness to work towards chartered status BENEFITS Very competitive salary package Flexible hybrid working Clear career progression opportunities Health and wellbeing support Exposure to exciting high-profile projects Supportive and social team culture On-site gym HOW TO APPLY To be considered for this job vacancy, please submit your CV to our Recruitment Team who will review your details. CV's of Job Applicants meeting this requirement will be submitted to our Client for consideration. By submitting your job application to us you are hereby giving us your express consent to submit your details to our Client for this purpose. JOB REF: AWDO-P14708 Full-Time, Permanent Surveying Jobs, Careers and Vacancies. Find a new job and work in Leeds, West Yorkshire. Multi-Job Board Advertising and CV Sourcing Recruitment Services provided by AWD online. AWD online specialise in sourcing candidates and advertising vacancies on multiple job boards for companies on a non-commission basis. AWD online operates as an employment agency. awd online
Staff Engineer / Principal Engineer / Lead Engineer - Full Stack Hybrid working : On-site one day per week (depending on your location) Summary: Lead Forensics is a leading UK based SAAS company with products in the B2B sales and marketing space. We're seeking a Staff level full stack Software Engineer / Software Developer to join our expanding teams that build our customer facing products. You'll be technically leading work; from requirements capture and initial design, through to full implementation, iterating quickly on our modern tech stack ( NodeJS microservices, Vue, Redis, SQL Server and SingleStore ) and deploying code daily to production (in AWS) following the DevSecOps methodology as we respond rapidly to customer requirements. Current and production grade TypeScript fluency (approx. 5+ years experience) is necessary for this particular position. Key Responsibilities : Working with stakeholders on initial solution design, scoping and system design. Spiking areas of uncertainty in designs and building POCs as required. Work with our Product Teams to help break down work into deliverable Epics and Stories. Turning user stories into code running in production as a high performing individual contributor lead developer and embedded architect in an Agentic AI environment. Ensuring the quality, maintainability and operability of code. Supporting the product that the team has built as it runs in production and resolving issues. Responsible for the design, architecture and implementation decisions for the product. What you will bring : Excellent interpersonal and collaboration skills, including competencies to work directly with customers. Experience developing with clean code, SOLID principals and design patterns. Experience across all areas of full stack development, ideally developing large scale SaaS platforms. Experience of working in a mature CI/CD environment, continuously deploying stories every day, following the DevSecOps methodology. A strong general aptitude for programming and problem solving. You'll need to pick up new tools and techniques quickly and use them to solve problems. Our ideal candidate will also be able to show: A forward-thinking approach to accelerating production quality software development using AI (professional or personal). Experience with automated testing and quality assurance. An understanding of how to build systems that perform well at scale. Enthusiasm for building secure systems and implementing security best practices. Enthusiasm for driving high standards in software development and working with like-minded people towards achieving ever higher levels of efficiency and performance. A technical/computer science degree or equivalent professional experience. What we offer in return : An entrepreneurial environment built on ownership, accountability, autonomy and trust Employment with a fast-growing UK SaaS company; with hybrid or remote working. Competitive salary and benefits. Be part of a fantastic company culture; we all display our Company DNA's, foster a "One Team" and 'Growth' mentality. Give back to the wider community with volunteer days, fundraisers and charity.
Jun 11, 2026
Full time
Staff Engineer / Principal Engineer / Lead Engineer - Full Stack Hybrid working : On-site one day per week (depending on your location) Summary: Lead Forensics is a leading UK based SAAS company with products in the B2B sales and marketing space. We're seeking a Staff level full stack Software Engineer / Software Developer to join our expanding teams that build our customer facing products. You'll be technically leading work; from requirements capture and initial design, through to full implementation, iterating quickly on our modern tech stack ( NodeJS microservices, Vue, Redis, SQL Server and SingleStore ) and deploying code daily to production (in AWS) following the DevSecOps methodology as we respond rapidly to customer requirements. Current and production grade TypeScript fluency (approx. 5+ years experience) is necessary for this particular position. Key Responsibilities : Working with stakeholders on initial solution design, scoping and system design. Spiking areas of uncertainty in designs and building POCs as required. Work with our Product Teams to help break down work into deliverable Epics and Stories. Turning user stories into code running in production as a high performing individual contributor lead developer and embedded architect in an Agentic AI environment. Ensuring the quality, maintainability and operability of code. Supporting the product that the team has built as it runs in production and resolving issues. Responsible for the design, architecture and implementation decisions for the product. What you will bring : Excellent interpersonal and collaboration skills, including competencies to work directly with customers. Experience developing with clean code, SOLID principals and design patterns. Experience across all areas of full stack development, ideally developing large scale SaaS platforms. Experience of working in a mature CI/CD environment, continuously deploying stories every day, following the DevSecOps methodology. A strong general aptitude for programming and problem solving. You'll need to pick up new tools and techniques quickly and use them to solve problems. Our ideal candidate will also be able to show: A forward-thinking approach to accelerating production quality software development using AI (professional or personal). Experience with automated testing and quality assurance. An understanding of how to build systems that perform well at scale. Enthusiasm for building secure systems and implementing security best practices. Enthusiasm for driving high standards in software development and working with like-minded people towards achieving ever higher levels of efficiency and performance. A technical/computer science degree or equivalent professional experience. What we offer in return : An entrepreneurial environment built on ownership, accountability, autonomy and trust Employment with a fast-growing UK SaaS company; with hybrid or remote working. Competitive salary and benefits. Be part of a fantastic company culture; we all display our Company DNA's, foster a "One Team" and 'Growth' mentality. Give back to the wider community with volunteer days, fundraisers and charity.
Staff Engineer / Principal Engineer / Lead Engineer - Full Stack UK Remote, moving to Hybrid : On-site one day per week (cadence depending on your location). Other locations / options available. Summary: Lead Forensics is a leading UK based SAAS company with products in the B2B sales and marketing space. We're seeking a Staff level full stack Software Engineer / Software Developer to join our expanding teams that build our customer facing products. You'll be technically leading work; from requirements capture and initial design, through to full implementation, iterating quickly on our modern tech stack ( NodeJS microservices, Vue, Redis, SQL Server and SingleStore ) and deploying code daily to production (in AWS) following the DevSecOps methodology as we respond rapidly to customer requirements. Current and production grade TypeScript fluency (approx. 5+ years experience) is necessary for this particular position. Key Responsibilities : Working with stakeholders on initial solution design, scoping and system design. Spiking areas of uncertainty in designs and building POCs as required. Work with our Product Teams to help break down work into deliverable Epics and Stories. Turning user stories into code running in production as a high performing individual contributor lead developer and embedded architect in an Agentic AI environment. Ensuring the quality, maintainability and operability of code. Supporting the product that the team has built as it runs in production and resolving issues. Responsible for the design, architecture and implementation decisions for the product. What you will bring : Excellent interpersonal and collaboration skills, including competencies to work directly with customers. Experience developing with clean code, SOLID principals and design patterns. Experience across all areas of full stack development, ideally developing large scale SaaS platforms. Experience of working in a mature CI/CD environment, continuously deploying stories every day, following the DevSecOps methodology. A strong general aptitude for programming and problem solving. You'll need to pick up new tools and techniques quickly and use them to solve problems. Our ideal candidate will also be able to show: A forward-thinking approach to accelerating production quality software development using AI (professional or personal). Experience with automated testing and quality assurance. An understanding of how to build systems that perform well at scale. Enthusiasm for building secure systems and implementing security best practices. Enthusiasm for driving high standards in software development and working with like-minded people towards achieving ever higher levels of efficiency and performance. A technical/computer science degree or equivalent professional experience. What we offer in return : An entrepreneurial environment built on ownership, accountability, autonomy and trust Employment with a fast-growing UK SaaS company; initially remote working. Competitive salary and benefits. Be part of a fantastic company culture; we all display our Company DNA's, foster a "One Team" and 'Growth' mentality. Give back to the wider community with volunteer days, fundraisers and charity.
Jun 11, 2026
Full time
Staff Engineer / Principal Engineer / Lead Engineer - Full Stack UK Remote, moving to Hybrid : On-site one day per week (cadence depending on your location). Other locations / options available. Summary: Lead Forensics is a leading UK based SAAS company with products in the B2B sales and marketing space. We're seeking a Staff level full stack Software Engineer / Software Developer to join our expanding teams that build our customer facing products. You'll be technically leading work; from requirements capture and initial design, through to full implementation, iterating quickly on our modern tech stack ( NodeJS microservices, Vue, Redis, SQL Server and SingleStore ) and deploying code daily to production (in AWS) following the DevSecOps methodology as we respond rapidly to customer requirements. Current and production grade TypeScript fluency (approx. 5+ years experience) is necessary for this particular position. Key Responsibilities : Working with stakeholders on initial solution design, scoping and system design. Spiking areas of uncertainty in designs and building POCs as required. Work with our Product Teams to help break down work into deliverable Epics and Stories. Turning user stories into code running in production as a high performing individual contributor lead developer and embedded architect in an Agentic AI environment. Ensuring the quality, maintainability and operability of code. Supporting the product that the team has built as it runs in production and resolving issues. Responsible for the design, architecture and implementation decisions for the product. What you will bring : Excellent interpersonal and collaboration skills, including competencies to work directly with customers. Experience developing with clean code, SOLID principals and design patterns. Experience across all areas of full stack development, ideally developing large scale SaaS platforms. Experience of working in a mature CI/CD environment, continuously deploying stories every day, following the DevSecOps methodology. A strong general aptitude for programming and problem solving. You'll need to pick up new tools and techniques quickly and use them to solve problems. Our ideal candidate will also be able to show: A forward-thinking approach to accelerating production quality software development using AI (professional or personal). Experience with automated testing and quality assurance. An understanding of how to build systems that perform well at scale. Enthusiasm for building secure systems and implementing security best practices. Enthusiasm for driving high standards in software development and working with like-minded people towards achieving ever higher levels of efficiency and performance. A technical/computer science degree or equivalent professional experience. What we offer in return : An entrepreneurial environment built on ownership, accountability, autonomy and trust Employment with a fast-growing UK SaaS company; initially remote working. Competitive salary and benefits. Be part of a fantastic company culture; we all display our Company DNA's, foster a "One Team" and 'Growth' mentality. Give back to the wider community with volunteer days, fundraisers and charity.
Solus Accident Repair Centres
Preston On The Hill, Cheshire
Overview Are you looking for a position where you can make a difference to the customer journey, constantly learn new things and be at the forefront of technology, working as part of the Aviva family? Responsibilities The Role: Vehicle Damage Consultants are pivotal in our customers story, working in partnership with our skilled customer service, total loss and engineering teams to get the best outcome. It is our Solus Repair Consultants that record and estimate all repair information while safeguarding customer satisfaction. Support Solus sites remotely with pre-diagnosis and invoicing Support our customer service agents making technical decisions Day 1 total loss cases Support training and coaching of customer service agents. Provide management cover of department when required Solus, who are owned by Aviva, are one of the UK leaders in vehicle repairs, returning cars to the road in just 11 days on average and a 4.6/5 star customer rating. With an award-winning apprenticeship programme and winners of other recognised industry awards Solus are proud to be shaping the future of vehicle repair. Why Join Solus? We have so much to offer when it comes to being a Solus colleague: Competitive salary based on location, skills, experience, and qualifications. Bonus opportunity tied to your performance and the overall success of Solus. Company pension scheme with employer contributions. 33 days' holiday (including bank holidays), with the option to buy or sell up to 5 days. Save money with up to 40% discount on Aviva products and other retailer discounts. Share in Aviva's success through the Aviva Save As You Earn scheme. Supportive policies including parental and carer's leave. Wellbeing focus with tools like Group Income Protection and 24/7 GP access. At Solus, we value inclusivity and welcome all applicants. If you're excited but don't tick every box, we encourage you to apply-your unique skills might be just what we need. We guarantee an interview for disabled applicants meeting the minimum criteria-just email us after applying to let us know. Ready to join us? Apply online today, and our team will be in touch within 14 days.
Jun 11, 2026
Full time
Overview Are you looking for a position where you can make a difference to the customer journey, constantly learn new things and be at the forefront of technology, working as part of the Aviva family? Responsibilities The Role: Vehicle Damage Consultants are pivotal in our customers story, working in partnership with our skilled customer service, total loss and engineering teams to get the best outcome. It is our Solus Repair Consultants that record and estimate all repair information while safeguarding customer satisfaction. Support Solus sites remotely with pre-diagnosis and invoicing Support our customer service agents making technical decisions Day 1 total loss cases Support training and coaching of customer service agents. Provide management cover of department when required Solus, who are owned by Aviva, are one of the UK leaders in vehicle repairs, returning cars to the road in just 11 days on average and a 4.6/5 star customer rating. With an award-winning apprenticeship programme and winners of other recognised industry awards Solus are proud to be shaping the future of vehicle repair. Why Join Solus? We have so much to offer when it comes to being a Solus colleague: Competitive salary based on location, skills, experience, and qualifications. Bonus opportunity tied to your performance and the overall success of Solus. Company pension scheme with employer contributions. 33 days' holiday (including bank holidays), with the option to buy or sell up to 5 days. Save money with up to 40% discount on Aviva products and other retailer discounts. Share in Aviva's success through the Aviva Save As You Earn scheme. Supportive policies including parental and carer's leave. Wellbeing focus with tools like Group Income Protection and 24/7 GP access. At Solus, we value inclusivity and welcome all applicants. If you're excited but don't tick every box, we encourage you to apply-your unique skills might be just what we need. We guarantee an interview for disabled applicants meeting the minimum criteria-just email us after applying to let us know. Ready to join us? Apply online today, and our team will be in touch within 14 days.
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
Applied AI Architect We're partnering with a global AI leader searching for an Applied AI Architect to join their Centre of Excellence here in the UK. This will be working fully remote with "hands on" & "customer facing" skills a must. You will need an engineering background and be able to work with Claude to engineer, design, support & deliver projects globally (working remotely) in this cutting edge space. As an Applied AI Architect, you embed with enterprise customers and own the technical work across the full customer journey from initial demos, short proof-of-value engagements, and multi-week implementations. The work moves customers from interesting prototypes to production capability. You'll work with customer engineering teams adopting Claude Code and redesigning their SDLC across code review, requirements & testing, documentation, and governance. You will then be co-building agentic applications and modernizing legacy systems on the Claude developer platform, and partnering with business stakeholders to deploy agents into core operations like sales, customer service, and finance. You're the expert in the room on how engineers work with Claude Code, what an agentic application looks like in production, and what has to change in an organization. You will build prototypes, ship code, run workshops, write specs, and make the calls that move customers from demos to deployment. If you're wanting a new & exciting challenge, apply now & let's discuss. Applied AI Architect
Jun 10, 2026
Full time
Applied AI Architect We're partnering with a global AI leader searching for an Applied AI Architect to join their Centre of Excellence here in the UK. This will be working fully remote with "hands on" & "customer facing" skills a must. You will need an engineering background and be able to work with Claude to engineer, design, support & deliver projects globally (working remotely) in this cutting edge space. As an Applied AI Architect, you embed with enterprise customers and own the technical work across the full customer journey from initial demos, short proof-of-value engagements, and multi-week implementations. The work moves customers from interesting prototypes to production capability. You'll work with customer engineering teams adopting Claude Code and redesigning their SDLC across code review, requirements & testing, documentation, and governance. You will then be co-building agentic applications and modernizing legacy systems on the Claude developer platform, and partnering with business stakeholders to deploy agents into core operations like sales, customer service, and finance. You're the expert in the room on how engineers work with Claude Code, what an agentic application looks like in production, and what has to change in an organization. You will build prototypes, ship code, run workshops, write specs, and make the calls that move customers from demos to deployment. If you're wanting a new & exciting challenge, apply now & let's discuss. Applied AI Architect
Enterprise Account Exec Existing and New Business. AI Voice Agent QA platform. UK Remote to suit candidate within 3 hours travel of London for Anchor days £100-£120K + Comm- Double basic OTE Value Added Recruitment are looking for an Enterprise Account Executive with 5+ years of experience to own complex, multi-stakeholder enterprise sales cycles end-to-end at this category leader in AI Voice Agent QA. This is a rare opportunity to be an early GTM hire at a rocket-ship seed-stage startup (10X revenue growth since August) selling a product that enterprises genuinely need. What will you be doing? Own a focused book of named enterprise accounts from account planning and outbound through pilots, procurement, close, and expansion. Run technical discovery and demos with CTOs, VPs of AI, contact centre leaders, CISOs, and engineering teams across 6 15 stakeholder deals. Lead structured pilots with signed mutual action plans, clear success criteria, and measurable exit criteria before they start. Navigate enterprise procurement end-to-end: SOC 2, DPAs, MSAs, redlines, and vendor security reviews. Feed tight feedback loops to product and engineering on objections, competitive context, and pilot learnings. Target markets are major MNCs, Health and Banking/Financial Sectors Key Requirements Proven enterprise closing experience with large ACV deals ($1M+ ACVs preferred), long cycles (6+ months), and multi-stakeholder complexity (8+ stakeholders). High agency you build pipeline, develop champions, and push deals forward without waiting for marketing, BDRs, or playbooks. Is effectively a hybrid BDM/AM role. Comfortable selling to and holding conversations with deeply technical buyers (engineering, AI/ML, security teams). Experience navigating enterprise security and compliance procurement (SOC 2, DPAs, MSAs). Startup experience (Seed Series B) you thrive in ambiguity and can iterate fast. Tech stack at company : Voice AI, LLMs, Telephony / WebRTC, STT / TTS, AI Agent Orchestration, CRM (unspecified), SOC 2, AI QA Platform. Previous experience selling AI Voice systems is essential Direct mentorship from founder, who has previously scaled growth and led AI sales initiatives generating hundreds of millions in annual revenue. If you are excited about AI, love building from the ground up, and want to play a defining role in one of the most exciting categories in technology, we'd love to hear from you.
Jun 10, 2026
Full time
Enterprise Account Exec Existing and New Business. AI Voice Agent QA platform. UK Remote to suit candidate within 3 hours travel of London for Anchor days £100-£120K + Comm- Double basic OTE Value Added Recruitment are looking for an Enterprise Account Executive with 5+ years of experience to own complex, multi-stakeholder enterprise sales cycles end-to-end at this category leader in AI Voice Agent QA. This is a rare opportunity to be an early GTM hire at a rocket-ship seed-stage startup (10X revenue growth since August) selling a product that enterprises genuinely need. What will you be doing? Own a focused book of named enterprise accounts from account planning and outbound through pilots, procurement, close, and expansion. Run technical discovery and demos with CTOs, VPs of AI, contact centre leaders, CISOs, and engineering teams across 6 15 stakeholder deals. Lead structured pilots with signed mutual action plans, clear success criteria, and measurable exit criteria before they start. Navigate enterprise procurement end-to-end: SOC 2, DPAs, MSAs, redlines, and vendor security reviews. Feed tight feedback loops to product and engineering on objections, competitive context, and pilot learnings. Target markets are major MNCs, Health and Banking/Financial Sectors Key Requirements Proven enterprise closing experience with large ACV deals ($1M+ ACVs preferred), long cycles (6+ months), and multi-stakeholder complexity (8+ stakeholders). High agency you build pipeline, develop champions, and push deals forward without waiting for marketing, BDRs, or playbooks. Is effectively a hybrid BDM/AM role. Comfortable selling to and holding conversations with deeply technical buyers (engineering, AI/ML, security teams). Experience navigating enterprise security and compliance procurement (SOC 2, DPAs, MSAs). Startup experience (Seed Series B) you thrive in ambiguity and can iterate fast. Tech stack at company : Voice AI, LLMs, Telephony / WebRTC, STT / TTS, AI Agent Orchestration, CRM (unspecified), SOC 2, AI QA Platform. Previous experience selling AI Voice systems is essential Direct mentorship from founder, who has previously scaled growth and led AI sales initiatives generating hundreds of millions in annual revenue. If you are excited about AI, love building from the ground up, and want to play a defining role in one of the most exciting categories in technology, we'd love to hear from you.
