Grayce specialises in delivering technology-driven change and transformation for some of the UK's most ambitious organisations. For over a decade, we have partnered with FTSE 100 and FTSE 250 companies to deploy high-performing early career talent across engineering, infrastructure, and digital transformation programmes. Our Accelerated Development Programme offers a structured, fast-track route into industry. You will gain hands on experience working with modern technologies, supporting software delivery, infrastructure, and IT operations in real client environments. You will typically work with one client at a time, delivering meaningful outcomes in a professional, client facing environment. Alongside this, you will complete a minimum of six industry recognised accreditations, with clear progression pathways and salary growth as you develop. As an AI Consultant, you'll follow a tailored learning journey designed specifically for your role - equipping you with the technical skills, consultancy mindsets and industry recognised accreditations needed to excel in a rapidly evolving space. Application Requirements: Minimum predicted 2:1 degree. All degree backgrounds are welcome, but you'll need an understanding of programming concepts, such as constructs, semantics and data structures. A strong interest in building a career in AI solution development, working with leading edge tools used across global organisations. Experience with Python is helpful, but skills in other programming languages are equally valued. Curiosity about AI technologies, including LLMs, SLMs and emerging agentic AI tools. Familiarity with prompt engineering, or a willingness to learn. About the Opportunity This is a fantastic opportunity to join one of our clients; a global, Specialist Insurance firm, with headquarters in London and Houston, and with a rapidly growing team in Bridgend, Wales. Working as Grayce Consultants, you will be deployed to our client to join their Product Engineering team, as an AI Analyst. In this exciting entry level position, the successful candidate will help explore how emerging AI technologies can transform end to end business processes, enhance customer and employee experiences, and unlock new ways of working beyond traditional automation. Working closely with senior engineers, solution architects, and stakeholders from across the business, the Graduate AI Analyst will gain exposure to cutting edge AI tools, contribute to real world use cases, and develop the foundations needed for a successful career in enterprise AI solution delivery. What You'll Be Doing Build hands on expertise with Microsoft Copilot Studio 365 and Microsoft Azure Foundry services to support the design, configuration, testing, deployment and maintenance of AI agents and conversational solutions. Work closely with senior engineers and solution architects to learn best practices, delivery approaches and tooling across the AI capability. Contribute to the creation and maintenance of AI assets, including prompts, agent configurations and documentation, aligned with agreed governance and standards. Support and help facilitate workshops, discovery sessions and requirements gathering activities with business and IT stakeholders. Build a working understanding of Large Language Models (LLMs) and Small Language Models (SLMs), including when and how they should be used effectively in an enterprise environment. Participate in prompt engineering, drafting, testing and refining prompts under guidance to ensure solutions are safe, consistent and high quality. Become an active member of agile delivery teams -participating in stand ups, refinement, retrospectives and contributing to sprint goals and deliverables. What Makes a Great Grayce Consultant Curiosity and problem-solving mindset Strong communication and collaboration Adaptability in fast paced environments Interest in technology and continuous learning Why Work for Us Locations Locations are updated regularly based on client demand. This opportunity is based in Bridgend, Wales. Gain hands on experience working full time, on site with leading organisations, supported by structured training and industry aligned development. Delivery Work directly with a client, delivering high quality outcomes in a professional, client facing environment. Receive dedicated coaching and support throughout your placement and development journey. Progression Complete a minimum of six industry recognised accreditations, with clear pathways for career progression and salary growth. Access our Employee Assistance Programme, offering 24/7 confidential support across financial, legal, health, and wellbeing areas. Our salaries are dictated by location and client
29/07/2026
Full time
Grayce specialises in delivering technology-driven change and transformation for some of the UK's most ambitious organisations. For over a decade, we have partnered with FTSE 100 and FTSE 250 companies to deploy high-performing early career talent across engineering, infrastructure, and digital transformation programmes. Our Accelerated Development Programme offers a structured, fast-track route into industry. You will gain hands on experience working with modern technologies, supporting software delivery, infrastructure, and IT operations in real client environments. You will typically work with one client at a time, delivering meaningful outcomes in a professional, client facing environment. Alongside this, you will complete a minimum of six industry recognised accreditations, with clear progression pathways and salary growth as you develop. As an AI Consultant, you'll follow a tailored learning journey designed specifically for your role - equipping you with the technical skills, consultancy mindsets and industry recognised accreditations needed to excel in a rapidly evolving space. Application Requirements: Minimum predicted 2:1 degree. All degree backgrounds are welcome, but you'll need an understanding of programming concepts, such as constructs, semantics and data structures. A strong interest in building a career in AI solution development, working with leading edge tools used across global organisations. Experience with Python is helpful, but skills in other programming languages are equally valued. Curiosity about AI technologies, including LLMs, SLMs and emerging agentic AI tools. Familiarity with prompt engineering, or a willingness to learn. About the Opportunity This is a fantastic opportunity to join one of our clients; a global, Specialist Insurance firm, with headquarters in London and Houston, and with a rapidly growing team in Bridgend, Wales. Working as Grayce Consultants, you will be deployed to our client to join their Product Engineering team, as an AI Analyst. In this exciting entry level position, the successful candidate will help explore how emerging AI technologies can transform end to end business processes, enhance customer and employee experiences, and unlock new ways of working beyond traditional automation. Working closely with senior engineers, solution architects, and stakeholders from across the business, the Graduate AI Analyst will gain exposure to cutting edge AI tools, contribute to real world use cases, and develop the foundations needed for a successful career in enterprise AI solution delivery. What You'll Be Doing Build hands on expertise with Microsoft Copilot Studio 365 and Microsoft Azure Foundry services to support the design, configuration, testing, deployment and maintenance of AI agents and conversational solutions. Work closely with senior engineers and solution architects to learn best practices, delivery approaches and tooling across the AI capability. Contribute to the creation and maintenance of AI assets, including prompts, agent configurations and documentation, aligned with agreed governance and standards. Support and help facilitate workshops, discovery sessions and requirements gathering activities with business and IT stakeholders. Build a working understanding of Large Language Models (LLMs) and Small Language Models (SLMs), including when and how they should be used effectively in an enterprise environment. Participate in prompt engineering, drafting, testing and refining prompts under guidance to ensure solutions are safe, consistent and high quality. Become an active member of agile delivery teams -participating in stand ups, refinement, retrospectives and contributing to sprint goals and deliverables. What Makes a Great Grayce Consultant Curiosity and problem-solving mindset Strong communication and collaboration Adaptability in fast paced environments Interest in technology and continuous learning Why Work for Us Locations Locations are updated regularly based on client demand. This opportunity is based in Bridgend, Wales. Gain hands on experience working full time, on site with leading organisations, supported by structured training and industry aligned development. Delivery Work directly with a client, delivering high quality outcomes in a professional, client facing environment. Receive dedicated coaching and support throughout your placement and development journey. Progression Complete a minimum of six industry recognised accreditations, with clear pathways for career progression and salary growth. Access our Employee Assistance Programme, offering 24/7 confidential support across financial, legal, health, and wellbeing areas. Our salaries are dictated by location and client
About Us the company is an engineering consultancy bridging Quality Engineering, Cloud Platforms and Developer Experience. We help enterprises reliably bring high-impact digital products to market faster, cheaper, and safer, working with technology leaders facing complex business challenges. We take as much pride in our people, culture and work-life balance as we do in making better software. We're not just making better software. We're making the making of software better. Collaborative, entrepreneurial and dedicated to problem solving, we bring the step change our customer need to sustain innovation. Our values challenge us to do the best we can for the company, our customers and most importantly our team. This is an opportunity for you to build the organisation from the ground up, use your voice to drive change and help transform organisations and problem domains. Role Full-stack developers with a strong front-end focus, responsible for building the Superhighway control plane and the golden-path tooling engineers use to ship. This is an AI-enabled role: you'll work agentic-first, using an agentic harness (Claude or similar) to drive implementation, not as an occasional assist. You're as comfortable orchestrating agents to generate, validate, and test code as you are writing it yourself. The role pairs modern front-end development (React) with working knowledge of Python services and APIs. Key Responsibilities Develop and maintain front-end components using React for the control plane and audit/compliance/cost views Build responsive, scalable, high-quality UI features for self-service data exploration and platform interaction Drive implementation through an agentic harness: prompt, steer, and validate agent-generated code rather than hand-cranking it Contribute to backend development (Python/FastAPI) where required Build templated archetypes and golden-path kits that accelerate onboarding and development for other teams Collaborate with UX/UI to ensure accurate implementation of designs Ensure performance, security, and maintainability, with a testing-first mindset Required Experience Strong experience with React and modern JavaScript/TypeScript 6+ months hands-on with agentic editors (Claude, etc.) and a clear understanding of agent risks and mitigation Experience building web applications with API integrations Working knowledge of Python (FastAPI a plus) for backend/API development Familiarity with REST APIs and microservices architecture Strong focus on acceptance testing and architecture testing (unit tests enforcing standards: line limits, design patterns, imports) Experience with version control and CI/CD practices Proactive communicator who unblocks themselves and collaborates across a matrix organisation (no quiet handle-crankers) Desirable Experience Experience integrating AI/ML services (LLM APIs, embeddings, agent frameworks) AWS native development and deployment experience Policy-as-code expertise Snowflake or data-product experience (producing and consuming) Data visualisation libraries (charts, dashboards) Authentication and RBAC implementation Experience building developer platforms, golden paths, or internal tooling At the company, we believe diverse perspectives lead to better outcomes, and inclusion creates the conditions for everyone to thrive. We are proud to have built a family friendly working environment and have many employees who have caring responsibilities alongside work. We welcome applications from people who require flexibility and will be happy to discuss needs on an individual basis. We are committed to fostering a culture where all team members feel respected, supported, and empowered to do their best work. We celebrate individuality and our differences and understand that some differences may mean that you require changes made to the interview process. We are happy to cater to your needs to make the interview accessible, if this is something you require please let us know by emailing us at
27/07/2026
Full time
About Us the company is an engineering consultancy bridging Quality Engineering, Cloud Platforms and Developer Experience. We help enterprises reliably bring high-impact digital products to market faster, cheaper, and safer, working with technology leaders facing complex business challenges. We take as much pride in our people, culture and work-life balance as we do in making better software. We're not just making better software. We're making the making of software better. Collaborative, entrepreneurial and dedicated to problem solving, we bring the step change our customer need to sustain innovation. Our values challenge us to do the best we can for the company, our customers and most importantly our team. This is an opportunity for you to build the organisation from the ground up, use your voice to drive change and help transform organisations and problem domains. Role Full-stack developers with a strong front-end focus, responsible for building the Superhighway control plane and the golden-path tooling engineers use to ship. This is an AI-enabled role: you'll work agentic-first, using an agentic harness (Claude or similar) to drive implementation, not as an occasional assist. You're as comfortable orchestrating agents to generate, validate, and test code as you are writing it yourself. The role pairs modern front-end development (React) with working knowledge of Python services and APIs. Key Responsibilities Develop and maintain front-end components using React for the control plane and audit/compliance/cost views Build responsive, scalable, high-quality UI features for self-service data exploration and platform interaction Drive implementation through an agentic harness: prompt, steer, and validate agent-generated code rather than hand-cranking it Contribute to backend development (Python/FastAPI) where required Build templated archetypes and golden-path kits that accelerate onboarding and development for other teams Collaborate with UX/UI to ensure accurate implementation of designs Ensure performance, security, and maintainability, with a testing-first mindset Required Experience Strong experience with React and modern JavaScript/TypeScript 6+ months hands-on with agentic editors (Claude, etc.) and a clear understanding of agent risks and mitigation Experience building web applications with API integrations Working knowledge of Python (FastAPI a plus) for backend/API development Familiarity with REST APIs and microservices architecture Strong focus on acceptance testing and architecture testing (unit tests enforcing standards: line limits, design patterns, imports) Experience with version control and CI/CD practices Proactive communicator who unblocks themselves and collaborates across a matrix organisation (no quiet handle-crankers) Desirable Experience Experience integrating AI/ML services (LLM APIs, embeddings, agent frameworks) AWS native development and deployment experience Policy-as-code expertise Snowflake or data-product experience (producing and consuming) Data visualisation libraries (charts, dashboards) Authentication and RBAC implementation Experience building developer platforms, golden paths, or internal tooling At the company, we believe diverse perspectives lead to better outcomes, and inclusion creates the conditions for everyone to thrive. We are proud to have built a family friendly working environment and have many employees who have caring responsibilities alongside work. We welcome applications from people who require flexibility and will be happy to discuss needs on an individual basis. We are committed to fostering a culture where all team members feel respected, supported, and empowered to do their best work. We celebrate individuality and our differences and understand that some differences may mean that you require changes made to the interview process. We are happy to cater to your needs to make the interview accessible, if this is something you require please let us know by emailing us at
AI Security Software Engineer (GenAI & LLM Security) Location: London (Hybrid - 1-2 days per week in the office) Salary: Up to 90,000 + Bonus + Excellent Benefits We're partnering with a leading global technology consultancy that's expanding its AI Security and Engineering practice. As organisations rapidly adopt Generative AI, this team is focused on building secure, enterprise-grade AI platforms that protect Large Language Model (LLM) applications from emerging threats. We're looking for an experienced AI Security Software Engineer to design and develop innovative security solutions that safeguard enterprise AI applications. This is an exciting opportunity to work at the intersection of Cyber Security, Software Engineering, and Generative AI , helping shape the future of secure AI adoption across global organisations. The Role As an AI Security Software Engineer, you'll be responsible for designing, developing and enhancing a cutting-edge GenAI security platform that protects enterprise AI and LLM applications against prompt injection attacks, adversarial inputs and other emerging AI security risks. You'll build scalable security capabilities, develop automated testing frameworks, and create robust APIs and services that operate across large enterprise environments. Working alongside engineering, security and operations teams, you'll play a key role in ensuring AI applications are secure, resilient and production-ready. This role offers the opportunity to work on highly innovative AI security challenges while influencing the architecture and design of enterprise-scale software solutions. What You'll Be Doing Design, build and enhance secure platforms that protect Generative AI and LLM applications. Develop automated security testing frameworks to validate AI protection mechanisms. Build secure, scalable APIs and enterprise software solutions. Contribute to the architecture and design of cloud-native, distributed applications. Collaborate with engineering, cyber security and operations teams across global locations. Develop software that performs reliably at enterprise scale. Help define best practices for AI security, secure software development and cloud-native engineering. What We're Looking For You'll have a strong background in software engineering with experience building enterprise applications using Python and/or Go . You'll be comfortable designing secure APIs, developing scalable services, and working across the full software development lifecycle. Experience with container technologies such as Kubernetes or OpenShift is essential, along with modern development tools including Git, Jenkins and CI/CD pipelines. We're particularly interested in engineers with exposure to Generative AI, Large Language Models (LLMs), Prompt Engineering, AI Security, DevSecOps, MLSecOps or adversarial testing . While direct experience securing AI platforms is highly desirable, candidates with strong software engineering and cyber security backgrounds looking to move into AI Security are also encouraged to apply. Key Skills 7+ years' experience in software engineering or security engineering. Strong Python and/or Go development experience. Experience designing secure APIs and enterprise software. Knowledge of cloud-native architectures and distributed systems. Experience with Kubernetes, OpenShift or containerised deployments. Familiarity with CI/CD, DevSecOps and secure software development practices. Experience with Generative AI, LLMs, Prompt Engineering or AI Security is highly desirable. Excellent communication and stakeholder management skills. What's on Offer You'll join one of the world's leading technology consultancies, working on some of the most exciting AI Security projects in the industry. Alongside a salary of up to 90,000 , you'll receive an annual bonus, comprehensive benefits package, structured career development, access to cutting-edge AI technologies, industry certifications, and the opportunity to work alongside some of the brightest engineers in cloud, cyber security and artificial intelligence. If you're passionate about secure software engineering, AI, and solving the next generation of cyber security challenges, we'd love to hear from you.
27/07/2026
Full time
AI Security Software Engineer (GenAI & LLM Security) Location: London (Hybrid - 1-2 days per week in the office) Salary: Up to 90,000 + Bonus + Excellent Benefits We're partnering with a leading global technology consultancy that's expanding its AI Security and Engineering practice. As organisations rapidly adopt Generative AI, this team is focused on building secure, enterprise-grade AI platforms that protect Large Language Model (LLM) applications from emerging threats. We're looking for an experienced AI Security Software Engineer to design and develop innovative security solutions that safeguard enterprise AI applications. This is an exciting opportunity to work at the intersection of Cyber Security, Software Engineering, and Generative AI , helping shape the future of secure AI adoption across global organisations. The Role As an AI Security Software Engineer, you'll be responsible for designing, developing and enhancing a cutting-edge GenAI security platform that protects enterprise AI and LLM applications against prompt injection attacks, adversarial inputs and other emerging AI security risks. You'll build scalable security capabilities, develop automated testing frameworks, and create robust APIs and services that operate across large enterprise environments. Working alongside engineering, security and operations teams, you'll play a key role in ensuring AI applications are secure, resilient and production-ready. This role offers the opportunity to work on highly innovative AI security challenges while influencing the architecture and design of enterprise-scale software solutions. What You'll Be Doing Design, build and enhance secure platforms that protect Generative AI and LLM applications. Develop automated security testing frameworks to validate AI protection mechanisms. Build secure, scalable APIs and enterprise software solutions. Contribute to the architecture and design of cloud-native, distributed applications. Collaborate with engineering, cyber security and operations teams across global locations. Develop software that performs reliably at enterprise scale. Help define best practices for AI security, secure software development and cloud-native engineering. What We're Looking For You'll have a strong background in software engineering with experience building enterprise applications using Python and/or Go . You'll be comfortable designing secure APIs, developing scalable services, and working across the full software development lifecycle. Experience with container technologies such as Kubernetes or OpenShift is essential, along with modern development tools including Git, Jenkins and CI/CD pipelines. We're particularly interested in engineers with exposure to Generative AI, Large Language Models (LLMs), Prompt Engineering, AI Security, DevSecOps, MLSecOps or adversarial testing . While direct experience securing AI platforms is highly desirable, candidates with strong software engineering and cyber security backgrounds looking to move into AI Security are also encouraged to apply. Key Skills 7+ years' experience in software engineering or security engineering. Strong Python and/or Go development experience. Experience designing secure APIs and enterprise software. Knowledge of cloud-native architectures and distributed systems. Experience with Kubernetes, OpenShift or containerised deployments. Familiarity with CI/CD, DevSecOps and secure software development practices. Experience with Generative AI, LLMs, Prompt Engineering or AI Security is highly desirable. Excellent communication and stakeholder management skills. What's on Offer You'll join one of the world's leading technology consultancies, working on some of the most exciting AI Security projects in the industry. Alongside a salary of up to 90,000 , you'll receive an annual bonus, comprehensive benefits package, structured career development, access to cutting-edge AI technologies, industry certifications, and the opportunity to work alongside some of the brightest engineers in cloud, cyber security and artificial intelligence. If you're passionate about secure software engineering, AI, and solving the next generation of cyber security challenges, we'd love to hear from you.
About Us the company is an engineering consultancy bridging Quality Engineering, Cloud Platforms and Developer Experience. We help enterprises reliably bring high-impact digital products to market faster, cheaper, and safer, working with technology leaders facing complex business challenges. We take as much pride in our people, culture and work life balance as we do in making better software. We're not just making better software. We're making the making of software better. Collaborative, entrepreneurial and dedicated to problem solving, we bring the step change our customer need to sustain innovation. Our values challenge us to do the best we can for the company, our customers and most importantly our team. This is an opportunity for you to build the organisation from the ground up, use your voice to drive change and help transform organisations and problem domains. We work in a hybrid way, with two days a week onsite in our Hatton Garden office. Role At the company, we are looking for an SDET Engineer who is passionate about quality and brings hands on experience across API and UI automation. You will work alongside engineering and data teams to build robust test frameworks, integrate them into CI/CD pipelines, and improve automation standards. Key Responsibilities Design, implement, and maintain API and UI automation frameworks using Python or Java/TypeScript. Test and validate RESTful APIs and backend microservices for correctness, reliability, and performance. Build and maintain automated regression suites, including consumer driven contract tests (e.g., Pact). Automate validation for AI driven services, data pipelines, and ETL transformations. Integrate test suites into CI/CD pipelines using Azure DevOps, GitHub Actions, Jenkins, or GitLab CI. Work with data and engineering teams to validate data intensive systems and integration layers. Contribute to framework improvements and support peers in adopting automation best practices. Required Experience Experienced SDET (circa 5+ years) with a strong automation background. Proficiency in Python or Java/TypeScript for test automation. Experience with API testing tools such as PyTest, Requests, RestAssured, or Robot Framework. Familiarity with UI automation using Selenium/WebDriver or equivalent. Exposure to consumer driven contract testing (Pact or similar). Working knowledge of CI/CD pipelines, Git, and containerised environments (Docker). Understanding of test design, debugging, and failure analysis. Some exposure to cloud platforms (AWS, Azure, or GCP). Desirable Experience Experience testing AI services, LLMs, or Agentic AI workflows. Hands on with performance or load testing tools (JMeter, Gatling). Familiarity with Kubernetes, Terraform, or Infrastructure as Code. Exposure to data validation, ETL pipelines, or batch processing systems. At the company, we believe diverse perspectives lead to better outcomes, and inclusion creates the conditions for everyone to thrive. We are proud to have built a family friendly working environment and have many employees who have caring responsibilities alongside work. We welcome applications from people who require flexibility and will be happy to discuss needs on an individual basis. We are committed to fostering a culture where all team members feel respected, supported, and empowered to do their best work. We celebrate individuality and our differences and understand that some differences may mean that you require changes made to the interview process. We are happy to cater to your needs to make the interview accessible, if this is something you require please let us know by emailing us at
27/07/2026
Full time
About Us the company is an engineering consultancy bridging Quality Engineering, Cloud Platforms and Developer Experience. We help enterprises reliably bring high-impact digital products to market faster, cheaper, and safer, working with technology leaders facing complex business challenges. We take as much pride in our people, culture and work life balance as we do in making better software. We're not just making better software. We're making the making of software better. Collaborative, entrepreneurial and dedicated to problem solving, we bring the step change our customer need to sustain innovation. Our values challenge us to do the best we can for the company, our customers and most importantly our team. This is an opportunity for you to build the organisation from the ground up, use your voice to drive change and help transform organisations and problem domains. We work in a hybrid way, with two days a week onsite in our Hatton Garden office. Role At the company, we are looking for an SDET Engineer who is passionate about quality and brings hands on experience across API and UI automation. You will work alongside engineering and data teams to build robust test frameworks, integrate them into CI/CD pipelines, and improve automation standards. Key Responsibilities Design, implement, and maintain API and UI automation frameworks using Python or Java/TypeScript. Test and validate RESTful APIs and backend microservices for correctness, reliability, and performance. Build and maintain automated regression suites, including consumer driven contract tests (e.g., Pact). Automate validation for AI driven services, data pipelines, and ETL transformations. Integrate test suites into CI/CD pipelines using Azure DevOps, GitHub Actions, Jenkins, or GitLab CI. Work with data and engineering teams to validate data intensive systems and integration layers. Contribute to framework improvements and support peers in adopting automation best practices. Required Experience Experienced SDET (circa 5+ years) with a strong automation background. Proficiency in Python or Java/TypeScript for test automation. Experience with API testing tools such as PyTest, Requests, RestAssured, or Robot Framework. Familiarity with UI automation using Selenium/WebDriver or equivalent. Exposure to consumer driven contract testing (Pact or similar). Working knowledge of CI/CD pipelines, Git, and containerised environments (Docker). Understanding of test design, debugging, and failure analysis. Some exposure to cloud platforms (AWS, Azure, or GCP). Desirable Experience Experience testing AI services, LLMs, or Agentic AI workflows. Hands on with performance or load testing tools (JMeter, Gatling). Familiarity with Kubernetes, Terraform, or Infrastructure as Code. Exposure to data validation, ETL pipelines, or batch processing systems. At the company, we believe diverse perspectives lead to better outcomes, and inclusion creates the conditions for everyone to thrive. We are proud to have built a family friendly working environment and have many employees who have caring responsibilities alongside work. We welcome applications from people who require flexibility and will be happy to discuss needs on an individual basis. We are committed to fostering a culture where all team members feel respected, supported, and empowered to do their best work. We celebrate individuality and our differences and understand that some differences may mean that you require changes made to the interview process. We are happy to cater to your needs to make the interview accessible, if this is something you require please let us know by emailing us at
About Us the company is an engineering consultancy bridging Quality Engineering, Cloud Platforms and Developer Experience. We help enterprises reliably bring high-impact digital products to market faster, cheaper, and safer, working with technology leaders facing complex business challenges. We take as much pride in our people, culture and work-life balance as we do in making better software. We are not just making better software. We are making the making of software better. Collaborative, entrepreneurial and dedicated to problem solving, we bring the step change our customer need to sustain innovation. Our values challenge us to do the best we can for the company, our customers and most importantly our team. This is an opportunity for you to build the organisation from the ground up, use your voice to drive change and help transform organisations and problem domains. The Role We are looking for a Platform Engineer to join client facing delivery teams and help design, build, and operate modern developer platforms. You will work across a range of industries and tech stacks, so adaptability matters as much as expertise. On any given engagement you might be building a goldenpath CI/CD pipeline, hardening a Kubernetes cluster, migrating secrets management to Vault, or running a platform engineering workshop with a client's engineering teams. You will be expected to lead technical workstreams, pair with client engineers, and leave behind well documented, production ready infrastructure. Increasingly, our clients are asking us to help them build the foundations for AI, from model serving infrastructure and MLOps pipelines to safely integrating LLM APIs into existing developer workflows. You don't need to be an ML engineer, but you should be curious about this space and comfortable building the platform layer that makes AI workloads production ready. What You'll Do Platform & Infrastructure Design and deliver internal developer platforms (IDPs) that improve developer experience and accelerate software delivery. Build and maintain infrastructure as code using Terraform, Pulumi, or CDK and enforce code review and testing standards. Manage and optimise Kubernetes clusters (EKS, GKE, AKS) including multi tenancy, networking, RBAC, and cost controls. Own CI/CD pipelines end to end: from source control policies through build, test, security scanning, artefact management, and deployment. Implement secrets management and certificate lifecycle automation using HashiCorp Vault or equivalent. Reliability & Security Embed SRE practices: SLOs, error budgets, runbooks, on call design, and blameless post mortems. Integrate security tooling (SAST, DAST, dependency scanning, policy as code) into delivery pipelines. Design and test disaster recovery strategies; automate them where possible. Ensure compliance with client security standards and relevant regulatory frameworks. AI & Emerging Technology Design and operate infrastructure for AI/ML workloads: GPU node pools, model serving runtimes (Triton, vLLM, BentoML), and vector database deployments (pgvector, Weaviate, Qdrant). Build and maintain MLOps pipelines model training, versioning, evaluation, and promotion to production using platforms such as Kubeflow, MLflow, or cloud native equivalents. Integrate LLM APIs and AI agent frameworks into existing developer platforms, including prompt management, observability, cost controls, and rate limit guardrails. Advise clients on AI readiness: data infrastructure, governance, security controls (model access policies, output filtering), and the organisational changes that sit alongside the technical work. Stay current with the fast moving AI tooling landscape and bring relevant ideas back to the team and to clients. Client Engagement Lead technical discovery sessions and platform assessments with client engineering and architecture teams. Translate client requirements into clear technical plans and communicate trade offs to both technical and non technical stakeholders. Coach and upskill client platform and application engineers through pairing, workshops, and code review. Produce high quality documentation, architecture decision records (ADRs), and runbooks that clients can own after the engagement. What We're Looking For Essential Solid hands on experience with at least one major cloud provider (AWS preferred; GCP or Azure accepted). Production experience with Kubernetes and familiarity with the surrounding ecosystem (Helm, ArgoCD / Flux, Karpenter, Cilium, etc.). Strong infrastructure as code skills, Terraform is the baseline; other tools are a bonus. Practical experience designing or operating CI/CD systems (GitHub Actions, GitLab CI, Tekton, or similar). Comfort working in Linux environments and writing automation in Python, Bash, or Go. The ability to explain complex technical concepts clearly to a mixed audience. A consulting mindset: you care about solving the client's actual problem, not just delivering a deliverable. Ideal (not required) Hands on experience with AI/ML infrastructure: GPU scheduling on Kubernetes, model serving runtimes, or MLOps tooling (Kubeflow, MLflow, Ray, etc.). Familiarity with LLM APIs (OpenAI, Anthropic, Bedrock, Vertex AI) and patterns for building reliable, observable AI powered applications. Experience with vector databases or semantic search infrastructure. Experience with event streaming platforms such as Apache Kafka. Familiarity with configuration management tools (Chef, Ansible, or similar). Knowledge of mainframe environments or hybrid cloud patterns. Relevant certifications: CKA/CKAD, AWS Solutions Architect, HashiCorp Vault, etc. Prior consultancy or client facing delivery experience. At the company, we believe diverse perspectives lead to better outcomes, and inclusion creates the conditions for everyone to thrive. We are proud to have built a family friendly working environment and have many employees who have caring responsibilities alongside work. We welcome applications from people who require flexibility and will be happy to discuss needs on an individual basis. We are committed to fostering a culture where all team members feel respected, supported, and empowered to do their best work. We celebrate individuality and our differences and understand that some differences may mean that you require changes made to the interview process. We are happy to cater to your needs to make the interview accessible, if this is something you require please let us know by emailing us at
27/07/2026
Full time
About Us the company is an engineering consultancy bridging Quality Engineering, Cloud Platforms and Developer Experience. We help enterprises reliably bring high-impact digital products to market faster, cheaper, and safer, working with technology leaders facing complex business challenges. We take as much pride in our people, culture and work-life balance as we do in making better software. We are not just making better software. We are making the making of software better. Collaborative, entrepreneurial and dedicated to problem solving, we bring the step change our customer need to sustain innovation. Our values challenge us to do the best we can for the company, our customers and most importantly our team. This is an opportunity for you to build the organisation from the ground up, use your voice to drive change and help transform organisations and problem domains. The Role We are looking for a Platform Engineer to join client facing delivery teams and help design, build, and operate modern developer platforms. You will work across a range of industries and tech stacks, so adaptability matters as much as expertise. On any given engagement you might be building a goldenpath CI/CD pipeline, hardening a Kubernetes cluster, migrating secrets management to Vault, or running a platform engineering workshop with a client's engineering teams. You will be expected to lead technical workstreams, pair with client engineers, and leave behind well documented, production ready infrastructure. Increasingly, our clients are asking us to help them build the foundations for AI, from model serving infrastructure and MLOps pipelines to safely integrating LLM APIs into existing developer workflows. You don't need to be an ML engineer, but you should be curious about this space and comfortable building the platform layer that makes AI workloads production ready. What You'll Do Platform & Infrastructure Design and deliver internal developer platforms (IDPs) that improve developer experience and accelerate software delivery. Build and maintain infrastructure as code using Terraform, Pulumi, or CDK and enforce code review and testing standards. Manage and optimise Kubernetes clusters (EKS, GKE, AKS) including multi tenancy, networking, RBAC, and cost controls. Own CI/CD pipelines end to end: from source control policies through build, test, security scanning, artefact management, and deployment. Implement secrets management and certificate lifecycle automation using HashiCorp Vault or equivalent. Reliability & Security Embed SRE practices: SLOs, error budgets, runbooks, on call design, and blameless post mortems. Integrate security tooling (SAST, DAST, dependency scanning, policy as code) into delivery pipelines. Design and test disaster recovery strategies; automate them where possible. Ensure compliance with client security standards and relevant regulatory frameworks. AI & Emerging Technology Design and operate infrastructure for AI/ML workloads: GPU node pools, model serving runtimes (Triton, vLLM, BentoML), and vector database deployments (pgvector, Weaviate, Qdrant). Build and maintain MLOps pipelines model training, versioning, evaluation, and promotion to production using platforms such as Kubeflow, MLflow, or cloud native equivalents. Integrate LLM APIs and AI agent frameworks into existing developer platforms, including prompt management, observability, cost controls, and rate limit guardrails. Advise clients on AI readiness: data infrastructure, governance, security controls (model access policies, output filtering), and the organisational changes that sit alongside the technical work. Stay current with the fast moving AI tooling landscape and bring relevant ideas back to the team and to clients. Client Engagement Lead technical discovery sessions and platform assessments with client engineering and architecture teams. Translate client requirements into clear technical plans and communicate trade offs to both technical and non technical stakeholders. Coach and upskill client platform and application engineers through pairing, workshops, and code review. Produce high quality documentation, architecture decision records (ADRs), and runbooks that clients can own after the engagement. What We're Looking For Essential Solid hands on experience with at least one major cloud provider (AWS preferred; GCP or Azure accepted). Production experience with Kubernetes and familiarity with the surrounding ecosystem (Helm, ArgoCD / Flux, Karpenter, Cilium, etc.). Strong infrastructure as code skills, Terraform is the baseline; other tools are a bonus. Practical experience designing or operating CI/CD systems (GitHub Actions, GitLab CI, Tekton, or similar). Comfort working in Linux environments and writing automation in Python, Bash, or Go. The ability to explain complex technical concepts clearly to a mixed audience. A consulting mindset: you care about solving the client's actual problem, not just delivering a deliverable. Ideal (not required) Hands on experience with AI/ML infrastructure: GPU scheduling on Kubernetes, model serving runtimes, or MLOps tooling (Kubeflow, MLflow, Ray, etc.). Familiarity with LLM APIs (OpenAI, Anthropic, Bedrock, Vertex AI) and patterns for building reliable, observable AI powered applications. Experience with vector databases or semantic search infrastructure. Experience with event streaming platforms such as Apache Kafka. Familiarity with configuration management tools (Chef, Ansible, or similar). Knowledge of mainframe environments or hybrid cloud patterns. Relevant certifications: CKA/CKAD, AWS Solutions Architect, HashiCorp Vault, etc. Prior consultancy or client facing delivery experience. At the company, we believe diverse perspectives lead to better outcomes, and inclusion creates the conditions for everyone to thrive. We are proud to have built a family friendly working environment and have many employees who have caring responsibilities alongside work. We welcome applications from people who require flexibility and will be happy to discuss needs on an individual basis. We are committed to fostering a culture where all team members feel respected, supported, and empowered to do their best work. We celebrate individuality and our differences and understand that some differences may mean that you require changes made to the interview process. We are happy to cater to your needs to make the interview accessible, if this is something you require please let us know by emailing us at
JOB ID: FEQ427R333 Location: London, United Kingdom Industry: Retail/CPG (UKI Enterprise) Recruiter: Dina Hussain At the company, our core values are at the heart of everything we do. A culture of proactiveness and a customer centric mindset guides us in creating a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be a vital part of this mission, utilising your technical expertise to demonstrate how our Lakehouse Platform can help customers address their complex data challenges. You'll work with a collaborative, customer focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! Reporting to the Manager, Field Engineering. The impact you will have Engage with some of the company's largest and most complex customers across the UK & Ireland, defining their technical strategies and supporting them in adopting the company to achieve their business objectives. Collaborate with the company leadership, account teams and field engineers to define and execute customer engagement strategies. Demonstrate our Builder Culture to the highest standards, putting our principle of "show, not tell" into practice, supported by the full breadth of the latest in AI tooling and processes, to inspire customers and Bricksters on the art of the possible. Coach junior Solutions Architects and teams on use case prioritisation and building technical champions. You will influence stakeholders at all organisational levels through complex engagements with the broader cloud ecosystem and third party applications, ensuring they are excited by the company vision and solution strategy. Be a 'champion' for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the company Lakehouse platform. Contribute to the company's technical community engagement by developing customer facing collateral and leading workshops, seminars, and meet ups. Opportunity to continue your development in one of four tracks - technical specialisation, industry vertical thought leadership, strategic customer vision, and people management. What we look for We are seeking a highly motivated and technically skilled individual to join our UK&I Enterprise Solutions Architecture team, which focuses on engaging with our largest and most complex customers, supporting them in executing strategic business change. This role offers the opportunity to be based in the London Office, with regular collaboration across the UK&I region and close alignment with our London based team. Core Technical Qualifications Hands on experience in technical pre sales or consultancy, with a strong background in Data Science - traditional Machine Learning, Deep Learning, Artificial Intelligence or Generative AI. Demonstrated ability to architect end to end Data & AI solutions, with specific expertise in modern Generative AI concepts (e.g., fine tuning, RAG, MLOps for LLMs), using either open source and/or ISV tools such as Dataiku, Domino, DataRobot, etc. Hands on experience and enthusiasm for building with AI based development tooling such as Genie Code, Claude Code, Cursor, etc. Strong proficiency in a core programming language (e.g., Python, SQL) and a willingness to learn (or existing knowledge of) Spark. Proficiency with big data analytics technologies and public cloud platforms (AWS, Azure, or GCP). Hands on expertise in designing and delivering complex proofs of concept (PoCs). Pre Sales & Customer Facing Skills Proven ability to engage with customers in a technical sales capacity: challenging assumptions, guiding discussions to clear outcomes, and communicating both technical and business value propositions. Experience in the full pre sales lifecycle, including use case discovery, solution scoping, and delivering complex solution architecture designs to diverse audiences (from engineers to executives). A customer centric mindset with a passion for building client relationships and internal partnerships with account teams. Seniority & Leadership Demonstrated experience in coaching and mentoring junior team members to help them develop their technical and customer facing skills. Logistics Ability to commute to the London office regularly. Willingness and ability to travel approximately 20-30% of the time across UK&I and EMEA for customer visits. Nice to Have The company or other relevant Cloud/Data certifications. Our Commitment to Diversity and Inclusion At the company, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at the company are considered without regard to age, color, disability, ethnici
27/07/2026
Full time
JOB ID: FEQ427R333 Location: London, United Kingdom Industry: Retail/CPG (UKI Enterprise) Recruiter: Dina Hussain At the company, our core values are at the heart of everything we do. A culture of proactiveness and a customer centric mindset guides us in creating a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be a vital part of this mission, utilising your technical expertise to demonstrate how our Lakehouse Platform can help customers address their complex data challenges. You'll work with a collaborative, customer focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! Reporting to the Manager, Field Engineering. The impact you will have Engage with some of the company's largest and most complex customers across the UK & Ireland, defining their technical strategies and supporting them in adopting the company to achieve their business objectives. Collaborate with the company leadership, account teams and field engineers to define and execute customer engagement strategies. Demonstrate our Builder Culture to the highest standards, putting our principle of "show, not tell" into practice, supported by the full breadth of the latest in AI tooling and processes, to inspire customers and Bricksters on the art of the possible. Coach junior Solutions Architects and teams on use case prioritisation and building technical champions. You will influence stakeholders at all organisational levels through complex engagements with the broader cloud ecosystem and third party applications, ensuring they are excited by the company vision and solution strategy. Be a 'champion' for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the company Lakehouse platform. Contribute to the company's technical community engagement by developing customer facing collateral and leading workshops, seminars, and meet ups. Opportunity to continue your development in one of four tracks - technical specialisation, industry vertical thought leadership, strategic customer vision, and people management. What we look for We are seeking a highly motivated and technically skilled individual to join our UK&I Enterprise Solutions Architecture team, which focuses on engaging with our largest and most complex customers, supporting them in executing strategic business change. This role offers the opportunity to be based in the London Office, with regular collaboration across the UK&I region and close alignment with our London based team. Core Technical Qualifications Hands on experience in technical pre sales or consultancy, with a strong background in Data Science - traditional Machine Learning, Deep Learning, Artificial Intelligence or Generative AI. Demonstrated ability to architect end to end Data & AI solutions, with specific expertise in modern Generative AI concepts (e.g., fine tuning, RAG, MLOps for LLMs), using either open source and/or ISV tools such as Dataiku, Domino, DataRobot, etc. Hands on experience and enthusiasm for building with AI based development tooling such as Genie Code, Claude Code, Cursor, etc. Strong proficiency in a core programming language (e.g., Python, SQL) and a willingness to learn (or existing knowledge of) Spark. Proficiency with big data analytics technologies and public cloud platforms (AWS, Azure, or GCP). Hands on expertise in designing and delivering complex proofs of concept (PoCs). Pre Sales & Customer Facing Skills Proven ability to engage with customers in a technical sales capacity: challenging assumptions, guiding discussions to clear outcomes, and communicating both technical and business value propositions. Experience in the full pre sales lifecycle, including use case discovery, solution scoping, and delivering complex solution architecture designs to diverse audiences (from engineers to executives). A customer centric mindset with a passion for building client relationships and internal partnerships with account teams. Seniority & Leadership Demonstrated experience in coaching and mentoring junior team members to help them develop their technical and customer facing skills. Logistics Ability to commute to the London office regularly. Willingness and ability to travel approximately 20-30% of the time across UK&I and EMEA for customer visits. Nice to Have The company or other relevant Cloud/Data certifications. Our Commitment to Diversity and Inclusion At the company, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at the company are considered without regard to age, color, disability, ethnici
About Scale Factory We are an AI enablement consultancy. Delivering quality-led AI-first foundations, embedding capability and excellence into the foundational fabric of the companies we work with. We give leaders the confidence to move faster, take smarter risks and pursue transformation. Formerly Ten10, we have deep roots in Quality which means we don't just build for the future, we ensure it actually works. We combine this engineering discipline with cutting edge AI expertise to deliver robust, scalable foundations that turn ambitious transformation into reliable reality. About the AI Engineering Lab The digital landscape is evolving faster than ever, and artificial intelligence is at the very heart of this transformation. We don't just teach theory from a textbook; we empower the next generation of technical minds with elite skills to lead cutting edge AI, machine learning, and advanced data projects. The AI Engineering Lab is our specialist training programme designed to fast track exceptional quantitative talent into world class technical consultants. Following an initial training period where you'll gain deep technical expertise and elite client facing skills, you'll be embedded in our Consulting delivery teams working on live projects and delivering immediate impact for our industry leading clients. The Programme Journey: How You'll Grow Our intensive 8 14 week technical enablement curriculum follows a rigorous, modular architecture designed to build both deep foundational knowledge and elite specialism: Phase 0 - The Quality Gate & Pre Learning (Up to 2 Weeks): Before the main cohort kicks off, we evaluate your baseline competencies across programming, Linux, and cloud fundamentals. If there are any gaps, we'll support you with up to two weeks of curated, self paced pre learning to ensure you enter the lab feeling confident and ready. Phase 1 - Core Technical Fundamentals (Weeks 1-4): Dive deep into the core tools of modern technology consulting. You'll master professional software practices (TypeScript/Python, Git), Linux development environments, Cloud Architecture (AWS core services), Infrastructure as Code (Terraform), containerisation (Docker), CI/CD pipelines, and database essentials. Phase 2 - Specialist Track Training (Weeks 5-8/10): Capitalising on your quantitative strengths, you will specialise in one of our high demand elite paths: AI Engineer (Agentic AI): Master autonomous AI architecture, LLMs, prompt engineering, RAG systems, and multi agent frameworks (CrewAI/AutoGen) on the Microsoft platform. AI Engineer (Machine Learning): Attain SageMaker platform mastery, data engineering for ML, custom model development (TensorFlow/PyTorch), and full MLOps pipelines. Data Engineer: Build modern data lakehouses using AWS and Databricks, Apache Spark, and advanced real time streaming pipelines. Cloud Engineer: Gain advanced mastery over compute, Kubernetes orchestration, networking deep dives, and cost optimisation practices. Perks, Progression & Support Elite Certifications Funded: We fully fund premium industry recognised certifications tailored to your track (e.g., AWS Solutions Architect, Microsoft AI Engineer Associate, Databricks Certified Data Engineer). High Touch Mentorship: You'll learn from active senior consultants and industry practitioners through weekly feedback sessions, 1-to-1 training reviews, and dedicated lab support. Vibrant Cohort Culture: Experience your initial face to face training elements in our Leeds hub with fully provided corporate accommodation options before moving into tactical delivery across the UK. 25 Days of Annual Leave: Plus 1 extra day every year for the first three years, with a holiday buying scheme. Pension Plan: Employer matched contributions up to 5%. Health Benefits: Comprehensive coverage for medical, dental, optical, and alternative therapies. Fitness Support: Subsidised gym memberships and a bike to work scheme. Commuter Benefits: Season ticket loans to make travel easier. Free Annual Rail Cards Electric vehicle salary sacrifice scheme Social Events: From annual kick offs and Christmas parties to team socials and sporting events, we love celebrating success together. What We're Looking For We are not looking for finished products, but we do require a highly specific, exceptional baseline of analytical capabilities. We require: A 2:1 or above in Mathematics, Computer Science, Physics, or an Engineering discipline. A-Level Mathematics and Further Mathematics, B or above. A demonstrable, genuine interest in AI, machine learning, data science, or quantitative problem solving. Strong Soft Skills & Adaptability: You need to be a collaborative problem solver who is eager to understand the wider business context and articulate technical concepts to stakeholders. Eligibility for UK Security Clearance (SC) and a willingness to relocate or travel for client project demands (primarily London/Leeds). If this sounds like the next step you've been dreaming of, apply today!
26/07/2026
Full time
About Scale Factory We are an AI enablement consultancy. Delivering quality-led AI-first foundations, embedding capability and excellence into the foundational fabric of the companies we work with. We give leaders the confidence to move faster, take smarter risks and pursue transformation. Formerly Ten10, we have deep roots in Quality which means we don't just build for the future, we ensure it actually works. We combine this engineering discipline with cutting edge AI expertise to deliver robust, scalable foundations that turn ambitious transformation into reliable reality. About the AI Engineering Lab The digital landscape is evolving faster than ever, and artificial intelligence is at the very heart of this transformation. We don't just teach theory from a textbook; we empower the next generation of technical minds with elite skills to lead cutting edge AI, machine learning, and advanced data projects. The AI Engineering Lab is our specialist training programme designed to fast track exceptional quantitative talent into world class technical consultants. Following an initial training period where you'll gain deep technical expertise and elite client facing skills, you'll be embedded in our Consulting delivery teams working on live projects and delivering immediate impact for our industry leading clients. The Programme Journey: How You'll Grow Our intensive 8 14 week technical enablement curriculum follows a rigorous, modular architecture designed to build both deep foundational knowledge and elite specialism: Phase 0 - The Quality Gate & Pre Learning (Up to 2 Weeks): Before the main cohort kicks off, we evaluate your baseline competencies across programming, Linux, and cloud fundamentals. If there are any gaps, we'll support you with up to two weeks of curated, self paced pre learning to ensure you enter the lab feeling confident and ready. Phase 1 - Core Technical Fundamentals (Weeks 1-4): Dive deep into the core tools of modern technology consulting. You'll master professional software practices (TypeScript/Python, Git), Linux development environments, Cloud Architecture (AWS core services), Infrastructure as Code (Terraform), containerisation (Docker), CI/CD pipelines, and database essentials. Phase 2 - Specialist Track Training (Weeks 5-8/10): Capitalising on your quantitative strengths, you will specialise in one of our high demand elite paths: AI Engineer (Agentic AI): Master autonomous AI architecture, LLMs, prompt engineering, RAG systems, and multi agent frameworks (CrewAI/AutoGen) on the Microsoft platform. AI Engineer (Machine Learning): Attain SageMaker platform mastery, data engineering for ML, custom model development (TensorFlow/PyTorch), and full MLOps pipelines. Data Engineer: Build modern data lakehouses using AWS and Databricks, Apache Spark, and advanced real time streaming pipelines. Cloud Engineer: Gain advanced mastery over compute, Kubernetes orchestration, networking deep dives, and cost optimisation practices. Perks, Progression & Support Elite Certifications Funded: We fully fund premium industry recognised certifications tailored to your track (e.g., AWS Solutions Architect, Microsoft AI Engineer Associate, Databricks Certified Data Engineer). High Touch Mentorship: You'll learn from active senior consultants and industry practitioners through weekly feedback sessions, 1-to-1 training reviews, and dedicated lab support. Vibrant Cohort Culture: Experience your initial face to face training elements in our Leeds hub with fully provided corporate accommodation options before moving into tactical delivery across the UK. 25 Days of Annual Leave: Plus 1 extra day every year for the first three years, with a holiday buying scheme. Pension Plan: Employer matched contributions up to 5%. Health Benefits: Comprehensive coverage for medical, dental, optical, and alternative therapies. Fitness Support: Subsidised gym memberships and a bike to work scheme. Commuter Benefits: Season ticket loans to make travel easier. Free Annual Rail Cards Electric vehicle salary sacrifice scheme Social Events: From annual kick offs and Christmas parties to team socials and sporting events, we love celebrating success together. What We're Looking For We are not looking for finished products, but we do require a highly specific, exceptional baseline of analytical capabilities. We require: A 2:1 or above in Mathematics, Computer Science, Physics, or an Engineering discipline. A-Level Mathematics and Further Mathematics, B or above. A demonstrable, genuine interest in AI, machine learning, data science, or quantitative problem solving. Strong Soft Skills & Adaptability: You need to be a collaborative problem solver who is eager to understand the wider business context and articulate technical concepts to stakeholders. Eligibility for UK Security Clearance (SC) and a willingness to relocate or travel for client project demands (primarily London/Leeds). If this sounds like the next step you've been dreaming of, apply today!
About BCN: At BCN we unite people and technology to enable organisations to fly. We believe people and organisations can achieve anything using technology to its full potential. Our role is to help them understand what is possible, implement in the right way and utilise their technology to achieve their ambitions. Which is why we put people front and centre - building client relationships for life and fostering a culture where our people thrive. We are a leading managed IT services provider and technology consultant, specialising in delivering transformative technology solutions with industry-leading client experience across business, public sector and not for profit organisations. From cloud computing, cybersecurity, and data management to power app development, we are dedicated to pioneering technology with Microsoft innovation. Guided by our 3 values of building relationships, customer success and passion and dedication, we are on a mission to make BCN the most trusted tech partner in the UK today. The kind of company clients want to work with, and people want to work for. We are delighted you are on this journey with us! Focus of the role: This role is for an experienced, hands-on senior developer who wants to be at the forefront of AI-powered software development. You will work predominantly on customer projects, designing and delivering production-grade solutions that integrate large language models, agentic systems, and Azure AI services into real-world applications. As a senior member of the team, you will not only build - you will help define and prove the way we deliver AI solutions to clients, setting the standards, patterns, and practices that the wider business will adopt. If you are excited by vibe coding, AI-assisted development, and the rapidly evolving world of LLMs and autonomous agents - and you want to actually build with these technologies rather than just talk about them - this role is for you. For the first 6-12 months this role will sit within the AI and Data Innovation team, where you will establish and prove a mature, repeatable pattern of AI-powered delivery. Once that model is proven, you will transition into the Delivery team, taking those patterns into mainstream client engagements and helping to scale them across the business. Responsibilities: Key Delivery Responsibilities Lead the design, development, and deployment of AI-integrated solutions for client engagements using modern full stack technologies. Integrate Azure AI services (Azure OpenAI, Cognitive Services, Azure ML, AI Search) into production applications. Architect and build LLM-powered features, agentic workflows, and MCP (Model Context Protocol) integrations to a production standard. Work directly with clients to understand requirements, shape solutions, and translate them into working software. Provide technical leadership across engagements, setting the standard for code quality, engineering rigour, and AI-assisted delivery. Contribute to technical research, prototyping, and proof-of-concept development to support client proposals and win new work. Shaping the Future Way of Working Define and prove a mature, repeatable pattern for delivering AI solutions that can be scaled across the Delivery team. Establish reusable tools, accelerators, and components that increase the speed and quality of AI delivery. Explore and evaluate emerging AI technologies, frameworks, and development approaches, bringing the best of them into practice. Champion the adoption of AI-assisted development practices (vibe coding, AI testing, agentic development) across the team and wider business. Mentor and upskill other developers, building AI delivery capability as the model transitions into the Delivery team. Help shape product and delivery strategy by identifying opportunities to package and position AI solutions. Required Skills and Experience Extensive full stack development experience across one or more of: React/Node.js, .NET/C#, Python/FastAPI. Proven track record of delivering production software on client-facing projects, ideally within a consultancy or professional services environment. Experience with prompt engineering, RAG architectures, or agentic AI development at scale. Familiarity with AI-assisted development tools such as GitHub Copilot, Claude, and Cursor. Strong hands-on experience with Azure cloud services and CI/CD pipelines (Azure DevOps). Demonstrable experience integrating LLMs and building AI-powered features in real-world applications. Ability to provide technical leadership - setting standards, mentoring others, and defining ways of working. Strong problem-solving mindset with a high bar for code quality and engineering rigour. Excellent communication and stakeholder management skills - able to explain technical concepts to non-technical audiences and build client confidence. Comfortable working autonomously and shaping ambiguity into repeatable, scalable delivery. Advantageous Azure AI Engineer certification or equivalent practical experience. Understanding of MCP, vector databases, and evaluation/testing approaches for AI systems. Experience mentoring or leading small development teams. Why BCN? The opportunity to shape your own future with industry leading training and development, with access to our BCN Academy. Competitive salary with the ability to progress. 23-days holiday allowance, increasing with length of service, plus bank holidays, an extra day off on your birthday and the option to buy more! Company pension scheme. 2 paid leave days per year to volunteer and support your local community - if it matters to you it matters to us. Health cash plan with free access to a confidential Employee Assistance Programme (EAP) supporting bereavement, financial, health and wellbeing, and much more. Life assurance. Cycle to work scheme, electric vehicle scheme, home and tech scheme, and retail discounts. Balancing work, life, and fitness can be challenging, so we offer a free on-site gym at our Manchester and Leeds locations to make it easier to stay active. Long service recognition to celebrate all the milestones. Beer (or soft drinks) and Pizza days, dress down every day, social events such as Summer BBQ, Christmas party and lots more!
26/07/2026
Full time
About BCN: At BCN we unite people and technology to enable organisations to fly. We believe people and organisations can achieve anything using technology to its full potential. Our role is to help them understand what is possible, implement in the right way and utilise their technology to achieve their ambitions. Which is why we put people front and centre - building client relationships for life and fostering a culture where our people thrive. We are a leading managed IT services provider and technology consultant, specialising in delivering transformative technology solutions with industry-leading client experience across business, public sector and not for profit organisations. From cloud computing, cybersecurity, and data management to power app development, we are dedicated to pioneering technology with Microsoft innovation. Guided by our 3 values of building relationships, customer success and passion and dedication, we are on a mission to make BCN the most trusted tech partner in the UK today. The kind of company clients want to work with, and people want to work for. We are delighted you are on this journey with us! Focus of the role: This role is for an experienced, hands-on senior developer who wants to be at the forefront of AI-powered software development. You will work predominantly on customer projects, designing and delivering production-grade solutions that integrate large language models, agentic systems, and Azure AI services into real-world applications. As a senior member of the team, you will not only build - you will help define and prove the way we deliver AI solutions to clients, setting the standards, patterns, and practices that the wider business will adopt. If you are excited by vibe coding, AI-assisted development, and the rapidly evolving world of LLMs and autonomous agents - and you want to actually build with these technologies rather than just talk about them - this role is for you. For the first 6-12 months this role will sit within the AI and Data Innovation team, where you will establish and prove a mature, repeatable pattern of AI-powered delivery. Once that model is proven, you will transition into the Delivery team, taking those patterns into mainstream client engagements and helping to scale them across the business. Responsibilities: Key Delivery Responsibilities Lead the design, development, and deployment of AI-integrated solutions for client engagements using modern full stack technologies. Integrate Azure AI services (Azure OpenAI, Cognitive Services, Azure ML, AI Search) into production applications. Architect and build LLM-powered features, agentic workflows, and MCP (Model Context Protocol) integrations to a production standard. Work directly with clients to understand requirements, shape solutions, and translate them into working software. Provide technical leadership across engagements, setting the standard for code quality, engineering rigour, and AI-assisted delivery. Contribute to technical research, prototyping, and proof-of-concept development to support client proposals and win new work. Shaping the Future Way of Working Define and prove a mature, repeatable pattern for delivering AI solutions that can be scaled across the Delivery team. Establish reusable tools, accelerators, and components that increase the speed and quality of AI delivery. Explore and evaluate emerging AI technologies, frameworks, and development approaches, bringing the best of them into practice. Champion the adoption of AI-assisted development practices (vibe coding, AI testing, agentic development) across the team and wider business. Mentor and upskill other developers, building AI delivery capability as the model transitions into the Delivery team. Help shape product and delivery strategy by identifying opportunities to package and position AI solutions. Required Skills and Experience Extensive full stack development experience across one or more of: React/Node.js, .NET/C#, Python/FastAPI. Proven track record of delivering production software on client-facing projects, ideally within a consultancy or professional services environment. Experience with prompt engineering, RAG architectures, or agentic AI development at scale. Familiarity with AI-assisted development tools such as GitHub Copilot, Claude, and Cursor. Strong hands-on experience with Azure cloud services and CI/CD pipelines (Azure DevOps). Demonstrable experience integrating LLMs and building AI-powered features in real-world applications. Ability to provide technical leadership - setting standards, mentoring others, and defining ways of working. Strong problem-solving mindset with a high bar for code quality and engineering rigour. Excellent communication and stakeholder management skills - able to explain technical concepts to non-technical audiences and build client confidence. Comfortable working autonomously and shaping ambiguity into repeatable, scalable delivery. Advantageous Azure AI Engineer certification or equivalent practical experience. Understanding of MCP, vector databases, and evaluation/testing approaches for AI systems. Experience mentoring or leading small development teams. Why BCN? The opportunity to shape your own future with industry leading training and development, with access to our BCN Academy. Competitive salary with the ability to progress. 23-days holiday allowance, increasing with length of service, plus bank holidays, an extra day off on your birthday and the option to buy more! Company pension scheme. 2 paid leave days per year to volunteer and support your local community - if it matters to you it matters to us. Health cash plan with free access to a confidential Employee Assistance Programme (EAP) supporting bereavement, financial, health and wellbeing, and much more. Life assurance. Cycle to work scheme, electric vehicle scheme, home and tech scheme, and retail discounts. Balancing work, life, and fitness can be challenging, so we offer a free on-site gym at our Manchester and Leeds locations to make it easier to stay active. Long service recognition to celebrate all the milestones. Beer (or soft drinks) and Pizza days, dress down every day, social events such as Summer BBQ, Christmas party and lots more!
As a Senior Consultant in SAIL, you will own and lead consultancy engagements end-to-end from shaping the opportunity and winning the work, through to delivery governance and team leadership. You will bring SME-level depth in at least one of AI/ML Engineering, Platform Engineering, or Software Engineering, and apply it to create real, lasting value for our clients. Although we do not expect you to be an expert inall ofthe below activities simultaneously, our team consists of people who can work as advisors to our clients as well as bringing deep technical knowledge when needed. The profile of our typical engagements reflect that. AI/ML Specialism You will bring expert-level knowledge in at least one of the following domains, and working knowledge across the others: Agentic AI & LLM Engineering Design and build production-grade agentic systems using major LLM SDKs and agent frameworks; deep knowledge of RAG, MCP servers and prompt engineering at scale. Strong opinions on secure, resilient enterprise deployment of LLM-powered systems; current knowledge of the latest model capabilities and AI product stacks. Machine Learning Engineering End-to-end ML lifecycleexpertise: feature engineering, model training,evaluationand production deployment, includingMLOps, monitoring and drift detection. Practical knowledge of ML frameworks (e.g. scikit-learn,PyTorch,XGBoost) and cloud-native ML services (SageMaker, Azure ML, Vertex AI). Platform & Cloud Engineering Architecture and delivery of scalable cloud data and AI platforms on AWS,Azureor GCP; experienced with containerisation,IaC, event-driven architectures and CI/CD. Track recordof delivering production Python services and APIs; working knowledge of cloud-native application patterns and release practices. Software Engineering Production-grade Python services (FastAPI, AWS Lambda, event-driven patterns) and front-end development with React/Next.js, Material UI and SWR. Cloud architecture design capability across major providers; rounded understanding of database trade-offs - relational, NoSQL,graphand caching strategies. Strong engineering practices: CI/CD, testing (Jest, Cypress, React Test Library), release management and security-conscious development. A genuine passion for AI solutions and specifically for the complexity of delivering them to production at scale. You should be as energised by the hard problems of operationalisation,reliabilityand governance as by the technology itself. Your Skills and Experience We're seeking a technically credible, commercially aware consultant who brings a rare combination of delivery accountability, client advisory skill, and deep AI/technology specialism. You will be someone energised by the complexity of taking AI solutions to production at scale - and who can inspire a team and a client with that same passion. 1-5 years in technology consulting, software engineering or AI/ML SME-level depth in at least one of: Agentic AI/LLM Engineering, Machine Learning Engineering, Platform & Cloud Engineering, or Software Engineering - with strong architecture and design capability across cloud,dataand AI domains. Clear, confident communicator - able to make the complex accessible for technical and non-technical audiences alike, and torepresentBaringa'sexpertisewith credibility. Master's degree in Computer Science, Engineering, Mathematics, Data Science or related discipline, or equivalent depth through relevant professional certifications (e.g. AWS Solutions Architect Professional, Google Professional ML Engineer). Prior experience as a forward-deployed or embedded engineer within a client environment; exposure to regulated industries such as energy, financial services or public sector.
26/07/2026
Full time
As a Senior Consultant in SAIL, you will own and lead consultancy engagements end-to-end from shaping the opportunity and winning the work, through to delivery governance and team leadership. You will bring SME-level depth in at least one of AI/ML Engineering, Platform Engineering, or Software Engineering, and apply it to create real, lasting value for our clients. Although we do not expect you to be an expert inall ofthe below activities simultaneously, our team consists of people who can work as advisors to our clients as well as bringing deep technical knowledge when needed. The profile of our typical engagements reflect that. AI/ML Specialism You will bring expert-level knowledge in at least one of the following domains, and working knowledge across the others: Agentic AI & LLM Engineering Design and build production-grade agentic systems using major LLM SDKs and agent frameworks; deep knowledge of RAG, MCP servers and prompt engineering at scale. Strong opinions on secure, resilient enterprise deployment of LLM-powered systems; current knowledge of the latest model capabilities and AI product stacks. Machine Learning Engineering End-to-end ML lifecycleexpertise: feature engineering, model training,evaluationand production deployment, includingMLOps, monitoring and drift detection. Practical knowledge of ML frameworks (e.g. scikit-learn,PyTorch,XGBoost) and cloud-native ML services (SageMaker, Azure ML, Vertex AI). Platform & Cloud Engineering Architecture and delivery of scalable cloud data and AI platforms on AWS,Azureor GCP; experienced with containerisation,IaC, event-driven architectures and CI/CD. Track recordof delivering production Python services and APIs; working knowledge of cloud-native application patterns and release practices. Software Engineering Production-grade Python services (FastAPI, AWS Lambda, event-driven patterns) and front-end development with React/Next.js, Material UI and SWR. Cloud architecture design capability across major providers; rounded understanding of database trade-offs - relational, NoSQL,graphand caching strategies. Strong engineering practices: CI/CD, testing (Jest, Cypress, React Test Library), release management and security-conscious development. A genuine passion for AI solutions and specifically for the complexity of delivering them to production at scale. You should be as energised by the hard problems of operationalisation,reliabilityand governance as by the technology itself. Your Skills and Experience We're seeking a technically credible, commercially aware consultant who brings a rare combination of delivery accountability, client advisory skill, and deep AI/technology specialism. You will be someone energised by the complexity of taking AI solutions to production at scale - and who can inspire a team and a client with that same passion. 1-5 years in technology consulting, software engineering or AI/ML SME-level depth in at least one of: Agentic AI/LLM Engineering, Machine Learning Engineering, Platform & Cloud Engineering, or Software Engineering - with strong architecture and design capability across cloud,dataand AI domains. Clear, confident communicator - able to make the complex accessible for technical and non-technical audiences alike, and torepresentBaringa'sexpertisewith credibility. Master's degree in Computer Science, Engineering, Mathematics, Data Science or related discipline, or equivalent depth through relevant professional certifications (e.g. AWS Solutions Architect Professional, Google Professional ML Engineer). Prior experience as a forward-deployed or embedded engineer within a client environment; exposure to regulated industries such as energy, financial services or public sector.
Birmingham, United Kingdom / Brighton, United Kingdom / Bristol, United Kingdom / Cardiff, United Kingdom / Glasgow, United Kingdom / London, United Kingdom / Manchester, United Kingdom / Newcastle Upon Tyne, United Kingdom Location/s: London, Cardiff, Bristol, Brighton, Birmingham, Manchester, Glasgow, Newcastle Relocation supported:Not supported, but internal applications are welcome Hiring manager contact: Sam Ahdab Mott MacDonald is a global engineering, management, and development consultancy with over 20,000 employees across more than 50 countries and 140+ offices. We work across incredible global industries, delivering exciting work that is defining our future and making an important societal impact in the communities we serve. Our people power our performance - we succeed when they do. With countless opportunities to collaborate, learn, and grow, the possibilities for excellence are as varied as every individual. Whether you want to grow as a subject matter expert or broaden your experience with roles across our international community, you're surrounded by global specialists who want to combine their expertise and champion you to be your best. As a proudly employee owned business, we benefit our clients, our communities, and each other, investing in creating the right space for everyone to feel empowered, included, and valued. Whatever your ambition, Mott MacDonald is where people come to be brilliant. Overview of the role: We are looking for a Principal Data Scientist to help shape the design, development and delivery of production grade AI, machine learning and data science solutions across Mott MacDonald. The role will focus on turning complex business, engineering and environmental needs into scalable, reliable data products and AI services. The successful candidate will bring technical experience across generative AI, large language models, retrieval augmented generation, machine learning, computer vision, geospatial data science and MLOps. They will work with multidisciplinary teams to identify valuable use cases, shape solution architecture, develop reliable models and ensure solutions are tested, monitored and improved in live use. The role includes end to end AI and data science delivery; setting standards for model development, evaluation and deployment; building reusable internal AI services; coaching data scientists and engineers; contributing to AI governance; and translating technical opportunities into clear business value for project teams and senior stakeholders. Candidate Specifications: Experience delivering production data science, machine learning or AI in an enterprise environment. Practical experience in Python and modern machine learning frameworks such as PyTorch, TensorFlow or Keras. Practical experience with generative AI, large language models, embedding models, retrieval augmented generation, AI agents, model evaluation and fine tuning techniques. Experience designing and operating end to end MLOps workflows, including model training, deployment, monitoring, automation and continuous improvement. Ability to work across cloud and engineering environments, including tools such as Azure, Kubernetes, Docker, MLflow, GitHub Actions, Terraform or Databricks. Clear communication and stakeholder engagement skills, with the ability to explain complex technical concepts in accessible business language. Experience coaching, mentoring or giving technical guidance to data scientists, machine learning engineers or data professionals Experience applying computer vision, geospatial data science or predictive modelling to engineering, infrastructure, environmental or asset management work. Knowledge of tools and methods such as LangChain, LLM orchestration, agentic tool use, segmentation foundation models, zero/few shot visual understanding Experience developing reusable internal AI platforms, foundation model services or automation capabilities for use by wider teams. Postgraduate qualification or equivalent research experience in data science, engineering, computer science, applied mathematics or a related discipline. Evidence of innovation, publication, award recognition or contribution to data science practice. UK Immigration Mott MacDonald Ltd. are not currently offering sponsorship to candidates under the Skilled Worker visa route in the UK. This decision is as a consequence of the changes made to the Skilled Worker route by the UK Government in April 2024. We continue to welcome applications from candidates who are eligible for alternative immigration routes in the UK, that do not require sponsorship as a Skilled Worker now or in future. At Mott MacDonald, we believe it makes business sense for you and your manager to choose how you can work most effectively to meet your client, team, and personal commitments. We offer a hybrid working policy that embraces your well being, flexibility, and trust. Equality, diversity, and inclusion We put equality, diversity, and inclusion at the heart of our business, seeking to promote fair employment procedures and practices to ensure equal opportunities for all. We encourage individual expression in our workplace and are committed to creating an inclusive environment where everyone feels they can contribute. Accessibility We want you to perform your best at every stage in the recruitment process. If you are disabled or need any support to enable you to apply or attend an interview, please contact us at and we will talk to you about how we can support you. Financial wellbeing We match employee pension contributions between 4.5% and 7%. Life assurance equal up to 4 x your basic salary, with an option to increase the level of cover to 6 x your salary. Our income protection scheme provides a financial benefit, as well as absence and return to work support due to long term illness or injury. Flexible benefits, including increased life assurance cover, critical illness insurance, payroll saving and will writing. As an independently owned business we share the financial success of the business with all our colleagues in various ways including annual bonus schemes. Employee Ownership Our employee ownership model means no external investors, just us, creating a culture of shared success. Our employees have a stake and a voice in our business, giving them a direct connection to our success through our personal and group performance bonuses. As your career grows, so does your stake, recognising your long term impact and contribution. Your voice matters, with the opportunity to connect directly with senior leadership through formal channels to help shape our future. For our senior roles you will have a direct pathway towards ownership from day one. Health and wellbeing Private medical insurance for all UK colleagues. Health cash plan to support you with every day health costs and treatments. Access to Peppy, providing free support from menopause experts for all UK colleagues. A variety of wellbeing support is available through our comprehensive wellbeing program, including access for you and your family. Ability to flex your salary to opt into a wide range of health benefits, many of which can be extended to your family too. Lifestyle A minimum of 33-35 days holiday each year, inclusive of public holidays and dependent on level, with the ability to buy or sell leave through our flexible benefits programme. 10 days additional paid leave for Armed Forces Reservists and Cadet Force Adult Volunteers. Holiday entitlement increased to a minimum of 35 days after 5 years' service. Variety of employee saving schemes and discounts from high street retailers. Enhanced family and carers leave Enhanced family leave policies, including 26 weeks paid maternity and adoption leave, and two weeks paid paternity/partner leave. Our shared parental leave matches maternity leave meaning we pay up to 24 weeks at full pay. Up to five additional days leave are provided for those with significant caring responsibilities, two of which are paid. We offer policies and dedicated support to help military families balance service life with career and wellbeing. Learning and development Primary annual professional institution subscription. A broad range of opportunities to enhance both technical and soft skills through mentoring, formal training, and self development options. Networks, communities, and social outcomes Join a wide range of groups including our Advanced Employee Networks which support our LGBTQ+, gender, race and ethnicity, disability, and parents/carers communities. We are proud signatories of the Armed Forces Covenant and Gold Award holders in the MOD Employer Recognition Scheme, supported by our dedicated internal Armed Forces Network.
26/07/2026
Full time
Birmingham, United Kingdom / Brighton, United Kingdom / Bristol, United Kingdom / Cardiff, United Kingdom / Glasgow, United Kingdom / London, United Kingdom / Manchester, United Kingdom / Newcastle Upon Tyne, United Kingdom Location/s: London, Cardiff, Bristol, Brighton, Birmingham, Manchester, Glasgow, Newcastle Relocation supported:Not supported, but internal applications are welcome Hiring manager contact: Sam Ahdab Mott MacDonald is a global engineering, management, and development consultancy with over 20,000 employees across more than 50 countries and 140+ offices. We work across incredible global industries, delivering exciting work that is defining our future and making an important societal impact in the communities we serve. Our people power our performance - we succeed when they do. With countless opportunities to collaborate, learn, and grow, the possibilities for excellence are as varied as every individual. Whether you want to grow as a subject matter expert or broaden your experience with roles across our international community, you're surrounded by global specialists who want to combine their expertise and champion you to be your best. As a proudly employee owned business, we benefit our clients, our communities, and each other, investing in creating the right space for everyone to feel empowered, included, and valued. Whatever your ambition, Mott MacDonald is where people come to be brilliant. Overview of the role: We are looking for a Principal Data Scientist to help shape the design, development and delivery of production grade AI, machine learning and data science solutions across Mott MacDonald. The role will focus on turning complex business, engineering and environmental needs into scalable, reliable data products and AI services. The successful candidate will bring technical experience across generative AI, large language models, retrieval augmented generation, machine learning, computer vision, geospatial data science and MLOps. They will work with multidisciplinary teams to identify valuable use cases, shape solution architecture, develop reliable models and ensure solutions are tested, monitored and improved in live use. The role includes end to end AI and data science delivery; setting standards for model development, evaluation and deployment; building reusable internal AI services; coaching data scientists and engineers; contributing to AI governance; and translating technical opportunities into clear business value for project teams and senior stakeholders. Candidate Specifications: Experience delivering production data science, machine learning or AI in an enterprise environment. Practical experience in Python and modern machine learning frameworks such as PyTorch, TensorFlow or Keras. Practical experience with generative AI, large language models, embedding models, retrieval augmented generation, AI agents, model evaluation and fine tuning techniques. Experience designing and operating end to end MLOps workflows, including model training, deployment, monitoring, automation and continuous improvement. Ability to work across cloud and engineering environments, including tools such as Azure, Kubernetes, Docker, MLflow, GitHub Actions, Terraform or Databricks. Clear communication and stakeholder engagement skills, with the ability to explain complex technical concepts in accessible business language. Experience coaching, mentoring or giving technical guidance to data scientists, machine learning engineers or data professionals Experience applying computer vision, geospatial data science or predictive modelling to engineering, infrastructure, environmental or asset management work. Knowledge of tools and methods such as LangChain, LLM orchestration, agentic tool use, segmentation foundation models, zero/few shot visual understanding Experience developing reusable internal AI platforms, foundation model services or automation capabilities for use by wider teams. Postgraduate qualification or equivalent research experience in data science, engineering, computer science, applied mathematics or a related discipline. Evidence of innovation, publication, award recognition or contribution to data science practice. UK Immigration Mott MacDonald Ltd. are not currently offering sponsorship to candidates under the Skilled Worker visa route in the UK. This decision is as a consequence of the changes made to the Skilled Worker route by the UK Government in April 2024. We continue to welcome applications from candidates who are eligible for alternative immigration routes in the UK, that do not require sponsorship as a Skilled Worker now or in future. At Mott MacDonald, we believe it makes business sense for you and your manager to choose how you can work most effectively to meet your client, team, and personal commitments. We offer a hybrid working policy that embraces your well being, flexibility, and trust. Equality, diversity, and inclusion We put equality, diversity, and inclusion at the heart of our business, seeking to promote fair employment procedures and practices to ensure equal opportunities for all. We encourage individual expression in our workplace and are committed to creating an inclusive environment where everyone feels they can contribute. Accessibility We want you to perform your best at every stage in the recruitment process. If you are disabled or need any support to enable you to apply or attend an interview, please contact us at and we will talk to you about how we can support you. Financial wellbeing We match employee pension contributions between 4.5% and 7%. Life assurance equal up to 4 x your basic salary, with an option to increase the level of cover to 6 x your salary. Our income protection scheme provides a financial benefit, as well as absence and return to work support due to long term illness or injury. Flexible benefits, including increased life assurance cover, critical illness insurance, payroll saving and will writing. As an independently owned business we share the financial success of the business with all our colleagues in various ways including annual bonus schemes. Employee Ownership Our employee ownership model means no external investors, just us, creating a culture of shared success. Our employees have a stake and a voice in our business, giving them a direct connection to our success through our personal and group performance bonuses. As your career grows, so does your stake, recognising your long term impact and contribution. Your voice matters, with the opportunity to connect directly with senior leadership through formal channels to help shape our future. For our senior roles you will have a direct pathway towards ownership from day one. Health and wellbeing Private medical insurance for all UK colleagues. Health cash plan to support you with every day health costs and treatments. Access to Peppy, providing free support from menopause experts for all UK colleagues. A variety of wellbeing support is available through our comprehensive wellbeing program, including access for you and your family. Ability to flex your salary to opt into a wide range of health benefits, many of which can be extended to your family too. Lifestyle A minimum of 33-35 days holiday each year, inclusive of public holidays and dependent on level, with the ability to buy or sell leave through our flexible benefits programme. 10 days additional paid leave for Armed Forces Reservists and Cadet Force Adult Volunteers. Holiday entitlement increased to a minimum of 35 days after 5 years' service. Variety of employee saving schemes and discounts from high street retailers. Enhanced family and carers leave Enhanced family leave policies, including 26 weeks paid maternity and adoption leave, and two weeks paid paternity/partner leave. Our shared parental leave matches maternity leave meaning we pay up to 24 weeks at full pay. Up to five additional days leave are provided for those with significant caring responsibilities, two of which are paid. We offer policies and dedicated support to help military families balance service life with career and wellbeing. Learning and development Primary annual professional institution subscription. A broad range of opportunities to enhance both technical and soft skills through mentoring, formal training, and self development options. Networks, communities, and social outcomes Join a wide range of groups including our Advanced Employee Networks which support our LGBTQ+, gender, race and ethnicity, disability, and parents/carers communities. We are proud signatories of the Armed Forces Covenant and Gold Award holders in the MOD Employer Recognition Scheme, supported by our dedicated internal Armed Forces Network.
# AI Search & GEO StrategistOpen 12-month contractRemote (UK)Search, AI & ContentApply for This Role The RoleWe're hiring an AI Search & GEO Strategist to make our B2B SaaS clients the answer that AI engines cite. This is a 12-month contract role focused on Generative Engine Optimisation (GEO): growing brand visibility, citations and share of voice across ChatGPT, Claude, Gemini, Perplexity and Google AI Overviews. You'll combine entity SEO, content engineering and measurement, working closely with our WriteWorks platform to prove citation lift in pipeline terms. B2B SaaS and hands-on GEO experience are essential. What You'll Do Own GEO strategy across a portfolio of B2B SaaS accounts Run citation tracking and share-of-voice analysis across 8+ AI engines Engineer citation-ready content with entity clarity, structure and prompt alignment Build prompt research and intent maps that mirror how buyers ask AI Use WriteWorks to measure AI visibility and connect it to pipeline Advise clients and internal teams on AI-search best practice and what's changing Report citation movement and AI-referred sessions in board-ready formats What We're Looking For 4+ years in SEO/content with hands-on GEO and AI-search experience. Essential Demonstrable results growing visibility in ChatGPT, Perplexity, Gemini or AI Overviews Strong grasp of entity SEO, structured data and content extractability Confident analysing GA4, Search Console and citation tooling independently B2B SaaS experience and excellent client communication Nice to Have Experience with content engineering platforms (e.g. WriteWorks) Python or JavaScript for SEO and data automation Familiarity with LLM prompt engineering About Surge45Surge45 is a specialist B2B SaaS discovery & growth consultancy helping companies achieve T2D3 growth: Triple, Triple, Double, Double, Double. We run the full discovery and growth system for our clients: SEO, AI search, paid acquisition, lead generation, content, CRO, and strategy, all tied to pipeline, demos, and ARR.We work with post-PMF to scale-stage SaaS companies and have a direct line of sight from our work to $100M+ in client pipeline. We're a remote-first team with a high-trust, high-autonomy culture. Tools & TechnologiesWriteWorksAhrefsSemrushGoogle Search ConsoleGoogle Analytics 4NotionSlack Role SummaryStatusOpenContract12-month contractTeamSearch, AI & ContentLevelSeniorLocationRemote (UK) Ready to apply?Send your CV and a short cover note to our team. We review every application personally.Apply via EmailOpens your email client with the job title pre-filled Other open rolesSenior B2B SaaS SEO StrategistSearch & ContentB2B SaaS Paid Media SpecialistPaid & PerformanceB2B SaaS Content StrategistSearch & ContentSenior B2B SaaS Account ManagerClient SuccessView all 12 roles Interested in the AI Search & GEO Strategist role?Send your CV and a short cover note to . Our team reviews every application personally, typically within 3-5 business days.Apply for AI Search & GEO Strategist
26/07/2026
Full time
# AI Search & GEO StrategistOpen 12-month contractRemote (UK)Search, AI & ContentApply for This Role The RoleWe're hiring an AI Search & GEO Strategist to make our B2B SaaS clients the answer that AI engines cite. This is a 12-month contract role focused on Generative Engine Optimisation (GEO): growing brand visibility, citations and share of voice across ChatGPT, Claude, Gemini, Perplexity and Google AI Overviews. You'll combine entity SEO, content engineering and measurement, working closely with our WriteWorks platform to prove citation lift in pipeline terms. B2B SaaS and hands-on GEO experience are essential. What You'll Do Own GEO strategy across a portfolio of B2B SaaS accounts Run citation tracking and share-of-voice analysis across 8+ AI engines Engineer citation-ready content with entity clarity, structure and prompt alignment Build prompt research and intent maps that mirror how buyers ask AI Use WriteWorks to measure AI visibility and connect it to pipeline Advise clients and internal teams on AI-search best practice and what's changing Report citation movement and AI-referred sessions in board-ready formats What We're Looking For 4+ years in SEO/content with hands-on GEO and AI-search experience. Essential Demonstrable results growing visibility in ChatGPT, Perplexity, Gemini or AI Overviews Strong grasp of entity SEO, structured data and content extractability Confident analysing GA4, Search Console and citation tooling independently B2B SaaS experience and excellent client communication Nice to Have Experience with content engineering platforms (e.g. WriteWorks) Python or JavaScript for SEO and data automation Familiarity with LLM prompt engineering About Surge45Surge45 is a specialist B2B SaaS discovery & growth consultancy helping companies achieve T2D3 growth: Triple, Triple, Double, Double, Double. We run the full discovery and growth system for our clients: SEO, AI search, paid acquisition, lead generation, content, CRO, and strategy, all tied to pipeline, demos, and ARR.We work with post-PMF to scale-stage SaaS companies and have a direct line of sight from our work to $100M+ in client pipeline. We're a remote-first team with a high-trust, high-autonomy culture. Tools & TechnologiesWriteWorksAhrefsSemrushGoogle Search ConsoleGoogle Analytics 4NotionSlack Role SummaryStatusOpenContract12-month contractTeamSearch, AI & ContentLevelSeniorLocationRemote (UK) Ready to apply?Send your CV and a short cover note to our team. We review every application personally.Apply via EmailOpens your email client with the job title pre-filled Other open rolesSenior B2B SaaS SEO StrategistSearch & ContentB2B SaaS Paid Media SpecialistPaid & PerformanceB2B SaaS Content StrategistSearch & ContentSenior B2B SaaS Account ManagerClient SuccessView all 12 roles Interested in the AI Search & GEO Strategist role?Send your CV and a short cover note to . Our team reviews every application personally, typically within 3-5 business days.Apply for AI Search & GEO Strategist
At Databricks, our core values are at the heart of everything we do. A culture of proactiveness and a customer centric mindset guides us in creating a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be a vital part of this mission, utilising your technical expertise to demonstrate how our Lakehouse Platform can help customers address their complex data challenges. You'll work with a collaborative, customer focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! Reporting to the Manager, Field Engineering. The impact you will have Engage with some of Databricks's largest and most complex customers across the UK & Ireland, defining their technical strategies and supporting them in adopting Databricks to achieve their business objectives. Collaborate with Databricks leadership, account teams and field engineers to define and execute customer engagement strategies. Demonstrate our Builder Culture to the highest standards, putting our principle of "show, not tell" into practice, supported by the full breadth of the latest in AI tooling and processes, to inspire customers and Bricksters on the art of the possible. Coach junior Solutions Architects and teams on use case prioritisation and building technical champions. You will influence stakeholders at all organisational levels through complex engagements with the broader cloud ecosystem and third party applications, ensuring they are excited by the Databricks vision and solution strategy. Be a 'champion' for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform. Contribute to Databricks' technical community engagement by developing customer facing collateral and leading workshops, seminars, and meet ups. Opportunity to continue your development in one of four tracks - technical specialisation, industry vertical thought leadership, strategic customer vision, and people management. What we look for We are seeking a highly motivated and technically skilled individual to join our UK&I Enterprise Solutions Architecture team, which focuses on engaging with our largest and most complex customers, supporting them in executing strategic business change. This role offers the opportunity to be based in the London Office, with regular collaboration across the UK&I region and close alignment with our London based team. Core Technical Qualifications Hands on experience in technical pre sales or consultancy, with a strong background in Data Science - traditional Machine Learning, Deep Learning, Artificial Intelligence or Generative AI. Demonstrated ability to architect end to end Data & AI solutions, with specific expertise in modern Generative AI concepts (e.g., fine tuning, RAG, MLOps for LLMs), using either open source and/or ISV tools such as Dataiku, Domino, DataRobot etc. Hands on experience and enthusiasm for building with AI based development tooling such as Genie Code, Claude Code, Cursor etc. Strong proficiency in a core programming language (e.g., Python, SQL) and a willingness to learn (or existing knowledge of) Spark. Proficiency with big data analytics technologies and public cloud platforms (AWS, Azure, or GCP). Hands on expertise in designing and delivering complex proofs of concept (PoCs). Proven ability to engage with customers in a technical sales capacity: challenging assumptions, guiding discussions to clear outcomes, and communicating both technical and business value propositions. Experience in the full pre sales lifecycle, including use case discovery, solution scoping, and delivering complex solution architecture designs to diverse audiences (from engineers to executives). A customer centric mindset with a passion for building client relationships and internal partnerships with account teams. Seniority & Leadership Demonstrated experience in coaching and mentoring junior team members to help them develop their technical and customer facing skills. Logistics Ability to commute to the London office regularly. Willingness and ability to travel approximately % of the time across UK&I and EMEA for customer visits. Nice to Have Databricks or other relevant Cloud/Data certifications. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
26/07/2026
Full time
At Databricks, our core values are at the heart of everything we do. A culture of proactiveness and a customer centric mindset guides us in creating a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be a vital part of this mission, utilising your technical expertise to demonstrate how our Lakehouse Platform can help customers address their complex data challenges. You'll work with a collaborative, customer focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! Reporting to the Manager, Field Engineering. The impact you will have Engage with some of Databricks's largest and most complex customers across the UK & Ireland, defining their technical strategies and supporting them in adopting Databricks to achieve their business objectives. Collaborate with Databricks leadership, account teams and field engineers to define and execute customer engagement strategies. Demonstrate our Builder Culture to the highest standards, putting our principle of "show, not tell" into practice, supported by the full breadth of the latest in AI tooling and processes, to inspire customers and Bricksters on the art of the possible. Coach junior Solutions Architects and teams on use case prioritisation and building technical champions. You will influence stakeholders at all organisational levels through complex engagements with the broader cloud ecosystem and third party applications, ensuring they are excited by the Databricks vision and solution strategy. Be a 'champion' for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform. Contribute to Databricks' technical community engagement by developing customer facing collateral and leading workshops, seminars, and meet ups. Opportunity to continue your development in one of four tracks - technical specialisation, industry vertical thought leadership, strategic customer vision, and people management. What we look for We are seeking a highly motivated and technically skilled individual to join our UK&I Enterprise Solutions Architecture team, which focuses on engaging with our largest and most complex customers, supporting them in executing strategic business change. This role offers the opportunity to be based in the London Office, with regular collaboration across the UK&I region and close alignment with our London based team. Core Technical Qualifications Hands on experience in technical pre sales or consultancy, with a strong background in Data Science - traditional Machine Learning, Deep Learning, Artificial Intelligence or Generative AI. Demonstrated ability to architect end to end Data & AI solutions, with specific expertise in modern Generative AI concepts (e.g., fine tuning, RAG, MLOps for LLMs), using either open source and/or ISV tools such as Dataiku, Domino, DataRobot etc. Hands on experience and enthusiasm for building with AI based development tooling such as Genie Code, Claude Code, Cursor etc. Strong proficiency in a core programming language (e.g., Python, SQL) and a willingness to learn (or existing knowledge of) Spark. Proficiency with big data analytics technologies and public cloud platforms (AWS, Azure, or GCP). Hands on expertise in designing and delivering complex proofs of concept (PoCs). Proven ability to engage with customers in a technical sales capacity: challenging assumptions, guiding discussions to clear outcomes, and communicating both technical and business value propositions. Experience in the full pre sales lifecycle, including use case discovery, solution scoping, and delivering complex solution architecture designs to diverse audiences (from engineers to executives). A customer centric mindset with a passion for building client relationships and internal partnerships with account teams. Seniority & Leadership Demonstrated experience in coaching and mentoring junior team members to help them develop their technical and customer facing skills. Logistics Ability to commute to the London office regularly. Willingness and ability to travel approximately % of the time across UK&I and EMEA for customer visits. Nice to Have Databricks or other relevant Cloud/Data certifications. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
About Us At Oakland, we help businesses unlock the power of their data. Whetherit'sdata strategy, governance, engineering, analytics, or AI, we work with our clients to turn data into real, impactful results. Our team is made up of friendly, hands on experts who love solving problems and making a difference. We don't just advise, we roll up our sleeves and get stuck in, working alongside our clients every step of the way. Founded in 1986 out of our Leeds HQ, we work with a diverse range of clients across all sorts of industries including Utilities, Telecommunications, Media, Financial Services, Public Sector, and many more! Our projects range from multi year data transformations to specific, shorter term assignments, so you'll have plenty of opportunities to diversify your skillset. We meet high standards for social and environmental impact, transparency, and accountability. We believe businesses should be a force for good, so we make sure our decisions don't just benefit the bottom line but also our people, communities, and the planet. And it's not just us saying we're a great place to work we were recently named a Top 5 Best Consultancy to work for in the UK through Best Companies! We're all about creating an environment where people can grow, do meaningful work, and enjoy the journey. In April 2025, Oakland was acquired by Softcat, a leading provider of IT infrastructure services to corporate and public sectors. By combining Oakland's deep expertise in data and AI consulting with Softcat's extensive portfolio and market presence, we can deliver unparalleled value and innovation to our clients. This partnership marks a significant milestone in our journey, and we're looking forward to achieving great things together. The role As a tech agnostic consultancy, Engineers at Oakland develop a broad range of technical skills. You'll be a programmer at heart, with a strong foundation in data or software engineering and a curiosity for learning new tools, technologies, and approaches. No two projects are the same, so we encourage our Engineers to become technology polyglots and find the best solution to our clients' problems. You'll work alongside experienced colleagues across a variety of engagements, gaining exposure to different technologies while continuing to develop your technical expertise. Our work spans data platform implementations, business intelligence, web applications, AI solutions, and much more. This means you'll have the opportunity to contribute to real client projects while growing into a well rounded technologist within our community of 25+ Engineers. As a Junior Engineer, you'll spend much of your time delivering project work, supported by experienced team members. You'll also spend time investing in ongoing learning and development to build your skills and broaden your experience. Essential Around 1-2 years of commercial experience in software engineering, data engineering, or a related technical field. Working knowledge of SQL, Python, and least one additional programming language such as C#, C++, JavaScript, or TypeScript. A willingness to learn new technologies and work across different areas of our technology stack. Strong problem solving skills and a collaborative approach to working within project teams. It Would Be Great If You Also Have: Exposure to modern data platforms such as Microsoft Fabric, Snowflake, or Databricks. Experience developing web applications using React or similar front end frameworks. Familiarity with DevOps concepts such as Infrastructure as Code (IaC), CI/CD pipelines, Docker, Terraform, or Kubernetes. An interest in AI and emerging technologies, with some exposure to areas such as Generative AI, LLMs, RAG solutions, prompt engineering, or agentic applications. Certifications (Desirable) Azure certifications such as DP-900, DP-700, DP-600, AI-901 or other Azure data and AI certifications. Snowflake SnowPro Core. Equivalent certifications in cloud, data, AI, or software engineering technologies. Blended Working We operate a blended working model, with colleagues spending at least two days per week in the office, aligned to project team requirements. Occasional travel to client sites may also be required. This balance helps us stay connected, learn from each other, and build strong relationships - both within our team and with the businesses we support. Benefits That Put You First Health & Wellbeing- Private Healthcare from day one for you and your household, including dental cover, physiotherapy, mental health support, and access to a range of wellbeing services to keep you feeling your best. Discretionary Bonus- Your hard work won't go unnoticed. When we do well, you'll do well. Generous Pension- 10% employer contribution, plus flexible options so you can adjust to your investment preferences. Giving Back- Support causes you care about with our Payroll Giving Scheme and Matched Charitable Giving program. Bike to Work Scheme- Save money, stay active, and enjoy tax savings on a new bike. Family Friendly Policies- We support all paths to parenthood with: Enhanced Maternity Pay - 16 weeks full pay, 10 weeks half pay. Enhanced Paternity Pay - 2 weeks full pay, 2 weeks half pay. Adoption, Surrogacy & Shared Parental Leave. Fertility Treatment Support - Because your family matters. Time to Recharge- 25 days annual leave + bank holidays (and your allowance grows the longer you're with us!). Learning & Development- We invest in you with: Personalised development plans tailored to your goals. Full support for certifications. Access to The Oakland Academy for a suite of learning materials. An annual Personal Learning Budget to upskill in ways that matter to you. Refer & Earn- Know someone great? If they join us, you'll get a referral bonus as a thank you. Diversity, Equity, Inclusion & Belonging at Oakland At Oakland, we believe that diverse perspectives drive better outcomes - for our people, our clients, and our business. Our commitment to DEIB is not just about policies; it's about creating a workplace where everyone feels heard, valued, and empowered to thrive. We are building a truly inclusive Oakland where you can be yourself - no matter your background, gender, age, race, ethnicity, disability, sexual orientation, or any other characteristic that makes you, you. Fair & Inclusive Hiring Every interviewer completes recruitment and unconscious bias training, and our hiring process is skills based and structured to ensure fairness and consistency for all candidates. Support Throughout the Interview Process If you require any reasonable accommodations to make your interview experience more accessible, our Talent team is here to help - just let us know.
25/07/2026
Full time
About Us At Oakland, we help businesses unlock the power of their data. Whetherit'sdata strategy, governance, engineering, analytics, or AI, we work with our clients to turn data into real, impactful results. Our team is made up of friendly, hands on experts who love solving problems and making a difference. We don't just advise, we roll up our sleeves and get stuck in, working alongside our clients every step of the way. Founded in 1986 out of our Leeds HQ, we work with a diverse range of clients across all sorts of industries including Utilities, Telecommunications, Media, Financial Services, Public Sector, and many more! Our projects range from multi year data transformations to specific, shorter term assignments, so you'll have plenty of opportunities to diversify your skillset. We meet high standards for social and environmental impact, transparency, and accountability. We believe businesses should be a force for good, so we make sure our decisions don't just benefit the bottom line but also our people, communities, and the planet. And it's not just us saying we're a great place to work we were recently named a Top 5 Best Consultancy to work for in the UK through Best Companies! We're all about creating an environment where people can grow, do meaningful work, and enjoy the journey. In April 2025, Oakland was acquired by Softcat, a leading provider of IT infrastructure services to corporate and public sectors. By combining Oakland's deep expertise in data and AI consulting with Softcat's extensive portfolio and market presence, we can deliver unparalleled value and innovation to our clients. This partnership marks a significant milestone in our journey, and we're looking forward to achieving great things together. The role As a tech agnostic consultancy, Engineers at Oakland develop a broad range of technical skills. You'll be a programmer at heart, with a strong foundation in data or software engineering and a curiosity for learning new tools, technologies, and approaches. No two projects are the same, so we encourage our Engineers to become technology polyglots and find the best solution to our clients' problems. You'll work alongside experienced colleagues across a variety of engagements, gaining exposure to different technologies while continuing to develop your technical expertise. Our work spans data platform implementations, business intelligence, web applications, AI solutions, and much more. This means you'll have the opportunity to contribute to real client projects while growing into a well rounded technologist within our community of 25+ Engineers. As a Junior Engineer, you'll spend much of your time delivering project work, supported by experienced team members. You'll also spend time investing in ongoing learning and development to build your skills and broaden your experience. Essential Around 1-2 years of commercial experience in software engineering, data engineering, or a related technical field. Working knowledge of SQL, Python, and least one additional programming language such as C#, C++, JavaScript, or TypeScript. A willingness to learn new technologies and work across different areas of our technology stack. Strong problem solving skills and a collaborative approach to working within project teams. It Would Be Great If You Also Have: Exposure to modern data platforms such as Microsoft Fabric, Snowflake, or Databricks. Experience developing web applications using React or similar front end frameworks. Familiarity with DevOps concepts such as Infrastructure as Code (IaC), CI/CD pipelines, Docker, Terraform, or Kubernetes. An interest in AI and emerging technologies, with some exposure to areas such as Generative AI, LLMs, RAG solutions, prompt engineering, or agentic applications. Certifications (Desirable) Azure certifications such as DP-900, DP-700, DP-600, AI-901 or other Azure data and AI certifications. Snowflake SnowPro Core. Equivalent certifications in cloud, data, AI, or software engineering technologies. Blended Working We operate a blended working model, with colleagues spending at least two days per week in the office, aligned to project team requirements. Occasional travel to client sites may also be required. This balance helps us stay connected, learn from each other, and build strong relationships - both within our team and with the businesses we support. Benefits That Put You First Health & Wellbeing- Private Healthcare from day one for you and your household, including dental cover, physiotherapy, mental health support, and access to a range of wellbeing services to keep you feeling your best. Discretionary Bonus- Your hard work won't go unnoticed. When we do well, you'll do well. Generous Pension- 10% employer contribution, plus flexible options so you can adjust to your investment preferences. Giving Back- Support causes you care about with our Payroll Giving Scheme and Matched Charitable Giving program. Bike to Work Scheme- Save money, stay active, and enjoy tax savings on a new bike. Family Friendly Policies- We support all paths to parenthood with: Enhanced Maternity Pay - 16 weeks full pay, 10 weeks half pay. Enhanced Paternity Pay - 2 weeks full pay, 2 weeks half pay. Adoption, Surrogacy & Shared Parental Leave. Fertility Treatment Support - Because your family matters. Time to Recharge- 25 days annual leave + bank holidays (and your allowance grows the longer you're with us!). Learning & Development- We invest in you with: Personalised development plans tailored to your goals. Full support for certifications. Access to The Oakland Academy for a suite of learning materials. An annual Personal Learning Budget to upskill in ways that matter to you. Refer & Earn- Know someone great? If they join us, you'll get a referral bonus as a thank you. Diversity, Equity, Inclusion & Belonging at Oakland At Oakland, we believe that diverse perspectives drive better outcomes - for our people, our clients, and our business. Our commitment to DEIB is not just about policies; it's about creating a workplace where everyone feels heard, valued, and empowered to thrive. We are building a truly inclusive Oakland where you can be yourself - no matter your background, gender, age, race, ethnicity, disability, sexual orientation, or any other characteristic that makes you, you. Fair & Inclusive Hiring Every interviewer completes recruitment and unconscious bias training, and our hiring process is skills based and structured to ensure fairness and consistency for all candidates. Support Throughout the Interview Process If you require any reasonable accommodations to make your interview experience more accessible, our Talent team is here to help - just let us know.
United States Digital Space LLC
Reading, Berkshire
About BCN: At BCN we unite people and technology to enable organisations to fly. We believe people and organisations can achieve anything using technology to its full potential. Our role is to help them understand what is possible, implement in the right way and utilise their technology to achieve their ambitions. Which is why we put people front and centre - building client relationships for life and fostering a culture where our people thrive. We are a leading managed IT services provider and technology consultant, specialising in delivering transformative technology solutions with industry-leading client experience across business, public sector and not for profit organisations. From cloud computing, cybersecurity, and data management to power app development, we are dedicated to pioneering technology with Microsoft innovation. Guided by our 3 values of building relationships, customer success and passion and dedication, we are on a mission to make BCN the most trusted tech partner in the UK today. The kind of company clients want to work with, and people want to work for. We are delighted you are on this journey with us! Focus of the role: This role is for an experienced, hands-on senior developer who wants to be at the forefront of AI-powered software development. You will work predominantly on customer projects, designing and delivering production-grade solutions that integrate large language models, agentic systems, and Azure AI services into real-world applications. As a senior member of the team, you will not only build - you will help define and prove the way we deliver AI solutions to clients, setting the standards, patterns, and practices that the wider business will adopt. If you are excited by vibe coding, AI-assisted development, and the rapidly evolving world of LLMs and autonomous agents - and you want to actually build with these technologies rather than just talk about them - this role is for you. For the first 6-12 months this role will sit within the AI and Data Innovation team, where you will establish and prove a mature, repeatable pattern of AI-powered delivery. Once that model is proven, you will transition into the Delivery team, taking those patterns into mainstream client engagements and helping to scale them across the business. Responsibilities: Key Delivery Responsibilities Lead the design, development, and deployment of AI-integrated solutions for client engagements using modern full stack technologies. Integrate Azure AI services (Azure OpenAI, Cognitive Services, Azure ML, AI Search) into production applications. Architect and build LLM-powered features, agentic workflows, and MCP (Model Context Protocol) integrations to a production standard. Work directly with clients to understand requirements, shape solutions, and translate them into working software. Provide technical leadership across engagements, setting the standard for code quality, engineering rigour, and AI-assisted delivery. Contribute to technical research, prototyping, and proof-of-concept development to support client proposals and win new work. Shaping the Future Way of Working Define and prove a mature, repeatable pattern for delivering AI solutions that can be scaled across the Delivery team. Establish reusable tools, accelerators, and components that increase the speed and quality of AI delivery. Explore and evaluate emerging AI technologies, frameworks, and development approaches, bringing the best of them into practice. Champion the adoption of AI-assisted development practices (vibe coding, AI testing, agentic development) across the team and wider business. Mentor and upskill other developers, building AI delivery capability as the model transitions into the Delivery team. Help shape product and delivery strategy by identifying opportunities to package and position AI solutions. Required Skills and Experience Extensive full stack development experience across one or more of: React/Node.js, .NET/C#, Python/FastAPI. Proven track record of delivering production software on client-facing projects, ideally within a consultancy or professional services environment. Experience with prompt engineering, RAG architectures, or agentic AI development at scale. Familiarity with AI-assisted development tools such as GitHub Copilot, Claude, and Cursor. Strong hands-on experience with Azure cloud services and CI/CD pipelines (Azure DevOps). Demonstrable experience integrating LLMs and building AI-powered features in real-world applications. Ability to provide technical leadership - setting standards, mentoring others, and defining ways of working. Strong problem-solving mindset with a high bar for code quality and engineering rigour. Excellent communication and stakeholder management skills - able to explain technical concepts to non-technical audiences and build client confidence. Comfortable working autonomously and shaping ambiguity into repeatable, scalable delivery. Advantageous Azure AI Engineer certification or equivalent practical experience. Understanding of MCP, vector databases, and evaluation/testing approaches for AI systems. Experience mentoring or leading small development teams. Why BCN? Competitive salary with the ability to progress. 23-days holiday allowance, increasing with length of service, plus bank holidays, an extra day off on your birthday and the option to buy more! Company pension scheme. 2 paid leave days per year to volunteer and support your local community - if it matters to you it matters to us. Health cash plan with free access to a confidential Employee Assistance Programme (EAP) supporting bereavement, financial, health and wellbeing, and much more. Life assurance. Cycle to work scheme, electric vehicle scheme, home and tech scheme, and retail discounts. Balancing work, life, and fitness can be challenging, so we offer a free on-site gym at our Manchester and Leeds locations to make it easier to stay active. Long service recognition to celebrate all the milestones. Beer (or soft drinks) and Pizza days, dress down every day, social events such as Summer BBQ, Christmas party and lots more!
25/07/2026
Full time
About BCN: At BCN we unite people and technology to enable organisations to fly. We believe people and organisations can achieve anything using technology to its full potential. Our role is to help them understand what is possible, implement in the right way and utilise their technology to achieve their ambitions. Which is why we put people front and centre - building client relationships for life and fostering a culture where our people thrive. We are a leading managed IT services provider and technology consultant, specialising in delivering transformative technology solutions with industry-leading client experience across business, public sector and not for profit organisations. From cloud computing, cybersecurity, and data management to power app development, we are dedicated to pioneering technology with Microsoft innovation. Guided by our 3 values of building relationships, customer success and passion and dedication, we are on a mission to make BCN the most trusted tech partner in the UK today. The kind of company clients want to work with, and people want to work for. We are delighted you are on this journey with us! Focus of the role: This role is for an experienced, hands-on senior developer who wants to be at the forefront of AI-powered software development. You will work predominantly on customer projects, designing and delivering production-grade solutions that integrate large language models, agentic systems, and Azure AI services into real-world applications. As a senior member of the team, you will not only build - you will help define and prove the way we deliver AI solutions to clients, setting the standards, patterns, and practices that the wider business will adopt. If you are excited by vibe coding, AI-assisted development, and the rapidly evolving world of LLMs and autonomous agents - and you want to actually build with these technologies rather than just talk about them - this role is for you. For the first 6-12 months this role will sit within the AI and Data Innovation team, where you will establish and prove a mature, repeatable pattern of AI-powered delivery. Once that model is proven, you will transition into the Delivery team, taking those patterns into mainstream client engagements and helping to scale them across the business. Responsibilities: Key Delivery Responsibilities Lead the design, development, and deployment of AI-integrated solutions for client engagements using modern full stack technologies. Integrate Azure AI services (Azure OpenAI, Cognitive Services, Azure ML, AI Search) into production applications. Architect and build LLM-powered features, agentic workflows, and MCP (Model Context Protocol) integrations to a production standard. Work directly with clients to understand requirements, shape solutions, and translate them into working software. Provide technical leadership across engagements, setting the standard for code quality, engineering rigour, and AI-assisted delivery. Contribute to technical research, prototyping, and proof-of-concept development to support client proposals and win new work. Shaping the Future Way of Working Define and prove a mature, repeatable pattern for delivering AI solutions that can be scaled across the Delivery team. Establish reusable tools, accelerators, and components that increase the speed and quality of AI delivery. Explore and evaluate emerging AI technologies, frameworks, and development approaches, bringing the best of them into practice. Champion the adoption of AI-assisted development practices (vibe coding, AI testing, agentic development) across the team and wider business. Mentor and upskill other developers, building AI delivery capability as the model transitions into the Delivery team. Help shape product and delivery strategy by identifying opportunities to package and position AI solutions. Required Skills and Experience Extensive full stack development experience across one or more of: React/Node.js, .NET/C#, Python/FastAPI. Proven track record of delivering production software on client-facing projects, ideally within a consultancy or professional services environment. Experience with prompt engineering, RAG architectures, or agentic AI development at scale. Familiarity with AI-assisted development tools such as GitHub Copilot, Claude, and Cursor. Strong hands-on experience with Azure cloud services and CI/CD pipelines (Azure DevOps). Demonstrable experience integrating LLMs and building AI-powered features in real-world applications. Ability to provide technical leadership - setting standards, mentoring others, and defining ways of working. Strong problem-solving mindset with a high bar for code quality and engineering rigour. Excellent communication and stakeholder management skills - able to explain technical concepts to non-technical audiences and build client confidence. Comfortable working autonomously and shaping ambiguity into repeatable, scalable delivery. Advantageous Azure AI Engineer certification or equivalent practical experience. Understanding of MCP, vector databases, and evaluation/testing approaches for AI systems. Experience mentoring or leading small development teams. Why BCN? Competitive salary with the ability to progress. 23-days holiday allowance, increasing with length of service, plus bank holidays, an extra day off on your birthday and the option to buy more! Company pension scheme. 2 paid leave days per year to volunteer and support your local community - if it matters to you it matters to us. Health cash plan with free access to a confidential Employee Assistance Programme (EAP) supporting bereavement, financial, health and wellbeing, and much more. Life assurance. Cycle to work scheme, electric vehicle scheme, home and tech scheme, and retail discounts. Balancing work, life, and fitness can be challenging, so we offer a free on-site gym at our Manchester and Leeds locations to make it easier to stay active. Long service recognition to celebrate all the milestones. Beer (or soft drinks) and Pizza days, dress down every day, social events such as Summer BBQ, Christmas party and lots more!
About Us At Oakland, we help businesses unlock the power of their data. Whetherits data strategy, governance, engineering, analytics, or AI, we work with our clients to turn data into real, impactful results. Our team is made up of friendly, hands on experts who love solving problems and making a difference. We don't just advise, we roll up our sleeves and get stuck in, working alongside our clients every step of the way. Founded in 1986 out of our Leeds HQ, we work with a diverse range of clients across all sorts of industries including Utilities, Telecommunications, Media, Financial Services, Public Sector, and many more! Our projects range from multi year data transformations to specific, shorter term assignments, so you'll have plenty of opportunities to diversify your skillset. We meet high standards for social and environmental impact, transparency, and accountability. We believe businesses should be a force for good, so we make sure our decisions don't just benefit the bottom line but also our people, communities, and the planet. And it's not just us saying we're a great place to work we were recently named a Top 5 Best Consultancy to work for in the UK through Best Companies! We're all about creating an environment where people can grow, do meaningful work, and enjoy the journey. In April 2025, Oakland was acquired by Softcat, a leading provider of IT infrastructure services to corporate and public sectors. By combining Oakland's deep expertise in data and AI consulting with Softcat's extensive portfolio and market presence, we can deliver unparalleled value and innovation to our clients. This partnership marks a significant milestone in our journey, and we're looking forward to achieving great things together. The role: As a tech-agnostic consultancy, Engineers at Oakland have a broad skillset. You'll be a programmer at heart and have the ability to pick up new tools and techniques quickly. No two projects are the same, which means we encourage our Engineers to become technology polyglots and to find the best solution for our client's problems, which may not always be the most familiar to you. Our work includes data platform implementations, business intelligence, web applications, AI solutions, and much more, so you'll have the opportunity here to become a well rounded technologist in a talented community of 25+ Engineers. We expect you to have: Proficiency with SQL, Python, and at least one other programming language e.g. C#, C++, JavaScript, TypeScript etc. Experience working in cloud based environments e.g. AWS, Azure, GCP It would be nice to have any of the below: Experience working with modern data platforms e.g. Fabric, Snowflake, Databricks. Front end software engineering - web applications with React (or similar frameworks) Familiar with DevOps practices - including IaC and CI/CD, and tools such as Docker, Terraform, or Kubernetes AI Engineering and architecture - GenAI, LLMs, RAG, Agentic solutions, Prompt Engineering Certifications (Desirable) Azure certifications such as DP 750, DP 700, or AI focused exams such as AI 901, AI 103 Snowflake SnowProCore Equivalent certifications in cloud, data, AI, or software engineering technologies. Blended Working: We operate a blended working model, with colleagues spending at least two days per week in the office, aligned to project team requirements. Occasional travel to client sites may also be required. This balance helps us stay connected, learn from each other, and build strong relationships - both within our team and with the businesses we support. Benefits That Put You First At Oakland, we believe in taking care of our people, both inside and outside of work. Here's what you can expect when you join us: Health & Wellbeing - Enjoy Private Healthcare from day one for you and your household, including dental cover, physiotherapy, mental health support, and access to a range of wellbeing services to keep you feeling your best. Discretionary Bonus - Your hard work won't go unnoticed. When we do well, you'll do well. Generous Pension - We invest in your future with a 10% employer contribution, plus flexible options so you can adjust to your investment preferences. Giving Back - Support causes you care about with our Payroll Giving Scheme and Matched Charitable Giving program. Bike to Work Scheme - Save money, stay active, and enjoy tax savings on a new bike. Family Friendly Policies - We support all paths to parenthood with: Enhanced Maternity Pay - 16 weeks full pay, 10 weeks half pay. Enhanced Paternity Pay - 2 weeks full pay, 2 weeks half pay. Adoption, Surrogacy & Shared Parental Leave. Fertility Treatment Support - Because your family matters. Time to Recharge - 25 days annual leave + bank holidays (and your allowance grows the longer you're with us!). Learning & Development - We invest in you with: Personalised development plans tailored to your goals. Full support for certifications. Access to The Oakland Academy for a suite of learning materials. An annual Personal Learning Budget to upskill in ways that matter to you. Refer & Earn - Know someone great? If they join us, you'll get a referral bonus as a thank you. Diversity, Equity, Inclusion & Belonging at Oakland At Oakland, we believe that diverse perspectives drive better outcomes - or our people, our clients, and our business. Our commitment to DEIB isn't just about policies; it's about creating a workplace where everyone feels heard, valued, and empowered to thrive. We are building a truly inclusive Oakland where you can be yourself - no matter your background, gender, age, race, ethnicity, disability, sexual orientation, or any other characteristic that makes you, you. Fair & Inclusive Hiring Every interviewer completes recruitment and unconscious bias training, and our hiring process is skills based and structured to ensure fairness and consistency for all candidates. Support Throughout the Interview Process If you require any reasonable accommodations to make your interview experience more accessible, our Talent team is here to help - just let us know.
24/07/2026
Full time
About Us At Oakland, we help businesses unlock the power of their data. Whetherits data strategy, governance, engineering, analytics, or AI, we work with our clients to turn data into real, impactful results. Our team is made up of friendly, hands on experts who love solving problems and making a difference. We don't just advise, we roll up our sleeves and get stuck in, working alongside our clients every step of the way. Founded in 1986 out of our Leeds HQ, we work with a diverse range of clients across all sorts of industries including Utilities, Telecommunications, Media, Financial Services, Public Sector, and many more! Our projects range from multi year data transformations to specific, shorter term assignments, so you'll have plenty of opportunities to diversify your skillset. We meet high standards for social and environmental impact, transparency, and accountability. We believe businesses should be a force for good, so we make sure our decisions don't just benefit the bottom line but also our people, communities, and the planet. And it's not just us saying we're a great place to work we were recently named a Top 5 Best Consultancy to work for in the UK through Best Companies! We're all about creating an environment where people can grow, do meaningful work, and enjoy the journey. In April 2025, Oakland was acquired by Softcat, a leading provider of IT infrastructure services to corporate and public sectors. By combining Oakland's deep expertise in data and AI consulting with Softcat's extensive portfolio and market presence, we can deliver unparalleled value and innovation to our clients. This partnership marks a significant milestone in our journey, and we're looking forward to achieving great things together. The role: As a tech-agnostic consultancy, Engineers at Oakland have a broad skillset. You'll be a programmer at heart and have the ability to pick up new tools and techniques quickly. No two projects are the same, which means we encourage our Engineers to become technology polyglots and to find the best solution for our client's problems, which may not always be the most familiar to you. Our work includes data platform implementations, business intelligence, web applications, AI solutions, and much more, so you'll have the opportunity here to become a well rounded technologist in a talented community of 25+ Engineers. We expect you to have: Proficiency with SQL, Python, and at least one other programming language e.g. C#, C++, JavaScript, TypeScript etc. Experience working in cloud based environments e.g. AWS, Azure, GCP It would be nice to have any of the below: Experience working with modern data platforms e.g. Fabric, Snowflake, Databricks. Front end software engineering - web applications with React (or similar frameworks) Familiar with DevOps practices - including IaC and CI/CD, and tools such as Docker, Terraform, or Kubernetes AI Engineering and architecture - GenAI, LLMs, RAG, Agentic solutions, Prompt Engineering Certifications (Desirable) Azure certifications such as DP 750, DP 700, or AI focused exams such as AI 901, AI 103 Snowflake SnowProCore Equivalent certifications in cloud, data, AI, or software engineering technologies. Blended Working: We operate a blended working model, with colleagues spending at least two days per week in the office, aligned to project team requirements. Occasional travel to client sites may also be required. This balance helps us stay connected, learn from each other, and build strong relationships - both within our team and with the businesses we support. Benefits That Put You First At Oakland, we believe in taking care of our people, both inside and outside of work. Here's what you can expect when you join us: Health & Wellbeing - Enjoy Private Healthcare from day one for you and your household, including dental cover, physiotherapy, mental health support, and access to a range of wellbeing services to keep you feeling your best. Discretionary Bonus - Your hard work won't go unnoticed. When we do well, you'll do well. Generous Pension - We invest in your future with a 10% employer contribution, plus flexible options so you can adjust to your investment preferences. Giving Back - Support causes you care about with our Payroll Giving Scheme and Matched Charitable Giving program. Bike to Work Scheme - Save money, stay active, and enjoy tax savings on a new bike. Family Friendly Policies - We support all paths to parenthood with: Enhanced Maternity Pay - 16 weeks full pay, 10 weeks half pay. Enhanced Paternity Pay - 2 weeks full pay, 2 weeks half pay. Adoption, Surrogacy & Shared Parental Leave. Fertility Treatment Support - Because your family matters. Time to Recharge - 25 days annual leave + bank holidays (and your allowance grows the longer you're with us!). Learning & Development - We invest in you with: Personalised development plans tailored to your goals. Full support for certifications. Access to The Oakland Academy for a suite of learning materials. An annual Personal Learning Budget to upskill in ways that matter to you. Refer & Earn - Know someone great? If they join us, you'll get a referral bonus as a thank you. Diversity, Equity, Inclusion & Belonging at Oakland At Oakland, we believe that diverse perspectives drive better outcomes - or our people, our clients, and our business. Our commitment to DEIB isn't just about policies; it's about creating a workplace where everyone feels heard, valued, and empowered to thrive. We are building a truly inclusive Oakland where you can be yourself - no matter your background, gender, age, race, ethnicity, disability, sexual orientation, or any other characteristic that makes you, you. Fair & Inclusive Hiring Every interviewer completes recruitment and unconscious bias training, and our hiring process is skills based and structured to ensure fairness and consistency for all candidates. Support Throughout the Interview Process If you require any reasonable accommodations to make your interview experience more accessible, our Talent team is here to help - just let us know.
About Us At Oakland, we help businesses unlock the power of their data. Whether it's data strategy, governance, engineering, analytics, or AI, we work with our clients to turn data into real, impactful results. Our team is made up of friendly, hands on experts who love solving problems and making a difference. We don't just advise, we roll up our sleeves and get stuck in, working alongside our clients every step of the way. Founded in 1986 out of our Leeds HQ, we work with a diverse range of clients across all sorts of industries including Utilities, Telecommunications, Media, Financial Services, Public Sector, and many more! Our projects range from multi year data transformations to specific, shorter term assignments, so you'll have plenty of opportunities to diversify your skillset. We meet high standards for social and environmental impact, transparency, and accountability. We believe businesses should be a force for good, so we make sure our decisions don't just benefit the bottom line but also our people, communities, and the planet. And it's not just us saying we're a great place to work we were recently named a Top 5 Best Consultancy to work for in the UK through Best Companies! We're all about creating an environment where people can grow, do meaningful work, and enjoy the journey. In April 2025, Oakland was acquired by Softcat, a leading provider of IT infrastructure services to corporate and public sectors. By combining Oakland's deep expertise in data and AI consulting with Softcat's extensive portfolio and market presence, we can deliver unparalleled value and innovation to our clients. This partnership marks a significant milestone in our journey, and we're looking forward to achieving great things together. The Role: As a senior data engineer in this tech agnostic consultancy, you will develop broad and adaptable skillsets. You'll remain hands on while also providing technical leadership across projects, teams, and clients. You'll have the ability to quickly understand new technologies, evaluate their suitability, and guide teams toward pragmatic, scalable solutions. No two projects are the same, so we encourage our engineers to become technology polyglots and select the right tools for each client's needs. Alongside delivering high quality engineering outcomes, you'll play a key role in shaping technical direction, mentoring colleagues, contributing to solution architecture, and supporting client stakeholders through complex technical challenges. Our work spans data platform implementations, business intelligence, software engineering, AI solutions, and cloud transformation projects, giving you the opportunity to work across a wide range of technologies while being part of a talented community of 25+ engineers. We expect you to have: Strong proficiency with SQL, Python, and at least one additional programming language (e.g. C#, Java, JavaScript, TypeScript, C++). Significant experience designing, building, and supporting scalable engineering solutions. Experience working within cloud environments (Azure, AWS, or GCP). A strong understanding of engineering best practices, including testing, code quality, version control, and design patterns. Experience leading technical workstreams, owning technical decisions, and providing guidance to other engineers. The ability to work directly with clients to gather requirements, translate business needs into technical solutions, and communicate complex concepts to technical and non technical audiences. Experience in mentoring, coaching, and supporting the development of junior and mid level engineers. It would be nice to have any of the below: Experience designing and implementing modern data platforms using technologies such as Microsoft Fabric, Snowflake, Databricks, or similar. Experience with solution and/or data architecture. Front end software engineering experience, including building web applications with React (or similar frameworks). Strong DevOps and platform engineering experience, including Infrastructure as Code, CI/CD, observability, and tools such as Docker, Terraform, and Kubernetes. AI engineering and architecture experience, including GenAI, LLMs, RAG, agentic systems, and prompt engineering. Experience supporting pre sales activities, technical discovery workshops, estimations, and proposal creation. Certifications (Desirable): Azure certifications such as DP-700, DP-600, AZ-305, or AI focused certifications such as AI 900 and AI 103. Snowflake SnowPro Core or SnowPro Specialty or Advanced certifications. Equivalent certifications in cloud, data, AI, architecture, or software engineering technologies. Blended Working: We operate a blended working model, with colleagues spending at least two days per week in the office, aligned to project team requirements. Occasional travel to client sites may also be required. This balance helps us stay connected, learn from each other, and build strong relationships - both within our team and with the businesses we support. Benefits That Put You First: Health & Wellbeing - Enjoy private healthcare from day one for you and your household, including dental cover, physiotherapy, mental health support, and access to a range of wellbeing services to keep you feeling your best. Discretionary Bonus - Your hard work won't go unnoticed. When we do well, you'll do well. Generous Pension - We invest in your future with a 10% employer contribution, plus flexible options so you can adjust to your investment preferences. Giving Back - Support causes you care about with our payroll giving scheme and matched charitable giving program. Bike to Work Scheme - Save money, stay active, and enjoy tax savings on a new bike. Family Friendly Policies - We support all paths to parenthood with: Enhanced Maternity Pay - 16 weeks full pay, 10 weeks half pay. Enhanced Paternity Pay - 2 weeks full pay, 2 weeks half pay. Adoption, Surrogacy & Shared Parental Leave. Fertility Treatment Support - Because your family matters. Time to Recharge - 25 days annual leave plus bank holidays (and your allowance grows the longer you're with us!). Learning & Development - We invest in you with: Personalised development plans tailored to your goals. Full support for certifications. Access to The Oakland Academy for a suite of learning materials. An annual personal learning budget to upskill in ways that matter to you. Refer & Earn - Know someone great? If they join us, you'll get a referral bonus as a thank you. Diversity, Equity, Inclusion & Belonging at Oakland: At Oakland, we believe that diverse perspectives drive better outcomes - not just for our people, but our clients and our business. Our commitment to DEIB is not just about policies; it's about creating a workplace where everyone feels heard, valued, and empowered to thrive. We are building a truly inclusive Oakland where you can be yourself - no matter your background, gender, age, race, ethnicity, disability, sexual orientation, or any other characteristic that makes you, you. Fair & Inclusive Hiring: Every interviewer completes recruitment and unconscious bias training, and our hiring process is skills based and structured to ensure fairness and consistency for all candidates. Support Throughout the Interview Process: If you require any reasonable accommodations to make your interview experience more accessible, our Talent team is here to help - just let us know.
24/07/2026
Full time
About Us At Oakland, we help businesses unlock the power of their data. Whether it's data strategy, governance, engineering, analytics, or AI, we work with our clients to turn data into real, impactful results. Our team is made up of friendly, hands on experts who love solving problems and making a difference. We don't just advise, we roll up our sleeves and get stuck in, working alongside our clients every step of the way. Founded in 1986 out of our Leeds HQ, we work with a diverse range of clients across all sorts of industries including Utilities, Telecommunications, Media, Financial Services, Public Sector, and many more! Our projects range from multi year data transformations to specific, shorter term assignments, so you'll have plenty of opportunities to diversify your skillset. We meet high standards for social and environmental impact, transparency, and accountability. We believe businesses should be a force for good, so we make sure our decisions don't just benefit the bottom line but also our people, communities, and the planet. And it's not just us saying we're a great place to work we were recently named a Top 5 Best Consultancy to work for in the UK through Best Companies! We're all about creating an environment where people can grow, do meaningful work, and enjoy the journey. In April 2025, Oakland was acquired by Softcat, a leading provider of IT infrastructure services to corporate and public sectors. By combining Oakland's deep expertise in data and AI consulting with Softcat's extensive portfolio and market presence, we can deliver unparalleled value and innovation to our clients. This partnership marks a significant milestone in our journey, and we're looking forward to achieving great things together. The Role: As a senior data engineer in this tech agnostic consultancy, you will develop broad and adaptable skillsets. You'll remain hands on while also providing technical leadership across projects, teams, and clients. You'll have the ability to quickly understand new technologies, evaluate their suitability, and guide teams toward pragmatic, scalable solutions. No two projects are the same, so we encourage our engineers to become technology polyglots and select the right tools for each client's needs. Alongside delivering high quality engineering outcomes, you'll play a key role in shaping technical direction, mentoring colleagues, contributing to solution architecture, and supporting client stakeholders through complex technical challenges. Our work spans data platform implementations, business intelligence, software engineering, AI solutions, and cloud transformation projects, giving you the opportunity to work across a wide range of technologies while being part of a talented community of 25+ engineers. We expect you to have: Strong proficiency with SQL, Python, and at least one additional programming language (e.g. C#, Java, JavaScript, TypeScript, C++). Significant experience designing, building, and supporting scalable engineering solutions. Experience working within cloud environments (Azure, AWS, or GCP). A strong understanding of engineering best practices, including testing, code quality, version control, and design patterns. Experience leading technical workstreams, owning technical decisions, and providing guidance to other engineers. The ability to work directly with clients to gather requirements, translate business needs into technical solutions, and communicate complex concepts to technical and non technical audiences. Experience in mentoring, coaching, and supporting the development of junior and mid level engineers. It would be nice to have any of the below: Experience designing and implementing modern data platforms using technologies such as Microsoft Fabric, Snowflake, Databricks, or similar. Experience with solution and/or data architecture. Front end software engineering experience, including building web applications with React (or similar frameworks). Strong DevOps and platform engineering experience, including Infrastructure as Code, CI/CD, observability, and tools such as Docker, Terraform, and Kubernetes. AI engineering and architecture experience, including GenAI, LLMs, RAG, agentic systems, and prompt engineering. Experience supporting pre sales activities, technical discovery workshops, estimations, and proposal creation. Certifications (Desirable): Azure certifications such as DP-700, DP-600, AZ-305, or AI focused certifications such as AI 900 and AI 103. Snowflake SnowPro Core or SnowPro Specialty or Advanced certifications. Equivalent certifications in cloud, data, AI, architecture, or software engineering technologies. Blended Working: We operate a blended working model, with colleagues spending at least two days per week in the office, aligned to project team requirements. Occasional travel to client sites may also be required. This balance helps us stay connected, learn from each other, and build strong relationships - both within our team and with the businesses we support. Benefits That Put You First: Health & Wellbeing - Enjoy private healthcare from day one for you and your household, including dental cover, physiotherapy, mental health support, and access to a range of wellbeing services to keep you feeling your best. Discretionary Bonus - Your hard work won't go unnoticed. When we do well, you'll do well. Generous Pension - We invest in your future with a 10% employer contribution, plus flexible options so you can adjust to your investment preferences. Giving Back - Support causes you care about with our payroll giving scheme and matched charitable giving program. Bike to Work Scheme - Save money, stay active, and enjoy tax savings on a new bike. Family Friendly Policies - We support all paths to parenthood with: Enhanced Maternity Pay - 16 weeks full pay, 10 weeks half pay. Enhanced Paternity Pay - 2 weeks full pay, 2 weeks half pay. Adoption, Surrogacy & Shared Parental Leave. Fertility Treatment Support - Because your family matters. Time to Recharge - 25 days annual leave plus bank holidays (and your allowance grows the longer you're with us!). Learning & Development - We invest in you with: Personalised development plans tailored to your goals. Full support for certifications. Access to The Oakland Academy for a suite of learning materials. An annual personal learning budget to upskill in ways that matter to you. Refer & Earn - Know someone great? If they join us, you'll get a referral bonus as a thank you. Diversity, Equity, Inclusion & Belonging at Oakland: At Oakland, we believe that diverse perspectives drive better outcomes - not just for our people, but our clients and our business. Our commitment to DEIB is not just about policies; it's about creating a workplace where everyone feels heard, valued, and empowered to thrive. We are building a truly inclusive Oakland where you can be yourself - no matter your background, gender, age, race, ethnicity, disability, sexual orientation, or any other characteristic that makes you, you. Fair & Inclusive Hiring: Every interviewer completes recruitment and unconscious bias training, and our hiring process is skills based and structured to ensure fairness and consistency for all candidates. Support Throughout the Interview Process: If you require any reasonable accommodations to make your interview experience more accessible, our Talent team is here to help - just let us know.
About Scrumconnect Consulting Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful and innovative technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. Overview We're looking for an AI Engineer to build the application-level AI capability inside a large-scale AI adoption programme for a central government department. Where the Machine Learning Engineer trains models and the MLOps Engineer runs the platform, you sit closest to the end product: turning LLMs, retrieval systems, and agentic workflows into working, usable features that integrate with the department's existing services. You'll work inside a collaborative "Rainbow Team" alongside civil servants, implementing the guardrails and standards set by the Lead AI Engineer and Lead Technical Architect. Key Responsibilities Build & Integrate Implement RAG pipelines, prompt templates, and agentic workflows, and wire them into application logic that connects with the department's Legacy and multi-cloud systems. Prompt Engineering & Evaluation Design, test, and iterate on prompts and retrieval strategies; run structured evaluations to track answer quality, retrieval accuracy, and hallucination rate over time. Responsible AI in Practice Implement the specific guardrails and human-in-the-loop checkpoints defined by the leads - this is an execution role, not a policy-setting one. Documentation & Handover Contribute to "Docs-as-Code" artifacts supporting the OKUA knowledge-transfer framework, so the features you build can be understood and maintained by internal government engineers. Required Skills & Experience Practical experience building applications using LLMs or other foundation models, via API or self-hosted Experience with RAG architectures, vector databases, and embedding-based retrieval Solid general-purpose programming (commonly Python) and API design/integration skills Prompt engineering with a systematic, evaluation-driven approach rather than trial and error Familiarity with agentic/orchestration frameworks and multi-step AI workflows Comfortable working within secure, regulated environments and handling sensitive data appropriately Desirable Experience Experience delivering digital services within UK central government or the wider public sector Familiarity with GOV.UK Service Standard expectations Exposure to open-source LLM tooling or communities Familiarity with AI/ML tooling on AWS, Azure, or GCP Location and Working Pattern Hybrid, based from Newcastle upon Tyne, with on-site attendance required for workshops, knowledge-transfer sessions, and onboarding. All production system and data access must be performed solely from within the UK. How We Work Our values: Collaboration, Create Value Early, Integrity, Commitment, and Diversity & Inclusion. We welcome applications from candidates of all backgrounds, including women, people with disabilities, and diverse communities, as well as those seeking flexible working arrangements. As a Disability Confident Level 1 employer, we provide reasonable adjustments throughout recruitment and employment. How to Apply Please submit your CV. Shortlisted candidates will be invited to interview. This role requires BPSS clearance - please flag in your application if you already hold clearance.
24/07/2026
Full time
About Scrumconnect Consulting Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful and innovative technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. Overview We're looking for an AI Engineer to build the application-level AI capability inside a large-scale AI adoption programme for a central government department. Where the Machine Learning Engineer trains models and the MLOps Engineer runs the platform, you sit closest to the end product: turning LLMs, retrieval systems, and agentic workflows into working, usable features that integrate with the department's existing services. You'll work inside a collaborative "Rainbow Team" alongside civil servants, implementing the guardrails and standards set by the Lead AI Engineer and Lead Technical Architect. Key Responsibilities Build & Integrate Implement RAG pipelines, prompt templates, and agentic workflows, and wire them into application logic that connects with the department's Legacy and multi-cloud systems. Prompt Engineering & Evaluation Design, test, and iterate on prompts and retrieval strategies; run structured evaluations to track answer quality, retrieval accuracy, and hallucination rate over time. Responsible AI in Practice Implement the specific guardrails and human-in-the-loop checkpoints defined by the leads - this is an execution role, not a policy-setting one. Documentation & Handover Contribute to "Docs-as-Code" artifacts supporting the OKUA knowledge-transfer framework, so the features you build can be understood and maintained by internal government engineers. Required Skills & Experience Practical experience building applications using LLMs or other foundation models, via API or self-hosted Experience with RAG architectures, vector databases, and embedding-based retrieval Solid general-purpose programming (commonly Python) and API design/integration skills Prompt engineering with a systematic, evaluation-driven approach rather than trial and error Familiarity with agentic/orchestration frameworks and multi-step AI workflows Comfortable working within secure, regulated environments and handling sensitive data appropriately Desirable Experience Experience delivering digital services within UK central government or the wider public sector Familiarity with GOV.UK Service Standard expectations Exposure to open-source LLM tooling or communities Familiarity with AI/ML tooling on AWS, Azure, or GCP Location and Working Pattern Hybrid, based from Newcastle upon Tyne, with on-site attendance required for workshops, knowledge-transfer sessions, and onboarding. All production system and data access must be performed solely from within the UK. How We Work Our values: Collaboration, Create Value Early, Integrity, Commitment, and Diversity & Inclusion. We welcome applications from candidates of all backgrounds, including women, people with disabilities, and diverse communities, as well as those seeking flexible working arrangements. As a Disability Confident Level 1 employer, we provide reasonable adjustments throughout recruitment and employment. How to Apply Please submit your CV. Shortlisted candidates will be invited to interview. This role requires BPSS clearance - please flag in your application if you already hold clearance.
About Scrumconnect Consulting Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful and innovative technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. We are passionate about user-centred design, agile delivery, and building digital services that make a real difference - and we're now scaling that expertise into large, high-stakes AI adoption programmes across the public sector. Overview We're looking for a Lead AI Engineer to be the hands-on technical builder at the core of a large-scale AI Operating Model programme for a central government department. Where the Lead Technical Architect sets direction, you turn it into working, production-grade systems - semantic search, RAG pipelines, and broader generative AI capability - integrated into complex Legacy and multi-cloud environments handling high-volume, sensitive public sector data. You'll work inside a collaborative "Rainbow Team" alongside civil servants and the wider delivery team, staying close to the code while also mentoring engineers and helping build the internal capability the department needs to eventually run these systems without long-term reliance on external suppliers. Key Responsibilities Hands-On Build & Delivery Design, build, and ship production AI components - RAG pipelines, retrieval and embedding infrastructure, orchestration logic, and integration layers - writing high-quality, tested, maintainable code and staying close to implementation rather than delegating it away. Technical Leadership Within the Squad Lead the engineering practice within your delivery team: set coding standards, review designs and pull requests, unblock technically complex problems, and mentor other engineers day to day. Responsible AI in Practice Implement the guardrails the Architect designs - bias mitigation checks, evaluation harnesses, human-in-the-loop review points - so that Responsible AI principles (ATRS alignment, NCSC "Secure by Design, " meaningful human control) are enforced in the running system, not just on paper. Reliability, Security & Observability Build AI services to be secure-by-default and observable in production: logging, monitoring, alerting, and rollback paths appropriate for sensitive public-sector data and high-availability requirements. Knowledge Transfer & Capability Uplift Work within the OKUA (Ownership, Knowledge, Understanding, Awareness) framework and "Docs-as-Code" practices to pair with and upskill internal government engineers, so capability genuinely transfers rather than staying locked in the consultancy team. Efficient, Sustainable Engineering Favour low-modality, resource-efficient designs where they meet the need - right-sizing models and infrastructure rather than defaulting to the largest/most expensive option - in line with the programme's Green AI and Net Zero commitments. Required Skills & Experience Loosely mapped to the Government Digital and Data (DDaT) framework, at Lead Engineer level: - Coding and Scripting (Expert) - writing production-grade, well-tested code; setting standards for others; comfortable owning components end-to-end. - Systems Design (Practitioner) - designing components that integrate cleanly into a wider, architect-defined system; understanding trade-offs across the stack. - Data Engineering (Practitioner) - building reliable pipelines to ingest, clean, and prepare data (including unstructured/Legacy sources) for AI consumption. - DevOps/Continuous Delivery (Practitioner) - CI/CD pipelines, infrastructure-as-code, and automated deployment for AI workloads specifically (not just conventional web services). - Testing & Evaluation (Practitioner) - beyond conventional unit/integration testing, building evaluation harnesses for AI system quality: retrieval accuracy, hallucination rate, bias/fairness checks. - Problem Solving (Practitioner) - diagnosing and resolving complex, ambiguous technical issues under production pressure. - Agile Working (Practitioner) - delivering iteratively within a blended, multidisciplinary team including civil servants. Given the scale of this programme, direct hands-on depth across the AI engineering stack is essential: - Strong general-purpose programming (most commonly Python) applied to AI/ML systems - Semantic search, vector/embedding infrastructure, and RAG pipeline construction - LLM orchestration and agentic frameworks (eg LangChain/LlamaIndex-style tooling, multi-agent patterns) - Prompt engineering and systematic evaluation/guardrail tooling (hallucination detection, safety testing) - LLMOps/MLOps - model versioning, deployment, monitoring, and rollback for AI services in production - Cloud-native engineering across major providers (AWS, Azure, or GCP), including their AI/ML tooling - Containerisation and infrastructure-as-code for repeatable, auditable deployments - Secure-by-design engineering appropriate to sensitive public-sector data Desirable Experience - AWS/Azure/GCP certifications (associate or professional level) - Prior delivery of AI or digital services within UK central government or wider public sector - Experience fine-tuning or adapting open-source/foundation models for a specific domain - Open-source contributions or active engagement in AI/ML engineering communities - Experience designing for sustainability/Green IT commitments - The technological capabilities can span a wide range of AI and automation tools, including Virtual Assistants, Robotic Process Automation (RPA), Computer Vision, Natural Language Processing (NLP), Machine Learning, Deep Learning, Generative AI, Frontier LLMs, and Predictive AI. A strong candidate would have experience/exposure to nuances of these tools/technologies. Location and Working Pattern Hybrid, based from Newcastle upon Tyne, with on-site attendance required for workshops, knowledge-transfer sessions, and onboarding. All production system and data access must be performed solely from within the UK. How We Work Our values: - Collaboration - we are stronger as a team than as individuals; we tackle problems and celebrate wins together. - Create Value Early - we find the quickest route from idea to product, because our clients rely on us to do what's best. - Integrity - teamwork requires trust; we can always be relied upon to uphold the highest standards. - Commitment - no matter what, no matter how, we give our 100% to keeping our promises and achieving our goals. - Diversity and Inclusion - we believe diversity drives innovation and better outcomes, and we're committed to an inclusive environment where every individual is valued, respected, and supported. We welcome applications from candidates of all backgrounds, including women, people with disabilities, and diverse communities, as well as those seeking flexible working arrangements. As a Disability Confident Level 1 employer, we provide reasonable adjustments throughout recruitment and employment to ensure equal opportunity for all. How to Apply Please submit your CV. Shortlisted candidates will be invited to interview. This role requires BPSS (Baseline Personnel Security Standard) clearance - please flag in your application if you already hold clearance.
24/07/2026
Full time
About Scrumconnect Consulting Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful and innovative technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. We are passionate about user-centred design, agile delivery, and building digital services that make a real difference - and we're now scaling that expertise into large, high-stakes AI adoption programmes across the public sector. Overview We're looking for a Lead AI Engineer to be the hands-on technical builder at the core of a large-scale AI Operating Model programme for a central government department. Where the Lead Technical Architect sets direction, you turn it into working, production-grade systems - semantic search, RAG pipelines, and broader generative AI capability - integrated into complex Legacy and multi-cloud environments handling high-volume, sensitive public sector data. You'll work inside a collaborative "Rainbow Team" alongside civil servants and the wider delivery team, staying close to the code while also mentoring engineers and helping build the internal capability the department needs to eventually run these systems without long-term reliance on external suppliers. Key Responsibilities Hands-On Build & Delivery Design, build, and ship production AI components - RAG pipelines, retrieval and embedding infrastructure, orchestration logic, and integration layers - writing high-quality, tested, maintainable code and staying close to implementation rather than delegating it away. Technical Leadership Within the Squad Lead the engineering practice within your delivery team: set coding standards, review designs and pull requests, unblock technically complex problems, and mentor other engineers day to day. Responsible AI in Practice Implement the guardrails the Architect designs - bias mitigation checks, evaluation harnesses, human-in-the-loop review points - so that Responsible AI principles (ATRS alignment, NCSC "Secure by Design, " meaningful human control) are enforced in the running system, not just on paper. Reliability, Security & Observability Build AI services to be secure-by-default and observable in production: logging, monitoring, alerting, and rollback paths appropriate for sensitive public-sector data and high-availability requirements. Knowledge Transfer & Capability Uplift Work within the OKUA (Ownership, Knowledge, Understanding, Awareness) framework and "Docs-as-Code" practices to pair with and upskill internal government engineers, so capability genuinely transfers rather than staying locked in the consultancy team. Efficient, Sustainable Engineering Favour low-modality, resource-efficient designs where they meet the need - right-sizing models and infrastructure rather than defaulting to the largest/most expensive option - in line with the programme's Green AI and Net Zero commitments. Required Skills & Experience Loosely mapped to the Government Digital and Data (DDaT) framework, at Lead Engineer level: - Coding and Scripting (Expert) - writing production-grade, well-tested code; setting standards for others; comfortable owning components end-to-end. - Systems Design (Practitioner) - designing components that integrate cleanly into a wider, architect-defined system; understanding trade-offs across the stack. - Data Engineering (Practitioner) - building reliable pipelines to ingest, clean, and prepare data (including unstructured/Legacy sources) for AI consumption. - DevOps/Continuous Delivery (Practitioner) - CI/CD pipelines, infrastructure-as-code, and automated deployment for AI workloads specifically (not just conventional web services). - Testing & Evaluation (Practitioner) - beyond conventional unit/integration testing, building evaluation harnesses for AI system quality: retrieval accuracy, hallucination rate, bias/fairness checks. - Problem Solving (Practitioner) - diagnosing and resolving complex, ambiguous technical issues under production pressure. - Agile Working (Practitioner) - delivering iteratively within a blended, multidisciplinary team including civil servants. Given the scale of this programme, direct hands-on depth across the AI engineering stack is essential: - Strong general-purpose programming (most commonly Python) applied to AI/ML systems - Semantic search, vector/embedding infrastructure, and RAG pipeline construction - LLM orchestration and agentic frameworks (eg LangChain/LlamaIndex-style tooling, multi-agent patterns) - Prompt engineering and systematic evaluation/guardrail tooling (hallucination detection, safety testing) - LLMOps/MLOps - model versioning, deployment, monitoring, and rollback for AI services in production - Cloud-native engineering across major providers (AWS, Azure, or GCP), including their AI/ML tooling - Containerisation and infrastructure-as-code for repeatable, auditable deployments - Secure-by-design engineering appropriate to sensitive public-sector data Desirable Experience - AWS/Azure/GCP certifications (associate or professional level) - Prior delivery of AI or digital services within UK central government or wider public sector - Experience fine-tuning or adapting open-source/foundation models for a specific domain - Open-source contributions or active engagement in AI/ML engineering communities - Experience designing for sustainability/Green IT commitments - The technological capabilities can span a wide range of AI and automation tools, including Virtual Assistants, Robotic Process Automation (RPA), Computer Vision, Natural Language Processing (NLP), Machine Learning, Deep Learning, Generative AI, Frontier LLMs, and Predictive AI. A strong candidate would have experience/exposure to nuances of these tools/technologies. Location and Working Pattern Hybrid, based from Newcastle upon Tyne, with on-site attendance required for workshops, knowledge-transfer sessions, and onboarding. All production system and data access must be performed solely from within the UK. How We Work Our values: - Collaboration - we are stronger as a team than as individuals; we tackle problems and celebrate wins together. - Create Value Early - we find the quickest route from idea to product, because our clients rely on us to do what's best. - Integrity - teamwork requires trust; we can always be relied upon to uphold the highest standards. - Commitment - no matter what, no matter how, we give our 100% to keeping our promises and achieving our goals. - Diversity and Inclusion - we believe diversity drives innovation and better outcomes, and we're committed to an inclusive environment where every individual is valued, respected, and supported. We welcome applications from candidates of all backgrounds, including women, people with disabilities, and diverse communities, as well as those seeking flexible working arrangements. As a Disability Confident Level 1 employer, we provide reasonable adjustments throughout recruitment and employment to ensure equal opportunity for all. How to Apply Please submit your CV. Shortlisted candidates will be invited to interview. This role requires BPSS (Baseline Personnel Security Standard) clearance - please flag in your application if you already hold clearance.
Newcastle upon Tyne, United Kingdom Posted on 17/07/2026 Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful and innovative technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. Overview We're looking for an AI Engineer to build the application-level AI capability inside a large-scale AI adoption programme for a central government department. Where the Machine Learning Engineer trains models and the MLOps Engineer runs the platform, you sit closest to the end product: turning LLMs, retrieval systems, and agentic workflows into working, usable features that integrate with the department's existing services. You'll work inside a collaborative "Rainbow Team" alongside civil servants, implementing the guardrails and standards set by the Lead AI Engineer and Lead Technical Architect. Key Responsibilities Build & Integrate Implement RAG pipelines, prompt templates, and agentic workflows, and wire them into application logic that connects with the department's legacy and multi-cloud systems. Prompt Engineering & Evaluation Design, test, and iterate on prompts and retrieval strategies; run structured evaluations to track answer quality, retrieval accuracy, and hallucination rate over time. Responsible AI in Practice Implement the specific guardrails and human-in-the-loop checkpoints defined by the leads - this is an execution role, not a policy-setting one. Documentation & Handover Contribute to "Docs-as-Code" artifacts supporting the OKUA knowledge-transfer framework, so the features you build can be understood and maintained by internal government engineers. Required Skills & Experience Practical experience building applications using LLMs or other foundation models, via API or self-hosted Experience with RAG architectures, vector databases, and embedding-based retrieval Solid general-purpose programming (commonly Python) and API design/integration skills Prompt engineering with a systematic, evaluation-driven approach rather than trial and error Familiarity with agentic/orchestration frameworks and multi-step AI workflows Comfortable working within secure, regulated environments and handling sensitive data appropriately Experience delivering digital services within UK central government or the wider public sector Familiarity with GOV.UK Service Standard expectations Exposure to open-source LLM tooling or communities Familiarity with AI/ML tooling on AWS, Azure, or GCP Location and Working Pattern Hybrid, based from Newcastle upon Tyne, with on-site attendance required for workshops, knowledge-transfer sessions, and onboarding. All production system and data access must be performed solely from within the UK. How We Work Our values: Collaboration, Create Value Early, Integrity, Commitment, and Diversity & Inclusion. We welcome applications from candidates of all backgrounds, including women, people with disabilities, and diverse communities, as well as those seeking flexible working arrangements. As a Disability Confident Level 1 employer, we provide reasonable adjustments throughout recruitment and employment. How to Apply Please submit your CV. Shortlisted candidates will be invited to interview. This role requires BPSS clearance - please flag in your application if you already hold clearance.
24/07/2026
Full time
Newcastle upon Tyne, United Kingdom Posted on 17/07/2026 Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful and innovative technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. Overview We're looking for an AI Engineer to build the application-level AI capability inside a large-scale AI adoption programme for a central government department. Where the Machine Learning Engineer trains models and the MLOps Engineer runs the platform, you sit closest to the end product: turning LLMs, retrieval systems, and agentic workflows into working, usable features that integrate with the department's existing services. You'll work inside a collaborative "Rainbow Team" alongside civil servants, implementing the guardrails and standards set by the Lead AI Engineer and Lead Technical Architect. Key Responsibilities Build & Integrate Implement RAG pipelines, prompt templates, and agentic workflows, and wire them into application logic that connects with the department's legacy and multi-cloud systems. Prompt Engineering & Evaluation Design, test, and iterate on prompts and retrieval strategies; run structured evaluations to track answer quality, retrieval accuracy, and hallucination rate over time. Responsible AI in Practice Implement the specific guardrails and human-in-the-loop checkpoints defined by the leads - this is an execution role, not a policy-setting one. Documentation & Handover Contribute to "Docs-as-Code" artifacts supporting the OKUA knowledge-transfer framework, so the features you build can be understood and maintained by internal government engineers. Required Skills & Experience Practical experience building applications using LLMs or other foundation models, via API or self-hosted Experience with RAG architectures, vector databases, and embedding-based retrieval Solid general-purpose programming (commonly Python) and API design/integration skills Prompt engineering with a systematic, evaluation-driven approach rather than trial and error Familiarity with agentic/orchestration frameworks and multi-step AI workflows Comfortable working within secure, regulated environments and handling sensitive data appropriately Experience delivering digital services within UK central government or the wider public sector Familiarity with GOV.UK Service Standard expectations Exposure to open-source LLM tooling or communities Familiarity with AI/ML tooling on AWS, Azure, or GCP Location and Working Pattern Hybrid, based from Newcastle upon Tyne, with on-site attendance required for workshops, knowledge-transfer sessions, and onboarding. All production system and data access must be performed solely from within the UK. How We Work Our values: Collaboration, Create Value Early, Integrity, Commitment, and Diversity & Inclusion. We welcome applications from candidates of all backgrounds, including women, people with disabilities, and diverse communities, as well as those seeking flexible working arrangements. As a Disability Confident Level 1 employer, we provide reasonable adjustments throughout recruitment and employment. How to Apply Please submit your CV. Shortlisted candidates will be invited to interview. This role requires BPSS clearance - please flag in your application if you already hold clearance.
Senior MLOps Engineer - AI Consultancy Manchester £65k-£80k + Equity + Benefits We're hiring a Senior MLOps Engineer to join a fast-growing AI consultancy based in Manchester City Centre (3 days on-site). You'll take ownership of production ML systems and help shape how models are deployed, scaled, and maintained for clients. What you'll be doing Leading deployment and scaling of ML systems for client projects Working closely with Data Scientists and ML Engineers in a collaborative, pair-programming environment Owning features end-to-end, from design through to production support Participating in sprint planning and architectural decision-making Improving best practices around experiment tracking, model versioning, and monitoring What we're looking for 3+ years' experience in Data Science, Machine Learning, Data Engineering, or Software Engineering roles Strong production Python experience Hands on experience training and serving ML models Familiarity with PyTorch, TensorFlow, or scikit learn Strong working knowledge of Docker, Linux, Git, and cloud platforms (AWS, Azure, or similar) Experience deploying systems you've helped design Excellent communication skills Eligible for SC clearance Nice to have Practical MLOps experience in live environments Kubernetes and IaC Experience with LLM or agent based systems Open source contributions or technical writing Perks £65k-£80k salary EMI share scheme Personal L&D budget 25 days holiday (rising to 30) Pension
23/07/2026
Full time
Senior MLOps Engineer - AI Consultancy Manchester £65k-£80k + Equity + Benefits We're hiring a Senior MLOps Engineer to join a fast-growing AI consultancy based in Manchester City Centre (3 days on-site). You'll take ownership of production ML systems and help shape how models are deployed, scaled, and maintained for clients. What you'll be doing Leading deployment and scaling of ML systems for client projects Working closely with Data Scientists and ML Engineers in a collaborative, pair-programming environment Owning features end-to-end, from design through to production support Participating in sprint planning and architectural decision-making Improving best practices around experiment tracking, model versioning, and monitoring What we're looking for 3+ years' experience in Data Science, Machine Learning, Data Engineering, or Software Engineering roles Strong production Python experience Hands on experience training and serving ML models Familiarity with PyTorch, TensorFlow, or scikit learn Strong working knowledge of Docker, Linux, Git, and cloud platforms (AWS, Azure, or similar) Experience deploying systems you've helped design Excellent communication skills Eligible for SC clearance Nice to have Practical MLOps experience in live environments Kubernetes and IaC Experience with LLM or agent based systems Open source contributions or technical writing Perks £65k-£80k salary EMI share scheme Personal L&D budget 25 days holiday (rising to 30) Pension
