A major financial institution is seeking a Senior AWS Data Platform Developer in Glasgow. This role involves building a sustainable data platform infrastructure and ensuring seamlessly integrated software solutions. The ideal candidate will have strong proficiency in Python or Scala, experience with AWS services and frameworks such as Apache Spark. A collaborative mindset and commitment to high-quality coding practices are vital for this position. Join a tech-savvy team during a transformative period in our engineering practices.
Apr 10, 2026
Full time
A major financial institution is seeking a Senior AWS Data Platform Developer in Glasgow. This role involves building a sustainable data platform infrastructure and ensuring seamlessly integrated software solutions. The ideal candidate will have strong proficiency in Python or Scala, experience with AWS services and frameworks such as Apache Spark. A collaborative mindset and commitment to high-quality coding practices are vital for this position. Join a tech-savvy team during a transformative period in our engineering practices.
eDV Site Reliability Engineer x2 roles Cheltenham (Hybrid - 3-4 days onsite) Contract (Outside IR35) or Permanent £500-£650 per day (contract) Competitive perm salary Active DV clearance required - Intelligence Overview We're looking for an experienced Site Reliability Engineer to support and scale mission critical platforms used across high profile government environments. Key Responsibilities Improve reliability and performance across multiple services Automate operational tasks and reduce alert noise Enhance monitoring and observability to prevent incidents Support development and test environments Contribute to infrastructure, CI/CD, and platform improvements Participate in an on call rota when required Essential Skills Terraform and infrastructure automation (Ansible/Chef or similar) Containers & orchestration (Docker, Kubernetes, OpenShift, etc.) CI/CD tooling (Jenkins or similar) Monitoring & observability (Prometheus, Grafana, InfluxDB) Messaging systems (RabbitMQ / AMQP) Linux administration & scripting AWS experience (EC2, RDS, S3, Lambda) Strong understanding of networking and security fundamentals Nice to Have Coding experience (Java, Go, Python) Secure or cross domain system experience Service management or operations background Azure exposure
Apr 10, 2026
Full time
eDV Site Reliability Engineer x2 roles Cheltenham (Hybrid - 3-4 days onsite) Contract (Outside IR35) or Permanent £500-£650 per day (contract) Competitive perm salary Active DV clearance required - Intelligence Overview We're looking for an experienced Site Reliability Engineer to support and scale mission critical platforms used across high profile government environments. Key Responsibilities Improve reliability and performance across multiple services Automate operational tasks and reduce alert noise Enhance monitoring and observability to prevent incidents Support development and test environments Contribute to infrastructure, CI/CD, and platform improvements Participate in an on call rota when required Essential Skills Terraform and infrastructure automation (Ansible/Chef or similar) Containers & orchestration (Docker, Kubernetes, OpenShift, etc.) CI/CD tooling (Jenkins or similar) Monitoring & observability (Prometheus, Grafana, InfluxDB) Messaging systems (RabbitMQ / AMQP) Linux administration & scripting AWS experience (EC2, RDS, S3, Lambda) Strong understanding of networking and security fundamentals Nice to Have Coding experience (Java, Go, Python) Secure or cross domain system experience Service management or operations background Azure exposure
Consultant Solution/Technical Architect Department: Consultancy Employment Type: Full Time Location: United Kingdom / Hybrid Description The Consultant Solution / Technical Architect role provides an opportunity to support a wide range of UK public sector and defence organisations on nationally critical digital programmes. You will provide consultancy to UK public sector and defence organisations to help them get maximum benefit from their ICT investments. You will analyse and develop solution and technical architectures based on the needs of the customer, including the associated technologies and operational processes. You will also research and assess new or unfamiliar technologies developments and routes to exploit these in support of our customers. Our position as a client-side advisor means that this role requires significant stakeholder engagement, dealing directly with the client, including in resolving day-day issues involved in assignment delivery and developing follow-on opportunities, so excellent interpersonal and influencing skills are essential. You will produce high-quality formal deliverables, sometimes to challenging timescales. Key Responsibilities Direct engagement with clients to understand their business drivers, requirements and constraints. Defining end-to-end solution architectures including Business, Information/Data, Applications and Infrastructure views. Development of solutions and product investigation/selection and supporting implementation in critical national infrastructure projects. Supporting large ICT procurements, including developing technical requirements and evaluating options. Skills, Knowledge and Expertise Essential: A track record in technical or solution architecture for digital projects or programmes is essential. The fast-changing nature of the ICT environment together with the need to resource multiple, ad-hoc assignments also requires the individual to be intellectually agile, proactive and self-motivated - with the ability to apply a structured approach to often unfamiliar subject matter. Desirable: Experience working on Digital or ICT programmes within the Defence and / or UK Public Sector. Solution Architecture development and review using industry standard frameworks or modelling standards (e.g. TOGAF, Archimate language) and tooling (such as BizzDesign, SparxEA or Archi). Experience with two or more of the following: Cloud Platforms: Understanding of Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), Oracle Cloud, or VMware VCF (with ability to design cloud-native or hybrid solutions). Suitable qualifications might include Cisco CCNP, Amazon Web Services Solution Architect, Microsoft Azure Fundamentals, Google Associate Cloud Engineer, VMware Certified Professional. A solid foundation in infrastructure. Understanding networking, integration of software defined networking within cloud, storage, virtualization, and server technologies such as Cisco, Dell, Palo Alto. Integration & APIs: REST, event-driven architectures, message brokers, API gateways. Data: data models, data flows, data governance, analytical platforms. Security: familiarity with NCSC and cloud security principles, identity & access management, zero trust, data protection and regulatory compliance. The nature of Actica's business means that a wide and varied background is preferable and the capability to adapt quickly to change is always required. You may not feel that your skills precisely match the requirements of this job specification; however, we encourage you to apply if this is a role that appeals to you. We require individuals with a broad skillset, so there may be other aspects of your experience which are equally important to us, but that are perhaps not listed in the role specification above. Actica aims to nurture a diverse workforce through inclusive working practices, promoting equality in our recruitment activities, and by employing candidates on the basis of merit. Discrimination against individuals on the grounds of protected characteristics is not permitted and we take steps to ensure that our staff are made aware of their legal responsibilities when making hiring decisions. We are keen to improve diversity within our organisation and the industries in which we work, and hope to employ individuals who share that view. While Guildford is our home base, consultants typically spend their time working remotely. For most clients, consultants spend 2-3 days working remotely and 2-3 days co-located with colleagues at a client's site or our office in Guildford. For some projects, there will a requirement to work up to 5 days a week co-located with colleagues. All work is team based, with a high level of engagement with other Actica and client team members. Candidates must be eligible and willing to gain UK Security Clearance to apply for this position.
Apr 10, 2026
Full time
Consultant Solution/Technical Architect Department: Consultancy Employment Type: Full Time Location: United Kingdom / Hybrid Description The Consultant Solution / Technical Architect role provides an opportunity to support a wide range of UK public sector and defence organisations on nationally critical digital programmes. You will provide consultancy to UK public sector and defence organisations to help them get maximum benefit from their ICT investments. You will analyse and develop solution and technical architectures based on the needs of the customer, including the associated technologies and operational processes. You will also research and assess new or unfamiliar technologies developments and routes to exploit these in support of our customers. Our position as a client-side advisor means that this role requires significant stakeholder engagement, dealing directly with the client, including in resolving day-day issues involved in assignment delivery and developing follow-on opportunities, so excellent interpersonal and influencing skills are essential. You will produce high-quality formal deliverables, sometimes to challenging timescales. Key Responsibilities Direct engagement with clients to understand their business drivers, requirements and constraints. Defining end-to-end solution architectures including Business, Information/Data, Applications and Infrastructure views. Development of solutions and product investigation/selection and supporting implementation in critical national infrastructure projects. Supporting large ICT procurements, including developing technical requirements and evaluating options. Skills, Knowledge and Expertise Essential: A track record in technical or solution architecture for digital projects or programmes is essential. The fast-changing nature of the ICT environment together with the need to resource multiple, ad-hoc assignments also requires the individual to be intellectually agile, proactive and self-motivated - with the ability to apply a structured approach to often unfamiliar subject matter. Desirable: Experience working on Digital or ICT programmes within the Defence and / or UK Public Sector. Solution Architecture development and review using industry standard frameworks or modelling standards (e.g. TOGAF, Archimate language) and tooling (such as BizzDesign, SparxEA or Archi). Experience with two or more of the following: Cloud Platforms: Understanding of Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), Oracle Cloud, or VMware VCF (with ability to design cloud-native or hybrid solutions). Suitable qualifications might include Cisco CCNP, Amazon Web Services Solution Architect, Microsoft Azure Fundamentals, Google Associate Cloud Engineer, VMware Certified Professional. A solid foundation in infrastructure. Understanding networking, integration of software defined networking within cloud, storage, virtualization, and server technologies such as Cisco, Dell, Palo Alto. Integration & APIs: REST, event-driven architectures, message brokers, API gateways. Data: data models, data flows, data governance, analytical platforms. Security: familiarity with NCSC and cloud security principles, identity & access management, zero trust, data protection and regulatory compliance. The nature of Actica's business means that a wide and varied background is preferable and the capability to adapt quickly to change is always required. You may not feel that your skills precisely match the requirements of this job specification; however, we encourage you to apply if this is a role that appeals to you. We require individuals with a broad skillset, so there may be other aspects of your experience which are equally important to us, but that are perhaps not listed in the role specification above. Actica aims to nurture a diverse workforce through inclusive working practices, promoting equality in our recruitment activities, and by employing candidates on the basis of merit. Discrimination against individuals on the grounds of protected characteristics is not permitted and we take steps to ensure that our staff are made aware of their legal responsibilities when making hiring decisions. We are keen to improve diversity within our organisation and the industries in which we work, and hope to employ individuals who share that view. While Guildford is our home base, consultants typically spend their time working remotely. For most clients, consultants spend 2-3 days working remotely and 2-3 days co-located with colleagues at a client's site or our office in Guildford. For some projects, there will a requirement to work up to 5 days a week co-located with colleagues. All work is team based, with a high level of engagement with other Actica and client team members. Candidates must be eligible and willing to gain UK Security Clearance to apply for this position.
Hamilton Barnes Associates Limited
Fareham, Hampshire
Looking to play a key role in architecting the strategy for how organizations defend their most critical assets? Join a technology services firm known for delivering reliable IT infrastructure, cloud, and managed services that help organisations run securely and efficiently. Works across industries including finance, legal, healthcare, and professional services. This role primarily involves acting as an offensive security lead for a diverse portfolio of 50+ clients across the Finance, Legal, and Sales & Distribution sectors. If you are interested in blending traditional deep-dive testing and cutting edge research into the security implications of AI adoption, apply now! Responsibilities Full Spectrum Security Testing Lead Complex Engagements: Direct and execute end to end penetration tests across internal and external networks, web applications, and mobile platforms. Multi Sector Adaptation: Tailor testing methodologies to meet the specific regulatory and threat landscapes of the Finance (high compliance), Legal (data privacy), and Distribution (operational uptime) industries. Advanced Adversarial Simulation: Go beyond automated scans to perform manual exploitation, pivoting, and social engineering to simulate real world sophisticated threats. Vulnerability Management & Remediation Strategic Reporting: Translate technical findings into high impact remediation reports for both executive stakeholders and technical teams. Remediation Oversight: In key accounts, act as a consultant to oversee the implementation of fixes, ensuring that vulnerabilities are not just identified, but effectively neutralized. Risk Prioritization: Help clients navigate "patch fatigue" by prioritizing vulnerabilities based on exploitability and business impact. Required Skills / Qualifications Technical Must Haves Offensive Certifications: Must hold at least one advanced, practical certification such as OSCP (Offensive Security Certified Professional), OSCE, GPEN, or GXPN. Full Stack Testing Expertise: Proven experience performing manual penetration testing across Internal/External Networks, Web Applications (OWASP Top 10), and Mobile (iOS/Android). Development Skills: Proficiency in Python, Go, or Ruby. You must be able to write custom scripts and contribute to the development of internal tools for AI monitoring and vulnerability detection. Infrastructure Knowledge: Deep understanding of Active Directory, Kerberos, Cloud environments (Azure/AWS), and modern containerization (Docker/Kubernetes). Experience & Engagement Lead Must Haves Engagement Leadership: Minimum of 5-7 years in a dedicated penetration testing role, with experience leading the lifecycle of an engagement from scoping to delivery. Multi Tenant/MSP Experience: Ability to manage security assessments for a large portfolio of clients (ideally 20+) simultaneously without a drop in quality. Remediation Advocacy: Act as a consultant to oversee and validate the remediation efforts of client IT teams. Salary Up to 130k (estimated)
Apr 10, 2026
Full time
Looking to play a key role in architecting the strategy for how organizations defend their most critical assets? Join a technology services firm known for delivering reliable IT infrastructure, cloud, and managed services that help organisations run securely and efficiently. Works across industries including finance, legal, healthcare, and professional services. This role primarily involves acting as an offensive security lead for a diverse portfolio of 50+ clients across the Finance, Legal, and Sales & Distribution sectors. If you are interested in blending traditional deep-dive testing and cutting edge research into the security implications of AI adoption, apply now! Responsibilities Full Spectrum Security Testing Lead Complex Engagements: Direct and execute end to end penetration tests across internal and external networks, web applications, and mobile platforms. Multi Sector Adaptation: Tailor testing methodologies to meet the specific regulatory and threat landscapes of the Finance (high compliance), Legal (data privacy), and Distribution (operational uptime) industries. Advanced Adversarial Simulation: Go beyond automated scans to perform manual exploitation, pivoting, and social engineering to simulate real world sophisticated threats. Vulnerability Management & Remediation Strategic Reporting: Translate technical findings into high impact remediation reports for both executive stakeholders and technical teams. Remediation Oversight: In key accounts, act as a consultant to oversee the implementation of fixes, ensuring that vulnerabilities are not just identified, but effectively neutralized. Risk Prioritization: Help clients navigate "patch fatigue" by prioritizing vulnerabilities based on exploitability and business impact. Required Skills / Qualifications Technical Must Haves Offensive Certifications: Must hold at least one advanced, practical certification such as OSCP (Offensive Security Certified Professional), OSCE, GPEN, or GXPN. Full Stack Testing Expertise: Proven experience performing manual penetration testing across Internal/External Networks, Web Applications (OWASP Top 10), and Mobile (iOS/Android). Development Skills: Proficiency in Python, Go, or Ruby. You must be able to write custom scripts and contribute to the development of internal tools for AI monitoring and vulnerability detection. Infrastructure Knowledge: Deep understanding of Active Directory, Kerberos, Cloud environments (Azure/AWS), and modern containerization (Docker/Kubernetes). Experience & Engagement Lead Must Haves Engagement Leadership: Minimum of 5-7 years in a dedicated penetration testing role, with experience leading the lifecycle of an engagement from scoping to delivery. Multi Tenant/MSP Experience: Ability to manage security assessments for a large portfolio of clients (ideally 20+) simultaneously without a drop in quality. Remediation Advocacy: Act as a consultant to oversee and validate the remediation efforts of client IT teams. Salary Up to 130k (estimated)
Lead AWS DevOps Engineer Leeds (on-site 1x per week) £650/day (Inside IR35) 7-month contract Start: ASAP About the Role We're looking for an experiencedAWS DevOps Engineerto take a lead role in building, automating, and supporting cloud-native infrastructure within theNHS/public sector. You'll be key to ensuring our platforms aresecure, scalable, and observable- driving automation and reliability across systems that directly support healthcare delivery. What You'll Be Doing Designing and managing Kubernetes clusters (including Helm chart configuration). Building and automating AWS infrastructure with Terraform. Implementing and maintaining observability solutions using Grafana & Prometheus. Administering Linux systems and developing automation scripts (Bash, Python). Championing DevOps best practice across teams. Collaborating with NHS stakeholders to ensure secure and compliant delivery. What We're Looking For Experience working within theNHS or wider public sector (healthcare focus preferred). Strong hands on expertise withKubernetes & Helm. AdvancedAWS & Terraformskills for Infrastructure as Code. Proven track record withobservability tooling(Grafana, Prometheus). StrongLinux adminand scripting/automation skills. Nice to Have CI/CD pipeline experience (GitHub Actions, Jenkins, CircleCI). Knowledge of cloud security & compliance best practices. Exposure to other cloud platforms (Azure, GCP). Interested? Apply now or reach out directly:
Apr 10, 2026
Full time
Lead AWS DevOps Engineer Leeds (on-site 1x per week) £650/day (Inside IR35) 7-month contract Start: ASAP About the Role We're looking for an experiencedAWS DevOps Engineerto take a lead role in building, automating, and supporting cloud-native infrastructure within theNHS/public sector. You'll be key to ensuring our platforms aresecure, scalable, and observable- driving automation and reliability across systems that directly support healthcare delivery. What You'll Be Doing Designing and managing Kubernetes clusters (including Helm chart configuration). Building and automating AWS infrastructure with Terraform. Implementing and maintaining observability solutions using Grafana & Prometheus. Administering Linux systems and developing automation scripts (Bash, Python). Championing DevOps best practice across teams. Collaborating with NHS stakeholders to ensure secure and compliant delivery. What We're Looking For Experience working within theNHS or wider public sector (healthcare focus preferred). Strong hands on expertise withKubernetes & Helm. AdvancedAWS & Terraformskills for Infrastructure as Code. Proven track record withobservability tooling(Grafana, Prometheus). StrongLinux adminand scripting/automation skills. Nice to Have CI/CD pipeline experience (GitHub Actions, Jenkins, CircleCI). Knowledge of cloud security & compliance best practices. Exposure to other cloud platforms (Azure, GCP). Interested? Apply now or reach out directly:
Senior Cloud Engineer Department: Technology - Engineering Employment Type: Full Time Location: Manchester Description Responsible for leading and coordinating deliveries and designs for medium to large features or engineering problems in the Cloud and Developer Experience space. Works confidently and effectively, and persists when faced with uncertainty or ambiguity. Pulls in support from around the company where needed, including from internal customers and stakeholders Key Responsibilities Own large technical components. Write high-quality code (appropriate style, patterns, organisation, comments, testability) with feedback and support. Follow well-known principles when appropriate e.g. KISS, DRY, SOLID. Test code thoroughly and proactively, and use good practices with feedback and support. Create small and manageable pull requests. Build loosely coupled components. Able to design and implement systems that comprise of multiple technical components for a given set of features Actively participate in requirements gathering and solution design. Communicate engineering choices/concerns. Consider non-functional requirements, and promote good resilience, performance, security, observability, and auditability practices to help other engineers deepen their knowledge. Document and share designs. Ensure the designs are peer-reviewed and/or reviewed as part of the appropriate forums, including through Technology Design Authority (TDA) when appropriate. Understand continuous integration and the value of integrating small chunks of code into the main branch frequently Proactively communicate progress to your team. Use your experience to unblock yourself on time. Rely on documentation, forums, and technical knowledge to resolve blockers. Clearly and confidently articulate the risk of technical problems to non-technical stakeholders (e.g. legal, compliance). Consider the impact that your work has on the product, business or customer. Demonstrate detailed -SME- knowledge in several domains. Actively engage in the roadmap development with your team. Use your understanding of system functionality to identify large limitations and impactful enhancements. Lead discussions on new or existing tools, technologies, automation, and engineering practices while being pragmatic in what can be changed or introduced vs what needs to be delivered. Demonstrate tools/frameworks, and new practices to the wider software engineering chapter (community of practice). Take part in initiatives to improve the practices of the engineering discipline. Skills, Knowledge & Expertise Strong experience with AWS, Terraform and GtiHub Actions (or similar tooling). Strong understanding of cloud architectures with a focus on efficiency, automation, resilience and auditability. Ability to write tests and testable code. Ability to write concise and precise documentation. Strong experience with distributed version control systems (e.g. Git). Experience in building and maintaining infrastructure as code and shared Platform tooling. Experience working with and cultivating an Agile approach. Experience of practical FinOps and cloud cost control. Experience of Azure cloud. Advanced numerate degree Technology Stack Git and GitHub Postman Slack/Email JIRA/Confluence VPN PyCharm / VS Code Job Benefits Competitive salary Incentive Bonus Company Car Scheme 25 days holiday PLUS your BIRTHDAY off Pension contribution with Royal London Life Assurance Private medical, dental and optical health insurance with Axa Hybrid working - Wrexham Free breakfast available
Apr 10, 2026
Full time
Senior Cloud Engineer Department: Technology - Engineering Employment Type: Full Time Location: Manchester Description Responsible for leading and coordinating deliveries and designs for medium to large features or engineering problems in the Cloud and Developer Experience space. Works confidently and effectively, and persists when faced with uncertainty or ambiguity. Pulls in support from around the company where needed, including from internal customers and stakeholders Key Responsibilities Own large technical components. Write high-quality code (appropriate style, patterns, organisation, comments, testability) with feedback and support. Follow well-known principles when appropriate e.g. KISS, DRY, SOLID. Test code thoroughly and proactively, and use good practices with feedback and support. Create small and manageable pull requests. Build loosely coupled components. Able to design and implement systems that comprise of multiple technical components for a given set of features Actively participate in requirements gathering and solution design. Communicate engineering choices/concerns. Consider non-functional requirements, and promote good resilience, performance, security, observability, and auditability practices to help other engineers deepen their knowledge. Document and share designs. Ensure the designs are peer-reviewed and/or reviewed as part of the appropriate forums, including through Technology Design Authority (TDA) when appropriate. Understand continuous integration and the value of integrating small chunks of code into the main branch frequently Proactively communicate progress to your team. Use your experience to unblock yourself on time. Rely on documentation, forums, and technical knowledge to resolve blockers. Clearly and confidently articulate the risk of technical problems to non-technical stakeholders (e.g. legal, compliance). Consider the impact that your work has on the product, business or customer. Demonstrate detailed -SME- knowledge in several domains. Actively engage in the roadmap development with your team. Use your understanding of system functionality to identify large limitations and impactful enhancements. Lead discussions on new or existing tools, technologies, automation, and engineering practices while being pragmatic in what can be changed or introduced vs what needs to be delivered. Demonstrate tools/frameworks, and new practices to the wider software engineering chapter (community of practice). Take part in initiatives to improve the practices of the engineering discipline. Skills, Knowledge & Expertise Strong experience with AWS, Terraform and GtiHub Actions (or similar tooling). Strong understanding of cloud architectures with a focus on efficiency, automation, resilience and auditability. Ability to write tests and testable code. Ability to write concise and precise documentation. Strong experience with distributed version control systems (e.g. Git). Experience in building and maintaining infrastructure as code and shared Platform tooling. Experience working with and cultivating an Agile approach. Experience of practical FinOps and cloud cost control. Experience of Azure cloud. Advanced numerate degree Technology Stack Git and GitHub Postman Slack/Email JIRA/Confluence VPN PyCharm / VS Code Job Benefits Competitive salary Incentive Bonus Company Car Scheme 25 days holiday PLUS your BIRTHDAY off Pension contribution with Royal London Life Assurance Private medical, dental and optical health insurance with Axa Hybrid working - Wrexham Free breakfast available
Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global AI-native consultancy with proven experience across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. From strategy, to build, to business outcomes, we unlock value from AI with unmatched clarity, speed, and capability. Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side by side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact. Overview We're seeking an experienced AI Engineer to design, build, and deploy production grade AI systems powered by large language models. This role sits at the intersection of software engineering and AI implementation, focusing on building reliable, scalable applications rather than model training or research. You'll work with cutting edge LLM technologies, building advanced AI systems that solve complex real world problems through multi agent orchestration, intelligent tool integration, and robust production workflows. You'll be crafting the orchestration layer that makes these systems production ready-handling failure modes, optimizing agent collaboration, and ensuring consistent, reliable outputs at scale. You'll combine strong software engineering fundamentals with deep practical knowledge of LLM capabilities, limitations, and best practices for building non deterministic systems that users can trust. Responsibilities Design and implement production AI systems integrating LLMs, RAG pipelines, vector databases, and agentic frameworks. Create evaluation frameworks to measure and monitor system performance, accuracy, and reliability Build and maintain production grade AI applications with clean code, appropriate error handling, APIs, and data pipelines Experience implementing, maintaining and evaluating retrieval systems (vector/graph databases, ingestion pipelines, chunking strategies, retrieval techniques such as HyDE) Implement feedback loops and observability to continuously improve system performance Craft effective prompts and optimize for latency, cost, and quality across different model providers and configurations Required Skills and Experience Hands on experience building applications with LLM APIs and deep understanding of their capabilities, limitations, and failure modes Practical implementation of RAG architectures, vector databases, knowledge graphs and prompt engineering Experience building multi step LLM workflows and agentic systems using frameworks (e.g. SDK, Strands, Claude Agents SDK, LangGraph, etc.) or custom implementations where needed Strong Python (or other modern programming language) proficiency with production API/service development experience and cloud platform knowledge (AWS, GCP, Azure) Understanding of distributed systems, CI/CD, testing frameworks, and deployment pipelines Solid foundations and understanding of production grade, cloud native platform and infrastructure requirements, design, and implementation. Strong data manipulation skills (pandas, SQL) and understanding of evaluation strategies for LLM based systems Ability to work with ambiguity and optimise non deterministic systems through a process of experimentation and evaluation while balancing latency/cost/quality tradeoffs Nice to Haves Experience with AI assisted coding using tools like Claude Code, OpenAI Codex, Github Copilot Experience with fine tuning LLMs for domain specific applications and knowledge of when fine tuning is preferable to prompt engineering or RAG Experience with real time streaming, multimodal models, or search technologies like Elasticsearch Familiarity with model observability tools (LangSmith, Weights & Biases) and cost optimization strategies Experience in specialized verticals (financial services, energy, healthcare, legal, retail) with understanding of compliance, security, and responsible AI practices Experience with setting up tool calling agents, handoffs, and guardrails Why Indicium AI Fast growing start up organisation with huge opportunity for career growth Highly competitive salary package along with company bonus A hugely collaborative working environment where every person's viewpoint is considered - a chance to make your mark on the business from day one! Financially backed business meaning security and support for new initiatives and global market expansion Pick your own Gear! Macbooks, PCs, Accessories! Drive your development with a personal learning budget
Apr 10, 2026
Full time
Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global AI-native consultancy with proven experience across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. From strategy, to build, to business outcomes, we unlock value from AI with unmatched clarity, speed, and capability. Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side by side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact. Overview We're seeking an experienced AI Engineer to design, build, and deploy production grade AI systems powered by large language models. This role sits at the intersection of software engineering and AI implementation, focusing on building reliable, scalable applications rather than model training or research. You'll work with cutting edge LLM technologies, building advanced AI systems that solve complex real world problems through multi agent orchestration, intelligent tool integration, and robust production workflows. You'll be crafting the orchestration layer that makes these systems production ready-handling failure modes, optimizing agent collaboration, and ensuring consistent, reliable outputs at scale. You'll combine strong software engineering fundamentals with deep practical knowledge of LLM capabilities, limitations, and best practices for building non deterministic systems that users can trust. Responsibilities Design and implement production AI systems integrating LLMs, RAG pipelines, vector databases, and agentic frameworks. Create evaluation frameworks to measure and monitor system performance, accuracy, and reliability Build and maintain production grade AI applications with clean code, appropriate error handling, APIs, and data pipelines Experience implementing, maintaining and evaluating retrieval systems (vector/graph databases, ingestion pipelines, chunking strategies, retrieval techniques such as HyDE) Implement feedback loops and observability to continuously improve system performance Craft effective prompts and optimize for latency, cost, and quality across different model providers and configurations Required Skills and Experience Hands on experience building applications with LLM APIs and deep understanding of their capabilities, limitations, and failure modes Practical implementation of RAG architectures, vector databases, knowledge graphs and prompt engineering Experience building multi step LLM workflows and agentic systems using frameworks (e.g. SDK, Strands, Claude Agents SDK, LangGraph, etc.) or custom implementations where needed Strong Python (or other modern programming language) proficiency with production API/service development experience and cloud platform knowledge (AWS, GCP, Azure) Understanding of distributed systems, CI/CD, testing frameworks, and deployment pipelines Solid foundations and understanding of production grade, cloud native platform and infrastructure requirements, design, and implementation. Strong data manipulation skills (pandas, SQL) and understanding of evaluation strategies for LLM based systems Ability to work with ambiguity and optimise non deterministic systems through a process of experimentation and evaluation while balancing latency/cost/quality tradeoffs Nice to Haves Experience with AI assisted coding using tools like Claude Code, OpenAI Codex, Github Copilot Experience with fine tuning LLMs for domain specific applications and knowledge of when fine tuning is preferable to prompt engineering or RAG Experience with real time streaming, multimodal models, or search technologies like Elasticsearch Familiarity with model observability tools (LangSmith, Weights & Biases) and cost optimization strategies Experience in specialized verticals (financial services, energy, healthcare, legal, retail) with understanding of compliance, security, and responsible AI practices Experience with setting up tool calling agents, handoffs, and guardrails Why Indicium AI Fast growing start up organisation with huge opportunity for career growth Highly competitive salary package along with company bonus A hugely collaborative working environment where every person's viewpoint is considered - a chance to make your mark on the business from day one! Financially backed business meaning security and support for new initiatives and global market expansion Pick your own Gear! Macbooks, PCs, Accessories! Drive your development with a personal learning budget
Platform Engineer London Hybrid A London based digital assets and trading technology firm is looking for a Platform Engineer to join their infrastructure team. The company operates in the crypto currency and market infrastructure space, building systems that process large volumes of market and web data in real time. The engineering environment is fast paced and highly technical, with small teams working closely together to improve reliability, automation, and platform performance. This role sits at the intersection of infrastructure and development, supporting cloud platforms that power globally distributed systems. Engineers are encouraged to take ownership of infrastructure, build automation, and work closely with other teams to continuously improve the platform. Tech Environment AWS Kubernetes Docker Terraform Linux Python Bash CI/CD Prometheus Grafana What You Will Work On Running and improving AWS based infrastructure supporting distributed production systems. Building and maintaining Infrastructure as Code using Terraform. Operating and troubleshooting Linux based systems and containerised workloads. Improving observability and reliability using monitoring and alerting tools. Developing scripts or internal tooling to automate operational tasks. Working closely with developers and infrastructure engineers on platform improvements. What They Are Looking For Around 2+ years experience in platform engineering, DevOps, infrastructure, or SRE environments. Experience working with AWS or other cloud infrastructure. Strong Linux fundamentals and understanding of networking basics. Some development or scripting experience such as Python or Bash. Engineers who enjoy understanding how systems work end to end and who are comfortable working across infrastructure and development. Nice to Have Experience with Kubernetes or container platforms. Experience with monitoring tools such as Prometheus or Grafana. Experience with Infrastructure as Code tools such as Terraform. Interest in digital assets, trading systems, or financial markets.
Apr 10, 2026
Full time
Platform Engineer London Hybrid A London based digital assets and trading technology firm is looking for a Platform Engineer to join their infrastructure team. The company operates in the crypto currency and market infrastructure space, building systems that process large volumes of market and web data in real time. The engineering environment is fast paced and highly technical, with small teams working closely together to improve reliability, automation, and platform performance. This role sits at the intersection of infrastructure and development, supporting cloud platforms that power globally distributed systems. Engineers are encouraged to take ownership of infrastructure, build automation, and work closely with other teams to continuously improve the platform. Tech Environment AWS Kubernetes Docker Terraform Linux Python Bash CI/CD Prometheus Grafana What You Will Work On Running and improving AWS based infrastructure supporting distributed production systems. Building and maintaining Infrastructure as Code using Terraform. Operating and troubleshooting Linux based systems and containerised workloads. Improving observability and reliability using monitoring and alerting tools. Developing scripts or internal tooling to automate operational tasks. Working closely with developers and infrastructure engineers on platform improvements. What They Are Looking For Around 2+ years experience in platform engineering, DevOps, infrastructure, or SRE environments. Experience working with AWS or other cloud infrastructure. Strong Linux fundamentals and understanding of networking basics. Some development or scripting experience such as Python or Bash. Engineers who enjoy understanding how systems work end to end and who are comfortable working across infrastructure and development. Nice to Have Experience with Kubernetes or container platforms. Experience with monitoring tools such as Prometheus or Grafana. Experience with Infrastructure as Code tools such as Terraform. Interest in digital assets, trading systems, or financial markets.
Join the Growth Story at Envitia Envitia operates at the heart of the UK's most sensitive and high-profile operations. Our approach is entirely mission-focused, enabling customers to see more, decide faster, and act with confidence across complex domains. We deliver situational awareness and information advantage across C5ISR, fusing cyber, geospatial, and kinetic data into an operational picture. This transforms fragmented data into a shared understanding of the battlespace, delivering actionable insight when it matters most. Our solutions are secure-by-design, built from the ground up to protect sensitive information and ensure resilience in contested environments. We simplify complex heterogeneous data sources into a rich picture of fused intelligence, providing a digital backbone that underpins success. We operate as small teams delivering fast value, blending deep technical expertise with agile methods to deliver measurable outcomes. Every engagement focuses on capability, clarity, and confidence for those who protect the nation. A career with Envitia enables you to work with mission driven innovation. We're thrilled to announce that Envitia has been named one of the Sunday Times Top 100 Medium-Sized Companies to Work For in 2025-a prestigious recognition that highlights our commitment to creating an outstanding workplace where innovation, collaboration, and personal growth thrive. The Role Envitia is recruiting for a Data Engineer to join our Security and Intelligence consulting team, who will be responsible for designing, building and maintaining secure, scalable data platforms and pipelines that enable advanced analytics and operational intelligence capabilities. The role focuses on engineering robust data architectures capable of ingesting, processing and distributing large-scale datasets, supporting downstream analytics, machine learning and mission applications. The successful candidate will work within multi disciplinary agile teams, collaborating with data scientists, software engineers, DevOps specialists and mission analysts to deliver production grade data solutions. Typical engagements include: Engineering large scale data ingestion and processing pipelines Designing data lakes and distributed data platforms Enabling analytics and AI/ML workloads Supporting intelligence data exploitation workflows Integrating multiple classified data sources across secure environments Job Responsibilities Design, build and maintain secure, scalable data platforms capable of processing large volumes of operational data. Develop and operate robust data lakes and distributed data processing environments within secure or regulated settings. Engineer high performance data ingestion pipelines for batch and streaming data from multiple sources, including sensor, geospatial, communications and operational systems. Design and implement ETL/ELT workflows to transform, enrich and validate data for downstream analytics and machine learning use. Build scalable, distributed data processing solutions using modern big data and parallel processing technologies. Ensure data quality, reliability and performance through monitoring, validation and operational support mechanisms. Collaborate closely with data scientists to enable analytics and AI/ML workloads, including feature pipelines and data preparation processes. Optimise data storage and processing architectures to support high performance analytical environments. Contribute to DevSecOps and cloud native delivery, including automated deployment, infrastructure provisioning and containerised environments. Support the ongoing operation, observability and resilience of production data platforms. Skills Required Experience in data engineering using modern programming languages such as Python, Java or Scala, and SQL. Hands on experience building and operating large scale data pipelines using big data and distributed processing technologies (e.g. Apache Spark, Hadoop). Experience designing and maintaining data lakes, distributed storage platforms, and data pipeline orchestration tools. Experience working with cloud native data platforms, with strong expertise in AWS and native data services. Familiarity with Infrastructure as Code and modern cloud native data architectures. Experience working in DevSecOps environments, including Docker, Kubernetes, CI/CD pipelines, and observability/monitoring tooling. Ability to work directly with stakeholders to understand data requirements and translate them into robust, scalable data engineering solutions. Comfortable working in secure, regulated or constrained environments, delivering solutions within complex operational settings. Security Clearance Requirements The successful candidate must be eligible for an enhanced Developed Vetted / eDV security clearance. Location It is anticipated the role will require up to 80% (4d/wk) onsite working at client locations - Gloucester, London, Manchester (based on project requirements). What's in it for you? At Envitia, our greatest asset is our team. We are committed to ensuring our workplace is one where every employee feels valued, supported and motivated to reach their full potential. As part of this commitment, we offer an exciting range of benefits designed to enhance both your professional and personal well being. More time for you:Enjoy 25 days of annual leave plus your birthday off, because you deserve to celebrate you. Want more flexibility? You can buy or sell up to 5 extra days to tailor time off around what matters most. Private Medical Insurance:We've got you covered with comprehensive private healthcare, including family options for added peace of mind. Security Clearance Bonus:Up to £5,000 year Career growth that keeps you ahead:We invest in your future with ongoing training and development, so you're always learning, growing and staying ahead of the curve. Wellness that works for you:Love yoga, or going to the gym? We encourage an active lifestyle and support your wellness goals with a fitness reimbursement scheme that helps cover your gym membership or fitness-related expenses. Life Assurance:Gain peace of mind with our life insurance coverage that ensures your loved ones are protected, because we care about your future as much as your present. Smarter Retirement Planning:Plan for your future with our pension options and resources to help build a secure financial foundation. Perkbox:Treat yourself! From shopping to spa days, to saving money on that new TV, our Perkbox membership gives you access to exclusive discounts on hundreds of products and services. Recognition that counts:Great work doesn't go unnoticed here. Our reward and recognition scheme celebrate your impact and let your brilliance shine. Give back and get involved:Join us in making a difference through paid volunteering days that let you support the causes that matter to you. Inclusion at Envitia At Envitia, we celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and walks of life. We believe that our strength lies in our differences, and we are dedicated to fostering a workplace where everyone feels valued, respected, and empowered. We encourage applications from people of all abilities, ages, genders, sexual orientations, races, ethnicities, and religions. We strive to support a culture of inclusion, accessibility, and work life balance. If you require any accommodations during the application or interview process, please let us know.
Apr 10, 2026
Full time
Join the Growth Story at Envitia Envitia operates at the heart of the UK's most sensitive and high-profile operations. Our approach is entirely mission-focused, enabling customers to see more, decide faster, and act with confidence across complex domains. We deliver situational awareness and information advantage across C5ISR, fusing cyber, geospatial, and kinetic data into an operational picture. This transforms fragmented data into a shared understanding of the battlespace, delivering actionable insight when it matters most. Our solutions are secure-by-design, built from the ground up to protect sensitive information and ensure resilience in contested environments. We simplify complex heterogeneous data sources into a rich picture of fused intelligence, providing a digital backbone that underpins success. We operate as small teams delivering fast value, blending deep technical expertise with agile methods to deliver measurable outcomes. Every engagement focuses on capability, clarity, and confidence for those who protect the nation. A career with Envitia enables you to work with mission driven innovation. We're thrilled to announce that Envitia has been named one of the Sunday Times Top 100 Medium-Sized Companies to Work For in 2025-a prestigious recognition that highlights our commitment to creating an outstanding workplace where innovation, collaboration, and personal growth thrive. The Role Envitia is recruiting for a Data Engineer to join our Security and Intelligence consulting team, who will be responsible for designing, building and maintaining secure, scalable data platforms and pipelines that enable advanced analytics and operational intelligence capabilities. The role focuses on engineering robust data architectures capable of ingesting, processing and distributing large-scale datasets, supporting downstream analytics, machine learning and mission applications. The successful candidate will work within multi disciplinary agile teams, collaborating with data scientists, software engineers, DevOps specialists and mission analysts to deliver production grade data solutions. Typical engagements include: Engineering large scale data ingestion and processing pipelines Designing data lakes and distributed data platforms Enabling analytics and AI/ML workloads Supporting intelligence data exploitation workflows Integrating multiple classified data sources across secure environments Job Responsibilities Design, build and maintain secure, scalable data platforms capable of processing large volumes of operational data. Develop and operate robust data lakes and distributed data processing environments within secure or regulated settings. Engineer high performance data ingestion pipelines for batch and streaming data from multiple sources, including sensor, geospatial, communications and operational systems. Design and implement ETL/ELT workflows to transform, enrich and validate data for downstream analytics and machine learning use. Build scalable, distributed data processing solutions using modern big data and parallel processing technologies. Ensure data quality, reliability and performance through monitoring, validation and operational support mechanisms. Collaborate closely with data scientists to enable analytics and AI/ML workloads, including feature pipelines and data preparation processes. Optimise data storage and processing architectures to support high performance analytical environments. Contribute to DevSecOps and cloud native delivery, including automated deployment, infrastructure provisioning and containerised environments. Support the ongoing operation, observability and resilience of production data platforms. Skills Required Experience in data engineering using modern programming languages such as Python, Java or Scala, and SQL. Hands on experience building and operating large scale data pipelines using big data and distributed processing technologies (e.g. Apache Spark, Hadoop). Experience designing and maintaining data lakes, distributed storage platforms, and data pipeline orchestration tools. Experience working with cloud native data platforms, with strong expertise in AWS and native data services. Familiarity with Infrastructure as Code and modern cloud native data architectures. Experience working in DevSecOps environments, including Docker, Kubernetes, CI/CD pipelines, and observability/monitoring tooling. Ability to work directly with stakeholders to understand data requirements and translate them into robust, scalable data engineering solutions. Comfortable working in secure, regulated or constrained environments, delivering solutions within complex operational settings. Security Clearance Requirements The successful candidate must be eligible for an enhanced Developed Vetted / eDV security clearance. Location It is anticipated the role will require up to 80% (4d/wk) onsite working at client locations - Gloucester, London, Manchester (based on project requirements). What's in it for you? At Envitia, our greatest asset is our team. We are committed to ensuring our workplace is one where every employee feels valued, supported and motivated to reach their full potential. As part of this commitment, we offer an exciting range of benefits designed to enhance both your professional and personal well being. More time for you:Enjoy 25 days of annual leave plus your birthday off, because you deserve to celebrate you. Want more flexibility? You can buy or sell up to 5 extra days to tailor time off around what matters most. Private Medical Insurance:We've got you covered with comprehensive private healthcare, including family options for added peace of mind. Security Clearance Bonus:Up to £5,000 year Career growth that keeps you ahead:We invest in your future with ongoing training and development, so you're always learning, growing and staying ahead of the curve. Wellness that works for you:Love yoga, or going to the gym? We encourage an active lifestyle and support your wellness goals with a fitness reimbursement scheme that helps cover your gym membership or fitness-related expenses. Life Assurance:Gain peace of mind with our life insurance coverage that ensures your loved ones are protected, because we care about your future as much as your present. Smarter Retirement Planning:Plan for your future with our pension options and resources to help build a secure financial foundation. Perkbox:Treat yourself! From shopping to spa days, to saving money on that new TV, our Perkbox membership gives you access to exclusive discounts on hundreds of products and services. Recognition that counts:Great work doesn't go unnoticed here. Our reward and recognition scheme celebrate your impact and let your brilliance shine. Give back and get involved:Join us in making a difference through paid volunteering days that let you support the causes that matter to you. Inclusion at Envitia At Envitia, we celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and walks of life. We believe that our strength lies in our differences, and we are dedicated to fostering a workplace where everyone feels valued, respected, and empowered. We encourage applications from people of all abilities, ages, genders, sexual orientations, races, ethnicities, and religions. We strive to support a culture of inclusion, accessibility, and work life balance. If you require any accommodations during the application or interview process, please let us know.
A leading cloud security firm in Greater London is looking for an experienced Expert Backend Engineer to join their expanding R&D team. You will be responsible for developing and maintaining large-scale distributed components that power the company. The ideal candidate should have over 8 years of experience in Backend Engineering and be familiar with cloud platforms like AWS and Azure. This role requires a commitment to writing clean, efficient code and collaborating with cross-functional teams to deliver high-quality features.
Apr 10, 2026
Full time
A leading cloud security firm in Greater London is looking for an experienced Expert Backend Engineer to join their expanding R&D team. You will be responsible for developing and maintaining large-scale distributed components that power the company. The ideal candidate should have over 8 years of experience in Backend Engineering and be familiar with cloud platforms like AWS and Azure. This role requires a commitment to writing clean, efficient code and collaborating with cross-functional teams to deliver high-quality features.
Staff MLOps Engineer (AI Infrastructure & ML Platforms) London (Hybrid) Up to £150,000 We've partnered with a fast?growing, Private Equity-backed SaaS company based in Central London that's building the next generation of AI infrastructure to support intelligent products and ML systems at scale. They're looking for an experienced Staff MLOps / AI Infrastructure Engineer to help design, build, and operate the infrastructure that supports training, deployment, monitoring, and scaling of AI models across the organisation's portfolio of products. This is a high?impact role within a new AI platforms squad, working with modern toolchains across cloud environments, LLMOps ecosystems, and DevOps?centric engineering practises. What you'll be doing As their Staff MLOps Engineer, you'll be responsible for building and owning core AI/ML infrastructure, ensuring models and systems operate reliably and efficiently in production: Design and maintain end-to-end MLOps systems for training, deployment, and monitoring Build and manage CI/CD pipelines for ML model lifecycle automation Collaborate with AI/ML, backend, and DevOps teams to deliver scalable, secure infrastructure Implement observability and monitoring for model performance, reliability, and data drift Manage cloud and container infrastructure (AWS, Terraform, Kubernetes, Docker, serverless) Define infrastructure standards and best practices, with clear documentation Mentor engineers on MLOps and DevOps tools, workflows, and practices What they're looking for Strong experience in MLOps, AI infrastructure, or DevOps for ML systems Skilled in Python, cloud platforms, CI/CD, and container orchestration Experience with ML frameworks and tooling (MLflow, Kubeflow, SageMaker, Vertex AI, or similar) Passion for building scalable, reliable, production ML systems What's in it for you Salary: up to £150,000 Work on a greenfield AI infrastructure platform that enables intelligent products Hybrid working: typically two days per week in Central London Benefits: 25 days annual leave, enhanced pension plan, medical insurance, paid parental leave, and more Join a rapidly growing team with clear career progression opportunities If you're passionate about building robust, scalable MLOps and AI infrastructure for large?scale ML systems, and enjoy collaborating across engineering and product teams, this is an excellent opportunity to make a lasting impact. Apply now to find out more.
Apr 10, 2026
Full time
Staff MLOps Engineer (AI Infrastructure & ML Platforms) London (Hybrid) Up to £150,000 We've partnered with a fast?growing, Private Equity-backed SaaS company based in Central London that's building the next generation of AI infrastructure to support intelligent products and ML systems at scale. They're looking for an experienced Staff MLOps / AI Infrastructure Engineer to help design, build, and operate the infrastructure that supports training, deployment, monitoring, and scaling of AI models across the organisation's portfolio of products. This is a high?impact role within a new AI platforms squad, working with modern toolchains across cloud environments, LLMOps ecosystems, and DevOps?centric engineering practises. What you'll be doing As their Staff MLOps Engineer, you'll be responsible for building and owning core AI/ML infrastructure, ensuring models and systems operate reliably and efficiently in production: Design and maintain end-to-end MLOps systems for training, deployment, and monitoring Build and manage CI/CD pipelines for ML model lifecycle automation Collaborate with AI/ML, backend, and DevOps teams to deliver scalable, secure infrastructure Implement observability and monitoring for model performance, reliability, and data drift Manage cloud and container infrastructure (AWS, Terraform, Kubernetes, Docker, serverless) Define infrastructure standards and best practices, with clear documentation Mentor engineers on MLOps and DevOps tools, workflows, and practices What they're looking for Strong experience in MLOps, AI infrastructure, or DevOps for ML systems Skilled in Python, cloud platforms, CI/CD, and container orchestration Experience with ML frameworks and tooling (MLflow, Kubeflow, SageMaker, Vertex AI, or similar) Passion for building scalable, reliable, production ML systems What's in it for you Salary: up to £150,000 Work on a greenfield AI infrastructure platform that enables intelligent products Hybrid working: typically two days per week in Central London Benefits: 25 days annual leave, enhanced pension plan, medical insurance, paid parental leave, and more Join a rapidly growing team with clear career progression opportunities If you're passionate about building robust, scalable MLOps and AI infrastructure for large?scale ML systems, and enjoy collaborating across engineering and product teams, this is an excellent opportunity to make a lasting impact. Apply now to find out more.
At Urban Jungle , we're making insurance fair - to people, planet and wallets. We're one of the fastest-growing businesses in the UK, working to fix one of the biggest industries in the world. We put customers at the heart of everything we do, using data and technology to make insurance simple, flexible, and affordable. We care about our impact on the planet, becoming a B Corp in 2022 and offsetting our carbon emissions every year. So far, we've helped 300,000 customers get better insurance and become one of the top-rated home insurance providers in the UK. We placed 1st in Tempo's 2024 award for best startup to work for, and are in the top 10 of Deloitte's Fast 50. We've raised over £43m in funding to date to help us with our mission. We're looking for people to join our team of kind, talented people on a mission to change the insurance industry for good. About the role We're on the hunt for Software Engineers to join our 13-strong Full Stack Software Engineering team. You'll hit the ground running, getting stuck into our tech stack from day one and shipping valuable features within your first few weeks. You'll start by flexing your strengths, then we'll quickly get you stuck into new areas to grow your skillset and widen your impact. You'll be at the heart of a team that collaborates closely with Product, Commercial, and Data - all working together to build features that genuinely delight our customers and move the needle. Here's what you'll get up to: You'll start with high-impact, high-visibility features, then scale up to leading cross-functional projects like new product launches, integrations with our external partners, and platform-wide upgrades. Learn fast and often - you'll level up your skills across a wide range of tools and technologies while working on meaningful, end-to-end challenges. You'll bring your technical expertise to influence key decisions about how we design, build, and expand our growing portfolio of products and services. Be part of shaping the team's future -your ideas will matter, and you'll have a real voice in how we scale, operate, and grow. You've read this far! Here's what we're looking for from you: Whether you're just starting out in your career or already have some experience under your belt, we're looking for kind, curious problem solvers who want to have an impact on the lives of real people. You're eager to deepen your skillset in Front-End/UX design, Linux, Docker, AWS, and SQL. You're excited to take ownership, ship value fast, and continuously improve. You bring a clear, thoughtful communication style - translating technical complexity into plain English. You're a problem-solver through and through - big or small, you love a challenge! You question the status quo if it leads to better outcomes for our customers. You manage your time well and prioritise work that aligns with company goals. You're ambitious, hands on, and hungry to grow as fast as the business. You treat everyone with integrity, respect and kindness - whether it's your colleagues, our customers, or our partners. These requirements are a guide as to what we're looking for, but if you don't have all of the skills listed above, that's okay! Please don't let that hold you back from applying if the role excites you. Below you can find a small reflection of our current tech stack: Frontend: TypeScript Angular 19 Tailwind CSS Orval Zod Python Pydantic FastAPI All the other good stuff: Docker AWS About our offer We're taking an office-centric approach to work (with lots of flexibility built-in) and the team is based in Oval, London. In addition to our positive, open working environment, you can expect the following benefits of working at Urban Jungle: A starting salary of between £40,000 - £41,000 . Share options that can increase alongside performance and growth. 25 days paid annual leave,plus public holidays. Rapid Progression. We'll give you the opportunity to experience loads, and develop rapidly. You'll get tons of responsibility from day one, and all the feedback, coaching and support you need to fuel your career growth. Real Impact. You'll work on big, interesting problems that will challenge you, and do so in a way that has a positive impact on people's lives, the planet and our community. A Clear Plan. We'll give you the clarity on what we want to achieve, with the freedom and autonomy for you to decide how we get there. The Best People. You'll be surrounded by teammates who are exceptional at what they do, whilst being kind, honest people who champion our values. A dedicated development budget, access to a senior mentor, and training on whatever you need to do your job well. Well-being support. We're committed to supporting both physical and mental well-being through access to therapy, weekly onsite yoga, and subsidised sports clubs. Enhanced parental leave, and support for parents returning to work. All. The. Fun. We regularly organise awesome socials and have some vibrant team communities such as book club and foodies. Depending on relevant experience, this salary range is negotiable. About our commitment Urban Jungle is an equal opportunity employer and fairness and respect are at the heart of who we are and how we work. We do not discriminate based on race, age, ethnicity, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity or disability. We know that in order to build a truly successful business, we need a team of diverse individuals who can offer a variety of skills, experiences and perspectives.
Apr 10, 2026
Full time
At Urban Jungle , we're making insurance fair - to people, planet and wallets. We're one of the fastest-growing businesses in the UK, working to fix one of the biggest industries in the world. We put customers at the heart of everything we do, using data and technology to make insurance simple, flexible, and affordable. We care about our impact on the planet, becoming a B Corp in 2022 and offsetting our carbon emissions every year. So far, we've helped 300,000 customers get better insurance and become one of the top-rated home insurance providers in the UK. We placed 1st in Tempo's 2024 award for best startup to work for, and are in the top 10 of Deloitte's Fast 50. We've raised over £43m in funding to date to help us with our mission. We're looking for people to join our team of kind, talented people on a mission to change the insurance industry for good. About the role We're on the hunt for Software Engineers to join our 13-strong Full Stack Software Engineering team. You'll hit the ground running, getting stuck into our tech stack from day one and shipping valuable features within your first few weeks. You'll start by flexing your strengths, then we'll quickly get you stuck into new areas to grow your skillset and widen your impact. You'll be at the heart of a team that collaborates closely with Product, Commercial, and Data - all working together to build features that genuinely delight our customers and move the needle. Here's what you'll get up to: You'll start with high-impact, high-visibility features, then scale up to leading cross-functional projects like new product launches, integrations with our external partners, and platform-wide upgrades. Learn fast and often - you'll level up your skills across a wide range of tools and technologies while working on meaningful, end-to-end challenges. You'll bring your technical expertise to influence key decisions about how we design, build, and expand our growing portfolio of products and services. Be part of shaping the team's future -your ideas will matter, and you'll have a real voice in how we scale, operate, and grow. You've read this far! Here's what we're looking for from you: Whether you're just starting out in your career or already have some experience under your belt, we're looking for kind, curious problem solvers who want to have an impact on the lives of real people. You're eager to deepen your skillset in Front-End/UX design, Linux, Docker, AWS, and SQL. You're excited to take ownership, ship value fast, and continuously improve. You bring a clear, thoughtful communication style - translating technical complexity into plain English. You're a problem-solver through and through - big or small, you love a challenge! You question the status quo if it leads to better outcomes for our customers. You manage your time well and prioritise work that aligns with company goals. You're ambitious, hands on, and hungry to grow as fast as the business. You treat everyone with integrity, respect and kindness - whether it's your colleagues, our customers, or our partners. These requirements are a guide as to what we're looking for, but if you don't have all of the skills listed above, that's okay! Please don't let that hold you back from applying if the role excites you. Below you can find a small reflection of our current tech stack: Frontend: TypeScript Angular 19 Tailwind CSS Orval Zod Python Pydantic FastAPI All the other good stuff: Docker AWS About our offer We're taking an office-centric approach to work (with lots of flexibility built-in) and the team is based in Oval, London. In addition to our positive, open working environment, you can expect the following benefits of working at Urban Jungle: A starting salary of between £40,000 - £41,000 . Share options that can increase alongside performance and growth. 25 days paid annual leave,plus public holidays. Rapid Progression. We'll give you the opportunity to experience loads, and develop rapidly. You'll get tons of responsibility from day one, and all the feedback, coaching and support you need to fuel your career growth. Real Impact. You'll work on big, interesting problems that will challenge you, and do so in a way that has a positive impact on people's lives, the planet and our community. A Clear Plan. We'll give you the clarity on what we want to achieve, with the freedom and autonomy for you to decide how we get there. The Best People. You'll be surrounded by teammates who are exceptional at what they do, whilst being kind, honest people who champion our values. A dedicated development budget, access to a senior mentor, and training on whatever you need to do your job well. Well-being support. We're committed to supporting both physical and mental well-being through access to therapy, weekly onsite yoga, and subsidised sports clubs. Enhanced parental leave, and support for parents returning to work. All. The. Fun. We regularly organise awesome socials and have some vibrant team communities such as book club and foodies. Depending on relevant experience, this salary range is negotiable. About our commitment Urban Jungle is an equal opportunity employer and fairness and respect are at the heart of who we are and how we work. We do not discriminate based on race, age, ethnicity, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity or disability. We know that in order to build a truly successful business, we need a team of diverse individuals who can offer a variety of skills, experiences and perspectives.
Overview Job Description Please note: Any offer of employment is subject to satisfactory SC security clearance which requires 5 years continuous UK address history, typically including no periods of 30 consecutive days or more spent outside of the UK. The above information relates to a specific client requirement. Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise and diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. "Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO As a team Accenture Software & Platform Engineering is powered by a community of 1,000+ experts and provides end-to-end product engineering solutions which deliver tangible value, fast. We bring together an obsession for technical excellence with agility and scale, to help clients move from project to product at speed. We partner with clients across all sectors-from fast-growing scale-ups to national and global blue-chip companies, as well as public sector organizations. Our teams regularly develop products that reach and impact millions of users. As a member of our Software & Platform Engineering team, you will Develop traditional and serverless applications and services in an agile and collaborative environment using source control that integrate with data storage services / message buses and other architectural elements Deploy these applications using features such as containers to cloud leveraging CI/CD to support this process backed with good observability when running these in production Ensure quality through the creation of documentation and use of unit / integration / contract testing with a consideration of security / performance requirements. Qualification We are looking for experience in the following skills: A few years of industry experience in one of following: Java / Typescript / C# / Python / Go. Experience with Cloud Native technologies on AWS. Hands-on experience in scripting languages such as Python, Shell, and other scripting languages to support DevOps and Quality Engineering work. Build automation tools to support CI/CD pipeline. Hands-on experience with GenAI, or evidence of actively pursuing personal GenAI projects outside of work. Strong Accessibility, Security, Performance and Caching coding. Set yourself apart A creative and analytical approach to problem-solving. Strong debugging and troubleshooting skills to resolve complex technical issues. Excellent communication and collaboration skills to work effectively in diverse teams. Proven experience shaping and delivering work across small to medium-sized projects Experience in Financial Services. What is in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes up to 25 days' vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first-class services we are known for. Locations Leeds Additional Information Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well-being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces. Join Accenture to work at the heart of change. Visit us at .
Apr 10, 2026
Full time
Overview Job Description Please note: Any offer of employment is subject to satisfactory SC security clearance which requires 5 years continuous UK address history, typically including no periods of 30 consecutive days or more spent outside of the UK. The above information relates to a specific client requirement. Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise and diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. "Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO As a team Accenture Software & Platform Engineering is powered by a community of 1,000+ experts and provides end-to-end product engineering solutions which deliver tangible value, fast. We bring together an obsession for technical excellence with agility and scale, to help clients move from project to product at speed. We partner with clients across all sectors-from fast-growing scale-ups to national and global blue-chip companies, as well as public sector organizations. Our teams regularly develop products that reach and impact millions of users. As a member of our Software & Platform Engineering team, you will Develop traditional and serverless applications and services in an agile and collaborative environment using source control that integrate with data storage services / message buses and other architectural elements Deploy these applications using features such as containers to cloud leveraging CI/CD to support this process backed with good observability when running these in production Ensure quality through the creation of documentation and use of unit / integration / contract testing with a consideration of security / performance requirements. Qualification We are looking for experience in the following skills: A few years of industry experience in one of following: Java / Typescript / C# / Python / Go. Experience with Cloud Native technologies on AWS. Hands-on experience in scripting languages such as Python, Shell, and other scripting languages to support DevOps and Quality Engineering work. Build automation tools to support CI/CD pipeline. Hands-on experience with GenAI, or evidence of actively pursuing personal GenAI projects outside of work. Strong Accessibility, Security, Performance and Caching coding. Set yourself apart A creative and analytical approach to problem-solving. Strong debugging and troubleshooting skills to resolve complex technical issues. Excellent communication and collaboration skills to work effectively in diverse teams. Proven experience shaping and delivering work across small to medium-sized projects Experience in Financial Services. What is in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes up to 25 days' vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first-class services we are known for. Locations Leeds Additional Information Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well-being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces. Join Accenture to work at the heart of change. Visit us at .
AI Engineer - Agentic AI (Training & Enablement) Who we are:We deliver powerful data and AI solutions that minimize operational costs, strengthen resilience against risk, and uncover revenue opportunities. Clients can retain expert teams to drive lasting adoption while futureproofing their workforce with exceptional talent. Since 2016, more than 3,000 data & AI specialists have been created by removing systemic barriers to the tech industry. Incredible minds from all backgrounds are trained to become part of a diverse team of experts. Work spans a broad range of industries, including financial services, insurance, asset management, pharmaceuticals, energy and natural resources, retail, healthcare, manufacturing, and mobility. As a preferred partner of today's leading technology providers - such as Databricks, Snowflake and Collibra - delivery As an AI Engineer (Agentic AI) within our AI Engineering Training & Enablement capability, you will play a hands on role in developing, testing, and evolving agentic AI systems while contributing to the development and delivery of high quality technical training. This is a learning focused engineering role, combining practical AI engineering with the ability to contribute and deliver training labs, exercises, and technical artefacts that underpin our training offer. You will act as a technical contributor and subject matter specialist, supporting trainers, learners, and-where appropriate-commercial or client facing teams by demonstrating the real world credibility of our AI engineering practices. Key Responsibilities Agentic AI Engineering & Practical Enablement Design, build, and maintain diverse AI systems, ranging from classical machine learning pipelines to advanced agentic AI architectures (tool using agents, RAG, orchestration). Develop production ready reference implementations that demonstrate best practices in software engineering, including testing, version control, and CI/CD for AI applications. Create and maintain robust engineering environments, including containerised setups and cloud infrastructure, to support technical enablement and experimentation. Act as a subject matter expert on the full AI lifecycle, providing technical guidance on data preparation, model training, MLOps, and deployment strategies. Experiment with new agentic patterns, tools, and frameworks and translate learnings into practical training artefacts. Training Delivery & Learner Support Lead technical sessions and workshops covering the full spectrum of AI engineering, from foundational Python and statistics to deep learning and Generative AI. Mentor junior engineers and consultants, helping them debug complex issues across data pipelines, infrastructure configuration, and model development. Continuously refine technical artefacts and exercises to ensure they reflect current industry standards and realistic enterprise challenges. Engineering Standards, Evaluation & Responsible AI Embed evaluation practices into agentic AI builds, including benchmarking, regression testing, and failure mode inspection. Contribute to responsible AI patterns within training content (data boundaries, permissions, guardrails). Ensure training artefacts reflect modern engineering standards and realistic enterprise constraints. Collaboration & Capability Development Work closely with trainers, architects, and senior engineers to align training content with best practice. Contribute to internal policy and standards documentation, knowledge sharing, and centres of excellence. Support onboarding and enablement of new trainers or engineers. Lead internal demos, showcases, or events highlighting agentic AI capability. Key Requirements Experience 3-6+ years in software engineering, Data Science, or Machine Learning Engineering roles, with a track record of building and deploying production systems. Technical Skills Core Engineering: Expert proficiency in Python (writing modular, production quality code) and strong working knowledge of SQL and database design. Maths & Statistics: Strong grasp of probability theory, statistical analysis, and linear algebra, with the ability to apply these concepts to real world data problems. Classical Machine Learning: Deep practical knowledge of standard ML algorithms (regression, classification, clustering, ensemble methods) and libraries (scikit learn, pandas). Infrastructure & Containers: Hands on experience with containerisation (Docker) and orchestration (Kubernetes), including how to package and run AI applications in these environments. MLOps & Deployment: Proficiency with MLOps frameworks (specifically MLflow) for experiment tracking and model lifecycle management, as well as experience deploying models as APIs (FastAPI/Flask). Generative AI: Experience building applications with LLMs, including prompt engineering, RAG architectures, and vector databases. Rapid Prototyping: Proficiency in guiding AI coding assistants to rapidly generate and refine functional web interfaces (e.g., Streamlit, React) for agentic demos. Cloud Platforms: Proven experience developing and deploying AI solutions on Azure (specifically Azure ML and Cognitive Services) or equivalent AWS/GCP services. DevOps: Familiarity with modern DevOps practices, including Git based workflows and CI/CD pipelines (e.g., GitHub Actions, Azure DevOps). Agile Product Delivery: Familiarity with agile product delivery and requirements engineering practices. Ways of Working A genuine passion for upskilling others, with a patient and collaborative approach to code reviews and technical problem solving. Exceptional ability to explain complex engineering and mathematical concepts to audiences with varying levels of technical expertise. Collaborative approach suited to a team oriented, learning focused environment. Self directed and proactive - the ability to navigate uncertainty and ambiguity with business and technical stakeholders to co create value.
Apr 10, 2026
Full time
AI Engineer - Agentic AI (Training & Enablement) Who we are:We deliver powerful data and AI solutions that minimize operational costs, strengthen resilience against risk, and uncover revenue opportunities. Clients can retain expert teams to drive lasting adoption while futureproofing their workforce with exceptional talent. Since 2016, more than 3,000 data & AI specialists have been created by removing systemic barriers to the tech industry. Incredible minds from all backgrounds are trained to become part of a diverse team of experts. Work spans a broad range of industries, including financial services, insurance, asset management, pharmaceuticals, energy and natural resources, retail, healthcare, manufacturing, and mobility. As a preferred partner of today's leading technology providers - such as Databricks, Snowflake and Collibra - delivery As an AI Engineer (Agentic AI) within our AI Engineering Training & Enablement capability, you will play a hands on role in developing, testing, and evolving agentic AI systems while contributing to the development and delivery of high quality technical training. This is a learning focused engineering role, combining practical AI engineering with the ability to contribute and deliver training labs, exercises, and technical artefacts that underpin our training offer. You will act as a technical contributor and subject matter specialist, supporting trainers, learners, and-where appropriate-commercial or client facing teams by demonstrating the real world credibility of our AI engineering practices. Key Responsibilities Agentic AI Engineering & Practical Enablement Design, build, and maintain diverse AI systems, ranging from classical machine learning pipelines to advanced agentic AI architectures (tool using agents, RAG, orchestration). Develop production ready reference implementations that demonstrate best practices in software engineering, including testing, version control, and CI/CD for AI applications. Create and maintain robust engineering environments, including containerised setups and cloud infrastructure, to support technical enablement and experimentation. Act as a subject matter expert on the full AI lifecycle, providing technical guidance on data preparation, model training, MLOps, and deployment strategies. Experiment with new agentic patterns, tools, and frameworks and translate learnings into practical training artefacts. Training Delivery & Learner Support Lead technical sessions and workshops covering the full spectrum of AI engineering, from foundational Python and statistics to deep learning and Generative AI. Mentor junior engineers and consultants, helping them debug complex issues across data pipelines, infrastructure configuration, and model development. Continuously refine technical artefacts and exercises to ensure they reflect current industry standards and realistic enterprise challenges. Engineering Standards, Evaluation & Responsible AI Embed evaluation practices into agentic AI builds, including benchmarking, regression testing, and failure mode inspection. Contribute to responsible AI patterns within training content (data boundaries, permissions, guardrails). Ensure training artefacts reflect modern engineering standards and realistic enterprise constraints. Collaboration & Capability Development Work closely with trainers, architects, and senior engineers to align training content with best practice. Contribute to internal policy and standards documentation, knowledge sharing, and centres of excellence. Support onboarding and enablement of new trainers or engineers. Lead internal demos, showcases, or events highlighting agentic AI capability. Key Requirements Experience 3-6+ years in software engineering, Data Science, or Machine Learning Engineering roles, with a track record of building and deploying production systems. Technical Skills Core Engineering: Expert proficiency in Python (writing modular, production quality code) and strong working knowledge of SQL and database design. Maths & Statistics: Strong grasp of probability theory, statistical analysis, and linear algebra, with the ability to apply these concepts to real world data problems. Classical Machine Learning: Deep practical knowledge of standard ML algorithms (regression, classification, clustering, ensemble methods) and libraries (scikit learn, pandas). Infrastructure & Containers: Hands on experience with containerisation (Docker) and orchestration (Kubernetes), including how to package and run AI applications in these environments. MLOps & Deployment: Proficiency with MLOps frameworks (specifically MLflow) for experiment tracking and model lifecycle management, as well as experience deploying models as APIs (FastAPI/Flask). Generative AI: Experience building applications with LLMs, including prompt engineering, RAG architectures, and vector databases. Rapid Prototyping: Proficiency in guiding AI coding assistants to rapidly generate and refine functional web interfaces (e.g., Streamlit, React) for agentic demos. Cloud Platforms: Proven experience developing and deploying AI solutions on Azure (specifically Azure ML and Cognitive Services) or equivalent AWS/GCP services. DevOps: Familiarity with modern DevOps practices, including Git based workflows and CI/CD pipelines (e.g., GitHub Actions, Azure DevOps). Agile Product Delivery: Familiarity with agile product delivery and requirements engineering practices. Ways of Working A genuine passion for upskilling others, with a patient and collaborative approach to code reviews and technical problem solving. Exceptional ability to explain complex engineering and mathematical concepts to audiences with varying levels of technical expertise. Collaborative approach suited to a team oriented, learning focused environment. Self directed and proactive - the ability to navigate uncertainty and ambiguity with business and technical stakeholders to co create value.
Staff AI/ML Engineer Next-Gen SaaS Platform London (Hybrid) £100-145k We're hiring Staff AI/ML Engineers to help build cutting edge LLM powered systems and agentic AI workflows for a rapidly growing PE Backed business who have developed an AI Driven SaaS platform used by 1,000+ global customers. They're scaling rapidly, now with 100+ people in tech across London and the US, and recently brought on a Director of AI Engineering to drive innovation in with a brand new squad. This role in particular focuses on building production AI systems that analyse complex documents, extract structured knowledge, and automate high value workflows using modern LLM infrastructure. What you'll be doing: As their Staff AI/ML Engineer, you'll play a key role in designing and delivering advanced AI systems that power intelligent document analysis, knowledge extraction, and AI driven automation across the platform. Working closely with product and engineering teams, you'll help shape the company's AI architecture, tooling, and best practices while building scalable ML systems deployed in production. Your day to day will include: Design and deploy LLM powered systems for information extraction, document understanding, and knowledge retrieval Build agentic AI workflows to orchestrate LLMs, tools, and structured data for complex automation Develop and optimize ML pipelines and data workflows for training, evaluation, and deployment Leverage AI platforms like AWS Bedrock, SageMaker, and Vertex AI to scale capabilities Collaborate with engineers and product teams to integrate AI into the platform Mentor engineers and guide AI/ML best practices, architecture, and strategy What they're looking for in you: Strong experience in AI/ML engineering and deploying production ML systems Experience with LLMs, agentic AI frameworks, or information extraction pipelines Proficiency in Python (Java or Rust a bonus) Familiarity with cloud AI platforms (AWS, GCP, or Azure) and MLOps workflows Passion for using AI to solve real world problems What's in it for you Salary:up to £145,000 High impact role:work in a small, innovative team with a clear roadmap for career progression Flexible working:hybrid setup, typically two days per week in the Central London office Benefits:25 days annual leave, enhanced pension plan, medical insurance, and more If you're excited by the idea of building real world AI systems using LLMs, agentic workflows, and advanced information extraction techniques, this is a fantastic opportunity to join a company investing heavily in AI innovation and product development.
Apr 10, 2026
Full time
Staff AI/ML Engineer Next-Gen SaaS Platform London (Hybrid) £100-145k We're hiring Staff AI/ML Engineers to help build cutting edge LLM powered systems and agentic AI workflows for a rapidly growing PE Backed business who have developed an AI Driven SaaS platform used by 1,000+ global customers. They're scaling rapidly, now with 100+ people in tech across London and the US, and recently brought on a Director of AI Engineering to drive innovation in with a brand new squad. This role in particular focuses on building production AI systems that analyse complex documents, extract structured knowledge, and automate high value workflows using modern LLM infrastructure. What you'll be doing: As their Staff AI/ML Engineer, you'll play a key role in designing and delivering advanced AI systems that power intelligent document analysis, knowledge extraction, and AI driven automation across the platform. Working closely with product and engineering teams, you'll help shape the company's AI architecture, tooling, and best practices while building scalable ML systems deployed in production. Your day to day will include: Design and deploy LLM powered systems for information extraction, document understanding, and knowledge retrieval Build agentic AI workflows to orchestrate LLMs, tools, and structured data for complex automation Develop and optimize ML pipelines and data workflows for training, evaluation, and deployment Leverage AI platforms like AWS Bedrock, SageMaker, and Vertex AI to scale capabilities Collaborate with engineers and product teams to integrate AI into the platform Mentor engineers and guide AI/ML best practices, architecture, and strategy What they're looking for in you: Strong experience in AI/ML engineering and deploying production ML systems Experience with LLMs, agentic AI frameworks, or information extraction pipelines Proficiency in Python (Java or Rust a bonus) Familiarity with cloud AI platforms (AWS, GCP, or Azure) and MLOps workflows Passion for using AI to solve real world problems What's in it for you Salary:up to £145,000 High impact role:work in a small, innovative team with a clear roadmap for career progression Flexible working:hybrid setup, typically two days per week in the Central London office Benefits:25 days annual leave, enhanced pension plan, medical insurance, and more If you're excited by the idea of building real world AI systems using LLMs, agentic workflows, and advanced information extraction techniques, this is a fantastic opportunity to join a company investing heavily in AI innovation and product development.
White Collar Factory (95009), United Kingdom, London, London Staff Software Engineer - Back End About this role Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex business problems and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders who drive engineering excellence, foster innovation, and deliver impactful solutions that meet real customer needs. What You'll Do Own and drive the technical strategy for a significant business outcome or technology domain, spanning multiple teams and influencing the overall technical direction Lead and coordinate the efforts of multiple teams, ensuring their collective work aligns with broader business objectives and technology strategy Proactively identify emerging patterns, define and evangelise best practices, and establish reusable frameworks that enhance engineering productivity Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, and architects Represent Capital One in external technical forums, contributing to vendor/industry discussions Drive service quality standards and practices for your domain, guiding complex incident resolution Develop and advocate for strategies to proactively manage technical debt across multiple teams Actively mentor and develop engineers, fostering a culture of continuous learning What we're looking for Deep expertise in Java Deep expertise in system design and distributed architectures Track record of leading technical initiatives across multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Proven experience setting a multi-team technical vision and strategy Strong track record of technical leadership and influence without authority Experience driving engineering standards and best practices across organisations Experience of steering Communities of Practice or technical forums Strong business acumen and ability to translate technical concepts for various audiences Where and how you'll work This is a permanent position based in our London office. We have a hybrid working model which gives you flexibility to work from our office and from home. We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Enabled - focused on supporting associates with disabilities and neurodiversity Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
Apr 10, 2026
Full time
White Collar Factory (95009), United Kingdom, London, London Staff Software Engineer - Back End About this role Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex business problems and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders who drive engineering excellence, foster innovation, and deliver impactful solutions that meet real customer needs. What You'll Do Own and drive the technical strategy for a significant business outcome or technology domain, spanning multiple teams and influencing the overall technical direction Lead and coordinate the efforts of multiple teams, ensuring their collective work aligns with broader business objectives and technology strategy Proactively identify emerging patterns, define and evangelise best practices, and establish reusable frameworks that enhance engineering productivity Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, and architects Represent Capital One in external technical forums, contributing to vendor/industry discussions Drive service quality standards and practices for your domain, guiding complex incident resolution Develop and advocate for strategies to proactively manage technical debt across multiple teams Actively mentor and develop engineers, fostering a culture of continuous learning What we're looking for Deep expertise in Java Deep expertise in system design and distributed architectures Track record of leading technical initiatives across multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Proven experience setting a multi-team technical vision and strategy Strong track record of technical leadership and influence without authority Experience driving engineering standards and best practices across organisations Experience of steering Communities of Practice or technical forums Strong business acumen and ability to translate technical concepts for various audiences Where and how you'll work This is a permanent position based in our London office. We have a hybrid working model which gives you flexibility to work from our office and from home. We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Enabled - focused on supporting associates with disabilities and neurodiversity Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
White Collar Factory (95009), United Kingdom, London, London Engineering Manager - Software & ML About this role We are looking for a Software Engineering Manager who brings a solid foundation in modern development and some experience with Machine Learning environments . You'll lead and grow a team that builds the core software powering our data-driven financial products, ensuring our models are integrated into seamless, consumer-facing experiences. What you'll do Lead & Scale: Support a cross-functional group of engineers to design, develop, and integrate software features that are vital to the lives of credit card consumers. Nurture Talent: Coach and nurture your engineers, including those working on ML integration to achieve their technical, business, and personal goals. Bridge the Gap: Collaborate with Product Managers and Data Scientists to ensure ML models are effectively integrated into our production software. Build Robust Systems: Oversee the development of platforms that are performant, secure, and capable of handling the unique deployment needs of AI-powered features. Optimize Delivery: Enhance engineering and agile processes, ensuring that model updates and software releases move in sync. What we're looking for Leadership Excellence: Proven experience leading and supporting software engineering teams to achieve business goals. Technical Breadth: Excellent knowledge of RESTful API development in modern languages (Java, Python, or .Net) and experience with Cloud environments (AWS or Azure). AI Awareness: You aren't necessarily a researcher, but you have expectations of how AI fits into the stack . You understand the basics of model inference, data requirements, and how to manage the non-deterministic nature of AI. Strategic Thinking: Comfortable making technical trade-offs between the need for rapid experimentation and long-term architectural stability. Collaborative Mindset: Ability to communicate effectively across engineering teams to maximize inner-sourcing and reduce technical debt. What you'll get to learn ML Integration at Scale: How to take machine learning models out of the lab and into a high-concurrency production environment. Regulated AI: Navigating the complexities of fairness and transparency in a regulated financial landscape. Cloud Evolution: Deepening your expertise in AWS/Cloud native tools that support modern intelligent applications. Where and how you'll work This is a permanent position based in either our London or Nottingham offices. We have a hybrid working model. You'll be based in the office 3 days a week (Tuesdays, Wednesdays, and Thursdays) to foster team connection and collaboration. What's in it for you Innovation Time: We give you 10% of your time to work on cutting-edge projects-whether that's exploring new AI frameworks or building internal tools. Growth: Access to Capital One University and external training to help you grow as both a leader and a technical strategist. Total Reward: Competitive salary, performance bonus, and immediate access to core benefits (pension, private medical, and generous holiday). World-Class Facilities: From our Nottingham gym and music rooms to our London rooftop running track and premium coffee bars. Our Commitment to Diversity We pride ourselves on hiring the best people, not the same people. We partner with organisations like Women in Tech and Stonewall to ensure we build teams that reflect the customers we serve. We offer a host of internal networks including REACH (Race Equality and Culture Heritage), OutFront (LGBTQ+ support), and Mind Your Mind . Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
Apr 10, 2026
Full time
White Collar Factory (95009), United Kingdom, London, London Engineering Manager - Software & ML About this role We are looking for a Software Engineering Manager who brings a solid foundation in modern development and some experience with Machine Learning environments . You'll lead and grow a team that builds the core software powering our data-driven financial products, ensuring our models are integrated into seamless, consumer-facing experiences. What you'll do Lead & Scale: Support a cross-functional group of engineers to design, develop, and integrate software features that are vital to the lives of credit card consumers. Nurture Talent: Coach and nurture your engineers, including those working on ML integration to achieve their technical, business, and personal goals. Bridge the Gap: Collaborate with Product Managers and Data Scientists to ensure ML models are effectively integrated into our production software. Build Robust Systems: Oversee the development of platforms that are performant, secure, and capable of handling the unique deployment needs of AI-powered features. Optimize Delivery: Enhance engineering and agile processes, ensuring that model updates and software releases move in sync. What we're looking for Leadership Excellence: Proven experience leading and supporting software engineering teams to achieve business goals. Technical Breadth: Excellent knowledge of RESTful API development in modern languages (Java, Python, or .Net) and experience with Cloud environments (AWS or Azure). AI Awareness: You aren't necessarily a researcher, but you have expectations of how AI fits into the stack . You understand the basics of model inference, data requirements, and how to manage the non-deterministic nature of AI. Strategic Thinking: Comfortable making technical trade-offs between the need for rapid experimentation and long-term architectural stability. Collaborative Mindset: Ability to communicate effectively across engineering teams to maximize inner-sourcing and reduce technical debt. What you'll get to learn ML Integration at Scale: How to take machine learning models out of the lab and into a high-concurrency production environment. Regulated AI: Navigating the complexities of fairness and transparency in a regulated financial landscape. Cloud Evolution: Deepening your expertise in AWS/Cloud native tools that support modern intelligent applications. Where and how you'll work This is a permanent position based in either our London or Nottingham offices. We have a hybrid working model. You'll be based in the office 3 days a week (Tuesdays, Wednesdays, and Thursdays) to foster team connection and collaboration. What's in it for you Innovation Time: We give you 10% of your time to work on cutting-edge projects-whether that's exploring new AI frameworks or building internal tools. Growth: Access to Capital One University and external training to help you grow as both a leader and a technical strategist. Total Reward: Competitive salary, performance bonus, and immediate access to core benefits (pension, private medical, and generous holiday). World-Class Facilities: From our Nottingham gym and music rooms to our London rooftop running track and premium coffee bars. Our Commitment to Diversity We pride ourselves on hiring the best people, not the same people. We partner with organisations like Women in Tech and Stonewall to ensure we build teams that reflect the customers we serve. We offer a host of internal networks including REACH (Race Equality and Culture Heritage), OutFront (LGBTQ+ support), and Mind Your Mind . Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
White Collar Factory (95009), United Kingdom, London, London Senior Software Engineering Manager What you'll do You'll support a cross-functional group of 3 to 4 engineering teams to design, develop and integrate software features that are delightful and vital to the lives of credit card consumers across all walks of life Coach and nurture your engineering managers on how to build, empower and operate teams to achieve their goals Collaborate with product managers and designers on the overall product roadmap for a key business goal Provide sound stewardship of the platform and capabilities created and owned by your teams Be part of the engineering leadership team that evolves and enhances our capability, by defining and adopting best practices Play a lead role in the development of your teams culture, their vision and how they achieve it Work with associates across the business to identify, lead and drive change that impacts associates beyond your team What we're looking for You'll have experience in leading and supporting multi-disciplined engineering teams to achieve business goals You're comfortable in reaching technical trade-offs between short-term team and long-term business needs You're passionate about recruiting and developing great engineering talent You'll demonstrate the ability to communicate effectively and work together across engineering to maximise inner-sourcing opportunities and reduce waste What you'll get to learn (any previous experience would be advantageous) An in-depth understanding and experience working with the cloud/AWS and the opportunities that it brings Solving real world problems and being comfortable working in a complex regulated environment Where and how you'll work This is a permanent position and can be based in either our London or Nottingham office. We have a hybrid working model which gives you flexibility to work from our offices and from home. We're big on collaboration and connection, so you'll be based in our office 3 days a week on Tuesdays, Wednesdays and Thursdays. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
Apr 10, 2026
Full time
White Collar Factory (95009), United Kingdom, London, London Senior Software Engineering Manager What you'll do You'll support a cross-functional group of 3 to 4 engineering teams to design, develop and integrate software features that are delightful and vital to the lives of credit card consumers across all walks of life Coach and nurture your engineering managers on how to build, empower and operate teams to achieve their goals Collaborate with product managers and designers on the overall product roadmap for a key business goal Provide sound stewardship of the platform and capabilities created and owned by your teams Be part of the engineering leadership team that evolves and enhances our capability, by defining and adopting best practices Play a lead role in the development of your teams culture, their vision and how they achieve it Work with associates across the business to identify, lead and drive change that impacts associates beyond your team What we're looking for You'll have experience in leading and supporting multi-disciplined engineering teams to achieve business goals You're comfortable in reaching technical trade-offs between short-term team and long-term business needs You're passionate about recruiting and developing great engineering talent You'll demonstrate the ability to communicate effectively and work together across engineering to maximise inner-sourcing opportunities and reduce waste What you'll get to learn (any previous experience would be advantageous) An in-depth understanding and experience working with the cloud/AWS and the opportunities that it brings Solving real world problems and being comfortable working in a complex regulated environment Where and how you'll work This is a permanent position and can be based in either our London or Nottingham office. We have a hybrid working model which gives you flexibility to work from our offices and from home. We're big on collaboration and connection, so you'll be based in our office 3 days a week on Tuesdays, Wednesdays and Thursdays. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
MCS Group is working with an AI enabled software house who is seeking an experienced Contract Data Engineer to support a key automation initiative. This role will focus on building scalable automation across their data platform while supporting migration and modernisation of existing data infrastructure. This is an excellent contract/project for someone who has previously worked on data migration, cloud transformation, or platform modernisation projects, and enjoys building robust, automated data solutions in a cloud-first environment. The Role Design, build, and maintain scalable data pipelines and automation for data ingestion, transformation, and delivery. Develop and optimise SQL-based data models across large relational databases. Build and manage AWS-based data infrastructure using services such as Redshift, Glue, Lambda, S3, and Athena. Implement and maintain ETL/ELT pipelines to integrate data from multiple systems. Support data platform migration and modernisation initiatives. Ensure high standards of data quality, performance optimisation, and governance. Contribute to DevOps and automation practices, including infrastructure-as-code and CI/CD where appropriate. The Person Extensive proven experience as a Data Engineer is essential. Strong hands-on expertise with large relational databases and advanced SQL optimisation. Experience working with AWS data services is essential (including Redshift, Glue, Lambda, S3, and Athena.) Strong experience building ETL/ELT pipelines and data integration workflows. Experience with Python, Spark, or other data processing technologies. Familiarity with Terraform, CI/CD pipelines, and infrastructure-as-code practices. IR35: Outside Duration: 6 months Rate: £410 per day Location: Belfast or London - Please note, in-office working is required in either location To speak in absolute confidence about this opportunity please send an up-to-date CV via the link provided or contact Jill Johnston, Head of IT Contracts, at MCS Group Even if this position is not right for you, we may have others that are. Please visit MCS Group to view a wide selection of our current jobs MCS Group is committed to Equality, Diversity, and Inclusion for all, being the first recruitment agency in NI to achieve Bronze Diversity Mark accreditation, if you have a disability which means you require a reasonable adjustment to be considered at any stage of the recruitment process, please contact us and we will endeavour to facilitate the request. Not all agencies are the same MCS Group are passionate about providing a first-class service to all our customers and have an independent review rating of 4.9 stars on Google.
Apr 10, 2026
Full time
MCS Group is working with an AI enabled software house who is seeking an experienced Contract Data Engineer to support a key automation initiative. This role will focus on building scalable automation across their data platform while supporting migration and modernisation of existing data infrastructure. This is an excellent contract/project for someone who has previously worked on data migration, cloud transformation, or platform modernisation projects, and enjoys building robust, automated data solutions in a cloud-first environment. The Role Design, build, and maintain scalable data pipelines and automation for data ingestion, transformation, and delivery. Develop and optimise SQL-based data models across large relational databases. Build and manage AWS-based data infrastructure using services such as Redshift, Glue, Lambda, S3, and Athena. Implement and maintain ETL/ELT pipelines to integrate data from multiple systems. Support data platform migration and modernisation initiatives. Ensure high standards of data quality, performance optimisation, and governance. Contribute to DevOps and automation practices, including infrastructure-as-code and CI/CD where appropriate. The Person Extensive proven experience as a Data Engineer is essential. Strong hands-on expertise with large relational databases and advanced SQL optimisation. Experience working with AWS data services is essential (including Redshift, Glue, Lambda, S3, and Athena.) Strong experience building ETL/ELT pipelines and data integration workflows. Experience with Python, Spark, or other data processing technologies. Familiarity with Terraform, CI/CD pipelines, and infrastructure-as-code practices. IR35: Outside Duration: 6 months Rate: £410 per day Location: Belfast or London - Please note, in-office working is required in either location To speak in absolute confidence about this opportunity please send an up-to-date CV via the link provided or contact Jill Johnston, Head of IT Contracts, at MCS Group Even if this position is not right for you, we may have others that are. Please visit MCS Group to view a wide selection of our current jobs MCS Group is committed to Equality, Diversity, and Inclusion for all, being the first recruitment agency in NI to achieve Bronze Diversity Mark accreditation, if you have a disability which means you require a reasonable adjustment to be considered at any stage of the recruitment process, please contact us and we will endeavour to facilitate the request. Not all agencies are the same MCS Group are passionate about providing a first-class service to all our customers and have an independent review rating of 4.9 stars on Google.
Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Introduction to team Our Technology Team partners with teams across Expedia Group to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction. Price is a key factor influencing traveler's path to driving a choice leading to a purchase. In a world of infinite paths to purchase, travelers make multiple searches and find the 'best trip' and 'best deal'. The Offers Domain team is tasked with giving the customer a simple, clear, accurate, transparent pricing throughout their shopping and booking journeys. We do this by putting the customer first, creating capabilities that can be shared and presented to the customer that meet the travelers' expectations in locally relevant ways and adhere to regulatory norms. This is a great opportunity for you to play a pivotal role in shaping our technical domain with the goal of powering all Expedia Group's brands and product lines. In this role, you will: Design and implement scalable, robust, and maintainable systems and services across multiple domains, with a focus on reliability and performance. Develop complex application logic, APIs, and data models aligned to business goals and best engineering practices. Collaborate with cross-functional teams to deliver high-quality, full-stack solutions that integrate seamlessly across platforms. Lead technical efforts in system architecture, code reviews, and establishing engineering standards. Safely integrate and operate AI/ML-enabled solutions that improve outcomes, ensuring responsible use of advanced technologies. Proactively identify, diagnose, and resolve production issues, continuously improving system health and operational excellence. Minimum Qualifications: Bachelor's degree in Computer Science or a related technical field; or equivalent related professional experience. 5+ years of relevant professional experience. Strong software engineering fundamentals-data structures, and algorithms in Java or Kotlin, with familiarity across the JVM stack, system design, and distributed systems-and can understand highly complex systems, design moderately complex services, and guide integrations across teams within the business unit. Building and operating high performance, highly available backend services in public/hybrid cloud environments (Kotlin strongly preferred). Demonstrated experience leading engineering efforts for services operating at scale in a cloud environment (preferably AWS), including deploying and operating services using platform tooling and/or infrastructure as code. Hands-on experience designing, building, and operating large-scale, distributed systems and services. Strong proficiency in system design, API design, and data modeling. Experience using modern AI assisted development tools (for example, IDE assistants, chat based coding agents, or AI augmented code review/testing tools) as part of your daily workflow, beyond simple code autocompletion, and are comfortable working in an AI integrated environment. Preferred Qualifications: Experience with container technologies (such as Kubernetes) and CI/CD tools or processes. Expertise in architecting end-to-end solutions integrating multiple systems or domains. Strong focus on operational excellence, including monitoring, automation, and incident response. Data-driven approach to problem solving and technical decision making, including leveraging AI/ML insights where appropriate. Deep knowledge of safely integrating AI/ML features into production systems and optimizing their impact at scale. On-Call Requirement This position requires the employee to be on-call outside of regular working hours. On-call duties encompass: Responding to emergencies or incidents as they arise Providing prompt support and solutions Participating in on-call rotations, including nights, weekends, and bank holidays Remaining reachable by phone or other communication methods at all times during on-call periods Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia Expedia Partner Solutions, Vrbo , trivago , Orbitz , Travelocity , Hotwire , Wotif , ebookers , CheapTickets , Expedia Group Media Solutions, Expedia Local Expert and Expedia Cruises . 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: -50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is The official website to find and apply for job openings at Expedia Group is Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
Apr 10, 2026
Full time
Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Introduction to team Our Technology Team partners with teams across Expedia Group to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction. Price is a key factor influencing traveler's path to driving a choice leading to a purchase. In a world of infinite paths to purchase, travelers make multiple searches and find the 'best trip' and 'best deal'. The Offers Domain team is tasked with giving the customer a simple, clear, accurate, transparent pricing throughout their shopping and booking journeys. We do this by putting the customer first, creating capabilities that can be shared and presented to the customer that meet the travelers' expectations in locally relevant ways and adhere to regulatory norms. This is a great opportunity for you to play a pivotal role in shaping our technical domain with the goal of powering all Expedia Group's brands and product lines. In this role, you will: Design and implement scalable, robust, and maintainable systems and services across multiple domains, with a focus on reliability and performance. Develop complex application logic, APIs, and data models aligned to business goals and best engineering practices. Collaborate with cross-functional teams to deliver high-quality, full-stack solutions that integrate seamlessly across platforms. Lead technical efforts in system architecture, code reviews, and establishing engineering standards. Safely integrate and operate AI/ML-enabled solutions that improve outcomes, ensuring responsible use of advanced technologies. Proactively identify, diagnose, and resolve production issues, continuously improving system health and operational excellence. Minimum Qualifications: Bachelor's degree in Computer Science or a related technical field; or equivalent related professional experience. 5+ years of relevant professional experience. Strong software engineering fundamentals-data structures, and algorithms in Java or Kotlin, with familiarity across the JVM stack, system design, and distributed systems-and can understand highly complex systems, design moderately complex services, and guide integrations across teams within the business unit. Building and operating high performance, highly available backend services in public/hybrid cloud environments (Kotlin strongly preferred). Demonstrated experience leading engineering efforts for services operating at scale in a cloud environment (preferably AWS), including deploying and operating services using platform tooling and/or infrastructure as code. Hands-on experience designing, building, and operating large-scale, distributed systems and services. Strong proficiency in system design, API design, and data modeling. Experience using modern AI assisted development tools (for example, IDE assistants, chat based coding agents, or AI augmented code review/testing tools) as part of your daily workflow, beyond simple code autocompletion, and are comfortable working in an AI integrated environment. Preferred Qualifications: Experience with container technologies (such as Kubernetes) and CI/CD tools or processes. Expertise in architecting end-to-end solutions integrating multiple systems or domains. Strong focus on operational excellence, including monitoring, automation, and incident response. Data-driven approach to problem solving and technical decision making, including leveraging AI/ML insights where appropriate. Deep knowledge of safely integrating AI/ML features into production systems and optimizing their impact at scale. On-Call Requirement This position requires the employee to be on-call outside of regular working hours. On-call duties encompass: Responding to emergencies or incidents as they arise Providing prompt support and solutions Participating in on-call rotations, including nights, weekends, and bank holidays Remaining reachable by phone or other communication methods at all times during on-call periods Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia Expedia Partner Solutions, Vrbo , trivago , Orbitz , Travelocity , Hotwire , Wotif , ebookers , CheapTickets , Expedia Group Media Solutions, Expedia Local Expert and Expedia Cruises . 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: -50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is The official website to find and apply for job openings at Expedia Group is Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.