Overview We are looking for a skilled Data Engineer with strong experience in Snowflake to join our growing data team. You will be responsible for designing, building, and maintaining scalable data pipelines and architectures that support analytics, reporting, and data-driven decision-making across the organization. 6 months initial contract (OUTSIDE IR35) Remote with occasional travel into London (1 day per month) Key Responsibilities Design, develop, and maintain robust data pipelines and ETL/ELT processes Build and optimize data models within Snowflake for performance and scalability Ingest data from various sources (APIs, databases, streaming platforms, etc.) Ensure data quality, integrity, and governance across systems Collaborate with data analysts, scientists, and business stakeholders to deliver data solutions Monitor and troubleshoot data workflows and pipeline performance Implement best practices for data security, privacy, and compliance Document data architecture, processes, and workflows Required Skills & Experience Proven experience as a Data Engineer or in a similar role Strong hands-on experience with Snowflake data platform Proficiency in SQL and data modeling techniques Experience with ETL/ELT tools (e.g., dbt, Apache Airflow, Talend, Informatica) Experience with cloud platforms (AWS, Azure, or GCP) Familiarity with data warehousing concepts and best practices Understanding of data governance and data quality principles Preferred Qualifications Experience with modern data stack tools (e.g., dbt, Fivetran, Kafka) Knowledge of CI/CD pipelines and DevOps practices Experience working with large-scale or real-time data processing systems Familiarity with BI tools (e.g., Power BI, Tableau, Looker) Snowflake certification is a plus
May 16, 2026
Contractor
Overview We are looking for a skilled Data Engineer with strong experience in Snowflake to join our growing data team. You will be responsible for designing, building, and maintaining scalable data pipelines and architectures that support analytics, reporting, and data-driven decision-making across the organization. 6 months initial contract (OUTSIDE IR35) Remote with occasional travel into London (1 day per month) Key Responsibilities Design, develop, and maintain robust data pipelines and ETL/ELT processes Build and optimize data models within Snowflake for performance and scalability Ingest data from various sources (APIs, databases, streaming platforms, etc.) Ensure data quality, integrity, and governance across systems Collaborate with data analysts, scientists, and business stakeholders to deliver data solutions Monitor and troubleshoot data workflows and pipeline performance Implement best practices for data security, privacy, and compliance Document data architecture, processes, and workflows Required Skills & Experience Proven experience as a Data Engineer or in a similar role Strong hands-on experience with Snowflake data platform Proficiency in SQL and data modeling techniques Experience with ETL/ELT tools (e.g., dbt, Apache Airflow, Talend, Informatica) Experience with cloud platforms (AWS, Azure, or GCP) Familiarity with data warehousing concepts and best practices Understanding of data governance and data quality principles Preferred Qualifications Experience with modern data stack tools (e.g., dbt, Fivetran, Kafka) Knowledge of CI/CD pipelines and DevOps practices Experience working with large-scale or real-time data processing systems Familiarity with BI tools (e.g., Power BI, Tableau, Looker) Snowflake certification is a plus
Cybersecurity Architect Security Clearance - SC Currently Active Location: Hybrid 60% office-40% remote - Wokingham Duration: 21/07/2026 Rate 590 MUST BE PAYE THROUGH UMBRELLA Role Description: "Core Responsibilities: Develop and maintain secure architecture frameworks for enterprise-grade systems, including cloud, on-premises, and hybrid environments Conduct threat modelling, risk assessments, and security gap analyses across infrastructure and application layers Define security standards, reference architectures, and policy controls based on industry frameworks (e.g., NIST, ISO/IEC 27001, CIS) Evaluate and integrate security technologies, including IAM, SIEM, EDR, DLP, WAF, and encryption solutions Collaborate with engineering, DevOps, and IT teams to embed security by design and ensure secure software development lifecycles (SSDLC) Lead strategic initiatives in incident response planning, detection and mitigation strategies, and digital forensics Monitor advancements in threat intelligence and regulatory requirements, advising stakeholders on appropriate countermeasures Produce and maintain architectural documentation, ensuring traceability of security controls and compliance obligations Experience: Demonstrated experience in enterprise security architecture, risk management, and compliance In-depth knowledge of security engineering for cloud platforms (AWS, Azure, GCP), networking, operating systems, and containerized environments Proficiency in identity and access management (IAM), zero-trust principles, and secure infrastructure automation Onsite requirement Understanding of cryptographic protocols, PKI, authentication mechanisms, and secure communications Strong technical writing and communication skills for architectural reviews and audit-facing documentation Relevant certifications such as CISSP, CISM, GIAC, TOGAF, or SABSA preferred"
May 16, 2026
Contractor
Cybersecurity Architect Security Clearance - SC Currently Active Location: Hybrid 60% office-40% remote - Wokingham Duration: 21/07/2026 Rate 590 MUST BE PAYE THROUGH UMBRELLA Role Description: "Core Responsibilities: Develop and maintain secure architecture frameworks for enterprise-grade systems, including cloud, on-premises, and hybrid environments Conduct threat modelling, risk assessments, and security gap analyses across infrastructure and application layers Define security standards, reference architectures, and policy controls based on industry frameworks (e.g., NIST, ISO/IEC 27001, CIS) Evaluate and integrate security technologies, including IAM, SIEM, EDR, DLP, WAF, and encryption solutions Collaborate with engineering, DevOps, and IT teams to embed security by design and ensure secure software development lifecycles (SSDLC) Lead strategic initiatives in incident response planning, detection and mitigation strategies, and digital forensics Monitor advancements in threat intelligence and regulatory requirements, advising stakeholders on appropriate countermeasures Produce and maintain architectural documentation, ensuring traceability of security controls and compliance obligations Experience: Demonstrated experience in enterprise security architecture, risk management, and compliance In-depth knowledge of security engineering for cloud platforms (AWS, Azure, GCP), networking, operating systems, and containerized environments Proficiency in identity and access management (IAM), zero-trust principles, and secure infrastructure automation Onsite requirement Understanding of cryptographic protocols, PKI, authentication mechanisms, and secure communications Strong technical writing and communication skills for architectural reviews and audit-facing documentation Relevant certifications such as CISSP, CISM, GIAC, TOGAF, or SABSA preferred"
Senior Backend Engineer Location: London Work Type: On-site Company Description We are a rapidly growing consumer technology company operating at the intersection of AI, aesthetics, and digital experiences. With a global community of millions, we are building innovative AI-driven products that are transforming how users engage with and understand visual data. Our offerings range from consumer-facing AI analysis tools to partnerships with leading global brands. As we scale quickly, we are expanding our team and pushing the boundaries of how technology and user experience come together. Role Description We are seeking a talented Senior Backend Engineer to join our London-based team full-time. You will play a key role in building and scaling the core infrastructure of our AI platform, owning critical backend systems, and supporting rapid product growth. This is a high-impact, fast-paced role with significant autonomy, where your work will directly influence product direction and user experience. Key Responsibilities Design and implement backend services and APIs using Python, FastAPI, and Django Build and maintain scalable RESTful APIs with PostgreSQL Develop and integrate AI/LLM-powered features using frameworks such as LangChain Implement and manage payment systems, including Stripe integrations and subscription flows Build image processing and computer vision pipelines Write clean, maintainable, and well-documented code deployed via Docker and CI/CD pipelines Collaborate using GitHub, maintaining high code quality and team standards Work with BaaS platforms (e.g., Supabase) for authentication, storage, and real-time functionality Ensure performance, scalability, and security best practices Collaborate cross-functionally with Product, Design, and Frontend teams Contribute to architectural decisions and mentor other engineers Develop data-driven backend services and pipelines Support production systems and deployments within a small, high-performing team Qualifications 5+ years of professional software engineering experience Strong Python expertise with backend development experience Proven experience with FastAPI and/or Django, REST APIs, and PostgreSQL Experience integrating Stripe for payments and subscriptions Familiarity with image processing and computer vision Experience with Docker, GitHub, and modern deployment workflows Knowledge of cloud platforms (AWS, GCP, or Azure) Strong understanding of software design principles (SOLID, patterns, clean code) Experience with BaaS platforms such as Supabase or Firebase Ability to thrive in fast-paced, high-ownership environments Nice to Have Experience with LLM APIs (e.g., OpenAI, Anthropic, Gemini) and LangChain Background in AI/ML (e.g., generative models, GANs, diffusion, regression) Experience building data pipelines and data-driven systems Familiarity with workflow orchestration tools (e.g., Temporal, Prefect) Why Join Be part of a fast-growing company in the AI and consumer tech space High ownership and autonomy over technical decisions Work closely with founders and a mission-driven team Strong market traction and growth potential Opportunity to shape a rapidly evolving industry
May 16, 2026
Full time
Senior Backend Engineer Location: London Work Type: On-site Company Description We are a rapidly growing consumer technology company operating at the intersection of AI, aesthetics, and digital experiences. With a global community of millions, we are building innovative AI-driven products that are transforming how users engage with and understand visual data. Our offerings range from consumer-facing AI analysis tools to partnerships with leading global brands. As we scale quickly, we are expanding our team and pushing the boundaries of how technology and user experience come together. Role Description We are seeking a talented Senior Backend Engineer to join our London-based team full-time. You will play a key role in building and scaling the core infrastructure of our AI platform, owning critical backend systems, and supporting rapid product growth. This is a high-impact, fast-paced role with significant autonomy, where your work will directly influence product direction and user experience. Key Responsibilities Design and implement backend services and APIs using Python, FastAPI, and Django Build and maintain scalable RESTful APIs with PostgreSQL Develop and integrate AI/LLM-powered features using frameworks such as LangChain Implement and manage payment systems, including Stripe integrations and subscription flows Build image processing and computer vision pipelines Write clean, maintainable, and well-documented code deployed via Docker and CI/CD pipelines Collaborate using GitHub, maintaining high code quality and team standards Work with BaaS platforms (e.g., Supabase) for authentication, storage, and real-time functionality Ensure performance, scalability, and security best practices Collaborate cross-functionally with Product, Design, and Frontend teams Contribute to architectural decisions and mentor other engineers Develop data-driven backend services and pipelines Support production systems and deployments within a small, high-performing team Qualifications 5+ years of professional software engineering experience Strong Python expertise with backend development experience Proven experience with FastAPI and/or Django, REST APIs, and PostgreSQL Experience integrating Stripe for payments and subscriptions Familiarity with image processing and computer vision Experience with Docker, GitHub, and modern deployment workflows Knowledge of cloud platforms (AWS, GCP, or Azure) Strong understanding of software design principles (SOLID, patterns, clean code) Experience with BaaS platforms such as Supabase or Firebase Ability to thrive in fast-paced, high-ownership environments Nice to Have Experience with LLM APIs (e.g., OpenAI, Anthropic, Gemini) and LangChain Background in AI/ML (e.g., generative models, GANs, diffusion, regression) Experience building data pipelines and data-driven systems Familiarity with workflow orchestration tools (e.g., Temporal, Prefect) Why Join Be part of a fast-growing company in the AI and consumer tech space High ownership and autonomy over technical decisions Work closely with founders and a mission-driven team Strong market traction and growth potential Opportunity to shape a rapidly evolving industry
Machine Learning Engineer - Contract Location: Nottingham, UK (Hybrid) Salary: £500 £600 p/d (depending on experience) About the Role We are seeking a skilled and motivated Machine Learning Engineer to join our growing team in Nottingham. You will be responsible for designing, building, and deploying scalable machine learning models that drive data-driven decision-making across the business. This role bridges the gap between data science and software engineering, turning prototypes into production-ready systems. Key Responsibilities Design, develop, and deploy machine learning models and pipelines in production environments Collaborate with data scientists, software engineers, and stakeholders to translate business requirements into ML solutions Optimize model performance, scalability, and reliability Build and maintain data pipelines and feature engineering workflows Monitor and retrain models to ensure continued performance over time Implement best practices for version control, testing, and CI/CD in ML systems Stay up to date with the latest advancements in machine learning and AI technologies Required Skills & Experience Strong programming skills in Python (e.g., TensorFlow, PyTorch, Scikit-learn) Experience deploying ML models using cloud platforms (AWS, Azure, or GCP) Solid understanding of machine learning algorithms, data structures, and software engineering principles Experience with data pipelines, APIs, and microservices architecture Familiarity with containerization tools such as Docker and orchestration tools like Kubernetes Strong problem-solving skills and attention to detail Desirable Skills Experience with big data technologies (e.g., Spark, Hadoop) Knowledge of MLOps practices and tools (e.g., MLflow, Kubeflow) Experience working with NLP, computer vision, or recommendation systems Understanding of data governance and security best practices Qualifications Bachelor s or Master s degree in Computer Science, Data Science, Machine Learning, or a related field (or equivalent experience) What We Offer Competitive rate Flexible working arrangements (hybrid/remote options) Collaborative and innovative work environment Access to cutting-edge tools and technologies How to Apply Please submit your CV and a brief cover letter outlining your experience and interest in the role.
May 16, 2026
Contractor
Machine Learning Engineer - Contract Location: Nottingham, UK (Hybrid) Salary: £500 £600 p/d (depending on experience) About the Role We are seeking a skilled and motivated Machine Learning Engineer to join our growing team in Nottingham. You will be responsible for designing, building, and deploying scalable machine learning models that drive data-driven decision-making across the business. This role bridges the gap between data science and software engineering, turning prototypes into production-ready systems. Key Responsibilities Design, develop, and deploy machine learning models and pipelines in production environments Collaborate with data scientists, software engineers, and stakeholders to translate business requirements into ML solutions Optimize model performance, scalability, and reliability Build and maintain data pipelines and feature engineering workflows Monitor and retrain models to ensure continued performance over time Implement best practices for version control, testing, and CI/CD in ML systems Stay up to date with the latest advancements in machine learning and AI technologies Required Skills & Experience Strong programming skills in Python (e.g., TensorFlow, PyTorch, Scikit-learn) Experience deploying ML models using cloud platforms (AWS, Azure, or GCP) Solid understanding of machine learning algorithms, data structures, and software engineering principles Experience with data pipelines, APIs, and microservices architecture Familiarity with containerization tools such as Docker and orchestration tools like Kubernetes Strong problem-solving skills and attention to detail Desirable Skills Experience with big data technologies (e.g., Spark, Hadoop) Knowledge of MLOps practices and tools (e.g., MLflow, Kubeflow) Experience working with NLP, computer vision, or recommendation systems Understanding of data governance and security best practices Qualifications Bachelor s or Master s degree in Computer Science, Data Science, Machine Learning, or a related field (or equivalent experience) What We Offer Competitive rate Flexible working arrangements (hybrid/remote options) Collaborative and innovative work environment Access to cutting-edge tools and technologies How to Apply Please submit your CV and a brief cover letter outlining your experience and interest in the role.
Responsibilities Contribute your technical skills to a team of talented engineers to help innovate while keeping the platform stable, secure, and reliable. Work within a diverse team on exciting engineering initiatives, driving secure and efficient outcomes using the latest technology. Identify continuous improvement opportunities within our core ecosystem to enhance the application and developer experience. Collaborate with Senior and Principal Engineers to implement the strategic direction of our AI capabilities. Collaborate with business stakeholders on independent work assignments. Adopt a "value-first" mentality, working across the engineering team to understand the needs of both application teams and operational stakeholders. Actively participate in the engineering community, sharing knowledge and adopting best practices to ensure high-quality codebases. Cultivate a culture of curiosity and creative problem-solving within the team to drive continuous innovation. Support the "build and run" responsibilities for Enterprise AI products, ensuring robust support and integration into standard incident processes. Engage in hands on coding, building, and maintenance of AI driven applications. Design and build solutions with a focus on quality, including automated testing, security, and architectural alignment. Utilise and improve Continuous Integration and Continuous Delivery (CI/CD) pipelines to ensure efficient software delivery. Support internal and external application teams in resolving barriers related to the deployment and utilisation of engineering products. Come up with the resolution of technical issues, ensuring sound and scalable solutions. Bring innovative ideas and solutions to the team. Minimum Qualifications Proven Experience: Solid experience delivering and maintaining software products within a DevSecOps and AI environment. Practical hands on experience (or strong theoretical knowledge) with RAG, LLMs, and MLOps. Programming: Proficiency in Python, React, and TypeScript. Passion for Innovation: A genuine eagerness to stay current with the latest AI research, trends, and emerging technologies. Cloud & Infrastructure: Experience with Cloud platforms (ideally GCP or Azure) and familiarity with Infrastructure as Code (e.g., Terraform). Communication: Ability to explain technical topics clearly to team members and stakeholders to encourage adoption. Operational Mindset: Experience ensuring internal products are well maintained, supported, and iterated upon based on user feedback. Preferred Qualifications Familiarity with NLP, Embeddings, and Prompt Engineering is highly desirable. Global Collaboration: Experience or willingness to work across different time zones as part of a global organisation. Travel: 0% - Not specified Location: UK - Hook (Hybrid - Three days per week in the office) Elanco is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.
May 16, 2026
Full time
Responsibilities Contribute your technical skills to a team of talented engineers to help innovate while keeping the platform stable, secure, and reliable. Work within a diverse team on exciting engineering initiatives, driving secure and efficient outcomes using the latest technology. Identify continuous improvement opportunities within our core ecosystem to enhance the application and developer experience. Collaborate with Senior and Principal Engineers to implement the strategic direction of our AI capabilities. Collaborate with business stakeholders on independent work assignments. Adopt a "value-first" mentality, working across the engineering team to understand the needs of both application teams and operational stakeholders. Actively participate in the engineering community, sharing knowledge and adopting best practices to ensure high-quality codebases. Cultivate a culture of curiosity and creative problem-solving within the team to drive continuous innovation. Support the "build and run" responsibilities for Enterprise AI products, ensuring robust support and integration into standard incident processes. Engage in hands on coding, building, and maintenance of AI driven applications. Design and build solutions with a focus on quality, including automated testing, security, and architectural alignment. Utilise and improve Continuous Integration and Continuous Delivery (CI/CD) pipelines to ensure efficient software delivery. Support internal and external application teams in resolving barriers related to the deployment and utilisation of engineering products. Come up with the resolution of technical issues, ensuring sound and scalable solutions. Bring innovative ideas and solutions to the team. Minimum Qualifications Proven Experience: Solid experience delivering and maintaining software products within a DevSecOps and AI environment. Practical hands on experience (or strong theoretical knowledge) with RAG, LLMs, and MLOps. Programming: Proficiency in Python, React, and TypeScript. Passion for Innovation: A genuine eagerness to stay current with the latest AI research, trends, and emerging technologies. Cloud & Infrastructure: Experience with Cloud platforms (ideally GCP or Azure) and familiarity with Infrastructure as Code (e.g., Terraform). Communication: Ability to explain technical topics clearly to team members and stakeholders to encourage adoption. Operational Mindset: Experience ensuring internal products are well maintained, supported, and iterated upon based on user feedback. Preferred Qualifications Familiarity with NLP, Embeddings, and Prompt Engineering is highly desirable. Global Collaboration: Experience or willingness to work across different time zones as part of a global organisation. Travel: 0% - Not specified Location: UK - Hook (Hybrid - Three days per week in the office) Elanco is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.
Backend Software Engineer (Java) 7 Months initial contract 4 Days per week on site in Basildon 503 per day (Inside IR35) My client in the automotive industry are seeking an experienced Senior Backend Software Engineer to join their Identity Management Services team, focusing on the core platform work that powers our identity infrastructure. In this role, you will design and build high-scale backend services while serving as a technical lead to upskill the team in modern, industry-leading application development. You will be responsible for ensuring the platform is secure and resilient, leveraging your deep engineering expertise to elevate the team's technical standards and foster a culture of excellence in backend engineering. Skills Required: - Proficiency in Java - Java Framework - Web development - DevOps practices (CI/CD, version control) - Security and identity management - Monitoring and logging - Relational databases - Server-Side technologies - Agile Skills Preferred: - Networking (Subnets, Firewall, Load balancing, VPN configurations) - Problem-Solving and debugging - Familiarity with cloud platforms (GCP) Experience Required: - Strong experience with backend technologies including Java Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.
May 16, 2026
Contractor
Backend Software Engineer (Java) 7 Months initial contract 4 Days per week on site in Basildon 503 per day (Inside IR35) My client in the automotive industry are seeking an experienced Senior Backend Software Engineer to join their Identity Management Services team, focusing on the core platform work that powers our identity infrastructure. In this role, you will design and build high-scale backend services while serving as a technical lead to upskill the team in modern, industry-leading application development. You will be responsible for ensuring the platform is secure and resilient, leveraging your deep engineering expertise to elevate the team's technical standards and foster a culture of excellence in backend engineering. Skills Required: - Proficiency in Java - Java Framework - Web development - DevOps practices (CI/CD, version control) - Security and identity management - Monitoring and logging - Relational databases - Server-Side technologies - Agile Skills Preferred: - Networking (Subnets, Firewall, Load balancing, VPN configurations) - Problem-Solving and debugging - Familiarity with cloud platforms (GCP) Experience Required: - Strong experience with backend technologies including Java Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.
Senior Machine Learning Engineer London, Hybrid (Twice Per Week) Up to £110,000 + 20% Bonus This is an opportunity to take ownership of end to end machine learning delivery in a role that blends technical depth with real world impact. You will work on production grade ML systems that directly improve operational and commercial outcomes, with the backing of a highly skilled, collaborative data team. The Company They are a specialist, data led organisation applying advanced analytics and machine learning to solve complex commercial problems. Their work spans the full lifecycle of data products, from discovery through to deployment, with a strong focus on building robust, scalable solutions. The environment is delivery focused, technically ambitious, and designed for people who want their work to make a measurable difference. The Role You will play a key role in designing, building, and productionising machine learning solutions across a range of use cases. Working closely with data scientists, data engineers, and delivery colleagues, you will help set technical standards and ensure solutions are production ready. Key responsibilities include: Building and deploying machine learning models into live production environments Designing and maintaining MLOps workflows, including model lifecycle management Developing APIs and containerised services to support ML products Implementing DevOps best practices across development and production Collaborating cross functionally to align data, modelling, and business requirements Your Skills and Experience Strong commercial experience developing machine learning solutions in Python Solid understanding of the Python ML ecosystem including libraries such as NumPy, pandas, and scikit learn, with exposure to PyTorch or TensorFlow Experience building and deploying containerised services and APIs Working knowledge of SQL and data driven application development Hands on experience with at least one major cloud platform such as AWS, GCP, or Azure Familiarity with MLOps tooling, workflow orchestration, or feature stores is highly beneficial What They Offer Salary up to £110,000 plus a 20% bonus Hybrid working with two days per week in the London office Exposure to varied, high impact machine learning projects Clear scope for technical ownership and career progression A collaborative culture with strong investment in data and AI capability
May 16, 2026
Full time
Senior Machine Learning Engineer London, Hybrid (Twice Per Week) Up to £110,000 + 20% Bonus This is an opportunity to take ownership of end to end machine learning delivery in a role that blends technical depth with real world impact. You will work on production grade ML systems that directly improve operational and commercial outcomes, with the backing of a highly skilled, collaborative data team. The Company They are a specialist, data led organisation applying advanced analytics and machine learning to solve complex commercial problems. Their work spans the full lifecycle of data products, from discovery through to deployment, with a strong focus on building robust, scalable solutions. The environment is delivery focused, technically ambitious, and designed for people who want their work to make a measurable difference. The Role You will play a key role in designing, building, and productionising machine learning solutions across a range of use cases. Working closely with data scientists, data engineers, and delivery colleagues, you will help set technical standards and ensure solutions are production ready. Key responsibilities include: Building and deploying machine learning models into live production environments Designing and maintaining MLOps workflows, including model lifecycle management Developing APIs and containerised services to support ML products Implementing DevOps best practices across development and production Collaborating cross functionally to align data, modelling, and business requirements Your Skills and Experience Strong commercial experience developing machine learning solutions in Python Solid understanding of the Python ML ecosystem including libraries such as NumPy, pandas, and scikit learn, with exposure to PyTorch or TensorFlow Experience building and deploying containerised services and APIs Working knowledge of SQL and data driven application development Hands on experience with at least one major cloud platform such as AWS, GCP, or Azure Familiarity with MLOps tooling, workflow orchestration, or feature stores is highly beneficial What They Offer Salary up to £110,000 plus a 20% bonus Hybrid working with two days per week in the London office Exposure to varied, high impact machine learning projects Clear scope for technical ownership and career progression A collaborative culture with strong investment in data and AI capability
Senior GCP Platform Engineer Salary: Up to £95,000 + Bonus + Benefits Location: Bristol, Leeds, Halifax, Manchester or Edinburgh - Hybrid (2 days per week onsite) Working Hours: 40 hours per week - Full time Job Type: PermanentA globally established organisation is seeking an experienced Senior GCP Platform Engineer to help build and evolve enterprise-scale Google Cloud infrastructure and DevOps capabilities. This Senior GCP Platform Engineer role will focus on delivering scalable cloud products, modern infrastructure-as-code solutions and secure platform engineering practices across a large-scale cloud transformation environment. Responsibilities for the Senior GCP Platform Engineer: Design, build and support scalable Google Cloud infrastructure and platform solutions Develop reusable Infrastructure as Code (IaC) solutions using Terraform and Terraform Cloud Curate and manage enterprise-grade GCP cloud products and services Build automation workflows and tooling using Python scripting Support and optimise GKE, Kubernetes and Istio Service Mesh environments Audit and improve existing Terraform modules and state management Implement secure, policy-driven infrastructure using Sentinel / OPA Support CI/CD integration and deployment automation across cloud platforms Enforce governance, compliance and security controls across GCP environments Collaborate with engineering teams to improve cloud adoption and operational efficiency Essential Skills for the Senior GCP Platform Engineer: Strong experience across GCP Cloud Engineering and DevOps Strong hands-on experience with Terraform / Terraform Cloud Experience with Python scripting and automation Experience with GKE, Kubernetes and Istio Service Mesh Experience with CI/CD tooling including; Jenkins, Harness & GitHub Experience implementing Policy as Code using Sentinel or OPA Strong understanding of secure cloud governance and GCP organisational policies GCP and Terraform certifications highly beneficial Desirable Skills for the Senior GCP Platform Engineer: Experience acting as a GCP Cloud SME Experience guiding cloud architecture and platform strategy Exposure to cloud engineering platforms such as Backstage Experience within large-scale enterprise cloud transformation programmes If you are an experienced Senior GCP Platform Engineer looking to shape modern cloud infrastructure and enterprise DevOps capabilities, this role offers strong technical ownership and exposure to large-scale cloud engineering initiatives.
May 16, 2026
Full time
Senior GCP Platform Engineer Salary: Up to £95,000 + Bonus + Benefits Location: Bristol, Leeds, Halifax, Manchester or Edinburgh - Hybrid (2 days per week onsite) Working Hours: 40 hours per week - Full time Job Type: PermanentA globally established organisation is seeking an experienced Senior GCP Platform Engineer to help build and evolve enterprise-scale Google Cloud infrastructure and DevOps capabilities. This Senior GCP Platform Engineer role will focus on delivering scalable cloud products, modern infrastructure-as-code solutions and secure platform engineering practices across a large-scale cloud transformation environment. Responsibilities for the Senior GCP Platform Engineer: Design, build and support scalable Google Cloud infrastructure and platform solutions Develop reusable Infrastructure as Code (IaC) solutions using Terraform and Terraform Cloud Curate and manage enterprise-grade GCP cloud products and services Build automation workflows and tooling using Python scripting Support and optimise GKE, Kubernetes and Istio Service Mesh environments Audit and improve existing Terraform modules and state management Implement secure, policy-driven infrastructure using Sentinel / OPA Support CI/CD integration and deployment automation across cloud platforms Enforce governance, compliance and security controls across GCP environments Collaborate with engineering teams to improve cloud adoption and operational efficiency Essential Skills for the Senior GCP Platform Engineer: Strong experience across GCP Cloud Engineering and DevOps Strong hands-on experience with Terraform / Terraform Cloud Experience with Python scripting and automation Experience with GKE, Kubernetes and Istio Service Mesh Experience with CI/CD tooling including; Jenkins, Harness & GitHub Experience implementing Policy as Code using Sentinel or OPA Strong understanding of secure cloud governance and GCP organisational policies GCP and Terraform certifications highly beneficial Desirable Skills for the Senior GCP Platform Engineer: Experience acting as a GCP Cloud SME Experience guiding cloud architecture and platform strategy Exposure to cloud engineering platforms such as Backstage Experience within large-scale enterprise cloud transformation programmes If you are an experienced Senior GCP Platform Engineer looking to shape modern cloud infrastructure and enterprise DevOps capabilities, this role offers strong technical ownership and exposure to large-scale cloud engineering initiatives.
Job Title: Security Engineer Salary: £110K - £200K + Offers Equity Company Description: Incident.io - Series B AI incident response platform backed by Index Ventures and Insight Partners. Job Description Join Incident.io as our first Security Engineer to lead application security for a 60+ person product team. You will partner with engineers to design secure systems from the ground up, identifying vulnerabilities through white-box and black-box testing. This foundational role shapes the security culture at a rapidly scaling, high-trust engineering organization. Location: London, UK Why this role is remarkable Foundational hire opportunity to build the security function from scratch without inheriting tech debt or rigid legacy processes. Join a high-growth Series B startup that has raised $100M from world-class investors like Index Ventures and Insight Partners. Work within a high-trust, ex-Monzo leadership culture that prioritizes shipping quality product daily and values engineering excellence. What you will do Partner directly with product teams to design and review features with security deeply integrated from the initial architecture phase. Identify and mitigate vulnerabilities using a mix of code reviews, architecture analysis, penetration testing, and automated fuzzing techniques. Implement pragmatic security tooling and automation across the CI/CD pipeline and GCP infrastructure to strengthen defenses without slowing delivery. The ideal candidate Senior or Staff-level professional with a deep track record in application security, vulnerability research, or specialized red teaming. Hands on experience with modern web stacks, specifically Go, TypeScript, React, and cloud security within Google Cloud Platform (GCP). Collaborative mindset that thrives when embedded in product teams, acting as a coach rather than a gatekeeper for secure coding practices.
May 16, 2026
Full time
Job Title: Security Engineer Salary: £110K - £200K + Offers Equity Company Description: Incident.io - Series B AI incident response platform backed by Index Ventures and Insight Partners. Job Description Join Incident.io as our first Security Engineer to lead application security for a 60+ person product team. You will partner with engineers to design secure systems from the ground up, identifying vulnerabilities through white-box and black-box testing. This foundational role shapes the security culture at a rapidly scaling, high-trust engineering organization. Location: London, UK Why this role is remarkable Foundational hire opportunity to build the security function from scratch without inheriting tech debt or rigid legacy processes. Join a high-growth Series B startup that has raised $100M from world-class investors like Index Ventures and Insight Partners. Work within a high-trust, ex-Monzo leadership culture that prioritizes shipping quality product daily and values engineering excellence. What you will do Partner directly with product teams to design and review features with security deeply integrated from the initial architecture phase. Identify and mitigate vulnerabilities using a mix of code reviews, architecture analysis, penetration testing, and automated fuzzing techniques. Implement pragmatic security tooling and automation across the CI/CD pipeline and GCP infrastructure to strengthen defenses without slowing delivery. The ideal candidate Senior or Staff-level professional with a deep track record in application security, vulnerability research, or specialized red teaming. Hands on experience with modern web stacks, specifically Go, TypeScript, React, and cloud security within Google Cloud Platform (GCP). Collaborative mindset that thrives when embedded in product teams, acting as a coach rather than a gatekeeper for secure coding practices.
We are seeking a Data & AI Technical Lead to drive the Discovery & Design phase of a large-scale M&A program for a Retail & CPG client. This role will lead the technical direction across a complex, multi-cloud data landscape spanning Azure, AWS, GCP, Databricks, and Snowflake. You will oversee and guide senior Data Architects, ensuring architectural alignment, technical quality, and business relevance. The role sits at the intersection of business strategy, data architecture, and platform engineering, acting as a key liaison between client stakeholders, IT teams, and the Chief Data Office. Required Skills & Experience Core Technical Expertise 15+ years in Data & Analytics, with 5+ years in leadership roles Strong hands-on experience across: Azure cloud, ADF, DevOps, Power BI, Fabric workspaces AWS cloud, S3, cross-cloud connectivity, API Gateways GCP (BigQuery, GCS, Dataflow) Deep expertise in: Databricks (Lakehouse architecture, Delta Lake, Unity Catalog, Delta Sharing, Pyspark, Spark SQL etc.) Snowflake (data warehousing & data sharing, Iceberg, ) Strong understanding of: Data architecture patterns, industry benchmarking, Data integration patterns (ETL/ELT, streaming, CDC, APIs) Data governance & metadata management Architecture & M&A Experience Proven experience in M&A data integration, platform consolidation, or carve-outs Experience designing multi-cloud or hybrid data architectures Familiarity with enterprise architecture frameworks (TOGAF or equivalent) Leadership & Stakeholder Skills Experience managing or leading senior architects or technical teams Strong communication skills with the ability to influence C-level stakeholders Ability to bridge business strategy and technical execution Experience working in consulting or client-facing roles
May 16, 2026
Contractor
We are seeking a Data & AI Technical Lead to drive the Discovery & Design phase of a large-scale M&A program for a Retail & CPG client. This role will lead the technical direction across a complex, multi-cloud data landscape spanning Azure, AWS, GCP, Databricks, and Snowflake. You will oversee and guide senior Data Architects, ensuring architectural alignment, technical quality, and business relevance. The role sits at the intersection of business strategy, data architecture, and platform engineering, acting as a key liaison between client stakeholders, IT teams, and the Chief Data Office. Required Skills & Experience Core Technical Expertise 15+ years in Data & Analytics, with 5+ years in leadership roles Strong hands-on experience across: Azure cloud, ADF, DevOps, Power BI, Fabric workspaces AWS cloud, S3, cross-cloud connectivity, API Gateways GCP (BigQuery, GCS, Dataflow) Deep expertise in: Databricks (Lakehouse architecture, Delta Lake, Unity Catalog, Delta Sharing, Pyspark, Spark SQL etc.) Snowflake (data warehousing & data sharing, Iceberg, ) Strong understanding of: Data architecture patterns, industry benchmarking, Data integration patterns (ETL/ELT, streaming, CDC, APIs) Data governance & metadata management Architecture & M&A Experience Proven experience in M&A data integration, platform consolidation, or carve-outs Experience designing multi-cloud or hybrid data architectures Familiarity with enterprise architecture frameworks (TOGAF or equivalent) Leadership & Stakeholder Skills Experience managing or leading senior architects or technical teams Strong communication skills with the ability to influence C-level stakeholders Ability to bridge business strategy and technical execution Experience working in consulting or client-facing roles
Senior AI Engineer - GCP / Machine Learning / AI Agents £75k - £80k + Bonus - Permanent Remote UK - Flexible remote working model - Occasional travel to the South East / South London region Must be Eligible to work in the UK - Cannot Provide Sponsorship We re currently supporting a large consumer-focused organisation undergoing significant investment across AI, Machine Learning & Cloud Engineering capability. As part of this growth, we re looking to identify experienced Senior AI Engineers to help shape and deliver scalable AI-enabled solutions across the organisation. This role would suit someone with a strong Software Engineering background who has evolved into AI / Machine Learning Engineering and is comfortable operating across both hands-on technical delivery and stakeholder engagement. Key Responsibilities: Design and develop AI-enabled Applications & Services Build scalable AI & Machine Learning solutions within a GCP environment Support the technical direction of AI Engineering initiatives Mentor and support other AI Engineers within the wider team Collaborate closely with Digital Products, AI & business stakeholders Support the development of AI Agents and intelligent automation capabilities Drive Engineering best practice across cloud-native AI delivery Contribute toward architecture, experimentation and proof-of-concept initiatives Required Experience: Strong Software Engineering background (Python preferred) Commercial AI / Machine Learning Engineering experience Hands-on Google Cloud Platform (GCP) experience Experience deploying ML / AI solutions into production environments Understanding of modern AI frameworks & LLM ecosystems Exposure to AI Agents, Agentic AI workflows and/or Google ADK highly desirable Strong stakeholder engagement and communication capability Previous mentoring or technical leadership experience advantageous Desirable Technologies GCP / Vertex AI Gemini Python AI Agents / ADK Machine Learning Frameworks APIs & Microservices Docker / Kubernetes CI/CD pipelines LLM Orchestration Frameworks Additional Information Bonus potential up to c.15% Opportunity to join a growing AI capability within a large-scale Enterprise environment Excellent long-term progression potential as the AI function expands . T6/MN/(phone number removed).
May 16, 2026
Full time
Senior AI Engineer - GCP / Machine Learning / AI Agents £75k - £80k + Bonus - Permanent Remote UK - Flexible remote working model - Occasional travel to the South East / South London region Must be Eligible to work in the UK - Cannot Provide Sponsorship We re currently supporting a large consumer-focused organisation undergoing significant investment across AI, Machine Learning & Cloud Engineering capability. As part of this growth, we re looking to identify experienced Senior AI Engineers to help shape and deliver scalable AI-enabled solutions across the organisation. This role would suit someone with a strong Software Engineering background who has evolved into AI / Machine Learning Engineering and is comfortable operating across both hands-on technical delivery and stakeholder engagement. Key Responsibilities: Design and develop AI-enabled Applications & Services Build scalable AI & Machine Learning solutions within a GCP environment Support the technical direction of AI Engineering initiatives Mentor and support other AI Engineers within the wider team Collaborate closely with Digital Products, AI & business stakeholders Support the development of AI Agents and intelligent automation capabilities Drive Engineering best practice across cloud-native AI delivery Contribute toward architecture, experimentation and proof-of-concept initiatives Required Experience: Strong Software Engineering background (Python preferred) Commercial AI / Machine Learning Engineering experience Hands-on Google Cloud Platform (GCP) experience Experience deploying ML / AI solutions into production environments Understanding of modern AI frameworks & LLM ecosystems Exposure to AI Agents, Agentic AI workflows and/or Google ADK highly desirable Strong stakeholder engagement and communication capability Previous mentoring or technical leadership experience advantageous Desirable Technologies GCP / Vertex AI Gemini Python AI Agents / ADK Machine Learning Frameworks APIs & Microservices Docker / Kubernetes CI/CD pipelines LLM Orchestration Frameworks Additional Information Bonus potential up to c.15% Opportunity to join a growing AI capability within a large-scale Enterprise environment Excellent long-term progression potential as the AI function expands . T6/MN/(phone number removed).
My client are looking for a Contract Senior Software Developer to design, build, and maintain microservices-based applications and data engineering pipelines. This role requires strong hands-on development experience across Java services, backend systems, and data processing platforms, with a focus on building scalable, reliable, and maintainable solutions. The role involves close collaboration with data engineers, QA, product, and platform teams to deliver high-quality services and data products across a complex enterprise environment. Technical Skills & Experience Core Skills Strong hands-on experience developing Java-based applications in a microservices architecture. Solid experience building and maintaining backend services and APIs. Experience contributing to data engineering pipelines, including ETL/ELT workflows, batch processing, and scheduled data builds. Strong understanding of data modelling, transformations, and downstream data consumption. Experience with performance tuning for backend services or data pipelines. Proficient SQL skills for data analysis, validation, and troubleshooting. Experience working with data warehouses, data lakes, or big data platforms (e.g., Snowflake, Redshift, BigQuery, Spark). Engineering Practices & Tooling Experience with CI/CD pipelines and automated build and deployment processes. Strong experience with version control systems (Git). Experience developing in cloud environments (Azure, AWS, or GCP). Understanding of distributed systems, service communication patterns, and fault tolerance. Familiarity with containerization and orchestration (e.g., Docker, Kubernetes) is desirable. Interested? Apply here or email your CV to (url removed)
May 16, 2026
Contractor
My client are looking for a Contract Senior Software Developer to design, build, and maintain microservices-based applications and data engineering pipelines. This role requires strong hands-on development experience across Java services, backend systems, and data processing platforms, with a focus on building scalable, reliable, and maintainable solutions. The role involves close collaboration with data engineers, QA, product, and platform teams to deliver high-quality services and data products across a complex enterprise environment. Technical Skills & Experience Core Skills Strong hands-on experience developing Java-based applications in a microservices architecture. Solid experience building and maintaining backend services and APIs. Experience contributing to data engineering pipelines, including ETL/ELT workflows, batch processing, and scheduled data builds. Strong understanding of data modelling, transformations, and downstream data consumption. Experience with performance tuning for backend services or data pipelines. Proficient SQL skills for data analysis, validation, and troubleshooting. Experience working with data warehouses, data lakes, or big data platforms (e.g., Snowflake, Redshift, BigQuery, Spark). Engineering Practices & Tooling Experience with CI/CD pipelines and automated build and deployment processes. Strong experience with version control systems (Git). Experience developing in cloud environments (Azure, AWS, or GCP). Understanding of distributed systems, service communication patterns, and fault tolerance. Familiarity with containerization and orchestration (e.g., Docker, Kubernetes) is desirable. Interested? Apply here or email your CV to (url removed)
Head of AI & Automation Hybrid: 1-2 days per week in the office (North West) Permanent Paying up to 100k + bonus + bens Experis are partnering with a large, well-established organisation as they continue to accelerate their digital and operational transformation agenda. We are supporting them in the search for an experienced AI and Automation Lead to own and deliver a multi-year strategy focused on leveraging artificial intelligence and automation across their operations. This is a high-impact leadership role, responsible for shaping AI adoption across support centre and knowledge worker environments, with a focus on improving productivity, reducing cost, and enhancing customer experience. What You'll Be Doing Defining and owning the organisation's AI and automation strategy, aligned to wider digital transformation goals Identifying, prioritising, and delivering high-value AI use cases across operations and support functions Leading the end-to-end delivery of AI solutions from proof of concept through to production Building, scaling, and developing a small in-house AI engineering capability Driving adoption of AI solutions (e.g. chatbots, intelligent document processing, workflow automation, predictive analytics) into day-to-day business processes Acting as a trusted advisor to senior stakeholders, translating AI opportunities into tangible business outcomes Managing third-party vendors and delivery partners, ensuring quality, value, and alignment to outcomes Establishing AI governance frameworks, covering data ethics, model performance, and responsible AI usage Defining and tracking ROI and success metrics across AI initiatives Leading training and change initiatives to embed AI across the workforce Experience Required Proven experience leading AI, machine learning, or intelligent automation initiatives in a mid-to-large organisation Strong hands-on knowledge of generative AI (LLMs, RAG architectures) and/or agentic AI frameworks Experience building or scaling AI / data science teams Track record of delivering AI solutions into production environments, not just proof of concept Experience working with cloud platforms (Azure, AWS or GCP) Exposure to vendor-led delivery models and partner ecosystems Strong understanding of data governance, AI ethics, and responsible AI principles Experience in customer operations / contact centre environments would be highly advantageous Excellent stakeholder management skills, with the ability to influence at senior level and communicate complex ideas clearly If you'd like to learn more, please contact Jacob Ferdinand at
May 16, 2026
Full time
Head of AI & Automation Hybrid: 1-2 days per week in the office (North West) Permanent Paying up to 100k + bonus + bens Experis are partnering with a large, well-established organisation as they continue to accelerate their digital and operational transformation agenda. We are supporting them in the search for an experienced AI and Automation Lead to own and deliver a multi-year strategy focused on leveraging artificial intelligence and automation across their operations. This is a high-impact leadership role, responsible for shaping AI adoption across support centre and knowledge worker environments, with a focus on improving productivity, reducing cost, and enhancing customer experience. What You'll Be Doing Defining and owning the organisation's AI and automation strategy, aligned to wider digital transformation goals Identifying, prioritising, and delivering high-value AI use cases across operations and support functions Leading the end-to-end delivery of AI solutions from proof of concept through to production Building, scaling, and developing a small in-house AI engineering capability Driving adoption of AI solutions (e.g. chatbots, intelligent document processing, workflow automation, predictive analytics) into day-to-day business processes Acting as a trusted advisor to senior stakeholders, translating AI opportunities into tangible business outcomes Managing third-party vendors and delivery partners, ensuring quality, value, and alignment to outcomes Establishing AI governance frameworks, covering data ethics, model performance, and responsible AI usage Defining and tracking ROI and success metrics across AI initiatives Leading training and change initiatives to embed AI across the workforce Experience Required Proven experience leading AI, machine learning, or intelligent automation initiatives in a mid-to-large organisation Strong hands-on knowledge of generative AI (LLMs, RAG architectures) and/or agentic AI frameworks Experience building or scaling AI / data science teams Track record of delivering AI solutions into production environments, not just proof of concept Experience working with cloud platforms (Azure, AWS or GCP) Exposure to vendor-led delivery models and partner ecosystems Strong understanding of data governance, AI ethics, and responsible AI principles Experience in customer operations / contact centre environments would be highly advantageous Excellent stakeholder management skills, with the ability to influence at senior level and communicate complex ideas clearly If you'd like to learn more, please contact Jacob Ferdinand at
Requisition ID: FEQ427R217 Sr. Solutions Architect (Lakewatch - EMEA) The Solutions Architect (Lakewatch) team executes on Databricks' strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go to market team mandate, though individually will cover a specific, local region. Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product. They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives. The Solutions Architect (Lakewatch) is paired with an Account Executive aligned to the product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that customers make an informed decision as they decide to adopt the product line in a meaningful way. The Lakewatch product line requires the following core technical competencies: 5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer facing security solutions (of which 3+ years are in a customer facing, pre sales or consulting role). Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation. Deep familiarity with SIEM platforms (Splunk, Microsoft Sentinel, QRadar, or similar), including deployment, tuning, detection engineering, and migration strategies. Familiarity with SOAR platforms is also desirable. Strong understanding of the security telemetry landscape: endpoint (EDR/XDR), network (firewall, DNS, proxy), identity (Okta, Entra ID), cloud (AWS CloudTrail, Azure Activity Log, GCP Audit), and SaaS application logs. Familiarity with standards such as OCSF. Experience with "detection as code" workflows, including rule authoring in SQL or YAML, CI/CD integration for detection pipelines, and MITRE ATT&CK framework mapping. Credibility in influencing security analytics products with the market insight needed to shape and prioritize roadmap capabilities. The impact you will have Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment. Collaborate with GTM leadership and account teams to design and execute high impact engagement strategies across your territory, driving Lakewatch adoption from initial data offload through full SIEM augmentation or replacement. As a trusted advisor, serve as an expert Solutions Architect building technical credibility with CISOs, security architects, SOC leadership, and security analysts to drive product adoption and vision. Enable clients at scale through workshops, POC execution, and developing customer facing collateral that increases technical knowledge and demonstrates the value of an open agentic SIEM architecture. Influence product roadmap by translating field derived, data driven insights into strategic recommendations for Product and Engineering teams. Handle the most complex technical challenges in this product line by acting as the tier 3 escalation point for the field, ensuring customer success in mission critical security environments. Establish and refine the sales qualification and POC intake process, ensuring well scoped engagements that maximize customer success and minimize friction for R&D. Competencies & Responsibilities 5+ years in a customer facing, pre sales or consulting role influencing technical executives, driving high level security strategy and product adoption. Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation. Proficient in programming, debugging, and problem solving using SQL and Python and with AI tools. Experience collaborating with Global System Integrators (GSIs) and third party consulting organizations to drive customer outcomes in cybersecurity. Hands on experience building solutions within major public cloud environments (AWS, Azure, or GCP), with an understanding of cloud native security logging and monitoring. Deep experience in security operations, with broad familiarity across one or more of the following: data engineering, data warehousing, AI/ML for security, data governance, and streaming. Undergraduate degree (or higher) in a technical field such as Computer Science, Cybersecurity, Applied Mathematics, Engineering or similar. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
May 16, 2026
Full time
Requisition ID: FEQ427R217 Sr. Solutions Architect (Lakewatch - EMEA) The Solutions Architect (Lakewatch) team executes on Databricks' strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go to market team mandate, though individually will cover a specific, local region. Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product. They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives. The Solutions Architect (Lakewatch) is paired with an Account Executive aligned to the product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that customers make an informed decision as they decide to adopt the product line in a meaningful way. The Lakewatch product line requires the following core technical competencies: 5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer facing security solutions (of which 3+ years are in a customer facing, pre sales or consulting role). Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation. Deep familiarity with SIEM platforms (Splunk, Microsoft Sentinel, QRadar, or similar), including deployment, tuning, detection engineering, and migration strategies. Familiarity with SOAR platforms is also desirable. Strong understanding of the security telemetry landscape: endpoint (EDR/XDR), network (firewall, DNS, proxy), identity (Okta, Entra ID), cloud (AWS CloudTrail, Azure Activity Log, GCP Audit), and SaaS application logs. Familiarity with standards such as OCSF. Experience with "detection as code" workflows, including rule authoring in SQL or YAML, CI/CD integration for detection pipelines, and MITRE ATT&CK framework mapping. Credibility in influencing security analytics products with the market insight needed to shape and prioritize roadmap capabilities. The impact you will have Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment. Collaborate with GTM leadership and account teams to design and execute high impact engagement strategies across your territory, driving Lakewatch adoption from initial data offload through full SIEM augmentation or replacement. As a trusted advisor, serve as an expert Solutions Architect building technical credibility with CISOs, security architects, SOC leadership, and security analysts to drive product adoption and vision. Enable clients at scale through workshops, POC execution, and developing customer facing collateral that increases technical knowledge and demonstrates the value of an open agentic SIEM architecture. Influence product roadmap by translating field derived, data driven insights into strategic recommendations for Product and Engineering teams. Handle the most complex technical challenges in this product line by acting as the tier 3 escalation point for the field, ensuring customer success in mission critical security environments. Establish and refine the sales qualification and POC intake process, ensuring well scoped engagements that maximize customer success and minimize friction for R&D. Competencies & Responsibilities 5+ years in a customer facing, pre sales or consulting role influencing technical executives, driving high level security strategy and product adoption. Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation. Proficient in programming, debugging, and problem solving using SQL and Python and with AI tools. Experience collaborating with Global System Integrators (GSIs) and third party consulting organizations to drive customer outcomes in cybersecurity. Hands on experience building solutions within major public cloud environments (AWS, Azure, or GCP), with an understanding of cloud native security logging and monitoring. Deep experience in security operations, with broad familiarity across one or more of the following: data engineering, data warehousing, AI/ML for security, data governance, and streaming. Undergraduate degree (or higher) in a technical field such as Computer Science, Cybersecurity, Applied Mathematics, Engineering or similar. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Senior GCP Platform Engineer Salary: Up to £95,000 + Bonus + Benefits Location: Bristol, Leeds, Halifax, Manchester or Edinburgh - Hybrid (2 days per week onsite) Working Hours: 40 hours per week - Full time Job Type: PermanentA globally established organisation is seeking an experienced Senior GCP Platform Engineer to help build and evolve enterprise-scale Google Cloud infrastructure and DevOps capabilities. This Senior GCP Platform Engineer role will focus on delivering scalable cloud products, modern infrastructure-as-code solutions and secure platform engineering practices across a large-scale cloud transformation environment. Responsibilities for the Senior GCP Platform Engineer: Design, build and support scalable Google Cloud infrastructure and platform solutions Develop reusable Infrastructure as Code (IaC) solutions using Terraform and Terraform Cloud Curate and manage enterprise-grade GCP cloud products and services Build automation workflows and tooling using Python scripting Support and optimise GKE, Kubernetes and Istio Service Mesh environments Audit and improve existing Terraform modules and state management Implement secure, policy-driven infrastructure using Sentinel / OPA Support CI/CD integration and deployment automation across cloud platforms Enforce governance, compliance and security controls across GCP environments Collaborate with engineering teams to improve cloud adoption and operational efficiency Essential Skills for the Senior GCP Platform Engineer: Strong experience across GCP Cloud Engineering and DevOps Strong hands-on experience with Terraform / Terraform Cloud Experience with Python scripting and automation Experience with GKE, Kubernetes and Istio Service Mesh Experience with CI/CD tooling including; Jenkins, Harness & GitHub Experience implementing Policy as Code using Sentinel or OPA Strong understanding of secure cloud governance and GCP organisational policies GCP and Terraform certifications highly beneficial Desirable Skills for the Senior GCP Platform Engineer: Experience acting as a GCP Cloud SME Experience guiding cloud architecture and platform strategy Exposure to cloud engineering platforms such as Backstage Experience within large-scale enterprise cloud transformation programmes If you are an experienced Senior GCP Platform Engineer looking to shape modern cloud infrastructure and enterprise DevOps capabilities, this role offers strong technical ownership and exposure to large-scale cloud engineering initiatives.
May 16, 2026
Full time
Senior GCP Platform Engineer Salary: Up to £95,000 + Bonus + Benefits Location: Bristol, Leeds, Halifax, Manchester or Edinburgh - Hybrid (2 days per week onsite) Working Hours: 40 hours per week - Full time Job Type: PermanentA globally established organisation is seeking an experienced Senior GCP Platform Engineer to help build and evolve enterprise-scale Google Cloud infrastructure and DevOps capabilities. This Senior GCP Platform Engineer role will focus on delivering scalable cloud products, modern infrastructure-as-code solutions and secure platform engineering practices across a large-scale cloud transformation environment. Responsibilities for the Senior GCP Platform Engineer: Design, build and support scalable Google Cloud infrastructure and platform solutions Develop reusable Infrastructure as Code (IaC) solutions using Terraform and Terraform Cloud Curate and manage enterprise-grade GCP cloud products and services Build automation workflows and tooling using Python scripting Support and optimise GKE, Kubernetes and Istio Service Mesh environments Audit and improve existing Terraform modules and state management Implement secure, policy-driven infrastructure using Sentinel / OPA Support CI/CD integration and deployment automation across cloud platforms Enforce governance, compliance and security controls across GCP environments Collaborate with engineering teams to improve cloud adoption and operational efficiency Essential Skills for the Senior GCP Platform Engineer: Strong experience across GCP Cloud Engineering and DevOps Strong hands-on experience with Terraform / Terraform Cloud Experience with Python scripting and automation Experience with GKE, Kubernetes and Istio Service Mesh Experience with CI/CD tooling including; Jenkins, Harness & GitHub Experience implementing Policy as Code using Sentinel or OPA Strong understanding of secure cloud governance and GCP organisational policies GCP and Terraform certifications highly beneficial Desirable Skills for the Senior GCP Platform Engineer: Experience acting as a GCP Cloud SME Experience guiding cloud architecture and platform strategy Exposure to cloud engineering platforms such as Backstage Experience within large-scale enterprise cloud transformation programmes If you are an experienced Senior GCP Platform Engineer looking to shape modern cloud infrastructure and enterprise DevOps capabilities, this role offers strong technical ownership and exposure to large-scale cloud engineering initiatives.
Senior GCP Platform Engineer Salary: Up to £95,000 + Bonus + Benefits Location: Bristol, Leeds, Halifax, Manchester or Edinburgh - Hybrid (2 days per week onsite) Working Hours: 40 hours per week - Full time Job Type: PermanentA globally established organisation is seeking an experienced Senior GCP Platform Engineer to help build and evolve enterprise-scale Google Cloud infrastructure and DevOps capabilities. This Senior GCP Platform Engineer role will focus on delivering scalable cloud products, modern infrastructure-as-code solutions and secure platform engineering practices across a large-scale cloud transformation environment. Responsibilities for the Senior GCP Platform Engineer: Design, build and support scalable Google Cloud infrastructure and platform solutions Develop reusable Infrastructure as Code (IaC) solutions using Terraform and Terraform Cloud Curate and manage enterprise-grade GCP cloud products and services Build automation workflows and tooling using Python scripting Support and optimise GKE, Kubernetes and Istio Service Mesh environments Audit and improve existing Terraform modules and state management Implement secure, policy-driven infrastructure using Sentinel / OPA Support CI/CD integration and deployment automation across cloud platforms Enforce governance, compliance and security controls across GCP environments Collaborate with engineering teams to improve cloud adoption and operational efficiency Essential Skills for the Senior GCP Platform Engineer: Strong experience across GCP Cloud Engineering and DevOps Strong hands-on experience with Terraform / Terraform Cloud Experience with Python scripting and automation Experience with GKE, Kubernetes and Istio Service Mesh Experience with CI/CD tooling including; Jenkins, Harness & GitHub Experience implementing Policy as Code using Sentinel or OPA Strong understanding of secure cloud governance and GCP organisational policies GCP and Terraform certifications highly beneficial Desirable Skills for the Senior GCP Platform Engineer: Experience acting as a GCP Cloud SME Experience guiding cloud architecture and platform strategy Exposure to cloud engineering platforms such as Backstage Experience within large-scale enterprise cloud transformation programmes If you are an experienced Senior GCP Platform Engineer looking to shape modern cloud infrastructure and enterprise DevOps capabilities, this role offers strong technical ownership and exposure to large-scale cloud engineering initiatives.
May 16, 2026
Full time
Senior GCP Platform Engineer Salary: Up to £95,000 + Bonus + Benefits Location: Bristol, Leeds, Halifax, Manchester or Edinburgh - Hybrid (2 days per week onsite) Working Hours: 40 hours per week - Full time Job Type: PermanentA globally established organisation is seeking an experienced Senior GCP Platform Engineer to help build and evolve enterprise-scale Google Cloud infrastructure and DevOps capabilities. This Senior GCP Platform Engineer role will focus on delivering scalable cloud products, modern infrastructure-as-code solutions and secure platform engineering practices across a large-scale cloud transformation environment. Responsibilities for the Senior GCP Platform Engineer: Design, build and support scalable Google Cloud infrastructure and platform solutions Develop reusable Infrastructure as Code (IaC) solutions using Terraform and Terraform Cloud Curate and manage enterprise-grade GCP cloud products and services Build automation workflows and tooling using Python scripting Support and optimise GKE, Kubernetes and Istio Service Mesh environments Audit and improve existing Terraform modules and state management Implement secure, policy-driven infrastructure using Sentinel / OPA Support CI/CD integration and deployment automation across cloud platforms Enforce governance, compliance and security controls across GCP environments Collaborate with engineering teams to improve cloud adoption and operational efficiency Essential Skills for the Senior GCP Platform Engineer: Strong experience across GCP Cloud Engineering and DevOps Strong hands-on experience with Terraform / Terraform Cloud Experience with Python scripting and automation Experience with GKE, Kubernetes and Istio Service Mesh Experience with CI/CD tooling including; Jenkins, Harness & GitHub Experience implementing Policy as Code using Sentinel or OPA Strong understanding of secure cloud governance and GCP organisational policies GCP and Terraform certifications highly beneficial Desirable Skills for the Senior GCP Platform Engineer: Experience acting as a GCP Cloud SME Experience guiding cloud architecture and platform strategy Exposure to cloud engineering platforms such as Backstage Experience within large-scale enterprise cloud transformation programmes If you are an experienced Senior GCP Platform Engineer looking to shape modern cloud infrastructure and enterprise DevOps capabilities, this role offers strong technical ownership and exposure to large-scale cloud engineering initiatives.
Third Party Risk Manager - Cyber (Supplier Assurance Technical Focus) Location Fully Remote (UK-based) Duration - 3 Months but likely to run until October 2026 About the Role At Tesco Insurance and Money Services, we're looking for a technology focused Third Party Risk Manager to help us secure our third-party and supplier ecosystem. This is a hands-on cyber security assurance role, not focused on data protection or operational resilience. You'll assess and challenge the technical security controls of around 80 suppliers, including cloud providers, SaaS platforms, and managed service partners. You'll play a key role in ensuring suppliers meet our cyber security standards, ISO 27001 requirements, and broader technical security expectations. What You'll Be Doing Own and manage cyber security assurance across 80 third-party suppliers Carry out technical security assessments of cloud, SaaS, and infrastructure providers Review supplier controls including: Cloud security Identity & access management Network security Application security Assess supplier evidence such as penetration tests, SOC reports, and ISO 27001 audits Lead ISO 27001-aligned supplier audits with a focus on technical control effectiveness Identify, track, and drive closure of supplier security risks Work closely with Cyber Security Engineering and Technology teams Provide clear, risk-based reporting on supplier security posture What We're Looking For Essential Experience Strong background in cyber security, infrastructure security, cloud security, or security engineering Proven experience in Third Party Risk Management (TPRM) or supplier assurance Experience performing technical security assessments of suppliers or systems Strong understanding of: Cloud security (AWS / Azure / GCP) IAM, network, and application security Hands-on experience with ISO 27001 audits and technical control assessment Ability to review and challenge security evidence (e.g. pen tests, SOC reports) Experience working in complex environments with multiple suppliers (50-100+) Desirable ISO 27001 Lead Auditor certification CISSP, CISM, CRISC or similar Background in security engineering, cloud security, or infrastructure security Financial services or regulated environment experience What You'll Bring A strong technical mindset and attention to detail Confidence challenging suppliers on security design and controls Ability to translate technical risk into clear outcomes Strong communication with both engineers and senior stakeholders Ownership of your supplier portfolio in a remote environment Candidates will ideally show evidence of the above in their CV to be considered. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.
May 16, 2026
Contractor
Third Party Risk Manager - Cyber (Supplier Assurance Technical Focus) Location Fully Remote (UK-based) Duration - 3 Months but likely to run until October 2026 About the Role At Tesco Insurance and Money Services, we're looking for a technology focused Third Party Risk Manager to help us secure our third-party and supplier ecosystem. This is a hands-on cyber security assurance role, not focused on data protection or operational resilience. You'll assess and challenge the technical security controls of around 80 suppliers, including cloud providers, SaaS platforms, and managed service partners. You'll play a key role in ensuring suppliers meet our cyber security standards, ISO 27001 requirements, and broader technical security expectations. What You'll Be Doing Own and manage cyber security assurance across 80 third-party suppliers Carry out technical security assessments of cloud, SaaS, and infrastructure providers Review supplier controls including: Cloud security Identity & access management Network security Application security Assess supplier evidence such as penetration tests, SOC reports, and ISO 27001 audits Lead ISO 27001-aligned supplier audits with a focus on technical control effectiveness Identify, track, and drive closure of supplier security risks Work closely with Cyber Security Engineering and Technology teams Provide clear, risk-based reporting on supplier security posture What We're Looking For Essential Experience Strong background in cyber security, infrastructure security, cloud security, or security engineering Proven experience in Third Party Risk Management (TPRM) or supplier assurance Experience performing technical security assessments of suppliers or systems Strong understanding of: Cloud security (AWS / Azure / GCP) IAM, network, and application security Hands-on experience with ISO 27001 audits and technical control assessment Ability to review and challenge security evidence (e.g. pen tests, SOC reports) Experience working in complex environments with multiple suppliers (50-100+) Desirable ISO 27001 Lead Auditor certification CISSP, CISM, CRISC or similar Background in security engineering, cloud security, or infrastructure security Financial services or regulated environment experience What You'll Bring A strong technical mindset and attention to detail Confidence challenging suppliers on security design and controls Ability to translate technical risk into clear outcomes Strong communication with both engineers and senior stakeholders Ownership of your supplier portfolio in a remote environment Candidates will ideally show evidence of the above in their CV to be considered. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.
Role/Job title: Enterprise architect Work Location: London, Bristol or Edinburgh Role type: Contract (Inside IR35) Mode of working: Hybrid /Office based Number of positions: 2 Our client a major retail and commercial bank is currently looking for an Enterprise Cloud & Data Architect to be responsible for defining and delivering enterprise-wide cloud and data architecture strategies , ensuring alignment with business objectives, regulatory requirements, and technology roadmaps. The role provides thought leadership in modernising the technology landscape, driving scalable, secure, and resilient cloud and data platforms Required Skills & Experience: Core Skills: Strong experience in Enterprise Architecture / Cloud Architecture / Data Architecture Proven ability to define architecture strategies and roadmaps Experience with modern cloud-native and data platforms Technical Expertise: Cloud platforms: Azure / AWS / GCP Data technologies: Data Lakes, Lakehouse, Data Mesh ETL/ELT pipelines, streaming (Kafka, Spark) Architecture patterns: Microservices, APIs, event-driven design Understanding of data governance, security, and compliance Key Responsibilities: 1. Enterprise Architecture & Strategy Define and drive enterprise cloud and data architecture strategy and roadmaps Ensure alignment with business strategy, platform objectives, and regulatory requirements Provide technical leadership and governance across programmes and platforms 2. Cloud Architecture & Modernisation Design and implement cloud-native architectures (Azure / AWS / GCP) Define: Cloud migration strategies Hybrid/multi-cloud patterns Scalability, resilience, and security frameworks Drive adoption of microservices, APIs, and event-driven architecture 3. Data Architecture & Engineering Define enterprise data architecture frameworks (e.g., Data Mesh, Lakehouse, Data Fabric) 4. Governance & Standards 5. Stakeholder Collaboration 6. Innovation & Continuous Improvement This is an excellent opportunity to join a major British retail and commercial bank that operates independently, focusing on digital banking, mortgages, and personal accounts. Forward your CV Now to be considered.
May 16, 2026
Contractor
Role/Job title: Enterprise architect Work Location: London, Bristol or Edinburgh Role type: Contract (Inside IR35) Mode of working: Hybrid /Office based Number of positions: 2 Our client a major retail and commercial bank is currently looking for an Enterprise Cloud & Data Architect to be responsible for defining and delivering enterprise-wide cloud and data architecture strategies , ensuring alignment with business objectives, regulatory requirements, and technology roadmaps. The role provides thought leadership in modernising the technology landscape, driving scalable, secure, and resilient cloud and data platforms Required Skills & Experience: Core Skills: Strong experience in Enterprise Architecture / Cloud Architecture / Data Architecture Proven ability to define architecture strategies and roadmaps Experience with modern cloud-native and data platforms Technical Expertise: Cloud platforms: Azure / AWS / GCP Data technologies: Data Lakes, Lakehouse, Data Mesh ETL/ELT pipelines, streaming (Kafka, Spark) Architecture patterns: Microservices, APIs, event-driven design Understanding of data governance, security, and compliance Key Responsibilities: 1. Enterprise Architecture & Strategy Define and drive enterprise cloud and data architecture strategy and roadmaps Ensure alignment with business strategy, platform objectives, and regulatory requirements Provide technical leadership and governance across programmes and platforms 2. Cloud Architecture & Modernisation Design and implement cloud-native architectures (Azure / AWS / GCP) Define: Cloud migration strategies Hybrid/multi-cloud patterns Scalability, resilience, and security frameworks Drive adoption of microservices, APIs, and event-driven architecture 3. Data Architecture & Engineering Define enterprise data architecture frameworks (e.g., Data Mesh, Lakehouse, Data Fabric) 4. Governance & Standards 5. Stakeholder Collaboration 6. Innovation & Continuous Improvement This is an excellent opportunity to join a major British retail and commercial bank that operates independently, focusing on digital banking, mortgages, and personal accounts. Forward your CV Now to be considered.
Award-winning and bold innovation. Modern Tech-Stack. Impacting the future. Technical Lead - Artificial Intelligence £70,000 - £77,000 plus benefits Reports to: Head of Engineering Grade: P3 (MP) Directorate : Chief Operating Office Contract : 2 year fixed-term contract Hours: Full time 35 hours per week Location: Stratford, London , high flexibility. We know great work doesn't happen in just one place or one way. This role is designed to be highly flexible, with the opportunity to work largely remotely, alongside occasional time in our offices for collaboration when it adds the most value. Visa sponsorship: You must be eligible to work in the UK to apply for this vacancy. Cancer Research UK is not able to offer visa sponsorship. Closing date: 31 May 2026, 23:55. Note we are shortlisting on an ongoing basis - please do not delay applying for the role. How do I apply? We operate an anonymised shortlisting process in our commitment to equality, diversity, and inclusion. CVs are required for all applications; but we won't be able to view them until we invite you for an interview. Instead, we ask you to fully complete the application questions and work history section of the online application form for us to be able to assess you quickly, fairly, and objectively. If you require more time to apply as part of a reasonable adjustment, please contact as soon as possible. Recruitment process: 3 stage interview process consisting of a screening call, role-based competency interview and technical task. At Cancer Research UK, we exist to beat cancer. At Cancer Research UK, we are a community of professionals with purpose. Every day, we push boundaries to beat cancer-yet we know we must go. Technical Lead - Artificial Intelligence At Cancer Research UK, we're harnessing the power of Artificial Intelligence to help beat cancer. From Generative and Agentic AI to machine learning, AI is becoming a transformative capability across our organisation - helping us work smarter, accelerate scientific discovery, and create more personalised and meaningful experiences for our supporters. This is a chance to take on a highly flexible Technical Lead role where you can apply your deep technical expertise to purposeful work, while enjoying the autonomy to work largely remotely and shape solutions that genuinely matter. About the role As a Technical Lead, you'll play a critical role in turning ambitious AI opportunities into high quality, scalable technology solutions. You'll work across the full lifecycle - from early stage ideas and proof of concepts through to production ready systems that are embedded into the organisation. You'll be accountable for technical quality and delivery, working in a highly matrixed environment alongside internal product teams and trusted external partners. Technology agnostic and adaptable, you'll help shape problem statements, align solution designs to our AI vision, and guide teams through complex technical decisions. This is a hands on leadership role that offers variety, influence, and the opportunity to help define how engineering practices evolve in the age of AI - all while supporting a mission that saves lives. What will I be doing? Act as Technical Lead for key AI initiatives at different stages - from emerging ideas and proofs of concept through to solutions ready to scale and operationalise Assess technical complexity, feasibility, and effort, helping teams make informed delivery decisions Identify where foundational changes to platforms or infrastructure are needed to unlock AI capabilities Work with Product Managers and colleagues to assess when and how to partner with external suppliers Collaborate closely with Product and Project Managers, Architects, UX and Service Designers, and Business Analysts to understand user needs and iteratively design effective solutions Provide technical assurance and constructive challenge for external technology partners Validate high level designs and support smooth transitions from design into delivery Produce low level designs, technical work plans, and documentation in line with delivery standards Proactively surface technical risks, issues, and dependencies to initiative leads Contribute significantly to testing strategies and plans to ensure solutions are robust, secure, and reliable What are we looking for? We're looking for someone who brings both strong technical leadership and a genuine interest in how AI can create real world value. You'll have: Experience delivering Commercial Off the Shelf (COTS) and Software as a Service (SaaS) solutions, from procurement through to live operation Recent, hands on experience writing clean, maintainable, and well tested code using proven design patterns The curiosity and adaptability to learn new languages, frameworks, and tools Deep technical expertise and the confidence to tackle complex problems independently A strong interest in AI and innovation, with the ability to role model how modern engineering practices can evolve to deliver greater impact Experience working across a range of domains, with the ability to context switch as priorities change Proven experience running critical services in production and designing scalable, secure, and highly available systems Experience acting as a technical lead: defining solutions from scratch, shaping technical direction, and reviewing the work of other engineers Knowledge of modern software delivery approaches (e.g. Scrum, Kanban), with some understanding of spec driven development Excellent communication skills, enabling you to explain complex ideas clearly and influence both technical and non technical stakeholders Comfort working in complex environments with multiple priorities, and the resilience to adapt to continual change Highly desirable to have experience implementing bespoke data, machine learning or AI solutions from pilot through to operationalisation. Ideally hold a professional certification (e.g. cloud architect) in at least one major cloud data platform (e.g. GCP, Azure, AWS, Snowflake, Databricks) and will, ideally, be an active participant in that cloud's community. Our organisation values are designed to guide all that we do. Bold: Act with ambition, courage and determination Credible: Act with rigour and professionalism Human: Act to have a positive impact on people Together: Act inclusively and collaboratively We're looking for people who can believe in and embody these organisation values and can use them to drive forward progress against our mission to beat cancer. You'll help make breakthroughs possible-not just in laboratories, but in parliaments, communities and homes across the UK. Together, we're building a future where everybody lives longer, better lives free from the fear of cancer. Ready to use your voice to help save lives? We'd love to hear from you. What will I gain? We create a working environment that supports your wellbeing and provide a generous benefits package, a wide range of career and personal development opportunities and high-quality tools. Our policies and processes enable you to improve your work-life balance, take positive steps in your career and achieve your personal wellbeing goals. You can explore our benefits by visiting our careers web page. Internal applicants' eligibility criteria Internal candidates should ideally have completed their 6-month 'getting started' period before applying for other roles. You should also advise your current line manager at the point you make an internal application, or at the latest, at the point of being invited for an interview. All internal candidates applying for a secondment, must have: completed their getting started period discussed their intention to apply and gained approval to apply with their line manager been in their substantive (home) role for at least 6 months (this is only applicable if you have previously been on secondment) If you do not confirm that you meet these requirements, we will not be able to progress your application. Additional information For more information about working with us please visit our website or contact us at . For more updates on our work and careers, follow us on: LinkedIn, Facebook, Instagram, X and YouTube.
May 16, 2026
Full time
Award-winning and bold innovation. Modern Tech-Stack. Impacting the future. Technical Lead - Artificial Intelligence £70,000 - £77,000 plus benefits Reports to: Head of Engineering Grade: P3 (MP) Directorate : Chief Operating Office Contract : 2 year fixed-term contract Hours: Full time 35 hours per week Location: Stratford, London , high flexibility. We know great work doesn't happen in just one place or one way. This role is designed to be highly flexible, with the opportunity to work largely remotely, alongside occasional time in our offices for collaboration when it adds the most value. Visa sponsorship: You must be eligible to work in the UK to apply for this vacancy. Cancer Research UK is not able to offer visa sponsorship. Closing date: 31 May 2026, 23:55. Note we are shortlisting on an ongoing basis - please do not delay applying for the role. How do I apply? We operate an anonymised shortlisting process in our commitment to equality, diversity, and inclusion. CVs are required for all applications; but we won't be able to view them until we invite you for an interview. Instead, we ask you to fully complete the application questions and work history section of the online application form for us to be able to assess you quickly, fairly, and objectively. If you require more time to apply as part of a reasonable adjustment, please contact as soon as possible. Recruitment process: 3 stage interview process consisting of a screening call, role-based competency interview and technical task. At Cancer Research UK, we exist to beat cancer. At Cancer Research UK, we are a community of professionals with purpose. Every day, we push boundaries to beat cancer-yet we know we must go. Technical Lead - Artificial Intelligence At Cancer Research UK, we're harnessing the power of Artificial Intelligence to help beat cancer. From Generative and Agentic AI to machine learning, AI is becoming a transformative capability across our organisation - helping us work smarter, accelerate scientific discovery, and create more personalised and meaningful experiences for our supporters. This is a chance to take on a highly flexible Technical Lead role where you can apply your deep technical expertise to purposeful work, while enjoying the autonomy to work largely remotely and shape solutions that genuinely matter. About the role As a Technical Lead, you'll play a critical role in turning ambitious AI opportunities into high quality, scalable technology solutions. You'll work across the full lifecycle - from early stage ideas and proof of concepts through to production ready systems that are embedded into the organisation. You'll be accountable for technical quality and delivery, working in a highly matrixed environment alongside internal product teams and trusted external partners. Technology agnostic and adaptable, you'll help shape problem statements, align solution designs to our AI vision, and guide teams through complex technical decisions. This is a hands on leadership role that offers variety, influence, and the opportunity to help define how engineering practices evolve in the age of AI - all while supporting a mission that saves lives. What will I be doing? Act as Technical Lead for key AI initiatives at different stages - from emerging ideas and proofs of concept through to solutions ready to scale and operationalise Assess technical complexity, feasibility, and effort, helping teams make informed delivery decisions Identify where foundational changes to platforms or infrastructure are needed to unlock AI capabilities Work with Product Managers and colleagues to assess when and how to partner with external suppliers Collaborate closely with Product and Project Managers, Architects, UX and Service Designers, and Business Analysts to understand user needs and iteratively design effective solutions Provide technical assurance and constructive challenge for external technology partners Validate high level designs and support smooth transitions from design into delivery Produce low level designs, technical work plans, and documentation in line with delivery standards Proactively surface technical risks, issues, and dependencies to initiative leads Contribute significantly to testing strategies and plans to ensure solutions are robust, secure, and reliable What are we looking for? We're looking for someone who brings both strong technical leadership and a genuine interest in how AI can create real world value. You'll have: Experience delivering Commercial Off the Shelf (COTS) and Software as a Service (SaaS) solutions, from procurement through to live operation Recent, hands on experience writing clean, maintainable, and well tested code using proven design patterns The curiosity and adaptability to learn new languages, frameworks, and tools Deep technical expertise and the confidence to tackle complex problems independently A strong interest in AI and innovation, with the ability to role model how modern engineering practices can evolve to deliver greater impact Experience working across a range of domains, with the ability to context switch as priorities change Proven experience running critical services in production and designing scalable, secure, and highly available systems Experience acting as a technical lead: defining solutions from scratch, shaping technical direction, and reviewing the work of other engineers Knowledge of modern software delivery approaches (e.g. Scrum, Kanban), with some understanding of spec driven development Excellent communication skills, enabling you to explain complex ideas clearly and influence both technical and non technical stakeholders Comfort working in complex environments with multiple priorities, and the resilience to adapt to continual change Highly desirable to have experience implementing bespoke data, machine learning or AI solutions from pilot through to operationalisation. Ideally hold a professional certification (e.g. cloud architect) in at least one major cloud data platform (e.g. GCP, Azure, AWS, Snowflake, Databricks) and will, ideally, be an active participant in that cloud's community. Our organisation values are designed to guide all that we do. Bold: Act with ambition, courage and determination Credible: Act with rigour and professionalism Human: Act to have a positive impact on people Together: Act inclusively and collaboratively We're looking for people who can believe in and embody these organisation values and can use them to drive forward progress against our mission to beat cancer. You'll help make breakthroughs possible-not just in laboratories, but in parliaments, communities and homes across the UK. Together, we're building a future where everybody lives longer, better lives free from the fear of cancer. Ready to use your voice to help save lives? We'd love to hear from you. What will I gain? We create a working environment that supports your wellbeing and provide a generous benefits package, a wide range of career and personal development opportunities and high-quality tools. Our policies and processes enable you to improve your work-life balance, take positive steps in your career and achieve your personal wellbeing goals. You can explore our benefits by visiting our careers web page. Internal applicants' eligibility criteria Internal candidates should ideally have completed their 6-month 'getting started' period before applying for other roles. You should also advise your current line manager at the point you make an internal application, or at the latest, at the point of being invited for an interview. All internal candidates applying for a secondment, must have: completed their getting started period discussed their intention to apply and gained approval to apply with their line manager been in their substantive (home) role for at least 6 months (this is only applicable if you have previously been on secondment) If you do not confirm that you meet these requirements, we will not be able to progress your application. Additional information For more information about working with us please visit our website or contact us at . For more updates on our work and careers, follow us on: LinkedIn, Facebook, Instagram, X and YouTube.
Summer-Browning Associates is currently supporting our public sector client, who is seeking a GCP Test Lead for an initial twelve-month assignment with the option to extend. Location: Hybrid working - London (x3 days per week onsite) About the role: You will be responsible for supporting the validation, assurance, and testing of cloud-hosted platforms, infrastructure, and services operating within secure Google Distributed Cloud (GDC) and private cloud environments. The ideal candidate will hold Active SC or DV and have a strong background in delivery GCP Test Lead support, with the following skills and experience: Experience testing cloud-hosted or cloud-native platforms and services. Knowledge of Agile, DevOps, and DevSecOps delivery practice. Experience supporting infrastructure, integration, and platform testing activities Experience working with cloud platforms, ideally Google Cloud Platform Knowledge of Kubernetes, containerised platforms, and Infrastructure-as-Code concepts (e.g. Terraform) Familiarity with CI/CD pipelines and automated deployment approaches Experience with automated testing frameworks or scripting languages e.g. Python (Desirable) Google Cloud or testing-related certifications (Desirable)
May 16, 2026
Contractor
Summer-Browning Associates is currently supporting our public sector client, who is seeking a GCP Test Lead for an initial twelve-month assignment with the option to extend. Location: Hybrid working - London (x3 days per week onsite) About the role: You will be responsible for supporting the validation, assurance, and testing of cloud-hosted platforms, infrastructure, and services operating within secure Google Distributed Cloud (GDC) and private cloud environments. The ideal candidate will hold Active SC or DV and have a strong background in delivery GCP Test Lead support, with the following skills and experience: Experience testing cloud-hosted or cloud-native platforms and services. Knowledge of Agile, DevOps, and DevSecOps delivery practice. Experience supporting infrastructure, integration, and platform testing activities Experience working with cloud platforms, ideally Google Cloud Platform Knowledge of Kubernetes, containerised platforms, and Infrastructure-as-Code concepts (e.g. Terraform) Familiarity with CI/CD pipelines and automated deployment approaches Experience with automated testing frameworks or scripting languages e.g. Python (Desirable) Google Cloud or testing-related certifications (Desirable)
