About Amro Data Labs
Amro Data Labs is a specialist intelligence, AI and automation consultancy for the real estate investment and asset management sector. Our flagship client, Amro Partners, is a high-growth European real estate investment firm focused on the Living Sector.
Our team works at the intersection of data science, AI/ML, engineering, and automation to deliver institutional-grade decision infrastructure.
About the Role
We're looking for a fast-learner, early to mid-career Data Engineer to join our growing London team and help power our real estate market intelligence platform. Working alongside our Data team in our London office, you'll design and maintain the ETL pipelines, scrapers, and transformation workflows that capture millions of data points across the UK and Europe daily.
This is a hands-on engineering role: you'll be building pipelines, shipping production code, and shaping how we work with data, not just maintaining what's already there.
We operate a hybrid working model, with team members typically in our London office around 3 days a week. Exact arrangements may vary by team and manager. We're open to considering visa sponsorship for the right candidate.
Key Responsibilities
Design, build, and maintain efficient and reliable data pipelines using Python and GCP, supporting daily ingestion of rental and availability data across multiple geographies.
Develop and maintain Python-based web scrapers (Playwright, BS4).
Write and optimise SQL transformation workflows (Dataform, BigQuery) to turn raw scraper output into clean, analytics-ready datasets.
Build and maintain LLM-driven workflows within our ETL pipelines, including sensible checks for output quality, hallucination, and graceful failure.
Implement data quality and validation frameworks across our extraction and transformation layers to ensure integrity at scale.
Collaborate closely with the wider Data team and cross-functional stakeholders to support data-driven decision-making across the business.
Stay current with developments and best practices in data engineering and bring them into how we work.
Required Skills and Qualifications
Master's degree in Computer Science, Engineering, Data Science, or a related field.
3+ years of professional experience as a Data Engineer or in a closely related role.
Strong Python skills, including object-oriented programming and building production ETL/ELT pipelines. 3+ years of professional, hands-on experience is ideal.
Strong SQL skills, able to write and optimise advanced queries for transformation and analytics. 3+ years of professional, hands-on experience is ideal.
Hands-on experience with cloud data platforms. GCP (BigQuery, Cloud Storage, Cloud Run, Firestore, Dataform) is preferred, but equivalent experience on AWS or Azure is welcome. We care more about depth than the specific provider.
Experience working with web scraping libraries (Playwright, Scrapy, or similar).
Working knowledge of LLM APIs (OpenAI, Gemini, or similar) and how to integrate them into data pipelines.
Familiarity with Git, Linux, Docker, and CI/CD workflows (GitHub Actions or similar).
Experience with NoSQL datastores (Firestore or similar).
Strong problem-solving instincts and good written and verbal communication.
Experience with data testing frameworks (Pytest, Great Expectations, Dataplex).
Preferred Additional Skills
Hands-on experience with AI-assisted IDEs and LLM-powered coding tools is desired.
Experience with Terraform or other IaC tools.
Experience with data visualisation tools (Tableau, Power BI, Looker).
Familiarity with machine learning or data science concepts.
Certified GCP Data Engineer.
Experience working in a fast-paced, agile environment.
Technical Stack
You'll be working within (and contributing to) a stack that includes:
Languages & libraries: Python, SQL, YAML
GCP: BigQuery, Cloud Storage, Cloud Run Jobs/Functions, Cloud Build, Cloud Scheduler, Firestore, Dataform, Artifact Registry, Secret Manager, Dataflow, Compute Engine
DevOps & tooling: GitHub, GitHub Actions, Docker, Terraform, Linux, Pytest, Pydantic, Jira
Amro is an Equal Opportunity Employer
29/05/2026
Full time
About Amro Data Labs
Amro Data Labs is a specialist intelligence, AI and automation consultancy for the real estate investment and asset management sector. Our flagship client, Amro Partners, is a high-growth European real estate investment firm focused on the Living Sector.
Our team works at the intersection of data science, AI/ML, engineering, and automation to deliver institutional-grade decision infrastructure.
About the Role
We're looking for a fast-learner, early to mid-career Data Engineer to join our growing London team and help power our real estate market intelligence platform. Working alongside our Data team in our London office, you'll design and maintain the ETL pipelines, scrapers, and transformation workflows that capture millions of data points across the UK and Europe daily.
This is a hands-on engineering role: you'll be building pipelines, shipping production code, and shaping how we work with data, not just maintaining what's already there.
We operate a hybrid working model, with team members typically in our London office around 3 days a week. Exact arrangements may vary by team and manager. We're open to considering visa sponsorship for the right candidate.
Key Responsibilities
Design, build, and maintain efficient and reliable data pipelines using Python and GCP, supporting daily ingestion of rental and availability data across multiple geographies.
Develop and maintain Python-based web scrapers (Playwright, BS4).
Write and optimise SQL transformation workflows (Dataform, BigQuery) to turn raw scraper output into clean, analytics-ready datasets.
Build and maintain LLM-driven workflows within our ETL pipelines, including sensible checks for output quality, hallucination, and graceful failure.
Implement data quality and validation frameworks across our extraction and transformation layers to ensure integrity at scale.
Collaborate closely with the wider Data team and cross-functional stakeholders to support data-driven decision-making across the business.
Stay current with developments and best practices in data engineering and bring them into how we work.
Required Skills and Qualifications
Master's degree in Computer Science, Engineering, Data Science, or a related field.
3+ years of professional experience as a Data Engineer or in a closely related role.
Strong Python skills, including object-oriented programming and building production ETL/ELT pipelines. 3+ years of professional, hands-on experience is ideal.
Strong SQL skills, able to write and optimise advanced queries for transformation and analytics. 3+ years of professional, hands-on experience is ideal.
Hands-on experience with cloud data platforms. GCP (BigQuery, Cloud Storage, Cloud Run, Firestore, Dataform) is preferred, but equivalent experience on AWS or Azure is welcome. We care more about depth than the specific provider.
Experience working with web scraping libraries (Playwright, Scrapy, or similar).
Working knowledge of LLM APIs (OpenAI, Gemini, or similar) and how to integrate them into data pipelines.
Familiarity with Git, Linux, Docker, and CI/CD workflows (GitHub Actions or similar).
Experience with NoSQL datastores (Firestore or similar).
Strong problem-solving instincts and good written and verbal communication.
Experience with data testing frameworks (Pytest, Great Expectations, Dataplex).
Preferred Additional Skills
Hands-on experience with AI-assisted IDEs and LLM-powered coding tools is desired.
Experience with Terraform or other IaC tools.
Experience with data visualisation tools (Tableau, Power BI, Looker).
Familiarity with machine learning or data science concepts.
Certified GCP Data Engineer.
Experience working in a fast-paced, agile environment.
Technical Stack
You'll be working within (and contributing to) a stack that includes:
Languages & libraries: Python, SQL, YAML
GCP: BigQuery, Cloud Storage, Cloud Run Jobs/Functions, Cloud Build, Cloud Scheduler, Firestore, Dataform, Artifact Registry, Secret Manager, Dataflow, Compute Engine
DevOps & tooling: GitHub, GitHub Actions, Docker, Terraform, Linux, Pytest, Pydantic, Jira
Amro is an Equal Opportunity Employer
Contract: Permanent, full-time Location: London (hybrid-working) Closing Date: 31 May 2026
About the role
The Lead Developer is part of a small innovation team responsible for bringing in-house a world-leading, cutting-edge AI-driven music and language teaching/analytics product. This highly skilled role focuses on reviewing, improving, and productionising our current pilot codebase while driving a roadmap of new, exciting features in partnership with our AI specialist, DevOps, and Data colleagues. The innovation team is moving to an AI-first model for development which you will initiate and lead. Reporting to the Head of Product Engineering, you will help guide and uplift our overseas development teams working on separate core products - ensuring consistent technical standards, design principles, and development processes across the wider engineering function.
About you
- Hands-on experience developing production software using AI-assisted development tools. - Expert hands-on experience with ReactJS, Next.js, and strong UI development. - Strong UI focus including Tailwind (very strong UI capability essential). - Full-stack development experience, including both NoSQL (DynamoDB) and SQL databases. - Experience designing scalable, production-grade software architectures. - Familiarity with Auth0 and Ant Design components (advantageous). - Experience of DevOps (advantageous) - Experience of data modelling and data products (advantageous) - Strong self-direction and the ability to drive enterprise-level decisions across design, development, and deployment. - Excellent communication skills, able to work effectively with local and overseas teams. - Comfortable operating in a fast-paced environment with deep technical challenges. - Technical leadership & influence able to guide technical direction, mentor others, and gain buy-in from local and overseas teams. - High autonomy & ownership comfortable setting direction, making decisions, and driving initiatives without needing close oversight. - Strong problem-solving mindset able to untangle complex technical issues in an evolving codebase and propose practical, scalable solutions. - Clear, confident communication able to explain design decisions, negotiate priorities, and collaborate with technical and non-technical stakeholders.
Our benefits
Trinity provides a work environment that is stimulating, inspiring and fair. Our approach to reward values our employees while ensuring each person’s contribution makes us great as an organisation. As an employee, you’ll enjoy a range of benefits here at Trinity.
Our commitment
Trinity is open to all applicants from different backgrounds and we are committed to building a more diverse and inclusive workplace. All applications are dealt with in the strictest of confidence.
We actively encourages applications from candidates of all abilities. As a Disability Confident employer, we are dedicated to creating a workplace that is accessible, supportive, and welcoming for individuals with different abilities. We will make sure you can be interviewed fairly if you have a disability, long term health condition, or are neuro-diverse.
Trinity promotes and welcome applications from a wide range of candidates, including those with criminal records. In line with the requirements of the Rehabilitation of Offenders Act (1974), we select all candidates for interview based on their competencies, qualifications and knowledge.
To learn more about our DEI commitment as an equal opportunities employer, please visit our Equality, diversity and inclusion page.
How to Apply
To apply, please follow the Apply for This Job link on this page and you will be directed to the Trinity College London application page. We reserve the right to close the advert earlier if we receive a high volume of interest so please do not delay if interested.
Trinity College London does not hold a job visa sponsorship licence and so is not in a position to sponsor visas in the UK.
All posts are subject to a safer recruitment process, including the disclosure of criminal records and vetting checks. Upon successful appointment into the role, you will be required to complete our vetting procedures as with all Trinity College London employees. This is carried out by a 3rd party supplier and our standard background checks consist of Right to Work in the UK, Identity Check, Employment History check, Financial Probity Check, Highest Academic Qualifications Check and a basic DBS check.
Trinity College London will collect and use your personal information for our recruitment process in accordance with our Recruitment Privacy Notice . Trinity College London will hold candidate data on file for no more than six months from application submission. If you want your information to be removed earlier, please contact us directly. If we want to hold your information beyond the six months, we will contact you to get your consent.
Our data protection policy can be viewed in full here .
13/05/2026
Full time
Contract: Permanent, full-time Location: London (hybrid-working) Closing Date: 31 May 2026
About the role
The Lead Developer is part of a small innovation team responsible for bringing in-house a world-leading, cutting-edge AI-driven music and language teaching/analytics product. This highly skilled role focuses on reviewing, improving, and productionising our current pilot codebase while driving a roadmap of new, exciting features in partnership with our AI specialist, DevOps, and Data colleagues. The innovation team is moving to an AI-first model for development which you will initiate and lead. Reporting to the Head of Product Engineering, you will help guide and uplift our overseas development teams working on separate core products - ensuring consistent technical standards, design principles, and development processes across the wider engineering function.
About you
- Hands-on experience developing production software using AI-assisted development tools. - Expert hands-on experience with ReactJS, Next.js, and strong UI development. - Strong UI focus including Tailwind (very strong UI capability essential). - Full-stack development experience, including both NoSQL (DynamoDB) and SQL databases. - Experience designing scalable, production-grade software architectures. - Familiarity with Auth0 and Ant Design components (advantageous). - Experience of DevOps (advantageous) - Experience of data modelling and data products (advantageous) - Strong self-direction and the ability to drive enterprise-level decisions across design, development, and deployment. - Excellent communication skills, able to work effectively with local and overseas teams. - Comfortable operating in a fast-paced environment with deep technical challenges. - Technical leadership & influence able to guide technical direction, mentor others, and gain buy-in from local and overseas teams. - High autonomy & ownership comfortable setting direction, making decisions, and driving initiatives without needing close oversight. - Strong problem-solving mindset able to untangle complex technical issues in an evolving codebase and propose practical, scalable solutions. - Clear, confident communication able to explain design decisions, negotiate priorities, and collaborate with technical and non-technical stakeholders.
Our benefits
Trinity provides a work environment that is stimulating, inspiring and fair. Our approach to reward values our employees while ensuring each person’s contribution makes us great as an organisation. As an employee, you’ll enjoy a range of benefits here at Trinity.
Our commitment
Trinity is open to all applicants from different backgrounds and we are committed to building a more diverse and inclusive workplace. All applications are dealt with in the strictest of confidence.
We actively encourages applications from candidates of all abilities. As a Disability Confident employer, we are dedicated to creating a workplace that is accessible, supportive, and welcoming for individuals with different abilities. We will make sure you can be interviewed fairly if you have a disability, long term health condition, or are neuro-diverse.
Trinity promotes and welcome applications from a wide range of candidates, including those with criminal records. In line with the requirements of the Rehabilitation of Offenders Act (1974), we select all candidates for interview based on their competencies, qualifications and knowledge.
To learn more about our DEI commitment as an equal opportunities employer, please visit our Equality, diversity and inclusion page.
How to Apply
To apply, please follow the Apply for This Job link on this page and you will be directed to the Trinity College London application page. We reserve the right to close the advert earlier if we receive a high volume of interest so please do not delay if interested.
Trinity College London does not hold a job visa sponsorship licence and so is not in a position to sponsor visas in the UK.
All posts are subject to a safer recruitment process, including the disclosure of criminal records and vetting checks. Upon successful appointment into the role, you will be required to complete our vetting procedures as with all Trinity College London employees. This is carried out by a 3rd party supplier and our standard background checks consist of Right to Work in the UK, Identity Check, Employment History check, Financial Probity Check, Highest Academic Qualifications Check and a basic DBS check.
Trinity College London will collect and use your personal information for our recruitment process in accordance with our Recruitment Privacy Notice . Trinity College London will hold candidate data on file for no more than six months from application submission. If you want your information to be removed earlier, please contact us directly. If we want to hold your information beyond the six months, we will contact you to get your consent.
Our data protection policy can be viewed in full here .
Become a change maker and join Node4.
Node4 have a committed, talented, and diverse workforce that is growing all the time, but as we expand through our own growth and acquisitions, we never lose sight of the most important part of our business - our people. We want you to grow, learn, and evolve alongside us.
So, whether you're just starting out in your career or looking to progress as an industry professional, Node4 has a place for you.
About the role As a Public Cloud Second Line Engineer, you’ll provide advanced, customer‑facing technical support across Microsoft Azure and Microsoft 365 within a managed services environment. Acting as a key escalation point from 1st Line, you’ll take ownership of incidents and service requests end‑to‑end – from deep technical investigation through to resolution or structured escalation to 3rd Line engineering teams.
You’ll work hands‑on with cloud and productivity platforms, diagnose complex issues, apply permanent fixes where appropriate, and communicate clearly with customers throughout the incident lifecycle. You’ll also collaborate closely with internal teams to ensure services are delivered in line with agreed SLAs and customer expectations.
This role will also include providing on‑site cover when required at a customer site in West Yorkshire, as well as participation in an on‑call rota, including night shifts.
What you’ll be doing
Acting as a 2nd Line escalation point for Azure and Microsoft 365 incidents and service requests
Owning incidents from investigation through to resolution, keeping customers informed throughout
Providing advanced troubleshooting across Microsoft Azure, including:
Virtual Machines
Azure Storage, Backup and Recovery
Azure Monitor, Log Analytics and alerting
Azure Active Directory and RBAC
Supporting Microsoft 365 services, including:
Exchange Online (mail flow, mailbox issues, permissions and hybrid scenarios)
SharePoint Online and OneDrive for Business
Microsoft Teams (calling, meetings, integrations and client issues)
Microsoft 365 security and compliance features (where applicable)
Escalating complex or high‑impact issues to 3rd Line teams with clear technical detail and evidence
Supporting planned changes, maintenance and service improvement activities
Creating and maintaining technical documentation, knowledge base articles and known error records
Working closely with Service Desk, Cloud Engineering and wider teams to deliver a consistent support experience
Providing on‑site support when required
What will you bring?
2–3 years’ experience supporting Microsoft technologies in a production environment
Strong hands‑on experience with Microsoft Azure
Strong experience supporting Microsoft 365 workloads
Experience supporting hybrid environments (on‑premises integrated with Azure and M365)
Working knowledge of ITIL‑aligned support environments
Excellent customer service skills with the ability to manage multiple priorities
Strong troubleshooting, analytical and problem‑solving capability
Clear written and verbal communication skills, including technical documentation
Ability to achieve and maintain NPPV3 with SC clearance
Desirable:
Valid UK driving licence and access to a car
Microsoft certifications such as AZ‑900 and AZ‑104
Experience supporting large or complex tenant environments
What can we offer you?
Hybrid Working
Private Medical Insurance or Company Paid Health Cash Plan
Employee Assistance Program
25 days holidays plus your birthday off
Option to purchase additional holiday (up to 5 days)
Company Pension Scheme
Life Assurance x 4
A diverse workforce
Employee investment with Node4 training Academy
Family savings and shopping discounts through the Node4 benefits portal.
Discounted Gym Membership
Modern facilities with open and welcoming breakout areas
Company Social events
Never ending supply of hot and cold drinks, biscuits, sweets, and fruit
Why join Node4?
Founded in 2004, Node4 has experienced exceptional growth and success over the years. From an office in Derby to locations nationwide. From three people to a workforce of over 1200. We believe that our people are the driving force behind our success. We are a vibrant, passionate, and diverse team committed to providing exceptional service as standard. We are proud of our employees and the environment that reflects our core business values of Passion, Innovation, and Trust.
09/03/2026
Full time
Become a change maker and join Node4.
Node4 have a committed, talented, and diverse workforce that is growing all the time, but as we expand through our own growth and acquisitions, we never lose sight of the most important part of our business - our people. We want you to grow, learn, and evolve alongside us.
So, whether you're just starting out in your career or looking to progress as an industry professional, Node4 has a place for you.
About the role As a Public Cloud Second Line Engineer, you’ll provide advanced, customer‑facing technical support across Microsoft Azure and Microsoft 365 within a managed services environment. Acting as a key escalation point from 1st Line, you’ll take ownership of incidents and service requests end‑to‑end – from deep technical investigation through to resolution or structured escalation to 3rd Line engineering teams.
You’ll work hands‑on with cloud and productivity platforms, diagnose complex issues, apply permanent fixes where appropriate, and communicate clearly with customers throughout the incident lifecycle. You’ll also collaborate closely with internal teams to ensure services are delivered in line with agreed SLAs and customer expectations.
This role will also include providing on‑site cover when required at a customer site in West Yorkshire, as well as participation in an on‑call rota, including night shifts.
What you’ll be doing
Acting as a 2nd Line escalation point for Azure and Microsoft 365 incidents and service requests
Owning incidents from investigation through to resolution, keeping customers informed throughout
Providing advanced troubleshooting across Microsoft Azure, including:
Virtual Machines
Azure Storage, Backup and Recovery
Azure Monitor, Log Analytics and alerting
Azure Active Directory and RBAC
Supporting Microsoft 365 services, including:
Exchange Online (mail flow, mailbox issues, permissions and hybrid scenarios)
SharePoint Online and OneDrive for Business
Microsoft Teams (calling, meetings, integrations and client issues)
Microsoft 365 security and compliance features (where applicable)
Escalating complex or high‑impact issues to 3rd Line teams with clear technical detail and evidence
Supporting planned changes, maintenance and service improvement activities
Creating and maintaining technical documentation, knowledge base articles and known error records
Working closely with Service Desk, Cloud Engineering and wider teams to deliver a consistent support experience
Providing on‑site support when required
What will you bring?
2–3 years’ experience supporting Microsoft technologies in a production environment
Strong hands‑on experience with Microsoft Azure
Strong experience supporting Microsoft 365 workloads
Experience supporting hybrid environments (on‑premises integrated with Azure and M365)
Working knowledge of ITIL‑aligned support environments
Excellent customer service skills with the ability to manage multiple priorities
Strong troubleshooting, analytical and problem‑solving capability
Clear written and verbal communication skills, including technical documentation
Ability to achieve and maintain NPPV3 with SC clearance
Desirable:
Valid UK driving licence and access to a car
Microsoft certifications such as AZ‑900 and AZ‑104
Experience supporting large or complex tenant environments
What can we offer you?
Hybrid Working
Private Medical Insurance or Company Paid Health Cash Plan
Employee Assistance Program
25 days holidays plus your birthday off
Option to purchase additional holiday (up to 5 days)
Company Pension Scheme
Life Assurance x 4
A diverse workforce
Employee investment with Node4 training Academy
Family savings and shopping discounts through the Node4 benefits portal.
Discounted Gym Membership
Modern facilities with open and welcoming breakout areas
Company Social events
Never ending supply of hot and cold drinks, biscuits, sweets, and fruit
Why join Node4?
Founded in 2004, Node4 has experienced exceptional growth and success over the years. From an office in Derby to locations nationwide. From three people to a workforce of over 1200. We believe that our people are the driving force behind our success. We are a vibrant, passionate, and diverse team committed to providing exceptional service as standard. We are proud of our employees and the environment that reflects our core business values of Passion, Innovation, and Trust.
Job Description About the role: We are looking for a Senior Software Engineer to join our Send Core team. We provide the critical infrastructure that every sending transaction flows through - from 10 pounds sent to a friend to a multi-million dollar business payment. We are on a mission to make sending money as easy and fast as paying for groceries with your card. How we work: We believe that an engineer is more than just a coder. Our engineers are focused on improving our customers' experience - and they see the impact of their work on millions of people every day. Wise is all about collaboration. You will be surrounded by passionate people and work together with them to progress our mission. What will you be working on? Shape our Products: Collaborate with product, design, and data teams to deliver best experience for our customers Control Critical Infrastructure: Own the systems that every sending transaction depends on across the entire platform Drive Technical Excellence: Make architectural decisions for the core send components, making them reliable and performant Drive Backend and Frontend for our products: You will be working 80% of the time on a backend and 20% on the frontend Curiosity: Explore ways to improve our products and your day to day work What do you need? We understand that you may not have much experience in our stack, or you haven't worked with the frontend for a while - that's fine! As long as you are willing to learn and have strong fundamentals, we want to hear from you. Technical excellence Strong experience in building complex high reliability systems Ability to communicate complex technical concepts clearly and simply Strong computer science fundamentals Product mindset Focus on solving real customer problems with every change you make Clear understanding of why we are building what we are building Ability to think in product terms - not just on the code level Personal qualities Passion to always learn and grow Getting things done yourself, instead of waiting to be told what to do Benefits Starting salary: £111k - £145k + RSUs Wise Benefits Additional Information We believe teams are strongest when they are diverse, equitable and inclusive.
23/06/2026
Full time
Job Description About the role: We are looking for a Senior Software Engineer to join our Send Core team. We provide the critical infrastructure that every sending transaction flows through - from 10 pounds sent to a friend to a multi-million dollar business payment. We are on a mission to make sending money as easy and fast as paying for groceries with your card. How we work: We believe that an engineer is more than just a coder. Our engineers are focused on improving our customers' experience - and they see the impact of their work on millions of people every day. Wise is all about collaboration. You will be surrounded by passionate people and work together with them to progress our mission. What will you be working on? Shape our Products: Collaborate with product, design, and data teams to deliver best experience for our customers Control Critical Infrastructure: Own the systems that every sending transaction depends on across the entire platform Drive Technical Excellence: Make architectural decisions for the core send components, making them reliable and performant Drive Backend and Frontend for our products: You will be working 80% of the time on a backend and 20% on the frontend Curiosity: Explore ways to improve our products and your day to day work What do you need? We understand that you may not have much experience in our stack, or you haven't worked with the frontend for a while - that's fine! As long as you are willing to learn and have strong fundamentals, we want to hear from you. Technical excellence Strong experience in building complex high reliability systems Ability to communicate complex technical concepts clearly and simply Strong computer science fundamentals Product mindset Focus on solving real customer problems with every change you make Clear understanding of why we are building what we are building Ability to think in product terms - not just on the code level Personal qualities Passion to always learn and grow Getting things done yourself, instead of waiting to be told what to do Benefits Starting salary: £111k - £145k + RSUs Wise Benefits Additional Information We believe teams are strongest when they are diverse, equitable and inclusive.
Mondra is a high-growth tech start-up that is delivering a cutting-edge food system environmental insights platform to accelerate the planet's progress to NetZero carbon emissions. Following a successful Series A fundraising round, we are scaling up rapidly and preparing for significant growth in user numbers. Role Overview We are seeking a commercially aware and technically skilled Pre-Sales Technical Architect to support our sales team in scoping, designing, and communicating integration & data sourcing solutions for prospective clients. This role is pivotal in translating client data landscapes into feasible technical solutions for onboarding, ensuring alignment with Mondra's platform capabilities, and supporting a smooth handover to delivery and engineering teams. You will work closely with sales, product, and technical stakeholders to define how client data will be sourced, validated, and integrated into Mondra, leveraging where possible our existing Import and Export APIs and identifying where custom API development may be required for fulfil Mondra's data requirements. You will also contribute to the client contracting process, ensuring technical commitments are clearly defined and achievable, as well as handing over requirements for execution to our Operational teams. Responsibilities Partner with sales to understand client needs and translate them into technical requirements. Lead technical discovery sessions with prospective clients to assess data sources, integration feasibility, and solution fit. Define how client data will be onboarded into Mondra, including mapping data sources, transformation logic, and validation processes. Identify the client's BI requirements, and define data export strategies (preferably via existing Mondra API). Identify the authentication/authorisation capabilities of the client, and promote the integration with Mondra's Identity Provider via Single Sign On. Leverage Mondra's existing Input and Export APIs and identify where custom API work may be needed. Provide technical input into Statements of Work (SOWs), integration schedules, and service descriptions. Ensure all technical aspects of the solution are clearly documented and aligned with delivery capabilities. Collaborate with internal teams (sales, product, engineering, delivery) and client stakeholders to ensure clarity and alignment. Support client workshops, demos, and RFP responses with technical expertise. Prepare detailed handover documentation for delivery and engineering teams, including architecture diagrams, data flow specifications, and integration requirements. Provide insights from client engagements to inform product development and improve integration workflows. Skills Experience in a technical pre-sales, solution architecture, or sales engineering role within a SaaS environment. Strong understanding of API design, data integration, and enterprise data systems. Experience with API documentation, testing, and integration support. Excellent communication and presentation skills, with the ability to simplify complex technical concepts. Experience contributing to client contracts and technical documentation. Understanding of data governance and compliance requirements. Knowledge of supply chain data structures and PLM systems highly desirable. Experience with data mapping and ETL processes. Proficiency in data analysis and ability to assess data quality and completeness. Personal attributes and qualities Client-focused mindset with strong relationship-building capabilities. Self-motivated with ability to manage multiple client engagements simultaneously. Detail-oriented approach to data quality and integration requirements. Proactively identifies integration challenges and proposes practical, scalable solutions that align with Mondra's platform capabilities. Adaptable and quick to learn new technical concepts and business domains. Takes ownership of technical commitments made during the sales cycle and ensures a smooth transition to delivery teams with full transparency. Technical skills Experience in a technical pre-sales, solution architecture, or sales engineering role within a SaaS environment for large enterprise clients. Familiarity with RESTful APIs, JSON/XML, authentication protocols (OAuth, SAML), and cloud platforms (AWS, Azure, GCP). Understanding of cloud data platforms (Azure experience preferred). Familiarity with version control systems and technical documentation tools.
23/06/2026
Full time
Mondra is a high-growth tech start-up that is delivering a cutting-edge food system environmental insights platform to accelerate the planet's progress to NetZero carbon emissions. Following a successful Series A fundraising round, we are scaling up rapidly and preparing for significant growth in user numbers. Role Overview We are seeking a commercially aware and technically skilled Pre-Sales Technical Architect to support our sales team in scoping, designing, and communicating integration & data sourcing solutions for prospective clients. This role is pivotal in translating client data landscapes into feasible technical solutions for onboarding, ensuring alignment with Mondra's platform capabilities, and supporting a smooth handover to delivery and engineering teams. You will work closely with sales, product, and technical stakeholders to define how client data will be sourced, validated, and integrated into Mondra, leveraging where possible our existing Import and Export APIs and identifying where custom API development may be required for fulfil Mondra's data requirements. You will also contribute to the client contracting process, ensuring technical commitments are clearly defined and achievable, as well as handing over requirements for execution to our Operational teams. Responsibilities Partner with sales to understand client needs and translate them into technical requirements. Lead technical discovery sessions with prospective clients to assess data sources, integration feasibility, and solution fit. Define how client data will be onboarded into Mondra, including mapping data sources, transformation logic, and validation processes. Identify the client's BI requirements, and define data export strategies (preferably via existing Mondra API). Identify the authentication/authorisation capabilities of the client, and promote the integration with Mondra's Identity Provider via Single Sign On. Leverage Mondra's existing Input and Export APIs and identify where custom API work may be needed. Provide technical input into Statements of Work (SOWs), integration schedules, and service descriptions. Ensure all technical aspects of the solution are clearly documented and aligned with delivery capabilities. Collaborate with internal teams (sales, product, engineering, delivery) and client stakeholders to ensure clarity and alignment. Support client workshops, demos, and RFP responses with technical expertise. Prepare detailed handover documentation for delivery and engineering teams, including architecture diagrams, data flow specifications, and integration requirements. Provide insights from client engagements to inform product development and improve integration workflows. Skills Experience in a technical pre-sales, solution architecture, or sales engineering role within a SaaS environment. Strong understanding of API design, data integration, and enterprise data systems. Experience with API documentation, testing, and integration support. Excellent communication and presentation skills, with the ability to simplify complex technical concepts. Experience contributing to client contracts and technical documentation. Understanding of data governance and compliance requirements. Knowledge of supply chain data structures and PLM systems highly desirable. Experience with data mapping and ETL processes. Proficiency in data analysis and ability to assess data quality and completeness. Personal attributes and qualities Client-focused mindset with strong relationship-building capabilities. Self-motivated with ability to manage multiple client engagements simultaneously. Detail-oriented approach to data quality and integration requirements. Proactively identifies integration challenges and proposes practical, scalable solutions that align with Mondra's platform capabilities. Adaptable and quick to learn new technical concepts and business domains. Takes ownership of technical commitments made during the sales cycle and ensures a smooth transition to delivery teams with full transparency. Technical skills Experience in a technical pre-sales, solution architecture, or sales engineering role within a SaaS environment for large enterprise clients. Familiarity with RESTful APIs, JSON/XML, authentication protocols (OAuth, SAML), and cloud platforms (AWS, Azure, GCP). Understanding of cloud data platforms (Azure experience preferred). Familiarity with version control systems and technical documentation tools.
Data Architect Department: Data Employment Type: Contract Location: London Reporting To: Head of Data Description This role can be filled via fixed term contract or via daily rate (Inside IR35) via umbrella company. Initially 3 months with the potential for expansion. Role Overview This is a focused, high-value engagement to lead the data architecture of Defaqto's redesigned market data model. We have an initial view of the logical structure we need, and we are looking for an experienced architect to test, challenge, and refine that thinking - then translate it into a signed off logical model and implementation recommendations for the CTO and Head of Data to act on. What you'll do Context: We have developed an initial view of the logical architecture - centred on four core entities: Package, Component, Attribute, and Market - but this is a starting point, not a fixed brief. We are looking for an architect who will interrogate that thinking, validate it against real business requirements, and produce a model that genuinely fits how our data needs to work. The initial scope is the market data product estate and the primary research data platform. Technology choices for physical implementation have not been finalised. Google BigQuery is our existing lakehouse platform and the likely foundation, but decisions on the transformation layer, tooling, and overall implementation approach will be made during this engagement in collaboration with the CTO and Head of Data. The logical model itself is a technology agnostic deliverable; implementation recommendations are expected alongside it. The Engagement: This contract covers the design and architecture phase of the data model project (Phase 1 of a phased delivery programme). The primary output is a signed off logical data model and a technology implementation recommendation, produced in close collaboration with the CTO and Head of Data. The logical model is a technology agnostic deliverable; the implementation recommendation should be grounded in Defaqto's existing technology landscape and make a clear case for the chosen approach. A Senior Data Engineer - permanent hire, to be recruited, will own the build and ongoing implementation once the architecture is agreed. The architect's role is to design the model, recommend the implementation approach, and provide sufficient documentation that the engineering team can execute without ongoing dependency on the contractor. Scope & Constraints In Scope Logical model design for the market data product estate - core entities, relationships, and attributes Technology implementation recommendation - physical implementation approach suited to the existing stack, presented to CTO and Head of Data Compatibility view specification for research platform continuity during transition Business rule formalisation for deduplication, ratings hierarchy, and attribute priority logic Stakeholder workshops and sign off facilitation Data dictionary and handover documentation Out of Scope Transformation layer build and implementation (owned by Senior Data Engineer) Research platform frontend adaptation (Phase 2 workstream) Full estate migration beyond the initial market data scope (Phase 2+) Ongoing data governance or catalogue ownership Graph database design or implementation What you'll need to succeed Essential requirements Demonstrable experience leading logical and physical data model design for analytical data warehouses Strong command of entity relationship modelling, normalisation, and dimensional design Experience with cloud data warehouse platforms - Google BigQuery is the existing lakehouse technology; hands on experience with BigQuery or equivalent (Snowflake, Redshift, Databricks) is expected Ability to produce technology agnostic logical models and translate them into well reasoned implementation recommendations Proven ability to facilitate workshops with mixed technical and non technical stakeholders and produce signed off artefacts Experience producing data dictionaries and technical documentation to a standard usable by engineering teams Comfortable presenting architecture options and trade offs to senior technology leadership Ability to work independently and manage delivery to milestone based timelines Desirable requirements Familiarity with dbt - sufficient to design a schema that a dbt based transformation layer can implement effectively Experience designing compatibility or migration layers for legacy platform transitions Exposure to data cataloguing tools (Google Dataplex, DataHub, Atlan) Understanding of product data or market intelligence data structures Experience working within a phased, non big bang migration approach Important to know Location: This is a hybrid working role usually with 2 days each week in the office - office base can be London or Haddenham. From time to time if there are workshops, you may need to be in the office more frequently. Right to Work Applicants must already hold a legal right to work in the UK without time restrictions and without the need for future sponsorship. We are unable to provide Skilled Worker visa sponsorship.
23/06/2026
Full time
Data Architect Department: Data Employment Type: Contract Location: London Reporting To: Head of Data Description This role can be filled via fixed term contract or via daily rate (Inside IR35) via umbrella company. Initially 3 months with the potential for expansion. Role Overview This is a focused, high-value engagement to lead the data architecture of Defaqto's redesigned market data model. We have an initial view of the logical structure we need, and we are looking for an experienced architect to test, challenge, and refine that thinking - then translate it into a signed off logical model and implementation recommendations for the CTO and Head of Data to act on. What you'll do Context: We have developed an initial view of the logical architecture - centred on four core entities: Package, Component, Attribute, and Market - but this is a starting point, not a fixed brief. We are looking for an architect who will interrogate that thinking, validate it against real business requirements, and produce a model that genuinely fits how our data needs to work. The initial scope is the market data product estate and the primary research data platform. Technology choices for physical implementation have not been finalised. Google BigQuery is our existing lakehouse platform and the likely foundation, but decisions on the transformation layer, tooling, and overall implementation approach will be made during this engagement in collaboration with the CTO and Head of Data. The logical model itself is a technology agnostic deliverable; implementation recommendations are expected alongside it. The Engagement: This contract covers the design and architecture phase of the data model project (Phase 1 of a phased delivery programme). The primary output is a signed off logical data model and a technology implementation recommendation, produced in close collaboration with the CTO and Head of Data. The logical model is a technology agnostic deliverable; the implementation recommendation should be grounded in Defaqto's existing technology landscape and make a clear case for the chosen approach. A Senior Data Engineer - permanent hire, to be recruited, will own the build and ongoing implementation once the architecture is agreed. The architect's role is to design the model, recommend the implementation approach, and provide sufficient documentation that the engineering team can execute without ongoing dependency on the contractor. Scope & Constraints In Scope Logical model design for the market data product estate - core entities, relationships, and attributes Technology implementation recommendation - physical implementation approach suited to the existing stack, presented to CTO and Head of Data Compatibility view specification for research platform continuity during transition Business rule formalisation for deduplication, ratings hierarchy, and attribute priority logic Stakeholder workshops and sign off facilitation Data dictionary and handover documentation Out of Scope Transformation layer build and implementation (owned by Senior Data Engineer) Research platform frontend adaptation (Phase 2 workstream) Full estate migration beyond the initial market data scope (Phase 2+) Ongoing data governance or catalogue ownership Graph database design or implementation What you'll need to succeed Essential requirements Demonstrable experience leading logical and physical data model design for analytical data warehouses Strong command of entity relationship modelling, normalisation, and dimensional design Experience with cloud data warehouse platforms - Google BigQuery is the existing lakehouse technology; hands on experience with BigQuery or equivalent (Snowflake, Redshift, Databricks) is expected Ability to produce technology agnostic logical models and translate them into well reasoned implementation recommendations Proven ability to facilitate workshops with mixed technical and non technical stakeholders and produce signed off artefacts Experience producing data dictionaries and technical documentation to a standard usable by engineering teams Comfortable presenting architecture options and trade offs to senior technology leadership Ability to work independently and manage delivery to milestone based timelines Desirable requirements Familiarity with dbt - sufficient to design a schema that a dbt based transformation layer can implement effectively Experience designing compatibility or migration layers for legacy platform transitions Exposure to data cataloguing tools (Google Dataplex, DataHub, Atlan) Understanding of product data or market intelligence data structures Experience working within a phased, non big bang migration approach Important to know Location: This is a hybrid working role usually with 2 days each week in the office - office base can be London or Haddenham. From time to time if there are workshops, you may need to be in the office more frequently. Right to Work Applicants must already hold a legal right to work in the UK without time restrictions and without the need for future sponsorship. We are unable to provide Skilled Worker visa sponsorship.
Job Description About the role: We are looking for a Senior Software Engineer to join our Send Core team. We provide the critical infrastructure that every sending transaction flows through - from 10 pounds sent to a friend to a multi-million dollar business payment. We are on a mission to make sending money as easy and fast as paying for groceries with your card. How we work: We believe that an engineer is more than just a coder. Our engineers are focused on improving our customers' experience - and they see the impact of their work on millions of people every day. Wise is all about collaboration. You will be surrounded by passionate people and work together with them to progress our mission. What will you be working on? Shape our Products: Collaborate with product, design, and data teams to deliver best experience for our customers Control Critical Infrastructure: Own the systems that every sending transaction depends on across the entire platform Drive Technical Excellence: Make architectural decisions for the core send components, making them reliable and performant Drive Backend and Frontend for our products: You will be working 80% of the time on a backend and 20% on the frontend Curiosity: Explore ways to improve our products and your day to day work What do you need? We understand that you may not have much experience in our stack, or you haven't worked with the frontend for a while - that's fine! As long as you are willing to learn and have strong fundamentals, we want to hear from you. Technical excellence Strong experience in building complex high reliability systems Ability to communicate complex technical concepts clearly and simply Strong computer science fundamentals Product mindset Focus on solving real customer problems with every change you make Clear understanding of why we are building what we are building Ability to think in product terms - not just on the code level Personal qualities Passion to always learn and grow Getting things done yourself, instead of waiting to be told what to do Benefits Starting salary: £111k - £145k + RSUs Wise Benefits Additional Information We believe teams are strongest when they are diverse, equitable and inclusive.
23/06/2026
Full time
Job Description About the role: We are looking for a Senior Software Engineer to join our Send Core team. We provide the critical infrastructure that every sending transaction flows through - from 10 pounds sent to a friend to a multi-million dollar business payment. We are on a mission to make sending money as easy and fast as paying for groceries with your card. How we work: We believe that an engineer is more than just a coder. Our engineers are focused on improving our customers' experience - and they see the impact of their work on millions of people every day. Wise is all about collaboration. You will be surrounded by passionate people and work together with them to progress our mission. What will you be working on? Shape our Products: Collaborate with product, design, and data teams to deliver best experience for our customers Control Critical Infrastructure: Own the systems that every sending transaction depends on across the entire platform Drive Technical Excellence: Make architectural decisions for the core send components, making them reliable and performant Drive Backend and Frontend for our products: You will be working 80% of the time on a backend and 20% on the frontend Curiosity: Explore ways to improve our products and your day to day work What do you need? We understand that you may not have much experience in our stack, or you haven't worked with the frontend for a while - that's fine! As long as you are willing to learn and have strong fundamentals, we want to hear from you. Technical excellence Strong experience in building complex high reliability systems Ability to communicate complex technical concepts clearly and simply Strong computer science fundamentals Product mindset Focus on solving real customer problems with every change you make Clear understanding of why we are building what we are building Ability to think in product terms - not just on the code level Personal qualities Passion to always learn and grow Getting things done yourself, instead of waiting to be told what to do Benefits Starting salary: £111k - £145k + RSUs Wise Benefits Additional Information We believe teams are strongest when they are diverse, equitable and inclusive.
About the role Are you an experienced Data Architect looking for your next challenge? Cooper Parry is on a rapid growth trajectory, and we're seeking a Data Architect to lead the design and evolution of our enterprise data platform. This role will play a critical part in shaping a scalable, secure, and high performing data architecture built primarily on Microsoft Fabric, supporting advanced analytics, reporting, and data-driven decision making across the business. You will bring a strong data engineering background, working hands on where needed, and act as a technical authority defining best practice across data ingestion, modelling, integration, and governance. Experience working with Salesforce data is desirable, helping to ensure seamless integration between core operational systems and the analytical platform. You'll be getting stuck into a diverse range of tasks and responsibilities, including; Data Architecture & Strategy Owning and evolving the end-to-end data architecture, aligned to Cooper Parry's strategy and enterprise standards Defining architectural patterns, principles, and standards for: Data ingestion Data transformation Data modelling Analytics and reporting Acting as a trusted advisor to senior stakeholders on data architecture decisions Microsoft Fabric Platform Leadership Designing and overseeing solutions using Microsoft Fabric, including: OneLake Lakehouse and Warehouse architectures Data Pipelines Spark / Notebooks Semantic models Ensuring platform scalability, performance optimisation, cost efficiency, and security Guiding the transition from legacy platforms where applicable Data Engineering & Integration Providing technical leadership across data engineering practices, including: Batch and streaming data pipelines ELT/ETL frameworks CI/CD for data platforms Architecting robust integrations from internal and third party systems Defining data quality, validation, and monitoring standards Governance, Security & Quality Defining and enforcing: Data governance frameworks Master and reference data strategies Access control and role based security Ensuring compliance with GDPR and organisational security standards Promoting high data quality and lineage transparency Collaboration & Leadership Working closely with: Data Engineers Analytics Engineers BI Developers Product and Business stakeholders Mentoring and upskilling team members Reviewing solution designs and providing constructive architectural guidance About you At Cooper Parry, we're in it together. All we ask of our people is that they play all in. You'll continuously strive to keep learning - whether you're a trainee or a Partner - and you'll be brave, stepping out of your comfort zone to tackle new challenges. Above all, be nice. A simple notion, but an irreplaceable part of what makes CP, CP. In addition to those core values, you should also have; Proven experience as a Data Architect or Senior Data Engineer with architectural responsibility Strong hands on experience with Microsoft Fabric Deep understanding of: Modern data lakehouse architectures Dimensional and analytical data modelling Data pipeline orchestration Strong SQL skills and experience with distributed data processing Experience designing enterprise scale analytics platforms in Azure Ability to translate business requirements into robust technical solutions Experience integrating and modelling professional services data Familiarity with Power BI semantic models and DAX Experience with Azure ecosystem services (e.g. Azure AD, monitoring, networking) Experience operating in agile product or platform teams Experience designing data architectures and integrations for CRM and professional services platforms, such as Salesforce or similar systems, and understand common CRM and services data challenges, including: Complex relational structures Slowly changing dimensions Data duplication and reconciliation across systems What's in it for you? Our people are the beating heart of our culture. We know that if you love working here, and you're given the trust and autonomy to work in a way that best suits you, you'll produce amazing results. That's why we offer things like: A flexible approach to work - balancing working from home, in office or with clients A generous holiday entitlement An enhanced parental leave policy An enhanced pension scheme No dress code - just "wear something!" A multi-award winning wellbeing offering to support your physical, mental, spiritual, and financial health Volunteering opportunities to work closer with local communities and charities Cooper Parry social/sports clubs Feeling supported and welcomed is such a big part of bringing your whole self to work. As an equal opportunities employer, we'll work with you to ensure you have everything you need to develop your skills and achieve your best. For diversity & inclusion, we'll work with you to ensure you have everything you need.
23/06/2026
Full time
About the role Are you an experienced Data Architect looking for your next challenge? Cooper Parry is on a rapid growth trajectory, and we're seeking a Data Architect to lead the design and evolution of our enterprise data platform. This role will play a critical part in shaping a scalable, secure, and high performing data architecture built primarily on Microsoft Fabric, supporting advanced analytics, reporting, and data-driven decision making across the business. You will bring a strong data engineering background, working hands on where needed, and act as a technical authority defining best practice across data ingestion, modelling, integration, and governance. Experience working with Salesforce data is desirable, helping to ensure seamless integration between core operational systems and the analytical platform. You'll be getting stuck into a diverse range of tasks and responsibilities, including; Data Architecture & Strategy Owning and evolving the end-to-end data architecture, aligned to Cooper Parry's strategy and enterprise standards Defining architectural patterns, principles, and standards for: Data ingestion Data transformation Data modelling Analytics and reporting Acting as a trusted advisor to senior stakeholders on data architecture decisions Microsoft Fabric Platform Leadership Designing and overseeing solutions using Microsoft Fabric, including: OneLake Lakehouse and Warehouse architectures Data Pipelines Spark / Notebooks Semantic models Ensuring platform scalability, performance optimisation, cost efficiency, and security Guiding the transition from legacy platforms where applicable Data Engineering & Integration Providing technical leadership across data engineering practices, including: Batch and streaming data pipelines ELT/ETL frameworks CI/CD for data platforms Architecting robust integrations from internal and third party systems Defining data quality, validation, and monitoring standards Governance, Security & Quality Defining and enforcing: Data governance frameworks Master and reference data strategies Access control and role based security Ensuring compliance with GDPR and organisational security standards Promoting high data quality and lineage transparency Collaboration & Leadership Working closely with: Data Engineers Analytics Engineers BI Developers Product and Business stakeholders Mentoring and upskilling team members Reviewing solution designs and providing constructive architectural guidance About you At Cooper Parry, we're in it together. All we ask of our people is that they play all in. You'll continuously strive to keep learning - whether you're a trainee or a Partner - and you'll be brave, stepping out of your comfort zone to tackle new challenges. Above all, be nice. A simple notion, but an irreplaceable part of what makes CP, CP. In addition to those core values, you should also have; Proven experience as a Data Architect or Senior Data Engineer with architectural responsibility Strong hands on experience with Microsoft Fabric Deep understanding of: Modern data lakehouse architectures Dimensional and analytical data modelling Data pipeline orchestration Strong SQL skills and experience with distributed data processing Experience designing enterprise scale analytics platforms in Azure Ability to translate business requirements into robust technical solutions Experience integrating and modelling professional services data Familiarity with Power BI semantic models and DAX Experience with Azure ecosystem services (e.g. Azure AD, monitoring, networking) Experience operating in agile product or platform teams Experience designing data architectures and integrations for CRM and professional services platforms, such as Salesforce or similar systems, and understand common CRM and services data challenges, including: Complex relational structures Slowly changing dimensions Data duplication and reconciliation across systems What's in it for you? Our people are the beating heart of our culture. We know that if you love working here, and you're given the trust and autonomy to work in a way that best suits you, you'll produce amazing results. That's why we offer things like: A flexible approach to work - balancing working from home, in office or with clients A generous holiday entitlement An enhanced parental leave policy An enhanced pension scheme No dress code - just "wear something!" A multi-award winning wellbeing offering to support your physical, mental, spiritual, and financial health Volunteering opportunities to work closer with local communities and charities Cooper Parry social/sports clubs Feeling supported and welcomed is such a big part of bringing your whole self to work. As an equal opportunities employer, we'll work with you to ensure you have everything you need to develop your skills and achieve your best. For diversity & inclusion, we'll work with you to ensure you have everything you need.
We are looking for a Principal Architect to lead our technology strategy in AI (Artificial Intelligence), Generative AI, IA (Intelligent Automation) and agentic solution development. As a vital force driving the strategic and technical evolution of the Global Streaming Platform, this role empowers the organisation to harness ground breaking advancements in AI, including Large Language Models (LLMs), agent workflows, and machine learning infrastructures. By seamlessly integrating these cutting edge technologies into secure, scalable, and high performance enterprise solutions, the Principal Architect will enable transformative growth and ensure the company maintains its position as a world class leader. This role requires deep knowledge in AI and IA technologies, strong architectural skills, and a strategic approach to recommend tailored platform transformations and deliver advanced AI solutions to maintain the business at its world class position. What you'll do: Architectural Leadership Oversee the comprehensive architecture strategy for developing and deploying AI applications and solutions, considering data management, cybersecurity, legal aspects, appropriate platform and infrastructure adaptation and third party vendor selection and integration. Recommend the tailored level of transformation required within the current platform to adapt and exploit at scale the adoption of AI based technologies guaranteeing cost efficiency, reliability, performance and security. Design and maintain an AI extension to the platform as an integrated technology stack, independent of any specific vendors but capable of integrating with major AI models and third party commodities, for porting self serving AI in house developed solutions. Contribute to the AI roadmap and identify AI driven efficiency, innovation or automation opportunities maintaining alignment with business goals, regulatory or compliance requirements and ethical principles. Solution Design Partner with product and engineering teams to translate business requirements into scalable AI solutions. Lead the evaluation, selection, and integration of AI platforms and models, tools, and technologies. Ensure optimized integration of AI solutions with existing systems and data sources. Technical Expertise Collaborate with the product teams to assist in the refinement of AI related product requirements, and to provide early, high level advice on opportunities and possible solutions. Stay current with emerging AI trends, technologies, protocols, research breakthroughs, model development and AI software design pattern and best practices. Provide technical guidance and mentorship to the engineering teams. Collaboration and Communication Foster strong relationships with stakeholders, including business leaders, product managers. Collaborate with senior leadership to align AI initiatives with organizational goals. Communicate complex technical concepts to non technical stakeholders effectively. Promote a collaborative and innovative AI culture within the whole organisation. Work closely with project managers, data scientists, developers and IT teams to define project scope, objectives, deliverables and solutions. Partner with the FinOps team to ensure implementation of adequate monitoring and budgetary guardrails. Work closely with the procurement and legal team in the negotiations with vendors. Governance and Compliance Establish governance and define internal standards, guidelines, and best practices to ensure data privacy, security, and ethical use of AI. Ensure compliance with industry standards and international regulations. What you'll bring: Advanced degree in Computer Science, AI, or a related field. Contributions to open source AI projects or published research in AI/ML. Extensive experience in software or systems architecture, with strong focus in AI/ML domains. Proven experience designing and deploying AI solutions using frameworks such as LangChain, RAG, and vector databases or the MCP protocol. Deep understanding of LLMs, prompt engineering, model evaluation, and fine tuning strategies. Strong proficiency in ML frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (AWS, Azure, GCP). Experience with AI infrastructure components including model gateways, orchestration layers, and observability tools. Familiarity with AI governance, data privacy, international regulation and ethical AI frameworks. Excellent leadership, communication, and interpersonal skills. Strong analytical and problem solving abilities. Ability to work in a fast paced, dynamic environment. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Your office space Osterley Our Osterley Campus is a 10 minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon.
23/06/2026
Full time
We are looking for a Principal Architect to lead our technology strategy in AI (Artificial Intelligence), Generative AI, IA (Intelligent Automation) and agentic solution development. As a vital force driving the strategic and technical evolution of the Global Streaming Platform, this role empowers the organisation to harness ground breaking advancements in AI, including Large Language Models (LLMs), agent workflows, and machine learning infrastructures. By seamlessly integrating these cutting edge technologies into secure, scalable, and high performance enterprise solutions, the Principal Architect will enable transformative growth and ensure the company maintains its position as a world class leader. This role requires deep knowledge in AI and IA technologies, strong architectural skills, and a strategic approach to recommend tailored platform transformations and deliver advanced AI solutions to maintain the business at its world class position. What you'll do: Architectural Leadership Oversee the comprehensive architecture strategy for developing and deploying AI applications and solutions, considering data management, cybersecurity, legal aspects, appropriate platform and infrastructure adaptation and third party vendor selection and integration. Recommend the tailored level of transformation required within the current platform to adapt and exploit at scale the adoption of AI based technologies guaranteeing cost efficiency, reliability, performance and security. Design and maintain an AI extension to the platform as an integrated technology stack, independent of any specific vendors but capable of integrating with major AI models and third party commodities, for porting self serving AI in house developed solutions. Contribute to the AI roadmap and identify AI driven efficiency, innovation or automation opportunities maintaining alignment with business goals, regulatory or compliance requirements and ethical principles. Solution Design Partner with product and engineering teams to translate business requirements into scalable AI solutions. Lead the evaluation, selection, and integration of AI platforms and models, tools, and technologies. Ensure optimized integration of AI solutions with existing systems and data sources. Technical Expertise Collaborate with the product teams to assist in the refinement of AI related product requirements, and to provide early, high level advice on opportunities and possible solutions. Stay current with emerging AI trends, technologies, protocols, research breakthroughs, model development and AI software design pattern and best practices. Provide technical guidance and mentorship to the engineering teams. Collaboration and Communication Foster strong relationships with stakeholders, including business leaders, product managers. Collaborate with senior leadership to align AI initiatives with organizational goals. Communicate complex technical concepts to non technical stakeholders effectively. Promote a collaborative and innovative AI culture within the whole organisation. Work closely with project managers, data scientists, developers and IT teams to define project scope, objectives, deliverables and solutions. Partner with the FinOps team to ensure implementation of adequate monitoring and budgetary guardrails. Work closely with the procurement and legal team in the negotiations with vendors. Governance and Compliance Establish governance and define internal standards, guidelines, and best practices to ensure data privacy, security, and ethical use of AI. Ensure compliance with industry standards and international regulations. What you'll bring: Advanced degree in Computer Science, AI, or a related field. Contributions to open source AI projects or published research in AI/ML. Extensive experience in software or systems architecture, with strong focus in AI/ML domains. Proven experience designing and deploying AI solutions using frameworks such as LangChain, RAG, and vector databases or the MCP protocol. Deep understanding of LLMs, prompt engineering, model evaluation, and fine tuning strategies. Strong proficiency in ML frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (AWS, Azure, GCP). Experience with AI infrastructure components including model gateways, orchestration layers, and observability tools. Familiarity with AI governance, data privacy, international regulation and ethical AI frameworks. Excellent leadership, communication, and interpersonal skills. Strong analytical and problem solving abilities. Ability to work in a fast paced, dynamic environment. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Your office space Osterley Our Osterley Campus is a 10 minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon.
Job Title: Systems Engineer Salary: £150k-£195k + Equity Company Description: Harmonic Security Inc. - Series A cybersecurity startup defining AI data protection. Location: London, UK Job Description Join a category-defining startup building the future of AI security. As a Systems Engineer, you will own the development of low-level, security-critical endpoint agents across Windows, macOS, and Linux. Working primarily in Rust, you'll design resilient client software that enables enterprises to adopt AI tools safely while protecting sensitive data in real-time. Why this role is remarkable Shape a new category of cybersecurity at a Series A startup backed by $25M from elite investors like Next47, Ten Eleven Ventures, and In Q Tel. Work at the OS level on high impact software that runs on millions of devices, requiring extreme performance, reliability, and sub 500ms inference speeds. Join an AI first engineering culture led by seasoned founders who previously scaled Digital Shadows, offering significant equity and high technical ownership. What you will do Design and optimize cross-platform security agent components in Rust to enforce data policy and collect system signals on-device. Conduct deep technical research into OS subsystems to implement cutting edge product features and solve platform specific challenges with precision. Build robust CI/CD pipelines and validation tooling to ensure stable, reproducible native application releases for global enterprise customers. The ideal candidate Extensive professional experience in Rust or C++ systems programming, focusing on memory safety, concurrency, IPC, and platform-specific APIs. Proven track record of shipping production grade security software such as EDR, XDR, or DLP agents across Windows, Linux, and macOS platforms. Disciplined engineering mindset with a passion for automated testing, observability, and using AI tools to accelerate the software development lifecycle.
23/06/2026
Full time
Job Title: Systems Engineer Salary: £150k-£195k + Equity Company Description: Harmonic Security Inc. - Series A cybersecurity startup defining AI data protection. Location: London, UK Job Description Join a category-defining startup building the future of AI security. As a Systems Engineer, you will own the development of low-level, security-critical endpoint agents across Windows, macOS, and Linux. Working primarily in Rust, you'll design resilient client software that enables enterprises to adopt AI tools safely while protecting sensitive data in real-time. Why this role is remarkable Shape a new category of cybersecurity at a Series A startup backed by $25M from elite investors like Next47, Ten Eleven Ventures, and In Q Tel. Work at the OS level on high impact software that runs on millions of devices, requiring extreme performance, reliability, and sub 500ms inference speeds. Join an AI first engineering culture led by seasoned founders who previously scaled Digital Shadows, offering significant equity and high technical ownership. What you will do Design and optimize cross-platform security agent components in Rust to enforce data policy and collect system signals on-device. Conduct deep technical research into OS subsystems to implement cutting edge product features and solve platform specific challenges with precision. Build robust CI/CD pipelines and validation tooling to ensure stable, reproducible native application releases for global enterprise customers. The ideal candidate Extensive professional experience in Rust or C++ systems programming, focusing on memory safety, concurrency, IPC, and platform-specific APIs. Proven track record of shipping production grade security software such as EDR, XDR, or DLP agents across Windows, Linux, and macOS platforms. Disciplined engineering mindset with a passion for automated testing, observability, and using AI tools to accelerate the software development lifecycle.
Job Title: Head of Cyber Security Delivery Job Family: Head of Cyber Security Job Group: Solutions Job Band: B Days: Monday to Friday Hours: 40 hours per week Typically reports to Chief Information Security Officer Classification: Confidential Role Purpose The Head of Cyber Delivery is accountable for defining, mobilising and executing the Cyber Security change portfolio in alignment with the organisation's cyber strategy. Operating within the Cyber Security Leadership Team and reporting directly to the CISO, the role ensures that strategic cyber objectives are translated into structured, governed and measurable programmes of delivery across a complex, highly regulated Critical National Infrastructure (CNI) environment. This position operates at the intersection of Cyber Security, Enterprise IT, Operational Technology (OT), and Business Leadership, ensuring that cyber initiatives are aligned with enterprise risk appetite, regulatory obligations, and operational resilience priorities. Specific Responsibilities Translate the enterprise Cyber Security Strategy into an executable, prioritised and governed delivery roadmap. Lead and mature cyber programme and project delivery disciplines across the Cyber function. Ensure compliance with UK regulatory frameworks applicable to aviation and Critical National Infrastructure. Strengthen Heathrow's cyber resilience posture in the context of evolving threat landscapes. Ensure cyber investment delivers measurable risk reduction and operational value aligned to business objectives. Programme & Project Delivery Lead a team of Cyber Project Managers responsible for delivering a portfolio of security transformation initiatives. Oversee large-scale change programmes spanning IT, OT and airport operational environments. Ensure delivery methodologies are appropriate for a regulated CNI context (e.g., hybrid agile/waterfall, structured assurance checkpoints). Manage interdependencies across technology, operational and regulatory workstreams. Ensure delivery outcomes are measurable in terms of risk reduction, control maturity and compliance uplift. Regulatory & Compliance Alignment UK aviation security frameworks CNI requirements Data protection legislation Relevant standards such as National Cyber Security Centre guidance and ISO/IEC 27001 Stakeholder & Relationship Management Cyber Security leadership CIO and senior IT leadership Operational airport leadership External partners and suppliers Regulatory authorities Capability & Team Leadership Develop and mature the Cyber Delivery function, embedding best practice programme and portfolio management disciplines. Provide functional oversight to technical teams delivering cyber capabilities. Establish a performance culture focused on accountability, transparency and continuous improvement. Mentor and develop Cyber Project Managers and delivery leads. Financial & Commercial Oversight Own cyber delivery budget tracking, forecasting and benefits realisation management. Oversee supplier performance and contract delivery in conjunction with Commercial and Procurement teams. Qualifications and Experience Experience (Essential): Minimum 5 years' experience in a senior cyber, technology or security delivery leadership role. Demonstrable experience leading large-scale transformation programmes in complex, highly regulated environments. Experience operating within Critical National Infrastructure sectors (e.g., aviation, transport, utilities, defence). Proven track record of delivering cyber security capabilities at enterprise scale. Experience engaging directly with executive stakeholders and regulators. Exposure to aviation sector environments and understanding of airport operational systems. Essential Skills: Strong portfolio and programme governance expertise (e.g., MSP, PRINCE2, SAFe or equivalent frameworks). Deep understanding of cyber risk management, threat landscapes and control frameworks. Ability to align cyber investment to quantified risk reduction and business outcomes. Executive-level communication and reporting capability. Advanced stakeholder management and influencing skills. Financial acumen including budget management and benefits realisation. Strong leadership capability across matrix and federated structures. Desirable Skills: Experience integrating IT and Operational Technology (OT) security programmes. Knowledge of aviation-specific regulatory environments. Familiarity with NIS Regulations and UK CNI oversight structures. Experience in crisis management or cyber incident recovery programmes. Exposure to cloud security transformation and identity modernisation initiatives. Education & Professional Certifications: Bachelor's degree in Cyber Security, Information Security, Computer Science, Engineering or related discipline (or equivalent professional experience). Relevant certifications such as CISSP, CISM, CRISC, MSP / PRINCE2 Practitioner, PgMP or equivalent senior programme qualification (desirable). Personal Attributes Strategic thinker with strong execution discipline. Credible and authoritative leader within technical and business environments. High integrity and resilience under pressure. Collaborative, transparent and outcome-driven. Comfortable operating in a highly visible, mission critical national infrastructure setting.
23/06/2026
Full time
Job Title: Head of Cyber Security Delivery Job Family: Head of Cyber Security Job Group: Solutions Job Band: B Days: Monday to Friday Hours: 40 hours per week Typically reports to Chief Information Security Officer Classification: Confidential Role Purpose The Head of Cyber Delivery is accountable for defining, mobilising and executing the Cyber Security change portfolio in alignment with the organisation's cyber strategy. Operating within the Cyber Security Leadership Team and reporting directly to the CISO, the role ensures that strategic cyber objectives are translated into structured, governed and measurable programmes of delivery across a complex, highly regulated Critical National Infrastructure (CNI) environment. This position operates at the intersection of Cyber Security, Enterprise IT, Operational Technology (OT), and Business Leadership, ensuring that cyber initiatives are aligned with enterprise risk appetite, regulatory obligations, and operational resilience priorities. Specific Responsibilities Translate the enterprise Cyber Security Strategy into an executable, prioritised and governed delivery roadmap. Lead and mature cyber programme and project delivery disciplines across the Cyber function. Ensure compliance with UK regulatory frameworks applicable to aviation and Critical National Infrastructure. Strengthen Heathrow's cyber resilience posture in the context of evolving threat landscapes. Ensure cyber investment delivers measurable risk reduction and operational value aligned to business objectives. Programme & Project Delivery Lead a team of Cyber Project Managers responsible for delivering a portfolio of security transformation initiatives. Oversee large-scale change programmes spanning IT, OT and airport operational environments. Ensure delivery methodologies are appropriate for a regulated CNI context (e.g., hybrid agile/waterfall, structured assurance checkpoints). Manage interdependencies across technology, operational and regulatory workstreams. Ensure delivery outcomes are measurable in terms of risk reduction, control maturity and compliance uplift. Regulatory & Compliance Alignment UK aviation security frameworks CNI requirements Data protection legislation Relevant standards such as National Cyber Security Centre guidance and ISO/IEC 27001 Stakeholder & Relationship Management Cyber Security leadership CIO and senior IT leadership Operational airport leadership External partners and suppliers Regulatory authorities Capability & Team Leadership Develop and mature the Cyber Delivery function, embedding best practice programme and portfolio management disciplines. Provide functional oversight to technical teams delivering cyber capabilities. Establish a performance culture focused on accountability, transparency and continuous improvement. Mentor and develop Cyber Project Managers and delivery leads. Financial & Commercial Oversight Own cyber delivery budget tracking, forecasting and benefits realisation management. Oversee supplier performance and contract delivery in conjunction with Commercial and Procurement teams. Qualifications and Experience Experience (Essential): Minimum 5 years' experience in a senior cyber, technology or security delivery leadership role. Demonstrable experience leading large-scale transformation programmes in complex, highly regulated environments. Experience operating within Critical National Infrastructure sectors (e.g., aviation, transport, utilities, defence). Proven track record of delivering cyber security capabilities at enterprise scale. Experience engaging directly with executive stakeholders and regulators. Exposure to aviation sector environments and understanding of airport operational systems. Essential Skills: Strong portfolio and programme governance expertise (e.g., MSP, PRINCE2, SAFe or equivalent frameworks). Deep understanding of cyber risk management, threat landscapes and control frameworks. Ability to align cyber investment to quantified risk reduction and business outcomes. Executive-level communication and reporting capability. Advanced stakeholder management and influencing skills. Financial acumen including budget management and benefits realisation. Strong leadership capability across matrix and federated structures. Desirable Skills: Experience integrating IT and Operational Technology (OT) security programmes. Knowledge of aviation-specific regulatory environments. Familiarity with NIS Regulations and UK CNI oversight structures. Experience in crisis management or cyber incident recovery programmes. Exposure to cloud security transformation and identity modernisation initiatives. Education & Professional Certifications: Bachelor's degree in Cyber Security, Information Security, Computer Science, Engineering or related discipline (or equivalent professional experience). Relevant certifications such as CISSP, CISM, CRISC, MSP / PRINCE2 Practitioner, PgMP or equivalent senior programme qualification (desirable). Personal Attributes Strategic thinker with strong execution discipline. Credible and authoritative leader within technical and business environments. High integrity and resilience under pressure. Collaborative, transparent and outcome-driven. Comfortable operating in a highly visible, mission critical national infrastructure setting.
SeniorSoftwareEngineer/RubyOnRails/React/TypeScript Location:Wallingford-Oxfordshire(Hybrid)-onsiteonceevery4-6weeks Permanent AtDexory,wearetransformingthewarehousingandlogisticsindustrythroughdataintelligence. AsanIntegrationEngineer,youwillplayakeypartinbuildingandmaintainingtheintegrationsthatconnectcustomerWMSsystemstoourdatainsightsplatform. Working closely with the engineering and integration support teams along with communicating externally with customers, developing custom parsers, API integrations, and data transformation logic to enable our robots to understand each customer's unique warehouse management system. Scalingenvironment,endtoendownershipandimpactfulworkfromdayone. Working with hardware devices means we have an interesting and varied tech stack, but for web applications this is primarily Ruby on Rails for backend applications. Duetooursetup,wecanonlyconsiderpeoplelivingintheUKcurrentlyand wecannotprovidesponsorship. Pleaseapplyformoreinformation. Responsibilities/Skills Developing and maintaining data parsers (both Ruby code and our dynamic, UI defined parser system) to extract and transform warehouse records from various formats (CSV, JSON, XML, Excel); BuildingcustomAPIintegrationstoretrievereal-timedatafromcustomerwarehousemanagementsystems; Implementingdatatransformationlogictohandlecustomer-specificrequirements,edgecases,andformatvariations; Writing comprehensive automated tests (RSpec) to ensure parsing accuracy and dataintegrity Debugging and resolving customer-specific data issues through code fixes and parser improvements
23/06/2026
Full time
SeniorSoftwareEngineer/RubyOnRails/React/TypeScript Location:Wallingford-Oxfordshire(Hybrid)-onsiteonceevery4-6weeks Permanent AtDexory,wearetransformingthewarehousingandlogisticsindustrythroughdataintelligence. AsanIntegrationEngineer,youwillplayakeypartinbuildingandmaintainingtheintegrationsthatconnectcustomerWMSsystemstoourdatainsightsplatform. Working closely with the engineering and integration support teams along with communicating externally with customers, developing custom parsers, API integrations, and data transformation logic to enable our robots to understand each customer's unique warehouse management system. Scalingenvironment,endtoendownershipandimpactfulworkfromdayone. Working with hardware devices means we have an interesting and varied tech stack, but for web applications this is primarily Ruby on Rails for backend applications. Duetooursetup,wecanonlyconsiderpeoplelivingintheUKcurrentlyand wecannotprovidesponsorship. Pleaseapplyformoreinformation. Responsibilities/Skills Developing and maintaining data parsers (both Ruby code and our dynamic, UI defined parser system) to extract and transform warehouse records from various formats (CSV, JSON, XML, Excel); BuildingcustomAPIintegrationstoretrievereal-timedatafromcustomerwarehousemanagementsystems; Implementingdatatransformationlogictohandlecustomer-specificrequirements,edgecases,andformatvariations; Writing comprehensive automated tests (RSpec) to ensure parsing accuracy and dataintegrity Debugging and resolving customer-specific data issues through code fixes and parser improvements
Join Our Team as a Team Architect (Machine Learning Focus) at Beyond Sports Are you excited about machine learning, technical architecture, and building the intelligent systems powering the future of sports entertainment? At Beyond Sports, we don't just visualize sports - we reinvent how fans experience them. Together with partners like NFL, NHL, FIFA, and Disney, we push the boundaries of real time sports data, 3D graphics, and AI driven storytelling. If you're passionate about machine learning architecture, scalable technical solutions, and guiding engineering teams through complex technical challenges, this could be your next move. What Your Day Will Look Like As a Team Architect (Machine Learning Focus), you'll act as the specialist technical authority within your discipline - helping shape the architecture, technical direction, and implementation strategy behind our ML driven products and platforms. You'll work closely with Machine Learning Engineers, Tech Leads, Product teams, and other Team Architects to design intelligent systems that transform live sports data into immersive digital experiences. Your role combines strategic thinking with hands on technical leadership. One day you might be evaluating approaches for scalable inference pipelines or motion synthesis systems. The next, you could be building Proof of Concepts, reviewing model deployment strategies, or helping squads solve complex architecture and integration challenges. You'll guide technical implementation across areas such as trajectory prediction, motion synthesis, real time data processing, 2D to 3D geometry pipelines, and cloud hosted ML services. You'll also ensure solutions are scalable, reusable, maintainable, and aligned with wider engineering standards across the business. What We Value You'll fit right in if you: Love applied machine learning and technical architecture You enjoy designing scalable systems and turning complex technical ideas into practical solutions. Think in systems and implementation strategy You naturally balance innovation, scalability, maintainability, and delivery requirements. Stay hands on technically You enjoy prototyping, validating ideas through code, and supporting engineers with difficult technical challenges. Collaborate naturally You can communicate technical approaches clearly across disciplines and with non technical stakeholders. Care about quality and reusability You value maintainable systems, reusable tooling, and strong engineering standards. Stay curious You actively follow developments in machine learning, cloud infrastructure, and modern engineering practices. Your Background Strong experience in machine learning engineering, software architecture, or technical leadership Deep expertise in a relevant technical domain such as ML systems, data pipelines, backend engineering, or cloud infrastructure Hands on experience with PyTorch, TensorFlow, or similar ML frameworks Strong understanding of scalable APIs, cloud native systems, and modern engineering practices Experience creating Proof of Concepts and evaluating technical approaches Ability to communicate technical solutions clearly to technical and non technical audiences Experience collaborating across multidisciplinary engineering teams Willingness to work on site in our Alkmaar office Nice to Have (But Not Required) Experience deploying ML models into production environments Familiarity with MLOps tooling such as MLflow, CI/CD workflows, and model monitoring Experience with AWS, Azure, or GCP Understanding of real time systems, motion synthesis, or 3D graphics pipelines Experience with Unity or other game engines Interest in football or team sports Why Level Up Your Career at Beyond Sports Fast moving, creative, and technically ambitious - that's our world. High impact: Your work helps shape how millions experience sports globally Technical ownership: Influence implementation strategy, architecture, and engineering standards Hands on innovation: Build POCs and help define the future of our ML systems Constant learning: From machine learning research to real time 3D systems, there's always something new Real collaboration: Engineers, artists, ML specialists, and product teams working side by side And we make sure it's a great place to work: 25 days of paid leave per year Pension program Lunch included Gym card - Alkmaar Only Fresh fruit, great coffee, and Friday drinks Bi monthly team outings Office games like FIFA, chess, and ping pong Sony Benefits and much more! Ready to Build the Future of Sports? If you're excited about shaping machine learning architecture, solving complex technical challenges, and building systems that transform how fans experience sports - we'd love to hear from you. At Beyond Sports, you won't just design technical solutions. You'll help bring sports to life.
23/06/2026
Full time
Join Our Team as a Team Architect (Machine Learning Focus) at Beyond Sports Are you excited about machine learning, technical architecture, and building the intelligent systems powering the future of sports entertainment? At Beyond Sports, we don't just visualize sports - we reinvent how fans experience them. Together with partners like NFL, NHL, FIFA, and Disney, we push the boundaries of real time sports data, 3D graphics, and AI driven storytelling. If you're passionate about machine learning architecture, scalable technical solutions, and guiding engineering teams through complex technical challenges, this could be your next move. What Your Day Will Look Like As a Team Architect (Machine Learning Focus), you'll act as the specialist technical authority within your discipline - helping shape the architecture, technical direction, and implementation strategy behind our ML driven products and platforms. You'll work closely with Machine Learning Engineers, Tech Leads, Product teams, and other Team Architects to design intelligent systems that transform live sports data into immersive digital experiences. Your role combines strategic thinking with hands on technical leadership. One day you might be evaluating approaches for scalable inference pipelines or motion synthesis systems. The next, you could be building Proof of Concepts, reviewing model deployment strategies, or helping squads solve complex architecture and integration challenges. You'll guide technical implementation across areas such as trajectory prediction, motion synthesis, real time data processing, 2D to 3D geometry pipelines, and cloud hosted ML services. You'll also ensure solutions are scalable, reusable, maintainable, and aligned with wider engineering standards across the business. What We Value You'll fit right in if you: Love applied machine learning and technical architecture You enjoy designing scalable systems and turning complex technical ideas into practical solutions. Think in systems and implementation strategy You naturally balance innovation, scalability, maintainability, and delivery requirements. Stay hands on technically You enjoy prototyping, validating ideas through code, and supporting engineers with difficult technical challenges. Collaborate naturally You can communicate technical approaches clearly across disciplines and with non technical stakeholders. Care about quality and reusability You value maintainable systems, reusable tooling, and strong engineering standards. Stay curious You actively follow developments in machine learning, cloud infrastructure, and modern engineering practices. Your Background Strong experience in machine learning engineering, software architecture, or technical leadership Deep expertise in a relevant technical domain such as ML systems, data pipelines, backend engineering, or cloud infrastructure Hands on experience with PyTorch, TensorFlow, or similar ML frameworks Strong understanding of scalable APIs, cloud native systems, and modern engineering practices Experience creating Proof of Concepts and evaluating technical approaches Ability to communicate technical solutions clearly to technical and non technical audiences Experience collaborating across multidisciplinary engineering teams Willingness to work on site in our Alkmaar office Nice to Have (But Not Required) Experience deploying ML models into production environments Familiarity with MLOps tooling such as MLflow, CI/CD workflows, and model monitoring Experience with AWS, Azure, or GCP Understanding of real time systems, motion synthesis, or 3D graphics pipelines Experience with Unity or other game engines Interest in football or team sports Why Level Up Your Career at Beyond Sports Fast moving, creative, and technically ambitious - that's our world. High impact: Your work helps shape how millions experience sports globally Technical ownership: Influence implementation strategy, architecture, and engineering standards Hands on innovation: Build POCs and help define the future of our ML systems Constant learning: From machine learning research to real time 3D systems, there's always something new Real collaboration: Engineers, artists, ML specialists, and product teams working side by side And we make sure it's a great place to work: 25 days of paid leave per year Pension program Lunch included Gym card - Alkmaar Only Fresh fruit, great coffee, and Friday drinks Bi monthly team outings Office games like FIFA, chess, and ping pong Sony Benefits and much more! Ready to Build the Future of Sports? If you're excited about shaping machine learning architecture, solving complex technical challenges, and building systems that transform how fans experience sports - we'd love to hear from you. At Beyond Sports, you won't just design technical solutions. You'll help bring sports to life.
We are looking for a Principal Architect to lead our technology strategy in AI (Artificial Intelligence), Generative AI, IA (Intelligent Automation) and agentic solution development. As a vital force driving the strategic and technical evolution of the Global Streaming Platform, this role empowers the organisation to harness ground breaking advancements in AI, including Large Language Models (LLMs), agent workflows, and machine learning infrastructures. By seamlessly integrating these cutting edge technologies into secure, scalable, and high performance enterprise solutions, the Principal Architect will enable transformative growth and ensure the company maintains its position as a world class leader. This role requires deep knowledge in AI and IA technologies, strong architectural skills, and a strategic approach to recommend tailored platform transformations and deliver advanced AI solutions to maintain the business at its world class position. What you'll do: Architectural Leadership Oversee the comprehensive architecture strategy for developing and deploying AI applications and solutions, considering data management, cybersecurity, legal aspects, appropriate platform and infrastructure adaptation and third party vendor selection and integration. Recommend the tailored level of transformation required within the current platform to adapt and exploit at scale the adoption of AI based technologies guaranteeing cost efficiency, reliability, performance and security. Design and maintain an AI extension to the platform as an integrated technology stack, independent of any specific vendors but capable of integrating with major AI models and third party commodities, for porting self serving AI in house developed solutions. Contribute to the AI roadmap and identify AI driven efficiency, innovation or automation opportunities maintaining alignment with business goals, regulatory or compliance requirements and ethical principles. Solution Design Partner with product and engineering teams to translate business requirements into scalable AI solutions. Lead the evaluation, selection, and integration of AI platforms and models, tools, and technologies. Ensure optimized integration of AI solutions with existing systems and data sources. Technical Expertise Collaborate with the product teams to assist in the refinement of AI related product requirements, and to provide early, high level advice on opportunities and possible solutions. Stay current with emerging AI trends, technologies, protocols, research breakthroughs, model development and AI software design pattern and best practices. Provide technical guidance and mentorship to the engineering teams. Collaboration and Communication Foster strong relationships with stakeholders, including business leaders, product managers. Collaborate with senior leadership to align AI initiatives with organizational goals. Communicate complex technical concepts to non technical stakeholders effectively. Promote a collaborative and innovative AI culture within the whole organisation. Work closely with project managers, data scientists, developers and IT teams to define project scope, objectives, deliverables and solutions. Partner with the FinOps team to ensure implementation of adequate monitoring and budgetary guardrails. Work closely with the procurement and legal team in the negotiations with vendors. Governance and Compliance Establish governance and define internal standards, guidelines, and best practices to ensure data privacy, security, and ethical use of AI. Ensure compliance with industry standards and international regulations. What you'll bring: Advanced degree in Computer Science, AI, or a related field. Contributions to open source AI projects or published research in AI/ML. Extensive experience in software or systems architecture, with strong focus in AI/ML domains. Proven experience designing and deploying AI solutions using frameworks such as LangChain, RAG, and vector databases or the MCP protocol. Deep understanding of LLMs, prompt engineering, model evaluation, and fine tuning strategies. Strong proficiency in ML frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (AWS, Azure, GCP). Experience with AI infrastructure components including model gateways, orchestration layers, and observability tools. Familiarity with AI governance, data privacy, international regulation and ethical AI frameworks. Excellent leadership, communication, and interpersonal skills. Strong analytical and problem solving abilities. Ability to work in a fast paced, dynamic environment. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Your office space Osterley Our Osterley Campus is a 10 minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon.
23/06/2026
Full time
We are looking for a Principal Architect to lead our technology strategy in AI (Artificial Intelligence), Generative AI, IA (Intelligent Automation) and agentic solution development. As a vital force driving the strategic and technical evolution of the Global Streaming Platform, this role empowers the organisation to harness ground breaking advancements in AI, including Large Language Models (LLMs), agent workflows, and machine learning infrastructures. By seamlessly integrating these cutting edge technologies into secure, scalable, and high performance enterprise solutions, the Principal Architect will enable transformative growth and ensure the company maintains its position as a world class leader. This role requires deep knowledge in AI and IA technologies, strong architectural skills, and a strategic approach to recommend tailored platform transformations and deliver advanced AI solutions to maintain the business at its world class position. What you'll do: Architectural Leadership Oversee the comprehensive architecture strategy for developing and deploying AI applications and solutions, considering data management, cybersecurity, legal aspects, appropriate platform and infrastructure adaptation and third party vendor selection and integration. Recommend the tailored level of transformation required within the current platform to adapt and exploit at scale the adoption of AI based technologies guaranteeing cost efficiency, reliability, performance and security. Design and maintain an AI extension to the platform as an integrated technology stack, independent of any specific vendors but capable of integrating with major AI models and third party commodities, for porting self serving AI in house developed solutions. Contribute to the AI roadmap and identify AI driven efficiency, innovation or automation opportunities maintaining alignment with business goals, regulatory or compliance requirements and ethical principles. Solution Design Partner with product and engineering teams to translate business requirements into scalable AI solutions. Lead the evaluation, selection, and integration of AI platforms and models, tools, and technologies. Ensure optimized integration of AI solutions with existing systems and data sources. Technical Expertise Collaborate with the product teams to assist in the refinement of AI related product requirements, and to provide early, high level advice on opportunities and possible solutions. Stay current with emerging AI trends, technologies, protocols, research breakthroughs, model development and AI software design pattern and best practices. Provide technical guidance and mentorship to the engineering teams. Collaboration and Communication Foster strong relationships with stakeholders, including business leaders, product managers. Collaborate with senior leadership to align AI initiatives with organizational goals. Communicate complex technical concepts to non technical stakeholders effectively. Promote a collaborative and innovative AI culture within the whole organisation. Work closely with project managers, data scientists, developers and IT teams to define project scope, objectives, deliverables and solutions. Partner with the FinOps team to ensure implementation of adequate monitoring and budgetary guardrails. Work closely with the procurement and legal team in the negotiations with vendors. Governance and Compliance Establish governance and define internal standards, guidelines, and best practices to ensure data privacy, security, and ethical use of AI. Ensure compliance with industry standards and international regulations. What you'll bring: Advanced degree in Computer Science, AI, or a related field. Contributions to open source AI projects or published research in AI/ML. Extensive experience in software or systems architecture, with strong focus in AI/ML domains. Proven experience designing and deploying AI solutions using frameworks such as LangChain, RAG, and vector databases or the MCP protocol. Deep understanding of LLMs, prompt engineering, model evaluation, and fine tuning strategies. Strong proficiency in ML frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (AWS, Azure, GCP). Experience with AI infrastructure components including model gateways, orchestration layers, and observability tools. Familiarity with AI governance, data privacy, international regulation and ethical AI frameworks. Excellent leadership, communication, and interpersonal skills. Strong analytical and problem solving abilities. Ability to work in a fast paced, dynamic environment. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Your office space Osterley Our Osterley Campus is a 10 minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon.
Privacy Information We and our partners are using tracking technologies to process personal data in order to improve your experience. You may always exercise your consumer right to opt-out. For detailed information about personal information we collect and third parties having access to it, please select 'More Information' or refer to our privacy policy.Snyk is the leader in secure AI software development, helping millions of developers develop fast and stay secure as AI transforms how software is built. Our AI-native Developer Security Platform integrates seamlessly into development and security workflows, making it easy to find, fix, and prevent vulnerabilities - from code and dependencies to containers and cloud.Our mission is to empower every developer to innovate securely in the AI era - boosting productivity while reducing business risk. We're not your average security company - we build Snyk on One Team, Care Deeply, Customer Centric, and Forward Thinking.It's how we stay driven, supportive, and always one step ahead as AI reshapes our world.Snyk's Incubation Accelerator is seeking a Staff Incubation Engineer to join our innovative team, building transformative products from the ground up. This is a unique opportunity to operate with the agility of a startup, while leveraging Snyk's extensive infrastructure, customer reach, and industry insights.As a Staff Incubation Engineer, you will be at the forefront of technical innovation, tackling complex engineering challenges to develop a new product. This role demands full-stack development expertise, a strong grasp of system architecture for AI applications, and end-to-end ownership of the product lifecycle-from rapid prototyping to large-scale deployment. You will operate in a lean, agile environment, iterating rapidly on solutions to achieve product-market fit. What You'll Do: Full-Stack Product Development: Design, develop, and implement scalable, high-performance software solutions from scratch, covering both frontend and backend components. System Architecture & Design: Architect flexible, scalable, and secure systems, ensuring robust, maintainable, and high-quality codebases. Rapid Prototyping & Iteration: Build rapid prototypes to validate ideas, iterate on feedback, and pivot quickly to achieve the best product-market fit. AI Agent Development: Design, develop, and deploy intelligent AI agents and autonomous systems, focusing on their integration into new product offerings. Performance Optimization: Analyze and optimize system performance, ensuring high availability, low latency, and efficient resource utilization. Cloud-Native Deployment: Design and deploy cloud-native applications leveraging modern infrastructure, including containerization and microservices architecture. Agile Development & CI/CD: Operate within a lean, agile environment, utilizing continuous integration and delivery pipelines to accelerate development cycles. Cross-Functional Collaboration: Collaborate with product managers, designers, and other engineering teams to ensure cohesive product development and alignment with business goals. Technical Leadership & Mentorship: Foster a culture of high ownership, creativity, and technical excellence. What You Bring: Deep experience in AI/ML systems, experience deploying intelligent agents using agentic or multi-agent architectures, with foresight for future needs and strategic alignment. Strong proficiency in modern programming languages (e.g., Python, Golang, NodeJS) and frameworks, applying them to innovative products. Experience with agile and CI/CD, with autonomy to streamline processes for efficient delivery in a fast-paced environment. It'd Be Awesome If You Also Are genuinely excited by the prospect of working on early-stage products, engaging directly with customers to rapidly identify, prioritize, and iteratively solve problems to build truly beloved solutions. Thrive in the face of complex, ambiguous technical challenges, consistently finding innovative solutions where others might see roadblocks, and embracing the iterative nature of startup development. We care deeply about the warm, inclusive environment we've created and we value diversity - we welcome applications from those typically underrepresented in tech. If you like the sound of this role but are not totally sure whether you're the right person, do apply anyway! About Snyk Snyk is committed to creating an inclusive and engaging environment where our employees can thrive as we rally behind our common mission to make the digital world a safer place. From Snyk employee resource groups, to global benefits that help our employees prioritize their health, wellness, financial security, and a work/life blend, we aim to support our employees along their entire journeys here at Snyk. Benefits & Programs Prioritize health, wellness, financial security, and life balance with programs tailored to your location and role. Flexible working hours, work-from home allowances, in-office perks, and time off for learning and self development Generous vacation and wellness time off, country-specific holidays, and 100% paid parental leave for all caregivers Health benefits, employee assistance plans, and annual wellness allowance Country-specific life insurance, disability benefits, and retirement/pension programs, plus mobile phone and education allowances
23/06/2026
Full time
Privacy Information We and our partners are using tracking technologies to process personal data in order to improve your experience. You may always exercise your consumer right to opt-out. For detailed information about personal information we collect and third parties having access to it, please select 'More Information' or refer to our privacy policy.Snyk is the leader in secure AI software development, helping millions of developers develop fast and stay secure as AI transforms how software is built. Our AI-native Developer Security Platform integrates seamlessly into development and security workflows, making it easy to find, fix, and prevent vulnerabilities - from code and dependencies to containers and cloud.Our mission is to empower every developer to innovate securely in the AI era - boosting productivity while reducing business risk. We're not your average security company - we build Snyk on One Team, Care Deeply, Customer Centric, and Forward Thinking.It's how we stay driven, supportive, and always one step ahead as AI reshapes our world.Snyk's Incubation Accelerator is seeking a Staff Incubation Engineer to join our innovative team, building transformative products from the ground up. This is a unique opportunity to operate with the agility of a startup, while leveraging Snyk's extensive infrastructure, customer reach, and industry insights.As a Staff Incubation Engineer, you will be at the forefront of technical innovation, tackling complex engineering challenges to develop a new product. This role demands full-stack development expertise, a strong grasp of system architecture for AI applications, and end-to-end ownership of the product lifecycle-from rapid prototyping to large-scale deployment. You will operate in a lean, agile environment, iterating rapidly on solutions to achieve product-market fit. What You'll Do: Full-Stack Product Development: Design, develop, and implement scalable, high-performance software solutions from scratch, covering both frontend and backend components. System Architecture & Design: Architect flexible, scalable, and secure systems, ensuring robust, maintainable, and high-quality codebases. Rapid Prototyping & Iteration: Build rapid prototypes to validate ideas, iterate on feedback, and pivot quickly to achieve the best product-market fit. AI Agent Development: Design, develop, and deploy intelligent AI agents and autonomous systems, focusing on their integration into new product offerings. Performance Optimization: Analyze and optimize system performance, ensuring high availability, low latency, and efficient resource utilization. Cloud-Native Deployment: Design and deploy cloud-native applications leveraging modern infrastructure, including containerization and microservices architecture. Agile Development & CI/CD: Operate within a lean, agile environment, utilizing continuous integration and delivery pipelines to accelerate development cycles. Cross-Functional Collaboration: Collaborate with product managers, designers, and other engineering teams to ensure cohesive product development and alignment with business goals. Technical Leadership & Mentorship: Foster a culture of high ownership, creativity, and technical excellence. What You Bring: Deep experience in AI/ML systems, experience deploying intelligent agents using agentic or multi-agent architectures, with foresight for future needs and strategic alignment. Strong proficiency in modern programming languages (e.g., Python, Golang, NodeJS) and frameworks, applying them to innovative products. Experience with agile and CI/CD, with autonomy to streamline processes for efficient delivery in a fast-paced environment. It'd Be Awesome If You Also Are genuinely excited by the prospect of working on early-stage products, engaging directly with customers to rapidly identify, prioritize, and iteratively solve problems to build truly beloved solutions. Thrive in the face of complex, ambiguous technical challenges, consistently finding innovative solutions where others might see roadblocks, and embracing the iterative nature of startup development. We care deeply about the warm, inclusive environment we've created and we value diversity - we welcome applications from those typically underrepresented in tech. If you like the sound of this role but are not totally sure whether you're the right person, do apply anyway! About Snyk Snyk is committed to creating an inclusive and engaging environment where our employees can thrive as we rally behind our common mission to make the digital world a safer place. From Snyk employee resource groups, to global benefits that help our employees prioritize their health, wellness, financial security, and a work/life blend, we aim to support our employees along their entire journeys here at Snyk. Benefits & Programs Prioritize health, wellness, financial security, and life balance with programs tailored to your location and role. Flexible working hours, work-from home allowances, in-office perks, and time off for learning and self development Generous vacation and wellness time off, country-specific holidays, and 100% paid parental leave for all caregivers Health benefits, employee assistance plans, and annual wellness allowance Country-specific life insurance, disability benefits, and retirement/pension programs, plus mobile phone and education allowances
Role: Senior Business Analyst (Cyber Resilience & Operational Transformation) Sector: Utilities / Critical National Infrastructure (CNI) Location: UK (Hybrid) Purpose of the Role Lead the business analysis, requirement elicitation, and governance frameworks for critical cyber resilience and operational transformation initiatives. This position bridges corporate technology and site-based industrial systems to translate complex cyber security, data protection, and business continuity expectations into executable, delivery-ready technical specifications. Key Responsibilities Cyber Security & Regulatory Alignment: Drive Cyber Assessment Framework (CAF) aligned activities, executing control mapping, evidence collation, gap analysis, and compilation of robust regulatory Evidence Packs (EP) to satisfy NIS compliance. Resilience & Disaster Recovery (DR): Elicit and define comprehensive end-to-end Business Continuity and Disaster Recovery (BCDR) requirements, focusing on ransomware resilience, data recovery governance, and secure operational restoration. IT/OT Integration Assurance: Collaborate with cross-functional architecture and engineering teams to govern system onboarding (e.g., SIEM/SOC infrastructure monitoring) across both corporate enterprise and industrial Operational Technology (OT/SCADA) environments. Requirements Governance: Create procurement-grade business analysis artifacts, including functional/non-functional specifications, process maps (BPMN), and strict Requirements Traceability Matrices (RTM). Requirements Extensive experience operating as a Senior, Lead, or Principal Business Analyst within a utility, regulated energy network, or CNI environment. Deep domain fluency in cybersecurity, industrial data protection frameworks, and complex disaster recovery structures. Proven exposure mapping technical systems to regulatory frameworks (such as NIS regulations or NCSC guidelines). Randstad Technologies is acting as an Employment Business in relation to this vacancy.
23/06/2026
Contractor
Role: Senior Business Analyst (Cyber Resilience & Operational Transformation) Sector: Utilities / Critical National Infrastructure (CNI) Location: UK (Hybrid) Purpose of the Role Lead the business analysis, requirement elicitation, and governance frameworks for critical cyber resilience and operational transformation initiatives. This position bridges corporate technology and site-based industrial systems to translate complex cyber security, data protection, and business continuity expectations into executable, delivery-ready technical specifications. Key Responsibilities Cyber Security & Regulatory Alignment: Drive Cyber Assessment Framework (CAF) aligned activities, executing control mapping, evidence collation, gap analysis, and compilation of robust regulatory Evidence Packs (EP) to satisfy NIS compliance. Resilience & Disaster Recovery (DR): Elicit and define comprehensive end-to-end Business Continuity and Disaster Recovery (BCDR) requirements, focusing on ransomware resilience, data recovery governance, and secure operational restoration. IT/OT Integration Assurance: Collaborate with cross-functional architecture and engineering teams to govern system onboarding (e.g., SIEM/SOC infrastructure monitoring) across both corporate enterprise and industrial Operational Technology (OT/SCADA) environments. Requirements Governance: Create procurement-grade business analysis artifacts, including functional/non-functional specifications, process maps (BPMN), and strict Requirements Traceability Matrices (RTM). Requirements Extensive experience operating as a Senior, Lead, or Principal Business Analyst within a utility, regulated energy network, or CNI environment. Deep domain fluency in cybersecurity, industrial data protection frameworks, and complex disaster recovery structures. Proven exposure mapping technical systems to regulatory frameworks (such as NIS regulations or NCSC guidelines). Randstad Technologies is acting as an Employment Business in relation to this vacancy.
Important: All applicants must be able to obtain Security Clearance and must hold British Nationality as their primary nationality. Dual Nationals can be considered. Working: The role offers flexible working but does require engineers on site for 4 days per week and is a on secure site where SC clearance is needed. Join a business at the forefront of innovation, with a lot to offer! A company backed by a record multi-year order book, offering long-term stability and sustained investment, with years of secured work ahead! We're looking for an Algorithm Developer to join a highly collaborative engineering environment working on complex, real-world systems. This is a fantastic opportunity to be part of a specialist team focused on developing advanced algorithms that sit at the heart of cutting-edge technology. You'll work on challenging problems, applying mathematical modelling, data science, and modern techniques such as machine learning and AI to deliver innovative, high-performance solutions. This role offers plenty of scope to shape ideas, influence technical direction, and make a real impact. The Company: Invested in your growth - strong development, clear progression, and continuous learning. Global leader - cutting-edge defence innovation with an outstanding culture. Award-winning employer - Sunday Times Best Places to Work 2024 , Most Loved Organisation . People-first - Investors in People Gold & Wellbeing Platinum. Inclusive & supportive - 10+ employee networks and strong ED&I focus. Forces-friendly - top UK employer for veterans, Armed Forces Covenant Gold. Innovative & growing - work on advanced, international programmes. Flexible & rewarding - great benefits and flexible working. What You'll Be Doing: Designing, developing, and testing mathematical algorithms using tools such as MATLAB/Simulink and Python Interpreting technical requirements and translating them into effective algorithmic solutions Collaborating closely with multidisciplinary teams, including software engineers, to ensure seamless implementation Contributing to best practices and influencing how algorithms are developed across the wider team Applying a rigorous, quality-focused approach to problem-solving and development Essential Skills & Experience: Mathematical modelling, analysis, or problem-solving Numerical simulation or data analysis Data science, including machine learning techniques Software development (ideally Python or similar) A degree (or equivalent) in a numerate discipline such as Mathematics, Physics, Engineering, or similar Confidence working with mathematical concepts and applying them to real problems A strong attention to detail and commitment to producing high-quality work A proactive mindset with the drive to make an impact and contribute ideas Desirable Experience: Experience in the Defence / Aerospace or safety regulated environment would be advantageous. Geospatial data or geographic information systems (GIS) Even If you feel like you don't meet every requirement, we encourage you to reach out and apply.
23/06/2026
Full time
Important: All applicants must be able to obtain Security Clearance and must hold British Nationality as their primary nationality. Dual Nationals can be considered. Working: The role offers flexible working but does require engineers on site for 4 days per week and is a on secure site where SC clearance is needed. Join a business at the forefront of innovation, with a lot to offer! A company backed by a record multi-year order book, offering long-term stability and sustained investment, with years of secured work ahead! We're looking for an Algorithm Developer to join a highly collaborative engineering environment working on complex, real-world systems. This is a fantastic opportunity to be part of a specialist team focused on developing advanced algorithms that sit at the heart of cutting-edge technology. You'll work on challenging problems, applying mathematical modelling, data science, and modern techniques such as machine learning and AI to deliver innovative, high-performance solutions. This role offers plenty of scope to shape ideas, influence technical direction, and make a real impact. The Company: Invested in your growth - strong development, clear progression, and continuous learning. Global leader - cutting-edge defence innovation with an outstanding culture. Award-winning employer - Sunday Times Best Places to Work 2024 , Most Loved Organisation . People-first - Investors in People Gold & Wellbeing Platinum. Inclusive & supportive - 10+ employee networks and strong ED&I focus. Forces-friendly - top UK employer for veterans, Armed Forces Covenant Gold. Innovative & growing - work on advanced, international programmes. Flexible & rewarding - great benefits and flexible working. What You'll Be Doing: Designing, developing, and testing mathematical algorithms using tools such as MATLAB/Simulink and Python Interpreting technical requirements and translating them into effective algorithmic solutions Collaborating closely with multidisciplinary teams, including software engineers, to ensure seamless implementation Contributing to best practices and influencing how algorithms are developed across the wider team Applying a rigorous, quality-focused approach to problem-solving and development Essential Skills & Experience: Mathematical modelling, analysis, or problem-solving Numerical simulation or data analysis Data science, including machine learning techniques Software development (ideally Python or similar) A degree (or equivalent) in a numerate discipline such as Mathematics, Physics, Engineering, or similar Confidence working with mathematical concepts and applying them to real problems A strong attention to detail and commitment to producing high-quality work A proactive mindset with the drive to make an impact and contribute ideas Desirable Experience: Experience in the Defence / Aerospace or safety regulated environment would be advantageous. Geospatial data or geographic information systems (GIS) Even If you feel like you don't meet every requirement, we encourage you to reach out and apply.
Software Engineer (AI & Full Stack) - Senior Consultant Salary: £60,000 - £70,000 pa + £4,000 Bonus plus benefits, perks and healthcare options Base locations: London, Manchester, Newcastle or Glasgow Job Type: Permanent Hybrid (2 days per week) Occasional travel to client site Overview We're looking for a Software Engineer with strong Front End and Back End development skills and experience with various GenAI frameworks to join a growing team delivering innovative AI-powered solutions for enterprise clients. This is an opportunity to work at the intersection of modern software engineering and Generative AI, building intelligent applications that solve real business challenges. You'll collaborate with senior stakeholders, architects, and engineering teams to design, develop, and scale production-ready solutions using the latest AI technologies and cloud-native engineering practices. Key Skills AI & GenAI: LLMs, RAG, Agents, LangChain, LangGraph, CrewAI, Vercel AI SDK, OpenAI, Anthropic, Mistral, Llama. Full Stack Engineering: Python, TypeScript, React, APIs, Microservices, FastAPI. Cloud & DevOps: AWS/Azure, Docker, Kubernetes, Terraform, CI/CD. Data & Vector Search: PostgreSQL, MongoDB, Pinecone, Qdrant, ChromaDB, PGVector. Observability & Tooling: LangSmith, Langfuse, Git, GitHub, GitLab. Your Role Collaborate with the team to develop GenAI proof-of-concepts (POCs) for clients using technologies like Retrieval-Augmented Generation (RAG) and intelligent agents. Scale existing POCs to production-ready solutions for customer use. Design and develop Full Stack applications for both GenAI and non-GenAI projects. Support the development of infrastructure to enable robust end-to-end solutions. Grow your skills by exploring and experimenting with emerging technologies, including GenAI. Your skills and experience Backend Development: Experience in building microservices using either Python with FastAPI, or TypeScript with Express or equivalent Frontend Development: Experience in building React applications using TypeScript, leveraging frameworks such as Next.js or Vite. GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse, or similar. CI/CD: Experience with continuous integration and deployment tools such as GitLab, GitHub, or Jenkins. Vector Databases: Experience with and (but not limited to) ChromaDB, Pinecone, PGVector, MongoDB, Qdrant etc. NoSQL: Familiarity with NoSQL databases (eg, MongoDB preferred). SQL: Experience working with SQL databases like PostgreSQL. Proficient in Git and version control platforms like GitHub, GitLab, etc. To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance.
23/06/2026
Full time
Software Engineer (AI & Full Stack) - Senior Consultant Salary: £60,000 - £70,000 pa + £4,000 Bonus plus benefits, perks and healthcare options Base locations: London, Manchester, Newcastle or Glasgow Job Type: Permanent Hybrid (2 days per week) Occasional travel to client site Overview We're looking for a Software Engineer with strong Front End and Back End development skills and experience with various GenAI frameworks to join a growing team delivering innovative AI-powered solutions for enterprise clients. This is an opportunity to work at the intersection of modern software engineering and Generative AI, building intelligent applications that solve real business challenges. You'll collaborate with senior stakeholders, architects, and engineering teams to design, develop, and scale production-ready solutions using the latest AI technologies and cloud-native engineering practices. Key Skills AI & GenAI: LLMs, RAG, Agents, LangChain, LangGraph, CrewAI, Vercel AI SDK, OpenAI, Anthropic, Mistral, Llama. Full Stack Engineering: Python, TypeScript, React, APIs, Microservices, FastAPI. Cloud & DevOps: AWS/Azure, Docker, Kubernetes, Terraform, CI/CD. Data & Vector Search: PostgreSQL, MongoDB, Pinecone, Qdrant, ChromaDB, PGVector. Observability & Tooling: LangSmith, Langfuse, Git, GitHub, GitLab. Your Role Collaborate with the team to develop GenAI proof-of-concepts (POCs) for clients using technologies like Retrieval-Augmented Generation (RAG) and intelligent agents. Scale existing POCs to production-ready solutions for customer use. Design and develop Full Stack applications for both GenAI and non-GenAI projects. Support the development of infrastructure to enable robust end-to-end solutions. Grow your skills by exploring and experimenting with emerging technologies, including GenAI. Your skills and experience Backend Development: Experience in building microservices using either Python with FastAPI, or TypeScript with Express or equivalent Frontend Development: Experience in building React applications using TypeScript, leveraging frameworks such as Next.js or Vite. GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse, or similar. CI/CD: Experience with continuous integration and deployment tools such as GitLab, GitHub, or Jenkins. Vector Databases: Experience with and (but not limited to) ChromaDB, Pinecone, PGVector, MongoDB, Qdrant etc. NoSQL: Familiarity with NoSQL databases (eg, MongoDB preferred). SQL: Experience working with SQL databases like PostgreSQL. Proficient in Git and version control platforms like GitHub, GitLab, etc. To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance.
Senior Infrastructure Engineer (NetDevOps) Certain Advantage are hiring for a Senior Infrastructure Engineer based in either Manchester, Blackpool, Newcastle, Leeds, or Birmingham. This role is on an initial contract until the end of March 2027. Responsibilities Design, implement, and enhance enterprise network infrastructure across data centre, hybrid, and cloud environments. Engineer and implement network traffic flows to support business critical services. Build and maintain secure hybrid connectivity across Azure, AWS, and OCI. Implement and manage Palo Alto firewall policies across on prem and cloud environments, aligned to Zero Trust principles. Design and operate high availability network services, including routing, segmentation, and resilience. Develop and maintain network automation using tools such as Python, Ansible, and Infrastructure as Code. Collaborate with architecture and platform teams to ensure solutions align with engineering standards and strategic direction. Contribute immediately to delivery work, demonstrating the ability to operate with minimal ramp up. Document designs and changes clearly and consistently, supporting maintainability and knowledge sharing. Qualifications Strong hands on experience in enterprise networking (OSPF, BGP, secure traffic design). Deep knowledge of Palo Alto firewalls and Zero Trust security principles. Experience with data centre technologies (VXLAN/EVPN, VRF, multi site fabrics, load balancing). Proven network automation skills (Python, Ansible, Terraform, CI/CD). Solid cloud and hybrid networking experience (Azure, AWS, or OCI). Background delivering engineering solutions in large scale, complex environments. Able to work across multiple priorities with minimal ramp up. Active SC Clearance. Does this sound like your next career move? Apply today.
23/06/2026
Full time
Senior Infrastructure Engineer (NetDevOps) Certain Advantage are hiring for a Senior Infrastructure Engineer based in either Manchester, Blackpool, Newcastle, Leeds, or Birmingham. This role is on an initial contract until the end of March 2027. Responsibilities Design, implement, and enhance enterprise network infrastructure across data centre, hybrid, and cloud environments. Engineer and implement network traffic flows to support business critical services. Build and maintain secure hybrid connectivity across Azure, AWS, and OCI. Implement and manage Palo Alto firewall policies across on prem and cloud environments, aligned to Zero Trust principles. Design and operate high availability network services, including routing, segmentation, and resilience. Develop and maintain network automation using tools such as Python, Ansible, and Infrastructure as Code. Collaborate with architecture and platform teams to ensure solutions align with engineering standards and strategic direction. Contribute immediately to delivery work, demonstrating the ability to operate with minimal ramp up. Document designs and changes clearly and consistently, supporting maintainability and knowledge sharing. Qualifications Strong hands on experience in enterprise networking (OSPF, BGP, secure traffic design). Deep knowledge of Palo Alto firewalls and Zero Trust security principles. Experience with data centre technologies (VXLAN/EVPN, VRF, multi site fabrics, load balancing). Proven network automation skills (Python, Ansible, Terraform, CI/CD). Solid cloud and hybrid networking experience (Azure, AWS, or OCI). Background delivering engineering solutions in large scale, complex environments. Able to work across multiple priorities with minimal ramp up. Active SC Clearance. Does this sound like your next career move? Apply today.
Data Analyst London - x3 days onsite 3-6 months initially Inside IR35 - umbrella only Job description We are seeking 2 talented and detail-oriented Data Analysts to join the Identity and Access team. This role will focus on reviewing and ensuring the integrity of identity data flowing end-to-end from MyHR, One Identity, Active Directory, and Entra systems. The successful candidate will be responsible for verifying the accuracy of existing identity attributes, identifying any additional fields required for dynamic content mapping, and ensuring that reporting is both current and reflective of any changes. The initial scope will cover the domain for employees and contractors, followed by non-human accounts, with subsequent extension to additional domains such as MNSSTORES for store colleagues. Key Responsibilities Conduct comprehensive reviews of the end-to-end data flow from MyHR, One Identity, Active Directory, and Entra to validate existing identity attributes and ensure accuracy. Identify and document any additional fields that should be mapped to enable dynamic content mapping across systems. Work collaboratively with stakeholders to understand data requirements for both human and non-human accounts within the domain, with plans to expand to other domains such as MNSSTORES. Maintain and update PowerBI dashboards and database reports to ensure that they reflect the most current data and any changes in identity attributes or mappings. Support the implementation of consistent identity data points for employees, contractors, and store colleagues across domains. Proactively monitor data integrity, flag anomalies, and recommend process improvements. Document processes, mappings, and findings to ensure knowledge sharing and audit readiness. Provide engineering teams with actionable outputs and data reports to facilitate the correction and improvement of identity attributes where issues have been identified. Essential Skills and Experience Proven experience as a Data Analyst or in a similar analytical role, preferably within identity and access management or HR data environments. Advanced proficiency in PowerBI for creating, maintaining, and enhancing reports and dashboards. Strong database skills, with experience writing and optimising SQL queries and handling large datasets. Solid understanding of data flows between HR systems, identity management platforms, and directory services (e.g., MyHR, One Identity, Active Directory, Entra). Excellent attention to detail with strong analytical and problem-solving abilities. Experience in mapping and transforming data fields for dynamic content delivery. Ability to communicate technical concepts clearly to both technical and non-technical stakeholders. Demonstrated ability to manage multiple priorities and work autonomously in a fast-paced environment. Demonstrated expertise in utilising Microsoft Graph and integrating APIs for data sources to streamline identity data retrieval. Desirable Skills Familiarity with identity and access management (IAM) concepts and best practices. Experience working within complex organisational structures and across multiple domains. Understanding of non-human account management and data handling challenges. Knowledge of data governance and compliance requirements in regulated environments. If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
23/06/2026
Contractor
Data Analyst London - x3 days onsite 3-6 months initially Inside IR35 - umbrella only Job description We are seeking 2 talented and detail-oriented Data Analysts to join the Identity and Access team. This role will focus on reviewing and ensuring the integrity of identity data flowing end-to-end from MyHR, One Identity, Active Directory, and Entra systems. The successful candidate will be responsible for verifying the accuracy of existing identity attributes, identifying any additional fields required for dynamic content mapping, and ensuring that reporting is both current and reflective of any changes. The initial scope will cover the domain for employees and contractors, followed by non-human accounts, with subsequent extension to additional domains such as MNSSTORES for store colleagues. Key Responsibilities Conduct comprehensive reviews of the end-to-end data flow from MyHR, One Identity, Active Directory, and Entra to validate existing identity attributes and ensure accuracy. Identify and document any additional fields that should be mapped to enable dynamic content mapping across systems. Work collaboratively with stakeholders to understand data requirements for both human and non-human accounts within the domain, with plans to expand to other domains such as MNSSTORES. Maintain and update PowerBI dashboards and database reports to ensure that they reflect the most current data and any changes in identity attributes or mappings. Support the implementation of consistent identity data points for employees, contractors, and store colleagues across domains. Proactively monitor data integrity, flag anomalies, and recommend process improvements. Document processes, mappings, and findings to ensure knowledge sharing and audit readiness. Provide engineering teams with actionable outputs and data reports to facilitate the correction and improvement of identity attributes where issues have been identified. Essential Skills and Experience Proven experience as a Data Analyst or in a similar analytical role, preferably within identity and access management or HR data environments. Advanced proficiency in PowerBI for creating, maintaining, and enhancing reports and dashboards. Strong database skills, with experience writing and optimising SQL queries and handling large datasets. Solid understanding of data flows between HR systems, identity management platforms, and directory services (e.g., MyHR, One Identity, Active Directory, Entra). Excellent attention to detail with strong analytical and problem-solving abilities. Experience in mapping and transforming data fields for dynamic content delivery. Ability to communicate technical concepts clearly to both technical and non-technical stakeholders. Demonstrated ability to manage multiple priorities and work autonomously in a fast-paced environment. Demonstrated expertise in utilising Microsoft Graph and integrating APIs for data sources to streamline identity data retrieval. Desirable Skills Familiarity with identity and access management (IAM) concepts and best practices. Experience working within complex organisational structures and across multiple domains. Understanding of non-human account management and data handling challenges. Knowledge of data governance and compliance requirements in regulated environments. If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
