data engineer

data scientist

senior data engineer

analytics engineer

platform engineer

data platform architect

<div><div><div>Entity:
Technology 
Job Family Group:
IT&amp;S Group 
Job Description:
The Principal Platform Engineer is a senior individual contributor role responsible for defining the strategy and architecture for how bp's portfolio of engineering and data platforms connect, converge, and serve the organisation. This role sits at the intersection of platform engineering and enterprise architecture, providing technical leadership and strategic direction without direct line management.
The role exists to bring coherence to a distributed platform landscape, ensuring that internal engineering platforms, cloud-native infrastructure, and enterprise software-as-a-service (SaaS) solutions are integrated in a consistent, scalable, and well-governed manner. The Principal Platform Engineer is the technical authority on platform integration and convergence, influencing design decisions across teams and functions.
Key Accountabilities<ul><li>
Define and maintain a platform convergence strategy that articulates the current-state landscape, the target architecture, and a credible transition path &mdash; enabling bp's engineering platforms and SaaS solutions to operate as an integrated whole.</li><li>
Lead architectural design and decision-making at the intersection of internal platforms and enterprise SaaS, establishing integration patterns, data contracts, and governance standards that apply consistently across the platform estate.</li><li>
Act as the principal technical authority for platform engineering across the digital delivery organisation, providing expert guidance on platform design, cloud-native patterns, and systems integration to engineering teams and senior stakeholders.</li><li>
Drive resolution of complex cross-platform integration challenges, including identity, data flow, event-driven architecture, and API design &mdash; ensuring that integration decisions are durable, secure, and aligned with enterprise standards.</li><li>
Produce and maintain high-quality architecture strategy documents, reference architectures, and decision records that are accessible to both engineering and executive audiences, building shared understanding of the platform direction.</li><li>
Collaborate with AI engineering, software engineering, and external vendor and partner teams to ensure that platform architecture decisions enable and do not constrain the delivery of business and AI-powered capabilities.</li></ul>
This is a role with organisation-wide technical influence. The successful candidate will work closely with engineering managers, delivery teams, and external partners across a complex, multi-platform environment. The role requires a balance of critical thinking and hands-on technical credibility &mdash; candidates should be comfortable both authoring architecture strategy documents and engaging deeply in technical design discussions.<h1 class="jobSectionHeader">
What you will bring...</h1><ul><li>
Extensive experience in platform engineering (including Kubernetes) and the design, delivery, and operation of large-scale, multi-component platform estates in a cloud-native environment.</li><li>
Proven enterprise architecture capability, including experience producing target-state architecture strategies and navigating complex system landscapes spanning internal platforms and third-party SaaS.</li><li>
Deep knowledge of cloud-native architecture patterns: containerisation and orchestration, service mesh, API gateway design, event streaming, and infrastructure-as-code.</li><li>
Demonstrable experience integrating enterprise SaaS solutions &mdash; including ERP or business application platforms &mdash; with internally developed systems, covering API, identity, and data integration patterns.</li><li>
Track record of operating as a senior technical authority in a large organisation, influencing architecture and engineering decisions at scale without direct management responsibility.</li><li>
Strong communication and documentation skills, with the ability to convey complex architectural concepts clearly to technical peers, delivery teams, and senior business stakeholders.</li><li>
Bachelor's degree or higher in Computer Science, Software Engineering, Systems Engineering, or a related technical subject area or equivalent experience.</li><li>
Familiarity with regulatory and compliance considerations (e.g., data residency, audit logging, access control) as they apply to enterprise platform design.</li></ul>
Desirable Criteria<ul><li>
Familiarity with enterprise data platform architectures, including data mesh, data fabric, or data lakehouse patterns, and how these intersect with application and integration platforms.</li><li>
Prior experience working at the boundary of AI/ML infrastructure and broader platform engineering, including understanding of how MLOps capabilities are hosted and operated within an enterprise platform.</li><li>
Experience engaging with external software vendors and system integrators on integration architecture and platform alignment.</li><li>
Relevant professional certifications in cloud architecture or enterprise architecture (e.g., AWS Solutions Architect Professional, Azure Solutions Architect) are advantageous.</li></ul><h1 class="jobSectionHeader">
Why join us?</h1>
We&rsquo;re committed to supporting leaders who want to make an impact. At bp, you&rsquo;ll have the chance to shape and influence outcomes across businesses. You&rsquo;ll be part of an inclusive environment where diverse perspectives are valued, and where your contribution to performance and integration matters. We invest in the growth and wellbeing of our people, providing the resources, networks, and development opportunities needed to thrive.
Our total rewards package includes competitive pay, bonuses, share options, and a range of flexible benefits designed to meet your needs &mdash; from healthcare and retirement plans to paid time off and agile working. We recognise that people have multifaceted lives, and we strive to offer a career experience that reflects that.
Apply now!
Location
Please note that while this position can be based in our Sunbury office, this will move to Southwark, London by end 2027. 
Travel Requirement
Negligible travel should be expected with this role 
Relocation Assistance:
This role is not eligible for relocation 
Remote Type:
This position is a hybrid of office/remote working 
Skills:
Agility core practices, Agility core practices, API and platform design, Cloud Platforms, Collaboration, Communication, Configuration management and release, Continuous deployment and release, Creating a high performing team, Database Design, Digital Project Management, Documentation and knowledge sharing, Emerging technology monitoring, Facilitation, Information Security, Mentoring, Metrics definition and instrumentation, NoSql data modelling, Problem Solving, Relational Data Modelling, Risk Management, Scripting, Secure development, Service operations and resiliency, Software Design and Development {+ 7 more} 
Legal Disclaimer:
We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp&rsquo;s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us. 
 
If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.</div>
<div>Legal Disclaimer:

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp&rsquo;s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us.

If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.</div>
</div><div>Expand job description</div></div>
 <div><div>Disclaimer 


This is a high-level summary only of terms and current discretionary benefits applicable to certain roles. Some rewards, benefits and policies are at managers&rsquo; discretion and vary depending on where you work within the business. All terms subject to contract and all discretionary benefits subject to policy and eligibility.</div></div>

Principal Platform Engineer

Hiscox

<div>
 
 Job Type
 
 
 
 Permanent
 
 
 
 Build a brilliant future with Hiscox
 
 
 
 
 Reporting to: Re &amp; ILS Head of Data
 
 
 
 
 Location:
 
 London
 
 
 Type: Permanent
 
 
 
 Role Overview
 
 
 
 The Lead Data Scientist is a crucial member of the
 
 extended
 
 RE&amp;ILS Tech Leadership Team, responsible for building, leading, and nurturing a highly capable (New)
 
 Data Science and Machine Learning
 
 chapter.
 
 
 This role facilitates the successful delivery of new AI Cloud-based solutions against our growing list of business use cases (involving complex Data Analytics, Machine Learning, and AI Agent based solutions).
 
 
 You will co-lead the new Data Science chapter with the RE&amp;ILS Head of Data and help ensure its members provide Data Science capabilities and insights to support decision-making across RE&amp;ILS strategic Value Streams. Whilst the chapter grows, you are expected to be
 
 hands-on
 
 actively helping to architect, design, and build AI or Data Science-based solutions, using internally trained models, LLMs and/or a combination of both.
 
 
 Whilst undertaking this pioneering work it is essential that you and your entire chapter operates within the boundaries of the
 
 Group AI Governance Framework
 
 and maintains rigorous data governance standards. You will be accountable of this adherence.
 
 
 This is likely to be your first managerial role and the first time you have had one or more direct reports &ndash; having previously been a Senior Data Scientist or Machine Learning Engineer yourself. In this role you will be responsible for the management of a 1 to 4 junior and mid-level Hiscox FTEs and Partner resources too. You will be expected to support the Head of Data with attracting and retaining the best talent; helping to manage their career progression and ensure they are highly engaged, find the work fulfilling, and have the ability to rapidly deliver value to the business. As this is likely to be your first managerial role you will be supported and guided by other Data Leaders &ndash; Head of Data and the Hiscox Group Head of Data Science as well.
 
 
 
 About Hiscox Re &amp; ILS
 
 
 
 Hiscox Re &amp; ILS is located in
 
 Bermuda and London
 
 and underwrites reinsurance risks from around the world on behalf of our own and other people&rsquo;s capital. The team of over 100 smart, enthusiastic individuals are committed to providing top quality service to brokers and clients across a broad range of reinsurance products. Our approach is simple; match the best underwriting risk against globally diversified capital. Our proactive, product-led underwriting approach is complemented by a commitment to world class service and purpose-built analytics and systems. We know our people are our biggest asset so finding and retaining the best talent is critical to achieving our vision.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Chapter Leadership &amp; Talent Management
 </li>
 <li>
 People Management: Lead, recruit, mentor, coach, train, and retain a high-performing chapter of Data Scientists and Machine Learning Engineers (expected to grow to over the next few years), including both Hiscox FTE and Partner colleagues. Inspire chapter members to be curious, embrace new ideas, and nurture psychological safety to help build a high-performance culture.
 </li>
 <li>
 In this role you will manage at least one to two Hiscox data scientists and some partner resources too. You will be expected to manage their performance with relevant PDRs and help to calibrate their overall performance ratings with other people managers in the team. You will work with the Head of Data and Group Head of Data Science to help tailor the training needs to suit each individual and ensure they have the opportunity to grow and progress in their chosen career paths.
 </li>
 <li>
 Culture &amp; Development: Cultivate a collaborative, engaged, and fulfilled team culture. Provide technical leadership, career guidance, and direction to the team, ensuring successful delegation to all chapter members.
 </li>
 <li>
 Best Practice: Ensure the chapter adheres to best practices in data science, AI, and complex analytics, sharing knowledge across the wider Hiscox Analytics and Data community through active participation in Communities of Practice.
 </li>
 <li>
 Mentoring: Mentor and educate others in the various data science techniques, encouraging the team to continually learn &ndash; especially supporting the adoption of LLMs and proprietary models that could significantly accelerate our ability to deploy value.
 </li>
 <li>
 Solution Delivery &amp; ML Ops Excellence
 </li>
 <li>
 Hands-On Architecture: Get hands-on to help architect, design, and build complex models that integrate into existing IT solutions to improve data-driven decision-making throughout the Reinsurance Value Chain. Ensure you and your chapter members work closely with Platform Engineers and Architects to create the most optimal and safe solutions.
 </li>
 <li>
 ML Ops Platform: Actively work with the Head of Platform Engineering to establish and maintain a professional ML Ops platform to facilitate the effective support of developed models in production. This includes embedding a rigorous model evaluation process, ensuring consistent model refresh/rebuild capabilities due to model or data drift, and implementing effective monitoring and alerts against rogue behaviour.
 </li>
 <li>
 Speed of Execution: Empower the chapter to work effectively within autonomous squads, delivering desired and valuable outcomes in an incremental manner while correctly balancing accuracy, fast return on investment, and reliability. Understand when to move on and fail fast &ndash; as a lot of AI use cases will be highly experimental in nature with no guarantees of success.
 </li>
 <li>
 Pipeline Collaboration: Work with Data Engineering and other teams to properly understand and contribute to the requirements and building of necessary data pipelines/products consumed by our models.
 </li>
 <li>
 Strategy, Governance &amp; Innovation
 </li>
 <li>
 Use Case Identification: Continually work with key business leaders, the Head of Data and key stakeholders to identify new use cases and opportunities where data science/AI can deliver a competitive advantage or reduce waste/costs through efficiency gains.
 </li>
 <li>
 Governance &amp; Compliance: Champion data and model governance, working within the Group AI Governance Framework. Ensure a mature understanding of data governance, lineage, and version control, and enforce data privacy by design in all new work.
 </li>
 <li>
 Innovation: Maintain a strong awareness of new trends and techniques in Data Science, AI, and Machine Learning. Drive the identification of innovative data solutions and technologies, and actively undertake Proof of Concepts and R&amp;D to deliver reliable insights and potential next steps quickly.
 </li>
 <li>
 Communication: Ensure clear and effective communication of data science solutions and outcomes across business layers, technical teams, and senior leadership.
 
 
 
 </li>
 </ul>
 
 Required Experience And Structure
 
 
 
 <ul>
 <li>
 Reporting: Reports into the RE&amp;ILS Head of Data with a dotted line into the new Group Head of Data Science.
 </li>
 <li>
 Direct Reports: Direct line management for Data Scientists and Machine Learning Engineers within the RE&amp;ILS Data Science Chapter.
 </li>
 <li>
 Key Partners: RE&amp;ILS CTO, Group Head of Data Science, RE&amp;ILS Head of Data, Product Managers, Product Owners, and strategic partners (e.g. Google Cloud, Microsoft).
 
 
 
 </li>
 </ul>
 
 Candidate Profile
 
 
 
 The successful candidate will be an energetic, highly capable, and passionate Senior Data Scientist who wants to move into their first people management role. You will need to balance technical expertise with effective people management and strategic business partnership. You must be comfortable working in an FCA-regulated business, advocating for a data-driven approach, and driving innovation while maintaining rigorous AI governance standards. You will have a strong determination and resilience and not fear failure or the inevitable setbacks often found in highly experimental work.
 
 
 
 Main Experience Required Is
 
 
 
 <ul>
 <li>
 Deep Interest in Leadership: As an experienced data scientist or machine learning engineer, has previously demonstrated excellent traits in mentoring and coaching more junior team members and has been happy to invest in them - clearly demonstrating they care about other peoples&rsquo; career progression. Also you can evidence some successful business outcomes that you personally drove forward using advanced Data Science/AI &ndash; as this most likely is your first leadership role.
 </li>
 <li>
 Technical Depth: Extensive "hands-on" experience in architecting, designing, and building complex ML models, with a strong understanding of cloud services and the AI/ML/LLM ecosystem.
 </li>
 <li>
 ML Ops Maturity: Proven ability to build, maintain, and support production-deployed models, including establishing effective monitoring, evaluation, and refresh processes.
 </li>
 <li>
 AI and Data Governance: Mature understanding of AI and Data governance - data obfuscation &amp; data privacy laws, data version control, data lineage, and the application of AI governance frameworks in a regulated environment.
 </li>
 <li>
 Stakeholder Management: Experience in managing and driving collaboration with business unit leaders (Underwriters, pricing teams, MI team) and external technology partners like Google Cloud, Snowflake, DataIku and Microsoft.
 </li>
 <li>
 Education: Bachelor's/Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or equivalent.
 </li>
 <li>
 Capacity for independent, high-quality research and exploratory data analysis, with the ability to develop and apply novel methodologies to solve ill-defined and challenging business problems.
 </li>
 <li>
 Exceptional proficiency in Python (and R) for data science, coupled with SQL capabilities for data manipulation and extraction. Demonstrable mastery in a wide range of machine learning and statistical modelling techniques, from classical linear models and tree-based methods to advanced deep learning architectures.
 </li>
 <li>
 Real world experience with, or demonstrable capability for, applications of Generative AI, Large Language Models (LLMs), AI Agents and related areas such as Natural Language Processing (NLP) or Computer Vision, relevant to business solutions.
 </li>
 <li>
 Demonstrate a Solid understanding of foundational statistics and experimental design. Pioneer the development and robust deployment of highly impactful machine learning and AI-driven solutions, directly contributing to significant commercial value, quantifiable business growth, or efficiency gains across the organization.
 </li>
 <li>
 Ability to translate complex data science insights into tangible, measurable improvements across critical business processes and key performance indicators, ensuring the real-world adoption and beneficial outcomes of our analytical work.
 </li>
 <li>
 Ability to elevate the technical maturity and capabilities of the data science chapter by shaping and implementing industry-leading AI, data, and analytics techniques, methodologies, and engineering best practices.
 </li>
 <li>
 Educator: shown the ability to train and coach more junior and mid-level team members - ensuring they have excellent career progression and become high performers.
 
 
 
 </li>
 </ul>
 If you are a visionary expert looking for your first leadership role and ready to accelerate our value delivery and champion all things Data Science and AI, we invite you to apply for the position of Lead Data Scientist at Hiscox Re &amp; ILS. Join our team and be a catalyst for AI adoption in a dynamic, forward-thinking organization.
 
 
 
 Work with amazing people and be part of a unique culture
 
</div>

Lead Data Scientist

Databricks

<div>Req ID: CSQ127R149
Location: London, United Kingdom - Hybrid
Recruiter: Dina Hussain
We&rsquo;re hiring for multiple roles within our FDE team.
As a Forward Deployed Engineer (FDE), you will work with customers to build and productionize solutions to their data &amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get the most value out of their data.
This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specifications with exceptional customer empathy.
The impact you will have:
<ul><li>Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration</li>
<li>Transformational Impact: Guide strategic customers as they implement transformational big data projects, including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer</li>
<li>Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects that lead to a customer's successful understanding, evaluation and adoption of Databricks.</li>
<li>Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.</li>
<li>Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customers' needs.</li>
<li>Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement-specific product and support issues.</li>
<li>Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.</li>
<li>Reusable Assets &amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.</li>
</ul>What we look for:
<ul><li>Experience in data engineering, data platforms &amp; analytics, or software engineering / full stack development</li>
<li>Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks</li>
<li>Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one</li>
<li>Deep experience with distributed computing with Apache Spark&trade; and knowledge of Spark runtime internals</li>
<li>Familiarity with CI/CD for production deployments</li>
<li>Working knowledge of MLOps, ML/AI models and AI APIs</li>
<li>Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.</li>
<li>Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.</li>
<li>Documentation and white-boarding skills.</li>
<li>Experience working with enterprise clients and managing conflicts across a broad stakeholder range</li>
<li>Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.</li>
<li>Travel to customers 20% of the time</li>
<li>Databricks Certification - an advantage</li>
</ul><div>About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide &mdash; including Comcast, Cond&eacute; Nast, Grammarly, and over 50% of the Fortune 500 &mdash; rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark&trade;, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
 
 
Benefits
 
 
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. 
 
 
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</div></div>

Senior Forward Deployed Engineer

GSMA

<div>Department: Technology
Team: Security
Location: London with hybrid ways of working
Position type: Permanent
What the hiring manager says
This is a hands on engineering role at the heart of GSMA&rsquo;s TISAC platform transformation. You will be responsible for building, evolving, and maintaining the technical backbone that enables cyber threat intelligence sharing for the global telecoms ecosystem. We&rsquo;re looking for a T-ISAC Platform Software Engineer who thrives on solving complex architectural challenges, automating largescale systems, and bringing engineering excellence to a critical industry capability.
You&rsquo;ll work closely with CTI analysts, architecture teams, and platform vendors to deliver a secure, scalable, and resilient T‑ISAC service. If you are passionate about infrastructure, automation, API integrations, platform reliability, and delivering secure-by-design services to a global community, this role is your opportunity to help shape the future of telecom security.
If you thrive on working with cutting-edge intelligence platforms, enjoy mentoring others and want to help mature a global security community, this is an opportunity to truly influence the future of telecom security.
Agwu Nwoke, Industry Security Programme Director
About the Team
The GSMA Industry Security Team is the mobile industry&rsquo;s focal point for the mobile network security. The team is responsible for co-ordinating GSMA member security working groups, leading industry wide security initiatives and engaging with global regulators to ensure security is an enabler and not a barrier to next generation mobile services.
The team is responsible for a number of industry wide Cybersecurity schemes including:<ul><li>
Telecommunications Information Sharing and Analysis Center (T-ISAC).</li><li>
Mobile Co-ordinated Vulnerability Disclosure (CVD).</li><li>
Network Equipment Assurance Scheme (NESAS).</li></ul>
About the GSMA T-ISAC
The Telecommunication Information Sharing and Analysis Centre (T-ISAC) is the cybersecurity threat intelligence community for the telecommunication industry, dedicated to facilitating collaboration and intelligence sharing among mobile network operators, mobile virtual network operators and industry stakeholders. T-ISAC provides GSMA members with critical cyber threat intelligence, fostering a trusted environment where telecommunication stakeholders can proactively address cybersecurity threats and reduce risks through the development of best practices. By uniting telecommunication MNOs, MVNOs, manufacturers, service providers and industry in a shared mission, T-ISAC enhances the mobile ecosystem&rsquo;s resilience against cyber threats. For more information, visit www.gsma.com/T-ISAC.
About the Role
As the Platform Software Engineer for T‑ISAC, you will be responsible for the engineering, operation and continuous improvement of the platforms, tooling and integrations that power the T‑ISAC service.
Key Responsibilities
Platform Engineering &amp; Development
Design, develop and maintain the T-ISAC platform, delivering secure, scalable data workflows, automation capabilities and collaboration tools that support threat intelligence sharing and enrichment.
Service Reliability &amp; Operations
Lead the operational reliability of the T-ISAC platform through proactive monitoring, incident management, performance optimisation and secure-by-design engineering practices.
Integration &amp; Interoperability
Deliver and support integrations, APIs and data exchange capabilities that enable secure, scalable intelligence sharing across members and third-party security platforms.
Platform Roadmap &amp; Technical Strategy
Shape the evolution of the T-ISAC platform by defining future-state architecture, driving technical improvements and evaluating emerging technologies.
Security &amp; Compliance
Maintain a secure and compliant platform through secure engineering practices, automated controls, vulnerability management and adherence to regulatory and governance standards.
Collaboration &amp; Community
Foster collaboration across members, analysts, security teams and industry partners to improve platform adoption, effectiveness and community engagement.
About You
You will bring enthusiasm and ownership to this specialised senior role in cyber threat intelligence analysis, joining a dynamic and ambitious team. Your drive will be key to transforming bold ideas into impactful programmes and seeing them through to successful delivery.
You will have telecoms experience gained from working at an operator, with an operator or within the wider telecom industry.
You will have proven knowledge and expertise in designing, building and operating the core platforms and infrastructure that enable scalable, reliable, secure and efficient software delivery across operations in Intelligence, Cybersecurity, Data Analytics or a related field (equivalent experience will be considered). You will also have experience working with ISACs or other information sharing organisations.
About Your skills
In addition to technical skills, you will have :
Teamwork &ndash; you will be comfortable when working collaboratively in a virtual, distributed team environment.
Communication &ndash; you will have exceptional verbal and written communication skills, with a track record of presenting to executive audiences.
Leadership &ndash; you will have proven leadership and mentoring skills, ideally within an intelligence team.
Analysis &ndash; you will have strong analytical, critical thinking and problem solving skills, with ability to analyse cybersec intelligence.
Essential<ul><li>
Extensive experience of building and implementing intelligence platforms e.g. OpenCTI, MISP.</li><li>
Experience of using collaborative open source tools as part of your analysis and research processes.</li><li>
Understanding of Nation-State Actors, Cyber Crime, Hacktivism and advanced threat actor tactics, techniques and procedures (TTPs).</li><li>
Experience in cybersecurity intelligence, including collection, analysis and dissemination.</li><li>
Professional experience within the telecom industry, whether gained at an operator, in partnership with an operator, or through work in telecom related organisations, vendors, academia or the wider mobile ecosystem.</li></ul>
Preferable<ul><li>
Understanding of mobile data, protocols and technology such as, but not limited to SS7, MOTIF, HRN, IRSF, URLs, GTs.</li><li>
Knowledge of mobile network architectures and services.</li><li>
Understanding of mobile network and services, threat landscape and the common attacks to which they are exposed.</li><li>
Comprehensive understanding of telecommunication industry operations and challenges.</li><li>
Expertise in using and applying the Mitre ATT&amp;CK&reg; framework, MISP, OpenCTI, Meta, EclecticIQ, Governments, Law Enforcement and other COIs (national and international) for threat analysis and strategy development.</li></ul>
We strive to offer a meaningful and inclusive application experience for all candidates. Should you require any accommodations or adjustments due to a disability or for any other reason during the hiring process, please contact talent@gsma.com with your request.
Contract type
Regular
Worker type
Employee<h2 class="jobSectionHeader">
What We Offer</h2>
Working at the GSMA offers you unparalleled access to the mobile industry. We offer a chance to truly shape the direction of mobile, whatever your role. By joining the GSMA, you will be exposed to a fast-paced rapidly evolving environment, working on global solutions, genuinely fascinating and industry-changing projects and a stimulating and dynamic environment designed to enable you to flourish.
In addition to architect-designed offices and competitive compensation, our benefits include fantastic learning &amp; development opportunities, generous holiday allowances, four additional days off for professional development and many others.
To learn more about the GSMA, visit our career site, our LinkedIn page and our Twitter page.
Being You at the GSMA
We care deeply about diversity, equity and inclusivity and aspire to be the best at it. Your well-being and work/life balance is important, so flexi-time and remote working is available to all staff. We're keen to ensure everyone is equal, represented and connected so we particularly encourage applications from all demographics. The sucess of the GSMA year on year will continue to be contributed by people from all walks of life.
GSMA Values
Our values not only drive our culture &ndash; they shape how we work and interact inside and outside our global organisation.
Passionately driven
We approach everything we do with unparalleled capability, tenacity and commitment, knowing that the challenging scale, pace and complexity of our work is what leads to its world-changing impact.
Insightful leaders
We continually develop and engage our expertise, insight and creativity so that we&rsquo;re always ready to respond to the changing landscape with authority, agility and nuance.
Stronger together
We lean on each other so the industry can lean on us, embracing our diversity by actively seeking out perspectives and skill sets beyond our own, fuelling each other&rsquo;s successes and constantly asking how we can help.
Underpinning our values is our collective mindset to show up purposefully as good human beings every day, in every situation. When we&rsquo;re at our best &ndash; we are collaborative, considerate and compassionate to others, and we create a safe space for one another to thrive, assuming positive intent in our colleagues. And if we aren&rsquo;t at our best and the pressure is on &ndash; we feel free to be ourselves but still remain curious, lean into the tough stuff and we are always respectful to others and accountable for the part we play.</div>

T-ISAC Platform Software Engineer

Google

<div><h3 class="jobSectionHeader">Minimum qualifications:</h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.</li>
<li>2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.</li>
<li>1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).</li>
<li>Experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).</li>
<li>Ability to communicate in French and German fluently to support client relationship management in this region.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Master&rsquo;s degree or PhD in AI, Computer Science, or a related technical field.</li>
<li>Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, or Google&rsquo;s Agent Development Kit (ADK)) and complex patterns like ReAct, self-reflection, and hierarchical delegation.</li>
<li>Knowledge of &quot;LLM-native&quot; metrics (tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.</li>
<li>Ability to implement secure agentic workflows incorporating MCP, tool-calling, and OAuth-based authentication.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
Google Cloud&rsquo;s mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. In this role, you aren&rsquo;t just building technology; you&rsquo;re shaping the frontier of enterprise and driving the evolution of advanced models. It's an exciting time to join Google Cloud&rsquo;s Go-To-Market team, leading the AI revolution for businesses worldwide. You&rsquo;ll excel by leveraging Google's brand credibility&mdash;a legacy built on inventing foundational technologies and proven at scale. We&rsquo;ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We&rsquo;re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era&mdash;the market is yours.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Serve as the lead developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol (MCP) servers) that drive measurable return on investment.</li>
<li>Architect and code the &quot;connective tissue&quot; between Google&rsquo;s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters.</li>
<li>Build high-performance evaluation (Eval) pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.</li>
<li>Identify repeatable field patterns and technical &quot;friction points&quot; in Google&rsquo;s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.</li>
<li>Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Partner Forward Deployed Engineer III, Generative AI (French, German)

Talan

<div>Company Description 
Talan Data x AI is a leading Data Management and Analytics consultancy, working closely with leading software vendors and top industry experts across a range of sectors, unlocking value and insight from their data. At Talan Data x AI, innovation is at the heart of our client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI). 
Job Description 
As our AI practice scales, we are seeking an experienced AI Architect / Engineer to act as the senior technical authority shaping how we design and deliver next-generation AI solutions. This is a role for someone who has moved beyond building individual models to architecting entire systems: agentic platforms, LLM-powered applications, and the production infrastructure that makes them dependable at enterprise scale.
You will sit at the intersection of strategy and delivery, operating across multiple client engagements simultaneously. In the early phases you will shape solutions, validate technical approaches, and translate ambiguous business problems into robust, deployable architectures. As engagements mature, you will provide the technical oversight that keeps delivery teams aligned to the original design intent. Your influence will be felt in pre-sales conversations, solution blueprints, and the technical standards that define how our practice builds.
This is a hands on architectural role, not a purely advisory one. We expect you to remain close to the code, to prototype where it accelerates a decision, and to set a credible technical example for the engineers and data scientists you guide.
Required skills &amp; experience:<ul><li>
Lead end-to-end solution architecture for AI and LLM-based systems, spanning data, integration, infrastructure, and deployment.</li><li>
Design agentic architectures and multi-agent orchestration patterns, defining how LLMs, tools, APIs, and retrieval layers interact reliably.</li><li>
Shape early-stage engagements (scoping, solutioning, estimation, and pre-sales) turning client ambition into deliverable technical plans.</li><li>
Provide technical validation and quality oversight across several concurrent projects, mitigating risk before it reaches delivery.</li><li>
Define LLM integration and prompting strategies, including RAG, fine-tuning, evaluation, and guardrailing approaches.</li><li>
Establish MLOps and LLMOps practices that ensure solutions are observable, testable, and production ready.</li><li>
Set architectural standards, reusable patterns, and reference implementations that raise the quality bar across the practice.</li><li>
Partner with Responsible AI colleagues to embed safety, security, and governance into solution designs from the outset.</li></ul> 

Qualifications 
To qualify for this role, you must have:
<ul><li>Minimum 5 years in AI architecture or AI engineering, ideally 10+, with a track record of production deployments.</li><li>
Deep expertise in LLMs, agent frameworks (e.g. LangGraph, AutoGen, Semantic Kernel), API design, and orchestration.</li><li>
Strong cloud engineering experience.</li><li>
Proven MLOps / LLMOps capability &mdash; CI/CD for models, monitoring, evaluation, and cost optimisation.</li><li>
Hands-on software engineering background (Python and modern tooling) underpinning your architectural decisions.</li><li>
Comfort managing multiple engagements at once, with pragmatic judgement on trade-offs and delivery risk.</li></ul>
Ideally, you&rsquo;ll also have, but not essential:<ul><li>
Experience in consulting, professional services, or pre-sales environments.</li><li>
Exposure to enterprise-scale, regulated AI deployments (financial services, public sector, healthcare).</li><li>
Familiarity with vector databases, knowledge graphs, and advanced retrieval techniques.</li><li>
Relevant cloud or AI certifications.</li></ul>
You must be:<ul><li>
Willing to work on client sites, potentially for extended periods.</li><li>
Willing to travel for work purposes and be happy to stay away from home for extended periods.</li><li>
Eligible to work in the UK without restriction.</li></ul> 
#TalanUK #LI-HB1 
Additional Information 
Compensation &amp; Benefits Package:<ul><li>
BDP Plus &ndash; A reward programme whereby you accrue points to trade against a 3-month paid sabbatical or cash equivalent.</li><li>
25 days holiday + bank holidays.</li><li>
5 days holiday buy/sell option.</li><li>
Private medical insurance.</li><li>
Life cover.</li><li>
Cycle to work scheme.</li><li>
Eligibility for company pension scheme (5% employer contribution, salary sacrifice option).</li><li>
Employee assistance programme.</li><li>
Bespoke online learning via Udemy for Business.</li></ul>
Why join:
You will be a founding technical voice in a practice that is investing decisively in AI. The work is varied, intellectually demanding, and commercially significant, you will shape solutions that reach production, not slideware. You will have the autonomy to define how we build, the support of a collaborative multidisciplinary team, and a clear platform to grow into a practice-leading technical figure.</div>

AI Architect / Engineer (Agentic AI & LLM Architecture)

Legal & General

<div>
 
 Legal &amp; General (L&amp;G) is a leading UK financial services group and major global investor.
 
 
 
 
 
 We&rsquo;ve been safeguarding people&rsquo;s financial futures since 1836, and strive to build a better society, while improving the lives of our customers and creating value for shareholders.
 
 
 
 
 
 We are one of the world&rsquo;s largest asset managers and provide powerful asset origination capabilities. Together, these underpin our retirement and protection solutions: we are an international player in pension risk transfer, in UK and US life insurance, and in UK workplace pensions and retirement income.
 
 
 
 
 
 
 Who we are
 
 
 
 
 
 
 Our Retail business supports customers throughout their lives, to help them save, plan, protect and enjoy retirement.
 
 
 
 
 We&rsquo;re a leading provider of retirement and protection solutions. We aim to support our c.12.8 million policyholders and workplace members throughout their lifelong financial journeys.
 
 
 
 
 We focus on helping the customers of today and tomorrow achieve better long-term outcomes. We either talk with them directly or work with intermediaries and employers to meet their needs. We use the latest technology to connect with them quickly, efficiently and wherever possible in highly personalised ways.
 
 
 
 
 
 
 Job Description
 
 
 
 
 We&rsquo;re building a modern, enterprise‑scale data platform that helps our Retail business make smarter, data‑driven decisions every day. Our Data Operations team enables this by designing, running and continuously improving the Retail &amp; Analytics Data Hub (RADH), a strategic data platform at the heart of analytics and reporting.
 
 
 
 
 We&rsquo;re looking for a Platform Specialist to take technical ownership of RADH and help shape its future. This is a great opportunity for someone who enjoys working at the intersection of platform engineering, data architecture and Snowflake innovation, and who wants to influence how data platforms evolve at scale.
 
 
 
 
 
 What you'll be doing:
 
 
 
 
 <ul>
 <li>
 Leading the ongoing development of the Retail &amp; Analytics Data Hub as a strategic enterprise data platform
 </li>
 <li>
 Introducing and optimising Snowflake capabilities to improve performance, scalability and reliability
 </li>
 <li>
 Acting as a Snowflake subject matter expert, shaping best practice across the organisation
 </li>
 <li>
 Improving automation through CI/CD pipelines, infrastructure as code and orchestration frameworks
 </li>
 <li>
 Embedding observability across the platform, including monitoring, alerting, lineage and data quality
 </li>
 <li>
 Implementing and influencing robust governance, security and access controls in partnership with Information Security
 </li>
 <li>
 Collaborating with engineers, analysts and product teams to support platform adoption and delivery
 </li>
 <li>
 Optimising platform costs while maintaining agreed service levels for availability, performance and data quality
 </li>
 </ul>
 
 
 Who we're looking for:
 
 
 
 
 <ul>
 <li>
 Strong experience in data platform or data engineering roles within cloud environments
 </li>
 <li>
 Deep hands‑on knowledge of Snowflake and its core features and capabilities
 </li>
 <li>
 Confidence working with SQL and modern data engineering tooling and patterns
 </li>
 <li>
 Experience designing or supporting enterprise‑scale data platforms and architectures
 </li>
 <li>
 Understanding of data governance, security, access management and compliance
 </li>
 <li>
 Ability to communicate complex technical topics to both technical and non‑technical audiences
 </li>
 <li>
 A collaborative mindset with a desire to support and enable others
 </li>
 <li>
 Curiosity, adaptability and an interest in continuous improvement and emerging technologies
 </li>
 </ul>
 
 
 Whatever your role, we reward performance and behaviour with a package that looks after all the things that are important to you. Here are some of the benefits we offer:
 
 
 
 
 <ul>
 <li>
 The opportunity to participate in our annual, performance -related bonus plan and valuable share schemes
 </li>
 <li>
 Generous pension contribution
 </li>
 <li>
 Life assurance
 </li>
 <li>
 Healthcare Plan (permanent employees only)
 </li>
 <li>
 At least 25 days holiday, plus public holidays, 26 days after 2 years&rsquo; service. There&rsquo;s also the option to buy and sell holiday
 </li>
 <li>
 Competitive family leave
 </li>
 <li>
 Participate in our electric car scheme, which offers employees the option to hire a brand-new electric car through tax efficient salary sacrifice (permanent employees only)
 </li>
 <li>
 There are the many discounts we offer &ndash; both for our own products and at a range of high street stores and online
 </li>
 <li>
 We&rsquo;re creating net‑zero carbon workplaces by 2030 by investing in our sustainable, modern offices across the UK, all designed to bring people together and elevate the in‑person experience
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 At L&amp;G, we believe it's possible to generate positive returns today while helping to build a better future for all.
 
 
 
 
 If you join us, you&rsquo;ll be part of a welcoming, inclusive culture, with opportunities to collaborate with people of diverse backgrounds, views, and experiences. Guided by leaders with integrity who care about your future and wellbeing. Empowered through initiatives which support people to develop their careers and excel.
 
 
 
 
 We care passionately about outcomes rather than attendance and are therefore open to discussing all kinds of flexible working options including part-time, term-time and job shares. Although some roles have limited flexibility due to customer demand, we accommodate requests when we can.
 
 
 
 
 It doesn&rsquo;t matter if you don&rsquo;t meet every single criterion in this advert. Instead, think about what you excel at and what else you can bring in terms of strengths, potential and connection to our purpose.
 
</div>

Platform Specialist

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