ai engineer

software engineer

lead software engineer

platform engineer

infrastructure engineer

engineering lead principal

Toyota Connected

<div><p><b>Java Engineering Lead / Principal</b></p><p><b>
Farringdon, London (Hybrid)</b></p><p><b>
Permanent</b></p><p></p><p><b>
Who are we?</b></p><p>
Toyota Connected Europe wants to create a better world through connected mobility for all. We are a new company created to bring big data and a customer focus into all aspects of the mobility experience, so everyone&rsquo;s experience is more personal, convenient, fun and safe. We create and enable technologies to delight and simplify the lives of everyone who use our products and empower them to think of and use our services in new ways.</p><p>
You will be joining us at the beginning of Toyota Connected Europe&rsquo;s journey of building our team and products. We are building teams to inspire, innovate and build technologies and products that are used by millions of people from all walks of life. We want every member of our team to live and breathe the start-up culture of Toyota Connected Europe and feel and act like an owner every day. This is an opportunity to have an immediate impact and voice: what you create today, you will see being used tomorrow.</p><p></p><p><b><br>
About the Role:</b></p><p>
We are looking for an experienced Engineering Lead to join the team who will have a pivotal role in building core team capabilities and leading the design, development, implementation and documentation of large-scale, distributed software applications, systems and services. You will lead the development of platforms which will enable our vehicles to communicate to the cloud. The features you build will power driving experiences across the world.</p><p></p><p><b><br>
What you will do:</b></p><ul><li><p>
Define and drive the adoption of leading principles, practices, standards and technologies to develop high quality, robust and secure technology solutions</p></li><li><p>
Work closely with product and stakeholders to best solve business problems, shape and deliver features to customers, partner to set the optimum direction of the product roadmap and thrive as an independent, autonomous, creative thinker that can break out from conventional solutions</p></li></ul><ul><li><p>
Technical responsibility for software development across all stages and iterations. Plan and drive software construction activities, adopt and adapt appropriate software development methods, tools and techniques. Measure and monitor applications of project/team standards for software construction, including software security, contributing to the development of policies, standards, and guidelines</p></li><li><p>
Systems and software design of large or complex systems, undertake impact analysis on major design options and trade-offs, ensuring balance of functional and non-functional requirements and that appropriate methods, tools and techniques are applied effectively, making recommendations and assess and manage associated risks. Adopt and adapt system design methods, tools and techniques; contributing to development of system design policies, standards and selection of architecture components</p></li><li><p>
Plan and drive systems development projects which support the organisation's objectives, select, adopts and adapts appropriate systems development methods, tools and techniques. Ensure that stakeholders are aware of required resources and manage optimum availability and utilisation. Ensure projects are carried out in accordance with agreed architectures, standards, methods and tools and addresses security and privacy requirements</p></li><li><p>
Plan and drive activities to develop systems integration and build capabilities including automation and continuous integration, identify evaluate and manage the adoption of tools, techniques and processes to create a robust integration framework. Lead integration work in line with the agreed system and service design, assess risk and take preventative action.</p></li><li><p>
Contributes to identifying new areas of capability improvement within the organisation, select and prioritise improvement opportunities, generate buy-in and plans improvement activities justified by measurable benefits</p></li></ul><ul><li><p>
Determine development needs for a professional practice area, align development activities with organisational priorities, learning and development strategies and career pathways. Assist with the creation of development plans, ensuring alignment with professional development plans and career opportunities.</p></li><li><p>
Collaborate with other talented lead engineers in a team-oriented, agile software engineering environment, to build engineering and capability maturity</p></li><li><p>
Responsible for service delivery (build and run) from concept to code to production - availability, reliability, robustness and quality of projects and platforms</p></li><li><p>
Collaborate with peers (Product, Quality, Delivery, Operations) to drive operational quality (NFR&rsquo;s), ensuring observability and surfacing of key metrics</p></li><li><p>
Line management of team, influence, coach and lead team members through continuously sharing of knowledge, pair programming, code reviews, delivering feedback and improvement opportunities in technology - encouraging and developing good engineering practice and ways of working</p></li><li><p>
Evolve technology and team capabilities - define and own technology strategy and delivery via a balanced roadmap</p></li></ul><p></p><p><b><br>
About you:</b></p><ul><li><p>
Great technology leader and team player, focused on achieving best team outcomes through coaching, collaboration and continuous improvement; experience of running and optimising distributed teams</p></li><li><p>
Highly technical seasoned technologist, with hands-on expertise, combined with strong communication skills who can articulate and deliver best fit solutions covering functional and non-functional requirements within constraints of time and team capacity/velocity</p></li></ul><ul><li><p>
Passion for excellence in engineering, cloud and secure practices &ndash; able to make positive impact at both the team and enterprise level for strategic initiatives</p></li><li><p>
Experience of building and designing event driven and/or streaming data services, IoT domain would be great but not essential</p></li><li><p>
Expert programming experience in Java (11+) and show a sense of ownership and pride in your code; make us believe you will excel. Experience with testing frameworks such as JUnit5, Mockito, Spring Integration</p></li><li><p>
Experience with at least one major cloud provider (ideally AWS), ideally provisioning infrastructure and services through code (IaC)</p></li><li><p>
Expertise and experience working with APIs (designing with OpenAPI is desirable) and web services, CI/CD pipelines (Git-lab desirable) and automated testing (BDD, Performance, Security), Kubernetes and cloud native practices, containerized workloads with tools such as Docker</p></li></ul><ul><li><p>
Experience and expertise of implementing best practice engineering patterns, including those used in highly scalable, distributed, and resilient systems</p></li><li><p>
Able to identify and champion areas of innovation in tooling and techniques and understand timing for adoption</p></li><li><p>
Experience of setting good practice of software architecture, design and implementation; ensure adherence and keeping up to date with industry trends</p></li><li><p>
Experience of setting standards and using tools to design, code, test, correct and provide documentation</p></li><li><p>
Passion for agile practices such as Kanban/Lean, DevSecOps, incremental delivery, continuous improvement and ability to cultivate a strong, generative team culture</p></li></ul><p></p><p>
Equal Opportunities, Inclusion &amp; Diversity We&rsquo;re committed to building a diverse and inclusive group of talent with a broad range of backgrounds, skills and capabilities and will give full and fair consideration to all applicants. We know that flexibility is key to success and our people work flexibly in many ways, so if this is important to you, please let us know. If you have a disability or any other additional need that requires consideration, accommodation or adjustment to the role or recruitment process, please do let us know.</p></div>

Engineering Lead / Principal

Hiscox

<div>
 <strong>
  Job Type
  <br/>
  <br/>
 </strong>
 Permanent
 <br/>
 <br/>
 <strong>
  Build a brilliant future with Hiscox
  <br/>
  <br/>
 </strong>
 <strong>
  Principal Machine Learning Engineer
  <br/>
  <br/>
 </strong>
 <strong>
  Location:
 </strong>
 London/York
 <br/>
 <br/>
 <strong>
  Why Hiscox London Market
  <br/>
  <br/>
 </strong>
 Hiscox London Market sits at the centre of global specialist insurance, tackling some of the most complex and unusual risks in the world. These are not commoditised problems, they demand deep expertise, strong judgement, and increasingly, sophisticated data and machine learning capabilities.
 <br/>
 <br/>
 We have a strong track record of putting AI into real production use, from augmenting underwriting decisions to shaping future market standards through partnerships and market‑first innovation. This is an environment where advanced ML systems are expected to operate reliably, safely, and at scale, not remain in experimentation.
 <br/>
 <br/>
 You&rsquo;ll join a culture that values technical excellence, ownership, and courage, where senior individual contributors are trusted to set direction, challenge thinking, and build platforms that matter. For a Principal Machine Learning Engineer, this is a chance to work on high‑impact ML systems, influence how AI is adopted across the London Market, and help shape the future of insurance.
 <br/>
 <br/>
 <strong>
  Role Purpose
  <br/>
  <br/>
 </strong>
 As a
 <strong>
  Principal Machine Learning Engineer (MLE)
 </strong>
 , you bring a wealth of experience in building, scaling, and operating production machine learning systems, and use that experience to provide deep technical leadership across machine learning engineering and MLOps.
 <br/>
 <br/>
 You play a key role in shaping the architectural strategy for production ML systems and the ML Platform, working closely with Data Science, Engineering, and Platform teams to define patterns, standards, and tooling that enable reliable, repeatable delivery at scale. Through hands‑on contribution, design leadership, and technical mentorship, you help teams navigate complex technical decisions and build robust, maintainable systems.
 <br/>
 <br/>
 A central focus of the role is enabling the organisation to move quickly without sacrificing quality, evolving the ML platform, supporting the transition from experimentation to production, and helping teams adopt modern engineering practices. This includes championing the effective and responsible use of AI‑assisted development tools as part of a broader approach to improving developer experience, system quality, and long‑term sustainability.
 <br/>
 <br/>
 Success in this role comes from the practical application of deep experience, strong architectural thinking, and the ability to help others build better systems that deliver real business value.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <strong>
  Technical Leadership &amp; Ownership (Individual Contributor)
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Act as the technical lead for Machine Learning Engineering and MLOps across London Market.
  </li>
  <li>
   Technically lead the most complex and business‑critical ML systems, from architectural design through to production operation.
  </li>
  <li>
   Define and evolve production ML patterns and best practices, covering deployment, orchestration, monitoring, retraining, and decommissioning.
  </li>
  <li>
   Lead deep technical decision‑making, balancing scalability, reliability, security, and developer experience.
  </li>
  <li>
   Contribute hands‑on to critical systems, frameworks, and platform components where the complexity or impact demands it.
  </li>
  <li>
   Define best practices and guardrails for the use of AI‑assisted coding tools, ensuring they are used to improve productivity and code quality without compromising maintainability or operational safety.
  </li>
  <li>
   Lead by example in applying AI‑assisted development techniques (e.g. for prototyping, refactoring, and accelerating complex engineering work) with strong engineering judgement.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  ML Platform Strategy &amp; Build‑Out
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Partner closely with Group and Platform teams to design, build, and evolve the ML Platform, ensuring it supports:
  </li>
  <ul>
   <li>
    Reusable and scalable deployment patterns
   </li>
   <li>
    CI/CD for machine learning
   </li>
   <li>
    Full model lifecycle management
   </li>
   <li>
    Monitoring, observability, and alerting
   </li>
   <li>
    Secure and compliant operation
   </li>
  </ul>
  <li>
   Shape platform standards and interfaces that enable consistent ML delivery across squads and value streams.
  </li>
  <li>
   Lead technical spikes and proof‑of‑concepts to evaluate new tools, approaches, and architectural patterns.
  </li>
  <li>
   Influence developer tooling choices so that AI‑assisted coding tools integrate safely with CI/CD, testing, and governance workflows.
  </li>
  <li>
   Ensure the platform enables fast, safe experimentation while supporting robust, long‑lived production systems.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Governance, Reliability &amp; Commercial Impact
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Ensure ML systems meet architecture, security, compliance, and operational standards.
  </li>
  <li>
   Define and implement robust frameworks for monitoring technical health, model performance, and commercial impact of ML systems in production.
  </li>
  <li>
   Champion operational excellence across ML services, including monitoring, alerting, incident management, and post‑incident learning.
  </li>
  <li>
   Ensure clear ownership and lifecycle management for models and ML‑backed services.
  </li>
  <li>
   Promote responsible use of automation and AI‑assisted tooling in safety‑critical or regulated contexts.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Collaboration &amp; Influence
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work closely with the Data Science team to ensure a smooth and repeatable transition from experimentation to production.
  </li>
  <li>
   Collaborate with software engineers, product managers, and business stakeholders to deliver end‑to‑end ML‑driven solutions.
  </li>
  <li>
   Act as a senior technical voice in design reviews, architecture forums, and strategic discussions.
  </li>
  <li>
   Influence technical direction and standards through expertise, credibility, and collaboration rather than line management.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Technical Mentorship &amp; Capability Development
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Provide hands‑on technical mentorship to Machine Learning Engineers and Data Scientists.
  </li>
  <li>
   Raise engineering standards by sharing best practices, patterns, and lessons learned from real production systems.
  </li>
  <li>
   Coach teams on the effective and critical use of AI‑assisted coding tools, reinforcing the importance of code review discipline, testing, and long‑term maintainability.
  </li>
  <li>
   Contribute to technical hiring, assessment, and onboarding from a senior engineering perspective.
  </li>
  <li>
   Help shape long‑term capability by identifying gaps in tooling, skills, and platform maturity.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You&rsquo;ll Bring
  <br/>
  <br/>
 </strong>
 <strong>
  Experience &amp; Background
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or a related quantitative field (or equivalent experience).
  </li>
  <li>
   Extensive experience as a senior or principal Machine Learning Engineer delivering production ML systems at scale.
  </li>
  <li>
   Proven track record of owning or shaping ML platforms, MLOps frameworks, or critical ML infrastructure.
  </li>
  <li>
   Experience operating in complex, cross‑functional environments (insurance or financial services experience is advantageous but not essential).
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Technical Expertise
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Exceptional Python skills in a machine learning engineering context, with strong software engineering fundamentals (OOP, testing, design patterns).
  </li>
  <li>
   Deep experience building, deploying, and operating production ML systems, including:
  </li>
  <ul>
   <li>
    Online and batch model serving
   </li>
   <li>
    Monitoring, alerting, and observability
   </li>
   <li>
    Retraining and lifecycle management
   </li>
  </ul>
  <li>
   Strong understanding of core data science concepts, sufficient to:
  </li>
  <ul>
   <li>
    Review and challenge modelling approaches
   </li>
   <li>
    Ensure models are production‑ready and correctly evaluated
   </li>
  </ul>
  <li>
   Hands‑on experience with a major cloud platform (AWS, GCP, or Azure), including containerised deployments.
  </li>
  <li>
   Expert knowledge of MLOps and CI/CD, including:
  </li>
  <ul>
   <li>
    Git‑based workflows
   </li>
   <li>
    Infrastructure as Code (e.g. Terraform)
   </li>
   <li>
    Automated testing and deployment pipelines
   </li>
  </ul>
  <li>
   Strong operational mindset, including APIs, logging, monitoring, reliability, and incident response.
  </li>
  <li>
   Working knowledge of SQL and integration of ML services into wider data and application ecosystems.
  </li>
  <li>
   Experience using AI‑assisted coding tools in a production engineering context, with a clear understanding of their benefits, limitations, and risks.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Join Us?
  <br/>
  <br/>
 </strong>
 This is an opportunity to shape the future of machine learning engineering at Hiscox, build a high-performing sub-chapter, and influence strategic decisions, while staying close to the craft you love. You&rsquo;ll have the autonomy to set standards, mentor talent, and explore emerging technologies, all within a collaborative and forward-thinking environment.
 <br/>
 <br/>
 <em>
  Work with amazing people and be part of a unique culture
 </em>
</div>


Principal Machine Learning Engineer

<div><div><p><b>Location</b>: London</p>
<p><b>
Office requirement </b>: 2 days in the office - Significant travel required</p>
<p><b>
Employment type</b>: Permanent</p>
<b>
Seniority level</b>: Principal</div><br>
<p></p>
<p>
At GWI we're always looking for extraordinary people who thrive on making an extraordinary impact. Right now we're looking for an <b>Forward Deployed Engineer</b> to play a key role in our <b>Solutions Consultants Team</b> in London. If that's you, and making a difference gets you out of bed in the morning, keep reading. It could be the start of something, well, extraordinary.</p><br>
<p></p>
<h1 class="jobSectionHeader"><b>
Sounds great, what will I be doing?</b></h1>
<p>
As our Lead / Principal Forward Deployed Engineer you'll be embedded directly with our most strategic accounts, owning the end-to-end technical deployment of our agentic AI platform. This isn't a support role, and it isn't a solutions consultant with a fancy title &mdash; you'll write production code, own technical outcomes, and be the reason our biggest customers succeed and expand. You'll operate with the autonomy of a founding engineer and the commercial instinct of a GTM leader.</p><br>
<div>
<p>A few things you'll be responsible for:</p>
<p>
 Embed with our Tier 1 enterprise accounts and own end-to-end deployments of our agentic AI platform &mdash; from discovery through to production, including bespoke integrations, data pipelines, and workflow automations.</p>
<p>
 Lead AI agents into production in complex environments (legacy systems, security, compliance), turning cutting-edge capability into measurable business outcomes.</p>
<p>
 Partner with Enterprise AEs in late-stage sales cycles &mdash; leading proof-of-concept builds and assessing technical readiness to de-risk and accelerate the close.</p>
<p>
 Surface patterns from the field and feed them back to product and engineering, acting as the bridge between customer reality and roadmap.</p>
<p>
 Build out the FDE practice as it scales: repeatable deployment playbooks, success metrics, and mentoring mid-level FDEs.</p>
<p>
It's also fun; shaking things up is what working for GWI is all about. You'll need to be flexible, comfortable with continuous change, and working in a high-tempo environment.</p></div><br>
<p></p>
<h1 class="jobSectionHeader"><b>
What do I need to bring with me?</b></h1>
<p>
You'll need to be able to demonstrate the core skills this role requires. You don't have to tick all the boxes right away; the important thing is that you're willing to learn.
<br>
Here's what the team will be looking for in you:</p>
<p>
 Significant experience in software engineering, solutions engineering, or a customer-facing technical role &mdash; with meaningful time spent shipping production code in complex enterprise environments.</p>
<p>
 Demonstrable experience deploying AI or data-heavy products into large organisations &mdash; real production deployments, not just POCs.</p>
<p>
 Strong full-stack or backend engineering fundamentals: Python essential, plus comfort across APIs, SQL, cloud infrastructure (AWS/GCP/Azure), and data pipelines.</p>
<p>
 The ability to work through ambiguity and turn it into a concrete technical plan.</p>
<p>
 Clear communication across technical and business audiences &mdash; you can tailor the same idea for an engineering lead and a commercial stakeholder.</p>
<p>
 Willingness to travel to client sites across the UK and Europe (approximately 30&ndash;50% of the time).</p><br>
<p></p>
<p>
Nice to have:</p>
<p>
 Hands-on experience with LLM deployment, AI agents, or agentic workflow automation.</p>
<p>
 A background in a high-growth B2B SaaS or AI-native company.</p>
<p>
 Experience in one or more of GWI's core verticals: financial services, media &amp; agencies, consumer goods, or technology.</p>
<p>
 Prior experience in an FDE, solutions architect, or technical account management function at a company with a named-account enterprise motion.</p><br>
<p></p>
<p>
Equally important is attitude. We want people who think big (to make an impact), ask why (to find a better way), and show respect (to everyone, at every level, all the time). Those are our values, and they're a big part of what we're looking for in you.</p>
<h1 class="jobSectionHeader"><b>
What's in it for me?</b></h1>
<p>
At GWI, you'll find meaningful work, visible impact, and a culture that empowers you to do your best. Our package includes:</p>
<p>
 Time to recharge &ndash; 25 days' annual leave, plus office closures over the holidays.</p>
<p>
 Health &amp; wellbeing &ndash; Health cash plan, enhanced family benefits, carer days, and mental health support.</p>
<p>
 Financial benefits &ndash; Competitive salary, 4% pension matching, and recognition programs that celebrate success.</p>
<p>
 Flexibility &amp; balance &ndash; Flexitime, early Friday finishes, hybrid and remote options, plus a &quot;work from home&quot; budget.</p>
<p>
 Career growth &ndash; Accredited learning, leadership development, and global career mobility.</p>
<p>
 Community &amp; impact &ndash; DE&amp;I initiatives, volunteering opportunities, donation matching, and payroll giving.</p><br>
<p></p>
<p>
Put all that together and GWI is the friendliest, most fulfilling place any of us has ever worked.</p><br>
<p></p>
<h1 class="jobSectionHeader"><b>
Diversity, Equity &amp; Inclusion</b></h1>
<p>
Diversity is fundamental to who we are&mdash;both as a data company and as a workplace. Our data reflects global realities, and so must our teams. We strive to ensure our workforce is as diverse and inclusive as the insights we provide to our clients.</p>
<p>
As a Disability Confident employer, we welcome applications from disabled candidates and are committed to providing all necessary adjustments during the hiring process. We also actively encourage applications from underrepresented and marginalized communities.</p>
<p>
At GWI, you will find a place where you can contribute meaningfully, grow professionally, and belong fully.</p><br>
<p></p>
<p></p>
<p>#li-hybrid<br>
#LI-NIKOSSS1</p></div>

Forward Deployed Engineer

<div><div><div><p><b>Entity:
</b></p>Technology<p><b><br>
Job Family Group:
</b></p>IT&amp;S Group<p><b><br>
Job Description:
</b></p><p>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.</p><p></p><p>
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.</p><p></p><p><b>
Key Accountabilities</b></p><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><p></p><p>
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.</p><p></p><h1 class="jobSectionHeader"><b>
What you will bring...</b></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><p></p><p><b>
Desirable Criteria</b></p><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><p></p><h1 class="jobSectionHeader"><b>
Why join us?</b></h1><p></p><p>
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.</p><p></p><p>
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.</p><p></p><p><b>
Apply now!</b></p><p></p><p><b>
Location</b></p><p>
Please note that while this position can be based in our Sunbury office, this will move to Southwark, London by end 2027.</p><p><b><br>
Travel Requirement</b></p>
Negligible travel should be expected with this role<p><b><br>
Relocation Assistance:</b></p>
This role is not eligible for relocation<p><b><br>
Remote Type:</b></p>
This position is a hybrid of office/remote working<p><b><br>
Skills:</b></p>
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}<p><b><br>
Legal Disclaimer:</b></p><p></p><p>
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.<br>
<br>
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.</p></div>
<div><p><b>Legal Disclaimer:</b></p>
<p>
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.</p>
<p>
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.</p></div>
</div><div>Expand job description</div></div>
<br><div><div><p>Disclaimer</p><br>
<p></p>
<p>
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.</p></div></div>

Principal Platform Engineer

Plentific

<div>
 <p>
  <strong>
   About Us
  </strong>
 </p>
 <p>
  At Plentific, we&rsquo;re redefining property management in real time. Our mission, is to lead real estate through the transformative journey into &ldquo;The World of Now,&rdquo; enabling us to empower property professionals through our innovative, cloud-based platform.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We harness cutting-edge technology and data-driven insights to streamline operations for landlords, letting agents, and property managers, enabling them to optimize maintenance, manage repairs, and make informed decisions instantly. Our platform is designed to create seamless, real-time workflows that transform traditional property management into a dynamic, digital experience.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Backed by a world-class group of investors, including Noa, Highland Europe, Brookfields, Mubadala, RXR Digital Ventures, and Target Global, Plentific is at the forefront of the proptech revolution. Headquartered in London with a global outlook, we&rsquo;re continually expanding our reach and impact.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We&rsquo;re looking for forward-thinking, passionate professionals who are ready to contribute to our mission and drive industry innovation. If you&rsquo;re excited about making an immediate impact and shaping the future of property management, explore career opportunities with us at Plentific.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   The Role
  </strong>
 </p>
 <p>
  We are looking for a
  <strong>
   Tech Lead - Data Engineering to serve as the primary architect and owner of our data platform. Reporting to the Head of Engineering, you will own the end-to-end technical direction of our data ecosystem and act as the most senior individual contributor in this domain.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  This role sits at the intersection of data engineering and system design. You will define how data is ingested, modelled, stored, transformed, and exposed across the company, with an emphasis on robust pipelines, clear data contracts, and reliable operation at scale.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for someone who goes beyond building pipelines and focuses on designing durable, well-architected data systems. The large volumes of transactional data we generate form the foundation for machine learning and other AI-driven solutions that we are actively building and evolving. Your focus will be on designing and evolving data systems that are reliable, maintainable, and fit for long-term use, applying strong software engineering principles to how data is structured, integrated, and operated at scale.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Own the Data Platform:
   </strong>
   Take end-to-end ownership of the data platform, including ingestion, storage, transformation, and exposure layers. This includes setting technical direction and being accountable for system reliability, performance, and cost.
  </li>
  <li>
   <strong>
    System Architecture:
   </strong>
   Lead the design of distributed data systems, ensuring clean integration between backend services, external APIs, event streams, and data storage layers.
  </li>
  <li>
   <strong>
    ML-powered Product Enablement:
   </strong>
   Work closely with product and engineering teams to design and lead data foundations for machine-learning-powered product features, ensuring data quality, traceability, and production readiness.
  </li>
  <li>
   <strong>
    Data Modelling &amp; Strategy:
   </strong>
   Act as the lead architect for data models and contracts. Design schemas for both structured and unstructured data, balancing flexibility, performance, and long-term maintainability.
  </li>
  <li>
   <strong>
    Engineering Standards &amp; Artefacts:
   </strong>
   Set and uphold engineering standards across the data domain. Produce and maintain architecture diagrams, design documents, and Architecture Decision Records (ADRs). Champion best practices including version control, CI/CD, modular design, backwards compatibility, and automated testing.
  </li>
  <li>
   <strong>
    Pipeline &amp; ETL/ELT Design:
   </strong>
   Architect and implement high-scale, fault-tolerant data pipelines. Make deliberate trade-offs around latency, freshness, cost, and complexity, selecting fit-for-purpose tools rather than defaulting to trends.
  </li>
  <li>
   <strong>
    Hands-on Delivery:
   </strong>
   Spend a significant portion of your time building and maintaining core pipelines, schemas, and services in production. This is a hands-on role with direct responsibility for critical systems.
  </li>
  <li>
   <strong>
    Technical Leadership:
   </strong>
   Define the technical roadmap for data, perform deep code reviews, and mentor engineers on system design, SQL, and Python.
  </li>
  <li>
   <strong>
    Workflow Automation:
   </strong>
   Design and implement automated workflows (using tools such as n8n or custom Python services) to bridge operational gaps and reduce manual processes.
  </li>
  <li>
   <strong>
    Governance &amp; Security:
   </strong>
   Design enterprise-grade governance frameworks covering access control, data lineage, observability, and data integrity.
  </li>
  <li>
   <strong>
    Production Ownership:
   </strong>
   Be accountable for production incidents, data quality issues, and cost regressions within the data platform.
  </li>
  <li>
   <strong>
    <em>
     ML-powered Product Enablement:
    </em>
   </strong>
   <em>
    Work closely with product and engineering teams to design and lead data foundations for machine-learning-powered product features, ensuring data quality, traceability, and production readiness.
   </em>
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Experience and Qualifications
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    <em>
     Architectural Mindset:
    </em>
   </strong>
   <em>
    Proven experience as a Tech Lead, Principal Engineer, or System Architect designing and owning complex, distributed systems.
   </em>
  </li>
  <li>
   <strong>
    <em>
     Strong Software Engineering Foundations:
    </em>
   </strong>
   <em>
    A software-engineer-first mindset with deep experience in Python and production-grade engineering practices. Experience with libraries such as Pandas or Polars is expected, but architectural thinking matters more than specific tools.
   </em>
  </li>
  <li>
   <strong>
    <em>
     Machine Learning Exposure:
    </em>
   </strong>
   <em>
    Hands-on experience working with machine learning systems and tooling (e.g. Hugging Face, feature stores, model inference pipelines, or similar), with an emphasis on enabling ML in production rather than research experimentation.
   </em>
  </li>
  <li>
   <strong>
    <em>
     Database &amp; Storage Expertise:
    </em>
   </strong>
   <em>
    Advanced SQL skills and hands-on experience with modern cloud data warehouses (e.g. Snowflake or equivalent), alongside solutions for unstructured or semi-structured data.
   </em>
  </li>
  <li>
   <strong>
    <em>
     ETL/ELT &amp; Orchestration:
    </em>
   </strong>
   <em>
    Experience designing and operating modern data pipelines using tools such as dbt, Airflow, or equivalent orchestration and transformation frameworks.
   </em>
  </li>
  <li>
   <strong>
    <em>
     Engineering Rigor:
    </em>
   </strong>
   <em>
    Deep experience with Git-based workflows, CI/CD pipelines, automated testing, and maintaining long-lived systems in production.
   </em>
  </li>
  <li>
   <strong>
    <em>
     Engineering Judgement:
    </em>
   </strong>
   <em>
    Demonstrated ability to make and defend trade-offs&mdash;when to model data, when not to ingest data, and how to balance correctness, performance, and cost.
   </em>
  </li>
  <li>
   <strong>
    <em>
     Analytical Depth:
    </em>
   </strong>
   <em>
    Ability to interrogate and analyse data directly to validate system behaviour and ensure high levels of data quality.
   </em>
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Desirable
  </strong>
 </p>
 <ul>
  <li>
   <em>
    Experience with
   </em>
   <strong>
    <em>
     Analytics-as-Code
    </em>
   </strong>
   <em>
    platforms such as Looker/LookML.
   </em>
  </li>
  <li>
   <em>
    Experience building internal platforms that enable, rather than directly deliver, BI and reporting.
   </em>
  </li>
  <li>
   <em>
    Experience with automation platforms such as
   </em>
   <strong>
    <em>
     n8n
    </em>
   </strong>
   <em>
    for connecting operational systems.
   </em>
  </li>
  <li>
   <em>
    Experience designing systems for multimodal data (text, images, video, documents).
   </em>
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Benefits
  </strong>
 </p>
 <p>
  As you can see, we are quickly progressing with our ambitious plans and are eager to grow our team of doers to achieve our vision of managing over 2 million properties through our platform across various countries. You can help us shape the future of property management across the globe. Here&rsquo;s what we offer:
 </p>
 <ul>
  <li>
   A competitive compensation package
  </li>
  <li>
   25 days annual holiday + 1 additional day for every year served up to 5 years.
  </li>
  <li>
   Flexible working environment including the option to work abroad
  </li>
  <li>
   Private health care for you and immediate family members with discounted gym membership, optical, dental and private GP
  </li>
  <li>
   Enhanced parental leave
  </li>
  <li>
   Life insurance (4x salary)
  </li>
  <li>
   Employee assistance program
  </li>
  <li>
   Company volunteering day and charity salary sacrifice scheme
  </li>
  <li>
   Learning management system powered by Udemy
  </li>
  <li>
   Referral bonus and charity donation if someone you introduce joins the company
  </li>
  <li>
   Season ticket loan, Cycle to work, Electric vehicle and Techscheme programs
  </li>
  <li>
   Pension scheme
  </li>
  <li>
   Work abroad scheme
  </li>
  <li>
   Company-sponsored lunches, dinners and social gatherings
  </li>
  <li>
   Fully stocked kitchen with drinks, snacks, fruit, breakfast cereal etc.
  </li>
 </ul>
 <p>
  <br/>
 </p>
</div>


Senior Data Engineer

Principal Java Engineer

NatWest Group

<div><p>Closing date for applications: 03/07/2026</p>
<div>
<div><p>Location London, United Kingdom</p>
</div><div><p>Salary &pound;75,520 &ndash; &pound;113,280</p>
</div><div><p>Job typePermanent | Contract typeFull Time</p>
</div><div><div><p>Remote / On-site Hybrid</p>
<p></p><div><div><p>You&rsquo;ll spend some of your time at home, working with your team digitally. You&rsquo;ll also regularly work at your office or hub to collaborate with your colleagues.</p>
</div></div></div></div><div><div><p>Managerial / Technical Lead</p>
<p></p><div><div><p>This is a general indication and doesn&rsquo;t always reflect day-to-day responsibilities. Check the job description for full details.</p>
</div></div></div></div></div><p>#R-00278287</p><br>
<div></div>
<p></p><div>
</div><div><div><div><h2 class="jobSectionHeader"><b>Join our digital revolution in NatWest Digital X</b></h2>
<p>In everything we do, we work to one aim. To make digital experiences which are effortless and secure.</p>
<p>So we organise ourselves around three principles: engineer, protect, and operate. We engineer simple solutions, we protect our customers, and we operate smarter.</p>
</div></div><div></div><div><h2 class="jobSectionHeader"><b>Job description</b></h2>
<p>This role is based in the United Kingdom and as such all normal working days must be carried out in the United Kingdom.</p>
<p></p><div><p>Join us as a Software Engineer, Full Stack</p>
<p></p><ul><li>This is an opportunity for a technically minded individual to join us as a Software Engineer</li>
<li>You&rsquo;ll be designing, producing, testing and implementing working software, working across the lifecycle of the system</li>
<li>Hone your existing software engineering skills and advance your career in this critical role</li>
</ul><p></p><h2 class="jobSectionHeader"><b>What you'll do</b></h2>
<p></p><p>Working in a permanent feature team, you&rsquo;ll be developing knowledge of aspects of the associated platform across the disciplines of business, applications, data and infrastructure. You&rsquo;ll also be liaising with principal engineers, architects in the domain and other key stakeholders to understand how the platform works and how it supports business objectives.</p>
<p></p><p>You&rsquo;ll also be:</p>
<p></p><ul><li>Applying Agile methods to the development of software on the backlog</li>
<li>Producing resilient and long-lived software and acting flexibly to cope with future needs</li>
<li>Delivering intentional architecture and formulating emergent design through innovative ideas, experimentation and prototyping</li>
<li>Designing and developing software with a focus on the automation of build, test and deployment activities, using executable patterns</li>
</ul><p></p><h2 class="jobSectionHeader"><b>The skills you'll need</b></h2>
<p></p><p>We&rsquo;re looking for someone to join our high performance engineering team building our new real time banking platform. You&rsquo;ll bring strong experience of working with Continuous Deployment practices in production environments; You&rsquo;ll have experience building and operating services using Spring Boot in cloud native environments, with automation as a core engineering principle. You&rsquo;ll also bring front‑end experience using React, alongside familiarity with Node.js and Backend for Frontend (BFF) patterns.</p>
<p></p><p>You&rsquo;ll be comfortable designing and delivering robust, scalable and resilient systems, contributing to engineering standards and practices across the platform. Exposure to agentic coding practices where it adds value, would be hugely beneficial.</p>
<p></p><p>You'll also need:</p>
<p></p><ul><li>The ability to coach and mentor, with a passion for supporting and developing more junior colleagues</li>
<li>Experience building modern, responsive UIs with React and TypeScript, including use of shared component libraries and feature flags to support continuous delivery and progressive rollout</li>
<li>Strong understanding of accessibility and performance, with experience optimising across the stack such as React rendering patterns, API design, and frontend performance</li>
<li>Experience designing and building BFF services using Node.js such as Next.js, with a solid grounding in API and microservice design patterns and familiarity with Kafka and event driven architectures is advantageous</li>
<li>Experience working in empowered, autonomous teams where engineering excellence is aligned to product outcomes</li>
</ul></div><div>
</div></div></div><div><div><div><div><h2 class="jobSectionHeader"><b>Your benefits breakdown</b></h2>
<p>Here&rsquo;s a quick look at what your pay package and annual leave could look like if you get accepted for the role. We have a wide range of benefits to support you in your working life and beyond.</p>
<p>Please note, the presented benefits packages are based on the minimum base salary.</p>
<p>Tap each segment for details.</p>
</div><div><h3 class="jobSectionHeader"><b>Your pay package</b></h3>
<div><div><p>&pound;</p>
</div></div></div><p></p><div><div><h3 class="jobSectionHeader"><b>Your leave allowance</b></h3>
<div><p>30 days Annual leave You&rsquo;ll also have the opportunity to purchase up to 5 additional days off.</p> <p>3 days Volunteering Take time off to support the causes you&rsquo;re passionate about.</p> <p>3 days Training Take time to build the skills you need to grow your career.</p>
</div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Total rewards package</b></h3><br>
<p></p>
</div><div>
</div></div></div></div></div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Welcome to our Bishopsgate hub</b></h2>
<p>Based only a few minutes&rsquo; walk from Liverpool Street Station, the central location of this office makes working there incredibly convenient. Everything you need is close by, so you can run errands, go to the gym, and socialise with friends and colleagues before and after work.</p>
<p>Bishopsgate recently underwent a multi-year refurbishment programme to improve spaces and facilities as well as become more sustainable.</p>
</div></div></div></div></div></div><p></p><div><div><div><div><h3 class="jobSectionHeader"><b>Our tech stack</b></h3>
<p>Here&rsquo;s just some of the technologies we use.</p>
</div><div><h3 class="jobSectionHeader"><b>Front end</b></h3>
<div><ul><li>JavaScript</li>
<li>ReactJS</li>
<li>AngularJS</li>
</ul></div></div><div><h3 class="jobSectionHeader"><b>Back end</b></h3>
<div><ul><li>Python</li>
<li>Java</li>
<li>Microsoft Dynamics</li>
</ul></div></div><div><h3 class="jobSectionHeader"><b>DevOps</b></h3>
<div><ul><li>AWS</li>
<li>GitLab</li>
<li>Google Cloud Platform</li>
</ul></div></div><div><h3 class="jobSectionHeader"><b>Data</b></h3>
<div><ul><li>Kafka</li>
<li>Hadoop</li>
<li>PostgreSQL</li>
<li>Snowflake</li></ul></div></div></div></div></div></div>

Software Engineer, Full Stack

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