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principal data engineer Jobs in Manchester

principal data engineer

senior data engineer

data engineer (gcp)

data architect

NatWest Group

<div><div><div><p>Location Manchester, United Kingdom</p>
</div><div><p>Job typePermanent | Contract typeFull Time</p>
</div><div><div><p>Mostly Remote</p>
<p></p><div><div><p>You&rsquo;ll spend most of your time at home, working with your team digitally. You&rsquo;ll come into an office or hub at least twice a month 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-00284150</p><br>
<div></div>
<p></p><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 Lead Specialist Data Architect, People &amp; Other Functions Data Management</p>
<p></p><ul><li>We&rsquo;ll look to you to provide deep expertise to guide the development of complex architectures, including advising on process design, technology selection and integration approaches</li>
<li>You&rsquo;ll contribute to defining the overall architectural vision, strategy, principles, standards and patterns, aligning them with business objectives, and acting as a thought leader for the bank</li>
<li>This is a chance to actively contribute to the growth of the architecting capability and community across the bank, including thought leadership and sharing knowledge such as best practices, proven solutions and key learnings, and contributing to the community of practice</li>
<li>You&rsquo;ll mainly work from home, staying connected with your team digitally, and spend at least one day per week in the office</li>
</ul><p></p><p><b>What you'll do</b></p>
<p></p><p>As a Lead Specialist Data Architect, you&rsquo;ll be leading the definition of the strategic target architecture and roadmap for the People, Marketing, LG&amp;RA and Corporate Affairs functions, assuring it&rsquo;s aligned with the strategy and the bank&rsquo;s strategic target architecture.</p>
<p></p><p>You&rsquo;ll also be promoting and driving the adoption of the shared capabilities available by creating playbooks, educating stakeholders, and collaborating with peers on identifying use cases for adoption.</p>
<p></p><p>Your other key responsibilities will include:</p>
<p></p><ul><li>Leading the realisation of enterprise and solution architectures, working as part of development teams throughout the engineering development lifecycle</li>
<li>Providing technical guidance, resolving architectural impediments, and championing the adoption of architecture patterns and practices</li>
<li>Partnering and engaging with key stakeholders to define and evolve architectures that deliver business value</li>
<li>Promoting a DevOps mindset by working as part of development teams to embed architecture guidance in CI/CD pipelines</li>
<li>Leading with specialism subject matter expertise to assure the quality of solution architecture within delivery programmes of high architectural significance or high architectural risk</li>
<li>Identifying opportunities and threats to current and target architectures, escalating to the Architecture Council for consideration or decision making</li>
<li>Partnering with the Enterprise Data Transformation (EDT) programme and Function Data Product Factory teams to shape, support and govern the development of Data Products, ensuring alignment with enterprise architecture standards, data management policies and strategic objectives</li>
</ul><p></p><p><b>The skills you'll need</b></p>
<p></p><p>To make an impact with us, you&rsquo;ll need expert knowledge in an area of specialism, including a deep understanding of business use cases and emerging trends that drive organisational success. You&rsquo;ll also need expert knowledge of modern technologies such as Cloud, microservices and AI, along with agile architecture and DevOps practices.</p>
<p></p><p>You&rsquo;ll bring extensive experience of overseeing and assuring the quality of architecture designs, including conducting comprehensive architecture and design reviews to validate that solutions meet business needs and comply with architecture standards, with a focus on risk management and governance.</p>
<p></p><p>Furthermore, you&rsquo;ll need:</p>
<p></p><ul><li>Extensive experience of defining and developing strategic target architectures</li>
<li>High proficiency in engaging with partners from across the business to define architectures that deliver tangible business outcomes</li>
<li>Experience of leading collaborative decision-making processes, partnering with senior business and technology colleagues to articulate and evolve architectural direction while ensuring adherence to key architecture principles and alignment with strategic goals</li>
<li>Experience of identifying and advocating for strategic investment opportunities that enhance the organisation's architecture goals</li>
<li>Experience of crafting compelling business cases to influence senior stakeholders to secure investment for architecture initiatives</li>
<li>Extensive people capability development experience, including mentoring, supporting professional development, encouraging knowledge sharing across architecture teams and promoting best practices</li><br>
</ul></div><p></p><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>Tap each segment for details.</p>
</div><div><div><h3 class="jobSectionHeader"><b>Your pay package</b></h3>
<div><p>100% Base pay This is your base pay package that you take home every month.</p> <p>+10% Pension funding This is monthly funding paid towards your pension.</p> <p>up to +10% Benefit funding This is monthly funding paid towards a range of benefits you can choose from.</p>
</div></div></div><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 Spinningfields hub</b></h2>
<p>Spinningfields is Manchester&rsquo;s leading leisure, retail, and business district and home to some of the most incredible architecture, restaurants, flagship stores, and bars the city has to offer.</p>
<h3 class="jobSectionHeader"><b>Key facts:</b></h3>
<ul><li>Space for 1,345 colleagues from various teams across the bank</li>
<li>Our outdoor roof terrace has panoramic views of the city</li>
<li>Opened in 2023</li>
</ul></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>

Lead Specialist Data Architect

Speechify

<div><div><b>Mission</b></div>
<div>
<p>The mission of Speechify is to make sure that reading is never a barrier to learning.</p>
<p>
Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading &ndash; PDFs, books, Google Docs, news articles, websites &ndash; into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
</p><p>Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting &ndash; Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies</p>
</div>
<div><b>What You'll Do</b></div>
<div><ul><li>Lead the design, architecture, and development of native Windows desktop applications using Windows App SDK, WinUI (or related UI frameworks), C#, XAML, and &mdash; when needed &mdash; C++.</li>
<li>Define and enforce best-practices for Windows desktop development across the codebase: code architecture, performance, memory usage, responsive UI, cross-version compatibility (Windows 10/11+), and maintainability.</li>
<li>Drive accessibility efforts: integrate and validate support for accessibility APIs (e.g. Microsoft UI Automation or other relevant Windows accessibility frameworks), ensure UI controls, focus management, keyboard navigation, screen-reader support, and usability for users with disabilities.</li>
<li>Collaborate closely with product designers, UX researchers, QA, and other stakeholders to shape feature planning, UI/UX architecture, and long-term roadmap for the Windows platform.</li>
<li>Take ownership of full lifecycle of features: conception  design  implementation  testing  release  maintenance. Ensure quality, reliability, and consistency across releases.</li>
<li>Identify, diagnose, and resolve complex bugs, performance bottlenecks, memory leaks, rendering issues, or compatibility problems &mdash; and propose robust architectural or design solutions.</li>
</ul>
</div><div></div><div><b>An ideal candidate should have</b></div>
<p><b>
Required:</b></p>
<ul>
<li>3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML &mdash; and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).</li>
<li>Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.</li>
<li>Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.</li>
<li>Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.</li>
<li>Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).</li>
<li>Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.</li>
<li>Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.</li>
<li>A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.</li>
</ul>
<p><b>Preferred / Bonus:</b></p>
<ul>
<li>Experience with writing automated tests for UI &mdash; unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.</li>
<li>Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).</li>
<li>Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.</li>
<li>Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.</li>
<li>Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.</li>
<li>Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.</li>
</ul>
<p><b>What we offer</b></p>
<ul>
<li>A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.</li>
<li>A collaborative, flat-structure engineering culture &mdash; you are not just a coder, but a builder and a decision-maker.</li>
<li>Opportunities to lead &mdash; mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).</li>
<li>Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.</li>
<li>A purpose-driven mission: building software that's reliable, accessible, and user-centered &mdash; making a real difference for people.
</li></ul><p><b>Think you're a good fit for this job?</b></p>
<p>
Tell us more about yourself and why you're interested in the role when you apply.<br>
And don't forget to include links to your portfolio and LinkedIn.</p>
<p><b>
Not looking but know someone who would make a great fit?</b><br>
Refer them!</p>
<p><b>
Speechify is committed to a diverse and inclusive workplace.</b><br>
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.</p></div>

Senior Software Engineer, Windows/Desktop Applications - Manchester, United Kingdom

<div><p>The mission of Speechify is to make sure that reading is never a barrier to learning.</p>
<p>
Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading &ndash; PDFs, books, Google Docs, news articles, websites &ndash; into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
</p><p>Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting &ndash; Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.</p>
<p><b>
Overview</b></p>
<p>
We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.</p>
<p><b>
What You'll Do</b></p>
<ul>
<li>Be scrappy to find new sources of audio data and bring it into our ingestion pipeline</li>
<li>Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.</li>
<li>Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.</li>
<li>Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team's dataset roadmap to power Speechify's next-generation consumer and enterprise products.</li>
</ul>
<p><b>An Ideal Candidate Should Have</b></p>
<ul>
<li>BS/MS/PhD in Computer Science or a related field.</li>
<li>5+ years of industry experience in software development.</li>
<li>Proficiency with bash/Python scripting in Linux environments</li>
<li>Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)</li>
<li>Experience with web crawlers, large-scale data processing workflows is a plus</li>
<li>Ability to handle multiple tasks and adapt to changing priorities.</li>
<li>Strong communication skills, both written and verbal.</li>
</ul>
<p><b>What we offer</b></p>
<ul>
<li>A fast-growing environment where you can help shape the company and product.</li>
<li>An entrepreneurial-minded team that supports risk, intuition, and hustle.</li>
<li>A hands-off management approach so you can focus and do your best work.</li>
<li>An opportunity to make a big impact in a transformative industry.</li>
<li>Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.</li>
<li>Opportunity to work on a life-changing product that millions of people use.</li>
<li>Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.</li>
<li>Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.</li>
</ul>
<p><b>Think you're a good fit for this job?</b></p>
<p>
Tell us more about yourself and why you're interested in the role when you apply.
<br>
And don't forget to include links to your portfolio and LinkedIn.</p>
<p><b>
Not looking but know someone who would make a great fit?</b></p>
<p>
Refer them!</p>
<p><b>
Speechify is committed to a diverse and inclusive workplace.</b></p>
<p>
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.</p></div>

Software Engineer, Data Infrastructure & Acquisition - Manchester, United Kingdom

Ignite Insurance Systems

<div><div><p>At <b>Verisk </b><b>Ignite </b>, we build innovative technology solutions that help our customers make better decisions through data, analytics, and software. We are looking for a highly experienced <b>Senior </b><b>Back-End </b><b>Software </b><b>Engineer </b>to join our growing engineering team and play a key role in designing and delivering scalable, secure, and resilient software platforms.
</p><p>This is a senior technical position suited to an engineer with <b>10+ </b><b>years </b><b>of </b><b>commercial </b><b>software </b><b>development </b><b>experience </b>who is passionate about backend architecture, engineering excellence, and team development. You'll be responsible for leading complex technical initiatives, influencing architectural direction, and mentoring engineers across the organization.
</p><p>This role is an excellent opportunity for someone looking to take the next step toward a future <b>Principal </b><b>Engineer </b>position. Beyond hands-on development, you'll act as a technical leader, helping shape engineering standards, supporting the growth of other engineers, and driving the adoption of modern engineering practices, including AI-assisted software development.
</p><p>#LI-SD2 #LI-Hybrid</p></div></div>
<br><div><div><ul><li>Design, develop, and deliver complex back-end services, APIs, and distributed systems that power business-critical and customer-facing applications.
</li><li>Lead the technical delivery of strategic initiatives from concept through production deployment.
</li><li>Drive architectural decisions that improve scalability, maintainability, reliability, security, and performance.
</li><li>Champion the adoption of AI-assisted engineering practices, leveraging tools such as GitHub Copilot and agentic workflows throughout the software development lifecycle.
</li><li>Translate business requirements into technical solutions, estimates, and delivery plans.
</li><li>Design and implement robust APIs, microservices, and data-driven solutions.
</li><li>Identify and mitigate technical risks, dependencies, and delivery challenges.
</li><li>Conduct code reviews and design reviews to ensure high engineering standards across teams.
</li><li>Define and improve best practices for testing, observability, performance, reliability, and operational excellence.
</li><li>Investigate complex production issues and drive continuous improvement through root-cause analysis.
</li><li>Ensure solutions meet security, compliance, reliability, and performance requirements.
</li><li>Serve as a senior technical mentor for engineers across the organization, providing coaching, guidance, and hands-on support to accelerate individual and team growth.
</li><li>Partner with Engineering Managers and technical leaders to help develop engineering capability, career progression frameworks, and technical excellence initiatives.
</li><li>Lead by example in promoting a culture of collaboration, ownership, continuous improvement, and knowledge sharing.
</li>Create and maintain clear technical documentation.<br>
<li>
</li></ul><p></p><p><b>Technology environment
</b></p><div><ul><li>C# / .NET
</li><li>Microsoft Azure
</li><li>Kubernetes
</li><li>GitHub &amp; GitHub Actions
</li><li>SQL Server &amp; PostgreSQL
</li><li>REST APIs &amp; Microservices
</li><li>Event-Driven Architectures
</li><li>Grafana
</li><li>AI-assisted development tools, including GitHub Copilot</li></ul></div></div></div>
<br><div><div><div><div><div><div><div><div><div><div><div><div><div><p><b>Required
</b></p><ul><li><b>10+ </b><b>years </b><b>of </b><b>commercial </b><b>software </b><b>engineering </b><b>experience </b>, with a strong focus on back-end development.
</li><li>Expert-level proficiency in <b>C# </b><b>and </b><b>.NET </b>.
</li><li>Extensive experience designing, building, and supporting scalable APIs, services, and distributed systems.
</li><li>Proven experience delivering secure, resilient, high-performance software solutions in production environments.
</li><li>Strong understanding of software architecture, design patterns, and engineering best practices.
</li><li>Experience working with cloud platforms, ideally <b>Microsoft </b><b>Azure </b>.
</li><li>Strong experience with relational databases, data modelling, and query optimisation, ideally with <b>SQL </b><b>Server </b>and <b>PostgreSQL </b>.
</li><li>Solid knowledge of CI/CD pipelines, automated testing, and modern deployment approaches.
</li><li>Strong understanding of secure software development principles and application security.
</li><li>Demonstrated experience leading technical initiatives and influencing engineering direction.
</li><li>Significant experience mentoring and developing engineers at different stages of their careers.
</li><li>Strong communication skills with the ability to engage effectively with technical and non-technical stakeholders.
</li>Hands-on experience using AI-assisted development tools to improve software delivery, quality, and productivity.<br>
<li>
</li></ul><p><br>
<b>Nice to have:
</b></p><ul><li>Experience with Azure Service Bus, Kafka, or similar messaging technologies.
</li><li>Knowledge of Infrastructure as Code (IaC) and GitOps practices.
</li><li>Experience operating containerized workloads on Kubernetes.
</li><li>Exposure to front-end technologies such as TypeScript, Vue.js, or modern JavaScript frameworks.
</li>Experience implementing monitoring, observability, and operational tooling.<br>
<li>
</li></ul><p><br>
<b>What success looks like
</b></p><ul><li>Delivering scalable, secure, and resilient backend services that support Verisk Ignite's products and customers.
</li><li>Driving strategic architectural decisions that enable sustainable growth and long-term maintainability.
</li><li>Building high-performing engineering teams through mentoring, coaching, and technical leadership.
</li><li>Establishing and promoting engineering best practices across projects and teams.
</li><li>Improving development efficiency through thoughtful adoption of AI-assisted engineering practices.
</li><li>Raising the technical capability of the organization through knowledge sharing and leadership.
</li><li>Being recognized as a trusted technical leader with a clear path toward a future <b>Principal </b><b>Engineer </b>role.
</li><li>Balancing delivery speed with long-term quality, reliability, and scalability.</li></ul></div></div></div></div></div></div></div></div></div></div></div></div></div>
<br><p></p><div><p><b>Our People, Our Culture
</b></p><p>For more than 50 years, Verisk has helped property and casualty insurers make smarter decisions about risk through AI-powered risk modeling, advanced analytics, and technology solutions spanning the entire policy lifecycle. We are a leading strategic data, analytics, and technology partner to the global insurance industry, guided by core values of learning, caring, and results while maintaining the highest ethical standards as stewards of the industry's most comprehensive datasets. Learn more about Verisk and what we are doing within the insurance industry.
</p><p>For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work&reg; for outstanding workplace culture in the US, the fourth consecutive year in the UK, Spain, and India, and the second consecutive year in Poland. In addition, we&rsquo;ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World&rsquo;s Best Employer, testaments to the value we place on workplace culture.
</p><p><b>Our Culture </b>: Explore our inclusive, people-first culture that fosters innovation, collaboration, and belonging.
</p><p><b>Awards &amp; Recognition </b>: See why Verisk is consistently recognized as a Great Place to Work&trade; around the world.
</p><p><b>Our Businesses </b>: Learn about the diverse industries we serve &mdash; from insurance and energy to financial services and beyond.
</p><p><b>Life at Verisk </b>: Discover what it&rsquo;s like to work at Verisk through employee stories, team highlights, and culture moments.
</p><p><b>Careers at Verisk </b>: Join a global team of problem-solvers and innovators doing meaningful work that&rsquo;s shaping the future of industries. Whether you're just starting out or looking to take your career to the next level, Verisk offers growth, purpose, and a people-first culture
</p><p>Let&rsquo;s build something meaningful together!
</p><p>Verisk Analytics is an equal opportunity employer.
</p><p>All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk&rsquo;s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.
</p><p>At Verisk, we provide a competitive compensation package aligned with market benchmarks and individual experience, disclosed transparently in accordance with applicable pay transparency regulations. In addition to base salary, eligible roles may include a range of incentive opportunities designed based on market research and our internal grading structure.
</p><p>Our benefits portfolio varies by location; however, a typical package includes medical coverage, life insurance, pension plans, and paid time off in line with local labor laws.
</p><p>We also foster a work environment focused on well-being and career development. Additional perks may include wellness initiatives, fitness programs, and team-building activities.
</p><p>https://www.verisk.com/company/careers/
</p><p>Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine, or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.
</p><p>Verisk Employee Privacy Notice</p></div>

Senior Back-End Software Engineer

Kraken

<div><p>Help us use technology to make a big green dent in the universe!</p><p>
Kraken powers some of the most innovative global developments in energy.</p><p>
We create the technology that redefines utilities and unlocks a new energy system of the future. By optimising renewable generation, building a more intelligent grid, and empowering utilities to deliver an exceptional customer experience, our operating system is transforming the industry worldwide.</p><p>
It&rsquo;s an incredibly exciting time to work in energy. Join us on our mission to improve the lives of ONE BILLION humans within the decade and shape a cleaner, better future for everyone.</p><p>
AI is a key investment area for Kraken Technologies as we look to expand our existing capabilities. A crucial part of this is broadening the foundational infrastructure to enable teams across the organisation to use AI effectively to accelerate our mission.</p><p>
You&rsquo;ll work in the Agent Safety/Evals team, a new sub-team within AI Foundations. We build the shared platforms, harnesses, and guardrails that enable engineering and product teams to safely, reliably, and deterministically use machine learning and generative AI agents for internal systems and workflows across the business. This is a delivery-focused team that sits at the intersection of engineering and delivery, focusing on empowering our internal users.</p><p></p><p><b>
The Role</b></p><p>
We&rsquo;re hiring a Lead Software Engineer to head our newly formed Agent Safety/Evals team. As AI agents take on more autonomous tasks across Kraken's internal workflows, this role is critical to ensuring they do so securely and predictably.</p><p>
This is a leadership role focused on constraining our internally facing AI agents to an expected operation space and guaranteeing system reliability.
</p><p>You will define the technical strategy for how we evaluate models, enforce safety guardrails, and govern AI behavior across internal platforms, skills, and harnesses. You&rsquo;ll work closely with the broader AI Foundations team and engineers across Kraken to ensure that our push for rapid AI adoption in internal tooling never compromises on security, determinism, or quality.</p><p></p><p><b>
What you'll own</b></p><ul><li><p><b>
Lead the technical direction for internal agent safety:</b> Design and implement systems focused on the reliability, security, and determinism of LLMs and autonomous agents, constraining them strictly to expected operational spaces within our internal ecosystems.</p></li><li><p><b>
Build robust evaluation frameworks:</b> Develop scalable harnesses and evals tailored to internal workflows and skills. You will be responsible for asking the right types of questions about the quality and reproducibility of our evals, while engineering the systems to measure them robustly.</p></li><li><p><b>
Implement guardrails and governance: </b>Create and enforce pre- and post-generation guardrails, managing the overarching governance of AI models operating within internal tools and platforms.</p></li><li><p><b>
Drive AI security and observability: </b>Build out dedicated auth/permissions for internal AI agents, establish deep monitoring/observability pipelines, and define incident response protocols for AI-specific anomalies.</p></li><li><p><b>
Verification and Red Teaming: </b>Lead continuous verification efforts and red teaming exercises to proactively identify vulnerabilities, prompt injections, or unpredictable behaviours in our internal AI implementations.</p></li><li><p><b>
Operate in AWS: </b>Deploy, run, and support high-throughput, low-latency safety services for internal use cases; make sensible architecture/cost tradeoffs; partner effectively with platform/techops/security stakeholders.</p></li></ul><p></p><p><b>
 What you bring to the party</b></p><ul><li><p><b>
Strong technical leadership:</b> Proven experience leading technical initiatives or teams, capable of setting the technical vision for complex, ambiguous domains.</p></li><li><p><b>
Deep software engineering fundamentals:</b> Senior/advanced capability in designing secure components end-to-end, testing thoroughly, and reasoning heavily about system design, concurrency, and architecture tradeoffs. (Python preferred).</p></li><li><p><b>
Expertise in AI Evaluation and Safety:</b> A highly critical thinker who understands the nuances of LLM behavior. You must be comfortable interrogating the quality of AI outputs and deeply experienced in building harnesses to measure it reproducibly.</p></li><li><p><b>
Security and Governance mindset:</b> Experience with threat modeling, authentication, red teaming, or building guardrails for internal systems, tooling, or platforms.</p></li><li><p><b>
Cloud experience (AWS):</b> Comfortable running internal services, owning reliability/scalability, and collaborating with platform/techops/security partners.</p></li><li><p><b>
Excellent communication:</b> Able to synthesize complex safety and eval metrics into actionable insights for both technical and non-technical stakeholders.</p></li></ul><p></p><p><b>
What Success Looks Like</b></p><ul><li><p><b>
Confidence in Internal Tooling:</b> Engineers across Kraken can deploy new autonomous models, AI skills, and internal agents with total confidence, knowing they are bound by reliable safety guardrails and strict operational constraints within our internal ecosystems.</p></li><li><p><b>
High-Quality Internal Evals:</b> You have established a culture and infrastructure of robust, highly reproducible evaluation metrics that accurately reflect the real-world performance and safety of our internal-facing AI tooling and harnesses.</p></li><li><p><b>
Resilient Internal Infrastructure:</b> AI security, monitoring, and incident response are treated as first-class citizens, ensuring that any erratic agent behavior in our internal platforms is immediately caught and mitigated before it affects broader operations.</p></li><li><p><b>
Technical Leadership:</b> Strong collaboration across AI Foundations helps accelerate secure internal AI adoption; you are actively mentoring engineers and shaping the company's internal AI governance strategy.</p></li></ul><p></p><p><b>
️ Bonus points
</b></p><ul><li><p>Experience with specific LLM evaluation and safety frameworks (e.g., Inspect AI, Ragas, OpenAI Evals, NeMo Guardrails).</p></li><li><p>
Django experience and strong backend engineering patterns (security, performance, maintainability).</p></li><li><p>
Experience with Datadog for complex observability, tracing, and monitoring in AI environments.</p></li><li><p>
Familiarity with foundational AI engineering tooling like Pydantic AI, LiteLLM, or LangChain.</p></li></ul><p></p><p><i>
Are you ready for a career with us? We want to ensure you have the right tools and environment to unleash your potential. If you have any accommodation requests, please contact us at inclusion@kraken.tech. We&rsquo;ll do our best to tailor the experience to your needs so you can feel comfortable, confident and be at your best!</i></p><p><i>
Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we&rsquo;re looking for! At Kraken, we're creating a team of genuine, honest, empathetic people. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. We consider all applicants without regard to race, colour, religion, national origin, age, sex, gender identity or expression, sexual orientation, marital or veteran status, disability, or any other legally protected status.</i></p><ul><li>Our (i) Applicant and Candidate Privacy Notice and Artificial Intelligence (AI) Notice, (ii) Website Privacy Notice and (iii) Cookie Notice govern the collection and use of your personal data in connection with your application and use of our website. These policies explain how we handle your data and outline your rights under applicable laws, including, but not limited to, the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). Depending on your location, you may have the right to access, correct, or delete your information, object to processing, or withdraw consent. By applying, you acknowledge that you&rsquo;ve read, understood and consent to these terms</li></ul><p>
Please note that, in line with our current recruitment policy, we are unable to offer visa sponsorship for this position; applicants must have the right to work in the country that they're applying to, at the time of application.*</p></div>

Lead Software Engineer - Agent Safety

Hiiya

<div>
 <p>
  Hiiya are hiring
  <strong>
   MLOps Engineers in Manchester.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  And this is proper AI work not &ldquo;we bought everyone Copilot and now our website says we&rsquo;re AI-first.&rdquo;
 </p>
 <p>
  <br/>
 </p>
 <p>
  The company is a specialist MLOps consultancy working with clients to actually build, deploy and productionise machine learning systems.
 </p>
 <p>
  <br/>
 </p>
 <p>
  That means projects involving things like:
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Self-hosted LLMs and AI agents
  </li>
  <li>
   RAG systems
  </li>
  <li>
   Computer vision
  </li>
  <li>
   Model training and serving
  </li>
  <li>
   Experiment tracking
  </li>
  <li>
   Kubernetes
  </li>
  <li>
   Cloud infrastructure
  </li>
  <li>
   Open-source MLOps tooling
  </li>
  <li>
   Taking interesting prototypes and making them work properly in the real world
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  They&rsquo;ve worked across everything from startups and major organisations through to public sector and secure government environments.
 </p>
 <p>
  <br/>
 </p>
 <p>
  I&rsquo;m recruiting at two levels:
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Senior MLOps Engineer | &pound;65k to &pound;80k
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  This is primarily a hands-on engineering role.
 </p>
 <p>
  <br/>
 </p>
 <p>
  You&rsquo;ll be building production-grade ML systems in Python, deploying them into cloud environments, working with modern DevOps/MLOps tooling and dealing directly with customers.
 </p>
 <p>
  <br/>
 </p>
 <p>
  You don&rsquo;t necessarily need &ldquo;MLOps Engineer&rdquo; written on your current job title.
 </p>
 <p>
  <br/>
 </p>
 <p>
  You could come from ML Engineering, DevOps, Data Engineering or a similar background, provided you&rsquo;ve actually built and deployed ML software in production.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Lead MLOps Engineer | &pound;80k to &pound;100k
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Still technical &amp; writing code hands on.
 </p>
 <p>
  <br/>
 </p>
 <p>
  But you&rsquo;ll also take more ownership of projects, architecture and engineering standards, mentor other engineers, lead delivery and work directly with clients to figure out what they actually need.
 </p>
 <p>
  <br/>
 </p>
 <p>
  So they&rsquo;re looking for somebody who can explain a technical decision to an engineer, a customer and potentially somebody who thinks Kubernetes is a fitness class.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The wider environment is very engineering-led, they like open source &amp; they invest time into R&amp;D.
 </p>
 <p>
  <br/>
 </p>
 <p>
  They actively encourage engineers to experiment with new tools rather than waiting three years for Gartner to tell them it&rsquo;s safe.
 </p>
 <p>
  <br/>
 </p>
 <p>
  And some of the stuff they&rsquo;re building is genuinely interesting.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Important logistical bit before 400 people message me asking if it&rsquo;s remote:
  </strong>
 </p>
 <p>
  📍 Central Manchester
 </p>
 <p>
  🏢 Hybrid - 3 days per week in the office
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   The three office days are fixed.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  There&rsquo;s also an important eligibility requirement.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Some projects require UK Government
  <strong>
   SC security clearance
  </strong>
  , so you
  <strong>
   must have been continuously resident in the UK for at least the last 5 years
  </strong>
  .
 </p>
 <p>
  <br/>
 </p>
 <p>
  Unfortunately, that bit isn&rsquo;t negotiable either.
 </p>
 <p>
  <br/>
 </p>
 <p>
  If you&rsquo;re an ML Engineer, MLOps Engineer or DevOps-minded engineer who wants to spend more of your time building actual AI systems rather than putting &ldquo;AI enthusiast&rdquo; in your LinkedIn headline, what are you waiting for?
 </p>
</div>


Machine Learning Engineer

RedCompass Labs

<div>
 <p>
  <strong>
   AI Engineer
  </strong>
 </p>
 <p>
  Manchester, hybrid (60% office presence per year after onboarding period)
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About RedCompass Labs:
  </strong>
 </p>
 <p>
  RedCompass Labs are payments experts focused exclusively on payments modernization. Over the last 23 years, RedCompass Labs has delivered 500+ projects across the world&rsquo;s major payments schemes and platforms, including ISO 20022, SEPA, Swift, the Real-time Payments Network, and FedNow, ISO 20022 migrations, and FIS OPF, Finastra GPP, and ACI Worldwide.
 </p>
 <p>
  Its flagship Payments Expert Agent is an AI solution purpose-built for the full payments modernization software development lifecycle. Trained on decades of deep payments expertise and more than 30,000 curated documents, the agent is certified to SOC 2 Type II.
 </p>
 <p>
  RedCompass Labs supports clients from offices in London, Warsaw, Brussels, Miami, Boston, Toronto, and Pune. For more information, visit www.redcompasslabs.com.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Mission:
  </strong>
 </p>
 <p>
  Imagine reducing a 14-day financial analysis task to just 2 hours. At RedCompass Labs, we don't just imagine-we've built it.
 </p>
 <p>
  We're transforming the trillion-dollar payments industry through intelligent automation. At the heart of our mission is AnalystAccelerator.ai, our proprietary multi-agent AI platform built to accelerate complex analysis in global banking and compliance.
 </p>
 <p>
  We&rsquo;re seeking exceptional AI Engineers to join our foundational AI Engineering team. Your role: transform cutting-edge research and prototypes into robust, production-ready AI solutions. You'll tackle sophisticated challenges within a regulated, high-stakes environment, developing scalable AI that augments human expertise.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   As an AI Engineer, you would:
  </strong>
 </p>
 <p>
  You will take proven concepts from research and turn them into production-grade, client-facing AI solutions:
 </p>
 <ul>
  <li>
   <strong>
    Design, build, and scale
   </strong>
   sophisticated multi-agent workflows that automate complex financial analysis.
  </li>
  <li>
   <strong>
    Engineer robust Retrieval-Augmented Generation (RAG)
   </strong>
   pipelines leveraging financial rulebooks, regulatory documentation, and client knowledge bases.
  </li>
  <li>
   <strong>
    Develop secure, scalable backend services and APIs
   </strong>
   (primarily Python/FastAPI) deployed in Azure cloud environments.
  </li>
  <li>
   <strong>
    Implement and enhance MLOps and DevOps practices
   </strong>
   , using GitHub Actions, Azure DevOps pipelines, Docker containers, and Kubernetes orchestration.
  </li>
  <li>
   <strong>
    Collaborate closely
   </strong>
   with product managers, domain experts, and UX designers, converting complex business requirements into clear, impactful features.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Candidate Profile
  </strong>
  :
 </p>
 <p>
  We&rsquo;re seeking product-centric engineers who thrive on complex challenges, rapidly acquiring new technical skills, and delivering impactful
  <strong>
   AI solutions
  </strong>
  .
 </p>
 <ul>
  <li>
   <strong>
    4+ years
   </strong>
   of professional software engineering experience, with proven expertise developing and deploying production-grade systems.
  </li>
  <li>
   Experience
   <strong>
    in modern AI
   </strong>
   , agentic software development, and use of
   <strong>
    LLMs
   </strong>
   .
  </li>
  <li>
   Strong proficiency in either
   <strong>
    Python/Typescript
   </strong>
   .
  </li>
  <li>
   Understanding in embedding models,
   <strong>
    retrieval-based AI architectures (RAG)
   </strong>
   , and vector databases.
  </li>
  <li>
   Familiarity with cloud-native software development, containerization and orchestration technologies.
  </li>
  <li>
   Commitment to learning and leveraging new technologies and AI tools rapidly and effectively.
  </li>
  <li>
   A &lsquo;t-shaped&rsquo; engineering mindset, and a willingness to stretch into tasks such as automation testing, devops, data engineering when the work needs it.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Bonus Qualifications:
  </strong>
 </p>
 <ul>
  <li>
   Previous experience with multi-agent systems or complex workflow automation.
  </li>
  <li>
   Background in fintech, banking, payments, or compliance industries.
  </li>
  <li>
   Experience with high-performance API frameworks (FastAPI).
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Our Technology Ecosystem:
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Core AI &amp; LLMs: Python, LLM frameworks
   </strong>
   such as
   <strong>
    Autogen
   </strong>
   ,
   <strong>
    LangChain
   </strong>
   ,
   <strong>
    Pydantic-AI
   </strong>
   , etc.
  </li>
  <li>
   <strong>
    Retrieval-Augmented Generation (RAG) systems
   </strong>
   and
   <strong>
    MCP servers.
   </strong>
  </li>
  <li>
   <strong>
    Backend &amp; API Layer:
   </strong>
   FastAPI, RESTful APIs, Azure Cloud, NoSQL databases, Azure AI
   <strong>
    .
   </strong>
  </li>
  <li>
   <strong>
    Front-end
   </strong>
   :
   <strong>
   </strong>
   TypeScript and React
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What We Offer
  </strong>
 </p>
 <ul>
  <li>
   Work on
   <strong>
    high
   </strong>
   ‑
   <strong>
    impact financial technology projects
   </strong>
   that shape the future of payments and AI‑driven innovation
  </li>
  <li>
   Join a
   <strong>
    trust
   </strong>
   ‑
   <strong>
    based, transparent, and collaborative culture
   </strong>
   where your voice matters and ideas influence outcomes
  </li>
  <li>
   Enjoy
   <strong>
    real ownership and autonomy
   </strong>
   in how you approach challenges, deliver work, and grow your expertise
  </li>
  <li>
   Be part of a
   <strong>
    diverse and inclusive global team
   </strong>
   across Canada, the UK, Europe, and Asia, where fairness and meritocracy guide every decision
  </li>
  <li>
   Collaborate daily with
   <strong>
    senior industry experts and leaders
   </strong>
   , accelerating your professional development
  </li>
  <li>
   Experience a
   <strong>
    human, respectful, and well
   </strong>
   ‑
   <strong>
    structured recruitment and onboarding journey
   </strong>
   designed around clarity and mutual fit
  </li>
  <li>
   Grow through
   <strong>
    continuous learning
   </strong>
   , cross‑functional work, and exposure to both consulting and product‑building environments
  </li>
  <li>
   Join a company that values
   <strong>
    integrity, curiosity, and continuous improvement
   </strong>
   , and empowers you to make meaningful impact from day one.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Benefits:
  </strong>
 </p>
 <ul>
  <li>
   Up to 10% of annual earnings as a personal performance bonus
  </li>
  <li>
   Life insurance
  </li>
  <li>
   Group Income Protection
  </li>
  <li>
   Health Insurance for you and your family
  </li>
  <li>
   Dental Insurance for you and your family
  </li>
  <li>
   Pension: the pension is currently 4% employer and 4% employee. You also have the option to increase your contributions to your private pension, if you wish.
  </li>
  <li>
   28 days annual holiday plus Public &amp; Bank holidays
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <em>
   RedCompass Labs is committed to promoting and supporting a diverse and inclusive workplace, ensuring fair and equitable treatment for all. This fuels innovation and enables us to work better together with each other and for our clients.
  </em>
 </p>
</div>


Artificial Intelligence Engineer

Explore 9+ Data architect in Manchester this August. Find roles across top companies and apply now to boost your career.