software engineer

ai engineer

senior software engineer

platform engineer

senior platform engineer

principal systems engineer

Ignite Insurance Systems

<div>Build technology that helps the world&rsquo;s leading insurers make better decisions
At Verisk, we combine data, analytics, and technology to help businesses make informed decisions and solve complex challenges. Our solutions power some of the world's most recognized insurance organizations, helping them operate smarter, faster, and with greater confidence.
We're looking for a Principal Full Stack Engineer who enjoys solving complex technical problems, influencing architecture decisions, and building modern, scalable software that delivers real business impact. This is an opportunity to play a key role in shaping the future of our platform while working alongside experienced engineers in a collaborative and supportive environment.
If you're energized by technical leadership, modern cloud technologies, and building products at scale, we'd love to hear from you.</div>
 <div><ul><li>Lead the design and development of large-scale software solutions that support critical business capabilities
</li><li>Shape technical architecture and engineering standards across multiple products and teams
</li><li>Build modern, cloud-native applications using scalable and resilient design principles
</li><li>Contribute across the full technology stack, from user interfaces to APIs and backend services
</li><li>Mentor engineers and provide technical guidance on complex development initiatives
</li><li>Drive best practices in software quality, performance, security, and maintainability
</li><li>Collaborate closely with Product, Engineering, and Architecture teams to translate business needs into technical solutions
</li><li>Support continuous improvement through modern DevOps and Agile engineering practices</li></ul></div>
 <div>Must-haves
<ul><li>Degree in Computer Science, Software Engineering, or a related discipline
</li><li>Significant experience delivering software solutions at Principal Engineer level
</li><li>Strong expertise in TypeScript, JavaScript, and Angular or comparable modern front-end technologies
</li><li>Experience building backend services using Node.js or similar technologies
</li><li>Proven experience designing and developing complex distributed systems
</li><li>Deep understanding of software architecture, design patterns, and engineering best practices
</li><li>Experience working with cloud platforms such as Azure or AWS
</li><li>Experience developing and deploying microservices-based applications
</li><li>Strong understanding of high-availability, scalability, and performance optimization concepts
</li>Experience working within Agile software development environments 
<li>
</li></ul>Nice to have
<ul><li>Experience with Swift and the Vapor framework for server-side API development
</li><li>Experience building APIs with technologies such as C# or Java
</li><li>Experience with NoSQL databases including Couchbase or MongoDB
</li>Familiarity with CI/CD pipelines, Docker, Kubernetes, and modern DevOps practices 
<li>
</li></ul>Why join Verisk?
<ul><li>Work on challenging technical problems with real-world impact
</li><li>Help shape products used by leading organizations across the global insurance industry
</li><li>Influence architectural decisions and technology direction
</li><li>Collaborate with highly skilled engineers in a culture that values innovation and continuous learning
</li><li>Access opportunities for professional growth, technical leadership, and long-term career development
</li>Join a stable, global organization investing heavily in modern technology and platform transformation 
<li>
</li></ul>#LI-KS1#Hybrid</div>
 <div>Our People, Our Culture
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.
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.
Our Culture : Explore our inclusive, people-first culture that fosters innovation, collaboration, and belonging.
Awards &amp; Recognition : See why Verisk is consistently recognized as a Great Place to Work&trade; around the world.
Our Businesses : Learn about the diverse industries we serve &mdash; from insurance and energy to financial services and beyond.
Life at Verisk : Discover what it&rsquo;s like to work at Verisk through employee stories, team highlights, and culture moments.
Careers at Verisk : 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
Let&rsquo;s build something meaningful together!
Verisk Analytics is an equal opportunity employer.
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.
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.
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.
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.
https://www.verisk.com/company/careers/
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.
Verisk Employee Privacy Notice</div>

Principal Fullstack Engineer (Angular/Swift or similar)

Blue Yonder

<div><h2 class="jobSectionHeader">End-to-End Principal Architect - WMS</h2>
Job Profile Summary 
E2E Principal Architect is a self-driven associate who will lead the end-to-end implementation of large footprint Blue Yonder solutions for Warehouse Management Solutions starting with the overall architecture of the solution, partnering with all key stakeholders to drive the implementation of all the multiple business releases within the program, be the single point of contact for all customer business stakeholders on the overall solution footprint.<h3 class="jobSectionHeader">
Job Description</h3>
Overview
The End-to-End Principal Architect will work within the Consulting Services team at Blue Yonder to lead and manage the end-to-end solution design and implementation of Cognitive Execution Solutions, and Cognitive Warehouse Management Solutions for clients. The End-to-End Principal Architect will be responsible for ensuring project success by effectively communicating with clients, managing project timelines, and leading solution teams as part of a project. They will be accountable for the overall functional and technical designs, implementation and delivery of end-to-end solutions, and will work closely with the clients and the project teams to ensure that the solutions align with the client's business objectives and meet their requirements.
Our current technical environment
We leverage SaaS microservices and various Blue Yonder solutions and integrate with client solutions and landscapes.
What you will do:<ul><li>
Serve as the primary point of contact for clients throughout the project lifecycle</li><li>
Develop and manage project timelines and budgets</li><li>
Lead solution teams and ensure project deliverables meet client expectations</li><li>
Lead integration of the core product to develop solutions utilizing Platform</li><li>
Identify and manage project risks and issues</li><li>
Act as an internal consultant to other teams within Blue Yonder</li><li>
Design and implement end-to-end solutions based on client requirements and best practices</li><li>
Provide functional and technical guidance and mentorship to junior team members</li><li>
Continuously evaluate and improve solution processes and tools utilizing the latest technologies, i.e. Agentic AI, Machine Learning</li><li>
Work closely with the clients and other project teams to ensure that the solutions align with the client's business objectives and meet their technical requirements.</li><li>
Collaborate with the project managers, delivery partners, and other stakeholders to ensure that the solutions are delivered on-time, on-budget, and to the client's satisfaction.</li></ul>
What we are looking for (Team Specific Qualifications &amp; Education):<ul><li>
15 + years of experience in solution architecture and consulting or a related field</li><li>
Expertise in designing and implementing Blue Yonder (micro service based) Warehouse Management solutions</li><li>
Expertise in designing and implementing at least one other Execution solution &ndash; Warehouse Labour Management, Transportation Management, Order and/ or Returns Management</li><li>
Proven experience leading and managing solution projects</li><li>
Strong communication, interpersonal and presentation skills to be able to interact with customer at all levels, from CIO and Senior Supply Chain Leader downward.</li><li>
Ability to think strategically and solve complex problems</li><li>
Strong technical skills in one or more areas such as cloud infrastructure, software development, data engineering, and data analytics.</li><li>
Experience with project management tools and methodologies</li><li>
Strong ability to work in a fast-paced and dynamic environment</li><li>
Strong understanding of the software development life cycle and experience with Agile methodologies.</li><li>
Experience working with Supply Chain, logistics, retail and manufacturing industries would be a plus.</li></ul>
Our Values 
If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success &ndash; and the success of our customers. Does your heart beat like ours? Find out here: Core Values
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.</div>

Principal Architect (E2E) - WMS

Oliver Bernard

<div>
 
 🚀
 
 Staff AI Engineer | Stealth Mode AI Start-up | London | Up to &pound;200k
 
 
 
 
 
 
 Oliver Bernard have partnered with a
 
 stealth-mode start-up in the AI &amp; Research space
 
 , who are looking for a Staff AI Engineer to join the team and work on some genuinely challenging problems across LLMs, reinforcement learning and agentic systems.
 
 
 
 
 
 This is a hands-on research + engineering role, where you&rsquo;ll be involved in:
 
 
 
 
 
 🧠
 
 LLM training &amp; fine-tuning
 
 &ndash; including reinforcement learning and post-training
 
 
 🔄
 
 Evaluation &amp; feedback loops
 
 &ndash; building systems to continuously assess and optimise models
 
 
 🤖
 
 Agent development
 
 &ndash; designing and building sophisticated AI agents
 
 
 🔬
 
 AI research
 
 &ndash; exploring LLM training, RL, evaluation and optimisation techniques
 
 
 💻
 
 Software engineering
 
 &ndash; applying strong engineering fundamentals to complex AI problems
 
 
 
 
 
 
 What they&rsquo;re looking for:
 
 
 
 
 
 <ul>
 <li>
 Strong experience working with
 
 LLMs and/or foundation models
 
 </li>
 <li>
 Deep experience with
 
 training, fine-tuning, RL or post-training
 
 </li>
 <li>
 Strong background in
 
 model evaluation and optimisation
 
 </li>
 <li>
 Experience building
 
 AI agents / agentic systems
 
 </li>
 <li>
 Excellent software engineering fundamentals
 </li>
 <li>
 A strong track record in
 
 AI research
 
 and solving technically complex problems
 </li>
 </ul>
 
 
 
 
 📍
 
 London &ndash; 2 days hybrid
 
 
 
 💰
 
 Up to &pound;200k
 
 
 
 
 
 
 If you&rsquo;re a
 
 Staff-level AI Engineer
 
 who wants to work at the intersection of
 
 cutting-edge research and production engineering, apply below for more information.
 
 
 
 
 
 
 
 London | Stealth | Staff AI Engineer
 
 
</div>

Staff AI Engineer - Stealth Start-up - London

La Fosse

<div>
 
 
 Senior AI Engineer
 
 
 <ul>
 <li>
 
 Paying up to &pound;110,000 + 10 % Bonus
 
 </li>
 <li>
 
 Hybrid working &ndash; Central London (1 day per week)
 
 </li>
 <li>
 
 Leading FinTech Organisation
 
 </li>
 </ul>
 
 
 
 
 I'm partnering with a market-leading fintech business to hire a
 
 Senior AI Engineer
 
 into a high-impact AI Engineering team. This is an opportunity to lead the design and delivery of production-grade AI systems that are embedded into core business operations, helping shape how AI is adopted across the organisation.
 
 
 
 
 
 If you're passionate about LLMs, AI agents and building enterprise-scale AI solutions, this is a chance to own the technical direction and deliver AI products that create genuine business value.
 
 
 
 
 
 
 The Business
 
 
 <ul>
 <li>
 Leading fintech organisation with AI at the heart of its technology strategy.
 </li>
 <li>
 Significant investment into Generative AI, Machine Learning and cloud technologies.
 </li>
 <li>
 Collaborative engineering culture with a strong focus on innovation and technical excellence.
 </li>
 <li>
 Opportunity to influence AI strategy and shape the future of enterprise AI delivery.
 </li>
 <li>
 Modern technology environment with ambitious plans for AI adoption.
 </li>
 </ul>
 
 
 
 
 
 The Role
 
 
 <ul>
 <li>
 Build production-grade applications using LLMs and AI agents.
 </li>
 <li>
 Lead AI projects from concept through to deployment and adoption.
 </li>
 <li>
 Define engineering standards, reusable frameworks and best practices for AI development.
 </li>
 <li>
 Make key technical decisions across models, tooling, infrastructure and system design.
 </li>
 <li>
 Ensure AI solutions are scalable, secure, observable and production-ready.
 </li>
 </ul>
 
 
 
 
 
 What They're Looking For
 
 
 <ul>
 <li>
 Proven experience delivering production AI systems from design through to deployment.
 </li>
 <li>
 Strong expertise with Generative AI, LLMs and agentic AI architectures.
 </li>
 <li>
 Excellent software engineering skills across APIs, cloud platforms and distributed systems.
 </li>
 <li>
 Ability to influence engineering standards across multiple teams.
 </li>
 <li>
 Experience with AI platforms, LLMOps or MLOps would be highly beneficial.
 </li>
 <li>
 Background delivering AI solutions within enterprise or regulated environments is desirable.
 </li>
 </ul>
 
 
 
 
 This is an outstanding opportunity to join a business making significant investment in AI, where you'll play a pivotal role in defining technical strategy, building enterprise-scale AI solutions and driving innovation across the organisation.
 
 
 
 
 
 If you feel like you would be a good match, please apply with your CV to find out more.
 
 
 
 
 
 
 Senior AI Engineer
 
 
</div>

Senior AI Engineer

Arrows

<div>
 
 
 Forward Deployed Engineer | Applied AI Systems
 
 
 
 
 
 
 I am partnering with a early-stage aviation AI business building
 
 deeply integrated, real-world systems
 
 . Their platform is bespoke, embedding directly into customer environments to
 
 solve real workflow challenges
 
 through AI and data-driven solutions.
 
 
 
 
 
 Backed by
 
 Y-Combinator
 
 and already working with some of the
 
 world's largest brands in their sector
 
 , the company is now scaling its
 
 Forward Deployed Engineer
 
 team to work closely with customers, owning end-to-end delivery of high-impact systems in production.
 
 
 
 
 
 
 Responsibility:
 
 
 
 &bull; Working
 
 directly with customers
 
 
 
 &bull;
 
 Leading integrations
 
 and onboarding across complex technical environments
 
 
 &bull; Rapidly prototyping and
 
 deploying solutions
 
 in live production settings
 
 
 &bull; Translating real-world problems into
 
 scalable AI and engineering solutions
 
 
 
 
 
 
 
 Experience:
 
 
 
 &bull; Strong engineering fundamentals with
 
 hands-on experience building
 
 production systems
 
 
 &bull; Background in AI, data, systems, or product engineering
 
 
 &bull; Comfortable operating in
 
 fast-paced
 
 environments
 
 
 &bull; Experience in
 
 customer-facing
 
 or highly applied engineering roles
 
 
 &bull; Strong programming skills (Python, TypeScript preferred)
 
 
 
 
 
 
 Key responsibilities:
 
 
 
 &bull; Own delivery of customer deployments
 
 
 &bull; Build and iterate on
 
 bespoke integrations
 
 
 
 &bull; Work on-site with users
 
 
 &bull; Collaborate across
 
 engineering and product
 
 to deliver high-impact solutions
 
 
 &bull; Operate with
 
 high ownership in a fast-moving
 
 , early-stage environment
 
 
 
 
 
 
 On offer:
 
 
 
 &bull; High-ownership role within a small, high-calibre team
 
 
 &bull; Opportunity to work directly with customers and build in real-world environments
 
 
 &bull; Significant travel across global customer sites (US &amp; Europe)
 
 
 &bull; Salary up to &pound;140,000 plus substantial equity options
 
 
 &bull; Fast-paced, high-impact environment with direct exposure to leadership
 
 
 
 
 
 If this aligns with your background or interests, feel free to get in touch directly.
 
</div>

Software Engineer

Findrs

<div>
 
 Forward Deployed Engineer | AI
 
 
 
 
 
 You can write good software.
 
 
 
 
 
 But can you walk into a business, understand a problem that nobody has properly defined yet, work out where AI can genuinely make a difference, and then build the thing?
 
 
 
 
 
 Because that&rsquo;s what this role is really about.
 
 
 
 
 
 You&rsquo;ll join a fast-growing AI engineering company that embeds small technical teams directly inside its clients.
 
 
 
 
 
 You won&rsquo;t spend months working from a perfectly written product specification.
 
 
 
 
 
 Instead, you&rsquo;ll sit close to founders, operators and senior stakeholders, understand how their business actually works, identify where technology can create leverage, and turn ambiguous problems into production AI systems.
 
 
 
 
 
 You&rsquo;ll own the outcome from beginning to end.
 
 
 
 
 
 
 What will you actually be doing?
 
 
 
 
 
 
 You&rsquo;ll act as the technical lead on client projects.
 
 
 
 
 
 That means you could be:
 
 <ul>
 <li>
 Sitting with a founder trying to understand why a critical internal workflow takes three days.
 </li>
 <li>
 Working out whether AI is actually the right answer.
 </li>
 <li>
 Designing the architecture for a new system.
 </li>
 <li>
 Building integrations, evaluations and deployment infrastructure.
 </li>
 <li>
 Shipping an initial version quickly.
 </li>
 <li>
 Watching how real users interact with it.
 </li>
 <li>
 Iterating until it genuinely solves the problem.
 </li>
 </ul>
 
 
 
 
 You&rsquo;ll be expected to move comfortably between engineering and communication.
 
 
 One minute you might be deep in the codebase.
 
 
 
 
 
 The next, you&rsquo;ll be explaining to a non-technical stakeholder what you&rsquo;ve built, why you&rsquo;ve built it that way, and what needs to happen next.
 
 
 
 
 
 You won&rsquo;t simply receive tickets.
 
 
 
 
 
 You&rsquo;ll help decide what the tickets should be.
 
 
 
 
 
 
 This could suit you if&hellip;
 
 
 
 
 
 
 You&rsquo;re an engineer who likes building things more than talking about building things.
 
 
 
 
 
 You&rsquo;re already experimenting with frontier AI models and tooling because you&rsquo;re genuinely curious about what they can do.
 
 
 
 
 
 You understand that models are powerful, but you also understand their limitations.
 
 
 
 
 
 You probably have side projects, prototypes, products or experiments sitting in your GitHub that nobody asked you to build.
 
 
 
 
 
 You enjoy starting with a blank page.
 
 
 
 
 
 You&rsquo;re comfortable making decisions without having every requirement defined for you.
 
 
 
 
 
 And importantly, you can talk to people.
 
 
 
 
 
 You don&rsquo;t need a Product Manager translating every conversation between you and the client.
 
 
 
 
 
 You&rsquo;re happy sitting in a room with founders or senior operators, asking intelligent questions and turning what you hear into something that works.
 
 
 
 
 
 
 Your background
 
 
 
 You&rsquo;ll need a strong grounding in software engineering and be comfortable operating across the full development lifecycle.
 
 
 You might already be an AI Engineer, Software Engineer, Founding Engineer, Solutions Engineer or Forward Deployed Engineer.
 
 
 Your exact title matters less than what you&rsquo;ve actually built.
 
 
 Having created something yourself is a major advantage.
 
 
 
 That could be:
 
 
 <ul>
 <li>
 A startup.
 </li>
 <li>
 A software product.
 </li>
 <li>
 An AI model or application.
 </li>
 <li>
 A consultancy.
 </li>
 <li>
 An open-source project.
 </li>
 <li>
 A side project with real users.
 </li>
 </ul>
 
 
 
 
 What matters is that you know what it feels like to take something from an idea to something people actually use.
 
 
 
 
 
 
 Why join?
 
 
 
 Because you&rsquo;ll get exposure to a range of genuinely difficult AI problems rather than spending years maintaining one narrow product area.
 
 
 
 
 
 You&rsquo;ll work directly with clients.
 
 
 
 
 
 You&rsquo;ll have significant autonomy.
 
 
 
 
 
 You&rsquo;ll ship quickly.
 
 
 
 
 
 And you&rsquo;ll see the systems you build being used in real businesses, rather than disappearing into an endless backlog.
 
 
 
 
 
 This is a remote-first position, although you&rsquo;ll need to be comfortable travelling into London for client meetings and on-site work when required.
 
 
 
 
 
 If you want a role where you&rsquo;re given a tightly defined specification and told exactly what to build, this probably isn&rsquo;t it.
 
 
 
 
 
 If you want to be the person who figures out what should be built in the first place, then builds it, this could be a very good fit.
 
 
 
 
 
 Apply now and tell us about the most interesting thing you&rsquo;ve built.
 
</div>

Forward Deployed Engineer

Annapurna

<div>
 Data &amp; AI Engineer
 
 
 
 Our client is seeking a pragmatic, hands-on Data &amp; AI Engineer to design, build, and operate AI-powered applications and agents that solve real business problems. You'll join our client's team to enhance existing AI solutions, create new AI capabilities that improve workflows and decision-making, and work closely with business stakeholders and engineers to embed domain expertise into robust, production-grade AI systems.
 
 
 
 Key Skills &amp; Experience
 
 
 <ul>
 <li>
 
 Python software development
 
 - Strong, production-level coding skills to build reliable, maintainable AI services.
 </li>
 <li>
 
 End-to-end software delivery
 
 - Experience designing, building, testing, deploying, and operating production-grade systems.
 </li>
 <li>
 
 AI/LLM application development
 
 - Hands-on experience creating AI or LLM-based applications used by real users, not just experimenting with consumer tools.
 </li>
 <li>
 
 AI system lifecycle
 
 - Exposure to prototyping, data preparation, evaluation, deployment, monitoring, and continuous improvement of AI systems.
 </li>
 <li>
 
 AI evaluation and metrics
 
 - Ability to design and run evaluations, and measure model/agent quality, reliability, safety, and business impact.
 </li>
 <li>
 
 Working with multiple model providers
 
 - Understanding of different model families, trade-offs in latency, cost, context limits, and deployment constraints.
 </li>
 <li>
 
 Prompt and agent design
 
 - Experience treating prompts and agent instructions as versioned, testable software artifacts.
 </li>
 <li>
 
 Systems integration
 
 - Integrating AI with APIs, enterprise applications, data platforms, and both structured and unstructured data.
 </li>
 <li>
 
 Advanced AI techniques
 
 - Familiarity with retrieval-augmented generation, tool calling, structured outputs, agent orchestration, and workflow automation.
 </li>
 <li>
 
 Model adaptation foundations
 
 - Understanding when to use prompting, retrieval, fine-tuning, and how to prepare and evaluate data and models for post-training.
 </li>
 <li>
 
 Business and data understanding
 
 - Ability to grasp complex workflows, rules, and processes, and translate them into AI-enabled solutions.
 </li>
 </ul>
</div>

Data & AI Engineer

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