ai engineer

devops engineer

platform engineer

analytics engineer

infrastructure engineer

it operations engineer

Salesforce

<div><p><i>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
</i></p><p></p><p>Job Category
</p>Sales
<p></p><p>Job Details
</p><p></p><p><b>About Salesforce
</b></p><p>Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
</p><p></p><p>Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.<br>
</p><p></p><p>D360 FORWARD DEPLOYED ENGINEER
</p><h1 class="jobSectionHeader"><b>About Salesforce
</b></h1><p>Salesforce brings customer data, CRM, analytics, and AI together on a trusted platform. Our teams help organizations turn complex business and data requirements into secure, scalable solutions. In this role, you will help customers put Data 360 into production and build the technical foundation for reliable, enterprise-grade use cases.
</p><h1 class="jobSectionHeader"><b>About the Role
</b></h1><p>Production implementation experience required. Builder mindset non-negotiable.
</p><p>Salesforce is hiring Forward Deployed Engineers focused on Data 360, Salesforce&rsquo;s real-time data engine that unifies data from any source. As a Forward Deployed Engineer, you will be a hands-on Technical Builder who configures, builds, tests, and deploys Data 360 directly inside enterprise customer environments. You will turn approved solution designs and acceptance criteria into working implementations across ingestion, harmonization, identity, insights, activation, retrieval, security, and operational readiness.
</p><p>Data 360 is also the data foundation for Agentforce - and grounding agents in accurate, real-time enterprise data is deep data engineering. You'll go further into RAG, vector search, MCP, and agent-to-agent integration than most data roles ever touch, because the agents are only as good as the layer you build.
</p><p>You'll work within a delivery team that includes architects, deployment strategists, Agentforce FDEs, account teams, and customer technical teams. Engagements may span a focused proof, production rollout, and stabilization. The common thread is real customer data, disciplined testing, and a supportable handoff.
</p><p>This is a hands-on data and software engineering role . You will build in real enterprise customer environments - writing SQL, Python, and Apex; building ingestion pipelines; debugging identity resolution; and shipping working implementations from sandbox through production. If you're looking for a purely declarative configuration role or a pure advisory role, this isn't it.
</p><h1 class="jobSectionHeader"><b>What You'll Do
</b></h1><ul><li><p>Build in customer environments. Configure and develop directly in customer sandboxes and production - using Data 360 configuration, SQL, Apex, Flow, Python, the REST Query API, the Interaction SDK, Salesforce DX, CLI, Git, Data Kits, and deployment tooling as required - following security, change-management, and release controls.
</p></li><li><p>Engineer the data layer. Build ingestion, harmonization, and identity resolution across batch and streaming sources. Materialize views of data optimized for specific application, analytical, and agentic workloads, tuning latency and cost tradeoffs to meet use-case requirements. Work with customer data and AI teams to ensure implementations align with their existing strategies (e.g., data mesh, data fabric).
</p></li><li><p>Prove it works. Create representative test data and validate expected outcomes across happy paths, edge cases, access boundaries, hierarchy behavior, failure conditions, and customer-scale volumes.
</p></li><li><p>Ground the agents. Design, build, and maintain the AI data integration layer - RAG (Retrieval-Augmented Generation), vector databases, search indexes, and knowledge bases - that grounds Agentforce solutions in accurate, real-time enterprise data.
</p></li><li><p>Orchestrate agent communication. Design and implement the protocols - including Model Context Protocol (MCP) and agent-to-agent communication - that govern, monitor, and ensure efficient collaboration among specialized AI agents.
</p></li><li><p>Connect the ecosystem. Implement robust, scalable, and secure data integration patterns that connect Agentforce to a wide range of enterprise applications and enable communication between AI agents.
</p></li><li><p>Govern the data. Apply deep data management expertise to ensure the secure integration, transformation, and governance of structured and unstructured data across the Salesforce ecosystem (CRM, Data Cloud) and external systems.
</p></li><li><p>Build for scale and security. Apply knowledge of message queues, event-driven architecture, and distributed systems to build resilient workflows and implement secure authentication and authorization protocols (OAuth, SAML) so that all agent actions are secure and comply with enterprise security policies.
</p></li><li><p>Debug the hard problems. Troubleshoot ingestion failures, mapping defects, schema drift, identity anomalies, query behavior, activation latency, API errors, permissions, and consumption issues - methodically, with logs and query evidence, isolating product behavior from configuration error.
</p></li><li><p>Own implementation decisions. Compare viable techniques within the approved architecture, document measured tradeoffs, and recommend the most maintainable implementation to the responsible architect or technical lead.
</p></li><li><p>Accelerate with AI. Use AI tooling - including Data 360 APIs and MCP Servers - to automate the build process and compress customers' time to value.
</p></li><li><p>Co-build and hand off. Work alongside customer technical teams and partners through pairing, code reviews, and configuration reviews. Package reusable metadata, scripts, queries, tests, and runbooks so the solution can be reproduced and supported. Support deployment, validation, production handoff, and early stabilization, leaving clear ownership and known limitations.
</p></li><li><p>Feed the roadmap. Surface reproducible platform gaps and edge cases - with live evidence, impact, and expected behavior - directly to Product and Support.
</p></li></ul><p></p><p>You're Our Data 360 Forward Deployed Engineer If...
</p><ul><li><p>You have 5+ years of experience in software engineering, data engineering, or technical implementation , including a production data solution you can explain in detail.
</p></li><li><p>You have a bachelor's degree in Computer Science or equivalent practical experience.
</p></li><li><p>You have hands-on experience implementing Salesforce Data 360 (Data Cloud) or a comparable enterprise data platform across ingestion, modeling, identity, insight, activation, and operations.
</p></li><li><p>You have hands-on experience building data pipelines and integrations using at least one enterprise data platform or technology, such as Snowflake, Databricks, BigQuery, Redshift, Kafka, cloud object storage, or an enterprise MDM platform.
</p></li><li><p>You are proficient in SQL and can build, debug, and optimize multi-table queries, joins, filters, transformations, and validation checks.
</p></li><li><p>You are fluent in at least one implementation language used in enterprise delivery - Apex, Java, Python, or JavaScript/TypeScript - and are willing to learn the others as needed.
</p></li><li><p>You understand data modeling, APIs, integration patterns, batch and streaming processing , and the practical differences between copied, federated, and Zero Copy data access.
</p></li><li><p>You've built retrieval systems for AI applications - vector databases, search indexes, embedding pipelines, or knowledge bases - and can explain the design decisions behind chunking, indexing, and relevance.
</p></li><li><p>You've implemented secure service-to-service integration patterns (OAuth, SAML, event-driven architectures) and are conversant in emerging agent protocols like MCP and agent-to-agent communication.
</p></li><li><p>You can implement secure data access and rigorously test it, including permissions, entitlements, consent, user context, restricted populations, and negative test cases .
</p></li><li><p>You diagnose technical problems methodically , use logs and query evidence, isolate product behavior from configuration errors, and document a reproducible result.
</p></li><li><p>You can implement against a documented architecture , explain what you built to customer technical teams, and recognize when a question requires an architect or security owner.
</p></li><li><p>You have delivered alongside customers, partners, professional services, or internal implementation teams in deadline-driven environments .
</p></li><li><p>You are excited to work directly with customer administrators, developers, data engineers, and architects.
</p></li><li><p>You have relevant certifications in Salesforce Agentforce, Data 360, and the Salesforce Platform.<br>
</p></li></ul><p></p><p>Unleash Your Potential
</p><p>When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and <i>be your best </i>, and our AI agents accelerate your impact so you can <i>do your best </i>. Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
</p><p></p><p>Accommodations
</p><p>If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
</p><p></p><p>Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
</p><p></p>We are a recognised Disability Confident member under the UK Government Disability Confident employer scheme. We are committed to providing an inclusive recruitment process and will offer an interview to disabled applicants who meet the essential criteria for the role. Applicants are welcome to opt-in to the interview scheme as part of the application process. If you would like to apply under the scheme, please click the link to the Accommodations Request Form above and scroll to the UK Disability Confident Scheme section within the form.
<p></p><p>Posting Statement
</p><p>Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.</p></div><p></p>

Data360 FDE

NatWest Group

<div><p>Closing date for applications: 02/09/2026</p>
<div>
<div><p>Location London, 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-00283247</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 DevOps Engineer, Network Automation</p>
<p></p><ul><li>We&rsquo;re looking for a DevOps Engineer to join our Network Automation team, helping design, build and operate automation capabilities that make network and infrastructure services faster, safer and more reliable</li>
<li>You&rsquo;ll work across automation, infrastructure-as-code and network-as-code practices, supporting secure, compliant and auditable change within a highly regulated financial services environment</li>
<li>This is your opportunity to deepen your expertise across modern automation, cloud-native platforms and AI-enabled engineering while working on business-critical infrastructure</li>
</ul><p></p><h2 class="jobSectionHeader"><b>What you'll do</b></h2>
<p></p><p>As a DevOps Engineer, you&rsquo;ll help develop and enhance automation patterns, pipelines and tools that support network and infrastructure services from concept through to operational support. Working closely with engineers, platform teams and service owners, you&rsquo;ll build reusable automation, improve delivery efficiency and embed DevOps best practice across the engineering lifecycle.</p>
<p></p><p>You&rsquo;ll also be:</p>
<p></p><ul><li>Designing, building and maintaining network and infrastructure automation using modern DevOps practices</li>
<li>Delivering automation through code-based CI/CD pipelines, with GitLab experience helping you hit the ground running</li>
<li>Applying infrastructure-as-code and network-as-code principles to create repeatable, controlled and auditable delivery patterns</li>
<li>Embedding security, compliance and risk controls into automation and pipeline design</li>
<li>Supporting automated change, incident and operational workflows, including ServiceNow integration where appropriate</li>
<li>Working with container platforms such as OpenShift or Kubernetes to support automation services and workloads</li>
<li>Exploring practical uses of AI-enabled tooling and workflows to improve operational efficiency, engineering productivity and service reliability</li>
</ul><p></p><h2 class="jobSectionHeader"><b>The skills you'll need</b></h2>
<p></p><p>We&rsquo;re looking for someone with hands-on engineering experience, a strong automation mindset and a solid understanding of enterprise networking. You&rsquo;ll be comfortable working in a DevOps environment where quality, security and operational resilience are built into every stage of delivery. You&rsquo;ll also bring experience of network automation within large-scale financial services or other regulated environments.</p>
<p></p><p>You'll also need experience using AI-enabled tooling to improve engineering outcomes, and scripting capability in Python and Shell for automation workflows, integrations and operational tooling, along with hands-on experience with Ansible and Ansible Automation Platform for network and infrastructure automation at scale.</p>
<p></p><p>You&rsquo;ll also demonstrate:</p>
<ul><li>Experience delivering automation through code-based CI/CD pipelines, with knowledge of GitLab, Jenkins, Azure DevOps or similar platforms</li>
<li>Solid understanding of enterprise networking concepts, including DNS, LDAP, load balancing and traffic management</li>
<li>Ability to embed security practices into CI/CD pipelines so changes are compliant, auditable and risk-aware.</li>
<li>Familiarity with ServiceNow or similar IT service management tooling for change, incident and workflow automation</li>
<li>Experience with OpenShift, Kubernetes or similar container for deployment and workload management</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>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 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>

DevOps Engineer, Network Automation

ClearRoute

<div><p><b>About Us:</b></p><p>
ClearRoute is an engineering consultancy bridging Quality Engineering, Cloud Platforms and Developer Experience. We help enterprises reliably bring high-impact digital products to market faster, cheaper, and safer, working with technology leaders facing complex business challenges.</p><p>
We take as much pride in our people, culture and work-life balance as we do in making better software. We&rsquo;re not just making better software. We&rsquo;re making the making of software better. Collaborative, entrepreneurial and dedicated to problem solving, we bring the step change our customer need to sustain innovation. Our values challenge us to do the best we can for ClearRoute, our customers and most importantly our team. This is an opportunity for you to build the organisation from the ground up, use your voice to drive change and help transform organisations and problem domains.</p><p></p><p><b>
Role:</b></p><p>
ClearRoute is looking for a Network Security Engineer to take ownership of firewall policy management and network security operations across our client estate, with AlgoSec at the centre of the toolset. You'll be the go-to specialist for administering the AlgoSec Security Management Suite, using it to automate policy governance, risk analysis, and compliance reporting across large, multi-vendor firewall environments.</p><p>
This is a hands-on engineering role. You'll work directly within regulated, enterprise-scale environments, reviewing and optimising firewall rule bases, running recertification exercises, and building the automation that takes manual, error-prone policy work off engineering teams' plates. You'll sit at the intersection of security engineering, operations, and governance, translating firewall and network security requirements into practical, auditable controls that hold up under regulatory scrutiny.</p><p>
Alongside the technical delivery, you'll be a trusted voice with both technical and executive stakeholders identifying where security posture, operational resilience, and business need are in tension, and helping clients navigate that trade-off with clear, well-reasoned recommendations.</p><p></p><p><b>
Required Experience:</b></p><p><b>
AlgoSec &amp; Security Policy Management</b></p><ul><li><p>
Hands-on experience administering and supporting the AlgoSec Security Management Suite, including: Firewall Analyser, FireFlow, ObjectFlow, AppViz.</p></li><li><p>
Experience utilising AlgoSec to automate firewall policy management, risk analysis, access recertification, change governance, and compliance reporting.</p></li><li><p>
Strong understanding of application connectivity mapping, traffic flow analysis, and security policy optimisation.</p></li></ul><p><b>
Firewall &amp; Network Security Technologies</b></p><ul><li><p>
Extensive experience managing large-scale, multi-vendor firewall environments, including: Palo Alto Networks, Fortinet, Cisco ASA / Firepower, Check Point.</p></li><li><p>
Strong understanding of firewall architecture, policy administration, NAT, VPN technologies, segmentation, and micro-segmentation.</p></li><li><p>
Experience performing firewall rule reviews, recertification exercises, policy optimisation, and risk reduction initiatives.</p></li><li><p>
Knowledge of network access controls, intrusion prevention systems (IPS), intrusion detection systems (IDS), DDoS protection, and secure web gateway technologies.</p></li></ul><p><b>
Network Security Operations</b></p><ul><li><p>
Strong operational experience supporting enterprise network security environments.</p></li><li><p>
Experience managing security incidents, firewall requests, policy exceptions, and operational support within regulated organisations.</p></li><li><p>
Understanding of firewall compliance management, governance processes, audit requirements, and regulatory controls.</p></li><li><p>
Experience working within ITIL-aligned Incident, Problem, Change, and Service Management frameworks.</p></li></ul><p><b>
Security Automation &amp; Engineering</b></p><ul><li><p>
Experience automating network security processes, including; Firewall rule lifecycle management, Policy validation, Compliance reporting, Security control enforcement, Operational workflows.
</p></li><li><p>Proficiency in PowerShell, Python, Bash, and API-based integrations to support automation objectives.</p></li><li><p>
Experience with automation platforms and configuration management tools such as Ansible, Terraform, Chef, or equivalent solutions.</p></li></ul><p></p><p><b>
Additional Professional Competencies</b></p><ul><li><p>
Strong stakeholder management and relationship-building skills across technical and executive audiences.</p></li><li><p>
Ability to influence and drive security improvements across infrastructure, cloud, engineering, and operational teams.</p></li><li><p>
Strong analytical approach to risk identification, remediation, and operational optimisation.</p></li><li><p>
Excellent written and verbal communication skills with the ability to present complex technical issues in a clear and concise manner.</p></li><li><p>
Demonstrated ability to balance security, operational resilience, regulatory obligations, and business requirements.</p></li></ul><p></p><p><b>
Additional Desirable Skills &amp; Experience</b></p><ul><li><p>
Experience implementing enterprise firewall governance programmes using AlgoSec or equivalent policy management platforms.</p></li><li><p>
Experience with Zero Trust Network Architecture (ZTNA), SASE, and Security Service Edge (SSE) technologies.</p></li><li><p>
Experience within large-scale financial services, banking, or other highly regulated environments.</p></li><li><p>
Knowledge of regulatory frameworks including PCI-DSS, ISO27001, NIST Cyber Security Framework, CIS Controls, and relevant financial industry regulations.</p></li><li><p>
Experience supporting network security transformation, cloud migration, and hybrid networking programmes.</p></li><li><p>
Familiarity with software-defined networking (SDN), network segmentation strategies, and modern secure connectivity solutions.</p></li></ul><p></p><p><b>
Working at ClearRoute</b><br>
We have grown from six founders to 200+ people across five countries in three years, and what sets us apart isn't the pace, it's how we grow.</p><ul><li><p><b>
Real flexibility, in practice.</b> We trust you to perform at your best and still have a life outside of work, with genuine hybrid working, a home office budget, an open feedback culture where your voice shapes decisions, and time off when life needs it (birthday included).</p></li><li><p><b>
When ClearRoute wins, you win.</b> We offer profit share so success is shared, meaningful recognition for great work, and benefits that look after you and your family, including private healthcare, competitive salary benchmarking, and a confidential employee assistance program covering counselling, mental health support, and financial wellbeing.</p></li><li><p><b>
A community you'll genuinely want to be part of.</b> Interest based communities like running and book clubs, Women in Tech group, monthly socials, and cross regional events bring people together across the company. An inclusive, collaborative culture where you don't need to conform to succeed, where people support one another and feel comfortable being themselves.</p></li><li><p><b>
Where meaningful work meets real growth.</b> You will tackle complex, real world problems at the forefront of platform engineering, AI, security, and scalable systems. Your growth is supported by learning budgets, Udemy access, a clear career framework, internal mobility, and thought leadership opportunities that take your impact beyond ClearRoute.</p></li></ul><p></p><p><i>
At ClearRoute, we believe diverse perspectives lead to better outcomes, and inclusion creates the conditions for everyone to thrive. We are proud to have built a family friendly working environment and have many employees who have caring responsibilities alongside work. We welcome applications from people who require flexibility and will be happy to discuss needs on an individual basis.</i></p><p></p><p><i>
We are committed to fostering a culture where all team members feel respected, supported, and empowered to do their best work. We celebrate individuality and our differences and understand that some differences may mean that you require changes made to the interview process. We are happy to cater to your needs to make the interview accessible, if this is something you require please let us know by emailing us at </i><i>join@clearroute.io</i></p></div>

Network Security Engineer

<div>
 <p>
  <strong>
   Department:
  </strong>
  Data &amp; AI
 </p>
 <p>
  <strong>
   Location:
  </strong>
  UK - London
  <br/>
  <br/>
 </p>
 <strong>
  Description
  <br/>
  <br/>
 </strong>
 Insurance isn&rsquo;t the first industry most engineers think of when they imagine cutting-edge AI work. That&rsquo;s exactly why this role is interesting.
 <br/>
 <br/>
 CFC&rsquo;s Data &amp; AI unit is building production agentic systems that automate complex underwriting decisions - not chatbots, not copilots bolted onto legacy workflows, but autonomous multi-step AI agents that reason over unstructured data, assess risk, and drive real business outcomes. We&rsquo;re using frameworks like LangChain to orchestrate LLM-driven services that sit at the heart of how the business operates. The problems are genuinely hard: ambiguous inputs, high-stakes decisions, and the kind of domain complexity that makes for satisfying engineering.
 <br/>
 <br/>
 We&rsquo;re also fundamentally rethinking how we deliver software. We&rsquo;re moving toward an agentic-first development model - using AI agents not just in what we build for the business, but in how we build it. The goal is to multiply engineering delivery by an order of magnitude: not by cutting corners or generating throwaway code, but by designing robust systems and processes that let agents handle well-defined work while engineers focus on architecture, design, and the problems that actually require human judgment. This is a deliberate, engineering-led approach. We care about code quality, testability, and maintainability - the agent-generated code meets the same standards as everything else. We expect that a successful candidate will be able to bring their expertise to help guide and refine our agentic development process as it matures - a meaningful opportunity to influence how we work as well as what we ship.
 <br/>
 <br/>
 This is a Senior Machine Learning / AI Engineer role with genuine technical leadership scope. You&rsquo;ll shape the architecture of AI-driven production microservices, own system design decisions, and work at the intersection of traditional software engineering and applied AI. You&rsquo;ll collaborate closely with engineers, data scientists, and product managers in a team that&rsquo;s small enough for your decisions to matter and ambitious enough for the work to stay interesting.
 <br/>
 <br/>
 <strong>
  About the role
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, develop, and maintain business-critical AI agent services.
  </li>
  <li>
   Build tailored agent workflows and services from business requirements, using LangChain and related frameworks with reliable patterns for LLM-driven decision-making in production.
  </li>
  <li>
   Integrate tests and validation to improve AI agents through evals and monitoring.
  </li>
  <li>
   Work with software engineers and architects to lead system design and architectural decisions.
  </li>
  <li>
   Translate technical specifications into clean, testable, and scalable production code.
  </li>
  <li>
   Work closely with cross-functional teams - engineers, data scientists, product managers - to deliver features on time and to a high standard.
  </li>
  <li>
   Write unit and integration tests to maintain reliability and service correctness.
  </li>
  <li>
   Monitor, troubleshoot, and continuously improve production services.
  </li>
  <li>
   Produce clear, structured documentation for systems, architecture, and processes.
  </li>
  <li>
   Mentor junior engineers through code reviews, best-practice guidance, and knowledge sharing.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About you
  <br/>
  <br/>
 </strong>
 We&rsquo;re looking for an experienced AI or Machine Learning Engineer with strong software engineering fundamentals and a passion for building robust, production-ready AI systems. You&rsquo;ll be someone who enjoys solving complex technical problems, making thoughtful architectural decisions and working on systems where quality, reliability and maintainability really matter.
 <br/>
 <br/>
 You&rsquo;ll have:
 <ul>
  <li>
   Significant experience building production-grade AI agents or LLM-powered services.
  </li>
  <li>
   Strong Python development experience, ideally with 6+ years of professional software engineering experience.
  </li>
  <li>
   A track record of writing clean, maintainable and high-quality production code.
  </li>
  <li>
   Experience supporting business-critical systems in live production environments.
  </li>
  <li>
   Strong understanding of asynchronous programming, Docker, containerised deployments and modern service architectures.
  </li>
  <li>
   Experience designing distributed systems, asynchronous microservices and event-driven architectures.
  </li>
  <li>
   Confidence leading system design discussions and making pragmatic architectural trade-offs.
  </li>
  <li>
   Strong cloud experience, ideally within Azure.
  </li>
  <li>
   Experience deploying, monitoring and maintaining ML or LLM models in production.
  </li>
  <li>
   Familiarity with MLOps, LLMOps, evals, monitoring and lifecycle management.
  </li>
  <li>
   Hands-on experience orchestrating LLM workflows using frameworks such as LangChain.
  </li>
  <li>
   An interest in how agentic software development can improve engineering delivery without compromising code quality.
  </li>
  <li>
   Strong communication skills and the ability to collaborate effectively in remote or asynchronous environments.
  </li>
  <li>
   An ownership mindset, with the ability to work independently and contribute effectively to shared codebases.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Core Values
  <br/>
  <br/>
 </strong>
 <strong>
  Love what you do:
  <br/>
 </strong>
 We show up each day ready to take on the world. Our passion and intensity set us apart and makes the difference to our colleagues, customers, brokers and carriers.
 <br/>
 <br/>
 <strong>
  Challenge everything:
  <br/>
 </strong>
 We&rsquo;re never afraid to question the way that things are done and we constantly challenge ourselves and others to makes things better.
 <br/>
 <br/>
 <strong>
  Have fun, be good:
  <br/>
 </strong>
 Insurance is a serious business, but we don&rsquo;t take ourselves too seriously. We make it fun to work at CFC, we welcome all viewpoints, and we treat everyone how we would expect to be treated.
</div>


Senior Machine Learning Engineer

Clearwater Analytics (CWAN)

<div><p><b>Job Summary:</b></p><p></p><p><br>
We are seeking a skilled and motivated Senior Software Engineer to join our dynamic team at CWAN. The role joins our Beacon Core Engineering team. The Core team develops large part of Beacon Cloud, just above the Platform abstraction. It deals with the developer tools (SDLC) that we offer to clients and use internally - IDE including Cline integration, Code Review, Test Framework, Release process; also runtime execution - batch scheduler, super computer scheduler, containerization, coding libraries - dependency graph and deal model used by the financial layer and clients directly.</p><p></p><p>
In this role, you will be responsible for designing, building, deploying, and maintaining high-quality code while collaborating with cross-functional teams to enhance our software offerings. This position is ideal for an engineer who is driven by client satisfaction and has a strong commitment to continuous learning and improvement. We use AI agents to speed up development safely and at same time help clients achieve the same.</p><p></p><p><b><br>
Responsibilities</b></p><ul><li>
Design, build, deploy, and maintain quality code that is simple, well-structured, clear, and well-tested.</li><li>
Use AI agents to speed up development and advise others how to use them safely, both clients and internally.</li><li>
Break down and solve complex problems efficiently, utilizing research and collaboration as needed.</li><li>
Communicate effectively across various mediums, with different audiences, and at appropriate times.</li><li>
Implement and maintain multiple levels of automated testing (e.g., unit, integration, contract, end-to-end).</li><li>
Mentor new and less-experienced team members, sharing knowledge and best practices.</li><li>
Lead design and feature discussions, advocating for enhancements in software performance, scalability, reliability, and security.</li><li>
Coordinate with cross-functional teams to ensure successful integration of software applications.</li><li>
Troubleshoot and resolve production incidents promptly and effectively.</li><li>
Understand customer needs and address issues with empathy and a sense of urgency.</li><li>
Undertake any other reasonable activities required by management.</li></ul><p></p><p><b><br>
Required Skills</b></p><ul><li>
Excellent proficiency in Python</li><li>
Experience with TypeScript or Javascript, and Rust would be a strong plus</li><li>
Familiarity with C++ is a plus.</li><li>
Experience in Financial domain is a plus.</li><li>
Strong command of a typed, object-oriented programming language.</li><li>
Deep knowledge of software methodologies, tools, and common architectural patterns.</li><li>
Passion for working in a software-as-a-service environment.</li><li>
Strong focus on client satisfaction and user experience.</li><li>
Excellent teamwork and collaboration skills.</li><li>
Ability to manage time effectively and deliver results within deadlines.</li><li>
Commitment to continuous learning and professional development.</li><li>
Exceptional analytical and problem-solving skills.</li><li>
Proficient in Microsoft Office and other essential computer applications.</li><li>
Attention to detail and strong documentation capabilities.</li><li>
Outstanding verbal and written communication skills.</li><li>
Strong organizational and interpersonal skills.</li></ul><p></p><p><b><br>
Education and Experience:</b></p><ul><li>
Degree in Computer Science or related field.</li><li>
5+ years of software development experience using Python or any other OOP languages.</li></ul></div>

Senior Software Development Engineer

Retail Insight Ltd

<div><p>Help build the platform at the heart of Retail Insight's data strategy</p><p></p><p><br>
We're looking for a Senior Platform Engineer to join our Data &amp; Engineering team and play a key role in the development and evolution of our Databricks platform.</p><p></p><p><br>
This is a senior, hands-on engineering role where you'll design, build and optimise the data platform that powers our products and services. Working alongside Platform, Data and Product teams, you'll help deliver scalable, secure and high-performing data solutions that enable analytics, machine learning and AI across the business.</p><p></p><p><br>
If you enjoy solving complex technical challenges, working with modern cloud technologies and building robust data platforms at scale, we'd love to hear from you.</p><p></p><p><b><br>
What you'll be doing</b></p><br>
<p></p><ul>
<li>
Design, build and enhance our Databricks platform, ensuring it remains secure, scalable and reliable.</li>
<li>Develop and maintain batch and real-time data pipelines using Databricks, Spark and Delta Lake.</li>
<li>Contribute to platform architecture, engineering standards and best practices across the data estate.</li>
<li>Collaborate with Product, Analytics and Data Science teams to deliver solutions that solve real business problems.</li>
<li>Support platform operations, monitoring and optimisation to ensure high levels of performance and reliability.</li>
<li>Share knowledge with colleagues and help drive continuous improvement across the engineering team.</li></ul><br>
<p><br>
<b>Our ideal candidate</b></p><br>
<p></p><ul>
<li>
Proven experience building and supporting scalable, production-grade data platforms.</li>
<li>Strong hands-on expertise with Databricks, Spark, Delta Lake, Python and SQL.</li>
<li>Good understanding of cloud-based data engineering, ideally within Azure environments.</li>
<li>Experience working with Infrastructure as Code tools such as Terraform, Bicep or similar.</li>
<li>Solid understanding of data modelling, ETL/ELT processes, data quality, security and governance.</li>
<li>Comfortable working with technical and non-technical stakeholders to deliver high-quality solutions.</li></ul><br>
<p><br>
<b>Even better if you have</b></p><br>
<p></p><ul>
<li>
Databricks certifications.</li>
<li>Experience with Unity Catalog, MLflow or Databricks Asset Bundles.</li>
<li>Familiarity with dbt or similar data transformation frameworks.</li>
<li>Exposure to Kafka, Event Hubs or other streaming technologies.</li>
<li>Experience working with retail or consumer packaged goods data, including point-of-sale, inventory or supply-chain datasets.</li>
<li>A degree in Computer Science, Data Engineering or a related discipline, or equivalent practical experience.</li></ul><br>
<p></p>
<p>
Don't tick every box? That's okay. If the role sounds exciting and you think you could bring something to the team, we'd still love to hear from you.</p><p><br>
<b>
Some of our extras...</b></p><p><br>
<b>
Flexible Working </b>&ndash; Enjoy a hybrid work model (typically 2 days in the office) with flexibility based on business needs, plus a work from anywhere policy to give you freedom to explore.</p><p><br>
<b>
Time Off </b>&ndash; 25 days annual leave (+ bank holidays), increasing with length of service, plus an extra day off for your birthday! We also operate summer hours so you can make the most of the sunshine.</p><p><br>
<b>
Learning &amp; Development </b>&ndash; Access a vast range of courses through our learning platform and benefit from structured career progression plans to support your growth.</p><p><br>
<b>
Health &amp; Wellbeing</b> &ndash; Private Medical Insurance, a healthcare cash plan, and mental health support via Help@Hand. Plus, we'll ensure you have a safe and productive home setup with a workspace assessment.</p><p></p><p><b><br>
Giving Back</b> &ndash; Take paid volunteer days to support your local community, donate to your chosen charity through salary sacrifice (we'll match it!), and make a difference with Give as You Earn.</p><p><br>
<b>
Extra Perks</b> &ndash; A car purchase scheme to make buying a new car easier, plus access to additional benefits through our online platform, including gym and tech discounts.</p><p><br>
Plus much more!</p><p><br>
<b>
Our interview process</b><br>
Our interview process will vary slightly depending on the role. We'll always let you know what to expect at each stage and give you plenty of opportunity to ask questions along the way.</p><p></p><p><b><br>
People Team Intro Call</b><br>
An initial conversation with a member of our People Team to learn more about you, your experience and what you're looking for in your next role. We'll also tell you more about Retail Insight, the opportunity and what you can expect from the interview process.</p><p></p><p><b><br>
Skills-Based Interview</b><br>
This is an opportunity to explore the skills most relevant to the position and understand how you approach your work. This may include a practical task, presentation or technical assessment, and we'll always explain what's involved in advance.</p><p><br>
<b>
Values-Based Interview</b><br>
Our final stage focuses on how you work, collaborate and approach different situations, aligned with our values and ways of working at Retail Insight. It's also another opportunity for you to get to know us and make sure Retail Insight feels like the right fit for you.</p><p><br>
<b><i>
Be your authentic self</i></b><br>
<i>Retail Insight is committed to promoting equal opportunities in employment. All employees and job applicants will receive equal treatment. We actively seek to create an environment where everyone feels respected, supported and encouraged to contribute their best work.</i></p></div><p></p>

Senior Platform Engineer (Databricks)

Understanding Recruitment

<div>
 <p>
  <strong>
   AI Engineer &ndash; Agentic AI
  </strong>
 </p>
 <p>
  <strong>
   <em>
    Want to build agentic AI that goes beyond prototypes and actually operates in high-stakes environments?
   </em>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  This is a chance to build
  <strong>
   production AI systems from the ground up
  </strong>
  , with real ownership over architecture, model selection and deployment.
 </p>
 <p>
  <br/>
 </p>
 <p>
  What&rsquo;s in it for you?
 </p>
 <ul>
  <li>
   Build
   <strong>
    agentic AI systems
   </strong>
   that interact with tools and take actions
  </li>
  <li>
   Work on challenging problems around
   <strong>
    reliability, security and controlled AI deployment
   </strong>
  </li>
  <li>
   Potential to work across
   <strong>
    multimodal AI, perception and real-time sensor data
   </strong>
  </li>
  <li>
   High levels of technical ownership from day one
  </li>
  <li>
   Competitive salary +
   <strong>
    equity
   </strong>
  </li>
  <li>
   <strong>
    7% pension
   </strong>
   , private healthcare and free daily meals
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  What you&rsquo;ll be doing
 </p>
 <ul>
  <li>
   Building core
   <strong>
    agentic AI product features
   </strong>
  </li>
  <li>
   Designing LLM architectures and agent workflows
  </li>
  <li>
   Evaluating models and choosing the right approach for each problem
  </li>
  <li>
   Integrating AI into complex production software
  </li>
  <li>
   Deploying across
   <strong>
    cloud and on-premise environments
   </strong>
  </li>
  <li>
   Improving the security, reliability and testing of AI systems
  </li>
  <li>
   Potentially working with
   <strong>
    object detection and multimodal models
   </strong>
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  What you&rsquo;ll bring
 </p>
 <ul>
  <li>
   Experience building
   <strong>
    ML or AI systems in production
   </strong>
  </li>
  <li>
   Hands-on experience with
   <strong>
    LLMs and agentic AI
   </strong>
  </li>
  <li>
   Strong
   <strong>
    Python, Rust, C++ or Java
   </strong>
  </li>
  <li>
   Experience with
   <strong>
    PyTorch, JAX or TensorFlow
   </strong>
  </li>
  <li>
   Exposure to
   <strong>
    LangGraph, Google ADK or similar
   </strong>
  </li>
  <li>
   Strong understanding of ML fundamentals and model trade-offs
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Experience with
  <strong>
   MLOps, multimodal AI or constrained hardware
  </strong>
  is a bonus rather than a requirement.
 </p>
 <p>
  <br/>
 </p>
 <p>
  You&rsquo;ll need the
  <strong>
   right to work in the UK
  </strong>
  and be eligible for
  <strong>
   UK SC clearance
  </strong>
  . This is an
  <strong>
   office-first role
  </strong>
  with some flexibility.
 </p>
</div>


AI Engineer - Agentic AI

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