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RS Group

<div><p><b>AI Automation Specialist (Pricing) - Graduate Apprenticeship Programme</b></p>
<p>
Are you a Data Analytics, Data Science, Mathematics, Computer Science, Economics, or Business Analytics graduate looking to launch your career in AI, automation, and commercial analytics?</p>
<p>
Do you enjoy solving complex problems with data, building models, writing code, and turning insights into real business outcomes?</p>
<p>
If you answered &lsquo;Yes&rsquo; to the above, then read on...</p>
<p>
At RS Group, we're passionate about developing the next generation of digital and data talent. This is an exciting opportunity to join our <b>Pricing Team</b> as an <b>AI Automation Specialist</b>, where you'll work on real business challenges while developing your skills through a <b>Level 6 Machine Learning apprenticeship programme</b>.</p>
<p></p>
<p><b>About the Role</b></p>
<p>
As an AI Automation Specialist, you'll help transform how pricing decisions are made by using data, analytics, machine learning, and automation to drive commercial performance.</p>
<p>
You'll join a team focused on delivering intelligent solutions that improve pricing effectiveness, automate processes, and generate actionable insights. This role is ideal for graduates who are passionate about data and technology and want to apply their technical skills to solve real-world business problems. You'll work alongside experienced pricing, analytics, and technology professionals on projects that have a direct impact on business performance.</p>
<p>
Alongside your day-to-day role, you'll receive structured development and training, building both your technical expertise and commercial understanding.</p>
<p></p>
<p><b>What You'll Be Doing</b></p>
<p>
You'll gain hands-on experience across a range of exciting projects, including:</p>
<ul>
<li>Developing analytics and automation solutions that support pricing decisions</li>
<li>Using <b>Python and SQL</b> to analyse large datasets and generate business insights</li>
<li>Supporting the development of machine learning and AI-driven pricing models</li>
<li>Building and maintaining data pipelines and automated reporting processes</li>
<li>Exploring customer behaviour, pricing trends, elasticity, and commercial performance</li>
<li>Creating dashboards, visualisations, and presentations that communicate complex findings clearly</li>
<li>Working with stakeholders across Pricing, Commercial, Technology, and Data teams</li>
<li>Identifying opportunities to improve processes through automation and AI</li>
<li>Supporting the adoption of new tools, solutions, and best practices across the business</li>
<li>Contributing to RS Group's wider AI and digital transformation ambitions</li>
</ul>
<p></p><p><b>What We're Looking For</b></p>
<p>
We're looking for curious, analytical, and ambitious graduates who want to build a career at the intersection of data, AI, and commercial decision-making.</p>
<p><b>
Essential Skills &amp; Experience</b></p>
<ul>
<li>Strong <b>Python</b> skills</li>
<li>Strong <b>SQL</b> skills</li>
<li>Excellent analytical and problem-solving capability</li>
<li>Ability to interpret and communicate data-driven insights</li>
<li>Strong interpersonal and collaboration skills</li>
<li>Interest in machine learning, AI, automation, and advanced analytics</li>
<li>Confidence presenting findings to non-technical stakeholders</li>
<li>Creative thinking and a passion for finding innovative solutions</li>
</ul>
<p><b>Ideal but Not Essential</b></p>
<p>
We'd particularly like to hear from candidates who have exposure to:</p>
<ul>
<li>Statistics, machine learning, or predictive modelling</li>
<li>Data engineering and feature engineering concepts</li>
<li>Pricing, economics, or commercial analytics (e.g. willingness to pay, price elasticity, share of wallet)</li>
<li>Stakeholder management and storytelling with data</li>
<li>Snowflake or AWS</li>
<li>Databricks or Spark</li>
<li>SAP, Salesforce, or ERP systems</li>
<li>Power BI</li>
</ul>
<p></p><p><b>What Qualification Do You Need?</b></p>
<ul>
<li>A Bachelor's degree in a technical or analytical subject such as:</li>
<li><ul><li>Data Analytics</li>
<li>Data Science</li>
<li>Computer Science</li>
<li>Mathematics</li>
<li>Statistics</li>
<li>Economics</li>
<li>Business Analytics</li>
<li>Engineering</li>
<li>Or a related discipline</li>
</ul></li>
</ul><p><b>You'll thrive in this role if you:</b></p>
<ul>
<li>Enjoy working with data to answer questions and solve problems</li>
<li>Are naturally curious and regularly explore new technologies and AI tools</li>
<li>Feel comfortable experimenting, learning, and improving ideas through evidence and feedback</li>
<li>Can spot patterns, synthesise insights, and turn them into clear recommendations</li>
<li>Are excited by technology but not intimidated by technical concepts or teams</li>
<li>Want to help shape the future of AI-powered customer experiences</li>
</ul>
<p></p><p><b>Why Join RS Group?</b></p>
<p>
Across the industrial design, manufacturing, and maintenance worlds, RS Group is the digital destination for product and service solutions. We support customers globally through innovative technology, data, and commercial expertise.</p>
<p>
As part of our early careers programme, you'll benefit from:</p>
<ul>
<li>A strong competitive salary</li>
<li>A structured development pathway with a recognised apprenticeship qualification</li>
<li>Exposure to AI, advanced analytics, pricing, and automation projects</li>
<li>Mentoring from experienced data, pricing, and technology professionals</li>
<li>Opportunities to work on high-impact business initiatives</li>
<li>Hybrid working and a collaborative team environment</li>
<li>Clear career progression opportunities within analytics, data science, pricing, and AI</li>
</ul>
<p></p><p><b>Ready to Apply?</b></p>
<p>
If you're a graduate who enjoys coding, analysing data, solving problems, and using technology to make a genuine business impact, we'd love to hear from you.</p>
<p>
Apply now and start your career journey with RS Group's Pricing Team as an <b>AI Automation Specialist Apprentice</b>.</p></div>

Apprentice AI Automation Specialist (Pricing)

Sportradar

<div><b>Company Description</b><p><br>
We&rsquo;re the world&rsquo;s leading sports technology company, at the intersection between sports, media, and betting. More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on our know-how and technology to boost their business.</p><b><br>
Job Description</b><p><br>
The <b>Senior Pricing Analyst</b> is the quantitative engine behind the pricing function &mdash; answering <b>&quot;how much&quot;</b> and <b>&quot;what if&quot;</b> by building the financial, revenue, and ROI models that operationalize pricing strategy. You will work across large, multi-product revenue and operational datasets, using modern AI and analytics tooling to turn data into pricing decisions at speed, while setting the standard for modeling rigor across the team.</p><p><b>
THE CHALLENGE
</b></p><ul><li>Build and maintain financial revenue and ROI models that translate pricing strategy into commercial decisions.</li><li>
Analyze large, multi-product revenue and operational datasets to surface pricing, margin, and profitability insights.</li><li>
Apply AI and advanced analytics tooling to accelerate modeling, scenario analysis, and data exploration.</li><li>
Create and maintain global price lists across products and content.</li><li>
Run scenario modeling and price elasticity analysis to support pricing decisions.</li><li>
Support content and product valuation, including ROI assessment for content acquisition and new products.</li><li>
Provide business-plan modeling support for new commercial initiatives.</li><li>
Partner with the Revenue Strategy team to ensure models reflect strategy and policy.</li><li>
Set modeling standards and mentor junior analysts, reviewing methodology and outputs for rigor.</li></ul><p><b>
ABOUT YOU</b></p><ul><li>
Degree in Finance, Economics, Mathematics, Statistics, Engineering, or related quantitative field.</li><li>
5+ years in financial modeling, pricing analytics, data analysis, or commercial finance.</li><li>
Demonstrated experience in financial revenue modeling and ROI modeling.</li><li>
Strong AI skills &mdash; practical use of advanced analytics tools to accelerate analysis, modeling, and insight generation.</li><li>
Proven ability to analyze large revenue and operational datasets and translate them into actionable recommendations.</li><li>
Advanced Excel and financial modeling skills; proficiency in SQL and analytics/BI tools (Python or R a strong plus).</li><li>
Exposure to <i>sports</i> <i>betting</i>/gaming, <i>sports</i> data, or B2B data/SaaS environments welcome.</li></ul><p><b>
Key Success Metrics</b></p><ul><li>
Pricing model adoption</li><li>
Speed of pricing updates</li><li>
Accuracy of content valuation</li></ul><p><b>
OUR OFFER:</b></p><ul><li>
A collaborative environment with colleagues from all over the world (Offices in Europe, Asia and US) including various social events and teambuilding.</li><li>
Flexibility to manage your workday and tasks with autonomy.</li><li>
A balance of structure and autonomy to tackle your daily tasks.</li><li>
Vibrant and inclusive community, including Women in Tech and Pride groups which welcome all participants.</li><li>
Global Employee Assistance Programme.</li><li>
Calm and Reulay app (leading well-being apps designed to support focus, quality rest, mindfulness, and long-term mental resilience).</li><li>
Online training videos.</li><li>
Flexible working hours.</li></ul><p><i>
While we appreciate the flexibility and benefits of working from home, we strongly believe that coming together in person fosters stronger connections, encourages collaboration, and drives innovation&mdash;both as individuals and as a company. The energy, shared ideas, and team support we experience in the office strengthen the foundation of our success and culture. For this reason, we are an office-first business operating on a fully on-site model, with team members working in the office five days a week to build relationships, exchange ideas, and grow together.</i></p><p><b>
OUR RECRUITMENT PROCESS:</b></p><ul><li><p><b>
Initial Screening</b>: A quick chat with our Talent Acquisition Partner to understand your background and expectations.</p></li><li><p><b>
Two Hiring Team Interviews</b>: Meet with the Hiring team and Hiring Manager to dive into your expertise, as also discuss team fit.</p></li><li><p><b>
Final Steps</b>: Receive feedback and, if successful, an offer!</p></li></ul><b><br>
Additional Information</b><div></div><p><i><br>
At Sportradar, we celebrate our diverse group of hardworking employees. Sportradar is committed to ensuring equal access to its programs, facilities, and employment opportunities. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We encourage you to apply even if you only meet most of the requirements (but not 100% of the listed criteria) &ndash; we believe skills evolve over time. If you&rsquo;re willing to learn and grow with us, we invite you to join our team!</i></p></div>

Sr Pricing Analyst

NewRocket

<div><p><b>Agentic AI Architect-Anthropic Partnership</b></p>
<p><b>
Why Us</b></p>
<p>
NewRocket is proud Anthropic partner/vendor, expanding our ability to help enterprises responsibly adopt and operationalize Claude-powered AI solutions. Through this relationship, NewRocket is building advanced capabilities in generative AI, agentic workflows, secure enterprise knowledge experiences, and AI-enabled automation. Our teams apply Anthropic-aligned practices in prompt and context engineering, retrieval-augmented generation (RAG), tool use, structured outputs, model evaluation, safety, governance, and human-in-the-loop controls.</p>
<p>
For an Agentic AI Architect, this partnership represents an opportunity to work at the forefront of enterprise AI&mdash;designing scalable, secure, and high-value solutions that connect Claude and other AI technologies with ServiceNow, enterprise data, business processes, and mission-critical workflows.</p>
<p>
NewRocket is the AI-first Elite ServiceNow Partner that activates real value on the Now Platform. As a trusted advisor to enterprise leaders, we combine industry expertise, human-centered design, and enterprise-grade AI to help organizations navigate change and scale with confidence.</p>
<p>
Travel to clients and conferences as needed.</p>
<p><b>
We #GoBeyondWorkflows to create new kinds of experiences for our customers.</b></p>
<p><b>
Come join our Crew!</b></p>
<p><b>
The Role</b></p>
<p>
NewRocket is hiring an experienced Agentic AI Architect to support a large global client and help shape, design, and deploy enterprise AI solutions.</p>
<p>
This role combines AI/ML architecture, generative AI engineering, data engineering, cloud solution design, and technical leadership. You will be responsible for defining scalable architectures for AI and machine learning applications, including predictive analytics, natural language processing, retrieval-augmented generation (RAG), intelligent automation, and agentic AI systems.</p>
<p>
The ideal candidate brings strong hands-on expertise in Python, SQL, cloud services, databases, big-data technologies, and modern machine learning frameworks. You will also have practical experience designing LLM-powered applications that safely connect models to enterprise knowledge, systems, APIs, and workflows.</p>
<p>
You will work closely with client stakeholders, NewRocket consultants, ServiceNow teams, data engineers, and AI/ML engineers to translate business needs into secure, reliable, and production-ready AI solutions.</p>
<p><b>
We are #GoingBeyond. Come join our Crew!</b></p>
<p><b>
</b></p><p><b>What You Will Be Doing</b></p>
<p>
AI/ML Architecture &amp; Solution Delivery</p>
<ul>
<li>Architect, develop, deploy, and maintain scalable AI and machine learning solutions for enterprise use cases.</li>
<li>Define end-to-end solution architectures spanning data ingestion, data preparation, model selection, orchestration, APIs, workflow integrations, user experiences, monitoring, and governance.</li>
<li>Partner with business and technical stakeholders to identify high-value AI opportunities and translate requirements into actionable technical designs and delivery roadmaps.</li>
<li>Design solutions for predictive analytics, classification, clustering, forecasting, anomaly detection, recommendation, and intelligent automation.</li>
<li>Establish technical standards, reference architectures, reusable patterns, and best practices for enterprise AI delivery.</li>
<li>Lead technical discovery, architecture workshops, design reviews, proof-of-concepts, and client demonstrations.</li>
</ul>
<p><b>Generative AI, Anthropic &amp; LLM Engineering</b></p>
<ul>
<li>Design and implement enterprise generative AI applications using Claude, the Anthropic API, and other LLM platforms when appropriate for the business use case.</li>
<li>Apply effective prompt and context-engineering practices, including instruction design, few-shot examples, role definition, structured inputs and outputs, response constraints, and long-context management.</li>
<li>Architect retrieval-augmented generation (RAG) solutions that securely ground model outputs in approved enterprise documents, knowledge bases, databases, and other data sources.</li>
<li>Design document ingestion, chunking, embedding, vector search, retrieval, reranking, citation, and response-generation patterns for enterprise knowledge workflows.</li>
<li>Build and integrate AI capabilities using structured outputs, tool use/function calling, APIs, and workflow orchestration.</li>
<li>Assess and recommend the appropriate balance of LLMs, traditional machine learning, deterministic automation, enterprise search, and human decision-making for each use case.</li>
<li>Stay current on Anthropic platform capabilities, Claude releases, Anthropic implementation guidance, responsible AI principles, and enterprise AI best practices.</li>
<li>Complete relevant Anthropic partner enablement, technical training, and product education as available through NewRocket's partnership.</li>
<li>Travel to clients and conferences as needed.</li>
</ul>
<p><b>Agentic AI &amp; Workflow Orchestration</b></p>
<ul>
<li>Architect and implement agentic AI systems that can reason over enterprise context, use authorized tools, execute multi-step tasks, and coordinate work across enterprise applications.</li>
<li>Design AI agents with defined roles, task boundaries, tool permissions, memory and context strategies, approval gates, fallback paths, and escalation mechanisms.</li>
<li>Develop agentic workflows that integrate with ServiceNow, enterprise APIs, cloud services, databases, collaboration platforms, and operational systems.</li>
<li>Implement human-in-the-loop controls for sensitive, high-impact, low-confidence, or exception-based actions.</li>
<li>Design safeguards to prevent unintended tool execution, unauthorized data access, prompt injection, unsafe outputs, and uncontrolled autonomous behavior.</li>
<li>Evaluate agent effectiveness through task-completion rates, quality, reliability, latency, cost, safety, and user-adoption measures.</li>
</ul>
<p><b>Machine Learning, NLP &amp; Data Science</b></p>
<ul>
<li>Develop, train, validate, deploy, and monitor machine learning models for predictive analytics, classification, clustering, and related use cases.</li>
<li>Implement AI and ML solutions using frameworks such as TensorFlow, PyTorch, and Scikit-learn.</li>
<li>Develop NLP capabilities using Hugging Face transformer models and cloud AI services for text classification, summarization, sentiment analysis, entity extraction, and document intelligence.</li>
<li>Evaluate, adapt, and where appropriate fine-tune open-source or client-approved models for targeted use cases; apply prompt engineering, RAG, and tool use as preferred strategies when model fine-tuning is not appropriate or available.</li>
<li>Work with large language models for conversational AI, text generation, summarization, knowledge assistance, workflow automation, and decision support.</li>
<li>Build data-processing and feature-engineering pipelines that support reliable model training, testing, deployment, and monitoring.</li>
</ul>
<p><b>Cloud, Data Engineering &amp; Platform Integration</b></p>
<ul>
<li>Design and implement AI solutions using cloud platforms including AWS (e.g., SageMaker, Lambda, S3), Microsoft Azure, and Google Cloud Platform (e.g., Vertex AI).</li>
<li>Develop integrations between AI services, ServiceNow, enterprise applications, APIs, identity providers, databases, document repositories, and data platforms.</li>
<li>Build supporting services, APIs, microservices, automation logic, and integration components required to operationalize AI solutions.</li>
<li>Work with big-data technologies such as Apache Spark and Snowflake for large-scale data processing, analytics, and AI data pipelines.</li>
<li>Design and optimize ETL/ELT pipelines for data ingestion, transformation, validation, quality management, governance, and observability.</li>
<li>Use SQL, MySQL, PostgreSQL, MongoDB, and comparable technologies for data modeling, database management, query optimization, and data warehousing.</li>
<li>Apply secure engineering practices for authentication, authorization, secrets management, encryption, logging, error handling, and access controls.</li>
</ul>
<p><b>AI Quality, Governance &amp; Responsible AI</b></p>
<ul>
<li>Establish evaluation frameworks, test suites, representative datasets, and regression-testing practices for AI, ML, and agentic solutions.</li>
<li>Measure and optimize solution quality across relevance, accuracy, groundedness, safety, task completion, model behavior, latency, cost, reliability, and user experience.</li>
<li>Implement observability, monitoring, tracing, alerting, and feedback loops for production AI applications.</li>
<li>Define practical governance approaches for data privacy, sensitive-data handling, model access, auditability, model limitations, and responsible AI usage.</li>
<li>Implement controls for role-based access, data permissions, grounded responses, source attribution, output validation, exception handling, and human review.</li>
<li>Document architecture decisions, AI-system behavior, limitations, risk controls, operating procedures, and support requirements.</li>
</ul>
<p><b>ServiceNow, Automation &amp; Enterprise Experience</b></p>
<ul>
<li>Design AI-enabled workflow automations and intelligent experiences within ServiceNow and connected enterprise ecosystems.</li>
<li>Support chatbot, virtual-agent, employee-support, customer-service, IT operations, knowledge-management, and workflow-automation use cases.</li>
<li>Integrate AI solutions with ServiceNow capabilities such as workflow automation, IntegrationHub, Flow Designer, Virtual Agent, Now Assist, AI Agents, knowledge management, and enterprise data sources, where applicable.</li>
<li>Develop AI automation solutions using collaboration platforms and cloud AI services, including Microsoft Teams and Azure AI, where appropriate.</li>
<li>Contribute reusable implementation patterns, agent designs, integration components, evaluation assets, and accelerators that strengthen NewRocket's AI Foundry capabilities.</li>
</ul>
<p><b>Analytics &amp; Visualization</b></p>
<ul>
<li>Create interactive data visualizations and executive-ready reporting using tools such as Tableau and Power BI.</li>
<li>Develop dashboards and measurement frameworks that help stakeholders understand AI adoption, workflow outcomes, business value, operational performance, and model quality.</li>
<li>Support the definition and tracking of KPIs that demonstrate measurable value from AI-enabled solutions.</li>
</ul>
<p></p><p><b>What You Bring Along</b></p>
<ul>
<li>10+ years of experience applying AI, machine learning, data science, software engineering, or intelligent automation technologies to practical enterprise use cases.</li>
<li>Strong coding expertise in Python and SQL, with hands-on experience using ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.</li>
<li>Demonstrated experience architecting or delivering AI/ML, LLM, RAG, conversational AI, agentic AI, or AI-powered automation solutions.</li>
<li>Strong understanding of algorithms, object-oriented programming, functional design principles, software architecture, and API-based integration patterns.</li>
<li>Hands-on experience with LLM concepts and application-development patterns, including prompt engineering, context management, tokens, embeddings, vector search, RAG, tool use, structured outputs, and model evaluation.</li>
<li>Proficiency with data-science libraries such as Pandas, NumPy, Matplotlib, and Seaborn.</li>
<li>Hands-on experience with cloud platforms such as AWS, Azure, and/or Google Cloud.</li>
<li>Experience with big-data processing and cloud data platforms, including Apache Spark and Snowflake.</li>
<li>NLP experience using Hugging Face, transformer models, cloud AI services, or comparable technologies.</li>
<li>Strong understanding of database management, query optimization, data warehousing, ETL/ELT pipelines, and data-quality practices.</li>
<li>Experience with data visualization tools such as Tableau and Power BI.</li>
<li>Knowledge of responsible AI practices, including privacy, security, human oversight, hallucination mitigation, prompt-injection defenses, model limitations, and governed deployment.</li>
<li>Strong analytical, architectural, problem-solving, communication, and stakeholder-management skills.</li>
<li>Ability to collaborate effectively across client, consulting, engineering, product, data, and AI/ML teams.</li>
<li>Ability to learn and adapt quickly as AI technologies, enterprise requirements, and client needs evolve.</li>
</ul>
<p></p><p><b>Preferred Qualifications</b></p>
<p><b>
Anthropic &amp; Claude Experience</b></p>
<ul>
<li>Hands-on experience with Claude, the Anthropic API, Anthropic Console, Claude Code, or Anthropic-focused implementation guidance.</li>
<li>Completion of Anthropic Academy courses, partner enablement, technical training, or equivalent experience building Claude-powered enterprise applications.</li>
<li>Experience using Claude capabilities such as long-context processing, document analysis, tool use, structured outputs, and enterprise knowledge workflows.</li>
<li>Familiarity with Model Context Protocol (MCP) concepts and secure patterns for connecting AI applications to enterprise tools and data sources.</li>
</ul>
<p><b>Agentic AI &amp; LLM Operations</b></p>
<ul>
<li>Experience designing AI agents, multi-agent systems, AI orchestration workflows, and human-in-the-loop operating models.</li>
<li>Experience with LLM application frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or comparable frameworks.</li>
<li>Experience with vector databases, semantic retrieval, enterprise search, embeddings, document ingestion, reranking, and RAG evaluation.</li>
<li>Familiarity with AI observability, tracing, prompt/version management, evaluation frameworks, guardrails, model monitoring, and cost optimization.</li>
<li>Experience with MLOps, LLMOps, CI/CD, Docker, Kubernetes, infrastructure as code, and production cloud deployment practices.</li>
</ul>
<p></p><p><b>Education</b></p>
<ul>
<li>Bachelor's degree in Computer Science, Data Science, Artificial Intelligence/Machine Learning, Engineering, or a related technical field; equivalent relevant experience will also be considered.</li>
<li>Advanced degree or relevant AI, cloud, data, ServiceNow, or Anthropic certifications are a plus.</li></ul><br>
<p></p>
<p>
</p><p><b>We Take Care of Our People</b></p>
<p>
NewRocket is committed to a diverse and inclusive workplace. We value and celebrate diversity, believing that every employee matters and should be respected and heard. We are proud to be an equal opportunity workplace and affirmative action employer, committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin, or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, citizenship, military, or Veteran status. For individuals with disabilities who would like to request an accommodation, please contact hr.in@newrocket.com.</p></div>

Agentic AI Architect-Anthropic-UK

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.
</p><p></p><h1 class="jobSectionHeader"><b>Forward Deployed Engineer &mdash; Agentforce Orchestration
</b></h1><p></p><h3 class="jobSectionHeader"><b>About the Role
</b></h3><p><b>As a Forward Deployed Engineer (FDE) focusing on </b><b>Agentforce Operations </b>, you are a hands-on Technical Builder who designs, constructs, and deploys enterprise-grade agentic AI solutions directly inside customer environments. AFO powers the multi-agent orchestration layer, transforming messy operational workflows, unstructured data (emails, PDFs, spec sheets), and legacy ERP logs into autonomous execution engines with humans in the loop.
</p><p><b>Operating in an agile deployment pod alongside a </b><b>Deployment Strategist </b>and <b>Specialized AI Engineers </b>, you will serve as the crucial link connecting advanced AI agents to the broader enterprise technology landscape. You will write production code, architect real-time data grounding systems, perform prompt engineering, manage multi-agent communication protocols, and deploy automated supply chain and back-office workflows into production from day one.
</p><p></p><h3 class="jobSectionHeader"><b>What You'll Actually Be Building
</b></h3><ul><li><p><b>Workflow &amp; Multi-Agent Orchestration: </b>Build, configure, and optimize complex operational workflows using <b>AFO </b>, defining agent reasoning, tool-calling logic, and conditional execution loops.
</p></li><li><p><b>Agent Communication Protocols: </b>Implement modern agent-to-agent communication standards and the <b>Model Context Protocol (MCP) </b>to govern context sharing, task hand-offs, and tool execution across specialized AI agents.
</p></li><li><p><b>Enterprise AI Grounding Systems: </b>Architect, build, and maintain real-time data grounding infrastructure using <b>RAG (Retrieval-Augmented Generation) </b>, vector databases, search indexes, and knowledge bases to supply agents with accurate enterprise context.
</p></li><li><p><b>Enterprise Integration &amp; API Management: </b>Develop and maintain custom APIs (REST, GraphQL, webhooks) and integration pipelines connecting AFO/Agentforce to Salesforce Data Cloud (Data 360), cloud warehouses (Snowflake, Databricks), and core ERPs (SAP, Oracle, NetSuite) via MuleSoft or custom middleware.
</p></li><li><p><b>AI-Assisted Engineering: </b>Leverage modern AI tools ( <b>Cursor, Claude, Vibes </b>) embedded directly into your daily developer workflow to move from architecture sketch to deployable code in days, not months.
</p></li><li><p><b>Telemetry &amp; Observability: </b>Model data, ship ETL/ELT pipelines, and build real-time agent performance dashboards to track execution health, fallback triggers, and business outcomes.
</p></li><li><p><b>Field-to-Product Feedback: </b>Serve as the direct connective bridge between frontline customer deployments and core Salesforce product/engineering teams to feed edge cases and gaps back into platform feature roadmaps.
</p></li></ul><p></p><h3 class="jobSectionHeader"><b>Required Qualifications
</b></h3><ul><li><p><b>3+ years of software engineering or technical delivery experience, with at least one production AI, data engineering, or enterprise integration system deployed to production.
</b></p></li><li><p><b>High proficiency in at least one modern language: Python, JavaScript/TypeScript, Java, or Apex.
</b></p></li><li><p><b>Hands-on AI &amp; Grounding Expertise: Deep experience with LLM orchestration, prompt tuning, and building RAG pipelines, vector search indexes, and knowledge base retrievers for enterprise data.
</b></p></li><li><p><b>Multi-Agent Systems &amp; API Mastery: Practical experience with API design (REST/SOAP/webhooks) and modern agent protocols (e.g., MCP, tool calling, or event-driven messaging architectures).
</b></p></li><li><p><b>Expertise in process orchestration and API-led connectivity using tools like MuleSoft or custom middleware to bridge AI agents with legacy ERP systems.
</b></p></li><li><p><b>Solid understanding of data modeling, schema design, and asynchronous message integration patterns.
</b></p></li><li><p><b>Strong executive presence - ability to whiteboard architecture with enterprise CTOs and VPs while writing production code alongside lead architects.
</b></p></li><li><p><b>Familiarity with automation platforms (Pega, UiPath, Automation Anywhere, ServiceNow, Appian, Microsoft Power Platform) and competing enterprise AI and agent platforms (Microsoft Copilot Studio, Google Vertex AI, AWS Bedrock, IBM watsonx, Palantir AIP, ServiceNow AI Agents).
</b></p></li><li><p><b>Experience with integrated enterprise applications (Workday, Coupa, Jira, Slack, major warehouse or transportation management systems) and deployment infrastructure (Kafka, AWS EventBridge, Azure Service Bus, GitHub, Docker, Kubernetes, Terraform).
</b></p></li><li><p><b>Knowledge of data governance and master data systems (Informatica, Collibra, SAP MDG, Reltio) and operational execution platforms (Manhattan Associates, Blue Yonder, Kinaxis, Oracle transportation management).
</b></p></li><li><p><b>Understanding of enterprise security and governance: Identity and access management, OAuth, data privacy, audit logging, permissioning, and secure tool execution.
</b></p></li><li><p><b>Willingness to travel 25-30% for on-site deployment with key enterprise accounts.
</b></p></li></ul><p></p><p><b>Preferred Qualifications
</b></p><ul><li><p><b>Specific domain expertise in Supply Chain, Manufacturing, or Logistics Execution.
</b></p></li><li><p><b>Experience within the Salesforce Ecosystem (Agentforce Specialist, Data Cloud, Apex, Flow, or Headless architectures).
</b></p></li><li><p><b>Hands-on experience with cloud data platforms (Snowflake, Databricks, BigQuery).
</b></p></li><li><p><b>Proven ability to create reusable accelerators, reference architectures, connectors, and implementation playbooks from customer deployments.
</b></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>

Agentforce Operations FDE

La Fosse

<div>
 <p>
  <strong>
   AI Engineer
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    London (1 day per week in the office)
   </strong>
  </li>
  <li>
   <strong>
    Up to &pound;80,000
   </strong>
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  I'm supporting one of the UK's largest transport and infrastructure organisations as they continue to invest heavily in their Data &amp; AI capability.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This is an opportunity to join a growing AI function where you'll help deliver business-facing AI agents and automation solutions that improve decision-making, productivity and access to information across the organisation. You'll be working at the forefront of the company's AI strategy, helping shape how AI is adopted in a large-scale enterprise environment.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   The Role
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  This is a hands-on AI Engineering role focused on designing, building and deploying AI agents using Microsoft technologies. Success will come from combining strong technical capability with an ability to understand business problems and translate them into practical AI solutions.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   You'll:
  </strong>
 </p>
 <ul>
  <li>
   Build and deploy AI agents using Microsoft Copilot Studio
  </li>
  <li>
   Work with stakeholders to understand business requirements
  </li>
  <li>
   Design scalable, secure and governed AI solutions
  </li>
  <li>
   Integrate AI agents with business processes and data platforms
  </li>
  <li>
   Monitor and improve agent performance and adoption
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What I'm Looking For
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Communication is every bit as important as technical capability in this role. They're looking for someone who can engage stakeholders, understand complex business challenges and translate them into effective AI solutions.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   You'll likely have:
  </strong>
 </p>
 <ul>
  <li>
   Experience building AI agents, copilots or automation solutions
  </li>
  <li>
   Microsoft Copilot Studio experience
  </li>
  <li>
   Excellent stakeholder management and communication skills
  </li>
  <li>
   Experience gathering requirements and designing solutions
  </li>
  <li>
   Microsoft Fabric or enterprise data platform experience
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  If you're an AI Engineer who enjoys combining technical delivery with stakeholder engagement and wants to help shape AI adoption within a large enterprise, I'd be keen to discuss the opportunity.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   AI Engineer
  </strong>
 </p>
</div>


AI Engineer

SCOR

<div><p>The job holder will be a key member of the SBS &amp; Cedant Facultative P&amp;C Pricing and Modelling team supporting business written by SCOR (including SCOR Syndicate), focusing on Casualty lines of business.<br>
</p><p></p><p>The work includes pricing of key individual accounts, working with Underwriters, developing and maintaining pricing models, conducting pricing related analyses and any other ad-hoc reporting requirements. The job holder will also represent SBS Pricing &amp; Modelling Team in any ongoing and future global projects.</p></div>
<br><div><p><b>Develop, test, and maintain pricing tools:
</b></p><ul><li><p>Develop, enhance and own direct &amp; facultative casualty pricing tools and methodology in conjunction with Underwriters, Underwriting Management, CTO and the Specialty Insurance Methods and Tools team.
</p></li><li><p>Ensure pricing models are appropriately calibrated and used appropriately by Underwriters, including rate change calculation.
</p></li><li><p>Maintenance of existing pricing tools including technical documentation / specifications / change parameter documentation (including impact analysis).
</p></li><li><p>Contribute to the team objective of improving pricing processes by implementing more innovative and data-driven approaches.
</p></li><li><p>Build/enhance pricing tools leveraging MS Excel and support transition to web-based submission-to-bind platforms in a Python-based ecosystem.
</p></li><li><p>Support efforts to build/refresh predictive models (e.g. Generalized Linear Models)
</p></li><li><p>Actively build and own relationship with Casualty Underwriters and assist in change management (including training) when onboarding Underwriters on to new pricing tools or platforms.<br>
</p></li></ul><p></p><p><b>Portfolio analysis, business planning, parameterisation and outwards RI pricing:
</b></p><ul><li><p>Contribute to the annual planning (profitability) review of portfolio (deep-dive) by considering combined ratios, rate levels, inflationary effects, and class of business mix for Specialty Insurance (including SCOR Syndicate), which may include production of the Actuarial Function Report required as part of the SCOR Syndicate SBF process.
</p></li><li><p>Contribute to the annual capital model parametrisation process (Underwriting / Premium Risk), which is concluded in conjunction with Group Risk Management, Capital Modelling Team, and Underwriters.
</p></li><li><p>Development and maintenance of dashboards and various management information<br>
</p></li></ul><p></p><p><b>Reporting:
</b></p><ul><li><p>Contribute to various regulatory tasks such as the Lloyd&rsquo;s Performance Management Data Return (PMDR)
</p></li><li><p>Regular monitoring and feedback of Underwriter Adjustments, plus pricing strength (adequacy) against the long-term profitability targets.
</p></li><li><p>Any other ad-hoc reporting requirements.<br>
</p></li></ul><p></p><p><b>Projects &amp; Consulting:
</b></p><ul><li><p>Provide actuarial consulting during exploration of new projects.
</p></li><li><p>Assist with on-going underwriting projects (developing pricing requirements, systems testing, etc.) or any other ad-hoc projects<br>
</p></li></ul><p></p><p><b>Pricing and review key individual accounts:
</b></p><ul><li><p>Analyse and pricing of individual accounts typically with complex features or high premium.
</p></li><li><p>Conduct pricing reviews on accounts with high and extreme materiality to ensure that all accounts priced adheres to appropriate pricing review process as defined in Specialty Insurance Pricing Guidelines.</p></li></ul></div>
<br><div><p><b>Required experience &amp; competencies
</b></p><ul><li><p>A couple years of London Market Experience
</p></li><li><p>Knowledge of Microsoft Office (Proficiency in Excel). SQL, GIS and Programming skills ideally in R or Python is a plus
</p></li><li><p>Strong analytical skills. Pro-active, hands-on mentality and can-do attitude. Self-starter and solution oriented. Flexible, can adapt according to priorities. Expertise in digital technology and Data Engineering
</p></li><li><p>Clear communicator, able to structure an argument and ability to explain complex issues in a simple way. Team player, interested in sharing knowledge and helping to develop the team.
</p></li><li><p>Skills in data science, predictive modelling &amp; analytics, machine learning, AI
</p></li><li><p>Programming skills<br>
</p></li></ul><p></p><p><b>Required Education
</b></p><ul><li><p>Qualified actuary (FIA) or holder of an equivalent qualification from a recognised actuarial professional body.
</p></li><li><p>Excellent academic qualifications including a minimum of a bachelor&rsquo;s degree in mathematics, actuarial science, other scientific discipline (statistics, physics, natural science), economics or finance. An advanced degree (master&rsquo;s or PhD) would be a plus.</p></li></ul></div>
<br><div><p>As a leading global reinsurer, SCOR offers its clients a diversified and innovative range of reinsurance and insurance solutions and services to control and manage risk. Applying &ldquo;The Art &amp; Science of Risk,&rdquo; SCOR uses its industry-recognized expertise and cutting-edge financial solutions to serve its clients and contribute to the welfare and resilience of society in around 160 countries worldwide.
</p><p>Working at SCOR means engaging with some of the best minds in the industry &ndash; actuaries, data scientists, underwriters, risk modelers, engineers, and many others &ndash; as we work together to find solutions to pressing challenges facing societies.
</p><p>As an international company, our common culture is defined by &ldquo;The SCOR Way.&rdquo; Serving both to build momentum that drives the Group forward and as a compass to guide our actions and choices, The SCOR Way is anchored by five core values, reflecting the input of employees at all levels of the Group. We care about clients, people, and societies. We perform with integrity. We act with courage. We encourage open minds. And we thrive through collaboration.
</p><p>SCOR supports inclusion and the diversity of talents, and all positions are open to people with disabilities.</p></div>

Pricing Actuary

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

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