data engineer

data scientist

senior data engineer

senior data scientist

analytics engineer

data engineering specialist

Arcadis

<p></p><div><p>Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets.</p>
<p>
We are more than 34,000 people, in over 30 countries, dedicated to improving quality of life. Everyone has an important role to play. With the power of many curious minds, together we can solve the world&rsquo;s most complex challenges and deliver more impact together.</p>
<p><b>
Role description:</b></p>
<div>
Arcadis is seeking a <b>Senior Data Engineer </b>to design, develop, and optimise enterprise-scale data solutions that support major projects, programmes, and business functions.
</div><div>As a technical specialist within multidisciplinary teams, you will lead the delivery of robust, scalable, and secure data platforms, pipelines, and products that enable reporting, analytics, digital transformation, and data-driven decision-making. Working with technologies such as Microsoft Fabric, Azure Data Services, SQL, and Power BI, you will ensure data is managed effectively throughout its lifecycle, and contribute to effective Information Management across all teams and business functions.
</div><div>The role combines strong technical expertise with stakeholder engagement, requiring the ability to translate business requirements into sustainable data solutions while promoting best practice in data engineering, governance, information management, automation, and cyber security.
</div>
<p><b>Role accountabilities:</b></p>
<ul>
<li>Design, develop, and maintain scalable data pipelines, integrations, and transformation processes across multiple data sources.</li>
<li>Lead the implementation and optimisation of Microsoft Fabric and associated cloud-based data engineering solutions.</li>
<li>Build and maintain enterprise data products, data models, and structured datasets that support reporting, analytics, and operational decision-making.</li>
<li>Establish and apply data quality, validation, and assurance frameworks to ensure the accuracy, completeness, and reliability of data assets.</li>
<li>Collaborate with project teams, business stakeholders, analysts, and digital specialists to define and deliver data requirements.</li>
<li>Drive continuous improvement through automation, process optimisation, and adoption of industry best practices.</li>
<li>Ensure compliance with Arcadis standards relating to information management, data governance, cyber security, and data privacy.</li>
<li>Troubleshoot and resolve complex data-related issues, providing technical expertise and guidance to project teams.</li>
<li>Produce and maintain technical documentation, architecture diagrams, standards, and operational procedures.</li>
<li>Support the development of junior team members through mentoring, knowledge sharing, and technical leadership.</li>
<li>Contribute to the development of organisational data engineering standards, frameworks, and reusable solutions.</li>
<li><div>Support solution architecture, platform design, and strategic data initiatives across programmes and business functions.
</div></li></ul><p><b>Qualifications &amp; Experience:</b></p>
<div>
<b>Essential Experience</b>
</div><ul><li>Demonstrable experience delivering data engineering solutions within complex project, programme, or enterprise environments.</li>
<li>Strong experience designing and maintaining ETL/ELT pipelines, data integration processes, and structured data platforms.</li>
<li>Experience working with Microsoft Fabric, Azure Data Services, SQL, Power BI, or equivalent modern data platforms.</li>
<li>Strong understanding of data modelling, database design, metadata management, and data architecture principles.</li>
<li>Experience implementing data quality, governance, and assurance practices.</li>
<li>Experience supporting reporting, analytics, and business intelligence solutions.</li>
<li>Understanding of information security, cyber security, and data protection requirements within enterprise environments.</li>
<li>Experience working directly with stakeholders to gather requirements and translate them into technical solutions.</li>
<li>Ability to manage competing priorities and deliver high-quality outputs within project timescales.</li>
</ul><div><b>Desirable Experience</b>
</div><ul><li><div>Experience within engineering, infrastructure, construction, programme controls, PMO, or consultancy environments.
</div></li><li>Experience with cloud-native architectures, DevOps, CI/CD pipelines, and DataOps practices.</li>
<li><div>Knowledge of Python, Spark, PySpark, Databricks, or equivalent data engineering technologies.
</div></li><li><div>Information Management in a complex construction or infrastructure project/programme
</div></li><li>Experience developing enterprise data products and supporting AI or advanced analytics initiatives.</li>
</ul><div><b>Education / Background</b>
</div><div>One or more of the following:
</div><ul><li>Degree in Computer Science, Data Engineering, Data Science, Information Systems, Software Engineering, or related discipline.</li>
<li>Professional certifications in Microsoft Fabric, Azure Data Engineering, Data Management, or equivalent.</li>
<li>Equivalent demonstrable experience delivering complex data engineering solutions.</li>
</ul><div><b>Key Competencies</b>
</div><ul><li>Strong analytical and problem-solving capability.</li>
<li>Technical leadership and mentoring skills.</li>
<li>Excellent stakeholder engagement and communication skills.</li>
<li>Ability to influence data management best practice across teams.</li>
<li>Continuous improvement mindset with a focus on automation and innovation.</li>
<li>Commitment to quality, sustainability, and secure data practices.</li>
</ul>
<p>Why Arcadis?</p>
<p>
We can only achieve our goals when everyone is empowered to be their best. We believe everyone's contribution matters. It&rsquo;s why we are pioneering a skills-based approach, where you can harness your unique experience and expertise to carve your career path and maximize the impact we can make together.</p>
<p>
You&rsquo;ll do meaningful work, and no matter what role, you&rsquo;ll be helping to deliver sustainable solutions for a more prosperous planet. Make your mark, on your career, your colleagues, your clients, your life and the world around you.</p>
<p>
Together, we can create a lasting legacy.</p>
<p>
Join Arcadis. Create a Legacy.</p>
<p>
Our Commitment to Equality, Diversity, Inclusion &amp; Belonging</p>
<p>
We want you to be able to bring your best self to work every day which is why we take equality and inclusion seriously and hold ourselves to account for our actions. Our ambition is to be an employer of choice and provide a great place to work for all our people. We believe that by working together diverse people with different experiences develop the most innovative ideas. Equality, diversity and inclusion is at the heart of how we improve quality of life and we work closely with our people across six ED&amp;I Workstreams: Age, Disability, Faith, Gender, LGBT+ and Race. A diverse and skilled workforce is essential to our success.</p></div><p></p>

Senior Data Engineer

Office for National Statistics

Senior Data Engineer - (GCP)

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)

Moore Kingston Smith

<div><h3 class="jobSectionHeader"><b>Description</b></h3><div><br>
We are looking for a senior, hands-on <b>Cyber Security Architect &amp; Engineering Lead</b> to help shape and strengthen our future security architecture at Moore Kingston Smith.<br>
<br>
This is a technical leadership role, sitting within our Information Security team and reporting to the Head of Information Security. You will be responsible for translating security strategy and business requirements into secure designs, practical controls, technical standards and measurable outcomes.<br>
<br>
This is not a purely advisory or compliance-focused position. We are looking for someone who can design, prototype, configure, guide implementation and validate the effectiveness of security controls across identity, cloud, data, endpoints, applications, networks and third-party services.<br>
<br>
A key part of the role will be helping the firm adopt AI and emerging technologies securely, including Microsoft 365 Copilot, AI agents, custom AI applications and data-driven platforms.</div><h3 class="jobSectionHeader"><b><br>
Key Responsibilities</b></h3><br>
<ul>
<li>
Define and maintain security architecture across identity, endpoints, networks, cloud, SaaS, data, applications and integration platforms.</li>
<li>Design and implement modern security controls, with a strong focus on Zero Trust, secure-by-design principles and automation.</li>
<li>Lead security architecture reviews and threat modelling for major projects, new products, high-risk integrations and emerging technologies.</li>
<li>Act as the technical lead for AI security, helping to establish practical controls for Microsoft 365 Copilot, AI agents, custom AI applications and related technologies.</li>
<li>Provide senior technical oversight across security monitoring, detection engineering, incident response and recovery capability.</li>
<li>Lead or support the response to complex or high-severity security incidents, working with internal teams, external SOC providers and specialist partners.</li>
<li>Improve vulnerability and exposure management, using business risk, exploitability, attack-path context and threat intelligence to prioritise remediation.</li>
<li>Support the technical implementation and evidence required for ISO 27001, Cyber Essentials Plus, client assurance and other regulatory or contractual obligations.</li>
<li>Provide clear, risk-based technical advice to senior leaders, project teams and technology owners.</li>
<li>Coach technology teams in secure design and engineering practices, helping to build security capability beyond the core security team.</li></ul><br>
<h3 class="jobSectionHeader"><b>
What we&rsquo;re looking for</b></h3><div><br>
We are looking for someone with demonstrable experience in cyber security architecture, security engineering or a closely related senior technical security role.<br>
<br>
You will need:</div><ul>
<li>Strong experience designing and implementing security controls in a Microsoft-centric environment, including Microsoft 365, Entra ID, Defender XDR, Sentinel, Azure and Microsoft Purview.</li>
<li>Strong knowledge of identity security, Zero Trust, cloud security, data security, endpoint security, network security, application security, API security and secure software development.</li>
<li>Experience of security architecture review, threat modelling, technical standards, reference architecture and control design.</li>
<li>Practical experience across incident response, detection engineering, threat hunting, vulnerability or exposure management and security automation.</li>
<li>Ability to automate security and assurance processes using tools such as Python, PowerShell, Logic Apps, Azure Functions, APIs, infrastructure as code or equivalent platforms.</li>
<li>Working knowledge of ISO 27001, Cyber Essentials Plus, NIST CSF and recognised AI security or governance frameworks.</li>
<li>The ability to explain complex technical risk clearly to senior stakeholders and influence delivery teams without relying on formal authority.</li>
<li>A practical, outcome-focused approach, with a track record of taking ownership, improving controls and validating that they work effectively.</li>
</ul><div>Experience in a regulated, client-confidential or professional services environment would be advantageous.<br>
<br>
<b>Desirable certifications</b><br>
Relevant certifications would be beneficial, such as:</div><ul>
<li>Microsoft Certified: Cybersecurity Architect Expert, SC-100</li>
<li>CISSP or CCSP</li>
<li>Microsoft security certifications such as AZ-500 or SC-200</li>
<li>GIAC certifications in incident response, cloud, detection or forensics</li>
<li>ISO 27001 Lead Implementer or Lead Auditor</li>
<li>Architecture or threat-modelling accreditation such as SABSA, TOGAF or equivalent practical experience</li>
</ul><div>You will be a practical problem-solver who is comfortable moving between architecture, configuration, testing and stakeholder engagement. You&rsquo;ll be confident challenging outdated controls and practices, while staying pragmatic, commercially aware and focused on business outcomes.<br>
</div><div>You&rsquo;ll also be calm under pressure, collaborative in your approach and able to build trust with both technical and non-technical teams.<br>
</div><div><b><i>If interested please download the full job spec.</i></b></div><h3 class="jobSectionHeader"><b><br>
Job Benefits</b></h3><div></div><h3 class="jobSectionHeader"><b><br>
About Moore Kingston Smith</b></h3><div>
 At Moore Kingston Smith, we believe in the potential of people to make a positive impact, fuelled by the power of genuine understanding.</div><div>
</div><div>
Working with small, medium and large clients, we are a multi-disciplinary advisory, tax and audit firm with expertise across multiple sectors, uniquely positioned to help people realise their ambitions.</div><div>
</div><div>
Our London and regional teams deliver quality results locally and nationally, and worldwide alongside the Moore Global network.</div><div>
</div><div>
Through respect, collaboration and active listening, understanding is at the heart of everything we do with our clients, colleagues and communities. We value people and projects that promote positive change for the future.</div><div>
<br>
 Come and join us to make a difference.</div></div>

Cyber Security Architect & Engineering Lead

<p></p><div><div><div>Ref Number</div>
<div>B02-11143</div>
<div>Professional Expertise</div>
<div>Research and Research Support</div>
<div>Department</div>
<div>School of Life &amp; Medical Sciences (B02)</div>
<div>Location</div>
<div>London</div>
<div>Working Pattern</div>
<div>Full time</div>
<div>Salary</div>
<div>See advert text</div>
<div>Contract Type</div>
<div>Permanent</div>
<div>Working Type</div>
<div>On site</div>
<div>Available for Secondment</div>
<div>No</div>
<div>Closing Date</div>
<div>08-Sept-2026</div>
</div><p></p><h2 class="jobSectionHeader"><b>About us</b></h2>
<p></p><p>This post is based in <b>Professor Jasmin Fisher&rsquo;s laboratory at the UCL Cancer Institute</b>. The UCL Cancer Institute is a world-leading centre for cancer research, bringing together more than 400 scientists and clinicians who work collaboratively to understand cancer and translate discoveries into improved diagnostics, treatments and patient outcomes. <b>https://www.ucl.ac.uk/cancer/</b>.</p>
<p>We are seeking a highly motivated and talented Senior Research Fellow in Software Development to join an ambitious and multidisciplinary research programme focused on understanding cancer using AI to generate digital tumour twins. This programme aims to transform cancer research and precision oncology by developing a new generation of transparent, interpretable and trustworthy AI technologies that integrate machine learning, mechanistic modelling, formal verification and large-scale biomedical data.</p>
<p>Cancer is a complex, multi-scale disease involving interacting processes across the molecular, cellular, tissue and organ levels. At the same time, advances in genomics, molecular profiling, pathology, imaging and clinical data collection have generated unprecedented volumes of multimodal cancer data. A major challenge is to integrate these diverse data sources into coherent computational frameworks that can generate biological insights, support clinical decision-making and accelerate therapeutic discovery.</p>
<p>The Fisher laboratory addresses this challenge through the development of tumour digital twins, which are executable mechanistic models that capture the biological behaviour of individual tumours and can be used to predict disease progression and treatment response. A central goal of the programme is to develop a novel neurosymbolic AI platform that combine the power of large language models and machine learning with formal reasoning, mechanistic modelling and formal verification to automatically construct and validate transparent, interpretable biologically grounded models directly from large-scale cancer datasets and scientific knowledge.</p>
<p></p><h2 class="jobSectionHeader"><b>About the role</b></h2>
<p></p><p>The successful candidate will play a central role in the design and development of a neurosymbolic AI platform for cancer. They will contribute to the integration and analysis of large-scale multi-omics and clinical cancer datasets, the development and fine-tuning of AI models and the creation of explainable and verifiable computational frameworks for tumour digital twins. Working at the intersection of artificial intelligence, formal methods and cancer research, the postholder will collaborate closely also with Professor Mateja Jamnik and her group in the Department of Computer Science and Technology at University of Cambridge, alongside biologists, clinicians and computer scientists from partner organisations.</p>
<p>The research will contribute to fundamental advances in our understanding of cancer biology while supporting the development of innovative approaches for patient stratification, therapeutic target discovery, treatment optimisation and precision oncology. The successful candidate will have the opportunity to publish in leading journals, present their work at major international conferences and contribute to the development of transformative AI technologies with significant scientific and clinical impact.</p>
<p>This is an exceptional opportunity for an ambitious research software development engineer (RSDE) who is passionate about applying cutting-edge formal verification and AI technologies to challenging real-world problems in biomedicine. The position offers the chance to work at the forefront of trustworthy neurosymbolic AI, formal reasoning, computational biology and cancer systems medicine, within a world-leading research environment committed to scientific excellence and translational impact.</p>
<p><b>Appointment at Grade 7 and Grade 8 is dependent upon the successful award of a PhD</b>. Candidates who have not yet been awarded their PhD may be appointed initially at Research Assistant Grade 6B (with progression to Grade 7 and backdated salary adjustment upon submission of the final corrected PhD thesis.</p>
<p><b>Appointment at Grade 8 is contingent on the candidate&rsquo;s previous experience.</b></p>
<p>For more details about the Fisher Lab, please visit: <b>www.ucl.ac.uk/cancer/fisher-lab</b><b>
</b></p><p>This post is funded for 3 years in the first instance, with a probationary period of 9 months.</p>
<p>The position is available from <b>1</b><b>st</b><b> October 2026</b>, and early availability would be advantageous.</p>
<p><b>Interviews will be held in September 2026.</b></p>
<p><b>Applications should include a CV and a Cover Letter:</b> In the Cover Letter, please provide evidence of the essential and desirable criteria in the Person Specification part of the Job Description. (By including a Cover Letter, you can leave blank the 'Why you have applied for this role' field in the application form, which is limited in the number of characters it will allow.)</p>
<p></p><h2 class="jobSectionHeader"><b>About you</b></h2>
<p></p><div><p>You will hold a PhD in Computer Science, Software Engineering, Machine Learning, Mathematics, Physics or a related quantitative discipline, with a strong track record in software development and/or research. You have extensive experience designing, building and maintaining robust, scalable software systems, and are proficient in modern software engineering practices, including version control, automated testing, documentation and CI/CD workflows.</p>
<p>You have experience developing and deploying AI-enabled applications, including machine learning, large language models and generative AI technologies, and are comfortable working with cloud platforms, distributed computing environments and data-intensive systems. You are an analytical problem-solver with excellent communication skills, able to explain complex technical concepts to both specialist and non-specialist audiences.</p>
<p>Most importantly, you thrive in collaborative, multidisciplinary environments and are motivated by the opportunity to develop trustworthy, transparent AI technologies with real-world impact. You bring a proactive approach, a commitment to technical excellence and reproducibility, and a genuine enthusiasm for working at the intersection of artificial intelligence, software engineering and cancer research.</p>
</div><p></p><h2 class="jobSectionHeader"><b>What we offer</b></h2>
<p></p><p>As well as the exciting opportunities this role presents we also offer some great benefits some of which are below</p>
<ul><li><div><ul><li>41 Days holiday (including 27 days annual leave 8 bank holiday and 6 closure days)</li>
<li>Defined benefit career average revalued earnings pension scheme (CARE)</li>
<li>Cycle to work scheme and season ticket loan</li>
<li>On-Site nursery</li>
<li>On-site gym Enhanced maternity, paternity and adoption pay</li>
<li>Employee assistance programme</li>
<li>Staff Support Service Discounted medical insurance</li>
</ul></div></li></ul><p>For rewards and benefits at UCL please visit:</p>
<p><b>Staff Benefits | UCL People &amp;</b><b> </b>C<b>ulture - UCL &ndash; University College London</b></p>
<p></p><h2 class="jobSectionHeader"><b>Our commitment to Equality, Diversity and Inclusion</b></h2>
<p></p><p>As London&rsquo;s Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world&rsquo;s talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong. We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL&rsquo;s workforce. These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and for our Grade 9 and 10 roles, women.</p>
<p>You can read more about our commitment to Equality, Diversity and Inclusion here:</p>
<p><b>Equality, Diversity &amp; Inclusion: Think differently, do differently. | Office of the President and Provost (Equality, Diversity &amp; Inclusion) - UCL &ndash; University College London</b></p></div><p></p>

Research Fellow / Senior Research Fellow in Software Development for Cancer Digital Twins

National Grid

<div><div><div><div><div><div><div>Team</div>
<div><b>Information Technology and Digital</b>
</div><div>Business Unit</div>
<div><b>IT and Digital</b>
</div><div>Requisition No.</div>
<div><b>10530</b>
</div><div><div>City</div>
<div><b>London, GB, WC1A 2TH</b>
</div><div><b>Warwick, GB, CV34 6DA</b>
</div></div><div>Date posted</div>
<div><b>27 August 2026</b></div></div></div><p></p><div><br>
</div></div><div></div><div><h1 class="jobSectionHeader"><b>Senior AI Full Stack Engineer</b></h1><div><div><div><div><br>
</div><div><p>At National Grid, we keep people connected and society moving. But it&rsquo;s so much more than that. National Grid supplies us with the environment to make it happen. As we generate momentum in the energy transition for all, we don&rsquo;t plan on leaving any of our customers in the dark. So, join us as a <b>Senior AI Full Stack Engineer </b>and find your superpower.</p>
<p>This is a senior design role for someone who can operate across product design, AI-assisted delivery, strategic discovery and hands-on product development. The role is not limited to producing design artefacts or handing over designs to engineering. It is expected to work directly with product owners, engineers, data teams and senior stakeholders to turn ambiguous strategic intent into usable, valuable and deliverable product experiences.</p>
<p>An immediate focus for the role is the Strategic Review platform: National Grid&rsquo;s internal tool for programme visibility, strategic initiative tracking and executive-level data storytelling. The platform includes a proof-of-concept Connections Dashboard moving toward production, a financial reporting capability being scoped, and an evolving AI layer that will support analysis and chat against underlying data.</p>
<p>The Senior AI Product Designer will be responsible for the design quality, user experience and interaction model of these AI-enabled products. They will work across discovery, prototyping, interface design, design-system alignment, AI interaction design, and &mdash; where appropriate &mdash; AI-assisted front-end implementation. The role is expected to help collapse the gap between design intent and working software, using AI tools to move quickly from concept to tested, usable product experiences.</p>
<p>This role is for someone who can operate with senior autonomy: absorbing ambiguous problems, shaping them into clear product direction, creating high-quality design outputs, and partnering closely with engineering to make sure what is shipped is not only functional, but genuinely usable and valuable.</p>
<p><b>This role operates under a hybrid working model and is based out of the Warwick,UK office. Hybrid work expectations are subject to business needs and company polic</b></p>
</div></div><div><div><h3 class="jobSectionHeader"><b>Job Purpose</b></h3>
</div><div><p>We are looking for an AI Engineer to help design, build and operate AI-enabled internal products and platforms across National Grid.</p>
<p>This is a hands-on senior engineering role for someone who can move confidently between modern web application development and applied AI engineering. The role is not focused solely on model development or experimentation. It is responsible for turning AI capabilities into secure, maintainable and production-ready products that solve real organisational problems.</p>
<p>An immediate focus is the Strategic Review platform: National Grid's internal tool for programme visibility, strategic initiative tracking and executive-level data storytelling. The platform includes a Connections Dashboard moving toward production, a financial reporting capability being scoped, and an evolving AI layer supporting analysis and conversational access to underlying data.</p>
<p>The AI Engineer will develop this AI layer and the wider product capabilities around it. This includes building chat interfaces, agentic workflows, tool integrations, structured outputs, retrieval and grounding mechanisms, evaluation frameworks, observability, and appropriate human-in-the-loop controls.</p>
<p>The role requires strong experience with TypeScript, React and modern full-stack web development. Experience with the Vercel AI SDK is particularly valuable, including streaming interfaces, tool calling and agent orchestration. Payload CMS experience is a significant advantage because it is used extensively across the platform.</p>
<p>This role is for someone who can operate with senior autonomy: understanding ambiguous requirements, shaping sound technical approaches, delivering high-quality software and working closely with product, design, data, architecture and security teams to take AI products from proof of concept into production.</p>
</div></div><div><div><h3 class="jobSectionHeader"><b>What You'll Do
</b></h3></div><div><div><h4 class="jobSectionHeader"><b>AI Product Development</b></h4>
<ul><li>Design and develop full-stack AI applications using TypeScript, React, and modern web technologies.</li>
<li>Build conversational interfaces with streaming responses, intuitive user experiences, and robust error handling.</li>
<li>Develop AI solutions using frameworks such as Vercel AI SDK, LangGraph, LangChain, or similar platforms.</li>
<li>Translate business requirements into scalable, maintainable technical solutions.</li>
<li>Create reusable patterns for AI chat, workflow automation, content generation, and analytics.</li>
<li>Integrate AI capabilities into existing products and business processes.</li>
<li>Ensure high standards of performance, security, accessibility, maintainability, and code quality.</li>
</ul><h4 class="jobSectionHeader"><b>Agentic Systems &amp; Conversational AI</b></h4>
<ul><li>Design and implement AI agents capable of multi-step reasoning, tool selection, and workflow execution.</li>
<li>Develop integrations with enterprise applications, APIs, and approved data sources.</li>
<li>Define agent state, memory, context management, validation rules, retry logic, and failure handling.</li>
<li>Implement human-in-the-loop approval processes for sensitive or high-impact actions.</li>
<li>Ensure transparency through source attribution, execution tracking, and auditability.</li>
</ul><h4 class="jobSectionHeader"><b>AI Quality, Evaluation &amp; Observability</b></h4>
<ul><li>Develop evaluation frameworks, test datasets, and quality metrics for AI features.</li>
<li>Monitor answer quality, groundedness, tool usage, latency, output accuracy, and operational cost.</li>
<li>Implement logging, tracing, monitoring, and observability capabilities for AI workflows.</li>
<li>Continuously improve prompts, models, tools, and workflows through data-driven feedback.</li>
<li>Manage prompts, model configurations, and evaluation criteria as version-controlled assets.</li>
</ul><h4 class="jobSectionHeader"><b>Data &amp; Integration</b></h4>
<ul><li>Integrate AI capabilities with structured and unstructured enterprise data sources.</li>
<li>Implement retrieval, grounding, and context-engineering strategies to improve response quality.</li>
<li>Build secure integrations with APIs, content management systems, data platforms, and business applications.</li>
<li>Ensure compliance with data security, authorization, governance, and audit requirements.</li>
<li>Support source attribution, data lineage, and information freshness controls.</li>
</ul><h4 class="jobSectionHeader"><b>Engineering &amp; Delivery</b></h4>
<ul><li>Write clean, tested, maintainable code following established engineering standards.</li>
<li>Participate in architecture reviews, technical design discussions, and code reviews.</li>
<li>Implement automated testing across applications, integrations, and AI workflows.</li>
<li>Support continuous delivery while managing technical debt and maintaining enterprise standards.</li>
<li>Establish best practices for AI-assisted development tools, including GitHub Copilot, Claude Code, and related platforms.</li>
</ul><h4 class="jobSectionHeader"><b>Collaboration &amp; Leadership</b></h4>
<ul><li>Partner with Product, Design, Architecture, Security, Data, and Engineering teams.</li>
<li>Provide technical expertise throughout discovery, design, development, testing, deployment, and adoption.</li>
<li>Communicate technical recommendations, trade-offs, and risks to stakeholders.</li>
<li>Mentor engineers and contribute to AI engineering standards and best practices.</li>
<li>Help establish scalable frameworks for enterprise AI product delivery.</li>
</ul></div></div></div><div><div><h3 class="jobSectionHeader"><b>What You'll Get
</b></h3></div><div><ul><li>Proven experience as a senior Software Engineer, AI Engineer, Full-Stack Engineer or equivalent, delivering complex digital products.</li>
<li>Strong professional experience with TypeScript and React.</li>
<li>Experience building modern full-stack web applications using frameworks such as Next.js.</li>
<li>Practical experience building AI-enabled product features, not only isolated model experiments or notebooks.</li>
<li>Experience with the Vercel AI SDK or comparable AI application frameworks.</li>
<li>Experience building conversational or chatbot interfaces, including streaming responses and interaction-state management.</li>
<li>Understanding of agentic systems, tool calling, structured outputs and multi-step AI workflows.</li>
<li>Experience integrating large language models with application data and external services.</li>
<li>Ability to design clear boundaries between deterministic code and model-driven behaviour.</li>
<li>Strong understanding of API design, authentication, authorisation and secure data handling.</li>
<li>Experience testing and debugging asynchronous, distributed or integration-heavy application behaviour.</li>
<li>Understanding of AI evaluation, observability, grounding and common failure modes.</li>
<li>Ability to translate ambiguous product requirements into sound technical designs and working software.</li>
<li>Strong engineering judgement, including the ability to balance delivery speed with maintainability and operational risk.</li>
<li>Comfortable working in a fast-moving, cross-functional team where product, design and engineering decisions are made collaboratively.</li>
<li>Clear written and verbal communication with both technical and non-technical audiences.</li>
<li>High degree of autonomy and ownership from discovery through production support.</li>
</ul></div></div><div><div><h3 class="jobSectionHeader"><b>What You'll Get</b></h3>
</div><div><ul><li>Competitive Salary: circa &pound;65,000 - &pound;80,000 per annum (dependent on location, capability, and experience).</li><br>
</ul><p><br>
<b>Additional benefits:</b><br>
<br>
</p><ul><li>Flexible benefits such as a cycle scheme, share incentive plan, technology schemes</li>
<li>Ongoing career development and support to help you cover the cost of professional membership subscriptions, course fees, books, examination fees and time off for study leave &ndash; so long as it is relevant to your role</li>
<li>Access to apps such as digital GP service for round the clock access to GP video consultations and NHS repeat prescriptions, wellbeing app to support your health and fitness</li>
<li>Access to Work + Family Space, providing support and resources for work and family life, including paid emergency childcare and eldercare</li>
</ul><p>#LI-RK1 #LI-HYBRID</p>
</div></div></div><p>We value diversity and are committed to creating an inclusive workplace for all. We welcome applications from all suitably qualified candidates &ndash; we make appointments purely on merit, assessed against objective selection criteria. We support flexible working and will make reasonable adjustments throughout the recruitment process should you have any physical or mental impairment which may affect your ability to participate in the process.</p>
<p>Please note that in most cases, National Grid is unable to offer sponsorship for employment under the UK points-based immigration system. As such, applicants must have the legal right to work in the UK without requiring sponsorship now or in the future under the UK points-based immigration system. However, in exceptional circumstances where there is a clear and demonstrable need for specialist skills that cannot be sourced from the local labour market, National Grid may consider offering sponsorship. All applications are welcome from candidates who meet these requirements, regardless of race, nationality, or ethnic origin.</p></div></div></div></div></div><div></div>

Senior AI Full Stack 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.
</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

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