ai engineer

software engineer

full stack engineer

devops engineer

platform engineer

forward deployed engineer

<div><div><p><b>Location</b>: London</p>
<p><b>
Office requirement </b>: 2 days in the office - Significant travel required</p>
<p><b>
Employment type</b>: Permanent</p>
<b>
Seniority level</b>: Principal</div><br>
<p></p>
<p>
At GWI we're always looking for extraordinary people who thrive on making an extraordinary impact. Right now we're looking for an <b>Forward Deployed Engineer</b> to play a key role in our <b>Solutions Consultants Team</b> in London. If that's you, and making a difference gets you out of bed in the morning, keep reading. It could be the start of something, well, extraordinary.</p><br>
<p></p>
<h1 class="jobSectionHeader"><b>
Sounds great, what will I be doing?</b></h1>
<p>
As our Lead / Principal Forward Deployed Engineer you'll be embedded directly with our most strategic accounts, owning the end-to-end technical deployment of our agentic AI platform. This isn't a support role, and it isn't a solutions consultant with a fancy title &mdash; you'll write production code, own technical outcomes, and be the reason our biggest customers succeed and expand. You'll operate with the autonomy of a founding engineer and the commercial instinct of a GTM leader.</p><br>
<div>
<p>A few things you'll be responsible for:</p>
<p>
 Embed with our Tier 1 enterprise accounts and own end-to-end deployments of our agentic AI platform &mdash; from discovery through to production, including bespoke integrations, data pipelines, and workflow automations.</p>
<p>
 Lead AI agents into production in complex environments (legacy systems, security, compliance), turning cutting-edge capability into measurable business outcomes.</p>
<p>
 Partner with Enterprise AEs in late-stage sales cycles &mdash; leading proof-of-concept builds and assessing technical readiness to de-risk and accelerate the close.</p>
<p>
 Surface patterns from the field and feed them back to product and engineering, acting as the bridge between customer reality and roadmap.</p>
<p>
 Build out the FDE practice as it scales: repeatable deployment playbooks, success metrics, and mentoring mid-level FDEs.</p>
<p>
It's also fun; shaking things up is what working for GWI is all about. You'll need to be flexible, comfortable with continuous change, and working in a high-tempo environment.</p></div><br>
<p></p>
<h1 class="jobSectionHeader"><b>
What do I need to bring with me?</b></h1>
<p>
You'll need to be able to demonstrate the core skills this role requires. You don't have to tick all the boxes right away; the important thing is that you're willing to learn.
<br>
Here's what the team will be looking for in you:</p>
<p>
 Significant experience in software engineering, solutions engineering, or a customer-facing technical role &mdash; with meaningful time spent shipping production code in complex enterprise environments.</p>
<p>
 Demonstrable experience deploying AI or data-heavy products into large organisations &mdash; real production deployments, not just POCs.</p>
<p>
 Strong full-stack or backend engineering fundamentals: Python essential, plus comfort across APIs, SQL, cloud infrastructure (AWS/GCP/Azure), and data pipelines.</p>
<p>
 The ability to work through ambiguity and turn it into a concrete technical plan.</p>
<p>
 Clear communication across technical and business audiences &mdash; you can tailor the same idea for an engineering lead and a commercial stakeholder.</p>
<p>
 Willingness to travel to client sites across the UK and Europe (approximately 30&ndash;50% of the time).</p><br>
<p></p>
<p>
Nice to have:</p>
<p>
 Hands-on experience with LLM deployment, AI agents, or agentic workflow automation.</p>
<p>
 A background in a high-growth B2B SaaS or AI-native company.</p>
<p>
 Experience in one or more of GWI's core verticals: financial services, media &amp; agencies, consumer goods, or technology.</p>
<p>
 Prior experience in an FDE, solutions architect, or technical account management function at a company with a named-account enterprise motion.</p><br>
<p></p>
<p>
Equally important is attitude. We want people who think big (to make an impact), ask why (to find a better way), and show respect (to everyone, at every level, all the time). Those are our values, and they're a big part of what we're looking for in you.</p>
<h1 class="jobSectionHeader"><b>
What's in it for me?</b></h1>
<p>
At GWI, you'll find meaningful work, visible impact, and a culture that empowers you to do your best. Our package includes:</p>
<p>
 Time to recharge &ndash; 25 days' annual leave, plus office closures over the holidays.</p>
<p>
 Health &amp; wellbeing &ndash; Health cash plan, enhanced family benefits, carer days, and mental health support.</p>
<p>
 Financial benefits &ndash; Competitive salary, 4% pension matching, and recognition programs that celebrate success.</p>
<p>
 Flexibility &amp; balance &ndash; Flexitime, early Friday finishes, hybrid and remote options, plus a &quot;work from home&quot; budget.</p>
<p>
 Career growth &ndash; Accredited learning, leadership development, and global career mobility.</p>
<p>
 Community &amp; impact &ndash; DE&amp;I initiatives, volunteering opportunities, donation matching, and payroll giving.</p><br>
<p></p>
<p>
Put all that together and GWI is the friendliest, most fulfilling place any of us has ever worked.</p><br>
<p></p>
<h1 class="jobSectionHeader"><b>
Diversity, Equity &amp; Inclusion</b></h1>
<p>
Diversity is fundamental to who we are&mdash;both as a data company and as a workplace. Our data reflects global realities, and so must our teams. We strive to ensure our workforce is as diverse and inclusive as the insights we provide to our clients.</p>
<p>
As a Disability Confident employer, we welcome applications from disabled candidates and are committed to providing all necessary adjustments during the hiring process. We also actively encourage applications from underrepresented and marginalized communities.</p>
<p>
At GWI, you will find a place where you can contribute meaningfully, grow professionally, and belong fully.</p><br>
<p></p>
<p></p>
<p>#li-hybrid<br>
#LI-NIKOSSS1</p></div>

Forward Deployed Engineer

Ophelos

<div><div><h2 class="jobSectionHeader"><b>Our Mission</b></h2>
<p>
At Ophelos, we believe in a different way to deal with debt. One that puts empathy and understanding front and centre, approaching our customers as individuals &mdash; no matter what they're going through.</p>
<p>
For too long, people in debt have borne the brunt of poor industry practices. Intimidating tactics, time-consuming customer service and a one-size-fits-all approach that overlooks the reasons <i>anyone</i> can fall into debt in the first place. Meanwhile, businesses suffer too. Poor customer experience translates to poor customer satisfaction, high churn rates, bad brand reputation and ultimately missed opportunities.</p>
<p>
That's why we're taking a radically different approach. Pioneering an industry-first AI-native collections platform, we build products that help individuals clear their debts in a way that suits them, whilst providing businesses with an improved customer experience and game-changing insights into their customer base.</p>
<p>
Since our launch in 2021, we've worked with some of the UK's leading companies, including Octopus, Scottish Power and Philips &mdash; helping millions of people move toward a more stable, debt-free future. In 2023, we were acquired by Intrum, Europe's biggest credit management service and have begun the next phase in our growth &mdash; expansion into 17 European markets over the next two years.</p></div><h1 class="jobSectionHeader"><b>
Forward Deployed Engineer</b></h1>
<p>
London-based with European travel (UK, France, Portugal and beyond)</p>
<h2 class="jobSectionHeader"><b>
About the Role</b></h2>
<p>
Ophelos is at a pivotal moment. We've built a market-leading, AI-first debt resolution platform &mdash; and now we're deploying it at scale across Intrum's European business. As our <b>Forward Deployed Engineer</b>, you'll lead that effort.</p>
<p>
Intrum, our parent company and one of Europe's largest credit management businesses, manages debt on behalf of a wide range of merchant clients &mdash; retailers, telcos, financial institutions, and more &mdash; across multiple European markets. Your job is to onboard those clients onto the Ophelos platform: understanding their data, their business logic, their customer portfolios, and their contractual and regulatory context, and making sure Ophelos works correctly for each of them.</p>
<p>
Every client is different. They come with different data formats and quality standards, different definitions of what a debt case looks like, different regulatory obligations depending on their sector and market, and different expectations of how their customers should be treated. Your job is to absorb all of that, map it clearly, and translate it into a solution that works &mdash; at scale, across many clients, across multiple countries.</p>
<p>
This role sits at the intersection of solution architecture, technical consulting, and product partnership. You'll spend as much time in discovery conversations and design workshops as you will in configuration files and integration specs. You'll need to be equally credible with a compliance lead in Paris, a data engineer in Lisbon, and a product manager in London.</p><br>
<h2 class="jobSectionHeader"><b>
What You'll Do</b></h2>
<p><b>
Onboard merchant clients onto Ophelos</b> Each client Intrum brings to Ophelos has its own data structures, business rules, and portfolio characteristics. You'll lead the technical onboarding &mdash; understanding their data, designing the ingestion and mapping layer, and ensuring Ophelos represents their cases accurately and operates correctly on their behalf.</p>
<p><b>
Navigate localisation and regulatory complexity</b> Operating across European markets means dealing with materially different regulatory frameworks, debt collection norms, and consumer protection requirements &mdash; which vary by country, and sometimes by client sector. You'll develop deep fluency in what those differences mean technically, and design the configuration and solution patterns that allow Ophelos to serve each context correctly.</p>
<p><b>
Design solutions, not just integrations</b> You'll translate complex, sometimes ambiguous client requirements into clean solution designs &mdash; mapping existing data structures, business logic, and operational processes to Ophelos's platform. This isn't just about getting data from A to B; it's about understanding the business intent behind every field and flow, and making sure nothing gets lost in translation.</p>
<p><b>
Own the data ingestion layer</b> A significant part of this role involves designing and owning how each client's data arrives into Ophelos &mdash; in the right shape, with the right validation, from the right sources. You'll work across varying data formats, system conventions, and quality standards, and build patterns that make future onboarding progressively more efficient.</p>
<p><b>
Close the feedback loop</b> You're Ophelos's eyes and ears in the field. When you encounter a recurring client need, a gap in our product, a bug that only surfaces in a specific market context, or a feature that would unlock onboarding for a whole segment of clients &mdash; you bring that back clearly and systematically. You'll log issues, articulate feature requests with context and business case, and act as a structured conduit between the real world and Ophelos's product and engineering teams.</p>
<p><b>
Build the onboarding playbook</b> Document what you learn. Build reusable patterns, data mapping frameworks, and localisation guides that make each subsequent client onboarding faster and more predictable than the last.</p>
<p><b>
Use LLM tooling as a force multiplier</b> Like all Ophelos engineers, you'll work in an AI-first way &mdash; using Claude Code, Codex, and OpenSpec to accelerate integration work, draft specs, and explore solutions faster than traditional approaches allow.</p><br>
<h2 class="jobSectionHeader"><b>
The Ophelos Platform</b></h2>
<p>
You'll need to develop deep familiarity with our stack &mdash; not necessarily to build core features, but to understand its capabilities, constraints, and integration surface thoroughly:</p>
<ul>
<li><b>Languages:</b> TypeScript, Python, Ruby</li>
<li><b>Backend frameworks:</b> FastAPI, Ruby on Rails</li>
<li><b>Data:</b> PostgreSQL (via PlanetScale), Databricks</li>
<li><b>Workflow orchestration:</b> Temporal</li>
<li><b>Financial ledger:</b> TigerBeetle</li>
<li><b>Infrastructure:</b> AWS, Kubernetes</li>
<li><b>Observability:</b> Datadog</li>
<li><b>LLM tooling:</b> Claude Code, OpenSpec, Codex</li>
</ul>
<h2 class="jobSectionHeader"><br>
<b>About You</b></h2>
<p>
You're a systems thinker with technical depth and strong commercial instincts. You've probably worked in fintech, financial services, or enterprise SaaS &mdash; in a role that required you to get inside a client's world, understand it thoroughly, and design solutions that actually fit.</p>
<p>
You might come from a solutions engineering, implementation consulting, or technical architecture background. What matters is that you're equally comfortable shaping a solution design and getting hands-on with the data or configuration to make it real. You're energised by variety &mdash; different clients, different markets, different problems &mdash; rather than unsettled by it.</p>
<p><b>
You'll likely have:</b></p>
<ul>
<li>Experience in a solutions architect, forward-deployed engineer, technical consultant, or implementation lead role &mdash; ideally at a fintech, payments, or financial services company</li>
<li>Strong systems thinking: you naturally map business processes, data flows, and client-specific logic into coherent technical designs</li>
<li>Comfort with data &mdash; understanding schemas, transformation logic, validation rules, and ingestion pipelines at a practical level</li>
<li>Experience navigating regulatory or compliance requirements that vary across markets, sectors, or client types</li>
<li>The ability to communicate complex technical concepts clearly to non-technical stakeholders, and business context clearly to engineers</li>
<li>A structured approach to discovery: you ask good questions, document rigorously, and turn ambiguity into clarity</li>
<li>Willingness to travel regularly across Europe (primarily UK, France, and Portugal, with further markets to follow)</li>
</ul>
<p><b>Bonus points for:</b></p>
<ul>
<li>Background in debt management, credit, collections, or payments &mdash; understanding the domain accelerates everything</li>
<li>Working knowledge of French</li>
<li>Experience onboarding multiple enterprise clients with divergent data models or business logic onto a shared platform</li>
<li>A track record of feeding structured product feedback from deployments back into a product organisation</li>
</ul>
<h2 class="jobSectionHeader"><br>
<b>Why This Role</b></h2>
<p>
This is a rare opportunity to operate at the centre of a major European expansion &mdash; with real complexity, real stakes, and direct influence over how a genuinely impactful product gets adopted across a continent. You'll develop a breadth of domain knowledge, technical context, and stakeholder experience that's hard to find anywhere else.</p>
<p>
And you'll be helping Ophelos do what it exists to do: support households and businesses in breaking the cycle of problem debt.</p>
<h2 class="jobSectionHeader"><b>
Working Arrangements</b></h2>
<p>
Based in London, with regular travel across Europe &mdash; primarily UK, France, and Portugal, with other markets to follow as the rollout expands. Ophelos operates on a hybrid model with three days per week in our office near Liverpool Street; during active client onboardings, on-site presence will be required.</p>
<p><i>
Ophelos is an equal opportunities employer. We are committed to building a diverse and inclusive team.</i></p><p></p><div><h2 class="jobSectionHeader"><b><br>
About Our Team</b></h2>
<p>
Ophelos launched in June of 2021, backed by investors such as AlbionVC, Connect Ventures and Fly Ventures. In 2023, we were acquired by Intrum, Europe's biggest credit management service. Our growing team has team helped build some of the world's most successful businesses, including the likes of Monzo, Google, Oracle, ASAPP, IBM and more &mdash; in addition to pioneering innovative products, sitting at the intersection of enterprise, financial technology, artificial intelligence and academia, working with institutions such as Oxford University, the University of Amsterdam and the University of Hong Kong.
</p><h2 class="jobSectionHeader"><b>Our Values</b></h2>
<p>
Supporting customers and businesses to improve their financial health is a long-term mission. Our company values act as our north star, steering our every move as an organisation and are the backbone of our unique company culture. Our values and culture allow us to stay true to our larger purpose, even as we continue to grow at a rapid pace.</p>
<p><b>
Customers and Clients first</b> &ndash; We exist to help real people move through debt and to get clients paid back. This commitment drives how we design products, deliver services, and interact with customers and clients daily.</p>
<p><b>
Dream big</b> &ndash; We have ambition and drive to succeed - we're not just raising the bar, we're confidently asserting ourselves as the benchmark.</p>
<p><b>
Get it done</b> &ndash; We're decisive and embrace a sense of urgency; we don't let opportunities get away from us. We'd rather act quickly and take informed risks, iterating and learning as we go.</p>
<p><b>
Win as one</b> - We work as one team, supporting each other and aiming for shared goals. At Ophelos, the team isn't just individual departments - it's all of us together. We challenge and support each other because we care about everyone's growth and success.</p>
<p><i>
Ophelos is committed to creating a diverse work environment and is proud to be an equal opportunity workplace, providing equal employment and advancement opportunities to all team members. We are building an environment where every Ophelos team member can thrive, feel a sense of belonging, and do the best work of their careers. We value diversity and recruit, hire, and promote individuals solely based on talent, qualifications, competence, and merit. We evaluate candidates without regard to race, colour, religion, age, sex, sexual orientation, gender identity, national origin, disability, or other protected characteristics as required by law and as a matter of our company values.</i></p><br>
<p></p>
<p><b>
GDPR Notice</b></p>
<p>
When you apply to a job on this site, the personal data contained in your application will be collected by Ophelos (&quot;Controller&quot;), which is located at 1 Finsbury Ave, London EC2M 2PF and can be contacted by emailing contact@ophelos.com. Controller's data protection officer is Paul Chong, who can be contacted at contact@ophelos.com. Your personal data will be processed for the purposes of managing Controller's recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, and as is otherwise needed in the recruitment and hiring processes. Such processing is legally permissible under Art. 6(1)(f) of Regulation (EU) 2016/679 (General Data Protection Regulation) as necessary for the purposes of the legitimate interests pursued by the Controller, which are the solicitation, evaluation, and selection of applicants for employment.</p>
<p>
Your personal data will be shared with Greenhouse Software, Inc., a cloud services provider located in the United States of America and engaged by Controller to help manage its recruitment and hiring process on Controller's behalf. Accordingly, if you are located outside of the United States, your personal data will be transferred to the United States once you submit it through this site. Because the European Union Commission has determined that United States data privacy laws do not ensure an adequate level of protection for personal data collected from EU data subjects, the transfer will be subject to appropriate additional safeguards under . You can obtain a copy of the standard contractual clauses by contacting us at contact@ophelos.com.</p>
<p>
Your personal data will be retained by Controller as long as Controller determines it is necessary to evaluate your application for employment. Under the GDPR, you have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have to right to data portability. In addition, you may lodge a complaint with an EU supervisory authority.</p></div></div><p></p>

Databricks

<div><p><b>Req ID: CSQ127R149</b></p>
<p><b>Location: London, United Kingdom - Hybrid</b></p>
<p><b>Recruiter: Dina Hussain</b></p>
<p>We&rsquo;re hiring for multiple roles within our FDE team.</p>
<p>As a Forward Deployed Engineer (FDE), you will work with customers to build and productionize solutions to their data &amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get the most value out of their data.</p>
<p>This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specifications with exceptional customer empathy.</p>
<p><b>The impact you will have:</b></p>
<ul><li>Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration</li>
<li>Transformational Impact: Guide strategic customers as they implement transformational big data projects, including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer</li>
<li>Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects that lead to a customer's successful understanding, evaluation and adoption of Databricks.</li>
<li>Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.</li>
<li>Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customers' needs.</li>
<li>Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement-specific product and support issues.</li>
<li>Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.</li>
<li>Reusable Assets &amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.</li>
</ul><p><b>What we look for:</b></p>
<ul><li><b>Experience in data engineering, data platforms &amp; analytics, or software engineering / full stack development</b></li>
<li>Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks</li>
<li>Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one</li>
<li>Deep experience with distributed computing with Apache Spark&trade; and knowledge of Spark runtime internals</li>
<li>Familiarity with CI/CD for production deployments</li>
<li>Working knowledge of MLOps, ML/AI models and AI APIs</li>
<li>Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.</li>
<li>Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.</li>
<li>Documentation and white-boarding skills.</li>
<li>Experience working with enterprise clients and managing conflicts across a broad stakeholder range</li>
<li>Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.</li>
<li>Travel to customers 20% of the time</li>
<li>Databricks Certification - an advantage</li>
</ul><div><p><b>About Databricks</b></p>
<p>Databricks is the data and AI company. More than 10,000 organizations worldwide &mdash; including Comcast, Cond&eacute; Nast, Grammarly, and over 50% of the Fortune 500 &mdash; rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark&trade;, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
<br>
<br>
<b>Benefits
</b><br>
<br>
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.<br>
<br>
<br>
</p><p><b>Our Commitment to Diversity and Inclusion</b></p>
<p>At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.</p>
<p><b>Compliance</b></p>
<p><b>If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</b></p></div></div>

Senior Forward Deployed 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>Software Engineering
<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><div><div><div><div><div><div><div><div><div><div><div><div><div><b>Job Overview
</b><br>
We are seeking a strategic and technical Forward Deployed Engineer to lead the implementation of our newest innovations in Agentic Analytics across Tableau Next, Cloud and Server. In this high-impact role, you will bridge the gap between product and customer success. Your primary mission is to partner with our most strategic new customers to architect and deploy their very first agentic analytics use cases and supporting metrics and dashboards. By building robust semantic data models on top of the Salesforce Data360 and incorporating Agentforce topics and actions, you will transform raw data into actionable, conversational insights. You will not only ensure the technical success of these initial launches but also channel critical feedback from the field to our product teams, directly shaping the future of enterprise scale agentic analytics.
</div><div><br>
<b>Key Responsibilities
</b></div><ul><li><b>Architect and Deploy Conversational Agents: </b>Lead the end-to-end technical design and build of bespoke conversational analytics agents, ensuring they are optimized for accuracy, latency, and user relevance.
</li><li><b>Design Semantic Data Models: </b>Construct and refine complex semantic data layers within Salesforce Data360 to ensure the AI agent can accurately interpret, query, and visualize enterprise data structure.
</li><li><b>Accelerate Customer Time-to-Value: </b>Act as the primary technical builder during the implementation phase, rapidly prototyping and iterating on solutions to solve the customer&rsquo;s specific business questions (&quot;Zero to One&quot; builds).
</li><li><b>Integrate Disparate Data Sources: </b>Engineer scalable data pipelines to ingest, clean, and unify structured and unstructured data from various sources into the Data360 lakehouse environment and canonical model
</li><li><b>Bridge the Product-Customer Gap: </b>Serve as the technical voice of the customer; document implementation friction points and collaborate with Product Management and Engineering to prioritize feature enhancements and roadmap items.
</li><li><b>Enable Customer Self-Sufficiency: </b>Conduct technical hand-offs and mentoring sessions with customer data teams to ensure they can maintain, tune, and expand the semantic models and agents after the initial engagement.
</li><li><b>Troubleshoot Complex Architectures: </b>Perform deep-dive root cause analysis on performance bottlenecks, hallucinations, or data modeling errors to ensure a reliable production-grade experience.
</li></ul><p></p><div><b>Required Qualifications
</b></div><ul><li><b>Professional Experience: </b>7+ years of technical experience in data engineering, analytics implementation, or software development, with a focus on customer-facing delivery.
</li><li><b>Data Lakehouse Proficiency: </b>Strong hands-on experience with modern data architectures and SQL, specifically regarding data modeling and schema design.
</li><li><b>AI &amp; NLP Fundamentals: </b>Practical experience building or deploying solutions that utilize Large Language Models (LLMs), RAG (Retrieval-Augmented Generation), or conversational AI frameworks.
</li><li><b>Semantic Modeling: </b>A solid understanding of how to map business logic to physical data (semantic layers, ontologies, or metrics layers).
</li><li><b>Programming Skills: </b>Proficiency in Python for data manipulation and scripting; familiarity with API integrations.
</li><li><b>AI Native: Demonstrated ability to utilize ai coding and agentic harnesses to effect speedy iterative development and implementation of simple to complex prototypes and integrations. Uses ai on a daily basis to manage and
</b></li><li><b>Problem-Solving Agility: </b>Demonstrated ability to navigate ambiguity and solve novel technical challenges in fast-paced, live customer environments.
</li><li><b>Communication: </b>Exceptional ability to translate complex technical concepts for non-technical business stakeholders and executive leadership.
</li></ul><p></p><div><b>Preferred Qualifications
</b></div><ul><li>Experience with <b>Tableau and </b>similar BI platforms, specifically regarding data source integration, calculation syntax and dashboard design.
</li><li>Familiarity with the <b>Salesforce Ecosystem </b>(Agentforce, Data Cloud, Einstein, Apex).
</li><li>Experience architecting or implementing system automations and integrations via iPaas or API gateways.
</li><li>Experience in a &quot;Forward Deployed&quot; or &quot;Solution Architecture&quot; role at an enterprise software company
</li></ul></div></div></div></div></div></div></div></div></div></div></div></div><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>

Analytics Forward Deployed Engineer Principal

CHAOS Industries

<div><p>CHAOS Industries is redefining modern defense with omniscient systems purpose-built for today's realities. Designed and built by top U.S. military veterans and Silicon Valley innovators, CHAOS Industries' products are powered by Coherent Distributed Networks (CDN&trade;), empowering warfighters, commercial air operators, and border protection teams to act faster, adapt rapidly, and stay ahead of evolving threats. In a world where technological threats move at unprecedented speed, CHAOS Industries delivers advanced sensing and detection solutions that give the ultimate advantage: time.</p>
<p>
CHAOS Industries was founded in 2022 and has raised $1B in total funding from leading investors including 8VC, Accel, and NEA. The company is headquartered in Los Angeles, with offices in Washington, D.C., San Francisco, and London. For more information, please visit www.chaosinc.com.</p>
<p><b>
Role Overview</b></p>
<p>
With a deep understanding of our engineering, technology, and customers' missions, Mission Engineers drive the successful deployment of CHAOS capabilities directly into the hands of users. Mission Engineers design and implement new software from the ground up, integrate and analyse data from our edge sensors, apply and develop machine learning and AI solutions to real-world challenges, and test and refine CHAOS products in customer environments. Throughout, Mission Engineers deliver vital feedback to help shape product direction and ensure our technology evolves in lockstep with real-world mission needs.</p>
<p><b>
Responsibilities</b></p>
<ul>
<li>Test, deploy, and troubleshoot CHAOS products in the field.</li>
<li>Understand customer workflows and translate them into clear product and technical requirements.</li>
<li>Collaborate with core engineering teams to prioritise feedback, shape product direction, and drive delivery.</li>
<li>As an early engineer on a growing team, design and build new software products that bridge the gap between CHAOS capabilities and customer mission needs.</li>
<li>Integrate data from CHAOS edge sensors into customer systems.</li>
<li>Apply and develop machine learning and AI solutions to applied problems, using analysis of sensor data to iterate and improve performance.</li>
<li>Travel (typically up to 25%, with flexibility for higher travel periods when needed) to customer sites and our offices in LA &amp; Washington DC.</li>
</ul>
<p><b> </b><b>Minimum</b><b> Requirements</b></p>
<ul>
<li>Strong technical foundation, ideally with a background in Computer Science, Software Engineering, Data Science, Mathematics, Physics, Aerospace Engineering, or a related field.</li>
<li>Proven programming skills, with proficiency in languages such as Python, TypeScript/JavaScript, or similar technologies.</li>
<li>Ability and interest to travel (typically up to 25%, with flexibility for higher travel periods when needed) to customer sites and our offices in LA &amp; Washington DC.</li>
</ul>
<p><b>Preferred Requirements</b></p>
<ul>
<li>At least one year of relevant work experience, especially in a defence context.</li>
<li>Familiarity with core technical concepts &ndash; such as data structures, storage systems, cloud infrastructure, and modern front-end frameworks.</li>
<li>Confidence working in a command-line environment, with familiarity using tools like Git, SSH, and Linux-based systems.</li>
<li>Experience applying machine learning or AI techniques to real-world or customer-facing problems.</li>
<li>Thoughtful about how technical choices shape user experience, and comfortable managing internal and external stakeholders with a mix of technical insight and common sense.</li>
<li>Demonstrated ability to learn new concepts quickly and adapt in a fast-paced, dynamic environment.</li>
<li>Comfortable working both autonomously and within teams that include both technical and non-technical members.</li>
<li>Existing UK security clearance, or eligibility to obtain it.</li>
</ul>
<p><b>Why CHAOS?</b></p><br>
<p></p>
<ul>
<li><b>Health Benefits: </b>Medical, dental, and vision benefits 100% paid for by the company</li>
<li><b>Additional benefits</b>: 5% pension match, life insurance, Cycle to Work Scheme, and more</li>
<li><b>Our Perks: </b>Free daily lunch, 'No meeting Fridays', unlimited PTO, casual dress code</li>
<li><b>Compensation Components:</b> Competitive base salaries, generous pre-IPO stock option grants, relocation assistance, and (coming soon!) annual bonuses</li>
<li><b>Team Growth: </b>200 employees and counting across 5 global offices</li></ul><br>
<p></p>
<p><i>
#LI-onsite</i></p></div>

Forward Deployed Engineer - Software

Google

<div>Must be a British citizen to meet compliance and security clearance requirements.<h3 class="jobSectionHeader"><b>
Minimum qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s degree in Engineering, Computer Science, a related field, or equivalent practical experience.</li>
<li>8 years of experience with software development using Python or similar coding languages.</li>
<li>Experience taking production-grade AI-driven solutions from conception to launch and architecting AI systems on cloud platforms (e.g., Google Cloud Platform (GCP)).</li>
<li>Experience building pipelines for structured and unstructured data using both vector databases and retrieval augmented generation (RAG) like architectures to power enterprise AI solutions.</li>
<li>Experience leading technical discovery sessions with customers.</li>
<li>Active, or the ability to obtain, a Security Check (SC) UK security clearance.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master&rsquo;s degree or PhD in AI, Computer Science, or a related technical field.</li>
<li>Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, or Google&rsquo;s Agent Development Kit (ADK)) and patterns like ReAct, self-reflection, and hierarchical delegation.</li>
<li>Experience in a post-sales or technical consulting delivery function.</li>
<li>Knowledge of large language model native metrics (tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
As an AI Forward Deployed Engineer (FDE) at Google Cloud, you will be the technical engine of our Innovation team, working directly with highly regulated clients to help them transform their operations using advanced AI/ML technologies. You are an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you will function as a &quot;builder-consultant,&quot; moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer&rsquo;s environment.</p><p>
In this role, you will address blocker to production including solving the integration complexities, data readiness issues, and state-management challenges that prevent AI from reaching enterprise-grade maturity. By embedding with strategic accounts, you will serve a dual purpose: providing &quot;white glove&quot; deployment of complex AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud&rsquo;s future product roadmap.</p><br>
Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Serve as the lead developer for AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol servers) that drive measurable return on investment.</li>
<li>Architect and code the &quot;connective tissue&quot; between Google&rsquo;s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters.</li>
<li>Build high-performance evaluation (Eval) pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.</li>
<li>Identify repeatable field patterns and technical &quot;friction points&quot; in Google&rsquo;s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.</li>
<li>Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Staff Forward Deployed Engineer, Google Cloud Public Sector

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.</li>
<li>2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.</li>
<li>1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).</li>
<li>Experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).</li>
<li>Ability to communicate in French and German fluently to support client relationship management in this region.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master&rsquo;s degree or PhD in AI, Computer Science, or a related technical field.</li>
<li>Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, or Google&rsquo;s Agent Development Kit (ADK)) and complex patterns like ReAct, self-reflection, and hierarchical delegation.</li>
<li>Knowledge of &quot;LLM-native&quot; metrics (tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.</li>
<li>Ability to implement secure agentic workflows incorporating MCP, tool-calling, and OAuth-based authentication.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2>
Google Cloud&rsquo;s mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. In this role, you aren&rsquo;t just building technology; you&rsquo;re shaping the frontier of enterprise and driving the evolution of advanced models. It's an exciting time to join Google Cloud&rsquo;s Go-To-Market team, leading the AI revolution for businesses worldwide. You&rsquo;ll excel by leveraging Google's brand credibility&mdash;a legacy built on inventing foundational technologies and proven at scale. We&rsquo;ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We&rsquo;re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era&mdash;the market is yours.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Serve as the lead developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol (MCP) servers) that drive measurable return on investment.</li>
<li>Architect and code the &quot;connective tissue&quot; between Google&rsquo;s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters.</li>
<li>Build high-performance evaluation (Eval) pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.</li>
<li>Identify repeatable field patterns and technical &quot;friction points&quot; in Google&rsquo;s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.</li>
<li>Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Partner Forward Deployed Engineer III, Generative AI (French, German)

Explore 408+ Forward deployed engineer in London this July. Find roles across top companies and apply now to boost your career.

408 forward deployed engineer jobs In London

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Staff Forward Deployed Engineer, Google Cloud Public Sector

Partner Forward Deployed Engineer III, Generative AI (French, German)