data engineer

machine learning engineer

ai engineer

senior software engineer

software engineer

build and deployment engineer

<div><div>Location: London

Office requirement : 2 days in the office - Significant travel required

Employment type: Permanent

Seniority level: Principal</div> 


At GWI we're always looking for extraordinary people who thrive on making an extraordinary impact. Right now we're looking for an Forward Deployed Engineer to play a key role in our Solutions Consultants Team 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. 

<h1 class="jobSectionHeader">
Sounds great, what will I be doing?</h1>

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. 
<div>
A few things you'll be responsible for:

 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.

 Lead AI agents into production in complex environments (legacy systems, security, compliance), turning cutting-edge capability into measurable business outcomes.

 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.

 Surface patterns from the field and feed them back to product and engineering, acting as the bridge between customer reality and roadmap.

 Build out the FDE practice as it scales: repeatable deployment playbooks, success metrics, and mentoring mid-level FDEs.

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.</div> 

<h1 class="jobSectionHeader">
What do I need to bring with me?</h1>

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.
 
Here's what the team will be looking for in you:

 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.

 Demonstrable experience deploying AI or data-heavy products into large organisations &mdash; real production deployments, not just POCs.

 Strong full-stack or backend engineering fundamentals: Python essential, plus comfort across APIs, SQL, cloud infrastructure (AWS/GCP/Azure), and data pipelines.

 The ability to work through ambiguity and turn it into a concrete technical plan.

 Clear communication across technical and business audiences &mdash; you can tailor the same idea for an engineering lead and a commercial stakeholder.

 Willingness to travel to client sites across the UK and Europe (approximately 30&ndash;50% of the time). 


Nice to have:

 Hands-on experience with LLM deployment, AI agents, or agentic workflow automation.

 A background in a high-growth B2B SaaS or AI-native company.

 Experience in one or more of GWI's core verticals: financial services, media &amp; agencies, consumer goods, or technology.

 Prior experience in an FDE, solutions architect, or technical account management function at a company with a named-account enterprise motion. 


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.
<h1 class="jobSectionHeader">
What's in it for me?</h1>

At GWI, you'll find meaningful work, visible impact, and a culture that empowers you to do your best. Our package includes:

 Time to recharge &ndash; 25 days' annual leave, plus office closures over the holidays.

 Health &amp; wellbeing &ndash; Health cash plan, enhanced family benefits, carer days, and mental health support.

 Financial benefits &ndash; Competitive salary, 4% pension matching, and recognition programs that celebrate success.

 Flexibility &amp; balance &ndash; Flexitime, early Friday finishes, hybrid and remote options, plus a &quot;work from home&quot; budget.

 Career growth &ndash; Accredited learning, leadership development, and global career mobility.

 Community &amp; impact &ndash; DE&amp;I initiatives, volunteering opportunities, donation matching, and payroll giving. 


Put all that together and GWI is the friendliest, most fulfilling place any of us has ever worked. 

<h1 class="jobSectionHeader">
Diversity, Equity &amp; Inclusion</h1>

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.

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.

At GWI, you will find a place where you can contribute meaningfully, grow professionally, and belong fully. 


#li-hybrid 
#LI-NIKOSSS1</div>

Forward Deployed Engineer

Humanoid

<div>Here at Humanoid, we believe in a future where robots amplify human potential. That&rsquo;s why we&rsquo;ve set out on a mission to build the world&rsquo;s most capable, commercially-scalable, and safe humanoid robots. We&rsquo;re bringing that mission to life with HMND‑01 Alpha - our rapidly developed humanoid platform now running in real industrial pilots - and we&rsquo;re growing the team to take it even further.<h1 class="jobSectionHeader">
About the Role</h1>
We are looking for a Software Engineer to own the build system and CI infrastructure that every engineer at Humanoid depends on every day. This is foundational work: a slow, unreliable, or opaque build pipeline is a tax on the entire engineering organisation, and getting it right directly determines how fast we can ship robots.
We are investing heavily in build infrastructure - hermetic, incremental, fully cached builds across a complex multi-target monorepo spanning firmware, robot software, simulation, and cloud - and we need someone to drive that work and own the system it produces.
This is a deeply technical infrastructure role. You will work closely with every engineering team in the organisation, and the quality of your work will be felt by every person who opens a PR.<h2 class="jobSectionHeader">
What You&rsquo;ll Do</h2><ul><li>
Build and maintain CI pipelines in GitHub Actions: incremental test selection based on affected targets, nightly full builds, and clear triage tooling when main goes red</li><li>
Instrument the build: CI telemetry, dashboards showing build and test times broken down by job type, branch, and author &mdash; so we stop flying blind on build health</li><li>
Define and enforce the policies that keep main green: merge queue configuration, PR gating, and the on-call process when broken builds block other engineers</li><li>
Own and maintain the remote build cache infrastructure, ensuring cache correctness, invalidation on environment changes, and read-only promotion from main only</li><li>
Own the developer environment story &mdash; local builds, dependency management, and the tooling that lets engineers iterate quickly without fighting their environment</li><li>
Maintain and evolve the dependency mirroring infrastructure (apt, PyPI, and other upstream registries) so that external package availability never blocks a build</li></ul><h2 class="jobSectionHeader"> 
What We&rsquo;re Looking For</h2><ul><li>
Solid experience with build systems - ideally Bazel, but deep knowledge of CMake or similar is fine; the instincts matter more than the specific tool</li><li>
Experience designing and operating CI pipelines at scale: incremental testing, artifact caching, runner management, and keeping feedback loops short</li><li>
Strong understanding of hermetic build environments</li><li>
Comfort debugging complex build failures across multiple languages and toolchains</li><li>
Experience with dependency management and the tradeoffs between reproducibility, speed, and upstream risk</li><li>
Good instincts for developer experience</li></ul><h2 class="jobSectionHeader">
Nice To Have</h2><ul><li>
Familiarity with ROS/ROS2 build tooling (colcon, ament, CMake)</li><li>
Familiarity with Kubernetes: self-hosted runners, ARC</li><li>
Experience with GitHub Actions at scale</li><li>
Background in robotics or embedded systems where build artifacts span multiple target architectures and deployment environments</li></ul><h1 class="jobSectionHeader">
What We Offer</h1><ul><li>
Competitive equity: stock options with meaningful upside as we scale.</li><li>
30+ days time off, including 23 days annual leave, all UK bank holidays, and additional company closure days (including Christmas&ndash;New Year shutdown).</li><li>
Private healthcare, including virtual and in-person care.</li><li>
Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.</li><li>
Free daily breakfast, catered lunch, and snacks in-office.</li><li>
Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.</li><li>
Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.</li></ul></div>

Platform Engineer - Build and CI

CHAOS Industries

<div>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.

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.

Role Overview

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.

Responsibilities
<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>
 Minimum Requirements
<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>
Preferred Requirements
<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>
Why CHAOS? 

<ul>
<li>Health Benefits: Medical, dental, and vision benefits 100% paid for by the company</li>
<li>Additional benefits: 5% pension match, life insurance, Cycle to Work Scheme, and more</li>
<li>Our Perks: Free daily lunch, 'No meeting Fridays', unlimited PTO, casual dress code</li>
<li>Compensation Components: Competitive base salaries, generous pre-IPO stock option grants, relocation assistance, and (coming soon!) annual bonuses</li>
<li>Team Growth: 200 employees and counting across 5 global offices</li></ul> 


#LI-onsite</div>

Forward Deployed Engineer - Software

Google

<div>Must be a British citizen to meet compliance and security clearance requirements.<h3 class="jobSectionHeader">
Minimum qualifications:</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> 
<h3 class="jobSectionHeader">
Preferred qualifications:</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">About the job</h2>
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.
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. 
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">
Responsibilities</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

Ophelos

<div><div><h2 class="jobSectionHeader">Our Mission</h2>

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.

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 anyone 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.

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.

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.</div><h1 class="jobSectionHeader">
Forward Deployed Engineer</h1>

London-based with European travel (UK, France, Portugal and beyond)
<h2 class="jobSectionHeader">
About the Role</h2>

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 Forward Deployed Engineer, you'll lead that effort.

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.

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.

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. 
<h2 class="jobSectionHeader">
What You'll Do</h2>

Onboard merchant clients onto Ophelos 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.

Navigate localisation and regulatory complexity 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.

Design solutions, not just integrations 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.

Own the data ingestion layer 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.

Close the feedback loop 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.

Build the onboarding playbook 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.

Use LLM tooling as a force multiplier 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. 
<h2 class="jobSectionHeader">
The Ophelos Platform</h2>

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:
<ul>
<li>Languages: TypeScript, Python, Ruby</li>
<li>Backend frameworks: FastAPI, Ruby on Rails</li>
<li>Data: PostgreSQL (via PlanetScale), Databricks</li>
<li>Workflow orchestration: Temporal</li>
<li>Financial ledger: TigerBeetle</li>
<li>Infrastructure: AWS, Kubernetes</li>
<li>Observability: Datadog</li>
<li>LLM tooling: Claude Code, OpenSpec, Codex</li>
</ul>
<h2 class="jobSectionHeader"> 
About You</h2>

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.

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.

You'll likely have:
<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>
Bonus points for:
<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"> 
Why This Role</h2>

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.

And you'll be helping Ophelos do what it exists to do: support households and businesses in breaking the cycle of problem debt.
<h2 class="jobSectionHeader">
Working Arrangements</h2>

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.

Ophelos is an equal opportunities employer. We are committed to building a diverse and inclusive team.<div><h2 class="jobSectionHeader"> 
About Our Team</h2>

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.
<h2 class="jobSectionHeader">Our Values</h2>

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.

Customers and Clients first &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.

Dream big &ndash; We have ambition and drive to succeed - we're not just raising the bar, we're confidently asserting ourselves as the benchmark.

Get it done &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.

Win as one - 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.

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. 


GDPR Notice

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.

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.

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.</div></div>

<div><h3 class="jobSectionHeader">Minimum qualifications:</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> 
<h3 class="jobSectionHeader">
Preferred qualifications:</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">About the job</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">
Responsibilities</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)

Xcede

<div>
 
 
 
 Senior AI Engineer
 
 
 
 
 
 London (Hybrid, typically 1 day per week, but this will occasionally vary slightly)
 
 
 
 
 
 
 
 
 Opportunities at this level in AI are exceptionally rare. Join one of the true global leaders in the space.
 
 
 
 
 
 
 
 We&rsquo;re lucky enough to be partnering with one of the world's leaders in Applied AI. They're building the most important solutions at the forefront of commercial Generative AI deployment and answering the global demand for useful, tangible AI products.
 
 
 
 
 
 The business designs and delivers production-grade AI systems for large, market-leading clients across various industries, including financial services, retail, healthcare, travel, gaming, and critical infrastructure. Their teams work directly with globally recognised brands to build scalable AI applications that solve real operational problems, not proof-of-concept demos.
 
 
 
 
 
 This is a highly technical, engineering-led environment focused on shipping real-world AI systems into production. The culture is fast-moving, collaborative, and deeply product-minded, with strong emphasis on ownership, experimentation, and engineering quality.
 
 
 
 
 
 The company is entering a major phase of international growth and investment, with significant backing, ambitious hiring plans, and access to some of the most advanced AI capabilities currently available in the market.
 
 
 
 
 
 
 The Role
 
 
 
 As a Senior AI Engineer, you&rsquo;ll work within small, high-performing delivery teams designing, building, and deploying enterprise-grade AI applications powered by Large Language Models and modern AI tooling.
 
 
 
 
 
 You&rsquo;ll operate across the full delivery lifecycle from solution architecture and orchestration through to deployment, optimisation, monitoring, and client adoption. Projects are highly hands-on and often involve agentic systems, retrieval architectures, multimodal workflows, and real-time AI applications deployed into complex enterprise environments.
 
 
 
 
 
 This role combines strong software engineering with applied AI delivery. You&rsquo;ll be expected to contribute technically, communicate directly with clients, and help shape engineering best practices internally.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Design and build production-grade AI applications using LLMs and modern AI frameworks
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Develop scalable backend systems, APIs, orchestration layers, and microservices to support enterprise AI deployments.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Work across the full AI lifecycle including architecture, deployment, monitoring, evaluation, optimisation, and maintenance
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Build and deploy agentic workflows, RAG systems, multimodal applications, and AI-powered automation tools
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Collaborate directly with enterprise stakeholders to understand business problems and translate them into technical solutions
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Contribute to technical leadership across projects, including mentoring engineers and improving internal engineering standards
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Work closely with cross-functional teams across engineering, product, delivery, and client environments
 </li>
 </ul>
 
 
 
 
 
 What We&rsquo;re Looking For
 
 
 
 
 
 <ul>
 <li>
 Strong software engineering foundations, particularly in Python
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Experience building and deploying production AI/ML systems in enterprise environments
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Hands-on experience with Large Language Models and modern AI application architectures
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Strong understanding of backend engineering, APIs, microservices, distributed systems, and cloud-native development
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Experience with technologies/frameworks such as LangChain, LangGraph, vector databases, Docker, Kubernetes, Azure, AWS, or GCP
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Ability to design scalable, maintainable systems with strong engineering and operational awareness
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Strong communication skills and confidence operating in client-facing environments
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Comfortable working in fast-paced, high-ownership engineering teams
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Experience across the full lifecycle of AI delivery from ideation through to production deployment is highly desirable
 </li>
 </ul>
 
 
 
 
 
 Desirable Experience
 
 
 
 
 
 <ul>
 <li>
 Agentic AI systems and orchestration frameworks
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 RAG architectures and evaluation frameworks
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Real-time or voice-enabled AI systems
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Production monitoring, guardrails, latency optimisation, and cost optimisation
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Previous experience in consulting or highly collaborative delivery-focused environments
 </li>
 </ul>
 
 
 
 
 
 
 
 If this role interests you and you would like to find out more (or find out about other roles), please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).
 
</div>

Senior AI Engineer

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