
Ophelos · London
OUR MISSION 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...
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 — 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 —
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 — expansion into 17 European markets over the next two
years.
London-based with European travel (UK, France, Portugal and beyond)
Ophelos is at a pivotal moment. We've built a market-leading, AI-first debt resolution platform — 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 — retailers, telcos, financial institutions, and more — 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 — 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.
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 — 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 — 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 — 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 — 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 — 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 — using Claude Code, Codex, and
OpenSpec to accelerate integration work, draft specs, and explore solutions faster than traditional approaches allow.
You'll need to develop deep familiarity with our stack — not necessarily to build core features, but to understand its
capabilities, constraints, and integration surface thoroughly:
You're a systems thinker with technical depth and strong commercial instincts. You've probably worked in fintech, financial
services, or enterprise SaaS — 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 — different clients, different markets, different problems — rather than unsettled by it.
a fintech, payments, or financial services company
designs
engineers
This is a rare opportunity to operate at the centre of a major European expansion — 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.
Based in London, with regular travel across Europe — 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.
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 — 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.
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 – 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 – 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 – 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.
When you apply to a job on this site, the personal data contained in your application will be collected by Ophelos ("Controller"),
located at 1 Finsbury Ave, London EC2M 2PF, and can be contacted by emailing support@ophelos.com. Controller's data protection
contact is Kofi Barnes, who can be contacted at support@ophelos.com.
This notice explains how we process your personal data throughout our recruitment process, including at the interview stage
described below. Applying for a role with Ophelos is subject to the practices described in this notice — it is not a separate
agreement you sign, but a description of how the recruitment process works. You won't be given a separate notice at each stage;
Ophelos retains discretion over which of the described tools and processes are applied to any given application or interview,
within the purposes set out below. This discretion does not extend to introducing automated decision-making without human review —
that is addressed separately below.
What we use your data for
Your personal data will be processed for the purposes of managing Controller's recruitment-related activities, which include
reviewing applications, setting up and conducting interviews and tests, evaluating and assessing the results, and as is otherwise
needed in the recruitment and hiring process.
As part of this process, we use software tools — including AI-assisted tools — to help us organise, screen, and evaluate
Currently, these AI-assisted outputs are advisory only. A human recruiter reviews every application and every AI-generated score
or summary before any decision is made, and no application is filtered out or rejected by an automated process alone.
We may in future use automated tools to make, or take part in making, decisions about your application without human review at
that stage, if we do so in a way that complies with applicable law at the time — for example, by obtaining your explicit consent,
or where the decision is necessary for entering into a contract with you, and in either case only with appropriate safeguards,
including your ability to request human review of, and to contest, that decision. If we intend to introduce this, we will update
this notice and separately inform you before it applies to your application — this notice alone does not authorise it.
We also use historical, aggregated recruitment data to improve our processes generally — for example, to better understand which
factors tend to be associated with successful hires. Where this involves data from past applicants, it is anonymised or aggregated
before use, and is not used to make any decision about a specific individual.
Such processing is legally permissible under Art. 6(1)(f) UK/EU GDPR as necessary for the legitimate interests pursued by the
Controller: the solicitation, evaluation, and selection of applicants for employment, and the improvement of Controller's
recruitment processes.
Interviews — recording and transcription
If you're invited to an interview conducted by video or phone call, it will be recorded and automatically transcribed as a
standard part of our recruitment process — this is described in this notice, which applies to your application as explained above.
structured notes for the interview panel, and to help train and improve our own recruitment tools as described above.
Greenhouse.
point for the panel, not a decision in itself.
Recording and transcribing interviews in this way is necessary for us to evaluate all candidates fairly and consistently, and is
carried out under our legitimate interests (Art. 6(1)(f) GDPR) in running a fair, well-documented recruitment process.
Who we share your data with
Your personal data will be shared with the following processors, engaged by Controller to help manage its recruitment and hiring
materials (United States)
We use application and interview data, including through AI-assisted tools, to train and improve our own internal recruitment
tools and models — for example, to refine how we identify relevant skills and experience, and to better understand what tends to
be associated with successful hires. This is part of how we evaluate and improve our recruitment process on an ongoing basis.
The third-party AI providers who process this data on our behalf do not use it to train their own general-purpose AI models — it
is used only to generate the specific outputs described in this notice.
International data transfers
Because the above providers are located in or transfer data to the United States, if you are located outside the United States,
your personal data will be transferred to the United States once you submit it or once your interview is processed. Where the
European Commission has not made an adequacy determination covering such a transfer, it is subject to appropriate safeguards,
including Standard Contractual Clauses and/or the EU-U.S. Data Privacy Framework where the recipient is certified. You can obtain
a copy of the relevant safeguards by contacting support@ophelos.com.
How long we keep your data
Your personal data, including any interview recordings, transcripts, and AI-generated summaries, will be retained for the duration
of the recruitment process and for 24 months afterwards, to allow us to consider you for other roles and manage any related legal
claims, after which it will be deleted or anonymised. You can request earlier deletion at any time by contacting
support@ophelos.com.
Your rights
Under the GDPR, you have the right to request access to your personal data, to request that it be rectified or erased, and to
request that processing be restricted. You also have the right to data portability and the right to object to processing based on
legitimate interests, including interview recording — though for the reasons explained above, we may not be able to progress an
application where a candidate objects to standard recording of the interview stage. In addition, you may lodge a complaint with an
EU or UK supervisory authority (in the UK, the Information Commissioner's Office).
REQ ID: FEQ127R254 Location: Hybrid – London As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & 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 most value out of their data. 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 specification with exceptional customer empathy. The impact you will have: * 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 * 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 * Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. * Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. * Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. * 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. * Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. * Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: * Extensive experience in data engineering, data platforms & analytics, or software engineering * Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks * Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one * Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals * Familiarity with CI/CD for production deployments * Working knowledge of MLOps, ML/AI models and AI APIs * Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. * Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. * Documentation and white-boarding skills. * Experience working with enterprise clients and managing conflicts across a broad stakeholder range * 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. * Travel to customers 20% of the time * Databricks Certification preferred but not essential About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — 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™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion 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. Compliance 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.
01Health is at an inflection point. The platform is built, revenue is accelerating, and we are moving from a single-specialty company to a multi-vertical specialist healthcare platform, with AI as embedded clinical infrastructure. Our vision is to help all clinicians deliver the latest innovations in healthcare, improving the standard of care for millions of people. Backed by the investors behind Revolut, CityMapper, and Depop, we're scaling fast across the UK and beyond, and are looking for exceptional people to join us on our mission. What is happening at 01Health right now: Balderton-backed Series A company 90% of UK patients can reach an 01Health–affiliated clinic within 30 minutes All growth has been inbound, ~50% word of mouth 4.98★ customer rating from the dentists who use us Aerox (sleep) ready for national rollout to top-performing 01 Partners, with a 300+ clinic waitlist US expansion live New verticals being tested and prototyped We are not searching for product–market fit anymore. We are ready to dominate the market, and to do it across multiple medical specialties, transforming lives in the process. The role: We are seeking a Forward Deployed AI Engineer to lead the end-to-end design, development, and scaling of critical product verticals across our platform. You will identify, build, and ship AI-driven features that meaningfully enhance clinician and patient experiences while driving measurable business outcomes. This role sits at the intersection of clinical needs, technical feasibility, and commercial strategy. You will spend most of your time in the codebase, writing and maintaining the technical solutions to the problems you identify, often embedded directly with clinicians and customers. What you will do: Engineering & Delivery Design, build, and ship AI-powered features that improve clinical decision-making, patient outcomes, and operational efficiency. Own the end-to-end feature lifecycle: prototype, production code, deployment, and post-launch optimisation, ensuring quality, performance, and measurable impact. Work directly with clinicians and customers to turn real-world problems into working software, iterating quickly on live feedback. Collaborate with other engineers to keep solutions technically sound, scalable, and maintainable. Applied AI Evaluate emerging AI technologies, prototype rapidly, and define implementation approaches with a bias toward shipping. Translate ambiguous opportunities into concrete technical requirements and working systems. Data-Driven Decision Making Creating and maintaining key feature evals to monitor and improve products you have built. Use quantitative and qualitative insights, including product analytics, user feedback, and clinical research, to prioritise what to build and validate hypotheses. Define and instrument key metrics for feature adoption, effectiveness, and business impact, continuously iterating for optimal outcomes. Customer & Market Insight Conduct hands-on user research to identify unmet needs where engineering can deliver significant value. Benchmark against competitors and emerging AI trends to keep the product innovative. Commercial & Business Impact Connect what you build to strategic outcomes such as user retention, operational efficiency, and revenue growth. Serve as the technical owner for your verticals, communicating progress and impact to stakeholders across the business. What we are looking for: Strong engineering ability and a drive to build; you'd rather ship a working prototype than write a spec about one. Naturally curious about AI, actively seeking opportunities to enhance products and internal workflows through emerging technologies. Comfortable owning features end-to-end, from writing production code to deploying and iterating in front of real users. Strong commercial awareness and an interest in connecting AI opportunities to measurable business outcomes. User-focused and insight-driven, leveraging qualitative and quantitative inputs to inform thoughtful technical decisions. Startup mindset: proactive, adaptable, and energized by working in fast-moving, evolving environments. Location: Able to commute to our London office on Mondays, Wednesdays, and Fridays. Why join us: Real impact, every day - your work directly changes patient outcomes. You'll feel it, and so will the people whose care you're improving. 25 days holiday + your birthday off - because no one should work on their birthday! Outsized leverage and full ownership - real authority today, lasting impact tomorrow; what you build now shapes how this company operates at every stage after. Grow fast - backed by top VCs and built by the best; you'll be learning from some of the sharpest minds in health-tech every single day. Vitality Health cover - private medical insurance, because we take care of the people who take care of the business. Team Perks - enjoy regular team lunches, quarterly socials, and an annual company retreat. Hybrid working - we all come together three days a week, but the rest of the time, enjoy the flexibility to work from home or our Hoxton office.
For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. You independently lead the most complex AI deployments Smartsheet undertakes. You own the full engagement lifecycle from technical discovery through production deployment through solutions org handoff. You architect multi-agent solutions, design client-personalized MCP resource packs, and build the Deployment Kits that transform how 200+ solutions consultants and partners operate. You mentor junior FDEs, drive the intelligence loop, and present field findings at weekly Applied AI strategy sessions. You are building a function, not filling a role. What You Will Do * Lead complex, multi-system AI deployments end-to-end scope, architect, build, validate, and manage the customer relationship throughout. * Own the AI workshop program for your pod, customize modules per customer, lead technical sessions, translate outputs into production requirements, evolve content from field learning. * Architect multi-agent solutions selecting the right coordination pattern for each customer’s workflow characteristics and compliance requirements. * Design client-specific and industry-specific MCP resource packs that serve personalized intelligence from the server so every connected AI surface gets smarter for that customer automatically. * Own Deployment Kit quality for your pod. If a kit is not documented well enough for a solutions consultant with no engineering background to follow, it isn’t done. * Lead Solutions Enablement Sprints: transfer AI deployment patterns to solutions consultants and partners with training materials and certification criteria. * Drive the intelligence loop: author strategic memos, present field findings weekly, contribute Agent Bricks and Skills, file RFCs for platform improvements. * Mentor junior FDEs on customer engagements, code reviews, and Deployment Kit quality. Required * 6–10+ years production software engineering, including 3+ years deploying AI/ML to production. Deep Python; strong TypeScript/JavaScript. * Proven track record leading complex enterprise technical engagements. You’ve managed customer relationships, navigated security reviews, and delivered production systems organisations depend on. * Deep production LLM experience: multi-agent orchestration, MCP/tool-use, RAG optimisation, evaluation frameworks, agent deployment at scale. * System architecture expertise spanning enterprise systems, cloud infrastructure, and AI services explainable to a CIO and a junior engineer. * Demonstrated ability to create reusable technical assets that others use in production. You think in platforms, not projects. * Strong written and verbal communication. Architecture documents, runbooks, strategic memos, training materials. Your Deployment Kits are your portfolio. * You leave teams better than you found them. You make sure the people you work with understand what was built, why it works, and how to own it without you. * Ability to travel. This role requires domestic and international travel approximately 25–50% of the time. * Elligible to work in the UK on an ongoing basis * BS or MS in Computer Science, a related field, or equivalent industry experience Nice to Have: * Experience founding or scaling an FDE/solutions engineering function. * Technical founder background. Databricks, AWS Bedrock, or Temporal experience. * Deep domain knowledge in healthcare, financial services, or government. Agent framework contributions (Strands SDK, LangChain, open-source MCP servers). * Proficiency in German/French language will be an added advantage * Familiarity of AI governance, ethics, and regulatory requirements (e.g. GDPR, UK/EU AI Act) Get to Know Us: At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together. Equal Opportunity Employer: Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, India, and Singapore. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know. #LI-Remote