Who we are

The role

At Helsing we develop and deliver AI-based capabilities and the enabling infrastructure that allow semi-autonomous platforms to localise, navigate, and perceive the world in real time. We build software that is subject to significant and unorthodox technical constraints, must operate in a wide variety of constantly-changing environments, and has to support an ever-growing list of challenging use-cases. What we build ultimately ends up in the hands of real people in high-risk, high-stress situations, so must be both reliable and frictionless. Taken together, this brings a whole host of interesting engineering challenges across a wide variety of fields that you’ll help us solve. To give some examples:

• Distributed systems (e.g., intermittent connectivity and byzantine actors)

• Embedded computing (e.g., resource-constrained compute and reverse-engineering)

• Robotics (e.g., control systems and tasking)

• Networking (e.g., long-range low-bandwidth radios and cross-medium routing)

• Deployment infrastructure (e.g., air-gapped devices and heterogenous fleets)

• Security (e.g., data sharing in low-trust, no-TLS networks and actually-secret data handling)

• Machine learning (e.g., systems for model development, storage, and dissemination)

In several of these areas, we are working near the state-of-the-art; we actively read (and sometimes implement) research papers, and often need to push even further to make theory work in practice. In others, we are applying well-known techniques to real-world situations (with real-world limitations) that have never been used in before, which requires skill, diligence, and honing a deep understanding of the underlying technologies.

The day-to-day

• Review code contributions, proposals, and RFCs from colleagues. At Helsing we strongly believe that unblocking others takes precedence over spending more time on your own work.

• Propose and implement new features, capabilities, algorithms, infrastructure, or even full products across our stack. We encourage our engineers to look beyond their immediate team for missed opportunities, and to speak up when they identify one.

• Become a mentor, find a mentee, and help support and develop our interviewing pipeline. The people make or break the company, and we want as many engineers as possible to be part of fostering and growing the organisation.

• Share your experience and technical know-how with other Helsingers. We host tech talks, get together for smaller “let’s learn together” groups, run topical office hours (e.g., on Rust), etc. to help each other get better with time.

• Maintain our existing software stack, including working with internal and external customers to identify issues, improving operational reliability and performance, and fending off technical debt. The stack is a mix of Rust and Python, with Python mainly living in the ML-heavy sections.

• Further develop our tests and benchmarks, both at the micro and macro level. We operate in a domain where robustness is of the utmost importance, and an extensive and ever-improving test suite is key to achieving that. And without thorough benchmarks, we would be flying blind.

• Present your work at our weekly demo sessions. We want engineers to come together around what they are working on and to feel like they are not endlessly squirrelling away at something that doesn’t matter. To that end, we host (and actively work towards) demo sessions that allow early feedback, celebration of progress, and a better shared understanding of everything that goes on at Helsing.

You should apply if you

• Can write legible, maintainable, and performant code.

• Communicate well in English, both verbally and in writing.

• Enjoy collaborating with others, including reviewing code and pair programming.

• Are comfortable working asynchronously (writing PRs and RFCs, having discussions by email).

• Have backend development experience, ideally with a language like Rust, Java, Go, or C++.

• Are familiar with backend interface tools like REST, GraphQL, gRPC/Protocol Buffers, and Arrow.

• Strive to improve yourself, your peers, and the culture you work in over time.

• Feel like ethical considerations are an inherent part of engineering.

Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Nice to have

• Rust and Python specifically.

• Container-based and cloud-native application architectures (e.g., Docker, Azure, AWS).

• Metrics tooling (e.g., Prometheus, Grafana, ELK).

• SQL and streaming database systems.

• Routing protocols (e.g., IGP, BGP).

• Cryptographic protocols (e.g., Signal, WireGuard).

• Hardware interfaces (e.g., Arduino).

• Robotics (e.g., control systems).

• Production ML systems.

Join Helsing and work with world-leading experts in their fields 

• Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns. 

• The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world. 

• Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward. 

• In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.  

• We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about. 

What we offer

• A focus on outcomes, not time-tracking

• Competitive compensation and VSOP options

• Relocation support

• Social and education allowances

• Regular company events and all-hands to bring together employees as one team across Europe

• A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one 

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

Who we are

The role

Software only matters when it is actively being used and making a difference. As a Deployed AI Engineer, you will be at the heart of this - taking state-of-the-art software and integrating it into complex systems. You will be defining and executing against the end-to-end outcome and all steps on the way to delivering novel capabilities in some of the most challenging environments around.

For example: you collaborate directly with customer avionics engineers to understand the data structures and APIs used in aircraft mission control systems. Instead of being scared, you embrace the complexity of unfamiliar databases, APIs, or network protocols; you dig into the specification and use your creativity and ingenuity to implement adapters for integrating them with Helsing’s cloud infrastructure. By working closely with our partners and customers (both metaphorically and quite literally), you continuously evolve, improve, and operate Helsing software. You own the outcome end-to-end.

The day-to-day

In close collaboration with our product teams, you will discover and formalise customer requirements, identify bugs, and ship the latest features directly to our users. Technology demonstrations are our chance to shine - you will coordinate between customers, partners, and Helsing engineers to showcase Helsing’s software and AI capabilities in simulations or with real systems.

You should apply if you

• Have a degree in computer science, software engineering, electrical engineering, or other relevant fields.

• Have a broad understanding and creative use of computer systems; this is the Swiss army knife in Helsing’s toolbox of world-class talent.

• Prefer asking questions over stipulating answers.

• Love figuring things out, digging deeper and deeper into unfamiliar systems until it finally clicks, and you understand how they work.

• Are not afraid of legacy systems and would rather make them work than give up and try to rewrite it all.

• Are comfortable with scripting languages such as Bash or Python and have experience with software engineering in C++, Java, Rust, or similar.

• Can navigate and configure Linux systems and have an understanding of network stacks and database systems.

• If applying for Germany- it is a requirement that you are able to speak business level or fluent German

Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Nice to have

• Experience with Rust and Python.

• Experience with container-based, cloud-native and edge application architectures.

• Experience with maintaining and operating production systems using Prometheus, Grafana, ELK, or similar.

• Experience with SQL, NoSQL, and streaming database systems.

• Experience with production ML systems.

• Bonus points: you have professional experience working in a defence context.

Join Helsing and work with world-leading experts in their fields 

• Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns. 

• The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world. 

• Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward. 

• In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.  

• We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about. 

What we offer

• A focus on outcomes, not time-tracking

• Competitive compensation and VSOP options

• Relocation support

• Social and education allowances

• Regular company events and all-hands to bring together employees as one team across Europe

• A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one 

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

Inbank is a financial technology company with an EU banking license that connects merchants, consumers, and financial institutions on its next-generation embedded finance platform. Our financing solutions are embedded seamlessly into the shopping journey of 6,000+ retailers. With a focus on innovation and growth, we are looking for talented people to join our team of 450+ working across our offices in Estonia, Latvia, Lithuania, Poland, and the Czech Republic.

Due to our ambitious AI integration goals, we are looking for an AI Platform Engineer to join our Product & Technology unit in Tallinn. 

At Inbank, AI is already embedded in our products and workflows—you won’t be starting from scratch. Instead, you will build on an existing foundation and scale its impact across the organization.

This is a hands-on role with strong strategic impact, working closely with the CPTO & Head of Tech Platform to shape and drive our AI platform strategy. You’ll play a key role in guiding decisions across architecture, tooling, and cloud infrastructure, helping turn vision into execution. In doing so, you will connect AI strategy to tangible business value - ensuring strong ROI while upholding banking-grade security, data protection (DLP), and regulatory compliance.

What you will be doing?

• Take ownership of how AI evolves at Inbank—shaping the strategy and turning ideas into production-ready solutions.
• Work closely with the CPTO & Head of Tech Platform to build and evolve Inbank’s AI ecosystem, making key decisions on LLM architecture (internal vs. external), agentic tooling, and cloud infrastructure.
• Evaluate the current landscape of tools and applications to identify what delivers value, where improvements are needed, and where AI and automation can have the greatest impact.
• Design, prototype, and implement AI solutions (PoCs), writing code and configuring services to validate ideas quickly and scale successful ones into production.
• Own AI as an internal product—managing vendor costs, optimizing model usage, and ensuring every initiative delivers measurable business value and ROI.
• Build a secure and scalable AI foundation for a regulated environment, ensuring GDPR compliance, enforcing data loss prevention (DLP), and maintaining strong auditability.
• Enable engineers across the organization by providing the right toolkits, frameworks, MCP servers, and best practices for safe and effective AI adoption.
• Establish clear guidelines and governance for AI usage, working closely with Risk, Oversight, and senior leadership to ensure compliance and alignment with company priorities.
• Contribute to the long-term vision of embedding AI across Inbank, making it a secure, scalable, and impactful part of everyday work.

Ideally, you would have:

• A strong background in machine learning, data engineering, or similar, with a solid understanding of how models and data systems work in practice.
• The ability to move seamlessly between big-picture thinking and hands-on execution.
• Experience working with modern AI ecosystems, including LLMs and cloud-based platforms.
• A sharp eye for data quality and an understanding of how it impacts the success of AI solutions.
• A practical mindset for turning technical capabilities into real business impact and measurable ROI.
• Experience working in environments where security, privacy, and regulatory requirements matter (fintech is a plus, not a must).
• Confidence engaging with senior stakeholders, challenging ideas, and influencing decisions.
• The ability to communicate complex topics in a clear, structured, and convincing way.
• A proactive, ownership-driven approach and comfort operating in a fast-moving, sometimes ambiguous environment.

Why you’ll enjoy working here?

• You'll be taking ownership within an already active AI ecosystem, working alongside top leadership to elevate it further.
• Competitive salary aligned with your experience and expertise.
• Wellbeing support, including sports compensation or additional health insurance.
• Extra vacation days starting from your third year with us.
• 6-week paid sabbatical after four years at Inbank for employees with strong performance.
• A challenging and inspiring environment where you have the autonomy to shape the AI backbone of a leading fintech.
• Dedicated learning and development budget to support your professional growth.
• Fun and connection through company-wide and team events.

Sounds like a fit? Apply and our recruitment team will be in touch. If you’re unsure but curious, apply anyway — we’re happy to explore together.

Inbank is a financial technology company with an EU banking license that connects merchants, consumers, and financial institutions on its next-generation embedded finance platform. Our financing solutions are embedded seamlessly into the shopping journey of 6,000+ retailers. This helps our merchant partners grow their businesses, while end customers benefit from a frictionless shopping experience wherever they are. With a focus on innovation and growth, we are looking for talented people to join our team of 440+ working across our offices in Estonia, Latvia, Lithuania, Poland, and the Czech Republic.

Due to our growth ambitions, we are looking for a talented Credit Risk Underwriting Modeller to join our Riga office. In this hands-on role, you will help improve how we assess credit risk and ensure the profitability of our products by developing and refining statistical models used in credit decisioning.

You will work closely with credit risk specialists and technology teams, combining data, business understanding, and modeling techniques to build effective underwriting solutions. In this role, your work will have a direct impact on business performance. By improving credit decision models, you will contribute to better risk management and stronger profitability—playing a key role in shaping data-driven decisions across the organization.

What will you be doing?

• Develop, improve, and maintain statistical models used in credit underwriting.
• Own the end-to-end modeling process: from data collection and preparation to model development, validation, and monitoring.
• Analyze and combine internal and external data sources to enhance model performance.
• Continuously monitor models and optimize them for accuracy, risk management, and profitability.
• Collaborate with the technology team to improve automated credit decision systems (decision engine, data integrations, workflows).
• Work closely with credit risk underwriters and product managers to translate business needs into effective modeling solutions.
• Prepare analytical reports and ensure clear model documentation and transparency.
• Stay up to date with industry trends and best practices in credit risk modeling.

 Ideally, you would have:

• 3+ years of proven experience in a similar role (statistical, predictive, or data modeling); experience in fintech or banking is a plus.
• Solid understanding of statistical methods and machine learning techniques, with the ability to apply them in practice.
• Strong analytical mindset and confidence working with complex, real-world datasets.
• Strong SQL skills, with hands-on experience in data extraction and manipulation.
• Proficiency in Python, R, or similar tools.
• Ability to work independently while collaborating effectively with cross-functional teams.
• Clear communication skills in English, both written and spoken.

What you’ll get in return?

• The offered salary is within the range of €4,000–€5,000 gross per month, along with a comprehensive benefits package.
• Wellbeing support through sports compensation or additional health insurance to help you stay active and healthy.
• A 6-week paid sabbatical after four years, recognising strong performance and long-term contribution.
• A dynamic and inspiring work environment where you’re encouraged to grow and take ownership of your work.
• Flexibility through a hybrid and autonomous way of working, built on trust and accountability.
• The opportunity to collaborate with talented international colleagues across multiple markets.
• Regular team events and additional perks that make work more enjoyable and help celebrate successes together.

Sounds like a fit?

Apply, and our recruitment team will be in touch. If you’re unsure but curious, apply anyway - we’re happy to explore together.

Inbank is a financial technology company with an EU banking license that connects merchants, consumers, and financial institutions on its next-generation embedded finance platform. Our financing solutions are embedded seamlessly into the shopping journey of 6,000+ retailers. This helps our merchant partners grow their businesses, while end customers benefit from a frictionless shopping experience wherever they are. With a focus on innovation and growth, we are looking for talented people to join our team of 440+ working across our offices in Estonia, Latvia, Lithuania, Poland, and the Czech Republic.

Due to our growth ambitions, we are looking for a talented Credit Risk Underwriting Modeller to join our Tallin office. In this hands-on role, you will help improve how we assess credit risk and ensure the profitability of our products by developing and refining statistical models used in credit decisioning.

You will work closely with credit risk specialists and technology teams, combining data, business understanding, and modeling techniques to build effective underwriting solutions. In this role, your work will have a direct impact on business performance. By improving credit decision models, you will contribute to better risk management and stronger profitability—playing a key role in shaping data-driven decisions across the organization.

What will you be doing?

• Develop, improve, and maintain statistical models used in credit underwriting.
• Own the end-to-end modeling process: from data collection and preparation to model development, validation, and monitoring.
• Analyze and combine internal and external data sources to enhance model performance.
• Continuously monitor models and optimize them for accuracy, risk management, and profitability.
• Collaborate with the technology team to improve automated credit decision systems (decision engine, data integrations, workflows).
• Work closely with credit risk underwriters and product managers to translate business needs into effective modeling solutions.
• Prepare analytical reports and ensure clear model documentation and transparency.
• Stay up to date with industry trends and best practices in credit risk modeling.

 Ideally, you would have:

• 3+ years of proven experience in a similar role (statistical, predictive, or data modeling); experience in fintech or banking is a plus.
• Solid understanding of statistical methods and machine learning techniques, with the ability to apply them in practice.
• Strong analytical mindset and confidence working with complex, real-world datasets.
• Strong SQL skills, with hands-on experience in data extraction and manipulation.
• Proficiency in Python, R, or similar tools.
• Ability to work independently while collaborating effectively with cross-functional teams.
• Clear communication skills in English, both written and spoken.

What you’ll get in return?

• A competitive salary tailored to your experience, along with a comprehensive benefits package.
• Wellbeing support through sports compensation or additional health insurance to help you stay active and healthy.
• A 6-week paid sabbatical after four years, recognising strong performance and long-term contribution.
• A dynamic and inspiring work environment where you’re encouraged to grow and take ownership of your work.
• Flexibility through a hybrid and autonomous way of working, built on trust and accountability.
• The opportunity to collaborate with talented international colleagues across multiple markets.
• Regular team events and additional perks that make work more enjoyable and help celebrate successes together.

Sounds like a fit?

Apply, and our recruitment team will be in touch. If you’re unsure but curious, apply anyway - we’re happy to explore together.

Inbank is a financial technology company with an EU banking license that connects merchants, consumers, and financial institutions on its next-generation embedded finance platform. Our financing solutions are embedded seamlessly into the shopping journey of 6,000+ retailers. This helps our merchant partners grow their businesses, while end customers benefit from a frictionless shopping experience wherever they are. With a focus on innovation and growth, we are looking for talented people to join our team of 440+ working across our offices in Estonia, Latvia, Lithuania, Poland, and the Czech Republic.

Due to our growth ambitions, we are looking for a talented Credit Risk Underwriting Modeller to join our Gdańsk office. In this hands-on role, you will help improve how we assess credit risk and ensure the profitability of our products by developing and refining statistical models used in credit decisioning.

You will work closely with credit risk specialists and technology teams, combining data, business understanding, and modeling techniques to build effective underwriting solutions. In this role, your work will have a direct impact on business performance. By improving credit decision models, you will contribute to better risk management and stronger profitability—playing a key role in shaping data-driven decisions across the organization.

What will you be doing?

• Develop, improve, and maintain statistical models used in credit underwriting
• Own the end-to-end modeling process: from data collection and preparation to model development, validation, and monitoring
• Analyze and combine internal and external data sources to enhance model performance
• Continuously monitor models and optimize them for accuracy, risk management, and profitability
• Collaborate with the technology team to improve automated credit decision systems (decision engine, data integrations, workflows)
• Work closely with credit risk underwriters and product managers to translate business needs into effective modeling solutions
• Prepare analytical reports and ensure clear model documentation and transparency
• Stay up to date with industry trends and best practices in credit risk modeling

 Ideally, you would have:

• 3+ years of proven experience in a similar role (statistical, predictive, or data modeling); experience in fintech or banking is a plus
• Solid understanding of statistical methods and machine learning techniques, with the ability to apply them in practice
• Strong analytical mindset and confidence working with complex, real-world datasets
• Strong SQL skills, with hands-on experience in data extraction and manipulation
• Proficiency in Python, R, or similar tools
• Ability to work independently while collaborating effectively with cross-functional teams
• Clear communication skills in English, both written and spoken

What you’ll get in return?

• A competitive salary tailored to your experience, along with a comprehensive benefits package.
• Wellbeing support through sports compensation or additional health insurance to help you stay active and healthy.
• A 6-week paid sabbatical after four years, recognising strong performance and long-term contribution.
• A dynamic and inspiring work environment where you’re encouraged to grow and take ownership of your work.
• Flexibility through a hybrid and autonomous way of working, built on trust and accountability.
• The opportunity to collaborate with talented international colleagues across multiple markets.
• Regular team events and additional perks that make work more enjoyable and help celebrate successes together.

Sounds like a fit?

Apply, and our recruitment team will be in touch. If you’re unsure but curious, apply anyway - we’re happy to explore together.

We are looking for a Strategy & Operations Manager to join our Autonomous Driving team in Europe. You will play a pivotal role in driving strategic and operational excellence across one of the most complex and high-stakes programmes in the company - working across strategic decision making, financial planning, and cross-functional project management to bring our autonomous mobility vision to life.

With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.

We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, national origin, age, or disability.

Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!

As Strategy & Operations Manager, you will support the Chief of Staff and the Head of Autonomous Driving - turning ambiguous, high-priority challenges into structured plans and measurable outcomes. You will own critical workstreams that sit at the intersection of strategy, finance, and operations, working closely with internal teams and external stakeholders to keep the programme moving at pace.

This is not an execution-only role. You will shape how the team makes decisions, allocates resources, and presents itself externally - influencing outcomes that are fundamental to the future of the programme.

• Own the end-to-end project management for strategic projects. Coordinate across internal teams (Product, Engineering, Legal, Public Policy, Finance) and external advisors to prepare compelling business plans and management reports.
• Partner with senior leadership on strategic decision making by preparing market analyses (TAM, unit economics, competitive intelligence, regulatory landscape), detailed multi-scenario financial models and business cases.
• Own the annual and quarterly budgeting cycle for the Autonomous Driving programme. Track budget vs. actuals, identify variances, and drive corrective action. Coordinate with central FP&A and Accounting teams across the financial reporting cycles.
• Provide structured analysis and recommendations to support high-stakes decisions. Build frameworks for evaluating market opportunities, operational trade-offs, and investment priorities, and distil complex information into concise outputs for senior leadership.
• Act as the connective tissue between the Autonomous Driving team and the rest of the organisation to drive alignment and accelerate execution.
  

Experience with ML safety, explainability, or perception system robustness is nice to have.

• Significant experience (5-8+ years) in strategy, investment banking, management consulting, or a high-growth tech or venture environment.
• Strong financial modelling skills, with experience building business plans, scenario analyses etc.
• Proven track record managing complex, cross-functional projects with multiple stakeholders and competing priorities.
• Experience with institutional funding applications or grant management is a strong advantage.
• Exceptional written and verbal communication skills - able to translate complex analysis into clear, compelling narratives for senior audiences.
• Highly structured and self-directed, with the ability to operate with ambiguity and drive clarity independently.

Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying if you feel you’re the kind of person described above!

• Play a direct role in shaping the future of mobility.
• Impact millions of customers and partners in 600+ cities across 50+ countries.
• Work in fast-moving autonomous teams with some of the smartest people in the world.
• Accelerate your professional growth with unique career opportunities.
• Get a rewarding salary and stock option package that lets you focus on doing your best work.
• Enjoy the flexibility of working in a hybrid mode with a minimum of 2 days in the office each week to foster strong connections and teamwork.
• Take care of your physical and mental health with our wellness perks.

*Some perks may differ depending on your location and role.

 
We’re looking for a seasoned Data Scientist to architect the next generation of our campaign optimization systems. You will design and scale the logic that determines which users to target and which incentives to deploy to maximize investment efficiency. If you’re excited to apply Machine Learning and Causal Inference to drive global impact, join us!

 

 
 
With over 200 million users in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.

We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, national origin, age, or ability.

Our ultimate goal is to make cities for people, not cars. And we need your help on this mission!
 

 
 
You’ll own Bolt’s campaign optimization systems end-to-end, architecting the "brain" that determines how we allocate rider and driver incentives globally. As a Senior Data Scientist, you will be the driving force in elevating our technical standards, pioneering solutions that bridge the gap between academic research and product development. You will serve as a technical "North Star"—mentoring colleagues and setting the bar for rigorous, maintainable data products that directly shape the experience of over 200 million customers worldwide.
 

 
 
  

• Lead the technical vision for our campaign optimization roadmap, translating high-level objectives into data science products.
• Architect and deploy end-to-end uplift models and optimization systems that maximize our investment efficiency.
• Design and execute advanced experimentation frameworks to reliably measure campaign incrementality.
• Set the gold standard for technical excellence by championing rigorous statistical and engineering practices.
• Serve as a mentor and advisor on highly technical challenges.
• Partner with Product, Engineering, and Operations to identify opportunities and develop pragmatic solutions that solve intricate business problems.

 
 

• Pragmatic problem solver, able to work autonomously from research to production deployment.
• 5+ years of experience in applied ML; experience in a growth role (marketplace pricing or incentives) is a plus.
• Exceptional knowledge of ML, statistics with hands-on experience in causal inference/ML.
• Expert proficiency in Python and SQL.
• A natural mentor who enjoys leveling up those around you and can explain the "why" behind complex mathematical concepts.
   

 
Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying!
 

 
 

• Play a direct role in shaping the future of mobility.
• Impact millions of customers and partners in 600+ cities across 50+ countries.
• Work in fast-moving autonomous teams with some of the smartest people in the world.
• Accelerate your professional growth with unique career opportunities.
• Get a rewarding salary and stock option package that lets you focus on doing your best work.
• Enjoy the flexibility of working in a hybrid mode with a minimum of 3 days in the office each week to foster strong connections and teamwork.
• Take care of your physical and mental health with our wellness perks.
   

  *Some perks may differ depending on your location and role.

What is this role about?

As Head of Product, Servicing, you will make sure that all Bondora operations are loved by customers, fully automated, and competitive. This complex role spans numerous disciplines: operations, customer experience, ML/LLM, psychology, and technology. 

You’ll build a product  strategy around customer support, debt collections, KYC/AML, and execute it with a cross-functional team. You’ll also be a member of the Product Leadership team, building one of the strongest product engineering teams on the planet (not an understatement ;)).

Your main responsibilities will be:

• Discover, communicate, and execute a product strategy for operations  that will have customers choosing Bondora over competitors 
• Lead a cross-functional team of engineers, data scientists, product managers, designers, and operational specialists. You’ll be both the source of inspiration and a coach who turns team members into product experts capable of making great decisions for the customers and the company.
• Take ownership and drive company-level strategic initiatives. As the operations expert, you’ll often help shape areas outside of your direct responsibility.
• Coach a team of passionate business-focused product managers. At Bondora, we make time for best practices because they lead to great results, rather than just discussing them.
• As part of Product Leadership, build a product & engineering organization to be proud of. As you’ll be joining early, there’s still a lot of room to be opinionated and make it in your own image.
• Combine deep customer understanding (experience, psychology, incentives) and technology (automations, government and partner integrations, machine learning, large language models) to deliver customer love and operational efficiency.  

What you’ll bring:

• You’ve worked on operational problems in a consumer business.
• You have 5+ years of experience in leadership roles.
• You have a strong grasp of business fundamentals: unit economics, P&L, business models, etc.
• You have a deep understanding of technology and the possibilities it offers for automation.
• As a bonus, you might have worked on consumer credit products, LLMs, AML, Fraud, or Privacy.

What can you expect at Bondora? 

• Contribute to Bondora’s ambitious goal of reaching €1B in revenue by the end of 2026. Your skills and efforts will directly impact our growth trajectory and shape the future of our company.
• Our employees deserve the best. We recognize our people with a competitive salary and a generous benefits package (daily lunches in the office, monthly massage, five weeks of vacation, private healthcare compensation, €1,200 hobby grant, mental healthcare support, share options, and more!)
• We provide an environment that encourages your personal and professional growth. As we constantly evolve and innovate, you’ll have endless opportunities (and budget) to expand your skills and skyrocket your career.

The next steps

If you have the guts, ideas, and a team vision, apply now! 

Our hiring process: 

• Meet Karl, our Recruiter: Your first interview with him will give you the chance to share your experiences and aspirations. 
• Engage with Mirko our, Chief Product and Technology Officer
• Put your skills to the test: Tackle a home task to present your skills. 
• Assessments: Complete our personality and logic assessments in Alva platform to showcase your strengths.
• Visit our office to meet product stakeholders on Team DNA interview, showcasing your expertise. 
• A final with our CEO, Pärtel
• The celebration begins: If the stars align, receive an offer to join the Bondora team! 

What is this role about?

As the Head of Product, Credit, you will lead the development of Bondora’s credit decision-making stack. This is a highly cross-functional role working across Credit, Data Science, Risk, Legal, and Engineering to build systems that turn raw data into smart, responsible, and scalable credit decisions. You will shape the roadmap, structure the tooling, and ensure we meet both regulatory and business goals as we scale into the existing and new markets.

Your main responsibilities will be: 

• Continuously talk to customers, validate problems, and turn insights into shipped outcomes
• Drive the vision, strategy, and roadmap for Bondora’s credit decisioning platform, ensuring scalable, compliant, and auditable decisions across markets.
• Design and scale core credit capabilities around data inputs, affordability logic, and credit files, ensuring they are robust, transparent, and ready for multi-country expansion
• Partner closely with Risk, Legal, Country teams, Data Science, and Engineering to evolve scoring logic, feature engineering, and PD modeling
• Enable risk managers with powerful configuration, testing, and monitoring tools (Taktile-powered)
• Own data quality and lifecycle for credit decisioning, ensuring integrity, traceability, and modeling readiness at scale.

What would ensure success in this role?

• Strong product thinking: ability to frame problems, run discovery, and turn insights into measurable shipped outcomes
• Experience building products powered by ML, data models, or AI systems - understanding how models are trained, evaluated, deployed, and monitored 
• Ability to collaborate effectively with both technical (Data Science, Engineering) and non-technical stakeholders (Risk, Legal, Country teams)

Bonus points if you have:

• Experience with credit decisioning or underwriting platforms (e.g., Taktile, Provenir, or similar)
• Exposure to regulated domains such as lending, fintech, or digital banking.

What can you expect at Bondora? 

• Contribute to Bondora’s ambitious goal of reaching €1B in revenue by the end of 2026. Your skills and efforts will directly impact our growth trajectory and shape the future of our company.
• Our employees deserve the best. We recognize our people with a competitive salary and a generous benefits package (daily lunches in the office, monthly massage, five weeks of vacation, private healthcare compensation, €1,200 hobby grant, mental healthcare support, share options, and more!)
• We provide an environment that encourages your personal and professional growth. As we constantly evolve and innovate, you’ll have endless opportunities (and budget) to expand your skills and skyrocket your career.

The next steps

If you have the guts, ideas, and a team vision, apply now! 

Our hiring process: 

• Meet Karl, our Recruiter: Your first interview with him will give you the chance to share your experiences and aspirations. 
• Engage with Alexandra, VP of Product
• Put your skills to the test: Tackle a home task to present your skills. 
• Assessments: Complete our personality and logic assessments in Alva platform to showcase your strengths.
• Visit our office to meet product stakeholders on Team DNA interview, showcasing your expertise. 
• A final with our CPO, Mirko. 
• The celebration begins: If the stars align, receive an offer to join the Bondora team! 

We are looking for a Senior ML Platform Engineer to join our ML Platform team to build, evolve and scale AI Infrastructure that powers Bolt's intelligent services

With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.

We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, age, or disability.

Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!

The ML Platform Team makes ML/AI easy at scale. We streamline development, testing and deployment of ML/AI systems for hundreds of real-time algorithms. 

We own training orchestration, an inference software stack and infrastructure, and a Feature Store, including VectorSearch and RAG tooling. We develop LLM tools and CI/CD for ML, covering the whole range of ML infrastructure needs.

Our tech stack includes TypeScript, Python, Spark (batch and structured streaming), Airflow, n8n, MLflow, LiteLLM, AWS SageMaker, Redis, Elasticsearch, Docker, Kubernetes, AWS (S3, EKS), Terraform, Great Expectations. 

• Designing, building, and optimising components of Bolt’s ML Platform.
• Optimise and extend our in-house Feature Store Platform serving billions of data points in real-time.
• Tune infrastructure (k8s and AWS) and build automations to achieve the best cost-performance.
• Proactively solve technical challenges, discover and build new features, enabling develop efficiency.
• Support our internal users and help with troubleshooting, and turn user problems into scalable solutions.
• Raise our product and technical quality bar, promoting software engineering best practices.

• 5+ years of experience in Software Engineering, out of which 2+ in ML/MLOPS/AI Engineering.
• Experience in leading and delivering complex cross-team projects.
• Production experience with Python, Spark, and Kubernetes.
• Experience in MLOPS and AI ecosystem, and developing end-to-end ML/AI solutions at scale.
• You strive for technical excellence while staying pragmatic to achieve outcomes for the users.

Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying!

• Accelerate your professional growth with unique career opportunities.
• Enjoy a rewarding salary and stock options, knowing that as Bolt succeeds, so do you.
• Take care of your physical and mental health with our wellness perks.
• Celebrate 5 years at Bolt with a 1-month paid sabbatical to recharge.
• Connect with colleagues at annual company events and smaller team gatherings.
• Balance flexibility and in-person collaboration with our hybrid model, including at least 12 monthly in-office days.

*Some perks may differ depending on your location and role.

 
We’re looking for a hands-on Principal Program Manager (AI Project Charter) to drive impact within Rides Central Operations. You’ll solve complex operational problems by designing scalable AI solutions that deliver measurable results across markets.

 
 
  With over 200 million users in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.

  We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, national origin, age, or ability.

  Our ultimate goal is to make cities for people, not cars. And we need your help on this mission!
 

 
 

You’ll personally design and implement AI tools, agents, dashboards, and decision systems, working cross-functionally while maintaining strong individual ownership. You’ll also help define how AI initiatives are prioritised and governed across Rides.

This is an individual contributor (IC) role with high ownership and no direct reports. It’s built for someone eager to build, own, and deliver real change.

 

• Build and deploy AI tools, agents, dashboards, and decision systems for Rides Operations, covering areas such as diagnostics, optimisation, forecasting, policy enforcement, and reporting automation, moving from prototype to production-ready solutions.
• Translate operational complexity into scalable AI solutions with measurable impact, identifying high-friction problems across markets and defining use cases that improve cost, efficiency, reliability, and growth.
• Deliver independently, minimising dependencies while partnering where scale or integration is required, using internal data, APIs, large language models (LLMs), and automation frameworks to ship usable tools even with limited Engineering, Data, or Product bandwidth.
• Create clear decision materials for leadership, highlighting trade-offs, risks, and impact, running structured AI reviews, and aligning priorities with operational and financial outcomes.
• Develop scaling playbooks and drive adoption across regions, guiding pilots through rollout to steady state, tracking performance, and iterating based on usage and feedback.
• Establish principles and governance for responsible AI use in Operations, defining guardrails to ensure solutions are explainable, locally compliant, and aligned with long-term platform standards.

• You have demonstrated hands-on experience building and deploying applied AI solutions, including AI agents and use-case-specific model fine-tuning.
• You have practical experience with enterprise AI ecosystems (e.g. Google Cloud, Gemini) and hands-on usage of tools such as GPT or Claude, including API and workflow integrations.
• You have strong programme delivery capabilities, translating business needs into prioritised execution plans and driving transformation initiatives end to end.
• You can manage senior stakeholders effectively, aligning technical implementation with business objectives.
• You have experience operating within scaled organisations where AI solutions are already live and integrated into core processes.
• You have 8–12 years of combined technical and business working experience. A broader machine learning background, Python and SQL proficiency, and vendor management experience are considered an advantage.

 
 
  Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying!
 

 
 

• Play a direct role in shaping the future of mobility.
• Impact millions of customers and partners in 600+ cities across 50+ countries.
• Work in fast-moving autonomous teams with some of the smartest people in the world.
• Accelerate your professional growth with unique career opportunities.
• Get a rewarding salary and stock option package that lets you focus on doing your best work.
• Enjoy the flexibility of working in a hybrid mode with a minimum of 3 days in the office each week to foster strong connections and teamwork.
• Take care of your physical and mental health with our wellness perks.

 *Some perks may differ depending on your location and role.

 
We are looking for an ambitious Data Scientist to join our Fraud and Payments team and help us convert every order across all of our business lines by detecting potential fraudulent behaviour and optimizing the payment lifecycle.
 

 
 
With over 200 million users in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.

We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, national origin, age, or ability.

Our ultimate goal is to make cities for people, not cars. And we need your help on this mission!
 

 
 
You’ll be working in the Fraud and Payments team, which is responsible for processing 1% of all card transactions in Europe. This team is a cross functional team consisting of product managers, data analysts, software engineers and data scientists. Our engines inspect every order across all of our business lines to detect potential fraudulent behaviour and optimize the payment lifecycle - preventing financial losses due to fraud, optimizing payment costs and helping our users to successfully complete their payments. 
 

 

• Working with a technical stack consisting of Python, Docker, SageMaker, Airflow and Databricks
• Building and improving fraud prediction models using different predictive approaches
• Exploring techniques that can improve the way we manage payments, including Causal and Reinforcement Learning
• Handling the entire lifecycle from project conceptualization and notebook prototyping to productizing and maintaining a machine learning based solution or other automation that might be serving hundreds of millions of users in production
• Leveraging our in-house data and model platform that allows you to launch new projects in a matter of days
• Deploying and A/B testing solutions for millions of users, enabling fast feedback and measurable added value to customers

 

• Exceptional knowledge of machine learning algorithms, statistical inference, and autonomous decision-making systems
• Enthusiasm to collaborate with different roles in product, analytics and engineering to identify problems, explore trends and untap growth opportunities
• Passion for continuous learning and a collaborative mindset, valuing open technical discussions and peer-to-peer knowledge sharing
• Mastery in Python and SQL
• Previous experience in fraud detection, payment optimization or related financial services is a plus
• Strong academic background in a quantitative field

 
Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying!
 

 

• Play a direct role in shaping the future of mobility.
• Impact millions of customers and partners in 600+ cities across 50+ countries.
• Work in fast-moving autonomous teams with some of the smartest people in the world.
• Accelerate your professional growth with unique career opportunities.
• Get a rewarding salary and stock option package that lets you focus on doing your best work.
• Enjoy the flexibility of working in a hybrid mode with a minimum of 3 days in the office each week to foster strong connections and teamwork.
• Take care of your physical and mental health with our wellness perks.

  *Some perks may differ depending on your location and role.

We're looking for an Engineering Manager to lead the Rides Safety team. Your team will build and operate the systems that help keep riders and drivers safe before, during, and after every trip – from preventing abuse and dangerous behaviour to reacting fast when something goes wrong. This is a role with clear, measurable impact on millions of trips and a strong influence on how safety-related product and engineering decisions are shaped and executed across Bolt.

With over 200 million customers in 53+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.

We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, national origin, age, or disability.

Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!

Rides Safety sits at the intersection of engineering, product, and operations. You’ll lead a cross-functional engineering team (backend, mobile platforms, data science) that ships risk signals, in-trip safety features, and incident tooling used by internal teams across many markets. The work is demanding: you’ll balance user experience, growth, and operational cost against safety and risk reduction. There are no perfect answers, you’ll often choose between more friction and more exposure, between false positives and missed events, and contribute to tradeoffs together with Product and Operations. You’ll use data, domain input, and your team’s technical judgment to iterate towards a safer and more reliable system, supporting safety-critical flows across multiple markets and regions.

• Leading and growing talented Software Engineers specialising in backend, mobile platforms and data science development, building and operating systems where failures have real user and operational impact.
• Partnering with Product and Analytics to define safety metrics and use them to guide priorities; using them to guide priorities and measure impact; making pragmatic tradeoffs between catching more risk and avoiding unnecessary user friction, coverage and complexity, global solutions and local needs.
• Defining and driving the team roadmap together with Product, Analytics, and Operations.
• Creating a team setup that enables predictable delivery, good engineering quality, and healthy collaboration.
• Driving individual 1-1s to mentor and coach Software Engineers to develop skills and uncover their potential.
• Communicating context and decisions clearly to engineers, stakeholders, and leadership.

• You have experience owning a product or platform area end-to-end, not just individual projects.
• You can handle ambiguity, narrow down open problem spaces, and move the team from discussion to decisions.
• You have strong backend engineering fundamentals, with the ability to review and challenge designs across backend services, mobile integration, and data/ML systems and ask the right questions.
• You are comfortable working with data: metrics, experiments, dashboards, and basic statistical reasoning.
• You have led high-performing engineering teams, and bring strong leadership and people management skills, with a proven ability to attract, inspire, and retain talent.
• 5+ years of hands-on experience in software development and a deep understanding of how to write maintainable code and performant systems.
• Proven ability to get things done, maintain a strong vision for the future, set up and facilitate engineering processes and make data-driven decisions.

Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying if you feel you’re the kind of person described above!

• Play a direct role in shaping the security and user experience of one of Europe’s leading platforms
• Impact millions of customers and partners in 600+ cities across 53 countries
• Work in fast-moving autonomous teams with some of the smartest people in the world
• Accelerate your professional growth with unique career opportunities
• Get a rewarding salary and stock option package that lets you focus on doing your best work
• Enjoy the flexibility of working in a hybrid mode with a minimum of 2 days in the office each week to foster strong connections and teamwork
• Take care of your physical and mental health with our wellness perks

*Some perks may differ depending on your location and role.

We’re looking for an experienced Data Scientist to join our Rides Safety team and help build our predictive and automated safety and risk systems - from user screening tooling and telemetry anomaly detection to behaviour factors predictions.

If you're excited about applying machine learning and automated decision-making tools to real-world mobility challenges, you’ll find plenty of impactful work here.

With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.

We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, age, or disability.

Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!

You'll own Bolt's Safety automation and prediction systems end-to-end and directly influence users from our marketplace with millions of trips daily, working in an independent and self-sufficient full stack product team - from mobile applications through the server infrastructure. Your daily tasks will range from modelling risk to designing and experimenting with automated intervention strategies. This includes managing the load on automation endpoints and real-time data streams. You’ll identify new safety opportunities, run large-scale experiments, and take predictive and automation models from research to production. This is a highly impactful role where your work will directly shape the experience of over 200 million customers worldwide.

• Identify, research, and prioritise hypotheses to improve automated and predictive safety algorithms (e.g., risk scoring, verification, and progressive interruption systems).
• Develop, deploy, and monitor automated safety systems, ranging from classical supervised learning to real-time risk models and advanced control system designs.
• Design and run large-scale experiments to validate safety approaches and estimate their impact on core safety metrics (e.g., incident rates, verification success, and driver/rider experience).
• Lead the data science and ML-first approach to safety and risk management in the company.
• Partner with analysts, engineers, product managers, and operations specialists to identify safety problems and develop the most efficient, data-informed solutions.

• Strong ownership mindset and comfort working autonomously from problem research to model deployment.
• 3+ years of experience in machine learning for automated decision making.
• Exceptional knowledge of machine learning algorithms, statistical inference, and autonomous decision-making systems.
• Mastery in Python and SQL.
• Skilled at communication with cross-functional stakeholders.

Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying!

We’re looking for an experienced Data Scientist to join our Rides Safety team and help build our predictive and automated safety and risk systems - from user screening tooling and telemetry anomaly detection to behaviour factors predictions.

If you're excited about applying machine learning and automated decision-making tools to real-world mobility challenges, you’ll find plenty of impactful work here.

With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.

We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, age, or disability.

Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!

You'll own Bolt's Safety automation and prediction systems end-to-end and directly influence users from our marketplace with millions of trips daily, working in an independent and self-sufficient full stack product team - from mobile applications through the server infrastructure. Your daily tasks will range from modelling risk to designing and experimenting with automated intervention strategies. This includes managing the load on automation endpoints and real-time data streams. You’ll identify new safety opportunities, run large-scale experiments, and take predictive and automation models from research to production. This is a highly impactful role where your work will directly shape the experience of over 200 million customers worldwide.

• Identify, research, and prioritise hypotheses to improve automated and predictive safety algorithms (e.g., risk scoring, verification, and progressive interruption systems).
• Develop, deploy, and monitor automated safety systems, ranging from classical supervised learning to real-time risk models and advanced control system designs.
• Design and run large-scale experiments to validate safety approaches and estimate their impact on core safety metrics (e.g., incident rates, verification success, and driver/rider experience).
• Lead the data science and ML-first approach to safety and risk management in the company.
• Partner with analysts, engineers, product managers, and operations specialists to identify safety problems and develop the most efficient, data-informed solutions.

• Strong ownership mindset and comfort working autonomously from problem research to model deployment.
• 3+ years of experience in machine learning for automated decision making.
• Exceptional knowledge of machine learning algorithms, statistical inference, and autonomous decision-making systems.
• Mastery in Python and SQL.
• Skilled at communication with cross-functional stakeholders.

Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying!

What is this role about?

As the Lead Machine Learning Engineer at Bondora, you will be the backbone of our Data Science delivery. Your mission is to build the robust infrastructure that powers automated model pipelines, ensures deployment reliability, and governs the full ML lifecycle from experimentation to production.

This is a strategic and hands on engineering role. You will collaborate closely with Data Science, Data Engineering, and Development teams to remove friction, improve scalability, and bring stable, high quality ML solutions into everyday decision making.

You will guide the evolution of our ML engineering stack, lead high impact initiatives, and mentor engineers while shaping a culture of technical excellence 🌿

Your main responsibilities 🎯

• Guide the technical direction of Bondora’s ML engineering stack by selecting, evaluating, and implementing technologies, tools, and processes that improve scalability and reliability.
• Lead complex, high risk, or cross departmental projects that directly influence Data Science delivery, risk model performance, and production stability.
• Act as the bridge between Data Science, Data Engineering, and Development to identify and solve systemic technical challenges.
• Design and build advanced, production grade ML infrastructure and set the engineering standard for the team.
• Ensure all ML solutions are secure, observable, resilient, and scalable, following governance, compliance, and operational best practices.
• Mentor ML Engineers through code reviews, design sessions, and hands on technical leadership.
• Identify weaknesses or inefficiencies in model or data infrastructure and drive company wide improvements.
• Represent the ML Engineering team in technical discussions and communicate architectural decisions clearly to stakeholders.

What would ensure success in this role?💪

• Strong Python engineering background and experience with MLflow, Unity Catalog, Databricks, or equivalent platforms used for model lifecycle management.
• Proven experience designing ML infrastructure, including CI/CD, containerization with Docker or Kubernetes, and orchestration with Airflow or Prefect.
• Deep understanding of monitoring and observability frameworks such as Prometheus, Grafana, or Datadog, and a track record of improving pipeline reliability.
• Expertise in model governance, versioning, auditability, and operationalization from research to production.
• Solid knowledge of cloud infrastructure on AWS, GCP, or Azure, including cost effectiveness and security best practices.
• Experience leading cross functional initiatives and mentoring engineers.
• Ability to balance innovation and stability through structured experimentation, pilot phases, and safe adoption of new technologies.

What can you expect at Bondora? 

• Contribute to Bondora’s ambitious goal of reaching 1BN in revenue. Your skills and efforts will directly impact our growth trajectory and shape the future of our company.
• Our employees deserve the best. We recognize our people with a competitive salary and a generous benefits package (5 weeks of vacation, private healthcare compensation, hobby grant, mental healthcare support, share options and much more!)
• We provide an environment that encourages your personal and professional growth. As we constantly evolve and innovate, you’ll have endless opportunities (and budget) to expand your skills and skyrocket your career.

The next steps

If you have the guts, ideas, and a team vision, apply now! 

Our hiring process: 

1️⃣ Meet Kerli H., our recruiter, for an initial conversation about your background and ambitions.
2️⃣ Complete our personality and logic assessments via Alva Labs.
3️⃣ Meet Rafael, our Head of Data Science.
4️⃣ Complete case study.
5️⃣ Chat with Juris, our Chief Credit Officer.
6️⃣ If everything aligns, welcome to Bondora 🎉