Unitary
City, London
The company We are a rapidly growing startup developing solutions that utilise Virtual Agents to handle manual customer and marketplace operations tasks. Virtual agents blend deterministic Python code, LLM reasoning and agentic AI capabilities to undertake this work, along with a fallback to human experts. Our unique approach combines the strengths of human expertise (high accuracy and nuanced decision-making) with the advantages of AI automation (speed and cost efficiency). This cutting-edge technology helps businesses solve real-world challenges in trust & safety, and beyond, without the need for complex technical integration. We believe in an online world free from harm, where we can trust AI to make safe and fair decisions. We have raised about $25M in VC funding from top-tier funds, including Creandum and Plural, and operate at significant scale - analysing millions of daily images and videos from 10+ Enterprise customers. But we are just at the beginning of our journey - and we are very excited about our plans for growth over the coming year and beyond! The role We are now looking for a Machine Learning Engineer to build and deliver innovative AI products to our customers. Your software expertise and machine learning knowledge will help transform our customers' manual processes into AI automated solutions. Your mission will be to ensure our customers receive the most effective AI solutions for their specific needs, either by delivering solutions to them or creating capabilities that support these activities. You will apply your technical and analytical skills to understand customer challenges and collaborate with them to leverage our AI in the automation of their work. Initially, you will provide hands on support for our machine learning models as they come to market but then will gradually develop self service tools that empower customers to achieve value independently. As part of this role, you will do some or all of: Collaborate with customers to thoroughly understand their workflows, then design and build Virtual Agents that automate their processes. Contribute to the development of our Virtual Agent development platform that scales with our product strategy. Ensure our AI services maintain high standards of reliability, observability, availability, and performance. Participate in our machine learning community to influence how we implement machine learning and computer vision technologies, shaping Unitary's future. Take ownership of customer outcomes with the autonomy to make decisions that surprise and delight our customers. Contribute full stack development including software engineering, DevOps, and MLOps, along with light task and project management to ensure your AI solutions deliver maximum value. You We are looking for someone who is as excited about Unitary's mission as we are, who wants to have a large impact at an early stage startup, and be a key part of defining Unitary's future as one of our early employees. We need versatile people who are happy to get stuck into whatever needs doing, and are ready to learn and grow with the company. For this particular role, we need a proactive Machine Learning Engineer who is comfortable engaging with customers and technical internal stakeholders and exploring and presenting new ideas. Strong communication skills are essential, as you'll lead technical deliveries and bring others along on the journey. You embrace a product mindset in everything you do and should demonstrate a genuine curiosity for solving current and future customer challenges. We would love to hear from you if you: Have strong Python and Machine Learning Engineering skills, with experience using and applying AI to solve customer problems Can (or want to learn to) develop agentic AI systems that can automate human processes Have an understanding of (or want to learn) how software is deployed through Kubernetes, and with the capability to deploy some infrastructure elements independently Can demonstrate problem solving and project management skills in order to analyse workflows and design automated solutions Thrive in a collaborative environment where group output and team achievements weigh heavier than individual input Can travel to our company wide offsites three times per year It would be even better, but not essential, if you have: Experience working in a fully remote, international team Previous startup experience A background in building and operating agentic AI systems Experience with MLOps practices and tools, and monitoring machine learning systems in production Knowledge of CI/CD practices and tools such as GitLab CI, Argo CD Proficiency with SQL and NoSQL databases Worked with Kubernetes and infrastructure as code (IaC) tools such as Terraform Experience with Large Language Models (LLMs) and a keen interest in staying current with the latest AI technology advancements This role will report to the VP of Engineering and can be placed anywhere within 3 hours of the UK time zone. The team Unitary is a remote first team of c. 20 people spread across Europe and North America who are fiercely passionate about making the internet a safer place, and deeply motivated to become a force for good. We have an ambition to create a company filled with happy, kind and collaborative people who achieve extraordinary things together. Our culture is built around the power of trust, transparency and self leadership. Working at Unitary We are committed to creating a positive and inclusive culture built on genuine interest for each other's well being. We offer progressive and market leading benefits, including: Flexible hours and location Competitive salary and equity package Occupational pension Generous paid parental leave Generous paid sick leave Annual budget for your professional development and growth Annual budget for your individual health and wellness Three team off sites to London or other exciting destinations in Europe
The company We are a rapidly growing startup developing solutions that utilise Virtual Agents to handle manual customer and marketplace operations tasks. Virtual agents blend deterministic Python code, LLM reasoning and agentic AI capabilities to undertake this work, along with a fallback to human experts. Our unique approach combines the strengths of human expertise (high accuracy and nuanced decision-making) with the advantages of AI automation (speed and cost efficiency). This cutting-edge technology helps businesses solve real-world challenges in trust & safety, and beyond, without the need for complex technical integration. We believe in an online world free from harm, where we can trust AI to make safe and fair decisions. We have raised about $25M in VC funding from top-tier funds, including Creandum and Plural, and operate at significant scale - analysing millions of daily images and videos from 10+ Enterprise customers. But we are just at the beginning of our journey - and we are very excited about our plans for growth over the coming year and beyond! The role We are now looking for a Machine Learning Engineer to build and deliver innovative AI products to our customers. Your software expertise and machine learning knowledge will help transform our customers' manual processes into AI automated solutions. Your mission will be to ensure our customers receive the most effective AI solutions for their specific needs, either by delivering solutions to them or creating capabilities that support these activities. You will apply your technical and analytical skills to understand customer challenges and collaborate with them to leverage our AI in the automation of their work. Initially, you will provide hands on support for our machine learning models as they come to market but then will gradually develop self service tools that empower customers to achieve value independently. As part of this role, you will do some or all of: Collaborate with customers to thoroughly understand their workflows, then design and build Virtual Agents that automate their processes. Contribute to the development of our Virtual Agent development platform that scales with our product strategy. Ensure our AI services maintain high standards of reliability, observability, availability, and performance. Participate in our machine learning community to influence how we implement machine learning and computer vision technologies, shaping Unitary's future. Take ownership of customer outcomes with the autonomy to make decisions that surprise and delight our customers. Contribute full stack development including software engineering, DevOps, and MLOps, along with light task and project management to ensure your AI solutions deliver maximum value. You We are looking for someone who is as excited about Unitary's mission as we are, who wants to have a large impact at an early stage startup, and be a key part of defining Unitary's future as one of our early employees. We need versatile people who are happy to get stuck into whatever needs doing, and are ready to learn and grow with the company. For this particular role, we need a proactive Machine Learning Engineer who is comfortable engaging with customers and technical internal stakeholders and exploring and presenting new ideas. Strong communication skills are essential, as you'll lead technical deliveries and bring others along on the journey. You embrace a product mindset in everything you do and should demonstrate a genuine curiosity for solving current and future customer challenges. We would love to hear from you if you: Have strong Python and Machine Learning Engineering skills, with experience using and applying AI to solve customer problems Can (or want to learn to) develop agentic AI systems that can automate human processes Have an understanding of (or want to learn) how software is deployed through Kubernetes, and with the capability to deploy some infrastructure elements independently Can demonstrate problem solving and project management skills in order to analyse workflows and design automated solutions Thrive in a collaborative environment where group output and team achievements weigh heavier than individual input Can travel to our company wide offsites three times per year It would be even better, but not essential, if you have: Experience working in a fully remote, international team Previous startup experience A background in building and operating agentic AI systems Experience with MLOps practices and tools, and monitoring machine learning systems in production Knowledge of CI/CD practices and tools such as GitLab CI, Argo CD Proficiency with SQL and NoSQL databases Worked with Kubernetes and infrastructure as code (IaC) tools such as Terraform Experience with Large Language Models (LLMs) and a keen interest in staying current with the latest AI technology advancements This role will report to the VP of Engineering and can be placed anywhere within 3 hours of the UK time zone. The team Unitary is a remote first team of c. 20 people spread across Europe and North America who are fiercely passionate about making the internet a safer place, and deeply motivated to become a force for good. We have an ambition to create a company filled with happy, kind and collaborative people who achieve extraordinary things together. Our culture is built around the power of trust, transparency and self leadership. Working at Unitary We are committed to creating a positive and inclusive culture built on genuine interest for each other's well being. We offer progressive and market leading benefits, including: Flexible hours and location Competitive salary and equity package Occupational pension Generous paid parental leave Generous paid sick leave Annual budget for your professional development and growth Annual budget for your individual health and wellness Three team off sites to London or other exciting destinations in Europe
Zilch
Zilch is a payment tech company on a mission to create the most empowering way to pay for anything, anywhere. Combining the best of debit, credit and savings, we give our customers the option to earn instant cashback or spread the cost of pricier purchases, completely interest free and with no late fees. Pretty great, right? We started in 2018 with a small team and a big dream - to make credit accessible to all. Since then, we've achieved double unicorn status and taken on more than 5 million customers. There are some exciting projects coming up and we've got big growth plans. Want to join us? About the role. We are looking for an exceptional Data Science Manager to lead and grow our data science capability, driving the development, deployment, and optimisation of machine-learning solutions that support Zilch's mission to deliver responsible, real-time and seamless credit experiences. This is a leadership role that involves line management of experienced data scientists, while staying hands on technically. We are looking for someone who can drive production grade predictive insights across our payments ecosystem and ensure the team delivers measurable business impact. In this role, you will lead a team of data scientists and work closely with product, engineering, risk, operations, and commercial teams to build impactful models that power personalisation, customer engagement, fraud detection, credit decisioning, and growth initiatives. You will ensure our modelling efforts are production ready, robust, ethically sound, and aligned with strategic objectives. This is a hands on leadership role: you will mentor the team, contribute to technical direction, and help ensure successful model deployment and monitoring in a fast moving fintech environment. Role Responsibilities. Lead a high performing Data Science team that ships and owns predictive models in production, focused on payments products, fraud detection, risk modelling, customer analytics, and product optimisation. Work with Product, Risk, Engineering, Operations, and commercial stakeholders to translate business goals into modelling strategies that improve customer outcomes. Coach Data Scientists to become more effective and take on new responsibilities, fostering career growth and technical excellence. Ensure Data Science work aligns with company objectives via a visible, prioritised model backlog with problem statements, baselines and clear business owners. Maintain delivery pace while balancing technical debt, business priorities, and innovation. Implement robust value measurement of key business outcomes to guide product strategy and investment decisions. Oversee version control, CI/CD integration, and automated model lifecycle management. Promote a data driven approach to product development, operational decisions, and customer experience improvements. Continuously improve tools, processes, and ways of working with code review standards, experiment tracking, model cards/docs, and reproducible pipelines for the data team and cross functional stakeholders. Work with Product, Risk, Engineering, Operations, and commercial stakeholders to define high impact modelling priorities, and partner with engineering to deliver and operate production grade ML systems across model serving, feature pipelines, monitoring, drift detection, experimentation, retraining, and A/B or champion challenger tests. Drive improvements to our MLOps approaches to embed production SLOs/SLIs, monitoring and drift, retraining and roll back, and post launch value verification. What we're looking for. Manages through clear objectives and context rather than task based instructions. Strong track record of delivering measurable value in previous roles. Significant experience as an individual contributor data scientist shipping models to production, writing high quality code, and partnering with engineers on serving & monitoring. Able to hold technical conversations at parity with engineers and data scientists. Knowledgeable about AI/ML safety, bias detection, and privacy considerations (PII handling and compliance). Comfortable delivering small, testable increments to production fast, then iterating based on measured outcomes. Champions simplicity and high code quality. Strong knowledge of experimental design, A/B testing, and causal inference. Keeps technical skills sharp while leading a team. Skilled at "telescoping", seeing the big picture, then diving into critical areas of focus. Quickly identifies the root cause when problem solving. Thrives in a fast changing, high growth environment. Embed responsible AI practices through fairness monitoring, transparent model documentation, and alignment with FCA expectations for explainability and data usage. Shape and maintain the modelling roadmap, ensuring prioritisation aligns with product, risk, and commercial outcomes. Technical Skills. Proven strong MLOps practice, including CI/CD, cloud native model training and deployment, model serving, and effective data lifecycle management. Expert proficiency in Python, SQL, and core ML libraries (e.g., Pandas, NumPy, Scikit Learn, XGBoost). Strong experience working with cloud based ML platforms (AWS preferred, e.g., SageMaker). Familiarity with model management and deployment tooling such as Git, MLflow, or CI/CD frameworks. Ways of Working. Clear and concise communicator, able to translate technical concepts for senior leadership and non technical audiences. Outcome oriented, comfortable working in a fast paced and evolving fintech environment. Passionate about scalable solutions, high quality modelling, and responsible AI principles. Leads through empowerment and clarity, while setting a high bar for technical and delivery excellence. Experience with modern data stack tools (DBT, Snowflake, Looker). Exposure to deep learning, LLMs, or advanced ML techniques relevant to fintech. Experience developing near real time scoring pipelines or streaming based ML systems. Interest in emerging technologies (LLMs, reinforcement learning, real time ML, vector search, etc.) and their application in fintech. Benefits. Compensation & Savings: Income Protection. Permanent employees enjoy access to our Share Options Scheme. 5% back on in app purchases. £200 for WFH Setup. Private Medical Insurance including; GP consultations (video, telephone or face to face). Prescribed medication. In patient, day patient and out patient care. Mental health support. Physiotherapy. Advanced cancer cover. Employee Assistance Programme including: Unlimited mental health sessions. 24/7 remote GP & physiotherapy. 24/7 helpline for emotional & practical support. Savings & discounts on everyday shopping. 1:1 personalised well being consultations. Family Friendly Policies: Enhanced maternity pay. Enhanced paternity pay. Enhanced adoption pay. Enhanced shared parental leave. Learning & Development: Professional Qualifications. Professional Memberships. Learning Suite for e courses. Internal Training Programmes. FCA & Regulatory training. Hybrid Working. Casual dress code. Workplace socials. To apply for this role, please submit your CV along with a cover letter. We acknowledge receipt of your resume for a position at Zilch and we appreciate your interest in joining our business. We will screen all applicants and select candidates whose qualifications meet our requirements. We will carefully consider your application during the initial screening and will contact you if you are selected to continue to the next stage of the recruitment process. We wish you every success. Zilch Technology is an equal opportunities employer and we encourage all applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, religion or belief. Apply for this Job By submitting this application I agree that I have read the Privacy Policy and confirm that Zilch can store my personal details in order to process my job application. Yes, Zilch can contact me directly about specific future job opportunities.
Zilch is a payment tech company on a mission to create the most empowering way to pay for anything, anywhere. Combining the best of debit, credit and savings, we give our customers the option to earn instant cashback or spread the cost of pricier purchases, completely interest free and with no late fees. Pretty great, right? We started in 2018 with a small team and a big dream - to make credit accessible to all. Since then, we've achieved double unicorn status and taken on more than 5 million customers. There are some exciting projects coming up and we've got big growth plans. Want to join us? About the role. We are looking for an exceptional Data Science Manager to lead and grow our data science capability, driving the development, deployment, and optimisation of machine-learning solutions that support Zilch's mission to deliver responsible, real-time and seamless credit experiences. This is a leadership role that involves line management of experienced data scientists, while staying hands on technically. We are looking for someone who can drive production grade predictive insights across our payments ecosystem and ensure the team delivers measurable business impact. In this role, you will lead a team of data scientists and work closely with product, engineering, risk, operations, and commercial teams to build impactful models that power personalisation, customer engagement, fraud detection, credit decisioning, and growth initiatives. You will ensure our modelling efforts are production ready, robust, ethically sound, and aligned with strategic objectives. This is a hands on leadership role: you will mentor the team, contribute to technical direction, and help ensure successful model deployment and monitoring in a fast moving fintech environment. Role Responsibilities. Lead a high performing Data Science team that ships and owns predictive models in production, focused on payments products, fraud detection, risk modelling, customer analytics, and product optimisation. Work with Product, Risk, Engineering, Operations, and commercial stakeholders to translate business goals into modelling strategies that improve customer outcomes. Coach Data Scientists to become more effective and take on new responsibilities, fostering career growth and technical excellence. Ensure Data Science work aligns with company objectives via a visible, prioritised model backlog with problem statements, baselines and clear business owners. Maintain delivery pace while balancing technical debt, business priorities, and innovation. Implement robust value measurement of key business outcomes to guide product strategy and investment decisions. Oversee version control, CI/CD integration, and automated model lifecycle management. Promote a data driven approach to product development, operational decisions, and customer experience improvements. Continuously improve tools, processes, and ways of working with code review standards, experiment tracking, model cards/docs, and reproducible pipelines for the data team and cross functional stakeholders. Work with Product, Risk, Engineering, Operations, and commercial stakeholders to define high impact modelling priorities, and partner with engineering to deliver and operate production grade ML systems across model serving, feature pipelines, monitoring, drift detection, experimentation, retraining, and A/B or champion challenger tests. Drive improvements to our MLOps approaches to embed production SLOs/SLIs, monitoring and drift, retraining and roll back, and post launch value verification. What we're looking for. Manages through clear objectives and context rather than task based instructions. Strong track record of delivering measurable value in previous roles. Significant experience as an individual contributor data scientist shipping models to production, writing high quality code, and partnering with engineers on serving & monitoring. Able to hold technical conversations at parity with engineers and data scientists. Knowledgeable about AI/ML safety, bias detection, and privacy considerations (PII handling and compliance). Comfortable delivering small, testable increments to production fast, then iterating based on measured outcomes. Champions simplicity and high code quality. Strong knowledge of experimental design, A/B testing, and causal inference. Keeps technical skills sharp while leading a team. Skilled at "telescoping", seeing the big picture, then diving into critical areas of focus. Quickly identifies the root cause when problem solving. Thrives in a fast changing, high growth environment. Embed responsible AI practices through fairness monitoring, transparent model documentation, and alignment with FCA expectations for explainability and data usage. Shape and maintain the modelling roadmap, ensuring prioritisation aligns with product, risk, and commercial outcomes. Technical Skills. Proven strong MLOps practice, including CI/CD, cloud native model training and deployment, model serving, and effective data lifecycle management. Expert proficiency in Python, SQL, and core ML libraries (e.g., Pandas, NumPy, Scikit Learn, XGBoost). Strong experience working with cloud based ML platforms (AWS preferred, e.g., SageMaker). Familiarity with model management and deployment tooling such as Git, MLflow, or CI/CD frameworks. Ways of Working. Clear and concise communicator, able to translate technical concepts for senior leadership and non technical audiences. Outcome oriented, comfortable working in a fast paced and evolving fintech environment. Passionate about scalable solutions, high quality modelling, and responsible AI principles. Leads through empowerment and clarity, while setting a high bar for technical and delivery excellence. Experience with modern data stack tools (DBT, Snowflake, Looker). Exposure to deep learning, LLMs, or advanced ML techniques relevant to fintech. Experience developing near real time scoring pipelines or streaming based ML systems. Interest in emerging technologies (LLMs, reinforcement learning, real time ML, vector search, etc.) and their application in fintech. Benefits. Compensation & Savings: Income Protection. Permanent employees enjoy access to our Share Options Scheme. 5% back on in app purchases. £200 for WFH Setup. Private Medical Insurance including; GP consultations (video, telephone or face to face). Prescribed medication. In patient, day patient and out patient care. Mental health support. Physiotherapy. Advanced cancer cover. Employee Assistance Programme including: Unlimited mental health sessions. 24/7 remote GP & physiotherapy. 24/7 helpline for emotional & practical support. Savings & discounts on everyday shopping. 1:1 personalised well being consultations. Family Friendly Policies: Enhanced maternity pay. Enhanced paternity pay. Enhanced adoption pay. Enhanced shared parental leave. Learning & Development: Professional Qualifications. Professional Memberships. Learning Suite for e courses. Internal Training Programmes. FCA & Regulatory training. Hybrid Working. Casual dress code. Workplace socials. To apply for this role, please submit your CV along with a cover letter. We acknowledge receipt of your resume for a position at Zilch and we appreciate your interest in joining our business. We will screen all applicants and select candidates whose qualifications meet our requirements. We will carefully consider your application during the initial screening and will contact you if you are selected to continue to the next stage of the recruitment process. We wish you every success. Zilch Technology is an equal opportunities employer and we encourage all applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, religion or belief. Apply for this Job By submitting this application I agree that I have read the Privacy Policy and confirm that Zilch can store my personal details in order to process my job application. Yes, Zilch can contact me directly about specific future job opportunities.
