RecOps is partnered with a leading consultancy to support an AI/Machine Learning project for one of their end clients in the insurance sector. This role is £575 per day, inside IR35, and requires 1 day per week onsite in Central London. Key Skills required: Strong experience as a Lead Machine Learning Engineer, Lead ML Engineer or Senior MLE with technical leadership experience. Excellent hands-on Python engineering skills, with strong fundamentals across OOP, async/concurrency, decorators, design patterns and production coding standards. Comfortable building and debugging Python systems without heavy reliance on AI tooling, frameworks or Internet-based support. Experience designing and building clean, well-tested, production-quality AI/ML systems from scratch. Strong experience with testing, validation, TDD and Python unit testing, ideally using pytest. Experience leading the deployment and life cycle management of ML/AI models in secure or restricted production environments. Strong GenAI/LLM experience, including RAG pipelines, embeddings, vector databases, agentic workflows and model evaluation. Ability to compare models and approaches, explain trade-offs, and choose the right model/architecture for the use case. Understanding of LLM application risks, including hallucination detection, output validation, prompt injection and jailbreak mitigation. Experience building automated ML pipelines across training, testing, deployment, monitoring and rollback. Strong understanding of MLOps, CI/CD, model versioning, experiment tracking and production observability. Good cloud, Docker and/or Kubernetes experience. Ability to lead technical direction while remaining hands-on with code, working closely with data scientists, software engineers, DevOps teams and stakeholders. If the above sounds like you, please apply now for immediate consideration.
19/05/2026
Contractor
RecOps is partnered with a leading consultancy to support an AI/Machine Learning project for one of their end clients in the insurance sector. This role is £575 per day, inside IR35, and requires 1 day per week onsite in Central London. Key Skills required: Strong experience as a Lead Machine Learning Engineer, Lead ML Engineer or Senior MLE with technical leadership experience. Excellent hands-on Python engineering skills, with strong fundamentals across OOP, async/concurrency, decorators, design patterns and production coding standards. Comfortable building and debugging Python systems without heavy reliance on AI tooling, frameworks or Internet-based support. Experience designing and building clean, well-tested, production-quality AI/ML systems from scratch. Strong experience with testing, validation, TDD and Python unit testing, ideally using pytest. Experience leading the deployment and life cycle management of ML/AI models in secure or restricted production environments. Strong GenAI/LLM experience, including RAG pipelines, embeddings, vector databases, agentic workflows and model evaluation. Ability to compare models and approaches, explain trade-offs, and choose the right model/architecture for the use case. Understanding of LLM application risks, including hallucination detection, output validation, prompt injection and jailbreak mitigation. Experience building automated ML pipelines across training, testing, deployment, monitoring and rollback. Strong understanding of MLOps, CI/CD, model versioning, experiment tracking and production observability. Good cloud, Docker and/or Kubernetes experience. Ability to lead technical direction while remaining hands-on with code, working closely with data scientists, software engineers, DevOps teams and stakeholders. If the above sounds like you, please apply now for immediate consideration.
Salary£45k - £60k (pro rata if less than 35hrs per week) Location London (Hybrid Working) with London office presence needed 40% of your working week This is a Permanent, Full Time vacancy that will close in x days at xx:xx BST. The Vacancy 28-35hrs per week- open to discuss flexible working of these hours The ASA is the UK s regulator of advertising across all media, including online. Our work includes taking proactive action against misleading, harmful, offensive or otherwise irresponsible ads and acting on complaints. In short, we make sure ads are legal, decent, honest and truthful. In this role you will join our Data Science team and work on our world-leading Active Ad Monitoring system, which uses AI to proactively monitor online advertising. In 2025 the system captured and processed 60 million ads across social media, search and programmatic display. The ASA uses this intelligence to help regulate ads across high-priority topics like injectable weight-loss medications, green claims companies make to consumers, disclosure of influencer marketing and many more. You will be analysing the large volumes of ads the Active Ad Monitoring system captures, providing intelligence that helps teams across the ASA tackle real-world issues in online advertising. You will work primarily in Python, making extensive use of AI models to extract meaning from text, images and videos, and turning unstructured data into actionable intelligence. You will also have a role in helping understand how AI can help accelerate processes across the ASA. Our team mission is to protect UK consumers from adverts that are misleading, cause harm and target those within our society that are the most vulnerable. Working as part of our small agile team you will have the opportunity to own your work end-to-end, seeing directly how the work you do helps protect UK consumers. About you You will have a genuine enthusiasm for using Data Science and AI to improve ad regulation in the UK You will have either previously been a Data Scientist, or have similar professional experience, for example in data-intensive academic research or as an analyst with Python experience You will have the ability to write high-quality Python code to manipulate complex datasets You will be able to communicate clearly with non-technical coworkers, understanding the challenges they face regulating online advertising, and coming up with ways to use the technical tools at your disposal to help solve them You will have experience with Large Language Models (LLMs) either professionally or through personal exploration You ll be impact focused- understanding the problems the ASA faces and prioritising technical solutions that will deliver real impact. You will need to be curious and ambitious, creatively solving problems that may arise whilst always having an eye on system/process improvements. We are committed to building a workforce that reflects the full diversity of the UK population. We believe that varied perspectives and experiences strengthen our organisation and help us deliver our work more effectively. We welcome applications from people of all backgrounds and identities, and we actively encourage candidates from minority or underrepresented groups to apply. Women are currently under-represented within data science roles, and within our Data Science team. In line with our commitment to equality, diversity and inclusion, we particularly encourage applications from women and others who are under-represented in this area. Our recruitment process ensures applications are absent of names or any identifiable information which supports our aim of finding the best person for the role based on their skills and experience only. How to apply: If you re interested in applying for this role, please review the job description below and complete our online application process which includes answering some questions regarding your motivation for applying for this role and your skills and experience. Should you require any adjustments to our application process please contact Closing date: 17th May 2026. Please note we will be reviewing applications as they come in and we reserve the right to close the advert early if we receive a significantly high number of applicants. First Interview dates: 20th, 21st and 22nd May Second interview date: W/C 1st June 2026 The Company We are the UK s independent frontline regulator of ads by legitimate businesses and other organisations in all media, including online. We are authoritative and influential on ad regulation; the centre of expertise. The rules we administer and enforce are contained in the UK Advertising Codes, written by the industry Committees of Advertising Practice (CAP). To help maintain our independence from the industry that funds us, we are primarily funded at arm s length by the Advertising Standards Boards of Finance (Asbof). Together, the ASA, CAP and Asbof make up the ASA system. Our purpose is to make sure ads are responsible. Our ambition is to make sure every UK ad is a responsible ad. Our values are to be proactive, collaborative, accountable, transparent and decisive. We want external stakeholders to find us to be: independent in administering the Codes; evidence-based, proportionate, targeted and consistent; and reflective of society, not a social engineer. We are passionate about what we do because responsible ads are good for people, good for society and good for business. They entertain and inform us, helping us to choose products and services. They fund the media, sport and culture we all enjoy. They can be a force for social good, encouraging us to contribute to good causes, make more responsible choices and stay safe. And they help deliver competition and power the economy. By making sure ads are responsible, we protect people from being misled, harmed or offended, helping them feel more confident in the ads they see and hear.
19/05/2026
Full time
Salary£45k - £60k (pro rata if less than 35hrs per week) Location London (Hybrid Working) with London office presence needed 40% of your working week This is a Permanent, Full Time vacancy that will close in x days at xx:xx BST. The Vacancy 28-35hrs per week- open to discuss flexible working of these hours The ASA is the UK s regulator of advertising across all media, including online. Our work includes taking proactive action against misleading, harmful, offensive or otherwise irresponsible ads and acting on complaints. In short, we make sure ads are legal, decent, honest and truthful. In this role you will join our Data Science team and work on our world-leading Active Ad Monitoring system, which uses AI to proactively monitor online advertising. In 2025 the system captured and processed 60 million ads across social media, search and programmatic display. The ASA uses this intelligence to help regulate ads across high-priority topics like injectable weight-loss medications, green claims companies make to consumers, disclosure of influencer marketing and many more. You will be analysing the large volumes of ads the Active Ad Monitoring system captures, providing intelligence that helps teams across the ASA tackle real-world issues in online advertising. You will work primarily in Python, making extensive use of AI models to extract meaning from text, images and videos, and turning unstructured data into actionable intelligence. You will also have a role in helping understand how AI can help accelerate processes across the ASA. Our team mission is to protect UK consumers from adverts that are misleading, cause harm and target those within our society that are the most vulnerable. Working as part of our small agile team you will have the opportunity to own your work end-to-end, seeing directly how the work you do helps protect UK consumers. About you You will have a genuine enthusiasm for using Data Science and AI to improve ad regulation in the UK You will have either previously been a Data Scientist, or have similar professional experience, for example in data-intensive academic research or as an analyst with Python experience You will have the ability to write high-quality Python code to manipulate complex datasets You will be able to communicate clearly with non-technical coworkers, understanding the challenges they face regulating online advertising, and coming up with ways to use the technical tools at your disposal to help solve them You will have experience with Large Language Models (LLMs) either professionally or through personal exploration You ll be impact focused- understanding the problems the ASA faces and prioritising technical solutions that will deliver real impact. You will need to be curious and ambitious, creatively solving problems that may arise whilst always having an eye on system/process improvements. We are committed to building a workforce that reflects the full diversity of the UK population. We believe that varied perspectives and experiences strengthen our organisation and help us deliver our work more effectively. We welcome applications from people of all backgrounds and identities, and we actively encourage candidates from minority or underrepresented groups to apply. Women are currently under-represented within data science roles, and within our Data Science team. In line with our commitment to equality, diversity and inclusion, we particularly encourage applications from women and others who are under-represented in this area. Our recruitment process ensures applications are absent of names or any identifiable information which supports our aim of finding the best person for the role based on their skills and experience only. How to apply: If you re interested in applying for this role, please review the job description below and complete our online application process which includes answering some questions regarding your motivation for applying for this role and your skills and experience. Should you require any adjustments to our application process please contact Closing date: 17th May 2026. Please note we will be reviewing applications as they come in and we reserve the right to close the advert early if we receive a significantly high number of applicants. First Interview dates: 20th, 21st and 22nd May Second interview date: W/C 1st June 2026 The Company We are the UK s independent frontline regulator of ads by legitimate businesses and other organisations in all media, including online. We are authoritative and influential on ad regulation; the centre of expertise. The rules we administer and enforce are contained in the UK Advertising Codes, written by the industry Committees of Advertising Practice (CAP). To help maintain our independence from the industry that funds us, we are primarily funded at arm s length by the Advertising Standards Boards of Finance (Asbof). Together, the ASA, CAP and Asbof make up the ASA system. Our purpose is to make sure ads are responsible. Our ambition is to make sure every UK ad is a responsible ad. Our values are to be proactive, collaborative, accountable, transparent and decisive. We want external stakeholders to find us to be: independent in administering the Codes; evidence-based, proportionate, targeted and consistent; and reflective of society, not a social engineer. We are passionate about what we do because responsible ads are good for people, good for society and good for business. They entertain and inform us, helping us to choose products and services. They fund the media, sport and culture we all enjoy. They can be a force for social good, encouraging us to contribute to good causes, make more responsible choices and stay safe. And they help deliver competition and power the economy. By making sure ads are responsible, we protect people from being misled, harmed or offended, helping them feel more confident in the ads they see and hear.
Data Scientist Location: London Contract type: Contract Rate / Salary: £600-£850 per day PAYE Clearance: Eligible AI: Complex data. Clear thinking. It's knowing what matters. That makes a real difference. The Opportunity We are looking for a Data Scientist to join our client's established and growing data science profession. This is a hands-on role suited to someone with a solid foundation in data science who wants to apply their skills to real problems, learn through delivery, and grow within a supportive professional community. You will work on meaningful, production-focused data science initiatives rather than abstract experimentation. The role offers exposure to multiple projects, access to experienced colleagues, and the opportunity to build depth and confidence by contributing to work that has tangible impact. This environment is far from ordinary - and we're not looking for ordinary. Working Environment You'll typically work across two projects at a time, often with different technical leads, giving you both variety and continuity. The environment values curiosity, evidence-based thinking, and the confidence to question assumptions constructively. Data scientists work within established delivery frameworks and collaborate closely with engineers, analysts and product-focused teams. Learning happens through doing, supported by an experienced and inclusive data science community. What You'll Be Doing - Contribute to the design, analysis and build of data science solutions addressing real business and operational problems - Apply statistical, mathematical and scientific approaches to explore data, test hypotheses and support decision-making - Write and maintain Python code to support data preparation, analysis and modelling - Work with production data pipelines, contributing to the data engineering tasks needed to support analytics and models - Support responsible data use, including privacy, ethical considerations and appropriate handling throughout the lifecycle - Collaborate with more senior data scientists, learning through shared delivery - Communicate findings clearly to both technical and non-technical audiences - Contribute to shared documentation, standards and continuous improvement across the profession Your Experience To be successful in this role, you will bring: - Around 2-3 years' experience working as a Data Scientist or in a closely related analytical role - Strong Python skills, with experience contributing to shared codebases - Experience working with real-world datasets, including cleaning, validation and exploratory analysis - Understanding of how data science moves from experimentation into practical use - Awareness of ethical considerations and responsible data practices - Willingness to learn, accept feedback and engage constructively with challenge In Return You'll join a supportive, high-quality data science profession where learning is embedded in day-to-day delivery. This is an opportunity to build confidence, expand your technical portfolio and contribute to meaningful work, while being supported to grow in capability and responsibility over time. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties. Guidant Global is acting as an Employment Business in relation to this vacancy.
19/05/2026
Contractor
Data Scientist Location: London Contract type: Contract Rate / Salary: £600-£850 per day PAYE Clearance: Eligible AI: Complex data. Clear thinking. It's knowing what matters. That makes a real difference. The Opportunity We are looking for a Data Scientist to join our client's established and growing data science profession. This is a hands-on role suited to someone with a solid foundation in data science who wants to apply their skills to real problems, learn through delivery, and grow within a supportive professional community. You will work on meaningful, production-focused data science initiatives rather than abstract experimentation. The role offers exposure to multiple projects, access to experienced colleagues, and the opportunity to build depth and confidence by contributing to work that has tangible impact. This environment is far from ordinary - and we're not looking for ordinary. Working Environment You'll typically work across two projects at a time, often with different technical leads, giving you both variety and continuity. The environment values curiosity, evidence-based thinking, and the confidence to question assumptions constructively. Data scientists work within established delivery frameworks and collaborate closely with engineers, analysts and product-focused teams. Learning happens through doing, supported by an experienced and inclusive data science community. What You'll Be Doing - Contribute to the design, analysis and build of data science solutions addressing real business and operational problems - Apply statistical, mathematical and scientific approaches to explore data, test hypotheses and support decision-making - Write and maintain Python code to support data preparation, analysis and modelling - Work with production data pipelines, contributing to the data engineering tasks needed to support analytics and models - Support responsible data use, including privacy, ethical considerations and appropriate handling throughout the lifecycle - Collaborate with more senior data scientists, learning through shared delivery - Communicate findings clearly to both technical and non-technical audiences - Contribute to shared documentation, standards and continuous improvement across the profession Your Experience To be successful in this role, you will bring: - Around 2-3 years' experience working as a Data Scientist or in a closely related analytical role - Strong Python skills, with experience contributing to shared codebases - Experience working with real-world datasets, including cleaning, validation and exploratory analysis - Understanding of how data science moves from experimentation into practical use - Awareness of ethical considerations and responsible data practices - Willingness to learn, accept feedback and engage constructively with challenge In Return You'll join a supportive, high-quality data science profession where learning is embedded in day-to-day delivery. This is an opportunity to build confidence, expand your technical portfolio and contribute to meaningful work, while being supported to grow in capability and responsibility over time. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties. Guidant Global is acting as an Employment Business in relation to this vacancy.
Applied AI Scientist Location: London Contract type: Contract Rate / Salary: £600-£800 Clearance: Eligible AI: Complex data. Clear thinking. It's knowing what matters. That makes a real difference. The Opportunity We are looking for an Applied AI Scientist to join our client's growing Data Science profession. This is a senior, hands-on technical role for someone who enjoys deep technical delivery and influencing through credibility rather than hierarchy. The role focuses on applying modern AI techniques to real-world problems in complex, constrained environments. You will work closely with users, stakeholders and fellow data scientists to translate real operational needs into effective AI solutions that deliver tangible outcomes. You will often be working in settings where model behaviour, system constraints and human use interact in non-obvious ways. This is not AI experimentation for its own sake. It is about building solutions that work in practice. This environment is far from ordinary - and we're not looking for ordinary. Working Environment You will work in a high-trust, delivery-focused environment where technical quality, judgement and real-world impact are valued. The team operates collaboratively, sharing knowledge and learning through delivery rather than theory alone. You will be trusted to manage your own work, engage directly with customers and stakeholders, and take responsibility for outcomes. What You'll Be Doing - Design, build and deploy applied AI and data science solutions that deliver measurable impact - Own projects end-to-end, including problem definition, technical delivery and stakeholder engagement - Work directly with users and customers to understand real-world needs and translate them into well-defined AI problems - Apply modern AI and machine learning techniques using strong Python engineering skills - Build solutions that can operate in secure, constrained or offline environments without reliance on external services - Consider performance, scalability and resilience when deploying AI into operational systems - Influence technical direction through evidence, communication and delivery results - Share knowledge and support learning across the wider data science community Your Experience To be successful in this role, you will bring: - Strong, demonstrable experience as an Applied AI Scientist, Data Scientist or similar hands-on technical role - Excellent Python skills, with the ability to write clean, efficient, production-quality code - Experience developing and deploying AI solutions outside of fully managed cloud services - Solid understanding of modern AI and machine learning techniques - Experience working with imperfect, real-world data and operational constraints - Confidence owning work end-to-end and managing your own delivery - The ability to influence technical decisions without formal authority In Return You'll join an experienced and collaborative team working on meaningful, production-focused AI problems rather than isolated experimentation. This is an opportunity to apply your skills where judgement, pragmatism and technical quality genuinely matter, and to grow your influence through delivery rather than management responsibility. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties. Guidant Global is acting as an Employment Business in relation to this vacancy.
19/05/2026
Contractor
Applied AI Scientist Location: London Contract type: Contract Rate / Salary: £600-£800 Clearance: Eligible AI: Complex data. Clear thinking. It's knowing what matters. That makes a real difference. The Opportunity We are looking for an Applied AI Scientist to join our client's growing Data Science profession. This is a senior, hands-on technical role for someone who enjoys deep technical delivery and influencing through credibility rather than hierarchy. The role focuses on applying modern AI techniques to real-world problems in complex, constrained environments. You will work closely with users, stakeholders and fellow data scientists to translate real operational needs into effective AI solutions that deliver tangible outcomes. You will often be working in settings where model behaviour, system constraints and human use interact in non-obvious ways. This is not AI experimentation for its own sake. It is about building solutions that work in practice. This environment is far from ordinary - and we're not looking for ordinary. Working Environment You will work in a high-trust, delivery-focused environment where technical quality, judgement and real-world impact are valued. The team operates collaboratively, sharing knowledge and learning through delivery rather than theory alone. You will be trusted to manage your own work, engage directly with customers and stakeholders, and take responsibility for outcomes. What You'll Be Doing - Design, build and deploy applied AI and data science solutions that deliver measurable impact - Own projects end-to-end, including problem definition, technical delivery and stakeholder engagement - Work directly with users and customers to understand real-world needs and translate them into well-defined AI problems - Apply modern AI and machine learning techniques using strong Python engineering skills - Build solutions that can operate in secure, constrained or offline environments without reliance on external services - Consider performance, scalability and resilience when deploying AI into operational systems - Influence technical direction through evidence, communication and delivery results - Share knowledge and support learning across the wider data science community Your Experience To be successful in this role, you will bring: - Strong, demonstrable experience as an Applied AI Scientist, Data Scientist or similar hands-on technical role - Excellent Python skills, with the ability to write clean, efficient, production-quality code - Experience developing and deploying AI solutions outside of fully managed cloud services - Solid understanding of modern AI and machine learning techniques - Experience working with imperfect, real-world data and operational constraints - Confidence owning work end-to-end and managing your own delivery - The ability to influence technical decisions without formal authority In Return You'll join an experienced and collaborative team working on meaningful, production-focused AI problems rather than isolated experimentation. This is an opportunity to apply your skills where judgement, pragmatism and technical quality genuinely matter, and to grow your influence through delivery rather than management responsibility. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties. Guidant Global is acting as an Employment Business in relation to this vacancy.
Turning data into decisions the business can act on. Wide exposure across analytics, Machine Learning and systems application. Business-led data science with commercial impact rather than academic research. Remote role with monthly Bristol trips. Working with Python, Microsoft Fabric and SQL to shape projects and support the business. What you'll be doing The Applied Data Scientist role focuses on delivering practical data science and analytics across a large operational environment. You will own projects end to end, from problem definition through to deployment and stakeholder communication. You'll sit close to the business, working on commercially important problems and translating insight into action. This is a strong opportunity for someone who enjoys applied analytics, systems and real-world impact, with a data science application and background!As an Applied Data Scientist, you will analyse data, build models and deliver insight that supports better business decisions. You'll work on various projects that include forecasting, classification, optimisation or performance analysis and more.You will collaborate with engineers to ensure solutions are scalable and reliable, engage regularly with stakeholders, presenting findings clearly and helping teams understand the commercial impact of the work. Sound like you? Apply now! What experience you'll need to apply A Computer Science, Data Science or similar degree (2:1 or above) Ideally a minimum of 3 years of commercial experience in a data science or ML role Strong Python experience in production settings Experience with Microsoft Fabric Experience working with SQL and structured datasets Exposure to ML and LLM driven solutions A clear, business focused communication style Ability to translate data science projects into commercial outcomes and apply to a business context What you'll get in return for your experience A salary of up to £55,000, depending on experience. The role is flexible and remote working, with required travel to the Bristol office once a month and occasional (but less common) London meetings (which would be paid for). You will work on high impact projects with modern tools, clear ownership and visible results. What's next? Apply below and we'll reach out to set up a call if it's a good fit!
19/05/2026
Full time
Turning data into decisions the business can act on. Wide exposure across analytics, Machine Learning and systems application. Business-led data science with commercial impact rather than academic research. Remote role with monthly Bristol trips. Working with Python, Microsoft Fabric and SQL to shape projects and support the business. What you'll be doing The Applied Data Scientist role focuses on delivering practical data science and analytics across a large operational environment. You will own projects end to end, from problem definition through to deployment and stakeholder communication. You'll sit close to the business, working on commercially important problems and translating insight into action. This is a strong opportunity for someone who enjoys applied analytics, systems and real-world impact, with a data science application and background!As an Applied Data Scientist, you will analyse data, build models and deliver insight that supports better business decisions. You'll work on various projects that include forecasting, classification, optimisation or performance analysis and more.You will collaborate with engineers to ensure solutions are scalable and reliable, engage regularly with stakeholders, presenting findings clearly and helping teams understand the commercial impact of the work. Sound like you? Apply now! What experience you'll need to apply A Computer Science, Data Science or similar degree (2:1 or above) Ideally a minimum of 3 years of commercial experience in a data science or ML role Strong Python experience in production settings Experience with Microsoft Fabric Experience working with SQL and structured datasets Exposure to ML and LLM driven solutions A clear, business focused communication style Ability to translate data science projects into commercial outcomes and apply to a business context What you'll get in return for your experience A salary of up to £55,000, depending on experience. The role is flexible and remote working, with required travel to the Bristol office once a month and occasional (but less common) London meetings (which would be paid for). You will work on high impact projects with modern tools, clear ownership and visible results. What's next? Apply below and we'll reach out to set up a call if it's a good fit!
RecOps is partnered with a leading consultancy to support an AI/Machine Learning project for one of their end clients in the insurance sector. This role is £500 per day, inside IR35, and requires 1 day per week onsite in Central London. Key Skills required: Strong commercial experience as a Machine Learning Engineer, ML Engineer, AI Engineer or Python-focused MLE. Excellent hands-on Python engineering skills, with strong fundamentals across OOP, async/concurrency, decorators, design patterns and clean code. Comfortable with Python-heavy technical discussions and building/debugging code without heavy reliance on AI tooling or Internet-based support. Experience building clean, well-tested, production-quality AI/ML systems. Experience designing, building and deploying machine learning or GenAI systems into production. Strong experience with testing, validation and Python unit testing, ideally using pytest. Experience with GenAI/LLMs, including RAG pipelines, embeddings, vector databases and agentic workflows. Ability to evaluate and compare different models or approaches, using relevant metrics and clear technical reasoning. Understanding of LLM application risks, including hallucination detection, output validation, prompt injection and jailbreak mitigation. Experience with MLOps, CI/CD, model monitoring, versioning and life cycle management. Good cloud, Docker and/or Kubernetes experience. Ability to work closely with data scientists, software engineers, DevOps teams and business stakeholders to deliver secure, production-ready AI systems. If the above sounds like you, please apply now for immediate consideration.
19/05/2026
Contractor
RecOps is partnered with a leading consultancy to support an AI/Machine Learning project for one of their end clients in the insurance sector. This role is £500 per day, inside IR35, and requires 1 day per week onsite in Central London. Key Skills required: Strong commercial experience as a Machine Learning Engineer, ML Engineer, AI Engineer or Python-focused MLE. Excellent hands-on Python engineering skills, with strong fundamentals across OOP, async/concurrency, decorators, design patterns and clean code. Comfortable with Python-heavy technical discussions and building/debugging code without heavy reliance on AI tooling or Internet-based support. Experience building clean, well-tested, production-quality AI/ML systems. Experience designing, building and deploying machine learning or GenAI systems into production. Strong experience with testing, validation and Python unit testing, ideally using pytest. Experience with GenAI/LLMs, including RAG pipelines, embeddings, vector databases and agentic workflows. Ability to evaluate and compare different models or approaches, using relevant metrics and clear technical reasoning. Understanding of LLM application risks, including hallucination detection, output validation, prompt injection and jailbreak mitigation. Experience with MLOps, CI/CD, model monitoring, versioning and life cycle management. Good cloud, Docker and/or Kubernetes experience. Ability to work closely with data scientists, software engineers, DevOps teams and business stakeholders to deliver secure, production-ready AI systems. If the above sounds like you, please apply now for immediate consideration.
DELIVEROO is seeking an Analytics Engineer to join their team in Greater London. This role involves creating clean and documented data sets for data scientists and business users, optimizing data products like Looker, and collaborating with product engineering teams. Candidates should have at least 3 years of experience in Analytics Engineering or similar roles and a strong understanding of cloud-based data warehousing. Comprehensive benefits include health, family and financial support.
19/05/2026
Full time
DELIVEROO is seeking an Analytics Engineer to join their team in Greater London. This role involves creating clean and documented data sets for data scientists and business users, optimizing data products like Looker, and collaborating with product engineering teams. Candidates should have at least 3 years of experience in Analytics Engineering or similar roles and a strong understanding of cloud-based data warehousing. Comprehensive benefits include health, family and financial support.
Requirements While some professional experience in the AI/ML space is a requirement, this role is perfectly suited for a senior product or full-stack engineer who is excited to jump fully into the AI/ML product space and build applications on the cutting edge of these new technologies We are looking for a strong Senior Full Stack Engineer with a passion for product and a curiosity for AI Application Development: Proven expertise in building, testing, and deploying modern full-stack web applications. Strong skills in front-end frameworks (e.g. React), application back-ends (e.g., python, serverless/containerised applications, APIs), and database storage Product Ownership: A product-focused mindset with experience in taking applications from concept to production. Comfortable with full lifecycle ownership, including maintenance and on-call responsibilities Cloud and Infrastructure: Experience with cloud platforms and familiarity with infrastructure concepts (e.g. CI/CD, containerisation, serverless) needed to build scalable and reliable applications Collaboration and Communication: Excellent ability to work effectively in a cross-functional team, managing stakeholders and clearly translating complex technical ideas and user feedback into product features Problem-solving and Initiative: Strong analytical and troubleshooting skills. Excited by the ambiguity of a new, experimental team and able to take ownership to drive initiatives forward AI/ML Interest: A strong interest in and hands-on experience with AI/ML technologies, such as LLM-based applications, RAG, or agent frameworks. The role will require learning and developing this area of knowledge Event-Driven Systems (Bonus): Knowledge of event-driven systems (e.g. Kafka) is a plus. Willingness to learn is a requirement Even if your past experience doesn't align perfectly with every requirement, we'd still love to hear from you What the job involves You will be joining our AI and Machine Learning team, which for the past two years has been at the forefront of leveraging AI to transform our business. Our team is composed of talented platform engineers, data scientists and a Product Manager and we are now looking for a Senior AI Engineer to build the applications that our internal and external users will interact with This is a strategic, hands-on role created to embed critical full-stack engineering skills directly within our AI/ML experts. Your mission is to bridge the gap between our AI systems and user-facing applications By adding your expertise, you will help make our team a more self-sufficient unit, capable of moving from concept to production with greater speed and efficiency. You will spearhead the development of flagship GenAI products, across multiple business areas and will own the full product lifecycle, from design and development to production support and maintenance Design, build, and maintain modern, full-stack web applications, including front-end development, serverless or containerised back-ends, APIs, and database storage. Employ technologies specifically suited to GenAI applications (MCP, Knowledge Bases, Agent to Agent communication, Agent Catalogues, LLM output monitoring and evaluation systems etc.) Take ownership of and accelerate the development of flagship GenAI products, like our internal "Customer Profile," to reduce time-to-value and iterate rapidly based on user feedback Collaborate directly with AI/ML engineers, data scientists, product engineers and product managers in a rapid experimentation and prototyping environment Embrace and drive a culture of full lifecycle ownership, taking responsibility for your applications' design, development, ongoing production support, maintenance, and on-call duties Help evolve our cross-functional operating model, establishing robust, repeatable processes and best practices for building end-to-end AI applications Set standards and best practices for the implementation and development of production GenAI applications and share knowledge with the rest of our engineering organisation Mentor junior team members and contribute to building an outcome driven innovation culture within Funding Circle
19/05/2026
Full time
Requirements While some professional experience in the AI/ML space is a requirement, this role is perfectly suited for a senior product or full-stack engineer who is excited to jump fully into the AI/ML product space and build applications on the cutting edge of these new technologies We are looking for a strong Senior Full Stack Engineer with a passion for product and a curiosity for AI Application Development: Proven expertise in building, testing, and deploying modern full-stack web applications. Strong skills in front-end frameworks (e.g. React), application back-ends (e.g., python, serverless/containerised applications, APIs), and database storage Product Ownership: A product-focused mindset with experience in taking applications from concept to production. Comfortable with full lifecycle ownership, including maintenance and on-call responsibilities Cloud and Infrastructure: Experience with cloud platforms and familiarity with infrastructure concepts (e.g. CI/CD, containerisation, serverless) needed to build scalable and reliable applications Collaboration and Communication: Excellent ability to work effectively in a cross-functional team, managing stakeholders and clearly translating complex technical ideas and user feedback into product features Problem-solving and Initiative: Strong analytical and troubleshooting skills. Excited by the ambiguity of a new, experimental team and able to take ownership to drive initiatives forward AI/ML Interest: A strong interest in and hands-on experience with AI/ML technologies, such as LLM-based applications, RAG, or agent frameworks. The role will require learning and developing this area of knowledge Event-Driven Systems (Bonus): Knowledge of event-driven systems (e.g. Kafka) is a plus. Willingness to learn is a requirement Even if your past experience doesn't align perfectly with every requirement, we'd still love to hear from you What the job involves You will be joining our AI and Machine Learning team, which for the past two years has been at the forefront of leveraging AI to transform our business. Our team is composed of talented platform engineers, data scientists and a Product Manager and we are now looking for a Senior AI Engineer to build the applications that our internal and external users will interact with This is a strategic, hands-on role created to embed critical full-stack engineering skills directly within our AI/ML experts. Your mission is to bridge the gap between our AI systems and user-facing applications By adding your expertise, you will help make our team a more self-sufficient unit, capable of moving from concept to production with greater speed and efficiency. You will spearhead the development of flagship GenAI products, across multiple business areas and will own the full product lifecycle, from design and development to production support and maintenance Design, build, and maintain modern, full-stack web applications, including front-end development, serverless or containerised back-ends, APIs, and database storage. Employ technologies specifically suited to GenAI applications (MCP, Knowledge Bases, Agent to Agent communication, Agent Catalogues, LLM output monitoring and evaluation systems etc.) Take ownership of and accelerate the development of flagship GenAI products, like our internal "Customer Profile," to reduce time-to-value and iterate rapidly based on user feedback Collaborate directly with AI/ML engineers, data scientists, product engineers and product managers in a rapid experimentation and prototyping environment Embrace and drive a culture of full lifecycle ownership, taking responsibility for your applications' design, development, ongoing production support, maintenance, and on-call duties Help evolve our cross-functional operating model, establishing robust, repeatable processes and best practices for building end-to-end AI applications Set standards and best practices for the implementation and development of production GenAI applications and share knowledge with the rest of our engineering organisation Mentor junior team members and contribute to building an outcome driven innovation culture within Funding Circle
Full-Stack Developer We're seeking a highly skilled and motivated Full Stack Developer to join a small, high-impact team supporting Intelligence Community operations in the CBRN mission space. This is a unique opportunity to develop innovative, cloud-based tools that enhance operational awareness, data analysis, and decision-making for real-world intelligence challenges. You'll work in a secure Government Cloud environment at RAF Molesworth, collaborating closely with analysts, data scientists, and mission partners to deliver scalable, production ready solutions. If you're passionate about transforming complex data into intuitive, secure applications-and want your work to directly impact national defense-this role is for you. What You'll Do: Design, develop, test, and deploy full stack applications supporting IC and CBRN mission needs Build and maintain analytic tools and data pipelines using Python, SQL, Spark, PySpark, and NiFi Integrate with externally hosted systems using REST API calls Integrate data from multiple classified and open-source systems Ensure data accuracy, integrity, performance, and compliance with security requirements Optimize data processing workflows in distributed computing environments Design and implement intuitive dashboards and web applications using tools such as Kibana, Foundry Workshop, or custom HTML web apps Translate complex analytical outputs into user friendly interfaces for operational stakeholders Partner with analysts, operators, and mission stakeholders to translate operational needs into technical solutions Identify system enhancements and emerging technologies to improve mission effectiveness You Have: 3+ years of experience as a Full Stack Developer, Data Engineer, or Software Developer Experience supporting the Intelligence Community or Department of Defense environments Experience in Python and working with databases Experience with big data frameworks such as Spark, PySpark, or Elastic Search Experience with a data visualization platform such as Kibana, Foundry Workshop, or Palantir Knowledge of secure coding practices and development in classified environments TS/SCI clearance Bachelor's degree in Computer Science, Engineering, or Data Science Nice If You Have: Experience with advanced data integration and large scale analytics platforms Experience supporting CBRN, C WMD, counterproliferation, or related mission areas Experience with CBRN analytical data systems or modeling tools Experience modernizing legacy systems within secure environments Experience implementing containerization and orchestration tools, including Docker or Kubernetes Experience developing standalone web apps utilizing HTML, CSS, or JS Strong analytical and collaboration skills Strong verbal and written communication skills Master's degree in a technical field AWS Certified Developer or Databricks Certified Developer certification Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required. Compensation: At Booz Allen, we celebrate your contributions and provide a comprehensive benefits package that includes health, life, disability, financial, and retirement benefits, paid leave, professional development, tuition assistance, work life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance. The projected compensation range for this position is US$ 99,000.00 to US$ 225,000.00 annualized (USD). The posting will close within 90 days from the posting date. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran, or any other status protected by applicable federal, state, local, or international law.
19/05/2026
Full time
Full-Stack Developer We're seeking a highly skilled and motivated Full Stack Developer to join a small, high-impact team supporting Intelligence Community operations in the CBRN mission space. This is a unique opportunity to develop innovative, cloud-based tools that enhance operational awareness, data analysis, and decision-making for real-world intelligence challenges. You'll work in a secure Government Cloud environment at RAF Molesworth, collaborating closely with analysts, data scientists, and mission partners to deliver scalable, production ready solutions. If you're passionate about transforming complex data into intuitive, secure applications-and want your work to directly impact national defense-this role is for you. What You'll Do: Design, develop, test, and deploy full stack applications supporting IC and CBRN mission needs Build and maintain analytic tools and data pipelines using Python, SQL, Spark, PySpark, and NiFi Integrate with externally hosted systems using REST API calls Integrate data from multiple classified and open-source systems Ensure data accuracy, integrity, performance, and compliance with security requirements Optimize data processing workflows in distributed computing environments Design and implement intuitive dashboards and web applications using tools such as Kibana, Foundry Workshop, or custom HTML web apps Translate complex analytical outputs into user friendly interfaces for operational stakeholders Partner with analysts, operators, and mission stakeholders to translate operational needs into technical solutions Identify system enhancements and emerging technologies to improve mission effectiveness You Have: 3+ years of experience as a Full Stack Developer, Data Engineer, or Software Developer Experience supporting the Intelligence Community or Department of Defense environments Experience in Python and working with databases Experience with big data frameworks such as Spark, PySpark, or Elastic Search Experience with a data visualization platform such as Kibana, Foundry Workshop, or Palantir Knowledge of secure coding practices and development in classified environments TS/SCI clearance Bachelor's degree in Computer Science, Engineering, or Data Science Nice If You Have: Experience with advanced data integration and large scale analytics platforms Experience supporting CBRN, C WMD, counterproliferation, or related mission areas Experience with CBRN analytical data systems or modeling tools Experience modernizing legacy systems within secure environments Experience implementing containerization and orchestration tools, including Docker or Kubernetes Experience developing standalone web apps utilizing HTML, CSS, or JS Strong analytical and collaboration skills Strong verbal and written communication skills Master's degree in a technical field AWS Certified Developer or Databricks Certified Developer certification Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required. Compensation: At Booz Allen, we celebrate your contributions and provide a comprehensive benefits package that includes health, life, disability, financial, and retirement benefits, paid leave, professional development, tuition assistance, work life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance. The projected compensation range for this position is US$ 99,000.00 to US$ 225,000.00 annualized (USD). The posting will close within 90 days from the posting date. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran, or any other status protected by applicable federal, state, local, or international law.
Help shape the future of blockchain intelligence at Elliptic At Elliptic, we're building the intelligence layer for the future of finance. Our teams transform complex blockchain and off chain data into actionable insight, empowering financial institutions, regulators, and businesses to innovate with confidence. Guided by our mission to make digital asset intelligence seamlessly accessible, we design and scale the data streams and services that power Elliptic's analytics and decisioning products. As a Data Engineer, you'll design and optimise systems that process large scale blockchain and off chain datasets, enabling organisations worldwide to make trusted, data driven decisions. Whether you join one of our platform focused teams or those that work directly on product data, you'll tackle challenges spanning batch and streaming processing, building high quality, scalable solutions for a rapidly evolving ecosystem. What you will do Build and maintain distributed data pipelines using Scala, Spark, and cloud technologies Collaborate with engineers, data scientists, and product teams to deliver reliable, scalable data systems Design and optimise data ingestion and transformation workflows across blockchain and traditional datasets Ensure accuracy, scalability, and efficiency in systems processing hundreds of millions of daily data points Evaluate design options and trade offs across performance, scalability, reliability, and cost Contribute to the full lifecycle of data platform development from design and deployment to continuous improvement Strengthen pipeline reliability, observability, and automation through code and tooling improvements Grow your influence and take on greater responsibility as you deepen your understanding of our distributed systems and platform architecture Tech environment Scala Spark Databricks AWS Airflow Kubernetes Terraform Functional Programming No Scala experience yet? If you are an experienced data engineer eager to learn, we will support you. You will fit right in if you Enjoy writing clean, well tested, and efficient code Use data and experimentation to make informed decisions Thrive in a collaborative, open culture where sharing and feedback are part of daily work Are curious about new technologies, including how AI and automation can enhance data engineering Appreciate an environment that values autonomy, mentoring, and personal development Want to take advantage of AI driven productivity tools as part of your day to day engineering What we are looking for We welcome engineers at different stages of their careers and will match your level to your experience so you can keep growing and make an impact. Experience delivering and maintaining distributed data pipelines Practical knowledge of Spark, Databricks, or similar big data frameworks Familiarity with cloud infrastructure (AWS, Azure, or GCP) Understanding of data-architecture trade offs, such as scalability, resilience, and observability Interest or experience in functional programming Bonus points for: Experience in streaming processing concepts like delivery semantics, ordering or partitioning Hands on work with Infrastructure as Code (Terraform or CloudFormation) Knowledge of container orchestration (Docker, Kubernetes, Helm) An interest in blockchain and cryptocurrency technology, or a desire to learn Experience applying AI or automation within deployed services Don't tick all the boxes? We're still interested to hear from you if you think you'd be a good fit. Engineering culture Our engineering culture is grounded in openness, autonomy, and continuous improvement. We believe great ideas can come from anywhere, so our engineers are encouraged to experiment, ask questions, and learn quickly. We use functional programming for clarity and reliability, and we rely on peer reviews, data driven decisions, and open discussions. Collaboration is central: you will work alongside diverse teams who share knowledge freely. Whether you are designing a new data pipeline or improving system performance, you will find an environment that values curiosity, technical excellence, and shared impact over hierarchy. Be part of the team If you are excited about building the data backbone that powers Elliptic's data platform and helps organisations across the world act faster and see further, we would love to hear from you. At Elliptic, we believe the best ideas come from diverse teams. We encourage applications from people of all backgrounds, identities, and experiences. If you are excited about our mission but are not sure you meet all the requirements, please still apply. Job Benefits Hybrid working and the option to work from almost anywhere for up to 90 days per year £500 Remote working budget to set up your home office space $1,000 Learning & Development budget to use on anything (agreed with your manager) that contributes to your growth and development Holidays: 25 days of annual leave + bank holidays An extra day for your birthday Enhanced parental leave: we provide eligible employees, regardless of gender or whether they become a parent by birth or adoption, 16 weeks of fully paid leave. Private Health Insurance - we use Vitality! Full access to Spill Mental Health Support Life Assurance: we hope you will never need this - but our cover is for 4 times your salary to your beneficiaries £100 Crypto for you! Cycle to Work Scheme
19/05/2026
Full time
Help shape the future of blockchain intelligence at Elliptic At Elliptic, we're building the intelligence layer for the future of finance. Our teams transform complex blockchain and off chain data into actionable insight, empowering financial institutions, regulators, and businesses to innovate with confidence. Guided by our mission to make digital asset intelligence seamlessly accessible, we design and scale the data streams and services that power Elliptic's analytics and decisioning products. As a Data Engineer, you'll design and optimise systems that process large scale blockchain and off chain datasets, enabling organisations worldwide to make trusted, data driven decisions. Whether you join one of our platform focused teams or those that work directly on product data, you'll tackle challenges spanning batch and streaming processing, building high quality, scalable solutions for a rapidly evolving ecosystem. What you will do Build and maintain distributed data pipelines using Scala, Spark, and cloud technologies Collaborate with engineers, data scientists, and product teams to deliver reliable, scalable data systems Design and optimise data ingestion and transformation workflows across blockchain and traditional datasets Ensure accuracy, scalability, and efficiency in systems processing hundreds of millions of daily data points Evaluate design options and trade offs across performance, scalability, reliability, and cost Contribute to the full lifecycle of data platform development from design and deployment to continuous improvement Strengthen pipeline reliability, observability, and automation through code and tooling improvements Grow your influence and take on greater responsibility as you deepen your understanding of our distributed systems and platform architecture Tech environment Scala Spark Databricks AWS Airflow Kubernetes Terraform Functional Programming No Scala experience yet? If you are an experienced data engineer eager to learn, we will support you. You will fit right in if you Enjoy writing clean, well tested, and efficient code Use data and experimentation to make informed decisions Thrive in a collaborative, open culture where sharing and feedback are part of daily work Are curious about new technologies, including how AI and automation can enhance data engineering Appreciate an environment that values autonomy, mentoring, and personal development Want to take advantage of AI driven productivity tools as part of your day to day engineering What we are looking for We welcome engineers at different stages of their careers and will match your level to your experience so you can keep growing and make an impact. Experience delivering and maintaining distributed data pipelines Practical knowledge of Spark, Databricks, or similar big data frameworks Familiarity with cloud infrastructure (AWS, Azure, or GCP) Understanding of data-architecture trade offs, such as scalability, resilience, and observability Interest or experience in functional programming Bonus points for: Experience in streaming processing concepts like delivery semantics, ordering or partitioning Hands on work with Infrastructure as Code (Terraform or CloudFormation) Knowledge of container orchestration (Docker, Kubernetes, Helm) An interest in blockchain and cryptocurrency technology, or a desire to learn Experience applying AI or automation within deployed services Don't tick all the boxes? We're still interested to hear from you if you think you'd be a good fit. Engineering culture Our engineering culture is grounded in openness, autonomy, and continuous improvement. We believe great ideas can come from anywhere, so our engineers are encouraged to experiment, ask questions, and learn quickly. We use functional programming for clarity and reliability, and we rely on peer reviews, data driven decisions, and open discussions. Collaboration is central: you will work alongside diverse teams who share knowledge freely. Whether you are designing a new data pipeline or improving system performance, you will find an environment that values curiosity, technical excellence, and shared impact over hierarchy. Be part of the team If you are excited about building the data backbone that powers Elliptic's data platform and helps organisations across the world act faster and see further, we would love to hear from you. At Elliptic, we believe the best ideas come from diverse teams. We encourage applications from people of all backgrounds, identities, and experiences. If you are excited about our mission but are not sure you meet all the requirements, please still apply. Job Benefits Hybrid working and the option to work from almost anywhere for up to 90 days per year £500 Remote working budget to set up your home office space $1,000 Learning & Development budget to use on anything (agreed with your manager) that contributes to your growth and development Holidays: 25 days of annual leave + bank holidays An extra day for your birthday Enhanced parental leave: we provide eligible employees, regardless of gender or whether they become a parent by birth or adoption, 16 weeks of fully paid leave. Private Health Insurance - we use Vitality! Full access to Spill Mental Health Support Life Assurance: we hope you will never need this - but our cover is for 4 times your salary to your beneficiaries £100 Crypto for you! Cycle to Work Scheme
Why Socure? Socure is building the identity trust infrastructure for the digital economy - verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won't be your place. If you want to help build the future of identity with a team that holds a high bar for itself - keep reading. About the Role The Big Data R&D team is responsible for building the core identity graph and entity-resolution capabilities that power Socure's KYC and compliance products. In this role, you will help develop graph-based algorithms and data pipelines on massive PII datasets, support modelers with high-quality features, and evaluate new data sources that feed our identity and fraud products. You will work closely with senior data scientists and engineers while developing your skills in large-scale ML, distributed systems, and graph analytics. What You'll Do Contribute to the design and implementation of machine learning, data mining, statistical, and graph-based algorithms to analyze very large datasets for identity verification and anomaly detection. Analyze large datasets to help develop and refine entity-resolution and identity-matching algorithms that drive Socure's KYC and compliance solutions. Build and maintain components of data-processing pipelines (ETL, feature generation, normalization) using tools such as Spark/PySpark and AWS (e.g., EMR, S3). Support senior data scientists with feature engineering, data exploration, error analysis, and A/B test setup for new models and signals. Help evaluate new third party and internal data sources: profile data quality, design offline experiments, and summarize impact on coverage and model performance. Implement and maintain SQL and Python/R code for data extraction, transformation, and validation; contribute to code reviews and basic testing. Provide analytical support to compliance and regulatory product teams, including ad hoc investigations, simple dashboards, and data deep dives. Communicate findings in a clear, structured way to peers and cross functional partners (Product, Engineering, Client Analysis), focusing on key insights and trade offs. Work effectively in a fast paced, cross functional environment; demonstrate ownership of well-scoped tasks and follow through to completion. What You Bring Master's degree with 2+ years of experience, or Ph.D. with 1+ years of experience in a data science or analytics role, or equivalent practical experience. Proficiency in at least one general-purpose programming language used in data science (Python, or Scala). Solid experience writing and optimizing SQL for large datasets; comfort working in data lake / warehouse environments. Hands on experience with Spark or PySpark and common ML libraries (e.g., scikit learn, XGBoost, TensorFlow/PyTorch a plus). Familiarity with UNIX environments and the AWS ecosystem (e.g., EMR, S3); Databricks experience is a plus. Working knowledge of supervised/unsupervised ML and basic statistics (similarity measures, clustering, evaluation metrics). Exposure to graph techniques or graph databases (Neo4j, AWS Neptune, GraphFrames) is a strong plus. Bonus: experience with Elasticsearch or DynamoDB; workflow tools such as Airflow for automating data pipelines. Ability to break down loosely defined problems, ask good clarifying questions, and iterate quickly with feedback. Note: sponsorship is not available at this time; and that you must be located within 45 miles of a talent hub to be considered. Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process-including interview or onboarding support-please reach out to your Socure recruiting partner directly.
19/05/2026
Full time
Why Socure? Socure is building the identity trust infrastructure for the digital economy - verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won't be your place. If you want to help build the future of identity with a team that holds a high bar for itself - keep reading. About the Role The Big Data R&D team is responsible for building the core identity graph and entity-resolution capabilities that power Socure's KYC and compliance products. In this role, you will help develop graph-based algorithms and data pipelines on massive PII datasets, support modelers with high-quality features, and evaluate new data sources that feed our identity and fraud products. You will work closely with senior data scientists and engineers while developing your skills in large-scale ML, distributed systems, and graph analytics. What You'll Do Contribute to the design and implementation of machine learning, data mining, statistical, and graph-based algorithms to analyze very large datasets for identity verification and anomaly detection. Analyze large datasets to help develop and refine entity-resolution and identity-matching algorithms that drive Socure's KYC and compliance solutions. Build and maintain components of data-processing pipelines (ETL, feature generation, normalization) using tools such as Spark/PySpark and AWS (e.g., EMR, S3). Support senior data scientists with feature engineering, data exploration, error analysis, and A/B test setup for new models and signals. Help evaluate new third party and internal data sources: profile data quality, design offline experiments, and summarize impact on coverage and model performance. Implement and maintain SQL and Python/R code for data extraction, transformation, and validation; contribute to code reviews and basic testing. Provide analytical support to compliance and regulatory product teams, including ad hoc investigations, simple dashboards, and data deep dives. Communicate findings in a clear, structured way to peers and cross functional partners (Product, Engineering, Client Analysis), focusing on key insights and trade offs. Work effectively in a fast paced, cross functional environment; demonstrate ownership of well-scoped tasks and follow through to completion. What You Bring Master's degree with 2+ years of experience, or Ph.D. with 1+ years of experience in a data science or analytics role, or equivalent practical experience. Proficiency in at least one general-purpose programming language used in data science (Python, or Scala). Solid experience writing and optimizing SQL for large datasets; comfort working in data lake / warehouse environments. Hands on experience with Spark or PySpark and common ML libraries (e.g., scikit learn, XGBoost, TensorFlow/PyTorch a plus). Familiarity with UNIX environments and the AWS ecosystem (e.g., EMR, S3); Databricks experience is a plus. Working knowledge of supervised/unsupervised ML and basic statistics (similarity measures, clustering, evaluation metrics). Exposure to graph techniques or graph databases (Neo4j, AWS Neptune, GraphFrames) is a strong plus. Bonus: experience with Elasticsearch or DynamoDB; workflow tools such as Airflow for automating data pipelines. Ability to break down loosely defined problems, ask good clarifying questions, and iterate quickly with feedback. Note: sponsorship is not available at this time; and that you must be located within 45 miles of a talent hub to be considered. Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process-including interview or onboarding support-please reach out to your Socure recruiting partner directly.
Requirements The scope of this role is broad and we're not looking for someone with deep expertise in every domain the team covers - spanning strategy, analytics, product development, and data science - but rather someone intellectually curious, and skilled at asking the right questions Strong commercial mindset with proven experience driving go-to-market strategy and measurable acquisition growth Experience in growth strategy, revenue operations, or a highly analytical commercial role with a track record of driving tech-enabled or product-led growth Proven people management or team leadership experience, with the ability to build culture and establish operating rhythms in a newly formed team Fluency in German and strong written communication skills tailored to customer-facing environments Strong analytical capability and experience with experimentation frameworks and A/B testing tools Experience working with (or a strong desire to learn about) technical models such as lead scoring, predictive targeting, or qualification logic Ability to work from first principles and thrive in ambiguity with curiosity and autonomy (Desirable) Experience in fintech, lending, B2B SaaS, or regulated products (Desirable) Experience working closely with engineering, product, or data science teams to ship features or models (Desirable) Knowledge of the German SME ecosystem or B2B financial products What the job involves The Acquisition Strategy and Tech team is the integrated growth engine for iwoca in Germany We bridge the gap between high-level commercial strategy and the technical systems that power our customer journey By combining growth analytics, performance modeling, and full-stack engineering, we own the end-to-end acquisition funnel - from the very first touchpoint to a completed loan application. Our Core Focus: Strategic Growth & Analytics: We serve as the central hub for our Direct Marketing and Sales channels We translate complex data into actionable strategies, ensuring our outreach is both scalable and profitably managed Technical Infrastructure: We build and maintain the proprietary systems and models that drive our German operations This includes optimizing the "User Experience" (UX) to ensure a frictionless onboarding process for small businesses Operational Excellence: We connect the dots between data-driven decision-making and real-world commercial impact Our mission is to ensure every potential customer receives a clear, relevant, and rapid understanding of how iwoca can fund their business We are a fast-moving, cross-functional unit designed to turn strategic hypotheses into measurable results Whether it's refining a marketing model or shipping a new feature in the application journey, we ensure that iwoca's expansion in the German market is backed by robust tech and a clear commercial North Star This role sits at the intersection of commercial strategy, data, and technology Reporting into the Head of Direct Acquisition, you will lead a high-performing, interdisciplinary team of three and own acquisition and activation outcomes for the German market Your primary objective is to co-define the growth strategy and partner closely with engineering and data teams to build the systems, onboarding journeys, and experiments that bring that strategy to life You'll define hypotheses, lead cross-functional initiatives, and own the roadmap for how iwoca engages with German businesses You will be accountable for measurable impact on acquisition and conversion, bringing ideas to life through rigorous commercial insight, strong customer empathy, and practical delivery As a Lead, you will also be responsible for coaching your team and establishing the operating rhythm for this new unit Market and problem understanding: Deeply understand the German SME lending landscape, customer needs, and competitive context to sharpen our go-to-market strategy Translate market and customer insight into clearly defined product problems and prioritised commercial opportunities Inform targeting and segmentation strategies to help Marketing and Sales reach the right customers Product build and optimisation: Own the roadmap for acquisition and onboarding, working with engineers and data scientists to develop tools such as lead scoring systems, eligibility checkers, and onboarding journeys Work with marketing and sales to evolve website content, sign-up flows, and decisioning logic to increase conversion Influence future team capability by helping define priorities, roles, and processes as we scale Experimentation and insight: Design, run, and interpret A/B tests across messaging, targeting, onboarding tools, and product flows Identify opportunities using first-principle reasoning supported by data, customer research, and funnel analysis Cross-functional collaboration: Manage, coach, and develop a team of at the beginning two commercial strategy analysts and a data scientist focused on acquisition strategy and operational excellence Lead cross-functional initiatives, aligning engineering, data, marketing, and commercial stakeholders around clear goals, hypotheses, and success metrics Translate high-level business goals into testable hypotheses and actionable briefs for our technical teams Help establish the operating rhythm, rituals, and roadmap processes for this new team
19/05/2026
Full time
Requirements The scope of this role is broad and we're not looking for someone with deep expertise in every domain the team covers - spanning strategy, analytics, product development, and data science - but rather someone intellectually curious, and skilled at asking the right questions Strong commercial mindset with proven experience driving go-to-market strategy and measurable acquisition growth Experience in growth strategy, revenue operations, or a highly analytical commercial role with a track record of driving tech-enabled or product-led growth Proven people management or team leadership experience, with the ability to build culture and establish operating rhythms in a newly formed team Fluency in German and strong written communication skills tailored to customer-facing environments Strong analytical capability and experience with experimentation frameworks and A/B testing tools Experience working with (or a strong desire to learn about) technical models such as lead scoring, predictive targeting, or qualification logic Ability to work from first principles and thrive in ambiguity with curiosity and autonomy (Desirable) Experience in fintech, lending, B2B SaaS, or regulated products (Desirable) Experience working closely with engineering, product, or data science teams to ship features or models (Desirable) Knowledge of the German SME ecosystem or B2B financial products What the job involves The Acquisition Strategy and Tech team is the integrated growth engine for iwoca in Germany We bridge the gap between high-level commercial strategy and the technical systems that power our customer journey By combining growth analytics, performance modeling, and full-stack engineering, we own the end-to-end acquisition funnel - from the very first touchpoint to a completed loan application. Our Core Focus: Strategic Growth & Analytics: We serve as the central hub for our Direct Marketing and Sales channels We translate complex data into actionable strategies, ensuring our outreach is both scalable and profitably managed Technical Infrastructure: We build and maintain the proprietary systems and models that drive our German operations This includes optimizing the "User Experience" (UX) to ensure a frictionless onboarding process for small businesses Operational Excellence: We connect the dots between data-driven decision-making and real-world commercial impact Our mission is to ensure every potential customer receives a clear, relevant, and rapid understanding of how iwoca can fund their business We are a fast-moving, cross-functional unit designed to turn strategic hypotheses into measurable results Whether it's refining a marketing model or shipping a new feature in the application journey, we ensure that iwoca's expansion in the German market is backed by robust tech and a clear commercial North Star This role sits at the intersection of commercial strategy, data, and technology Reporting into the Head of Direct Acquisition, you will lead a high-performing, interdisciplinary team of three and own acquisition and activation outcomes for the German market Your primary objective is to co-define the growth strategy and partner closely with engineering and data teams to build the systems, onboarding journeys, and experiments that bring that strategy to life You'll define hypotheses, lead cross-functional initiatives, and own the roadmap for how iwoca engages with German businesses You will be accountable for measurable impact on acquisition and conversion, bringing ideas to life through rigorous commercial insight, strong customer empathy, and practical delivery As a Lead, you will also be responsible for coaching your team and establishing the operating rhythm for this new unit Market and problem understanding: Deeply understand the German SME lending landscape, customer needs, and competitive context to sharpen our go-to-market strategy Translate market and customer insight into clearly defined product problems and prioritised commercial opportunities Inform targeting and segmentation strategies to help Marketing and Sales reach the right customers Product build and optimisation: Own the roadmap for acquisition and onboarding, working with engineers and data scientists to develop tools such as lead scoring systems, eligibility checkers, and onboarding journeys Work with marketing and sales to evolve website content, sign-up flows, and decisioning logic to increase conversion Influence future team capability by helping define priorities, roles, and processes as we scale Experimentation and insight: Design, run, and interpret A/B tests across messaging, targeting, onboarding tools, and product flows Identify opportunities using first-principle reasoning supported by data, customer research, and funnel analysis Cross-functional collaboration: Manage, coach, and develop a team of at the beginning two commercial strategy analysts and a data scientist focused on acquisition strategy and operational excellence Lead cross-functional initiatives, aligning engineering, data, marketing, and commercial stakeholders around clear goals, hypotheses, and success metrics Translate high-level business goals into testable hypotheses and actionable briefs for our technical teams Help establish the operating rhythm, rituals, and roadmap processes for this new team
Requirements 2+ years of proven success leading consumer-facing mobile products, preferably on iOS An eye for great UX/UI, coupled with a solid grasp of design principles and proficiency in sketching preliminary wireframes Outstanding written communication, with a talent for maintaining accurate feature specifications as the single source of truth Highly analytical, with the ability to pull your own numbers and conduct your own analysis Technical background (Computer Science degree, past experience as an engineer or coding side projects) What the job involves As a Product Manager, you will have sole responsibility over the roadmap of one of our user-facing products. You'll play a pivotal role in shaping its future, working directly with our founder Lead a cross functional team of engineers, designers, and data scientists Set your team's goals and roadmap to align with Wheely's mission Own your team's products (existing and new) across from idea, through development, to launch, growth and maintenance Collaborate with other product squads and other stakeholders
19/05/2026
Full time
Requirements 2+ years of proven success leading consumer-facing mobile products, preferably on iOS An eye for great UX/UI, coupled with a solid grasp of design principles and proficiency in sketching preliminary wireframes Outstanding written communication, with a talent for maintaining accurate feature specifications as the single source of truth Highly analytical, with the ability to pull your own numbers and conduct your own analysis Technical background (Computer Science degree, past experience as an engineer or coding side projects) What the job involves As a Product Manager, you will have sole responsibility over the roadmap of one of our user-facing products. You'll play a pivotal role in shaping its future, working directly with our founder Lead a cross functional team of engineers, designers, and data scientists Set your team's goals and roadmap to align with Wheely's mission Own your team's products (existing and new) across from idea, through development, to launch, growth and maintenance Collaborate with other product squads and other stakeholders
Product ManagerApplylocations: London - Stockley Park 4LW: Remote - Londontime type: Full timeposted on: Posted 30+ Days Agojob requisition id: R Who We Are: IMG is a leading global sports marketing agency, specializing in media rights management and sales, multi-channel content production and distribution, brand partnerships, strategic consulting, digital services, and events management. It powers growth of revenues, fanbases and IP for more than 200 federations, associations, events, and teams, including the National Football League, English Premier League, International Olympic Committee, National Hockey League, Major League Soccer, ATP and WTA Tours, the AELTC (Wimbledon), Euroleague Basketball, CONMEBOL, DP World Tour, and The R&A, as well as UFC, WWE, and PBR. IMG is a subsidiary of TKO Group Holdings, Inc. (NYSE: TKO), a premium sports and entertainment company.TKO Group Holdings, Inc. (NYSE: TKO) is a premium sports and entertainment company. TKO owns iconic properties including UFC, the world's premier mixed martial arts organization; WWE, the global leader in sports entertainment; and PBR, the world's premier bull riding organization. Together, these properties reach 1 billion households across 210 countries and territories and organize more than 500 live events year-round, attracting more than three million fans. TKO also services and partners with major sports rights holders through IMG, an industry-leading global sports marketing agency; and On Location, a global leader in premium experiential hospitality. Working Conditions: Permanent, London Stockley ParkMon-Fri, 9am-5pm What You'll Do: The Product Manager role sits within the Data Services department responsible for data applications across the company's divisions globally from Big Data, Data Warehousing, Business Intelligence, Analytics and Data Science. We work in cross-functional squads composed of Data Engineers, Data Analysts, Data Scientists, and other supporting roles such as DevOps, Security and Architecture.As a Product Manager within TKO Data & AI Services department, you will be responsible for managing the entire product lifecycle, from high-level strategy to hands-on execution. You'll define the product vision, conduct market research, and craft long-term roadmaps while also getting deeply involved in the day-to-day work-creating detailed user stories, prioritizing the backlog, and collaborating with the development team in Agile ceremonies. This role demands a balance between strategic thinking and detailed execution, making you a key driver of the product's success. Responsibilities Translate high-level business goals into detailed user stories with clear acceptance criteria, workflows, and diagrams where necessary. Ensure product roadmaps, backlogs, and delivery plans are aligned with the TKO Data & AI Strategy, including adherence to front door intake and governance policies. Maintain and evolve the data catalogue for your products, ensuring metadata, lineage, and definitions are accurate, accessible, and up to date. Define and communicate a clear product vision and strategy, ensuring alignment with departmental and company goals. Ensure product roadmaps, backlogs, and delivery plans are aligned with the TKO Data & AI Strategy, including adherence to front door intake and governance policies. Conduct market research to identify trends, opportunities, and areas for product innovation. Explore and assess opportunities to embed AI and emerging technologies into data products, bringing forward innovative use cases and solutions that create measurable business impact. Utilise strong technical acumen to dive deeply into data such as running SQL queries, providing basic data modelling, and understanding data technology and architecture to effectively collaborate with engineering teams. Use data and metrics to track product portfolio performance, including KPIs, ROI, and value delivery, to inform prioritisation and investment decisions. Manage project budgets and resources, ensuring alignment with financial objectives. Take part in Agile ceremonies such as sprint planning, backlog refinement, and stand-ups, ensuring close collaboration with Data Engineers, Data Analysts, Data Scientists, and other cross-functional team members. Continuously improve Agile processes within the team and foster a collaborative environment that embraces feedback and adaptation. Develop and maintain product roadmaps, ensuring stakeholders and clients are informed of progress, changes, and alignment with broader company goals. Act as the main point of contact between clients and the development team, gathering feedback and incorporating it into the product development process. Deliver product updates and roadmap presentations to both internal and external stakeholders, soliciting input for future improvements. Set stakeholder expectations, proactively addressing any risks or issues to ensure smooth and timely product releases. Maintain detailed product documentation, including user guides, business rules, data models, and release notes. Work closely with data architects and engineers to translate business requirements into actionable technical features. Perform data validation and quality checks, ensuring accuracy and consistency, and assist stakeholders in UAT when required. Be accountable for maintaining the data catalogue for your products and ensure it remains up to date. You Have These: 5+ years of experience in Product Management or a related role. Bachelor's degree in information systems, Computer Science, or equivalent experience. Proven experience managing all aspects of the product lifecycle, from strategic planning to hands-on execution. Excellent knowledge and experience in Agile methodologies, including leading ceremonies and backlog management. Excellent stakeholder management and proactive communication skills. Excellent organizational and forward-planning abilities. Experience in crafting clear, actionable user stories and maintaining comprehensive product documentation. A natural problem-solver with a curious, analytical mindset. Solid understanding of data products, including data science, analytics, reporting, and Big Data technologies. Ability to work effectively under pressure, prioritizing tasks in a fast-paced environment. Technical fluency to understand and communicate product details with the development team. Always maintain complete confidentiality and discretion - all TKO employees are required to sign a confidentiality agreement, and any breach of this agreement will result in immediate disciplinary procedures. Preferred Skills Experience with product management tools like JIRA/TFS. Familiarity with data security regulations (GDPR, CCPA) and delivering cloud-based solutions. Industry knowledge in sectors such as media, sports, events, and other areas TKO operates in. Additional Responsibilities and Duties when necessary Available to work out of normal business hours and weekends when required TKO EEO Statement: TKO is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws regarding non-discrimination in employment. TKO makes employment decisions based on merit and qualifications, without considering an employee's or applicant's race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, marital status, veteran status, or any other basis prohibited under federal, state or local laws governing non-discrimination in employment in every location in which the Company has facilities. TKO also provides reasonable accommodations for qualified individuals with disabilities in accordance with the Americans with Disabilities Act (ADA) and applicable state or local laws. For information about Privacy and Information Security for TKO employment candidates, please review our Privacy Policy. For information regarding Terms of Use for this and other TKO websites, please review our Terms of Use.
19/05/2026
Full time
Product ManagerApplylocations: London - Stockley Park 4LW: Remote - Londontime type: Full timeposted on: Posted 30+ Days Agojob requisition id: R Who We Are: IMG is a leading global sports marketing agency, specializing in media rights management and sales, multi-channel content production and distribution, brand partnerships, strategic consulting, digital services, and events management. It powers growth of revenues, fanbases and IP for more than 200 federations, associations, events, and teams, including the National Football League, English Premier League, International Olympic Committee, National Hockey League, Major League Soccer, ATP and WTA Tours, the AELTC (Wimbledon), Euroleague Basketball, CONMEBOL, DP World Tour, and The R&A, as well as UFC, WWE, and PBR. IMG is a subsidiary of TKO Group Holdings, Inc. (NYSE: TKO), a premium sports and entertainment company.TKO Group Holdings, Inc. (NYSE: TKO) is a premium sports and entertainment company. TKO owns iconic properties including UFC, the world's premier mixed martial arts organization; WWE, the global leader in sports entertainment; and PBR, the world's premier bull riding organization. Together, these properties reach 1 billion households across 210 countries and territories and organize more than 500 live events year-round, attracting more than three million fans. TKO also services and partners with major sports rights holders through IMG, an industry-leading global sports marketing agency; and On Location, a global leader in premium experiential hospitality. Working Conditions: Permanent, London Stockley ParkMon-Fri, 9am-5pm What You'll Do: The Product Manager role sits within the Data Services department responsible for data applications across the company's divisions globally from Big Data, Data Warehousing, Business Intelligence, Analytics and Data Science. We work in cross-functional squads composed of Data Engineers, Data Analysts, Data Scientists, and other supporting roles such as DevOps, Security and Architecture.As a Product Manager within TKO Data & AI Services department, you will be responsible for managing the entire product lifecycle, from high-level strategy to hands-on execution. You'll define the product vision, conduct market research, and craft long-term roadmaps while also getting deeply involved in the day-to-day work-creating detailed user stories, prioritizing the backlog, and collaborating with the development team in Agile ceremonies. This role demands a balance between strategic thinking and detailed execution, making you a key driver of the product's success. Responsibilities Translate high-level business goals into detailed user stories with clear acceptance criteria, workflows, and diagrams where necessary. Ensure product roadmaps, backlogs, and delivery plans are aligned with the TKO Data & AI Strategy, including adherence to front door intake and governance policies. Maintain and evolve the data catalogue for your products, ensuring metadata, lineage, and definitions are accurate, accessible, and up to date. Define and communicate a clear product vision and strategy, ensuring alignment with departmental and company goals. Ensure product roadmaps, backlogs, and delivery plans are aligned with the TKO Data & AI Strategy, including adherence to front door intake and governance policies. Conduct market research to identify trends, opportunities, and areas for product innovation. Explore and assess opportunities to embed AI and emerging technologies into data products, bringing forward innovative use cases and solutions that create measurable business impact. Utilise strong technical acumen to dive deeply into data such as running SQL queries, providing basic data modelling, and understanding data technology and architecture to effectively collaborate with engineering teams. Use data and metrics to track product portfolio performance, including KPIs, ROI, and value delivery, to inform prioritisation and investment decisions. Manage project budgets and resources, ensuring alignment with financial objectives. Take part in Agile ceremonies such as sprint planning, backlog refinement, and stand-ups, ensuring close collaboration with Data Engineers, Data Analysts, Data Scientists, and other cross-functional team members. Continuously improve Agile processes within the team and foster a collaborative environment that embraces feedback and adaptation. Develop and maintain product roadmaps, ensuring stakeholders and clients are informed of progress, changes, and alignment with broader company goals. Act as the main point of contact between clients and the development team, gathering feedback and incorporating it into the product development process. Deliver product updates and roadmap presentations to both internal and external stakeholders, soliciting input for future improvements. Set stakeholder expectations, proactively addressing any risks or issues to ensure smooth and timely product releases. Maintain detailed product documentation, including user guides, business rules, data models, and release notes. Work closely with data architects and engineers to translate business requirements into actionable technical features. Perform data validation and quality checks, ensuring accuracy and consistency, and assist stakeholders in UAT when required. Be accountable for maintaining the data catalogue for your products and ensure it remains up to date. You Have These: 5+ years of experience in Product Management or a related role. Bachelor's degree in information systems, Computer Science, or equivalent experience. Proven experience managing all aspects of the product lifecycle, from strategic planning to hands-on execution. Excellent knowledge and experience in Agile methodologies, including leading ceremonies and backlog management. Excellent stakeholder management and proactive communication skills. Excellent organizational and forward-planning abilities. Experience in crafting clear, actionable user stories and maintaining comprehensive product documentation. A natural problem-solver with a curious, analytical mindset. Solid understanding of data products, including data science, analytics, reporting, and Big Data technologies. Ability to work effectively under pressure, prioritizing tasks in a fast-paced environment. Technical fluency to understand and communicate product details with the development team. Always maintain complete confidentiality and discretion - all TKO employees are required to sign a confidentiality agreement, and any breach of this agreement will result in immediate disciplinary procedures. Preferred Skills Experience with product management tools like JIRA/TFS. Familiarity with data security regulations (GDPR, CCPA) and delivering cloud-based solutions. Industry knowledge in sectors such as media, sports, events, and other areas TKO operates in. Additional Responsibilities and Duties when necessary Available to work out of normal business hours and weekends when required TKO EEO Statement: TKO is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws regarding non-discrimination in employment. TKO makes employment decisions based on merit and qualifications, without considering an employee's or applicant's race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, marital status, veteran status, or any other basis prohibited under federal, state or local laws governing non-discrimination in employment in every location in which the Company has facilities. TKO also provides reasonable accommodations for qualified individuals with disabilities in accordance with the Americans with Disabilities Act (ADA) and applicable state or local laws. For information about Privacy and Information Security for TKO employment candidates, please review our Privacy Policy. For information regarding Terms of Use for this and other TKO websites, please review our Terms of Use.
Working as part of our Analytics Engineering team and reporting to one of our Analytics Engineering Managers, your role will be to provide clean, tested, well documented and well modelled data sets, that will enable and empower data scientists and business users alike, via tools like Snowflake and/or Looker. You'll work with product engineering teams to ensure modelling of source data meets downstream requirements. You will maintain and develop SQL data transformation scripts, and advise and review data scientists on data modelling to achieve denormalised and aggregated output datasets. You'll work with data scientists and other analytics engineers to surface clean, intuitive datasets in our BI tool, Looker. You will be responsible for optimisation and further adoption of Looker as a data product in the business, catering to 1500 current active users who need to discover and interact with data. Skillset Required 3+ years Analytics Engineering / Data Engineering / BI Engineering experience Understanding of data warehousing, data modelling concepts and structuring new data tables Knowledge of cloud-based MPP data warehousing (e.g. Snowflake, BigQuery, Redshift) Nice to have Experience developing in a BI tool (Looker or similar) Good practical understanding of version control SQL ETL/ELT knowledge, experience with DAGs to manage script dependencies Python coding skills, particularly in the areas of automation & integrations Good knowledge of the Looker API Workplace & Diversity At Deliveroo we know that people are the heart of the business and we prioritise their welfare. We offer multiple great benefits in areas including health, family, finance, community, convenience, growth and relocation. We believe a great workplace is one that represents the world we live in and how beautifully diverse it can be. That means we have no judgement when it comes to any one of the things that make you who you are - your gender, race, sexuality, religion or other characteristics. All you need is a passion for food and a desire to be part of one of the fastest growing start ups around. A competitive and comprehensive compensation and benefits package.
19/05/2026
Full time
Working as part of our Analytics Engineering team and reporting to one of our Analytics Engineering Managers, your role will be to provide clean, tested, well documented and well modelled data sets, that will enable and empower data scientists and business users alike, via tools like Snowflake and/or Looker. You'll work with product engineering teams to ensure modelling of source data meets downstream requirements. You will maintain and develop SQL data transformation scripts, and advise and review data scientists on data modelling to achieve denormalised and aggregated output datasets. You'll work with data scientists and other analytics engineers to surface clean, intuitive datasets in our BI tool, Looker. You will be responsible for optimisation and further adoption of Looker as a data product in the business, catering to 1500 current active users who need to discover and interact with data. Skillset Required 3+ years Analytics Engineering / Data Engineering / BI Engineering experience Understanding of data warehousing, data modelling concepts and structuring new data tables Knowledge of cloud-based MPP data warehousing (e.g. Snowflake, BigQuery, Redshift) Nice to have Experience developing in a BI tool (Looker or similar) Good practical understanding of version control SQL ETL/ELT knowledge, experience with DAGs to manage script dependencies Python coding skills, particularly in the areas of automation & integrations Good knowledge of the Looker API Workplace & Diversity At Deliveroo we know that people are the heart of the business and we prioritise their welfare. We offer multiple great benefits in areas including health, family, finance, community, convenience, growth and relocation. We believe a great workplace is one that represents the world we live in and how beautifully diverse it can be. That means we have no judgement when it comes to any one of the things that make you who you are - your gender, race, sexuality, religion or other characteristics. All you need is a passion for food and a desire to be part of one of the fastest growing start ups around. A competitive and comprehensive compensation and benefits package.
Prolific Academic Ltd is seeking Data Scientists and Data Analysts to join their Expert Network in Canterbury, UK. The role involves training and evaluating AI models using your technical expertise, with competitive pay rates of up to $80 per hour. Candidates should have a degree in a quantitative field, relevant professional experience, and proficiency in programming languages such as Python or R. The position offers the flexibility to work remotely and the chance to influence the development of AI technologies.
19/05/2026
Full time
Prolific Academic Ltd is seeking Data Scientists and Data Analysts to join their Expert Network in Canterbury, UK. The role involves training and evaluating AI models using your technical expertise, with competitive pay rates of up to $80 per hour. Candidates should have a degree in a quantitative field, relevant professional experience, and proficiency in programming languages such as Python or R. The position offers the flexibility to work remotely and the chance to influence the development of AI technologies.
Requirements Software Development Skills: Proficiency developing high-performance embedded Linux systems software in C++. Demonstrated ability to manage the complete software development lifecycle from ideation through delivery & optimization Proficiency with performance profiling tools and techniques for identifying and resolving system bottlenecks Proven track record of methodical experiment evaluation Strong technical background on OS scheduling, computer architecture (memory hierarchy, CPU caches, context switches, ), and thread synchronisation (Desirable) Familiarity with Nvidia performance tools such as NV NSight, NV Lumos and tegrastat (Desirable) Familiarity with observability tools such as Grafana (logs, metrics, traces), Databricks, Datadog (Desirable) Familiarity with QNX and Momentics is a plus What the job involves The Robot Software team is responsible for the software that runs on our internal fleet of vehicles to enable autonomous driving and collect data for training new driving models You will join a motivated and talented team of engineers to deliver a reliable, stable and flexible software stack to support on-road experimentation by our model developers and scientists Your work will enable these teams to iterate quickly and gather the data they need to improve our autonomous driving capabilities and support new product features, which is critical to the success of Wayve's mission The System Performance team equips all Wayve teams with the observability, profiling tools, and infrastructure needed to understand and optimise software performance across our development fleet We work closely with teams to investigate issues, reduce bottlenecks, and promote best practices Our work enhances core onboard components to ensure efficient use of compute and a solid foundation for running model experiments at scale We also provide the tooling and infrastructure needed to quickly detect, diagnose, and address performance regressions, helping teams move faster with greater confidence Investigate latency and performance bottlenecks across the entire software stack Instrument code with profiling tools and metrics to collect performance data and identify optimization opportunities Integrate and evaluate new profiling and instrumentation tools to benchmark system performance and establish baselines Collaborate with multiple teams to understand their performance pain points and prioritize optimization efforts based on impact Optimize critical code paths and algorithms to improve runtime efficiency, reduce latency, and enhance overall system performance
19/05/2026
Full time
Requirements Software Development Skills: Proficiency developing high-performance embedded Linux systems software in C++. Demonstrated ability to manage the complete software development lifecycle from ideation through delivery & optimization Proficiency with performance profiling tools and techniques for identifying and resolving system bottlenecks Proven track record of methodical experiment evaluation Strong technical background on OS scheduling, computer architecture (memory hierarchy, CPU caches, context switches, ), and thread synchronisation (Desirable) Familiarity with Nvidia performance tools such as NV NSight, NV Lumos and tegrastat (Desirable) Familiarity with observability tools such as Grafana (logs, metrics, traces), Databricks, Datadog (Desirable) Familiarity with QNX and Momentics is a plus What the job involves The Robot Software team is responsible for the software that runs on our internal fleet of vehicles to enable autonomous driving and collect data for training new driving models You will join a motivated and talented team of engineers to deliver a reliable, stable and flexible software stack to support on-road experimentation by our model developers and scientists Your work will enable these teams to iterate quickly and gather the data they need to improve our autonomous driving capabilities and support new product features, which is critical to the success of Wayve's mission The System Performance team equips all Wayve teams with the observability, profiling tools, and infrastructure needed to understand and optimise software performance across our development fleet We work closely with teams to investigate issues, reduce bottlenecks, and promote best practices Our work enhances core onboard components to ensure efficient use of compute and a solid foundation for running model experiments at scale We also provide the tooling and infrastructure needed to quickly detect, diagnose, and address performance regressions, helping teams move faster with greater confidence Investigate latency and performance bottlenecks across the entire software stack Instrument code with profiling tools and metrics to collect performance data and identify optimization opportunities Integrate and evaluate new profiling and instrumentation tools to benchmark system performance and establish baselines Collaborate with multiple teams to understand their performance pain points and prioritize optimization efforts based on impact Optimize critical code paths and algorithms to improve runtime efficiency, reduce latency, and enhance overall system performance
A leading AI vertical retail data company is seeking a Product Analytics Data Scientist in the United Kingdom to join their Smart Replenishment team. The role involves refining AI agents, tailoring models to customer strategies, and analyzing experiments to enhance customer performance. Candidates should possess a technical degree and have 3+ years of experience in Analytics or Data Science, with strong SQL skills and familiarity with relevant tools. Join us to make an impact in a fast-growing organization.
19/05/2026
Full time
A leading AI vertical retail data company is seeking a Product Analytics Data Scientist in the United Kingdom to join their Smart Replenishment team. The role involves refining AI agents, tailoring models to customer strategies, and analyzing experiments to enhance customer performance. Candidates should possess a technical degree and have 3+ years of experience in Analytics or Data Science, with strong SQL skills and familiarity with relevant tools. Join us to make an impact in a fast-growing organization.
Requirements 3+ years of experience (5+ years for seniors) building and maintaining scalable backend services We use Go. If you know it, great. If not, we'll interview you in your strongest language (Python, C++, Java, Ruby, etc.). We hire for engineering fundamentals, not syntax In-depth knowledge of relational and NoSQL databases (PostgreSQL, MongoDB, Redis) and experience with message brokers like RabbitMQ or Kafka What the job involves Our Platform team creates the foundation that allows our entire engineering organisation to move fast. This means building shared tooling, managing migrations (including our move from a Ruby monolith), and evolving our infrastructure We're looking for a Mid/Senior Backend Engineer to join a team that keeps frameworks lean and focuses on what matters: clean, maintainable code, shipped fast with TDD, DDD, and continuous integration and delivery We are a Go shop, and while we're busy migrating away from our Ruby monolith, our stack includes PostgreSQL, MongoDB, RabbitMQ, Redis, gRPC, and Thrift. Everything runs on AWS and Kubernetes, managed via Terraform Write high-quality, performant code primarily in Go Implement new microservices while helping us responsibly manage and migrate away from legacy services Work closely with product managers, designers, and data scientists to turn abstract requirements into concrete technical designs Ensure our systems stay responsive under heavy load, optimising for both latency and reliability
19/05/2026
Full time
Requirements 3+ years of experience (5+ years for seniors) building and maintaining scalable backend services We use Go. If you know it, great. If not, we'll interview you in your strongest language (Python, C++, Java, Ruby, etc.). We hire for engineering fundamentals, not syntax In-depth knowledge of relational and NoSQL databases (PostgreSQL, MongoDB, Redis) and experience with message brokers like RabbitMQ or Kafka What the job involves Our Platform team creates the foundation that allows our entire engineering organisation to move fast. This means building shared tooling, managing migrations (including our move from a Ruby monolith), and evolving our infrastructure We're looking for a Mid/Senior Backend Engineer to join a team that keeps frameworks lean and focuses on what matters: clean, maintainable code, shipped fast with TDD, DDD, and continuous integration and delivery We are a Go shop, and while we're busy migrating away from our Ruby monolith, our stack includes PostgreSQL, MongoDB, RabbitMQ, Redis, gRPC, and Thrift. Everything runs on AWS and Kubernetes, managed via Terraform Write high-quality, performant code primarily in Go Implement new microservices while helping us responsibly manage and migrate away from legacy services Work closely with product managers, designers, and data scientists to turn abstract requirements into concrete technical designs Ensure our systems stay responsive under heavy load, optimising for both latency and reliability
Requirements We are looking for a skilled software engineer who thrives on building and scaling complex systems You should have a proven track record of delivering robust, multi-technology applications within an enterprise environment The main part of our Tech Stack is listed below, we don't ask that you have experience in all of this, but if you do, that's great! Python Java, which makes up the majority of our backend codebase JavaScript, particularly React, which makes up our frontend Postgres and SQL AWS & GCP - we're cloud-native TeamCity for CI / CD (lots of teams are releasing code 15-20 times per day!) Terraform Prometheus and Grafana If you have built and deployed complex Python applications or have hands-on experience with generative AI and LLMs, we would be especially keen to talk. We are moving fast in the AI space and want people who are excited to help us define what comes next You may be put off applying for a role because you don't tick every box. Forget that! If you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway What the job involves Our Data teams are aligned to divisions covering the following Banking Services & Products, Customer Identity & Financial Crime and Data & ML Engineering Our Data teams are excited about delivering meaningful and impactful insights to both the business and more importantly our customers Hear from the team in our latest blogs or our case studies with Women in Tech We are looking for talented engineers at all levels to join the team We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good The ML Projects team is at the forefront of bringing cutting edge machine learning to the core of what we do at Starling As a software engineer on the ML Projects team you will work with other engineers and data scientists to design, implement and maintain features that make use of machine learning models under the hood This could mean anything from creating a brand new ML-powered feature from scratch to seamlessly integrating a new model into our core banking platform You might find yourself designing robust infrastructure and pipelines or discovering a completely new approach to a complex problem We believe in empowering our engineers to take ownership and drive solutions from ideation to launch This means you'll have the autonomy to shape your own path, identify challenges, and collaborate with colleagues across teams to deliver impactful solutions across a range of technologies We're open-minded when it comes to hiring and we care more about aptitude and attitude than specific qualifications. We are very open about how we deliver software. We believe in clean coding, simple solutions, automated testing and continuous deployment. If you care enough to find elegant solutions to difficult technical problems, we'd love to hear from you
19/05/2026
Full time
Requirements We are looking for a skilled software engineer who thrives on building and scaling complex systems You should have a proven track record of delivering robust, multi-technology applications within an enterprise environment The main part of our Tech Stack is listed below, we don't ask that you have experience in all of this, but if you do, that's great! Python Java, which makes up the majority of our backend codebase JavaScript, particularly React, which makes up our frontend Postgres and SQL AWS & GCP - we're cloud-native TeamCity for CI / CD (lots of teams are releasing code 15-20 times per day!) Terraform Prometheus and Grafana If you have built and deployed complex Python applications or have hands-on experience with generative AI and LLMs, we would be especially keen to talk. We are moving fast in the AI space and want people who are excited to help us define what comes next You may be put off applying for a role because you don't tick every box. Forget that! If you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway What the job involves Our Data teams are aligned to divisions covering the following Banking Services & Products, Customer Identity & Financial Crime and Data & ML Engineering Our Data teams are excited about delivering meaningful and impactful insights to both the business and more importantly our customers Hear from the team in our latest blogs or our case studies with Women in Tech We are looking for talented engineers at all levels to join the team We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good The ML Projects team is at the forefront of bringing cutting edge machine learning to the core of what we do at Starling As a software engineer on the ML Projects team you will work with other engineers and data scientists to design, implement and maintain features that make use of machine learning models under the hood This could mean anything from creating a brand new ML-powered feature from scratch to seamlessly integrating a new model into our core banking platform You might find yourself designing robust infrastructure and pipelines or discovering a completely new approach to a complex problem We believe in empowering our engineers to take ownership and drive solutions from ideation to launch This means you'll have the autonomy to shape your own path, identify challenges, and collaborate with colleagues across teams to deliver impactful solutions across a range of technologies We're open-minded when it comes to hiring and we care more about aptitude and attitude than specific qualifications. We are very open about how we deliver software. We believe in clean coding, simple solutions, automated testing and continuous deployment. If you care enough to find elegant solutions to difficult technical problems, we'd love to hear from you
