We power people's progress. At Preply, we're all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalised learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it's creating real impact. We've just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human-led, AI-enhanced learning. Today, 100,000+ tutors teach 90+ languages to learners in 180 countries - and we're only getting started. As a category-defining company, we're shaping what the future of learning looks like at global scale. Every Preply lesson sparks change, fuels ambition, and drives progress that matters. Joining Preply means helping define the future of education at global scale, and building something that truly matters for millions of people, every day. Meet the team At Preply, we're growing a talented data team to empower top notch decision making across our organization. Our team collaborates closely with various other chapters - including product, business, and platform - leveraging analysis, experimentation, causal inference, and machine learning. You'll be embedded in cross functional teams, partnering with our MarTech Product Manager, Marketeers, Tech Leads, and the Data Strategy team. Check out our Tech Radar to see the tools and technologies we love using at Preply! What you'll be doing Collaborate with performance marketing teams in coming up with data solutions to support the optimization of marketing campaigns, budgets and results Use recommendation systems and clustering to uncover the most effective combinations of search terms, keywords, ad copies, and landing pages that maximize effectiveness of our paid search channel Scale new channels and improve targeting and bidding strategies by using regression models to assign predictive weights to funnel events Lead the rollout of LTV models and use early insights to guide marketing investments, product decisions, and uncover high leverage opportunities across the business - including CRM, Customer Support, Refer a Friend, and more - while proactively sharing learnings to inform cross functional strategy and prioritization Design and analyze A/B tests to measure marketing effectiveness, applying advanced methods like causal inference to quantify incremental ROI Work closely with the Data Engineering team in the creation of scalable data pipelines while guaranteeing an optimal evolution of our ETL processes, as well on the adoption of new tools and frameworks Contribute to cross company initiatives in alignment with our data organization's vision Support proactively the application of predictive models in performance marketing channels What you need to succeed Extensive experience as a Data Scientist working with performance marketing teams in a B2C environment, delivering business insights and building data products Knowledge of bidding, incrementality, and attribution Skilled in developing and deploying machine learning models Experience with experimentation (design and evaluation of A/B tests) Experience working in Marketplaces and/or digital businesses environments, in the context of performance marketing Strong coding skills in SQL and Python Creative mindset and proactive attitude towards the creation and evaluation of new solutions Strong curiosity, problem solving and problem finding skills Advanced written and verbal communication skills in English Nice to have Previous experience with causal inference techniques (e.g. geo lift testing, causal impact, synthetic control, difference in differences, etc.) Previous experience with Databricks, Snowflake, Looker Previous experience with Apache Spark Knowledge of data orchestration tools (e.g. dbt and Airflow) Why you'll love it at Preply An open, collaborative, dynamic and diverse culture A generous monthly allowance for lessons on Learning & Development budget and time off for your self development A competitive financial package with equity, leave allowance and health insurance Not in Barcelona? We offer an attractive relocation package to join us in our Preply Barcelona Hub Access to free mental health support platforms Access to Gympass partnered wellness and gym centers throughout Spain to promote and support well being and physical health The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!) Diversity, Equity, and Inclusion is committed to creating an inclusive environment where people of diverse backgrounds can thrive. We believe that the presence of different opinions and viewpoints is a key ingredient for our success as a multicultural Ed Tech company. That means that Preply will consider all applications for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or veteran status.
30/05/2026
Full time
We power people's progress. At Preply, we're all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalised learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it's creating real impact. We've just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human-led, AI-enhanced learning. Today, 100,000+ tutors teach 90+ languages to learners in 180 countries - and we're only getting started. As a category-defining company, we're shaping what the future of learning looks like at global scale. Every Preply lesson sparks change, fuels ambition, and drives progress that matters. Joining Preply means helping define the future of education at global scale, and building something that truly matters for millions of people, every day. Meet the team At Preply, we're growing a talented data team to empower top notch decision making across our organization. Our team collaborates closely with various other chapters - including product, business, and platform - leveraging analysis, experimentation, causal inference, and machine learning. You'll be embedded in cross functional teams, partnering with our MarTech Product Manager, Marketeers, Tech Leads, and the Data Strategy team. Check out our Tech Radar to see the tools and technologies we love using at Preply! What you'll be doing Collaborate with performance marketing teams in coming up with data solutions to support the optimization of marketing campaigns, budgets and results Use recommendation systems and clustering to uncover the most effective combinations of search terms, keywords, ad copies, and landing pages that maximize effectiveness of our paid search channel Scale new channels and improve targeting and bidding strategies by using regression models to assign predictive weights to funnel events Lead the rollout of LTV models and use early insights to guide marketing investments, product decisions, and uncover high leverage opportunities across the business - including CRM, Customer Support, Refer a Friend, and more - while proactively sharing learnings to inform cross functional strategy and prioritization Design and analyze A/B tests to measure marketing effectiveness, applying advanced methods like causal inference to quantify incremental ROI Work closely with the Data Engineering team in the creation of scalable data pipelines while guaranteeing an optimal evolution of our ETL processes, as well on the adoption of new tools and frameworks Contribute to cross company initiatives in alignment with our data organization's vision Support proactively the application of predictive models in performance marketing channels What you need to succeed Extensive experience as a Data Scientist working with performance marketing teams in a B2C environment, delivering business insights and building data products Knowledge of bidding, incrementality, and attribution Skilled in developing and deploying machine learning models Experience with experimentation (design and evaluation of A/B tests) Experience working in Marketplaces and/or digital businesses environments, in the context of performance marketing Strong coding skills in SQL and Python Creative mindset and proactive attitude towards the creation and evaluation of new solutions Strong curiosity, problem solving and problem finding skills Advanced written and verbal communication skills in English Nice to have Previous experience with causal inference techniques (e.g. geo lift testing, causal impact, synthetic control, difference in differences, etc.) Previous experience with Databricks, Snowflake, Looker Previous experience with Apache Spark Knowledge of data orchestration tools (e.g. dbt and Airflow) Why you'll love it at Preply An open, collaborative, dynamic and diverse culture A generous monthly allowance for lessons on Learning & Development budget and time off for your self development A competitive financial package with equity, leave allowance and health insurance Not in Barcelona? We offer an attractive relocation package to join us in our Preply Barcelona Hub Access to free mental health support platforms Access to Gympass partnered wellness and gym centers throughout Spain to promote and support well being and physical health The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!) Diversity, Equity, and Inclusion is committed to creating an inclusive environment where people of diverse backgrounds can thrive. We believe that the presence of different opinions and viewpoints is a key ingredient for our success as a multicultural Ed Tech company. That means that Preply will consider all applications for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or veteran status.
Preply is seeking a Data Scientist to empower decision-making in marketing through data solutions and machine learning. This role requires extensive experience in performance marketing within a B2C environment, strong SQL and Python coding capabilities, and an innovative mindset. You'll be collaborating with cross-functional teams to analyze marketing effectiveness, optimize campaigns, and contribute to product decisions. Preply values a diverse culture and offers competitive benefits, including a generous allowance for lessons and health support.
30/05/2026
Full time
Preply is seeking a Data Scientist to empower decision-making in marketing through data solutions and machine learning. This role requires extensive experience in performance marketing within a B2C environment, strong SQL and Python coding capabilities, and an innovative mindset. You'll be collaborating with cross-functional teams to analyze marketing effectiveness, optimize campaigns, and contribute to product decisions. Preply values a diverse culture and offers competitive benefits, including a generous allowance for lessons and health support.
MCS Group are delighted to be partnering with a fast-growing global technology company expanding its presence into Belfast and is looking for a Senior Data Scientist to join their brand-new R&D site. This is a rare opportunity to be part of a high-impact team at the start of an exciting new chapter in the city's tech scene. About the Role As a Senior Data Scientist, you'll work with large, complex datasets to build machine learning models, predictive analytics, and data-driven solutions that directly influence business decisions. You'll collaborate closely with engineering, analytics, and product teams to design scalable and reliable data pipelines, develop models in production, and drive insights across the business. What We're Looking For 5+ years' experience in Data Science, Machine Learning, or Data Engineering Focus on LLMs, GenAI, and real-world AI systems Strong programming skills in Python, SQL, and relevant ML frameworks Experience with cloud platforms (AWS, GCP, or Azure) and modern data pipelines Proven ability to translate complex data into actionable insights Strong collaboration and communication skills Why Join Be part of a brand-new FDI into Belfast and shape the team from the ground up Work on cutting-edge AI and ML projects with global impact Hybrid working, flexible benefits, and a supportive, innovative culture Opportunity for career growth in a fast-scaling tech company If you're passionate about data and excited by the chance to make a real impact in Belfast's tech ecosystem, we'd love to hear from you. To speak in absolute confidence about this opportunity please contact Rachael Walker, Principal IT Recruitment Consultant at MCS Groupor click the apply button below. If this position is not right for you, we have others that are. Please visit MCS Group to view a wide selection of our current jobs or give us a call. All conversations will be treated in the strictest of confidence.
30/05/2026
Full time
MCS Group are delighted to be partnering with a fast-growing global technology company expanding its presence into Belfast and is looking for a Senior Data Scientist to join their brand-new R&D site. This is a rare opportunity to be part of a high-impact team at the start of an exciting new chapter in the city's tech scene. About the Role As a Senior Data Scientist, you'll work with large, complex datasets to build machine learning models, predictive analytics, and data-driven solutions that directly influence business decisions. You'll collaborate closely with engineering, analytics, and product teams to design scalable and reliable data pipelines, develop models in production, and drive insights across the business. What We're Looking For 5+ years' experience in Data Science, Machine Learning, or Data Engineering Focus on LLMs, GenAI, and real-world AI systems Strong programming skills in Python, SQL, and relevant ML frameworks Experience with cloud platforms (AWS, GCP, or Azure) and modern data pipelines Proven ability to translate complex data into actionable insights Strong collaboration and communication skills Why Join Be part of a brand-new FDI into Belfast and shape the team from the ground up Work on cutting-edge AI and ML projects with global impact Hybrid working, flexible benefits, and a supportive, innovative culture Opportunity for career growth in a fast-scaling tech company If you're passionate about data and excited by the chance to make a real impact in Belfast's tech ecosystem, we'd love to hear from you. To speak in absolute confidence about this opportunity please contact Rachael Walker, Principal IT Recruitment Consultant at MCS Groupor click the apply button below. If this position is not right for you, we have others that are. Please visit MCS Group to view a wide selection of our current jobs or give us a call. All conversations will be treated in the strictest of confidence.
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 We are seeking a highly analytical and impact-driven Senior Data Scientist to join our Data Science Data team at Socure. In this role, you will work at the intersection of data, fraud risk, and identity verification, transforming raw, complex datasets into actionable insights that directly improve our products and decisioning systems. You will own high-impact projects end to end: designing scalable data pipelines, building and evaluating models, and leading analytical deep-dives that shape how we use data to detect fraud and validate identity. You will also leverage emerging approaches, including agentic AI and LLM-powered systems, to automate data analysis, accelerate insight generation, and scale how we evaluate identity data and detect fraud patterns. This is an advanced individual-contributor role (IC4 / Senior) that requires deep technical expertise, strong business judgment, and alignment with Socure's leadership competencies, including continuous learning, effective communication, accountability, team development, decision making, and managing change. What You'll Do Design, build, and maintain scalable data pipelines and workflows to support analytics, fraud detection, model development, and ongoing data monitoring (e.g., using Spark, Airflow, or similar distributed systems). Leverage and build agentic AI and LLM-powered systems to automate data exploration, anomaly detection, vendor evaluation, and investigative workflows, increasing the speed and depth of insight generation. Build and optimize models using a variety of input data types, including tabular data, natural language, point clouds, and images, in support of fraud detection and identity verification use cases. Own data quality and integrity for critical datasets, implementing monitoring, validation checks, and anomaly detection to ensure reliable input to models and downstream decision systems. Take ownership of project outcomes from scoping through delivery, managing data quality, technical trade-offs, and timelines; proactively escrow risks and work cross-functionally to resolve challenges. Evaluate and integrate third-party data vendors and external datasets, including designing experiments to assess data quality, coverage, lift, and long term value for Socure's models and products. Collaborate closely with Product, Engineering, and Risk teams to define data requirements, shape roadmap priorities, and deliver insights that guide strategic decisions for fraud and identity products. Conduct in depth research to explore new data sources and develop novel algorithms and features that advance the state of the art in fraud detection, identity resolution, and risk scoring. Lead the end to end ML/analytics lifecycle for assigned projects: problem definition, data exploration, feature engineering, modeling, evaluation, deployment handoff, and post deployment monitoring where applicable. Present findings, trade offs, and recommendations to technical and executive stakeholders with clarity and influence, adapting communication for audiences ranging from engineers to non technical business leaders. Mentor and share knowledge with peers and junior data scientists, fostering a culture of experimentation, rapid iteration, and continuous learning aligned to Socure's leadership competencies. Stay current with advancements in AI, machine learning, and data infrastructure (including LLMs and agentic frameworks), and apply innovative techniques to real world fraud and identity problems. Model Socure's embedded leadership competencies in day to day work: continuous learning, effective communication, accountability, team development, decision making, and managing change. What You Bring Master's or PhD in Computer Science, Statistics, Applied Mathematics, Data Science, or a related quantitative field; or equivalent professional experience. 5+ years of experience in data science, machine learning, or closely related roles, ideally in a high growth tech or fintech environment. Experience in fraud prevention, risk modeling, or identity verification, including working with noisy, adversarial, or high risk data environments. Proven experience working with large, messy, real world datasets to generate insights and drive measurable business impact (not limited to pure model development). Experience working with diverse data modalities, such as tabular data, text/language, point clouds, and images, and selecting appropriate modeling approaches for each. Strong proficiency in Python and SQL, with hands on experience using major ML libraries/frameworks (e.g., PyTorch, TensorFlow, scikit learn) for model development and evaluation. Deep understanding of machine learning algorithms, model evaluation techniques (e.g., AUC, lift, calibration, stability), and data pipeline development for both batch and near real time use cases. Experience building and maintaining data pipelines and workflows in distributed or large scale environments (e.g., Spark, Airflow, Databricks, or similar technologies). Demonstrated ability to evaluate and work with third party data vendors or external datasets, including designing tests for data quality, coverage, stability, and incremental lift over existing signals. Experience with LLMs and agentic AI frameworks/infrastructure (e.g., LangChain, LangGraph, Ray) is strongly preferred; ability to design or extend agentic workflows for analytics and data quality use cases is a plus. Demonstrated ability to proactively deliver complex outcomes, lead technical workstreams, mentor others, and influence cross functional decisions without formal authority. Excellent written and verbal communication skills, with the ability to translate complex data problems and model behavior into actionable business insights for both technical and non technical audiences. Commitment to continuous learning, professional integrity, and high standards of business ethics, consistent with Socure's leadership expectations. Please note: we are unable to provide sponsorship now, or in the future. Applicants must be located in one of the following metros ( 45 miles) to be considered: New York, Miami, DC, Seattle, San Francisco. 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.
30/05/2026
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 We are seeking a highly analytical and impact-driven Senior Data Scientist to join our Data Science Data team at Socure. In this role, you will work at the intersection of data, fraud risk, and identity verification, transforming raw, complex datasets into actionable insights that directly improve our products and decisioning systems. You will own high-impact projects end to end: designing scalable data pipelines, building and evaluating models, and leading analytical deep-dives that shape how we use data to detect fraud and validate identity. You will also leverage emerging approaches, including agentic AI and LLM-powered systems, to automate data analysis, accelerate insight generation, and scale how we evaluate identity data and detect fraud patterns. This is an advanced individual-contributor role (IC4 / Senior) that requires deep technical expertise, strong business judgment, and alignment with Socure's leadership competencies, including continuous learning, effective communication, accountability, team development, decision making, and managing change. What You'll Do Design, build, and maintain scalable data pipelines and workflows to support analytics, fraud detection, model development, and ongoing data monitoring (e.g., using Spark, Airflow, or similar distributed systems). Leverage and build agentic AI and LLM-powered systems to automate data exploration, anomaly detection, vendor evaluation, and investigative workflows, increasing the speed and depth of insight generation. Build and optimize models using a variety of input data types, including tabular data, natural language, point clouds, and images, in support of fraud detection and identity verification use cases. Own data quality and integrity for critical datasets, implementing monitoring, validation checks, and anomaly detection to ensure reliable input to models and downstream decision systems. Take ownership of project outcomes from scoping through delivery, managing data quality, technical trade-offs, and timelines; proactively escrow risks and work cross-functionally to resolve challenges. Evaluate and integrate third-party data vendors and external datasets, including designing experiments to assess data quality, coverage, lift, and long term value for Socure's models and products. Collaborate closely with Product, Engineering, and Risk teams to define data requirements, shape roadmap priorities, and deliver insights that guide strategic decisions for fraud and identity products. Conduct in depth research to explore new data sources and develop novel algorithms and features that advance the state of the art in fraud detection, identity resolution, and risk scoring. Lead the end to end ML/analytics lifecycle for assigned projects: problem definition, data exploration, feature engineering, modeling, evaluation, deployment handoff, and post deployment monitoring where applicable. Present findings, trade offs, and recommendations to technical and executive stakeholders with clarity and influence, adapting communication for audiences ranging from engineers to non technical business leaders. Mentor and share knowledge with peers and junior data scientists, fostering a culture of experimentation, rapid iteration, and continuous learning aligned to Socure's leadership competencies. Stay current with advancements in AI, machine learning, and data infrastructure (including LLMs and agentic frameworks), and apply innovative techniques to real world fraud and identity problems. Model Socure's embedded leadership competencies in day to day work: continuous learning, effective communication, accountability, team development, decision making, and managing change. What You Bring Master's or PhD in Computer Science, Statistics, Applied Mathematics, Data Science, or a related quantitative field; or equivalent professional experience. 5+ years of experience in data science, machine learning, or closely related roles, ideally in a high growth tech or fintech environment. Experience in fraud prevention, risk modeling, or identity verification, including working with noisy, adversarial, or high risk data environments. Proven experience working with large, messy, real world datasets to generate insights and drive measurable business impact (not limited to pure model development). Experience working with diverse data modalities, such as tabular data, text/language, point clouds, and images, and selecting appropriate modeling approaches for each. Strong proficiency in Python and SQL, with hands on experience using major ML libraries/frameworks (e.g., PyTorch, TensorFlow, scikit learn) for model development and evaluation. Deep understanding of machine learning algorithms, model evaluation techniques (e.g., AUC, lift, calibration, stability), and data pipeline development for both batch and near real time use cases. Experience building and maintaining data pipelines and workflows in distributed or large scale environments (e.g., Spark, Airflow, Databricks, or similar technologies). Demonstrated ability to evaluate and work with third party data vendors or external datasets, including designing tests for data quality, coverage, stability, and incremental lift over existing signals. Experience with LLMs and agentic AI frameworks/infrastructure (e.g., LangChain, LangGraph, Ray) is strongly preferred; ability to design or extend agentic workflows for analytics and data quality use cases is a plus. Demonstrated ability to proactively deliver complex outcomes, lead technical workstreams, mentor others, and influence cross functional decisions without formal authority. Excellent written and verbal communication skills, with the ability to translate complex data problems and model behavior into actionable business insights for both technical and non technical audiences. Commitment to continuous learning, professional integrity, and high standards of business ethics, consistent with Socure's leadership expectations. Please note: we are unable to provide sponsorship now, or in the future. Applicants must be located in one of the following metros ( 45 miles) to be considered: New York, Miami, DC, Seattle, San Francisco. 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.
Newcastle, United Kingdom Posted on 07/05/2026 Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful and innovative technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. We are passionate about user-centred design, agile delivery, and building digital services that make a real difference. Our teams work at the forefront of innovation, helping organisations transform and deliver high-quality, scalable solutions that truly matter. Overview: We are seeking an experienced Performance Analyst (SFIA 5) to lead performance measurement and analytics across complex digital services. This role focuses on embedding data-driven decision-making, ensuring services are designed and continuously improved based on user needs and measurable outcomes. You will operate at a strategic level, defining performance standards, advising senior stakeholders, and working across multidisciplinary teams to deliver impactful digital services at scale. Key Responsibilities: Performance Leadership & Strategic Measurement Lead and embed performance analysis across complex services or delivery areas Design and implement performance measurement frameworks, including KPIs and user-focused metrics Ensure alignment with Government Digital Service (GDS) standards and best practices Establish and maintain high-quality performance analytics standards Insight Generation & Decision Support Analyse data from multiple sources (user, service, and operational data) to generate actionable insights Translate complex data into clear narratives, dashboards, and recommendations Support teams in designing and iterating services with measurable outcomes Work closely with Product Managers, Delivery Managers, User Researchers, Designers, and Data Scientists Provide guidance on measurement strategies and interpretation of results Support decision-making in complex and ambiguous environments Capability Building & Leadership Coach and mentor analysts, ensuring quality and consistency in outputs Contribute to and lead communities of practice within performance analytics Define and promote standards, tools, and best practices Required Skills & Experience: Extensive experience in performance analysis for digital services, ideally within large-scale or complex environments Strong expertise in designing performance measurement frameworks, KPIs, and user-focused metrics Proven ability to generate insights from multiple data sources and provide data-driven recommendations Strong stakeholder management and influencing skills, including engagement with senior leadership Excellent communication and data storytelling skills Advanced experience with analytical tools such as: SQL Web analytics platforms (e.g., Google Analytics) Dashboarding tools (e.g., Power BI, Looker Studio) Experience working on public sector or government digital services Experience defining performance strategies across multiple teams or programmes Experience mentoring or leading analyst teams Experience working in hybrid or distributed delivery environments Diversity & Inclusion At Scrumconnect Consulting, we believe that diversity drives innovation and better outcomes. We are committed to fostering an inclusive environment where every individual is valued, respected, and supported. We welcome applications from candidates of all backgrounds and actively encourage individuals from underrepresented groups, including women, people with disabilities, and diverse communities, as well as those seeking flexible working arrangements. As a Disability Confident Level 1 employer, we are committed to providing reasonable adjustments throughout the recruitment process and during employment to ensure equal opportunities for all.
30/05/2026
Full time
Newcastle, United Kingdom Posted on 07/05/2026 Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful and innovative technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. We are passionate about user-centred design, agile delivery, and building digital services that make a real difference. Our teams work at the forefront of innovation, helping organisations transform and deliver high-quality, scalable solutions that truly matter. Overview: We are seeking an experienced Performance Analyst (SFIA 5) to lead performance measurement and analytics across complex digital services. This role focuses on embedding data-driven decision-making, ensuring services are designed and continuously improved based on user needs and measurable outcomes. You will operate at a strategic level, defining performance standards, advising senior stakeholders, and working across multidisciplinary teams to deliver impactful digital services at scale. Key Responsibilities: Performance Leadership & Strategic Measurement Lead and embed performance analysis across complex services or delivery areas Design and implement performance measurement frameworks, including KPIs and user-focused metrics Ensure alignment with Government Digital Service (GDS) standards and best practices Establish and maintain high-quality performance analytics standards Insight Generation & Decision Support Analyse data from multiple sources (user, service, and operational data) to generate actionable insights Translate complex data into clear narratives, dashboards, and recommendations Support teams in designing and iterating services with measurable outcomes Work closely with Product Managers, Delivery Managers, User Researchers, Designers, and Data Scientists Provide guidance on measurement strategies and interpretation of results Support decision-making in complex and ambiguous environments Capability Building & Leadership Coach and mentor analysts, ensuring quality and consistency in outputs Contribute to and lead communities of practice within performance analytics Define and promote standards, tools, and best practices Required Skills & Experience: Extensive experience in performance analysis for digital services, ideally within large-scale or complex environments Strong expertise in designing performance measurement frameworks, KPIs, and user-focused metrics Proven ability to generate insights from multiple data sources and provide data-driven recommendations Strong stakeholder management and influencing skills, including engagement with senior leadership Excellent communication and data storytelling skills Advanced experience with analytical tools such as: SQL Web analytics platforms (e.g., Google Analytics) Dashboarding tools (e.g., Power BI, Looker Studio) Experience working on public sector or government digital services Experience defining performance strategies across multiple teams or programmes Experience mentoring or leading analyst teams Experience working in hybrid or distributed delivery environments Diversity & Inclusion At Scrumconnect Consulting, we believe that diversity drives innovation and better outcomes. We are committed to fostering an inclusive environment where every individual is valued, respected, and supported. We welcome applications from candidates of all backgrounds and actively encourage individuals from underrepresented groups, including women, people with disabilities, and diverse communities, as well as those seeking flexible working arrangements. As a Disability Confident Level 1 employer, we are committed to providing reasonable adjustments throughout the recruitment process and during employment to ensure equal opportunities for all.
Senior Data EngineerApplylocations: Leeds Wellington Place: Edinburgh New Uberior House Head Officetime type: Full timeposted on: Posted Todaytime left to apply: End Date: June 11, 2026 (14 days left to apply)job requisition id: 154406 End Date Wednesday 10 June 2026 Salary Range £72,702 - £80,780 We support flexible working - click here for more information on flexible working options Flexible Working Options Hybrid Working, Job Share Job Description Summary . Job Description JOB TITLE: Senior Data Engineer (3 year FTC) SALARY: £72,702 - £80,780 LOCATION(S): Edinburgh or Leeds HOURS: Full-time WORKING PATTERN : Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites. Colleagues with disabilities can be supported with workplace adjustments including hybrid working expectations in line with our Flexibility Works policy. What you'll be doing Prudential & Analytics (P&A) is on an exciting journey and there is no better a time to join us.We are pioneering the transformation of current processes from our on-premises platforms and have started our journey in deploying solutions on the Google Cloud Platform. This role sits within our platforms Analytics Lab who are looking to create strategic data products and build data and analytics capability.In this role you'll collaborate with the Software Engineers, Risk Scientists, and Business SMEs and lead other Data Engineers to design, develop, integrate and test Data Product features on the product roadmaps to meet customer needs.You'll Design, develop, maintain and continuously enhance data processes that underpin critical regulatory and prudential change, delivering high-quality solutions while shaping how others approach the work through clear leadership and oversight.You will play a key role in building modern data products, pipelines and APIs that power current and future analytics and reporting. Alongside this, you will set the standard for engineering excellence-mentoring colleagues, offering constructive feedback and creating opportunities for shared learning and growth. Working closely with the Product Owner and customers, you will help shape and prioritise the feature team backlog, applying strong problem-solving skills and sound technical judgement to assess options and define a clear, confident way forward. Why join us? We're on an exciting journey to transform our Group and the way we're shaping finance for good. We're focusing on the future, investing in our technologies, workplaces, and colleagues to make our Group a great place for everyone. What we're looking for? Passion for software and data engineering, adopting the mindset of a curious engineer A technical lead, who takes ownership of deliveries within a Feature Team and is willing to help grow and guide engineers to form successful teams. Experience with cloud technology for data solutions, particularly Google Cloud Platform Experience DBT, SQL, Python, Java or SAS and other open source technologies used in analytics is essential. Ability to understand complex business requirements and create business ready solutions Strong interpersonal, communication and influencing skills, particularly the ability to convey business information arising from technical subject matter to non-technical people. And any experience of these would be great Insights into industry solutions for data management, storage, and analytics Experience of working within regulatory change would be advantageous, including Credit Risk, capital and impairment processes. Experience of Commercial Banking Application Landscape and associated data models and data flows Experience of line management.We know that great talent comes from many backgrounds. Whilst this job advert may reference specific years of experience, we recognise that skills are developed in many ways, so if you have relevant, transferable experience, we encourage you to apply. This is a place for you: Our ambition is to be the leading UK business for diversity, equity and inclusion supporting our customers, colleagues and communities, and we're committed to creating an environment in which everyone can thrive, learn and develop. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer Initiative.We offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns. And, as a Disability Confident Leader, we guarantee interviews for a fair and proportionate number of applicants who meet the minimum criteria for the role with a disability, long-term health or neurodivergent condition through the Disability Confident Scheme. We provide reasonable adjustments throughout the recruitment process to reduce or remove barriers. Just let us know what you need.We also offer a wide-ranging benefits package, which includes: A generous pension contribution of up to 15% An annual performance-related bonus Share schemes including free shares Benefits you can adapt to your lifestyle, such as discounted shopping 30 days' holiday, with bank holidays on top A range of wellbeing initiatives and generous parental leave policiesReady to make an impact? Apply today. At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop. We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we're building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.
30/05/2026
Full time
Senior Data EngineerApplylocations: Leeds Wellington Place: Edinburgh New Uberior House Head Officetime type: Full timeposted on: Posted Todaytime left to apply: End Date: June 11, 2026 (14 days left to apply)job requisition id: 154406 End Date Wednesday 10 June 2026 Salary Range £72,702 - £80,780 We support flexible working - click here for more information on flexible working options Flexible Working Options Hybrid Working, Job Share Job Description Summary . Job Description JOB TITLE: Senior Data Engineer (3 year FTC) SALARY: £72,702 - £80,780 LOCATION(S): Edinburgh or Leeds HOURS: Full-time WORKING PATTERN : Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites. Colleagues with disabilities can be supported with workplace adjustments including hybrid working expectations in line with our Flexibility Works policy. What you'll be doing Prudential & Analytics (P&A) is on an exciting journey and there is no better a time to join us.We are pioneering the transformation of current processes from our on-premises platforms and have started our journey in deploying solutions on the Google Cloud Platform. This role sits within our platforms Analytics Lab who are looking to create strategic data products and build data and analytics capability.In this role you'll collaborate with the Software Engineers, Risk Scientists, and Business SMEs and lead other Data Engineers to design, develop, integrate and test Data Product features on the product roadmaps to meet customer needs.You'll Design, develop, maintain and continuously enhance data processes that underpin critical regulatory and prudential change, delivering high-quality solutions while shaping how others approach the work through clear leadership and oversight.You will play a key role in building modern data products, pipelines and APIs that power current and future analytics and reporting. Alongside this, you will set the standard for engineering excellence-mentoring colleagues, offering constructive feedback and creating opportunities for shared learning and growth. Working closely with the Product Owner and customers, you will help shape and prioritise the feature team backlog, applying strong problem-solving skills and sound technical judgement to assess options and define a clear, confident way forward. Why join us? We're on an exciting journey to transform our Group and the way we're shaping finance for good. We're focusing on the future, investing in our technologies, workplaces, and colleagues to make our Group a great place for everyone. What we're looking for? Passion for software and data engineering, adopting the mindset of a curious engineer A technical lead, who takes ownership of deliveries within a Feature Team and is willing to help grow and guide engineers to form successful teams. Experience with cloud technology for data solutions, particularly Google Cloud Platform Experience DBT, SQL, Python, Java or SAS and other open source technologies used in analytics is essential. Ability to understand complex business requirements and create business ready solutions Strong interpersonal, communication and influencing skills, particularly the ability to convey business information arising from technical subject matter to non-technical people. And any experience of these would be great Insights into industry solutions for data management, storage, and analytics Experience of working within regulatory change would be advantageous, including Credit Risk, capital and impairment processes. Experience of Commercial Banking Application Landscape and associated data models and data flows Experience of line management.We know that great talent comes from many backgrounds. Whilst this job advert may reference specific years of experience, we recognise that skills are developed in many ways, so if you have relevant, transferable experience, we encourage you to apply. This is a place for you: Our ambition is to be the leading UK business for diversity, equity and inclusion supporting our customers, colleagues and communities, and we're committed to creating an environment in which everyone can thrive, learn and develop. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer Initiative.We offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns. And, as a Disability Confident Leader, we guarantee interviews for a fair and proportionate number of applicants who meet the minimum criteria for the role with a disability, long-term health or neurodivergent condition through the Disability Confident Scheme. We provide reasonable adjustments throughout the recruitment process to reduce or remove barriers. Just let us know what you need.We also offer a wide-ranging benefits package, which includes: A generous pension contribution of up to 15% An annual performance-related bonus Share schemes including free shares Benefits you can adapt to your lifestyle, such as discounted shopping 30 days' holiday, with bank holidays on top A range of wellbeing initiatives and generous parental leave policiesReady to make an impact? Apply today. At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop. We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we're building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.
Do you have a passion for Data & AI? Can you combine this with strong technical, analytical and problem solving skills? Then, this early career programme could be the perfect way to start your professional career. What will I be learning? On this programme, you'll experience working in London within a Financial Services company. Over the first 1-2 weeks with us, you'll complete our award winning Simulate academy to learn and develop in a supportive environment the skills and knowledge you'll need to successfully perform the role of a Junior Data Scientist. After, you will move to the client site, helping to deliver key outcomes alongside industry professionals. What work will I be doing? As a Junior Data Scientist, you will sit at the intersection of quantitative analysis, technology, and operations. You will work closely with senior data scientists, product managers, and brokerage desks to design solutions that optimise trade lifecycle efficiency, enhance market data quality, and automate legacy workflows. Key Responsibilities: Data Pipeline Development: Build and maintain scalable data pipelines using Python and SQL to ingest, process, and store real time and historical market data. Operational Analytics: Analyse internal operational metrics (e.g., trade processing times, system latency, and STP/Straight Through Processing rates) to identify bottlenecks and operational improvements. Algorithm & Tooling Support: Assist in developing machine learning models and predictive analytics for post trade services, compliance monitoring, and data quality assurance. Cross Functional Collaboration: Partner with global sales, broking, and technology teams to understand business requirements and translate them into robust data models. Dashboarding & Reporting: Create intuitive data visualisations and automated reporting dashboards (e.g., using Tableau, Power BI, or Python based UIs) to provide actionable insights for operations management. What will I be gaining? Training in both technical and soft skills to help you develop relevant skills and knowledge in your role in our intensive Simul8 training academy. A dynamic, hybrid work environment bridging advanced AI/Technology with traditional global brokerage operations. Continuous learning opportunities regarding financial market microstructure, trade lifecycles, and institutional liquidity. Experience working at a top (financial or tech) firm early in your career. Ongoing formal and informal support and training as you develop and learn in your role. Social events, as well as community, charity, and voluntary activities with other individuals starting their careers. The potential opportunity to convert to a permanent role with the client. What are we looking for? Education: Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Finance, or a related quantitative discipline. Technical Proficiencies: Programming: Strong coding skills in Python, alongside proficiency in querying and managing data with SQL. Data Ecosystem: Familiarity with data manipulation libraries (Pandas, NumPy) and machine learning frameworks (Scikit Learn, TensorFlow, or PyTorch). Tools: Basic understanding of version control (Git) and BI/visualisation tools. Advanced Excel capabilities are highly valued for trading desk integration. Soft Skills: Exceptional analytical and problem solving capabilities, with a high degree of attention to detail and data integrity. Industry Domain: Knowledge of financial markets (Fixed Income, OTC derivatives, or FX) and an understanding of front to back trading operations are significant advantages. Benefits: Alongside your starting salary, there will be a performance review every 6 months. Ongoing training and development support through one to one coaching and access to online training services. Health cash plan coverage. Cycle to work scheme. Vantage Point Global is a fully committed Equal Opportunities, inclusive employer. We are passionate about attracting diverse talent, and welcome applications regardless of ethnicity, culture, age, gender, nationality, religion, disability, or sexual orientation. Things you need to know: To apply, you'll need to provide us with a CV and answer a few initial questions. We'd like to make you aware that if you have not heard back from us within three weeks of the date of application, we will not be progressing your application.
30/05/2026
Full time
Do you have a passion for Data & AI? Can you combine this with strong technical, analytical and problem solving skills? Then, this early career programme could be the perfect way to start your professional career. What will I be learning? On this programme, you'll experience working in London within a Financial Services company. Over the first 1-2 weeks with us, you'll complete our award winning Simulate academy to learn and develop in a supportive environment the skills and knowledge you'll need to successfully perform the role of a Junior Data Scientist. After, you will move to the client site, helping to deliver key outcomes alongside industry professionals. What work will I be doing? As a Junior Data Scientist, you will sit at the intersection of quantitative analysis, technology, and operations. You will work closely with senior data scientists, product managers, and brokerage desks to design solutions that optimise trade lifecycle efficiency, enhance market data quality, and automate legacy workflows. Key Responsibilities: Data Pipeline Development: Build and maintain scalable data pipelines using Python and SQL to ingest, process, and store real time and historical market data. Operational Analytics: Analyse internal operational metrics (e.g., trade processing times, system latency, and STP/Straight Through Processing rates) to identify bottlenecks and operational improvements. Algorithm & Tooling Support: Assist in developing machine learning models and predictive analytics for post trade services, compliance monitoring, and data quality assurance. Cross Functional Collaboration: Partner with global sales, broking, and technology teams to understand business requirements and translate them into robust data models. Dashboarding & Reporting: Create intuitive data visualisations and automated reporting dashboards (e.g., using Tableau, Power BI, or Python based UIs) to provide actionable insights for operations management. What will I be gaining? Training in both technical and soft skills to help you develop relevant skills and knowledge in your role in our intensive Simul8 training academy. A dynamic, hybrid work environment bridging advanced AI/Technology with traditional global brokerage operations. Continuous learning opportunities regarding financial market microstructure, trade lifecycles, and institutional liquidity. Experience working at a top (financial or tech) firm early in your career. Ongoing formal and informal support and training as you develop and learn in your role. Social events, as well as community, charity, and voluntary activities with other individuals starting their careers. The potential opportunity to convert to a permanent role with the client. What are we looking for? Education: Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Finance, or a related quantitative discipline. Technical Proficiencies: Programming: Strong coding skills in Python, alongside proficiency in querying and managing data with SQL. Data Ecosystem: Familiarity with data manipulation libraries (Pandas, NumPy) and machine learning frameworks (Scikit Learn, TensorFlow, or PyTorch). Tools: Basic understanding of version control (Git) and BI/visualisation tools. Advanced Excel capabilities are highly valued for trading desk integration. Soft Skills: Exceptional analytical and problem solving capabilities, with a high degree of attention to detail and data integrity. Industry Domain: Knowledge of financial markets (Fixed Income, OTC derivatives, or FX) and an understanding of front to back trading operations are significant advantages. Benefits: Alongside your starting salary, there will be a performance review every 6 months. Ongoing training and development support through one to one coaching and access to online training services. Health cash plan coverage. Cycle to work scheme. Vantage Point Global is a fully committed Equal Opportunities, inclusive employer. We are passionate about attracting diverse talent, and welcome applications regardless of ethnicity, culture, age, gender, nationality, religion, disability, or sexual orientation. Things you need to know: To apply, you'll need to provide us with a CV and answer a few initial questions. We'd like to make you aware that if you have not heard back from us within three weeks of the date of application, we will not be progressing your application.
Depop is the community-powered circular fashion marketplace where anyone can buy, sell and discover desirable secondhand fashion. With a community of over 35 million users, Depop is on a mission to make fashion circular, redefining fashion consumption. Founded in 2011, the company is headquartered in London, with offices in New York and Manchester, and in 2021 became a wholly-owned subsidiary of Etsy.Find out more at Our mission is to make fashion circular and to create an inclusive environment where everyone is welcome, no matter who they are or where they're from. Just as our platform connects people globally, we believe our workplace should reflect the diversity of the communities we serve. We thrive on the power of different perspectives and experiences, knowing they drive innovation and bring us closer to our users. We're proud to be an equal opportunity employer, providing employment opportunities without regard to age, ethnicity, religion or belief, gender identity, sex, sexual orientation, disability, pregnancy or maternity, marriage and civil partnership, or any other protected status. We're continuously evolving our recruitment processes to ensure fairness and are open to accommodating any needs you might have. If, due to a disability, you need adjustments to complete the application, please let us know by sending an email with your name, the role to which you would like to apply, and the type of support you need to complete the application to . For any other non-disability related questions, please reach out to our Talent Partners. Role We're hiring a Senior Data Engineer to work on the analytics engineering platform at Depop. You'll work on developing Airflow pipelines, the deployment of dbt models, managing data ingestion through Fivetran and developing internal tooling. You'll also help enable data scientists and ML engineers to build and deploy models on reliable infrastructure. This role will be embedded in the Analytics Engineering team, which works across all data domains and supports data scientists, ML scientists and internal stakeholders on core datasets and key reporting. Responsibilities As a Senior Data Engineer, you can expect to: Build and maintain orchestration pipelines on Astronomer (Airflow), including automated model deployment for dbt users. Design and manage data ingestion and orchestration using Fivetran at scale Contribute to the team's vision and roadmap, and lead technically complex initiatives and be responsible for their success. Enhance our engineering efficiency by developing our internal tooling, CI/CD practices, and alerts/logging. Contribute to group initiatives or peer-level initiatives to improve the data platform. Foster growth and capabilities in our less experienced engineers through coaching, and support our data consumers in building their own models. Cultivate a collaborative data culture that empowers self-serve data and model creation. Requirements A track record of building and operating production data pipelines, including working with stakeholders to define requirements and SLAs. A strong experience using batch orchestration tools like Airflow and DBT. A strong of data warehousing patterns (e.g. lakehouse and medallion), performance optimisation (Spark/Delta), and data quality monitoring. Technical authoring and architecture design experience. Lead initiatives to build and deploy data products to support data scientists, engineers and agentic analysts. Experience with cloud data warehousing (Databricks preferred), IaC and Astronomer/Airflow. Mentor and support junior engineers and partner with data scientists on data engineering projects. Additional Information PMI and cash plan healthcare access with Bupa Subsidised counselling and coaching with Self Space Cycle to Work scheme with options from Evans or the Green Commute Initiative Employee Assistance Programme (EAP) for 24/7 confidential support Mental Health First Aiders across the business for support and signposting Work/Life Balance: 25 days annual leave with option to carry over up to 5 days 1 company-wide day off per quarter Impact hours: Up to 2 days additional paid leave per year for volunteering Fully paid 4 week sabbatical after completion of 5 years of consecutive service with Depop, to give you a chance to recharge or do something you love. Flexible Working: MyMode hybrid-working model with Flex, Office Based, and Remote options role dependant All offices are dog-friendly Ability to work abroad for 4 weeks per year in UK tax treaty countries Family Life: 18 weeks of paid parental leave for full-time regular employees IVF leave, shared parental leave, and paid emergency parent/carer leave Learn + Grow: Budgets for conferences, learning subscriptions, and more Mentorship and programmes to upskill employees Your Future: Life Insurance (financial compensation of 3x your salary) Pension matching up to 6% of qualifying earnings Employees enjoy free shipping on their Depop sales within the UK. Special milestones are celebrated with gifts and rewards!
30/05/2026
Full time
Depop is the community-powered circular fashion marketplace where anyone can buy, sell and discover desirable secondhand fashion. With a community of over 35 million users, Depop is on a mission to make fashion circular, redefining fashion consumption. Founded in 2011, the company is headquartered in London, with offices in New York and Manchester, and in 2021 became a wholly-owned subsidiary of Etsy.Find out more at Our mission is to make fashion circular and to create an inclusive environment where everyone is welcome, no matter who they are or where they're from. Just as our platform connects people globally, we believe our workplace should reflect the diversity of the communities we serve. We thrive on the power of different perspectives and experiences, knowing they drive innovation and bring us closer to our users. We're proud to be an equal opportunity employer, providing employment opportunities without regard to age, ethnicity, religion or belief, gender identity, sex, sexual orientation, disability, pregnancy or maternity, marriage and civil partnership, or any other protected status. We're continuously evolving our recruitment processes to ensure fairness and are open to accommodating any needs you might have. If, due to a disability, you need adjustments to complete the application, please let us know by sending an email with your name, the role to which you would like to apply, and the type of support you need to complete the application to . For any other non-disability related questions, please reach out to our Talent Partners. Role We're hiring a Senior Data Engineer to work on the analytics engineering platform at Depop. You'll work on developing Airflow pipelines, the deployment of dbt models, managing data ingestion through Fivetran and developing internal tooling. You'll also help enable data scientists and ML engineers to build and deploy models on reliable infrastructure. This role will be embedded in the Analytics Engineering team, which works across all data domains and supports data scientists, ML scientists and internal stakeholders on core datasets and key reporting. Responsibilities As a Senior Data Engineer, you can expect to: Build and maintain orchestration pipelines on Astronomer (Airflow), including automated model deployment for dbt users. Design and manage data ingestion and orchestration using Fivetran at scale Contribute to the team's vision and roadmap, and lead technically complex initiatives and be responsible for their success. Enhance our engineering efficiency by developing our internal tooling, CI/CD practices, and alerts/logging. Contribute to group initiatives or peer-level initiatives to improve the data platform. Foster growth and capabilities in our less experienced engineers through coaching, and support our data consumers in building their own models. Cultivate a collaborative data culture that empowers self-serve data and model creation. Requirements A track record of building and operating production data pipelines, including working with stakeholders to define requirements and SLAs. A strong experience using batch orchestration tools like Airflow and DBT. A strong of data warehousing patterns (e.g. lakehouse and medallion), performance optimisation (Spark/Delta), and data quality monitoring. Technical authoring and architecture design experience. Lead initiatives to build and deploy data products to support data scientists, engineers and agentic analysts. Experience with cloud data warehousing (Databricks preferred), IaC and Astronomer/Airflow. Mentor and support junior engineers and partner with data scientists on data engineering projects. Additional Information PMI and cash plan healthcare access with Bupa Subsidised counselling and coaching with Self Space Cycle to Work scheme with options from Evans or the Green Commute Initiative Employee Assistance Programme (EAP) for 24/7 confidential support Mental Health First Aiders across the business for support and signposting Work/Life Balance: 25 days annual leave with option to carry over up to 5 days 1 company-wide day off per quarter Impact hours: Up to 2 days additional paid leave per year for volunteering Fully paid 4 week sabbatical after completion of 5 years of consecutive service with Depop, to give you a chance to recharge or do something you love. Flexible Working: MyMode hybrid-working model with Flex, Office Based, and Remote options role dependant All offices are dog-friendly Ability to work abroad for 4 weeks per year in UK tax treaty countries Family Life: 18 weeks of paid parental leave for full-time regular employees IVF leave, shared parental leave, and paid emergency parent/carer leave Learn + Grow: Budgets for conferences, learning subscriptions, and more Mentorship and programmes to upskill employees Your Future: Life Insurance (financial compensation of 3x your salary) Pension matching up to 6% of qualifying earnings Employees enjoy free shipping on their Depop sales within the UK. Special milestones are celebrated with gifts and rewards!
Senior Data EngineerApplylocations: Leeds Wellington Place: Edinburgh New Uberior House Head Officetime type: Full timeposted on: Posted Todaytime left to apply: End Date: June 11, 2026 (14 days left to apply)job requisition id: 154406 End Date Wednesday 10 June 2026 Salary Range £72,702 - £80,780 We support flexible working - click here for more information on flexible working options Flexible Working Options Hybrid Working, Job Share Job Description Summary . Job Description JOB TITLE: Senior Data Engineer (3 year FTC) SALARY: £72,702 - £80,780 LOCATION(S): Edinburgh or Leeds HOURS: Full-time WORKING PATTERN : Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites. Colleagues with disabilities can be supported with workplace adjustments including hybrid working expectations in line with our Flexibility Works policy. What you'll be doing Prudential & Analytics (P&A) is on an exciting journey and there is no better a time to join us.We are pioneering the transformation of current processes from our on-premises platforms and have started our journey in deploying solutions on the Google Cloud Platform. This role sits within our platforms Analytics Lab who are looking to create strategic data products and build data and analytics capability.In this role you'll collaborate with the Software Engineers, Risk Scientists, and Business SMEs and lead other Data Engineers to design, develop, integrate and test Data Product features on the product roadmaps to meet customer needs.You'll Design, develop, maintain and continuously enhance data processes that underpin critical regulatory and prudential change, delivering high-quality solutions while shaping how others approach the work through clear leadership and oversight.You will play a key role in building modern data products, pipelines and APIs that power current and future analytics and reporting. Alongside this, you will set the standard for engineering excellence-mentoring colleagues, offering constructive feedback and creating opportunities for shared learning and growth. Working closely with the Product Owner and customers, you will help shape and prioritise the feature team backlog, applying strong problem-solving skills and sound technical judgement to assess options and define a clear, confident way forward. Why join us? We're on an exciting journey to transform our Group and the way we're shaping finance for good. We're focusing on the future, investing in our technologies, workplaces, and colleagues to make our Group a great place for everyone. What we're looking for? Passion for software and data engineering, adopting the mindset of a curious engineer A technical lead, who takes ownership of deliveries within a Feature Team and is willing to help grow and guide engineers to form successful teams. Experience with cloud technology for data solutions, particularly Google Cloud Platform Experience DBT, SQL, Python, Java or SAS and other open source technologies used in analytics is essential. Ability to understand complex business requirements and create business ready solutions Strong interpersonal, communication and influencing skills, particularly the ability to convey business information arising from technical subject matter to non-technical people. And any experience of these would be great Insights into industry solutions for data management, storage, and analytics Experience of working within regulatory change would be advantageous, including Credit Risk, capital and impairment processes. Experience of Commercial Banking Application Landscape and associated data models and data flows Experience of line management.We know that great talent comes from many backgrounds. Whilst this job advert may reference specific years of experience, we recognise that skills are developed in many ways, so if you have relevant, transferable experience, we encourage you to apply. This is a place for you: Our ambition is to be the leading UK business for diversity, equity and inclusion supporting our customers, colleagues and communities, and we're committed to creating an environment in which everyone can thrive, learn and develop. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer Initiative.We offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns. And, as a Disability Confident Leader, we guarantee interviews for a fair and proportionate number of applicants who meet the minimum criteria for the role with a disability, long-term health or neurodivergent condition through the Disability Confident Scheme. We provide reasonable adjustments throughout the recruitment process to reduce or remove barriers. Just let us know what you need.We also offer a wide-ranging benefits package, which includes: A generous pension contribution of up to 15% An annual performance-related bonus Share schemes including free shares Benefits you can adapt to your lifestyle, such as discounted shopping 30 days' holiday, with bank holidays on top A range of wellbeing initiatives and generous parental leave policiesReady to make an impact? Apply today. At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop. We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we're building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.
30/05/2026
Full time
Senior Data EngineerApplylocations: Leeds Wellington Place: Edinburgh New Uberior House Head Officetime type: Full timeposted on: Posted Todaytime left to apply: End Date: June 11, 2026 (14 days left to apply)job requisition id: 154406 End Date Wednesday 10 June 2026 Salary Range £72,702 - £80,780 We support flexible working - click here for more information on flexible working options Flexible Working Options Hybrid Working, Job Share Job Description Summary . Job Description JOB TITLE: Senior Data Engineer (3 year FTC) SALARY: £72,702 - £80,780 LOCATION(S): Edinburgh or Leeds HOURS: Full-time WORKING PATTERN : Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites. Colleagues with disabilities can be supported with workplace adjustments including hybrid working expectations in line with our Flexibility Works policy. What you'll be doing Prudential & Analytics (P&A) is on an exciting journey and there is no better a time to join us.We are pioneering the transformation of current processes from our on-premises platforms and have started our journey in deploying solutions on the Google Cloud Platform. This role sits within our platforms Analytics Lab who are looking to create strategic data products and build data and analytics capability.In this role you'll collaborate with the Software Engineers, Risk Scientists, and Business SMEs and lead other Data Engineers to design, develop, integrate and test Data Product features on the product roadmaps to meet customer needs.You'll Design, develop, maintain and continuously enhance data processes that underpin critical regulatory and prudential change, delivering high-quality solutions while shaping how others approach the work through clear leadership and oversight.You will play a key role in building modern data products, pipelines and APIs that power current and future analytics and reporting. Alongside this, you will set the standard for engineering excellence-mentoring colleagues, offering constructive feedback and creating opportunities for shared learning and growth. Working closely with the Product Owner and customers, you will help shape and prioritise the feature team backlog, applying strong problem-solving skills and sound technical judgement to assess options and define a clear, confident way forward. Why join us? We're on an exciting journey to transform our Group and the way we're shaping finance for good. We're focusing on the future, investing in our technologies, workplaces, and colleagues to make our Group a great place for everyone. What we're looking for? Passion for software and data engineering, adopting the mindset of a curious engineer A technical lead, who takes ownership of deliveries within a Feature Team and is willing to help grow and guide engineers to form successful teams. Experience with cloud technology for data solutions, particularly Google Cloud Platform Experience DBT, SQL, Python, Java or SAS and other open source technologies used in analytics is essential. Ability to understand complex business requirements and create business ready solutions Strong interpersonal, communication and influencing skills, particularly the ability to convey business information arising from technical subject matter to non-technical people. And any experience of these would be great Insights into industry solutions for data management, storage, and analytics Experience of working within regulatory change would be advantageous, including Credit Risk, capital and impairment processes. Experience of Commercial Banking Application Landscape and associated data models and data flows Experience of line management.We know that great talent comes from many backgrounds. Whilst this job advert may reference specific years of experience, we recognise that skills are developed in many ways, so if you have relevant, transferable experience, we encourage you to apply. This is a place for you: Our ambition is to be the leading UK business for diversity, equity and inclusion supporting our customers, colleagues and communities, and we're committed to creating an environment in which everyone can thrive, learn and develop. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer Initiative.We offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns. And, as a Disability Confident Leader, we guarantee interviews for a fair and proportionate number of applicants who meet the minimum criteria for the role with a disability, long-term health or neurodivergent condition through the Disability Confident Scheme. We provide reasonable adjustments throughout the recruitment process to reduce or remove barriers. Just let us know what you need.We also offer a wide-ranging benefits package, which includes: A generous pension contribution of up to 15% An annual performance-related bonus Share schemes including free shares Benefits you can adapt to your lifestyle, such as discounted shopping 30 days' holiday, with bank holidays on top A range of wellbeing initiatives and generous parental leave policiesReady to make an impact? Apply today. At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop. We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we're building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.
Open to candidates legally eligible to work in Germany, Greece, Poland or Italy. The Purpose of the Role The External Relations (ER) department was created in February 2020 and is comprised of 3 main but complementary functions: Private fundraising, Communications and Policy & Advocacy. The ER department is three years into a 5 year ground breaking and ambitious global strategy that will improve IRC's ability to 'punch above its weight' in private income, advocacy and brand awareness. We are seeking a skilled and versatile Data Engineer to join our dynamic analytics team, which includes data scientists and analysts. In this role, you will leverage your expertise in both analytics engineering and machine learning operations (ML Ops), as well as infrastructure design and deployment, to build, maintain, and optimize the systems and tools that support our data pipelines, machine learning workflows, and business intelligence reporting. Major Responsibilities Support the entire workflow of the ER data model: data pipeline development, ELT performance, timely loading of data sets, and maintenance of data models via the use of monitoring, testing, and automation. Collaborate with analysts, data scientists, and ER stakeholders to understand the opportunities to develop well defined, integrated, production quality, and re usable data models in SQL using dbt, ensuring data quality. Collaborate with data scientists to build and automate end to end ML pipelines, from data preparation to model deployment and monitoring, including designing, implementing, and maintaining MLflow based workflows for model tracking, versioning, and deployment. Apply software engineering practices when creating new data models to ensure data quality & standardisation across our pipelines, and ML and BI tools. Employ comprehensive testing and documentation practices. Drive clear requirements documentation and contribute to code review. Identify and execute internal process improvements, including re designing infrastructure for greater scalability and automating manual processes. Act as a technical expert to the rest of the ER analytics team to mentor analysts and improve analytics engineering as a practice across all ER analytics (query development, extending data models, software development practices, PowerBI data modelling governance, ML Ops). Contribute to continuously clarifying, simplifying, and otherwise improving the conceptual foundations of ER Analytics data models; develop and maintain conceptual data model artifacts including readme level documentation, model diagrams, prototypes, change notices, etc. Collaborate with engineering team, analysts, and business users to implement new ELT pipelines, data infrastructure improvements, and integration of new ER and cross IRC data sets and other data consumption assets. Partner with the Associate Director, Analytics Engineering to evaluate data stack improvements. Support other analytics tasks as needed. Required Skills and Competencies (Minimum Criteria) Curiosity to explore complex and ambiguous problems and deliver structured analytics solutions. 4+ years working in the field of data and analytics. At least 2+ years of professional experience manipulating large scale data, using both Python and SQL (nested data structure manipulation, windowing functions, query optimisation, data partitioning techniques). Strong experience with data pipeline management technologies (e.g. Airflow, dbt), dependency checking, schema design, and dimensional data modelling. Strong experience with ML model management tools, such as MLflow. 2+ years of experience with cloud based data warehouses (Snowflake, Databricks, BigQuery, Redshift, Azure). Knowledgeable and passionate about the 'modern data stack'. Strong adherence to data ops best practices, including version control (e.g., GitHub), and data testing. Independent worker with strong attention to detail & commitment to a high standard of work product. Ability to communicate technical concepts to non technical stakeholders and translate business needs into technical requirements. Desire to work in a multi cultural environment and collaborate with people from different backgrounds and experiences. Nice to Haves Familiarity with Salesforce or similar CRM technology. Experience owning dbt in a high growth organisation, including deploying capabilities such as utils, packages, tests, snapshots, and incremental tables. Experience in Snowflake and Databricks. Exposure to Microsoft BI tooling: PowerBI, Power Query and DAX/MDX scripting language. Understanding of infrastructure as code (Terraform, CloudFormation) and CI/CD pipelines for ML/AI workflows. Experience with distributed data processing frameworks such as ApacheSpark or ApacheKafka is a plus. Working Environment Standard office working environment. This role may require working remotely full or part time, and part time remote employees may be required to share workspace. Standard Responsibilities Promote and actively participate in initiatives and efforts to build team engagement, inclusion and cohesion in the IRC London office. Foster ongoing learning, honest dialogue and reflection to strengthen safeguarding and to promote IRC values and adherence to IRC policies. Benefits and Pay Range UK: Narrowing the gender gap - flexible hours (when possible), enhanced maternity/adoption leave and pay and gender sensitive security protocols. Fixed term until June2027 with the possibility of going permanent. Pay ranges: UK £54,350 - £65,800; Germany €58,000 - €62,000. Equal Opportunities & EEO Statement IRC UK strives to be an equal opportunities employer. IRC UK is committed to equality of opportunity and to non discrimination for all job applicants and employees, and we seek to ensure we achieve diversity in our workforce regardless of gender, race, religious beliefs, nationality, ethnic/national origin, sexual orientation, age, marital status or disability. IRC UK welcomes applications from all candidates, including under represented groups and refugees who have the right to work in the UK. IRC UK will ensure that individuals with disabilities are provided with reasonable adjustments to participate in the job application and/or interview process, and for essential job functions if appointed to a role. Please note that the recruitment process will involve online screenings and interviews. For assistance, contact the IRC UK HR team.
30/05/2026
Full time
Open to candidates legally eligible to work in Germany, Greece, Poland or Italy. The Purpose of the Role The External Relations (ER) department was created in February 2020 and is comprised of 3 main but complementary functions: Private fundraising, Communications and Policy & Advocacy. The ER department is three years into a 5 year ground breaking and ambitious global strategy that will improve IRC's ability to 'punch above its weight' in private income, advocacy and brand awareness. We are seeking a skilled and versatile Data Engineer to join our dynamic analytics team, which includes data scientists and analysts. In this role, you will leverage your expertise in both analytics engineering and machine learning operations (ML Ops), as well as infrastructure design and deployment, to build, maintain, and optimize the systems and tools that support our data pipelines, machine learning workflows, and business intelligence reporting. Major Responsibilities Support the entire workflow of the ER data model: data pipeline development, ELT performance, timely loading of data sets, and maintenance of data models via the use of monitoring, testing, and automation. Collaborate with analysts, data scientists, and ER stakeholders to understand the opportunities to develop well defined, integrated, production quality, and re usable data models in SQL using dbt, ensuring data quality. Collaborate with data scientists to build and automate end to end ML pipelines, from data preparation to model deployment and monitoring, including designing, implementing, and maintaining MLflow based workflows for model tracking, versioning, and deployment. Apply software engineering practices when creating new data models to ensure data quality & standardisation across our pipelines, and ML and BI tools. Employ comprehensive testing and documentation practices. Drive clear requirements documentation and contribute to code review. Identify and execute internal process improvements, including re designing infrastructure for greater scalability and automating manual processes. Act as a technical expert to the rest of the ER analytics team to mentor analysts and improve analytics engineering as a practice across all ER analytics (query development, extending data models, software development practices, PowerBI data modelling governance, ML Ops). Contribute to continuously clarifying, simplifying, and otherwise improving the conceptual foundations of ER Analytics data models; develop and maintain conceptual data model artifacts including readme level documentation, model diagrams, prototypes, change notices, etc. Collaborate with engineering team, analysts, and business users to implement new ELT pipelines, data infrastructure improvements, and integration of new ER and cross IRC data sets and other data consumption assets. Partner with the Associate Director, Analytics Engineering to evaluate data stack improvements. Support other analytics tasks as needed. Required Skills and Competencies (Minimum Criteria) Curiosity to explore complex and ambiguous problems and deliver structured analytics solutions. 4+ years working in the field of data and analytics. At least 2+ years of professional experience manipulating large scale data, using both Python and SQL (nested data structure manipulation, windowing functions, query optimisation, data partitioning techniques). Strong experience with data pipeline management technologies (e.g. Airflow, dbt), dependency checking, schema design, and dimensional data modelling. Strong experience with ML model management tools, such as MLflow. 2+ years of experience with cloud based data warehouses (Snowflake, Databricks, BigQuery, Redshift, Azure). Knowledgeable and passionate about the 'modern data stack'. Strong adherence to data ops best practices, including version control (e.g., GitHub), and data testing. Independent worker with strong attention to detail & commitment to a high standard of work product. Ability to communicate technical concepts to non technical stakeholders and translate business needs into technical requirements. Desire to work in a multi cultural environment and collaborate with people from different backgrounds and experiences. Nice to Haves Familiarity with Salesforce or similar CRM technology. Experience owning dbt in a high growth organisation, including deploying capabilities such as utils, packages, tests, snapshots, and incremental tables. Experience in Snowflake and Databricks. Exposure to Microsoft BI tooling: PowerBI, Power Query and DAX/MDX scripting language. Understanding of infrastructure as code (Terraform, CloudFormation) and CI/CD pipelines for ML/AI workflows. Experience with distributed data processing frameworks such as ApacheSpark or ApacheKafka is a plus. Working Environment Standard office working environment. This role may require working remotely full or part time, and part time remote employees may be required to share workspace. Standard Responsibilities Promote and actively participate in initiatives and efforts to build team engagement, inclusion and cohesion in the IRC London office. Foster ongoing learning, honest dialogue and reflection to strengthen safeguarding and to promote IRC values and adherence to IRC policies. Benefits and Pay Range UK: Narrowing the gender gap - flexible hours (when possible), enhanced maternity/adoption leave and pay and gender sensitive security protocols. Fixed term until June2027 with the possibility of going permanent. Pay ranges: UK £54,350 - £65,800; Germany €58,000 - €62,000. Equal Opportunities & EEO Statement IRC UK strives to be an equal opportunities employer. IRC UK is committed to equality of opportunity and to non discrimination for all job applicants and employees, and we seek to ensure we achieve diversity in our workforce regardless of gender, race, religious beliefs, nationality, ethnic/national origin, sexual orientation, age, marital status or disability. IRC UK welcomes applications from all candidates, including under represented groups and refugees who have the right to work in the UK. IRC UK will ensure that individuals with disabilities are provided with reasonable adjustments to participate in the job application and/or interview process, and for essential job functions if appointed to a role. Please note that the recruitment process will involve online screenings and interviews. For assistance, contact the IRC UK HR team.
Join Axon and be a Force for Good. At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast-paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a key member of our research and development efforts, you will play a crucial role in advancing the state-of-the-art in Large Language Models (LLMs), Multimodal Large Language Models (MLLMs), Computer Vision and GenAI technologies for law enforcement and beyond. You will collaborate with cross-functional teams to design, develop, and deploy cutting edge LLM, MLLM, CV models and algorithms and solutions that enable intelligent reasoning, perception and understanding of multimodal data. Location Any cities with Axon Engineering Hub in US, Vietnam, EU. EU locations include Tampere, Finland; London, UK; Brussels, Belgium. Responsibilities Own one or more key technical areas across LLM, MLLM, CV product portfolio. Provide technical leadership to junior scientists, guiding the transition of R&D concepts into impactful Axon product feature. Research and develop cutting edge techniques in LLM, MLLMs, GenAI, and Computer Vision across cloud, devices and sensors based data sources. Design and implement efficient and scalable MLLM models for inference and analysis of multimodal data. Explore novel approaches to address challenges in NLP, NLU, Object Detection, Object Recognition, Object Tracking, Segmentation, and Scene Understanding. Optimize AI models, algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource constrained devices. Join forces with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures. Evaluate the performance of LLM, MLLM, CV models using real world datasets and design experiments to validate their effectiveness. Stay up to date with the latest research trends and advancements in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant findings into our projects. Contribute to patent disclosures, academic publications, and technical documentation to share insights and findings with the broader community. Experience coach and mentor junior scientists. What You Bring PhD and with +5 years for ML Scientist, +8 years for Sr. ML Scientist, years for Principal ML Scientist experience in Computer Science or a related field with a focus on LLM, MLLMs, Computer Vision, GenAI. Proven track record of research excellence in LLM, MLLM, Computer Vision, Robotics Perception, GenAI, demonstrated through publications in top tier conferences or journals. Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system. Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end to end training pipeline. Leverage state of the art research to deliver high quality models enabling multiple AI projects at scale. Contribute back to the research community via academic publications, tech blogs, open source code and contributing to internal/external AI challenges. Experience in developing computer vision algorithms for resource constrained devices such as mobile phones, IoT devices, or embedded systems is highly desirable. Excellent problem solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment. Strong communication skills and the ability to effectively present complex technical concepts to both technical and non technical audiences. Benefits that Benefit You Competitive salary and 401k with employer match. Discretionary paid time off. Paid parental leave for all. Medical, Dental, Vision plans. Fitness Programs. Emotional & Mental Wellness support. Learning & Development programs.Snacks in our offices. Location Details This role is based out of our London, UK office and follows a hybrid schedule. We rely on in person collaboration and ask that team members work onsite Tuesday through Friday, with flexibility to work remotely on Mondays. We believe connection fuels innovation, and our in office culture is designed to support meaningful teamwork and mentorship. Equal Opportunity Employment We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We're committed to hiring the best talent - regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances - and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email . Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.
30/05/2026
Full time
Join Axon and be a Force for Good. At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast-paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a key member of our research and development efforts, you will play a crucial role in advancing the state-of-the-art in Large Language Models (LLMs), Multimodal Large Language Models (MLLMs), Computer Vision and GenAI technologies for law enforcement and beyond. You will collaborate with cross-functional teams to design, develop, and deploy cutting edge LLM, MLLM, CV models and algorithms and solutions that enable intelligent reasoning, perception and understanding of multimodal data. Location Any cities with Axon Engineering Hub in US, Vietnam, EU. EU locations include Tampere, Finland; London, UK; Brussels, Belgium. Responsibilities Own one or more key technical areas across LLM, MLLM, CV product portfolio. Provide technical leadership to junior scientists, guiding the transition of R&D concepts into impactful Axon product feature. Research and develop cutting edge techniques in LLM, MLLMs, GenAI, and Computer Vision across cloud, devices and sensors based data sources. Design and implement efficient and scalable MLLM models for inference and analysis of multimodal data. Explore novel approaches to address challenges in NLP, NLU, Object Detection, Object Recognition, Object Tracking, Segmentation, and Scene Understanding. Optimize AI models, algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource constrained devices. Join forces with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures. Evaluate the performance of LLM, MLLM, CV models using real world datasets and design experiments to validate their effectiveness. Stay up to date with the latest research trends and advancements in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant findings into our projects. Contribute to patent disclosures, academic publications, and technical documentation to share insights and findings with the broader community. Experience coach and mentor junior scientists. What You Bring PhD and with +5 years for ML Scientist, +8 years for Sr. ML Scientist, years for Principal ML Scientist experience in Computer Science or a related field with a focus on LLM, MLLMs, Computer Vision, GenAI. Proven track record of research excellence in LLM, MLLM, Computer Vision, Robotics Perception, GenAI, demonstrated through publications in top tier conferences or journals. Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system. Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end to end training pipeline. Leverage state of the art research to deliver high quality models enabling multiple AI projects at scale. Contribute back to the research community via academic publications, tech blogs, open source code and contributing to internal/external AI challenges. Experience in developing computer vision algorithms for resource constrained devices such as mobile phones, IoT devices, or embedded systems is highly desirable. Excellent problem solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment. Strong communication skills and the ability to effectively present complex technical concepts to both technical and non technical audiences. Benefits that Benefit You Competitive salary and 401k with employer match. Discretionary paid time off. Paid parental leave for all. Medical, Dental, Vision plans. Fitness Programs. Emotional & Mental Wellness support. Learning & Development programs.Snacks in our offices. Location Details This role is based out of our London, UK office and follows a hybrid schedule. We rely on in person collaboration and ask that team members work onsite Tuesday through Friday, with flexibility to work remotely on Mondays. We believe connection fuels innovation, and our in office culture is designed to support meaningful teamwork and mentorship. Equal Opportunity Employment We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We're committed to hiring the best talent - regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances - and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email . Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.
About the role Depop's Trust Detection squad builds proactive, scalable detection systems that identify harmful content and user behaviour early, enabling fast, fair and effective moderation at scale. As a Senior Backend Engineer in Trust Detection you will shape, evolve and scale these detection capabilities, working closely with ML engineers, scientists and cross functional partners. Responsibilities Independently design and deliver backend solutions to medium to large problem spaces, from discovery through production and iteration. Build and evolve core detection services, pipelines, and APIs that operate at scale and under real world adversarial conditions. Work hands on with ML Engineers and ML Scientists to productionise models and improve detection pipelines, monitoring, and iteration loops. Take end to end ownership of your work, including design, implementation, testing, observability and operational support. Contribute to shaping technical direction within the team, improving system design, reliability and developer experience. Operate in an experiment led environment, helping define hypotheses, success metrics and feedback loops. Collaborate closely with Product, Fraud, Trust and Safety and other Engineering teams to ensure solutions are well scoped and well understood. Actively contribute to continuous improvement through retrospectives, post incident reviews and technical discussions. Mentor and support other engineers in the team, raising the overall quality of delivery. Qualifications Strong backend engineering fundamentals with experience independently delivering production systems. Proficiency in at least one backend language such as Scala, Java or Python, with the ability to learn new languages quickly. Experience working with data intensive systems, including designing, consuming and evolving data models across services. Experience building or operating event driven systems, such as producing and consuming events or messages in distributed architectures. Experience building scalable and reliable services and APIs. Strong sense of ownership paired with effective collaboration and communication. Comfort working in ambiguous problem spaces and proactively shaping solutions. Solid testing practices across unit and integration levels. Experience working in a DevOps oriented environment, including CI/CD and production monitoring. Helpful experience with running, maintaining or evolving ML powered systems in production. Experience in experiment led or hypothesis driven teams with strong data and insights practices. Prior work in Trust and Safety, fraud, abuse detection or moderation systems. Experience in marketplace or eCommerce environments. Hands on experience with message brokers or streaming platforms such as Kafka. Experience with Docker and Kubernetes. Familiarity with AWS infrastructure and infrastructure as code tooling. Benefits Health + Mental Wellbeing: PMI and cash plan healthcare access with Bupa, subsidised counselling and coaching with Self Space, Cycle to Work scheme and Green Commute Initiative. Employee Assistance Programme (EAP) for 24/7 confidential support and Mental Health First Aiders across the business. Work/Life Balance: 25 days annual leave (up to 5 days can be carried over) and one company wide day off per quarter. Impact hours: up to 2 days additional paid leave per year for volunteering. Fully paid 4 week sabbatical after 5 years of consecutive service with Depop. Flexible working: MyMode hybrid working model with Flex, Office Based and Remote options (role dependent) and the ability to work abroad for 4 weeks per year in UK tax treaty countries. Family Life: 18 weeks of paid parental leave for full time employees, IVF leave, shared parental leave and paid emergency parent/carer leave. Learning & Growth: budgets for conferences, learning subscriptions and other up skilling programmes. Insurance and retirement: Life Insurance (3 your salary), pension match up to 6% of qualifying earnings. Depop Extras: free shipping on Depop sales within the UK and special milestone celebrations with gifts and rewards. EEO Statement Depop is an equal opportunity employer. We provide employment opportunities without regard to age, ethnicity, religion, gender identity, sexual orientation, disability, pregnancy or maternity or any other protected status. We are open to accommodating all needs you may have. For disability accommodations, please email .
30/05/2026
Full time
About the role Depop's Trust Detection squad builds proactive, scalable detection systems that identify harmful content and user behaviour early, enabling fast, fair and effective moderation at scale. As a Senior Backend Engineer in Trust Detection you will shape, evolve and scale these detection capabilities, working closely with ML engineers, scientists and cross functional partners. Responsibilities Independently design and deliver backend solutions to medium to large problem spaces, from discovery through production and iteration. Build and evolve core detection services, pipelines, and APIs that operate at scale and under real world adversarial conditions. Work hands on with ML Engineers and ML Scientists to productionise models and improve detection pipelines, monitoring, and iteration loops. Take end to end ownership of your work, including design, implementation, testing, observability and operational support. Contribute to shaping technical direction within the team, improving system design, reliability and developer experience. Operate in an experiment led environment, helping define hypotheses, success metrics and feedback loops. Collaborate closely with Product, Fraud, Trust and Safety and other Engineering teams to ensure solutions are well scoped and well understood. Actively contribute to continuous improvement through retrospectives, post incident reviews and technical discussions. Mentor and support other engineers in the team, raising the overall quality of delivery. Qualifications Strong backend engineering fundamentals with experience independently delivering production systems. Proficiency in at least one backend language such as Scala, Java or Python, with the ability to learn new languages quickly. Experience working with data intensive systems, including designing, consuming and evolving data models across services. Experience building or operating event driven systems, such as producing and consuming events or messages in distributed architectures. Experience building scalable and reliable services and APIs. Strong sense of ownership paired with effective collaboration and communication. Comfort working in ambiguous problem spaces and proactively shaping solutions. Solid testing practices across unit and integration levels. Experience working in a DevOps oriented environment, including CI/CD and production monitoring. Helpful experience with running, maintaining or evolving ML powered systems in production. Experience in experiment led or hypothesis driven teams with strong data and insights practices. Prior work in Trust and Safety, fraud, abuse detection or moderation systems. Experience in marketplace or eCommerce environments. Hands on experience with message brokers or streaming platforms such as Kafka. Experience with Docker and Kubernetes. Familiarity with AWS infrastructure and infrastructure as code tooling. Benefits Health + Mental Wellbeing: PMI and cash plan healthcare access with Bupa, subsidised counselling and coaching with Self Space, Cycle to Work scheme and Green Commute Initiative. Employee Assistance Programme (EAP) for 24/7 confidential support and Mental Health First Aiders across the business. Work/Life Balance: 25 days annual leave (up to 5 days can be carried over) and one company wide day off per quarter. Impact hours: up to 2 days additional paid leave per year for volunteering. Fully paid 4 week sabbatical after 5 years of consecutive service with Depop. Flexible working: MyMode hybrid working model with Flex, Office Based and Remote options (role dependent) and the ability to work abroad for 4 weeks per year in UK tax treaty countries. Family Life: 18 weeks of paid parental leave for full time employees, IVF leave, shared parental leave and paid emergency parent/carer leave. Learning & Growth: budgets for conferences, learning subscriptions and other up skilling programmes. Insurance and retirement: Life Insurance (3 your salary), pension match up to 6% of qualifying earnings. Depop Extras: free shipping on Depop sales within the UK and special milestone celebrations with gifts and rewards. EEO Statement Depop is an equal opportunity employer. We provide employment opportunities without regard to age, ethnicity, religion, gender identity, sexual orientation, disability, pregnancy or maternity or any other protected status. We are open to accommodating all needs you may have. For disability accommodations, please email .
Senior Applied Scientist (Computer Vision), Camera and Sensors ID lavoro: Evi Technologies Limited The Camera and Sensors team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to help build industry-leading technology with computer vision and multimodal perception models for various Amazon devices. Responsibilities Key job responsibilities: As an Applied Scientist with the Camera and Sensors team, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art with multimodal models with an emphasis on computer vision. Your work will directly impact our customers in the form of products and services that make use of Computer Vision technology. You will leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate advances for Amazon devices. A day in the life: You will support the science solution design, run experiments, research new algorithms, and find new ways of optimizing the customer experience; while setting examples for the team on good science practice and standards. Besides theoretical analysis and innovation, you will also work closely with talented engineers and scientists to put algorithms and models into practice. About the team: You will work with a team of applied scientists and software engineers locally in Cambridge, along with a broader team of principal scientists, applied scientists and software engineers across multiple global teams in the devices group. Qualifications Experience with neural deep learning methods and machine learning Experience programming in Java, C++, Python or related language Experience in applied research Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability Experience with conducting research in a corporate setting PhD, or Master's degree Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
30/05/2026
Full time
Senior Applied Scientist (Computer Vision), Camera and Sensors ID lavoro: Evi Technologies Limited The Camera and Sensors team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to help build industry-leading technology with computer vision and multimodal perception models for various Amazon devices. Responsibilities Key job responsibilities: As an Applied Scientist with the Camera and Sensors team, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art with multimodal models with an emphasis on computer vision. Your work will directly impact our customers in the form of products and services that make use of Computer Vision technology. You will leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate advances for Amazon devices. A day in the life: You will support the science solution design, run experiments, research new algorithms, and find new ways of optimizing the customer experience; while setting examples for the team on good science practice and standards. Besides theoretical analysis and innovation, you will also work closely with talented engineers and scientists to put algorithms and models into practice. About the team: You will work with a team of applied scientists and software engineers locally in Cambridge, along with a broader team of principal scientists, applied scientists and software engineers across multiple global teams in the devices group. Qualifications Experience with neural deep learning methods and machine learning Experience programming in Java, C++, Python or related language Experience in applied research Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability Experience with conducting research in a corporate setting PhD, or Master's degree Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
This role offers the opportunity to shape analytics products that support decision-making across complex international markets. You will work at the intersection of data, risk, and technology, turning information into clear, actionable insights. If you enjoy building robust analytics tools and improving how data supports business outcomes, this role offers real scope to grow and innovate. As a Country Risk Analytics - Data Scientist - Associate in Country Risk Analytics team, you will help build and run analytics products that support how we understand and manage country risk across the firm. You will work hands on with data, code, and stakeholders to deliver reliable dashboards and insights that inform decisions in dynamic global environments. You will be part of a collaborative team that values clarity, ownership, and continuous improvement. Together, we focus on creating data tools that are practical, resilient, and genuinely useful for the business. Job responsibilities Design, build and enhance analytics products, including dashboards and data-driven insights Own the end-to-end lifecycle of analytics products, from development through ongoing support Maintain and improve Python code and supporting workflows to ensure reliability and clarity Monitor analytics outputs and troubleshoot issues to ensure consistent, high-quality delivery Partner with stakeholders to gather requirements and prioritise product enhancements Translate business needs into practical analytics solutions Apply best practices in version control, testing, and documentation Support the operational stability of analytics tools used by senior stakeholders Contribute to the adoption of new tools and emerging analytical capabilities Promote a culture of operational excellence and continuous improvement Required qualifications, capabilities, and skills Industry experience in data science, analytics, or a closely related discipline Strong programming capability in Python Hands-on experience building and supporting dashboards or analytics tools in a business environment Experience working with analytics and visualisation platforms such as Tableau or equivalent tools Proven ability to manage analytics products used in decision-making processes Strong problem-solving skills with the ability to diagnose and resolve technical issues Clear communication skills, with experience explaining technical topics to non-technical audiences Experience working collaboratively with multiple stakeholders Understanding of data management and governance principles Bachelor's degree or equivalent professional qualification Preferred qualifications, capabilities, and skills Experience working in a risk, finance, or regulated environment Familiarity with additional analytics or workflow tools such as Alteryx or Sigma Exposure to large-scale or complex data environments Interest in emerging analytics and artificial intelligence capabilities Experience improving or modernising existing analytics platforms
30/05/2026
Full time
This role offers the opportunity to shape analytics products that support decision-making across complex international markets. You will work at the intersection of data, risk, and technology, turning information into clear, actionable insights. If you enjoy building robust analytics tools and improving how data supports business outcomes, this role offers real scope to grow and innovate. As a Country Risk Analytics - Data Scientist - Associate in Country Risk Analytics team, you will help build and run analytics products that support how we understand and manage country risk across the firm. You will work hands on with data, code, and stakeholders to deliver reliable dashboards and insights that inform decisions in dynamic global environments. You will be part of a collaborative team that values clarity, ownership, and continuous improvement. Together, we focus on creating data tools that are practical, resilient, and genuinely useful for the business. Job responsibilities Design, build and enhance analytics products, including dashboards and data-driven insights Own the end-to-end lifecycle of analytics products, from development through ongoing support Maintain and improve Python code and supporting workflows to ensure reliability and clarity Monitor analytics outputs and troubleshoot issues to ensure consistent, high-quality delivery Partner with stakeholders to gather requirements and prioritise product enhancements Translate business needs into practical analytics solutions Apply best practices in version control, testing, and documentation Support the operational stability of analytics tools used by senior stakeholders Contribute to the adoption of new tools and emerging analytical capabilities Promote a culture of operational excellence and continuous improvement Required qualifications, capabilities, and skills Industry experience in data science, analytics, or a closely related discipline Strong programming capability in Python Hands-on experience building and supporting dashboards or analytics tools in a business environment Experience working with analytics and visualisation platforms such as Tableau or equivalent tools Proven ability to manage analytics products used in decision-making processes Strong problem-solving skills with the ability to diagnose and resolve technical issues Clear communication skills, with experience explaining technical topics to non-technical audiences Experience working collaboratively with multiple stakeholders Understanding of data management and governance principles Bachelor's degree or equivalent professional qualification Preferred qualifications, capabilities, and skills Experience working in a risk, finance, or regulated environment Familiarity with additional analytics or workflow tools such as Alteryx or Sigma Exposure to large-scale or complex data environments Interest in emerging analytics and artificial intelligence capabilities Experience improving or modernising existing analytics platforms
Senior Applied Scientist (Computer Vision), Camera and Sensors ID lavoro: Evi Technologies Limited The Camera and Sensors team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to help build industry-leading technology with computer vision and multimodal perception models for various Amazon devices. Key job responsibilities As an Applied Scientist with the Camera and Sensors team, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art with multimodal models with an emphasis on computer vision. Your work will directly impact our customers in the form of products and services that make use of Computer Vision technology. You will leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate advances for Amazon devices. A day in the life An Applied Scientist with the Camera and Sensors team you will support the science solution design, run experiments, research new algorithms, and find new ways of optimizing the customer experience; while setting examples for the team on good science practice and standards. Besides theoretical analysis and innovation, an Applied Scientist will also work closely with talented engineers and scientists to put algorithms and models into practice. About the team You will work with a team of applied scientists and software engineers locally in Cambridge, along with a broader team of principle scientists, applied scientists and software engineers across multiple global teams in the devices group. - Experience with neural deep learning methods and machine learning - Experience programming in Java, C++, Python or related language - Experience in applied research - Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability - Experience with conducting research in a corporate setting - PhD, or Master's degree Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
30/05/2026
Full time
Senior Applied Scientist (Computer Vision), Camera and Sensors ID lavoro: Evi Technologies Limited The Camera and Sensors team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to help build industry-leading technology with computer vision and multimodal perception models for various Amazon devices. Key job responsibilities As an Applied Scientist with the Camera and Sensors team, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art with multimodal models with an emphasis on computer vision. Your work will directly impact our customers in the form of products and services that make use of Computer Vision technology. You will leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate advances for Amazon devices. A day in the life An Applied Scientist with the Camera and Sensors team you will support the science solution design, run experiments, research new algorithms, and find new ways of optimizing the customer experience; while setting examples for the team on good science practice and standards. Besides theoretical analysis and innovation, an Applied Scientist will also work closely with talented engineers and scientists to put algorithms and models into practice. About the team You will work with a team of applied scientists and software engineers locally in Cambridge, along with a broader team of principle scientists, applied scientists and software engineers across multiple global teams in the devices group. - Experience with neural deep learning methods and machine learning - Experience programming in Java, C++, Python or related language - Experience in applied research - Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability - Experience with conducting research in a corporate setting - PhD, or Master's degree Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Role Purpose As a Lead Machine Learning Engineer (MLE) at Hiscox, you will shape and scale our Machine Learning Engineering capability and ensure the successful deployment and operation of ML in production. You will lead the MLE sub chapter, line manage Machine Learning Engineers, and partner closely with the Head of Data Science, the Data Science sub chapters and Platform/Group teams to enable scalable, reusable, and well governed ML solutions. You will be accountable for the MLOps platform, ensuring it is reliable, secure, and continuously evolved and for ensuring our business unit ships ML to production in a scalable way that is reusable across value streams, enabling efficient model maintenance, monitoring, and lifecycle management. Combining deep technical expertise with leadership, you will set standards, uplift capability, and enable squads to deliver robust, production grade ML systems. Responsibilities People Leadership: Manage and grow talent; set objectives, conduct performance reviews, and guide career progression for the MLE sub chapter. Foster a strong engineering culture: Promote collaboration, psychological safety, and high standards of quality and reliability. Provide coaching and mentorship: Support technical and professional development of Machine Learning Engineers. Strategic Capability Development: Define and evolve chapter strategy; align sub chapter goals with chapter and organisational objectives. Shape technical direction: Establish standards for ML engineering, deployment patterns, and MLOps. Drive upskilling and cross skilling: Build capability in production ML, platform usage, and software engineering best practices. Technical Enablement & Platform Ownership: Own and evolve the MLOps platform; ensure it is reliable, secure, and scalable. Enable scalable and reusable ML delivery: Ensure ML solutions for the business unit are deployable across value streams and efficient to operate. Lead technical spikes and proof of concepts: De risk architectural decisions and explore new tools and approaches. Governance & Standards: Ensure compliance, security, architecture, and operational standards. Define guardrails for production ML systems covering deployment, monitoring, retraining, and decommissioning in collaboration with Data Science. Collaboration & Influence: Partner closely with the Data Science sub chapters and delivery team to ensure effective handover from experimentation to production. Represent Machine Learning Engineering in strategic forums and advocate for platforms, tooling, and scalable ML practices. Qualifications Bachelor's or Master's in Computer Science, Engineering, or a related quantitative field (or equivalent experience). Experience as a Senior/Lead Machine Learning Engineer delivering production ML systems at scale. Solid understanding of core data science concepts, including supervised and unsupervised learning, feature engineering, and model evaluation. Working knowledge of statistical concepts and model evaluation techniques sufficient to review, validate, and productionise data science work. Proven line management and/or technical mentorship of engineers; building capability and setting standards. Demonstrated ownership of MLOps platforms or critical ML services, including CI/CD, model serving, monitoring, and incident management. Proven ability to design, implement, and operate technical frameworks for evaluating the commercial impact of machine learning systems in production. Effective collaboration with Data Scientists across the end to end ML lifecycle. Experience working in Agile, cross functional squads. Insurance or financial services experience is a plus but not essential. Technical Skills Strong Python in a machine learning engineering context, with solid software engineering fundamentals (OOP, testing, design patterns). Production ML systems: Experience deploying, monitoring, and maintaining ML models in live environments. Cloud & infrastructure: Hands on experience with a major cloud platform (GCP, AWS, or Azure), including containerised deployments. MLOps & CI/CD: Experience with CI/CD pipelines, Git based workflows, and Infrastructure as Code (e.g. Terraform). Operational excellence: Understanding of API operations, monitoring, logging, and reliability considerations for ML services. Data & integration: Working knowledge of SQL and integrating ML services into wider data and application ecosystems. Why Join Us? This is an opportunity to shape the future of machine learning engineering at Hiscox, build a high performing sub chapter, and influence strategic decisions, while staying close to the craft you love. You'll have the autonomy to set standards, mentor talent, and explore emerging technologies, all within a collaborative and forward thinking environment.
30/05/2026
Full time
Role Purpose As a Lead Machine Learning Engineer (MLE) at Hiscox, you will shape and scale our Machine Learning Engineering capability and ensure the successful deployment and operation of ML in production. You will lead the MLE sub chapter, line manage Machine Learning Engineers, and partner closely with the Head of Data Science, the Data Science sub chapters and Platform/Group teams to enable scalable, reusable, and well governed ML solutions. You will be accountable for the MLOps platform, ensuring it is reliable, secure, and continuously evolved and for ensuring our business unit ships ML to production in a scalable way that is reusable across value streams, enabling efficient model maintenance, monitoring, and lifecycle management. Combining deep technical expertise with leadership, you will set standards, uplift capability, and enable squads to deliver robust, production grade ML systems. Responsibilities People Leadership: Manage and grow talent; set objectives, conduct performance reviews, and guide career progression for the MLE sub chapter. Foster a strong engineering culture: Promote collaboration, psychological safety, and high standards of quality and reliability. Provide coaching and mentorship: Support technical and professional development of Machine Learning Engineers. Strategic Capability Development: Define and evolve chapter strategy; align sub chapter goals with chapter and organisational objectives. Shape technical direction: Establish standards for ML engineering, deployment patterns, and MLOps. Drive upskilling and cross skilling: Build capability in production ML, platform usage, and software engineering best practices. Technical Enablement & Platform Ownership: Own and evolve the MLOps platform; ensure it is reliable, secure, and scalable. Enable scalable and reusable ML delivery: Ensure ML solutions for the business unit are deployable across value streams and efficient to operate. Lead technical spikes and proof of concepts: De risk architectural decisions and explore new tools and approaches. Governance & Standards: Ensure compliance, security, architecture, and operational standards. Define guardrails for production ML systems covering deployment, monitoring, retraining, and decommissioning in collaboration with Data Science. Collaboration & Influence: Partner closely with the Data Science sub chapters and delivery team to ensure effective handover from experimentation to production. Represent Machine Learning Engineering in strategic forums and advocate for platforms, tooling, and scalable ML practices. Qualifications Bachelor's or Master's in Computer Science, Engineering, or a related quantitative field (or equivalent experience). Experience as a Senior/Lead Machine Learning Engineer delivering production ML systems at scale. Solid understanding of core data science concepts, including supervised and unsupervised learning, feature engineering, and model evaluation. Working knowledge of statistical concepts and model evaluation techniques sufficient to review, validate, and productionise data science work. Proven line management and/or technical mentorship of engineers; building capability and setting standards. Demonstrated ownership of MLOps platforms or critical ML services, including CI/CD, model serving, monitoring, and incident management. Proven ability to design, implement, and operate technical frameworks for evaluating the commercial impact of machine learning systems in production. Effective collaboration with Data Scientists across the end to end ML lifecycle. Experience working in Agile, cross functional squads. Insurance or financial services experience is a plus but not essential. Technical Skills Strong Python in a machine learning engineering context, with solid software engineering fundamentals (OOP, testing, design patterns). Production ML systems: Experience deploying, monitoring, and maintaining ML models in live environments. Cloud & infrastructure: Hands on experience with a major cloud platform (GCP, AWS, or Azure), including containerised deployments. MLOps & CI/CD: Experience with CI/CD pipelines, Git based workflows, and Infrastructure as Code (e.g. Terraform). Operational excellence: Understanding of API operations, monitoring, logging, and reliability considerations for ML services. Data & integration: Working knowledge of SQL and integrating ML services into wider data and application ecosystems. Why Join Us? This is an opportunity to shape the future of machine learning engineering at Hiscox, build a high performing sub chapter, and influence strategic decisions, while staying close to the craft you love. You'll have the autonomy to set standards, mentor talent, and explore emerging technologies, all within a collaborative and forward thinking environment.
Company Description Depop is the community-powered circular fashion marketplace where anyone can buy, sell and discover desirable secondhand fashion. With a community of over 35 million users, Depop is on a mission to make fashion circular, redefining fashion consumption. Founded in 2011, the company is headquartered in London, with offices in New York and Manchester, and in 2021 became a wholly-owned subsidiary of Etsy.Find out more at Our mission is to make fashion circular and to create an inclusive environment where everyone is welcome, no matter who they are or where they're from. Just as our platform connects people globally, we believe our workplace should reflect the diversity of the communities we serve. We thrive on the power of different perspectives and experiences, knowing they drive innovation and bring us closer to our users. We're proud to be an equal opportunity employer, providing employment opportunities without regard to age, ethnicity, religion or belief, gender identity, sex, sexual orientation, disability, pregnancy or maternity, marriage and civil partnership, or any other protected status. We're continuously evolving our recruitment processes to ensure fairness and are open to accommodating any needs you might have. If, due to a disability, you need adjustments to complete the application, please let us know by sending an email with your name, the role to which you would like to apply, and the type of support you need to complete the application to . For any other non-disability related questions, please reach out to our Talent Partners. Role Depop is looking for a Machine Learning Engineer to join the Recommendations team in the UK. You will work alongside ML Scientists, Backend Engineers, MLOps and other ML Engineers to build, deploy, maintain, and monitor the machine learning systems that power personalised product recommendations across key surfaces across the app. Responsibilities You will: Design and implement pipelines for training, evaluating, deploying, and monitoring retrieval models Work closely with ML Scientists to productionise recommendation models, improving reliability, latency, and observability Build and optimise embedding generation and recommendations serving Partner with backend and product teams to define integration requirements and coordinate deployments of recommendation services Help extend the recommendations ML infrastructure in collaboration with MLOps, including: Maintain high standards for operational excellence, testing, and incident response Contribute to a strong engineering culture focused on scalability, experimentation, and measurable impact Required Skills and Experience Proven experience building and deploying ML pipelines in production Experience with recommendation, retrieval, or ranking systems (e.g. two-tower models, embeddings, candidate generation) Solid understanding of ML workflows from research to production Strong ownership mindset and ability to work independently Excellent communication skills across technical and non-technical stakeholders Experience designing systems in modern cloud environments (e.g. AWS, GCP) Technologies and Tools Python ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn) ML/MLOps tooling (e.g. SageMaker, MLflow, TFServing) Spark and Databricks AWS services (e.g. IAM, S3, Redis, ECS) CI/CD tooling and best practices Streaming and batch systems (e.g. Kafka, Airflow, RabbitMQ) Additional Information Health + Mental Wellbeing PMI and cash plan healthcare access with Bupa Subsidised counselling and coaching with Self Space Cycle to Work scheme with options from Evans or the Green Commute Initiative Employee Assistance Programme (EAP) for 24/7 confidential support Mental Health First Aiders across the business for support and signposting Work/Life Balance: 25 days annual leave with option to carry over up to 5 days 1 company-wide day off per quarter Impact hours: Up to 2 days additional paid leave per year for volunteering Fully paid 4 week sabbatical after completion of 5 years of consecutive service with Depop, to give you a chance to recharge or do something you love. Flexible Working: MyMode hybrid-working model with Flex, Office Based, and Remote options role dependant All offices are dog-friendly Ability to work abroad for 4 weeks per year in UK tax treaty countries Family Life: 18 weeks of paid parental leave for full-time regular employees IVF leave, shared parental leave, and paid emergency parent/carer leave Learn + Grow: Budgets for conferences, learning subscriptions, and more Mentorship and programmes to upskill employees Your Future: Life Insurance (financial compensation of 3x your salary) Pension matching up to 6% of qualifying earnings Depop Extras: Employees enjoy free shipping on their Depop sales within the UK. Special milestones are celebrated with gifts and rewards!
30/05/2026
Full time
Company Description Depop is the community-powered circular fashion marketplace where anyone can buy, sell and discover desirable secondhand fashion. With a community of over 35 million users, Depop is on a mission to make fashion circular, redefining fashion consumption. Founded in 2011, the company is headquartered in London, with offices in New York and Manchester, and in 2021 became a wholly-owned subsidiary of Etsy.Find out more at Our mission is to make fashion circular and to create an inclusive environment where everyone is welcome, no matter who they are or where they're from. Just as our platform connects people globally, we believe our workplace should reflect the diversity of the communities we serve. We thrive on the power of different perspectives and experiences, knowing they drive innovation and bring us closer to our users. We're proud to be an equal opportunity employer, providing employment opportunities without regard to age, ethnicity, religion or belief, gender identity, sex, sexual orientation, disability, pregnancy or maternity, marriage and civil partnership, or any other protected status. We're continuously evolving our recruitment processes to ensure fairness and are open to accommodating any needs you might have. If, due to a disability, you need adjustments to complete the application, please let us know by sending an email with your name, the role to which you would like to apply, and the type of support you need to complete the application to . For any other non-disability related questions, please reach out to our Talent Partners. Role Depop is looking for a Machine Learning Engineer to join the Recommendations team in the UK. You will work alongside ML Scientists, Backend Engineers, MLOps and other ML Engineers to build, deploy, maintain, and monitor the machine learning systems that power personalised product recommendations across key surfaces across the app. Responsibilities You will: Design and implement pipelines for training, evaluating, deploying, and monitoring retrieval models Work closely with ML Scientists to productionise recommendation models, improving reliability, latency, and observability Build and optimise embedding generation and recommendations serving Partner with backend and product teams to define integration requirements and coordinate deployments of recommendation services Help extend the recommendations ML infrastructure in collaboration with MLOps, including: Maintain high standards for operational excellence, testing, and incident response Contribute to a strong engineering culture focused on scalability, experimentation, and measurable impact Required Skills and Experience Proven experience building and deploying ML pipelines in production Experience with recommendation, retrieval, or ranking systems (e.g. two-tower models, embeddings, candidate generation) Solid understanding of ML workflows from research to production Strong ownership mindset and ability to work independently Excellent communication skills across technical and non-technical stakeholders Experience designing systems in modern cloud environments (e.g. AWS, GCP) Technologies and Tools Python ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn) ML/MLOps tooling (e.g. SageMaker, MLflow, TFServing) Spark and Databricks AWS services (e.g. IAM, S3, Redis, ECS) CI/CD tooling and best practices Streaming and batch systems (e.g. Kafka, Airflow, RabbitMQ) Additional Information Health + Mental Wellbeing PMI and cash plan healthcare access with Bupa Subsidised counselling and coaching with Self Space Cycle to Work scheme with options from Evans or the Green Commute Initiative Employee Assistance Programme (EAP) for 24/7 confidential support Mental Health First Aiders across the business for support and signposting Work/Life Balance: 25 days annual leave with option to carry over up to 5 days 1 company-wide day off per quarter Impact hours: Up to 2 days additional paid leave per year for volunteering Fully paid 4 week sabbatical after completion of 5 years of consecutive service with Depop, to give you a chance to recharge or do something you love. Flexible Working: MyMode hybrid-working model with Flex, Office Based, and Remote options role dependant All offices are dog-friendly Ability to work abroad for 4 weeks per year in UK tax treaty countries Family Life: 18 weeks of paid parental leave for full-time regular employees IVF leave, shared parental leave, and paid emergency parent/carer leave Learn + Grow: Budgets for conferences, learning subscriptions, and more Mentorship and programmes to upskill employees Your Future: Life Insurance (financial compensation of 3x your salary) Pension matching up to 6% of qualifying earnings Depop Extras: Employees enjoy free shipping on their Depop sales within the UK. Special milestones are celebrated with gifts and rewards!
Transformuk is on the lookout for a Senior Data Scientist to join its Data Science team in London. This role focuses on applied AI and machine learning solutions, requiring strong technical expertise and practical experience in building and deploying models. As part of the team, you will prioritize creating reliable and explainable solutions that address real business challenges. The position offers numerous benefits, including 28 days of holiday and a robust pension scheme.
30/05/2026
Full time
Transformuk is on the lookout for a Senior Data Scientist to join its Data Science team in London. This role focuses on applied AI and machine learning solutions, requiring strong technical expertise and practical experience in building and deploying models. As part of the team, you will prioritize creating reliable and explainable solutions that address real business challenges. The position offers numerous benefits, including 28 days of holiday and a robust pension scheme.
In this role, you'll Own the execution of one or more production data science projects, translating broad problem statements into well scoped tasks and credible analytical results that meet stakeholder expectations. Design, develop, and validate novel behavioral heuristics and algorithms over EVM (and other) blockchain data to attribute on chain activity and uncover new insights. Apply advanced techniques including graph computation, statistical modeling, and machine learning to large scale on chain datasets. Identify and resolve inefficiencies in code, methodology, and workflows; ensure your work integrates cleanly into our production data and tooling stack. Clearly articulate and defend methodology and results to both technical and non technical stakeholders, maintaining alignment through consistent communication. Mentor junior team members, contribute to technical hiring, and share knowledge. Collaborate closely with peers to bring research from prototype to production. We're looking for candidates who have A PhD in computer science, machine learning, statistics, physics, mathematics, or a related technical field - or equivalent industry experience working on advanced, data intensive problems. Expert level proficiency in Python and SQL, with a track record of writing clean, testable, production quality code. Demonstrated experience applying advanced analytical techniques (e.g. graph algorithms, ML, statistical inference) to large, messy datasets. Comfort working with EVM based blockchain data, or strong evidence of the aptitude to ramp up quickly on EVM data structures and protocols. A demonstrated ability to take ownership of projects: decomposing requirements, driving them to completion, and proactively seeking clarity from stakeholders. An analytical, open minded approach to problem solving - comfortable navigating ambiguity and willing to dive into problems outside your day to day scope. Strong written and verbal communication skills, including the ability to explain complex methodology to diverse audiences. You might also have Familiarity with Databricks, DBT, Spark/PySpark, or similar large scale data platforms. Modified infrastructure as code (e.g. Terraform) or contributing to production data pipelines. Mentored junior data scientists or engineers. Knowledge of, or passion for, the cryptocurrency and blockchain space. Technologies we use Python SQL Databricks DBT PySpark / Spark Terraform AWS Postgres We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here.
30/05/2026
Full time
In this role, you'll Own the execution of one or more production data science projects, translating broad problem statements into well scoped tasks and credible analytical results that meet stakeholder expectations. Design, develop, and validate novel behavioral heuristics and algorithms over EVM (and other) blockchain data to attribute on chain activity and uncover new insights. Apply advanced techniques including graph computation, statistical modeling, and machine learning to large scale on chain datasets. Identify and resolve inefficiencies in code, methodology, and workflows; ensure your work integrates cleanly into our production data and tooling stack. Clearly articulate and defend methodology and results to both technical and non technical stakeholders, maintaining alignment through consistent communication. Mentor junior team members, contribute to technical hiring, and share knowledge. Collaborate closely with peers to bring research from prototype to production. We're looking for candidates who have A PhD in computer science, machine learning, statistics, physics, mathematics, or a related technical field - or equivalent industry experience working on advanced, data intensive problems. Expert level proficiency in Python and SQL, with a track record of writing clean, testable, production quality code. Demonstrated experience applying advanced analytical techniques (e.g. graph algorithms, ML, statistical inference) to large, messy datasets. Comfort working with EVM based blockchain data, or strong evidence of the aptitude to ramp up quickly on EVM data structures and protocols. A demonstrated ability to take ownership of projects: decomposing requirements, driving them to completion, and proactively seeking clarity from stakeholders. An analytical, open minded approach to problem solving - comfortable navigating ambiguity and willing to dive into problems outside your day to day scope. Strong written and verbal communication skills, including the ability to explain complex methodology to diverse audiences. You might also have Familiarity with Databricks, DBT, Spark/PySpark, or similar large scale data platforms. Modified infrastructure as code (e.g. Terraform) or contributing to production data pipelines. Mentored junior data scientists or engineers. Knowledge of, or passion for, the cryptocurrency and blockchain space. Technologies we use Python SQL Databricks DBT PySpark / Spark Terraform AWS Postgres We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here.
About Relation Relation is an end-to-end biotech company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning to drive disease understanding-from cause to cure. This year, we embarked on an exciting dual collaboration with GSK to tackle fibrosis and osteoarthritis, while also advancing our own internal osteoporosis programme. By combining our cutting-edge ML capabilities with GSK's deep expertise in drug discovery, this partnership underscores our commitment to pioneering science and delivering impactful therapies to patients. We are rapidly scaling our technology and discovery teams, offering a unique opportunity to join one of the most innovative TechBio companies. Be part of our dynamic, interdisciplinary teams, collaborating closely to redefine the boundaries of possibility in drug discovery. Our state-of-the-art wet and dry laboratories, located in the heart of London, provide an exceptional environment to foster interdisciplinarity and turn groundbreaking ideas into impactful therapies for patients. We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. We cultivate innovation through collaboration, empowering every team member to do their best work and reach their highest potential. By joining Relation, you will become part of an exceptionally talented team with extraordinary leverage to advance the field of drug discovery. Your work will shape our culture, strategic direction, and, most importantly, impact patients' lives. The Opportunity Join the innovative Turing team, where we build computational systems that help scientists explore biological data, generate hypotheses, and reason about mechanisms of disease. As a Senior / Principal Data Scientist, you will develop and apply modern AI approaches, including large language models, agentic workflows, and data-driven evaluation systems, to accelerate scientific discovery. The Turing team sits at the intersection of machine learning, data science, and biology. We build systems that integrate diverse biomedical datasets, extract insights from the scientific literature, and support decision-making in target discovery and therapeutic development. Our work combines strong engineering, machine learning research, and deep engagement with disease biology. This role is ideal for someone excited about applying LLMs and agent-based systems to complex scientific problems, working closely with biologists, data scientists, and engineers to turn computational ideas into practical tools for discovery. Your Responsibilities Develop and deploy LLM-driven systems to support scientific discovery, including literature analysis, hypothesis generation, and knowledge extraction. Design and implement agentic workflows that integrate multiple tools, models, and data sources to support biological reasoning and research workflows. Work with large, heterogeneous biomedical datasets (omics, literature, knowledge bases, and clinical data) to generate insights relevant to target discovery. Develop evaluation frameworks and benchmarks to assess the performance and reliability of AI systems in scientific contexts. Collaborate closely with biologists, computational scientists, and engineers to translate biological questions into computational solutions. Prototype and productionise data pipelines, models, and analysis workflows that support ongoing discovery programmes. Contribute to the development of new computational approaches for reasoning over biological knowledge and evidence. Professionally, You Have A PhD or equivalent experience in computational biology, machine learning, data science, or a related quantitative field. Strong practical experience working with large language models and modern AI tooling, including prompt engineering, tool use, retrieval systems, or agent-based architectures. Strong programming skills in Python, with experience working with large-scale datasets and modern ML tooling. Experience designing evaluation frameworks, benchmarks, or testing methodologies for machine learning systems. An understanding of biological data and the drug discovery process, or a strong motivation to work in this domain. Desirable Knowledge or Experience Experience applying LLMs or AI systems to scientific or biomedical data. Familiarity with literature mining, knowledge integration, or scientific knowledge representation. Experience building multi-step or agent-based reasoning systems. A background in computational biology, genomics, or drug discovery. Experience working in cross-disciplinary teams combining machine learning and biology. Personally, You Are A collaborative team player who enjoys working in interdisciplinary environments. A clear communicator who can translate complex ideas across computational and biological teams. Curious, pragmatic, and motivated by solving meaningful scientific problems. Excited to work on technology that can have real impact on patients. Humble, thoughtful, and eager to learn. Join us in this exciting role where your contributions will have a direct impact on advancing our understanding of genetics and disease risk, supporting our mission to get transformative medicines to patients. Together, we're not just doing research; we're setting new standards in the field of machine learning and genetics. The patient is waiting! Relation Therapeutics is a committed equal opportunities employer. RECRUITMENT AGENCIES: Please note that Relation Therapeutics does not accept unsolicited resumes from agencies. Resumes should not be forwarded to our job aliases or employees. Relation Therapeutics will not be liable for any fees associated with unsolicited CVs.
30/05/2026
Full time
About Relation Relation is an end-to-end biotech company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning to drive disease understanding-from cause to cure. This year, we embarked on an exciting dual collaboration with GSK to tackle fibrosis and osteoarthritis, while also advancing our own internal osteoporosis programme. By combining our cutting-edge ML capabilities with GSK's deep expertise in drug discovery, this partnership underscores our commitment to pioneering science and delivering impactful therapies to patients. We are rapidly scaling our technology and discovery teams, offering a unique opportunity to join one of the most innovative TechBio companies. Be part of our dynamic, interdisciplinary teams, collaborating closely to redefine the boundaries of possibility in drug discovery. Our state-of-the-art wet and dry laboratories, located in the heart of London, provide an exceptional environment to foster interdisciplinarity and turn groundbreaking ideas into impactful therapies for patients. We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. We cultivate innovation through collaboration, empowering every team member to do their best work and reach their highest potential. By joining Relation, you will become part of an exceptionally talented team with extraordinary leverage to advance the field of drug discovery. Your work will shape our culture, strategic direction, and, most importantly, impact patients' lives. The Opportunity Join the innovative Turing team, where we build computational systems that help scientists explore biological data, generate hypotheses, and reason about mechanisms of disease. As a Senior / Principal Data Scientist, you will develop and apply modern AI approaches, including large language models, agentic workflows, and data-driven evaluation systems, to accelerate scientific discovery. The Turing team sits at the intersection of machine learning, data science, and biology. We build systems that integrate diverse biomedical datasets, extract insights from the scientific literature, and support decision-making in target discovery and therapeutic development. Our work combines strong engineering, machine learning research, and deep engagement with disease biology. This role is ideal for someone excited about applying LLMs and agent-based systems to complex scientific problems, working closely with biologists, data scientists, and engineers to turn computational ideas into practical tools for discovery. Your Responsibilities Develop and deploy LLM-driven systems to support scientific discovery, including literature analysis, hypothesis generation, and knowledge extraction. Design and implement agentic workflows that integrate multiple tools, models, and data sources to support biological reasoning and research workflows. Work with large, heterogeneous biomedical datasets (omics, literature, knowledge bases, and clinical data) to generate insights relevant to target discovery. Develop evaluation frameworks and benchmarks to assess the performance and reliability of AI systems in scientific contexts. Collaborate closely with biologists, computational scientists, and engineers to translate biological questions into computational solutions. Prototype and productionise data pipelines, models, and analysis workflows that support ongoing discovery programmes. Contribute to the development of new computational approaches for reasoning over biological knowledge and evidence. Professionally, You Have A PhD or equivalent experience in computational biology, machine learning, data science, or a related quantitative field. Strong practical experience working with large language models and modern AI tooling, including prompt engineering, tool use, retrieval systems, or agent-based architectures. Strong programming skills in Python, with experience working with large-scale datasets and modern ML tooling. Experience designing evaluation frameworks, benchmarks, or testing methodologies for machine learning systems. An understanding of biological data and the drug discovery process, or a strong motivation to work in this domain. Desirable Knowledge or Experience Experience applying LLMs or AI systems to scientific or biomedical data. Familiarity with literature mining, knowledge integration, or scientific knowledge representation. Experience building multi-step or agent-based reasoning systems. A background in computational biology, genomics, or drug discovery. Experience working in cross-disciplinary teams combining machine learning and biology. Personally, You Are A collaborative team player who enjoys working in interdisciplinary environments. A clear communicator who can translate complex ideas across computational and biological teams. Curious, pragmatic, and motivated by solving meaningful scientific problems. Excited to work on technology that can have real impact on patients. Humble, thoughtful, and eager to learn. Join us in this exciting role where your contributions will have a direct impact on advancing our understanding of genetics and disease risk, supporting our mission to get transformative medicines to patients. Together, we're not just doing research; we're setting new standards in the field of machine learning and genetics. The patient is waiting! Relation Therapeutics is a committed equal opportunities employer. RECRUITMENT AGENCIES: Please note that Relation Therapeutics does not accept unsolicited resumes from agencies. Resumes should not be forwarded to our job aliases or employees. Relation Therapeutics will not be liable for any fees associated with unsolicited CVs.
