Datatech Analytics is seeking a Data Scientist to join a global leader in supply chain risk and compliance tech. Cardiff-based, hybrid work with 3 days in the office, allowing collaboration with data science, data engineering and DevOps teams. You'll build and deploy ML/NLP solutions, explore LLMs, and partner with product and engineering to deliver production-ready models across AWS and Azure, improving compliance and safety outcomes.
Oct 05, 2026
Full time
Datatech Analytics is seeking a Data Scientist to join a global leader in supply chain risk and compliance tech. Cardiff-based, hybrid work with 3 days in the office, allowing collaboration with data science, data engineering and DevOps teams. You'll build and deploy ML/NLP solutions, explore LLMs, and partner with product and engineering to deliver production-ready models across AWS and Azure, improving compliance and safety outcomes.
THE ROLE The Alan Turing Institute s Research Engineering Group work to realise cutting edge research as professionally usable software tools and to apply these to address real-world data science and modelling challenges. The Group includes a team of research software engineers and research data scientists. We note the considerable overlap between these emerging roles and embrace the breadth of interdisciplinary skills and diversity of approaches entailed in these fields. We are open to candidates with either a Research Data Science or Research Software Engineering background. The successful candidate will be appointed to the role that best aligns with their skills, experience and interests. In contrast to traditional research careers, we are committed expert collaborators, who join research teams to further the Institute's challenges. We create software that implements research and use it to analyse client data in a readable, reliable, and reproducible fashion. We present conclusions of research and analysis to the research community and clients through presentations, research papers , blog posts , interactive data visualisations and open-source software packages . We work with state-of-the-art, high-performance computing and cloud platforms to realise collaborators' data science and artificial intelligence research at scale. Senior team members are responsible for leading and managing the work of the team and interfacing with external PIs and collaborators. They are able to lead efforts in a hands-on manner and mentor others in their work. They have deep technical (algorithmic methods, computational tools etc) expertise in multiple areas and able to force multiply the work of others. HOW YOU WILL MAKE AN IMPACT Apply state-of-the-art and novel data science and artificial intelligence techniques emerging from the Institute and elsewhere to problems faced by the Turing s clients. Collaborate with research colleagues to develop and maintain high-quality, well-tested software embodying research outputs. Present, disseminate and explain our work via presentations, reports, and well-documented software packages. Working under clear guidance, is responsible for the delivery of 1-2 research projects or service areas involving one or two additional team members on a routine basis, ensuring successful outcomes. Supports a more senior member of the team in scoping new technical projects. Develop new projects and ways of working in conjunction with colleagues, authoring research proposals and agreeing involvement for the group in activities across the institute. Ability to mentor and support junior colleagues and provide expert technical support and guidance. ABOUT YOU Relevant industry or academic experience (for instance pursuing a PhD) in a field with significant use of both computer programming and advanced statistical or numerical methods. Fluency in one or more modern programming languages used in research in data science and artificial intelligence. Experience delivering technical research engineering work under at least one of the areas in Fundamental Research, Defence and Security, Environment and Sustainability, or a related area in National Resilience. Experience managing, structuring, analysing and visualising research data and the results of computational experiments. Evidence of the ability to coach/mentor others. Please see our portal for a full breakdown of the Job Description. TERMS AND CONDITIONS This full-time post is offered on a permanent basis. The annual salary range is £57,000 - £69,000, depending on experience. This offer includes excellent benefits package including private medical insurance, 10% employer pension contribution, flexible hybrid working and family friendly policies click here for details. APPLICATION PROCEDURE Please see our jobs portal for full details on how to apply. Equality Diversity and Inclusion We value diversity of background, experience, and perspective, and are proud to be an inclusive employer. We warmly encourage applications from all backgrounds, particularly from groups currently under-represented in our sector. If you feel passionate about this role but don t meet every single requirement, please apply we recognise that great candidates may bring strengths beyond the criteria listed .
Oct 05, 2026
Full time
THE ROLE The Alan Turing Institute s Research Engineering Group work to realise cutting edge research as professionally usable software tools and to apply these to address real-world data science and modelling challenges. The Group includes a team of research software engineers and research data scientists. We note the considerable overlap between these emerging roles and embrace the breadth of interdisciplinary skills and diversity of approaches entailed in these fields. We are open to candidates with either a Research Data Science or Research Software Engineering background. The successful candidate will be appointed to the role that best aligns with their skills, experience and interests. In contrast to traditional research careers, we are committed expert collaborators, who join research teams to further the Institute's challenges. We create software that implements research and use it to analyse client data in a readable, reliable, and reproducible fashion. We present conclusions of research and analysis to the research community and clients through presentations, research papers , blog posts , interactive data visualisations and open-source software packages . We work with state-of-the-art, high-performance computing and cloud platforms to realise collaborators' data science and artificial intelligence research at scale. Senior team members are responsible for leading and managing the work of the team and interfacing with external PIs and collaborators. They are able to lead efforts in a hands-on manner and mentor others in their work. They have deep technical (algorithmic methods, computational tools etc) expertise in multiple areas and able to force multiply the work of others. HOW YOU WILL MAKE AN IMPACT Apply state-of-the-art and novel data science and artificial intelligence techniques emerging from the Institute and elsewhere to problems faced by the Turing s clients. Collaborate with research colleagues to develop and maintain high-quality, well-tested software embodying research outputs. Present, disseminate and explain our work via presentations, reports, and well-documented software packages. Working under clear guidance, is responsible for the delivery of 1-2 research projects or service areas involving one or two additional team members on a routine basis, ensuring successful outcomes. Supports a more senior member of the team in scoping new technical projects. Develop new projects and ways of working in conjunction with colleagues, authoring research proposals and agreeing involvement for the group in activities across the institute. Ability to mentor and support junior colleagues and provide expert technical support and guidance. ABOUT YOU Relevant industry or academic experience (for instance pursuing a PhD) in a field with significant use of both computer programming and advanced statistical or numerical methods. Fluency in one or more modern programming languages used in research in data science and artificial intelligence. Experience delivering technical research engineering work under at least one of the areas in Fundamental Research, Defence and Security, Environment and Sustainability, or a related area in National Resilience. Experience managing, structuring, analysing and visualising research data and the results of computational experiments. Evidence of the ability to coach/mentor others. Please see our portal for a full breakdown of the Job Description. TERMS AND CONDITIONS This full-time post is offered on a permanent basis. The annual salary range is £57,000 - £69,000, depending on experience. This offer includes excellent benefits package including private medical insurance, 10% employer pension contribution, flexible hybrid working and family friendly policies click here for details. APPLICATION PROCEDURE Please see our jobs portal for full details on how to apply. Equality Diversity and Inclusion We value diversity of background, experience, and perspective, and are proud to be an inclusive employer. We warmly encourage applications from all backgrounds, particularly from groups currently under-represented in our sector. If you feel passionate about this role but don t meet every single requirement, please apply we recognise that great candidates may bring strengths beyond the criteria listed .
ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen-fast. We are looking for a highly skilled Senior Data Engineer to become part of our core Enterprise Data Engineering team. You will be a senior member of the larger AI, Data and Innovation organization, responsible for designing and expanding enterprise-level data infrastructure that enables ZoomInfo's internal teams to interact with data comprehensively. The ideal candidate has a strong background in big data processing, pipeline orchestration, and data modeling, with a proven track record of delivering scalable and high-quality data solutions in fast-paced, data-centric product environments. Given the dynamic nature of emerging technologies, this role requires an individual who excels at exploration and embraces continuous learning as core responsibilities. You'll constantly research and implement innovative solutions while integrating vast, diverse data sources into our AI applications, including our industry-leading LLM-powered systems. This role also carries production ownership: you will share on-call responsibility for the pipelines and platforms you build, and you're comfortable triaging, escalating, and driving incidents to resolution under pressure. What you'll do: Design, develop, and maintain high-performance, product-centric data pipelines using Airflow, DBT, and Python. Architect and optimize the massive-scale data warehouse and lakehouse that serves as our single source of truth for all customer data, primarily using Snowflake. Lead the integration of diverse structured and unstructured data sources (e.g., web data, third-party APIs) into our data ecosystem, ensuring high-quality and reliable ingestion. Define roadmap priorities that anticipate internal consumer needs and drive competitive advantage in data and AI capabilities. Serve as a trusted advisor to leadership on strategy, AI-readiness, and data infrastructure investment decisions. Collaborate with ML engineers, data scientists, and product managers to translate business needs into scalable data solutions that directly enhance customer value. Define, monitor, and enforce data quality SLAs across all pipelines and products, ensuring data accuracy and lineage are a top priority. Participate in a shared PagerDuty on-call rotation, responding to pipeline and platform incidents, performing root-cause analysis, and driving remediation and postmortems. Triage production issues quickly and escalation appropriately, knowing when to loop in engineering leadership, Platform engineers, adjacent teams, or business stakeholders based on severity, blast radius, and customer impact. Operate effectively amid ambiguity by making sound judgment calls and iterating with stakeholders rather than waiting for perfect clarity. Mentor and coach junior engineers, promoting best practices in code quality, data architecture, incident response, and operational excellence. Participate in architectural
Oct 05, 2026
Full time
ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen-fast. We are looking for a highly skilled Senior Data Engineer to become part of our core Enterprise Data Engineering team. You will be a senior member of the larger AI, Data and Innovation organization, responsible for designing and expanding enterprise-level data infrastructure that enables ZoomInfo's internal teams to interact with data comprehensively. The ideal candidate has a strong background in big data processing, pipeline orchestration, and data modeling, with a proven track record of delivering scalable and high-quality data solutions in fast-paced, data-centric product environments. Given the dynamic nature of emerging technologies, this role requires an individual who excels at exploration and embraces continuous learning as core responsibilities. You'll constantly research and implement innovative solutions while integrating vast, diverse data sources into our AI applications, including our industry-leading LLM-powered systems. This role also carries production ownership: you will share on-call responsibility for the pipelines and platforms you build, and you're comfortable triaging, escalating, and driving incidents to resolution under pressure. What you'll do: Design, develop, and maintain high-performance, product-centric data pipelines using Airflow, DBT, and Python. Architect and optimize the massive-scale data warehouse and lakehouse that serves as our single source of truth for all customer data, primarily using Snowflake. Lead the integration of diverse structured and unstructured data sources (e.g., web data, third-party APIs) into our data ecosystem, ensuring high-quality and reliable ingestion. Define roadmap priorities that anticipate internal consumer needs and drive competitive advantage in data and AI capabilities. Serve as a trusted advisor to leadership on strategy, AI-readiness, and data infrastructure investment decisions. Collaborate with ML engineers, data scientists, and product managers to translate business needs into scalable data solutions that directly enhance customer value. Define, monitor, and enforce data quality SLAs across all pipelines and products, ensuring data accuracy and lineage are a top priority. Participate in a shared PagerDuty on-call rotation, responding to pipeline and platform incidents, performing root-cause analysis, and driving remediation and postmortems. Triage production issues quickly and escalation appropriately, knowing when to loop in engineering leadership, Platform engineers, adjacent teams, or business stakeholders based on severity, blast radius, and customer impact. Operate effectively amid ambiguity by making sound judgment calls and iterating with stakeholders rather than waiting for perfect clarity. Mentor and coach junior engineers, promoting best practices in code quality, data architecture, incident response, and operational excellence. Participate in architectural
Our award-winning global SaaS client is seeking an experienced, hands-on Senior Data Scientist covering International (UK and CA) run-the-business analytics and data science. You will be the sole senior owner, keeping revenue visibility, regulatory reporting, and the current model suite running. This role is a 6 Month contract, Hybrid working - potential to extend. You will work closely with product, marketing, engineering, business development, compliance, and member support. This role suits an operator who takes over existing BAU and runs it end to end with minimal hands-on support, staying reliable under real deadlines. Responsibilities Monitor the International revenue baseline across the UK and CA. Investigate anomalies and give early warning on revenue movement Support partner monitoring and escalations: new offer setup, lookalike and recommender admin, partner click-report fixes, and partner ranking changes Run email campaign and performance monitoring: anomaly investigation, re-targeting, send-failure triage, and churn-driver analysis Support experimentation and testing: experiment monitoring, reads, and promotion calls Represent analytics in forums and business reviews, and translate technical detail for business partners Maintain the current suite of production models: scheduled refreshes, retraining, and redeploys. Keep models healthy without rebuilding them Hand over models, pipelines, and reporting with monitoring and documentation to the permanent team at contract close Skills 5+ years of experience in data science and analytics, including running production models and BAU analytics Strong SQL and Python or R. Comfortable reading and maintaining an existing codebase and pipelines Hands-on experience maintaining production ML models: refresh, retrain, monitor, and troubleshoot, rather than building from scratch Working knowledge of Looker, Airflow and Google Cloud Advanced degree in a quantitative discipline (Computer Science, Mathematics, Statistics, Physics, or similar), or equivalent experience Benefits Hybrid working (3 days in the office) Award winning work environment Global Organisation Free breakfast
Oct 02, 2026
Full time
Our award-winning global SaaS client is seeking an experienced, hands-on Senior Data Scientist covering International (UK and CA) run-the-business analytics and data science. You will be the sole senior owner, keeping revenue visibility, regulatory reporting, and the current model suite running. This role is a 6 Month contract, Hybrid working - potential to extend. You will work closely with product, marketing, engineering, business development, compliance, and member support. This role suits an operator who takes over existing BAU and runs it end to end with minimal hands-on support, staying reliable under real deadlines. Responsibilities Monitor the International revenue baseline across the UK and CA. Investigate anomalies and give early warning on revenue movement Support partner monitoring and escalations: new offer setup, lookalike and recommender admin, partner click-report fixes, and partner ranking changes Run email campaign and performance monitoring: anomaly investigation, re-targeting, send-failure triage, and churn-driver analysis Support experimentation and testing: experiment monitoring, reads, and promotion calls Represent analytics in forums and business reviews, and translate technical detail for business partners Maintain the current suite of production models: scheduled refreshes, retraining, and redeploys. Keep models healthy without rebuilding them Hand over models, pipelines, and reporting with monitoring and documentation to the permanent team at contract close Skills 5+ years of experience in data science and analytics, including running production models and BAU analytics Strong SQL and Python or R. Comfortable reading and maintaining an existing codebase and pipelines Hands-on experience maintaining production ML models: refresh, retrain, monitor, and troubleshoot, rather than building from scratch Working knowledge of Looker, Airflow and Google Cloud Advanced degree in a quantitative discipline (Computer Science, Mathematics, Statistics, Physics, or similar), or equivalent experience Benefits Hybrid working (3 days in the office) Award winning work environment Global Organisation Free breakfast
A career without limits As the nation's flag carrier, we take great pride in connecting Britain with the world and the world with Britain. It's something we've been doing for over 100 years, ever since we launched the world's first international scheduled air service between London and Paris. This originality has been in our blood since day one. It's the spirit we share with the people that fly with us, our partners, and our colleagues. So, whether you are a reassuring voice on the end of a phone, a smile at the door, under a wing keeping the turbines spinning or landing us gently in far-flung places, a job at British Airways is yours to make. We know great things can happen when you're inspired to think big and bring your ambition to work every day, which is why, at British Airways the sky is never the limit. The role: Principal Data Scientist - Finance & Transformation As a senior leader within the Data & AI function, reporting to the Head of Data Delivery, the Principal Data Scientist is accountable for the end-to-end delivery and lifecycle management of high-value data science products or initiatives that support or automate decision-making across critical business areas. Operating within Agile cross-functional squads, they lead teams to scope, design, build, deploy and maintain scalable, production-ready solutions - including predictive models, optimisation engines, and decision-support tools - that integrate seamlessly with business processes and technical infrastructure. The Principal Data Scientist delivers in line with the strategic direction for data science delivery, ensures model compliance and ethical responsibility, and drives continuous improvement in team capabilities and ways of working. They also line manage and coach others to achieve their full potential, fostering a culture of collaboration, innovation and impact. What you'll do: The Principal Data Scientist has accountabilities across the full value chain and coordinates the execution of high-value data science initiatives: Manages and coaches data science teams to deliver a portfolio of data science products from scoping to delivery Scopes and documents ill-defined client needs and frames data science solutions that align with business goals Responsible for the quality and timely delivery of the data science products for an area of the business Reporting on team key performance indicators Acquires, processes and manipulates complex and large raw data to ensure high-quality inputs for models Designs, builds and trains data science products such as business models, predictive analytics tools, recommender systems, natural language processing, anomaly detection, forecasts, optimisation models and decision support systems Works with Digital teams to productionise models and deliver application front ends Translates results in to actionable recommendations Provides guidance to stakeholders on how models created can improve business outcomes Works within cross-functional business and Digital teams Oversees management, improvements to and decommissioning of existing data science products for business area to ensure they are valuable, feasible and usable Monitors industry trends and advancements in data science Ensures adherence to published frameworks in team Ensures model compliance & ethical responsibility in team Ensures best practice is followed in their team Line manages others to achieve full potential Provides ad hoc team cover on an exceptional basis Contributes to conversations on feature prioritisation and roadmap, with an understanding of the trade-off between speed vs. long-term value Communicates feature and modelling approach, trade-offs, and results with the internal team and business stakeholders The Principal Data Scientist is also accountable for ways of working fit for an Agile cross-functional development squad, including: Using Git-versioning best practices for version control Contributing and reviewing pull-requests and product / technical documentation Giving input on prioritization, team process improvements, optimizing technology choices Working independently and giving predictability on delivery timelines What you'll bring to British Airways: Can structure ill-defined business problems and support others Can communicate to large/senior groups Can effectively challenge senior colleagues Can build strong stakeholder relationship networks and set data science strategy Can coach and manage a team Leads scrum methodology and ceremonies Able to independently manage products through the lifecycle & support others Can prioritise own work Can operate in multiple DevOps roles Can lead others on a project Can manage project teams effectively using agile principles and quality assurance Can apply software engineering principles and concepts eg using Git and Python Can build and deploy production ready machine learning pipelines eg using Python Comprehensive cloud understanding Comfortable designing user interface solutions for Machine Learning applications Advanced data wrangling skills applicable to large data eg using SQL, Python Can apply advanced spreadsheet modelling to complex problems eg using Excel Able to apply a range of advanced machine learning and multivariate techniques Proficient in use of Microsoft Office, including advanced Excel and Powerpoint Skills Advanced analytical skills, including the ability to apply a range of data science and analytic techniques to quickly generate accurate business insights Able to structure business and technical problems, identify trade-offs, and propose solutions Communication of advanced technical concepts to audiences with varying levels of technical skills Managing priorities and timelines to deliver features in a timely manner that meet business requirements Collaborative team-working, giving and receiving feedback, and always seeking to improve team processes Your experience: Numerate degree or equivalent with data science components Experience of leading others in applying data science to business problems Experience in developing industrialised software, especially data science or machine learning software products (required) Experience in relevant business domains (transportation, airlines, operations, network problems) (preferred) What we offer: We believe that all the people who work with us should feel valued for the part they play. It's one of the reasons our rewards go far beyond a competitive salary. From the day you join us, you'll get access to brilliant staff travel benefits including unlimited basic and premium standby tickets on British Airways flights. You'll also receive up to 30 discounted 'Hotline' airfares per year for yourself, friends, and family. At British Airways you'll have the chance to take on new challenges and move forward in a way that feels right for you. We encourage all those who work for us to consider opportunities right across our business to help you develop and progress. We never stand still, and we don't expect our people to either. Inclusion & Diversity At British Airways we all have a part to play in creating an inclusive place to work. Diverse representation among our people is really important to us and we recognise that all our colleagues are uniquely different and bring their own originality, creativity and identity to work. Inclusion and diversity is a key driver of innovation and we're committed to creating a culture where everyone feels that they can be themselves. We're looking for people from all backgrounds and cultures to join us and be a part of our journey to become a Better BA as we continue to connect Britain with the world and the world with Britain.
Oct 02, 2026
Full time
A career without limits As the nation's flag carrier, we take great pride in connecting Britain with the world and the world with Britain. It's something we've been doing for over 100 years, ever since we launched the world's first international scheduled air service between London and Paris. This originality has been in our blood since day one. It's the spirit we share with the people that fly with us, our partners, and our colleagues. So, whether you are a reassuring voice on the end of a phone, a smile at the door, under a wing keeping the turbines spinning or landing us gently in far-flung places, a job at British Airways is yours to make. We know great things can happen when you're inspired to think big and bring your ambition to work every day, which is why, at British Airways the sky is never the limit. The role: Principal Data Scientist - Finance & Transformation As a senior leader within the Data & AI function, reporting to the Head of Data Delivery, the Principal Data Scientist is accountable for the end-to-end delivery and lifecycle management of high-value data science products or initiatives that support or automate decision-making across critical business areas. Operating within Agile cross-functional squads, they lead teams to scope, design, build, deploy and maintain scalable, production-ready solutions - including predictive models, optimisation engines, and decision-support tools - that integrate seamlessly with business processes and technical infrastructure. The Principal Data Scientist delivers in line with the strategic direction for data science delivery, ensures model compliance and ethical responsibility, and drives continuous improvement in team capabilities and ways of working. They also line manage and coach others to achieve their full potential, fostering a culture of collaboration, innovation and impact. What you'll do: The Principal Data Scientist has accountabilities across the full value chain and coordinates the execution of high-value data science initiatives: Manages and coaches data science teams to deliver a portfolio of data science products from scoping to delivery Scopes and documents ill-defined client needs and frames data science solutions that align with business goals Responsible for the quality and timely delivery of the data science products for an area of the business Reporting on team key performance indicators Acquires, processes and manipulates complex and large raw data to ensure high-quality inputs for models Designs, builds and trains data science products such as business models, predictive analytics tools, recommender systems, natural language processing, anomaly detection, forecasts, optimisation models and decision support systems Works with Digital teams to productionise models and deliver application front ends Translates results in to actionable recommendations Provides guidance to stakeholders on how models created can improve business outcomes Works within cross-functional business and Digital teams Oversees management, improvements to and decommissioning of existing data science products for business area to ensure they are valuable, feasible and usable Monitors industry trends and advancements in data science Ensures adherence to published frameworks in team Ensures model compliance & ethical responsibility in team Ensures best practice is followed in their team Line manages others to achieve full potential Provides ad hoc team cover on an exceptional basis Contributes to conversations on feature prioritisation and roadmap, with an understanding of the trade-off between speed vs. long-term value Communicates feature and modelling approach, trade-offs, and results with the internal team and business stakeholders The Principal Data Scientist is also accountable for ways of working fit for an Agile cross-functional development squad, including: Using Git-versioning best practices for version control Contributing and reviewing pull-requests and product / technical documentation Giving input on prioritization, team process improvements, optimizing technology choices Working independently and giving predictability on delivery timelines What you'll bring to British Airways: Can structure ill-defined business problems and support others Can communicate to large/senior groups Can effectively challenge senior colleagues Can build strong stakeholder relationship networks and set data science strategy Can coach and manage a team Leads scrum methodology and ceremonies Able to independently manage products through the lifecycle & support others Can prioritise own work Can operate in multiple DevOps roles Can lead others on a project Can manage project teams effectively using agile principles and quality assurance Can apply software engineering principles and concepts eg using Git and Python Can build and deploy production ready machine learning pipelines eg using Python Comprehensive cloud understanding Comfortable designing user interface solutions for Machine Learning applications Advanced data wrangling skills applicable to large data eg using SQL, Python Can apply advanced spreadsheet modelling to complex problems eg using Excel Able to apply a range of advanced machine learning and multivariate techniques Proficient in use of Microsoft Office, including advanced Excel and Powerpoint Skills Advanced analytical skills, including the ability to apply a range of data science and analytic techniques to quickly generate accurate business insights Able to structure business and technical problems, identify trade-offs, and propose solutions Communication of advanced technical concepts to audiences with varying levels of technical skills Managing priorities and timelines to deliver features in a timely manner that meet business requirements Collaborative team-working, giving and receiving feedback, and always seeking to improve team processes Your experience: Numerate degree or equivalent with data science components Experience of leading others in applying data science to business problems Experience in developing industrialised software, especially data science or machine learning software products (required) Experience in relevant business domains (transportation, airlines, operations, network problems) (preferred) What we offer: We believe that all the people who work with us should feel valued for the part they play. It's one of the reasons our rewards go far beyond a competitive salary. From the day you join us, you'll get access to brilliant staff travel benefits including unlimited basic and premium standby tickets on British Airways flights. You'll also receive up to 30 discounted 'Hotline' airfares per year for yourself, friends, and family. At British Airways you'll have the chance to take on new challenges and move forward in a way that feels right for you. We encourage all those who work for us to consider opportunities right across our business to help you develop and progress. We never stand still, and we don't expect our people to either. Inclusion & Diversity At British Airways we all have a part to play in creating an inclusive place to work. Diverse representation among our people is really important to us and we recognise that all our colleagues are uniquely different and bring their own originality, creativity and identity to work. Inclusion and diversity is a key driver of innovation and we're committed to creating a culture where everyone feels that they can be themselves. We're looking for people from all backgrounds and cultures to join us and be a part of our journey to become a Better BA as we continue to connect Britain with the world and the world with Britain.
Our client, a leading global SaaS organisation is looking for a Senior Data Analyst to work on exciting AI/ML user experience projects for a 12 month contract. Hybrid with 3 days on site. Responsibilities; Providing data sources that help build the AI/ML user experience Build and maintain scalable data pipelines for BigQuery using Cloud Composer and Airflow. Provide observability and monitoring using Monte Carlo and Looker as well as operational tools such as NewRelic and Splunk, driving reliability, data quality, data quality and robustness. Scope and plan work together with product engineering, data science and the business; support other teams for all tasks related to data tracking, collection, ingestion, quality monitoring and alerting. Experience 5+ years data analysis experience developing applications including Scala/Java and/or Python. Experience managing batching and/or streaming data pipelines and infrastructure using technologies such as GCP, Dataflow/Apache Beam, Dataproc, Spark/Flink, dbt; Working knowledge of SQL and shell scripting; Experience with Docker/k8s and "infrastructure as a code" tools such as Terraform, Salt or similar. Confident at articulating complex technical content to peers and partners across the organization via Technical Design Documents. This is a great opportunity to further your experience across technologies such as Cloud Composer, Airflow, Dataflow, Spark, Terraform & Google Cloud Platform. Benefits Hybrid working Long contract Award winning work environment
Oct 01, 2026
Full time
Our client, a leading global SaaS organisation is looking for a Senior Data Analyst to work on exciting AI/ML user experience projects for a 12 month contract. Hybrid with 3 days on site. Responsibilities; Providing data sources that help build the AI/ML user experience Build and maintain scalable data pipelines for BigQuery using Cloud Composer and Airflow. Provide observability and monitoring using Monte Carlo and Looker as well as operational tools such as NewRelic and Splunk, driving reliability, data quality, data quality and robustness. Scope and plan work together with product engineering, data science and the business; support other teams for all tasks related to data tracking, collection, ingestion, quality monitoring and alerting. Experience 5+ years data analysis experience developing applications including Scala/Java and/or Python. Experience managing batching and/or streaming data pipelines and infrastructure using technologies such as GCP, Dataflow/Apache Beam, Dataproc, Spark/Flink, dbt; Working knowledge of SQL and shell scripting; Experience with Docker/k8s and "infrastructure as a code" tools such as Terraform, Salt or similar. Confident at articulating complex technical content to peers and partners across the organization via Technical Design Documents. This is a great opportunity to further your experience across technologies such as Cloud Composer, Airflow, Dataflow, Spark, Terraform & Google Cloud Platform. Benefits Hybrid working Long contract Award winning work environment
Harnham - Data & Analytics Recruitment
Leicester, Leicestershire
I'm hiring a Senior Data Scientist to join a leading UK insurer's Pricing & Data Science function, working on innovative machine learning solutions that directly influence risk assessment, pricing, fraud detection, and commercial performance. This is a role for someone who enjoys taking models from problem definition through to deployment , working with modern ML techniques and real-world commercial challenges. 1 day/week (Leicester / London / Bexhill) £60k-£100k What you'll be doing Build and deploy predictive models across pricing, claims, fraud, and risk analytics. Engineer new data assets and rating factors to improve pricing performance. Identify and leverage new data sources to drive business value. Partner with stakeholders across Pricing, Data Science, Analytics, and Engineering teams. Own ML projects end-to-end, including EDA, deployment, monitoring, and model refreshes. What they're looking for - Proven experience delivering ML projects from concept to deployment. - Strong Python and SQL skills. - Experience with Azure ML, Git, and cloud-based analytics environments. - Strong stakeholder engagement and commercial problem-solving capability. - Passion for applying emerging ML techniques to real business problems. Why join? Work in a highly respected pricing and analytics function. Bonus scheme + £5k car allowance. Private medical cover and strong benefits package. Opportunity to work on innovative modelling and pricing challenges at scale.
Oct 01, 2026
Full time
I'm hiring a Senior Data Scientist to join a leading UK insurer's Pricing & Data Science function, working on innovative machine learning solutions that directly influence risk assessment, pricing, fraud detection, and commercial performance. This is a role for someone who enjoys taking models from problem definition through to deployment , working with modern ML techniques and real-world commercial challenges. 1 day/week (Leicester / London / Bexhill) £60k-£100k What you'll be doing Build and deploy predictive models across pricing, claims, fraud, and risk analytics. Engineer new data assets and rating factors to improve pricing performance. Identify and leverage new data sources to drive business value. Partner with stakeholders across Pricing, Data Science, Analytics, and Engineering teams. Own ML projects end-to-end, including EDA, deployment, monitoring, and model refreshes. What they're looking for - Proven experience delivering ML projects from concept to deployment. - Strong Python and SQL skills. - Experience with Azure ML, Git, and cloud-based analytics environments. - Strong stakeholder engagement and commercial problem-solving capability. - Passion for applying emerging ML techniques to real business problems. Why join? Work in a highly respected pricing and analytics function. Bonus scheme + £5k car allowance. Private medical cover and strong benefits package. Opportunity to work on innovative modelling and pricing challenges at scale.
Stantec Consulting International Ltd.
Reading, Berkshire
Do you thrive on solving complex challenges, uncovering insights, and driving innovation with advanced analytics? If so, we could have the perfect opportunity for you! We're seeking a Principal Data Scientist to join our award-winning digital team at Stantec. You will be working alongside leading Analysts and Data Engineering experts to transform how we and our clients harness data. As a key member of our team, you'll play a critical role in shaping digital strategies, particularly within the water sector; helping clients optimize their assets, plan smarter investments, and improve environmental outcomes through cutting-edge analytics. This role can be based from either our High Wycombe, London, Reading, Brighton or Southampton offices, with hybrid working allowing for a mix of in-office and home working. What You'll Be Doing Leading Data Science Initiatives - apply your expertise in data modelling, cleansing, and analytics to create innovative solutions that drive digital transformation. Deriving Powerful Insights - use predictive analytics and optimization techniques to help clients make smarter, data-driven decisions. Building Intelligent Tools - develop automated solutions that enhance efficiency and provide clear, actionable insights. Driving Digital Innovation - work with technology and data to shape digital solutions that transform industry processes. Client Collaboration & Technical Delivery - partner directly with clients in the water industry, understanding their needs, designing solutions, and delivering high-quality results. Mentoring & Team Leadership - support junior colleagues, ensuring technical excellence and professional development within the team. Shaping the Future of Our Digital Services - influence Stantec's growth by scoping proposals, contributing to technical standards, and winning new projects. About You You'll be an experienced data professional who excels in Python, with a proven ability to develop powerful data visualisations, implement machine learning models, and deploy solutions in the cloud (Azure). You understand the value of DevOps principles, version control, and integrating technical solutions seamlessly into client operations. You have a good understanding of the MS Power Platform and can incorporate it into solution designs and manage other team members to develop solutions in Power BI and Power Apps. Beyond technical skills, you'll be a proactive problem solver, an analytical thinker, and a true innovator-someone who can tell a compelling story with data and inspire change across our clients and projects. If you're ready to shape the future of digital transformation in the water sector and take your career to the next level, we'd love to hear from you! Please note that we are not offering Visa Sponsorship for this role and applicants must have an unconditional right to live and work in the UK for an indefinite period without limitation. About Stantec The Stantec community unites more than 34,000 employees working in over 450 locations across 6 continents. We have been working with our clients and communities in the UK for over 150 years. We plan, design, deliver and manage the development and infrastructure needed to support the creation of sustainable, healthy and prosperous communities. Our teams provide effective and relevant solutions, translating our clients' vision into valued consents, deliverable plans for projects and programmes, and efficient designs for delivery, based on technical excellence and deep market insights. We deal with today's challenges, but also keep a fairer, better tomorrow in sight, looking at how we deliver clean growth, support radical changes in our economy and meet the needs of future communities. Stantec provides equal employment opportunities to all qualified employees and applicants for future and current employment and prohibit discrimination on the grounds of race, colour, religion, sex, national origin, age, marital status, genetic information, disability, sexual orientation, gender identity or gender expression. We prohibit discrimination in decisions concerning recruitment, hiring, referral, promotion, compensation, fringe benefits, job training, terminations or any other condition of employment. Stantec is in compliance with laws and regulations and ensures equitable opportunities in all aspects of employment. Building an inspired, inclusive work environment that attracts, supports, and develops world class talent is a crucial key to our success. If you are excited by this role but worry that your experience doesn't exactly align, we encourage you to apply. At Stantec we want you to perform your best at every stage of the recruitment process and are committed to ensuring it is accessible to all. If you need any support or require adjustments to be made then please contact we will talk to you about how we can support you. Other Locations: London, Brighton, Reading, Southampton
Sep 30, 2026
Full time
Do you thrive on solving complex challenges, uncovering insights, and driving innovation with advanced analytics? If so, we could have the perfect opportunity for you! We're seeking a Principal Data Scientist to join our award-winning digital team at Stantec. You will be working alongside leading Analysts and Data Engineering experts to transform how we and our clients harness data. As a key member of our team, you'll play a critical role in shaping digital strategies, particularly within the water sector; helping clients optimize their assets, plan smarter investments, and improve environmental outcomes through cutting-edge analytics. This role can be based from either our High Wycombe, London, Reading, Brighton or Southampton offices, with hybrid working allowing for a mix of in-office and home working. What You'll Be Doing Leading Data Science Initiatives - apply your expertise in data modelling, cleansing, and analytics to create innovative solutions that drive digital transformation. Deriving Powerful Insights - use predictive analytics and optimization techniques to help clients make smarter, data-driven decisions. Building Intelligent Tools - develop automated solutions that enhance efficiency and provide clear, actionable insights. Driving Digital Innovation - work with technology and data to shape digital solutions that transform industry processes. Client Collaboration & Technical Delivery - partner directly with clients in the water industry, understanding their needs, designing solutions, and delivering high-quality results. Mentoring & Team Leadership - support junior colleagues, ensuring technical excellence and professional development within the team. Shaping the Future of Our Digital Services - influence Stantec's growth by scoping proposals, contributing to technical standards, and winning new projects. About You You'll be an experienced data professional who excels in Python, with a proven ability to develop powerful data visualisations, implement machine learning models, and deploy solutions in the cloud (Azure). You understand the value of DevOps principles, version control, and integrating technical solutions seamlessly into client operations. You have a good understanding of the MS Power Platform and can incorporate it into solution designs and manage other team members to develop solutions in Power BI and Power Apps. Beyond technical skills, you'll be a proactive problem solver, an analytical thinker, and a true innovator-someone who can tell a compelling story with data and inspire change across our clients and projects. If you're ready to shape the future of digital transformation in the water sector and take your career to the next level, we'd love to hear from you! Please note that we are not offering Visa Sponsorship for this role and applicants must have an unconditional right to live and work in the UK for an indefinite period without limitation. About Stantec The Stantec community unites more than 34,000 employees working in over 450 locations across 6 continents. We have been working with our clients and communities in the UK for over 150 years. We plan, design, deliver and manage the development and infrastructure needed to support the creation of sustainable, healthy and prosperous communities. Our teams provide effective and relevant solutions, translating our clients' vision into valued consents, deliverable plans for projects and programmes, and efficient designs for delivery, based on technical excellence and deep market insights. We deal with today's challenges, but also keep a fairer, better tomorrow in sight, looking at how we deliver clean growth, support radical changes in our economy and meet the needs of future communities. Stantec provides equal employment opportunities to all qualified employees and applicants for future and current employment and prohibit discrimination on the grounds of race, colour, religion, sex, national origin, age, marital status, genetic information, disability, sexual orientation, gender identity or gender expression. We prohibit discrimination in decisions concerning recruitment, hiring, referral, promotion, compensation, fringe benefits, job training, terminations or any other condition of employment. Stantec is in compliance with laws and regulations and ensures equitable opportunities in all aspects of employment. Building an inspired, inclusive work environment that attracts, supports, and develops world class talent is a crucial key to our success. If you are excited by this role but worry that your experience doesn't exactly align, we encourage you to apply. At Stantec we want you to perform your best at every stage of the recruitment process and are committed to ensuring it is accessible to all. If you need any support or require adjustments to be made then please contact we will talk to you about how we can support you. Other Locations: London, Brighton, Reading, Southampton
Senior MLOps Engineer London (Hybrid) £75,000 - £85,000 + Bonus + BenefitsThis is an opportunity to take ownership of the infrastructure powering a growing AI platform. You'll work across machine learning, NLP, and emerging AI technologies, helping build scalable systems that support real-world impact. The Company A growing AI and data consultancy helping organisations use data and machine learning to improve decision-making and deliver better outcomes. They are investing heavily in their AI platform and expanding their engineering capability. The Role Own and develop the MLOps infrastructure supporting AI services. Build and maintain orchestration pipelines using Dagster, Airflow, or Prefect. Deploy and manage ML workloads on Kubernetes and cloud platforms. Implement CI/CD, observability, and monitoring across production systems. Develop infrastructure using Terraform, Bicep, or similar IaC tools. Work closely with Data Scientists, ML Engineers, and AI teams to scale deployments. Your Skills & Experience Strong Python software engineering skills. Commercial MLOps experience in production environments. Hands-on Kubernetes expertise. Experience with workflow orchestration platforms. Infrastructure as Code and CI/CD experience. Understanding of production ML, NLP, or AI systems.
Sep 30, 2026
Full time
Senior MLOps Engineer London (Hybrid) £75,000 - £85,000 + Bonus + BenefitsThis is an opportunity to take ownership of the infrastructure powering a growing AI platform. You'll work across machine learning, NLP, and emerging AI technologies, helping build scalable systems that support real-world impact. The Company A growing AI and data consultancy helping organisations use data and machine learning to improve decision-making and deliver better outcomes. They are investing heavily in their AI platform and expanding their engineering capability. The Role Own and develop the MLOps infrastructure supporting AI services. Build and maintain orchestration pipelines using Dagster, Airflow, or Prefect. Deploy and manage ML workloads on Kubernetes and cloud platforms. Implement CI/CD, observability, and monitoring across production systems. Develop infrastructure using Terraform, Bicep, or similar IaC tools. Work closely with Data Scientists, ML Engineers, and AI teams to scale deployments. Your Skills & Experience Strong Python software engineering skills. Commercial MLOps experience in production environments. Hands-on Kubernetes expertise. Experience with workflow orchestration platforms. Infrastructure as Code and CI/CD experience. Understanding of production ML, NLP, or AI systems.
Please note visa sponsorship is not currently available for this position. We are looking for a Senior Full Stack Data Scientist to join our Data & Analytics team at ClearScore. Data Scientists play a key role in our business, driving strategy and decision-making at all levels, which ultimately benefits our users, partners, and other teams across the organisation. We are seeking a proactive, outcomes-oriented individual, ready to take on broad ownership of a range of initiatives, to join our growing Global Targeting team. Working to enhance the ClearScore user experience through improved dynamic content targeting and prioritisation, you will take end-to-end ownership of data science and machine learning solutions across a variety of use cases, business areas, and markets. Your contributions will directly support the Global Targeting mission, enabling the organisation to realise its overall strategy. ClearScore is both a free credit score and report service and the UK's leading consumer credit marketplace. ClearScore has an amazing analytical community which includes Data Analysts, Scientists and Engineers. The community works collaboratively, sharing knowledge, tools, and best practice, to ensure a landscape in which team members can develop their full potential and deliver maximum positive business impact. What you will be doing: Leading the end-to-end development of data science and machine learning solutions - from business concept through to impact evaluation - to enable a better user experience through data-driven Targeting Working closely with cross-functional stakeholders to shape how Data Science and the broader Targeting initiative can effectively support business needs to drive maximum impact Helping to set the quality bar for what we put into production: scrutinising data, features and model behaviour, and surfacing problems in our data and processes before they reach our users Identifying and implementing improvements and optimisations in our model development and management processes, driving more efficient and standardised ways of working, leading by example in what you deliver Driving the strategic utilisation of model outputs for decision making, working with the Global Targeting squad to use model outputs to change what users see Exploring new developments at the intersection of traditional Machine Learning and AI, and determining how they can be utilised effectively to drive better outcomes for our users and business Skills We'd Love You To Have A self-starter mindset: curious, collaborative, and committed to continuous learning - including the adoption of new tools as they emerge A desire to deeply understand a problem and its importance to the business before attempting to solve it, and being comfortable proactively seeking that context rather than waiting for it A strong ability to think critically about, and reason concisely with, data. A drive to understand our users, products, and how users interact with them, and to build an advanced knowledge of our data assets and how these connect to our users' financial wellbeing through the product experience Advanced Python and SQL skills, and a strong understanding of dbt and Analytics Engineering for feature engineering. In-depth knowledge of varied statistical and machine learning techniques. You're capable across the full model lifecycle, including how models get deployed and maintained effectively in a production environment Demonstrable experience of using business-domain knowledge to drive model development or derive insights from data The ability to explain the key findings from complex analysis and modelling exercises to both technical and non-technical audiences. You feel at home interacting with stakeholders from across different specialisms around the organisation We'd especially love to hear from you if you have Experience using AI tools as part of your everyday workflow, with the judgement to know what to trust, what to verify, and when the output isn't good enough. We're increasingly adopting AI tools as part of our development cycle, so an interest and knowledge of harnessing these effectively would be highly valued Experience developing or working on real-time / near real-time inference solutions and the infrastructure to support them Experience working with and deploying solutions into Databricks Experience working in a product-focussed environment, partnering closely with cross-functional teams to build and iterate quickly A good understanding of consumer lending and the key drivers of credit and affordability strategies, as well as familiarity with credit bureau data and its effective utilisation for building predictive ML models A postgraduate degree or equivalent qualification in a STEM field Why ClearScore? ClearScore is the UK's credit score and report app. We are also present in South Africa, Australia and Canada, with more than 20 million users globally and growing fast. Someone joins ClearScore every 20 seconds. We have established relationships with over 50 of the main lenders in the U.K., and have been a trusted tool for customers to manage their credit and make better financial decisions. Since October 2016 we have helped 1.8 million users take out a new credit card or loan. We are user-centric at our core and we believe in leveraging technology to enable positive financial choices. We are design-led and data-driven and we embed these behaviours in everything we do. Our company culture is a fundamental part of all we have achieved. We believe in hiring smart, driven, passionate and diverse people who are keen on having a real impact in our organisation. We trust you to manage your own time so we offer flexible work and no fixed desk hours. We don't micromanage and we believe in measuring outcomes rather than effort. We have an inclusive culture where all, regardless of seniority, are encouraged to contribute with their ideas, look after their wellbeing and actively seek opportunities for career growth. Benefits: 25 paid holidays and a "duvet day" on your birthday Hybrid Work Environment Private health and dental cover - including mental health support through Bupa GP office visits Life assurance scheme Up to 6% matched pension Regular Lunch and Learns with guest speakers Dog-friendly office Daily breakfast and free snacks Access to discounts via Cobens Extras Free sports and social clubs Continued investment into learning and development Leadership-led training In-house psychotherapist Financial coach to help you plan and achieve your goals No clock-watching culture Generous maternity and paternity plans Culture and inclusion representatives Transparent pay structure and a career growth plan Equal Opportunities ClearScore is committed to providing equal employment opportunities to all qualified individuals. As an equal opportunity employer, we are able to make reasonable adjustments to accommodate individuals with disabilities during the recruitment and selection process. If you require accommodation, please inform us in advance, and we will work with you to meet your needs. Our Hybrid Model Levels 1-5: Minimum 2 days per week in-office Level 6 and above: Minimum 3 days per week in-office We believe this structure offers the best of both worlds - the flexibility of remote work and the synergy of face-to-face collaboration. Our office days are carefully coordinated to maximise team interactions and learning/ mentorship opportunities. What This Means for You: Flexibility to manage your work and life Dedicated in-office days for team building and collaborative projects Office facilities (with plants!) designed for productive interactions Clear expectations and support for maintaining our hybrid schedule We're committed to creating an inclusive environment that accommodates diverse needs while maintaining our collaborative culture. Join us in shaping the future of work! Note: While we offer flexibility, commitment to our hybrid schedule is an important aspect of our team culture and performance expectations. Inclusion Policy We are always looking for talented individuals to join ClearScore. We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for our people. Please see our People Policy Notice at
Sep 30, 2026
Full time
Please note visa sponsorship is not currently available for this position. We are looking for a Senior Full Stack Data Scientist to join our Data & Analytics team at ClearScore. Data Scientists play a key role in our business, driving strategy and decision-making at all levels, which ultimately benefits our users, partners, and other teams across the organisation. We are seeking a proactive, outcomes-oriented individual, ready to take on broad ownership of a range of initiatives, to join our growing Global Targeting team. Working to enhance the ClearScore user experience through improved dynamic content targeting and prioritisation, you will take end-to-end ownership of data science and machine learning solutions across a variety of use cases, business areas, and markets. Your contributions will directly support the Global Targeting mission, enabling the organisation to realise its overall strategy. ClearScore is both a free credit score and report service and the UK's leading consumer credit marketplace. ClearScore has an amazing analytical community which includes Data Analysts, Scientists and Engineers. The community works collaboratively, sharing knowledge, tools, and best practice, to ensure a landscape in which team members can develop their full potential and deliver maximum positive business impact. What you will be doing: Leading the end-to-end development of data science and machine learning solutions - from business concept through to impact evaluation - to enable a better user experience through data-driven Targeting Working closely with cross-functional stakeholders to shape how Data Science and the broader Targeting initiative can effectively support business needs to drive maximum impact Helping to set the quality bar for what we put into production: scrutinising data, features and model behaviour, and surfacing problems in our data and processes before they reach our users Identifying and implementing improvements and optimisations in our model development and management processes, driving more efficient and standardised ways of working, leading by example in what you deliver Driving the strategic utilisation of model outputs for decision making, working with the Global Targeting squad to use model outputs to change what users see Exploring new developments at the intersection of traditional Machine Learning and AI, and determining how they can be utilised effectively to drive better outcomes for our users and business Skills We'd Love You To Have A self-starter mindset: curious, collaborative, and committed to continuous learning - including the adoption of new tools as they emerge A desire to deeply understand a problem and its importance to the business before attempting to solve it, and being comfortable proactively seeking that context rather than waiting for it A strong ability to think critically about, and reason concisely with, data. A drive to understand our users, products, and how users interact with them, and to build an advanced knowledge of our data assets and how these connect to our users' financial wellbeing through the product experience Advanced Python and SQL skills, and a strong understanding of dbt and Analytics Engineering for feature engineering. In-depth knowledge of varied statistical and machine learning techniques. You're capable across the full model lifecycle, including how models get deployed and maintained effectively in a production environment Demonstrable experience of using business-domain knowledge to drive model development or derive insights from data The ability to explain the key findings from complex analysis and modelling exercises to both technical and non-technical audiences. You feel at home interacting with stakeholders from across different specialisms around the organisation We'd especially love to hear from you if you have Experience using AI tools as part of your everyday workflow, with the judgement to know what to trust, what to verify, and when the output isn't good enough. We're increasingly adopting AI tools as part of our development cycle, so an interest and knowledge of harnessing these effectively would be highly valued Experience developing or working on real-time / near real-time inference solutions and the infrastructure to support them Experience working with and deploying solutions into Databricks Experience working in a product-focussed environment, partnering closely with cross-functional teams to build and iterate quickly A good understanding of consumer lending and the key drivers of credit and affordability strategies, as well as familiarity with credit bureau data and its effective utilisation for building predictive ML models A postgraduate degree or equivalent qualification in a STEM field Why ClearScore? ClearScore is the UK's credit score and report app. We are also present in South Africa, Australia and Canada, with more than 20 million users globally and growing fast. Someone joins ClearScore every 20 seconds. We have established relationships with over 50 of the main lenders in the U.K., and have been a trusted tool for customers to manage their credit and make better financial decisions. Since October 2016 we have helped 1.8 million users take out a new credit card or loan. We are user-centric at our core and we believe in leveraging technology to enable positive financial choices. We are design-led and data-driven and we embed these behaviours in everything we do. Our company culture is a fundamental part of all we have achieved. We believe in hiring smart, driven, passionate and diverse people who are keen on having a real impact in our organisation. We trust you to manage your own time so we offer flexible work and no fixed desk hours. We don't micromanage and we believe in measuring outcomes rather than effort. We have an inclusive culture where all, regardless of seniority, are encouraged to contribute with their ideas, look after their wellbeing and actively seek opportunities for career growth. Benefits: 25 paid holidays and a "duvet day" on your birthday Hybrid Work Environment Private health and dental cover - including mental health support through Bupa GP office visits Life assurance scheme Up to 6% matched pension Regular Lunch and Learns with guest speakers Dog-friendly office Daily breakfast and free snacks Access to discounts via Cobens Extras Free sports and social clubs Continued investment into learning and development Leadership-led training In-house psychotherapist Financial coach to help you plan and achieve your goals No clock-watching culture Generous maternity and paternity plans Culture and inclusion representatives Transparent pay structure and a career growth plan Equal Opportunities ClearScore is committed to providing equal employment opportunities to all qualified individuals. As an equal opportunity employer, we are able to make reasonable adjustments to accommodate individuals with disabilities during the recruitment and selection process. If you require accommodation, please inform us in advance, and we will work with you to meet your needs. Our Hybrid Model Levels 1-5: Minimum 2 days per week in-office Level 6 and above: Minimum 3 days per week in-office We believe this structure offers the best of both worlds - the flexibility of remote work and the synergy of face-to-face collaboration. Our office days are carefully coordinated to maximise team interactions and learning/ mentorship opportunities. What This Means for You: Flexibility to manage your work and life Dedicated in-office days for team building and collaborative projects Office facilities (with plants!) designed for productive interactions Clear expectations and support for maintaining our hybrid schedule We're committed to creating an inclusive environment that accommodates diverse needs while maintaining our collaborative culture. Join us in shaping the future of work! Note: While we offer flexibility, commitment to our hybrid schedule is an important aspect of our team culture and performance expectations. Inclusion Policy We are always looking for talented individuals to join ClearScore. We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for our people. Please see our People Policy Notice at
Qureight's mission is to accelerate clinical trials and ensure breakthroughs in lung and heart disease reach patients without delay. Our AI-powered data and imaging curation platform enables the analysis of clinical imaging and other healthcare data, helping our customers bring treatments to market, faster. We're looking for talented people who want their work to matter. With offices in Cambridge and London, you'll join our multidisciplinary team of clinicians, scientists, and engineers. What unites us is our open culture, continuous learning mindset, and a shared mission to help biopharma run faster, smarter trials. About the role We partner with leading pharmaceutical and biotech companies, as well as hospitals and research institutions, to unlock the value of clinical data and deliver AI-driven insights in clinical trials. We are currently scaling our data partnerships and platform capabilities to support a growing portfolio of AI models and commercial programmes. We are looking for a Project Manager to lead the management of commercial data partnerships. This role sits at the intersection of: Partnerships (hospitals, universities, biopharma) Data sourcing and acquisition Legal and governance Technical project delivery You will manage complex, high-value projects with external stakeholders. This will range from highly structured, contractually defined biopharma companies to smaller, often less well-defined data collaborations with universities and research groups. Across both, you will bring the right people into the room, set and hold the team to clear timelines, and ensure deliverables are agreed and understood on both sides. You will also play a key role in ensuring that Qureight has access to high-quality, well-structured data to train, validate, and deploy our AI models. This is a high-impact, cross-functional role requiring strong relationship management, commercial acumen, operational rigour, and comfort working across technical domains. What you will do Project manage commercial data partnerships (end-to-end) Own delivery of data partnerships from initial engagement and contracting to data transfer, ingestion and ongoing management / delivery Coordinate across external partners and internal data science, data engineering, legal, commercial and product teams Work with legal and commercial teams to ensure Qureight puts appropriate data sharing and licensing agreements in place Ensure delivery of data assets and statistical outputs aligned with: Commercial agreements Project timelines Track timelines, dependencies, and risks Enable data ingestion and readiness Work closely with technical teams to: Take guidance on what represents 'good data' Ensure data is delivered in usable formats Resolve data quality and completeness issues Support data standardisation and annotation workflows Act as the bridge between: External data providers Internal data/ML teams Support data sourcing and acquisition Support the CSO and other senior leaders to identify and secure access to datasets from: Hospitals and healthcare providers Universities and research institutions Commercial data partners Build and manage relationships with key stakeholders, including: Clinicians Researchers Technology transfer offices (TTOs) Build scalable commercial partnership processes Develop repeatable processes for: Contracting Partner onboarding Data ingestion Project delivery Help scale Qureight's data partnerships function as the company grows Proven project management experience overseeing complex, data-rich projects Proven experience supporting the delivery of commercial data projects with external partners, including pharma/biotech, hospitals / healthcare providers and universities / research organisations Strong track record of building and maintaining relationships with external commercial partners and cross-functional internal stakeholders Comfortable collaborating with legal teams and working with data sharing and licensing agreements Experience in sourcing, negotiating, or managing access to datasets Understanding of data ingestion workflows and data formats and quality challenges Ability to work effectively and cross-functionally with data science, data engineering, legal, commercial and product teams Familiarity with GxP / regulated software environments Even better if you have experience of Healthcare, biotech, medtech, or techbio environments Experience in high-growth startups or scaleups Familiarity with: Technology transfer offices (TTOs) Research collaboration agreements Exposure to: Clinical trials AI / machine learning workflows Medical imaging, biomarkers, or real-world data Experience supporting: Customer deployments Enterprise / pharma partnerships A comprehensive benefits package that includesan annual bonus plan,private medical insurance, life insurance, and acontributory pension scheme 25 days annual leave,plus bank holidays and enhanced maternity leave A diverse work environment that brings together experts in many fields, including software engineering, DevOps, data science, machine learning, quality assurance, regulatory affairs, and clinical operations. If you have any queries, please contact . Everyone is welcome at Qureight. We are an equal opportunities employer and encourage applications from all suitably qualified candidates regardless of age, disability, ethnicity, sex, gender reassignment, religion or belief, sexual orientation, marriage and civil partnership, or pregnancy and maternity. Women and other underrepresented groups may be less likely to apply for a role unless they meet all or nearly all of the requirements. If this applies to you, we still encourage you to apply - you may be a great fit, even if you don't meet every qualification. We'd love to hear from you. If you require any adjustments to the application or selection process, please let us know. We will be happy to support you.
Sep 30, 2026
Full time
Qureight's mission is to accelerate clinical trials and ensure breakthroughs in lung and heart disease reach patients without delay. Our AI-powered data and imaging curation platform enables the analysis of clinical imaging and other healthcare data, helping our customers bring treatments to market, faster. We're looking for talented people who want their work to matter. With offices in Cambridge and London, you'll join our multidisciplinary team of clinicians, scientists, and engineers. What unites us is our open culture, continuous learning mindset, and a shared mission to help biopharma run faster, smarter trials. About the role We partner with leading pharmaceutical and biotech companies, as well as hospitals and research institutions, to unlock the value of clinical data and deliver AI-driven insights in clinical trials. We are currently scaling our data partnerships and platform capabilities to support a growing portfolio of AI models and commercial programmes. We are looking for a Project Manager to lead the management of commercial data partnerships. This role sits at the intersection of: Partnerships (hospitals, universities, biopharma) Data sourcing and acquisition Legal and governance Technical project delivery You will manage complex, high-value projects with external stakeholders. This will range from highly structured, contractually defined biopharma companies to smaller, often less well-defined data collaborations with universities and research groups. Across both, you will bring the right people into the room, set and hold the team to clear timelines, and ensure deliverables are agreed and understood on both sides. You will also play a key role in ensuring that Qureight has access to high-quality, well-structured data to train, validate, and deploy our AI models. This is a high-impact, cross-functional role requiring strong relationship management, commercial acumen, operational rigour, and comfort working across technical domains. What you will do Project manage commercial data partnerships (end-to-end) Own delivery of data partnerships from initial engagement and contracting to data transfer, ingestion and ongoing management / delivery Coordinate across external partners and internal data science, data engineering, legal, commercial and product teams Work with legal and commercial teams to ensure Qureight puts appropriate data sharing and licensing agreements in place Ensure delivery of data assets and statistical outputs aligned with: Commercial agreements Project timelines Track timelines, dependencies, and risks Enable data ingestion and readiness Work closely with technical teams to: Take guidance on what represents 'good data' Ensure data is delivered in usable formats Resolve data quality and completeness issues Support data standardisation and annotation workflows Act as the bridge between: External data providers Internal data/ML teams Support data sourcing and acquisition Support the CSO and other senior leaders to identify and secure access to datasets from: Hospitals and healthcare providers Universities and research institutions Commercial data partners Build and manage relationships with key stakeholders, including: Clinicians Researchers Technology transfer offices (TTOs) Build scalable commercial partnership processes Develop repeatable processes for: Contracting Partner onboarding Data ingestion Project delivery Help scale Qureight's data partnerships function as the company grows Proven project management experience overseeing complex, data-rich projects Proven experience supporting the delivery of commercial data projects with external partners, including pharma/biotech, hospitals / healthcare providers and universities / research organisations Strong track record of building and maintaining relationships with external commercial partners and cross-functional internal stakeholders Comfortable collaborating with legal teams and working with data sharing and licensing agreements Experience in sourcing, negotiating, or managing access to datasets Understanding of data ingestion workflows and data formats and quality challenges Ability to work effectively and cross-functionally with data science, data engineering, legal, commercial and product teams Familiarity with GxP / regulated software environments Even better if you have experience of Healthcare, biotech, medtech, or techbio environments Experience in high-growth startups or scaleups Familiarity with: Technology transfer offices (TTOs) Research collaboration agreements Exposure to: Clinical trials AI / machine learning workflows Medical imaging, biomarkers, or real-world data Experience supporting: Customer deployments Enterprise / pharma partnerships A comprehensive benefits package that includesan annual bonus plan,private medical insurance, life insurance, and acontributory pension scheme 25 days annual leave,plus bank holidays and enhanced maternity leave A diverse work environment that brings together experts in many fields, including software engineering, DevOps, data science, machine learning, quality assurance, regulatory affairs, and clinical operations. If you have any queries, please contact . Everyone is welcome at Qureight. We are an equal opportunities employer and encourage applications from all suitably qualified candidates regardless of age, disability, ethnicity, sex, gender reassignment, religion or belief, sexual orientation, marriage and civil partnership, or pregnancy and maternity. Women and other underrepresented groups may be less likely to apply for a role unless they meet all or nearly all of the requirements. If this applies to you, we still encourage you to apply - you may be a great fit, even if you don't meet every qualification. We'd love to hear from you. If you require any adjustments to the application or selection process, please let us know. We will be happy to support you.
The role Wayve's AI Validation Division builds trust in the Wayve AI Driver for our customers. As a Staff Validation Engineer, you will lead the development, execution, and reporting of validation for ADAS Functions. Collaborating with systems engineers and data scientists, you will leverage Wayve's unique simulation and evaluation technology, and meet emerging AV industry standards as autonomy transitions to fully end-to-end learned models-helping bring the Wayve AI Driver to millions globally. The role Wayve's AI Validation Division builds trust in the Wayve AI Driver for our customers. As a Staff Validation Engineer, you will lead the development, execution, and reporting of validation for ADAS Functions. Collaborating with systems engineers and data scientists, you will leverage Wayve's unique simulation and evaluation technology, and meet emerging AV industry standards as autonomy transitions to fully end-to-end learned models-helping bring the Wayve AI Driver to millions globally. Key Responsibilities Develop and implement a comprehensive validation strategy across test modalities to assess ADAS Functions that are part of the Wayve AI Driver product. Define and implement general purpose metrics for validating on-road and simulated driving behavior. Define test coverage requirements and build comprehensive test suites. Develop acceptance criteria through collaboration with Product, Safety, and AV Engineering teams. Analyze test results and report findings to Release and Autonomy Engineering stakeholders. Identify data, simulation, and evaluation team dependencies to enable timely, scalable, and automated validation execution. Collaborate closely with Product, Architecture, Data, Simulation, and Autonomy leads to design and implement comprehensive yet efficient test strategies. About you To succeed as a Validation Systems Engineer at Wayve, you'll bring the following skills and experience: Essential Clear, concise communicator with excellent documentation skills. Strong analytical skills with experience in evidence-based decision-making. Hands-on experience evaluating and validating complex engineered systems - whether through simulated scenario development, real-world testing, or both. Experience in the Automotive or AV industries. Proficiency in Python to implement metrics and work with evaluation codebase. Experience with both simulated and physical testing environments for autonomous systems. Experience analyzing and reporting validation results. Demonstrated ownership driving validation concepts from ideation to implementation in ambiguous, fast-paced environments. Degree in Computer Science, Robotics, Aerospace, or a related field. Desirable Background in ML, Computer Vision, Motion Planning, or Data Science. Experience in the Automotive or AV industries. Experience with SOTIF and safety validation. Skilled in evaluating and validating learned or adaptive behaviors. Experience with modern AI tools and agentic workflows Experience analyzing large datasets with SQL Deep understanding of driving behavior and how to measure driving performance. This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
Sep 30, 2026
Full time
The role Wayve's AI Validation Division builds trust in the Wayve AI Driver for our customers. As a Staff Validation Engineer, you will lead the development, execution, and reporting of validation for ADAS Functions. Collaborating with systems engineers and data scientists, you will leverage Wayve's unique simulation and evaluation technology, and meet emerging AV industry standards as autonomy transitions to fully end-to-end learned models-helping bring the Wayve AI Driver to millions globally. The role Wayve's AI Validation Division builds trust in the Wayve AI Driver for our customers. As a Staff Validation Engineer, you will lead the development, execution, and reporting of validation for ADAS Functions. Collaborating with systems engineers and data scientists, you will leverage Wayve's unique simulation and evaluation technology, and meet emerging AV industry standards as autonomy transitions to fully end-to-end learned models-helping bring the Wayve AI Driver to millions globally. Key Responsibilities Develop and implement a comprehensive validation strategy across test modalities to assess ADAS Functions that are part of the Wayve AI Driver product. Define and implement general purpose metrics for validating on-road and simulated driving behavior. Define test coverage requirements and build comprehensive test suites. Develop acceptance criteria through collaboration with Product, Safety, and AV Engineering teams. Analyze test results and report findings to Release and Autonomy Engineering stakeholders. Identify data, simulation, and evaluation team dependencies to enable timely, scalable, and automated validation execution. Collaborate closely with Product, Architecture, Data, Simulation, and Autonomy leads to design and implement comprehensive yet efficient test strategies. About you To succeed as a Validation Systems Engineer at Wayve, you'll bring the following skills and experience: Essential Clear, concise communicator with excellent documentation skills. Strong analytical skills with experience in evidence-based decision-making. Hands-on experience evaluating and validating complex engineered systems - whether through simulated scenario development, real-world testing, or both. Experience in the Automotive or AV industries. Proficiency in Python to implement metrics and work with evaluation codebase. Experience with both simulated and physical testing environments for autonomous systems. Experience analyzing and reporting validation results. Demonstrated ownership driving validation concepts from ideation to implementation in ambiguous, fast-paced environments. Degree in Computer Science, Robotics, Aerospace, or a related field. Desirable Background in ML, Computer Vision, Motion Planning, or Data Science. Experience in the Automotive or AV industries. Experience with SOTIF and safety validation. Skilled in evaluating and validating learned or adaptive behaviors. Experience with modern AI tools and agentic workflows Experience analyzing large datasets with SQL Deep understanding of driving behavior and how to measure driving performance. This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
TS Imagine, a global leader in trading and risk management SaaS-based software, is seeking a Financial Engineer to join our Models and Quantitative Data team in our London office! As a Financial Engineer, you will design, develop, and test sophisticated models to value financial positions, construct quantitative datasets (e.g., curves, volatility cubes, correlation matrices), and calculate market risk metrics (e.g., VaR, greeks) in real-time across all asset classes. Our cutting-edge risk and pricing models are trusted by some of the world's most prestigious financial institutions, including global investment banks and multi-strategy hedge funds. Who will love this job A scientist - you are comfortable with numerical methods, linear algebra, partial differential equations, probability theory and statistics An engineer - who has a passion for computer science, system performance, clean code and architecture with an owner mentality A doer - who is enthusiastic about new challenges, accepts a broad spectrum of responsibilities, and works hard to produce a high-quality result A learner - who is not afraid of being outside the comfort zone and is ready to dive into some of the most complicated problems in finance An excellent teammate - who has a combination of technical and personal qualities to thrive in a cutting-edge software development environment What you'll do Design and develop financial models for pricing positions and calculating market risk metrics across asset classes, including equity, credit, FX, fixed income, commodities, crypto, and their derivatives Write modern, high-performance C++ code that is clean, reusable, well-tested, and optimized for large-scale distributed systems using a high-performance grid computing platform Leverage Python, SQL, and Snowflake to analyze, construct, and validate model inputs Document methodologies to support internal and external model validation and compliance processes What you should have M.S. or PhD in mathematics, physical sciences, or engineering preferred Excellent quantitative and programming skills with 3-5 years' experience in large-scale C++ development and program design as well as data intensive products Familiarity with additional programming languages such as Python, Java, and SQL Strong understanding of financial derivatives, market conventions, and their implementation Hands on experience with financial data structures, such as yield curves (OIS, Libor, cross currency), inflation curves, volatility surfaces, and interest rate volatility cubes (preferably live or intraday) Experience in developing risk management tools such as VaR, Monte Carlo, scenario analysis and P&L is preferred Why TS Imagine / Benefits Please note: This role requires applicants to be based in London, as it is anin-officeposition (4 days in office).Remote work is not possible. Vacation and Personal days Annual bonus and salary review Training Budget $1,500 Health, dental, life assurance, and eye care vouchers Salary sacrifice pension scheme About TS Imagine Created out of the combination of two best-in-class SaaS platforms, TradingScreen and Imagine Software, TS Imagine delivers integrated trading, portfolio and real-time risk solutions for capital markets. The platform is uniquely positioned to streamline complex and time changing workflows across front, middle, and back office functions. TS Imagine has close to 400 employees in 10 offices worldwide, serving approximately 500 global buy side and sell side institutions across North and South America, EMEA, and Asia Pacific including hedge funds, traditional asset managers, pension funds, mutual funds, and financial institutions. We challenge our employees every day to think creatively and innovate across silos and across platforms.
Sep 30, 2026
Full time
TS Imagine, a global leader in trading and risk management SaaS-based software, is seeking a Financial Engineer to join our Models and Quantitative Data team in our London office! As a Financial Engineer, you will design, develop, and test sophisticated models to value financial positions, construct quantitative datasets (e.g., curves, volatility cubes, correlation matrices), and calculate market risk metrics (e.g., VaR, greeks) in real-time across all asset classes. Our cutting-edge risk and pricing models are trusted by some of the world's most prestigious financial institutions, including global investment banks and multi-strategy hedge funds. Who will love this job A scientist - you are comfortable with numerical methods, linear algebra, partial differential equations, probability theory and statistics An engineer - who has a passion for computer science, system performance, clean code and architecture with an owner mentality A doer - who is enthusiastic about new challenges, accepts a broad spectrum of responsibilities, and works hard to produce a high-quality result A learner - who is not afraid of being outside the comfort zone and is ready to dive into some of the most complicated problems in finance An excellent teammate - who has a combination of technical and personal qualities to thrive in a cutting-edge software development environment What you'll do Design and develop financial models for pricing positions and calculating market risk metrics across asset classes, including equity, credit, FX, fixed income, commodities, crypto, and their derivatives Write modern, high-performance C++ code that is clean, reusable, well-tested, and optimized for large-scale distributed systems using a high-performance grid computing platform Leverage Python, SQL, and Snowflake to analyze, construct, and validate model inputs Document methodologies to support internal and external model validation and compliance processes What you should have M.S. or PhD in mathematics, physical sciences, or engineering preferred Excellent quantitative and programming skills with 3-5 years' experience in large-scale C++ development and program design as well as data intensive products Familiarity with additional programming languages such as Python, Java, and SQL Strong understanding of financial derivatives, market conventions, and their implementation Hands on experience with financial data structures, such as yield curves (OIS, Libor, cross currency), inflation curves, volatility surfaces, and interest rate volatility cubes (preferably live or intraday) Experience in developing risk management tools such as VaR, Monte Carlo, scenario analysis and P&L is preferred Why TS Imagine / Benefits Please note: This role requires applicants to be based in London, as it is anin-officeposition (4 days in office).Remote work is not possible. Vacation and Personal days Annual bonus and salary review Training Budget $1,500 Health, dental, life assurance, and eye care vouchers Salary sacrifice pension scheme About TS Imagine Created out of the combination of two best-in-class SaaS platforms, TradingScreen and Imagine Software, TS Imagine delivers integrated trading, portfolio and real-time risk solutions for capital markets. The platform is uniquely positioned to streamline complex and time changing workflows across front, middle, and back office functions. TS Imagine has close to 400 employees in 10 offices worldwide, serving approximately 500 global buy side and sell side institutions across North and South America, EMEA, and Asia Pacific including hedge funds, traditional asset managers, pension funds, mutual funds, and financial institutions. We challenge our employees every day to think creatively and innovate across silos and across platforms.
Great AI and machine learning capability only creates value once it runs reliably in the real world. This role exists to bridge that final, critical gap-taking the AI/ML solutions developed within our Data Science team from promising prototypes to robust, scalable production systems that our teams and customers depend on every day. Sitting within Data Science, this is at heart a hands on AI/ML engineering role. Your primary focus will be productionising Generative AI and agentic systems-building the APIs, tools, integrations and workflows that let LLMs, and agents operate reliably at scale. You will also support the broader range of machine learning models and pipelines across the business. You will be the key partner working hand in hand with Engineering, DevOps and Infrastructure teams to bring our models and systems into production-owning the technical journey of making AI/ML systems live, stable, secure and performant. As a member of the Data Science team, you will set the standard for production readiness, act as the bridge between data science and the wider engineering organisation, drive delivery across teams, and mentor colleagues. Your work will directly determine how quickly and confidently Argus can bring new AI/ML capabilities to life. What Will You Be Doing Delivery & Engineering Design and build robust, secure APIs and backend components that power AI/ML, GenAI and agentic applications. Engineer agentic systems-integrating LLMs with tools, data sources, and business workflows into reliable, production grade pipelines. Drive systems from prototype to production, owning reliability, scalability, and operational readiness. Raise code quality, structure, and production readiness across the AI/ML stack. Debug and resolve issues across APIs, environments, and integrations, ensuring rapid response times and minimal disruption. Act as the technical partner between Data Science and the Engineering, DevOps and Infrastructure teams, taking solutions from development through to live deployment. Advise and support colleagues across the business whose systems integrate with AI/ML and agentic components. Proactively resolve technical ambiguity to reduce delivery friction and rework, ensuring a smooth handover from prototype to production. Technical Leadership & Enablement Establish and evolve engineering standards for productionising AI/ML, including testing, observability, versioning, and release management. Mentor and guide data scientists and engineers, providing code reviews and hands on technical support. Champion a culture of disciplined engineering, continuous improvement, and operational excellence within Data Science. Skills And Experience Education A degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Data Science, or a related technical discipline-or equivalent hands on experience. An MSc or PhD is welcome but not essential. Essential Experience & Skills Exceptionally strong Python programming skills, with a deep grasp of object oriented design, clean code, and core software engineering principles (e.g. SOLID, design patterns, modularity, testability). Strong backend / API engineering experience, ideally in Python (e.g. FastAPI, or similar). Hands on experience building and operating solutions in AWS environments. Proficiency with Docker, GitHub, and CI/CD pipelines. Proven ability to partner with and work across teams to drive delivery into production. Strong problem solving, debugging, and performance optimisation skills. Solid software engineering foundations, including version control, automated testing, and monitoring. Experience building or productionising agentic AI systems-tool use, orchestration, multi step reasoning, or agent frameworks (e.g. LangGraph, LangChain, CrewAI, AutoGen, or similar). Experience with GenAI / LLM systems in a production context (RAG, prompt orchestration, evaluation, guardrails, cost/latency optimisation). Exposure to MCP (Model Context Protocol) and tool based / function calling architectures. Experience deploying and operating machine learning models / MLOps pipelines (e.g. model serving, monitoring, retraining workflows). Experience with real time / streaming systems. What's In It For You Competitive salary and company bonus scheme Group healthcare and life assurance scheme Hybrid working environment (currently one day in office) 25 days annual holiday with incremental increase up to 30 days Subsidised gym membership Season ticket travel loan Cycle to work scheme Flexible benefits platform (ability to buy additional medical cover, life assurance, dental cover, holiday, critical illness, travel insurance & health screening) Extensive internal and external training Argus is the leading independent provider of market intelligence to the global energy and commodity markets. We offer essential price assessments, news, analytics, consulting services, data science tools and industry conferences to illuminate complex and opaque commodity markets. Headquartered in London with 1,500 staff, Argus is an independent media organisation with 32 offices in the world's principal commodity trading hubs. Companies, trading firms and governments in 160 countries around the world trust Argus data to make decisions, analyse situations, manage risk, facilitate trading and for long term planning. Argus prices are used as trusted benchmarks around the world for pricing transportation, commodities and energy. Founded in 1970, Argus remains a privately held UK registered company owned by employee shareholders and global growth equity firm General Atlantic.
Sep 30, 2026
Full time
Great AI and machine learning capability only creates value once it runs reliably in the real world. This role exists to bridge that final, critical gap-taking the AI/ML solutions developed within our Data Science team from promising prototypes to robust, scalable production systems that our teams and customers depend on every day. Sitting within Data Science, this is at heart a hands on AI/ML engineering role. Your primary focus will be productionising Generative AI and agentic systems-building the APIs, tools, integrations and workflows that let LLMs, and agents operate reliably at scale. You will also support the broader range of machine learning models and pipelines across the business. You will be the key partner working hand in hand with Engineering, DevOps and Infrastructure teams to bring our models and systems into production-owning the technical journey of making AI/ML systems live, stable, secure and performant. As a member of the Data Science team, you will set the standard for production readiness, act as the bridge between data science and the wider engineering organisation, drive delivery across teams, and mentor colleagues. Your work will directly determine how quickly and confidently Argus can bring new AI/ML capabilities to life. What Will You Be Doing Delivery & Engineering Design and build robust, secure APIs and backend components that power AI/ML, GenAI and agentic applications. Engineer agentic systems-integrating LLMs with tools, data sources, and business workflows into reliable, production grade pipelines. Drive systems from prototype to production, owning reliability, scalability, and operational readiness. Raise code quality, structure, and production readiness across the AI/ML stack. Debug and resolve issues across APIs, environments, and integrations, ensuring rapid response times and minimal disruption. Act as the technical partner between Data Science and the Engineering, DevOps and Infrastructure teams, taking solutions from development through to live deployment. Advise and support colleagues across the business whose systems integrate with AI/ML and agentic components. Proactively resolve technical ambiguity to reduce delivery friction and rework, ensuring a smooth handover from prototype to production. Technical Leadership & Enablement Establish and evolve engineering standards for productionising AI/ML, including testing, observability, versioning, and release management. Mentor and guide data scientists and engineers, providing code reviews and hands on technical support. Champion a culture of disciplined engineering, continuous improvement, and operational excellence within Data Science. Skills And Experience Education A degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Data Science, or a related technical discipline-or equivalent hands on experience. An MSc or PhD is welcome but not essential. Essential Experience & Skills Exceptionally strong Python programming skills, with a deep grasp of object oriented design, clean code, and core software engineering principles (e.g. SOLID, design patterns, modularity, testability). Strong backend / API engineering experience, ideally in Python (e.g. FastAPI, or similar). Hands on experience building and operating solutions in AWS environments. Proficiency with Docker, GitHub, and CI/CD pipelines. Proven ability to partner with and work across teams to drive delivery into production. Strong problem solving, debugging, and performance optimisation skills. Solid software engineering foundations, including version control, automated testing, and monitoring. Experience building or productionising agentic AI systems-tool use, orchestration, multi step reasoning, or agent frameworks (e.g. LangGraph, LangChain, CrewAI, AutoGen, or similar). Experience with GenAI / LLM systems in a production context (RAG, prompt orchestration, evaluation, guardrails, cost/latency optimisation). Exposure to MCP (Model Context Protocol) and tool based / function calling architectures. Experience deploying and operating machine learning models / MLOps pipelines (e.g. model serving, monitoring, retraining workflows). Experience with real time / streaming systems. What's In It For You Competitive salary and company bonus scheme Group healthcare and life assurance scheme Hybrid working environment (currently one day in office) 25 days annual holiday with incremental increase up to 30 days Subsidised gym membership Season ticket travel loan Cycle to work scheme Flexible benefits platform (ability to buy additional medical cover, life assurance, dental cover, holiday, critical illness, travel insurance & health screening) Extensive internal and external training Argus is the leading independent provider of market intelligence to the global energy and commodity markets. We offer essential price assessments, news, analytics, consulting services, data science tools and industry conferences to illuminate complex and opaque commodity markets. Headquartered in London with 1,500 staff, Argus is an independent media organisation with 32 offices in the world's principal commodity trading hubs. Companies, trading firms and governments in 160 countries around the world trust Argus data to make decisions, analyse situations, manage risk, facilitate trading and for long term planning. Argus prices are used as trusted benchmarks around the world for pricing transportation, commodities and energy. Founded in 1970, Argus remains a privately held UK registered company owned by employee shareholders and global growth equity firm General Atlantic.
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data - securing and protecting private information more effectively - Elastic's complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role: The Elastic Security Endpoint Protections team researches, designs, and builds the visibility and prevention capabilities at the core of Elastic Defend, our endpoint and SIEM security solution. We are looking for a Senior Security Research Engineer to help lead our efforts to build innovative features that secure our users against the latest emerging threats. You will collaborate with the broader Elastic Security team, a diverse group of skilled researchers, data scientists, and engineers who bring deep domain knowledge in their respective areas. Our geographically dispersed team values positivity and inclusivity in the workplace, clear communication, collaborative learning, and guided mentorship. What You Will Be Doing: Research emerging attacker techniques and turn them into shipped protections. Study real-world tradecraft across in-memory threats, injection, credential theft, ransomware, and kernel tampering, then design protections that hold up against an adversary actively trying to defeat them. Build and extend endpoint visibility. Instrument new event sources across Windows, macOS, and Linux, deepen the telemetry we already collect, and close the gaps attackers rely on. Every source you add becomes a foundation for other teams. Develop production code that runs everywhere. Write performant, stable C/C++ that executes on millions of endpoints, where a memory leak or a few milliseconds of overhead is a customer-visible problem. Reverse engineer malware and study evasion. Learn how attackers bypass endpoint security controls in the wild, and feed that understanding directly into the protections you design and harden. Own efficacy end to end. Review customer telemetry at fleet scale, investigate false positives and performance regressions, and establish mitigation strategies. Shipping the feature is the beginning of the job, not the end. Extend protection parity across platforms. Bring the depth we have on Windows to macOS and Linux, and support new hardware architectures as they reach the enterprise. Collaborate across Elastic Security. Implement endpoint code alongside peers in multiple countries and time zones, and work with the detection engineers, malware researchers, and data scientists who rely on your telemetry. Help lead the team's technical direction. Take point on initiatives that span multiple releases, raise the bar in design and code reviews, and mentor engineers earlier in their careers. Publish and present. Share your research on Elastic Security Labs, present at conferences, and contribute to the open source projects that organizations around the world rely on. What You Bring: 6+ years of professional experience analyzing attacker tactics, techniques, and procedures (TTPs) and building detection methods for real security threats. 6+ years of development experience in C, C++, and Python, with the judgment to write code that is safe, fast, and maintainable in a security-critical codebase. Deep operating system internals knowledge, in both kernel and user mode, deep enough to reason about undocumented behavior and find security-relevant structures nobody has written about yet. Windows depth is what we need most, with macOS or Linux depth close behind. In-depth reverse engineering and malware analysis experience, and comfort with the tooling that makes hard binaries readable. An adversarial instinct. You anticipate how a protection will be evaded before it ships, and design for resilience rather than for the proof of concept in front of you. A collaborative mentality and an eagerness to learn new skills, new platforms, and emerging technologies. You have a proven track record of using AI to accelerate development, debug complex systems, and optimize code, while still owning the final outcomes. You work autonomously and can drive decisions and results in a distributed team by leveraging asynchronous, direct, and transparent communication. Passion for protecting the world's data from attack! Bonus Points: Vulnerability research and exploit development, particularly with a track record of responsible disclosure to platform vendors. Red teaming experience, or a background in building offensive tooling and defeating endpoint security products. Kernel-mode development, including driver development and debugging. Ownership or long-term maintenance of an open-source security tool with a real user base. Conference speaking experience (e.g., Black Hat, DEF CON, CODE BLUE, Virus Bulletin) or an established publication record. Experience applying machine learning to endpoint security problems. Familiarity with the Elastic Stack (Elasticsearch, Kibana) and Elastic Security. Additional Information - We Take Care of Our People: As a distributed company, diversity drives our identity. Whether you're looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn't matter if you're just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions, and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with a minimum of 16 weeks of parental leave Security & Privacy Responsibilities: Take ownership of protecting the confidentiality, integrity, and availability of organizational data and systems by following applicable privacy and security policies, standards, and procedures. Ensure that all individual contributions follow Elastic's Secure Software Development Framework (SSDF). Proactively participate in mandatory role-based training to ensure personal technical execution consistently aligns with the highest standards of data protection, data privacy, and system resilience. Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email . We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws and can view the following posters linked below: Family and Medical Leave Act (FMLA) Poster Employee Polygraph Protection Act (EPPA) Poster Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries' export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement. Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below. These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future. An employee's position within the salary range will be based on several factors including . click apply for full job details
Sep 30, 2026
Full time
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data - securing and protecting private information more effectively - Elastic's complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role: The Elastic Security Endpoint Protections team researches, designs, and builds the visibility and prevention capabilities at the core of Elastic Defend, our endpoint and SIEM security solution. We are looking for a Senior Security Research Engineer to help lead our efforts to build innovative features that secure our users against the latest emerging threats. You will collaborate with the broader Elastic Security team, a diverse group of skilled researchers, data scientists, and engineers who bring deep domain knowledge in their respective areas. Our geographically dispersed team values positivity and inclusivity in the workplace, clear communication, collaborative learning, and guided mentorship. What You Will Be Doing: Research emerging attacker techniques and turn them into shipped protections. Study real-world tradecraft across in-memory threats, injection, credential theft, ransomware, and kernel tampering, then design protections that hold up against an adversary actively trying to defeat them. Build and extend endpoint visibility. Instrument new event sources across Windows, macOS, and Linux, deepen the telemetry we already collect, and close the gaps attackers rely on. Every source you add becomes a foundation for other teams. Develop production code that runs everywhere. Write performant, stable C/C++ that executes on millions of endpoints, where a memory leak or a few milliseconds of overhead is a customer-visible problem. Reverse engineer malware and study evasion. Learn how attackers bypass endpoint security controls in the wild, and feed that understanding directly into the protections you design and harden. Own efficacy end to end. Review customer telemetry at fleet scale, investigate false positives and performance regressions, and establish mitigation strategies. Shipping the feature is the beginning of the job, not the end. Extend protection parity across platforms. Bring the depth we have on Windows to macOS and Linux, and support new hardware architectures as they reach the enterprise. Collaborate across Elastic Security. Implement endpoint code alongside peers in multiple countries and time zones, and work with the detection engineers, malware researchers, and data scientists who rely on your telemetry. Help lead the team's technical direction. Take point on initiatives that span multiple releases, raise the bar in design and code reviews, and mentor engineers earlier in their careers. Publish and present. Share your research on Elastic Security Labs, present at conferences, and contribute to the open source projects that organizations around the world rely on. What You Bring: 6+ years of professional experience analyzing attacker tactics, techniques, and procedures (TTPs) and building detection methods for real security threats. 6+ years of development experience in C, C++, and Python, with the judgment to write code that is safe, fast, and maintainable in a security-critical codebase. Deep operating system internals knowledge, in both kernel and user mode, deep enough to reason about undocumented behavior and find security-relevant structures nobody has written about yet. Windows depth is what we need most, with macOS or Linux depth close behind. In-depth reverse engineering and malware analysis experience, and comfort with the tooling that makes hard binaries readable. An adversarial instinct. You anticipate how a protection will be evaded before it ships, and design for resilience rather than for the proof of concept in front of you. A collaborative mentality and an eagerness to learn new skills, new platforms, and emerging technologies. You have a proven track record of using AI to accelerate development, debug complex systems, and optimize code, while still owning the final outcomes. You work autonomously and can drive decisions and results in a distributed team by leveraging asynchronous, direct, and transparent communication. Passion for protecting the world's data from attack! Bonus Points: Vulnerability research and exploit development, particularly with a track record of responsible disclosure to platform vendors. Red teaming experience, or a background in building offensive tooling and defeating endpoint security products. Kernel-mode development, including driver development and debugging. Ownership or long-term maintenance of an open-source security tool with a real user base. Conference speaking experience (e.g., Black Hat, DEF CON, CODE BLUE, Virus Bulletin) or an established publication record. Experience applying machine learning to endpoint security problems. Familiarity with the Elastic Stack (Elasticsearch, Kibana) and Elastic Security. Additional Information - We Take Care of Our People: As a distributed company, diversity drives our identity. Whether you're looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn't matter if you're just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions, and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with a minimum of 16 weeks of parental leave Security & Privacy Responsibilities: Take ownership of protecting the confidentiality, integrity, and availability of organizational data and systems by following applicable privacy and security policies, standards, and procedures. Ensure that all individual contributions follow Elastic's Secure Software Development Framework (SSDF). Proactively participate in mandatory role-based training to ensure personal technical execution consistently aligns with the highest standards of data protection, data privacy, and system resilience. Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email . We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws and can view the following posters linked below: Family and Medical Leave Act (FMLA) Poster Employee Polygraph Protection Act (EPPA) Poster Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries' export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement. Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below. These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future. An employee's position within the salary range will be based on several factors including . click apply for full job details
Keen to join a company that champions growth and development? Join a leading UK Managed Service Provider expanding into applied AI and LLM-based solutions for enterprise clients. The organisation is building a new AI capability that combines deep technical expertise with practical, commercially focused solutions for existing and prospective managed services customers. This company is looking for a Customer-Facing AI Data Scientist to work directly with client engineering leads and technical stakeholders, architecting LLM solutions, supporting design decisions, and translating advanced model knowledge into commercially viable outcomes. The role offers genuine ownership across LLM fine-tuning, evaluation, and deployment, with the opportunity to help shape a new AI practice within an established MSP. Responsibilities: Act as the primary technical point of contact for enterprise clients on LLM-based engagements, from scoping through to deployment. Design and architect LLM training, fine-tuning, and evaluation pipelines tailored to specific client use cases and data environments. Translate ambiguous client requirements into concrete technical architectures and delivery plans. Lead deep technical discovery sessions and whiteboard sessions with client engineering and data science teams. Own model performance, evaluation methodology, and responsible deployment recommendations for client-facing solutions. Partner with sales, account management, and delivery teams to ensure architectural decisions are technically sound and commercially deliverable within a managed services model. Skills/Must Have: Experience: 5+ years in applied data science or ML engineering, with direct exposure to LLM training or fine-tuning at a technical (not just API-consumption) level. Core Tech/Domain: Hands-on experience with transformer architectures, LLM pre-training or fine-tuning workflows, and modern ML frameworks (PyTorch, Hugging Face, or equivalent). Methodology/Protocols: Strong grounding in evaluation methodology, RAG and fine-tuning trade-offs, and production ML deployment patterns. Soft Skills: Confident and credible in front of senior technical stakeholders, comfortable with pushback in live technical discussions, able to hold a boardroom and a terminal equally well. Desirable Skills: Experience with distributed training infrastructure (multi-GPU, multi-node). Prior pre-sales, solutions architecture, or consulting background. Familiarity with model safety, alignment, or responsible AI evaluation frameworks. Salary: £120,000
Sep 30, 2026
Full time
Keen to join a company that champions growth and development? Join a leading UK Managed Service Provider expanding into applied AI and LLM-based solutions for enterprise clients. The organisation is building a new AI capability that combines deep technical expertise with practical, commercially focused solutions for existing and prospective managed services customers. This company is looking for a Customer-Facing AI Data Scientist to work directly with client engineering leads and technical stakeholders, architecting LLM solutions, supporting design decisions, and translating advanced model knowledge into commercially viable outcomes. The role offers genuine ownership across LLM fine-tuning, evaluation, and deployment, with the opportunity to help shape a new AI practice within an established MSP. Responsibilities: Act as the primary technical point of contact for enterprise clients on LLM-based engagements, from scoping through to deployment. Design and architect LLM training, fine-tuning, and evaluation pipelines tailored to specific client use cases and data environments. Translate ambiguous client requirements into concrete technical architectures and delivery plans. Lead deep technical discovery sessions and whiteboard sessions with client engineering and data science teams. Own model performance, evaluation methodology, and responsible deployment recommendations for client-facing solutions. Partner with sales, account management, and delivery teams to ensure architectural decisions are technically sound and commercially deliverable within a managed services model. Skills/Must Have: Experience: 5+ years in applied data science or ML engineering, with direct exposure to LLM training or fine-tuning at a technical (not just API-consumption) level. Core Tech/Domain: Hands-on experience with transformer architectures, LLM pre-training or fine-tuning workflows, and modern ML frameworks (PyTorch, Hugging Face, or equivalent). Methodology/Protocols: Strong grounding in evaluation methodology, RAG and fine-tuning trade-offs, and production ML deployment patterns. Soft Skills: Confident and credible in front of senior technical stakeholders, comfortable with pushback in live technical discussions, able to hold a boardroom and a terminal equally well. Desirable Skills: Experience with distributed training infrastructure (multi-GPU, multi-node). Prior pre-sales, solutions architecture, or consulting background. Familiarity with model safety, alignment, or responsible AI evaluation frameworks. Salary: £120,000
Job Summary Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-word challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about challenging the status quo and striving to be best in class. As an Applied AI ML Director, Risk Management & Compliance at JPMorganChase within the Digital Strategy and Enablement team, you will be supporting Market Risk, Country Risk and Principal Risk, and you'll shape how we leverage artificial intelligence and advanced analytics to solve complex business challenges. You will guide us in exploring, piloting, and implementing transformative AI solutions, including Gen AI, while collaborating closely with Product, Engineering, and Lines of Business. Together, we will foster a culture of experimentation, delivery, and continuous learning, encouraging new ideas and maintaining operational excellence. You will help build and mentor a high-performing team focused on deep data understanding and advanced analytics, driving the development of robust tools and solutions using cutting-edge AI/ML techniques, cloud technologies, and enterprise knowledge bases. In this strategic and hands on role, you will engage with technical aspects, review code, monitor the impact of production GenAI models, and enable rapid prototyping, ensuring our solutions deliver real business value and are seamlessly integrated into our operations. Job Responsibilities Oversee and manage a team of data scientists responsible for developing predictive models, prompt-based LLM solutions, autonomous agents and agentic systems. Lead the design, build, and deployment of impactful AI and data driven applications in collaboration with Product, Business and Engineering teams. Use cloud, data mesh, and knowledge base technologies such as centralized repositories, semantic search, and automated information retrieval systems that organize, store, and provide easy access to critical business data and insights. Distill and communicate complex analytical findings and recommendations to senior leadership to inform strategic decisions. Manage the end to end model development lifecycle, including planning, execution, continuous improvement, risk management, and alignment with business objectives. Adhere to model risk management, responsible AI, and governance standards, including explainability, fairness, and compliance requirements. Collaborate with senior leaders to re engineer processes and define a compelling vision for the target state by embedding AI into current workflows, driving change and efficiency. Integrate data science solutions and applications into operational workflows to drive business value and adoption. Guide research initiatives and pilot projects to identify and apply state of the art AI/ML solutions, including GenAI and agentic technologies. Implement robust drift monitoring and model retraining processes to maintain accuracy and performance. Required Qualifications, Capabilities, and Skills Extensive experience in data science, analytics or a related field. Proven track record of deploying, operationalizing, and managing AI, ML, and advanced analytics models in a large scale enterprise environment, including hands on experience with ML Ops frameworks, tools, and best practices for model monitoring, automation, and lifecycle management. Significant leadership experience in managing data science/R&D teams and driving technology innovation. Extensive experience in AI/ML algorithms, statistical modeling, and scalable data processing pipelines, with a strong background in modern data platforms (e.g. Databricks or equivalent), cloud based technologies, data mesh architectures, and big data ecosystems. Experience with A/B experimentation, data and metric driven product development, cloud native deployment in large scale distributed environments, and the ability to develop and debug production quality code. Strong written and verbal communication skills, with the ability to convey technical concepts and results to both technical and business audiences. Scientific mindset with the ability to innovate and work both independently and collaboratively within a team. Ability to thrive in a matrix environment and build partnerships with colleagues at various levels and across multiple locations. Hands on experience with agentic frameworks and orchestration (e.g., LangGraph, Google ADK or equivalent). Preferred Qualifications, Capabilities, and Skills Advanced degree (Master's or Ph.D.) in Data Science, Computer Science, Mathematics, Engineering, or a related field.
Sep 30, 2026
Full time
Job Summary Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-word challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about challenging the status quo and striving to be best in class. As an Applied AI ML Director, Risk Management & Compliance at JPMorganChase within the Digital Strategy and Enablement team, you will be supporting Market Risk, Country Risk and Principal Risk, and you'll shape how we leverage artificial intelligence and advanced analytics to solve complex business challenges. You will guide us in exploring, piloting, and implementing transformative AI solutions, including Gen AI, while collaborating closely with Product, Engineering, and Lines of Business. Together, we will foster a culture of experimentation, delivery, and continuous learning, encouraging new ideas and maintaining operational excellence. You will help build and mentor a high-performing team focused on deep data understanding and advanced analytics, driving the development of robust tools and solutions using cutting-edge AI/ML techniques, cloud technologies, and enterprise knowledge bases. In this strategic and hands on role, you will engage with technical aspects, review code, monitor the impact of production GenAI models, and enable rapid prototyping, ensuring our solutions deliver real business value and are seamlessly integrated into our operations. Job Responsibilities Oversee and manage a team of data scientists responsible for developing predictive models, prompt-based LLM solutions, autonomous agents and agentic systems. Lead the design, build, and deployment of impactful AI and data driven applications in collaboration with Product, Business and Engineering teams. Use cloud, data mesh, and knowledge base technologies such as centralized repositories, semantic search, and automated information retrieval systems that organize, store, and provide easy access to critical business data and insights. Distill and communicate complex analytical findings and recommendations to senior leadership to inform strategic decisions. Manage the end to end model development lifecycle, including planning, execution, continuous improvement, risk management, and alignment with business objectives. Adhere to model risk management, responsible AI, and governance standards, including explainability, fairness, and compliance requirements. Collaborate with senior leaders to re engineer processes and define a compelling vision for the target state by embedding AI into current workflows, driving change and efficiency. Integrate data science solutions and applications into operational workflows to drive business value and adoption. Guide research initiatives and pilot projects to identify and apply state of the art AI/ML solutions, including GenAI and agentic technologies. Implement robust drift monitoring and model retraining processes to maintain accuracy and performance. Required Qualifications, Capabilities, and Skills Extensive experience in data science, analytics or a related field. Proven track record of deploying, operationalizing, and managing AI, ML, and advanced analytics models in a large scale enterprise environment, including hands on experience with ML Ops frameworks, tools, and best practices for model monitoring, automation, and lifecycle management. Significant leadership experience in managing data science/R&D teams and driving technology innovation. Extensive experience in AI/ML algorithms, statistical modeling, and scalable data processing pipelines, with a strong background in modern data platforms (e.g. Databricks or equivalent), cloud based technologies, data mesh architectures, and big data ecosystems. Experience with A/B experimentation, data and metric driven product development, cloud native deployment in large scale distributed environments, and the ability to develop and debug production quality code. Strong written and verbal communication skills, with the ability to convey technical concepts and results to both technical and business audiences. Scientific mindset with the ability to innovate and work both independently and collaboratively within a team. Ability to thrive in a matrix environment and build partnerships with colleagues at various levels and across multiple locations. Hands on experience with agentic frameworks and orchestration (e.g., LangGraph, Google ADK or equivalent). Preferred Qualifications, Capabilities, and Skills Advanced degree (Master's or Ph.D.) in Data Science, Computer Science, Mathematics, Engineering, or a related field.
Head of Machine Learning Central London - Twice a week in the office 120,000- 140,000 I'm currently working with a well-established London FinTech wealth-management SaaS business, who are looking for a Machine Learning expert with strong leadership experience to join their growing team on a hybrid basis. This award-winning business supports global FinTech clients with cloud management, CRM solutions, productivity platforms and the ongoing development and scaling of their technology architecture. In this newly created role, you will head up the Data Science/Machine Learning team and take ownership of driving the adoption and implementation of AI across the business. This will include integrating AI/ML capabilities into their core SaaS products, which are used by a range of wealth management firms, banks and FinTech organisations globally. More about the company Founded in 2017. London based - twice a week in the office. Work with some of the largest FinTech & Payments companies globally. Investing heavily in AI/ML to simplify processes and enhance their products. Award-winning business and part of a wider financial services group. The Role - Head of Machine Learning Lead a small team of Data Scientists, with the role being predominantly technical alongside some people management. Drive the integration of ML and AI across the company's core SaaS products. Work closely with clients and internal teams to ensure AI solutions are developed and implemented effectively. Take ownership of the company's growing AI/ML strategy and help shape how these technologies are used across the business. Newly created position offering significant scope to grow and progress as the AI/ML function develops. Tech Requirements Strong background in Machine Learning, AI, Data Science, Data Engineering and SaaS environments. Experience leading technical teams, including some people management responsibility. Strong experience working with NLP, LLMs and other modern AI/ML solutions. Strong technical background across Data, Development and Cloud, ideally with Python and Azure. Previous experience taking ML/AI solutions from development through to implementation. Strong stakeholder management and communication skills. Must have recent experience within FinTech or Financial Services, ideally working with technology businesses, wealth management or banking clients. Benefits: 5% Pension, Bonus, 25 Days Holiday + Bank Holidays, Wellbeing Support, Self-development tools & various other perks. If this role sounds of interest and you're looking for an opportunity to take ownership of AI/ML within a growing FinTech business, please apply and I can give you a call to discuss it further. Tim Stock (phone number removed) (url removed)
Sep 30, 2026
Full time
Head of Machine Learning Central London - Twice a week in the office 120,000- 140,000 I'm currently working with a well-established London FinTech wealth-management SaaS business, who are looking for a Machine Learning expert with strong leadership experience to join their growing team on a hybrid basis. This award-winning business supports global FinTech clients with cloud management, CRM solutions, productivity platforms and the ongoing development and scaling of their technology architecture. In this newly created role, you will head up the Data Science/Machine Learning team and take ownership of driving the adoption and implementation of AI across the business. This will include integrating AI/ML capabilities into their core SaaS products, which are used by a range of wealth management firms, banks and FinTech organisations globally. More about the company Founded in 2017. London based - twice a week in the office. Work with some of the largest FinTech & Payments companies globally. Investing heavily in AI/ML to simplify processes and enhance their products. Award-winning business and part of a wider financial services group. The Role - Head of Machine Learning Lead a small team of Data Scientists, with the role being predominantly technical alongside some people management. Drive the integration of ML and AI across the company's core SaaS products. Work closely with clients and internal teams to ensure AI solutions are developed and implemented effectively. Take ownership of the company's growing AI/ML strategy and help shape how these technologies are used across the business. Newly created position offering significant scope to grow and progress as the AI/ML function develops. Tech Requirements Strong background in Machine Learning, AI, Data Science, Data Engineering and SaaS environments. Experience leading technical teams, including some people management responsibility. Strong experience working with NLP, LLMs and other modern AI/ML solutions. Strong technical background across Data, Development and Cloud, ideally with Python and Azure. Previous experience taking ML/AI solutions from development through to implementation. Strong stakeholder management and communication skills. Must have recent experience within FinTech or Financial Services, ideally working with technology businesses, wealth management or banking clients. Benefits: 5% Pension, Bonus, 25 Days Holiday + Bank Holidays, Wellbeing Support, Self-development tools & various other perks. If this role sounds of interest and you're looking for an opportunity to take ownership of AI/ML within a growing FinTech business, please apply and I can give you a call to discuss it further. Tim Stock (phone number removed) (url removed)
ZoomInfo is seeking a Senior Data Engineer to join our Enterprise Data Engineering team. You will design and expand enterprise-scale data infrastructure supporting internal teams across AI, data, and applications. The ideal candidate brings strong experience with big data processing, pipeline orchestration, and data modeling. You will own production pipelines, participate in on-call rotations, and collaborate with ML engineers, data scientists, and product managers to deliver scalable data
Sep 30, 2026
Full time
ZoomInfo is seeking a Senior Data Engineer to join our Enterprise Data Engineering team. You will design and expand enterprise-scale data infrastructure supporting internal teams across AI, data, and applications. The ideal candidate brings strong experience with big data processing, pipeline orchestration, and data modeling. You will own production pipelines, participate in on-call rotations, and collaborate with ML engineers, data scientists, and product managers to deliver scalable data
White Collar Factory (95009), United Kingdom, London, London Senior Manager Architect - Data Location: London or Nottingham - Hybrid Working Pattern: 3 days in-office (Tuesday-Thursday) and 2 days remote Our Mission We're on a mission to be a force for good in lending. Throughout our almost 30-year history, we've consistently been recognised as a great place to work; in 2026, Capital One was officially ranked 9th in the UK's Best Workplaces list. Hear from our team about what it's like working at Capital One UK. About the role Do you love shaping the architectural technical direction of large, complex Data transformation initiatives? It's an exciting time at Capital One UK - We're on a mission to unlock organisational pace and Data agility, through creating our next generation, cloud-based data ecosystem, to unlock the power of data, increase financial inclusion and deliver transformative, real-time, intelligent experiences to our customers. Capital One's Data team is responsible for the data ecosystem, which covers the holistic data lifecycle, from the capture of high-quality customer data in real-time, the structuring, storage and processing of that data for insight, to the usage of the data in event driven applications, ML and AI. As a Senior Manager Architect in Data you will be an experienced technical leader bringing business, industry and deep technical understanding to shape the architecture direction and evolution of the data ecosystem, across Cloud-scale Distributed Data Processing, Storage & Curated Data Consumption. You will invest in architecture excellence across the Data team, and foster innovation to unlock value across our user community of Engineers, Data Scientists, Data Analysts & Data Governance associates. Come and help us shape the future of financial services in the Cloud. What you'll do Shape the architecture direction and evolution of the data ecosystem, across Cloud-scale Distributed Data Processing, Storage & Curated Data Consumption Influence Senior stakeholders, Internal customers & Enterprise partners, gaining consensus on key technology decisions and architecture direction of the data ecosystem Own and evolve architecture artefacts including reference architectures, Architecture Decision Records, and technical standards for your domain Partner with Product Management, Engineering, Cyber and our user community of Engineers, Data Scientists, Data Analysts and Data Governance associates, solving their challenges through Data Technology, to unlock business value Be a passionate advocate for the data ecosystem and data technology, driving wide awareness and usage aligned to Enterprise architecture standards and patterns Enable simplification across our architecture, processes and technologies, by encouraging and fostering UK standardisation, the reuse of appropriate industry SaaS solutions, and adoption of Enterprise standards, patterns, capabilities and platforms as appropriate for each use case Nurture and grow architecture excellence & culture within the Data team, leading technical design reviews & driving architecture best practice both within the team and the broader Architecture organisation Collaborate with your peers in UK architecture and engage in the wider Enterprise architecture group What you'll bring Demonstrable experience as a hands-on Senior Manager Architect, in a large, complex data led organisation Deep understanding & hands-on leverage of Modern, Cloud scale Data Technologies, with specific expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB) A track record in leading the architecture vision, design & implementation of Enterprise scale data applications, with specific focus on Distributed Data Processing systems, Data LakeHouse, Data Products, Streaming data, ML & AI platform capabilities Working knowledge of ML and Generative AI, including the leverage of Agentic AI based systems within the Architecture and Software Development lifecycle Excellent communication skills, effortlessly navigating across tech, architecture, product and senior stakeholders to achieve alignment Proficiency in software development principles, patterns, and practices including CI/CD Passion for growing architectural and data led thinking, with experience in embedding & scaling this within in a large Enterprise setting An ability to shape the adoption of modern Data Technology and support the evolution of a Data driven culture, across a scaled, cross functional organisation There is no one type of architect; you are the glue that adds value where it's needed. To achieve this you are flexible, adapting your approach to meet the needs of the team, initiative, or product. You solicit differing views, are willing to change your mind and perspective as you learn more, and are adept at building consensus to align stakeholders to a common direction Experience in Financial Services or Regulated sector beneficial Where and how you'll work This is a permanent position which can be based in either our London or Nottingham offices. We embrace a hybrid approach to work. You'll spend three days a week in the office (Tuesday-Thursday), with Monday and Friday being dedicated work-from-home days. Our offices are designed to inspire and support you. At our Nottingham head office, you'll find an on-site gym, restaurant and dedicated Learning Loft. Our London office boasts a rooftop running track and coffee bar. What's in it for you We invest in the growth of our people alongside our business. You will have extensive opportunities to learn and develop your career, including access to up to £5,000 in funding for external qualifications. In addition to career development, our comprehensive benefits package is designed to grow with you, ensuring your wellbeing is prioritised at every stage of your career: Wealth & Future: Competitive pension and performance-based bonus schemes Holidays: Start with 25 days of annual leave, increasing with tenure. Need more? You have the option to buy 5 additional days. Health: Access premium care through our private medical insurance. Family Support: We champion your milestones with enhanced parental leave. A full list of our benefits is available here . What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We value diversity, inclusion and belonging at our core. We empower our associates to do great work by creating an inclusive culture-one that values diverse perspectives, fosters collaboration and encourages innovative ideas-and a place where associates of all backgrounds can thrive by bringing their most authentic selves to work. We call this our Culture of Belonging, and it rests at the heart of our business. Our associate-led Business Resource Groups were created to help support our diverse population and include over 10 groups across our offices. Because each Business Resource Group is as unique as the population it serves, they offer a range of activities, networking opportunities, special events and learning programs to associates. Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing . click apply for full job details
Sep 29, 2026
Full time
White Collar Factory (95009), United Kingdom, London, London Senior Manager Architect - Data Location: London or Nottingham - Hybrid Working Pattern: 3 days in-office (Tuesday-Thursday) and 2 days remote Our Mission We're on a mission to be a force for good in lending. Throughout our almost 30-year history, we've consistently been recognised as a great place to work; in 2026, Capital One was officially ranked 9th in the UK's Best Workplaces list. Hear from our team about what it's like working at Capital One UK. About the role Do you love shaping the architectural technical direction of large, complex Data transformation initiatives? It's an exciting time at Capital One UK - We're on a mission to unlock organisational pace and Data agility, through creating our next generation, cloud-based data ecosystem, to unlock the power of data, increase financial inclusion and deliver transformative, real-time, intelligent experiences to our customers. Capital One's Data team is responsible for the data ecosystem, which covers the holistic data lifecycle, from the capture of high-quality customer data in real-time, the structuring, storage and processing of that data for insight, to the usage of the data in event driven applications, ML and AI. As a Senior Manager Architect in Data you will be an experienced technical leader bringing business, industry and deep technical understanding to shape the architecture direction and evolution of the data ecosystem, across Cloud-scale Distributed Data Processing, Storage & Curated Data Consumption. You will invest in architecture excellence across the Data team, and foster innovation to unlock value across our user community of Engineers, Data Scientists, Data Analysts & Data Governance associates. Come and help us shape the future of financial services in the Cloud. What you'll do Shape the architecture direction and evolution of the data ecosystem, across Cloud-scale Distributed Data Processing, Storage & Curated Data Consumption Influence Senior stakeholders, Internal customers & Enterprise partners, gaining consensus on key technology decisions and architecture direction of the data ecosystem Own and evolve architecture artefacts including reference architectures, Architecture Decision Records, and technical standards for your domain Partner with Product Management, Engineering, Cyber and our user community of Engineers, Data Scientists, Data Analysts and Data Governance associates, solving their challenges through Data Technology, to unlock business value Be a passionate advocate for the data ecosystem and data technology, driving wide awareness and usage aligned to Enterprise architecture standards and patterns Enable simplification across our architecture, processes and technologies, by encouraging and fostering UK standardisation, the reuse of appropriate industry SaaS solutions, and adoption of Enterprise standards, patterns, capabilities and platforms as appropriate for each use case Nurture and grow architecture excellence & culture within the Data team, leading technical design reviews & driving architecture best practice both within the team and the broader Architecture organisation Collaborate with your peers in UK architecture and engage in the wider Enterprise architecture group What you'll bring Demonstrable experience as a hands-on Senior Manager Architect, in a large, complex data led organisation Deep understanding & hands-on leverage of Modern, Cloud scale Data Technologies, with specific expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB) A track record in leading the architecture vision, design & implementation of Enterprise scale data applications, with specific focus on Distributed Data Processing systems, Data LakeHouse, Data Products, Streaming data, ML & AI platform capabilities Working knowledge of ML and Generative AI, including the leverage of Agentic AI based systems within the Architecture and Software Development lifecycle Excellent communication skills, effortlessly navigating across tech, architecture, product and senior stakeholders to achieve alignment Proficiency in software development principles, patterns, and practices including CI/CD Passion for growing architectural and data led thinking, with experience in embedding & scaling this within in a large Enterprise setting An ability to shape the adoption of modern Data Technology and support the evolution of a Data driven culture, across a scaled, cross functional organisation There is no one type of architect; you are the glue that adds value where it's needed. To achieve this you are flexible, adapting your approach to meet the needs of the team, initiative, or product. You solicit differing views, are willing to change your mind and perspective as you learn more, and are adept at building consensus to align stakeholders to a common direction Experience in Financial Services or Regulated sector beneficial Where and how you'll work This is a permanent position which can be based in either our London or Nottingham offices. We embrace a hybrid approach to work. You'll spend three days a week in the office (Tuesday-Thursday), with Monday and Friday being dedicated work-from-home days. Our offices are designed to inspire and support you. At our Nottingham head office, you'll find an on-site gym, restaurant and dedicated Learning Loft. Our London office boasts a rooftop running track and coffee bar. What's in it for you We invest in the growth of our people alongside our business. You will have extensive opportunities to learn and develop your career, including access to up to £5,000 in funding for external qualifications. In addition to career development, our comprehensive benefits package is designed to grow with you, ensuring your wellbeing is prioritised at every stage of your career: Wealth & Future: Competitive pension and performance-based bonus schemes Holidays: Start with 25 days of annual leave, increasing with tenure. Need more? You have the option to buy 5 additional days. Health: Access premium care through our private medical insurance. Family Support: We champion your milestones with enhanced parental leave. A full list of our benefits is available here . What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We value diversity, inclusion and belonging at our core. We empower our associates to do great work by creating an inclusive culture-one that values diverse perspectives, fosters collaboration and encourages innovative ideas-and a place where associates of all backgrounds can thrive by bringing their most authentic selves to work. We call this our Culture of Belonging, and it rests at the heart of our business. Our associate-led Business Resource Groups were created to help support our diverse population and include over 10 groups across our offices. Because each Business Resource Group is as unique as the population it serves, they offer a range of activities, networking opportunities, special events and learning programs to associates. Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing . click apply for full job details
