Slingshot AI Slingshot AI is the team behind Ash, the first AI designed for mental health. Our mission is to make support more accessible and help people change their lives in the ways they want. We're building a world-class team by empowering individuals with the autonomy, flexibility, and support they need to do their best work. We dream big, iterate fast, and care deeply. If that sounds like you, we'd love to hear from you. Our team spans machine learning, product, engineering, conversational design, clinical, growth, and operations, with offices in both New York City and London. We're a well-funded Series A company, having raised $93M from Andreessen Horowitz, Radical Ventures, Forerunner Ventures, plus top-tier tech investors involved in ElevenLabs, Captions, Shopify, Plaid, Notion, Canva, Twitch, Airtable, and many others. The role This is a chance to join a passionate team leveraging cutting-edge AI to improve mental health access globally. As a Senior Product Engineer, you will play a critical role in making Ash an even more engaging and effective product. You will work in a cross functional Product team containing traditional product, design, and software development expertise as well as machine learning/AI specialists. Your work will span the entire stack end-to-end, from developing new features in the app, to behind the scenes automations and integrations to make Ash a more powerful tool. As a core member of a small but highly skilled team, we expect you to act as an owner and to care passionately about delivering value to our users and ultimately to make people's lives better. We are looking for builders that care about the work being done and want to be part of shaping what Ash is, not just complete what's in a ticket. Our tech stack uses Dart/Flutter for the app, Kotlin for core backend services, Python for our ML work, Next.js/Typescript for internal tooling, as well as Rust for low level media streaming. We use gRPC and GCP (Kubernetes, Cloud Run) as our primary cloud provider. You're not required to be an expert in all of these tools, but we would like you to come with a learning mindset and to not be afraid of getting your hands dirty with whatever tool the job might require. About you: Thrive building mobile and web applications zero-to-one. Working with different technologies across the whole vertical, including frontend, databases, and any relevant infrastructure. Driven by building a world-class product with a world-class team, want to own what you build, and you're comfortable building and throwing away code. Strong software engineering experience in multiple general-purpose programming languages and with modern technologies and architectures. Experience working in a fast paced environment, working at lightning speed to ship fast. Self starter and a keen learner with an ability to pick up new tools, languages, and concepts on the job. We don't need you to be a Machine Learning Engineer, but having an interest in AI helps! Key responsibilities: Collaborate within our core Engineering team, Product Manager and Designer to quickly design, build, and launch new features in our app, taking ownership of the whole stack. We encourage everyone to be comfortable working in all parts of our stack, which includes the app (Dart/Flutter), internal tooling (Next.js/TypeScript), and ML scripts for evaluation, data processing, and model training (Python). Elevate user experience by continually refining app reliability, performance, and polish. Rapidly investigate, diagnose, and resolve bugs to ensure product stability. Taking initiative to independently prototype new features based on customer feedback and your own product intuitions. What we offer: A chance to join a passionate tight-knit team working on something to change the world Competitive compensation (top of personal market) Travel between our NYC / London offices Usual startup perks like free lunch and coffee in office + generous learning budget We cover your personal therapy
25/05/2026
Full time
Slingshot AI Slingshot AI is the team behind Ash, the first AI designed for mental health. Our mission is to make support more accessible and help people change their lives in the ways they want. We're building a world-class team by empowering individuals with the autonomy, flexibility, and support they need to do their best work. We dream big, iterate fast, and care deeply. If that sounds like you, we'd love to hear from you. Our team spans machine learning, product, engineering, conversational design, clinical, growth, and operations, with offices in both New York City and London. We're a well-funded Series A company, having raised $93M from Andreessen Horowitz, Radical Ventures, Forerunner Ventures, plus top-tier tech investors involved in ElevenLabs, Captions, Shopify, Plaid, Notion, Canva, Twitch, Airtable, and many others. The role This is a chance to join a passionate team leveraging cutting-edge AI to improve mental health access globally. As a Senior Product Engineer, you will play a critical role in making Ash an even more engaging and effective product. You will work in a cross functional Product team containing traditional product, design, and software development expertise as well as machine learning/AI specialists. Your work will span the entire stack end-to-end, from developing new features in the app, to behind the scenes automations and integrations to make Ash a more powerful tool. As a core member of a small but highly skilled team, we expect you to act as an owner and to care passionately about delivering value to our users and ultimately to make people's lives better. We are looking for builders that care about the work being done and want to be part of shaping what Ash is, not just complete what's in a ticket. Our tech stack uses Dart/Flutter for the app, Kotlin for core backend services, Python for our ML work, Next.js/Typescript for internal tooling, as well as Rust for low level media streaming. We use gRPC and GCP (Kubernetes, Cloud Run) as our primary cloud provider. You're not required to be an expert in all of these tools, but we would like you to come with a learning mindset and to not be afraid of getting your hands dirty with whatever tool the job might require. About you: Thrive building mobile and web applications zero-to-one. Working with different technologies across the whole vertical, including frontend, databases, and any relevant infrastructure. Driven by building a world-class product with a world-class team, want to own what you build, and you're comfortable building and throwing away code. Strong software engineering experience in multiple general-purpose programming languages and with modern technologies and architectures. Experience working in a fast paced environment, working at lightning speed to ship fast. Self starter and a keen learner with an ability to pick up new tools, languages, and concepts on the job. We don't need you to be a Machine Learning Engineer, but having an interest in AI helps! Key responsibilities: Collaborate within our core Engineering team, Product Manager and Designer to quickly design, build, and launch new features in our app, taking ownership of the whole stack. We encourage everyone to be comfortable working in all parts of our stack, which includes the app (Dart/Flutter), internal tooling (Next.js/TypeScript), and ML scripts for evaluation, data processing, and model training (Python). Elevate user experience by continually refining app reliability, performance, and polish. Rapidly investigate, diagnose, and resolve bugs to ensure product stability. Taking initiative to independently prototype new features based on customer feedback and your own product intuitions. What we offer: A chance to join a passionate tight-knit team working on something to change the world Competitive compensation (top of personal market) Travel between our NYC / London offices Usual startup perks like free lunch and coffee in office + generous learning budget We cover your personal therapy
Artificial Intelligence & Automation Data Engineer Location: United Kingdom Ref: REF4155A Job Function: Information Technology Responsibilities Establish, manage, and evolve the company's Data, AI and Automation processes, support senior management in developing and achieving the organisations strategic plan as well as the development and delivery of the data, AI and Automation capabilities. Oversee the development and use of data, AI and Automation systems, driving the adoption of a centralised standard of these solutions across Smiths Group and its divisions, actively promoting CoDe. capabilities. Solutioning innovative ways to organise, AI and Automation processes through the creation and validation of algorithms, neural networks, and other machine learning techniques. Provide leadership on the implementation of security & authorisations best practice for accessing AI and Automation solutions. Work proactively with internal and key business partners that contribute to the delivery of analytic, AI models through projects and BAU, exploring new analytics and dashboard tools and where appropriate advice on new solutions that can improve the effectiveness of organisation. Help to solution, implement and maintain operating models that optimise onshore and offshore resourcing to create the maximum value for Smiths Group Manage and distribute workloads to the D&A team members, balancing the key strengths of the D&A team along with career aspirations, providing direction and day-to-day oversight, striving to deliver outstanding results. Take leading role in the growth of Team and support the development of D&A and Divisional team members through coaching and mentoring Data Develop Data, AI and automation solutions. Test, deploy, and maintain intelligent systems. Collaborate with data scientists and other engineers to integrate AI into broader system architecture. Stay current with AI trends and suggest improvements to existing systems and workflows. Create a Roadmap that delivers the vision and embeds capabilities to ensure master/reference data, data quality management, data cataloguing, data governance, traceability are established and governed as a foundational pillar, ensuring the use of trusted high-quality data across BIS and all divisions. Developing and managing data platform; data management; and tooling and access controls for all business and technical users Provide business focused data-related guidance and thought leadership across data architecture, data governance and data integration, and the associated technologies Ensure all D&A deliveries are performance assessed and can execute within response times within business acceptable criteria. Lead on the development and maintenance of dashboards, forms, and other tools to facilitate the interaction with data management systems for non-technical users Implement and regularly review existing data management policies to make sure that they are up to date and effective, revising and improving as necessary Collaborate across the Smiths divisions to discuss any data problems, new or additional requirements and support project specification development. Support the creation of Data Analytic Models and Data Visualisations (eg PowerBI) within the Azure platform. Own and govern the code promotion process for Analytic Models and Visualisation code sets into the QA and production environments. Organise, store and analyse data as efficiently as possible, while always upholding agreed-upon security standards Manage PowerBI Licences, Gateways and Microsoft visual studio installed in Smiths. Develop documentation and training material for applications. Evaluate, design, implement and support new requirements or database changes using associated business requirements and design documents. Design and develop new analytics / models using the new data sets to expedite data analysis and reporting. Provide technical oversight for integrating new technology or new initiatives into existing data standards and structures. Monitor and analyse information and data systems and evaluate their performance to discover ways of enhancing them (new technologies, upgrades etc.) Ensure the integrity, confidentiality, and security of all developed solutions. Establish rules and procedures for data sharing with upper management, external stakeholders etc. Create and enforce policies for effective data management. Support others in the daily use of data systems and ensure adherence to legal and company standards. Provide regular progress reports to your manager on BAU activities and progress against project deliverables. Regularly provide accurate availability/capacity reports for the D&A team to assist with project planning and future recruitment needs. Act as a mentor to new super users within the Divisions using PowerBI technology. Lead the weekly team meeting, owning the agenda and encouraging engagement from the D&A team Qualifications Educated to degree level or equivalent. Experience with machine learning, deep learning, NLP, and computer vision. Proficiency in Python, Java, and R Strong knowledge of AI frameworks such as TensorFlow or PyTorch. Experience in Data Science techniques and methodologies. Excellent problem-solving skills and ability to work in a team environment. Thorough and proven understanding of the principles of data security, management, and administration Proficient at digesting and analysing large amounts of data. Excellent understanding of data administration and management functions (collection, analysis, distribution etc.) Experience in working with offshore and onshore support model. Experience in working with information technology. Experience in BI tools (PowerBi, OBIEE, Tableau, QlickView etc). Good knowledge of SQL language and simple analysis techniques to profile data Technical experience and knowledge in On-Premise and Public Cloud Data Services focused on: Database architecture, ETL, Data Mining, Business Intelligence, Big Data, Data Governance, Data quality, Data Cleansing Experience with Microsoft Azure a plus: Azure SQL Database, Analysis Services, Databricks, Data Lake, Logic Apps and Data Factory Understanding of Big Data technologies (Hadoop, Spark) Able to create rich visualisations that appropriately represent the underlying datasets. Review and align the reporting attributes against the Enterprise and conceptual data models Business functional knowledge - able to work with Business SMEs to relate the process to the underlying data. ERP experience and implementations (nice to have) Excellent organisational and project management skills Passionate and curious about new technology and the tech industry Excellent verbal and written communication skills with the ability to interact at all levels within the Smiths Group General understanding of PaaS Concepts - ideally in MS-Azure Cloud BI experience could be an asset Diversity & Inclusion We believe that different perspectives and backgrounds are what make a company flourish. All qualified applicants will receive equal consideration for employment regardless of race, colour, religion, sex, sexual orientation, gender identity, national origin, economic status, disability, age, or any other legally protected characteristics. We are proud to be an inclusive company with values grounded in equality and ethics, where we celebrate, support, and embrace diversity. At no time during the hiring process will Smiths Group, nor any of our recruitment partners ever request payment to enable participation - including, but not limited to, interviews or testing. Avoid fraudulent requests by applying jobs directly through our career's website (Careers - Smiths Group plc ).
25/05/2026
Full time
Artificial Intelligence & Automation Data Engineer Location: United Kingdom Ref: REF4155A Job Function: Information Technology Responsibilities Establish, manage, and evolve the company's Data, AI and Automation processes, support senior management in developing and achieving the organisations strategic plan as well as the development and delivery of the data, AI and Automation capabilities. Oversee the development and use of data, AI and Automation systems, driving the adoption of a centralised standard of these solutions across Smiths Group and its divisions, actively promoting CoDe. capabilities. Solutioning innovative ways to organise, AI and Automation processes through the creation and validation of algorithms, neural networks, and other machine learning techniques. Provide leadership on the implementation of security & authorisations best practice for accessing AI and Automation solutions. Work proactively with internal and key business partners that contribute to the delivery of analytic, AI models through projects and BAU, exploring new analytics and dashboard tools and where appropriate advice on new solutions that can improve the effectiveness of organisation. Help to solution, implement and maintain operating models that optimise onshore and offshore resourcing to create the maximum value for Smiths Group Manage and distribute workloads to the D&A team members, balancing the key strengths of the D&A team along with career aspirations, providing direction and day-to-day oversight, striving to deliver outstanding results. Take leading role in the growth of Team and support the development of D&A and Divisional team members through coaching and mentoring Data Develop Data, AI and automation solutions. Test, deploy, and maintain intelligent systems. Collaborate with data scientists and other engineers to integrate AI into broader system architecture. Stay current with AI trends and suggest improvements to existing systems and workflows. Create a Roadmap that delivers the vision and embeds capabilities to ensure master/reference data, data quality management, data cataloguing, data governance, traceability are established and governed as a foundational pillar, ensuring the use of trusted high-quality data across BIS and all divisions. Developing and managing data platform; data management; and tooling and access controls for all business and technical users Provide business focused data-related guidance and thought leadership across data architecture, data governance and data integration, and the associated technologies Ensure all D&A deliveries are performance assessed and can execute within response times within business acceptable criteria. Lead on the development and maintenance of dashboards, forms, and other tools to facilitate the interaction with data management systems for non-technical users Implement and regularly review existing data management policies to make sure that they are up to date and effective, revising and improving as necessary Collaborate across the Smiths divisions to discuss any data problems, new or additional requirements and support project specification development. Support the creation of Data Analytic Models and Data Visualisations (eg PowerBI) within the Azure platform. Own and govern the code promotion process for Analytic Models and Visualisation code sets into the QA and production environments. Organise, store and analyse data as efficiently as possible, while always upholding agreed-upon security standards Manage PowerBI Licences, Gateways and Microsoft visual studio installed in Smiths. Develop documentation and training material for applications. Evaluate, design, implement and support new requirements or database changes using associated business requirements and design documents. Design and develop new analytics / models using the new data sets to expedite data analysis and reporting. Provide technical oversight for integrating new technology or new initiatives into existing data standards and structures. Monitor and analyse information and data systems and evaluate their performance to discover ways of enhancing them (new technologies, upgrades etc.) Ensure the integrity, confidentiality, and security of all developed solutions. Establish rules and procedures for data sharing with upper management, external stakeholders etc. Create and enforce policies for effective data management. Support others in the daily use of data systems and ensure adherence to legal and company standards. Provide regular progress reports to your manager on BAU activities and progress against project deliverables. Regularly provide accurate availability/capacity reports for the D&A team to assist with project planning and future recruitment needs. Act as a mentor to new super users within the Divisions using PowerBI technology. Lead the weekly team meeting, owning the agenda and encouraging engagement from the D&A team Qualifications Educated to degree level or equivalent. Experience with machine learning, deep learning, NLP, and computer vision. Proficiency in Python, Java, and R Strong knowledge of AI frameworks such as TensorFlow or PyTorch. Experience in Data Science techniques and methodologies. Excellent problem-solving skills and ability to work in a team environment. Thorough and proven understanding of the principles of data security, management, and administration Proficient at digesting and analysing large amounts of data. Excellent understanding of data administration and management functions (collection, analysis, distribution etc.) Experience in working with offshore and onshore support model. Experience in working with information technology. Experience in BI tools (PowerBi, OBIEE, Tableau, QlickView etc). Good knowledge of SQL language and simple analysis techniques to profile data Technical experience and knowledge in On-Premise and Public Cloud Data Services focused on: Database architecture, ETL, Data Mining, Business Intelligence, Big Data, Data Governance, Data quality, Data Cleansing Experience with Microsoft Azure a plus: Azure SQL Database, Analysis Services, Databricks, Data Lake, Logic Apps and Data Factory Understanding of Big Data technologies (Hadoop, Spark) Able to create rich visualisations that appropriately represent the underlying datasets. Review and align the reporting attributes against the Enterprise and conceptual data models Business functional knowledge - able to work with Business SMEs to relate the process to the underlying data. ERP experience and implementations (nice to have) Excellent organisational and project management skills Passionate and curious about new technology and the tech industry Excellent verbal and written communication skills with the ability to interact at all levels within the Smiths Group General understanding of PaaS Concepts - ideally in MS-Azure Cloud BI experience could be an asset Diversity & Inclusion We believe that different perspectives and backgrounds are what make a company flourish. All qualified applicants will receive equal consideration for employment regardless of race, colour, religion, sex, sexual orientation, gender identity, national origin, economic status, disability, age, or any other legally protected characteristics. We are proud to be an inclusive company with values grounded in equality and ethics, where we celebrate, support, and embrace diversity. At no time during the hiring process will Smiths Group, nor any of our recruitment partners ever request payment to enable participation - including, but not limited to, interviews or testing. Avoid fraudulent requests by applying jobs directly through our career's website (Careers - Smiths Group plc ).
At IBM Consulting UK FutureNow, you'll build a career at the forefront of hybrid cloud and AI, working with leading clients across the public and private sectors. You'll collaborate with top industry professionals, gain hands on experience with cutting edge technologies, and deliver solutions that create real business impact. From day one, you'll work on meaningful, high profile programmes that stretch your skills and accelerate your growth. We invest heavily in you-supporting continuous learning, in demand skills development, and long term career progression. You'll thrive in a flexible, inclusive environment that values curiosity, encourages reinvention, and recognises what makes you unique. Benefits Tools and policies to support your work life balance from flexible working approaches, sabbatical programs, paid paternity leave, maternity leave and an innovative maternity returners scheme More traditional benefits, such as 25 days holiday (in addition to public holidays), private medical, dental & optical cover, online shopping discounts, an Employee Assistance Program, life assurance and a group pension plan through salary sacrifice. In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Role & Responsibilities As a Senior Data Engineer within Data & Analytics Platforms, you will lead the design and delivery of scalable, reliable data engineering solutions that underpin analytics, data science, and AI use cases across client environments. You will work across modern data platforms, integrations, and pipelines, supporting a wide range of analytical and AI driven projects. This role focuses on building the data foundations required for advanced analytics and AI, working closely with data scientists and client stakeholders to ensure data is accessible, trusted, and fit for purpose. Lead the design and development of robust data pipelines and data platforms to support analytics and AI workloads Build and maintain batch and streaming data solutions, including ingestion, transformation, and orchestration Design appropriate data models using relational, dimensional, or other modelling techniques, selecting approaches based on the requirements of analytics, reporting, and data science use Collaborate across multiple teams and client stakeholders to design and deliver end-to-end data and AI solutions within the wider client technology Work across cloud based data platforms and services (e.g. AWS, Azure, or GCP) Design and deliver data solutions that are functionally correct and fit for purpose, while meeting non-functional requirements such as security, performance, resilience, and maintainability Support and guide junior engineers through technical leadership and mentoring Contribute to platform and engineering standards, best practices, and continuous improvement across engagements Qualifications Required education None Preferred education Bachelor's Degree Required technical and professional expertise Strong experience with Python, SQL, and data engineering frameworks or tools Proven experience designing and delivering data pipelines and data platforms in a professional environment Hands on experience with cloud data services (e.g. Azure Data Factory, Databricks, Synapse, AWS Glue, Redshift, BigQuery, or equivalents) Experience working with relational and/or NoSQL databases Solid understanding of data modelling, integration patterns, and data quality principles Strong problem solving and communication skills, with experience working in multidisciplinary delivery teams Preferred technical and professional experience Familiarity with data pipeline orchestration tools (e.g., Apache Airflow, Luigi). Knowledge of data quality and metadata management practices. Understanding of data virtualisation and data federation techniques. Experience with big data technologies (e.g., Hadoop, Spark). Experience supporting analytics, data science, or machine learning use cases Exposure to streaming or event driven architectures (e.g. Kafka or equivalent) Experience with CI/CD, infrastructure as code, or platform automation Background delivering solutions in regulated or security constrained environments such as public sector or financial services Background Check This role is subject to pre employment screening in line with the UK Government's Baseline Personnel Security Standard (BPSS). An additional range of Personal Security Controls referred to as National Security Vetting (NVS) may apply, this could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV). IBM is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
25/05/2026
Full time
At IBM Consulting UK FutureNow, you'll build a career at the forefront of hybrid cloud and AI, working with leading clients across the public and private sectors. You'll collaborate with top industry professionals, gain hands on experience with cutting edge technologies, and deliver solutions that create real business impact. From day one, you'll work on meaningful, high profile programmes that stretch your skills and accelerate your growth. We invest heavily in you-supporting continuous learning, in demand skills development, and long term career progression. You'll thrive in a flexible, inclusive environment that values curiosity, encourages reinvention, and recognises what makes you unique. Benefits Tools and policies to support your work life balance from flexible working approaches, sabbatical programs, paid paternity leave, maternity leave and an innovative maternity returners scheme More traditional benefits, such as 25 days holiday (in addition to public holidays), private medical, dental & optical cover, online shopping discounts, an Employee Assistance Program, life assurance and a group pension plan through salary sacrifice. In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Role & Responsibilities As a Senior Data Engineer within Data & Analytics Platforms, you will lead the design and delivery of scalable, reliable data engineering solutions that underpin analytics, data science, and AI use cases across client environments. You will work across modern data platforms, integrations, and pipelines, supporting a wide range of analytical and AI driven projects. This role focuses on building the data foundations required for advanced analytics and AI, working closely with data scientists and client stakeholders to ensure data is accessible, trusted, and fit for purpose. Lead the design and development of robust data pipelines and data platforms to support analytics and AI workloads Build and maintain batch and streaming data solutions, including ingestion, transformation, and orchestration Design appropriate data models using relational, dimensional, or other modelling techniques, selecting approaches based on the requirements of analytics, reporting, and data science use Collaborate across multiple teams and client stakeholders to design and deliver end-to-end data and AI solutions within the wider client technology Work across cloud based data platforms and services (e.g. AWS, Azure, or GCP) Design and deliver data solutions that are functionally correct and fit for purpose, while meeting non-functional requirements such as security, performance, resilience, and maintainability Support and guide junior engineers through technical leadership and mentoring Contribute to platform and engineering standards, best practices, and continuous improvement across engagements Qualifications Required education None Preferred education Bachelor's Degree Required technical and professional expertise Strong experience with Python, SQL, and data engineering frameworks or tools Proven experience designing and delivering data pipelines and data platforms in a professional environment Hands on experience with cloud data services (e.g. Azure Data Factory, Databricks, Synapse, AWS Glue, Redshift, BigQuery, or equivalents) Experience working with relational and/or NoSQL databases Solid understanding of data modelling, integration patterns, and data quality principles Strong problem solving and communication skills, with experience working in multidisciplinary delivery teams Preferred technical and professional experience Familiarity with data pipeline orchestration tools (e.g., Apache Airflow, Luigi). Knowledge of data quality and metadata management practices. Understanding of data virtualisation and data federation techniques. Experience with big data technologies (e.g., Hadoop, Spark). Experience supporting analytics, data science, or machine learning use cases Exposure to streaming or event driven architectures (e.g. Kafka or equivalent) Experience with CI/CD, infrastructure as code, or platform automation Background delivering solutions in regulated or security constrained environments such as public sector or financial services Background Check This role is subject to pre employment screening in line with the UK Government's Baseline Personnel Security Standard (BPSS). An additional range of Personal Security Controls referred to as National Security Vetting (NVS) may apply, this could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV). IBM is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Select how often (in days) to receive an alert: Senior AI Engineer, IT Solutions 1 1 Date: May 23, 2026 Location: Remote Employee Europe, SHR, GB General Overview Functional Area: Information Technology (ITM) Career Stream: IT Solutions Role: Technical Lead (TEL) Job Title: Technical Lead, IT Solutions Job Code: TL-ITM-SOLN Job Level: Level 10 Direct/Indirect Indicator: Indirect Summary Detailed Description AI Solution Scoping & Requirements: Elicit and document technical requirements for AI and Machine Learning projects through workshops and deep dives with stakeholders across various departments. Define the technical feasibility of proposed AI use cases, identifying appropriate model architectures (LLMs, SLMs, or traditional ML) and success metrics (Accuracy, F1-score, Perplexity, etc.). Analyze existing business processes to identify automation opportunities and areas where Generative AI can provide a competitive advantage. Work with stakeholders to identify and prepare high-quality datasets for model training, fine-tuning, and grounding. Design and implement data ingestion pipelines for vector databases, ensuring data integrity and optimal embedding strategies for Retrieval-Augmented Generation (RAG). Collaborate with data engineers to ensure scalable, secure, and compliant data flows between enterprise systems and AI models. Develop, test, and refine AI prompts and orchestration workflows using frameworks like LangChain, LlamaIndex, or Semantic Kernel. Evaluate and select appropriate foundation models (OpenAI, Anthropic, Llama, etc.) based on performance, cost, and latency requirements. Translate business logic into technical specifications for API integrations, model endpoints, and user interfaces. MLOps, Deployment & Monitoring: Implement MLOps best practices to ensure the continuous integration and deployment (CI/CD) of AI models. Establish monitoring frameworks to track model performance, "drift," and hallucination rates in production environments. Ensure AI solutions adhere to corporate data governance, security, and ethical AI principles. 11+ years of experience in Information Technology, Software Engineering, or Data Science, with a significant focus on AI/ML development. Strong understanding of Generative AI landscapes, including LLMs, prompt engineering, and vector databases (e.g., Pinecone, Weaviate, Milvus). Proven ability to architect end-to-end AI solutions from discovery to production deployment. Excellent communication skills, with the ability to explain complex technical AI concepts to non-technical business leaders. Advanced proficiency in Python and relevant libraries (NumPy, Pandas, PyTorch, or TensorFlow). Experience with Cloud AI Services (Azure AI Studio, AWS Bedrock, or Google Vertex AI Preferred ). Knowledge of SQL and advanced data modeling for structured and unstructured data. Familiarity with MLOps tools (MLflow, Kubeflow) and containerization (Docker, Kubernetes). Experience working in an Agile/Scrum development environment. Knowledge of AI security frameworks and responsible AI practices (e.g., OWASP for LLMs, MCP). Industry experience in manufacturing or a related industrial sector. Physical Demands Duties of this position are performed in a normal office environment. Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data. Repetitive manual movements (e.g., data entry, using a computer mouse, using a calculator, etc.) are frequently required. Typical Experience 11+ years of progressive experience in technical roles, with at least 3-5 years specifically focused on AI/ML engineering or architecture. Proven track record of delivering production-grade AI applications. AI-related certifications (e.g., Azure AI Engineer Associate, AWS Machine Learning Specialty) are highly preferred. Typical Education Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, or a related field; or a robust combination of work experience and specialized AI certification. Notes Celestica is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws. This policy applies to hiring, promotion, discharge, pay, fringe benefits, job training, classification, referral and other aspects of employment and also states that retaliation against a person who files a charge of discrimination, participates in a discrimination proceeding, or otherwise opposes an unlawful employment practice will not be tolerated. All information will be kept confidential according to EEO guidelines. Celestica is an E-Verify employer. Location: This is a remote position, with travel as necessary. We are open to considering candidates close to any of our US locations in Massachusetts, Pennsylvania, Minnesota, Texas, Arizona, Oregon or California as well as locations near major airports such as the Northeast, Southeast, Midwest and Pacific Coast. COMPANY OVERVIEW: Celestica (NYSE, TSX: CLS) enables the world's best brands. Through our recognized customer-centric approach, we partner with leading companies in Aerospace and Defense, Communications, Enterprise, HealthTech, Industrial, Capital Equipment and Energy to deliver solutions for their most complex challenges. As a leader in design, manufacturing, hardware platform and supply chain solutions, Celestica brings global expertise and insight at every stage of product development - from drawing board to full-scale production and after-market services for products from advanced medical devices, to highly engineered aviation systems, to next-generation hardware platform solutions for the Cloud.Headquartered in Toronto, with talented teams spanning 40+ locations in 13 countries across the Americas, Europe and Asia, we imagine, develop and deliver a better future with our customers. Celestica would like to thank all applicants, however, only qualified applicants will be contacted. Celestica does not accept unsolicited resumes from recruitment agencies or fee based recruitment services.
25/05/2026
Full time
Select how often (in days) to receive an alert: Senior AI Engineer, IT Solutions 1 1 Date: May 23, 2026 Location: Remote Employee Europe, SHR, GB General Overview Functional Area: Information Technology (ITM) Career Stream: IT Solutions Role: Technical Lead (TEL) Job Title: Technical Lead, IT Solutions Job Code: TL-ITM-SOLN Job Level: Level 10 Direct/Indirect Indicator: Indirect Summary Detailed Description AI Solution Scoping & Requirements: Elicit and document technical requirements for AI and Machine Learning projects through workshops and deep dives with stakeholders across various departments. Define the technical feasibility of proposed AI use cases, identifying appropriate model architectures (LLMs, SLMs, or traditional ML) and success metrics (Accuracy, F1-score, Perplexity, etc.). Analyze existing business processes to identify automation opportunities and areas where Generative AI can provide a competitive advantage. Work with stakeholders to identify and prepare high-quality datasets for model training, fine-tuning, and grounding. Design and implement data ingestion pipelines for vector databases, ensuring data integrity and optimal embedding strategies for Retrieval-Augmented Generation (RAG). Collaborate with data engineers to ensure scalable, secure, and compliant data flows between enterprise systems and AI models. Develop, test, and refine AI prompts and orchestration workflows using frameworks like LangChain, LlamaIndex, or Semantic Kernel. Evaluate and select appropriate foundation models (OpenAI, Anthropic, Llama, etc.) based on performance, cost, and latency requirements. Translate business logic into technical specifications for API integrations, model endpoints, and user interfaces. MLOps, Deployment & Monitoring: Implement MLOps best practices to ensure the continuous integration and deployment (CI/CD) of AI models. Establish monitoring frameworks to track model performance, "drift," and hallucination rates in production environments. Ensure AI solutions adhere to corporate data governance, security, and ethical AI principles. 11+ years of experience in Information Technology, Software Engineering, or Data Science, with a significant focus on AI/ML development. Strong understanding of Generative AI landscapes, including LLMs, prompt engineering, and vector databases (e.g., Pinecone, Weaviate, Milvus). Proven ability to architect end-to-end AI solutions from discovery to production deployment. Excellent communication skills, with the ability to explain complex technical AI concepts to non-technical business leaders. Advanced proficiency in Python and relevant libraries (NumPy, Pandas, PyTorch, or TensorFlow). Experience with Cloud AI Services (Azure AI Studio, AWS Bedrock, or Google Vertex AI Preferred ). Knowledge of SQL and advanced data modeling for structured and unstructured data. Familiarity with MLOps tools (MLflow, Kubeflow) and containerization (Docker, Kubernetes). Experience working in an Agile/Scrum development environment. Knowledge of AI security frameworks and responsible AI practices (e.g., OWASP for LLMs, MCP). Industry experience in manufacturing or a related industrial sector. Physical Demands Duties of this position are performed in a normal office environment. Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data. Repetitive manual movements (e.g., data entry, using a computer mouse, using a calculator, etc.) are frequently required. Typical Experience 11+ years of progressive experience in technical roles, with at least 3-5 years specifically focused on AI/ML engineering or architecture. Proven track record of delivering production-grade AI applications. AI-related certifications (e.g., Azure AI Engineer Associate, AWS Machine Learning Specialty) are highly preferred. Typical Education Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, or a related field; or a robust combination of work experience and specialized AI certification. Notes Celestica is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws. This policy applies to hiring, promotion, discharge, pay, fringe benefits, job training, classification, referral and other aspects of employment and also states that retaliation against a person who files a charge of discrimination, participates in a discrimination proceeding, or otherwise opposes an unlawful employment practice will not be tolerated. All information will be kept confidential according to EEO guidelines. Celestica is an E-Verify employer. Location: This is a remote position, with travel as necessary. We are open to considering candidates close to any of our US locations in Massachusetts, Pennsylvania, Minnesota, Texas, Arizona, Oregon or California as well as locations near major airports such as the Northeast, Southeast, Midwest and Pacific Coast. COMPANY OVERVIEW: Celestica (NYSE, TSX: CLS) enables the world's best brands. Through our recognized customer-centric approach, we partner with leading companies in Aerospace and Defense, Communications, Enterprise, HealthTech, Industrial, Capital Equipment and Energy to deliver solutions for their most complex challenges. As a leader in design, manufacturing, hardware platform and supply chain solutions, Celestica brings global expertise and insight at every stage of product development - from drawing board to full-scale production and after-market services for products from advanced medical devices, to highly engineered aviation systems, to next-generation hardware platform solutions for the Cloud.Headquartered in Toronto, with talented teams spanning 40+ locations in 13 countries across the Americas, Europe and Asia, we imagine, develop and deliver a better future with our customers. Celestica would like to thank all applicants, however, only qualified applicants will be contacted. Celestica does not accept unsolicited resumes from recruitment agencies or fee based recruitment services.
Senior Software Developers/Engineers with Python, Terraform and Go Our Client is looking to recruit brilliant Software Developers/Engineers with upwards of 7 to 10 years solid proven track record of developing complex applications with Python coupled with Machine Learning and ideally Go. We're looking to recruit initially 2 excellent Software Engineers to work with an existing team of 4 software developers on a very large strategic consulting engagement. Must be 100% trustworthy with real integrity - this is a highly sensitive project. Key skills Python Machine Learning Terraform Go programming language Ability to develop in C++ and/or C#, with an expectation to learn Go Excellence is vital. Ideally have security clearance. Duration for this assignment will be 3 to 6 months initially with possibility of the role becoming permanent at some point in the future. The Client has offices in Central London and the project is based in Oxford - and is happy with remote working for the foreseeable future. They are absolutely committed to family-friendly operations with diversity & work-life balance. Daily rate for this assignment will be dependent on your expertise - but will be in the range £500 to £2000 per day. Please note we really are looking for the best software developers the cream of the crop - or crème de la crème. Do send your CV to us in Word format along with your daily rate and availability.
25/05/2026
Full time
Senior Software Developers/Engineers with Python, Terraform and Go Our Client is looking to recruit brilliant Software Developers/Engineers with upwards of 7 to 10 years solid proven track record of developing complex applications with Python coupled with Machine Learning and ideally Go. We're looking to recruit initially 2 excellent Software Engineers to work with an existing team of 4 software developers on a very large strategic consulting engagement. Must be 100% trustworthy with real integrity - this is a highly sensitive project. Key skills Python Machine Learning Terraform Go programming language Ability to develop in C++ and/or C#, with an expectation to learn Go Excellence is vital. Ideally have security clearance. Duration for this assignment will be 3 to 6 months initially with possibility of the role becoming permanent at some point in the future. The Client has offices in Central London and the project is based in Oxford - and is happy with remote working for the foreseeable future. They are absolutely committed to family-friendly operations with diversity & work-life balance. Daily rate for this assignment will be dependent on your expertise - but will be in the range £500 to £2000 per day. Please note we really are looking for the best software developers the cream of the crop - or crème de la crème. Do send your CV to us in Word format along with your daily rate and availability.
Senior Software Engineer with Python and Java Our Client is looking to recruit brilliant Software Engineer with upwards of 5 to 10 years solid proven track record of developing complex applications with Python coupled with Machine Learning and ideally Go. We're looking to recruit initially 2 excellent Software Engineers to work with an existing team of 4 software developers on a very large strategic consulting engagement within the Life Sciences industry. So if you any experience with the Life Sciences domain - then the Client would be very interested to see your profile. Must be 100% trustworthy with real integrity - this is a highly sensitive project. Key skills: Python, Machine Learning, Java The Client would like to see solid expertise of working with and developing complex applications with Java. Excellence is vital. Ideally have security clearance. The Client has offices in Central London and the project is based in Oxford and are happy with remote working for the foreseeable future. They are absolutely committed to family-friendly operations with diversity & work-life balance. Daily rate for this assignment will be dependent on your expertise - but will be in the range £500 to £2000 per day. Duration for this assignment will be 3 to 6 months initially with possibility of the role becoming permanent at some point in the future. The ideal candidate will have a PhD in Computer Science although an MSc with excellent skills may work. Please note we really are looking for the best software developers - the cream of the crop - or crème de la crème. Do send your CV to us in Word format along with your daily rate and availability.
25/05/2026
Full time
Senior Software Engineer with Python and Java Our Client is looking to recruit brilliant Software Engineer with upwards of 5 to 10 years solid proven track record of developing complex applications with Python coupled with Machine Learning and ideally Go. We're looking to recruit initially 2 excellent Software Engineers to work with an existing team of 4 software developers on a very large strategic consulting engagement within the Life Sciences industry. So if you any experience with the Life Sciences domain - then the Client would be very interested to see your profile. Must be 100% trustworthy with real integrity - this is a highly sensitive project. Key skills: Python, Machine Learning, Java The Client would like to see solid expertise of working with and developing complex applications with Java. Excellence is vital. Ideally have security clearance. The Client has offices in Central London and the project is based in Oxford and are happy with remote working for the foreseeable future. They are absolutely committed to family-friendly operations with diversity & work-life balance. Daily rate for this assignment will be dependent on your expertise - but will be in the range £500 to £2000 per day. Duration for this assignment will be 3 to 6 months initially with possibility of the role becoming permanent at some point in the future. The ideal candidate will have a PhD in Computer Science although an MSc with excellent skills may work. Please note we really are looking for the best software developers - the cream of the crop - or crème de la crème. Do send your CV to us in Word format along with your daily rate and availability.
Newcastle University is a world-class UK University, advancing knowledge, providing creative solutions and solving global problems. Newcastle University in Singapore has been providing top-quality degrees in Singapore for over a decade and have graduated more than 1,000 students. We deliver jointly awarded undergraduate Newcastle University degrees with Singapore Institute of Technology in chemical engineering, electrical power engineering, marine engineering, offshore engineering and naval architecture, and mechanical design and manufacturing engineering. At Newcastle Research and Innovation Institute, we provide postgraduate education and training with MScs in Electrical Power Engineering, Energy and Sustainability, Marine Technology and Process Safety and Risk Management as well as research degrees (PhD, MPhil). Attracting and retaining staff of the highest calibre is our priority. The Role One Utility Bill Limited and Newcastle University are offering an exciting opportunity to develop a data driven software model that accurately predicts the energy usage for every residential property in the UK - for use in utility bill management. The modelling will utilise time series analysis and machine learning methods. One Utility Bill are a third-party intermediary (TPI) that simplifies household billing with transparent, bundled utility packages for renters and homeowners. OUBs flagship offering is an unlimited energy package, through which they provide customers with a fixed energy cost based on current market tariffs and projected consumption over the contract term. Based at One Utility Bill, you will be supported by an interdisciplinary team from Newcastle University, led by Prof. Hongsheng Dai, who has expertise in statistical methodology and statistical applications. You will be also supported by a senior supervisor from One Utility Bill, with expertise in financial control. Candidates should have a first degree in statistics, data science, computer science, mathematics or a related discipline, as well as a higher degree (ideally PhD) in statistics, data science, optimisation or artificial intelligence. Develop managerial skills and attend two residential managerial workshops (each of one-week duration) £4,000 personal training budget The opportunity to lead a project, develop project management skills and improve long-term career prospects Mentoring by a Knowledge Transfer Network Adviser Full access to university resources to complete the project Ability to work in a largely self-determined way, across the industry-academic partnership Opportunities to develop both technical understanding and commercial awareness The possibility of studying for a higher degree or undertaking professional development The KTP Associate will be an employee of Newcastle University but will spend most of their working time at the company's premises at One Utility Bill, 5 Media Exchange, Coquet Street and when required at Newcastle University. The KTP Associate will follow One Utility Bill's working hours and holiday procedure. The working week will be 40 hours per week, with a shift pattern of Monday-Friday 9:00am-5:00pm. Annual Leave applicable to this role is 25 days plus bank holidays. Although the contract is fixed term for a duration of 2 years, more than 70% of KTP staff gain a permanent job offer from their KTP company. For more information or informal enquiries, please contact Prof Hongsheng Dai at or Prof Kevin Wilson at . For further details about Knowledge Transfer Partnerships please visit the web page at: Key Tasks Anomaly and outlier detection using advanced statistical techniques. Develop and apply statistical models (such as seasonal ARIMA models) under a Bayesian framework and machine learning models (such as LSTM), to forecast energy usage at the household level. Develop advanced forecasting algorithms by incorporating external variables (e.g. weather, EPC rating), missing data and heterogeneous data patterns. Translate outputs into pricing strategies. Disseminate findings through reports, research papers and conferences. Work with colleagues in One Utility Bill to successfully integrate a range of data sources and developed algorithms into a single platform. Communicate high level technical concepts to non-specialists. The Person Knowledge, Skills, and Experience Strong theoretical and applied knowledge in time series analysis. Strong theoretical and applied knowledge in Bayesian inference and computational statistics, including advanced methods such as Markov Chain Monte Carlo (MCMC) and Sequential Monte Carlo (SMC). Good theoretical and applied knowledge in artificial intelligence and statistical learning models. Knowledge in data engineering (missing data imputation, outlier detection). Excellent experience in R/Python programming. Desirable Strong foundation in theoretical statistics, with the ability to apply rigorous statistical principles to complex modelling problems. Knowledge of optimisation. Experience of project management, the ability to manage multiple deadlines. Attributes and Behaviour Excellent organisational and planning skills. The ability to work to deadlines. The ability to work independently and collaboratively with colleagues. Strong interpersonal skills with the ability to communicate at all levels to different stakeholder groups in both academia and industry. Good attention to detail. A natural problem solver. Excellent verbal, written and presentation skills. Qualifications / Experience A first degree in statistics, data science, computer science, mathematics or a related discipline. A higher degree (ideally PhD) in statistics, data science, optimisation or artificial intelligence. To apply, please attach your CV and a cover letter that demonstrates how you meet the essential criteria for the position, as outlined in the Person Specification of the Job Description. Any requested additional documents required as part of your application, should be included within the same file as your cover letter. The total file size must not exceed 10MB. Newcastle University is a global University where everyone is treated with dignity and respect. As a University of Sanctuary, we aim to provide a welcoming place of safety for all, offering opportunities to people fleeing violence and persecution. We are committed to being a fully inclusive university which actively recruits, supports and retains colleagues from all sectors of society. We value diversity as well as celebrate, support and thrive on the contributions of all of our employees and the communities they represent. We are proud to be an equal opportunities employer and encourage applications from individuals who can complement our existing teams, we believe that success is built on having teams whose backgrounds and experiences reflect the diversity of our university and student population. At Newcastle University we hold a GoldAthena Swan award in recognition of our good employment practices for the advancement of gender equality. We also hold a Race Equality Charter Bronze award in recognition of our work towards tackling race inequality in higher education REC. We are a Disability Confident employer and will offer an interview to disabled applicants who meet the essential criteria for the role as part of the offer and interview scheme. In addition, we are a member of the Euraxess initiative supporting researchers in Europe.
25/05/2026
Full time
Newcastle University is a world-class UK University, advancing knowledge, providing creative solutions and solving global problems. Newcastle University in Singapore has been providing top-quality degrees in Singapore for over a decade and have graduated more than 1,000 students. We deliver jointly awarded undergraduate Newcastle University degrees with Singapore Institute of Technology in chemical engineering, electrical power engineering, marine engineering, offshore engineering and naval architecture, and mechanical design and manufacturing engineering. At Newcastle Research and Innovation Institute, we provide postgraduate education and training with MScs in Electrical Power Engineering, Energy and Sustainability, Marine Technology and Process Safety and Risk Management as well as research degrees (PhD, MPhil). Attracting and retaining staff of the highest calibre is our priority. The Role One Utility Bill Limited and Newcastle University are offering an exciting opportunity to develop a data driven software model that accurately predicts the energy usage for every residential property in the UK - for use in utility bill management. The modelling will utilise time series analysis and machine learning methods. One Utility Bill are a third-party intermediary (TPI) that simplifies household billing with transparent, bundled utility packages for renters and homeowners. OUBs flagship offering is an unlimited energy package, through which they provide customers with a fixed energy cost based on current market tariffs and projected consumption over the contract term. Based at One Utility Bill, you will be supported by an interdisciplinary team from Newcastle University, led by Prof. Hongsheng Dai, who has expertise in statistical methodology and statistical applications. You will be also supported by a senior supervisor from One Utility Bill, with expertise in financial control. Candidates should have a first degree in statistics, data science, computer science, mathematics or a related discipline, as well as a higher degree (ideally PhD) in statistics, data science, optimisation or artificial intelligence. Develop managerial skills and attend two residential managerial workshops (each of one-week duration) £4,000 personal training budget The opportunity to lead a project, develop project management skills and improve long-term career prospects Mentoring by a Knowledge Transfer Network Adviser Full access to university resources to complete the project Ability to work in a largely self-determined way, across the industry-academic partnership Opportunities to develop both technical understanding and commercial awareness The possibility of studying for a higher degree or undertaking professional development The KTP Associate will be an employee of Newcastle University but will spend most of their working time at the company's premises at One Utility Bill, 5 Media Exchange, Coquet Street and when required at Newcastle University. The KTP Associate will follow One Utility Bill's working hours and holiday procedure. The working week will be 40 hours per week, with a shift pattern of Monday-Friday 9:00am-5:00pm. Annual Leave applicable to this role is 25 days plus bank holidays. Although the contract is fixed term for a duration of 2 years, more than 70% of KTP staff gain a permanent job offer from their KTP company. For more information or informal enquiries, please contact Prof Hongsheng Dai at or Prof Kevin Wilson at . For further details about Knowledge Transfer Partnerships please visit the web page at: Key Tasks Anomaly and outlier detection using advanced statistical techniques. Develop and apply statistical models (such as seasonal ARIMA models) under a Bayesian framework and machine learning models (such as LSTM), to forecast energy usage at the household level. Develop advanced forecasting algorithms by incorporating external variables (e.g. weather, EPC rating), missing data and heterogeneous data patterns. Translate outputs into pricing strategies. Disseminate findings through reports, research papers and conferences. Work with colleagues in One Utility Bill to successfully integrate a range of data sources and developed algorithms into a single platform. Communicate high level technical concepts to non-specialists. The Person Knowledge, Skills, and Experience Strong theoretical and applied knowledge in time series analysis. Strong theoretical and applied knowledge in Bayesian inference and computational statistics, including advanced methods such as Markov Chain Monte Carlo (MCMC) and Sequential Monte Carlo (SMC). Good theoretical and applied knowledge in artificial intelligence and statistical learning models. Knowledge in data engineering (missing data imputation, outlier detection). Excellent experience in R/Python programming. Desirable Strong foundation in theoretical statistics, with the ability to apply rigorous statistical principles to complex modelling problems. Knowledge of optimisation. Experience of project management, the ability to manage multiple deadlines. Attributes and Behaviour Excellent organisational and planning skills. The ability to work to deadlines. The ability to work independently and collaboratively with colleagues. Strong interpersonal skills with the ability to communicate at all levels to different stakeholder groups in both academia and industry. Good attention to detail. A natural problem solver. Excellent verbal, written and presentation skills. Qualifications / Experience A first degree in statistics, data science, computer science, mathematics or a related discipline. A higher degree (ideally PhD) in statistics, data science, optimisation or artificial intelligence. To apply, please attach your CV and a cover letter that demonstrates how you meet the essential criteria for the position, as outlined in the Person Specification of the Job Description. Any requested additional documents required as part of your application, should be included within the same file as your cover letter. The total file size must not exceed 10MB. Newcastle University is a global University where everyone is treated with dignity and respect. As a University of Sanctuary, we aim to provide a welcoming place of safety for all, offering opportunities to people fleeing violence and persecution. We are committed to being a fully inclusive university which actively recruits, supports and retains colleagues from all sectors of society. We value diversity as well as celebrate, support and thrive on the contributions of all of our employees and the communities they represent. We are proud to be an equal opportunities employer and encourage applications from individuals who can complement our existing teams, we believe that success is built on having teams whose backgrounds and experiences reflect the diversity of our university and student population. At Newcastle University we hold a GoldAthena Swan award in recognition of our good employment practices for the advancement of gender equality. We also hold a Race Equality Charter Bronze award in recognition of our work towards tackling race inequality in higher education REC. We are a Disability Confident employer and will offer an interview to disabled applicants who meet the essential criteria for the role as part of the offer and interview scheme. In addition, we are a member of the Euraxess initiative supporting researchers in Europe.
A leading consulting company seeks Senior Software Developers/Engineers with extensive experience in Python and Machine Learning for a strategic project. Responsibilities include working with a dynamic team and developing complex applications. Candidates should have 7-10 years of proven experience and must demonstrate integrity and trustworthiness. The role offers a competitive daily rate ranging from £500 to £2000, with possibilities for remote work and permanent placement.
25/05/2026
Full time
A leading consulting company seeks Senior Software Developers/Engineers with extensive experience in Python and Machine Learning for a strategic project. Responsibilities include working with a dynamic team and developing complex applications. Candidates should have 7-10 years of proven experience and must demonstrate integrity and trustworthiness. The role offers a competitive daily rate ranging from £500 to £2000, with possibilities for remote work and permanent placement.
Joining Griffiths Waite (GW) as an Engineer offers an outstanding opportunity for professional growth and development. At GW, we pride ourselves on strong engineering principles, forward-thinking use of AI, and a commitment to rapid, high-quality delivery - creating an ideal environment to sharpen your skills and grow your career. We're looking for Engineers who are enthusiastic, curious, and open to new ideas and perspectives. You should bring a strong desire to learn, a proactive mindset, and a positive, can-do attitude to everything you do. About Us Griffiths Waite is a forward-thinking software company that specialises in creating innovative solutions for enterprise clients. Our mission is to design intuitive, user-centric digital products that deliver exceptional value and lasting impact. Our core values define who we are: Brilliance - We move with purpose, innovate boldly, and simplify complexity to deliver high-impact results with clarity and speed. Trust - We build lasting relationships through integrity, transparency, and a deep commitment to our clients' best interests. Collaboration - We work together openly and supportively, believing that true success is a shared achievement. Ownership - We take responsibility for what we deliver, stay solution-focused, and always follow through on our promises. If these values resonate with you, we'd love to hear from you. Your Role as an Engineer As an Engineer at Griffiths Waite, you'll be a key part of a cross-functional agile team, helping to build high-quality software solutions for our enterprise clients. You'll have the opportunity to work across the full development lifecycle and grow your skills in a supportive environment. Your focus will be on driving data solutions, at scale, which enable new and innovative products. As a senior engineer, you will be instrumental in identifying opportunities across teams and the wider organization to better leverage data. Engineers at GW are expected to move across the disciplines within the SDLC easily; this breadth ensures we have an efficient and joined up delivery experience. Experience and skills related to interface development, API's, test, architecture, and platform are all beneficial to have in this role. What we are looking for - Skills Familiar with Data Lake / Date Warehouse architecture Experience using Apache Spark or similar technologies Experience working with data platforms such as Databricks General Strong Mathematical foundation Experience working with tools such as Sklearn, Pandas, Numpy etc Experience working on big data applications / projects We'd also expect competency with: Version control systems like Git CI/CD pipelines, preferably using Azure Pipelines or similar tools Project management platforms, such as Azure Boards We're passionate about driving value with AI, so any experience with machine learning or integrating with LLMs is a great bonus! This role offers the chance to work with a wide variety of technologies and continually expand your skillset. What We're Looking For - Behaviours That Matter We're looking for individuals who not only bring technical ability but also the right mindset and attitude. The behaviours we value most include: A genuine curiosity to learn - someone who asks questions, explores the solution in depth, and takes the time to understand both the client and the product. Strong communication skills, speaking clearly and confidently while building strong relationships with team members and stakeholders. An openness to constructive feedback, seeing it as a tool for growth and improvement. A friendly, approachable attitude that contributes to a supportive and collaborative team culture. A clear passion for software development, with a focus on delivering quality. A desire to stay current with emerging technologies and best practices, while encouraging a culture of continuous learning and innovation. What we offer Salary range of Up to £75,000 per annum 25 days of annual leave plus all UK bank holidays Growth & Development Professional development and training opportunities Opportunities for skill mastery and mentoring Work on innovative projects with a talented team Small consultancy where everyone's opinion counts Flexible working hours and remote work options Collaborative and supportive company culture Strong client relationships with daily contact Regular company celebrations (Summer and Christmas Parties!) Location & Facilities Office minutes from New Street Station Right in the heart of Birmingham City Centre We're excited to see your work and learn more about you!
25/05/2026
Full time
Joining Griffiths Waite (GW) as an Engineer offers an outstanding opportunity for professional growth and development. At GW, we pride ourselves on strong engineering principles, forward-thinking use of AI, and a commitment to rapid, high-quality delivery - creating an ideal environment to sharpen your skills and grow your career. We're looking for Engineers who are enthusiastic, curious, and open to new ideas and perspectives. You should bring a strong desire to learn, a proactive mindset, and a positive, can-do attitude to everything you do. About Us Griffiths Waite is a forward-thinking software company that specialises in creating innovative solutions for enterprise clients. Our mission is to design intuitive, user-centric digital products that deliver exceptional value and lasting impact. Our core values define who we are: Brilliance - We move with purpose, innovate boldly, and simplify complexity to deliver high-impact results with clarity and speed. Trust - We build lasting relationships through integrity, transparency, and a deep commitment to our clients' best interests. Collaboration - We work together openly and supportively, believing that true success is a shared achievement. Ownership - We take responsibility for what we deliver, stay solution-focused, and always follow through on our promises. If these values resonate with you, we'd love to hear from you. Your Role as an Engineer As an Engineer at Griffiths Waite, you'll be a key part of a cross-functional agile team, helping to build high-quality software solutions for our enterprise clients. You'll have the opportunity to work across the full development lifecycle and grow your skills in a supportive environment. Your focus will be on driving data solutions, at scale, which enable new and innovative products. As a senior engineer, you will be instrumental in identifying opportunities across teams and the wider organization to better leverage data. Engineers at GW are expected to move across the disciplines within the SDLC easily; this breadth ensures we have an efficient and joined up delivery experience. Experience and skills related to interface development, API's, test, architecture, and platform are all beneficial to have in this role. What we are looking for - Skills Familiar with Data Lake / Date Warehouse architecture Experience using Apache Spark or similar technologies Experience working with data platforms such as Databricks General Strong Mathematical foundation Experience working with tools such as Sklearn, Pandas, Numpy etc Experience working on big data applications / projects We'd also expect competency with: Version control systems like Git CI/CD pipelines, preferably using Azure Pipelines or similar tools Project management platforms, such as Azure Boards We're passionate about driving value with AI, so any experience with machine learning or integrating with LLMs is a great bonus! This role offers the chance to work with a wide variety of technologies and continually expand your skillset. What We're Looking For - Behaviours That Matter We're looking for individuals who not only bring technical ability but also the right mindset and attitude. The behaviours we value most include: A genuine curiosity to learn - someone who asks questions, explores the solution in depth, and takes the time to understand both the client and the product. Strong communication skills, speaking clearly and confidently while building strong relationships with team members and stakeholders. An openness to constructive feedback, seeing it as a tool for growth and improvement. A friendly, approachable attitude that contributes to a supportive and collaborative team culture. A clear passion for software development, with a focus on delivering quality. A desire to stay current with emerging technologies and best practices, while encouraging a culture of continuous learning and innovation. What we offer Salary range of Up to £75,000 per annum 25 days of annual leave plus all UK bank holidays Growth & Development Professional development and training opportunities Opportunities for skill mastery and mentoring Work on innovative projects with a talented team Small consultancy where everyone's opinion counts Flexible working hours and remote work options Collaborative and supportive company culture Strong client relationships with daily contact Regular company celebrations (Summer and Christmas Parties!) Location & Facilities Office minutes from New Street Station Right in the heart of Birmingham City Centre We're excited to see your work and learn more about you!
A leading global bank payment company is seeking a Fraud Prevention Data Scientist to join their Merchant Operations Group. This role involves developing and deploying ML models to strengthen fraud defenses while collaborating with engineering and analytics teams. The ideal candidate has a strong background in machine learning and a degree or PhD in a STEM field. The position offers competitive salary, equity opportunities, and supports hybrid work arrangements.
25/05/2026
Full time
A leading global bank payment company is seeking a Fraud Prevention Data Scientist to join their Merchant Operations Group. This role involves developing and deploying ML models to strengthen fraud defenses while collaborating with engineering and analytics teams. The ideal candidate has a strong background in machine learning and a degree or PhD in a STEM field. The position offers competitive salary, equity opportunities, and supports hybrid work arrangements.
About Marshmallow We exist to make migration easy. A systemic problem of this magnitude requires a team of curious thinkers who relentlessly pursue solutions. Those who constantly challenge the why, dismantle assumptions, and always take action to build a better way. A Marshmallow career is built on a cycle of continuous growth, with learning at its core. You will be challenged to raise the bar on your capabilities and supported with the right tools and guidance to do so. This ensures you can deliver impactful work and drive change. If life at Marshmallow sounds like it could be for you, explore our Culture Handbook to find out more. Move our mission, and your career, forward. Data Science at Marshmallow Our Data Science team partners across the business to turn data into better decisions, smarter products, and simpler customer journeys. We work closely with Product, Engineering, and Operations to build and ship models and AI systems that are reliable in production and deliver measurable impact. Within Data Science, this role sits in Claims, supporting the function and the broader ambition to automate more of the claims journey. Claims is one of Marshmallow's most important customer touchpoints, and we're looking for a Staff Data Scientist who can provide technical leadership across traditional ML and Generative AI, bring system-level thinking to how we scale decisioning, and confidently challenge proposals to ensure we build robust, sustainable solutions. What you'll be doing Provide technical leadership for data science across Claims Fraud, shaping the approach to risk decisioning and fraud detection in partnership with Product and Engineering Design, build and iterate on production ML and Generative AI/LLM systems that support claims validation and automation Collaborate closely with other Claims data scientists to bring system-level thinking to how models, data and workflows fit together, identifying architectural improvements needed to scale decisioning and reduce time-to-production Be vocal about the platform and tooling investments needed (monitoring, feedback loops, QA) to achieve AI-driven end to end claims automation Advocate for robust, scalable, and strategically aligned technical solutions in cross-functional discussions, ensuring current systems and infrastructure contribute to the multi-year vision for automated claims handling Set a high bar for statistical rigour, experimentation and measurement, helping improve how Claims performance and uncertainty are understood and communicated to senior stakeholders Who You Are You think in systems: you can connect the dots between data science, engineering, and product to shape scalable solutions that build on each other over time. You're confident in challenging assumptions and pushing for the right approach, using strong communication skills to influence stakeholders across seniority levels and disciplines with clear, pragmatic reasoning. You thrive in ambiguity and change, staying resilient and effective during transitions while bringing structure, clarity, and momentum to complex problem spaces. You're motivated by real-world impact, partnering closely with cross-functional teams to drive meaningful automation and better customer outcomes across the claims journey. What You'll Bring Significant commercial experience delivering end-to-end Machine Learning solutions, from problem framing and experimentation through to production deployment and ongoing monitoring Hands-on experience building and shipping Generative AI systems in production (not just prototypes), including evaluation, safety/quality considerations, and integration into customer or operational workflows Strong statistical and modelling foundation, with experience in risk-based decisioning under uncertainty (e.g., fraud, credit, insurance, or other regulated domains) Proven ability to influence technical direction across Data Science and Engineering, including shaping scalable model/service integration patterns and challenging proposals to drive robust, long-term solutions Strong stakeholder management skills, with confidence communicating trade-offs and pushing back constructively with Product and Engineering to ensure high-quality outcomes Perks of the job Flexible working: Spend three days a week with your team in our collaborative London office, and own your own working hours. The rest is up to you Competitive bonus scheme - designed to reward and recognise high performance Flexible benefits budget - £50 per month to spend on a Ben Mastercard meaning you get your own benefits budget to spend on things you want. Whether that's subscriptions, night classes (puppy yoga, anyone?), the big shop or a forest of houseplants. Pretty much anything goes Mental wellbeing support - Access therapy and mental health sessions through Oliva Learning and development - Personal budgets for books and training courses to help you grow in your role. Plus 2 days a year - on us! - to further your skillset Private health care - Enjoy all the benefits Vitality has to offer, including reduced gym memberships and discounts on smartwatches Medical cash plan - To help you with the costs of dental, optical and physio (plus more!) Tech scheme - Get the latest tech for less We are able to offer visa sponsorship for this position. Our process Initial call with a member from our Talent Team (30 mins) Past Experience interview with Hiring Manager (60 mins) Systems Design & Technical interview with a couple of the team (90 mins) Culture interview (60 mins) Background checks As part of our commitment to maintaining a safe and trustworthy environment, we'll carry out standard background checks, including a DBS and a Cifas check. These help ensure there are no ongoing criminal proceedings and support the prevention of fraud and other forms of serious misconduct. If anything of concern is identified, it may affect your eligibility for certain roles or services. Feel free to ask our Talent Acquisition team if you have any questions about this! Everyone belongs at Marshmallow At Marshmallow, we want to hire people from all walks of life with the passion and skills needed to help us achieve our company mission. To do that, we're committed to hiring without judgement, prejudice or bias. We encourage everyone to apply for our open roles. Gender identity, race, ethnicity, sexual orientation, age or background does not affect how we process job applications. We're working hard to build an inclusive culture that empowers our people to do their best work, have fun and feel that they belong. Recruitment privacy policy We take privacy seriously here at Marshmallow. Our Recruitment privacy notice explains how we process and handle your personal data. To find out more please view it here.
25/05/2026
Full time
About Marshmallow We exist to make migration easy. A systemic problem of this magnitude requires a team of curious thinkers who relentlessly pursue solutions. Those who constantly challenge the why, dismantle assumptions, and always take action to build a better way. A Marshmallow career is built on a cycle of continuous growth, with learning at its core. You will be challenged to raise the bar on your capabilities and supported with the right tools and guidance to do so. This ensures you can deliver impactful work and drive change. If life at Marshmallow sounds like it could be for you, explore our Culture Handbook to find out more. Move our mission, and your career, forward. Data Science at Marshmallow Our Data Science team partners across the business to turn data into better decisions, smarter products, and simpler customer journeys. We work closely with Product, Engineering, and Operations to build and ship models and AI systems that are reliable in production and deliver measurable impact. Within Data Science, this role sits in Claims, supporting the function and the broader ambition to automate more of the claims journey. Claims is one of Marshmallow's most important customer touchpoints, and we're looking for a Staff Data Scientist who can provide technical leadership across traditional ML and Generative AI, bring system-level thinking to how we scale decisioning, and confidently challenge proposals to ensure we build robust, sustainable solutions. What you'll be doing Provide technical leadership for data science across Claims Fraud, shaping the approach to risk decisioning and fraud detection in partnership with Product and Engineering Design, build and iterate on production ML and Generative AI/LLM systems that support claims validation and automation Collaborate closely with other Claims data scientists to bring system-level thinking to how models, data and workflows fit together, identifying architectural improvements needed to scale decisioning and reduce time-to-production Be vocal about the platform and tooling investments needed (monitoring, feedback loops, QA) to achieve AI-driven end to end claims automation Advocate for robust, scalable, and strategically aligned technical solutions in cross-functional discussions, ensuring current systems and infrastructure contribute to the multi-year vision for automated claims handling Set a high bar for statistical rigour, experimentation and measurement, helping improve how Claims performance and uncertainty are understood and communicated to senior stakeholders Who You Are You think in systems: you can connect the dots between data science, engineering, and product to shape scalable solutions that build on each other over time. You're confident in challenging assumptions and pushing for the right approach, using strong communication skills to influence stakeholders across seniority levels and disciplines with clear, pragmatic reasoning. You thrive in ambiguity and change, staying resilient and effective during transitions while bringing structure, clarity, and momentum to complex problem spaces. You're motivated by real-world impact, partnering closely with cross-functional teams to drive meaningful automation and better customer outcomes across the claims journey. What You'll Bring Significant commercial experience delivering end-to-end Machine Learning solutions, from problem framing and experimentation through to production deployment and ongoing monitoring Hands-on experience building and shipping Generative AI systems in production (not just prototypes), including evaluation, safety/quality considerations, and integration into customer or operational workflows Strong statistical and modelling foundation, with experience in risk-based decisioning under uncertainty (e.g., fraud, credit, insurance, or other regulated domains) Proven ability to influence technical direction across Data Science and Engineering, including shaping scalable model/service integration patterns and challenging proposals to drive robust, long-term solutions Strong stakeholder management skills, with confidence communicating trade-offs and pushing back constructively with Product and Engineering to ensure high-quality outcomes Perks of the job Flexible working: Spend three days a week with your team in our collaborative London office, and own your own working hours. The rest is up to you Competitive bonus scheme - designed to reward and recognise high performance Flexible benefits budget - £50 per month to spend on a Ben Mastercard meaning you get your own benefits budget to spend on things you want. Whether that's subscriptions, night classes (puppy yoga, anyone?), the big shop or a forest of houseplants. Pretty much anything goes Mental wellbeing support - Access therapy and mental health sessions through Oliva Learning and development - Personal budgets for books and training courses to help you grow in your role. Plus 2 days a year - on us! - to further your skillset Private health care - Enjoy all the benefits Vitality has to offer, including reduced gym memberships and discounts on smartwatches Medical cash plan - To help you with the costs of dental, optical and physio (plus more!) Tech scheme - Get the latest tech for less We are able to offer visa sponsorship for this position. Our process Initial call with a member from our Talent Team (30 mins) Past Experience interview with Hiring Manager (60 mins) Systems Design & Technical interview with a couple of the team (90 mins) Culture interview (60 mins) Background checks As part of our commitment to maintaining a safe and trustworthy environment, we'll carry out standard background checks, including a DBS and a Cifas check. These help ensure there are no ongoing criminal proceedings and support the prevention of fraud and other forms of serious misconduct. If anything of concern is identified, it may affect your eligibility for certain roles or services. Feel free to ask our Talent Acquisition team if you have any questions about this! Everyone belongs at Marshmallow At Marshmallow, we want to hire people from all walks of life with the passion and skills needed to help us achieve our company mission. To do that, we're committed to hiring without judgement, prejudice or bias. We encourage everyone to apply for our open roles. Gender identity, race, ethnicity, sexual orientation, age or background does not affect how we process job applications. We're working hard to build an inclusive culture that empowers our people to do their best work, have fun and feel that they belong. Recruitment privacy policy We take privacy seriously here at Marshmallow. Our Recruitment privacy notice explains how we process and handle your personal data. To find out more please view it here.
Senior GenAI Engineer We're seeking a versatile engineer who can work across the full stack of GenAI applications, from model integration and prompt engineering to building intuitive user interfaces. You'll build production ready AI features that empower business users to leverage GenAI within their planning workflows, requiring deep ML knowledge and strong software engineering skills. Your Impact Develop end to end GenAI features, including backend API services, model integration, model monitoring, evaluations, and deployments Integrate and optimize LLMs for specific use cases in business planning, including prompt engineering and RAG implementation Build conversational interfaces and agentic workflows that make complex planning tasks accessible through natural language Implement evaluation frameworks to measure and improve GenAI feature quality, including accuracy, latency, and user satisfaction metrics Design and develop APIs that expose AI capabilities to Anaplan's platform and third party integrations Optimize model inference pipelines for performance, cost, and scalability in production environments Implement monitoring, logging, and observability for GenAI systems to track usage, errors, and model behaviour Collaborate with data scientists to productionize ML models and forecasting algorithms Write comprehensive tests, including unit tests, integration tests, and prompt regression suites Participate in code reviews, technical design discussions, and knowledge sharing sessions Stay current with GenAI research and tools, evaluating new models and techniques for potential adoption Your Qualifications Software engineering experience with a focus on ML/AI systems Strong programming skills in Python, including experience with ML frameworks (PyTorch, TensorFlow, Transformers) Experience building and deploying LLM powered applications in production Proficiency in front end development with React, TypeScript, and modern web technologies Understanding of RESTful API design, microservices architecture, and cloud infrastructure Experience with prompt engineering, RAG systems Strong foundation in ML fundamentals, including NLP, time series analysis, or recommender systems Familiarity with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines Excellent problem solving skills and attention to detail Bachelor's degree in computer science, Machine Learning, or related field Preferred Qualifications Experience with GenAI frameworks (LangChain, LlamaIndex, Haystack, or similar) Knowledge of vector databases (Pinecone, Weaviate, Qdrant) and embedding models Experience with model serving frameworks (vLLM, TensorRT, Ray) Background in forecasting, planning, or analytics applications Familiarity with Anaplan or similar enterprise planning platforms Experience with A/B testing and experimentation frameworks for AI features Contributions to open source ML projects or research publications Experience with model observability tools (LangSmith, W&B, MLflow) What Makes This Role Exciting Lead a greenfield team building transformative AI capabilities from the ground up Work on cutting edge conversational and agentic AI technologies Build user facing AI features that directly impact how businesses plan and make decisions Experiment with the latest GenAI models and techniques Collaborate with talented engineers, data scientists, and product designers Solve unique challenges at the intersection of AI and enterprise software Grow your skills in both ML engineering and full stack development Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper - this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
25/05/2026
Full time
Senior GenAI Engineer We're seeking a versatile engineer who can work across the full stack of GenAI applications, from model integration and prompt engineering to building intuitive user interfaces. You'll build production ready AI features that empower business users to leverage GenAI within their planning workflows, requiring deep ML knowledge and strong software engineering skills. Your Impact Develop end to end GenAI features, including backend API services, model integration, model monitoring, evaluations, and deployments Integrate and optimize LLMs for specific use cases in business planning, including prompt engineering and RAG implementation Build conversational interfaces and agentic workflows that make complex planning tasks accessible through natural language Implement evaluation frameworks to measure and improve GenAI feature quality, including accuracy, latency, and user satisfaction metrics Design and develop APIs that expose AI capabilities to Anaplan's platform and third party integrations Optimize model inference pipelines for performance, cost, and scalability in production environments Implement monitoring, logging, and observability for GenAI systems to track usage, errors, and model behaviour Collaborate with data scientists to productionize ML models and forecasting algorithms Write comprehensive tests, including unit tests, integration tests, and prompt regression suites Participate in code reviews, technical design discussions, and knowledge sharing sessions Stay current with GenAI research and tools, evaluating new models and techniques for potential adoption Your Qualifications Software engineering experience with a focus on ML/AI systems Strong programming skills in Python, including experience with ML frameworks (PyTorch, TensorFlow, Transformers) Experience building and deploying LLM powered applications in production Proficiency in front end development with React, TypeScript, and modern web technologies Understanding of RESTful API design, microservices architecture, and cloud infrastructure Experience with prompt engineering, RAG systems Strong foundation in ML fundamentals, including NLP, time series analysis, or recommender systems Familiarity with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines Excellent problem solving skills and attention to detail Bachelor's degree in computer science, Machine Learning, or related field Preferred Qualifications Experience with GenAI frameworks (LangChain, LlamaIndex, Haystack, or similar) Knowledge of vector databases (Pinecone, Weaviate, Qdrant) and embedding models Experience with model serving frameworks (vLLM, TensorRT, Ray) Background in forecasting, planning, or analytics applications Familiarity with Anaplan or similar enterprise planning platforms Experience with A/B testing and experimentation frameworks for AI features Contributions to open source ML projects or research publications Experience with model observability tools (LangSmith, W&B, MLflow) What Makes This Role Exciting Lead a greenfield team building transformative AI capabilities from the ground up Work on cutting edge conversational and agentic AI technologies Build user facing AI features that directly impact how businesses plan and make decisions Experiment with the latest GenAI models and techniques Collaborate with talented engineers, data scientists, and product designers Solve unique challenges at the intersection of AI and enterprise software Grow your skills in both ML engineering and full stack development Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper - this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
Software Engineer (Mid and Senior Levels) Bristol-Based Office Full-Time 37.5 hours, over 5 days The software technology team at One Big Circle is expanding! We are looking for software engineers at all levels of seniority and experience to integrate into our existing team and work across our diverse technology estate. Available Roles We have a number of roles available that are suitable for engineers with circa 3+ years of experience from 'mid level' up to senior. The roles span a number of broad capability areas which describe the kinds of problems we work on. They are not checklists, we recognise that candidates will bring depth in some areas and interest or exposure in others. We encourage interest from applicants with partial or adjacent skills and backgrounds, to fill a number of different roles within each capability area. Device & Embedded Software Systems Embedded Linux, C++/Python, embedded systems, multi-sensor and camera-based devices (including thermal and line-scan), data acquisition and edge processing, device-to-cloud pipelines, networking, system integration, hardware/software collaboration, field diagnostics, performance optimisation, secure and robust systems, Linux build systems (e.g. Yocto), media pipelines (e.g. GStreamer), FFMPEG, IoT devices, sensor data processing, signal conditioning, computer vision, FPGA exposure, electronics fundamentals. Applied machine learning, computer vision, object detection, image classification, model development and evaluation, data annotation and curation, training pipelines, performance optimisation, edge ML, MLOps, deployment and maintenance of ML solutions, Python development, Python-based ML frameworks, PyTorch, TensorFlow, sklearn, OpenCV, NumPy, feature development, code review, pytest, linting, bug fixing, relational databases, database design and maintenance, AWS/cloud infrastructure, CI/CD pipelines, developer tooling, Linux systems The Role As an OBC Software Engineer, you'll be a hands on contributor, working closely with experienced engineers to build reliable, high performance systems across devices, cloud platforms, and applied ML, contributing to real world, field deployed solutions. You will take responsibility for defined components and projects, contributing to system design, implementation, testing, and deployment, while continuing to develop your technical and professional skills. Responsibilities You will contribute to the development of innovative solutions within a skilled team that likes getting things done: Design, develop, and maintain software solutions Contribute to system design and technical decision making within the team Collaborate with adjacent teams to achieve system integration Take ownership of features, projects, or technical areas (scope matched to experience) Diagnose and resolve issues with in service systems and data Contribute to code reviews and help maintain high engineering standards Support continuous improvement of development practices, tooling, and system reliability Personal Qualities and Experience We are looking for engineers with a strong foundational skillset, a pragmatic approach to problem solving, and a desire to grow. You should be comfortable working in dynamic and multidisciplinary technical teams. Personal Attributes Practical and delivery focused, balancing engineering rigour with pragmatism Strong communication skills, able to work effectively with multidisciplinary teams Self motivated and proactive, with a willingness to take ownership of work Comfortable contributing to code reviews and technical discussions Willing to support more junior engineers Keen to grow into greater responsibility for technical direction and project delivery Company Benefits Company Benefits Include: Life Assurance Work related training courses as required Complimentary snacks and refreshments including fresh fruit Office centric role with allocated workspace Access to Bike to Work Scheme Secure bike storage and shower facilities Social events Successful applicants will be required to pass a BPSS (Baseline Personnel Security Standard) check.
25/05/2026
Full time
Software Engineer (Mid and Senior Levels) Bristol-Based Office Full-Time 37.5 hours, over 5 days The software technology team at One Big Circle is expanding! We are looking for software engineers at all levels of seniority and experience to integrate into our existing team and work across our diverse technology estate. Available Roles We have a number of roles available that are suitable for engineers with circa 3+ years of experience from 'mid level' up to senior. The roles span a number of broad capability areas which describe the kinds of problems we work on. They are not checklists, we recognise that candidates will bring depth in some areas and interest or exposure in others. We encourage interest from applicants with partial or adjacent skills and backgrounds, to fill a number of different roles within each capability area. Device & Embedded Software Systems Embedded Linux, C++/Python, embedded systems, multi-sensor and camera-based devices (including thermal and line-scan), data acquisition and edge processing, device-to-cloud pipelines, networking, system integration, hardware/software collaboration, field diagnostics, performance optimisation, secure and robust systems, Linux build systems (e.g. Yocto), media pipelines (e.g. GStreamer), FFMPEG, IoT devices, sensor data processing, signal conditioning, computer vision, FPGA exposure, electronics fundamentals. Applied machine learning, computer vision, object detection, image classification, model development and evaluation, data annotation and curation, training pipelines, performance optimisation, edge ML, MLOps, deployment and maintenance of ML solutions, Python development, Python-based ML frameworks, PyTorch, TensorFlow, sklearn, OpenCV, NumPy, feature development, code review, pytest, linting, bug fixing, relational databases, database design and maintenance, AWS/cloud infrastructure, CI/CD pipelines, developer tooling, Linux systems The Role As an OBC Software Engineer, you'll be a hands on contributor, working closely with experienced engineers to build reliable, high performance systems across devices, cloud platforms, and applied ML, contributing to real world, field deployed solutions. You will take responsibility for defined components and projects, contributing to system design, implementation, testing, and deployment, while continuing to develop your technical and professional skills. Responsibilities You will contribute to the development of innovative solutions within a skilled team that likes getting things done: Design, develop, and maintain software solutions Contribute to system design and technical decision making within the team Collaborate with adjacent teams to achieve system integration Take ownership of features, projects, or technical areas (scope matched to experience) Diagnose and resolve issues with in service systems and data Contribute to code reviews and help maintain high engineering standards Support continuous improvement of development practices, tooling, and system reliability Personal Qualities and Experience We are looking for engineers with a strong foundational skillset, a pragmatic approach to problem solving, and a desire to grow. You should be comfortable working in dynamic and multidisciplinary technical teams. Personal Attributes Practical and delivery focused, balancing engineering rigour with pragmatism Strong communication skills, able to work effectively with multidisciplinary teams Self motivated and proactive, with a willingness to take ownership of work Comfortable contributing to code reviews and technical discussions Willing to support more junior engineers Keen to grow into greater responsibility for technical direction and project delivery Company Benefits Company Benefits Include: Life Assurance Work related training courses as required Complimentary snacks and refreshments including fresh fruit Office centric role with allocated workspace Access to Bike to Work Scheme Secure bike storage and shower facilities Social events Successful applicants will be required to pass a BPSS (Baseline Personnel Security Standard) check.
Career Opportunities: Principal Solution Architect (11179) Requisition ID11179-Posted - Years of Experience (1) -Technology- Where (1) Sprint Reply is the ReplyGroup companyspecialisedin Intelligent Process Automation. Our mission is to create automation platforms capable of solving concrete business problems, supporting our customers in the transformation towardsthe IntelligentEnterprise and the adoption of a scalable and efficient Digital Workforce. In Sprint Reply we combine anexecution orientedengineering approach with strong experiences on 4 technology families, Robotic Process Automation, Computer Vision & ICR, AI & Machine Learning and Process Mining, dedicating constant attention to R&D on various Artificial Intelligence issues. Role Overview: As a Principal Solution Architect, you will lead and develop the solution architecture practice, serving as the technical authority and strategic link between clients, delivery teams, and leadership. This hybrid role blends principal-level technical expertise with the broad vision of a solution architect, guiding engagements from initial discovery through to successful delivery. You will define architectural standards, establish reference patterns, and create reusable frameworks to accelerate and enhance solution delivery across the business. Your role spans AI-powered product design and multi-cloud infrastructure, ensuring our solutions are innovative, scalable, and resilient. As both a strategic leader and hands-on technologist, you will confidently engage with C-suite stakeholders, collaborate with engineering teams, and evaluate cloud-native design patterns across platforms like GCP, AWS, and Azure. Responsibilities: Set the vision, standards, and technical direction for the solution architecture practice at Sprint Reply. Lead architectural solutioning across client engagements, translating business challenges into scalable, AI-powered, cloud-native architectures. Work directly with clients to understand strategic priorities, run discovery workshops, and develop solution proposals that integrate AI, data, and cloud capabilities. Ensure architectural integrity and best practices are maintained from proof-of-concept through to production deployment. Collaborate closely with delivery managers, engineers, and business analysts to deliver robust, measurable solutions. Design event-driven, serverless, and composable architectures across multi-cloud platforms including GCP, AWS, and Azure. Drive the maturity of technical capabilities by embedding reusable patterns, reference architectures, and architecture review processes. Mentor engineers and aspiring architects, supporting their professional growth and technical development. Serve as a visible technical leader in both client and partner engagements, from pre-sales to post-implementation assurance. Represent Sprint Reply as a technical ambassador with partners like Microsoft, AWS, and Google, aligning solution strategies to evolving platform innovations. About the Candidate: 10+ years' experience in solution or enterprise architecture, with a strong background in AI-powered, cloud-native solutions. Deep technical authority with a hands-on, consultative mindset, able to set architectural direction and foresee emerging trends. Advanced knowledge of AI and ML technologies, including generative AI, agentic architectures, RAG pipelines, LLM integration, and responsible AI governance. Strong multi-cloud expertise with GCP, AWS, and Azure, including serverless, event-driven architectures, IaC, and container orchestration. Proven ability to lead end-to-end solutioning across complex, multi-stakeholder engagements and deliver measurable business outcomes. Demonstrated experience in regulated and enterprise environments, ensuring solutions meet compliance and security standards. Skilled in designing reference architectures and solution accelerators that uplift technical teams and drive architectural maturity. Excellent client-facing communication, capable of translating technical complexity into compelling narratives for senior stakeholders and C-suite. Able to act as an integrator, aligning business goals, technical platforms, AI capabilities, and delivery teams into cohesive solutions. Reply is an Equal Opportunities Employer and committed to embracing diversity in the workplace. We provide equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type regardless of age, sexual orientation, gender, identity, pregnancy, religion, nationality, ethnic origin, disability, medical history, skincolour, marital status or parental status or any other characteristic protected by the Law. Reply is committed to making sure that our selection methods are fair to everyone. To help you during the recruitment process, please let us know of any Reasonable Adjustments you may need .
25/05/2026
Full time
Career Opportunities: Principal Solution Architect (11179) Requisition ID11179-Posted - Years of Experience (1) -Technology- Where (1) Sprint Reply is the ReplyGroup companyspecialisedin Intelligent Process Automation. Our mission is to create automation platforms capable of solving concrete business problems, supporting our customers in the transformation towardsthe IntelligentEnterprise and the adoption of a scalable and efficient Digital Workforce. In Sprint Reply we combine anexecution orientedengineering approach with strong experiences on 4 technology families, Robotic Process Automation, Computer Vision & ICR, AI & Machine Learning and Process Mining, dedicating constant attention to R&D on various Artificial Intelligence issues. Role Overview: As a Principal Solution Architect, you will lead and develop the solution architecture practice, serving as the technical authority and strategic link between clients, delivery teams, and leadership. This hybrid role blends principal-level technical expertise with the broad vision of a solution architect, guiding engagements from initial discovery through to successful delivery. You will define architectural standards, establish reference patterns, and create reusable frameworks to accelerate and enhance solution delivery across the business. Your role spans AI-powered product design and multi-cloud infrastructure, ensuring our solutions are innovative, scalable, and resilient. As both a strategic leader and hands-on technologist, you will confidently engage with C-suite stakeholders, collaborate with engineering teams, and evaluate cloud-native design patterns across platforms like GCP, AWS, and Azure. Responsibilities: Set the vision, standards, and technical direction for the solution architecture practice at Sprint Reply. Lead architectural solutioning across client engagements, translating business challenges into scalable, AI-powered, cloud-native architectures. Work directly with clients to understand strategic priorities, run discovery workshops, and develop solution proposals that integrate AI, data, and cloud capabilities. Ensure architectural integrity and best practices are maintained from proof-of-concept through to production deployment. Collaborate closely with delivery managers, engineers, and business analysts to deliver robust, measurable solutions. Design event-driven, serverless, and composable architectures across multi-cloud platforms including GCP, AWS, and Azure. Drive the maturity of technical capabilities by embedding reusable patterns, reference architectures, and architecture review processes. Mentor engineers and aspiring architects, supporting their professional growth and technical development. Serve as a visible technical leader in both client and partner engagements, from pre-sales to post-implementation assurance. Represent Sprint Reply as a technical ambassador with partners like Microsoft, AWS, and Google, aligning solution strategies to evolving platform innovations. About the Candidate: 10+ years' experience in solution or enterprise architecture, with a strong background in AI-powered, cloud-native solutions. Deep technical authority with a hands-on, consultative mindset, able to set architectural direction and foresee emerging trends. Advanced knowledge of AI and ML technologies, including generative AI, agentic architectures, RAG pipelines, LLM integration, and responsible AI governance. Strong multi-cloud expertise with GCP, AWS, and Azure, including serverless, event-driven architectures, IaC, and container orchestration. Proven ability to lead end-to-end solutioning across complex, multi-stakeholder engagements and deliver measurable business outcomes. Demonstrated experience in regulated and enterprise environments, ensuring solutions meet compliance and security standards. Skilled in designing reference architectures and solution accelerators that uplift technical teams and drive architectural maturity. Excellent client-facing communication, capable of translating technical complexity into compelling narratives for senior stakeholders and C-suite. Able to act as an integrator, aligning business goals, technical platforms, AI capabilities, and delivery teams into cohesive solutions. Reply is an Equal Opportunities Employer and committed to embracing diversity in the workplace. We provide equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type regardless of age, sexual orientation, gender, identity, pregnancy, religion, nationality, ethnic origin, disability, medical history, skincolour, marital status or parental status or any other characteristic protected by the Law. Reply is committed to making sure that our selection methods are fair to everyone. To help you during the recruitment process, please let us know of any Reasonable Adjustments you may need .
White Collar Factory (95009), United Kingdom, London, London Staff Software Engineer - Machine Learning About this role We're on a mission to transform the way we use data and AI to service our customers and drive efficiency across the business. Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex ML and AI challenges and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders who drive engineering excellence, foster innovation, and deliver impactful ML/AI and Gen AI solutions that meet real customer needs. What You'll Do Own and drive the ML/AI technical strategy for UK use cases, spanning multiple teams and influencing the overall technical direction for AI adoption Lead and coordinate ML engineering efforts across multiple teams, ensuring alignment with broader business objectives, enterprise platform capabilities, and technology strategy Provide technical consultancy to teams delivering AI use cases, guiding architectural decisions, solution design, and effective use of enterprise ML/AI platforms and capabilities Proactively identify emerging ML/AI patterns, define and evangelise best practices, and establish reusable approaches that enhance delivery of AI use cases across the business Drive MLOps standards and practices across teams, including CI/CD for models, automated testing, monitoring, and deployment pipelines Collaborate with enterprise platform and data science teams, contributing to platform capabilities where appropriate and partnering on use case delivery Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, data science teams, and enterprise platform partners Represent Capital One in external ML/AI technical forums, contributing to industry discussions Develop and advocate for strategies to proactively manage technical debt across ML/AI systems Actively mentor and develop engineers, fostering a culture of continuous learning What we're looking for Deep expertise in Python and ML engineering Deep expertise in ML/AI systems design, MLOps, and cloud-native architectures Track record of leading ML/AI technical initiatives across multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG) Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality management for AI systems Experience designing and scaling low-latency, customer-facing ML/AI architectures Proven experience setting a multi-team ML/AI technical vision and strategy Strong track record of technical leadership and influence without authority Experience driving ML engineering standards and best practices across organisations Deep understanding of the full ML/AI development lifecycle, including model serving, data pipelines, and Gen AI systems Experience leveraging enterprise platforms to deliver business use cases at scale Experience of steering Communities of Practice or technical forums Strong business acumen and ability to translate ML/AI concepts for various audiences Where and how you'll work This is a permanent position based in our London office. We have a hybrid working model which gives you flexibility to work from our office and from home. We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. 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 also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Enabled - focused on supporting associates with disabilities and neurodiversity 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. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
25/05/2026
Full time
White Collar Factory (95009), United Kingdom, London, London Staff Software Engineer - Machine Learning About this role We're on a mission to transform the way we use data and AI to service our customers and drive efficiency across the business. Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex ML and AI challenges and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders who drive engineering excellence, foster innovation, and deliver impactful ML/AI and Gen AI solutions that meet real customer needs. What You'll Do Own and drive the ML/AI technical strategy for UK use cases, spanning multiple teams and influencing the overall technical direction for AI adoption Lead and coordinate ML engineering efforts across multiple teams, ensuring alignment with broader business objectives, enterprise platform capabilities, and technology strategy Provide technical consultancy to teams delivering AI use cases, guiding architectural decisions, solution design, and effective use of enterprise ML/AI platforms and capabilities Proactively identify emerging ML/AI patterns, define and evangelise best practices, and establish reusable approaches that enhance delivery of AI use cases across the business Drive MLOps standards and practices across teams, including CI/CD for models, automated testing, monitoring, and deployment pipelines Collaborate with enterprise platform and data science teams, contributing to platform capabilities where appropriate and partnering on use case delivery Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, data science teams, and enterprise platform partners Represent Capital One in external ML/AI technical forums, contributing to industry discussions Develop and advocate for strategies to proactively manage technical debt across ML/AI systems Actively mentor and develop engineers, fostering a culture of continuous learning What we're looking for Deep expertise in Python and ML engineering Deep expertise in ML/AI systems design, MLOps, and cloud-native architectures Track record of leading ML/AI technical initiatives across multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG) Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality management for AI systems Experience designing and scaling low-latency, customer-facing ML/AI architectures Proven experience setting a multi-team ML/AI technical vision and strategy Strong track record of technical leadership and influence without authority Experience driving ML engineering standards and best practices across organisations Deep understanding of the full ML/AI development lifecycle, including model serving, data pipelines, and Gen AI systems Experience leveraging enterprise platforms to deliver business use cases at scale Experience of steering Communities of Practice or technical forums Strong business acumen and ability to translate ML/AI concepts for various audiences Where and how you'll work This is a permanent position based in our London office. We have a hybrid working model which gives you flexibility to work from our office and from home. We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. 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 also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Enabled - focused on supporting associates with disabilities and neurodiversity 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. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
White Collar Factory (95009), United Kingdom, London, London Staff Software Engineer - Machine Learning About this role We're on a mission to transform the way we use data and AI to service our customers and drive efficiency across the business. Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex ML and AI challenges and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders who drive engineering excellence, foster innovation, and deliver impactful ML/AI and Gen AI solutions that meet real customer needs. What You'll Do Own and drive the ML/AI technical strategy for UK use cases, spanning multiple teams and influencing the overall technical direction for AI adoption Lead and coordinate ML engineering efforts across multiple teams, ensuring alignment with broader business objectives, enterprise platform capabilities, and technology strategy Provide technical consultancy to teams delivering AI use cases, guiding architectural decisions, solution design, and effective use of enterprise ML/AI platforms and capabilities Proactively identify emerging ML/AI patterns, define and evangelise best practices, and establish reusable approaches that enhance delivery of AI use cases across the business Drive MLOps standards and practices across teams, including CI/CD for models, automated testing, monitoring, and deployment pipelines Collaborate with enterprise platform and data science teams, contributing to platform capabilities where appropriate and partnering on use case delivery Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, data science teams, and enterprise platform partners Represent Capital One in external ML/AI technical forums, contributing to industry discussions Develop and advocate for strategies to proactively manage technical debt across ML/AI systems Actively mentor and develop engineers, fostering a culture of continuous learning What we're looking for Deep expertise in Python and ML engineering Deep expertise in ML/AI systems design, MLOps, and cloud-native architectures Track record of leading ML/AI technical initiatives across multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG) Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality management for AI systems Experience designing and scaling low-latency, customer-facing ML/AI architectures Proven experience setting a multi-team ML/AI technical vision and strategy Strong track record of technical leadership and influence without authority Experience driving ML engineering standards and best practices across organisations Deep understanding of the full ML/AI development lifecycle, including model serving, data pipelines, and Gen AI systems Experience leveraging enterprise platforms to deliver business use cases at scale Experience of steering Communities of Practice or technical forums Strong business acumen and ability to translate ML/AI concepts for various audiences Where and how you'll work This is a permanent position based in our London office. We have a hybrid working model which gives you flexibility to work from our office and from home. We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. 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 also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name
25/05/2026
Full time
White Collar Factory (95009), United Kingdom, London, London Staff Software Engineer - Machine Learning About this role We're on a mission to transform the way we use data and AI to service our customers and drive efficiency across the business. Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex ML and AI challenges and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders who drive engineering excellence, foster innovation, and deliver impactful ML/AI and Gen AI solutions that meet real customer needs. What You'll Do Own and drive the ML/AI technical strategy for UK use cases, spanning multiple teams and influencing the overall technical direction for AI adoption Lead and coordinate ML engineering efforts across multiple teams, ensuring alignment with broader business objectives, enterprise platform capabilities, and technology strategy Provide technical consultancy to teams delivering AI use cases, guiding architectural decisions, solution design, and effective use of enterprise ML/AI platforms and capabilities Proactively identify emerging ML/AI patterns, define and evangelise best practices, and establish reusable approaches that enhance delivery of AI use cases across the business Drive MLOps standards and practices across teams, including CI/CD for models, automated testing, monitoring, and deployment pipelines Collaborate with enterprise platform and data science teams, contributing to platform capabilities where appropriate and partnering on use case delivery Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, data science teams, and enterprise platform partners Represent Capital One in external ML/AI technical forums, contributing to industry discussions Develop and advocate for strategies to proactively manage technical debt across ML/AI systems Actively mentor and develop engineers, fostering a culture of continuous learning What we're looking for Deep expertise in Python and ML engineering Deep expertise in ML/AI systems design, MLOps, and cloud-native architectures Track record of leading ML/AI technical initiatives across multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG) Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality management for AI systems Experience designing and scaling low-latency, customer-facing ML/AI architectures Proven experience setting a multi-team ML/AI technical vision and strategy Strong track record of technical leadership and influence without authority Experience driving ML engineering standards and best practices across organisations Deep understanding of the full ML/AI development lifecycle, including model serving, data pipelines, and Gen AI systems Experience leveraging enterprise platforms to deliver business use cases at scale Experience of steering Communities of Practice or technical forums Strong business acumen and ability to translate ML/AI concepts for various audiences Where and how you'll work This is a permanent position based in our London office. We have a hybrid working model which gives you flexibility to work from our office and from home. We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. 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 also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name
Bloomreach is building the world's premieragentic platform for personalization.We're revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize theentirecustomer journey. We're takingautonomous searchmainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses. We're makingconversational shoppinga reality, connecting every shopper with tailored guidance and product expertise - available on demand, at every touchpoint in their journey. We're designing the future ofautonomous marketing, taking the work out of workflows, and reclaiming the creative, strategic, and customer-first work marketers were always meant to do. And we're building all of that on the intelligence of a single AI engine -Loomi AI- so that personalization isn't only autonomous it's also consistent. From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora. Purpose of the Role Enterprise Discovery customers increasingly require hands-on customisation beyond standard product configuration. The Forward Deployed Engineer (FDE) is a dedicated, customer-embedded engineering role designed to own the full spectrum of technical customisation for our top-tier accounts. You will bridge the gap between post-sales support and core product engineering, serving as a technical "special forces" operative who translates complex business requirements into tangible code and system optimisations. The Customisation Spectrum The FDE is purpose-built to own Levels 1-5 of the customisation spectrum, ensuring that core R&D remains focused on next-generation platform development: Education: Platform training, feature evangelism, and root-cause explanation. Configuration: Dashboard, integration, and algorithm configuration changes. Surgical Tweaks: Customer-specific process changes and deep data analysis. Custom Code: Conversational agents, platform extensions, and feature customization. Escalation: Identifying major product changes for Core Engineering cycles. Key Responsibilities Account Ownership: Maintain ongoing technical ownership of 2-3 high-value enterprise accounts; this is not a rotational assignment. Technical Implementation: Build and deploy conversational agents, custom extensions, and algorithmic tweaks to solve specific business problems. Data-Driven Validation: Use A/B testing and deep data analysis to validate the impact of technical changes on customer KPIs. On-Site Collaboration: Travel to customer sites (EMEA/AMER) to lead technical workshops and deeply understand their architectural constraints. Feedback Loop: Act as a critical bridge to R&D, identifying recurring customization needs that should be productized in the core platform. Candidate Profile We are looking for a unique blend of high-level engineering talent and strategic business acumen: The Mix: 50% Programmer 30% Product Acumen 20% Soft Skills & Problem Solving. Search Specialist: Deep knowledge of search internals, including ranking models, catalog configuration, relevance, recall, and personalization. Technical Generalist: Fluent enough in code to make minor to moderate changes to support testing and custom extensions. Consultative Mindset: Ability to translate nebulous business goals into specific technical solutions and communicate those to stakeholders. Requirements Experience: Proven track record in Search Engineering, Machine Learning Engineering, or high-end Technical Delivery. Product Knowledge: Deep understanding of Discovery platforms and how ranking/algorithms impact e-commerce performance. Soft Skills: Exceptional communication skills with the ability to navigate complex enterprise environments. Mobility: Willingness to travel internationally to engage with customers in their own environments. More things you'll like about Bloomreach: Culture: A great deal of freedom and trust. At Bloomreach we don't clock in and out, and we have neither corporate rules nor long approval processes. This freedom goes hand in hand with responsibility. We are interested in results from day one. We have defined our 5 values and the 10 underlying key behaviors that we strongly believe in. We can only succeed if everyone lives these behaviors day to day. We've embedded them in our processes like recruitment, onboarding, feedback, personal development, performance review and internal communication. We believe in flexible working hours to accommodate your working style. We work virtual-first with several Bloomreach Hubs available across three continents. We organize company events to experience the global spirit of the company and get excited about what's ahead. We encourage and support our employees to engage in volunteering activities - every Bloomreacher can take 5 paid days off to volunteer. We have a People Development Program participating in personal development workshops on various topics run by experts from inside the company. We are continuously developing & updating competency maps for select functions. Our resident communication coach Ivo Večeřa is available to help navigate work-related communications & decision-making challenges. Our managers are strongly encouraged to participate in the Leader Development Program to develop in the areas we consider essential for any leader. The program includes regular comprehensive feedback, consultations with a coach and follow-up check-ins. Bloomreachers utilize the $1,500 professional education budget on an annual basis to purchase education products (books, courses, certifications, etc.) The Employee Assistance Program with counselors is available for non-work-related challenges. Subscription to Calm - sleep and meditation app. We organize 'DisConnect' days where Bloomreachers globally enjoy one additional day off each quarter, allowing us to unwind together and focus on activities away from the screen with our loved ones. We facilitate sports, yoga, and meditation opportunities for each other. Extended parental leave up to 26 calendar weeks for Primary Caregivers. Compensation: Restricted Stock Units or Stock Options are granted depending on a team member's role, seniority, and location. Everyone gets to participate in the company's success through the company performance bonus. We offer an employee referral bonus of up to $3,000 paid out immediately after the new hire starts. We reward & celebrate work anniversaries Bloomversaries! Excited? Join us and transform the future of commerce experiences!
25/05/2026
Full time
Bloomreach is building the world's premieragentic platform for personalization.We're revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize theentirecustomer journey. We're takingautonomous searchmainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses. We're makingconversational shoppinga reality, connecting every shopper with tailored guidance and product expertise - available on demand, at every touchpoint in their journey. We're designing the future ofautonomous marketing, taking the work out of workflows, and reclaiming the creative, strategic, and customer-first work marketers were always meant to do. And we're building all of that on the intelligence of a single AI engine -Loomi AI- so that personalization isn't only autonomous it's also consistent. From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora. Purpose of the Role Enterprise Discovery customers increasingly require hands-on customisation beyond standard product configuration. The Forward Deployed Engineer (FDE) is a dedicated, customer-embedded engineering role designed to own the full spectrum of technical customisation for our top-tier accounts. You will bridge the gap between post-sales support and core product engineering, serving as a technical "special forces" operative who translates complex business requirements into tangible code and system optimisations. The Customisation Spectrum The FDE is purpose-built to own Levels 1-5 of the customisation spectrum, ensuring that core R&D remains focused on next-generation platform development: Education: Platform training, feature evangelism, and root-cause explanation. Configuration: Dashboard, integration, and algorithm configuration changes. Surgical Tweaks: Customer-specific process changes and deep data analysis. Custom Code: Conversational agents, platform extensions, and feature customization. Escalation: Identifying major product changes for Core Engineering cycles. Key Responsibilities Account Ownership: Maintain ongoing technical ownership of 2-3 high-value enterprise accounts; this is not a rotational assignment. Technical Implementation: Build and deploy conversational agents, custom extensions, and algorithmic tweaks to solve specific business problems. Data-Driven Validation: Use A/B testing and deep data analysis to validate the impact of technical changes on customer KPIs. On-Site Collaboration: Travel to customer sites (EMEA/AMER) to lead technical workshops and deeply understand their architectural constraints. Feedback Loop: Act as a critical bridge to R&D, identifying recurring customization needs that should be productized in the core platform. Candidate Profile We are looking for a unique blend of high-level engineering talent and strategic business acumen: The Mix: 50% Programmer 30% Product Acumen 20% Soft Skills & Problem Solving. Search Specialist: Deep knowledge of search internals, including ranking models, catalog configuration, relevance, recall, and personalization. Technical Generalist: Fluent enough in code to make minor to moderate changes to support testing and custom extensions. Consultative Mindset: Ability to translate nebulous business goals into specific technical solutions and communicate those to stakeholders. Requirements Experience: Proven track record in Search Engineering, Machine Learning Engineering, or high-end Technical Delivery. Product Knowledge: Deep understanding of Discovery platforms and how ranking/algorithms impact e-commerce performance. Soft Skills: Exceptional communication skills with the ability to navigate complex enterprise environments. Mobility: Willingness to travel internationally to engage with customers in their own environments. More things you'll like about Bloomreach: Culture: A great deal of freedom and trust. At Bloomreach we don't clock in and out, and we have neither corporate rules nor long approval processes. This freedom goes hand in hand with responsibility. We are interested in results from day one. We have defined our 5 values and the 10 underlying key behaviors that we strongly believe in. We can only succeed if everyone lives these behaviors day to day. We've embedded them in our processes like recruitment, onboarding, feedback, personal development, performance review and internal communication. We believe in flexible working hours to accommodate your working style. We work virtual-first with several Bloomreach Hubs available across three continents. We organize company events to experience the global spirit of the company and get excited about what's ahead. We encourage and support our employees to engage in volunteering activities - every Bloomreacher can take 5 paid days off to volunteer. We have a People Development Program participating in personal development workshops on various topics run by experts from inside the company. We are continuously developing & updating competency maps for select functions. Our resident communication coach Ivo Večeřa is available to help navigate work-related communications & decision-making challenges. Our managers are strongly encouraged to participate in the Leader Development Program to develop in the areas we consider essential for any leader. The program includes regular comprehensive feedback, consultations with a coach and follow-up check-ins. Bloomreachers utilize the $1,500 professional education budget on an annual basis to purchase education products (books, courses, certifications, etc.) The Employee Assistance Program with counselors is available for non-work-related challenges. Subscription to Calm - sleep and meditation app. We organize 'DisConnect' days where Bloomreachers globally enjoy one additional day off each quarter, allowing us to unwind together and focus on activities away from the screen with our loved ones. We facilitate sports, yoga, and meditation opportunities for each other. Extended parental leave up to 26 calendar weeks for Primary Caregivers. Compensation: Restricted Stock Units or Stock Options are granted depending on a team member's role, seniority, and location. Everyone gets to participate in the company's success through the company performance bonus. We offer an employee referral bonus of up to $3,000 paid out immediately after the new hire starts. We reward & celebrate work anniversaries Bloomversaries! Excited? Join us and transform the future of commerce experiences!
Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), led by deep-tech investors Plural (whose portfolio spans fusion energy and space exploration), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen Relay's Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. THE TEAM 110 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation The Opportunity At Relay, we rely on data to guide how every parcel moves through our network - from when it enters the system to when it's delivered at the doorstep. Our data infrastructure is the backbone that powers everything from real-time operational decisions to strategic business insights to networks of autonomous AI agents. We're looking for a Senior Analytics Engineer to sit within our Last Mile squad; our biggest and most data rich squad. Your role will help contribute to the success of the key agentic workflows that power our Last Mile marketplace. You'll be joining at an exciting moment as we grow rapidly and expand our network across the UK. Who Will Thrive in this role? Design core data models - Partner with engineers and business leaders within the Last Mile squad to design and build foundational data models that power analytics, data science and AI workflows Build the foundations for our key AI systems - Our Last Mile marketplace is becoming increasingly agentic, you will be a key owner of the inputs that power these systems Drive data quality - Implement testing, monitoring, and alerting to ensure our data is accurate, timely, and trustworthy Collaborate - Work with team members across the business to understand their data needs and deliver solutions Shape our practices - Help define and evolve our analytics engineering processes and standards as we scale What We're Looking For 5+ years of experience as an analytics engineer, data engineer, data analyst or similar role Extensive experience with SQL, particularly with BigQuery and PostgreSQL Demonstrated experience with dbt, with a track record of building and maintaining efficient, scalable, and reliable DAGs Python proficiency for data manipulation, scripting, and automation Experience with data visualisation tools such as Tableau, Looker, or similar Experience in effective communication, particularly in gathering requirements and guiding non-technical stakeholders to the right data solutions Familiarity with using AI tools to accelerate your workflow Nice to Have Experience with orchestration tools like Dagster, Airflow, or similar Experience building real-time or near-real-time data pipelines Familiarity with machine learning workflows and feature engineering Experience embedded in teams building customer facing products Previous experience of learning and modelling an unfamiliar operational domain A desire to see the real world impact of what you work on! Compensation, Benefits & Workplace Generous equity, richer than 99% of European startups, with annual top-ups to share Relay's success. Private health & dental coverage, so comprehensive you'd need to be a partner at a Magic Circle law firm to match it. 25 days of holidays Enhanced parental leave. Hardware of your choice. Extensive perks (gym subsidies, cycle-to-work, Friday office lunch, covered Uber home and dinner for late nights, and more). Located in Shoreditch, our office set-up enables the kind of in-person interactions that drive impact. We work 4 days on-site, with 1 day remote. Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
24/05/2026
Full time
Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), led by deep-tech investors Plural (whose portfolio spans fusion energy and space exploration), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen Relay's Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. THE TEAM 110 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation The Opportunity At Relay, we rely on data to guide how every parcel moves through our network - from when it enters the system to when it's delivered at the doorstep. Our data infrastructure is the backbone that powers everything from real-time operational decisions to strategic business insights to networks of autonomous AI agents. We're looking for a Senior Analytics Engineer to sit within our Last Mile squad; our biggest and most data rich squad. Your role will help contribute to the success of the key agentic workflows that power our Last Mile marketplace. You'll be joining at an exciting moment as we grow rapidly and expand our network across the UK. Who Will Thrive in this role? Design core data models - Partner with engineers and business leaders within the Last Mile squad to design and build foundational data models that power analytics, data science and AI workflows Build the foundations for our key AI systems - Our Last Mile marketplace is becoming increasingly agentic, you will be a key owner of the inputs that power these systems Drive data quality - Implement testing, monitoring, and alerting to ensure our data is accurate, timely, and trustworthy Collaborate - Work with team members across the business to understand their data needs and deliver solutions Shape our practices - Help define and evolve our analytics engineering processes and standards as we scale What We're Looking For 5+ years of experience as an analytics engineer, data engineer, data analyst or similar role Extensive experience with SQL, particularly with BigQuery and PostgreSQL Demonstrated experience with dbt, with a track record of building and maintaining efficient, scalable, and reliable DAGs Python proficiency for data manipulation, scripting, and automation Experience with data visualisation tools such as Tableau, Looker, or similar Experience in effective communication, particularly in gathering requirements and guiding non-technical stakeholders to the right data solutions Familiarity with using AI tools to accelerate your workflow Nice to Have Experience with orchestration tools like Dagster, Airflow, or similar Experience building real-time or near-real-time data pipelines Familiarity with machine learning workflows and feature engineering Experience embedded in teams building customer facing products Previous experience of learning and modelling an unfamiliar operational domain A desire to see the real world impact of what you work on! Compensation, Benefits & Workplace Generous equity, richer than 99% of European startups, with annual top-ups to share Relay's success. Private health & dental coverage, so comprehensive you'd need to be a partner at a Magic Circle law firm to match it. 25 days of holidays Enhanced parental leave. Hardware of your choice. Extensive perks (gym subsidies, cycle-to-work, Friday office lunch, covered Uber home and dinner for late nights, and more). Located in Shoreditch, our office set-up enables the kind of in-person interactions that drive impact. We work 4 days on-site, with 1 day remote. Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), led by deep-tech investors Plural (whose portfolio spans fusion energy and space exploration), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen Relay's Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. THE TEAM 110 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation The Opportunity At Relay, we rely on data to guide how every parcel moves through our network - from when it enters the system to when it's delivered at the doorstep. Our data infrastructure is the backbone that powers everything from real-time operational decisions to strategic business insights to networks of autonomous AI agents. We're looking for a Senior Analytics Engineer to sit within our Last Mile squad; our biggest and most data rich squad. Your role will help contribute to the success of the key agentic workflows that power our Last Mile marketplace. You'll be joining at an exciting moment as we grow rapidly and expand our network across the UK. Who Will Thrive in this role? Design core data models - Partner with engineers and business leaders within the Last Mile squad to design and build foundational data models that power analytics, data science and AI workflows Build the foundations for our key AI systems - Our Last Mile marketplace is becoming increasingly agentic, you will be a key owner of the inputs that power these systems Drive data quality - Implement testing, monitoring, and alerting to ensure our data is accurate, timely, and trustworthy Collaborate - Work with team members across the business to understand their data needs and deliver solutions Shape our practices - Help define and evolve our analytics engineering processes and standards as we scale What We're Looking For 5+ years of experience as an analytics engineer, data engineer, data analyst or similar role Extensive experience with SQL, particularly with BigQuery and PostgreSQL Demonstrated experience with dbt, with a track record of building and maintaining efficient, scalable, and reliable DAGs Python proficiency for data manipulation, scripting, and automation Experience with data visualisation tools such as Tableau, Looker, or similar Experience in effective communication, particularly in gathering requirements and guiding non-technical stakeholders to the right data solutions Familiarity with using AI tools to accelerate your workflow Nice to Have Experience with orchestration tools like Dagster, Airflow, or similar Experience building real-time or near-real-time data pipelines Familiarity with machine learning workflows and feature engineering Experience embedded in teams building customer facing products Previous experience of learning and modelling an unfamiliar operational domain A desire to see the real world impact of what you work on! Compensation, Benefits & Workplace Generous equity, richer than 99% of European startups, with annual top-ups to share Relay's success. Private health & dental coverage, so comprehensive you'd need to be a partner at a Magic Circle law firm to match it. 25 days of holidays Enhanced parental leave. Hardware of your choice. Extensive perks (gym subsidies, cycle-to-work, Friday office lunch, covered Uber home and dinner for late nights, and more). Located in Shoreditch, our office set-up enables the kind of in-person interactions that drive impact. We work 4 days on-site, with 1 day remote. Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
24/05/2026
Full time
Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), led by deep-tech investors Plural (whose portfolio spans fusion energy and space exploration), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen Relay's Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. THE TEAM 110 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation The Opportunity At Relay, we rely on data to guide how every parcel moves through our network - from when it enters the system to when it's delivered at the doorstep. Our data infrastructure is the backbone that powers everything from real-time operational decisions to strategic business insights to networks of autonomous AI agents. We're looking for a Senior Analytics Engineer to sit within our Last Mile squad; our biggest and most data rich squad. Your role will help contribute to the success of the key agentic workflows that power our Last Mile marketplace. You'll be joining at an exciting moment as we grow rapidly and expand our network across the UK. Who Will Thrive in this role? Design core data models - Partner with engineers and business leaders within the Last Mile squad to design and build foundational data models that power analytics, data science and AI workflows Build the foundations for our key AI systems - Our Last Mile marketplace is becoming increasingly agentic, you will be a key owner of the inputs that power these systems Drive data quality - Implement testing, monitoring, and alerting to ensure our data is accurate, timely, and trustworthy Collaborate - Work with team members across the business to understand their data needs and deliver solutions Shape our practices - Help define and evolve our analytics engineering processes and standards as we scale What We're Looking For 5+ years of experience as an analytics engineer, data engineer, data analyst or similar role Extensive experience with SQL, particularly with BigQuery and PostgreSQL Demonstrated experience with dbt, with a track record of building and maintaining efficient, scalable, and reliable DAGs Python proficiency for data manipulation, scripting, and automation Experience with data visualisation tools such as Tableau, Looker, or similar Experience in effective communication, particularly in gathering requirements and guiding non-technical stakeholders to the right data solutions Familiarity with using AI tools to accelerate your workflow Nice to Have Experience with orchestration tools like Dagster, Airflow, or similar Experience building real-time or near-real-time data pipelines Familiarity with machine learning workflows and feature engineering Experience embedded in teams building customer facing products Previous experience of learning and modelling an unfamiliar operational domain A desire to see the real world impact of what you work on! Compensation, Benefits & Workplace Generous equity, richer than 99% of European startups, with annual top-ups to share Relay's success. Private health & dental coverage, so comprehensive you'd need to be a partner at a Magic Circle law firm to match it. 25 days of holidays Enhanced parental leave. Hardware of your choice. Extensive perks (gym subsidies, cycle-to-work, Friday office lunch, covered Uber home and dinner for late nights, and more). Located in Shoreditch, our office set-up enables the kind of in-person interactions that drive impact. We work 4 days on-site, with 1 day remote. Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we've worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here. We don't chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we're always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch-defining technology, join a company where you'll be empowered to envision its most powerful applications, and to make them happen. About the team Our Defence team is focused on building and embedding human-centered AI solutions which give our nation a competitive edge in the defence sector. We collaborate with our clients to bring ethical, reliable and cutting-edge AI to high-stakes situations and maintain the balance of global powers essential to our liberty. Because of the nature of the work we do with our Defence clients, you will need to be eligible for UK Security Clearance (SC) and willing to work between 2 to 4 days per week on site with these customers which may require travel to locations throughout the UK. When not required on client sites, you'll have the flexibility to work from our London office or remotely from elsewhere within the UK. About the role We are looking for an ambitious Software Engineer to join our Defence team and help us push the boundaries of what's possible in cloud and edge computing. In this individual contributor role, you will work alongside senior technical leaders to implement high impact patterns and practices that elevate the quality of our technical delivery. This is an opportunity to operate at the intersection of Machine Learning Engineering and Data Science, applying elite engineering standards to solve complex, real world problems that provide immediate value to our customers. What you'll be doing: Building and extending critical components of client deliverables across diverse software domains. Delivering robust technical artefacts in both compiled and non compiled languages to meet project goals. Implementing defined engineering patterns and practices specifically tailored for the Defence sector. Collaborating closely with MLE and Data Science teams to integrate and refine technical solutions. Applying rigorous software engineering best practices to enhance the scalability and quality of our codebases. Executing CI/CD processes and managing application deployments on Kubernetes and bare metal environments. Who we're looking for: You have a proven ability to solve bounded technical problems and deliver robust, scalable technologies. You possess hands on experience in application development with a solid understanding of system architecture. You are proficient in Python and have contributed to production codebases in Rust, C++, Go, C#, or Java. You have experience participating in complex technical projects, including pair programming and code reviews. You bring a genuine passion for understanding customer problems and delivering high value solutions. You are comfortable working with Docker and GitLab to manage modern deployment pipelines. The Interview Process Talent Team Screen (30 minutes) System Design Interview (90 minutes) Pair Programming Interview (90 minutes) Commercial & Leadership Interview (60 minutes) Our Recruitment Ethos We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We're united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations. Some of our standout benefits: Unlimited Annual Leave Policy Private healthcare and dental Enhanced parental leave Family-Friendly Flexibility & Flexible working Sanctus Coaching Hybrid Working If you don't feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part time hours.
24/05/2026
Full time
Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we've worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here. We don't chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we're always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch-defining technology, join a company where you'll be empowered to envision its most powerful applications, and to make them happen. About the team Our Defence team is focused on building and embedding human-centered AI solutions which give our nation a competitive edge in the defence sector. We collaborate with our clients to bring ethical, reliable and cutting-edge AI to high-stakes situations and maintain the balance of global powers essential to our liberty. Because of the nature of the work we do with our Defence clients, you will need to be eligible for UK Security Clearance (SC) and willing to work between 2 to 4 days per week on site with these customers which may require travel to locations throughout the UK. When not required on client sites, you'll have the flexibility to work from our London office or remotely from elsewhere within the UK. About the role We are looking for an ambitious Software Engineer to join our Defence team and help us push the boundaries of what's possible in cloud and edge computing. In this individual contributor role, you will work alongside senior technical leaders to implement high impact patterns and practices that elevate the quality of our technical delivery. This is an opportunity to operate at the intersection of Machine Learning Engineering and Data Science, applying elite engineering standards to solve complex, real world problems that provide immediate value to our customers. What you'll be doing: Building and extending critical components of client deliverables across diverse software domains. Delivering robust technical artefacts in both compiled and non compiled languages to meet project goals. Implementing defined engineering patterns and practices specifically tailored for the Defence sector. Collaborating closely with MLE and Data Science teams to integrate and refine technical solutions. Applying rigorous software engineering best practices to enhance the scalability and quality of our codebases. Executing CI/CD processes and managing application deployments on Kubernetes and bare metal environments. Who we're looking for: You have a proven ability to solve bounded technical problems and deliver robust, scalable technologies. You possess hands on experience in application development with a solid understanding of system architecture. You are proficient in Python and have contributed to production codebases in Rust, C++, Go, C#, or Java. You have experience participating in complex technical projects, including pair programming and code reviews. You bring a genuine passion for understanding customer problems and delivering high value solutions. You are comfortable working with Docker and GitLab to manage modern deployment pipelines. The Interview Process Talent Team Screen (30 minutes) System Design Interview (90 minutes) Pair Programming Interview (90 minutes) Commercial & Leadership Interview (60 minutes) Our Recruitment Ethos We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We're united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations. Some of our standout benefits: Unlimited Annual Leave Policy Private healthcare and dental Enhanced parental leave Family-Friendly Flexibility & Flexible working Sanctus Coaching Hybrid Working If you don't feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part time hours.
