Work in a small software team on scientific instrumentation software projects Royston, Hertfordshire; to £65,000 DoE This established scientific instrument company provides applied biotechnologies used for protein characterisation, antibody discovery and cell line development. Their instruments are based on proprietary innovations around microfluidic systems and transformative in-solution technologies. They currently have a small software team and are looking for a senior / mid-level software engineer to join them. Responsibilities will include design and development of data collection and analysis software, contributing to instrument control, debugging embedded software, and provide relevant testing. Requirements: Master s degree in computer science, engineering, physics or other related discipline. Demonstrable industry project experience in software engineering including the successful delivery of hardware-related instrumentation products to market. Wide range of technical competence in programming including C#, MVVM, and C++. This should include application software for both Windows and Linux. Additonal experience with Python, and TypeScript would be advantageous. Any experience with image processing, Java or machine learning would be desirable. This role is based fully onsite at their offices in Royston including parking and are within walking distance of the local train station. Please note, no company sponsorship is available for those looking for work visas. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27665 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
28/07/2026
Full time
Work in a small software team on scientific instrumentation software projects Royston, Hertfordshire; to £65,000 DoE This established scientific instrument company provides applied biotechnologies used for protein characterisation, antibody discovery and cell line development. Their instruments are based on proprietary innovations around microfluidic systems and transformative in-solution technologies. They currently have a small software team and are looking for a senior / mid-level software engineer to join them. Responsibilities will include design and development of data collection and analysis software, contributing to instrument control, debugging embedded software, and provide relevant testing. Requirements: Master s degree in computer science, engineering, physics or other related discipline. Demonstrable industry project experience in software engineering including the successful delivery of hardware-related instrumentation products to market. Wide range of technical competence in programming including C#, MVVM, and C++. This should include application software for both Windows and Linux. Additonal experience with Python, and TypeScript would be advantageous. Any experience with image processing, Java or machine learning would be desirable. This role is based fully onsite at their offices in Royston including parking and are within walking distance of the local train station. Please note, no company sponsorship is available for those looking for work visas. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27665 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
Description Our Senior Data Engineers enable public sector organisations to embrace a data driven approach by providing data platforms and services that are high quality, cost efficient, and tailored to clients' needs. They develop, operate, and maintain these services. They make sure they provide maximum value to data consumers, including analysts, scientists, and business stakeholders. Your role at Made Tech As a Senior Data Engineer, you may play one or more roles according to our clients' needs. The role is very hands on and you'll support as a senior contributor for a project, focusing on both delivering engineering work as well as upskilling members of the client team. At other points, you might play more of a technical architect role and work with the larger MadeTech team to identify growth opportunities within the account. You'll need to have a drive to deliver outcomes for users. You'll make sure that the wider context of a delivery is considered and maintain alignment between the operational and analytical aspects of the engineering solution. Skills, Knowledge & Expertise We are looking for candidates with a range of skills and experience, please apply even if you don't meet all the criteria. Enthusiasm for learning and self development Proficiency in Git (inc. Github Actions) and able to explain the benefits of different branch strategies Gathering and meeting the requirements of both clients and users on a data project Strong experience in IaC and able to guide how one could deploy infrastructure into different environments Owning the cloud infrastructure underpinning data systems through a DevOps approach Knowledge of handling and transforming various data types (JSON, CSV, etc.) with Apache Spark, Databricks or Hadoop Good understanding of the possible architectures involved in modern data system design (e.g. Data Warehouse, Data Lakes and Data Meshes) and the different use cases for them Ability to create data pipelines on a cloud environment and integrate error handling within these pipelines, with an understanding how to create reusable libraries to encourage uniformity of approach across multiple data pipelines Able to document and present an end to end diagram to explain a data processing system on a cloud environment, with some knowledge of how you would present diagrams (C4, UML etc.) To provide guidance how one would implement a robust DevOps approach in a data project. Also would be able to talk about tools needed for DataOps in areas such as orchestration, data integration and data analytics Experience in improving resilience in a project by checking for software vulnerabilities and implement appropriate testing strategies (unit, integration, data quality etc.) Knowledge of SOLID, DRY and TDD principles and how to practically implement these into a project Agile practices such as Scrum, XP, and/or Kanban Designing and implementing efficient data transformation processes at scale, both in batch and streaming use cases Owning the cloud infrastructure underpinning data systems through a DevOps approach Agile practices such as Scrum, XP, and/or Kanban People skills such as mentoring, supportive team player and performing line management duties To be able to demonstrate a commercial mindset when on projects to grow accounts organically with senior stakeholders Desirable experience Experience in the following things isn't essential, but it's highly desirable! Working at a technology consultancy Working with Docker and virtual environments as part of the development and CI/CD process Working with senior stakeholders to gather requirements and keep them engaged Experience in working with a team of engineers using a variety of techniques such as pair programming or mob programming Working with data scientists to productionise advanced data deliverables, such as machine learning models Working knowledge of statistics Working with multidisciplinary digital and technology teams Working within the public sector Job Benefits Support in applying If you need this job description in another format, or other support in applying, please email . We believe we can use tech to make public services better. We also believe this can happen best when our own team represents the society that actually uses the services we work on. We're collectively continuing to grow a culture that is happy, healthy, safe and inspiring for people of all backgrounds and experiences, so we encourage people from underrepresented groups to apply for roles with us. When you apply, we'll put you in touch with a talent partner who can help with any needs or adjustments we may need to make to help with your application. This includes alternative formats for documents, the time allotted for interviews and any other needs. We also welcome any feedback on how we can improve the experience for future candidates. We're committed to building a happy, inclusive and diverse workforce. Here are some of our most popular benefits listed below: 30 days Holiday - we offer 30 days of paid annual leave + bank holidays! Flexible Parental Leave - we offer flexible parental leave options Remote Working - we offer part time remote working for all our staff Paid counselling - we offer paid counselling as well as financial and legal advice An increasing number of our customers are specifying a minimum of SC (security check) clearance in order to work on their projects. As a result, we're looking for all successful candidates for this role to have eligibility. Eligibility for SC requires 5 years' of continuous UK residency. Please note that if at any point during the interview process it is apparent that you may not be eligible for SC, we won't be able to progress your application and we will contact you to let you know why. About Made Tech Made Tech is on a mission to use technology to improve society - for everyone. We help organisations transform, deliver and manage world class digital products and services. Today, you can see our services (and people!) in action, such as the design and build of the Homes for Ukraine service, delivered in 2 weeks. We're helping local authorities make it easier and quicker for people to log housing repairs online. By digitalising access to NHS services we're making it more accessible, such as children needing mental health support. All this great experience is enabling us to support new areas, like energy. We're helping to drive better environmental outcomes by improving network performance through real time asset monitoring, which means less wasted energy. We were recently named as a finalist in the Raising the Bar for Workplace Transparency Award in the Shift People Awards. This is a recognition of our many great initiatives, such as our open access employee handbook that we launched five years ago.
28/07/2026
Full time
Description Our Senior Data Engineers enable public sector organisations to embrace a data driven approach by providing data platforms and services that are high quality, cost efficient, and tailored to clients' needs. They develop, operate, and maintain these services. They make sure they provide maximum value to data consumers, including analysts, scientists, and business stakeholders. Your role at Made Tech As a Senior Data Engineer, you may play one or more roles according to our clients' needs. The role is very hands on and you'll support as a senior contributor for a project, focusing on both delivering engineering work as well as upskilling members of the client team. At other points, you might play more of a technical architect role and work with the larger MadeTech team to identify growth opportunities within the account. You'll need to have a drive to deliver outcomes for users. You'll make sure that the wider context of a delivery is considered and maintain alignment between the operational and analytical aspects of the engineering solution. Skills, Knowledge & Expertise We are looking for candidates with a range of skills and experience, please apply even if you don't meet all the criteria. Enthusiasm for learning and self development Proficiency in Git (inc. Github Actions) and able to explain the benefits of different branch strategies Gathering and meeting the requirements of both clients and users on a data project Strong experience in IaC and able to guide how one could deploy infrastructure into different environments Owning the cloud infrastructure underpinning data systems through a DevOps approach Knowledge of handling and transforming various data types (JSON, CSV, etc.) with Apache Spark, Databricks or Hadoop Good understanding of the possible architectures involved in modern data system design (e.g. Data Warehouse, Data Lakes and Data Meshes) and the different use cases for them Ability to create data pipelines on a cloud environment and integrate error handling within these pipelines, with an understanding how to create reusable libraries to encourage uniformity of approach across multiple data pipelines Able to document and present an end to end diagram to explain a data processing system on a cloud environment, with some knowledge of how you would present diagrams (C4, UML etc.) To provide guidance how one would implement a robust DevOps approach in a data project. Also would be able to talk about tools needed for DataOps in areas such as orchestration, data integration and data analytics Experience in improving resilience in a project by checking for software vulnerabilities and implement appropriate testing strategies (unit, integration, data quality etc.) Knowledge of SOLID, DRY and TDD principles and how to practically implement these into a project Agile practices such as Scrum, XP, and/or Kanban Designing and implementing efficient data transformation processes at scale, both in batch and streaming use cases Owning the cloud infrastructure underpinning data systems through a DevOps approach Agile practices such as Scrum, XP, and/or Kanban People skills such as mentoring, supportive team player and performing line management duties To be able to demonstrate a commercial mindset when on projects to grow accounts organically with senior stakeholders Desirable experience Experience in the following things isn't essential, but it's highly desirable! Working at a technology consultancy Working with Docker and virtual environments as part of the development and CI/CD process Working with senior stakeholders to gather requirements and keep them engaged Experience in working with a team of engineers using a variety of techniques such as pair programming or mob programming Working with data scientists to productionise advanced data deliverables, such as machine learning models Working knowledge of statistics Working with multidisciplinary digital and technology teams Working within the public sector Job Benefits Support in applying If you need this job description in another format, or other support in applying, please email . We believe we can use tech to make public services better. We also believe this can happen best when our own team represents the society that actually uses the services we work on. We're collectively continuing to grow a culture that is happy, healthy, safe and inspiring for people of all backgrounds and experiences, so we encourage people from underrepresented groups to apply for roles with us. When you apply, we'll put you in touch with a talent partner who can help with any needs or adjustments we may need to make to help with your application. This includes alternative formats for documents, the time allotted for interviews and any other needs. We also welcome any feedback on how we can improve the experience for future candidates. We're committed to building a happy, inclusive and diverse workforce. Here are some of our most popular benefits listed below: 30 days Holiday - we offer 30 days of paid annual leave + bank holidays! Flexible Parental Leave - we offer flexible parental leave options Remote Working - we offer part time remote working for all our staff Paid counselling - we offer paid counselling as well as financial and legal advice An increasing number of our customers are specifying a minimum of SC (security check) clearance in order to work on their projects. As a result, we're looking for all successful candidates for this role to have eligibility. Eligibility for SC requires 5 years' of continuous UK residency. Please note that if at any point during the interview process it is apparent that you may not be eligible for SC, we won't be able to progress your application and we will contact you to let you know why. About Made Tech Made Tech is on a mission to use technology to improve society - for everyone. We help organisations transform, deliver and manage world class digital products and services. Today, you can see our services (and people!) in action, such as the design and build of the Homes for Ukraine service, delivered in 2 weeks. We're helping local authorities make it easier and quicker for people to log housing repairs online. By digitalising access to NHS services we're making it more accessible, such as children needing mental health support. All this great experience is enabling us to support new areas, like energy. We're helping to drive better environmental outcomes by improving network performance through real time asset monitoring, which means less wasted energy. We were recently named as a finalist in the Raising the Bar for Workplace Transparency Award in the Shift People Awards. This is a recognition of our many great initiatives, such as our open access employee handbook that we launched five years ago.
Join us to shape the future of AI-driven business operations. You will have the opportunity to create scalable, safe, and reliable agentic solutions that transform how we work. We value your expertise in building multi-agent systems and your passion for collaborating across teams. At our company, you can grow your career, expand your skills, and make a meaningful impact. Be part of a team that thrives on innovation and continuous improvement. As an AI Engineer in our Agentic AI Solutions team, you will design, build, and deploy autonomous and assistive AI agents that streamline complex workflows. You will collaborate with cross-functional partners to translate operational needs into robust multi-agent systems, leveraging advanced frameworks and technologies. Your work will directly impact our business by delivering scalable and reliable AI solutions. We foster a culture of innovation, learning, and teamwork, where your contributions are valued and your growth is supported. Job Responsibilities Architect, develop, and productionize autonomous and assistive AI agents to enhance operations. Design multi-agent systems, including role definition, tool integration, planning, memory, and workflow orchestration using modern agent frameworks. Implement Retrieval-Augmented Generation (RAG) pipelines and semantic search with vector databases, including indexing, retrieval policies, and evaluation. Build and integrate agent tools and APIs to connect agents with external services, databases, and internal systems, ensuring robust output parsing and error handling. Practice advanced prompt engineering and implement output validation and guardrails to reduce hallucinations. Design microservices-based architectures and orchestrate multi-step workflows; instrument agents for tracing, metrics, and feedback loops. Partner with stakeholders to define requirements, design intuitive human-AI interfaces, and deliver measurable business impact. Analyze data to inform agent capabilities, optimize retrieval, and drive data-driven decision-making; conduct A/B tests and performance evaluations. Mentor and guide team members on agent frameworks, LLM usage, safety, and best practices. Required Qualifications, Capabilities, and Skills Advanced degree in Computer Science, Data Science, Machine Learning, or related field. Experience building and deploying agentic AI applications in production environments. Expertise with ML frameworks such as PyTorch, TensorFlow, and scikit-learn. Proficiency in Python; experience writing comprehensive tests and building evaluation harnesses for agents and prompts. Hands on experience with agent frameworks such as LangChain, CrewAI, AutoGen, LangGraph. Knowledge of generative models including transformers, GANs, VAEs, and diffusion models. Understanding of data preprocessing, feature engineering, and model/agent evaluation techniques. Familiarity with cloud platforms and containerization technologies. Strong problem solving skills and ability to work independently and collaboratively. Effective communication skills for technical and non technical audiences. Preferred Qualifications, Capabilities, and Skills Experience in financial services, especially investment banking operations. Experience fine tuning small language models with approaches like LoRA, QLoRA, DoRA; quantization and distillation. Familiarity with prompt optimization frameworks and building prompt pipelines and evaluation suites. Experience with distributed computing, data sharding, and performance optimization. Hands on experience with AWS services related to AI deployment and workflow orchestration. Why Join Us? We offer a competitive salary and benefits package, opportunities for professional growth, and a collaborative, innovative environment focused on responsible AI. You will work on impactful projects that shape the future of finance and have the chance to make a real difference. Equal Opportunity Employer We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
28/07/2026
Full time
Join us to shape the future of AI-driven business operations. You will have the opportunity to create scalable, safe, and reliable agentic solutions that transform how we work. We value your expertise in building multi-agent systems and your passion for collaborating across teams. At our company, you can grow your career, expand your skills, and make a meaningful impact. Be part of a team that thrives on innovation and continuous improvement. As an AI Engineer in our Agentic AI Solutions team, you will design, build, and deploy autonomous and assistive AI agents that streamline complex workflows. You will collaborate with cross-functional partners to translate operational needs into robust multi-agent systems, leveraging advanced frameworks and technologies. Your work will directly impact our business by delivering scalable and reliable AI solutions. We foster a culture of innovation, learning, and teamwork, where your contributions are valued and your growth is supported. Job Responsibilities Architect, develop, and productionize autonomous and assistive AI agents to enhance operations. Design multi-agent systems, including role definition, tool integration, planning, memory, and workflow orchestration using modern agent frameworks. Implement Retrieval-Augmented Generation (RAG) pipelines and semantic search with vector databases, including indexing, retrieval policies, and evaluation. Build and integrate agent tools and APIs to connect agents with external services, databases, and internal systems, ensuring robust output parsing and error handling. Practice advanced prompt engineering and implement output validation and guardrails to reduce hallucinations. Design microservices-based architectures and orchestrate multi-step workflows; instrument agents for tracing, metrics, and feedback loops. Partner with stakeholders to define requirements, design intuitive human-AI interfaces, and deliver measurable business impact. Analyze data to inform agent capabilities, optimize retrieval, and drive data-driven decision-making; conduct A/B tests and performance evaluations. Mentor and guide team members on agent frameworks, LLM usage, safety, and best practices. Required Qualifications, Capabilities, and Skills Advanced degree in Computer Science, Data Science, Machine Learning, or related field. Experience building and deploying agentic AI applications in production environments. Expertise with ML frameworks such as PyTorch, TensorFlow, and scikit-learn. Proficiency in Python; experience writing comprehensive tests and building evaluation harnesses for agents and prompts. Hands on experience with agent frameworks such as LangChain, CrewAI, AutoGen, LangGraph. Knowledge of generative models including transformers, GANs, VAEs, and diffusion models. Understanding of data preprocessing, feature engineering, and model/agent evaluation techniques. Familiarity with cloud platforms and containerization technologies. Strong problem solving skills and ability to work independently and collaboratively. Effective communication skills for technical and non technical audiences. Preferred Qualifications, Capabilities, and Skills Experience in financial services, especially investment banking operations. Experience fine tuning small language models with approaches like LoRA, QLoRA, DoRA; quantization and distillation. Familiarity with prompt optimization frameworks and building prompt pipelines and evaluation suites. Experience with distributed computing, data sharding, and performance optimization. Hands on experience with AWS services related to AI deployment and workflow orchestration. Why Join Us? We offer a competitive salary and benefits package, opportunities for professional growth, and a collaborative, innovative environment focused on responsible AI. You will work on impactful projects that shape the future of finance and have the chance to make a real difference. Equal Opportunity Employer We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
Senior Software Development Engineer - Data Engineering About this role It's an exciting time at Capital One UK. We're on a mission to continue to build and modernise the cloud based data ecosystem to unlock the power of data, increase financial inclusion and deliver transformative experiences to our customers. The Win with Data team owns the services that form our Data Ecosystem, creating and maintaining API's, backed by Java and Python microservices to manage and unleash the value of data across the full data lifecycle. From capturing data in real time, making sure it is accurate & easy to use, to enabling analysis for deep insight backed by the power of Cloud based data stores & scalable machine learning, the Capital One Win with Data team is leading the way. We are seeking a Software Development Engineer to join us on our mission, where you'll use a number of different languages (such as Java, Python, React/Typescript), to build both front and backend solutions, solving complex problems as we continue to build our next generation data ecosystem, to help our customers. What you'll do You'll work as part of a self organised Data engineering team to design and develop software features that are impactful for the lives of credit card consumers across all walks of life Your focus will be on a major portion of existing or new team software (e.g. significant component, set of features, mid size application or service). You'll work to achieve the goals and vision shared by Product Management and your Outcome Team Leadership. You will drive engineering best practices (e.g. Operational Excellence, Security, Quality, etc.) and set standards across your team and wider engineering teams. You will innovate within your team, initiative area and contribute within your technical domain. What we're looking for Experience performing as a Technical lead within a team, working with stakeholders to deliver great outcomes at pace, whilst influencing across wider Engineering teams, to encourage best practice and coaching of more junior engineers. Strong programming skills with a good working knowledge of modern OO languages/technologies such as Java, Python, React/Typescript. Demonstrable knowledge of creating architectural designs that meet the business need. You're able to effectively communicate and work together across engineering to maximise inner sourcing opportunities and reduce waste. You'll have demonstrated experience delivering high quality applications at scale. Experience of writing multiple test types and can support the team leveraging approaches such as Pair Programming, TDD and BDD. You have experience of leading and delivering complex projects with precision Experience in any of the following would be great however we aim to help you develop in these areas too: Working with the cloud/AWS and the opportunities that it brings. Being comfortable working in a complex regulated environment.
28/07/2026
Full time
Senior Software Development Engineer - Data Engineering About this role It's an exciting time at Capital One UK. We're on a mission to continue to build and modernise the cloud based data ecosystem to unlock the power of data, increase financial inclusion and deliver transformative experiences to our customers. The Win with Data team owns the services that form our Data Ecosystem, creating and maintaining API's, backed by Java and Python microservices to manage and unleash the value of data across the full data lifecycle. From capturing data in real time, making sure it is accurate & easy to use, to enabling analysis for deep insight backed by the power of Cloud based data stores & scalable machine learning, the Capital One Win with Data team is leading the way. We are seeking a Software Development Engineer to join us on our mission, where you'll use a number of different languages (such as Java, Python, React/Typescript), to build both front and backend solutions, solving complex problems as we continue to build our next generation data ecosystem, to help our customers. What you'll do You'll work as part of a self organised Data engineering team to design and develop software features that are impactful for the lives of credit card consumers across all walks of life Your focus will be on a major portion of existing or new team software (e.g. significant component, set of features, mid size application or service). You'll work to achieve the goals and vision shared by Product Management and your Outcome Team Leadership. You will drive engineering best practices (e.g. Operational Excellence, Security, Quality, etc.) and set standards across your team and wider engineering teams. You will innovate within your team, initiative area and contribute within your technical domain. What we're looking for Experience performing as a Technical lead within a team, working with stakeholders to deliver great outcomes at pace, whilst influencing across wider Engineering teams, to encourage best practice and coaching of more junior engineers. Strong programming skills with a good working knowledge of modern OO languages/technologies such as Java, Python, React/Typescript. Demonstrable knowledge of creating architectural designs that meet the business need. You're able to effectively communicate and work together across engineering to maximise inner sourcing opportunities and reduce waste. You'll have demonstrated experience delivering high quality applications at scale. Experience of writing multiple test types and can support the team leveraging approaches such as Pair Programming, TDD and BDD. You have experience of leading and delivering complex projects with precision Experience in any of the following would be great however we aim to help you develop in these areas too: Working with the cloud/AWS and the opportunities that it brings. Being comfortable working in a complex regulated environment.
Fractal Analytics UK Limited is looking for a Senior AI / ML Engineer for a 12-month fixed-term contract in West London. This role offers a hybrid work model, requiring onsite presence for 2 days per week. The ideal candidate will design and optimize machine-learning models, maintain data pipelines, and supervise models in production. Candidates should have proficiency in Python and experience with ML frameworks like TensorFlow and PyTorch, along with strong analytical problem-solving skills.
28/07/2026
Full time
Fractal Analytics UK Limited is looking for a Senior AI / ML Engineer for a 12-month fixed-term contract in West London. This role offers a hybrid work model, requiring onsite presence for 2 days per week. The ideal candidate will design and optimize machine-learning models, maintain data pipelines, and supervise models in production. Candidates should have proficiency in Python and experience with ML frameworks like TensorFlow and PyTorch, along with strong analytical problem-solving skills.
Senior Automation Engineer, Laboratory Automation & BiobankingApplylocations: Oxford - England: Clinical Developmenttime type: Full timeposted on: Posted Todayjob requisition id: R19333 The Role: Joining Moderna means advancing mRNA science to transform medicine. Work with exceptional global teams on a broad pipeline and build a career that makes a real difference for patients.At Harwell, you will help shape the future of laboratory automation within Moderna's Clinical Biomarker Laboratory, driving the development of highly integrated, scalable, and digitally connected laboratory systems. Working at the intersection of automation engineering, biomarker science, data architecture, and emerging AI capabilities, you will enable high-throughput clinical biomarker operations that directly support Moderna's clinical development portfolio.This is a highly technical individual contributor opportunity for an automation expert who thrives on solving complex laboratory challenges, integrating advanced technologies, and building next-generation automated workflows. You will serve as a key technical leader, partnering across laboratory, digital, quality, operations, and external vendor teams to deliver innovative solutions that enhance scientific productivity, data quality, and operational excellence. Here's What You'll Do: Serve as a technical leader for laboratory automation within the Clinical Biomarker Laboratory, supporting and expanding automation capabilities across biomarker testing and sample management operations. Design, develop, implement, and optimize automated workflows for biomarker assays utilizing advanced liquid handling platforms, including Hamilton technologies and Hamilton VENUS software. Lead the deployment of integrated automation solutions, including dynamic scheduling platforms that enable efficient coordination of laboratory processes. Translate manual laboratory workflows into scalable, high-throughput, automated systems that improve efficiency, consistency, and operational performance. Act as the subject matter expert for complex automation troubleshooting, root cause analysis, and technical issue resolution across automation platforms. Develop and implement solutions that enable seamless data integration between laboratory instruments, automation systems, LIMS platforms, and enterprise applications. Design, build, and maintain robust data structures, data pipelines, and workflow architectures supporting laboratory automation and biomarker assay operations. Develop and support system integrations using REST APIs, web services, middleware technologies, and modern connected laboratory architectures. Contribute to the development and implementation of AI-enabled and machine learning-driven laboratory workflows, automation enhancements, and decision-support capabilities. Partner closely with Digital teams to create connected laboratory ecosystems that leverage data, automation, and emerging technologies to accelerate scientific outcomes. Provide technical leadership and operational support for automated biobanking platforms, including systems such as Hamilton BiOS. Ensure operational readiness, reliability, maintenance, and performance optimization of automated sample storage and biobanking systems. Support commissioning, qualification, validation, and lifecycle management activities for automation and sample management platforms. Drive improvements in sample tracking, inventory control, storage efficiency, and end-to-end sample management processes. Serve as system owner for critical laboratory automation platforms, ensuring reliability, compliance, and continuous improvement. Evaluate, identify, and implement new automation technologies, software solutions, and digital capabilities that support future laboratory needs. Lead investigations into automation deviations, system issues, and performance gaps, implementing corrective and preventive actions where required. Maintain accurate documentation, technical records, and system configurations in accordance with SOPs, regulatory requirements, and quality standards. Ensure automation systems operate in compliance with applicable GLP and GCLP requirements and support validated laboratory operations. Collaborate extensively with Automation, Immunoassay, Operations, Digital, QA/Validation, and external partner organizations to deliver integrated solutions aligned with clinical development priorities. Interface with vendors and technology partners to support system implementation, optimization, upgrades, and long-term platform strategy. Mentor junior engineers and provide technical guidance to colleagues across automation initiatives. Deliver training and knowledge transfer to laboratory personnel on automation platforms, workflows, and best practices. The key Moderna Mindsets you'll need to succeed in the role: We digitize everywhere possible using the power of code to maximize our impact on patients. We obsess over learning. We don't have to be the smartest we have to learn the fastest. Here's What You'll Need (Basic Qualifications) Bachelor's or Master's degree in Engineering, Computer Science, Biotechnology, Robotics, or related field 5+ years of experience in laboratory automation or robotics Experience with liquid handling systems and automation platforms Experience integrating systems using APIs (REST or similar), databases, or middleware technologies Based on-site at Harwell, UK Ability to work in a laboratory environment Ability to lift equipment/materials with assistance ( 25 kg) Occasional flexibility in working hours Here's What You'll Bring to the Table (Preferred Qualifications) Programming experience in Python, Java, C++, or similar Experience with data structures, database design, and LIMS integration Exposure to AI/ML applications in laboratory or automation workflows Experience with Hamilton platforms (VENUS, BiOS) Experience with automation scheduling software (Momentum, Cellario, etc.) Familiarity with web services (REST/SOAP) and distributed systems Experience in regulated environments (GCP, GLP, ISO standards) Knowledge of version control (Git) and Agile methodologies Strong troubleshooting and communication skills Pay & Benefits At Moderna, we believe that when you feel your best, you can do your best work. That's why our global benefits and well-being resources are designed to support you-at work, at home, and everywhere in between. Best-in-class healthcare, plus voluntary benefit programs to support your unique needs A holistic approach to well-being with access to fitness, mindfulness, and mental health support Family building benefits, including fertility, adoption, and surrogacy support Generous paid time off, including vacation, bank holidays, volunteer days, sabbatical, global recharge days, and a discretionary year-end shutdown Savings and investments to help you plan for the future Location-specific perks and extrasThe benefits offered may vary depending on the nature of your employment with Moderna and the country where you work. About Moderna Since our founding in 2010, we have aspired to build the leading mRNA technology platform, the infrastructure to reimagine how medicines are created and delivered, and a world-class team. We believe in giving our people a platform to change medicine and an opportunity to change the world.By living our mission, values, and mindsets every day, our people are the driving force behind our scientific progress and our culture. Together, we are creating a culture of belonging and building an organization that cares deeply for our patients, our employees, the environment, and our communities.We are proud to have been recognized as a Science Magazine Top Biopharma Employer, a Fast Company Best Workplace for Innovators, and a Great Place to Work in the U.S.As we build our company, we have always believed an in-person culture is critical to our success. Moderna champions the significant benefits of in-office collaboration by embracing a 70/30 work model. This 70% in-office structure helps to foster a culture rich in innovation, teamwork, and direct mentorship. Join us in shaping a world where every interaction is an opportunity to learn, contribute, and make a meaningful impact.If you want to make a difference and join a team that is changing the future of medicine, we invite you to visit to learn more about our current opportunities.Moderna is a smoke-free, alcohol-free, and drug-free work environment.Moderna is a place where everyone can grow. If you meet the Basic Qualifications for the role and you would be excited to contribute to our mission every day, please apply!Moderna is committed to equal opportunity in employment and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry or citizenship, ethnicity, disability, military or protected veteran status, genetic information, sexual orientation, marital or familial status, or any other personal characteristic protected under applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements.We're focused on attracting, retaining, developing, and advancing our employees. By cultivating a workplace that values diverse experiences, backgrounds, and ideas, we create an environment where every employee can contribute their best.Moderna is committed to offering reasonable accommodation or adjustments to qualified job applicants with disabilities. Any applicant requiring an accommodation or adjustment in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should contact the Accommodations and Adjustments team at .
28/07/2026
Full time
Senior Automation Engineer, Laboratory Automation & BiobankingApplylocations: Oxford - England: Clinical Developmenttime type: Full timeposted on: Posted Todayjob requisition id: R19333 The Role: Joining Moderna means advancing mRNA science to transform medicine. Work with exceptional global teams on a broad pipeline and build a career that makes a real difference for patients.At Harwell, you will help shape the future of laboratory automation within Moderna's Clinical Biomarker Laboratory, driving the development of highly integrated, scalable, and digitally connected laboratory systems. Working at the intersection of automation engineering, biomarker science, data architecture, and emerging AI capabilities, you will enable high-throughput clinical biomarker operations that directly support Moderna's clinical development portfolio.This is a highly technical individual contributor opportunity for an automation expert who thrives on solving complex laboratory challenges, integrating advanced technologies, and building next-generation automated workflows. You will serve as a key technical leader, partnering across laboratory, digital, quality, operations, and external vendor teams to deliver innovative solutions that enhance scientific productivity, data quality, and operational excellence. Here's What You'll Do: Serve as a technical leader for laboratory automation within the Clinical Biomarker Laboratory, supporting and expanding automation capabilities across biomarker testing and sample management operations. Design, develop, implement, and optimize automated workflows for biomarker assays utilizing advanced liquid handling platforms, including Hamilton technologies and Hamilton VENUS software. Lead the deployment of integrated automation solutions, including dynamic scheduling platforms that enable efficient coordination of laboratory processes. Translate manual laboratory workflows into scalable, high-throughput, automated systems that improve efficiency, consistency, and operational performance. Act as the subject matter expert for complex automation troubleshooting, root cause analysis, and technical issue resolution across automation platforms. Develop and implement solutions that enable seamless data integration between laboratory instruments, automation systems, LIMS platforms, and enterprise applications. Design, build, and maintain robust data structures, data pipelines, and workflow architectures supporting laboratory automation and biomarker assay operations. Develop and support system integrations using REST APIs, web services, middleware technologies, and modern connected laboratory architectures. Contribute to the development and implementation of AI-enabled and machine learning-driven laboratory workflows, automation enhancements, and decision-support capabilities. Partner closely with Digital teams to create connected laboratory ecosystems that leverage data, automation, and emerging technologies to accelerate scientific outcomes. Provide technical leadership and operational support for automated biobanking platforms, including systems such as Hamilton BiOS. Ensure operational readiness, reliability, maintenance, and performance optimization of automated sample storage and biobanking systems. Support commissioning, qualification, validation, and lifecycle management activities for automation and sample management platforms. Drive improvements in sample tracking, inventory control, storage efficiency, and end-to-end sample management processes. Serve as system owner for critical laboratory automation platforms, ensuring reliability, compliance, and continuous improvement. Evaluate, identify, and implement new automation technologies, software solutions, and digital capabilities that support future laboratory needs. Lead investigations into automation deviations, system issues, and performance gaps, implementing corrective and preventive actions where required. Maintain accurate documentation, technical records, and system configurations in accordance with SOPs, regulatory requirements, and quality standards. Ensure automation systems operate in compliance with applicable GLP and GCLP requirements and support validated laboratory operations. Collaborate extensively with Automation, Immunoassay, Operations, Digital, QA/Validation, and external partner organizations to deliver integrated solutions aligned with clinical development priorities. Interface with vendors and technology partners to support system implementation, optimization, upgrades, and long-term platform strategy. Mentor junior engineers and provide technical guidance to colleagues across automation initiatives. Deliver training and knowledge transfer to laboratory personnel on automation platforms, workflows, and best practices. The key Moderna Mindsets you'll need to succeed in the role: We digitize everywhere possible using the power of code to maximize our impact on patients. We obsess over learning. We don't have to be the smartest we have to learn the fastest. Here's What You'll Need (Basic Qualifications) Bachelor's or Master's degree in Engineering, Computer Science, Biotechnology, Robotics, or related field 5+ years of experience in laboratory automation or robotics Experience with liquid handling systems and automation platforms Experience integrating systems using APIs (REST or similar), databases, or middleware technologies Based on-site at Harwell, UK Ability to work in a laboratory environment Ability to lift equipment/materials with assistance ( 25 kg) Occasional flexibility in working hours Here's What You'll Bring to the Table (Preferred Qualifications) Programming experience in Python, Java, C++, or similar Experience with data structures, database design, and LIMS integration Exposure to AI/ML applications in laboratory or automation workflows Experience with Hamilton platforms (VENUS, BiOS) Experience with automation scheduling software (Momentum, Cellario, etc.) Familiarity with web services (REST/SOAP) and distributed systems Experience in regulated environments (GCP, GLP, ISO standards) Knowledge of version control (Git) and Agile methodologies Strong troubleshooting and communication skills Pay & Benefits At Moderna, we believe that when you feel your best, you can do your best work. That's why our global benefits and well-being resources are designed to support you-at work, at home, and everywhere in between. Best-in-class healthcare, plus voluntary benefit programs to support your unique needs A holistic approach to well-being with access to fitness, mindfulness, and mental health support Family building benefits, including fertility, adoption, and surrogacy support Generous paid time off, including vacation, bank holidays, volunteer days, sabbatical, global recharge days, and a discretionary year-end shutdown Savings and investments to help you plan for the future Location-specific perks and extrasThe benefits offered may vary depending on the nature of your employment with Moderna and the country where you work. About Moderna Since our founding in 2010, we have aspired to build the leading mRNA technology platform, the infrastructure to reimagine how medicines are created and delivered, and a world-class team. We believe in giving our people a platform to change medicine and an opportunity to change the world.By living our mission, values, and mindsets every day, our people are the driving force behind our scientific progress and our culture. Together, we are creating a culture of belonging and building an organization that cares deeply for our patients, our employees, the environment, and our communities.We are proud to have been recognized as a Science Magazine Top Biopharma Employer, a Fast Company Best Workplace for Innovators, and a Great Place to Work in the U.S.As we build our company, we have always believed an in-person culture is critical to our success. Moderna champions the significant benefits of in-office collaboration by embracing a 70/30 work model. This 70% in-office structure helps to foster a culture rich in innovation, teamwork, and direct mentorship. Join us in shaping a world where every interaction is an opportunity to learn, contribute, and make a meaningful impact.If you want to make a difference and join a team that is changing the future of medicine, we invite you to visit to learn more about our current opportunities.Moderna is a smoke-free, alcohol-free, and drug-free work environment.Moderna is a place where everyone can grow. If you meet the Basic Qualifications for the role and you would be excited to contribute to our mission every day, please apply!Moderna is committed to equal opportunity in employment and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry or citizenship, ethnicity, disability, military or protected veteran status, genetic information, sexual orientation, marital or familial status, or any other personal characteristic protected under applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements.We're focused on attracting, retaining, developing, and advancing our employees. By cultivating a workplace that values diverse experiences, backgrounds, and ideas, we create an environment where every employee can contribute their best.Moderna is committed to offering reasonable accommodation or adjustments to qualified job applicants with disabilities. Any applicant requiring an accommodation or adjustment in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should contact the Accommodations and Adjustments team at .
Description Senior Cyber Security Engineer Location - Huntingdon UK Clearance Level - High - DV Developed Vetting UNLEASH YOUR POTENTIAL At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainably. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business. Are your ready for your next challenge? We are seeking a Senior Cyber Security Engineer with a strong technical background to primarily support our customer site in Huntingdon, with occasional travel to London and other UK locations as required. Reporting to the Cyber Security Engineering Lead, you will provide senior technical expertise within the Security Engineering team, supporting the delivery of security services, mentoring engineers, and helping maintain a strong cyber security posture across customer environments. You will be responsible for ensuring security technologies and controls are effectively managed, maintained, and enhanced whilst supporting the secure implementation of new capabilities. The role includes coordinating Security Engineering support activities, overseeing service desk workloads, and providing line management to the Change Security Engineers. You will help ensure the programme maintains an effective and adaptable in-service security capability, aligning technical solutions with evolving customer requirements, legislation, security policies, and accreditation standards. This position will perform the following tasks: Work under the direct supervision of the Security Engineering Lead too: Implement, maintain, and enhance security tooling and technical controls. Provide technical guidance and mentoring to Security Engineers. Ensure systems maintain compliance with security baselines, policies, and standards. Develop and maintain security baselines, standards, and documentation. Coordinate Security Engineering service desk activities, prioritising and overseeing ticket resolution to ensure timely and effective support Support Security Monitoring requirements, including logging and SIEM integration. Work with customers and stakeholders to develop security policies, processes, and technical solutions. Assess vulnerabilities, support risk mitigation, and validate remediation activities. Deliver security assessments and provide security engineering support to projects and changes. Act as Line Manager for the Change Security Engineers, providing tasking, performance management, development, and pastoral support. Support the Security Engineering Lead with planning, prioritization, and delivery of security engineering activities. Candidate Essentials British - Non-dual national - many of our projects have nationality restrictions - DV cleared or eligible to go through MOD DV process Location- Huntingdon, Cambridgeshire (minimum 4 days per week onsite attendance expected; any alternative working arrangements to be agreed with the Cyber Security Engineering Lead). - Occasional travel to London and other UK customer sites may be required. Process Skills/Experience Experience implementing defence-in-depth and layered security architectures within complex environments. Experience designing, implementing, and governing preventative and detective security controls to manage and reduce risk. Strong understanding of systems engineering lifecycle processes, including requirements, change, configuration, and risk management. Experience working across multiple delivery methodologies, including Waterfall, SAFe Agile, and DevSecOps. Experience conducting design trade-off activities with architects, engineers, and stakeholders to deliver secure, integrated solutions. Understanding of service operations, security operations, and the management of security engineering service delivery. Experience coordinating and prioritising security engineering support activities, including service desk ticket management and technical task allocation. Experience providing technical mentoring and guidance to engineering teams. Experience of line management, performance development, and workload management within technical teams. Experience working within both delivery and bid/proposal environments. Experience supporting Defence Digital programmes and applying MOD security policies, standards, and approaches. Technology skills/Experience Excellent understanding of Confidentiality, Integrity and Availability (CIA) and practical experience in applying that. Endpoint Protection products Malware App Control DLP Experience in implementing security requirements for a system: Microsoft OS Linux OS Virtualisation technologies Networking Endpoint Security Products Working knowledge of the accreditation process for secure/sensitive systems Experience in producing/updating Design artefacts Understanding of the implementation, operation and maintenance of SIEM products Understanding of network and boundary protection technologies (firewalls, mail gateways, load balancers, anti-virus) Understanding of authentication and authorisation technologies (SAML, LDAP, PKI, etc) Understanding of security infrastructure in Public and Private cloud, e.g. virtual network infrastructure, hybrid IaaS/PaaS/SaaS solutions Understanding of DevSecOps principles and their application to secure system design, development, testing, and deployment Communication and Soft Skills Excellent verbal and written communication skills, with the ability to communicate complex technical concepts effectively to a wide range of audiences Capable of developing and communicating a vision to meet the System Requirements A good level of commercial awareness that will support the bid and delivery environments Ability to effectively manage and prioritise multiple concurrent tasks, projects, and operational activities within a dynamic delivery environment. Desirable Experience Experience working in both delivery and proposal environments Experience working in MOD or Home Office project environments Working within an AGILE environment Are you ready to make an impact? Begin your journey of a flourishing and meaningful career, share your CV with us today! What we do for you: At Leidos we are PASSIONATE about customer success, UNITED as a team and INSPIRED to make a difference. We offer meaningful and engaging careers, a collaborative culture, and support for your career goals, all while nurturing a healthy work-life balance. We provide an employment package that attracts, develops and retains only the best in talent. Our reward scheme includes: Contributory Pension Scheme Private Medical Insurance 33 days Annual Leave (including public and privilege holidays) Access to Flexible benefits (including life assurance, health schemes, gym memberships, annual buy and sell holidays and a cycle to work scheme) Flexi-TIme Commitment to Diversity: We welcome applications from every part of the community and are committed to a truly diverse and inclusive culture. We foster a sense of belonging, welcoming all perspectives and contributions, and providing equal access to opportunities and resources for everyone. If you have a disability or need any reasonable adjustments during the application and selection stages please let us know, and we will respond in a way that best fits your needs. Who We Are: Leidos UK & EUROPE - we work to make the world safer, healthier, and more efficient through technology, engineering and science. Leidos is a growing company delivering innovative technology and solutions focused on safeguarding critical capabilities and transformation in frontline services, our work in the United Kingdom includes addressing some of the most complex problems in defence, healthcare, government, safety and security, and transportation. What Makes Us Different: Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility to do your job is one of our core benefits, enabling you to become part of our extraordinary team. We have been empowering our people to work flexibly for years. Whether you work from home, the office or on customer sites, we will give you the digital tools and the flexibility to work smarter and align your needs and ours. People: Leidos empowers people from every background to be themselves and gives you the tools to learn new skills by enabling growth whilst developing. We believe that extraordinary people need opportunities to grow, to be inspired and to inspire others. At Leidos, we invest in technical academies, career rotations and a career development plans that enhance your future. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild . click apply for full job details
28/07/2026
Full time
Description Senior Cyber Security Engineer Location - Huntingdon UK Clearance Level - High - DV Developed Vetting UNLEASH YOUR POTENTIAL At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainably. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business. Are your ready for your next challenge? We are seeking a Senior Cyber Security Engineer with a strong technical background to primarily support our customer site in Huntingdon, with occasional travel to London and other UK locations as required. Reporting to the Cyber Security Engineering Lead, you will provide senior technical expertise within the Security Engineering team, supporting the delivery of security services, mentoring engineers, and helping maintain a strong cyber security posture across customer environments. You will be responsible for ensuring security technologies and controls are effectively managed, maintained, and enhanced whilst supporting the secure implementation of new capabilities. The role includes coordinating Security Engineering support activities, overseeing service desk workloads, and providing line management to the Change Security Engineers. You will help ensure the programme maintains an effective and adaptable in-service security capability, aligning technical solutions with evolving customer requirements, legislation, security policies, and accreditation standards. This position will perform the following tasks: Work under the direct supervision of the Security Engineering Lead too: Implement, maintain, and enhance security tooling and technical controls. Provide technical guidance and mentoring to Security Engineers. Ensure systems maintain compliance with security baselines, policies, and standards. Develop and maintain security baselines, standards, and documentation. Coordinate Security Engineering service desk activities, prioritising and overseeing ticket resolution to ensure timely and effective support Support Security Monitoring requirements, including logging and SIEM integration. Work with customers and stakeholders to develop security policies, processes, and technical solutions. Assess vulnerabilities, support risk mitigation, and validate remediation activities. Deliver security assessments and provide security engineering support to projects and changes. Act as Line Manager for the Change Security Engineers, providing tasking, performance management, development, and pastoral support. Support the Security Engineering Lead with planning, prioritization, and delivery of security engineering activities. Candidate Essentials British - Non-dual national - many of our projects have nationality restrictions - DV cleared or eligible to go through MOD DV process Location- Huntingdon, Cambridgeshire (minimum 4 days per week onsite attendance expected; any alternative working arrangements to be agreed with the Cyber Security Engineering Lead). - Occasional travel to London and other UK customer sites may be required. Process Skills/Experience Experience implementing defence-in-depth and layered security architectures within complex environments. Experience designing, implementing, and governing preventative and detective security controls to manage and reduce risk. Strong understanding of systems engineering lifecycle processes, including requirements, change, configuration, and risk management. Experience working across multiple delivery methodologies, including Waterfall, SAFe Agile, and DevSecOps. Experience conducting design trade-off activities with architects, engineers, and stakeholders to deliver secure, integrated solutions. Understanding of service operations, security operations, and the management of security engineering service delivery. Experience coordinating and prioritising security engineering support activities, including service desk ticket management and technical task allocation. Experience providing technical mentoring and guidance to engineering teams. Experience of line management, performance development, and workload management within technical teams. Experience working within both delivery and bid/proposal environments. Experience supporting Defence Digital programmes and applying MOD security policies, standards, and approaches. Technology skills/Experience Excellent understanding of Confidentiality, Integrity and Availability (CIA) and practical experience in applying that. Endpoint Protection products Malware App Control DLP Experience in implementing security requirements for a system: Microsoft OS Linux OS Virtualisation technologies Networking Endpoint Security Products Working knowledge of the accreditation process for secure/sensitive systems Experience in producing/updating Design artefacts Understanding of the implementation, operation and maintenance of SIEM products Understanding of network and boundary protection technologies (firewalls, mail gateways, load balancers, anti-virus) Understanding of authentication and authorisation technologies (SAML, LDAP, PKI, etc) Understanding of security infrastructure in Public and Private cloud, e.g. virtual network infrastructure, hybrid IaaS/PaaS/SaaS solutions Understanding of DevSecOps principles and their application to secure system design, development, testing, and deployment Communication and Soft Skills Excellent verbal and written communication skills, with the ability to communicate complex technical concepts effectively to a wide range of audiences Capable of developing and communicating a vision to meet the System Requirements A good level of commercial awareness that will support the bid and delivery environments Ability to effectively manage and prioritise multiple concurrent tasks, projects, and operational activities within a dynamic delivery environment. Desirable Experience Experience working in both delivery and proposal environments Experience working in MOD or Home Office project environments Working within an AGILE environment Are you ready to make an impact? Begin your journey of a flourishing and meaningful career, share your CV with us today! What we do for you: At Leidos we are PASSIONATE about customer success, UNITED as a team and INSPIRED to make a difference. We offer meaningful and engaging careers, a collaborative culture, and support for your career goals, all while nurturing a healthy work-life balance. We provide an employment package that attracts, develops and retains only the best in talent. Our reward scheme includes: Contributory Pension Scheme Private Medical Insurance 33 days Annual Leave (including public and privilege holidays) Access to Flexible benefits (including life assurance, health schemes, gym memberships, annual buy and sell holidays and a cycle to work scheme) Flexi-TIme Commitment to Diversity: We welcome applications from every part of the community and are committed to a truly diverse and inclusive culture. We foster a sense of belonging, welcoming all perspectives and contributions, and providing equal access to opportunities and resources for everyone. If you have a disability or need any reasonable adjustments during the application and selection stages please let us know, and we will respond in a way that best fits your needs. Who We Are: Leidos UK & EUROPE - we work to make the world safer, healthier, and more efficient through technology, engineering and science. Leidos is a growing company delivering innovative technology and solutions focused on safeguarding critical capabilities and transformation in frontline services, our work in the United Kingdom includes addressing some of the most complex problems in defence, healthcare, government, safety and security, and transportation. What Makes Us Different: Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility to do your job is one of our core benefits, enabling you to become part of our extraordinary team. We have been empowering our people to work flexibly for years. Whether you work from home, the office or on customer sites, we will give you the digital tools and the flexibility to work smarter and align your needs and ours. People: Leidos empowers people from every background to be themselves and gives you the tools to learn new skills by enabling growth whilst developing. We believe that extraordinary people need opportunities to grow, to be inspired and to inspire others. At Leidos, we invest in technical academies, career rotations and a career development plans that enhance your future. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild . click apply for full job details
Overview Join us in our mission to make money work for everyone. We're transforming traditional banking into something simple and accessible. Starting as a prepaid card, our product suite has expanded significantly in the UK over the last decade. We offer personal and business accounts, joint accounts, accounts for 16-17 year olds, a free kids account, and credit cards, along with exciting developments on the horizon. Our UK customers can also save, invest, and manage their pensions with us. With our distinctive hot coral cards, get-paid-early feature, financial education on social media, and award-winning customer service, we create magical moments for our customers! At Monzo, we prioritize solving problems over selling products. Location: London/Cardiff/UK Remote Salary: £86,000-105,000 + Benefits About Us We are dedicated to improving the lives of our 15+ million customers through user-friendly products and actionable insights that empower them to control their finances. Our credit products are vital to our mission and enable us to provide exceptional customer experiences while driving revenue. With strong growth and high engagement among our borrowers, we are enhancing our portfolios, including personal and business credit products across various markets. Role Senior Machine Learning Scientist in Borrowing, focusing on enhancing customer and business outcomes through automated decision-making using Machine Learning and statistical modeling. Primary concentration on credit risk modeling, also encompassing utilization, pricing, collections, and marketing optimization. Collaborate with a team of ML Scientists to manage the lifecycle of ML models from experiment design to deployment and monitoring. You will have the freedom to innovate with data, methodologies, and tools to streamline model development. You will work across all Borrowing products and influence product and credit strategy. Responsibilities Collaborate with Credit Strategy Managers, Model Validation Analysts, Backend Engineers, and Product Managers to integrate model development into the product roadmap. Own several ML applications from experiment design to deployment and monitoring. Decide on impactful topics across Borrowing products and deliver solutions. Technology Stack Google Cloud Platform for analytics; BigQuery, SQL and dbt for data modeling; PyData stack for model development; Google Vertex AI; AWS; Python for ML microservices; Go; AI tools; Google Suite; ChatGPT enterprise; Claude. You Should Apply If You are result-oriented, motivated by the impact on customers and the business. You thrive in a fast-paced environment with significant autonomy. You're eager to expand your knowledge in both business and technology. Must Have Exceptional SQL and Python skills with a strong foundation in software and data engineering best practices. Deep knowledge of statistical and machine learning models-gradient boosted trees, logistic regression, neural networks, survival analysis, etc. Comprehensive understanding of statistics: hypothesis testing, confidence intervals, bootstrap. Experience with end-to-end model development and maintenance for business-critical automated decision-making in a consumer-facing industry. Strong attention to detail while maintaining an understanding of the larger picture. Excellent communication skills to articulate complex problems. Ability to build mutual respect and trust among diverse teams. Nice to Have Experience in UK/EU retail lending for personal/business customers. Knowledge of ML model governance in a regulated industry. Experience using modern AI tools to enhance productivity. The Interview Process Our interview process includes: 30-minute Recruiter Call 45-minute Initial Call 60-minute ML Technical Skill Interview 60-minute Behavioral Interview All interviews are conducted via Google Meet and typically take 3-4 weeks, accommodating your availability. What's in It for You £86,000 to £105,000 plus stock options and benefits. We can assist with relocation to the UK and provide visa sponsorship. This role can be office-based in London with a hybrid working pattern or fully remote within the UK, with occasional travel to London. We support your home office setup, providing Macbooks and additional resources for remote workers. Enjoy flexible working hours tailored to suit you and your team's needs. A learning budget of £1,000 annually for books, training courses, and conferences. And much more, inquire about our full benefits package. Equal Opportunities Equal Opportunities for Everyone: We prioritize diversity and inclusion, striving for an environment where everyone can excel. We welcome applicants from all backgrounds and encourage individuals with varying identities to apply. If you prefer a specific name, please include it in your application; full or birth names aren't necessary at this stage. Company Monzo Qualifications Language requirements Specific requirements Educational level Level of experience (years) Senior (5+ years of experience) Tagged as: Industry, Machine Learning, Neural Networks, NLP, United Kingdom
28/07/2026
Full time
Overview Join us in our mission to make money work for everyone. We're transforming traditional banking into something simple and accessible. Starting as a prepaid card, our product suite has expanded significantly in the UK over the last decade. We offer personal and business accounts, joint accounts, accounts for 16-17 year olds, a free kids account, and credit cards, along with exciting developments on the horizon. Our UK customers can also save, invest, and manage their pensions with us. With our distinctive hot coral cards, get-paid-early feature, financial education on social media, and award-winning customer service, we create magical moments for our customers! At Monzo, we prioritize solving problems over selling products. Location: London/Cardiff/UK Remote Salary: £86,000-105,000 + Benefits About Us We are dedicated to improving the lives of our 15+ million customers through user-friendly products and actionable insights that empower them to control their finances. Our credit products are vital to our mission and enable us to provide exceptional customer experiences while driving revenue. With strong growth and high engagement among our borrowers, we are enhancing our portfolios, including personal and business credit products across various markets. Role Senior Machine Learning Scientist in Borrowing, focusing on enhancing customer and business outcomes through automated decision-making using Machine Learning and statistical modeling. Primary concentration on credit risk modeling, also encompassing utilization, pricing, collections, and marketing optimization. Collaborate with a team of ML Scientists to manage the lifecycle of ML models from experiment design to deployment and monitoring. You will have the freedom to innovate with data, methodologies, and tools to streamline model development. You will work across all Borrowing products and influence product and credit strategy. Responsibilities Collaborate with Credit Strategy Managers, Model Validation Analysts, Backend Engineers, and Product Managers to integrate model development into the product roadmap. Own several ML applications from experiment design to deployment and monitoring. Decide on impactful topics across Borrowing products and deliver solutions. Technology Stack Google Cloud Platform for analytics; BigQuery, SQL and dbt for data modeling; PyData stack for model development; Google Vertex AI; AWS; Python for ML microservices; Go; AI tools; Google Suite; ChatGPT enterprise; Claude. You Should Apply If You are result-oriented, motivated by the impact on customers and the business. You thrive in a fast-paced environment with significant autonomy. You're eager to expand your knowledge in both business and technology. Must Have Exceptional SQL and Python skills with a strong foundation in software and data engineering best practices. Deep knowledge of statistical and machine learning models-gradient boosted trees, logistic regression, neural networks, survival analysis, etc. Comprehensive understanding of statistics: hypothesis testing, confidence intervals, bootstrap. Experience with end-to-end model development and maintenance for business-critical automated decision-making in a consumer-facing industry. Strong attention to detail while maintaining an understanding of the larger picture. Excellent communication skills to articulate complex problems. Ability to build mutual respect and trust among diverse teams. Nice to Have Experience in UK/EU retail lending for personal/business customers. Knowledge of ML model governance in a regulated industry. Experience using modern AI tools to enhance productivity. The Interview Process Our interview process includes: 30-minute Recruiter Call 45-minute Initial Call 60-minute ML Technical Skill Interview 60-minute Behavioral Interview All interviews are conducted via Google Meet and typically take 3-4 weeks, accommodating your availability. What's in It for You £86,000 to £105,000 plus stock options and benefits. We can assist with relocation to the UK and provide visa sponsorship. This role can be office-based in London with a hybrid working pattern or fully remote within the UK, with occasional travel to London. We support your home office setup, providing Macbooks and additional resources for remote workers. Enjoy flexible working hours tailored to suit you and your team's needs. A learning budget of £1,000 annually for books, training courses, and conferences. And much more, inquire about our full benefits package. Equal Opportunities Equal Opportunities for Everyone: We prioritize diversity and inclusion, striving for an environment where everyone can excel. We welcome applicants from all backgrounds and encourage individuals with varying identities to apply. If you prefer a specific name, please include it in your application; full or birth names aren't necessary at this stage. Company Monzo Qualifications Language requirements Specific requirements Educational level Level of experience (years) Senior (5+ years of experience) Tagged as: Industry, Machine Learning, Neural Networks, NLP, United Kingdom
Overview WELCOME TO SITA We're the team that keeps airports moving, airlines flying smoothly, and borders open. Our tech and communication innovations are the secret behind the success of the world's air travel industry. You'll find us at 95% of international hubs. We partner closely with over 2,500 transportation and government clients, each with their own unique needs and challenges. Our goal is to find fresh solutions and cutting edge tech to make their operations run like clockwork. Want to be a part of something big? Are you ready to love your job? The adventure begins right here, with you, at SITA. About the Role & Team As Principal Architect, AI, Products and Enterprise Solutions, you will be accountable for defining and leading SITA's enterprise architecture direction across AI, data, product, solution, and customer architecture, including leadership of the solution and customer architect teams across the organisation. The role provides enterprise wide technical and people leadership, ensuring that AI, data, product, solution, and customer architectures are applied in a consistent and effective manner to support business value, innovation, and competitive advantage, while coaching, mentoring, and developing senior architects across SITA. In addition to architecture leadership, the role is responsible for ensuring that AI and product solution architectures are embedded within core products, platforms, and decision making processes, and for building a high performing architecture function through effective people leadership, talent development, succession planning, and a culture of accountability, collaboration, and continuous improvement. This role operates at enterprise scope, with responsibility for cross portfolio AI and product architecture direction, the establishment of enterprise standards, and the development of architecture capability and leadership at scale. What You Will Do Enterprise AI & Architecture Strategy Ownership Define and maintain enterprise architecture strategy, with a strong emphasis on AI, data platforms, and intelligent systems. Establish an AI enabled and product aware architecture vision and multi year roadmap aligned to business and digital strategy. Drive adoption of machine learning, advanced analytics, automation, and AI enabled product architectures across products and internal platforms. Translate emerging AI trends into scalable and productised enterprise capabilities. Product Solution Architecture Leadership Lead the definition of end to end product solution architecture across key enterprise products and platforms. Own the architectural integrity of product solutions, ensuring alignment with enterprise architecture, AI strategy, and business outcomes. Define architecture patterns and reference models for AI enabled products, ensuring consistency, scalability, and reuse. Partner with Product, Engineering, and Data teams to shape solution design from concept through delivery. Ensure product architectures are resilient, secure, and designed for global scale and operational excellence. Set direction for product solution architecture across portfolios, rather than contributing to individual solution designs. AI Governance, Standards & Responsible AI Define and enforce architecture and AI governance frameworks, including standards, guardrails, and design principles. Contribute to the development and implementation of responsible AI practices, including ethics, explainability, bias mitigation, and compliance, in line with regulatory expectations. Ensure AI solutions are secure, compliant, and aligned with enterprise risk frameworks. Provide oversight on critical AI and data architecture decisions across portfolios. Data, AI Platforms & Technical Leadership Define and evolve enterprise data architecture and AI platform strategy (data pipelines, MLOps, model lifecycle management). Drive adoption of cloud native, scalable AI architectures and modern data ecosystems. Lead the integration and architectural design of AI capabilities within core products, digital platforms, and customer journeys. Champion technical excellence, reusability, and platform thinking across the organisation. Executive Influence & Business Integration Act as a trusted advisor to executive leadership on AI strategy, risks, and opportunities. Influence corporate strategy through AI driven insights and product innovation opportunities. Translate business problems into AI enabled and product oriented architecture solutions. Provide architectural leadership on product strategy, ensuring solution design decisions align with enterprise architecture and AI driven innovation. Represent architecture and AI in executive and governance forums. Leadership, People Management and Capability Building Lead and develop SITA's architecture community, including architects, data and AI specialists, and the broader architecture capability. Provide leadership to the solution and customer architect teams across SITA, ensuring consistent standards, clear accountability, and strong alignment to enterprise, product, and customer outcomes. Provide effective people management for senior architects and architecture leaders, including objective setting, performance management, regular feedback, coaching, and mentoring. Lead workforce and talent planning for the architecture function, including recruitment, onboarding, succession planning, retention, and the development of future architecture leaders. Foster a high performing and inclusive team environment that encourages collaboration, continuous learning, knowledge sharing, and clear career development pathways for architects across SITA. Delegate appropriately, empower senior architects to lead within their areas of responsibility, and ensure clear governance, decision rights, and accountability across the architecture community. Build and scale AI, data, product, solution, and customer architecture capabilities across the organisation. Define architecture operating model, frameworks, and best practices in line with enterprise needs. Drive talent development, upskilling, and adoption of AI and product architecture practices across teams. Qualifications Experience: Enterprise architecture and governance. AI / ML architectures and data ecosystems. Data architecture, data management, and analytics. Cloud platforms and distributed systems. Solution, product, and customer architecture leadership at enterprise scale. What We Offer We're all about diversity. We operate in 200 countries and speak 60 different languages and cultures. We're really proud of our inclusive environment. Our offices are comfortable and fun places to work, and we make sure you get to work from home too. Find out what it's like to join our team and take a step closer to your best life ever. Flex Week: Work from home up to 2 days/week (depending on your team's needs). Flex Day: Make your workday suit your life and plans. Flex Location: Take up to 30 days a year to work from any location in the world. Employee Wellbeing: We've got you covered with our Employee Assistance Program (EAP), for you and your dependents 24/7, 365 days/year. We also offer Champion Health - a personalised platform that supports a range of wellbeing needs. Professional Development: Level up your skills with our training platforms, including LinkedIn Learning. Competitive Benefits: Competitive benefits that make sense with both your local market and employment status. SITA is an Equal Opportunity Employer. We value a diverse workforce. In support of our Employment Equity Program, we encourage women, aboriginal people, members of visible minorities, and/or persons with disabilities to apply and self identify in the application process.
28/07/2026
Full time
Overview WELCOME TO SITA We're the team that keeps airports moving, airlines flying smoothly, and borders open. Our tech and communication innovations are the secret behind the success of the world's air travel industry. You'll find us at 95% of international hubs. We partner closely with over 2,500 transportation and government clients, each with their own unique needs and challenges. Our goal is to find fresh solutions and cutting edge tech to make their operations run like clockwork. Want to be a part of something big? Are you ready to love your job? The adventure begins right here, with you, at SITA. About the Role & Team As Principal Architect, AI, Products and Enterprise Solutions, you will be accountable for defining and leading SITA's enterprise architecture direction across AI, data, product, solution, and customer architecture, including leadership of the solution and customer architect teams across the organisation. The role provides enterprise wide technical and people leadership, ensuring that AI, data, product, solution, and customer architectures are applied in a consistent and effective manner to support business value, innovation, and competitive advantage, while coaching, mentoring, and developing senior architects across SITA. In addition to architecture leadership, the role is responsible for ensuring that AI and product solution architectures are embedded within core products, platforms, and decision making processes, and for building a high performing architecture function through effective people leadership, talent development, succession planning, and a culture of accountability, collaboration, and continuous improvement. This role operates at enterprise scope, with responsibility for cross portfolio AI and product architecture direction, the establishment of enterprise standards, and the development of architecture capability and leadership at scale. What You Will Do Enterprise AI & Architecture Strategy Ownership Define and maintain enterprise architecture strategy, with a strong emphasis on AI, data platforms, and intelligent systems. Establish an AI enabled and product aware architecture vision and multi year roadmap aligned to business and digital strategy. Drive adoption of machine learning, advanced analytics, automation, and AI enabled product architectures across products and internal platforms. Translate emerging AI trends into scalable and productised enterprise capabilities. Product Solution Architecture Leadership Lead the definition of end to end product solution architecture across key enterprise products and platforms. Own the architectural integrity of product solutions, ensuring alignment with enterprise architecture, AI strategy, and business outcomes. Define architecture patterns and reference models for AI enabled products, ensuring consistency, scalability, and reuse. Partner with Product, Engineering, and Data teams to shape solution design from concept through delivery. Ensure product architectures are resilient, secure, and designed for global scale and operational excellence. Set direction for product solution architecture across portfolios, rather than contributing to individual solution designs. AI Governance, Standards & Responsible AI Define and enforce architecture and AI governance frameworks, including standards, guardrails, and design principles. Contribute to the development and implementation of responsible AI practices, including ethics, explainability, bias mitigation, and compliance, in line with regulatory expectations. Ensure AI solutions are secure, compliant, and aligned with enterprise risk frameworks. Provide oversight on critical AI and data architecture decisions across portfolios. Data, AI Platforms & Technical Leadership Define and evolve enterprise data architecture and AI platform strategy (data pipelines, MLOps, model lifecycle management). Drive adoption of cloud native, scalable AI architectures and modern data ecosystems. Lead the integration and architectural design of AI capabilities within core products, digital platforms, and customer journeys. Champion technical excellence, reusability, and platform thinking across the organisation. Executive Influence & Business Integration Act as a trusted advisor to executive leadership on AI strategy, risks, and opportunities. Influence corporate strategy through AI driven insights and product innovation opportunities. Translate business problems into AI enabled and product oriented architecture solutions. Provide architectural leadership on product strategy, ensuring solution design decisions align with enterprise architecture and AI driven innovation. Represent architecture and AI in executive and governance forums. Leadership, People Management and Capability Building Lead and develop SITA's architecture community, including architects, data and AI specialists, and the broader architecture capability. Provide leadership to the solution and customer architect teams across SITA, ensuring consistent standards, clear accountability, and strong alignment to enterprise, product, and customer outcomes. Provide effective people management for senior architects and architecture leaders, including objective setting, performance management, regular feedback, coaching, and mentoring. Lead workforce and talent planning for the architecture function, including recruitment, onboarding, succession planning, retention, and the development of future architecture leaders. Foster a high performing and inclusive team environment that encourages collaboration, continuous learning, knowledge sharing, and clear career development pathways for architects across SITA. Delegate appropriately, empower senior architects to lead within their areas of responsibility, and ensure clear governance, decision rights, and accountability across the architecture community. Build and scale AI, data, product, solution, and customer architecture capabilities across the organisation. Define architecture operating model, frameworks, and best practices in line with enterprise needs. Drive talent development, upskilling, and adoption of AI and product architecture practices across teams. Qualifications Experience: Enterprise architecture and governance. AI / ML architectures and data ecosystems. Data architecture, data management, and analytics. Cloud platforms and distributed systems. Solution, product, and customer architecture leadership at enterprise scale. What We Offer We're all about diversity. We operate in 200 countries and speak 60 different languages and cultures. We're really proud of our inclusive environment. Our offices are comfortable and fun places to work, and we make sure you get to work from home too. Find out what it's like to join our team and take a step closer to your best life ever. Flex Week: Work from home up to 2 days/week (depending on your team's needs). Flex Day: Make your workday suit your life and plans. Flex Location: Take up to 30 days a year to work from any location in the world. Employee Wellbeing: We've got you covered with our Employee Assistance Program (EAP), for you and your dependents 24/7, 365 days/year. We also offer Champion Health - a personalised platform that supports a range of wellbeing needs. Professional Development: Level up your skills with our training platforms, including LinkedIn Learning. Competitive Benefits: Competitive benefits that make sense with both your local market and employment status. SITA is an Equal Opportunity Employer. We value a diverse workforce. In support of our Employment Equity Program, we encourage women, aboriginal people, members of visible minorities, and/or persons with disabilities to apply and self identify in the application process.
A career without limits As the nation's flag carrier, we take great pride in connecting Britain with the world and the world with Britain. It's something we've been doing for over 100 years, ever since we launched the world's first international scheduled air service between London and Paris. This originality has been in our blood since day one. It's the spirit we share with the people that fly with us, our partners, and our colleagues. So, whether you are a reassuring voice on the end of a phone, a smile at the door, under a wing keeping the turbines spinning or landing us gently in far flung places, a job at British Airways is yours to make. We know great things can happen when you're inspired to think big and bring your ambition to work every day, which is why, at British Airways the sky is never the limit. The role: Principal Data Scientist You'll be part of our Data & AI Delivery team, acting as a technical leader for the application of data science, machine learning, and AI across the organisation. This team plays a critical role in enabling secure, scalable and high performing data and AI products that underpin data driven decision making across British Airways. What you'll do: Lead the end to end delivery and lifecycle management of data science products and initiatives Scope and frame ill defined business problems and define data science solutions aligned with business goals Manage and coach data science teams delivering predictive models, optimisation engines and decision support tools Design, build and deploy production ready data science solutions that integrate with business processes and digital platforms Ensure quality, timely delivery and ongoing value of data science products Acquire, process and analyse large and complex datasets to create high quality model inputs Translate analytical outputs into clear, actionable business recommendations Provide guidance to stakeholders on how data science solutions improve business outcomes Oversee improvements, maintenance and decommissioning of existing data science products Ensure adherence to published frameworks, best practice, model compliance and ethical standards Monitor industry trends and advancements in data science Work collaboratively within cross functional Agile squads Contribute to feature prioritisation and road mapping, balancing speed and long term value Lead and embed effective agile ways of working, including engineering standards and delivery discipline What you'll bring to British Airways: Strong analytical mindset with the ability to structure ambiguous problems Proven technical leadership in data science and machine learning delivery Ability to communicate complex technical concepts clearly to senior and non technical audiences Confidence challenging constructively and influencing senior stakeholders Strong stakeholder relationship building capability Experience coaching, developing and line managing others Ethical and responsible approach to data science and AI Collaborative, empowering and resilient working style Continuous improvement mindset with a strong focus on business impact Your experience: Numerate degree or equivalent with data science components Experience of leading others in applying data science to business problems Experience in developing industrialised software, especially data science or machine learning software products Experience in relevant business domains (transportation, airlines, operations, network problems) (preferred) What we offer: We believe that all the people who work with us should feel valued for the part they play. It's one of the reasons our rewards go far beyond a competitive salary. From the day you join us, you'll get access to brilliant staff travel benefits including unlimited basic and premium standby tickets on British Airways flights. You'll also receive up to 30 discounted 'Hotline' airfares per year for yourself, friends, and family. At British Airways you'll have the chance to take on new challenges and move forward in a way that feels right for you. We encourage all those who work for us to consider opportunities right across our business to help you develop and progress. We never stand still, and we don't expect our people to either. Inclusion & Diversity At British Airways we all have a part to play in creating an inclusive place to work. Diverse representation among our people is really important to us and we recognise that all our colleagues are uniquely different and bring their own originality, creativity and identity to work. Inclusion and diversity is a key driver of innovation and we're committed to creating a culture where everyone feels that they can be themselves. We're looking for people from all backgrounds and cultures to join us and be a part of our journey to become a Better BA as we continue to connect Britain with the world and the world with Britain.
28/07/2026
Full time
A career without limits As the nation's flag carrier, we take great pride in connecting Britain with the world and the world with Britain. It's something we've been doing for over 100 years, ever since we launched the world's first international scheduled air service between London and Paris. This originality has been in our blood since day one. It's the spirit we share with the people that fly with us, our partners, and our colleagues. So, whether you are a reassuring voice on the end of a phone, a smile at the door, under a wing keeping the turbines spinning or landing us gently in far flung places, a job at British Airways is yours to make. We know great things can happen when you're inspired to think big and bring your ambition to work every day, which is why, at British Airways the sky is never the limit. The role: Principal Data Scientist You'll be part of our Data & AI Delivery team, acting as a technical leader for the application of data science, machine learning, and AI across the organisation. This team plays a critical role in enabling secure, scalable and high performing data and AI products that underpin data driven decision making across British Airways. What you'll do: Lead the end to end delivery and lifecycle management of data science products and initiatives Scope and frame ill defined business problems and define data science solutions aligned with business goals Manage and coach data science teams delivering predictive models, optimisation engines and decision support tools Design, build and deploy production ready data science solutions that integrate with business processes and digital platforms Ensure quality, timely delivery and ongoing value of data science products Acquire, process and analyse large and complex datasets to create high quality model inputs Translate analytical outputs into clear, actionable business recommendations Provide guidance to stakeholders on how data science solutions improve business outcomes Oversee improvements, maintenance and decommissioning of existing data science products Ensure adherence to published frameworks, best practice, model compliance and ethical standards Monitor industry trends and advancements in data science Work collaboratively within cross functional Agile squads Contribute to feature prioritisation and road mapping, balancing speed and long term value Lead and embed effective agile ways of working, including engineering standards and delivery discipline What you'll bring to British Airways: Strong analytical mindset with the ability to structure ambiguous problems Proven technical leadership in data science and machine learning delivery Ability to communicate complex technical concepts clearly to senior and non technical audiences Confidence challenging constructively and influencing senior stakeholders Strong stakeholder relationship building capability Experience coaching, developing and line managing others Ethical and responsible approach to data science and AI Collaborative, empowering and resilient working style Continuous improvement mindset with a strong focus on business impact Your experience: Numerate degree or equivalent with data science components Experience of leading others in applying data science to business problems Experience in developing industrialised software, especially data science or machine learning software products Experience in relevant business domains (transportation, airlines, operations, network problems) (preferred) What we offer: We believe that all the people who work with us should feel valued for the part they play. It's one of the reasons our rewards go far beyond a competitive salary. From the day you join us, you'll get access to brilliant staff travel benefits including unlimited basic and premium standby tickets on British Airways flights. You'll also receive up to 30 discounted 'Hotline' airfares per year for yourself, friends, and family. At British Airways you'll have the chance to take on new challenges and move forward in a way that feels right for you. We encourage all those who work for us to consider opportunities right across our business to help you develop and progress. We never stand still, and we don't expect our people to either. Inclusion & Diversity At British Airways we all have a part to play in creating an inclusive place to work. Diverse representation among our people is really important to us and we recognise that all our colleagues are uniquely different and bring their own originality, creativity and identity to work. Inclusion and diversity is a key driver of innovation and we're committed to creating a culture where everyone feels that they can be themselves. We're looking for people from all backgrounds and cultures to join us and be a part of our journey to become a Better BA as we continue to connect Britain with the world and the world with Britain.
AI Solution Architect Senior ManagerApplylocations: United Kingdomtime type: Full timeposted on: Posted Yesterdayjob requisition id: JR111476 Be the one building AI-powered experiences where they matter most. At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships. Help build, support and operate technology used by more than 8,000 organizations in over 100 countries - moving AI from possibility to production in real-world enterprise environments every day. The Senior Manager, AI Solution Architecture leads a team of AI Architects responsible for designing, governing, and enabling innovative AI-powered customer experience solutions across the Genesys ecosystem. This role combines deep expertise in artificial intelligence, conversational AI, customer experience technologies, cloud architecture, and people leadership to drive the successful adoption of AI solutions that deliver measurable business outcomes.The ideal candidate is a strategic technology leader who can bridge business objectives, AI innovation, and technical execution while developing a high-performing team of architects. This role partners closely with Sales, Product Management, Engineering, Professional Services, Customer Success, and executive stakeholders to accelerate AI transformation initiatives for customers and the organization. Key Responsibilities Leadership & Team Development Lead, mentor, and develop a team of AI Solution Architects, fostering a culture of innovation, collaboration, and technical excellence. Establish performance goals, development plans, and career progression paths for team members. Drive the adoption of AI architecture standards, best practices, and governance frameworks. Support hiring, onboarding, and retention of top AI and cloud architecture talent. Promote continuous learning in emerging AI technologies, large language models (LLMs), generative AI, agentic AI, machine learning, and automation.AI Architecture Strategy Define and execute the AI architecture vision aligned with Genesys' AI strategy and customer experience transformation goals. Oversee the design and validation of complex AI solutions leveraging Genesys Cloud AI capabilities, conversational AI platforms, generative AI technologies, and third-party AI ecosystems. Establish architectural standards for AI solution scalability, security, observability, reliability, compliance, and responsible AI practices. Lead architectural reviews and provide guidance on AI deployment models, integration patterns, data architecture, and operationalization strategies. Serve as the escalation point for complex AI solution challenges and architectural decisions.Customer & Business Engagement Act as a trusted advisor to customers and executive stakeholders on AI transformation initiatives. Lead strategic AI discovery sessions, architecture workshops, executive briefings, and innovation engagements. Translate business objectives into AI-driven customer experience solutions that deliver measurable value. Support strategic sales opportunities through AI vision, solution design, technical leadership, and executive engagement. Help customers define AI adoption roadmaps, governance models, and business value frameworks.Cross-Functional Collaboration Partner with Product Management, Engineering, Data Science, Professional Services, Customer Success, and Sales organizations. Influence AI product direction by providing feedback from customer engagements and market trends. Collaborate with internal stakeholders to define reusable AI frameworks, accelerators, and reference architectures. Support go-to-market initiatives and thought leadership around AI-driven customer experience innovation.Operational Excellence Define and monitor KPIs related to AI architecture effectiveness, adoption, customer outcomes, and team performance. Ensure consistency and quality across AI solution designs and customer engagements. Drive operational processes for AI governance, risk management, model lifecycle management, and architecture reviews. Promote responsible AI practices, including transparency, security, privacy, compliance, and ethical AI principles. Required Qualifications Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or related field. 10+ years of experience in enterprise architecture, solution architecture, AI, cloud technologies, or customer experience platforms. 5+ years of leadership experience managing architects, engineers, or technical consulting teams. Strong understanding of AI and machine learning concepts, including: Generative AI Large Language Models (LLMs) Conversational AI Agentic AI Systems Retrieval-Augmented Generation (RAG) Prompt Engineering AI Governance and Responsible AI Experience designing enterprise-scale AI solutions and cloud-native architectures. Knowledge of Genesys Cloud AI capabilities, customer engagement technologies, and contact center transformation initiatives. Strong executive communication, stakeholder management, and presentation skills. Preferred Qualifications Experience with AI platforms such as OpenAI, Google Vertex AI, Amazon Bedrock, Microsoft Azure AI, Anthropic, or similar ecosystems. Familiarity with vector databases, knowledge management systems, AI orchestration frameworks, and MLOps practices. Experience with data architecture, analytics, and enterprise integration patterns. Cloud certifications (AWS, Azure, GCP) and AI-related certifications. Experience leading AI transformation initiatives in large enterprise environments. Leadership Competencies AI Innovation Leadership: Drives adoption of emerging AI technologies and identifies opportunities to create business value. Strategic Thinking: Aligns AI initiatives with business strategy, customer outcomes, and organizational objectives. Customer-Centric Mindset: Focuses on delivering measurable improvements in customer and employee experiences through AI. Technical Excellence: Demonstrates deep expertise in AI architectures, cloud platforms, and enterprise solution design. Talent Development: Builds and develops high-performing AI architecture teams. Influence & Collaboration: Effectively partners across technical, business, and executive stakeholders. Responsible AI Stewardship: Champions ethical, secure, transparent, and compliant AI solutions. Success Metrics AI revenue influence and strategic opportunity support. Customer adoption of AI solutions and measurable business outcomes. Quality, scalability, and governance of AI architectures. Team engagement, capability growth, and retention. Reusable AI assets, reference architectures, and best practices created. Executive stakeholder satisfaction and trusted advisor status. Contribution to Genesys' AI leadership and innovation objectives. Strategic Mission Lead the evolution of AI-powered customer experience architecture by enabling organizations to leverage conversational AI, generative AI, agentic automation, and intelligent orchestration to transform how customers and employees interact with brands, while ensuring scalability, governance, and business value at enterprise scale. Working at Genesys AI at enterprise scale - Build, support and operate AI-powered technology used by more than 8,000 organizations worldwide. 150+ new AI features were released in the last fiscal year. A flexible-first culture - Join a global team of nearly 7,000 employees with flexible ways of working designed to help people do their best work. Growth in the AI era - Build future-ready skills through mentorship, learning programs, leadership development and education support. Time to recharge and give back - Benefits include paid volunteer time, August Free Fridays, well-being resources and regionally tailored programs for employees and their families. Recognized globally - Genesys is Great Place to Work certified in 17 countries and 94% of employees are proud to tell others they work at Genesys.Learn more about our culture, AI innovation and sustainability commitments through our Careers site and Sustainability Report. What Happens After You Apply After you apply, here's what you can typically expect: Our Talent Acquisition team reviews your application with the hiring team. A Talent Acquisition Partner will review your application and, if your background is aligned, schedule a Zoom interview. Next, you'll meet the hiring manager and other members of the interview team. We aim to keep the process focused and respectful of your time, with no more than five interviews in most cases. After interviews are complete, our team will follow up with the final steps.Every application is reviewed by a person. Response times may vary by role and location, but our team will keep you informed throughout the process. Stay Connected Stay connected to learn more about how we're applying AI to customer and employee experience challenges and get notified when relevant opportunities become available.Get notified about relevant opportunities. # Be the one building what's next - where AI, experience and impact come together. Employee Referral If a Genesys employee referred you, please apply using the link they shared so we can connect your application to their referral. About Genesys: Genesys empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys CloudTM is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces . click apply for full job details
28/07/2026
Full time
AI Solution Architect Senior ManagerApplylocations: United Kingdomtime type: Full timeposted on: Posted Yesterdayjob requisition id: JR111476 Be the one building AI-powered experiences where they matter most. At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships. Help build, support and operate technology used by more than 8,000 organizations in over 100 countries - moving AI from possibility to production in real-world enterprise environments every day. The Senior Manager, AI Solution Architecture leads a team of AI Architects responsible for designing, governing, and enabling innovative AI-powered customer experience solutions across the Genesys ecosystem. This role combines deep expertise in artificial intelligence, conversational AI, customer experience technologies, cloud architecture, and people leadership to drive the successful adoption of AI solutions that deliver measurable business outcomes.The ideal candidate is a strategic technology leader who can bridge business objectives, AI innovation, and technical execution while developing a high-performing team of architects. This role partners closely with Sales, Product Management, Engineering, Professional Services, Customer Success, and executive stakeholders to accelerate AI transformation initiatives for customers and the organization. Key Responsibilities Leadership & Team Development Lead, mentor, and develop a team of AI Solution Architects, fostering a culture of innovation, collaboration, and technical excellence. Establish performance goals, development plans, and career progression paths for team members. Drive the adoption of AI architecture standards, best practices, and governance frameworks. Support hiring, onboarding, and retention of top AI and cloud architecture talent. Promote continuous learning in emerging AI technologies, large language models (LLMs), generative AI, agentic AI, machine learning, and automation.AI Architecture Strategy Define and execute the AI architecture vision aligned with Genesys' AI strategy and customer experience transformation goals. Oversee the design and validation of complex AI solutions leveraging Genesys Cloud AI capabilities, conversational AI platforms, generative AI technologies, and third-party AI ecosystems. Establish architectural standards for AI solution scalability, security, observability, reliability, compliance, and responsible AI practices. Lead architectural reviews and provide guidance on AI deployment models, integration patterns, data architecture, and operationalization strategies. Serve as the escalation point for complex AI solution challenges and architectural decisions.Customer & Business Engagement Act as a trusted advisor to customers and executive stakeholders on AI transformation initiatives. Lead strategic AI discovery sessions, architecture workshops, executive briefings, and innovation engagements. Translate business objectives into AI-driven customer experience solutions that deliver measurable value. Support strategic sales opportunities through AI vision, solution design, technical leadership, and executive engagement. Help customers define AI adoption roadmaps, governance models, and business value frameworks.Cross-Functional Collaboration Partner with Product Management, Engineering, Data Science, Professional Services, Customer Success, and Sales organizations. Influence AI product direction by providing feedback from customer engagements and market trends. Collaborate with internal stakeholders to define reusable AI frameworks, accelerators, and reference architectures. Support go-to-market initiatives and thought leadership around AI-driven customer experience innovation.Operational Excellence Define and monitor KPIs related to AI architecture effectiveness, adoption, customer outcomes, and team performance. Ensure consistency and quality across AI solution designs and customer engagements. Drive operational processes for AI governance, risk management, model lifecycle management, and architecture reviews. Promote responsible AI practices, including transparency, security, privacy, compliance, and ethical AI principles. Required Qualifications Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or related field. 10+ years of experience in enterprise architecture, solution architecture, AI, cloud technologies, or customer experience platforms. 5+ years of leadership experience managing architects, engineers, or technical consulting teams. Strong understanding of AI and machine learning concepts, including: Generative AI Large Language Models (LLMs) Conversational AI Agentic AI Systems Retrieval-Augmented Generation (RAG) Prompt Engineering AI Governance and Responsible AI Experience designing enterprise-scale AI solutions and cloud-native architectures. Knowledge of Genesys Cloud AI capabilities, customer engagement technologies, and contact center transformation initiatives. Strong executive communication, stakeholder management, and presentation skills. Preferred Qualifications Experience with AI platforms such as OpenAI, Google Vertex AI, Amazon Bedrock, Microsoft Azure AI, Anthropic, or similar ecosystems. Familiarity with vector databases, knowledge management systems, AI orchestration frameworks, and MLOps practices. Experience with data architecture, analytics, and enterprise integration patterns. Cloud certifications (AWS, Azure, GCP) and AI-related certifications. Experience leading AI transformation initiatives in large enterprise environments. Leadership Competencies AI Innovation Leadership: Drives adoption of emerging AI technologies and identifies opportunities to create business value. Strategic Thinking: Aligns AI initiatives with business strategy, customer outcomes, and organizational objectives. Customer-Centric Mindset: Focuses on delivering measurable improvements in customer and employee experiences through AI. Technical Excellence: Demonstrates deep expertise in AI architectures, cloud platforms, and enterprise solution design. Talent Development: Builds and develops high-performing AI architecture teams. Influence & Collaboration: Effectively partners across technical, business, and executive stakeholders. Responsible AI Stewardship: Champions ethical, secure, transparent, and compliant AI solutions. Success Metrics AI revenue influence and strategic opportunity support. Customer adoption of AI solutions and measurable business outcomes. Quality, scalability, and governance of AI architectures. Team engagement, capability growth, and retention. Reusable AI assets, reference architectures, and best practices created. Executive stakeholder satisfaction and trusted advisor status. Contribution to Genesys' AI leadership and innovation objectives. Strategic Mission Lead the evolution of AI-powered customer experience architecture by enabling organizations to leverage conversational AI, generative AI, agentic automation, and intelligent orchestration to transform how customers and employees interact with brands, while ensuring scalability, governance, and business value at enterprise scale. Working at Genesys AI at enterprise scale - Build, support and operate AI-powered technology used by more than 8,000 organizations worldwide. 150+ new AI features were released in the last fiscal year. A flexible-first culture - Join a global team of nearly 7,000 employees with flexible ways of working designed to help people do their best work. Growth in the AI era - Build future-ready skills through mentorship, learning programs, leadership development and education support. Time to recharge and give back - Benefits include paid volunteer time, August Free Fridays, well-being resources and regionally tailored programs for employees and their families. Recognized globally - Genesys is Great Place to Work certified in 17 countries and 94% of employees are proud to tell others they work at Genesys.Learn more about our culture, AI innovation and sustainability commitments through our Careers site and Sustainability Report. What Happens After You Apply After you apply, here's what you can typically expect: Our Talent Acquisition team reviews your application with the hiring team. A Talent Acquisition Partner will review your application and, if your background is aligned, schedule a Zoom interview. Next, you'll meet the hiring manager and other members of the interview team. We aim to keep the process focused and respectful of your time, with no more than five interviews in most cases. After interviews are complete, our team will follow up with the final steps.Every application is reviewed by a person. Response times may vary by role and location, but our team will keep you informed throughout the process. Stay Connected Stay connected to learn more about how we're applying AI to customer and employee experience challenges and get notified when relevant opportunities become available.Get notified about relevant opportunities. # Be the one building what's next - where AI, experience and impact come together. Employee Referral If a Genesys employee referred you, please apply using the link they shared so we can connect your application to their referral. About Genesys: Genesys empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys CloudTM is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces . click apply for full job details
Technical Lead, Machine Learning Permanent | £180,000 Base Salary + Meaningful Equity London/Remote The Opportunity to Build Something Defining Most AI roles involve improving existing systems. This opportunity is about creating them. We're partnering with a heavily funded AI venture on a mission to build a next-generation intelligent assistant capable of helping users manage conversations, workflows, tasks, and real-world actions with minimal prompting. The company has committed significant investment to building a world-class organisation and is embarking on a major hiring programme, creating a rare opportunity for exceptional engineers to join at a stage where their impact will be both immediate and lasting. As Technical Lead, Machine Learning , you won't be inheriting Legacy systems or maintaining someone else's architecture. You'll help define the foundations of the platform itself-shaping how the product reasons, remembers, plans, and executes tasks on behalf of users. This is a role for someone who wants to build category-defining technology rather than incremental improvements. Why This Role Stands Out Most senior ML opportunities offer scale. Few offer ownership. Here, you'll have the opportunity to: Define the machine learning architecture that powers the entire product. Influence technical strategy at the highest level. Build systems from first principles rather than work within established constraints. Solve some of the hardest challenges in AI, including memory, reasoning, reliability, and real-world task execution. Work alongside a small team of exceptional engineers, researchers, and builders. See your work directly influence the product experience for millions of future users. For ambitious engineers who enjoy solving difficult problems and having a visible impact, opportunities like this are rare. What You'll Own You will lead the design, development, and operation of the company's core ML systems, including: Machine Learning Infrastructure End-to-end training pipelines Evaluation and benchmarking frameworks Production inference architecture Monitoring, observability, and performance systems Deployment and scaling infrastructure Large Language Models Fine-tuning foundation models using: LoRA QLoRA SFT DPO Distillation Improving model reliability and reasoning capabilities Building systems that move beyond simple chat applications into real-world task execution Production AI Systems GPU optimisation and infrastructure efficiency Low-latency inference systems Scalability and reliability engineering Cost and performance optimisation AI safety and evaluation frameworks Technical Leadership Drive architectural decisions across the ML platform Partner closely with Product and Engineering teams Mentor and influence other engineers Establish technical standards and best practices Who We're Looking For We're interested in exceptional builders who have demonstrated the ability to take ideas from concept to production. You may currently be a: Technical Lead, Machine Learning Staff Machine Learning Engineer Principal Machine Learning Engineer Founding AI Engineer Founding ML Engineer Research Engineer Lead AI Engineer Early employee at a high-growth AI startup Ideal Experience Strong Python software engineering skills Expertise with PyTorch and/or JAX Experience deploying machine learning systems into production Deep knowledge of LLMs and Generative AI Hands-on experience with LoRA, QLoRA, DPO, RLHF, SFT, or related techniques Experience building inference platforms and ML infrastructure Strong understanding of scalability, reliability, and performance optimisation Previous startup or high-growth environment experience is highly desirable The Person The successful candidate will likely be someone who: Enjoys building from zero to one Thrives in high-autonomy environments Takes ownership of outcomes, not just tasks Makes pragmatic decisions and executes quickly Balances innovation with engineering discipline Wants to work on problems that genuinely push the boundaries of applied AI Package Permanent Position £180,000 base salary Meaningful equity participation Significant ownership from day one Direct influence over product and technical direction Flexible working environment Opportunity to help build a globally impactful AI company Interested? If you're excited by the idea of building the intelligence layer behind a next-generation AI platform-and want the opportunity to help shape both the technology and the future of the company-we'd love to speak with you. Apply now for a confidential discussion.
28/07/2026
Full time
Technical Lead, Machine Learning Permanent | £180,000 Base Salary + Meaningful Equity London/Remote The Opportunity to Build Something Defining Most AI roles involve improving existing systems. This opportunity is about creating them. We're partnering with a heavily funded AI venture on a mission to build a next-generation intelligent assistant capable of helping users manage conversations, workflows, tasks, and real-world actions with minimal prompting. The company has committed significant investment to building a world-class organisation and is embarking on a major hiring programme, creating a rare opportunity for exceptional engineers to join at a stage where their impact will be both immediate and lasting. As Technical Lead, Machine Learning , you won't be inheriting Legacy systems or maintaining someone else's architecture. You'll help define the foundations of the platform itself-shaping how the product reasons, remembers, plans, and executes tasks on behalf of users. This is a role for someone who wants to build category-defining technology rather than incremental improvements. Why This Role Stands Out Most senior ML opportunities offer scale. Few offer ownership. Here, you'll have the opportunity to: Define the machine learning architecture that powers the entire product. Influence technical strategy at the highest level. Build systems from first principles rather than work within established constraints. Solve some of the hardest challenges in AI, including memory, reasoning, reliability, and real-world task execution. Work alongside a small team of exceptional engineers, researchers, and builders. See your work directly influence the product experience for millions of future users. For ambitious engineers who enjoy solving difficult problems and having a visible impact, opportunities like this are rare. What You'll Own You will lead the design, development, and operation of the company's core ML systems, including: Machine Learning Infrastructure End-to-end training pipelines Evaluation and benchmarking frameworks Production inference architecture Monitoring, observability, and performance systems Deployment and scaling infrastructure Large Language Models Fine-tuning foundation models using: LoRA QLoRA SFT DPO Distillation Improving model reliability and reasoning capabilities Building systems that move beyond simple chat applications into real-world task execution Production AI Systems GPU optimisation and infrastructure efficiency Low-latency inference systems Scalability and reliability engineering Cost and performance optimisation AI safety and evaluation frameworks Technical Leadership Drive architectural decisions across the ML platform Partner closely with Product and Engineering teams Mentor and influence other engineers Establish technical standards and best practices Who We're Looking For We're interested in exceptional builders who have demonstrated the ability to take ideas from concept to production. You may currently be a: Technical Lead, Machine Learning Staff Machine Learning Engineer Principal Machine Learning Engineer Founding AI Engineer Founding ML Engineer Research Engineer Lead AI Engineer Early employee at a high-growth AI startup Ideal Experience Strong Python software engineering skills Expertise with PyTorch and/or JAX Experience deploying machine learning systems into production Deep knowledge of LLMs and Generative AI Hands-on experience with LoRA, QLoRA, DPO, RLHF, SFT, or related techniques Experience building inference platforms and ML infrastructure Strong understanding of scalability, reliability, and performance optimisation Previous startup or high-growth environment experience is highly desirable The Person The successful candidate will likely be someone who: Enjoys building from zero to one Thrives in high-autonomy environments Takes ownership of outcomes, not just tasks Makes pragmatic decisions and executes quickly Balances innovation with engineering discipline Wants to work on problems that genuinely push the boundaries of applied AI Package Permanent Position £180,000 base salary Meaningful equity participation Significant ownership from day one Direct influence over product and technical direction Flexible working environment Opportunity to help build a globally impactful AI company Interested? If you're excited by the idea of building the intelligence layer behind a next-generation AI platform-and want the opportunity to help shape both the technology and the future of the company-we'd love to speak with you. Apply now for a confidential discussion.
Overview Machine Learning Research Engineer - NLP / LLM Expert. A brilliant opportunity for a machine learning research engineer to work on researching and investigating new concepts for industry-leading machine-learning software in Cambridge, UK. Ideally suited to those with a Ph.D. relating to Machine Learning with a keen interest in Natural Language Processing and Computer Vision and its application to an advancing technical landscape. Location: Cambridge - 3 days in office, 2 days remote Salary: Up to £100,000 depending on experience Responsibilities Join a small team responsible for investigating the latest research in machine learning algorithms - largely within the NLP field with some computer vision Make suggestions based on the feasibility of research to help shape future projects and products Prototype research concepts Determine output quality, efficiency, and feasibility compared with other techniques Qualifications A minimum of a degree, ideally a Ph.D., from a world-leading university in Computer Science, Physics, Maths or similar Expert knowledge in LLMs, NLP and Machine Learning / AI Excellent academics throughout including a minimum of a 2.1 degree from a leading university, AAB at A-Level Published papers Good understanding of software engineering concepts Ability to code in Python Experience working with large data sets (desirable) What this offers Working for an industry-leading software company with a track record of hiring and training graduates Highly interesting work researching the next phases of cutting-edge machine-learning software A good remuneration and benefits package Applications If you would like to apply for this unique ML Engineer opportunity, we would love to hear from you. Please send an up-to-date CV via the relevant link. We are committed to an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by emailing the contact provided on our website. Keywords Python, Deep Learning, Machine Learning, NLP, Natural Language Processing, Computer Vision, Research, Post-Doc, Ph.D., DPhil, Computer Science, Mathematics, Physics, Engineering, Text Analytics, Speech processing, Software Engineer, Researching, Journals, AI, Artificial Intelligence, Neural Networks, Developer, Algorithm Company: RedTech Recruitment Educational level: Senior (5+ years of experience) Language requirements Specific requirements Level of experience (years)
28/07/2026
Full time
Overview Machine Learning Research Engineer - NLP / LLM Expert. A brilliant opportunity for a machine learning research engineer to work on researching and investigating new concepts for industry-leading machine-learning software in Cambridge, UK. Ideally suited to those with a Ph.D. relating to Machine Learning with a keen interest in Natural Language Processing and Computer Vision and its application to an advancing technical landscape. Location: Cambridge - 3 days in office, 2 days remote Salary: Up to £100,000 depending on experience Responsibilities Join a small team responsible for investigating the latest research in machine learning algorithms - largely within the NLP field with some computer vision Make suggestions based on the feasibility of research to help shape future projects and products Prototype research concepts Determine output quality, efficiency, and feasibility compared with other techniques Qualifications A minimum of a degree, ideally a Ph.D., from a world-leading university in Computer Science, Physics, Maths or similar Expert knowledge in LLMs, NLP and Machine Learning / AI Excellent academics throughout including a minimum of a 2.1 degree from a leading university, AAB at A-Level Published papers Good understanding of software engineering concepts Ability to code in Python Experience working with large data sets (desirable) What this offers Working for an industry-leading software company with a track record of hiring and training graduates Highly interesting work researching the next phases of cutting-edge machine-learning software A good remuneration and benefits package Applications If you would like to apply for this unique ML Engineer opportunity, we would love to hear from you. Please send an up-to-date CV via the relevant link. We are committed to an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by emailing the contact provided on our website. Keywords Python, Deep Learning, Machine Learning, NLP, Natural Language Processing, Computer Vision, Research, Post-Doc, Ph.D., DPhil, Computer Science, Mathematics, Physics, Engineering, Text Analytics, Speech processing, Software Engineer, Researching, Journals, AI, Artificial Intelligence, Neural Networks, Developer, Algorithm Company: RedTech Recruitment Educational level: Senior (5+ years of experience) Language requirements Specific requirements Level of experience (years)
Job Purpose As Senior Architect AI, you will be accountable for designing and overseeing the end-to-end AI platform architecture that powers Liberty Global's telecommunications services across our 85 million subscriber base. You'll bridge technical excellence with business value, ensuring AI solutions integrate seamlessly with our telecommunications infrastructure while meeting operational, budget, and performance requirements. This role requires deep technical expertise combined with strong communication skills to work effectively with both engineering teams and business stakeholders, translating complex technical concepts into actionable recommendations that drive business outcomes. Key Responsibilities End-to-End AI Architecture Design & Ownership Design and maintain comprehensive AI platform architecture spanning data pipelines, model development, infrastructure, deployment frameworks, and integration with both on Prem and cloud platforms and applications. Own the technical vision for AI platform evolution, ensuring architecture supports current and future business requirements, context & process across customer experience, AI innovation, and operational efficiency use cases Define architectural standards, design patterns, and technology selection criteria that enable scalable, reliable AI implementations across multiple European markets & ventures Ensure architectural decisions consider operational requirements, budget constraints, and business priorities while maintaining technical excellence Platform Integration & Technical Accountability Take accountability for AI platform integration with Liberty Global's core telecommunications infrastructure & ventures, ensuring seamless data flow and system reliability Design integration patterns and API strategies that connect AI services with existing platforms while maintaining security, performance, and data quality standards Collaborate with enterprise architects and engineering teams to ensure AI solutions align with overall technology architecture and infrastructure capabilities Establish output goals, monitoring, observability, and quality assurance practices for AI platform components, ensuring operational stability and performance targets are met Technical Guidance & Cross-Functional Collaboration Provide technical expertise and architectural guidance to engineering teams, data scientists, and product managers throughout the AI solution development lifecycle Work closely with business stakeholders to understand requirements, translate them into technical architectures, and communicate trade-offs, timelines, and resource needs clearly Review and approve technical designs, ensuring alignment with architectural standards and best practices while addressing scalability, security, and maintainability concerns Collaborate with operations teams on deployment strategies, capacity planning, and cost optimization for AI infrastructure and cloud resources Support comprehensive technical due diligence for potential acquisitions, investments, or partnerships Operational Excellence & Budget Considerations Contribute to budget planning and cost optimization discussions, providing recommendations on infrastructure investments, cloud resource allocation, and technology choices Design architectures that optimize operational efficiency through automation, resource utilization, and smart platform design while meeting performance requirements Support capacity planning and infrastructure scaling decisions based on usage patterns, performance metrics, and business growth projections Participate in vendor evaluations and technology assessments, providing technical recommendations that balance capability, cost, and operational impact Define, refine & optimise processes, frameworks & context to ensure right business outcomes Set Lifecycle management expectations and govern End of Existence models and components Define and validate business cases by establishing clear metrics, measurable outcomes, and ROI, ensuring solutions deliver tangible customer value and product impact Knowledge and Experience Essential: 8-10 years of experience in software architecture or technical lead roles with 4-5 years focused on AI/ML platforms and data-intensive systems Proven experience designing end-to-end architectures or processes for AI/ML systems in production environments supporting large user bases Understanding of IT platforms i.e., cloud platforms (AWS, Azure, GCP), containerization (Kubernetes, Docker), and MLOps frameworks and practices Understanding of the use of Waterfall vs Agile practices including use of Kanban, SAFE, etc Deep understanding of telecommunications systems and integration patterns with OSS/BSS, customer platforms, and network management systems Demonstrated ability to work effectively with both technical teams and business stakeholders, translating between technical and business language Proficiency in AI/ML technologies including model training platforms, deployment frameworks, data pipelines, and monitoring tools Experience with distributed systems design, API architecture, and microservices patterns for building scalable platforms Strong knowledge of database technologies, data warehousing, streaming platforms (Kafka, Pulsar), and big data processing frameworks Excellent communication and presentation skills for explaining complex technical concepts to non-technical audiences and business stakeholders including use of deep data analysis Understanding of budget planning, cost modelling, and operational considerations for large-scale technology platforms & businesses Ability to source, process, and analyse complex datasets to generate actionable insights that inform business and product decisions Understanding of budget planning, cost modelling, and operational considerations for large-scale technology platforms & businesses Ability to source, process, and analyse complex datasets to generate actionable insights that inform business and product decisions Desirable: Hands-on coding and prototyping experience in AI/ML development (Python, TensorFlow, PyTorch) Experience with proof-of-concept development and technical validation of new AI technologies Background in data science or machine learning engineering with an understanding of model development workflows Practical experience with infrastructure-as-code and DevOps practices for AI platforms Knowledge of data management M&A due diligence Preferred education/qualifications: Experience in telecommunications, cable, or network infrastructure industries with understanding of subscriber analytics and operational systems Bachelor's or Master's degree in Computer Science, Engineering, Telecommunications, or related technical field Background in hands-on development with Python, Java, or similar languages (nice to have but not required for day-to-day work) Knowledge of AI ethics, responsible AI practices, and regulatory requirements relevant to European telecommunications markets or relevant knowledge gained from operations Experience with architectural frameworks and documentation practices for enterprise-scale systems Our Story We're building Tomorrow's Connections Today. Liberty Global is a leading international converged connectivity and investment company focused on creating sustainable, long-term value for customers, employees and shareholders through the strategic management of three platforms - Liberty Telecom, Liberty Growth and Liberty Services. Liberty Telecom is a world leader in converged broadband, video and mobile communications services, delivering next-generation products through advanced fibre and 5G networks. It currently provides approximately 80 million connections through some of Europe's best-known consumer brands, including Virgin Media-O2 in the UK, VodafoneZiggo in The Netherlands, Telenet in Belgium, and Virgin Media in Ireland. With our substantial scale and commitment to innovation, we are building Tomorrow's Connections Today, investing in the infrastructure and platforms that empower our customers to make the most of the digital revolution, while deploying the advanced technologies that nations and economies need to thrive. Liberty Growth invests, grows and rotates capital into scalable businesses across the technology, media/content, sports and infrastructure industries with a portfolio of approximately 70 companies and various funds, including stakes in companies like ITV, Televisa Univision, Plume, EdgeConneX and AtlasEdge, as well as our controlling interest in the Formula E racing series. Liberty Services delivers innovative technology and finance services, generating approximately $600 million in revenue. Our scale enables us to transfer knowledge and expertise across our operations and investments, creating a dynamic family of brands united in the pursuit of innovation and excellence, with a commitment to building a culture where everyone feels they belong. And we're prioritizing diversity, equity and inclusion in our workplace and communities, while reducing our impact on the environment. We are using technology as a force for good; for our people, our partners and the planet. OUR FUTURE OUTLOOK IS EXCITING, TOGETHER Privacy Policy The data included in the candidate account (eg. your name, e mail address and CV; hereafter collectively "your data") will be processed by Liberty Global as the Controller for the purposes of candidate selection, placement and employment. Your data can also be shared with Liberty Global plc and/or its majority owned subsidiaries (collectively, the "Liberty Global Group" . click apply for full job details
28/07/2026
Full time
Job Purpose As Senior Architect AI, you will be accountable for designing and overseeing the end-to-end AI platform architecture that powers Liberty Global's telecommunications services across our 85 million subscriber base. You'll bridge technical excellence with business value, ensuring AI solutions integrate seamlessly with our telecommunications infrastructure while meeting operational, budget, and performance requirements. This role requires deep technical expertise combined with strong communication skills to work effectively with both engineering teams and business stakeholders, translating complex technical concepts into actionable recommendations that drive business outcomes. Key Responsibilities End-to-End AI Architecture Design & Ownership Design and maintain comprehensive AI platform architecture spanning data pipelines, model development, infrastructure, deployment frameworks, and integration with both on Prem and cloud platforms and applications. Own the technical vision for AI platform evolution, ensuring architecture supports current and future business requirements, context & process across customer experience, AI innovation, and operational efficiency use cases Define architectural standards, design patterns, and technology selection criteria that enable scalable, reliable AI implementations across multiple European markets & ventures Ensure architectural decisions consider operational requirements, budget constraints, and business priorities while maintaining technical excellence Platform Integration & Technical Accountability Take accountability for AI platform integration with Liberty Global's core telecommunications infrastructure & ventures, ensuring seamless data flow and system reliability Design integration patterns and API strategies that connect AI services with existing platforms while maintaining security, performance, and data quality standards Collaborate with enterprise architects and engineering teams to ensure AI solutions align with overall technology architecture and infrastructure capabilities Establish output goals, monitoring, observability, and quality assurance practices for AI platform components, ensuring operational stability and performance targets are met Technical Guidance & Cross-Functional Collaboration Provide technical expertise and architectural guidance to engineering teams, data scientists, and product managers throughout the AI solution development lifecycle Work closely with business stakeholders to understand requirements, translate them into technical architectures, and communicate trade-offs, timelines, and resource needs clearly Review and approve technical designs, ensuring alignment with architectural standards and best practices while addressing scalability, security, and maintainability concerns Collaborate with operations teams on deployment strategies, capacity planning, and cost optimization for AI infrastructure and cloud resources Support comprehensive technical due diligence for potential acquisitions, investments, or partnerships Operational Excellence & Budget Considerations Contribute to budget planning and cost optimization discussions, providing recommendations on infrastructure investments, cloud resource allocation, and technology choices Design architectures that optimize operational efficiency through automation, resource utilization, and smart platform design while meeting performance requirements Support capacity planning and infrastructure scaling decisions based on usage patterns, performance metrics, and business growth projections Participate in vendor evaluations and technology assessments, providing technical recommendations that balance capability, cost, and operational impact Define, refine & optimise processes, frameworks & context to ensure right business outcomes Set Lifecycle management expectations and govern End of Existence models and components Define and validate business cases by establishing clear metrics, measurable outcomes, and ROI, ensuring solutions deliver tangible customer value and product impact Knowledge and Experience Essential: 8-10 years of experience in software architecture or technical lead roles with 4-5 years focused on AI/ML platforms and data-intensive systems Proven experience designing end-to-end architectures or processes for AI/ML systems in production environments supporting large user bases Understanding of IT platforms i.e., cloud platforms (AWS, Azure, GCP), containerization (Kubernetes, Docker), and MLOps frameworks and practices Understanding of the use of Waterfall vs Agile practices including use of Kanban, SAFE, etc Deep understanding of telecommunications systems and integration patterns with OSS/BSS, customer platforms, and network management systems Demonstrated ability to work effectively with both technical teams and business stakeholders, translating between technical and business language Proficiency in AI/ML technologies including model training platforms, deployment frameworks, data pipelines, and monitoring tools Experience with distributed systems design, API architecture, and microservices patterns for building scalable platforms Strong knowledge of database technologies, data warehousing, streaming platforms (Kafka, Pulsar), and big data processing frameworks Excellent communication and presentation skills for explaining complex technical concepts to non-technical audiences and business stakeholders including use of deep data analysis Understanding of budget planning, cost modelling, and operational considerations for large-scale technology platforms & businesses Ability to source, process, and analyse complex datasets to generate actionable insights that inform business and product decisions Understanding of budget planning, cost modelling, and operational considerations for large-scale technology platforms & businesses Ability to source, process, and analyse complex datasets to generate actionable insights that inform business and product decisions Desirable: Hands-on coding and prototyping experience in AI/ML development (Python, TensorFlow, PyTorch) Experience with proof-of-concept development and technical validation of new AI technologies Background in data science or machine learning engineering with an understanding of model development workflows Practical experience with infrastructure-as-code and DevOps practices for AI platforms Knowledge of data management M&A due diligence Preferred education/qualifications: Experience in telecommunications, cable, or network infrastructure industries with understanding of subscriber analytics and operational systems Bachelor's or Master's degree in Computer Science, Engineering, Telecommunications, or related technical field Background in hands-on development with Python, Java, or similar languages (nice to have but not required for day-to-day work) Knowledge of AI ethics, responsible AI practices, and regulatory requirements relevant to European telecommunications markets or relevant knowledge gained from operations Experience with architectural frameworks and documentation practices for enterprise-scale systems Our Story We're building Tomorrow's Connections Today. Liberty Global is a leading international converged connectivity and investment company focused on creating sustainable, long-term value for customers, employees and shareholders through the strategic management of three platforms - Liberty Telecom, Liberty Growth and Liberty Services. Liberty Telecom is a world leader in converged broadband, video and mobile communications services, delivering next-generation products through advanced fibre and 5G networks. It currently provides approximately 80 million connections through some of Europe's best-known consumer brands, including Virgin Media-O2 in the UK, VodafoneZiggo in The Netherlands, Telenet in Belgium, and Virgin Media in Ireland. With our substantial scale and commitment to innovation, we are building Tomorrow's Connections Today, investing in the infrastructure and platforms that empower our customers to make the most of the digital revolution, while deploying the advanced technologies that nations and economies need to thrive. Liberty Growth invests, grows and rotates capital into scalable businesses across the technology, media/content, sports and infrastructure industries with a portfolio of approximately 70 companies and various funds, including stakes in companies like ITV, Televisa Univision, Plume, EdgeConneX and AtlasEdge, as well as our controlling interest in the Formula E racing series. Liberty Services delivers innovative technology and finance services, generating approximately $600 million in revenue. Our scale enables us to transfer knowledge and expertise across our operations and investments, creating a dynamic family of brands united in the pursuit of innovation and excellence, with a commitment to building a culture where everyone feels they belong. And we're prioritizing diversity, equity and inclusion in our workplace and communities, while reducing our impact on the environment. We are using technology as a force for good; for our people, our partners and the planet. OUR FUTURE OUTLOOK IS EXCITING, TOGETHER Privacy Policy The data included in the candidate account (eg. your name, e mail address and CV; hereafter collectively "your data") will be processed by Liberty Global as the Controller for the purposes of candidate selection, placement and employment. Your data can also be shared with Liberty Global plc and/or its majority owned subsidiaries (collectively, the "Liberty Global Group" . click apply for full job details
Senior Data Scientist Welwyn Garden City, Hertfordshire or Slough, Berkshire | Hybrid (2 Days Office) | Python | SQL | PySpark | Azure | Databricks | Machine Learning | Statistics | Time Series Forecasting | Propensity Models Role: Senior Data Scientist, Lead Data Scientist, ML Scientist, AI Data Scientist, Statistical Data Scientist, Predictive Analytics Key Skills: Senior Data Scientist, Data Scientist, Machine Learning, Artificial Intelligence, Predictive Analytics, Statistical Modelling, Python, SQL, PySpark, Azure, Databricks, MLflow, GitHub Actions, CI/CD, Time Series Forecasting, Propensity Modelling, Feature Engineering, Data Engineering, Azure Machine Learning, Azure Data Platform, Experiment Design, A/B Testing, Hypothesis Testing, Predictive Modelling, Customer Analytics, Marketing Analytics, Customer Lifetime Value, Churn Prediction, Demand Forecasting, Stock Forecasting, Production Machine Learning, Cloud Data Platforms, Data Products, Git, Version Control, MLOps, Data Pipelines. Location: Hybrid role. 2 days per week in office Either: Welwyn Garden City, Hertfordshire or Slough, Berkshire Type: Permanent | Full-Time Overview: is recruiting for an experienced Senior Data Scientist to join one of the UK's most advanced Data Science teams, helping shape the future of customer analytics through cutting-edge machine learning, statistical modelling & cloud-based AI solutions. This is a great opportunity for an experienced Data Scientist who enjoys solving complex commercial problems using advanced analytics, statistical modelling & machine learning techniques, whilst delivering production-ready data science solutions that directly influence customer experience & business performance. This position offers exposure to large-scale customer datasets, advanced Azure-based technologies & highly collaborative multidisciplinary teams consisting of Data Scientists, Data Engineers & Data Analysts. Purpose: Design, develop & deploy enterprise-scale data science solutions that improve customer outcomes, enhance commercial performance & support strategic business decision making. Own the complete analytical life cycle, from initial problem definition & exploratory analysis through feature engineering, model development, deployment, operational monitoring & continuous optimisation. Build sophisticated statistical & machine learning models covering areas such as: * Customer Lifetime Value * Customer Propensity Modelling * Customer Churn Prediction * Marketing Optimisation * Personalisation * Time Series Forecasting * Stock Forecasting * Demand Planning * Customer Behaviour Analytics * Decision Intelligence Technology Stack: Programming * Python * SQL * PySpark Cloud & Platforms * Microsoft Azure * Azure Databricks * Azure Machine Learning Machine Learning & AI * Statistical Modelling * Predictive Analytics * Feature Engineering * Propensity Modelling * Time Series Forecasting * MLflow * PyTorch Data Engineering * Data Pipelines * Graph Databases DevOps & Development * GitHub * GitHub Actions * CI/CD * Version Control Core Activity: * Deliver end-to-end data science solutions from concept to production * Build machine learning models that improve customer & business outcomes * Apply statistical techniques to solve complex business problems * Develop propensity & predictive models for customer decisioning * Design & optimise time series forecasting models * Build scalable data pipelines & production-ready analytics * Collaborate with cross-functional teams to deliver business value * Monitor, maintain & continuously improve deployed models * Present analytical insights to technical & business stakeholders * Promote best practice in data science & software engineering Responsibilities: * Take ownership of the complete data science life cycle, including problem definition, exploratory data analysis, feature engineering, model development, validation, deployment & ongoing optimisation. * Design & execute statistically rigorous analytical approaches, including hypothesis testing, experimental design, uncertainty measurement & business impact assessment. * Develop sophisticated propensity models to support customer targeting, customer engagement, personalisation & commercial decision making. * Build highly accurate time series forecasting models covering both customer demand & stock forecasting, continuously improving forecast performance through back-testing & model refinement. * Develop scalable, production-ready machine learning solutions using Python, SQL & PySpark within Azure Databricks. * Build, optimise & maintain robust data pipelines using software engineering best practices, including automated testing, documentation, version control & reproducibility. * Work closely with stakeholders to understand business challenges, define measurable success criteria & translate analytical outputs into commercially valuable recommendations. * Monitor model performance, identify opportunities for optimisation & continuously improve deployed solutions. * Conduct peer reviews of analytical code & statistical models, helping to raise technical standards across the wider Data Science function. * Promote best practice in machine learning, statistical modelling, software engineering & cloud-based analytics delivery. Deliverables: * Production-ready machine learning models * Customer propensity models * Time series forecasting solutions * Actionable business insights * Scalable, secure machine learning code * Azure-based data pipelines * Stakeholder reports & recommendations * Optimised model performance * Well-documented analytical solutions * Successful cross-functional delivery Working Environment: * Hybrid Working * Agile Delivery * Azure Cloud Platform * Azure Databricks * Cross-Functional Product Squads * Enterprise Data Science * Large-Scale Data Environment * CI/CD & DevOps * Continuous Learning & Innovation Candidate Profile: Candidates should possess experience as a Senior Data Scientist with strong analytical skills, commercial awareness & a passion for solving complex business problems. You'll have a proven track record of delivering end-to-end data science solutions, from problem definition through to production deployment, using advanced statistics, machine learning & cloud technologies. You'll be confident working with both structured & time series data, building scalable models that deliver measurable business value. Your experience is likely to include some of the following: Essential: * End-to-end data science delivery * Statistical modelling & hypothesis testing * Machine learning & predictive analytics * Propensity modelling * Time series forecasting * Python * SQL * PySpark * Microsoft Azure Cloud * Azure Databricks * Feature engineering * Production ML deployment * Version control & automated testing * Data integration & modelling * Stakeholder management * Agile delivery experience Desirable: * MLflow * PyTorch * Databricks Asset Bundles * Graph Databases * Azure Machine Learning * GitHub Actions * CI/CD * MLOps * Marketing Analytics * Customer Lifetime Value (CLV) * Churn Prediction * Retail Analytics * Customer Personalisation * Decision Intelligence Key Traits: * Curious & analytical * Commercially minded * Customer focused * Strong statistical thinking * Detail orientated * Excellent communicator * Adaptable & delivery focused : uniting opportunity with ambition in Telecoms | Media | Technology is the brand name of MECS Communications Ltd who provide permanent & contract recruitment consultancy service as an Employment Agency & Employment Business.
28/07/2026
Full time
Senior Data Scientist Welwyn Garden City, Hertfordshire or Slough, Berkshire | Hybrid (2 Days Office) | Python | SQL | PySpark | Azure | Databricks | Machine Learning | Statistics | Time Series Forecasting | Propensity Models Role: Senior Data Scientist, Lead Data Scientist, ML Scientist, AI Data Scientist, Statistical Data Scientist, Predictive Analytics Key Skills: Senior Data Scientist, Data Scientist, Machine Learning, Artificial Intelligence, Predictive Analytics, Statistical Modelling, Python, SQL, PySpark, Azure, Databricks, MLflow, GitHub Actions, CI/CD, Time Series Forecasting, Propensity Modelling, Feature Engineering, Data Engineering, Azure Machine Learning, Azure Data Platform, Experiment Design, A/B Testing, Hypothesis Testing, Predictive Modelling, Customer Analytics, Marketing Analytics, Customer Lifetime Value, Churn Prediction, Demand Forecasting, Stock Forecasting, Production Machine Learning, Cloud Data Platforms, Data Products, Git, Version Control, MLOps, Data Pipelines. Location: Hybrid role. 2 days per week in office Either: Welwyn Garden City, Hertfordshire or Slough, Berkshire Type: Permanent | Full-Time Overview: is recruiting for an experienced Senior Data Scientist to join one of the UK's most advanced Data Science teams, helping shape the future of customer analytics through cutting-edge machine learning, statistical modelling & cloud-based AI solutions. This is a great opportunity for an experienced Data Scientist who enjoys solving complex commercial problems using advanced analytics, statistical modelling & machine learning techniques, whilst delivering production-ready data science solutions that directly influence customer experience & business performance. This position offers exposure to large-scale customer datasets, advanced Azure-based technologies & highly collaborative multidisciplinary teams consisting of Data Scientists, Data Engineers & Data Analysts. Purpose: Design, develop & deploy enterprise-scale data science solutions that improve customer outcomes, enhance commercial performance & support strategic business decision making. Own the complete analytical life cycle, from initial problem definition & exploratory analysis through feature engineering, model development, deployment, operational monitoring & continuous optimisation. Build sophisticated statistical & machine learning models covering areas such as: * Customer Lifetime Value * Customer Propensity Modelling * Customer Churn Prediction * Marketing Optimisation * Personalisation * Time Series Forecasting * Stock Forecasting * Demand Planning * Customer Behaviour Analytics * Decision Intelligence Technology Stack: Programming * Python * SQL * PySpark Cloud & Platforms * Microsoft Azure * Azure Databricks * Azure Machine Learning Machine Learning & AI * Statistical Modelling * Predictive Analytics * Feature Engineering * Propensity Modelling * Time Series Forecasting * MLflow * PyTorch Data Engineering * Data Pipelines * Graph Databases DevOps & Development * GitHub * GitHub Actions * CI/CD * Version Control Core Activity: * Deliver end-to-end data science solutions from concept to production * Build machine learning models that improve customer & business outcomes * Apply statistical techniques to solve complex business problems * Develop propensity & predictive models for customer decisioning * Design & optimise time series forecasting models * Build scalable data pipelines & production-ready analytics * Collaborate with cross-functional teams to deliver business value * Monitor, maintain & continuously improve deployed models * Present analytical insights to technical & business stakeholders * Promote best practice in data science & software engineering Responsibilities: * Take ownership of the complete data science life cycle, including problem definition, exploratory data analysis, feature engineering, model development, validation, deployment & ongoing optimisation. * Design & execute statistically rigorous analytical approaches, including hypothesis testing, experimental design, uncertainty measurement & business impact assessment. * Develop sophisticated propensity models to support customer targeting, customer engagement, personalisation & commercial decision making. * Build highly accurate time series forecasting models covering both customer demand & stock forecasting, continuously improving forecast performance through back-testing & model refinement. * Develop scalable, production-ready machine learning solutions using Python, SQL & PySpark within Azure Databricks. * Build, optimise & maintain robust data pipelines using software engineering best practices, including automated testing, documentation, version control & reproducibility. * Work closely with stakeholders to understand business challenges, define measurable success criteria & translate analytical outputs into commercially valuable recommendations. * Monitor model performance, identify opportunities for optimisation & continuously improve deployed solutions. * Conduct peer reviews of analytical code & statistical models, helping to raise technical standards across the wider Data Science function. * Promote best practice in machine learning, statistical modelling, software engineering & cloud-based analytics delivery. Deliverables: * Production-ready machine learning models * Customer propensity models * Time series forecasting solutions * Actionable business insights * Scalable, secure machine learning code * Azure-based data pipelines * Stakeholder reports & recommendations * Optimised model performance * Well-documented analytical solutions * Successful cross-functional delivery Working Environment: * Hybrid Working * Agile Delivery * Azure Cloud Platform * Azure Databricks * Cross-Functional Product Squads * Enterprise Data Science * Large-Scale Data Environment * CI/CD & DevOps * Continuous Learning & Innovation Candidate Profile: Candidates should possess experience as a Senior Data Scientist with strong analytical skills, commercial awareness & a passion for solving complex business problems. You'll have a proven track record of delivering end-to-end data science solutions, from problem definition through to production deployment, using advanced statistics, machine learning & cloud technologies. You'll be confident working with both structured & time series data, building scalable models that deliver measurable business value. Your experience is likely to include some of the following: Essential: * End-to-end data science delivery * Statistical modelling & hypothesis testing * Machine learning & predictive analytics * Propensity modelling * Time series forecasting * Python * SQL * PySpark * Microsoft Azure Cloud * Azure Databricks * Feature engineering * Production ML deployment * Version control & automated testing * Data integration & modelling * Stakeholder management * Agile delivery experience Desirable: * MLflow * PyTorch * Databricks Asset Bundles * Graph Databases * Azure Machine Learning * GitHub Actions * CI/CD * MLOps * Marketing Analytics * Customer Lifetime Value (CLV) * Churn Prediction * Retail Analytics * Customer Personalisation * Decision Intelligence Key Traits: * Curious & analytical * Commercially minded * Customer focused * Strong statistical thinking * Detail orientated * Excellent communicator * Adaptable & delivery focused : uniting opportunity with ambition in Telecoms | Media | Technology is the brand name of MECS Communications Ltd who provide permanent & contract recruitment consultancy service as an Employment Agency & Employment Business.
Data Scientist Mid Level Role type: Full time Location: Greece (fully remote) Preferred start date: ASAP About Satalia Satalia builds enterprise grade AI systems for WPP and its FTSE 100 client base. Led by WPP Chief AI Officer Daniel Hulme, we run as a high autonomy, decentralised organisation where engineers and scientists own their domains end to end. We are building AI systems that operate on terabyte scale multimodal datasets to power the next generation of marketing intelligence. The Role Agentic pipelines - multi step LLM systems with tool use, planning, and self evaluation that automate complex marketing workflows end to end. Domain adapted foundation models - fine tuning open weight LLMs (LoRA, RLHF, distillation) on proprietary WPP data for tasks like audience segmentation, creative scoring, and brand safety classification. Retrieval augmented generation - production RAG systems over large proprietary corpora (embedding models, vector indices, re ranking) that serve real time answers to client queries. Classical ML at scale - gradient boosted models, causal inference pipelines, and recommendation engines that run alongside LLM components in hybrid architectures. You will work as part of an experienced team contributing directly to one or more of these workstreams. You'll have real ownership of your work - building models, running experiments, and shipping code to production - with guidance from senior scientists who will help you grow technically. What You'll Do Build and iterate on ML models - from data exploration and feature engineering through training, evaluation, and deployment. Implement and maintain components of production ML pipelines: data pre processing, model serving, monitoring, and retraining workflows. Contribute to LLM powered systems - building prompt chains, evaluation harnesses, RAG pipelines, or fine tuning workflows. Analyse large multimodal datasets (text, image, video, structured metadata) to extract features and insights that feed downstream models. Write clean, tested, production quality Python code - not just notebooks. Participate in code reviews, design discussions, and experiment retrospectives. What We're Looking For 2-4 years of experience building ML models, with at least some of that work deployed to production. Solid fundamentals in machine learning: understand bias variance trade offs, cross validation, regularisation, and can reason about why a model is underperforming. Working proficiency in Python and comfort with core ML libraries. Exposure to at least one of: NLP/LLMs, computer vision, recommender systems, or time series modelling. Strong experience with software engineering practices - Git, testing, CI/CD, code review. Curiosity about LLMs and modern AI tooling. Clear communication - you can explain your modelling choices and results to both technical and non technical colleagues. Nice to Have Experience with LLM fine tuning, prompt engineering, or RAG systems. Familiarity with cloud infrastructure (AWS/GCP), Docker, and orchestration tools. Background in marketing technology, ad tech, or audience modelling. A relevant MSc or PhD, or equivalent depth from self directed learning and project work. What we Offer Benefits healthcare; Remote working - café, bedroom, beach - wherever works; Truly flexible working hours - school pick up, volunteering, gym; Generous Leave - holidays in line with Greek Law, plus bank holidays and enhanced family leave; Impactful projects - focus on bringing meaningful social and environmental change; People oriented culture - wellbeing is a priority, as is being a nice person; Transparent and open culture - you will be heard; Development - focus on bringing the best out of each other;
28/07/2026
Full time
Data Scientist Mid Level Role type: Full time Location: Greece (fully remote) Preferred start date: ASAP About Satalia Satalia builds enterprise grade AI systems for WPP and its FTSE 100 client base. Led by WPP Chief AI Officer Daniel Hulme, we run as a high autonomy, decentralised organisation where engineers and scientists own their domains end to end. We are building AI systems that operate on terabyte scale multimodal datasets to power the next generation of marketing intelligence. The Role Agentic pipelines - multi step LLM systems with tool use, planning, and self evaluation that automate complex marketing workflows end to end. Domain adapted foundation models - fine tuning open weight LLMs (LoRA, RLHF, distillation) on proprietary WPP data for tasks like audience segmentation, creative scoring, and brand safety classification. Retrieval augmented generation - production RAG systems over large proprietary corpora (embedding models, vector indices, re ranking) that serve real time answers to client queries. Classical ML at scale - gradient boosted models, causal inference pipelines, and recommendation engines that run alongside LLM components in hybrid architectures. You will work as part of an experienced team contributing directly to one or more of these workstreams. You'll have real ownership of your work - building models, running experiments, and shipping code to production - with guidance from senior scientists who will help you grow technically. What You'll Do Build and iterate on ML models - from data exploration and feature engineering through training, evaluation, and deployment. Implement and maintain components of production ML pipelines: data pre processing, model serving, monitoring, and retraining workflows. Contribute to LLM powered systems - building prompt chains, evaluation harnesses, RAG pipelines, or fine tuning workflows. Analyse large multimodal datasets (text, image, video, structured metadata) to extract features and insights that feed downstream models. Write clean, tested, production quality Python code - not just notebooks. Participate in code reviews, design discussions, and experiment retrospectives. What We're Looking For 2-4 years of experience building ML models, with at least some of that work deployed to production. Solid fundamentals in machine learning: understand bias variance trade offs, cross validation, regularisation, and can reason about why a model is underperforming. Working proficiency in Python and comfort with core ML libraries. Exposure to at least one of: NLP/LLMs, computer vision, recommender systems, or time series modelling. Strong experience with software engineering practices - Git, testing, CI/CD, code review. Curiosity about LLMs and modern AI tooling. Clear communication - you can explain your modelling choices and results to both technical and non technical colleagues. Nice to Have Experience with LLM fine tuning, prompt engineering, or RAG systems. Familiarity with cloud infrastructure (AWS/GCP), Docker, and orchestration tools. Background in marketing technology, ad tech, or audience modelling. A relevant MSc or PhD, or equivalent depth from self directed learning and project work. What we Offer Benefits healthcare; Remote working - café, bedroom, beach - wherever works; Truly flexible working hours - school pick up, volunteering, gym; Generous Leave - holidays in line with Greek Law, plus bank holidays and enhanced family leave; Impactful projects - focus on bringing meaningful social and environmental change; People oriented culture - wellbeing is a priority, as is being a nice person; Transparent and open culture - you will be heard; Development - focus on bringing the best out of each other;
About easyJet We are easyJet - a FTSE 100 listed, multi billion pound low cost airline that serves tens of millions of customers each year. We fly across 1,207 routes in 38 European countries and employ more than 18,000 colleagues. Our mission is to make low cost travel easy, delivering a network of reliable flights, competitive fares and friendly service. Position Overview Senior Data Scientist (ID 16975) We are looking for a senior data science professional who can own high impact projects from concept through deployment and monitoring. The role requires strong stakeholder engagement, technical depth and the ability to translate complex analysis into clear business outcomes. The Team The Data Science team sits at the centre of smarter decision making across the business, partnering with operations, technology and commercial teams to solve complex challenges and enhance customer experience. Key Responsibilities Lead end to end delivery of data science projects, from problem definition and modelling to production implementation and monitoring. Analyse complex, multi source datasets to answer strategic business questions and uncover improvement opportunities. Develop, validate and deploy predictive, simulation and optimisation models to support business performance. Translate technical findings into clear, actionable recommendations for both technical and non technical audiences. Collaborate with cross functional teams in a product led environment to support operational and technology transformation initiatives. Mentor junior data scientists, providing coaching, technical guidance and knowledge sharing. Contribute to best practice development and strengthen data science capability across the organisation. Stay up to date with emerging tools, technologies and methodologies, evaluating opportunities for business application. Qualifications Degree or MSc in Statistics, Mathematics, Computer Science, Engineering or a related scientific discipline. Significant commercial experience in data science roles with demonstrable progression. Strong technical knowledge in programming, machine learning, data preparation, visualisation and predictive analytics. Experience with optimisation, simulation or other advanced analytical techniques. Delivered data science solutions within operational, logistics, manufacturing or similarly complex business environments. Proven ability to independently manage projects, prioritise competing demands and deliver results in fast paced environments. Excellent stakeholder management and communication skills, confident presenting technical concepts to non technical audiences. Experience working alongside Product Owners, Software Engineers and cross functional teams. Strong commercial awareness and a pragmatic approach to solving business problems. Passion for mentoring, collaboration and building analytical capability within teams. Benefits Up to 20% maximum bonus. Private Medical Insurance (PMI). 7% pension contributions. Excellent staff travel benefits. 25 days of annual leave plus bank holidays. Annual credit towards an easyJet holiday. Various flexible benefits and extras. Reasonable Adjustments At easyJet, we are dedicated to fostering an inclusive workplace that reflects the diverse customers we serve across Europe. We welcome candidates from all backgrounds. If you require specific adjustments or support during the application or recruitment process, such as extra time for assessments or accessible interview locations, please contact us at . We are committed to providing reasonable adjustments throughout the recruitment process to ensure accessibility and accommodation.
28/07/2026
Full time
About easyJet We are easyJet - a FTSE 100 listed, multi billion pound low cost airline that serves tens of millions of customers each year. We fly across 1,207 routes in 38 European countries and employ more than 18,000 colleagues. Our mission is to make low cost travel easy, delivering a network of reliable flights, competitive fares and friendly service. Position Overview Senior Data Scientist (ID 16975) We are looking for a senior data science professional who can own high impact projects from concept through deployment and monitoring. The role requires strong stakeholder engagement, technical depth and the ability to translate complex analysis into clear business outcomes. The Team The Data Science team sits at the centre of smarter decision making across the business, partnering with operations, technology and commercial teams to solve complex challenges and enhance customer experience. Key Responsibilities Lead end to end delivery of data science projects, from problem definition and modelling to production implementation and monitoring. Analyse complex, multi source datasets to answer strategic business questions and uncover improvement opportunities. Develop, validate and deploy predictive, simulation and optimisation models to support business performance. Translate technical findings into clear, actionable recommendations for both technical and non technical audiences. Collaborate with cross functional teams in a product led environment to support operational and technology transformation initiatives. Mentor junior data scientists, providing coaching, technical guidance and knowledge sharing. Contribute to best practice development and strengthen data science capability across the organisation. Stay up to date with emerging tools, technologies and methodologies, evaluating opportunities for business application. Qualifications Degree or MSc in Statistics, Mathematics, Computer Science, Engineering or a related scientific discipline. Significant commercial experience in data science roles with demonstrable progression. Strong technical knowledge in programming, machine learning, data preparation, visualisation and predictive analytics. Experience with optimisation, simulation or other advanced analytical techniques. Delivered data science solutions within operational, logistics, manufacturing or similarly complex business environments. Proven ability to independently manage projects, prioritise competing demands and deliver results in fast paced environments. Excellent stakeholder management and communication skills, confident presenting technical concepts to non technical audiences. Experience working alongside Product Owners, Software Engineers and cross functional teams. Strong commercial awareness and a pragmatic approach to solving business problems. Passion for mentoring, collaboration and building analytical capability within teams. Benefits Up to 20% maximum bonus. Private Medical Insurance (PMI). 7% pension contributions. Excellent staff travel benefits. 25 days of annual leave plus bank holidays. Annual credit towards an easyJet holiday. Various flexible benefits and extras. Reasonable Adjustments At easyJet, we are dedicated to fostering an inclusive workplace that reflects the diverse customers we serve across Europe. We welcome candidates from all backgrounds. If you require specific adjustments or support during the application or recruitment process, such as extra time for assessments or accessible interview locations, please contact us at . We are committed to providing reasonable adjustments throughout the recruitment process to ensure accessibility and accommodation.
Senior Product Owner Location: Cardiff (Hybrid) Salary: 65,000 - 80,000 + Bonus CPS Group are working with a financial technology organisation that is investing heavily in its product function as it continues to expand across multiple markets. This is an great opportunity to play a key role in shaping the future of a market-leading SaaS platform, working on greenfield initiatives alongside the ongoing evolution of established products. This is a senior position offering genuine autonomy, strategic influence, and the opportunity to work with modern technologies, AI-driven innovation, and cross-functional teams to deliver products that have real business impact. The Role As a Senior Product Owner, you'll own one or more complex software products, defining product strategy, prioritising delivery, and ensuring your roadmap delivers measurable value to customers. Working closely with Engineering, Technology, QA, Professional Services and senior business stakeholders, you'll drive product direction, manage competing priorities, and translate complex business challenges into clear, deliverable solutions. You'll also help shape wider product strategy, mentor Product Owners within the team, and champion best practice across product discovery, backlog management and Agile delivery. Key Responsibilities Own the vision, roadmap and delivery of complex SaaS products. Define priorities and make strategic product decisions that deliver measurable business value. Lead product discovery and backlog management within an Agile/Scrum environment. Translate complex business requirements into clear user stories and product outcomes. Collaborate with Engineering, QA and Delivery teams throughout the development lifecycle. Build strong relationships with internal and external stakeholders, influencing at all levels. Analyse product performance using metrics and customer feedback to drive continuous improvement. Identify opportunities to leverage AI, automation and data-driven solutions to improve products and user experience. Mentor and support other Product Owners, helping raise standards across the wider product team. About You We're looking for someone who has: Significant experience as a Product Owner within Financial Services, FinTech or another highly regulated software environment. Strong knowledge of lending, credit, loan origination, onboarding or loan servicing platforms. Experience owning complex SaaS products across multiple customers or markets. Excellent stakeholder management skills with the confidence to influence senior business leaders. A proven track record of delivering large-scale software projects in Agile environments. Strong experience using tools such as Jira, Confluence, Azure DevOps or similar. The ability to balance strategic thinking with hands-on product ownership. Experience mentoring or coaching other Product Owners would be highly advantageous. Desirable Experience delivering products across multiple countries or regulatory environments. Exposure to AI or Machine Learning within software products. Strong understanding of product analytics, KPIs and outcome-based product development. Technical awareness of software architecture and modern SaaS platforms. Contact: Zach Bennett - CPS Group By applying to this advert you are giving CPS Group (UK) Ltd authority to hold and process your data for this specific role and any other roles we may deem suitable to you over time. We will not pass your data to any third party without your verbal or written permission to do so. All incoming and outgoing calls are recorded for training and compliance purposes. CPS Group (UK) Ltd is acting as an Employment Agency in relation to this vacancy. Our new privacy policy can be found here (url removed)
28/07/2026
Full time
Senior Product Owner Location: Cardiff (Hybrid) Salary: 65,000 - 80,000 + Bonus CPS Group are working with a financial technology organisation that is investing heavily in its product function as it continues to expand across multiple markets. This is an great opportunity to play a key role in shaping the future of a market-leading SaaS platform, working on greenfield initiatives alongside the ongoing evolution of established products. This is a senior position offering genuine autonomy, strategic influence, and the opportunity to work with modern technologies, AI-driven innovation, and cross-functional teams to deliver products that have real business impact. The Role As a Senior Product Owner, you'll own one or more complex software products, defining product strategy, prioritising delivery, and ensuring your roadmap delivers measurable value to customers. Working closely with Engineering, Technology, QA, Professional Services and senior business stakeholders, you'll drive product direction, manage competing priorities, and translate complex business challenges into clear, deliverable solutions. You'll also help shape wider product strategy, mentor Product Owners within the team, and champion best practice across product discovery, backlog management and Agile delivery. Key Responsibilities Own the vision, roadmap and delivery of complex SaaS products. Define priorities and make strategic product decisions that deliver measurable business value. Lead product discovery and backlog management within an Agile/Scrum environment. Translate complex business requirements into clear user stories and product outcomes. Collaborate with Engineering, QA and Delivery teams throughout the development lifecycle. Build strong relationships with internal and external stakeholders, influencing at all levels. Analyse product performance using metrics and customer feedback to drive continuous improvement. Identify opportunities to leverage AI, automation and data-driven solutions to improve products and user experience. Mentor and support other Product Owners, helping raise standards across the wider product team. About You We're looking for someone who has: Significant experience as a Product Owner within Financial Services, FinTech or another highly regulated software environment. Strong knowledge of lending, credit, loan origination, onboarding or loan servicing platforms. Experience owning complex SaaS products across multiple customers or markets. Excellent stakeholder management skills with the confidence to influence senior business leaders. A proven track record of delivering large-scale software projects in Agile environments. Strong experience using tools such as Jira, Confluence, Azure DevOps or similar. The ability to balance strategic thinking with hands-on product ownership. Experience mentoring or coaching other Product Owners would be highly advantageous. Desirable Experience delivering products across multiple countries or regulatory environments. Exposure to AI or Machine Learning within software products. Strong understanding of product analytics, KPIs and outcome-based product development. Technical awareness of software architecture and modern SaaS platforms. Contact: Zach Bennett - CPS Group By applying to this advert you are giving CPS Group (UK) Ltd authority to hold and process your data for this specific role and any other roles we may deem suitable to you over time. We will not pass your data to any third party without your verbal or written permission to do so. All incoming and outgoing calls are recorded for training and compliance purposes. CPS Group (UK) Ltd is acting as an Employment Agency in relation to this vacancy. Our new privacy policy can be found here (url removed)
Senior Solution Architect - AI & Automation Remote - UK Up to £80,000 VIQU are partnering with a leading enterprise organisation embarking on a large-scale AI and automation transformation, investing heavily in intelligent technologies to enhance operational efficiency and drive innovation across the business. They are looking for a Senior Solution Architect - AI & Automation to lead the design of enterprise-scale AI, automation, and workflow solutions, working closely with business stakeholders, architecture teams, and engineering functions to deliver secure, scalable, and future-focused technology solutions. Key Responsibilities of the Senior Solution Architect - AI & Automation: Lead the design of enterprise AI, Generative AI, and intelligent automation solutions, ensuring alignment with business strategy and architectural standards Define end-to-end solution architectures across AI, automation, cloud, and enterprise platforms Work closely with business stakeholders, product owners, and technical teams to translate business requirements into scalable technical solutions Design integration strategies across complex enterprise environments using APIs, microservices, messaging, and cloud-native technologies Provide architectural oversight throughout project delivery, supporting engineering teams to ensure successful implementation Produce and maintain architecture documentation, standards, and solution artefacts using Enterprise Architecture tools Ensure solutions meet security, governance, compliance, resilience, and scalability requirements Contribute to technology roadmaps, architecture standards, and the ongoing adoption of emerging AI and automation technologies Mentor Solution Architects and provide technical leadership across the wider architecture function Key Experience Required of the Senior Solution Architect - AI & Automation: Proven experience as a Solution Architect, Software Architect, or similar role designing enterprise-scale AI, Generative AI, and intelligent automation solutions Strong experience architecting cloud-based solutions across Microsoft Azure, AWS, or Google Cloud platforms Extensive experience working with Microsoft technologies, including 3-5 years' hands-on experience with the Microsoft Power Platform (Power Automate, Power Apps, and Power Pages) Strong understanding of Machine Learning, Generative AI, MLOps, DevOps, and the delivery of scalable AI solutions Knowledge of enterprise integration technologies including APIs, microservices, JSON, XML, messaging solutions, ESB, and SOA Experience working with Enterprise Architecture frameworks such as TOGAF and Enterprise Architecture tooling Strong understanding of Agile delivery methodologies, including Scrum, backlog management, Epics, and User Stories Knowledge of database technologies including SQL and NoSQL, alongside modern data management best practices Excellent stakeholder management and communication skills, with the ability to influence both technical and non-technical audiences Microsoft Solutions Architect certification is desirable, although AWS Solutions Architect certification will also be considered Apply now to speak with VIQU IT in confidence, or reach out to Katie Dark via the VIQU IT website. Do you know someone great? We'll thank you with up to £1,000 if your referral is successful (terms apply). For more exciting roles and opportunities like this, please follow us on IT Recruitment. Senior Solution Architect - AI & Automation Remote - UK Up to £80,000
28/07/2026
Full time
Senior Solution Architect - AI & Automation Remote - UK Up to £80,000 VIQU are partnering with a leading enterprise organisation embarking on a large-scale AI and automation transformation, investing heavily in intelligent technologies to enhance operational efficiency and drive innovation across the business. They are looking for a Senior Solution Architect - AI & Automation to lead the design of enterprise-scale AI, automation, and workflow solutions, working closely with business stakeholders, architecture teams, and engineering functions to deliver secure, scalable, and future-focused technology solutions. Key Responsibilities of the Senior Solution Architect - AI & Automation: Lead the design of enterprise AI, Generative AI, and intelligent automation solutions, ensuring alignment with business strategy and architectural standards Define end-to-end solution architectures across AI, automation, cloud, and enterprise platforms Work closely with business stakeholders, product owners, and technical teams to translate business requirements into scalable technical solutions Design integration strategies across complex enterprise environments using APIs, microservices, messaging, and cloud-native technologies Provide architectural oversight throughout project delivery, supporting engineering teams to ensure successful implementation Produce and maintain architecture documentation, standards, and solution artefacts using Enterprise Architecture tools Ensure solutions meet security, governance, compliance, resilience, and scalability requirements Contribute to technology roadmaps, architecture standards, and the ongoing adoption of emerging AI and automation technologies Mentor Solution Architects and provide technical leadership across the wider architecture function Key Experience Required of the Senior Solution Architect - AI & Automation: Proven experience as a Solution Architect, Software Architect, or similar role designing enterprise-scale AI, Generative AI, and intelligent automation solutions Strong experience architecting cloud-based solutions across Microsoft Azure, AWS, or Google Cloud platforms Extensive experience working with Microsoft technologies, including 3-5 years' hands-on experience with the Microsoft Power Platform (Power Automate, Power Apps, and Power Pages) Strong understanding of Machine Learning, Generative AI, MLOps, DevOps, and the delivery of scalable AI solutions Knowledge of enterprise integration technologies including APIs, microservices, JSON, XML, messaging solutions, ESB, and SOA Experience working with Enterprise Architecture frameworks such as TOGAF and Enterprise Architecture tooling Strong understanding of Agile delivery methodologies, including Scrum, backlog management, Epics, and User Stories Knowledge of database technologies including SQL and NoSQL, alongside modern data management best practices Excellent stakeholder management and communication skills, with the ability to influence both technical and non-technical audiences Microsoft Solutions Architect certification is desirable, although AWS Solutions Architect certification will also be considered Apply now to speak with VIQU IT in confidence, or reach out to Katie Dark via the VIQU IT website. Do you know someone great? We'll thank you with up to £1,000 if your referral is successful (terms apply). For more exciting roles and opportunities like this, please follow us on IT Recruitment. Senior Solution Architect - AI & Automation Remote - UK Up to £80,000
Join us to shape the future of AI-driven business operations. You will have the opportunity to create scalable, safe, and reliable agentic solutions that transform how we work. We value your expertise in building multi-agent systems and your passion for collaborating across teams. At our company, you can grow your career, expand your skills, and make a meaningful impact. Be part of a team that thrives on innovation and continuous improvement. As an AI Engineer in our Agentic AI Solutions team, you will design, build, and deploy autonomous and assistive AI agents that streamline complex workflows. You will collaborate with cross-functional partners to translate operational needs into robust multi-agent systems, leveraging advanced frameworks and technologies. Your work will directly impact our business by delivering scalable and reliable AI solutions. We foster a culture of innovation, learning, and teamwork, where your contributions are valued and your growth is supported. Job Responsibilities Architect, develop, and productionize autonomous and assistive AI agents to enhance operations. Design multi-agent systems, including role definition, tool integration, planning, memory, and workflow orchestration using modern agent frameworks. Implement Retrieval-Augmented Generation (RAG) pipelines and semantic search with vector databases, including indexing, retrieval policies, and evaluation. Build and integrate agent tools and APIs to connect agents with external services, databases, and internal systems, ensuring robust output parsing and error handling. Practice advanced prompt engineering and implement output validation and guardrails to reduce hallucinations. Design microservices-based architectures and orchestrate multi-step workflows; instrument agents for tracing, metrics, and feedback loops. Partner with stakeholders to define requirements, design intuitive human-AI interfaces, and deliver measurable business impact. Analyze data to inform agent capabilities, optimize retrieval, and drive data-driven decision-making; conduct A/B tests and performance evaluations. Mentor and guide team members on agent frameworks, LLM usage, safety, and best practices. Required Qualifications, Capabilities, and Skills Advanced degree in Computer Science, Data Science, Machine Learning, or related field. Experience building and deploying agentic AI applications in production environments. Expertise with ML frameworks such as PyTorch, TensorFlow, and scikit-learn. Proficiency in Python; experience writing comprehensive tests and building evaluation harnesses for agents and prompts. Hands on experience with agent frameworks such as LangChain, CrewAI, AutoGen, LangGraph. Knowledge of generative models including transformers, GANs, VAEs, and diffusion models. Understanding of data preprocessing, feature engineering, and model/agent evaluation techniques. Familiarity with cloud platforms and containerization technologies. Strong problem solving skills and ability to work independently and collaboratively. Effective communication skills for technical and non technical audiences. Preferred Qualifications, Capabilities, and Skills Experience in financial services, especially investment banking operations. Experience fine tuning small language models with approaches like LoRA, QLoRA, DoRA; quantization and distillation. Familiarity with prompt optimization frameworks and building prompt pipelines and evaluation suites. Experience with distributed computing, data sharding, and performance optimization. Hands on experience with AWS services related to AI deployment and workflow orchestration. Why Join Us We offer a competitive salary and benefits package, opportunities for professional growth, and a collaborative, innovative environment focused on responsible AI. You will work on impactful projects that shape the future of finance and have the chance to make a real difference. Equal Opportunity Employment We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
27/07/2026
Full time
Join us to shape the future of AI-driven business operations. You will have the opportunity to create scalable, safe, and reliable agentic solutions that transform how we work. We value your expertise in building multi-agent systems and your passion for collaborating across teams. At our company, you can grow your career, expand your skills, and make a meaningful impact. Be part of a team that thrives on innovation and continuous improvement. As an AI Engineer in our Agentic AI Solutions team, you will design, build, and deploy autonomous and assistive AI agents that streamline complex workflows. You will collaborate with cross-functional partners to translate operational needs into robust multi-agent systems, leveraging advanced frameworks and technologies. Your work will directly impact our business by delivering scalable and reliable AI solutions. We foster a culture of innovation, learning, and teamwork, where your contributions are valued and your growth is supported. Job Responsibilities Architect, develop, and productionize autonomous and assistive AI agents to enhance operations. Design multi-agent systems, including role definition, tool integration, planning, memory, and workflow orchestration using modern agent frameworks. Implement Retrieval-Augmented Generation (RAG) pipelines and semantic search with vector databases, including indexing, retrieval policies, and evaluation. Build and integrate agent tools and APIs to connect agents with external services, databases, and internal systems, ensuring robust output parsing and error handling. Practice advanced prompt engineering and implement output validation and guardrails to reduce hallucinations. Design microservices-based architectures and orchestrate multi-step workflows; instrument agents for tracing, metrics, and feedback loops. Partner with stakeholders to define requirements, design intuitive human-AI interfaces, and deliver measurable business impact. Analyze data to inform agent capabilities, optimize retrieval, and drive data-driven decision-making; conduct A/B tests and performance evaluations. Mentor and guide team members on agent frameworks, LLM usage, safety, and best practices. Required Qualifications, Capabilities, and Skills Advanced degree in Computer Science, Data Science, Machine Learning, or related field. Experience building and deploying agentic AI applications in production environments. Expertise with ML frameworks such as PyTorch, TensorFlow, and scikit-learn. Proficiency in Python; experience writing comprehensive tests and building evaluation harnesses for agents and prompts. Hands on experience with agent frameworks such as LangChain, CrewAI, AutoGen, LangGraph. Knowledge of generative models including transformers, GANs, VAEs, and diffusion models. Understanding of data preprocessing, feature engineering, and model/agent evaluation techniques. Familiarity with cloud platforms and containerization technologies. Strong problem solving skills and ability to work independently and collaboratively. Effective communication skills for technical and non technical audiences. Preferred Qualifications, Capabilities, and Skills Experience in financial services, especially investment banking operations. Experience fine tuning small language models with approaches like LoRA, QLoRA, DoRA; quantization and distillation. Familiarity with prompt optimization frameworks and building prompt pipelines and evaluation suites. Experience with distributed computing, data sharding, and performance optimization. Hands on experience with AWS services related to AI deployment and workflow orchestration. Why Join Us We offer a competitive salary and benefits package, opportunities for professional growth, and a collaborative, innovative environment focused on responsible AI. You will work on impactful projects that shape the future of finance and have the chance to make a real difference. Equal Opportunity Employment We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
