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Roche is seeking a Machine Learning Scientist/Senior Machine Learning Scientist to combine ML with quantum chemistry for small-molecule drug discovery. You will develop fast, accurate models powering discovery and collaborate with Roche and Genentech scientists. Requirements include a PhD or equivalent in ML/chemistry, expertise in Python and frameworks like PyTorch/JAX, and experience with Psi4/PySCF/ORCA and xTB. You will contribute to publications and open-source efforts. #J-18808-Ljbffr

Tesco is seeking a Senior Data Platform Engineer within the Cyber Data Platform team to build and maintain a scalable data platform that enables advanced analytics, machine learning, and GenAI for stronger security defences.You will collaborate closely with cross-functional data teams to ensure secu

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. Within Pharma Research & Early Development (pRED), our Ophthalmology teams are redefining how precision medicine can transform the detection and treatment of complex retinal diseases. This is a rare opportunity to build a new function from the ground up - establishing an Ophthalmology Precision Medicine group at our Welwyn site that brings together biomarker science, advanced imaging, clinical expertise, and artificial intelligence. You will have the platform, pipeline, and resources to shape something truly new in one of the most dynamic areas of ophthalmic research. • Build a new Ophthalmology Precision Medicine function from the ground up - defining the vision, structure, and scientific direction for a group that integrates biomarkers, advanced imaging, clinical science, and AI across the pRED Ophthalmology portfolio., • Lead a cross-functional expert team spanning translational medicine, imaging, clinical development, data science, and biomarker disciplines - ensuring precision medicine is at the heart of our Ophthalmology strategy., • Bridge laboratory science and clinical practice by steering the generation of robust fluid- and imaging biomarker strategies that enable project and disease area decisions., • Advance innovation in imaging science by directing cutting-edge ophthalmic imaging approaches including OCT, OCT-A, and FA to inform future clinical practice and therapeutic development., • Enable translational insights through AI and data by integrating preclinical and clinical datasets using classical and next-generation analytical approaches., • Influence portfolio strategy across multiple retinal diseases including neovascular AMD, diabetic macular edema, geographic atrophy, and intermediate AMD - driving the direction and future of clinical development and research., • Represent Roche externally through strong partnerships with scientific experts, investigators, and the broader ophthalmology community - remaining at the forefront of innovation., • You are a board-certified ophthalmologist (MD or MD/PhD) with deep expertise in ophthalmology, translational medicine, or biomedical sciences., • You are a recognised expert in the retina space, with a strong scientific publication record and standing as a key opinion leader in your field., • You have deep knowledge of ophthalmic imaging technologies (OCT, OCT-A, FA) and experience with imaging analysis or Reading Centre environments., • You are experienced in integrating preclinical and clinical data to support proof of biology, efficacy, and safety strategies, with some exposure to clinical trials., • You are a collaborative scientific leader who thrives in matrix environments, energised by innovation and the opportunity to build something new., • Experience applying AI or machine learning to ophthalmic imaging analysis or clinical data interpretation., • Prior experience in pharmaceutical drug development programmes for retinal diseases., • Flexible working arrangements may be available for exceptional candidates who wish to maintain some clinical activity alongside this role. A healthier future drives us to innovate. Together, more than 100,000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact. Let's build a healthier future, together. The statements herein are intended to describe the general nature and level of work being performed by employees, and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of Roche Products Ltd. At Roche Products we believe diversity drives innovation and we are committed to building a diverse and flexible working environment. All qualified applicants will receive consideration for employment without regard to race, religion or belief, sex, gender reassignment, sexual orientation, marriage and civil partnership, pregnancy and maternity, disability or age. We recognise the importance of flexible working and will review all applicants' requests with care. At Roche difference is valued and we are proud to be an equal opportunity employer where you are encouraged to bring your whole self to work. #J-18808-Ljbffr

About the role: Within Tesco Data & Analytics, we help our customers and the communities where we operate get the most value from data.We build and run Tesco’s data platforms, we architect and engineer data onto these platforms, provide capabilities and tools to the analytics community across Tesc

BRE is a world-leading global organisation for innovation, science and data in the built environment. For over 100 years, we have supported governments, businesses and industry with pioneering research, testing and expertise. We are focused on growth, scale and expanding our global impact with products, services, standards and qualifications that address the challenges of a changing world. Are you passionate about tackling the energy challenges facing the UK and beyond? Do you want to work on projects that directly influence government policy, support the transition to net zero and deliver meaningful environmental impact? At BRE, we're looking for a Technical Consultant to join our growing Energy team. This is an exciting opportunity to apply your technical expertise to high-profile consultancy, research and product development projects while working alongside some of the industry's leading experts in energy, sustainability and the built environment. As a Technical Consultant, you will contribute to the delivery of a diverse portfolio of energy consultancy, research and development projects for government departments, devolved administrations and commercial clients. You’ll work on projects that help improve building performance, influence energy policy and accelerate the UK's journey towards net zero. Alongside project delivery, you’ll support the development of innovative products, methodologies and services, helping BRE remain at the forefront of energy and sustainability expertise. The role also offers opportunities to collaborate with teams across BRE, including Research, BREEAM and Housing, while building relationships with clients and industry stakeholders. • Deliver technical energy consultancy projects for government and commercial clients., • Contribute to research, policy and product development initiatives that support the energy transition., • Analyse complex energy, building performance and sustainability data to generate meaningful insights and recommendations., • Apply energy calculation methodologies and building physics principles to client projects., • Support the development and improvement of BRE products, tools and services., • Prepare high-quality technical reports, presentations and client communications., • Engage with clients and stakeholders to understand requirements and deliver effective solutions., • Contribute to industry discussions, thought leadership activities and knowledge-sharing initiatives., • Identify opportunities for innovation and continuous improvement within projects and team processes., • Support business development activities through client engagement, networking and proposal contributions. We're interested in candidates who combine strong technical capability with curiosity, problem-solving skills and a genuine passion for sustainability. You’ll ideally have: • A degree in Energy, Environmental Science, Engineering, Data Science, Geography, Housing or a related discipline., • Ideally have experience working in energy consultancy, sustainability, building performance, research or a related technical field., • Knowledge of energy efficiency and building performance methodologies, such as SAP, SBEM, HEM or similar frameworks., • Experience using programming or data analysis tools such as Python, C++, Rust, MATLAB or equivalent technologies., • An understanding of some the following - building physics, data science, machine learning, predictive analytics or AI applications within energy systems., • Excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences., • Strong organisational skills and the ability to manage multiple priorities and project deadlines., • Experience working with clients or stakeholders and building effective professional relationships. At BRE, we offer a competitive salary, reviewed annually, along with a comprehensive benefits package designed to support your financial security, well-being, and career development. • Pension scheme – 5% employer-matched contribution, • Life assurance – 4x your basic salary, • Enhanced maternity package, • HealthPartners cashback scheme – Reclaim costs on prescriptions, physiotherapy, dental care, and more, • Onsite facilities – Restaurant, nursery, and free parking, including at-cost EV charging points, • Learning & development – Free access to BRE Academy and our online learning platform, • Professional membership reimbursement For full details on our benefits, visit: BRE Employee Benefits Mostly Remote – This role is primarily home-based, with occasional travel to our head office in Watford or Glasgow for planned meetings (Once per month). As part of our recruitment process we will be conducting 10-30 minute phone screening calls via an AI recruiter called Ryan with all shortlisted candidates. The information gathered from this screening will be used to help assess your suitability for the position. At BRE, we value the relationships we have built with our preferred recruitment partners. We do not accept unsolicited CVs from employment agencies. Any CVs submitted directly to a BRE employee or hiring manager without a signed BRE Employment Agency Agreement and an active engagement for the specific role will be considered unsolicited. In such cases, no fees will be payable should the candidate be hired through this or any other means. BRE is an equal opportunities employer. We assess all qualified applicants based on merit and do not discriminate on the grounds of race, colour, religion, sex, age, national origin, disability, veteran status, genetic information, or any other legally protected characteristics. #J-18808-Ljbffr

ocadogroup# Data EngineerHatfield · REMOTEFree account · 30 seconds## About the roleData Engineer (Modelling & Transformation)| Hybrid Working | Hatfield Introduction: We are Ocado Group, and we're bringing world-class automation to online grocery. Our Ocado Smart Platform (OSP) combines cutting-edge robotics, AI, and IoT within our advanced CFCs (Customer Fulfilment Centres). We've mastered the single pick, transforming online delivery for our global partners. Join us and be part of a team pushing the boundaries of retail technology.### About the RoleAs a Data Engineer within our Data Engineering Modelling and Transformation team, you will be directly responsible for building and maintaining the foundational data warehouse that powers analytics, reporting, machine learning, and partner data products across Ocado Technology. In this role, you will transform raw operational data into trusted, governed, and business-ready datasets that drive strategic and operational decision-making across the entire organisation. Working in an agile environment, you will collaborate closely with data scientists, analysts, product owners, and platform engineers to deliver high-quality data feeds and scalable transformation frameworks. You will focus on designing reliable ELT/ETL pipelines, establishing rigorous data quality controls, and optimizing performance across our cloud data warehouse infrastructure to ensure seamless downstream data delivery for all enterprise consumers .### Key ResponsibilitiesResponsible for building and maintaining the core data warehouse that powers analytics, reporting, machine learning, and partner data products. Design, develop, and maintain scalable, reliable ELT/ETL pipelines across enterprise data solutions. Build and optimise dimensional and analytical data models to meet complex business reporting and analytics needs. Develop and maintain reusable data transformation logic using modern software engineering best practices. Implement automated data quality checks, pipeline monitoring, and testing frameworks to ensure data reliability. Collaborate with analysts, data scientists, product teams, and platform engineers to deliver secure, business-ready datasets. Monitor, troubleshoot, and optimise pipeline performance to continuously improve efficiency and operational resilience. Participate in code reviews and actively contribute to continuous improvements in team engineering standards. Produce clear documentation and foster knowledge sharing across the data engineering craft. What We're Looking For: Essential Proven### experiencedeveloping ELT/ETL pipelines and working with data transformation frameworks such as dbt. Strong SQL skills and a solid understanding of programming fundamentals in Python, SQL, or standard query languages. Hands-on### experienceusing Git and CI/CD workflows. Strong analytical, problem-solving, and clear communication skills with a collaborative mindset. Degree in Computer Science, Data Science, Software Engineering, Mathematics, or equivalent practical### experience. Solid understanding of core data concepts, including data storage, transformation, and analysis. Nice to Haves Practical### experiencewriting Python for data engineering workloads .### Experienceworking with modern cloud data warehouses, ideally Google BigQuery. Practical understanding of dimensional data modelling principles .### Experienceusing tools in our tech stack such as Airflow, Terraform, or Grafana. Previous### experienceworking within Agile delivery teams .### BenefitsWe believe in supporting our people with meaningful, flexible### benefitsthat prioritise well-being and work-life balance. Here's a snapshot of what you can expect: Time to recharge: 25 days annual leave (rising to 27 after 5 years), plus the option to buy more - and 30 days a year to work from anywhere in the world. Health & wellbeing: Private Medical Insurance from your first month, wellbeing support through specialist apps and EAP, plus Income Protection and Life Assurance. Family-first policies: 22 weeks paid maternity/primary carer leave and 6 weeks paid paternity leave Financial support: Pension with employer matching up to 7%, share schemes (Sharesave & BAYE), and interest-free loans for train tickets. Commuter### perksCycle to Work Scheme and free shuttle buses to/from Hatfield and Welwyn Garden City stations. Exclusive discounts: 15% off at Ocado.com with free delivery (starting in your first month). Be bold, be unique, be brilliant, be you. We are looking for individuality and we value diversity. We are an equal opportunities employer and we are committed to treating all applicants and employees fairly and equally. We are committed to making reasonable adjustments to provide a positive, barrier-free recruitment process and supportive### work environment. If you have any support or access### requirements, we encourage you to advise us at the time of application. #LI-HYBRID #LI-JT1 Find more English Speaking Jobs in United Kingdom on Arbeitnow## Skills this role needsNot yet in DeepCamp: digital\therapeutics talent\ai\_tools #J-18808-Ljbffr

As the Data Platform Engineering Manager in the cyber data team, you will play a crucial role in the development, management, and optimisation of our self‑served cyber data infrastructure. You will lead technical decisions and be responsible for a team of data platform engineers to provide a reliable and robust data platform, enabling seamless acquisition, storage, processing and analysis of security data for operational, analytics, machine learning and Gen AI purposes. The data platform lies at the heart of our security detection strategy, serving wider security teams. Data Architecture : Design, build and management of realtime, near realtime and batch data architectures that support threat detection, incident response and reporting through advanced analytics, machine learning and GenAI capabilities. Data Integration and Transformation : Implement and manage the automated frameworks for integrating data from various security sources into the security lake. Also, the data transformation frameworks to move data between the raw, trusted, and curated data layers. Data Security and Compliance : Implement and enforce data security standard methodologies, ensuring the protection of sensitive information and compliance with relevant regulations. Automation and DevOps : Implement various automations and DevOps practices to streamline the deployment, configuration, and management of data platform components. In addition to the above core accountabilities, I am also responsible for, • Contributing to and supporting the ongoing recruitment and talent development process for cyber data team at Tesco, • Providing reporting and insight to the cyber security leadership team and other senior representatives of the business, • The management of service providers and teams I work with inside and outside of Tesco Relevant experience as an Engineering Manager, leading teams and managing data projects at scale Solid programming experience with programming languages like Python or Java along with proficiency in SQL Experience working with cloud platforms (e.g., Azure) and big data technologies like Spark, Flink etc., Solid grasp of Kubernetes, CI/CD and Terraform Working knowledge of ETL and ELT frameworks and orchestration tools like Airflow Hiring, developing, and retaining cyber data platform talent Ability to deliver clear input, guide, empower the team to achieve desired outcomes Developing working relationships with various teams and at all levels of seniority to facilitate the adoption of the data infrastructure Knowledge of cybersecurity principles and practices • Annual bonus scheme of up to 20% of base salary, • Holiday starting at 25 days plus a personal day (plus Bank holidays), • Private medical insurance, • 26 weeks maternity and adoption leave (after 1 years’ service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave, • Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is ‘Serving our customers, communities and planet a little better every day’. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet. We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We're committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We’re proud to have been accredited Disability Confident Leader and we’re committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer. We’re a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. Everyone is welcome at Tesco. #J-18808-Ljbffr

As the Data Platform Engineering Manager in the cyber data team, you will play a crucial role in the development, management, and optimisation of our self-served cyber data infrastructure. You will lead technical decisions and be responsible for a team of data platform engineers to provide a reliable and robust data platform, enabling seamless acquisition, storage, processing and analysis of security data for operational, analytics, machine learning and Gen AI purposes. The data platform lies at the heart of our security detection strategy, serving wider security teams. Design, build and management of realtime, near realtime and batch data architectures that support threat detection, incident response and reporting through advanced analytics, machine learning and GenAI capabilities. Implement and manage the automated frameworks for integrating data from various security sources into the security lake. Also, the data transformation frameworks to move data between the raw, trusted, and curated data layers. Implement and enforce data security standard methodologies, ensuring the protection of sensitive information and compliance with relevant regulations. Implement various automations and DevOps practices to streamline the deployment, configuration, and management of data platform components. In addition to the above core accountabilities, I am also responsible for, • Contributing to and supporting the ongoing recruitment and talent development process for cyber data team at Tesco, • Providing reporting and insight to the cyber security leadership team and other senior representatives of the business, • The management of service providers and teams I work with inside and outside of Tesco, • Relevant experience as an Engineering Manager, leading teams and managing data projects at scale, • Solid programming experience with programming languages like Python or Java along with proficiency in SQL, • Experience working with cloud platforms (e.g., Azure) and big data technologies like Spark, Flink etc.,, • Solid grasp of Kubernetes, CI/CD and Terraform, • Working knowledge of ETL and ELT frameworks and orchestration tools like Airflow, • Hiring, developing, and retaining cyber data platform talent, • Ability to deliver clear input, guide, empower the team to achieve desired outcomes, • Developing working relationships with various teams and at all levels of seniority to facilitate the adoption of the data infrastructure, • Knowledge of cybersecurity principles and practices Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is ‘Serving our customers, communities and planet a little better every day’. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet. We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We're committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We’re proud to have been accredited Disability Confident Leader and we’re committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here. We’re a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco. #J-18808-Ljbffr

As the Staff Analytics Engineer for Cyber Analytics, you will set the technical direction for cybersecurity data products, ensuring they are trusted, scalable and built for impact. You will drive data modelling standards, analytics architecture and engineering best practices, enabling high-quality insights, AI-powered analytics and secure self-service capabilities. Partnering with security, platform and engineering teams, you will shape long-term strategy, champion data governance and AI responsibility, and mentor Analytics Engineers to deliver exceptional data products at scale. Define and drive the technical direction for cybersecurity data products, establishing engineering standards, best practices and operating models that enable the team to deliver trusted, scalable and high-value data solutions aligned to security and business objectives. Lead the design and evolution of the cybersecurity analytics architecture, defining data patterns, modelling approaches and data product frameworks that support reporting, advanced analytics, machine learning, GenAI and AI-powered analytics experiences at scale. Establish the strategic approach for data integration, transformation and quality management across the raw, trusted and curated layers of the data ecosystem, ensuring data products are reliable, governed, reusable and fit for purpose. Define and govern data modelling standards and semantic layer design principles that enable consistent, discoverable and trusted data products, supporting self-service analytics, threat investigation and decision-making across security teams. Champion engineering excellence by driving coding standards, testing frameworks, peer review practices and documentation approaches that improve quality, maintainability, consistency and knowledge sharing across the Analytics Engineering function. Lead the adoption of automation and DataOps practices that improve the deployment, testing, monitoring and operational management of data products, enhancing scalability, reliability and developer productivity. Shape the strategy and technical approach for analytics agents and conversational analytics capabilities, enabling users to explore and investigate security and business data through natural language experiences while ensuring responsible AI adoption through appropriate governance, security controls and human oversight. Establish and promote data governance, security and compliance standards across the cybersecurity analytics estate, ensuring sensitive data is protected and managed in accordance with organisational policies and regulatory requirements. Partner with security, engineering and data leaders to shape roadmaps, influence architectural decisions and align analytics capabilities with strategic priorities, communicating complex technical concepts clearly to both technical and non-technical stakeholders. In addition to the above core accountabilities, I am also responsible for contributing to and supporting the recruitment, coaching, mentoring and development of Analytics Engineering talent, helping to raise technical capability and foster a culture of engineering excellence across the Cyber Analytics team. Strong passion for data engineering, data modelling, data quality and building trusted, scalable data products that enable analytics, machine learning and AI-driven use cases. Proven experience leading the design and delivery of enterprise-scale data products, defining technical strategy, architectural patterns and engineering standards while providing technical leadership across teams. Expert programming experience with Python/PySpark and advanced proficiency in SQL for large-scale data transformation, optimisation and analytics workloads. Extensive experience designing and implementing scalable data solutions on cloud platforms such as Databricks on Azure, including data lakehouse architectures, data modelling frameworks and data quality controls. Deep understanding of analytics architecture, data modelling methodologies, semantic layer design, and approaches for delivering discoverable, governed and reusable data products. Expertise in ETL and ELT frameworks for large-scale batch and near real-time processing, with hands-on experience using orchestration and transformation technologies such as Airflow and dbt. Strong knowledge of software engineering best practices, including coding standards, code reviews, testing strategies, version control systems such as Git, and CI/CD processes. Experience driving automation and DataOps practices that improve deployment, monitoring, reliability and operational efficiency of data products. Experience developing dashboards, visualisations and self-service analytics capabilities using tools such as Tableau, enabling users to derive actionable insights from complex datasets. Experience shaping or implementing analytics agents, conversational analytics capabilities, semantic layers or other AI-powered analytics solutions that enable users to explore and investigate data through natural language. Understanding of responsible AI principles, including governance, security controls, evaluation frameworks and appropriate human oversight. Strong leadership, mentoring and coaching skills, with the ability to develop Analytics Engineers, raise engineering standards and build high-performing teams. Ability to influence stakeholders and communicate complex technical concepts, architectural decisions and data strategies to both technical and non-technical audiences. Knowledge of cybersecurity principles, security operations and threat detection use cases, with experience applying data and analytics solutions to support cybersecurity outcomes. Strong communication skills, both written and verbal to effectively engage with team and individuals involved in the project. Strong analytical abilities, attention to detail and ability to empower users with self-service capabilities through the analytics platform. Experience with collaborative development methods such as mob or ensemble programming. You might know us as a supermarket, technology company or even for our award-winning mobile network. Truth is, we’re all of those things, and much more. Our colleagues work with one goal in mind, helping to make every day a little better for our customers, colleagues and communities all over the world. No two customers are the same, neither are our colleagues. At Tesco, we champion a balance that lets you thrive both in and out of work. Spend 60% of your week collaborating with colleagues at our office locations or local sites and the rest remotely. Whether you're just kicking off your career, juggling passions, or navigating big life events, we're here to support you. We always welcome a conversation about flexible working, so talk to us throughout your application about how we can support. We’re proud to be an accredited Disability Confident Leader, where everyone’s welcome. That’s why we commit to providing a fully inclusive and accessible recruitment process. If you need support with your application, click here for more information. And if you're interested in joining our team but don't tick every box, don't let that hold you back from applying. #J-18808-Ljbffr

As a Data Engineer within our Data Engineering Modelling and Transformation team, you will be directly responsible for building and maintaining the foundational data warehouse that powers analytics, reporting, machine learning, and partner data products across Ocado Technology^. In this role, you will transform raw operational data into trusted, governed, and business-ready datasets that drive strategic and operational decision-making across the entire organisation^. Working in an agile environment, you will collaborate closely with data scientists, analysts, product owners, and platform engineers to deliver high-quality data feeds and scalable transformation frameworks^. You will focus on designing reliable ELT/ETL pipelines, establishing rigorous data quality controls, and optimizing performance across our cloud data warehouse infrastructure to ensure seamless downstream data delivery for all enterprise consumers^. • Responsible for building and maintaining the core data warehouse that powers analytics, reporting, machine learning, and partner data products^., • Design, develop, and maintain scalable, reliable ELT/ETL pipelines across enterprise data solutions^., • Build and optimise dimensional and analytical data models to meet complex business reporting and analytics needs^., • Develop and maintain reusable data transformation logic using modern software engineering best practices^., • Implement automated data quality checks, pipeline monitoring, and testing frameworks to ensure data reliability^., • Collaborate with analysts, data scientists, product teams, and platform engineers to deliver secure, business-ready datasets^., • Monitor, troubleshoot, and optimise pipeline performance to continuously improve efficiency and operational resilience^., • Participate in code reviews and actively contribute to continuous improvements in team engineering standards^., • Produce clear documentation and foster knowledge sharing across the data engineering craft^., • Proven experience developing ELT/ETL pipelines and working with data transformation frameworks such as dbt^., • Strong SQL skills and a solid understanding of programming fundamentals in Python, SQL, or standard query languages^., • Hands-on experience using Git and CI/CD workflows^., • Strong analytical, problem-solving, and clear communication skills with a collaborative mindset^., • Degree in Computer Science, Data Science, Software Engineering, Mathematics, or equivalent practical experience^., • Solid understanding of core data concepts, including data storage, transformation, and analysis^., • Practical experience writing Python for data engineering workloads^., • Experience working with modern cloud data warehouses, ideally Google BigQuery^., • Practical understanding of dimensional data modelling principles^., • Experience using tools in our tech stack such as Airflow, Terraform, or Grafana^., • Previous experience working within Agile delivery teams^. We are Ocado Group, and we're bringing world-class automation to online grocery. Our Ocado Smart Platform (OSP) combines cutting-edge robotics, AI, and IoT within our advanced CFCs (Customer Fulfilment Centres). We've mastered the single pick, transforming online delivery for our global partners. Join us and be part of a team pushing the boundaries of retail technology. We believe in supporting our people with meaningful, flexible benefits that prioritise well-being and work-life balance. Here's a snapshot of what you can expect: • Time to recharge: 25 days annual leave (rising to 27 after 5 years), plus the option to buy more - and 30 days a year to work from anywhere in the world., • Health & wellbeing: Private Medical Insurance from your first month, wellbeing support through specialist apps and EAP, plus Income Protection and Life Assurance., • Family-first policies: 22 weeks paid maternity/primary carer leave and 6 weeks paid paternity leave Financial support: Pension with employer matching up to 7%, share schemes (Sharesave & BAYE), and interest-free loans for train tickets., • Commuter perks: Cycle to Work Scheme and free shuttle buses to/from Hatfield and Welwyn Garden City stations., • Exclusive discounts: 15% off at Ocado.com with free delivery (starting in your first month). Be bold, be unique, be brilliant, be you. We are looking for individuality and we value diversity. We are an equal opportunities employer and we are committed to treating all applicants and employees fairly and equally. We are committed to making reasonable adjustments to provide a positive, barrier-free recruitment process and supportive work environment. If you have any support or access requirements, we encourage you to advise us at the time of application. #J-18808-Ljbffr

Roche seeks a Machine Learning Scientist to join the small-molecule team within AI for Drug Discovery (AI4DD) at Roche and Genentech’s Computational Sciences Center of Excellence. You will combine machine learning with quantum chemistry to build fast, accurate models that power small-molecule drug

As the Senior Data Platform Engineer in the Cyber Data Platform team, you will play a key role in building and maintaining a robust data platform that enables users to develop advanced analytics, machine learning, and GenAI solutions to strengthen our security defences. You will collaborate closely with cross functional data teams to ensure the platform is scalable, secure, and aligned with cybersecurity goals. Also, you will contribute to the data platform architecture and mentor junior team members to deliver high-quality data services. Design, build and management of realtime, near realtime and batch data architectures that support threat detection, incident response and reporting through advanced analytics, machine learning and GenAI capabilities. Implement and manage the automated frameworks for integrating data from various security sources into the security data lake. Also, the data transformation frameworks to move data between the raw, trusted, and curated data layers. Contribute to raising the quality bar of the team's codebase by producing high-quality code, conducting thorough peer reviews, and proactively providing constructive feedback to other team members on their code. Implement various automations and DevOps practices to streamline the deployment, configuration, and management of data platform components. Collaborate with teams from various departments, effectively communicating technical concepts and solutions to individuals with different levels of technical expertise. • Solid programming experience with programming languages like Python along with proficiency in SQL, • Experience building data platforms on cloud services like Databricks on Azure or GCP BigQuery and big data technologies like Spark, Flink etc.,, • Solid grasp of Kubernetes, CI/CD and Terraform, • Working knowledge of ETL and ELT frameworks and orchestration tools like Airflow and dbt, • Ability to provide clear input, guide, empower junior members of the team to achieve desired outcomes, • Familiarity with machine learning and AI tools is desirable, • Knowledge of cybersecurity principles and practices You might know us as a supermarket, technology company or even for our award-winning mobile network. Truth is, we’re all of those things, and much more. Our colleagues work with one goal in mind, helping to make every day a little better for our customers, colleagues and communities all over the world. No two customers are the same, neither are our colleagues. At Tesco, we champion a balance that lets you thrive both in and out of work. Spend 60% of your week collaborating with colleagues at our office locations or local sites and the rest remotely. Whether you're just kicking off your career, juggling passions, or navigating big life events, we're here to support you. We always welcome a conversation about flexible working, so talk to us throughout your application about how we can support. We’re proud to be an accredited Disability Confident Leader, where everyone’s welcome. That’s why we commit to providing a fully inclusive and accessible recruitment process. If you need support with your application. #J-18808-Ljbffr

Data Engineer (Modelling & Transformation)| Hybrid Working | Hatfield We are Ocado Group, and we're bringing world-class automation to online grocery. Our Ocado Smart Platform (OSP) combines cutting-edge robotics, AI, and IoT within our advanced CFCs (Customer Fulfilment Centres). Build and optimise dimensional and analytical data models to meet complex business reporting and analytics needs. must have Implement automated data quality checks, pipeline monitoring, and testing frameworks to ensure data reliability. must have • Python Strong SQL skills and a solid understanding of programming fundamentals in Python, SQL, or standard query languages. must have, • SQL Strong SQL skills and a solid understanding of programming fundamentals in Python, SQL, or standard query languages. must have, • dbt Proven experience developing ELT/ETL pipelines and working with data transformation frameworks such as dbt. must have, • Warehousing As a Data Engineer within our Data Engineering Modelling and Transformation team, you will be directly responsible for building and maintaining the foundational data warehouse that powers analytics, reporting, machine learning, and partner data products across Ocado Technology ., • Cost & performance Build and optimise dimensional and analytical data models to meet complex business reporting and analytics needs ., • Machine learning As a Data Engineer within our Data Engineering Modelling and Transformation team, you will be directly responsible for building and maintaining the foundational data warehouse that powers analytics, reporting, machine learning, and partner data products across Ocado Technology . not practised here, • Airflow / orchestration Experience using tools in our tech stack such as Airflow, Terraform, or Grafana . Implement automated data quality checks, pipeline monitoring, and testing frameworks to ensure data reliability . • GCP Experience working with modern cloud data warehouses, ideally Google BigQuery . not practised here, • Terraform Experience using tools in our tech stack such as Airflow, Terraform, or Grafana . not practised here #J-18808-Ljbffr

Introduction: We are Ocado Group, and we're bringing world-class automation to online grocery. Our Ocado Smart Platform (OSP) combines cutting‑edge robotics, AI, and IoT within our advanced CFCs (Customer Fulfilment Centres). We've mastered the single pick, transforming online delivery for our global partners. Join us and be part of a team pushing the boundaries of retail technology. About the Role: As a Data Engineer within our Data Engineering Modelling and Transformation team, you will be directly responsible for building and maintaining the foundational data warehouse that powers analytics, reporting, machine learning, and partner data products across Ocado Technology. In this role, you will transform raw operational data into trusted, governed, and business-ready datasets that drive strategic and operational decision‑making across the entire organisation. Working in an agile environment, you will collaborate closely with data scientists, analysts, product owners, and platform engineers to deliver high-quality data feeds and scalable transformation frameworks. You will focus on designing reliable ELT/ETL pipelines, establishing rigorous data quality controls, and optimizing performance across our cloud data warehouse infrastructure to ensure seamless downstream data delivery for all enterprise consumers. Key Responsibilities: • Responsible for building and maintaining the core data warehouse that powers analytics, reporting, machine learning, and partner data products., • Design, develop, and maintain scalable, reliable ELT/ETL pipelines across enterprise data solutions., • Build and optimise dimensional and analytical data models to meet complex business reporting and analytics needs., • Develop and maintain reusable data transformation logic using modern software engineering best practices., • Implement automated data quality checks, pipeline monitoring, and testing frameworks to ensure data reliability., • Collaborate with analysts, data scientists, product teams, and platform engineers to deliver secure, business-ready datasets., • Monitor, troubleshoot, and optimise pipeline performance to continuously improve efficiency and operational resilience., • Participate in code reviews and actively contribute to continuous improvements in team engineering standards., • Produce clear documentation and foster knowledge sharing across the data engineering craft. What We’re Looking For: • Proven experience developing ELT/ETL pipelines and working with data transformation frameworks such as dbt., • Strong SQL skills and a solid understanding of programming fundamentals in Python, SQL, or standard query languages., • Hands-on experience using Git and CI/CD workflows., • Strong analytical, problem-solving, and clear communication skills with a collaborative mindset., • Degree in Computer Science, Data Science, Software Engineering, Mathematics, or equivalent practical experience., • Solid understanding of core data concepts, including data storage, transformation, and analysis. Nice to Haves • Practical experience writing Python for data engineering workloads., • Experience working with modern cloud data warehouses, ideally Google BigQuery., • Practical understanding of dimensional data modelling principles., • Experience using tools in our tech stack such as Airflow, Terraform, or Grafana., • Previous experience working within Agile delivery teams. We believe in supporting our people with meaningful, flexible benefits that prioritise well-being and work-life balance. Here's a snapshot of what you can expect: • 25 days annual leave (rising to 27 after 5 years), plus the option to buy more - and 30 days a year to work from anywhere in the world., • Private Medical Insurance from your first month, wellbeing support through specialist apps and EAP, plus Income Protection and Life Assurance., • 22 weeks paid maternity/primary carer leave and 6 weeks paid paternity leave, • Pension with employer matching up to 7%, share schemes (Sharesave & BAYE), and interest‑free loans for train tickets., • Cycle to Work Scheme and free shuttle buses to/from Hatfield and Welwyn Garden City stations., • 15% off at Ocado.com with free delivery (starting in your first month). Be bold, be unique, be brilliant, be you. We are looking for individuality and we value diversity. We are an equal opportunities employer and we are committed to treating all applicants and employees fairly and equally. We are committed to making reasonable adjustments to provide a positive, barrier‑free recruitment process and supportive work environment. If you have any support or access requirements, we encourage you to advise us at the time of application. #LI-HYBRID #LI-JT1 Can't find what you're looking for or not ready for a move? Join our Talent Community to stay up to date with Ocado Group news and events, you'll also be the first to know about new opportunities - before they are posted. #J-18808-Ljbffr

As the Senior Data Platform Engineer in the Cyber Data Platform team, you will play a key role in building and maintaining a robust data platform that enables users to develop advanced analytics, machine learning, and GenAI solutions to strengthen our security defences. You will collaborate closely with cross functional data teams to ensure the platform is scalable, secure, and aligned with cybersecurity goals. Also, you will contribute to the data platform architecture and mentor junior team members to deliver high-quality data services. Data Architecture: Design, build and management of realtime, near realtime and batch data architectures that support threat detection, incident response and reporting through advanced analytics, machine learning and GenAI capabilities. Data Integration and Transformation: Implement and manage the automated frameworks for integrating data from various security sources into the security data lake. Also, the data transformation frameworks to move data between the raw, trusted, and curated data layers. Coding: Contribute to raising the quality bar of the team's codebase by producing high-quality code, conducting thorough peer reviews, and proactively providing constructive feedback to other team members on their code. Automation and DevOps: Implement various automations and DevOps practices to streamline the deployment, configuration, and management of data platform components. Collaboration and Communication: Collaborate with teams from various departments, effectively communicating technical concepts and solutions to individuals with different levels of technical expertise. Knowledge of cybersecurity principles and practices. Solid programming experience with programming languages like Python along with proficiency in SQL. Experience building data platforms on cloud services like Databricks on Azure or GCP BigQuery and big data technologies like Spark, Flink etc. Solid grasp of Kubernetes, CI/CD and Terraform. Working knowledge of ETL and ELT frameworks and orchestration tools like Airflow and dbt. Ability to provide clear input, guide, empower junior members of the team to achieve desired outcomes. Familiarity with machine learning and AI tools is desirable. We’re all about the little helps. That’s why we make sure our Tesco colleague benefits package takes care of you – both in and out of work. • Annual bonus scheme of up to 20% of base salary., • Holiday starting at 25 days plus a personal day (plus Bank holidays)., • Private medical insurance., • 26 weeks maternity and adoption leave (12 months service required at the qualifying date) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave., • Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing., • This information is a shortened summary, refer to our policies for full details. You might know us as a supermarket, technology company or even for our award-winning mobile network. Truth is, we’re all of those things, and much more. Our colleagues work with one goal in mind, helping to make every day a little better for our customers, colleagues and communities all over the world. No two customers are the same, neither are our colleagues. At Tesco, we champion a balance that lets you thrive both in and out of work. Spend 60% of your week collaborating with colleagues at our office locations or local sites and the rest remotely. Whether you're just kicking off your career, juggling passions, or navigating big life events, we’re here to support you. We always welcome a conversation about flexible working, so talk to us throughout your application about how we can support. We're proud to be an accredited Disability Confident Leader, where everyone’s welcome. That’s why we commit to providing a fully inclusive and accessible recruitment process. And if you're interested in joining our team but don't tick every box, don't let that hold you back from applying. #J-18808-Ljbffr

Tesco Data & Analytics is seeking a Senior Machine Learning Engineer to drive delivery of scalable ML-powered products across the business. You’ll collaborate with engineers, data scientists, product managers and analytics professionals to ship production-ready solutions that improve customer experiences and operational efficiency. You will work across the software lifecycle, apply SDLC practices, and help evolve our data platforms and tooling. #J-18808-Ljbffr

As the Staff Analytics Engineer for Cyber Analytics, you will set the technical direction for cybersecurity data products, ensuring they are trusted, scalable and built for impact. You will drive data modelling standards, analytics architecture and engineering best practices, enabling high-quality insights, AI-powered analytics and secure self-service capabilities. Partnering with security, platform and engineering teams, you will shape long-term strategy, champion data governance and AI responsibility, and mentor Analytics Engineers to deliver exceptional data products at scale. Technical Leadership and Data Product Strategy: Define and drive the technical direction for cybersecurity data products, establishing engineering standards, best practices and operating models that enable the team to deliver trusted, scalable and high-value data solutions aligned to security and business objectives. Analytics Architecture: Lead the design and evolution of the cybersecurity analytics architecture, defining data patterns, modelling approaches and data product frameworks that support reporting, advanced analytics, machine learning, GenAI and AI-powered analytics experiences at scale. Data Modelling and Semantic Enablement: Define and govern data modelling standards and semantic layer design principles that enable consistent, discoverable and trusted data products, supporting self-service analytics, threat investigation and decision-making across security teams. Engineering Excellence and Documentation: Champion engineering excellence by driving coding standards, testing frameworks, peer review practices and documentation approaches that improve quality, maintainability, consistency and knowledge sharing across the Analytics Engineering function. Automation and AnalyticsOps: Lead the adoption of automation and DataOps practices that improve the deployment, testing, monitoring, and operational management of data products, enhancing scalability, reliability and developer productivity. AI and Analytics Enablement: Shape the strategy and technical approach for analytics agents and conversational analytics capabilities, enabling users to explore and investigate security and business data through natural language experiences while ensuring responsible AI adoption through appropriate governance, security controls and human oversight. Data Governance, Security and Compliance: Establish and promote data governance, security and compliance standards across the cybersecurity analytics estate, ensuring sensitive data is protected and managed in accordance with organisational policies and regulatory requirements. Cross-functional Leadership and Influence: Partner with security, engineering and data leaders to shape roadmaps, influence architectural decisions and align analytics capabilities with strategic priorities, communicating complex technical concepts clearly to both technical and non-technical stakeholders. In addition to the above core accountabilities, I am also responsible for contributing to and supporting the recruitment, coaching, mentoring and development of Analytics Engineering talent, helping to raise technical capability and foster a culture of engineering excellence across the Cyber Analytics team. Strong passion for data engineering, data modelling, data quality and building trusted, scalable data products that enable analytics, machine learning and AI-driven use cases. Proven experience leading the design and delivery of enterprise-scale data products, defining technical strategy, architectural patterns and engineering standards while providing technical leadership across teams. Expert programming experience with Python/PySpark and advanced proficiency in SQL for large-scale data transformation, optimisation and analytics workloads. Extensive experience designing and implementing scalable data solutions on cloud platforms such as Databricks on Azure, including data lakehouse architectures, data modelling frameworks and data quality controls. Deep understanding of analytics architecture, data modelling methodologies, semantic layer design, and approaches for delivering discoverable, governed and reusable data products. Expertise in ETL and ELT frameworks for large-scale batch and near real-time processing, with hands‑on experience using orchestration and transformation technologies such as Airflow and dbt. Strong knowledge of software engineering best practices, including coding standards, code reviews, testing strategies, version control systems such as Git, and CI/CD processes. Experience driving automation and DataOps practices that improve deployment, monitoring, reliability and operational efficiency of data products. Experience developing dashboards, visualisations and self‑service analytics capabilities using tools such as Tableau, enabling users to derive actionable insights from complex datasets. Experience shaping or implementing analytics agents, conversational analytics capabilities, semantic layers or other AI‑powered analytics solutions that enable users to explore and investigate data through natural language. Understanding of responsible AI principles, including governance, security controls, evaluation frameworks and appropriate human oversight. Strong leadership, mentoring and coaching skills, with the ability to develop Analytics Engineers, raise engineering standards and build high‑performing teams. Ability to influence stakeholders and communicate complex technical concepts, architectural decisions and data strategies to both technical and non‑technical audiences. Knowledge of cybersecurity principles, security operations and threat detection use cases, with experience applying data and analytics solutions to support cybersecurity outcomes. Strong communication skills, both written and verbal to effectively engage with team and individuals involved in the project. Strong analytical abilities, attention to detail and ability to empower users with self‑service capabilities through the analytics platform. Experience with collaborative development methods such as mob or ensemble programming. We’re all about the little helps. That’s why we make sure our Tesco colleague benefits package takes care of you – both in and out of work. • Annual bonus scheme of up to 20% of base salary., • Holiday starting at 25 days plus a personal day (plus Bank holidays)., • Private medical insurance., • 26 weeks maternity and adoption leave (12 months service required at the qualifying date) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave., • Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing. The above information is a shortened summary, refer to our policies for full details You might know us as a supermarket, technology company or even for our award‑winning mobile network. Truth is, we’re all of those things, and much more. Our colleagues work with one goal in mind, helping to make every day a little better for our customers, colleagues and communities all over the world. No two customers are the same, neither are our colleagues. At Tesco, we champion a balance that lets you thrive both in and out of work. Spend 60% of your week collaborating with colleagues at our office locations or local sites and the rest remotely. Whether you're just kicking off your career, juggling passions, or navigating big life events, we are here to support you. We always welcome a conversation about flexible working, so talk to us throughout your application about how we can support. We’re proud to be an accredited Disability Confident Leader, where everyone’s welcome. That’s why we commit to providing a fully inclusive and accessible recruitment process. And if you're interested in joining our team but don't tick every box, don't let that hold you back from applying. #J-18808-Ljbffr

/212889 Skills, Experience, Qualifications, If you have the right match for this opportunity, then make sure to apply today. Back to job search results Tesco UK • Welwyn Garden City • Hybrid • Full-Time • Working hours 36 • Apply by 09-Nov-2026 About the role As the Analytics Engineering Manager in the cyber data team, you will play a crucial role in the development, management, and optimisation of security data products. You will lead technical decisions and be responsible for a team of analytics engineers to ensure the delivery of high-quality data products needed for security teams operations, analytics, machine learning and Gen AI applications.The Analytics Engineering team plays a direct role in the success of the Cyber Data Intelligence team and is a key driver in promoting a data-centric culture within the security function. You will also help shape how AI and conversational analytics are used to make security data more accessible, enabling users to explore data, generate insights and answer questions using natural language rather than relying solely on traditional SQL, reports and dashboards. What is in it for you We’re all about the little helps. That’s why we make sure our Tesco colleague benefits package takes care of you – both in and out of work. Click Here to find out more!Annual bonus scheme of up to 20% of base salary.Holiday starting at 25 days plus a personal day (plus Bank holidays).Private medical insurance.26 weeks maternity and adoption leave (12 months service required at the qualifying date) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave.Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing.The above information is a shortened summary, refer to our policies for full details You will be responsible for You will need Operational skills relevant for this job:Strong written, verbal and presentation skillsStrong analytical skills, with the ability to correlate and identify trends, patterns, and outlier within large security datasets and telemetryAbility to work with and evaluate AI-assisted analytics and conversational data tools.Understanding of prompt engineering and effective use of foundation models such as OpenAI and Claude for analytics use cases.Experience with collaborative development methods such as mob or ensemble programmingExperience relevant for this job:Relevant experience as an Engineering or BI Manager, leading teams and managing data projects at scaleSolid experience with data warehousing principles, data modelling and data architectureHighly proficient in SQL with solid experience with programming languages like PythonExperience working with cloud platforms (e.g., Azure, GCP) and big data technologies like SparkWorking knowledge of ETL and ELT frameworks and tools like dbtExperience using AI/GenAI capabilities to support analytics, data exploration or insight generation.Familiarity with AI platforms and tools such as Databricks Genie, AI Agents, OpenAI or Claude, with an understanding of prompts, model evaluation.Understanding of how to design trusted, governed and well-documented data products that can be consumed by AI applications.Working knowledge of Version Control and CI/CD pipelinesHiring, developing, and retaining cyber analytics talentAbility to provide clear input, guide, empower the team to achieve desired outcomesDeveloping working relationships with various teams and stakeholders at all levels of seniority to drive data driven decisions and enable end users to make informed decisions through data and AIKnowledge of cybersecurity principles and practices About us You might know us as a supermarket, technology company or even for our award-winning mobile network. Truth is, we’re all of those things, and much more. Our colleagues work with one goal in mind, helping to make every day a little better for our customers, colleagues and communities all over the world. No two customers are the same, neither are our colleagues. At Tesco, we champion a balance that lets you thrive both in and out of work. Spend 60% of your week collaborating with colleagues at our office locations or local sites and the rest remotely. Whether you're just kicking off your career, juggling passions, or navigating big life events, we're here to support you. We always welcome a conversation about flexible working, so talk to us throughout your application about how we can support. We're proud to be an accredited Disability Confident Leader, where everyone’s welcome. That’s why we commit to providing a fully inclusive and accessible recruitment process. If you need support with your application, click here for more information. And if you're interested in joining our team but don't tick every box, don't let that hold you back from applying. xrnqpay When you join us in this role, you'll be employed by Tesco Stores Limited, the Tesco legal entity responsible for your employment.EmailWhatsApp Share this job EmailWhatsApp

GB/careers/JobDetail/Senior-Machine-Learning-Engineer/203299 Back to job search results Tesco UK • Welwyn Garden City • Hybrid • Full-Time • Permanent • Working hours 36 • Apply by 07-Nov-2026 About the role Within Tesco Data & Analytics, we help our customers and the communi

As the Senior Data Platform Engineer in the Cyber Data Platform team, you will play a key role in building and maintaining a robust data platform that enables users to develop advanced analytics, machine learning, and GenAI solutions to strengthen our security defences. Data Architecture: Design, bu

As a Senior Machine Learning Engineer, you will build, own, and continuously improve the scalable AI/ML systems, applications, and data infrastructure that unlock the potential of our diverse scientific data, accelerating the discovery and development of life-changing treatments. Master's or PhD in

Tesco UK in Welwyn Garden City is hiring a Senior Machine Learning Engineer. You will join the Data & Analytics team to build and deploy scalable ML solutions, collaborating with data scientists, engineers, and product teams across Tesco's analytics platforms.

As the Senior Analytics Engineer on the Cyber Analytics team, you will lead the design and implementation of trusted, well-documented and tested data products that transform raw security data into reliable, accessible and actionable insights. These foundations will enable reporting, advanced analytics, machine learning, GenAI and AI-powered analytics experiences to help security teams investigate, understand and respond to threats more effectively. Working closely with cross-functional security and data teams, you will ensure data is accurate, governed and fit for purpose, while helping to design and enable analytics agents that allow users to explore and self-serve security and business data. You will champion the responsible use of AI through appropriate oversight, security and governance, contribute to the analytics platform architecture, and mentor junior team members to deliver high-quality cybersecurity data products. • Data Integration and Transformation: Lead the implementation of data transformation pipelines and automated data quality frameworks, moving data across the raw, trusted and curated layers of the data platform to deliver reliable, scalable and trusted data products for security users., • Data Modelling: Design, build and manage logical and physical data models that are discoverable, accessible and reliable to support various threat detection, analysis and reporting capabilities., • Coding, Quality and Documentation: Drive engineering excellence by developing high-quality data pipelines and reusable solutions, producing clear documentation, conducting thorough peer reviews and proactively raising coding standards across the team through constructive feedback and knowledge sharing., • Automation and Platform Engineering: Implement automation practices that streamline the deployment, testing, monitoring and management of data models, pipelines and data quality frameworks, improving reliability, scalability and operational efficiency., • AI and Analytics Enablement: Support the design and adoption of analytics agents and conversational analytics capabilities that enable teams to explore and investigate security and business data using natural language, ensuring the responsible application of AI through appropriate governance, security controls and human oversight., • Visualisation and Insight Delivery: Develop and maintain trusted dashboards and visualisations that transform complex security and business data into clear, actionable insights, enabling self-service analysis, decision-making and data storytelling., • Collaboration and Communication: Partner with security, engineering and data teams to understand business needs, shape data product solutions and communicate complex data concepts effectively to audiences with varying levels of technical expertise., • In addition to the above core accountabilities, I am also responsible for contributing to and supporting the recruitment, coaching and development of talent within the Cyber Analytics team., • A strong passion for big data, data modelling, data quality and ETLs., • Solid programming experience with Python/PySpark along with proficiency in SQL., • Extensive experience working with ETL and ELT frameworks and orchestration tools such as Airflow and dbt., • Experience building robust data models on cloud platforms such as Databricks on Azure and implementing automated data quality frameworks and related controls., • Experience developing high-value dashboards and visualisations using BI tools such as Tableau, translating complex data into trusted insights that support self-service analytics, decision-making and storytelling., • Good practical understanding of version control systems such as Git and CI/CD processes., • Experience or an interest in building analytics agents, conversational analytics capabilities or other AI-powered self-service solutions that enable users to explore and investigate data using natural language., • Understanding of responsible AI principles, including governance, security controls and appropriate human oversight., • Ability to provide clear input, guidance and coaching to junior members of the team to achieve desired outcomes., • Knowledge of cybersecurity principles and practices. We’re all about the little helps. That’s why we make sure our Tesco colleague benefits package takes care of you – both in and out of work. • Annual bonus scheme of up to 20% of base salary., • Holiday starting at 25 days plus a personal day (plus Bank holidays)., • Private medical insurance., • 26 weeks maternity and adoption leave (12 months service required at the qualifying date) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave., • Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing. The above information is a shortened summary, refer to our policies for full details. You might know us as a supermarket, technology company or even for our award-winning mobile network. Truth is, we’re all of those things, and much more. Our colleagues work with one goal in mind, helping to make every day a little better for our customers, colleagues and communities all over the world. No two customers are the same, neither are our colleagues. At Tesco, we champion a balance that lets you thrive both in and out of work. Spend 60% of your week collaborating with colleagues at our office locations or local sites and the rest remotely. Whether you're just kicking off your career, juggling passions, or navigating big life events, we're here to support you. We always welcome a conversation about flexible working, so talk to us throughout your application about how we can support. We're proud to be an accredited Disability Confident Leader, where everyone’s welcome. #J-18808-Ljbffr

Members of the cyber data platform team (Heads, Managers, Product Managers, Data Platform Engineers, Analytics Engineers, Machine Learning Engineers and Software Engineers). As the Analytics Engineering Manager in the cyber data team, you will play a crucial role in the development, management, and

Join the small-molecule team within AI for Drug Discovery (AI4DD), formerly Prescient Design, at Roche and Genentech's Computational Sciences Center of Excellence as a Machine Learning Scientist / Senior Machine Learning Scientist in Quantum Chemistry. You will work with world-class computational an

Our Machine Learning Engineers work alongside our data scientists, helping with everything from development of tools and platforms, code optimisations through to deployment of solutions on the edge, cloud and big-data environments. As a Senior Machine Learning Engineer, you’ll be a significant con

Join the small-molecule team within AI for Drug Discovery (AI4DD), formerly Prescient Design, at Roche and Genentech’s Computational Sciences Center of Excellence as a Machine Learning Scientist / Senior Machine Learning Scientist in Quantum Chemistry. You will combine machine learning methods and

As a Senior Data Scientist, you will architect cutting-edge AI frameworks, transform vast enterprise data into actionable insights, and help double the number of patients accessing life-changing medicines. Act as a technical subject-matter expert, providing hands-on guidance on model selection and m

You will lead technical decisions and be responsible for a team of data platform engineers to provide a reliable and robust data platform, enabling seamless acquisition, storage, processing and analysis of security data for operational, analytics, machine learning and Gen AI purposes. As the Data Pl

As the Senior Analytics Engineer on the Cyber Analytics team, you will lead the design and implementation of trusted, well-documented and tested data products that transform raw security data into reliable, accessible and actionable insights. These foundations will enable reporting, advanced analytics, machine learning, GenAI and AI-powered analytics experiences to help security teams investigate, understand and respond to threats more effectively. Working closely with cross-functional security and data teams, you will ensure data is accurate, governed and fit for purpose, while helping to design and enable analytics agents that allow users to explore and self-serve security and business data. You will champion the responsible use of AI through appropriate oversight, security and governance, contribute to the analytics platform architecture, and mentor junior team members to deliver high-quality cybersecurity data products. What is in it for you We're all about the little helps. That's why we make sure our Tesco colleague benefits package takes care of you - both in and out of work. Click Here to find out more! • Annual bonus scheme of up to 20% of base salary., • Holiday starting at 25 days plus a personal day (plus Bank holidays)., • Private medical insurance., • 26 weeks maternity and adoption leave (12 months service required at the qualifying date) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave., • Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing. The above information is a shortened summary, refer to our policies for full details You will be responsible for Data Integration and Transformation: Lead the implementation of data transformation pipelines and automated data quality frameworks, moving data across the raw, trusted and curated layers of the data platform to deliver reliable, scalable and trusted data products for security users. Data Modelling: Design, build and manage logical and physical data models that are discoverable, accessible and reliable to support various threat detection, analysis and reporting capabilities. Coding, Quality and Documentation: Drive engineering excellence by developing high-quality data pipelines and reusable solutions, producing clear documentation, conducting thorough peer reviews and proactively raising coding standards across the team through constructive feedback and knowledge sharing. Automation and Platform Engineering: Implement automation practices that streamline the deployment, testing, monitoring and management of data models, pipelines and data quality frameworks, improving reliability, scalability and operational efficiency. AI and Analytics Enablement: Support the design and adoption of analytics agents and conversational analytics capabilities that enable teams to explore and investigate security and business data using natural language, ensuring the responsible application of AI through appropriate governance, security controls and human oversight. Visualisation and Insight Delivery: Develop and maintain trusted dashboards and visualisations that transform complex security and business data into clear, actionable insights, enabling self-service analysis, decision-making and data storytelling. Collaboration and Communication: Partner with security, engineering and data teams to understand business needs, shape data product solutions and communicate complex data concepts effectively to audiences with varying levels of technical expertise. In addition to the above core accountabilities, I am also responsible for contributing to and supporting the recruitment, coaching and development of talent within the Cyber Analytics team. • A strong passion for big data, data modelling, data quality and ETLs., • Solid programming experience with Python/PySpark along with proficiency in SQL., • Extensive experience working with ETL and ELT frameworks and orchestration tools such as Airflow and dbt., • Experience building robust data models on cloud platforms such as Databricks on Azure and implementing automated data quality frameworks and related controls., • Experience developing high-value dashboards and visualisations using BI tools such as Tableau, translating complex data into trusted insights that support self-service analytics, decision-making and storytelling., • Good practical understanding of version control systems such as Git and CI/CD processes., • Experience or an interest in building analytics agents, conversational analytics capabilities or other AI-powered self-service solutions that enable users to explore and investigate data using natural language., • Understanding of responsible AI principles, including governance, security controls and appropriate human oversight., • Ability to provide clear input, guidance and coaching to junior members of the team to achieve desired outcomes., • Knowledge of cybersecurity principles and practices. You might know us as a supermarket, technology company or even for our award-winning mobile network. Truth is, we're all of those things, and much more. Our colleagues work with one goal in mind, helping to make every day a little better for our customers, colleagues and communities all over the world. No two customers are the same, neither are our colleagues. At Tesco, we champion a balance that lets you thrive both in and out of work. Spend 60% of your week collaborating with colleagues at our office locations or local sites and the rest remotely. Whether you're just kicking off your career, juggling passions, or navigating big life events, we're here to support you. We always welcome a conversation about flexible working, so talk to us throughout your application about how we can support. #J-18808-Ljbffr

HertfordshireMachine Learning Engineer – Python & Production AIWe're working with an exciting technology company looking to hire a Machine Learning Engineer with a strong Python software engineering background to help build, deploy, and scale production-grade AI and machine learning systems. T

Defining and implementing best practices and standards for deploying machine learning at scale across the business. Senior Machine Learning Engineer. As a Senior Machine Learning Engineer, you’ll lead the development and deployment of cutting‑edge AI systems for our diverse clients.

This is a great job for someone who is energized by defining and executing Machine Learning (ML) strategy at scale, shaping how Aviva connects with millions of customers. They will be passionate about fostering innovation, experimentation, and continuous learning, inspiring their team and stakeholde

Extensive experience building and deploying Machine Learning models to production. Machine Learning Engineering Manager. You’ll be working on a hugely impactful workstream, focused on the machine learning that underpins our Chat feature.

ATG has a wealth of data, with millions of guests visiting, eating, and drinking in our theatres every year, and there is a growing need to bring machine learning and data-driven decision-making into our core business processes. The focus of this role is to improve revenue, customer satisfaction, re

You'll collaborate with Applied Scientists, Machine Learning Engineers and Data Engineers to solve complex challenges at the intersection of machine learning, software engineering and large-scale data systems, while seeing the direct impact of your work on customer experience and commercial outcomes

An established consultancy is seeking a Machine Learning Engineer (Contract) to support a global education organisation on an ongoing AI workspace project. Strong proficiency in Python with experience in machine learning deployment and MLOps tooling.

We’re looking for an experienced Machine Learning Engineer to help build and scale production-grade machine learning solutions. Good understanding of machine learning and data science principles. Exposure to modern cloud, data and machine learning technologies.

As a Lead Machine Learning Engineer at Faculty, you’ll drive the technical strategy, architecture, and deployment of cutting-edge, secure AI systems across high-stakes domains. Establishing company-wide standards and best practices for safe, reliable, and ethical machine learning deployment at sca

Keep up to date with the latest advancements in Deep Learning, Reinforcement Learning, Generative AI, and related fields, through continuous learning and by attending internal and external conferences. We are looking for a Senior Software Engineer with expertise in software optimization for gaming c

Role Summary We are seeking a Staff Machine Learning Engineer interested in the development of end-to-end models that unify perception, prediction, and planning in a single learning system. Computer Science, Robotics, or a related field 5+ years of experience building and deploying large-scale ML s

Machine Learning Engineer - Fully Remote | Upto $85/hr London, England, United Kingdom.

Fitch Ratings is seeking a Senior Machine Learning Engineer to join our new AI Innovation teams in London—where we're building the AI-powered future of financial analysis from the ground up. Work in one of the world's premier AI research hubs alongside Vector Institute researchers, attend cutting-

You'll tackle challenging problems across recommendation systems, personalisation, deep learning and AI-powered outfit generation, helping shape the future of machine learning at ASOS. Partner with Machine Learning Scientists to deploy deep learning models and deliver meaningful customer and busines

Hands‑on with modern machine learning (sequence models/transformers, representation learning, regularization, cross‑validation, causal/robust inference) applied in practice. Machine Learning Researchers on our Options team turn cutting‑edge ideas and petabyte‑scale data into bleeding‑edge

We are recruiting an experienced AI & Machine Learning Engineer for an exciting contract opportunity focused on developing, deploying and optimising scalable AI and machine learning solutions within a cloud-based environment. Package, containerise and serve machine learning models using Docker, KSer

Join to apply for the Senior Machine Learning Engineer role at Datatonic. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud. Create machine learning architectures using Google Cloud tools and services.