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Entity: Technology\n Job Family Group: IT&S Group\n Job Description: \n Equal Opportunity Employer \n bp is an equal opportunity employer. We believe that diversity and inclusion drive innovation and are essential to our success. We welcome applications from all qualified individuals regardless of race, colour, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, ... \n \n \n \n \n\n \n\n\n \n\n\n \n\n \n\n \n\n \n \n \n \n \n \n \n \n \n \n ZIPC1_UKTJ

Entity: Technology Job Family Group: IT&S Group Job Description: Equal Opportunity Employer bp is an equal opportunity employer. We believe that diversity and inclusion drive innovation and are essential to our success. We welcome applications from all qualified individuals regardless of race, colour, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristic. We are committed to making reasonable adjustments for candidates with disabilities or long-term conditions. If you require any adjustments during the recruitment process, please let us know. Role Summary We are looking for a Senior Data Scientist who combines deep machine learning expertise with strong software engineering subject area to design, build, and deploy production-grade ML and AI systems. This role goes beyond traditional ML engineering. You will apply machine learning science as a core field — developing novel algorithms and models that are not only experimentally validated but architected and deployed as scalable, reliable products. Whether it's advancing NLP, optimisation, simulation, or generative AI, you will deliver solutions that transition seamlessly from research to production and create measurable value. You will work as part of a cross-disciplinary team alongside data scientists, software engineers, data engineers, and domain authorities — translating complex scientific and business problems into deployable ML products. Key Responsibilities • Design, build, and maintain scalable, production-grade machine learning systems and pipelines using modern engineering practices (CI/CD, testing, monitoring, observability)., • Apply machine learning science to develop novel algorithms and models that are deployed as reliable, scalable products — not limited to experimentation but extending through to production delivery and operational use., • Build impactful ML products demonstrating statistical modelling, deep learning, and AI techniques across operational, scientific, and R&D domains., • Translate complex scientific and business problems into well-scoped ML solutions, delivering actionable insights and deployable capabilities., • Architect and optimise ML systems for performance, scalability, and reliability in production environments., • Collaborate closely with data scientists, data engineers, software engineers, and domain authorities as part of cross-disciplinary teams., • Adhere to and advocate for engineering and data science guidelines (technical design, design reviews, unit testing, monitoring & alerting, code reviews, documentation)., • Present technical results, trade-offs, and product outcomes to peers and senior partners., • Actively supply to improving developer velocity, engineering standards, and shared tooling., • Mentor junior team members and chip in to the technical growth of the wider team. Qualifications Essential • MSc, PhD degree or equivalent experience in a quantitative field (e.g. Computer Science, Mathematics, Physics, Engineering, or related discipline)., • Hands-on experience designing, prototyping, productionizing, maintaining, and scaling ML/data science products in complex environments., • Strong and demonstrable expertise in machine learning algorithms, statistical modelling, and optimisation techniques — with a track record of applying these to build production-grade solutions., • Applied knowledge of data science and ML tools across all stages of the data and model lifecycle., • Thorough understanding of the mathematical foundations of statistics, machine learning, and scientific computing., • Strong programming experience in one or more object-oriented languages (e.g. Python, Go, Java, C++)., • Advanced SQL knowledge., • Experience with modern ML engineering practices including MLOps, model lifecycle management, CI/CD, and monitoring., • Knowledge of experimental design, analysis, and scientific methodology., • Customer-centric and pragmatic mentality with a focus on value delivery and swift execution, while maintaining rigour and attention to detail., • Strong partner management and ability to influence across teams and organisations., • Continuous learning and improvement mentality. Desired • Experience with big data technologies (e.g. Hadoop, Hive, Spark)., • Experience with generative AI, LLMs, or retrieval-augmented generation (RAG)., • Exposure to Agentic AI concepts, including autonomous agents, tool use, and orchestration frameworks., • Experience applying machine learning and AI to scientific or R&D workflows — with emphasis on building deployable ML products from scientific research (e.g. simulation, optimisation, physics-informed models)., • Familiarity with model interpretability, uncertainty quantification, and advanced experimental methodologies., • Consistent track record of publications, invention disclosures (IDFs), or patents in machine learning or AI., • No prior experience in the energy industry required. What We Offer • Competitive compensation and benefits package., • Opportunity to work on innovative ML and AI problems at global scale., • A culture that values scientific rigour, engineering excellence, and continuous learning., • Hybrid working arrangements and a commitment to work-life balance., • Career development pathways in a world-class technology organisation. Please note that the business title for this role, which will be reflected in the employment contract, is Senior Machine Learning Engineer. Please note that roles based out of SJS or Sunbury will move to Timber Square, Southwark, from Q4 2027 Why join us? At bp, we support our people to grow in a diverse and exciting environment. We believe that our team is strengthened by diversity. There are many aspects of our employees’ lives that are meaningful, so we offer benefits to enable your work to fit with your life. These benefits can include flexible working options, a generous paid parental leave policy, excellent retirement benefits, among others! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Reinvent your career as you help our business meet the challenges of the future. Apply now! Travel Requirement Negligible travel should be expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Cloud Platforms, Cloud Platforms, Collaboration, Communication, Configuration management and release, Continuous deployment and release, Creating a high performing team, Database Design, Digital Project Management, Documentation and knowledge sharing, Emerging technology monitoring, Facilitation, Information Security, Mentoring, Metrics definition and instrumentation, NoSql data modelling, Problem Solving, Relational Data Modeling, Risk Management, Scripting, Secure development, Service operations and resiliency, Software Design and Development, Solution Architecture, Source control and code management {+ 5 more} . Future Location Notice: This role will start in Sunbury, London. bp has announced a planned office move to Timber Square, London, with all positions currently advertised in Sunbury, including this one, expected to relocate around Q4 2027-Q1 2028. This presents an exciting opportunity for all employees and leaders to come together in one London location. The specific date of the move will be confirmed closer to the time. Legal Disclaimer: We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please _. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

Entity: Technology Job Family Group: IT&S Group Job Description: bp is an equal opportunity employer. We believe that diversity and inclusion drive innovation and are crucial to our success. We welcome applications from all qualified individuals regardless of race, colour, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristic. We are committed to making reasonable adjustments for candidates with disabilities or long-term conditions. If you require any adjustments during the recruitment process, please let us know. We are seeking an exceptional Expert Data Scientist to serve as a technical leader and architect of machine learning systems across the organisation. This is the highest individual contributor tier within the field — a role for engineers and scientists who not only build world-class ML systems but define how they are built. You will shape architectural direction, establish engineering and scientific standards, and drive the delivery of complex, high-impact ML products that span the journey from research and experimentation through to solutions. A core differentiator of this role is deep applied machine learning science: the ability to develop, validate, and deploy novel ML algorithms and scientific models as reliable, maintainable products — bridging the gap between innovative research and enterprise-scale deployment. You will influence multiple teams, mentor senior engineers, and drive step-change impact across business-critical, scientific, and R&D domains. • Provide technical leadership in the design and architecture of large-scale, production-grade ML systems and platforms across the organisation., • Own end-to-end delivery of complex ML solutions — from scientific problem framing and algorithm design through to deployment, operationalisation, and product delivery., • Apply advanced machine learning science to develop novel algorithms and models, ensuring they are rigorously validated and deployed as scalable, reliable, production-grade products., • Bridge the gap between scientific research and enterprise deployment — taking ML innovations from experimentation through to productised, maintainable solutions that deliver measurable value., • Drive engineering excellence across ML systems, including CI/CD, testing, observability, reliability, and MLOps guidelines., • Define technical standards, patterns, and protocols for ML engineering and applied ML science across teams., • Lead complex, multi-team technical initiatives and influence organisational direction through technical authority., • Evaluate and integrate emerging approaches — including generative AI, Agentic AI, advanced optimisation, and scientific computing — into scalable solutions., • Supply to and shape internal ML platforms, reusable frameworks, and shared scientific computing capabilities., • Mentor senior engineers and data scientists, raising the technical bar across the subject area., • Partner with business and scientific customers to shape ML strategy and identify high-value opportunities., • Present technical strategies, architectural decisions, and outcomes to senior leadership. Essential • MSc, PhD degree or equivalent experience in a quantitative field (e.g. Computer Science, Mathematics, Physics, Engineering, or related subject area)., • Hands-on experience designing, prototyping, productionizing, and scaling complex ML systems in production environments., • Deep and demonstrable expertise in machine learning algorithms, statistical modelling, optimisation techniques, and scientific computing — with a consistent record of applying these to deliver production-grade products., • Strong software engineering and system design expertise, including distributed systems, scalable architectures, and API design., • Advanced programming experience in languages such as Python, Go, Java, or C++., • Advanced SQL knowledge., • Strong experience with MLOps, production ML systems, model lifecycle management, and monitoring., • Experience working with large-scale data systems and distributed computing frameworks (e.g. Spark, Hadoop)., • Knowledge of experimental design, scientific methodology, and analysis., • Strong partner management and confirmed ability to influence large organisations without direct authority., • Demonstrated ability to lead through technical excellence and deliver high-impact, organisation-wide outcomes., • Continuous learning and improvement approach., • Deep experience in applied machine learning science — including developing novel algorithms and translating research into deployable, production-grade ML products., • Experience applying AI/ML to scientific, engineering, or R&D workflows — encompassing experimentation, simulation, optimisation, physics-informed modelling, and autonomous scientific workflows., • Strong experience with generative AI (LLMs, RAG, multimodal systems) and their deployment in production., • Experience designing or deploying Agentic AI systems — including autonomous agents, tool use, multi-agent orchestration, reasoning workflows, and agent-driven scientific discovery., • Consistent record of innovation through publications in peer-reviewed venues, invention disclosures (IDFs), patents, or open-source contributions in machine learning or AI., • Experience building ML platforms, reusable scientific computing frameworks, or internal tooling that accelerates delivery across teams., • Familiarity with model interpretability, uncertainty quantification, and advanced experimental frameworks., • No prior experience in the energy industry required., • Competitive compensation and benefits package., • Opportunity to lead and shape the future of ML and AI at one of the world's largest energy companies., • A culture that values scientific difficulty, engineering excellence, and continuous learning., • Hybrid working arrangements and a commitment to work-life balance., • Career development pathways in a world-class technology organisation. Please remember that the business title for this role, which will be reflected in the employment contract, is Staff Machine Learning Engineer. Please note that roles based out of SJS or Sunbury will move to Timber Square, Southwark, from Q4 2027 Travel Requirement Negligible travel should be expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Agility core practices, Agility core practices, API and platform design, Cloud Platforms, Collaboration, Communication, Configuration management and release, Continuous deployment and release, Creating a high performing team, Database Design, Digital Project Management, Documentation and knowledge sharing, Emerging technology monitoring, Facilitation, Information Security, Mentoring, Metrics definition and instrumentation, NoSql data modelling, Problem Solving, Relational Data Modeling, Risk Management, Scripting, Secure development, Service operations and resiliency, Software Design and Development {+ 7 more} . Future Location Notice: This role will start in Sunbury, London. bp has announced a planned office move to Timber Square, London, with all positions currently advertised in Sunbury, including this one, expected to relocate around Q4 2027-Q1 2028. This presents an exciting opportunity for all employees and leaders to come together in one London location. The specific date of the move will be confirmed closer to the time. Legal Disclaimer: We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please _. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

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Join to apply for the Time Scale Engineer role at National Physical Laboratory (NPL) 1 week ago Be among the first 25 applicants Join to apply for the Time Scale Engineer role at National Physical Laboratory (NPL) Our world-leading Time & Frequency department seek a Time Scale Engineer. ABOUT THE ROLE You will be joining our team at an exciting time - we maintain the UK’s National Time Scale, UTC (NPL), and are currently developing a new resilient Time Scale facility that will underpin our Critical National Infrastructure (CNI). This will address the risks associated with our dependency on global navigation satellite systems (such as GPS) that are vulnerable to both natural and intentional interference. As Time Scale Engineer, you will join a multi-disciplinary team of Scientists and Engineers in our National Timing Centre to develop new Time and Frequency infrastructure within the UK. You'll have a pivotal role in supporting robust systems for the core of the UK’s Time Scale, based on Atomic Clocks located at several UK sites. Key responsibilities: • Supporting through-life management of hardware assets; including, • Specification and procurement of equipment, • Contributing to engineering artefacts (e.g., compiling compliance reports or supporting obsolescence planning), • Testing & integration of new equipment (e.g., time interval counters), • Maintaining accurate records and contributing to information management, • Building domain-specific knowledge, • Ad-hoc data processing / analyses ABOUT YOU: Reporting to a Senior Engineer, you’ll play a pivotal role in the design of critical UK infrastructurethat pushes the boundaries of measurement accuracy for the UK’s new resilient Time Scale. Essential skills: • A degree in a relevant field of Engineering or Science (or equivalent experience), • A rigorous approach to problem solving and the ability to develop solutions to difficult problems, • Good time management with the ability to shift focus based on changing priorities Advantageous: • Experience in Time Scales, Atomic Clocks, or Time and Frequency measurement, • Experience working in engineering or research and development environments, • Experience working in a laboratory setting, • Scripting (e.g., using Python or Bash) We actively recruit citizens of all backgrounds, but the nature of our work in specific departments means that nationality, residency and security requirements can be more tightly defined than others. You will be asked about this throughout the recruitment process. To work at NPL, you will need to obtain BPSS security clearance. However, to work in this role in the Time & Frequency department, you will need to have an SC clearance with no restrictions, or you must have the ability to obtain an SC clearance. Please note: Applications will be reviewed, and interviews conducted throughout the duration of this advert therefore we may at any time bring the closing date forward. We encourage all interested applicants to apply as soon as practical. ABOUT NPL: The National Physical Laboratory (NPL) is a world-leading centre of excellence that provides cutting-edge measurement science, engineering and technology to underpin prosperity and quality of life in the UK. NPL and DSIT have strong commitments to diversity and equality of opportunity, and welcome applications from candidates irrespective of their background, gender, race, sexual orientation, religion, or age, providing they meet the required criteria. Applications from women, disabled, black, Asian and minority ethnic candidates in particular are encouraged. All disabled candidates (as defined by the Equality Act 2010) who satisfy the minimum criteria for the role will be guaranteed an interview under the Disability Confident Scheme. At NPL, we believe our success is a result of the diversity and talent of our people. We strive to nurture and respect individuals to ensure everyone feels valued by treating everyone on the basis of their own individual merits and abilities regardless of their own or perceived identity, as part of our commitment to diversity & inclusion, we hold memberships and accreditations to ensure we’re creating an environment where all our colleagues feel supported and welcome, please see our Diversity & Inclusion page. We are committed to the health and well-being of our employees. Flexible working and social activities are embedded in our culture to create a positive work-life balance, along with a broad range of benefits. Our values are at the heart of what we do, and they shape the way we interact, develop our people and celebrate success. To ensure everyone has an equal chance, we’re always willing to make reasonable adjustments to the recruitment process. If you would like to discuss, please contact us. As part of our commitment to diversity & inclusion, we signed up to the Institute of Physics' Project Juno in 2015 as a Juno Supporter. NPL were proud to be awarded Juno Practitioner status in 2018. NPL also joined Stonewall as a Diversity champion in 2015, participating in their annual Workplace Equality Index for the equality of LGBT+ community at NPL. In 2018, NPL became a member of the Business Disability Forum and joined the disability confident scheme as level 1 committed employer. To ensure everyone has an equal chance, we’re always willing to make reasonable adjustments to the recruitment process. 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