Trabajos statistics en AbingdonCrear alertas

Quality Inspector Do not pass up this chance, apply quickly if your experience and skills match what is in the following description. A great opportunity is now available for an experienced Inspector of precision engineered/machined components. You will take ownership of quality control from incoming materials through to final delivery - dimensional inspection, NCR management, corrective/preventive actions and ISO 9001 compliance. You'll liaise directly with customers and suppliers. This role will provide a path to progress into a full Quality Management role. The key responsibilities include: In-Process inspection (During Manufacture) Use of Programmable and Manual CMM inspection Upkeep, Maintenance and calibration of Metrology gauges and equipment to ISO 9001 Overseeing goods in/out inspection Raising and investigating NCRs with implementation of corrective/preventive measures Presentation of KPI statistics for monthly review Maintenance of ISO 9001 accreditation Key skills and experience: Previous CMM inspection experience A knowledge and experience of CNC Machining with an 'Inspection' background. You will be fully familiar with, and have experience of working within an ISO 9001 environment. Good communication skills with the ability to speak with customers and suppliers, when required. You will be able to work well in a team environment and have the necessary 'people skills' to develop and improve the quality culture of the business, having confidence and a discerning judgment on when to raise issues, improvements. xrnqpay Interested, please contact Graeme at Vibe Recruit on or apply immediately Vibe Recruit is acting as an Employment Agency in relation to this vacancy.

Jan 11, 2023 We’re hiring a postdoc to join my group in the Department of Computer Science at Oxford with the Machine Learning & Global Health network on machine learning for public policy and global health (EPSRC funded). See Help lead research in computational statistics and machine learning and drive impact with governments, NGOs, and international organizations! Some recent publications: Any questions, please get in touch or reach out to anyone from the Machine Learning & Global Health Network: #J-18808-Ljbffr

At Wild Bio we are radically enhancing crops to feed the world sustainably and promote a wilder planet. Wild plants have had half a billion years to evolve natural solutions for thriving in almost every environment on Earth. Our proprietary genetics platform harnesses these wild innovations to enhance the world’s most important crops. Wild-enhanced crops would simultaneously boost farm yields and promote gigaton-scale carbon mitigation strategies. If you’re looking for a start-up that has enormous potential for impact on growers, consumers, and the planet, please read on. Wild Bio is a well-funded, fast-paced Oxford University spin-out working from state-of-the-art labs and offices at Milton Park, Oxfordshire and breeding operations in Bury St Edmunds, Suffolk. We are about to enter an exciting phase of growth and are looking for a driven, and curious Head of Wheat Breeding to join us and significantly contribute to delivering the change we believe in. More at www.wildbioscience.com Our Values Our work is guided by three core values that define who we are and how we approach our mission: • Curiosity: We fuel our desire to explore the unknown, pushing the boundaries of knowledge and sparking innovation. We ask questions, seek answers, and embrace lifelong learning., • Community: We believe in the strength and support gained through collaboration and inclusion. As part of a global community, we nurture connections to drive meaningful impact for both people and planet., • Courage: We face challenges head‑on, take calculated risks, and stand up for our beliefs. Our bravery propels us to take action, even in the face of adversity. If these values resonate with you, we invite you to join our team of passionate scientists and innovators working at the cutting edge of bioscience. Location We’re headquartered in Milton Park, a business and technology park in Oxfordshire and our breeding station is located near Bury St Edmunds in Suffolk. This role will be located at our breeding station, however periodic travel to our headquarters in Milton Park will be required. The successful candidate will be required to provide proof of eligibility to work in the UK. Job requirements • PhD in Plant Breeding and Genetics, or closely related field, is preferred., • Strong demonstrated knowledge in plant breeding, genetics, agronomy, and application of marker assisted selection, genomic selection, Double Haploids, life cycle shortening for improvement of cereals., • Experience as a plant breeder of wheat or other small grains, preferably in a successful commercial program, is necessary., • Knowledge of the target production region, associated biotic and abiotic stresses, and relevant germplasm base would be highly advantageous., • Knowledge of cereal chemistry principles and their application to breeding for the key end use markets, • Ability to use software for data analyses, management, presentation, and reporting; general competence in statistics and data management is required, • Strong interpersonal, organizational, and analytical skills are needed Leadership skills and experience in managing people and programs is essential, • International exposure would be a plus Job responsibilities The Head of Wheat Breeding at Wild Bioscience is a senior operational and technical leader responsible for directing the organization’s plant genetic development strategy and crop portfolio pipeline. Key responsibilities: • Develop and implement breeding strategies to create new varieties and build a competitive portfolio., • Manage breeding trials, make selections, pursue variety registration, purify seed stocks, and release cultivars for commercial grain production., • Propose, develop, and implement the most appropriate methods and innovations for wheat breeding: strategies for reducing the breeding cycle, optimising the use of molecular marker technologies, growth room facilities, disease screening, and quality evaluation., • Build and manage the wheat breeding team and ensure that adequate training and direction is provided in order that the team members complete their own responsibilities to a high standard., • Create a strong team ethos., • Co-create target product profiles for the UK wheat market together with the marketing lead., • Support trait/event selection and optimize pipelines for trait introductions., • Ensure that all team members followed the company standards for health, safety and the environment., • Propose an annual budget for the UK wheat breeding effort, manage the approved budget, and provide updates as required by the Senior Management Team., • Develop and maintain relationships with public sector wheat research both within the UK and globally and manage germplasm exchange with public and private collaborators., • Provide technical support and information as required for product development and marketing purposes., • Represent Wild Bioscience and present varieties and information in field days, grower meetings, regional and national meetings. Job benefits • Group life cover x 4 of base salary, • Pension scheme with a 5% Company contribution, • Private medical insurance including dental and optical, • Enhanced maternity and paternity leave, • Regular company socials, • Training and development opportunities, • Flexible working opportunities, • Opportunity to work with cutting edge scientists #J-18808-Ljbffr

C++ Software Developer – Hedge fund – Oxford C++ Software Developer is required for exciting and innovative Hedge Fund based in Oxford. The successful C++ software engineer will be joining the talented and driven engineers in the execution team, working on company’s custom order management system. The core performant systems are written in C++, with a lot of the analysis and supporting code in Python. A good knowledge of C++ is essential and Python will be beneficial. Familiarity with Linux systems, Bash scripting, version control and networking will be advantageous. Experience in finance with order management systems or execution in particular is a nice to have. • 1st class or a 2:1 from Oxbridge Degree in a relevant field such as Computer Science, Engineering, Maths, Statistics, Physics or demonstrable experience., • 2+ years experience in C++ and Python skills, SQL, Pandas, • Familiarity with Linux, bash scripting and version control, • Passion for writing high-standard, modern, robust and well-tested code, • TCP/IP networking, • Low latency systems and FIX messaging protocol is a nice to have., • Working alongside other extremely talented and driven engineers, • Extremely lucrative salary, bonus and benefits, • Greenfield C++/Python work, both challenging and rewarding #J-18808-Ljbffr

The successful candidate will engage in innovative research, lecture at various levels, and contribute to the MSc in Statistical Science.

Description Please note that we are open to considering candidates who require visa sponsorship (subject to eligibility and company approval) Department: Tech - Software Engineering Location: Oxford, UK Please note that we are open to considering candidates who require visa sponsorship (subject to eligibility and company approval) Aurora helps governments, investors, and utilities make billion‑dollar decisions on the journey to net‑zero. Based in Oxford, you will work in a dynamic and growing engineering organisation that builds cloud-based software to track and model power grids around the world. As a Senior Software Engineer on the AI team you will build systems where LLMs autonomously plan, and call tools, to navigate large, multi‑dimensional, fast‑evolving data. Your work will amplify the value of Aurora's data, models, and forecasts to researchers, investors, and policy‑makers around the world, and directly impact the decisions that drive the decarbonisation of grids around the world. You will work in a small, fast‑paced team that releases changes multiple times a day. The successful applicant will be an excellent problem solver, a strong team player, and a proven ability to take big projects from conception to production. • Manage a team of Software Engineers and Data Scientists, • Own projects from end-to-end, from first conversations with users through to production systems, • Work with modelling and data teams to embed proprietary insights into production systems, • Deploy agentic systems that enable fast, multi‑dimensional, data-driven decisions Required attributes: • 10+ years developing impactful, mission‑critical backend systems, • The ability to work in fast‑paced, high‑ownership environments, • Excellence in one or more language (we mostly use Python), • Strong discipline in testing and automation, • Experienced, judicious user of AI coding tools, • Previous experience managing teams of 5+ engineers, • An exceptional team player - low‑ego, high‑initiative, • Genuine interest in the transformation of energy markets and infrastructure Desirable attributes: • Hands‑on experience building LLM‑based systems, • Experience testing non‑deterministic systems, • Understanding of statistics and inferential methods, • LangGraph, RAG, MCP, MLOps, IaaC, AWS Some of the benefits we include are: • Private Medical Insurance, • Dental Insurance, • Parental Support, • Salary‑Exchange Pension, • Employee Assistance Programme (EAP), • Local Oxford Discounts, • Cycle‑to‑work Scheme, • Flu Jabs At AER, we are committed to offering flexibility in the way we work. Most of our roles are hybrid with a mix of in‑office/home working and potentially adjustable working hours. Let’s discuss what works for you and AER during the interview process. The Company is committed to the principle that no employee or job applicant shall receive unfavourable treatment on grounds of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage or civil partnership, pregnancy, and maternity. #J-18808-Ljbffr

A great opportunity is now available for an experienced Inspector of precision engineered/machined components. You will take ownership of quality control from incoming materials through to final delivery - dimensional inspection, NCR management, corrective/preventive actions and ISO 9001 compliance. You’ll liaise directly with customers and suppliers. This role will provide a path to progress into a full Quality Management role. The key responsibilities include: • In-Process inspection (During Manufacture), • Use of Programmable and Manual CMM inspection, • Upkeep, Maintenance and calibration of Metrology gauges and equipment to ISO 9001, • Overseeing goods in/out inspection, • Raising and investigating NCRs with implementation of corrective/preventive measures, • Presentation of KPI statistics for monthly review, • Maintenance of ISO 9001 accreditation, • Previous CMM inspection experience, • A knowledge and experience of CNC Machining with an 'Inspection' background., • You will be fully familiar with, and have experience of working within an ISO 9001 environment., • Good communication skills with the ability to speak with customers and suppliers, when required., • You will be able to work well in a team environment and have the necessary 'people skills' to develop and improve the quality culture of the business, having confidence and a discerning judgment on when to raise issues, improvements. #J-18808-Ljbffr

Job Description To assist with the preparation & the execution of marketing research studies by supporting the pre-field part of the project, and then compiling, analyzing, and interpreting marketing research data, writing client reports, and constructing/ delivering presentations To coach junior analysts (where relevant) on projects and to help build their confidence & expertise. • Discusses test designs, and writes proposals for simple projects, • Assists in pre-field project set up (for example: questionnaire preparation, sample composition, database design), • Consults with clients regarding general study queries, • Coaches more junior analysts in the development of their projects, • Supports more junior analysts in the analysis of study data and provides report conclusions and recommendations, with minimal supervision, • Reviews & finalizes reports with strong story telling skills, • If relevant, ensures that forecastsummaries fit into the report story line adequately, • Prepares and presents study results to clients in-person or virtually, • Drives client satisfaction by providing insights and actionable recommendations during presentations, • Develops strategic understanding of industry trends, competition and opportunities of NielsenIQ, • Ensure the services provided to clients are timely and precise according to client business needs and specifications while meeting the company's quality standards, • Good teamwork skills, • Knowledge of Microsoft Word, Excel, and PowerPoint, • Knowledge of statistics, research techniques, and experimental procedures, • Knowledge of marketing research, • Knowledge of in-market data, • Strong Business English knowledge, both verbal and written (and local language if required), • Project management skills, • Strong business and financial acumen (including business environment and client), • Understanding the principles of forecasting, • Strong problem solving skills and analytically curious, • Demonstrates strong leadership and people coaching skills, • High level communication skills, • Consultative story telling, • Comfortable working in a digital enabled environment, • Ability to work within a virtual environment, • University degree in Marketing, Economics or related field a must, preferred Postgraduate or MBA, • 5 years' experience in Marketing Research, • Strong analytical mind and excellent numerical skills, • Knowledge on advanced analysis, methods, and tools, • Good organisational skills, and strong people coaching skills, • Strong interpersonal skills, • Business acumen, • Awareness of the clients' needs, • Flexible working environment, • Volunteer time off, • LinkedIn Learning, • Employee-Assistance-Program (EAP) NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ's principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ's AI Safety Policies and Guiding Principles: global/en/info/niqs-ai-safety-policies/ NIQ is the world's leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights - NIQ delivers the Full View. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world's population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the global/en/news-center/diversity-inclusion #J-18808-Ljbffr

You will maintain metrology gauges and equipment to ISO 9001, document all inspection results, investigate NCRs with corrective/preventive measures, present KPI statistics, and liaise with customers and.

We are looking for an experienced, dynamic and qualified 'In-process' inspector to take control of all aspects of quality control from material supply, through policing in-process inspection, to final delivery along with a disciplined and 'hands on' approach to dimensional inspection. The role will involve customer and supplier liaison, management of NCR's & development of corrective/preventative actions in line with ISO 9001 standards and further development/improvement of the system. • Inspecting, confirming and authorising in-coming materials and returns from outsources., • Approving In-Process production and validating 'First-Off' measurements, • Upkeep, Maintenance and calibration of Metrology gauges and equipment to ISO 9001, • Documenting all inspection results on company's internal systems, • Raising and investigating NCR's with implementation of corrective/preventive measures, • Presentation of KPI statistics for monthly review, • Liaison with customers and suppliers including conducting audits where required., • Maintenance of ISO 9001 accreditation as it relates to the Production, • Ideally you will have a mechanical engineering background, working within manufacturing environment., • You will be able to interpret engineering drawings and support production improvement initiatives. Have experience using a wide range of measurement equipment and programmable CMM, • You will be able to demonstrate and pass on your skills and experience of quality inspection. The candidate will be fully familiar with, and have experience of working within an ISO 9001 environment., • The ideal candidate will be able to work in a team environment, have the necessary 'people skills' to develop and improve the quality culture of the business and flexibility to support other departments. Have a 'Continuous improvement' focus The role offers the opportunity to progress to 'full' ISO9100 Quality Management position as well as ancillary roles such as Health & safety #J-18808-Ljbffr

Arctoris is expanding and seeking a skilled Cell Biologist, preferably with experience working in automated laboratory environments. The successful candidate will play a crucial role in both client‑focused projects and internal discovery and automation initiatives. • Design, plan, manage and deliver internal and client research projects., • Perform in vitro experiments and assays to an exceptional standard., • Maintain mammalian cell cultures across a variety of scientific fields and disease settings (e.g., cancer, neuroscience, cardiovascular)., • Develop and optimise cell‑based assays using the automation platform., • Analyse, interpret and present data (written reports and presentations) of experiment results., • Keep thorough documentation of all work performed., • Follow standard operating procedures, and establish new SOPs where required., • Provide feasibility assessments of projects to support the sales team., • Act as a subject‑matter expert and communicate effectively with clients in scientific meetings., • Stay up to date with relevant scientific and technical developments., • Work well within a team to optimise processes, teach others and learn., • Contribute ideas to technology development strategies and maintain a culture of continual improvement., • Education to Ph.D. level in cell biology or related fields; or equivalent experience in scientific R&D., • 2+ years of post‑doctoral or industrial drug discovery experience., • Experience of independent, self‑directed work., • Proven ability to disseminate research results (reports, presentations, peer‑reviewed publications)., • Assay development expertise for target ID/validation and/or drug screening, with a strong understanding of assay statistics (e.g., Robust Z’, %CV)., • Broad understanding of the drug discovery process., • Experience handling large datasets, including data QC and analysis., • Experience working in an industrial setting., • Broad‑based experience in cell biology, ideally including mammalian cell culture and complex cell models (e.g., 3D cell models, iPSC or other primary cell systems, or co‑cultures) and optimisation of culturing conditions., • Implementation, performance, and troubleshooting of a broad range of cell‑based assays (flow cytometry, imaging microscopy, plate‑based assays such as NanoBRET, HiBiT, ELISA, Luciferase, HTRF, AlphaLISA)., • Practical experience with one or more gene‑engineering and gene‑modulation technologies (e.g., CRISPR or RNAi‑mediated gene modulation) for cell line engineering or genetic perturbation studies., • Expertise in other common cellular and molecular techniques (qRT‑PCR, transfection, SDS‑PAGE, Western blotting)., • Expertise in neurodegenerative diseases, immunology, oncology or immuno‑oncology, with advanced techniques including primary cell cultures and 3D cell models., • Proficiency in advanced cellular and molecular biology techniques (e.g., multiparameter flow cytometry, high‑throughput/high‑content imaging and the associated analysis)., • Experience and knowledge of research processes and activities complying with the Human Tissue Act., • Experience with robotic liquid handlers and programming/troubleshooting (Hamilton‑Vantage with Instinct V software)., • Experience executing assays on an automated platform and programming robotic arms for automation platform integration., • Experience automating complex scientific processes (ideally cell‑based assays), including troubleshooting and method validation., • Basic programming skills, ideally in Python or C#., • Experience setting up and/or running high‑throughput screening (HTS) assays., • Dedicated, passionate, and agile team constantly innovating and celebrating successes., • Flexible and collaborative culture with extensive development and progression opportunities., • Inclusion, diversity and belonging are core to our success., • Highly competitive reward package, pension, life insurance, long‑term absence insurance and other benefits., • Generous sick pay scheme and enhanced family‑friendly policies., • Health and well‑being support., • Minimum 28 days annual leave, with generous flexible and remote working opportunities., • Regular team events, fresh fruit and snacks, and many opportunities to socialize and build relationships. Arctoris is a technology‑enabled drug discovery services company headquartered in Oxford. We combine automated wet‑lab experimentation, proprietary analytical pipelines, and deep scientific expertise to accelerate the design and optimisation of new therapeutics. Our Ulysses® automation platform and data infrastructure generate reproducible, high‑quality datasets at scale, forming the foundation for AI‑driven discovery capabilities across oncology, immunology, and neurodegeneration. Join Arctoris to contribute to a multidisciplinary environment where data architecture, analytical tooling, and computational pipelines directly advance the creation of life‑changing medicines. #J-18808-Ljbffr

Research developer is required for an exciting and innovative Hedge Fund based in Oxford. The successful research developer will be working closely with world‑class researchers building systematic trading strategies, implementing them, monitoring them, and, importantly, helping execute. You'll work on a wide variety of problems, whether optimizing models themselves, software engineering, strategy analysis, or understanding market structure. As a Research Developer you will: • Collaborate with researchers to develop systematic trading strategies., • Implement, monitor, and refine trading models and associated software., • Support the execution of trades and help with operational monitoring., • Analyze market structure and contribute to strategy analysis., • Advanced degree in a quantitative field such as mathematics, statistics, physics, engineering, or computer science., • Keenness to get involved with the financial markets., • Ability to participate in operational support and monitoring., • Attention to detail and a desire to understand complex issues., • Experience in trading or execution roles., • Experience with equity/credit markets., • Familiarity with Linux., • Working alongside other extremely talented and driven engineers., • Extremely lucrative salary, bonus, and benefits. Location: Oxford, England, United Kingdom #J-18808-Ljbffr

Overview In this Scientist role, you will develop novel computational methods to translate sequencing data into actionable biology insights and support new product development. You will work within a multidisciplinary team applying advanced analytics to large-scale datasets in genomics and healthcare. The position emphasizes methods development—creating new algorithms and ML/AI approaches to drive real-world impact. This hybrid, permanent role offers collaboration with researchers and engineers, with opportunities to shape scalable workflows and be at the forefront of translational science. Pay / Benefitscompetitive salary and packagebonushybrid workingflexible working patternscareer progression opportunitiessignificant compute resources ResponsibilitiesDesign and build novel algorithms for genomics, sequencing, and large-scale data analysisDevelop and evaluate machine learning models for complex scientific questionsValidate and benchmark new computational methods on public and proprietary datasetsCollaborate with bioinformaticians and software engineers to deploy methods in scalable workflowsCross-team collaboration to translate research into practical applicationsOwn scientific projects from concept to delivery Key requirementsStrong quantitative background with experience creating new computational methodsMSc or PhD (completed or near completion) in Computational Biology, Computer Science, Mathematics, Statistics, Physics, ML, Bioinformatics, or related fieldExperience developing novel algorithms or ML models, preferably in genomics or large-scale biological dataSolid programming skills in Python; knowledge of other languages (C/C++, Julia, R, Rust) beneficialExperience delivering computational tools, models, or analytical methodsExperience with sequencing data, cloud computing, workflows, ML Ops, or large-scale data infrastructure is advantageousInterest in leading projectsleadership potentialcollaborationproblem-solvingPythonmachine learning / MLgenomics / sequencing data

Scottish Power Transmissions are looking for an Assets Quality Advisor to join them on a 12 month ongoing contract. Quality Advisor – Assets Scottish Power Transmissions Aspect House, Blantyre, Glasgow/hybrid style working with travel to sites across Scotland, and possible overseas 12-month initial contract with scope of extension Full time, Mon – Fri Inside IR35, Umbrella and PAYE options available BUSINESS AND DEPARTMENT The Quality Team sits within Networks Delivery Scotland and provides business wide leadership, strategy and direction integrating business and group policies, programs and processes in support of operational excellence, legal compliance and safe working practices. This includes delivering quality services and advice to 200+ professionals in SPT and SPT Senior Management, reporting and analysis for SPT portfolio including proposing and leading annual improvement initiatives and for all training in SPT. DESCRIPTION As the Quality Advisor – Assets, you will support the Senior Quality Advisor responsible for a multi-disciplinary team of professionals assigned to multi-million-pound energy construction projects. You will be responsible for quality processes throughout the free issue asset life cycle, from specification at order stage to handover to our Operations colleagues once the asset is live on the network. You will plan, facilitate and execute inspection and monitoring processes and report analysis on a monthly basis to senior management review meetings. ACCOUNTABILITIES • Take ownership of the Supplier Non-Conformance cycle and implement changes, • Support Factory Acceptance Tests from a quality perspective and prepare and present quality data for stakeholders (International and European travel may be required), • Design and roll out quality training around assets as required to support processes at site, • Prepare detailed reports on Asset quality, including recommendations for mitigating risk, • Support Quality Delivery Team with NCRs and use Quality Tools to identify root cause, • Evaluate the quality of Assets to Identify potential risks and areas for improvement, • Report inspection statistics to senior management monthly meetings, • Conduct ISO 9001:2015 supplier quality audits to drive improvements and work with suppliers and contractors to resolve quality escapes and ensure supplier compliance with contractual requirements, • Communicate with site managers and contractors with any potential issues regarding Free Issue Equipment and ensure corrective actions are implemented, • Conduct Gap Analysis to identify risks within supplier quality related issues SKILLS, KNOWLEDGE AND EXPERIENCE • Significant experience in a quality role, • IT proficient in Microsoft applications, • Significant process and Lead or Internal audit experience, • Proven ability to work and influence in a team environment, • Experience of supplier quality management is advantageous, • Strong people skills, presentation skills, and the ability to train, • Team player / Good communication and interpersonal skills MINIMUM CRITERIA • Trained Quality Lead or Internal auditor (ISO 9001:2015), • Experience in attending and conducting FAT's and Supplier Audits, • Experience in delivering result driven reports to senior management, • Experience and understanding of HSEQ management systems, preferably within a commercially focused utility, service or construction business., • Current valid driving licence, • Proven experience implementing new processes, engaging with stakeholders, • Understanding of quality tools such as 8D, 5WHY's, A3, RCCA, • Experience working in helping reduce cost of poor quality JBRP1_UKTJ

University of Oxford is seeking a Senior Medical Statistician to lead statistical analyses for OCTRU trials and contribute to protocols, ethics submissions, and grant proposals. The post requires a postgraduate degree in medical statistics and strong expertise in complex longitudinal data analysis. The role offers a hybrid working pattern after an initial full-time period, with supervision of junior statisticians and a focus on high-quality research output across oncology, surgery and #J-18808-Ljbffr

The role will support the development of a privacy-preserving generative AI ecosystem designed to protect personal and sensitive corporate data by design, including data residency, anonymisation and secure deployment protocols and principles, as well as model-based data protection achieved during both training and inference time. Working within a multidisciplinary and multi-partner environment, the postholder will research technical concepts core to the program and contribute towards developing them into dependable systems and components that can be used in live settings, while also supporting the broader technical development of the Lab and its collaboration with CODAS and other project partners. Additionally, the postholder will create publishable material based on the work carried out in the program, and attend events such as conferences and workshops to disseminate the progress made. • Lead or substantially contribute to technical research workstreams within assigned CODAS tracks, setting experimental direction and ensuring delivery of high-quality outputs within programme timelines., • Design, develop and validate machine learning models, algorithms and approaches for privacy-preserving generative AI, including areas such as differential privacy, federated learning, and secure inference., • Serve as a technical research lead on assigned workstreams; design novel approaches or adapt existing methods to meet programme objectives beyond the current state of the art., • Contribute to the translation of research outcomes into proof-of-concept systems, toolkits and deployable components that form part of the programme deliverables., • Work with internal colleagues and external project partners to understand technical requirements, constraints and delivery priorities., • Mentor and support junior colleagues (ML engineers and research associates), scoping and delegating tasks aligned to their development and the needs of the programme., • Contribute to scientific publications, technical reports, conference presentations and other dissemination activities in support of the programme’s commitment to advancing the field., • Champion best practices in ML research, software design, experimental rigour, reproducibility and responsible AI across the team., • Communicate complex technical findings and trade‑offs clearly to both technical and non-technical stakeholders, including partner organisations and programme leadership., • A Master’s degree or PhD in Computer Science, Machine Learning, Statistics, Mathematics, or a closely related discipline, or equivalent research or industry experience., • 5+ year work experience in relevant field., • A strong and demonstrable track record in applied ML/AI research or development, with recognised expertise in one or more relevant areas such as privacy-preserving ML, generative AI, large language models, or federated learning., • Deep understanding of modern ML methods, their assumptions and limitations, and the ability to reason about appropriate application in novel or constrained settings., • Strong software engineering foundations in Python, including ML frameworks, version control, CI/CD, and reproducible experimental practices., • Strong skills handling challenging data that requires understanding, preparation, organisations and augmentation before use for the purposes of ML/AI research or development., • Experience working across the full ML lifecycle — from problem framing, experimentation and prototyping through to evaluation, integration and deployment., • Ability to contribute to scientific publications, technical reports, and the dissemination of research findings to a wide audience., • Proven ability to mentor or support junior colleagues and scope technical work aligned to team and programme goals., • Strong communication skills, with the ability to explain complex technical concepts and trade‑offs clearly to both technical and non-technical audiences., • Ability to work effectively in technically complex and ambiguous environments involving multiple stakeholders., • Experience with privacy-preserving ML techniques such as differential privacy, federated learning, secure computation, or membership inference resistance., • Experience with generative AI systems, large language models, agentic AI approaches, or evaluation methodologies for frontier AI., • Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps tooling., • Contributions to open-source AI or ML projects, or a track record of published research in relevant areas., • Experience working in a multi-partner programme involving industry, government or academia., • Experience in consulting, client-facing AI delivery, or regulated industry contexts such as insurance, financial services, or public-sector programmes., • Familiarity with agentic systems design, MCP/A2A protocols, or inference-time privacy controls., • Familiarity with innovating with agentic-driven workflows and toolsets for research and prototyping tasks, such as Claude, Claude-Code, CoPilot, etc., • 28 days annual leave with the option to buy/sell up to 5 days holiday., • Private Medical & Permanent Health Insurance., • 4× Annual salary Life Assurance., • Health and wellbeing benefits including money back on health-related expenses (optician, dental, physio, etc.), flu jab vouchers, virtual GP service, employee assistance programme, and enhanced family‑friendly policies (baby bonus & pension advisory service)., • Financial and lifestyle support such as financial flexibility through Wagestream, annual season ticket loans, cycle scheme, and £250 towards driving lessons for you and dependents., • Subject to company performance and completion of probation. Aioi Nissay Dowa Europe is committed to promoting equal opportunities in employment. Employees and job applicants will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation (Protected Characteristics). At AND‑E, equal opportunity is more than a policy—it’s a promise. We welcome applications from all individuals regardless of age, disability, gender identity, marital status, pregnancy, race, religion, sexual orientation, or any other protected characteristic. Reasonable adjustments: If you require any adjustments to support you during our recruitment process, please let us know. We’re committed to making the process accessible and are happy to help. #J-18808-Ljbffr

Contract: 18-month fixed-term contract from signing, running until the end of February 2028 Location: Oxford, hybrid preferred, though we'd consider fully remote for the right person Aioi R&D Lab – Oxford is an AI R&D company based in Oxford, on a mission to harness AI to understand, predict, and manage risk, helping build a safer, more resilient society. We sit at the intersection of academia and industry, working with Oxford's professors, researchers, and graduates alongside commercial spinouts and partner companies, to turn frontier research into AI that actually ships rather than just gets published. Our work spans applied AI for insurance and adjacent industries, including supply chains, nature, autonomous driving, and the emerging challenges nobody's solved yet, alongside deep research of our own into agentic AI, privacy-preserving technologies, trustworthy AI, complex systems modelling, and quantum computing. We build AI products and solutions for insurers, businesses, and public-sector organisations worldwide, and run innovative research projects that push these technologies further, helping people make better decisions in an uncertain world. You’ll work across the Lab's broader project portfolio, including our Pricing Engine and other Lab initiatives, building the software and infrastructure that turns research and product ideas into things that actually run. It's a senior, hands-on engineering role with real scope to lead technically and, where it makes sense, take on line management. • Contribute directly to the development, testing, and maintenance of Lab projects, products, and initiatives., • Build robust, maintainable, and operationally sound software and infrastructure using our core stack: React, TypeScript, Material UI, Node.js, Python, PostgreSQL, Docker, Kubernetes, Helm, and AWS., • Work with ML engineers, ML scientists, product managers, and external project partners to understand technical requirements, constraints, and delivery priorities., • Support other engineers through code review, pair programming, and mentoring, and champion engineering best practice across the Lab., • Troubleshoot technical, data, and integration issues arising during development and deployment., • Drive improvements to internal tooling, engineering standards, reusable frameworks, and deployment practices across the Lab., • Communicate technical trade-offs, risks, and progress clearly to both technical and non-technical stakeholders., • Step into a Technical Lead role when needed, leading a team of engineers to deliver against agreed timescales., • Take on Line Management duties when needed, including regular syncs, mentoring, pastoral care, and an annual review cycle., • 10+ years of commercial software experience., • A degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or another relevant STEM discipline, or equivalent practical experience., • Familiarity with our core stack, with strong experience in at least two of: Python, TypeScript, relational databases, APIs, Docker, Kubernetes, Kubeflow, AWS., • Strong core software engineering and DevOps skills, including CI/CD, version control, containerisation, and cloud deployment., • A solid grasp of engineering best practice, producing clean, maintainable, well-tested code., • Comfort with code review, giving clear, actionable, constructive feedback to others., • Proven effectiveness in a remote-first, iterative agile environment., • Experience working across the full lifecycle, from experimentation and prototyping through to integration and operationalisation., • Ability to work effectively in technically complex, ambiguous environments involving multiple stakeholders., • Strong communication skills, including explaining technical issues and trade-offs clearly to non-specialists. Bonus points: experience architecting complex distributed software systems for cloud environments, experience deploying ML, AI, or data-driven systems into production or near-production settings, or prior Technical Lead or line management experience. • A senior, genuinely hands-on engineering role, not one that quietly turns into pure management., • Broad exposure across the Lab's project portfolio, from the Pricing Engine to whatever comes next, rather than being tied to a single narrow codebase., • Real scope to shape the engineering standards and tooling the whole Lab relies on. #J-18808-Ljbffr

In this role, you will assist in the design and set-up of clinical trials within a multidisciplinary team including (but not limited to) the Chief Investigator and Trial Manager as well as provide written statistical input into protocols and ethics committee submissions. You will also provide advice on data collection, CRF development, data validation and data cleaning and data management. You will prepare statistical analysis plans (SAP) and produce statistical programs for analysis of study data, including generating, validating and monitoring randomisation schedules and performing interim and final analyses. The post is located at the Botnar Institute for Musculoskeletal Sciences, Oxford. We have an exciting opportunity for a Medical Statistician (Grade 6) to join the Oxford Clinical Trials Research Unit (OCTRU) Statistics Team. OCTRU is one of the largest academic clinical trials units in the UK. (www.octru.ox.ac.uk). It undertakes trials of all phases across oncology, surgery, experimental medicine, orthopaedics and rheumatology. The Statistics Team led by Professor Jonathan Cook is looking for a recent post-graduate statistician to join an expanding statistical team. New team members will undergo a training programme in clinical trial statistics and related processes during their first year. The post is based within the Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford. The University of Oxford is a stimulating work environment, which enjoys an international reputation as a world-class centre of excellence. Our research plays a key role in tackling many global challenges, from reducing our carbon emissions to developing vaccines during a pandemic. The Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS) is part of the Medical Sciences Division and is the largest European academic department in its field, running a globally competitive programme of research and teaching. This position is available now but would be suitable for a current MSc Student in Medical Statistics with a view to starting in the summer or autumn of 2027. In the latter instance there may be an opportunity to undertake a summer project with the team. What We Offer As an employer, we genuinely care about our employees' wellbeing and this is reflected in the range of benefits that we offer including: • An excellent contributory pension scheme, • 38 days annual leave, • A comprehensive range of childcare services, • Family leave schemes, • Cycle loan scheme, • Discounted bus travel and Season Ticket travel loans #J-18808-Ljbffr

188890 Oxford Clinical Trial Research Unit (OCTRU) Medical Statistician Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS) Grade 6: Salary in the range of £35,681 - £41,636 per annum. This is inclusive of a pensionable Oxford University Weighting of £1,730 per year. This is a full-time, fixed term position for 2 years. We have an exciting opportunity for a Medical Statistician (Grade 6) to join the Oxford Clinical Trials Research Unit (OCTRU) Statistics Team. OCTRU is one of the largest academic clinical trials units in the UK. (www.octru.ox.ac.uk). It undertakes trials of all phases across oncology, surgery, experimental medicine, orthopaedics and rheumatology. The Statistics Team led by Professor Jonathan Cook is looking for a recent post-graduate statistician to join an expanding statistical team. New team members will undergo a training programme in clinical trial statistics and related processes during their first year. The post is based within the Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford. The University of Oxford is a stimulating work environment, which enjoys an international reputation as a world-class centre of excellence. Our research plays a key role in tackling many global challenges, from reducing our carbon emissions to developing vaccines during a pandemic. The Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS) is part of the Medical Sciences Division and is the largest European academic department in its field, running a globally competitive programme of research and teaching. In this role, you will assist in the design and set-up of clinical trials within a multidisciplinary team including (but not limited to) the Chief Investigator and Trial Manager as well as provide written statistical input into protocols and ethics committee submissions. You will also provide advice on data collection, CRF development, data validation and data cleaning and data management. You will prepare statistical analysis plans (SAP) and produce statistical programs for analysis of study data, including generating, validating and monitoring randomisation schedules and performing interim and final analyses. The post is located at the Botnar Institute for Musculoskeletal Sciences, Oxford. This position is available now but would be suitable for a current MSc Student in Medical Statistics with a view to starting in the summer or autumn of 2027. In the latter instance there may be an opportunity to undertake a summer project with the team. As an employer, we genuinely care about our employees’ wellbeing and this is reflected in the range of benefits that we offer including: • An excellent contributory pension scheme, • 38 days annual leave, • A comprehensive range of childcare services, • Family leave schemes, • Discounted bus travel and Season Ticket travel loans, • Membership to a variety of social and sports clubs This role also offers the opportunity for hybrid working after an initial full time office based period You must hold a postgraduate degree in statistics (or a closely related subject), a substantial part of which relates to medical statistics, or equivalent experience and be fluent in key aspects of study design and analysis, and aware of the latest statistical techniques. You must have good verbal and written communication skills including the ability to explain complex statistical issues to non-statisticians together with the ability to analyse problems, develop and test solutions, and make judgements. Additionally, you will have a proficient knowledge of statistical software (i.e., R or Stata). You will have good project management skills including the ability to plan and prioritise short and longer-term goals to ensure that all necessary deadlines are met simultaneously for around 4 substantive, and a number of smaller, projects. Proficiency in statistical programming and experience of producing statistical reports and contributing to peer-review publications are desirable. The University of Oxford is committed to equality and valuing diversity. All applicants will be judged on merit, according to the selection criteria. If you have any queries regarding the role, please email . Interviews will take place during the week commencing 9 November 2026 and will be face to face. Please quote reference 188890 in all correspondence. Salary (£) : Salary in the range of £35,681-£41,636 per annum. #J-18808-Ljbffr

OCTRU, within the NDORMS at the University of Oxford, seeks a Medical Statistician (Grade 6) to join its Statistics Team. You will assist in trial design and setup, provide statistical input to protocols and ethics submissions, and develop SAPs and analysis programs. The post is based at Oxford with a training programme in clinical trial statistics and related processes during the first year; there may be a hybrid working option after an initial office-based period. #J-18808-Ljbffr

We are seeking to recruit three Senior Machine Learning Engineers to join our team on fixed term contracts until the end of 2027 with a view to be made permanent for the right candidates. These are hybrid roles, offering a combination of at home and on‑site working. We’re Aioi R&D Lab – an AI tech hub in one of the fastest‑growing insurance companies. We research and develop AI systems that catapult insurance from a slow‑moving, traditional past into a data‑driven, technology‑lead and society‑defining future. We’re looking for dynamic, driven professionals like you to help evolve our business in new directions. You’ll need first‑class credentials and a proactive attitude to help us drive the change that underpins our mission. As a Senior Machine Learning Engineer, you will support the development of a privacy‑preserving generative AI ecosystem designed to protect personal and sensitive corporate data by design, including data residency, anonymisation and secure deployment principles. Working within a multidisciplinary and multi‑partner environment, the postholder will help translate research and technical concepts into dependable systems and components that can be used in live settings, while also supporting the broader technical development of the Lab and its collaboration with CODAS and other project partners. If you’d like to be part of our brighter future, and share in our success, we’d love to hear from you. • Design, develop, test and maintain machine learning and AI software in support of the CODAS project and related R&D Lab initiatives., • Contribute to the delivery of technical components for a sovereign AI ecosystem, including ML services, data processing pipelines, evaluation tooling and deployment‑ready applications., • Support the translation of research outputs into robust, maintainable and operationally viable systems., • Work with internal colleagues and external project partners to understand technical requirements, constraints and delivery priorities., • Help adapt AI and ML approaches to privacy‑sensitive, security‑conscious and regulated deployment contexts., • Contribute to the integration of technical solutions into project infrastructure, workflows and partner environments., • Troubleshoot technical, data and integration issues arising during development and deployment., • Support the development and improvement of internal tooling, engineering standards, reusable frameworks and deployment practices across the Lab., • Communicate technical trade‑offs, risks and progress clearly to both technical and non‑technical stakeholders., • Degree in Computer Science, Mathematics, Statistics, Physics, Engineering or another relevant STEM discipline, or equivalent practical experience., • 5+ year work experience in relevant field., • Strong software engineering capability in Python, including writing clean, maintainable, well‑tested and well‑documented code., • Experience developing and deploying machine learning, AI or data‑driven systems in production or near‑production settings., • Experience with generative AI systems, LLM‑enabled applications or evaluation pipelines., • Experience with cloud platforms, MLOps tooling, model serving or platform engineering., • Advanced use of Linux, Docker, version control, CI/CD and service‑oriented deployment practices., • Experience working across the lifecycle from experimentation and prototyping through to integration and operationalisation., • Experience with data pipelines, APIs, system integration or user‑facing AI applications., • Ability to work effectively in technically complex and ambiguous environments involving multiple stakeholders., • Strong communication skills, including the ability to explain technical issues and trade‑offs clearly to non‑specialists., • Experience with privacy‑preserving, secure or compliance‑sensitive technical environments., • Experience working in multi‑partner programmes involving industry, government or academia., • Experience in regulated industries such as insurance, financial services, public sector or national‑scale infrastructure contexts., • Familiarity with agentic systems design, MCP/A2A protocols, or inference‑time privacy controls., • Familiarity innovating with agentic‑driven workflows and toolsets for both research and prototyping tasks, such as Claude, Claude‑Code, CoPilot, etc. We’re committed to your growth, providing the support to excel in your current role whilst offering opportunities to step into new challenges and drive your career forward. We realise that we need to be a good fit for you above all else – so here’s what you can enjoy about AND‑E: • Recognised as the Best Large Insurance Employer: We are proud to have been named the Best Large Insurance Employer for 2023 at the prestigious British Insurance Awards., • Unmatched Work‑Life Balance, • Competitive Salaries and Benefits Package: We offer competitive salaries that recognise your skills and expertise., • Health and Wellbeing Benefits – Including money back on health‑related expenses (optician, dental, physio, etc.), flu jab vouchers, virtual GP service, employee assistance programme and enhanced family‑friendly policies (baby bonus & pension advisory service)., • Financial and Lifestyle Support – Offers financial flexibility through Wagestream, annual season ticket loans, cycle scheme and £250 towards driving lessons for you and dependents., • Subject to company performance and completion of probation Aioi Nissay Dowa Europe is committed to promoting equal opportunities in employment. Employees and job applicants will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation (Protected Characteristics). At AND‑E, equal opportunity is more than a policy—it’s a promise. We welcome applications from all individuals regardless of age, disability, gender identity, marital status, pregnancy, race, religion, sexual orientation, or any other protected characteristic. Reasonable adjustments: If you require any adjustments to support you during our recruitment process, please let us know. We’re committed to making the process accessible and are happy to help. #J-18808-Ljbffr

188924 OCTRU Senior Medical Statistician, In this role, you will lead, or undertake the senior statistical role in, the analysis of large and complex data that have been collected or are currently being collected by trials on the OCTRU portfolio octru/trials-portfolio as well as provide written statistical input into protocols and ethics committee submissions. You will also assist in and sometimes leading the development and submission of grant proposals to major national and international agencies, including industry, charities, research councils and the government. You will prepare and/or approve statistical analysis plans (SAP) where appropriate and the preparation of statistical programs for analysis of study data. Furthermore, the post-holder will play a key role in quality assurance within the OCTRU Statistics Team. You will be expected to be able to work independently and supervisor more junior staff on project work. The post is based at the Botnar Institute for Musculoskeletal Sciences. A pattern of hybrid working (involving part office, part remote location) will be possible with the agreement of your line manager., You must hold a postgraduate degree in medical statistics (or near to completion) or have equivalent experience and have specialist knowledge in analysis of complex and longitudinal data. You must have considerable experience working as a statistician, including statistical consulting, designing clinical research, contributing to grant applications, active running of research, analysing data and paper writing for peer-reviewed journals. Additionally, you will have a high level of proficiency in statistical programming in Stata and/or R. Experience of working with and supervising early career statisticians, as well as experience of working within a UKCRC clinical trials unit, is desirable. Grade 8: Salary in the range of £49,119 - £58,265 per annum. This is inclusive of a pensionable Oxford University Weighting of £1,730 per year. This is a full-time (part-time at minimum of 60% FTE will be considered), fixed term position for 3 years. An exciting opportunity has arisen for a Senior Medical Statistician based at the Oxford Clinical Trials Research Unit (OCTRU) within the Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS) at the University of Oxford. The OCTRU Statistics Team, led by Professor Jonathan Cook, is looking for an experienced medical statistician to join the Senior Management Team. Working under the supervision of a Lead Statistician, the post-holder will contribute to the design, conduct, analysis and presentation of results of collaborative clinical research projects, mostly randomised clinical trials, across the different clinicals areas. OCTRU is one of the largest academic clinical trials unit in the UK (www.octru.ox.ac.uk). It undertakes trials of all phases across oncology, surgery, experimental medicine, orthopaedics and rheumatology. The University of Oxford is a stimulating work environment, which enjoys an international reputation as a world-class centre of excellence. Our research plays a key role in tackling many global challenges, from reducing our carbon emissions to developing vaccines during a pandemic. The Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS) is part of the Medical Sciences Division and is the largest European academic department in its field, running a globally competitive programme of research and teaching. • An excellent contributory pension scheme, • 38 days annual leave, • A comprehensive range of childcare services, • Family leave schemes, • Cycle loan scheme, • Discounted bus travel and Season Ticket travel loans, • Membership to a variety of social and sports clubs, • This role also offers the opportunity for hybrid working after an initial full time office based period #J-18808-Ljbffr

The University of Oxford’s Oxford Clinical Trials Research Unit (OCTRU) Statistics Team invites applications for a Medical Statistician (Grade 6) to contribute to the design and analysis of clinical trials within the NDORMS environment. You will prepare statistical analysis plans (SAPs), develop statistical programs, advise on data collection, CRFs, data validation and cleaning, and perform interim and final analyses in collaboration with the trial team. #J-18808-Ljbffr

We’re AND‑E – one of the fastest-growing insurance companies leading the way in connected mobility protection. And we need you to help drive our next phase of growth. We’re looking for dynamic, driven professionals like you to help evolve our business in new directions. You’ll need first‑class leadership credentials to bring our people with you on this journey and take us to the next level. You’ll be a Lead Machine Learning Engineer. The role will combine technical leadership, delivery leadership and line management responsibility for ML engineers within Aioi R&D Lab. It will help shape ML engineering best practice, support solution design, mentor junior engineers, and lead multidisciplinary teams across delivery engagements. In addition to this leadership responsibility, the role will make a meaningful hands‑on contribution to technical delivery, acting as a part‑time individual contributor on selected projects while providing oversight, coordination and quality assurance across multiple initiatives in parallel. The role will also lead use case discovery, support pre‑sales opportunities in collaboration with the commercial team, oversee the ongoing maintenance and improvement of deployed solutions, promote reuse of shared frameworks, and ensure technical decisions, risks and concerns are communicated clearly to non‑technical stakeholders. If you’d like to be part of our brighter future, and share in our success, we’d love to hear from you. BE THE NEXT BIG THING, NOW. • Line manage and develop ML engineers, providing coaching, mentoring, feedback and performance support; contributing to hiring, onboarding and capability development within the ML engineering function., • Maintain a meaningful individual contribution to technical delivery on selected projects, alongside leadership responsibility across multiple engagements., • Collaborate with the Lead ML Scientist and Principal Engineer to establish and embed best practice in ML engineering across the Lab., • Lead multidisciplinary teams of ML engineers, ML scientists and software engineers, ensuring effective delivery practices, team communication and continuous improvement., • Mentor and develop junior ML engineers, including supporting their technical training and the ongoing development of ML engineering capability across the Lab., • Support solution design and provide technical leadership to ensure ML systems are robust, scalable and maintainable., • Provide oversight, coordination and quality assurance across multiple concurrent projects, identifying and managing technical and delivery risks across engagements, escalating where appropriate., • Contribute hands‑on to delivery where required, particularly on complex or high‑priority engagements., • Lead use case discovery and help shape AI and ML opportunities with relevant stakeholders., • Support pre‑sales activity in collaboration with the commercial team, including technical scoping and solution shaping., • Partner with the Project Management function to scope, plan and support delivery engagements., • Oversee the maintenance and continuous improvement of deployed solutions., • Drive reuse of shared frameworks, standards and tooling across projects., • Communicate technical decisions, risks and concerns clearly to non‑technical audiences., • PhD or MSc in Computer Science, Mathematics, Statistics, Engineering, Physics or another relevant STEM discipline, or equivalent practical experience., • Extensive years of experience in machine learning engineering, software engineering, or a related technical role, including experience delivering production‑grade ML systems and leading technical work across teams or projects., • Strong software engineering background, with experience building and delivering machine learning or data‑driven systems in production or near‑production environments., • Experience leading or managing machine learning engineers or other technical contributors in a delivery‑focused setting., • Experience supporting pre‑sales, technical discovery or opportunity shaping in collaboration with commercial or business development teams., • Ability to provide technical leadership across solution design, engineering quality, deployment approaches and ongoing maintenance of ML‑enabled systems., • Experience working across the lifecycle of AI or ML solutions, from use case discovery and scoping through to delivery, deployment and continuous improvement., • Strong understanding of engineering best practice, including code quality, testing, documentation, maintainability and reuse., • Experience working collaboratively in multidisciplinary teams, including ML engineers, ML scientists, software engineers, project managers and non‑technical stakeholders., • Experience with cloud platforms, CI/CD, containerisation, model deployment and operational support for production systems., • Ability to communicate technical decisions, risks and trade‑offs clearly to both technical and non‑technical audiences., • Strong problem‑solving, prioritisation and judgement in ambiguous, fast‑moving environments., • Experience contributing hands‑on to technical delivery while also leading multiple projects or workstreams in parallel., • Experience establishing or embedding best practice in ML engineering, software delivery or MLOps within a team or function., • Experience in regulated, enterprise or operationally complex environments., • Experience promoting reuse through shared frameworks, tooling, templates or engineering standards., • Experience supporting maintenance, supportability and continuous improvement of deployed AI or ML solutions. We're committed to your growth, providing the support to excel in your current role whilst offering opportunities to step into new challenges and drive your career forward. We realise that we need to be a good fit for you above all else – so here’s what you can enjoy about AND‑E: • Recognised as the Best Large Insurance Employer: We are proud to have been named the Best Large Insurance Employer for 2023 at the prestigious British Insurance Awards., • Unmatched Work‑Life Balance., • Competitive Salaries and Benefits Package: We offer competitive salaries that recognise your skills and expertise. We champion choice, flexibility, and balance in both work and home life. Our commitment to diversity, equity, and inclusion ensures everyone feels valued and supported – including embracing neurodiversity and providing the tools needed to thrive. We like to think our benefits package is one of the best, focusing on colleagues’ health, wealth, and lifestyle. We offer: • 28 Days annual leave with the option to buy/sell up to 5 days holiday*, • Private Medical & Permanent Health Insurance*, • 4 x Annual salary Life Assurance*, • Health and Wellbeing Benefits: Including money back on health‑related expenses (optician, dental, physio, etc.), Flu Jab vouchers, Virtual GP service, Employee Assistance Programme, and enhanced family‑friendly policies (baby bonus & pension advisory service), • Financial and Lifestyle Support: Offers financial flexibility through Wagestream, annual season ticket loans, cycle scheme, and £250 towards driving lessons for you and dependents., • Subject to company performance and completion of probation Aioi Nissay Dowa Europe is committed to promoting equal opportunities in employment. Employees and job applicants will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation (Protected Characteristics). At AND‑E, equal opportunity is more than a policy—it’s a promise. We welcome applications from all individuals regardless of age, disability, gender identity, marital status, pregnancy, race, religion, sexual orientation, or any other protected characteristic. Reasonable adjustments: If you require any adjustments to support you during our recruitment process, please let us know. We’re committed to making the process accessible and are happy to help. #J-18808-Ljbffr

FindTutors is looking for passionate Probability and Statistics tutors to join our growing online teaching community.

Contribute to recruitment, onboarding and succession planning activities to support the continued growth of the statistics function. Degree qualified in Statistics, Mathematics or a related technical discipline. Strong expertise in statistics, analysis and performance measurement gained within a com

FindTutors is looking for passionate Statistics tutors to join our growing online teaching community.

Abbott’s Diabetes Care team in Witney is seeking a Statistics & Analysis Manager to provide technical and people leadership across Clinical and R&D projects.

We're currently recruiting in our Abingdon (A34) location.Working 30 hours per week, paying up to £14.Kitchen Team Leader – Abingdon (A34) – Premier Inn .Join our team at Premier Inn Abingdon (A34) as a Kitchen Team Leader and move your Chef career forward.You’ll run the kitchen day to day �

FindTutors is looking for passionate Probability and Statistics tutors to join our growing online teaching community.

Leisure Receptionist - Elstree.The Role Outline: Your Shift at a Glance.Your focus is to be the very first person to offer a warm and friendly welcome to all members and guests, whether they are walking through the doors or calling up.You will ensure the efficient operation of the Leisure Reception

FindTutors is looking for passionate Probability and Statistics tutors to join our growing online teaching community.

We're currently recruiting in our Oxford South (Didcot) Premier Inn.Working 30 hours per week, paying up to £14.Kitchen Team Leader – Oxford South (Didcot) Premier Inn.Join our team at Oxford South (Didcot) Premier Inn as a Kitchen Team Leader and move your Chef career forward.You’ll run the ki

FindTutors is looking for passionate Probability and Statistics tutors to join our growing online teaching community.

We're currently recruiting in our Dublin City Centre - Jervis Street location.Kitchen Team Leader – Dublin City Centre - Jervis Street – Premier Inn .Join our team at Premier Inn Dublin City Centre - Jervis Street as a Kitchen Team Leader and move your Chef career forward.You’ll run th

FindTutors is looking for passionate Probability and Statistics tutors to join our growing online teaching community.

We're currently recruiting in our Oxford South (Didcot) Premier Inn.Working 30 hours per week, paying up to £14.Kitchen Team Leader – Oxford South (Didcot) Premier Inn.Join our team at Oxford South (Didcot) Premier Inn as a Kitchen Team Leader and move your Chef career forward.You’ll run the ki

FindTutors is looking for passionate Statistics tutors to join our growing online teaching community.

As a Bank Senior Care Assistant at a Barchester care home, you'll look after the different needs of our residents to enable us to deliver quality, person-centred care and support.Your role will involve supervising and inspiring a team of dedicated Care Assistants alongside the Deputy General Manager

FindTutors is looking for passionate Statistics tutors to join our growing online teaching community.

We sell the world's best chicken.We've done it for a long old time - since 1939, when the idea of.Now, we proudly serve 1000+ communities across the UK and Ireland, bringing the grit, pride and iconic reputation that started in Kentucky all those years ago.We come to work to be ourselves, and to mak

FindTutors is looking for passionate Statistics tutors to join our growing online teaching community.

We sell the world's best chicken.We've done it for a long old time - since 1939, when the idea of.Now, we proudly serve 1000+ communities across the UK and Ireland, bringing the grit, pride and iconic reputation that started in Kentucky all those years ago.We come to work to be ourselves, and to mak

FindTutors is looking for passionate Probability and Statistics tutors to join our growing online teaching community.

We sell the world's best chicken.We've done it for a long old time - since 1939, when the idea of.Now, we proudly serve 1000+ communities across the UK and Ireland, bringing the grit, pride and iconic reputation that started in Kentucky all those years ago.We come to work to be ourselves, and to mak

We're currently recruiting a dedicated Retail Supervisor to help ensure the smooth running of the operations in CH&CO on a part time basis, contracted to 30 hours per week.As a Retail Supervisor, you will use your skills to maintain a high standard of quality work.In return, you will have the chance

We sell the world's best chicken.We've done it for a long old time - since 1939, when the idea of.Now, we proudly serve 1000+ communities across the UK and Ireland, bringing the grit, pride and iconic reputation that started in Kentucky all those years ago.We come to work to be ourselves, and to mak