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Direct message the job poster from Akkar Interested in building software that powers real-time robotics systems? I’m partnered with a fast-growing defense tech startup that’s redefining how robotics and autonomy perform in the field. They’re looking for a Senior Full Stack Developer to design, build, and deploy scalable software that drives real-time control, telemetry, and analytics for advanced robotic platforms. This is your opportunity to work at the intersection of robotics, distributed systems, and modern web technologies, helping shape solutions that matter in real‑world operations. • Join a fast-growing company building real, deployable robotics and defense technologies, • Work at the cutting edge of real-time data, distributed systems, and high-performance frontends, • Collaborate with experts in autonomy and mission‑critical software, solving meaningful, high‑impact challenges, • Design, develop, and deploy end-to-end full-stack solutions for real-time robotics systems, • Build and integrate scalable backend services to process live telemetry and sensor data, • Develop high-performance frontend interfaces for control, visualization, and analytics, • Collaborate with robotics, DevOps, and product teams to take features from concept to deployment, • Support and improve CI/CD pipelines, testing frameworks, and deployment infrastructure, • Optimize system performance, latency, and reliability across both backend and frontend, • Strong experience with distributed systems, real-time (or near real-time) data processing, and scalable backend architectures, • Proficiency in modern frontend frameworks (React, Vue, etc.) for responsive, real-time applications, • Hands‑on experience with TypeScript and one or more system-oriented languages (Python, Go, C++, or Rust) This position requires candidates to be a UK or EU Citizen with eligibility to work in the UK. Excited to join? Apply now or reach out directly at – we’re looking to move quickly! This job is hybrid from their office in St Albans, UK. Even if you don’t meet all the requirements, we encourage you to apply – we may have other opportunities where your skills in web software development can make a strong impact. Mid‑Senior level Full‑time #J-18808-Ljbffr

• As the Staff Analytics Engineer for Cyber Analytics, you will set the technical direction for cybersecurity data products, ensuring they are trusted, scalable and built for impact., • You will drive data modelling standards, analytics architecture and engineering best practices, enabling high-quality insights, AI-powered analytics and secure self-service capabilities., • Partnering with security, platform and engineering teams, you will shape long-term strategy, champion data governance and AI responsibility, and mentor Analytics Engineers to deliver exceptional data products at scale., • Technical Leadership and Data Product Strategy: Define and drive the technical direction for cybersecurity data products, establishing engineering standards, best practices and operating models that enable the team to deliver trusted, scalable and high-value data solutions aligned to security and business objectives., • Analytics Architecture: Lead the design and evolution of the cybersecurity analytics architecture, defining data patterns, modelling approaches and data product frameworks that support reporting, advanced analytics, machine learning, GenAI and AI-powered analytics experiences at scale., • Data Integration, Transformation and Quality: Establish the strategic approach for data integration, transformation and quality management across the raw, trusted and curated layers of the data ecosystem, ensuring data products are reliable, governed, reusable and fit for purpose., • Data Modelling and Semantic Enablement: Define and govern data modelling standards and semantic layer design principles that enable consistent, discoverable and trusted data products, supporting self-service analytics, threat investigation and decision-making across security teams., • Engineering Excellence and Documentation: Champion engineering excellence by driving coding standards, testing frameworks, peer review practices and documentation approaches that improve quality, maintainability, consistency and knowledge sharing across the Analytics Engineering function., • Automation and AnalyticsOps: Lead the adoption of automation and DataOps practices that improve the deployment, testing, monitoring and operational management of data products, enhancing scalability, reliability and developer productivity., • AI and Analytics Enablement: Shape the strategy and technical approach for analytics agents and conversational analytics capabilities, enabling users to explore and investigate security and business data through natural language experiences while ensuring responsible AI adoption through appropriate governance, security controls and human oversight., • Data Governance, Security and Compliance: Establish and promote data governance, security and compliance standards across the cybersecurity analytics estate, ensuring sensitive data is protected and managed in accordance with organisational policies and regulatory requirements., • Cross-functional Leadership and Influence: Partner with security, engineering and data leaders to shape roadmaps, influence architectural decisions and align analytics capabilities with strategic priorities, communicating complex technical concepts clearly to both technical and non-technical stakeholders., • In addition to the above core accountabilities, I am also responsible for contributing to and supporting the recruitment, coaching, mentoring and development of Analytics Engineering talent, helping to raise technical capability and foster a culture of engineering excellence across the Cyber Analytics team., • Strong passion for data engineering, data modelling, data quality and building trusted, scalable data products that enable analytics, machine learning and AI-driven use cases., • Proven experience leading the design and delivery of enterprise-scale data products, defining technical strategy, architectural patterns and engineering standards while providing technical leadership across teams., • Expert programming experience with Python/PySpark and advanced proficiency in SQL for large-scale data transformation, optimisation and analytics workloads., • Extensive experience designing and implementing scalable data solutions on cloud platforms such as Databricks on Azure, including data lakehouse architectures, data modelling frameworks and data quality controls., • Deep understanding of analytics architecture, data modelling methodologies, semantic layer design, and approaches for delivering discoverable, governed and reusable data products., • Expertise in ETL and ELT frameworks for large-scale batch and near real-time processing, with hands-on experience using orchestration and transformation technologies such as Airflow and dbt., • Strong knowledge of software engineering best practices, including coding standards, code reviews, testing strategies, version control systems such as Git, and CI/CD processes., • Experience driving automation and DataOps practices that improve deployment, monitoring, reliability and operational efficiency of data products., • Experience developing dashboards, visualisations and self-service analytics capabilities using tools such as Tableau, enabling users to derive actionable insights from complex datasets., • Experience shaping or implementing analytics agents, conversational analytics capabilities, semantic layers or other AI-powered analytics solutions that enable users to explore and investigate data through natural language., • Understanding of responsible AI principles, including governance, security controls, evaluation frameworks and appropriate human oversight., • Strong leadership, mentoring and coaching skills, with the ability to develop Analytics Engineers, raise engineering standards and build high-performing teams., • Ability to influence stakeholders and communicate complex technical concepts, architectural decisions and data strategies to both technical and non-technical audiences., • Knowledge of cybersecurity principles, security operations and threat detection use cases, with experience applying data and analytics solutions to support cybersecurity outcomes., • Strong communication skills, both written and verbal to effectively engage with team and individuals involved in the project., • Strong analytical abilities, attention to detail and ability to empower users with self-service capabilities through the analytics platform., • Experience with collaborative development methods such as mob or ensemble programming. You might know us as a supermarket, technology company or even for our award-winning mobile network. Truth is, we’re all of those things, and much more. Our colleagues work with one goal in mind, helping to make every day a little better for our customers, colleagues and communities all over the world. No two customers are the same, neither are our colleagues. At Tesco, we champion a balance that lets you thrive both in and out of work. Spend 60% of your week collaborating with colleagues at our office locations or local sites and the rest remotely. Whether you're just kicking off your career, juggling passions, or navigating big life events, we're here to support you. We always welcome a conversation about flexible working, so talk to us throughout your application about how we can support. We're proud to be an accredited Disability Confident Leader, where everyone’s welcome. That’s why we commit to providing a fully inclusive and accessible recruitment process. #J-18808-Ljbffr

Talentmark is seeking a Senior Manager, Data Management for a long‑standing global pharmaceutical company. Hybrid role based at their EU headquarters in Hertfordshire. You will oversee data collection and processing across studies, manage outsourced vendors and internal teams in a highly matrixed environment. Key responsibilities include developing eCRFs, DMPs, validation specs, and data transfer specs, while contributing to protocol development and library enhancements. #J-18808-Ljbffr

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

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The Position In Patient Safety Central Operations, we drive the intake, processing, and submission of device safety reports and Individual Case Safety Reports (ICSRs). In this role, you will lead operational oversight, foster innovation through AI-augmented workflows, and ensure high-quality safety data outputs across a global footprint. Whilst our team manages safety reports for both medical devices and medicinal products, the successful candidate will focus primarily on medical devices. • Drive Operational Excellence: Lead the oversight of ICSR and medical device safety report processing to ensure compliance, quality, and alignment with regulatory standards and internal scientific requirements., • Oversee Global Performance & Vendors: Monitor workload, quality, and KPIs across global footprint and vendor partnerships, driving inspection readiness and continuous process improvement., • Lead Complex Projects & Process Innovation: Lead process improvements, and contribute to automation and AI innovations., • Manage Regulatory & Legislative Change: Impact-assess revised safety legislation (e.g., EU MDR/IVDR, FDA regulations) and lead process adaptations and training across the value chain., • Collaborate Globally: Build strong cross-functional networks across global teams, acting as a Subject Matter Expert and escalation point for safety case processing governance. You are a strategic, visionary safety professional with a passion for innovation, process optimization, and medical device vigilance. You thrive in agile, global matrix environments and excel at leading cross-functional teams without direct line authority. • Education: Degree in a relevant field (Postgraduate degree like PhD, PharmD, MSc, MD, or PV qualification strongly desired)., • Industry Experience: Minimum 3 years of industry experience, with a strong focus on medical device vigilance and pharmacovigilance operations., • Regulatory Knowledge: Solid understanding of global safety obligations and medical device regulations, including ISO 14155, ISO 20916, 21 CFR Part 812/820, EU MDR (2017/745), and EU IVDR (2017/746)., • Leadership & Influence: Proven track record in project management, vendor oversight, agile squad leadership, and influencing stakeholders across complex organizations., • Tech-Forward Mindset: Experience or strong interest in leveraging emerging technologies, such as Artificial Intelligence, for safety data delivery and quality oversight. At Roche, we embrace emerging innovations, like AI, to enhance the patient journey. If you’re passionate about new technology and thinking ahead, we want you to join us! A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact. Let’s build a healthier future, together. The statements herein are intended to describe the general nature and level of work being performed by employees, and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of Roche Products Ltd. At Roche Products we believe diversity drives innovation and we are committed to building a diverse and flexible working environment. All qualified applicants will receive consideration for employment without regard to race, religion or belief, sex, gender reassignment, sexual orientation, marriage and civil partnership, pregnancy and maternity, disability or age. We recognise the importance of flexible working and will review all applicants’ requests with care. At Roche difference is valued and we are proud to be an equal opportunity employer where you are encouraged to bring your whole self to work. We believe it’s urgent to deliver medical solutions right now – even as we develop innovations for the future. We are passionate about transforming patients’ lives. We are courageous in both decision and action. And we believe that good business means a better world. That is why we come to work each day. We commit ourselves to scientific rigor, unassailable ethics, and access to medical innovations for all. We do this today to build a better tomorrow. We are proud of who we are, what we do, and how we do it. We are many, working as one across functions, across companies, and across the world. We are Roche. #J-18808-Ljbffr

At Elizabeth Scarlett, we exist to create joy, inspire wonder, and protect wildlife - using art and design to connect people to nature, and to one another. By 2030, our goal is to have contributed over £2 million to wildlife conservation. As our Wholesale Trade Operations Manager, you will join a team that leads with kindness, dreams big and takes action together. You'll support our Wholesale Trade team to process orders flawlessly, and improve the systems that serve our bricks-and-mortar and online retail partners. The role covers day-to-day support through our peak trading period, as well as preparing the team for growth in 2027. Reporting to: Location: Hybrid: 3-4 days in the office, depending on peak trading needs (November-December), and up to 5 days during special events Employment type: Full Time, Permanent This role leads Wholesale Trade Operations for Elizabeth Scarlett across the UK and USA, owning the end-to-end wholesale process and fulfilment budgets. You'll make order fulfilment more accurate, efficient and resilient by getting retailer requirements right the first time, from production through to our Third Party Logistics (3PL) partners. You'll also improve stock allocation and build KPI reporting on delivery performance. This hands-on role requires a solid understanding of wholesale logistics, including EDI, routing guides and retailer requirements. You'll lead the Trade Operations team (currently 2 people) and own wholesale trade relationships with our UK and US 3PLs and carriers. You'll work closely with the Operations Director, as well as the Production, Merchandising, Finance and Sales & Partnership teams. You'll set up Wholesale Operations for long-term success by developing the team, planning capacity and driving automation to support the growth planned for 2027 and beyond. • Own the end-to-end wholesale process for the UK and USA - ensuring the 3PL receive, process and dispatch orders on time, and that every invoice is issued., • Set and optimise order-processing workflows and Standard Operating Practices (SOPs) across retail partners, drop-ship programmes, distributor replenishment and special trade orders., • Support your team to troubleshoot order issues, and implement root-cause solutions to prevent recurrence., • Develop end-to-end OTIF reporting against wholesale customers' expectations, and identify the causes of delays and shortages., • Lead peak season planning, including volume forecasts, 3PL capacity and readiness checklists., • Build contingency playbooks for disruptions such as EDI failures, carrier issues, customs holds and retailer system outages., • Deliver cost reductions without compromising service, with a clear view of how operational decisions affect margins., • Lead your team to become experts in retailer routing guides, compliance manuals & vendor requirements, and build playbooks for key partners., • Ensure compliance across carrier selection, delivery appointments, labelling, packing slips & shipment documentation, and record and raise any non-compliances., • Work with Production to get retailer requirements right the first time at manufacture., • Own chargeback tracking and investigation, and eliminate root causes., • Through your team - manage wholesale returns (damaged goods claims, customer returns, end-of-season buybacks and bulk returns), coordinating authorisations and credits with Sales and Finance., • Track return reasons to identify patterns and issues, • Own wholesale relationships with our UK and US 3PL partners - holding them accountable to wholesale SLAs through weekly and monthly reviews of OTIF , case pack accuracy, pallet quality, ASN compliance, and cost per case., • Build escalation and exception processes to resolve fulfilment issues quickly and minimise retailer penalties. 1. Inventory & Stock Allocation • Own pool stock and Available to Sell (ATS) inventory at our UK and US wholesale 3PLs, managing the stock reserve model with the Logistics and Inventory Manager, • Improve allocation and stock reservation to speed up order processing, reduce errors, and give the Sales & Partnership team clarity on stock available to sell., • Manage allocation when stock is constrained, working with Planning, Production and Merchandising to align availability and replenishment with customer PO commitments. 1. Systems, EDI & Automation • Own EDI connections with trading partners to ensure order transmission, ASNs and invoices are reliable. You’ll monitor connections, elevate issues and support new set-ups., • Work with the Finance and Systems Website teams to integrate and troubleshoot NetSuite, Mintsoft WMS, ShipHero WMS and EDI platforms for wholesale workflows., • Identify and drive automation that improves speed and reduces manual effort., • Lead your team with clear priorities, and guide them in developing and balancing transactional, improvement and strategic workstreams., • Build, manage and develop the Trade Operations team, owning hiring and capacity planning as the channel grows., • Provide holiday and absence cover within the team, using this hands-on experience to drive improvements., • Develop relationships between the Operations, Sales & Partnership and Finance teams as well as 3PLs., • Stay current on wholesale logistics trends, best practice and technology. Typical Key Performance Indicators • OTIF delivery rate to wholesale customers, • Order accuracy and error-free order percentage, • Cost per case shipped and year-on-year cost reduction, • Chargeback value and reduction rate Experience • 4-6 years of experience across wholesale trade operations, Business to Business (B2B) retail, supply chain and 3PL operations in a fast-growing goods business., • Demonstrated hands-on experience in improving and implementing processes and systems from order to delivery, including WMS (e.g., Mintsoft, ShipHero ), ERP (e.g., NetSuite ) and integration platforms (e.g., Patchworks and SPS )., • 2-4 years of team-leadership experience, including leading teams under high pressure and prioritising competing needs. Must-have skills • The ability to roll-up your sleeves and get into the details of a process, while also stepping back to understand the bigger picture, purpose, conflicts and synergies to address., • Proven success in quickly embedding yourself in cross-functional teams, working with people at every level of experience and accountability., • Exceptional organisational skills, able to manage multiple tasks across different channels, delivery dates, and priorities., • Comfortable building rapport with both internal teams and external partners., • A problem-solving mindset, with the ability to identify issues early and take ownership of resolving them., • Proficiency in Excel/Google Sheets for order tracking, reporting, and data management., • Excellent written and verbal communication skills in English. Nice-to-have • Knowledge of US trade operations and US wholesalers such as Dillards, Nordstrom and Von Maur, • A background in fashion, accessories, lifestyle, or consumer goods., • Experience using generative AI tools (e.g., Claude / Chat GPT) to work more efficiently without devolving decision-making. Mindset • Proactive and accountable . You spot issues early, raise concerns, and take ownership of fixing them., • Service led . You genuinely care about delivering an excellent customer experience., • Commercially aware . You understand how operational excellence impacts customer retention and brand reputation., • In the details and above . You can work through a routing guide line by line in the morning, then step back and redesign the process that caused the issue in the afternoon. Values fit • Kind, collaborative, and reliable - someone that teams trust to get things done., • Calm under pressure and comfortable managing competing priorities., • Excited to work for a brand blending creativity, commerciality, and purpose. At three months, you've led the team through peak, OTIF reporting is live for UK and US partners and chargebacks are tracked with their root causes identified. At six months, the end to end order process is efficient and effective in delivering the customer-expected OTIFs, SOPs and retailer playbooks are in place for key partners, causes of chargebacks are addressed, and the team, systems and 3PL capacity are ready for future growth volumes. You’re probably not the right fit if… • You've run warehouse or 3PL operations but haven't worked with retailer compliance, routing guides or chargebacks., • You prefer to set strategy and delegate the detail. This role is hands-on, especially through peak., • You're looking for a mature, fully systemised operation rather than the chance to build one. Salary, bonus & benefits • 10% performance bonus, • Private medical insurance, health & wellbeing discounts, stress support, • Income protection, life assurance & enhanced Pension contributions Flexibility and time • Immediate start, • Daily hours 0830-1700 with 1 hour lunch break (flexibility to start 0800-0930 if preferred), • Hybrid working (3-4 days in-office in Potters Bar), • Annual L&D budget (3% of salary), • Annual summer retreat (e.g. 42 Acres, Somerset), • £500 ES products per year at 60% team discount, • 25% friends and family discount Impact and ownership • Full ownership of the trade operation, with the autonomy to shape it as ES grows., • Direct contribution to our wildlife conservation mission., • Screening call with our Talent Acquisition Associate, • Interview with our Chief of Staff, • Final interview with our Operations Director, Chief of Staff and Wholesale Operations Manager Ready to join a purpose-driven brand and help us scale joy and conservation impact? #J-18808-Ljbffr

As Senior Manager, Data Management you will be primarily responsible for the direct management of clinical study activities as they relate to data collection and processing from study start up through ongoing oversight to completion. As appropriate, contribute to the selection, oversight of CRO perf

Draft and review Data Processing Agreements and other data protection contracts. Our client is a specialist legal consultancy focused on data protection, privacy and AI governance. This is a fully remote opportunity for an experienced data protection and privacy professional who can work independent

In Patient Safety Central Operations, we drive the intake, processing, and submission of device safety reports and Individual Case Safety Reports (ICSRs). Experience or strong interest in leveraging emerging technologies, such as Artificial Intelligence, for safety data delivery and quality oversigh

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

Platform Engineer to join the Batch Data Tools team within the Global Intelligence Platforms organization.You will work on Mobius, our Kubernetes-native data platform enabling scalable batch and streaming workloads across cloud environments.Responsibilities include building reliable data processing

Cameron Clarke Associates t/a talent-finder is hiring a Senior Data Protection & AI Governance Lawyer for a fully remote, consultant or permanent role. Based remotely in the UK, you will advise technology clients on UK GDPR, data processing agreements, and AI governance.

Residential Support Worker – Children’s Services - Glenrothes, Fife (KY7).Be the reason a child feels safe, supported, and heard.At Newcross Healthcare, we’re on a mission to help children and young people thrive.We’re looking for compassionate.If you’ve got experience working with childre

As a Data Scientist, you'll play a key role in turning data into insight-building machine learning models and analytical solutions that help us make better, more informed decisions across the business. You'll work across the full data science journey, from exploring and experimenting with rich datas

Product Testers are wanted to work from home in the UK to fulfill upcoming contracts with local and international companies.We guarantee 15-25 hours per week with an hourly pay of between £18 / hr.There is no payment required in order to apply or to work as an In-Home Usage Tester.You don't ha

As a Regional Senior Care Assistant with Barchester care homes, you'll deliver warm, empathetic and respectful care and support across a 20-mile radius to help our residents get the most out of life.On a practical level, you can expect to monitor the delivery of care when on duty, contribute to the

This is a casual, part-time role offering flexible working.As a Bank Housekeeping Assistant at a Barchester care home, you'll help to create a warm and homely environment that enables us to meet each resident's unique needs.Keeping the home clean and safe is no small task, which is why the role of a

Full Time position to work flexibly across both Days and Nights / Alternate weekend working.Full Time Position to work Nights / Alternative weekend working .We are looking for a compassionate Senior Care Assistant to support both residents and staff in their everyday lives.If you are someone who en

Pay rate advertised includes bank enhancement.This is a casual, part-time role offering flexible working.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 i

Childrens Residential Support Worker Temp to Perm 39 hours per week | £12.Immediate starts available We are currently recruiting for a Childrens Residential Support Worker to join a residential home supporting children aged 513 years with emotional and behavioural difficulties (EBD).This is a

Be part of making lives better as a Support Worker at Ormesby House in West Hill, Oxted, Surrey, and experience what delivering great healthcare should feel like.Use your knowledge, experience, and caring nature to make a positive difference to the lives of people with Mental Health conditions.Y

You'll also be answering the phone, redirecting calls and recording messages as required, and managing emails and faxes if needed, along with various office and admin duties such as filing, word processing, maintaining databases and photocopying for other senior staff.

Data Scientists are also responsible for promoting data science across Tesco and representing Tesco across the external Data Science community. GB/careers/JobDetail/Data-Scientist-Neural-Net-Forecasting/181995 Back to job search results Tesco UK • Welwyn Garden City • Full-Time • Working

Build and own ML models and data workflows on large, messy datasets. Design experiments to assess data structure, signal quality, and robustness. Alternative or unstructured data used in modelling or forecasting (e.

You will design, train and optimise models using event data, optical and GPS data to support player selection and development. The FA in England is seeking an England Men's Insights Senior Data Scientist to drive evidence-based insights across performance functions.

Monday to Friday, 10:00am - 2:30pm.Full-time equivalent (FTE) salary of 28,300, pro rata to 22.Our client is a highly regarded organisation based in Gosforth, offering a fantastic working environment, a supportive team culture, and the opportunity to play a key role in creating an exceptional experi

A leading recruitment firm in the UK is seeking a Lead Data Scientist specializing in biomedical AI. You will lead a talented team applying advanced machine learning to biomedical challenges such as drug discovery and health data analysis.

Exposure to modern data science tooling, including LLMs and RAG‑style approaches. Experience working at enterprise scale, ideally in trading or similarly data‑intensive domains. Senior Data Scientist – Energy Trading.

Lovable is seeking a data scientist to build its data and analytics muscle. You’ll work cross-functionally across growth, product and marketing to level up our understanding of users, uncover opportunities, and empower teams with actionable insights for data-driven decisions. You’ll combine anal

Data Scientists are also responsible for promoting data science across Tesco and representing Tesco across the external Data Science community. Finally, as a Data Scientist, you will be expected to drive innovation and take ownership of aspects of the project development, support the Lead Data Scien

Experience working within cloud or modern data environments (Microsoft Fabric, Azure, or Databricks). This is an exceptional opportunity for a candidate who wishes to help shape DS within an established business that has embraced new data platforms through smart business decisions and a collaborativ

Understanding of data engineering concepts (ETL,data pipelines) and automation tools such as Apache Airflow. You will play a pivotal role in building advanced analytical models and methodologies, integrating Veeva Data Cloud products with complex European healthcare data assets. Build and design HCP

Broadgate is seeking a data-driven professional to lead the development and implementation of credit decisioning models, owning the full model lifecycle from problem definition through deployment and monitoring. You will build ML and statistical models for credit risk, affordability and pricing, dev

Working on the end-to-end data solution including understanding complex business challenges, designing solutions, working with large and small data sets (including 3rd party and internal data of a wide variety), using cutting-edge machine learning or Generative AI techniques. Experience working both

Tesco Data Science invites applications for a Simulation Data Scientist to solve challenging supply chain and business problems using simulation. Based in Welwyn Garden City, you will design models at varying fidelities, integrate them across tools, and use real data to inform decisions.

A leading recruitment firm in the United Kingdom is seeking a Senior Data Scientist to advance AI-driven biomedical discovery. The role involves designing machine learning models for complex biomedical datasets and collaborating with interdisciplinary teams.

Data Scientists are also responsible for promoting data science across Tesco and representing Tesco across the external Data Science community. Finally, as a Senior Data Scientist, you will be expected to drive innovation and take ownership of aspects of project development, support the Lead Data Sc

The role requires expertise in pricing, data modelling and data science, with strong SQL/Python/R skills, and a collaborative leadership style to coach colleagues and deliver high-quality results. Sellick Partnership is recruiting a Pricing Data Scientist in the West Midlands with a focus on develop

EvolutionIQ in the United Kingdom is seeking a Staff Data Scientist on the Data Science & Insights team to act as the analytics expert for internal stakeholders, using data and models to help them make better decisions. You will explore new datasets as EvolutionIQ enters new markets, provide rapid r

Reporting to the Lead Data Scientist, you'll play a key role in turning complex business challenges into scalable, data-driven solutions that improve customer and business outcomes. You'll partner with stakeholders across analytics, technology, engineering and business teams to turn data into action

As a Senior Data Scientist, you will architect cutting-edge AI frameworks, transform vast enterprise data into actionable insights, and help double the number of patients accessing life-changing medicines. Partner with data engineers and global IT teams to ensure AI solutions are scalable, secure, a

This role involves steering machine learning approaches to derive insights from extensive customer data and is integral to managing and mentoring a small team. Candidates should have strong predictive modelling and Python skills, along with experience in personal lines pricing, to contribute effecti