93 jobs found

Data Engineer Up to £65,000 An exciting opportunity has arisen for a Data Engineer to join an organisation undertaking a significant transformation of its data and analytics landscape. As a Data Engineer, you will play a key role in designing and building the foundations of a scalable, cloud-based data estate. Working within a growing data function, you will help develop the pipelines, frameworks and governance capabilities needed to deliver data across the business. This position offers the opportunity to work with modern technologies including Azure Databricks, contributing to both the migration programme and the long-term evolution of the data platform. You will be involved in everything from designing robust data solutions and engineering high-quality datasets through to establishing best practices and improving platform performance. For engineers who enjoy solving complex data challenges, building modern data platforms and driving meaningful change through technology, this role offers the chance to make a genuine impact while working on a large-scale transformation programme. Key Responsibilities Supporting the migration from a legacy SQL-based environment to Azure Databricks. Designing and developing scalable data solutions using Databricks, Python and PySpark. Building and maintaining robust data pipelines, transformation frameworks and curated data layers. Implementing governance, security and data management best practices through Unity Catalog. Optimising data models and datasets to support analytics, reporting and self-service BI requirements. Working with stakeholders to understand data needs and deliver trusted, accessible data products. Contributing to data architecture decisions and promoting modern engineering standards and best practices. Skills & Experience Strong hands-on experience with Azure Databricks. Experience building data pipelines using Python and/or PySpark. Understanding of Delta Lake, lakehouse architectures and modern data platform design. Experience working with Unity Catalog for data governance and access management. Strong SQL development, optimisation and data modelling expertise. Experience working within Azure data environments and modern cloud-based data platforms. What's On Offer? Up to £65,000 salary. Hybrid working model. Opportunity to play a key role in a large-scale Databricks migration programme. Ongoing professional development and certification support. Chance to influence the future direction of the organisation's data platform. If you are looking to work with Azure Databricks at scale and be part of a major modernisation programme, this role offers the chance to develop your skills while making a tangible impact across the organisation.

Data Engineer Up to £65,000 An exciting opportunity has arisen for a Data Engineer to join an organisation undertaking a significant transformation of its data and analytics landscape. As a Data Engineer, you will play a key role in designing and building the foundations of a scalable, cloud-based data estate. Working within a growing data function, you will help develop the pipelines, frameworks and governance capabilities needed to deliver data across the business. This position offers the opportunity to work with modern technologies including Azure Databricks, contributing to both the migration programme and the long-term evolution of the data platform. You will be involved in everything from designing robust data solutions and engineering high-quality datasets through to establishing best practices and improving platform performance. For engineers who enjoy solving complex data challenges, building modern data platforms and driving meaningful change through technology, this role offers the chance to make a genuine impact while working on a large-scale transformation programme. Key Responsibilities Supporting the migration from a legacy SQL-based environment to Azure Databricks. Designing and developing scalable data solutions using Databricks, Python and PySpark. Building and maintaining robust data pipelines, transformation frameworks and curated data layers. Implementing governance, security and data management best practices through Unity Catalog. Optimising data models and datasets to support analytics, reporting and self-service BI requirements. Working with stakeholders to understand data needs and deliver trusted, accessible data products. Contributing to data architecture decisions and promoting modern engineering standards and best practices. Skills & Experience Strong hands-on experience with Azure Databricks. Experience building data pipelines using Python and/or PySpark. Understanding of Delta Lake, lakehouse architectures and modern data platform design. Experience working with Unity Catalog for data governance and access management. Strong SQL development, optimisation and data modelling expertise. Experience working within Azure data environments and modern cloud-based data platforms. What's On Offer? Up to £65,000 salary. Hybrid working model. Opportunity to play a key role in a large-scale Databricks migration programme. Ongoing professional development and certification support. Chance to influence the future direction of the organisation's data platform. If you are looking to work with Azure Databricks at scale and be part of a major modernisation programme, this role offers the chance to develop your skills while making a tangible impact across the organisation.

Data Engineer Up to £65,000 An exciting opportunity has arisen for a Data Engineer to join an organisation undertaking a significant transformation of its data and analytics landscape. As a Data Engineer, you will play a key role in designing and building the foundations of a scalable, cloud-based data estate. Working within a growing data function, you will help develop the pipelines, frameworks and governance capabilities needed to deliver data across the business. This position offers the opportunity to work with modern technologies including Azure Databricks, contributing to both the migration programme and the long-term evolution of the data platform. You will be involved in everything from designing robust data solutions and engineering high-quality datasets through to establishing best practices and improving platform performance. For engineers who enjoy solving complex data challenges, building modern data platforms and driving meaningful change through technology, this role offers the chance to make a genuine impact while working on a large-scale transformation programme. Key Responsibilities Supporting the migration from a legacy SQL-based environment to Azure Databricks. Designing and developing scalable data solutions using Databricks, Python and PySpark. Building and maintaining robust data pipelines, transformation frameworks and curated data layers. Implementing governance, security and data management best practices through Unity Catalog. Optimising data models and datasets to support analytics, reporting and self-service BI requirements. Working with stakeholders to understand data needs and deliver trusted, accessible data products. Contributing to data architecture decisions and promoting modern engineering standards and best practices. Skills & Experience Strong hands-on experience with Azure Databricks. Experience building data pipelines using Python and/or PySpark. Understanding of Delta Lake, lakehouse architectures and modern data platform design. Experience working with Unity Catalog for data governance and access management. Strong SQL development, optimisation and data modelling expertise. Experience working within Azure data environments and modern cloud-based data platforms. What's On Offer? Up to £65,000 salary. Hybrid working model. Opportunity to play a key role in a large-scale Databricks migration programme. Ongoing professional development and certification support. Chance to influence the future direction of the organisation's data platform. If you are looking to work with Azure Databricks at scale and be part of a major modernisation programme, this role offers the chance to develop your skills while making a tangible impact across the organisation.

We are looking for a Data Consultant to join our team and work on strategic data initiatives across cloud platforms and digital transformation programmes. What you'll be doing Supporting solution architecture and technical design Building scalable, production-grade data platforms Designing modern lakehouse and ELT architectures Developing data models, pipelines and semantic layers Working directly with clients to understand requirements and shape delivery roadmaps What we're looking for 2-4 years' experience in data engineering and/or analytics Client-facing or consulting experience Strong SQL and Python skills Experience with AWS, GCP or Azure Understanding of data quality, governance, observability and dimensional modelling

Company Description About FRP FRP is a leading national business advisory firm based in the UK. With over 950 team members, including more than 100 partners, we specialise in Forensic Services, Corporate Finance, Debt Advisory, Financial Advisory, Restructuring Advisory and Real Estate Advisory . Operating from 35 offices across the UK, Isle of Man and Cyprus, we are dedicated to helping clients navigate complex and difficult situations to create, preserve, and recover value. Our approach is known for being honest, clear, and considered. We provide strategic solutions that cater to a broad range of businesses, from multinational organisations to small enterprises. Our commitment is to deliver expert advice and support, ensuring our clients can make informed decisions and achieve their goals. Job Description FRP Advisory are a UK-wide professional services organisation investing in Microsoft Fabric, Power BI and modern data engineering to provide reliable, well-governed data for reporting, analytics and AI. Role Overview This hands-on role sits within the Applications and Data team, working alongside an existing Data Engineer to develop and support our Microsoft Fabric-based enterprise data platform. This role will report day to day to the Data & Analytics Lead, who will set priorities, provide technical direction and coordinate Data Engineering and Power BI delivery. Together, you will build reliable pipelines, dimensional models and transformations that make trusted data available across the business. Key Responsibilities Lead and develop the data team, including Data Engineering, with clear priorities and responsibilities Guide technical work across reporting, data modelling, integration and engineering Design and maintain Power BI reports, dashboards, semantic models and supporting data models Set Power BI standards for architecture, development, governance, deployment and reuse Work with stakeholders to understand requirements, agree priorities and manage delivery Work with Data Engineering to build reliable data pipelines and connect source systems, Microsoft Fabric and Power BI Maintain standards for data quality, security, performance, documentation and support Train selected technical colleagues to contribute to Power BI work alongside their main roles Track the Microsoft Fabric roadmap and recommend relevant features for FRP Travel to regional offices when needed for meetings, delivery and training Qualifications Strong commercial experience of Kimball dimensional modelling and dbt transformations. Experience using Git and Azure DevOps for source control, testing and CI/CD. Strong SQL skills and experience with complex data structures. Experience building and supporting enterprise data warehouses or similar analytical platforms. Experience developing reliable ETL or ELT processes in the Medallion architecture. Experience with Microsoft Fabric data engineering, including Pyspark and dbt. Practical knowledge of data quality, testing, monitoring and operational support. Strong problem-solving skills and attention to detail. Clear communication and the ability to work independently while collaborating with the Data & Analytics Lead, technical colleagues and business stakeholders. Experience in the following areas would also be useful: Materialised Lake Views Apache Spark or Python. Power BI semantic modelling. APIs and cloud business system integration. Data governance, lineage and quality frameworks. Professional services experience. What We Offer A hands-on role developing an enterprise data platform using Microsoft Fabric and modern engineering practices. Close collaboration with the Data & Analytics Lead, with significant ownership of technical delivery. Varied work across data integration, dimensional modelling, transformation, automation and support. Continued investment in data, analytics and staff development. Hybrid working, with occasional UK travel. Relevant training, certifications and career development. Additional Information Our Values Straightforward : We provide clear, no-nonsense advice Confident : Our guidance is backed by expertise and evidence Pragmatic : We focus on practical solutions and tangible outcomes Real : We are professional yet approachable, understanding the challenges our clients face Our Commitment to You and the Environment At FRP Advisory Group, sustainability is integral to our strategy and operations. Our sustainability depends on building and maintaining meaningful, long-term relationships with all our stakeholders - including our employees, clients, and local communities - while also reducing our impact on the natural environment. We are always striving to improve in all areas - whether it's our people, our clients, our planet or our governance. Our ongoing success as a business depends on our sustainability and agility in a changing and challenging global landscape. We are committed to fostering an inclusive, equitable, and diverse culture for our people. We maintain an Equal Opportunities Policy, ensuring that recruitment and employment decisions are based solely on the skills and experience required for our professional services - regardless of ethnicity, race, sexual orientation, disability, or any other protected characteristic. We believe every individual should have the opportunity to thrive. Our learning and development programmes enable us to invest in growing our employees' careers. We aim to empower our team members to each achieve their potential. We are committed to growing long-term relationships with our clients and supporting them in achieving their objectives. We understand that our clients' sustainability and success lead to our sustainability and success. We are emotionally invested in our clients right from the beginning.

Senior / Lead Analytics Consultant Up to £90,000 London (1 day a month in office) This is an opportunity to join a high-impact Strategic Data & Analytics team where analytics is embedded directly within the business. You'll work on meaningful commercial challenges, develop analytical products used across the organisation, and play a key role in shaping how data-driven decision-making is delivered at scale. THE COMPANY They are a growing, data-driven organisation that places analytics at the heart of commercial decision-making. Their Strategic Data & Analytics team partners closely with senior stakeholders, consultants, and client-facing teams to deliver products that create measurable business value. Rather than operating as a traditional IT function, the team focuses on solving real-world problems through data, analytics, and technology. You'll join a collaborative environment where ownership, innovation, and practical delivery are highly valued. THE ROLE As a Senior / Lead Analytics Consultant, you will take ownership of analytical products from concept through to deployment and adoption. Specifically, you can expect to be involved in the following: Partnering with senior stakeholders to translate complex business challenges into actionable analytical solutions Owning the end-to-end delivery of analytical products, from requirements gathering through to production deployment Designing and developing reusable frameworks, libraries, templates, and analytical tools Building scalable, maintainable solutions that can be adopted across multiple teams and use cases Collaborating with both technical and non-technical stakeholders to drive product adoption Contributing to development standards, best practices, and delivery processes Reviewing and supporting the work of colleagues within a collaborative team environment Working within modern software development and governance frameworks while helping shape future ways of working SKILLS AND EXPERIENCE The successful Senior / Lead Analytics Consultant will have the following skills and experience: Strong commercial experience delivering analytical products that drive business outcomes Excellent stakeholder management skills with the ability to engage senior leaders and non-technical audiences Proven experience taking solutions from ambiguous requirements through to sustained business usage Advanced Python development skills for analytics, modelling, or data product development Experience with analytical application frameworks such as Shiny, Streamlit, Dash, or similar technologies Strong understanding of software engineering best practices including version control and CI/CD principles Experience with tools such as Git, Azure DevOps, Docker, Terraform, or comparable platforms Ability to work effectively in a fast-paced environment with evolving priorities Strong communication skills and a collaborative, consultative mindset BENEFITS The successful Senior / Lead Analytics Consultant will receive the following benefits: Salary up to £90,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

MORELA Application Developer AI Applications & Power BI Holborn, London Morela is proud to be supporting a London-based AI analytics business in the search for an Application Developer. This is a permanent role based at the client's office in Holborn, Central London, four days a week (Monday to Thursday), with a salary of £75,000 plus benefits. Candidates must have the right to work in the UK. About the Client Our client runs an AI customer growth platform that helps some of the UK's best-known consumer brands get far more value from their first-party customer data. Their clients include household-name retailers and financial services businesses with customer bases running into the millions. The platform shows where growth in a customer base is coming from, where it is going, where it is leaking and which behaviours drive it, then projects that forward. Boards get a forward-looking view of their customers instead of a historic one, and can test interventions against it. It has grown into a management system for customer value growth, sitting in the gap between high-level strategy consultancies and marketing-led CRM firms. The business is founder-funded and has built its platform with a deliberately lean, senior team. It is now investing in the people and practices to scale, including a move to forward-deployed implementation teams from next year. It is a genuine chance to join early and shape how the business grows. The Role This is a priority hire. The client is moving its product from Power BI dashboards to AI-enabled web applications, and this role sits right at the centre of that shift. You will keep existing Power BI deployments running smoothly for current clients while building the new application layer that replaces them, then help migrate those clients across. Alongside the build work, you will work directly with client technical and security teams to get the platform deployed in their environments. Responsibilities Maintain and enhance existing Power BI reports and models, including DAX, for current clients during the migration. Design and build the new web application presentation layer for the platform. Use modern AI tooling and integrate with the agents the business is building into its product. Plan and deliver client migrations from Power BI to the new applications. Work with client IT and security teams on infrastructure requirements, security reviews and DPIA sign-off to deploy the platform in their environment. Get client data flowing into the platform so insight can be presented back to them. Work closely with the data scientists and engineers to turn models and data into applications clients use every day. Essential Requirements Strong hands-on Power BI experience, including DAX and data modelling. Commercial experience building web applications (front end and back end). Practical experience with current AI and LLM tooling, and an interest in agent-based applications. Comfortable in client-facing technical conversations, including with IT and security stakeholders. Able to balance supporting live clients with building new product. Desirable Experience Experience migrating clients or users from BI tools to bespoke applications. Experience deploying software into client-hosted or enterprise cloud environments. Knowledge of data security, privacy and DPIA processes. Experience in a forward-deployed, consultancy or solutions engineering role. Experience with customer, marketing or CRM data. Working Environment You will be based in Holborn four days a week, Monday to Thursday, as part of a small, senior team with direct access to leadership. Clients are currently supported mainly remotely, with on-site visits when needed, and the business plans to move to forward-deployed implementation teams from next year. It is a hands-on role where your work is visible and shapes the product.

M&E Asset Management Consultant Turn engineering data into insight that drives smarter asset management. Join Tetra Tech's Asset Management team and help clients make informed decisions about the performance, compliance and lifecycle of their building services assets. Combining hands-on surveying, engineering expertise and digital tools, you'll deliver practical insights that support safer, more efficient and sustainable built environments. Purpose & Scope of the Role As an M&E Asset Management Consultant, you'll survey and assess mechanical and electrical building services across a diverse portfolio of client sites. You'll capture accurate asset data, evaluate condition and compliance, and develop clear, evidence-based recommendations to inform maintenance strategies, lifecycle planning and investment decisions. Working with engineering, facilities management and client teams, you'll use digital survey tools, asset management software and data analytics to improve asset information and support effective project delivery. Your Impact in this position You'll help clients understand the condition, performance and future needs of their assets, translating technical findings into actionable recommendations. With opportunities to develop your expertise, contribute to high-profile projects and progressively take on greater responsibility, you'll make a tangible difference to asset performance and long-term value. 5 Core Capabilities M&E Asset Surveying: Inspect and assess HVAC, electrical, fire protection, plumbing and lift systems, capturing accurate condition, specification and lifecycle information. Technical Compliance & Reporting: Apply relevant engineering standards and regulations to identify risks, assess compliance and produce clear, practical survey reports and recommendations. Digital Data & Analytics: Use digital survey tools and asset management platforms to maintain reliable asset registers, analyse data and support reporting, ideally leveraging Power BI. Lifecycle & Investment Planning: Turn survey findings into insights that support maintenance strategies, asset replacement planning and budget forecasting. Client Collaboration & Project Delivery: Build trusted stakeholder relationships, coordinate effectively across teams, uphold health, safety and security requirements, and take ownership of your professional development. Training, Qualifications & Experience Bring knowledge of M&E building services, relevant compliance requirements and strong IT skills, ideally supported by up to three years' experience in asset management, building services engineering or facilities management. Experience with digital survey tools, asset databases and Power BI is advantageous. A practical engineering or M&E design background is desirable. You'll be analytical, self-directed, client-focused and willing to undertake DBS and Security Check (SC) screening where required. A valid driving licence is essential. Working Environment This is a UK-wide, site-based role involving regular travel to client locations, including London and Leeds, with occasional international assignments and overnight stays. You'll work collaboratively with colleagues and clients, with flexible working options where project requirements allow. Specific office attendance and hybrid or remote arrangements will be discussed during recruitment. Be the change. Join Tetra Tech and lead with science to help shape a sustainable future. Tetra Tech is a leading provider of consulting and engineering services working across the full project lifecycle worldwide. We have a wide range of expertise across our teams, providing a global support network with a personalised approach to client relationships to better understand where we can add value. We provide a collaborative environment that supports individual performance, innovation, and creativity. We support public and private sector clients on local, national, and international projects to deliver sustainable and resilient solutions. Our operations in the UK, Ireland, and the Netherlands include more than 6,000 employees who are Leading with Science to solve our clients' most complex problems. In alignment with the Equality Act 2010, we will make reasonable adjustments to support candidates and employees requiring additional arrangements. This could include adaptations to work schedules, training approaches, or the physical workspace. Please inform us if you need any accommodations during the recruitment process or in your day-to-day role

About the Role Digital Lead Permanent, Full-time Inchinnan, Glasgow or Westhill, Aberdeen - Hybrid You will need to be able to pass security clearance for this role and have the right to work and reside in the UK. The Role: We are seeking a forward-thinking Digital Lead to drive JFD's digital transformation agenda and shape the future of how we leverage technology, data and artificial intelligence across the business. This strategic leadership role is responsible for developing and executing the Defence Digital Strategy, identifying opportunities to improve operational performance, enhance customer outcomes and strengthen business competitiveness. Working closely with stakeholders across global JFD sites, from senior leaders to operational teams, you will lead digital initiatives, build a pipeline of AI and transformation projects, and develop sustainable digital capability across the organisation. Combining strategic vision with hands-on delivery expertise, you will champion data-driven decision making, influence stakeholders at all levels and help embed a culture of innovation and continuous improvement. This is an exciting opportunity for a passionate digital leader with expertise in AI, digital transformation, data analytics and business improvement who thrives on turning ideas into measurable business outcomes. What you'll be doing: • Develop and deliver the Defence Digital Strategy, transformation roadmap and AI initiatives aligned to business objectives. • Drive the adoption of AI, emerging technologies and data-driven decision making to improve performance, customer outcomes and competitiveness. • Build digital capability through a Digital SQEP framework, including skills development, competency standards and learning pathways. • Strengthen data governance, analytics and business intelligence to support informed decision making. • Partner with senior leaders, Group IT and key stakeholders to prioritise, govern and deliver digital initiatives. • Monitor digital investment performance, benefits realisation and governance, while supporting customer, regulatory and contractual digital requirements. What we're looking for: • Proven experience developing and delivering digital strategies, transformation roadmaps and governance frameworks. • Strong knowledge of digital technologies, AI, automation, data analytics and business systems. • Experience leading cross-functional projects, managing stakeholders and driving change adoption. • Excellent analytical, problem-solving, communication and presentation skills, with the ability to influence senior stakeholders. • Experience within regulated, security-conscious or complex engineering environments is desirable. • Knowledge of Microsoft Power Platform, Power BI, Microsoft Fabric, Copilot, Generative AI, ERP systems and Agile delivery methodologies is advantageous. • Relevant qualifications or equivalent experience in Digital, IT, Engineering, Data Science, Business Transformation, Programme Management or a related discipline. Why join us? • Early finish on Fridays • Competitive salary and benefits package aligned with experience (Private Medical Insurance, Life Assurance, Cycle to work scheme, Company Pension, etc.) • Clear pathways for career development and organisational visibility • Inclusive and supportive culture that values individual contributions • Meaningful work with impact across safety, innovation, and global operations About Us: James Fisher is a global engineering services company operating across Energy, Defence, and Maritime Transpor t. With a strong heritage in maritime operations, we now deliver innovative solutions in challenging environments. Our One James Fisher strategy is focused on building a unified, sustainable business within the Blue Economy, driving progress through technology, expertise, and collaboration. Visit our website at: Home James Fisher and Sons plc For more information about our values and behaviours, follow the link: About us James Fisher and Sons plc James Fisher Defence (JFD), part of the James Fisher Group, is a global leader in underwater capability, delivering cutting-edge diving, submarine rescue, and hyperbaric solutions to both commercial and defence markets. Operating worldwide, JFD is the foremost provider of submarine rescue services and a trusted name in submarine escape training. We're also at the forefront of hyperbaric rescue innovation and a leading supplier of advanced diving equipment and saturation systems across the industry. Explore more about JFD If this sounds like the ideal next step in your career, then click 'apply' now! Due to the volume of applications, we receive for our vacancies, on occasion applications may close before the deadline, so please apply early to avoid disappointment. At James Fisher and Sons, we are committed to taking positive action on diversity and strongly encourage applications from candidates of all backgrounds. We are proud to be a Disability Confident employer and recognise that our success is driven by the talent and diversity of our workforce. To support an accessible and inclusive recruitment experience in the UK, we partner with Vercida. You can learn more about our approach by visiting our company page: James Fisher and Sons diversity, inclusion, culture - VERCIDA

Job Title Data Scientist Job Description Job purpose: Our IT mission is to transform how data and AI are delivered to customers and colleagues around the world, with a focus on simplicity, trust, and measurable value. AI is central to this mission, providing tools and platforms for creating and operating secure, scalable data and AI solutions. Reporting to the BI and Analytics Manager, the Data Scientist is a valued member of the Enterprise Analytics & AI Hub. This role develops and evaluates advanced analytics, machine learning, and generative AI solutions that help us understand business challenges, improve decisions, and create better customer and colleague experiences. Using modern data science techniques and scalable AWS technologies, the Data Scientist connects business needs with reliable technical solutions. This role works closely with product, data engineering, software and platform engineering, security, governance, and domain experts to move ideas from discovery and experimentation into monitored production services. The Data Scientist plays a vital role within the Enterprise Analytics & AI Hub, contributing to the team's core objectives: • Turn ambiguous business questions into measurable data science problems, clear success measures, and evidence-based recommendations. • Build trusted models, data products, and AI capabilities in Nexus (our internal platform) that colleagues can use safely and effectively. • Improve the quality and usability of structured and unstructured data by making definitions, lineage, assumptions, and limitations clear. • Establish evaluation, observability, and feedback practices that improve accuracy, reliability, latency, and cost over time. • Foster a culture of responsible, data-informed experimentation by sharing insights, reusable approaches, and emerging techniques across the team. Key Responsibilities Key Responsibilities: Partner with product owners, domain experts, and stakeholders to translate business challenges into measurable analytical or AI outcomes, data requirements, and evaluation plans. Explore, prepare, and validate structured and unstructured data, establishing appropriate quality checks, feature definitions, lineage, and documented limitations. Design, develop, and validate statistical and machine learning solutions for tasks such as classification, regression, clustering, forecasting, segmentation, and optimization. Design experiments and apply statistical analysis, including A/B testing where appropriate, to measure impact, interpret uncertainty, and support sound decisions. Build and evaluate generative AI capabilities within Nexus (AWS stack), including prompt and context design, embeddings, retrieval-augmented generation, knowledge bases, and agent or tool behaviours. Write production-quality Python and SQL, and work with engineers to integrate successful solutions into scalable AWS services, data pipelines, and APIs. Apply MLOps and LLMOps practices, including version control, automated tests, CI/CD, reproducible deployment, monitoring, drift detection, and rollback. Define and maintain offline and live evaluation measures, using traces, token usage, cost, performance, and user feedback to improve solutions over time. Apply responsible AI, privacy, security, and data governance principles, with appropriate access controls, explainability, safety checks, and human oversight. Communicate insights, trade-offs, and recommendations clearly to technical and business audiences, and contribute reusable patterns, documentation, and learning across the team. Function IT Country United Kingdom Office Location Newcastle Work Place type Hybrid Advert Working at Sage means you're supporting millions of small and medium sized businesses globally with technology to work faster and smarter. We leverage the future of AI, meaning business owners spend less time doing routine tasks, like entering invoices and generating reports, and more time pursuing their ambitions. Our colleagues are the best of the best. It's why we were awarded 2024 Best Places to Work by Glassdoor. Because to achieve extraordinary outcomes, we need extraordinary teams. This means infusing Sage with people who knock down barriers, continuously innovate, and want to experience their potential. Learn more about working at Sage: Watch a video about our culture: v=qIoiCpZH-QE We celebrate individuality and welcome you to join us if you embrace all backgrounds, identities, beliefs, and ways of working. If you need support applying, reach out at . Learn more about DEI at Sage:

Location: Reading, United Kingdom Thales is a global technology leader with more than 83,000 employees on five continents. With over 7,500 people in the UK, operating across defence, space, aerospace, and digital security, we help build a future we can all trust. Thales supports the security and stability of our nation by providing extraordinary technology to our customers, as well as delivering social value to the UK with our products and services. AI Researcher Reading (RG2 6GF) - Hybrid Primary Purpose of the Role: To conduct high-impact AI research that develops novel, trustworthy and operationally relevant AI capabilities across Thales UK businesses and for our customers, increasing the quality of our offers, winning new business, strengthening technical differentiation, and improving customer outcomes. As part of the growing software, AI and research capability in cortAIx Factory / cortAIx UK, the AI Researcher will collaborate with AI engineers, AI assurance specialists, human-machine teaming researchers, product owners, domain experts, data engineers and software engineers to turn complex operational and business challenges into validated AI research outcomes, proofs of concept and transferable technical capability. The role will contribute novel AI methods, research assets, technical reports, publications, invention disclosures and reusable experimental approaches to Thales UK's internal catalogue of capabilities, accelerating responsible AI adoption across programmes. The role will connect with data, digital, research and engineering specialists across Thales UK and Group, maturing emerging AI technologies for future deployment and acting as a technical expert on advanced AI research used transversally throughout the business. We are interested in people with a background of both conduct research and delivering across a diverse range of products or industries. We are looking for those who can undertake the research but also understand how to translate this into product. Highly advantageous if you've supported or led bids/bid requirements. Key Responsibilities and Tasks: Conduct applied and experimental AI research to solve complex customer and business problems across defence, aerospace, cyber security, rail, critical national infrastructure and related domains. Develop state-of-the-art AI/ML solutions, proofs of concept and research prototypes using real-world data and operationally relevant problem statements. Investigate, design, implement and evaluate advanced AI methods, including but not limited to deep learning, multimodal AI, self-supervised learning, foundation models, generative AI, computer vision, NLP/LLMs, time-series analytics and reinforcement learning where relevant. Translate business and customer needs into clear research questions, experimental plans, technical requirements and measurable success criteria. Design robust evaluation methodologies, including baselines, benchmarks, ablation studies, uncertainty assessment, robustness testing and performance measurement against operationally meaningful metrics. Collaborate with AI V&V, AI Assurance, Human-Machine Teaming and Applied AI groups to ensure research outputs are trustworthy, human-centred, explainable and suitable for future operational use. Build reproducible research pipelines, including data preprocessing, feature engineering, model training, experiment tracking, evaluation and technical reporting. Ensure Responsible AI practices are embedded throughout the research lifecycle, including robustness, safety, explainability, transparency, fairness, privacy, security and alignment with MOD, regulatory and Thales governance requirements. Create proofs of concept, publications, invention disclosures, patents, technical reports and reusable research assets around advanced AI topics such as multimodal learning, self-supervised learning, foundation models and human-AI collaboration. Package research outputs in a form that enables transition to AI engineering teams, including demonstrator code, model cards, experiment reports, design notes and handover documentation. Support bids, PoCs, demos, customer workshops, innovation campaigns and stakeholder briefings by communicating research concepts and outcomes to technical and non-technical audiences. Work with data engineers, architects and domain experts on data acquisition, labelling strategies, synthetic data approaches, integration of third-party data and data quality management. Horizon scan for major AI research and technology trends, assess relevance to Thales markets, run trials and share best practices to accelerate responsible adoption. Skills, experience and qualifications required Degree/Masters, an equivalent in a relevant Software/AI subject, or equivalent experience. Relevant subject areas may include Artificial Intelligence, Machine Learning, Computer Science, Data Science, Mathematics, Engineering, Physics or a related technical discipline. Strong Python programming skills; proficiency with modern software engineering and research practices, including testing, code quality, reproducibility and collaborative development. Experience conducting AI/ML research or advanced AI development in complex technical environments, preferably including defence, aviation, rail, cyber security, safety-critical, mission-critical or similarly regulated domains. Expertise in ML/DL algorithms and techniques for supervised, unsupervised, self-supervised and, where relevant, reinforcement learning. Proven ability to take AI research from problem framing through experimental design, model development, evaluation and prototype demonstration. Hands-on experience in at least one advanced AI area such as deep neural networks, computer vision, NLP/LLMs, multimodal AI, self-supervised learning, reinforcement learning, time-series analytics or foundation models. Experience with AI frameworks and libraries: PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers; OpenCV for vision applications. Strong understanding of experimental design, statistical evaluation, benchmarking and model validation. Experiment tracking and reproducibility tools, for example MLflow, Weights & Biases or equivalent. Data wrangling and analysis using Pandas, NumPy, SQL; familiarity with Spark or similar is a plus. Model optimisation and research-to-prototype deployment fundamentals, including ONNX, TorchScript, FastAPI/gRPC and GPU acceleration, with CUDA basics desirable. Responsible AI and security awareness: explainability, privacy-preserving methods, bias assessment, safety, assurance, adversarial robustness and secure AI. Scientific and technical writing skills, including preparation of technical reports, research papers, invention disclosures, model cards and experiment reports. Demonstrable experience producing high-quality technical documentation, research outputs, model evaluations or stakeholder briefings. Interpersonal Skills Ability to engage and influence diverse stakeholders, including Product Engineering Leaders, Customers, Design Authorities, Project Management, IS/IT, research partners and academic collaborators. Highly effective in a matrix-based organisation; a collaborative team player who drives outcomes while maintaining scientific rigour. Excellent communication skills; able to explain complex AI research concepts clearly to technical and non-technical audiences. Curious, creative and intellectually rigorous, with the ability to challenge constructively and develop novel solutions to ambiguous problems. Encourages an open environment where ideas are shared, technical debate is welcomed and innovation thrives. Desirable PhD or equivalent research experience in Artificial Intelligence, Machine Learning, Computer Science, Mathematics, Engineering, Physics or a related discipline. Peer-reviewed publications, patents, invention disclosures, open-source contributions or recognised technical innovations. Experience with governance of architecture, research designs or detailed technical designs throughout the project lifecycle. Experience with large-scale data initiatives, data labelling strategies, synthetic data generation and data quality management. Familiarity with MLOps practices and cloud platforms for AI deployment. Experience working with academic partners, research institutions, grant-funded programmes or collaborative research consortia. Experience contributing to bids, proposals, customer demonstrations or externally funded innovation activities. Knowledge of cloud AI services, HPC environments, containerisation and secure research environments is desirable. Security Clearance statement Due the nature of the work that we do at Thales, many of our roles are subject to security restrictions. This role requires you to be a sole British National and achieve Security Clearance (SC) without any caveats. It would be advantageous if currently held, however, if not currently held, it is a requirement that the successful applicant undergo, achieve, and maintain SC Clearance prior to commencing employment. Please visit the UKSV website for further guidance- United Kingdom Security Vetting - GOV.UK ( ) To be eligible for full SC, you generally need to have resided in the UK for the last 5 years. In some circumstances . click apply for full job details

Description WTW is seeking a Senior Director of Exposure & Vulnerability Management to lead WTW's vulnerability management security program. Reporting to the Global Head of Attack Surface Management, this leader owns the strategy, execution and evolution of enterprise exposure management capabilities spanning vulnerability operations, exposure validation, aligning with secure development (SAST/SCA/DAST) and risk intelligence, with a relentless focus on prioritization, business impact, mitigation strategies and measurable risk reduction. The role partners closely with Corporate & Business Technology, Cloud Operations, Product, Platform Engineering, Risk Management, Privacy & Compliance, Managed Service Providers and Internal Audit stakeholders to ensure security findings are translated into actionable insight, aligned remediation priorities and demonstrably improved security outcomes across the enterprise. As a senior member of the Attack Surface Management leadership team, the Senior Director also acts as a strategic deputy to the Global Head, contributing to program direction, investment decisions, steering committee deliverables, and executive-level reporting. The Role As WTW continues to scale its digital platforms, client services and cloud estate, managing cyber risk requires more than identifying vulnerabilities. It requires understanding exposure, exploitability, reachability and business impact across infrastructure, cloud, identity, applications and the software supply chain. The Exposure & Vulnerability Management function is accountable for transforming how security risk is identified, contextualized, validated and addressed across the enterprise. This includes shifting to a unified, continuous exposure management model that is aligned to Continuous Threat Exposure Management (CTEM) principles and built on an accurate, authoritative view of WTW's assets. The Senior Director will lead multi-disciplinary global teams while driving modernization across data, tooling, metrics, governance and engagement models. The Responsibilities Exposure Management Strategy & Program Leadership Define and own WTW's enterprise exposure & vulnerability management strategy and a multi-year roadmap that aligns infrastructure, cloud, application, identity and software supply chain risk into a unified risk view. Operationalize a continuous exposure & vulnerability management lifecycle (scoping, discovery, prioritization, validation and mobilization) aligned to CTEM principles. Track vulnerabilities via risk-based prioritization grounded in exploitability, threat intelligence, asset criticality, exposure and business impact. Establish clear ownership models, accountability and engagement patterns with technology and engineering teams to drive timely and effective remediation. Own the annual operating plan and budget for exposure & vulnerability management, building business cases for investment and demonstrating return in terms of risk reduction. Discovery, Scoping & Asset Context Ensure continuous, comprehensive discovery of exposures across on-premises, cloud technologies, endpoints, IoT, SaaS and internet-facing attack surfaces. Partner with the Asset Management team to ensure exposure data is anchored to an accurate, authoritative asset inventory (CMDB), including ownership, business service mapping and criticality tiering. Ensure exposure coverage includes misconfigurations, cloud posture, identity and access weaknesses, external attack surface and unmanaged or shadow assets. Risk-Based Prioritization & Exposure Validation Own and continuously refine WTW's risk-based vulnerability scoring and prioritization model, incorporating exploit prediction (e.g. EPSS), known-exploited intelligence (e.g. CISA KEV), threat intelligence, compensating controls and business context. Establish exposure validation capabilities, including attack path analysis, breach and attack simulation, and coordination with penetration testing and red team functions, to confirm real-world exploitability. Define and maintain risk-tiered remediation SLAs that differentiate by exposure, asset type and business criticality. Vulnerability Operations & Remediation Mobilization Lead global teams responsible for vulnerability operations, ensuring consistent, scalable execution of discovery, validation, prioritization, tracking and closure across technology domains. Drive remediation mobilization through integrated workflows, clear hand-offs to owning teams and escalation paths for overdue or high-risk exposures. Lead WTW's response to critical and emerging vulnerabilities (e.g. zero-days and widely exploited flaws), coordinating rapid impact assessment, executive communication and accelerated remediation with Security Operations, Incident Response and Technology. Maintain availability for critical and emerging vulnerability events (e.g. zero-days), including participation in an on-call rotation or escalation structure to ensure rapid impact assessment and response outside of standard business hours. Own the vulnerability risk exception and acceptance process, ensuring exceptions are risk-assessed, time-bound, approved at the appropriate level and tracked to resolution. Secure Development & Software Supply Chain (Partner to Application Security) Partner with Application Security and Business Technology leadership to embed SAST, DAST and SCA coverage and the broader application security toolchain (e.g., secrets detection, container and infrastructure-as-code scanning) - contributing risk-based prioritization methodology and ensuring application findings feed into the same risk-ranked queue as infrastructure and cloud exposures, rather than owning the toolchain itself. Support Application Security's efforts to embed security earlier in the SDLC by aligning exposure & vulnerability management's remediation workflow, SLAs, and reporting with their developer-friendly tooling and pipeline guardrails - extending consistent tracking and accountability to application-layer findings without taking on pipeline ownership. Collaborate with Application Security, Business Technology, and GRC to strengthen software supply chain risk management - including open-source governance and SBOM practices - providing exposure-management visibility, prioritization, and reporting rather than owning the program. Governance, Regulatory & Risk Alignment Own the policies, standards and procedures governing vulnerability and exposure management, ensuring they are current, enforceable and consistently applied. Ensure the program meets regulatory and contractual obligations across WTW's operating jurisdictions, including DORA, NYDFS Part 500, GDPR and relevant client and industry requirements. Serve as the accountable lead for exposure & vulnerability management in engagements with regulators, Internal Audit, external auditors and client security assessments, and own remediation of related findings. Partner with Enterprise Risk and the second line to align exposure metrics with WTW's cyber risk appetite, key risk indicators and risk register. Assess and govern exposure risk introduced through acquisitions, divestitures and third-party or managed service providers. Data, Metrics & Risk Intelligence Build and mature exposure-focused metrics and KRIs that enable leadership to understand risk posture, trends, remediation effectiveness and SLA performance. Partner with data and analytics teams to leverage security telemetry, automation and correlation across multiple data sources. Translate technical findings into clear, decision-ready insight for the CISO, executive leadership, risk committees and, where required, the Board. Technology, Automation & Vendor Management Drive modernization of exposure & vulnerability management tooling, workflows and integrations, including consolidation and rationalization of overlapping tools. Identify and deliver opportunities for automation, orchestration and responsible use of AI to scale prioritization, triage and remediation. Partner with Product, Business Technology, Engineering, Cloud Operations, and Architecture teams to influence platform capabilities and security-by-design practices. Own vendor and managed service relationships for exposure & vulnerability management, including selection, contract governance and performance management. Leadership, Talent & Stakeholder Engagement Lead, coach and develop high-performing teams across multiple disciplines and geographies, including managers of managers. Design the organization, roles and career paths for the function; build succession and a strong bench of future leaders. Foster a culture of collaboration, accountability and continuous improvement, breaking down silos between vulnerability, asset and application security teams. Serve as a trusted advisor to Technology, Security and Risk leadership on exposure trends and remediation priorities. Influence cross-functional stakeholders without direct authority in a complex, matrixed, global environment. Qualifications . click apply for full job details

Location: Belfast Arnott House, United Kingdom Thales is a global technology leader with more than 83,000 employees on five continents. With over 7,500 people in the UK, operating across defence, space, aerospace, and digital security, we help build a future we can all trust. Thales supports the security and stability of our nation by providing extraordinary technology to our customers, as well as delivering social value to the UK with our products and services. Title: Senior Customer Operations Analyst Team: Customer Intelligence, Customer Success Reports to: Director, Customer Intelligence Base location: Belfast, N. Ireland (Hybrid model) About the Role Imperva, A Thales Company, is seeking a Senior Customer Operations Analyst to join the Customer Intelligence team within our Customer Success organisation. This role keeps Customer Success running on accurate data, efficient processes and well-used tools. You will be the go-to person for how Customer Success operates: running our Customer Success platform (Planhat), keeping customer data accurate across Planhat and Snowflake, improving the processes our Customer Success teams use every day and producing the reporting that shows leaders how the business is performing, as well as putting AI to work for our Customer Success teams through Planhats AI suite, in house LLM's and other relevant technologies. You will work alongside Customer Success leadership to turn data into practical improvements for our teams and customers. This is a hands-on, senior individual-contributor role for an experienced analyst who combines strong data skills with a passion for making operations work better. Key Responsibilities Customer Success Platform & Systems Act as lead administrator and subject-matter expert for Planhat, managing configuration, workflows, playbooks, automation and ongoing optimisation. Support system integration and data ingestion between Planhat, Snowflake, Salesforce and other business systems, working with IT and Data Engineering. Gather, document and prioritise requirements for new tooling, automation, reporting and process changes. AI & Automation Configure, roll out and continuously improve AI features within Planhat, such as account summaries, AI-assisted insights and automated workflows, so they genuinely help Customer Success teams in their day-to-day work. Work with our in-house LLM to build and refine AI-powered use cases for Customer Success, such as account and meeting summaries, answering questions about customers, and drafting customer communications. Write, test and refine prompts, and prepare and maintain the customer data and knowledge sources the AI tools draw on, making sure outputs are accurate, relevant and useful. Identify manual, repetitive tasks across Customer Success and find ways to remove them using AI and automation. Train and support Customer Success teams in using AI tools effectively and responsibly, gathering feedback to improve them. Make sure AI use follows company data security, privacy and responsible-AI guidelines, working with IT, Security and Data teams. Operational Process & Enablement Design, maintain and continuously improve Customer Success operational processes, such as onboarding, account reviews, success plans, renewals handovers and customer engagement, using data to measure how well they work. Provide enablement and training to Customer Success teams on Planhat, reporting and processes, and create clear documentation and guides. Act as the first point of contact for Customer Success teams on tools, data and process questions, resolving issues and spotting recurring needs. Contribute to cross-functional projects with Sales, Product, Finance and Support that affect how Customer Success operates. Data Quality & Governance Own data quality across Customer Success data, identifying issues and driving them to resolution at the source. Write and maintain SQL queries and data sets in Snowflake to support Customer Success reporting and operations. Maintain clear data definitions, field standards and documentation so teams use data consistently. Reporting & Operational Insight Build, maintain and continuously improve Customer Success reporting in Planhat and PowerBI, from leadership dashboards to day-to-day operational views for Customer Success. Analyse product usage, customer engagement and operational data to answer business questions, track team performance and highlight areas to improve. Present findings and recommendations clearly to Customer Success teams, project leads and business leaders, including data for business reviews and leadership updates. Collaborate with the Data Strategist on customer health and retention insight, making sure the data behind it is accurate and the results are visible to Customer Success teams. Work with stakeholders to understand their needs, set priorities and manage multiple projects at once. Share knowledge with and support less experienced analysts and Customer Success colleagues. What Success Looks Like Planhat is well adopted, accurate and automated, saving CSMs time. Customer Success processes are clear, documented and measurably more efficient. Data quality issues are caught early and fixed at the source. AI tools in Planhat and our in-house LLM are widely used by Customer Success teams and save them measurable time. Customer Success teams and leaders trust and regularly use accurate, up-to-date reporting. Job Requirements Essential Bachelor's degree in Data Analytics, Business Analytics, Business Information Systems or a related data analysis field, or equivalent experience in data and business analytics. 5+ years of experience in an operations analyst, business analyst or data analyst role, ideally including time in Customer Success Operations, Revenue Operations or Sales Operations in a B2B SaaS or technology environment. Hands-on experience administering a Customer Success platform, ideally Planhat (or similar, such as Gainsight or ChurnZero), and/or Salesforce. Demonstrated expertise in Power BI, including building dashboards for senior audiences. Strong SQL skills, ideally with Snowflake, and proficiency in Python or another scripting language for data preparation and analysis. Proven experience designing, documenting and improving business processes, and helping teams adopt them. Practical experience using AI tools or LLMs in a business setting, such as writing and refining prompts or configuring AI features in business software, with a strong interest in applying AI to improve how teams work. Familiarity with common SaaS customer metrics (e.g. ARR, renewals, adoption, health scores) and how Customer Success teams use them. Ability to turn data into a clear story and practical recommendations for non-technical audiences. Detail-oriented, with a track record of finding data quality issues quickly and driving them to resolution. Experience working cross-functionally and influencing stakeholders. A highly organised self-starter who manages multiple priorities in a fast-paced environment. Excellent verbal and written communication skills and the ability to work well in a distributed, international team. Desirable Experience with dbt or other data transformation tools alongside Snowflake. Experience with system integrations, APIs or ETL tools. Experience rolling out or supporting AI features in a CRM or Customer Success platform, such as Planhat AI, Salesforce Einstein or Agentforce. Experience working with in-house or enterprise LLMs, including prompt design, retrieval-augmented generation (RAG) knowledge sources or evaluating AI output quality. Experience with workflow automation tools. Knowledge of the cybersecurity or data security industry. Applicants must be legally authorized to work in the UK at the time of hire. This position is not eligible for visa sponsorship or for assuming sponsorship of an employment visa now or in the future. At Thales, we ensure equal opportunities, pay and working conditions for all. The benefits we offer include private medical insurance, buying or selling annual leave, cycle to work schemes, employee discounts, paid volunteering day, stocks and shares, annual bonus and much more depending on the role. Read more about our benefits here. We are committed to creating a workplace where everyone feels valued for who they are and the unique strengths they bring. Discover more about our programmes, employee networks, wellbeing policies, and inclusive features here. If this role isn't quite right for you, we encourage you to join our talent community where your details will be shared with our recruitment teams for other potential opportunities. Join the Talent Community here. Join Thales in the UK - Innovate with us and shape the future!

Location Successful candidates may be based in any of our office locations -. Cardiff, Glasgow, or London. We especially welcome applicants from Cardiff and Glasgow. About the job Job summary As the energy sector evolves, trusted and well-structured data is becoming increasingly important to how renewable energy schemes are delivered, governed and assured. At Ofgem, we're seeking a Data Architect to help shape the structures, standards and approaches that support this work. Ofgem is Great Britain's independent energy regulator. We're at the forefront of change across the sector, driving toward Net Zero whilst protecting consumers, especially vulnerable people. We're offering a permanent opportunity within our Delivery & Schemes division, which is responsible for administering a range of government renewable energy support schemes. This is a varied and evolving environment, with a broad programme of work focused on efficiency, assurance and delivering value for money for UK consumers. You'll be responsible for shaping how data is structured, governed and utilised across the division, ensuring that renewable energy schemes are backed and supported by data. Working across strategy and delivery, you'll help define practical data approaches that support both current services and future development across the division. With the chance to influence how data architecture develops, you'll work across a broad range of programmes and services, with technology, governance and delivery teams, playing a key role in shaping the data foundations that support the division's ongoing success with renewable energy. You'll bring significant experience operating as a Senior Data Architect within a complex organisation, alongside strong expertise in data modelling, integration technologies and cloud-based data architectures. You'll also understand how to develop structured data standards, governance approaches and interface documentation, with a strong awareness of data security, privacy and information governance requirements. The ability to operate effectively at both strategic and delivery levels will be essential. In return, you'll join a collaborative and supportive environment, where you can apply your expertise to meaningful work that supports major renewable energy schemes, and enjoy a comprehensive benefits package and an environment focused on your development, career path and goals. We have a critical purpose to ensure renewable energy schemes are delivered efficiently, and the data surrounding them is high-quality and connected. Join us and help shape the data foundations that support that mission. Read on and find out more. Job description Key Responsibilities Data architect - Government Digital and Data Profession Capability Framework Data Architecture & Standards Define and maintain enterprise data architecture artefacts, including conceptual, logical and physical data models Own and evolve data architecture principles, standards, and patterns Ensure consistency and reuse of data designs across Ofgem's digital and data landscape Solution Design & Assurance Lead data architecture design for projects and services, covering: Data ingestion, storage, and transformation Integration and data sharing Analytics and reporting Review and assure solution designs to ensure alignment with enterprise architecture and regulatory requirements Provide pragmatic architectural direction that supports delivery while managing long term risk Governance, Risk & Compliance Ensure data architectures comply with: DDaT and GDS standards Data protection legislation (UK GDPR) Security and information assurance policies Contribute to architecture governance forums and formal design reviews Identify, document, and manage data related architectural risks, including technical debt and obsolescence Support DPIAs and security design reviews from a data architecture perspective Data Strategy & Enablement Contribute to D&S' data strategy, roadmap, and target architecture Define approaches to: Master and reference data management Metadata, lineage, and data cataloguing Data quality and stewardship Enable teams to make effective use of data platforms through clear architectural guidance Stakeholder Engagement Work closely with business teams, analysts, engineers, product managers, and architects Communicate complex data architectures clearly to technical and non technical audiences Provide expert advice and consultancy on data related challenges and opportunities Support capability development across the DDaT and Data communities Person specification Essential Criteria Strong experience developing OLAP data models. (Lead Criteria) Experience integrating data from various sources and providing data to third-party stakeholders using secure methods with appropriate usage of policies, access controls, performance, and monitoring (i.e. API Management). (Lead Criteria) Experience developing and applying industry standard data architecture principles, patterns, and technologies to address user needs. Experience developing reference libraries, patterns and metadata repositories with reusability at the centre of their design. Strong stakeholder management with the ability to translate complex business requirements into scalable, interoperable, and flexible solutions. Ability to communicate in technical detail on topics of data lineage, data usage and data structures. Desirable Criteria Track record of working within a cloud-based technology landscape. Experience in integrating complex, cross-organisation processes and data models, ideally within a highly regulated environment.

AI Engineer We're seeking an innovative AI Engineer to join a forward-thinking organisation undergoing an exciting AI and digital transformation journey. This is an opportunity to play a key role in designing, deploying, and governing enterprise AI solutions that drive operational efficiency, automation, knowledge management, and smarter decision-making across the business. The Role As an AI Engineer, you will be responsible for the design, implementation, and ongoing management of AI platforms, intelligent agents, and supporting infrastructure. You'll combine hands-on technical delivery with strategic input, ensuring AI solutions are scalable, secure, and aligned with organisational objectives. Key Responsibilities AI Platform & Infrastructure Design, implement, and maintain enterprise AI infrastructure across cloud and on-premise environments. Develop scalable architectures for AI workloads, including model hosting, vector databases, orchestration layers, APIs, and data pipelines. Integrate AI platforms with business-critical systems, data platforms, collaboration tools, and operational applications. Produce and maintain architecture documentation, operational procedures, and technical standards. AI Agents & Automation Design, develop, and manage AI agents, copilots, and workflow automation solutions. Build Retrieval-Augmented Generation (RAG) applications leveraging internal business data. Develop intelligent assistants supporting operational, engineering, customer service, and business functions. Implement multi-agent workflows and orchestration frameworks. Monitor and optimise AI solution performance, reliability, security, and cost efficiency. Governance & Compliance Ensure AI solutions align with security, governance, and compliance requirements. Support data governance, privacy, risk management, and lifecycle policies for AI-enabled systems. Maintain standards and documentation relating to AI usage, access control, and governance frameworks. Contribute to responsible AI practices and organisational AI governance initiatives. Stakeholder Engagement Partner with teams across the organisation to identify and prioritise AI opportunities. Support user adoption, training, and change management activities. Translate complex technical concepts into clear business language for non-technical stakeholders. Act as a trusted advisor on AI technologies and best practices. About You Essential Skills & Experience Proven experience designing, building, and deploying AI/ML solutions within enterprise environments. Strong Python development skills. Experience integrating and consuming REST APIs. Hands-on experience with Docker and Kubernetes. Knowledge of vector databases, embeddings, RAG architectures, and LLM orchestration frameworks. Experience with cloud technologies, networking, identity and access management, and security controls. Experience integrating AI solutions with Microsoft 365 technologies, collaboration platforms, and SQL-based databases. Desirable Experience AI governance and responsible AI frameworks. MLOps and LLMOps tools and methodologies. Prompt engineering and model fine-tuning. Agentic AI frameworks such as LangGraph, AutoGen, or CrewAI. AI orchestration platforms such as n8n or similar technologies. Knowledge graph technologies. Data lake and analytics platforms. Experience supporting organisation-wide AI adoption programmes.

Senior Data Product Manager, Prototyping & Innovation We are currently recruiting for a Senior Data Product Manager with Broking experience to join one of our Insurance clients on a 6-month contract. Inside IR35 Hybrid- 2 days a week onsite in London Key responsibilities Work with business stakeholders and domain specialists to understand decisions, workflows, pain points, and opportunities that could be addressed through data products. Convert broad or ambiguous challenges into clear problem statements, target users, desired outcomes, hypotheses, and measurable product objectives. Assess product opportunities based on business value, user need, data readiness, technical feasibility, scalability, and alignment with the broader data-product portfolio. Identify when a request should become a reusable product and when a simpler analytical or process solution is more appropriate. Personally build working proofs of concept using tools such as SQL, Python, Databricks, Power BI, AI tooling, and appropriate low-code platforms. Explore and profile data to understand quality, coverage, structure, limitations, and suitability for the intended use case. Use prototypes to test product concepts with users, expose assumptions, and generate evidence before significant engineering investment. Work with data engineers, architects, analysts, and platform specialists to determine how successful prototypes should be industrialised. Ensure prototype work is appropriately transitioned into maintainable, governed, and scalable solutions rather than becoming unsupported production tooling. Own selected data products from discovery through prototype, development, launch, adoption, and improvement. Partner closely with engineering while retaining clear accountability for the problem, user outcome, and product value. Experience 5-8+ years of relevant experience across data, analytics, technology, or digital products, including substantial ownership of data-enabled products or solutions. Strong evidence of solving ambiguous business problems and converting them into practical, evidence-based solutions. Hands-on ability to interrogate data and build working prototypes using several of SQL, Python, Databricks, Power BI, AI tooling, or low-code tools. Commercial insurance, insurance broking, specialty insurance, claims, placement, portfolio analytics, or underwriting experience. Experience with data mesh, domain-oriented data products, common data models, data contracts, metadata, and data governance. Experience industrialising analytical prototypes with data-engineering and architecture teams. Experience integrating generative AI or machine learning into business products. Familiarity with regulated environments and the responsible use of commercially sensitive data. Guidant, Carbon60, Lorien & SRG - The Vertage Group Portfolio are acting as an Employment Business in relation to this vacancy.

I'm currently working with a growing business looking to appoint an Ecommerce Manager to take ownership of its online trading performance and play a pivotal role in driving future growth. This is a fantastic opportunity for someone who enjoys combining commercial thinking with data-driven decision making. You'll have responsibility for developing the ecommerce strategy, improving customer acquisition and retention, optimising website performance, and identifying new opportunities to increase revenue across the business. The Role As Ecommerce Manager, you'll: Take ownership of the ecommerce platform and drive sustainable revenue growth. Develop and implement customer acquisition, retention and trade account growth strategies. Improve website performance, conversion rates and the overall customer journey. Manage product data, pricing, catalogue structure and content accuracy. Analyse sales, customer and website data to identify commercial opportunities and trends. Create and maintain dashboards, KPIs and management reporting. Utilise CRM, ERP and ecommerce systems to improve efficiency and business performance. Lead customer service and sales support activity, ensuring an excellent customer experience. Identify new revenue streams, product categories and growth opportunities. Work closely with internal teams and external partners to deliver key commercial initiatives. What We're Looking For Proven experience within a B2B ecommerce, online sales or commercial environment. A strong track record of driving revenue growth and improving business performance. Highly commercial with excellent analytical skills. Experience creating and implementing customer acquisition and retention strategies. Hands-on experience managing ecommerce platforms, product information and online catalogues. Strong CRM, ERP and ecommerce systems experience. Confident using Google Analytics and interpreting website performance data. Excellent stakeholder management and communication skills. Able to manage multiple projects and priorities simultaneously. Strong attention to detail and a commitment to data accuracy. Desirable Experience Experience within engineering, industrial, manufacturing or technical product sectors. Exposure to Magento, Shopify, WooCommerce or similar ecommerce platforms. Knowledge of SEO, conversion rate optimisation and ecommerce best practice. Experience managing agencies or third-party partners. An interest in AI, automation and digital transformation technologies. Apply now for immediate consideration!

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn't changed - we're here to stop breaches, and we've redefined modern security with the world's most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We're always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About the Role: As a Specialist Sales Manager, NG SIEM/Logscale, you will have the exciting opportunity to help promote the growth and shape the future of the Next-Gen SIEM and Log Management business at CrowdStrike. You will combine your relevant technology sales experience with solid industry insight to successfully position our industry-leading NG SIEM and log management platform to our top Enterprise customers- articulating and demonstrating business value/ROI. Your job is to build out your territory and maximize market adoption. In return, this position offers uncapped income potential in one of the most strategic, fastest-growing segments of the technology industry and an opportunity to join a company at the forefront of establishing de facto leadership in this market. What You'll Do: Identify, develop, and execute account strategy to close new business opportunities and expanding revenue with customers across the assigned region; independently and cooperatively. Scope, negotiate, and bring to closure agreements to exceed booking and revenue quota targets. Target and gain access to decision makers in key prospect accounts in the assigned territory. Establish access and maintain existing relationships with key decision makers (typically at the CIO and CSO level) in industry, partners, and enterprise customers to drive all pertinent issues related to sales strategy and goal attainment. Collaborate with peers with cross-functional teams (including the Field Sales, Channels & Alliances, Marketing, Sales Operations, Sales Engineering, Services, Customer Support, and Product Management) to create visibility with target accounts and drive engagement of prospects at both the individual contributor and executive level. Work cooperatively with partners to leverage their established account presence and relationships. Capture, maintain, and disseminate accurate and relevant prospect information using What You'll Need: 5+ years of high achievement selling enterprise platform solutions into one of the following markets (SIEM, log management, cybersecurity, observability, data analytics, or data management). Ability to adapt, thrive and excel in a fast-moving, nimble environment. Strong presentation skills and ability to skillfully interact with technical stakeholders as well as executive decision makers. Success in owning and running the entire sales cycle from lead generation to close with a disciplined approach / methodology (MEDDPICC, MEDDIC, Challenger, Sandler, etc). Comfortable in team selling environment working in close collaboration with peers in the CrowdStrike sales organization. History and reputable track record of exceeding goals and sales quotas - high achiever! Consultative sales approach - ability to challenge companies/businesses to think differently. Strength in evangelizing technology and new account acquisition (hunting) - ability to discover and uncover new opportunities with prospects and existing business customers. Highly motivated and professional, with excellent verbal communication and interpersonal skills. Outstanding organizational skills with the ability to prioritize and complete multiple tasks to meet deadlines. Self-starter able to work independently but also team oriented - work together, win together attitude. Excellent problem resolution skills - resourceful and constructive. Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes. Benefits of Working at CrowdStrike: Market leader in compensation and equity awards Comprehensive physical and mental wellness programs Competitive vacation and holidays for recharge Paid parental and adoption leaves Professional development opportunities for all employees regardless of level or role Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections Vibrant office culture with world class amenities Great Place to Work Certified across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs on valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at for further assistance.

Data Engineer Pay of up to £75,664, 28.97% employer pension contributions, hybrid working, flexible hours, and great work life balance. DWP. Digital with Purpose. Are you an experienced Senior Data Engineer with strong skills in Azure and data pipelines and experience leading technical teams? Join DWP's Data Engineering community and help build the data platforms and services that support millions of people across the UK. You'll lead the design and delivery of modern cloud-based data solutions, ensuring high-quality, trusted data is available to drive better decision-making across the organisation while supporting engineering standards and developing others within the team. We have opportunities across three areas of DWP Digital: Skills England - delivering data-driven insights and digital services to support skills development, workforce planning and technical education (London, Coventry, Darlington, Sheffield and Leeds). Data & Analytics - within the Architecture and Engineering Technical Oversight Team, providing technical assurance and governance across data platforms, products and services (Blackpool, Manchester, Leeds and Newcastle). Technology Services - delivering the secure cloud, connectivity, network and security foundations that underpin DWP's digital services (Manchester, Blackpool, Newcastle, Leeds and Birmingham). Successful candidates will be matched to the most suitable business area, with team and location details discussed during the recruitment process. What skills, knowledge and experience will you need? Proven experience designing and delivering complex ETL/ELT pipelines, managing priorities and driving quality outcomes. Ability to communicate complex technical concepts clearly to technical and non-technical audiences, including senior stakeholders. Strong understanding of cloud and distributed data processing, designing scalable, resilient and maintainable data solutions. Proven ability to analyse complex requirements, produce clear specifications and define effective testing approaches. Experience leading the resolution of complex data, platform and pipeline issues across strategic, tactical and operational levels. Strong knowledge of migrating and transforming data from legacy and on-premise systems to cloud platforms. Expertise in automating ETL/ELT pipelines using PySpark and Spark SQL across Azure-based data environments. You and your role As a Data Engineer, you will design build and enhance scalable ETL/ELT pipelines using Python and PySpark, ensuring data solutions are reliable, efficient and aligned with engineering best practice. You'll work closely with stakeholders to understand complex business requirements, transforming data into trusted, high-quality datasets that enable valuable insights, reporting and decision-making. You will manage and optimise data across multiple platforms, ensuring it is secure, accessible and fit for purpose, while supporting effective database management and data extraction solutions. Leading teams through large-scale data and platform transformation, you'll help shape technical direction, embed engineering best practice and develop capability across the wider team. Using your cloud data engineering expertise, you'll develop complex data pipelines, drive automation, improve platform performance and champion Agile delivery, data governance and operational excellence to deliver resilient, high-quality data services. Details. Wages. Perks. Location: You'll join us in your choice of Birmingham, Blackpool, Coventry, Darlington, Leeds, London (Caxton House), Manchester, Newcastle Upon Tyne and Sheffield Hybrid Working: We work a hybrid model - you'll spend some time working at home and some time collaborating face to face in a hub. Pay: We offer competitive pay of up to £75,664. You'll get a salary of up to £68,205, and a Digital Allowance of up to £7,459 is available for exceptional candidates - both elements of the offer are subject to our assessment of your capability at interview. Pension: You'll get a brilliant civil service pension with employer contributions worth 28.97%, worth up to £16,786 per year. Holidays: A generous leave package starting at 26 days rising to 31 days over time. You can also take up to 3 extra days off a month on flexi-time. You'll also get all the usual public holidays. We have a broad benefits package built around your work-life balance which includes: Flexible working including flexible hours and flex-friendly policies Time off volunteering and charitable giving Bring your authentic self to work with 'I Can Be Me in DWP' Discounts and savings on shopping, fun days out and more Interest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a difference Sports and social activities Professional development, coaching, mentoring and career progression opportunities. And we have an award-winning environment and culture: DWP have been recognised as 2024 Diversity Employer of the Year at the Computing Women in Tech Excellence awards Diverse and Inclusive Leadership at Digital Leaders Awards 2024 Commended as Best Place to Work in Digital category in the Computing Digital Technology Leaders awards 2025 Recognised as one of the Best Public Sector Employers at 2025 Women In Tech Employer Awards Process: We know your time is valuable so our application and selection process is just two stages: Apply: complete your application on Civil Service Jobs. There'll be full instructions when you click through. Interview: a single stage interview online. CLICK APPLY for more information and to start your application

Data Engineer Pay of up to £75,664, 28.97% employer pension contributions, hybrid working, flexible hours, and great work life balance. DWP. Digital with Purpose. Are you an experienced Senior Data Engineer with strong skills in Azure and data pipelines and experience leading technical teams? Join DWP's Data Engineering community and help build the data platforms and services that support millions of people across the UK. You'll lead the design and delivery of modern cloud-based data solutions, ensuring high-quality, trusted data is available to drive better decision-making across the organisation while supporting engineering standards and developing others within the team. We have opportunities across three areas of DWP Digital: Skills England - delivering data-driven insights and digital services to support skills development, workforce planning and technical education (London, Coventry, Darlington, Sheffield and Leeds). Data & Analytics - within the Architecture and Engineering Technical Oversight Team, providing technical assurance and governance across data platforms, products and services (Blackpool, Manchester, Leeds and Newcastle). Technology Services - delivering the secure cloud, connectivity, network and security foundations that underpin DWP's digital services (Manchester, Blackpool, Newcastle, Leeds and Birmingham). Successful candidates will be matched to the most suitable business area, with team and location details discussed during the recruitment process. What skills, knowledge and experience will you need? Proven experience designing and delivering complex ETL/ELT pipelines, managing priorities and driving quality outcomes. Ability to communicate complex technical concepts clearly to technical and non-technical audiences, including senior stakeholders. Strong understanding of cloud and distributed data processing, designing scalable, resilient and maintainable data solutions. Proven ability to analyse complex requirements, produce clear specifications and define effective testing approaches. Experience leading the resolution of complex data, platform and pipeline issues across strategic, tactical and operational levels. Strong knowledge of migrating and transforming data from legacy and on-premise systems to cloud platforms. Expertise in automating ETL/ELT pipelines using PySpark and Spark SQL across Azure-based data environments. You and your role As a Data Engineer, you will design build and enhance scalable ETL/ELT pipelines using Python and PySpark, ensuring data solutions are reliable, efficient and aligned with engineering best practice. You'll work closely with stakeholders to understand complex business requirements, transforming data into trusted, high-quality datasets that enable valuable insights, reporting and decision-making. You will manage and optimise data across multiple platforms, ensuring it is secure, accessible and fit for purpose, while supporting effective database management and data extraction solutions. Leading teams through large-scale data and platform transformation, you'll help shape technical direction, embed engineering best practice and develop capability across the wider team. Using your cloud data engineering expertise, you'll develop complex data pipelines, drive automation, improve platform performance and champion Agile delivery, data governance and operational excellence to deliver resilient, high-quality data services. Details. Wages. Perks. Location: You'll join us in your choice of Birmingham, Blackpool, Coventry, Darlington, Leeds, London (Caxton House), Manchester, Newcastle Upon Tyne and Sheffield Hybrid Working: We work a hybrid model - you'll spend some time working at home and some time collaborating face to face in a hub. Pay: We offer competitive pay of up to £75,664. You'll get a salary of up to £68,205, and a Digital Allowance of up to £7,459 is available for exceptional candidates - both elements of the offer are subject to our assessment of your capability at interview. Pension: You'll get a brilliant civil service pension with employer contributions worth 28.97%, worth up to £16,786 per year. Holidays: A generous leave package starting at 26 days rising to 31 days over time. You can also take up to 3 extra days off a month on flexi-time. You'll also get all the usual public holidays. We have a broad benefits package built around your work-life balance which includes: Flexible working including flexible hours and flex-friendly policies Time off volunteering and charitable giving Bring your authentic self to work with 'I Can Be Me in DWP' Discounts and savings on shopping, fun days out and more Interest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a difference Sports and social activities Professional development, coaching, mentoring and career progression opportunities. And we have an award-winning environment and culture: DWP have been recognised as 2024 Diversity Employer of the Year at the Computing Women in Tech Excellence awards Diverse and Inclusive Leadership at Digital Leaders Awards 2024 Commended as Best Place to Work in Digital category in the Computing Digital Technology Leaders awards 2025 Recognised as one of the Best Public Sector Employers at 2025 Women In Tech Employer Awards Process: We know your time is valuable so our application and selection process is just two stages: Apply: complete your application on Civil Service Jobs. There'll be full instructions when you click through. Interview: a single stage interview online. CLICK APPLY for more information and to start your application