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CSQ327R39 We're hiring for multiple roles within our Professional Services team. Depending on experience and scope, this position may be offered as a Senior Solutions Consultant or a Resident Solutions Architect. You may know this role as a Big Data Solutions Architect, Analytics Architect, Data Platform Architect, or Technical Consultant. The final title will align to your experience, technical depth, and customer-facing ownership. As a Data Platform Solutions Architect (Internal Title - Resident Solutions Architect) on our Professional Services team for the Emerging Enterprise & Digital Natives business in EMEA, you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead. The impact you will have: Drive high-impact customer projects: Design and build reference architectures, implement production use cases, and create "how-to" guides tailored to the unique needs of fast-moving Emerging Enterprise & Digital Native customers in EMEA. Collaborate on project scoping: Work closely with Engagement Managers and customers to define project scope, schedules, and deliverables for professional services engagements. Enable transformational initiatives: Guide strategic customers through their end to end big data journeys-migrating from legacy platforms and deploying industry leading data and AI applications on the Databricks platform. Consult on architecture & design: Provide thought leadership on solution design and implementation strategies, ensuring customers can successfully evaluate and adopt Databricks. Offer advanced support: Serve as an escalation point for operational issues, collaborating with Databricks Support and Engineering to resolve challenges quickly. Align technical delivery: Partner with cross functional Databricks teams (Technical, PM, Architecture, and Customer Success) to align on milestones, ensuring customer needs and deadlines are met. Amplify product feedback: Provide implementation insights to Databricks Product and Support teams, guiding rapid improvements in features and troubleshooting for customers. What we look for: Extensive experience in data engineering, data platforms & analytics Comfortable writing code in either Python or Scala Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps Design and deployment of performant end to end data architectures Experience with technical project delivery - managing scope and timelines. Documentation and white boarding skills. Experience working with clients and managing conflicts. Build skills in technical areas which support the deployment and integration of Databricks based solutions to complete customer projects. Travel to customers 10% of the time Databricks Certification but not essential (preferred) About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

About Graphcore At Graphcore, we're building the future of AI compute.We're a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long term investment, we are delivering key technology into the fast growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary As a Senior Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. You will work on large scale systems where performance is critical to the success of our projects. Working closely with the Software development and Research teams, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore's technology. We seek engineers with strong technical skills and an understanding of AI model implementation at scale, eager to make a tangible impact in this rapidly evolving field. The Team The Applied AI team's role is to be proxies for our customers, we need to understand the latest AI models, applications, and software to ensure that Graphcore's technology works seamlessly with the AI ecosystem and at scale. We build reference applications, contribute to key software libraries e.g. optimising kernels for efficiency on our hardware, and collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications. If you're excited about advancing the next generation of AI models on cutting edge hardware, we'd love to hear from you! Responsibilities and Duties Implement latest machine learning models and optimise them for performance and accuracy, scaling to 1000s of accelerators. Test and evaluate new internal software releases, provide feedback to software engineering teams, make necessary code fixes, and conduct code reviews. Benchmark models and key ML techniques to identify performance bottlenecks and improve model efficiency. Design and conduct experiments on novel AI methods, implement them and evaluate results. Collaborate with Research, Software, and Product teams to define, build, and test Graphcore's next generation of AI hardware. Engage with AI community and keep in touch with the latest developments in AI. Candidate Profile Essential Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field. Proficiency in deep learning frameworks like PyTorch/JAX. Strong Python or C++ software development skills Expertise in deep learning from model training to optimisation and evaluation. Experience in distributed training or inference of ML models across 64+ accelerators. Capable of designing, executing and reporting from ML experiments. Developed deep understanding of performance bottlenecks and how to overcome them. Ability to move quickly in a dynamic environment Enjoy cross functional work collaborating with other teams. Strong communicator - able to explain complex technical concepts to different audiences. Desirable Experience in one or more of: MLOps for Kubernetes based clusters Building production systems with large language models Efficient computing based on low precision arithmetic. Experience writing C++/Triton/CUDA kernels for performance optimisation of ML models. Familiarity with HPC systems and networking including Infiniband, NVLink, RoCE technologies. Have contributed to open source projects or published research papers in relevant fields. Knowledge of cloud computing platforms. Keen to present, publish and deliver talks in the AI community. Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers. She will pick the best candidates from Jack's network. The next step is to speak to Jack. AI Engineer Salary: $100K - $250K + Equity Company Description: Solve Intelligence - Series B AI startup backed by Microsoft and YC Job Description: Join the leanest, most talent-dense engineering team in London to revolutionize intellectual property. As an AI Engineer, you will develop proprietary algorithms that push the boundaries of LLM-generated patents. You'll lead the creation of state-of-the-art evaluation pipelines and ship production-ready solutions at lightning speed for a platform seeing 30% monthly growth. Location: London, UK Why this role is remarkable Work with a world-class founding team of PhDs from Cambridge and UCL with successful exits to and BioNTech. Join a rocket ship with $55M in backing from Tier-1 investors like YC, Microsoft, and the founders of Stripe, Perplexity, and Hugging Face. Experience true ownership with significant equity in a company already generating 8 figures of ARR and serving 400+ global IP teams. What you will do Research and implement proprietary LLM algorithms and state-of-the-art prompting methods to maximize patent generation quality. Build and lead the development of a robust, automated evaluation pipeline to benchmark performance on massive datasets. Collaborate directly with the CRO to transition cutting edge R&D into production ready features used by global law firms. The ideal candidate Possesses expert level Python skills and extensive industry experience shipping machine learning algorithms into production environments. Demonstrates deep technical knowledge of LLMs, prompt engineering, and modern evaluation frameworks like OpenAI evals. Brings a full stack mindset with familiarity in PostgreSQL and React to maintain a high shipping velocity in a fast paced environment. Next steps Step 1. Visit our website. Step 2. Click 'Talk to Jack'. Step 3. Talk to Jack so he can understand your experience and ambitions. Step 4. Jack will make sure Jill considers you for this role. Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will introduce you. Step 6. If not, Jack will find you excellent alternatives. All for free.

Job Title: Senior Backend Software Engineer Company Description: - Series B fashion-tech marketplace backed by a16z and YC Job Description: You will architect the transaction layer for the world's first AI-native secondhand fashion marketplace. Reporting to the CTO, you will build scalable systems handling 500k+ items monthly, integrating proprietary computer vision models into core ecommerce flows. This is a high-impact role digitizing a $350B industry while diverting millions of garments from landfills. Location: London, UK Why this role is remarkable: Join a hyper-growth Series B startup that has raised $50M from top-tier investors including a16z, Y Combinator, and HV Capital. Work on FleekSort, a proprietary AI model that is fundamentally transforming global supply chains by automating the grading and pricing of unique items at scale. Massive environmental impact: the platform has already saved 9 million items from landfills and is tripling in size year-on-year. What you will do: Design and scale backend systems for item discovery, search, and complex multi-continent payment and credit workflows. Architect the integration between FleekSort's AI classification engine and the live marketplace to enable real-time inventory structuring. Lead technical direction within a senior squad, mentoring junior engineers and defining engineering standards for a rapidly growing 100-person team. The ideal candidate: 3-6 years of backend experience with Node.js and TypeScript, specifically building high-traffic consumer marketplaces or fintech products. Proven ability to design complex system architectures and data models from scratch while navigating the ambiguity of a fast-paced startup. Product-minded engineer who prioritizes commercial outcomes and user experience over pure technical perfection, ideally with interest in AI deployment. We never post fake jobs This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network. Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description. We appreciate this can make them look a bit suspect, but there isn't much we can do about it.

Research Software Engineer & Senior Research Software Engineer £45,031 - £52,514 including London Weighting Allowance (Grade 6) £53,947 - £63,350 including London Weighting Allowance (Grade 7) About us King s Digital Lab is a Research Software Engineering (RSE) team embedded within the Faculty of Arts and Humanities at King s College London. We design and implement systems, infrastructure, tools, and processes needed to produce a heterogeneous range of high quality digital scholarly outputs. As an RSE laboratory, KDL is deeply committed to co-research and is constantly evolving as new tools and methods appear. We have an open, collaborative culture, both within the Lab and with our research partners. We are a small team that emphasises inclusivity and trust in our staff. We embrace flexible working, including flexible hours and extensive hybrid working 80% remote and 20% on campus is typical. In person work is based in a small open plan office on King s busy Strand campus, operating on a hot desking basis in line with our hybrid approach. Whether remote or in-person, we support our staff to ensure they have the right equipment to work safely and effectively. This flexibility requires mutual trust. Our team members do much of their work independently and we rely on each other to work collaboratively at a distance, checking in and coordinating according to project and team needs. We encourage applicants to read our blogs to understand more about the culture and working environment. About the role: Your main responsibility is to develop high-quality code to support product specifications and requirements in collaboration with research leads and the RSE team. You will have expertise in at least one programming language and proficiency in others, along with a keen interest in software development. Your role involves producing research solutions, from algorithms to web applications; you may have specialised skills in areas such as immersive/XR, machine learning, devops, or web development. You'll have the ability to work independently or as part of large research projects or software engineering teams. A crucial aspect of the role is contributing to e-Research capability within your department, research group, or lab, as well as across the university. Awareness of best practices in software development, digital research methods, and data management is essential. If you are appointed as a Senior Research Software Engineer, you will have advanced expertise and take a leading role in planning and decision-making related to the research solutions KDL produces. Within this role, you will have opportunities to expand your skills working with new and emerging technologies across multiple disciplines and sectors. In addition to your core design and development responsibilities, you will be encouraged to develop a personal research agenda and explore opportunities for external funding and collaboration with academic colleagues. Our projects typically span several years, with periods of high and low activity. This means you will be engaged with multiple projects at any given time, across a range of disciplines, supporting academic partners to explore their research questions. Combined with an Agile approach to project management, this offers variety both in the projects themselves and in the approaches and tools you use. Success metrics are related to the research question the project is seeking to answer. Most of our work is funded by public research councils; while this means complying with regulatory reporting requirements (e.g. tracking time for charging purposes), it also means you will have opportunities for significant intellectual engagement. You will work with partners to determine the best approaches to meet their requirements, adapting as the project develops. Interest in and/or skills related to one or more of KDL s priority Research Themes, particularly in the area of Digital Creativity, would be desirable. Collaborative engagement is central to our work, and we believe that diversity strengthens our team and the research we support. We welcome applications from people of all backgrounds and career paths, and encourage candidates to think broadly about their transferable skills, including those gained outside traditional academic or technical routes. We particularly welcome applications from women and gender minoritised candidates, candidates from minoritised ethnic backgrounds, and disabled candidates, as they are underrepresented within King s in this type of role. We are happy to discuss reasonable adjustments at any stage of the process. Alongside our established hybrid working and flexible hours, we are open to conversations, within the scope of the role, about less traditional working arrangements to support individual needs. Additional references: This is a full time post (35 hours per week), and you will be offered an indefinite contract About you: To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria Expertise with modern web development stacks (Python/Django, JavaScript/TypeScript/Node.js, containerisation, CI/CD pipelines, cloud platforms) and ability to write performant, maintainable, well-tested code following best practices. Experience of making well reasoned technical decisions in design, architecture, and development, using appropriate technologies and methodologies. Senior RSE: Advanced skills enabling responsibility for complex technical decisions and technical direction within a project or service. Strong analytical and problem-solving skills to handle complex, novel research challenges, with flexibility to thrive in a fast-paced research environment with changing requirements. Excellent collaboration and communication skills, including an inclusive approach, supporting a positive and open team culture and enabling effective collaboration with researchers and team members; Senior RSE: including ability to guide/mentor others. Skills in data modelling for database design for research applications, ensuring flexible, extensible data schemas. Motivation for learning and adopting new technologies when appropriate. Understanding of accessibility, security, privacy, and other critical concerns for research apps. Senior RSE: Advanced proficiency, alongside the ability to provide effective and inclusive leadership, strategic perspective and to advocate for quality in architecture/code. Desirable criteria Understanding of agile software methodologies and experience leading or participating in sprints/timeboxes. Experience contributing to training, workshops, or knowledge-sharing activities related to software engineering practices, advanced research methods, technical tools, design approaches or accessibility. Knowledge of or experience working in digital humanities, social sciences, or research development within higher education or cultural heritage contexts. Experience with composable architectures (e.g. Jamstack), static web development, progressive enhancement and/or minimal computing. Knowledge of/experience with tools and practices related to one or more KDL s priority Research Themes, such as: Machine learning: methods and how to responsibly apply in applications. Data visualisation: methods and techniques to enhance access to complex datasets. Digital Creativity: immersive/XR tools such as real time engines (e.g. Godot/Unity/Unreal), WebXR libraries (e.g. three.js,) and 3D modelling tools (e.g. Blender, Maya.) Indigenous Digital Humanities: approaches and considerations appropriate for working in a range of cultural contexts and/or with culturally sensitive data. Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Further Information At King s, we believe that the diversity of our community and a culture that is welcoming, open, inclusive and collaborative, are great strengths of the university. The Equality Act of 2010 protects the rights of our students and staff and provides a framework to fulfil our duties to eliminate unlawful discrimination, harassment and victimisation and in addition, to advance equality of opportunity and foster good relations between those who share a protected characteristic and those who do not. At times, this will include balancing rights and beliefs that can feel in tension. We are committed to free speech and to academic freedom, believing that our foundational purpose as a university, is to create spaces where a wide range of ideas, including ideas that are controversial, can be discussed and debated, and where members of our community can express lawful views without fear of intimidation, harassment or discrimination. When engaging in the robust exchange of ideas, we ask that our community is mindful of our Dignity at King s guidance. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible. We reserve the right to close adverts early due to the volume of applications we receive. While the closing date may change . click apply for full job details

Introduction Together, we re working to welcome millions more passengers, while ensuring aviation can continue to be a force for good by leading global efforts in sustainability. At Heathrow, you can be part of this providing solutions that make every journey better for millions each year. That means ensuring we meet the changing needs of the passengers, colleagues and partners who use our airport to work, travel, trade, shop, eat, explore and connect. Our Solutions team covers project management, process improvement, business change, technology, cyber defence, masterplanning, infrastructure and procurement. It brings together people with the skills to deliver prestigious and often large-scale projects, from transforming terminals to making big reductions in our carbon emissions. Every day will test your skills and give you the opportunity to make your mark. You might be working with the technology and data that power our city within a city, driving vital commercial agreements with everyone from retailers to airlines, or improving the unique infrastructure that includes everything from 200 buildings to 250 HV substations. It s a collaborative environment, where you can rely on the support of the experts around you as you take on projects you ll both take pride in and feel passionate about. Job Description Our Digital Future is a core Heathrow beacon, driving airport-wide transformation to become a digitally integrated, data-led airport by 2031, delivering greater resilience, efficiency and growth. Delivered with Data and Tech, it underpins strategic and organisational change. The Senior Digital Strategy Manager, will report to the Digital Transformation Director with a dotted line to the Head of Strategy and will drive the development of the digital transformation strategy in line with Heathrow s priorities, customer needs and rapid technological change. Your role will involve Stay informed on external trends in technology, data and AI, using insights to shape Heathrow s digital strategy Review and evolve the Digital Future vision, ensuring alignment with corporate strategy, priorities and KPIs Partner with business functions to define robust business cases for key digital products and services Co-develop and maintain a 36 month strategic roadmap for Digital Transformation Support delivery by enabling effective tracking, reporting and realisation of financial and non-financial benefits Lead governance activities including budgeting alignment, QBRs, regulatory inputs and senior stakeholder engagement These skills are essential Experience defining and owning digital transformation strategy (industry, consultancy or both) Experience across large, asset-intensive, engineering or complex operational environments Experience working in transformation functions alongside delivery-focused teams Strong experience supporting programme reporting, particularly on realised outcomes Skilled in facilitation, leading cross seniority workshops to shape strategy Proven ability to support executive decision-making and trade-offs across digital priorities About us With 80 million passengers passing through our airport each year, it takes hundreds of systems, platforms and networks to keep our airport running smoothly, 24 hours a day, 365 days a year. Join us, and you ll thrive on the buzz of providing the technology, data, cyber and digital capabilities that run all the services you d expect to see in a city and more. Tech at Heathrow isn t typical the scale and non-stop nature of our airport make it truly unique. Our Data, Digital and Technology team are leading the way in innovations that will make our airport more efficient, resilient and competitive, in an increasingly digital marketplace, as well as keeping Heathrow safe and secure. Every day will test your skills and give you the opportunity to make your mark. We re constantly looking for new ways to help Heathrow transform and grow, responding to the changing needs of passengers, colleagues and partner businesses. It means the chance to work on a huge variety of inspiring projects and to develop in lots of exciting directions. Our team covers technology, cyber defence, data and digital, offering one-of-a kind careers you won t find anywhere else. Apply Before 03/06/2026, 23:59

Artificial Intelligence & Automation Data Engineer Location: United Kingdom Ref: REF4155A Job Function: Information Technology Responsibilities Establish, manage, and evolve the company's Data, AI and Automation processes, support senior management in developing and achieving the organisations strategic plan as well as the development and delivery of the data, AI and Automation capabilities. Oversee the development and use of data, AI and Automation systems, driving the adoption of a centralised standard of these solutions across Smiths Group and its divisions, actively promoting CoDe. capabilities. Solutioning innovative ways to organise, AI and Automation processes through the creation and validation of algorithms, neural networks, and other machine learning techniques. Provide leadership on the implementation of security & authorisations best practice for accessing AI and Automation solutions. Work proactively with internal and key business partners that contribute to the delivery of analytic, AI models through projects and BAU, exploring new analytics and dashboard tools and where appropriate advice on new solutions that can improve the effectiveness of organisation. Help to solution, implement and maintain operating models that optimise onshore and offshore resourcing to create the maximum value for Smiths Group Manage and distribute workloads to the D&A team members, balancing the key strengths of the D&A team along with career aspirations, providing direction and day-to-day oversight, striving to deliver outstanding results. Take leading role in the growth of Team and support the development of D&A and Divisional team members through coaching and mentoring Data Develop Data, AI and automation solutions. Test, deploy, and maintain intelligent systems. Collaborate with data scientists and other engineers to integrate AI into broader system architecture. Stay current with AI trends and suggest improvements to existing systems and workflows. Create a Roadmap that delivers the vision and embeds capabilities to ensure master/reference data, data quality management, data cataloguing, data governance, traceability are established and governed as a foundational pillar, ensuring the use of trusted high-quality data across BIS and all divisions. Developing and managing data platform; data management; and tooling and access controls for all business and technical users Provide business focused data-related guidance and thought leadership across data architecture, data governance and data integration, and the associated technologies Ensure all D&A deliveries are performance assessed and can execute within response times within business acceptable criteria. Lead on the development and maintenance of dashboards, forms, and other tools to facilitate the interaction with data management systems for non-technical users Implement and regularly review existing data management policies to make sure that they are up to date and effective, revising and improving as necessary Collaborate across the Smiths divisions to discuss any data problems, new or additional requirements and support project specification development. Support the creation of Data Analytic Models and Data Visualisations (eg PowerBI) within the Azure platform. Own and govern the code promotion process for Analytic Models and Visualisation code sets into the QA and production environments. Organise, store and analyse data as efficiently as possible, while always upholding agreed-upon security standards Manage PowerBI Licences, Gateways and Microsoft visual studio installed in Smiths. Develop documentation and training material for applications. Evaluate, design, implement and support new requirements or database changes using associated business requirements and design documents. Design and develop new analytics / models using the new data sets to expedite data analysis and reporting. Provide technical oversight for integrating new technology or new initiatives into existing data standards and structures. Monitor and analyse information and data systems and evaluate their performance to discover ways of enhancing them (new technologies, upgrades etc.) Ensure the integrity, confidentiality, and security of all developed solutions. Establish rules and procedures for data sharing with upper management, external stakeholders etc. Create and enforce policies for effective data management. Support others in the daily use of data systems and ensure adherence to legal and company standards. Provide regular progress reports to your manager on BAU activities and progress against project deliverables. Regularly provide accurate availability/capacity reports for the D&A team to assist with project planning and future recruitment needs. Act as a mentor to new super users within the Divisions using PowerBI technology. Lead the weekly team meeting, owning the agenda and encouraging engagement from the D&A team Qualifications Educated to degree level or equivalent. Experience with machine learning, deep learning, NLP, and computer vision. Proficiency in Python, Java, and R Strong knowledge of AI frameworks such as TensorFlow or PyTorch. Experience in Data Science techniques and methodologies. Excellent problem-solving skills and ability to work in a team environment. Thorough and proven understanding of the principles of data security, management, and administration Proficient at digesting and analysing large amounts of data. Excellent understanding of data administration and management functions (collection, analysis, distribution etc.) Experience in working with offshore and onshore support model. Experience in working with information technology. Experience in BI tools (PowerBi, OBIEE, Tableau, QlickView etc). Good knowledge of SQL language and simple analysis techniques to profile data Technical experience and knowledge in On-Premise and Public Cloud Data Services focused on: Database architecture, ETL, Data Mining, Business Intelligence, Big Data, Data Governance, Data quality, Data Cleansing Experience with Microsoft Azure a plus: Azure SQL Database, Analysis Services, Databricks, Data Lake, Logic Apps and Data Factory Understanding of Big Data technologies (Hadoop, Spark) Able to create rich visualisations that appropriately represent the underlying datasets. Review and align the reporting attributes against the Enterprise and conceptual data models Business functional knowledge - able to work with Business SMEs to relate the process to the underlying data. ERP experience and implementations (nice to have) Excellent organisational and project management skills Passionate and curious about new technology and the tech industry Excellent verbal and written communication skills with the ability to interact at all levels within the Smiths Group General understanding of PaaS Concepts - ideally in MS-Azure Cloud BI experience could be an asset Diversity & Inclusion We believe that different perspectives and backgrounds are what make a company flourish. All qualified applicants will receive equal consideration for employment regardless of race, colour, religion, sex, sexual orientation, gender identity, national origin, economic status, disability, age, or any other legally protected characteristics. We are proud to be an inclusive company with values grounded in equality and ethics, where we celebrate, support, and embrace diversity. At no time during the hiring process will Smiths Group, nor any of our recruitment partners ever request payment to enable participation - including, but not limited to, interviews or testing. Avoid fraudulent requests by applying jobs directly through our career's website (Careers - Smiths Group plc ).

Title: Senior Product Designer Salary Range: £58,000 - £77,500 Location: Remote, anywhere in the United Kingdom. The role We're looking for an experienced Senior Product Designer to help shape the next stage of Isla's product experience as we continue to grow. Reporting into our Director of Product, this is a hands on individual contributor role for someone who enjoys solving complex product problems and collaborating deeply with cross functional teams. Partnering closely with Product, Engineering and our clinical safety officer, you'll play a key role in improving UX quality across the platform. You'll be the voice of the user across Isla and will be helping simplify complex workflows, strengthen discovery and research practices, and ensure we build thoughtful, user centred experiences in a highly regulated environment. You'll help to create the conditions for great design to happen: advocating for strong UX thinking, improving design practices, and ensuring design remains an enabler rather than a bottleneck as we scale. What you'll do Design intuitive product experiences - you will design complex clinical and patient facing experiences end to end, from flows and wireframes through to polished UI and implementation ready designs. Be the voice of the user - ensure user needs are represented throughout the product development process, from early discovery and problem definition through to delivery and iteration. Improve UX quality across the platform - proactively identify friction, inconsistencies and opportunities to simplify workflows and improve the overall user experience. Make research stick - building on our existing research practice to make it more structured, consistent, and impactful. You'll help ensure insights are visible, accessible and actively shaping product decisions, including establishing repeatable usability testing processes to ensure it's never deprioritised or missed - both critical requirements for medical device compliance and clinical safety. Bring data into the design process - champion the use of quantitative and qualitative data together, helping the team make evidence led decisions. Champion accessible and inclusive design - design experiences that work for users with a wide range of abilities and access needs, including visual, motor, cognitive and literacy impairments. Apply accessibility best practices and WCAG principles throughout the design process, contributing to inclusive patterns and standards within the design system. Contribute to the evolution of our design system - keep it healthy, consistent and evolving alongside the product, with an eye on AI readiness and long term scalability. You'll contribute to improving consistency and collaboration between design and engineering as the system evolves. Improve design ways of working - contribute to stronger discovery, prioritisation, critique and collaboration practices as the product and design function continues to mature. These practices must align with the rigour that medical device certification requires. Influence our approach to AI - explore and experiment with AI tools within the design workflow, helping identify practical ways they can improve speed, quality and collaboration. What we're looking for Strong end to end product design skills - from discovery, journey mapping and wireframing through to polished UI and implementation ready designs. Systems thinking - you consider the broader ecosystem your design decisions exist within, understanding how changes in one area can affect others across a complex, multi user product. Excellent product and UX instincts - able to simplify complex workflows, identify user problems, and design thoughtful, intuitive experiences grounded in evidence and user insight. A highly collaborative approach - comfortable working closely with Product and Engineering to shape solutions together, not just execute requirements. Experience contributing to or evolving design systems, with an appreciation for scalability, consistency and strong collaboration between design and engineering. Confidence using both qualitative and quantitative data to inform decisions and evaluate outcomes. Curiosity about AI and emerging tooling - you actively explore new tools and think critically about how they can improve design workflows and product experiences. Strong instincts for improving ways of working - contributing positively to discovery, critique, prioritisation and collaboration practices within fast moving product teams. Comfortable operating in ambiguity and proactively identifying opportunities to improve UX quality, team effectiveness and the overall product experience. Deep expertise in accessibility and inclusive design - you design confidently for users with a wide range of needs, have a thorough command of WCAG guidelines and accessibility best practices, and treat inclusive design as a core part of creating safe, usable clinical products. Experience in designing digital products in regulated or clinical environments is a bonus, but we're open to candidates from any industry - we'd love to hear from designers with varied backgrounds who can bring new ways of thinking to the problems we're solving. Hiring Process A 2 minute video submission: Successful applicants will be asked to send a short elevator pitch. We want to see the person behind the CV. Screening call with a member of our Operations team (15-20 minutes). Technical interview with a design and cross functional team member. Part 1 - present a case study and Q&A. Part 2 - design critique (1 hour). Final interview with our Co founder and Director of Product (30 minutes). Benefits Work from home or at our office in 131 Finsbury Pavement - Industrious. EMI equity options. Flexible working times. Work abroad for up to 90 days per year. Enhanced parental leave. 25 days annual leave (on top of bank holidays). Take your birthday off and another significant day off of your choice. Treat your friends or family to a meal each quarter (up to £75). A monthly wellbeing bonus (£50 per month for gym membership/wellbeing activities) or private medical insurance. Quarterly team socials. An annual learning budget to support your growth. Delivering social impact through improved patient healthcare. Working at a well founded and rapidly growing start up, solving a global problem in a new way.

Role: Data and AI Tech Lead Outside IR35 Contract Rate: Negotiable Location: London, UK - Hybrid (Hybrid 1 or 2 Days Onsite a week) No of positions: 1. Role Overview We are seeking a Data & AI Technical Lead to drive the Discovery & Design phase of a large scale M&A program for a Retail & CPG client. This role will lead the technical direction across a complex, multi cloud data landscape spanning Azure, AWS, GCP, Databricks, and Snowflake. You will oversee and guide senior Data Architects, ensuring architectural alignment, technical quality, and business relevance. The role sits at the intersection of business strategy, data architecture, and platform engineering, acting as a key liaison between client stakeholders, IT teams, and the Chief Data Office. This is a high impact leadership role requiring both hands on architectural depth and stakeholder influence at senior levels. Key Responsibilities Technical Leadership & Architecture Governance Provide strategic and hands on technical leadership across multi cloud data platforms (Azure, AWS, GCP). Guide and mentor senior Data Architects, ensuring consistency in design patterns, frameworks, and standards. Define interim state, target state, and transitional architectures for M&A integration (data platforms, analytics, AI/ML enablement). Establish best practices across Databricks, Snowflake, and cloud native data services. M&A Discovery & Design Lead data discovery across merging entities: systems, pipelines, governance, and data models. Define integration strategy (consolidation vs federation vs hybrid). Identify synergies, redundancies, and risks in data ecosystems. Produce high quality architecture blueprints, roadmaps, and design artifacts. Stakeholder Management & Liaison Business stakeholders. Act as the primary technical interface between IT/Engineering teams, Chief Data Office (CDO), and client side architects and leadership. Translate business objectives into scalable technical solutions. Facilitate architecture reviews, design workshops, and decision forums. Data & AI Strategy Enablement Define foundations for advanced analytics, AI/ML, and data products post M&A. Align architecture with data governance, security, and compliance frameworks. Enable scalable, future proof data platforms supporting Retail & CPG use cases (e.g., demand forecasting, customer 360, supply chain optimization). Delivery Oversight Review and validate design outputs from architects and engineering teams. Ensure architectural integrity during discovery and early delivery phases. Manage risks, dependencies, and technical trade offs. Support estimation, planning, and prioritization activities. Required Skills & Experience 15+ years in Data & Analytics, with 5+ years in leadership roles. Strong hands on experience across Azure cloud, ADF, DevOps, Power BI, Fabric workspaces. AWS cloud, S3, cross cloud connectivity, API Gateways. GCP (BigQuery, GCS, Dataflow) Deep expertise in: Databricks (Lakehouse architecture, Delta Lake, Unity Catalog, Delta Sharing, PySpark, Spark SQL, etc.). Snowflake (data warehousing & data sharing, Iceberg) Strong understanding of: Data architecture patterns, industry benchmarking. Data integration patterns (ETL/ELT, streaming, CDC, APIs). Data governance & metadata management. Architecture & M&A Experience Proven experience in M&A data integration, platform consolidation, or carve outs. Experience designing multi cloud or hybrid data architectures. Familiarity with enterprise architecture frameworks (TOGAF or equivalent). Leadership & Stakeholder Skills Experience managing or leading senior architects or technical teams. Strong communication skills with the ability to influence C level stakeholders. Ability to bridge business strategy and technical execution. Experience working in consulting or client facing roles.

We are supporting a global speciality insurer on the hire of a Senior Full Stack Developer to join a critical technology programme focused on modernising a legacy platform while delivering new cloud native services. This is a hands on engineering role, working across both legacy systems and modern cloud architecture in a highly collaborative, agile environment. Key Responsibilities Maintain and enhance existing legacy applications, including refactoring where required Design, build and support backend services and API integrations Troubleshoot complex, end to end production issues Develop and optimise SQL / T SQL queries and database structures Build and deploy cloud native services across Azure and/or AWS Implement secure authentication and integration patterns (REST / SOAP) Support CI/CD pipelines and contribute to DevOps best practices Collaborate with QA, DevOps, and business stakeholders to deliver incremental improvements Qualifications Strong experience with C#, .NET Core and backend service development Strong Python experience Solid understanding of Exposure Management principles Solid SQL / T SQL skills including performance optimisation Frontend experience with JavaScript, HTML, CSS (jQuery desirable) Hands on experience building and deploying applications in Azure or AWS Experience with serverless technologies (e.g. Azure Functions, AWS Lambda) Strong understanding of API development and integration patterns Experience troubleshooting production systems in a live environment Desirable Experience Exposure to event driven architecture (queues, messaging systems) Familiarity with observability tools (e.g. Application Insights, Datadog) Understanding of security concepts such as OAuth2 and JWT Experience working in agile delivery environments Initial 6-month contract with strong likelihood of extension Hybrid working arrangement Competitive day rate This role would suit an experienced engineer who enjoys working across both legacy and modern systems, and is comfortable taking ownership of complex technical challenges in a live environment.

This is an analytics engineering role for someone who thrives on complex, high value work where the path forward is not always obvious. As an Analytics Engineer in Strategic Projects, you'll sit at the heart of Virgin Media O 's data transformation, turning critical business priorities into trusted, reusable and decision ready data products. You'll be the person called on when the work is strategically important, crosses domains, or carries technical risk, using your judgement to make sure it's built once, built well and built to last. In practice, you'll translate broad and sometimes ambiguous business questions into certified business layers, robust transformation logic and clear semantic definitions. You'll design and build analytics engineering solutions that support executive decisions, strategic products and data driven agents, while keeping governance, quality and reuse front of mind. Working closely with Heads of Data, Data Product Owners, BI specialists and partner engineers, you'll challenge weak assumptions, protect standards and share proven patterns back into the wider analytics engineering community so others can move faster without compromising quality. Must Haves Senior analytics engineering experience delivering data products or strategic data projects Strong hands on SQL and cloud data platform experience, ideally using BigQuery and dbt Proven ability to build certified, reusable business logic and semantic layers Solid understanding of data governance, quality, lineage and controlled release practices Experience working across business, product and engineering teams on complex initiatives Other qualifications we are looking for Experience supporting conversational analytics, AI agents or intelligent automation Familiarity with tools such as Atlan, Monte Carlo, Tableau or similar platforms Experience reviewing or overseeing partner deliveryA background in defining or sharing reusable analytics engineering patterns Confidence operating in ambiguous problem spaces Benefits We know life isn't just about work, so our benefits are built to support you in the moments that matter. You'll get Bupa healthcare, wellbeing support, life cover, a pension and generous holiday -plus your birthday off. And there's more. Enjoy some extra perks on us, with optional electric vehicle lease and Cycle2Work schemes, dental insurance, neurodiversity assessments, and brilliant discounts on broadband, TV and mobile. You'll even get access to the Virgin Family platform and the O Priority app, with exclusive rewards, experiences and chances to attend events at The O and beyond. Virgin Media O is an equal opportunities employer and we work hard to remove bias and barriers. We want every person who joins us - and everyone thinking about joining us - to feel seen, heard and supported.

Role: Data Engineer Location: Newcastle Upon Tyne Salary: TBC - Depending on experience Levels: Senior Analyst, Specialist Hybrid Working: 3 days per week in our Newcastle, Cobalt business park office Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) and declaration of being a British or EU passport holder or hold Indefinite Leave to remain within the UK at the point of application. Note: The above information relates to a specific client requirement About the Team Our Advanced Technology Centre is a hub of innovation where we deliver high quality data and technology services to clients across both the public and private sectors. If you're looking for a dynamic role that offers hands on experience with modern data technologies and the chance to shape large scale data solutions, this position offers you the opportunity to develop and progress rapidly. Role Overview As a Data Engineer, you will design, build, and maintain scalable data solutions that enable analytics, AI, and operational insights. You'll work alongside client and internal teams to create robust data pipelines, ensure data reliability, and support cloud based architectures that power intelligent decision making. Key Responsibilities Data Pipeline Development Build, optimize, and maintain scalable data pipelines using Java (primary), plus exposure to Python, Flink, Kafka, or Spark. Develop and support real time streaming pipelines and event driven integrations. Integrate data from multiple sources (streaming, batch, APIs) using AWS managed services (e.g., Kinesis, MSK, Lambda, Glue). Data Architecture & Standards Contribute to data modelling, data architecture best practices, and modern patterns (e.g., medallion architecture). Ensure data quality, lineage, governance, and security controls are applied consistently. DevOps & Deployment Deploy and maintain data applications using CI/CD tooling (Azure DevOps, GitHub Actions, Jenkins). Use Infrastructure as Code (Terraform, CloudFormation) to manage cloud environments. Work with container technologies such as Docker and Kubernetes based workloads. Collaboration Work closely with analytics, ML/AI, and product teams to deliver clean, well structured datasets. Participate in code reviews and internal knowledge sharing sessions. Provide guidance to junior engineers where needed. Qualification Core Data Engineering Strong programming proficiency in Java (preferred) or Python. Hands on experience with at least one of: Kafka, Flink, Spark (Flink/Kafka preferred for streaming). Solid understanding of stream processing concepts (e.g., event time, state, backpressure). Understanding of software engineering best practices: testing, design patterns, CI/CD, Git. Experience building ETL/ELT or streaming data pipelines. Exposure to microservices and distributed system concepts. Experience working with cloud platforms, ideally AWS, but Azure/GCP also acceptable. Understanding of distributed compute, large scale data systems, and performance considerations. DevOps & Engineering Practices Experience with CI/CD tools (Azure DevOps, GitHub Actions, Jenkins etc.). Infrastructure as Code (Terraform preferred). Experience with containerisation (Docker) and orchestration platforms (Kubernetes/EKS). Certifications & Tools Exposure to enterprise data platforms (Databricks, Snowflake, BigQuery, or similar). Cloud certifications (AWS, Azure, GCP) are beneficial but not required. Other Requirements Minimum 3 years' experience working on data engineering or large scale data solutions. Comfortable working in Agile delivery teams. Strong communication skills and ability to collaborate with technical and non technical stakeholders. Desirable Experience in client facing or consulting environments. Professional cloud or data engineering certifications. Experience mentoring or supporting junior engineers. Background in designing or operating real time, low latency systems.

Senior Technical Business Analyst £150,000 Permanent London Industry: Commodity Trading Location: London - 3 days Onsite Job Type: Permanent Our client is a global commodity trading house operating across energy and commodities markets, including power, gas and LNG. They are seeking a Senior Technical Business Analyst to sit at the intersection of front office trading and technology delivery, helping shape the pricing tools, curve analytics and market data infrastructure that underpin trading activity across the business. This is a highly commercial and analytical role focused on forward curve construction, fair value pricing and front office tooling. You will work closely with traders, quants and market risk teams to build and enhance pricing models across power, gas and LNG markets, while also acting as a key bridge into technology and analytics teams. The role requires someone who combines deep commodity market understanding with strong technical capability and the ability to independently deliver solutions in a fast-moving trading environment. What You'll Be Doing Build, maintain and improve power forward curves and fair value pricing models, incorporating key market drivers including gas prices, carbon costs, generation stack economics, weather and demand dynamics. Develop and validate forward curves across gas and LNG markets, including handling illiquid tenors and understanding the interaction between global LNG pricing benchmarks. Work directly with traders, quants and market risk teams to capture commercial requirements and translate them into clearly defined technical initiatives. Build proof of concepts and analytical tooling in Python and Excel, with the ability to deliver production-ready solutions where appropriate. Act as product owner for internal pricing, analytics and visualisation tools, maintaining a prioritised roadmap aligned to front office requirements. Support the implementation and enhancement of trading analytics infrastructure, ensuring scalability and alignment with business growth objectives. Leverage modern development practices and AI-assisted tooling to improve delivery speed, automation and documentation quality. Provide hands on support for traders using pricing tools, market data feeds and analytical models as part of day to day trading operations. Requirements Essential Strong experience within commodity trading environments, with particular expertise across power markets, forward curve construction and fair value pricing methodologies. Deep understanding of power market fundamentals, including gas, carbon, renewables, hydro, demand and generation stack dynamics. Knowledge of spark spreads, dark spreads and cross commodity pricing relationships within power generation economics. Strong understanding of gas and LNG markets, including global benchmark pricing relationships and curve construction in less liquid markets. Excellent technical capability in Python and Excel, including building pricing models, automating processes and constructing analytical tooling independently. Experience working closely with front office trading teams and translating commercial workflows into scalable technology solutions. Strong understanding of the trade lifecycle and how front office activity impacts downstream risk, P&L and operational processes. Ability to operate autonomously within a flat, high performance trading environment and take ownership of delivery. Highly Desirable Experience working with ETRM systems and understanding trade data flows across trading platforms. Exposure to pricing analytics, visualisation platforms or internal front office tooling ownership. Experience bridging front office, quantitative and engineering teams within trading organisations. Familiarity with AI assisted development tooling and modern delivery practices.