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Staff Data Engineer | SQL, Python, AI-Ready Systems | Up to £150k, Remote We’re hiring a Staff Data Engineer to work directly with senior stakeholders of a company building one of the world’s largest data platforms. This role is focused on solving complex, real-world data problems not dashboards or standard analytics. This is a high-impact IC role with real ownership over core data systems. You’ll be working with messy, multi-source data (global company and ownership data), and will own how that data is structured, cleaned, and made usable across the business and for AI systems. What you’ll be doing: • Designing robust data models for complex, inconsistent datasets, • Handling challenges like deduplication, identity/entity resolution, and data quality, • Building scalable pipelines with SQL, Python, and modern data tools, • Structuring data so it’s reliable, explainable, and AI-ready (LLMs/RAG) What they’re looking for: • Strong SQL + Python experience, • Background in data engineering or analytics engineering at scale, • Experience working with messy or multi-source datasets, • Someone who cares about data quality, correctness, and real-world meaning, • Bonus: experience in fintech, risk, identity, or similar complex data domains Remote £120k–£150k Staff Data Engineer | SQL, Python, AI-Ready Systems | Up to £150k, Remote

AI Engineer (LLMs, Agents, MCP, ML) Location: Remote (UK) Salary: £80,000 – £100,000 Neulinx have partnered with a global SaaS platform in the hospitality and travel space, who are hiring an AI Engineer into a high-impact role. The business is widely recognised as one of the UK’s leading AI-driven SaaS companies, and a standout performer within the hospitality technology space, and is now doubling down on embedding AI across its product and engineering ecosystem. The Opportunity You’ll join a 45+ person engineering team and play a key role in shaping how AI, LLMs and machine learning are integrated into a live, scaled platform. This is not a research role. It’s a hands-on position where you’ll build, ship and see your work used immediately by a global customer base. What You’ll Be Doing • Designing and delivering AI-powered product features and workflows, • Working with LLMs in production, including prompt engineering and optimisation, • Building AI agents and advanced workflows, • Developing and integrating MCP services and API-driven AI interactions, • Embedding AI into core product functionality, integrations and internal systems, • Identifying and delivering practical AI use cases at scale What They’re Looking For • Hands-on experience with LLMs in real-world applications, • Experience with either:, • AI agents, MCP services and advanced workflows, or, • ML / deep learning models (e.g. pricing, analytics), • Strong engineering capability, ideally with Python and AWS, • Experience integrating AI into existing products or platforms, • A practical, delivery-focused mindset Why This Role • Work on a global, scaled SaaS platform with real users, • Be part of a high-performing 45+ engineering team, • Shape how AI is embedded into a live product at scale, • Remote-first, flexible working If you’re an AI Engineer who wants to build meaningful AI capability in a real product environment, go ahead and apply.

About Euphoric: Euphoric builds AI-first employee benefits administration software for the world’s largest and most prestigious employers. Born out of Peppy Health — a fast-growing, category-defining Series B startup — we spun out in May 2025 to tackle a far bigger opportunity. Global employers spend $3–5 trillion on benefits every year. It’s their second-largest cost after payroll — yet the entire category is still running on legacy systems and outdated assumptions. The space is primed for transformation: despite its scale, it’s been almost completely overlooked by AI-first startups. Incumbents — including one U.S. heavyweight with $2B+ in annual revenue — are constrained by archaic tech stacks and can’t move fast enough to innovate. And this isn’t just a massive market — it’s genuine “tech for good.” Smarter benefits administration, richer analytics, and clearer communication have the power to directly improve the everyday lives, wellbeing, and financial security of millions of employees worldwide. We’re a sharp, high-velocity team with bold ambitions, obsessed with building category-defining technology and partnering with exceptional people who want their work to truly matter. We closed our seed round in October 2025 and are building from a position of strength with a long cash runway. The role: We’re looking for a Software Engineer to bring their ambition, creativity, and technical prowess to join our high-powered team to build the technology that powers the world’s first lovable, AI-native benefits platform. You’ll have real ownership, big targets, and a chance to help shape both the work you do and the company in general. We care less about traditional career paths and more about raw talent, bias for action, and how much fire you bring. What you’ll do: • Build AI-first features end-to-end: You’ll contribute to the design, deployment, and iteration of our next-generation benefits platform features that leverage personalization, experimentation, and AI/ML methods (e.g. agents/LLMs, recommender systems, reinforcement learning) to enhance user experience in a meaningful business domain., • Contribute across the tech stack: You’ll work in React (JavaScript/TypeScript) on the frontend and Python (FastAPI, SQLAlchemy) on the backend, shipping production-ready code and user-facing features in addition to innovative ML work., • Live on the cutting edge of AI tooling: You’ll help push the boundary of what’s feasible with modern AI-powered software development tools (Cursor, Windsurf), keep up with the regular drumbeat of AI advances, and find new and exciting ways to build and explore new features faster., • Participate in a fast-paced iterative environment: Collaborate closely with design, product, and beyond to deliver and iterate on impressive features and prototypes at world-class pace., • Keep code clean and well-tested: Maintain clean, efficient, and tested code with clear documentation for both peers and future reference., • Review, refine, and grow: Actively participate in peer reviews, CI/CD processes, and a growth-minded engineering culture, where you continuously seek to level up your technical skills., • Be a team player: Sometimes you’ll be iterating on ML pipelines; other times you’ll be refining a frontend component or fixing a tricky bug. We need someone who’s excited about the full product journey and moving together as one. Skills & experience: • Industry Experience (2+ years): Prior experience contributing to impactful products in fast-paced or startup environments, with an understanding of both scale and quality from larger tech organisations., • Hands-On Full Stack Skills: Proficiency in React/Typescript and/or Python (RESTful APIs, data pipelines), plus comfort with deploying and maintaining services on modern cloud platforms (GCP preferred, AWS or Azure also fine)., • Applied AI/ML Skills: First-hand experience building and delivering AI/ML features to real users, and an insatiable curiosity to keep up with emerging technologies and trends, • Team-Oriented Mindset: Strong communication skills for explaining complex ideas to technical and non-technical audiences, and a passion for collaborating within cross-functional teams., • Passion and Pride in Shipping: A do-whatever-it-takes attitude to deliver against important business goals that help the entire team win, • Pragmatic Best Practices: An overarching desire to build efficient, scalable, and maintainable code, while learning the tradeoffs between technical debt and delivery speed What we look for: We’re a great bunch but we have some "Euph" cultural non-negotiables. To do well here you will: • Thrive in fast-paced, feedback-rich environments, • Take your work seriously, but not yourself, • Be proactive, playful, and deeply curious, • Want to build something that matters, • Be willing to “do what it takes” What you’ll get: • Salary between £90k - £110k dependent on experience, • Remote-first setup with optional shared work space pass and hubs in London (We will only consider UK or Europe based candidates, with a preference for those closer to London), • Apple devices and the best AI tooling, • Private healthcare via Vitality, • 3% employer pension contribution (min 3% employee contribution), • Meaningful early-stage share opportunities, • 25 days holiday per year, plus bank holidays, • Career rocket fuel - real growth, real ownership, real impact

About Complexio Complexio is the intelligence layer for enterprise AI. Our platform builds a connected understanding of how businesses actually operate - across people, processes, and systems. Enterprises have invested heavily in AI platforms, copilots, and data infrastructure - yet daily work still runs on manual hand-offs and thousands of unseen tasks buried in emails, chats, and spreadsheets. Complexio closes that automation gap. Our Event Knowledge Graph ingests structured and unstructured data to create a living map of how an organisation truly works - every task, interaction, and dependency. Our Context Broker unifies this knowledge across enterprise systems in real time, enabling our Orchestration layer and Enterprise Automator to discover, design, and execute workflows autonomously. Stevie, our conversational AI assistant, gives teams a natural way to query and act on that intelligence. Complexio deploys securely within your infrastructure and integrates with the enterprise platforms you already run on - turning organisational knowledge into measurable business outcomes. A joint venture between Hafnia and Símbolo, backed by leading maritime partners including Marfin Management, C Transport Maritime, Trans Sea Transport, and BW Epic Kosan. Born in maritime, now scaling rapidly across industries. We are now onboarding enterprise customers globally, with a platform built to handle the pace and complexity of real business operations. Role Purpose Enterprise organisations do not buy software - they fund outcomes. The Value Engineer exists to make the connection between Complexio's platform capabilities and the specific, quantified business outcomes each customer cares about, at every stage of the relationship. Value engineering as a discipline has become a defining commercial capability at the world's leading enterprise software companies. ServiceNow built a global Value Engineering practice to justify platform ROI at scale. Celonis pioneered value engineering in the process mining space, making quantified process improvement the centrepiece of every enterprise deal. SAP's Value Advisors and Salesforce's Business Value Consultants have made the ability to prove financial return a standard expectation in enterprise software procurement. Complexio is building this capability now - at the stage where it will have the most impact on commercial outcomes. This role sits at the intersection of business consulting, commercial strategy, and deep operational understanding. You are not a sales support function. You are an independent, credible business advisor who earns the trust of customer CFOs, COOs, and operational leadership by doing rigorous work - identifying where value is being lost, modelling what recovery is worth, and demonstrating with evidence what Complexio has actually delivered. Key Responsibilities Value Discovery & Business Case Development • Lead structured value discovery engagements with prospective customers - working with operational, financial, and technology stakeholders to identify and quantify the cost of their current automation gap, • Map customer operational workflows to Complexio's platform capabilities, identifying the specific processes, hand-offs, and inefficiencies where the EKG, Context Broker, Enterprise Automator, and Stevie create measurable impact, • Translate business case outputs into executive-ready materials - CFO-grade financial models, board-level summaries, and ROI one-pagers that withstand scrutiny from finance and procurement stakeholders, • Validate assumptions with customers through structured interviews, data analysis, and process observation - never building a business case on hypotheticals that will be challenged at approval Pre-Sales Value Engagement • Partner with Sales, Client Directors, and Solutions Consultants in enterprise sales cycles - joining customer engagements specifically to lead the value and business case workstream, • Run executive value workshops with customer C-suite and operational leadership - structured sessions that move from pain identification through to quantified opportunity in a single engagement, • Produce deal-specific value narratives and ROI models that are calibrated to each customer's operational context, financial metrics, and internal approval process, • Equip the sales team with reusable value frameworks, benchmark data, and industry-specific ROI models that accelerate deal cycles across similar customer profiles, • Support commercial proposal development by providing the financial and business value content that underpins pricing, contract structure, and deal terms Post-Sale Value Realisation • Own the value realisation framework for Complexio's customer base - defining how value is tracked, measured, and reported from deployment through to steady-state operation, • Establish baseline metrics with customers at the point of deployment - agreeing the operational and financial KPIs against which Complexio's impact will be measured Value Benchmarking & Market Intelligence • Build and maintain Complexio's value benchmark library - a structured, continuously updated repository of outcome data across customers, sectors, use cases, and platform capabilities, • Develop sector-specific value models for Complexio's primary markets - maritime operations, energy trading, industrial workflow management - grounded in real customer data and validated against industry benchmarks, • Track and analyse how value accrues over time across the customer base - identifying which deployment patterns, use cases, and adoption sequences drive the fastest and largest outcomes, • Monitor competitive value positioning - understanding how Complexio's ROI profile compares to alternatives including Microsoft Copilot, Celonis, and incumbent manual processes Internal Value Enablement • Build and maintain a value engineering toolkit accessible to the broader commercial team - including value discovery frameworks, ROI calculators, benchmark data packs, and executive presentation templates, • Partner with Product and Engineering to ensure that Complexio's platform instrumentation supports value measurement - advocating for the telemetry, reporting, and analytics capabilities that make value realisation visible to customers, • Feed value data and customer outcome evidence back into Complexio's product prioritisation process - ensuring the roadmap is guided by where the platform creates the most demonstrable impact Executive & C-Suite Engagement • Engage directly with CFOs, COOs, and operational leadership as a credible, independent business advisor - not as a vendor representative, • Lead or co-lead executive value presentations and business case reviews at board and C-suite level - with the financial and operational rigour to withstand challenge from sophisticated buyers, • Shadow Co-CEOs and the CRO in strategic customer engagements as required - providing the value and ROI narrative in high-stakes commercial discussions, • Build long-term advisory relationships with senior customer stakeholders that extend beyond individual deals and create durable commercial anchors What We're Looking For Essential • 6+ years in a value engineering, value advisory, business value consulting, or management consulting role - ideally with direct experience in enterprise software, process automation, or AI/data platform contexts, • Demonstrable experience building and presenting rigorous business cases and ROI models to C-suite and finance stakeholders - models that have withstood scrutiny and influenced major investment decisions, • Strong financial modelling capability - comfortable building NPV, IRR, and payback analyses from first principles and translating operational data into financial outcomes, • Deep understanding of how large enterprises make investment decisions - approval processes, financial hurdle rates, competing priorities, and the politics of internal sponsorship Desirable Experience in the maritime, shipping, energy, or industrial sectors - operational familiarity with voyage management, fleet operations, chartering, trading, or supply chain workflows Experience with process mining, workflow analytics, or operational intelligence tools - and the ability to use data outputs to construct value narratives Familiarity with AI automation economics - understanding how to model labour displacement, error reduction, and decision acceleration in organisations adopting AI-driven workflows Experience building value benchmark databases and sector-specific ROI frameworks from scratch Who You Are Rigorous and credible - your business cases are built on real data, sound assumptions, and transparent methodology; you do not overstate value and you do not produce numbers that collapse under scrutiny A skilled interviewer and listener - you can run a discovery session with a COO or a fleet manager and extract the operational detail you need to build a credible model, without making them feel interrogated Commercially motivated - you understand that your work directly enables revenue and you take that seriously; you are not an academic analyst, you are a commercial contributor Independently minded - you are willing to tell a customer or a sales team that a use case does not meet the value threshold, because your credibility depends on honesty, not optimism • A strong writer and presenter - you produce executive materials that are clear, well-structured, and visually compelling; you do not hide weak analysis behind impressive slides, • Intellectually curious about how industries operate - you find genuine interest in understanding how a maritime shipping company makes money, where it loses it, and what operational changes move the needle, • A builder - Complexio does not yet have a mature value engineering function; you are excited by the opportunity to create the frameworks, tools, and benchmarks that will define how the company communicates value at scale

Senior Data Engineer Remote UK, £90,000 to £100,000 This is an opportunity to join a fast scaling, digital first consumer platform at a pivotal point in its data journey. They are investing heavily in their data infrastructure and are building a high performing, software led data engineering team to support real time, high volume analytics across the business. You will have genuine influence over how data engineering is done, working on modern tooling and best practice from day one. The Company They are a UK based, consumer facing digital platform operating in a highly regulated online environment. Since launching less than a decade ago, the business has grown rapidly, supported by significant recent funding and a strong focus on product, user experience and responsible engagement. Data is central to their growth strategy, and they are building a modern, scalable analytics platform to support this ambition. The team operates fully remotely across the UK and Europe. The Role • Design, build and own end to end data pipelines supporting real time and batch analytics, • Work on high volume, low latency data use cases with a strong focus on reliability and scalability, • Develop production grade data solutions using software engineering best practices such as CI/CD, testing and version control, • Contribute to the design of data models and analytics layers used across the business, • Help implement and mature staging, testing and deployment processes across the data platform, • Strong commercial experience as a data engineer in modern, cloud based environments, • Advanced Python and SQL, with experience using PySpark or similar distributed processing frameworks, • Experience building and maintaining data pipelines in AWS using services such as S3, Glue or EKS, • Hands on experience with modern analytics stacks such as Snowflake, dbt and Iceberg, • Familiarity with orchestration tools such as Dagster or Airflow, • Strong understanding of data modelling concepts and analytics best practice, • The chance to help shape a growing data platform and engineering culture, • Clear progression opportunities as the data team continues to expand If you are a Senior Data Engineer looking to make a real impact in a growing, product led business, apply now to learn more about the opportunity.

Purview Data Governance Consultant Our Data & AI team is made up of curious, client-focused professionals who help organisations build trusted, governed, high-quality data solutions. We’re looking for a Purview Data Governance Consultant with strong data governance and data management experience (including data quality and MDM) and hands-on technical skills from a data analyst or data engineer background, with an appreciation of broader cloud architecture and networking. If you’re passionate about helping organisations understand, trust, and govern their data—and you enjoy working at the intersection of governance, platforms, and delivery—we’d love to talk. Come join us As a member of Avanade’s Data & AI practice, you’ll work with clients to design, implement, and embed modern data governance capabilities across Microsoft Purview, cloud data platforms, and analytics ecosystems. You’ll play a hands-on role in helping organisations establish clear data ownership, classification, lineage, and policy enforcement — turning governance from theory into something that genuinely enables analytics and AI. This role is ideal for consultants who are both governance-minded and technically capable, able to work credibly with data engineers, platform teams, and business stakeholders alike. Together we do what matters. What you’ll do • Design and implement data governance solutions using Microsoft Purview Data Governance, including cataloguing, classification, lineage, and domain-based governance models, • Use governance to enable data value creation, discoverability, secure access, and responsible data use, • Work with clients to define data ownership, stewardship, policies, and operating models aligned to business and regulatory needs, • Configure and integrate Purview with Azure data platforms, Microsoft Fabric, Power BI, Databricks, other data sources, and MDM tools, ensuring governance is embedded within delivery pipelines, • Support the implementation and governance of Databricks Unity Catalog, aligning technical controls with organisational data governance objectives, • Analyse data platforms and pipelines to assess metadata coverage, lineage, data quality signals, and policy enforcement, • Collaborate closely with business and technical stakeholders to ensure governance and data quality are practical, usable, and automated wherever possible, • Translate governance concepts into clear, actionable guidance for both technical and non-technical stakeholders, • Help clients move from ad hoc or tool-led governance to sustainable, product-oriented, domain-aligned models, • Contribute to the development of Avanade accelerators, patterns, and thought leadership in data governance and trust Skills and experience • Proven experience as a Data Governance Consultant, Data Analyst, Data Engineer, or similar role within data or analytics programmes, • Hands-on experience with Microsoft Purview Data Governance, including cataloguing, classification, lineage, and policy concepts, • Experience working with or implementing Databricks Unity Catalog, • Strong understanding of modern data platforms and architectures, ideally within Microsoft and Databricks ecosystems, • Practical technical skills in SQL, Python, and data engineering / analytics tooling, enabling effective collaboration with delivery teams, • Experience in a consulting or client-facing environment, engaging stakeholders with differing priorities, • Ability to explain governance concepts clearly and pragmatically, focusing on enablement rather than control, • Experience with technologies such as Azure, Databricks, Microsoft Fabric, Power BI, and data integration tools is advantageous About you Characteristics that set you up for success in this role include: • Pragmatic and outcome-focused, with a desire to make data governance genuinely useful, • Comfortable working across governance, data engineering, and analytics communities, • Curious about how organisations use (and misuse) data, and how better governance can unlock value, • Confident working in uncertain or evolving data landscapes, • Collaborative, supportive, and able to influence without authority, • Keen to learn and stay current with emerging approaches to data trust, governance, and AI readiness Enjoy your career Some of the best things about working at Avanade: • Opportunity to work for Microsoft’s Global Alliance Partner of the Year (20 times), • A minimum of 80 hours per year dedicated to learning, certifications, and professional development, • Access to global Data & AI communities, accelerators, and subject-matter experts, • The chance to work on complex, high-impact initiatives across data governance, analytics, and AI, • Clear and supported career progression across Consultant and Senior Consultant levels Find out more about some of our benefits ___. A great place to work As you bring your skills and abilities to Avanade, you’ll get distinctive experiences, limitless learning, and ambitious growth in return. As we continue to build our diverse and inclusive culture, we become even more innovative and creative, helping us better serve our clients and our communities. You’ll join a community of smart, supportive collaborators to lift, mentor, and guide you, and lean on your expertise. You get a company purpose-built for business-critical, leading-edge technology solutions, committed to improving the way humans work, interact, and live. It’s all here, so take a closer look! We work hard to provide an inclusive, diverse culture with a deep sense of belonging for all our employees. Visit our ___ page

Senior Data Engineer (Contract) Location: London (2 days onsite per week) Day Rate: £500-550 Per day (Outside IR35) Duration: 6-month contract Start: ASAP Contact: Overview We are looking for a Senior Data Engineer to join a high-performing team delivering advanced data platforms that support financial institutions in tackling fraud and financial crime. In this role, you will help design and evolve a modern Databricks + AWS lakehouse architecture, enabling analytics, machine learning, and investigative teams to generate actionable insights from large-scale datasets. This is a hands-on leadership position focused on building robust, scalable, and governed data solutions using modern cloud technologies. The Role • Own the end-to-end design, build, optimisation, and support of scalable Spark / PySpark data pipelines (batch and streaming), • Define and implement lakehouse architecture standards (medallion model: bronze, silver, gold), including governance, lineage, and data quality controls, • Design and manage secure data ingestion frameworks (e.g. Apache NiFi, APIs, SFTP/FTPS) for internal and external data sources, • Architect and maintain secure AWS-based data infrastructure (S3, IAM, KMS, Glue, Lake Formation, Lambda, Step Functions, CloudWatch, etc.), • Implement orchestration using tools such as Airflow, Databricks Workflows, and Step Functions, • Champion data quality, observability, and reliability (SLAs, monitoring, alerting, reconciliation), • Drive CI/CD best practices for data platforms (infrastructure as code, automated testing, versioning, environment promotion), • Mentor engineers on distributed data processing, performance optimisation, and cost efficiency, • Collaborate with data science, product, and compliance teams to translate requirements into scalable data solutions Required Skills & Experience • Strong experience as a Senior or Lead Data Engineer with ownership of end-to-end data solutions, • Expertise in Databricks, PySpark / Spark, SQL, and Python, • Proven experience building and optimising large-scale data pipelines in production environments, • Strong knowledge of cloud data architectures, particularly within AWS, • Experience designing scalable data models and reusable frameworks, • Hands-on experience with orchestration tools such as Airflow or similar, • Solid understanding of data governance, lineage, and compliance requirements, • Experience with CI/CD pipelines and infrastructure as code (e.g. Terraform, CloudFormation), • Strong communication skills with the ability to collaborate across technical and non-technical teams What We’re Looking For • A hands-on technical leader who can design, build, and deliver solutions independently, • Someone comfortable working with high-volume, high-throughput data systems, • Strong problem-solving skills and a pragmatic, delivery-focused mindset, • Experience mentoring engineers and setting engineering standards and best practices, • Ability to balance technical excellence with delivery timelines

Haut.AI is a pioneering BeautyTech startup at the forefront of personalized skincare solutions. We combine scientific research with artificial intelligence to deliver innovative solutions that actually work. Backed by leading European VCs and founded by AI scientists, we are positioned at the intersection of two explosive growth markets: AI and beauty tech. We are looking for a Mid-Level Computer Vision/Deep Learning Engineer to join our team. In this role, you won't just be researching models in a vacuum, but own the end-to-end ML lifecycle from prototyping computer vision algorithms to pushing production-ready deep learning models that directly impact our clients and their customers. What You’ll Do: • Build & Innovate: Design, train, and deploy advanced CV/DL models for skin image analysis, tackling challenges in image classification, segmentation, regression, and generation., • Own the Pipeline: Architect and maintain robust, comprehensive training pipelines covering data preprocessing, augmentation, training loops, and validation., • Ship to Production: Optimize and format ML models (using ONNX/TF-lite) for smooth, scalable deployment., • Monitor & Iterate: Track the performance of deployed models in the wild, ensuring high reliability and addressing data drift., • Collaborate & Prototype: Build Proofs-of-Concept (PoCs) and demo applications to translate research into tangible business value, while communicating technical insights to the broader team. What You Bring: • Experience: 3+ years of industry experience shipping ML/DL models to production, with a Bachelor’s degree in Computer Science, Math, Physics, or equivalent background., • Software Engineering: Strong proficiency in Python, enabling you to write clean, production-ready code. You are comfortable with OOP, Git workflows, and containerization using Docker., • ML & Deep Learning: expertise with deep learning frameworks (PyTorch, TensorFlow) and a solid grasp of CNN, transformer and hybrid architectures., • Computer Vision Foundations: Strong working knowledge of standard CV libraries (OpenCV, scikit-image, PIL) and classical CV algorithms (edge detection, thresholding, color spaces)., • Data Analytics Fluency: Experience working with standard data manipulation libraries (NumPy, pandas, scikit-learn, SciPy)., • Communication: Advanced English proficiency to collaborate effectively in a global environment. Bonus Points (Nice to Have) • Hands-on experience with Vision Transformers (ViTs)., • Familiarity with deploying and scaling models on cloud infrastructure (Azure, AWS, or GCP)., • Data visualization skills using tools like Plotly or Gradio. Your Tech Stack: Python, PyTorch, ONNX, OpenCV, Microsoft AzureML, GCP Vertex AI and PostgreSQL. We also heavily utilize modern workflow and productivity tools including Jira, Notion, Slack, GitHub, GitHub Copilot, Codex, Gemini, and OpenAI. Why Haut.AI? • Competitive compensation based on experience and skills., • Fully remote position with flexibility across UK and EU time zones., • Paid PTO., • Be part of a pioneering company revolutionizing the BeautyTech space., • Opportunity to collaborate with a talented, forward-thinking team while making a real difference in the industry., • Make a tangible impact on product development and company growth., • Opportunity to grow your skills and expertise at the intersection of science and beauty. To Apply: Please submit your CV in English for applying. We look forward to hearing from you!

About Quantiphi: • Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI—driving measurable outcomes at the very core of their operations., • Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value—not just technology for technology’s sake., • Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact. We have been recognized with: • 3x AWS AI/ML award wins., • 3x NVIDIA Partner of the Year titles., • Recognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firms., • We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators., • We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit: ___ or ___. Role: Cloud Data Architect (AWS) Experience Level: 8+ years Employment type: Full Time Location: Remote (UK) Description: • We are seeking a highly skilled AWS Data Migration & Data Engineering Consultant to lead end-to-end data migration initiatives across on-prem, cloud, and multi-cloud environments into AWS., • This role focuses on defining and executing data migration strategies, including assessment, wave planning, migration execution, and post-migration stabilization, while ensuring data integrity, minimal downtime, and alignment with business SLAs., • The ideal candidate brings strong experience in cross-platform database migrations (Oracle, SQL Server, MySQL, or cloud-native systems) combined with deep expertise in AWS data engineering services and modern data pipeline development. Key Responsibilities: • Lead end to end database migrations to AWS from diverse sources, including on-premises systems (e.g., Oracle, SQL Server, MySQL) and other cloud platforms (e.g., GCP, Azure)., • Lead end-to-end data migration strategy and execution, including assessment, dependency mapping, and wave planning., • Design and implement migration frameworks using AWS DMS, SCT, Glue, and Redshift., • Define and execute data validation, reconciliation, and cutover strategies ensuring zero/low data loss., • Enable CDC-based replication and minimal downtime migrations across heterogeneous systems., • Design and optimize ETL/data pipelines using AWS Glue, PySpark, or EMR., • Architect and implement scalable, secure, and highly available data platforms on AWS., • Drive schema conversion and modernization strategies (heterogeneous migrations where applicable)., • Optimize performance of source and target systems pre- and post-migration., • Manage and govern S3-based data lakes and metadata using Glue Data Catalog., • Collaborate with application, infrastructure, and analytics teams for seamless migration and stabilization., • Implement monitoring, rollback, and failure recovery mechanisms., • Ensure adherence to security, governance, and compliance standards. Skills: • 8+ years of experience in database migration and data engineering., • Proven experience in cross-platform data migrations (on-prem to cloud or cloud to cloud)., • Experience designing and implementing data validation and reconciliation frameworks., • Strong experience in ETL/data pipeline development (Glue, PySpark, EMR, or equivalent)., • Deep proficiency in SQL and data modeling concepts., • Experience working with S3-based data lakes and Glue Data Catalog., • Strong understanding of CDC, transaction consistency, and migration cutover strategies., • Hands-on experience with performance tuning, schema design, and query optimization., • Proficiency in Python/PySpark and scripting (Shell/Python)., • Experience with Oracle, SQL Server, MySQL, PostgreSQL, or cloud-native databases., • Strong hands-on expertise with:, • AWS DMS (Database Migration Service)., • AWS SCT (Schema Conversion Tool)., • AWS Glue (ETL & data integration)., • Amazon Redshift (data warehousing). Nice to Have: • Exposure to real-time replication tools (e.g., GoldenGate or equivalent)., • Database Administration (DBA) expertise, including backup & recovery strategies, HA/DR design, database patching and upgrades, lifecycle management, capacity planning, performance monitoring, and security hardening., • Experience with Lake Formation and data governance frameworks., • Familiarity with Data Mesh and cross-account data sharing architectures., • Experience with CI/CD for data pipelines (CodePipeline, Jenkins, etc.)., • Knowledge of Infrastructure as Code (Terraform / CloudFormation)., • AWS Certifications (Solutions Architect / Data Engineer)., • Experience in mentoring teams and leading large-scale migration programs. What is in it for you: • Make an impact at one of the world’s fastest-growing AI-first digital engineering companies., • Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues., • Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines., • Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

SMART BUILDINGS BMS ENGINEER (INTEGRATION / IoT FOCUS) £40,000–£80,000 + expenses | Remote Are you a BMS Engineer who enjoys working at the intersection of building systems, data, and modern technology? Do you want to go beyond traditional controls work and play a key role in connecting buildings to the cloud, enabling smarter, more efficient energy performance? This a fast-growing energy-tech business looking for a Smart Buildings BMS Engineer with strong integration and IT awareness to deliver end-to-end projects across commercial buildings. THE ROLE • Carry out site surveys, scope upgrades, and plan smart building integrations, • Install and configure BMS hardware: controllers, sensors, field devices, and panels, • Integrate HVAC, metering, and building systems using BACnet, Modbus, KNX, MQTT, • Connect building systems to cloud platforms via APIs, gateways, and IP networks, • Commission systems including Niagara 4, Trend IQVision, Siemens PX, Distech, • Troubleshoot data flow, connectivity, and system performance issues, • Structure and validate building data to support analytics and optimisation, • Work independently across multiple sites, delivering high-quality technical outcomes WHY JOIN? • Work at the forefront of smart buildings, IoT, and energy optimisation, • Combine hands-on engineering with modern data and integration work, • End-to-end ownership — from survey through to live system performance, • Exposure to cloud platforms, APIs, and advanced building analytics, • Join a high-growth, forward-thinking team shaping the future of building tech, • Clear progression into technical lead / integration specialist roles THE PROFILE • Strong BMS background (installation, commissioning, or integration), • Experience with Tridium Niagara, Trend, Siemens, Distech or similar, • Solid understanding of building protocols (BACnet, Modbus, KNX), • Comfortable working with IP networks, gateways, and system connectivity, • Exposure to MQTT, APIs, JSON, or cloud platforms (AWS or similar) highly desirable, • Electrical background beneficial (NVQ Level 3 / 18th Edition preferred, not essential), • Proactive, organised, and comfortable working independently in a fast-moving environment, • Willing to travel across the UK as required PACKAGE £40,000–£80,000 DOE Remote with UK-wide travel | Full-time or contract Immediate / flexible start Expenses covered

We are only accepting applications through the LinkedIn Easy Apply process, please do not send any direct emails or messages, they will be ignored! Technical Lead / Platform Engineer — Stoc (Contract → Full-time) Stoc is a product intelligence platform for retail. We use computer vision and AI to monitor coolers and shelves in real time — planogram compliance, stockout detection, and demand intelligence at scale. We've just built a new AI analytics platform and are preparing to take it to market. Now we need someone to own it technically. What you'll be doing • Managing and improving a modern full-stack web platform, • Handling bug fixes, performance improvements, and feature builds, • Introducing enterprise-grade practices: security hardening, automated backups, Git workflows, environment management, • Leading infrastructure migration to a production-grade hosting environment, • Being the technical point of contact for infrastructure and vendor integrations What we're looking for • 2–4 years building and shipping real products, • Strong full-stack web development fundamentals, • Comfortable using AI coding tools (Cursor, Claude Code, or similar) — this is a must, not a nice-to-have, • Has managed a production app, not just built one, • Self-directed — you won't have a team to lean on yet, • Hungry to grow into a lead engineering role as we scale The setup Contract to start, with a clear path to full-time as we build out our engineering org. Remote-friendly. Small, fast-moving team — real ownership from day one. If this sounds like you, send a short note about something you've built and managed in production. We are only accepting applications through the LinkedIn Easy Apply process, please do not send any direct emails or messages, they will be ignored!

Analytics Engineer - 12 month fixed term contract UK Remote £67,000 plus benefits This Analytics Engineer role stands out as a chance to play a key part in a large scale Lakehouse programme, sitting at the intersection of engineering, analytics and the wider business. You will take real ownership of curated data models, shape how data is structured and served across the organisation, and influence best practice as the analytics engineering capability continues to grow. The Company They are a large, well established UK organisation with a strong reputation for combining technical excellence with a people first culture. Data and analytics are a strategic priority, with ongoing investment into a modern cloud based data platform. Engineering teams are expanding as part of a broader transformation, creating genuine opportunities to have impact and influence. The Role You will join a growing analytics engineering team and play a critical role in the Lakehouse environment. Your responsibilities will include: • Leading the design and delivery of curated, analytics ready data models within the Lakehouse, • Owning the transformation from enriched to curated datasets, enabling trusted reporting and insight, • Developing and maintaining robust SQL and PySpark transformation pipelines in Databricks, • Embedding data quality, testing, reliability and performance into the curated layer, • Working closely with data engineers, BI teams and business stakeholders to translate complex requirements, • Providing technical leadership, mentoring and setting modelling and engineering standards, • Strong commercial experience as an Analytics Engineer within a modern data platform, • Excellent data modelling capability, including dimensional and semantic modelling, • Advanced SQL skills and strong hands on experience with PySpark, • Experience working with Databricks and Lakehouse architectures, • A solid grounding in engineering best practices, testing and data quality, • Confidence mentoring others and taking ownership of technical decisions, • Flexible by choice working, supporting different schedules and work life balance, • A 35 hour working week within a supportive, inclusive engineering culture If you are an Analytics Engineer looking to make an impact in a growing Lakehouse environment, apply now to find out more.

Senior Analytics Engineer - 12 month fixed term contract UK Remote £78,000 plus benefits This Senior Analytics Engineer role stands out as a chance to play a key part in a large scale Lakehouse programme, sitting at the intersection of engineering, analytics and the wider business. You will take real ownership of curated data models, shape how data is structured and served across the organisation, and influence best practice as the analytics engineering capability continues to grow. The Company They are a large, well established UK organisation with a strong reputation for combining technical excellence with a people first culture. Data and analytics are a strategic priority, with ongoing investment into a modern cloud based data platform. Engineering teams are expanding as part of a broader transformation, creating genuine opportunities to have impact and influence. The Role You will join a growing analytics engineering team and play a critical role in the Lakehouse environment. Your responsibilities will include: • Leading the design and delivery of curated, analytics ready data models within the Lakehouse, • Owning the transformation from enriched to curated datasets, enabling trusted reporting and insight, • Developing and maintaining robust SQL and PySpark transformation pipelines in Databricks, • Embedding data quality, testing, reliability and performance into the curated layer, • Working closely with data engineers, BI teams and business stakeholders to translate complex requirements, • Providing technical leadership, mentoring and setting modelling and engineering standards, • Strong commercial experience as an Analytics Engineer within a modern data platform, • Excellent data modelling capability, including dimensional and semantic modelling, • Advanced SQL skills and strong hands on experience with PySpark, • Experience working with Databricks and Lakehouse architectures, • A solid grounding in engineering best practices, testing and data quality, • Confidence mentoring others and taking ownership of technical decisions, • Flexible by choice working, supporting different schedules and work life balance, • A 35 hour working week within a supportive, inclusive engineering culture If you are a Senior Analytics Engineer looking to make an impact in a growing Lakehouse environment, apply now to find out more.

Job title: Electronic Design Engineer Location: Reading/Glasgow sites available within hybrid working arrangements. Mission Akkodis, is a global leader in the engineering and R&D market that is leveraging the power of connected data to accelerate innovation and digital transformation. With a shared passion for technology and talent, 50,000 engineers and digital experts deliver deep cross-sector expertise in 30 countries across North America, EMEA and APAC. Akkodis offers broad industry experience, and strong know-how in key technology sectors such as mobility, software & technology services, robotics, testing, simulations, data security, AI & data analytics. The combined IT and engineering expertise brings a unique end-to-end solution offering, with four service lines – Consulting, Solutions, Talents and Academy – to support clients in rethinking their product development and business processes, improve productivity, minimize time to market and shape a smarter and more sustainable tomorrow. Akkodis is part of the Adecco Group and is a commercial brand under which both AKKA and Modis entities operate. Scope The Electronic Engineer develops integrated hardware solutions, both utilising COTS components and designing bespoke systems, through design, development, verification, and validation. In this role you will produce electrical interconnect designs, cable schedules, ICDs, wiring schedules, LV distributions, earth & bonding strategies, assess the impact of EMI / EMC, RoHS, REACH and LV Directive on the electrical designs, etc. Responsibilities • Satisfy the HW requirement set through design, development, and test activities., • Implement the hardware architecture in physical and electrical form, fit and function., • Support Manufacturing and Procurement during the build phase, i.e. respond to Problem Reports and implement Engineering Change Requests., • Define the Design Proving / Hardware Test Specifications and use these during qualification., • Define the EMC and Environmental Test Specifications and use these during qualification., • Design and develop any special test equipment to facilitate the above. Skills • General Electronic and Electrical Engineering (degree level)., • COTS AC and DC LV power supplies., • Designing with PCI, RS485/232, Hotlink and Ethernet interfaces., • Designing cables and harness assemblies, utilising military style connectors and backshells, such as MIL-DTL-38999., • An understanding of cable screening methods and military style cable construction methodologies., • Designing to meet EMC and environmental standards / requirements. Experience • Strong relevant experience of the Skills listed above or associated experience that can be applied to electronic, electrical and electro-mechanical design in a regulated industry., • Design and specification of COTS and bespoke sub-assemblies and equipment suitable for 19” racks / cabinets., • Interconnection Design (i.e. wiring harnesses, copper or fibre optical network interconnections, connector types, power distribution and data comms, spatial constraints, environmental considerations)., • Full engineering lifecycle experience (Capture, Design, Implementation, Test)., • Working with requirements in a structured and evidential manner., • Production of Design / Test Specifications and Test Reports.

This leading fan-to-fan ticket exchange platform is looking for a Site Reliability Engineer (SRE) to join their Engineering Department where you will make sure their platform is reliable, performant, and resilient. Google Analytics, Hotjar, or specialized APM tools) to inform reliability decisions.

Senior Engineer Department Tech Employment Type Full-time, London Office Attendance Expectation Hybrid About the role At &Dine, we’re on a mission to change the way teams experience food at work. We connect exceptional independent makers with companies that want better lunches, better events, and a better workplace culture built around food. As a Senior Software Engineer, you’ll play a key role in that journey. You won’t just be maintaining systems - you’ll help build and launch the products that power the platform, from ordering and logistics to payments and internal tools. Your work will directly shape how our customers order, how our makers operate, and how the business grows. You’ll work across front-end, back-end, and infrastructure, partnering closely with product, operations, and design to deliver reliable, thoughtful solutions. We’re a small, ambitious team that cares deeply about what we’re building, working together to grow &Dine as the challenger in the market. What you’ll do • Lead development across key product areas from concept to production, • Build front-end features using modern JS frameworks (Vue/Nuxt, React, or similar), • Design and maintain scalable Node.js APIs and services with SQL databases, • Mentor junior engineers through reviews and technical guidance, • Collaborate with product and operations to deliver practical solutions, • Improve system performance, reliability, and developer workflows Front-end • JavaScript / TypeScript, • Vue / Nuxt or similar, • REST API integration, • Solid CSS / SCSS / SASS, • State management and component-based development, • Unit/end-to-end Testing and Git workflows, • Experience with Analytics tools like Mixpanel Back-end • Node.js services and REST APIs, • PostgreSQL / MySQL and database design, • ORMs such as Sequelize, • Business logic, including payments, workflows, and permissions Infrastructure • CI/CD pipelines (GitHub Actions or similar), • Cloud platforms such as AWS, • Monitoring, logging, and production reliability, • AWS Amplify or similar Benefits • Share options, • £250 learning budget, • £500 referral bonus, • Birthday day off, • Team socials, • Work abroad for one week each year

AI Engineer - Forward Deployed Apply fast, check the full description by scrolling below to find out the full requirements for this role. London - hybrid (2-3 days in office) £115-175k plus performance bonus A leading growth equity firm investing in enterprise technology businesses across the UK and Europe is hiring an elite Forward Deployed AI Engineer - an influential, hands-on individual contributor who will play a foundational role in shaping how AI is used across the investment lifecycle. Were interested in talking to a high achieving, high energy, fast tracker with around 3-5 years in a top tier environment, post-University. An AI native with an engineering background and mindset. Importantly, you will have worked in high-context environments where engineers work directly with end users to deliver real-world AI systems - define the technical stack, set the roadmap, and own the end-to-end delivery of internal AI systems. As the sole AI Engineer, you will have responsibility for E2E delivery (yes, including all development + implementation), and the chance to build from a blank slate, shaping the firms AI capability, including sourcing, research, diligence, and workflows. This is a highly autonomous role with significant responsibility and the freedom to experiment, iterate, and drive impact quickly. Youll move fluidly between rapid prototyping and production rigor, applying technical creativity to commercial decision-making. More on the role: • Build internal AI-powered tools, systems and agents to streamline sourcing, research, diligence, and portfolio monitoring, • Design and deploy end-to-end LLM applications including research copilots, RAG systems, workflow automation, data enrichment, and deal intelligence tooling, • Ingest, clean, and analyse external datasets through scripts, pipelines, and lightweight ML components, • Integrate third-party APIs, datasets, scraping frameworks, and internal systems such as CRM and deal flow platforms, • Rapidly prototype MVPs, validate value with the investment team, and harden the most impactful tools into reliable internal products, • Build simple internal interfaces using FastAPI, Streamlit, or Next.js to enable intuitive adoption, • Implement evaluation, observability, and governance to ensure accuracy, reliability, security, and responsible use of AI systems, • circa 3-5 years in software engineering, applied AI engineering, ML engineering, or forward deployed roles, • Strong Python, • Experience building and deploying LLM applications (OpenAI, Anthropic, Gemini, etc.), • Deep familiarity with RAG methodologies, embeddings, and vector databases (Pinecone, Weaviate, pgvector), • Robust API integration experience, including working with third-party datasets, web APIs, or scrapers, • A product mindset, enjoys crafting scrappy prototypes that evolve into polished tools, • Strong communication skills and the ability to collaborate directly with non-technical business users It is envisaged that over time the role could evolve to include an element of trusted advisor / thought partner (i.e. for portfolio company / prospective investee company CEOs etc). xrnqpay Given the elite calibre and potential of the person were after, there is a clear leadership path within the organisation.

Contract, Hybrid (3 days a week onsite).We are seeking a Data Engineer to our client's ambitious technology transformation.This role is crucial in implementing the end-to-end delivery of data strategies, working closely with Data Analytics and Data Science teams to ensure best practices and standard

Senior ML Engineer £65000 GBP Hybrid WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Machine Learning Engineer Gloucester | Up to £60,000 + 10% Bonus + £7,000 DV Allowance A leading organisation operating within cyber, defence, and national security is seeking a Machine Learning Engineer to join a growing advanced analytics and AI capability. This is a hands-on engineering role building and deploying ML solutions in highly secure, data-rich environments , where work directly contributes to national-level outcomes. Why this role? This is an opportunity to work on real-world, high-impact machine learning systems where security, scale, and performance are critical. You'll be: • Building and deploying machine learning models into production environments, • Working with large, complex datasets in secure infrastructures, • Supporting the development of AI-driven capabilities for mission-critical systems, • Collaborating with engineers, data scientists, and security specialists, • Contributing to the full ML lifecycle from data prep to deployment What you'll be doing, • Develop and implement machine learning models and pipelines, • Work with structured and unstructured data at scale, • Deploy models into secure production environments, • Support...

We have an exciting opportunity for a highly skilled Senior Data Engineer to join our Data team. As a leading UK life and pensions mutual insurer with a proud history dating back to 1843, we exist to help people live financially confident lives – protecting their income while they work and maximising it when they stop. Today, over one million members and customers trust us to look after their futures, families and finances. Joining us means becoming part of a team that puts our members, customers and advisers at the heart of everything we do. We’re committed to creating an inclusive culture where colleagues can thrive. We are proud to have built a workplace where our colleagues feel welcomed, respected, supported and valued – reflected in our recognition as one of the Financial Times UK’s Best Employers in 2025 and 2026. We celebrate individuality and believe our differences make us stronger, so bring your true self and help shape the future of LV=. You will play a critical role in shaping and implementing enterprise-scale data platforms that support advanced analytics, reporting, and data governance. This role is offered on a permanent basis with a requirement for regular presence in our Bournemouth office. Key Responsibilities -Utilise cloud technologies and programming languages to develop and maintain centralised data platforms that support the business’s operational and strategic needs. -Collaborate with stakeholders to translate data requirements into actionable requests or build solutions. -Collaborate with the project manager to coordinate the prioritisation of data requests to meet business needs in the most appropriate and controlled manner. -Lead the development and improvement of technical data standards and ensure the development of data products are compliant. -Act as the Data Workstream Lead for change portfolios to provide technical knowledge and design steer to ensure that the proposed solutions fit within our data strategy and design standards. -Manage and review the work of assigned engineers and offshore partners, mentoring and sharing best practices. -Ensure all data processes and reports are accurately and appropriately documented and that all data governance and quality processes are followed and continuously improved. About You -Strong working knowledge of data warehousing, ETL/ELT processes and programming languages (SQL, Python, PySpark ). -Experience on Cloud based BI/MI methodology, such as use of Azure, DataBricks , Azure Data Factory and Fabric. -Proven experience of taking a development lead on work streams within a data centric or technical project. -Demonstrated ability to apply tools and processes for data security, quality, and accuracy, while implementing best-practice data management, governance, and quality standards -Exceptional communication skills with the ability to translate technical data to a non-technical audience -Ability to work accurately under pressure in fast-paced environments and prioritise tasks to stay responsive to business needs -Experience of proactively building and maintaining relationships both externally and internally Desirable -Previous experience of working in the insurance/financial services sector Rewards & Benefits This role is a Band C in the LV= Structure. At LV= Life and Pensions, you’ll go above and beyond to do the right thing for our customers. We’ll reward your hard work with an attractive, competitive salary and benefits package, which includes: -30 days' holiday. -The opportunity to buy or sell up to five days of holiday. -An annual bonus scheme based on company and personal performance. -Single-cover private medical insurance (with the option for you to upgrade to family cover). -Flexible benefits, including a cycle to work scheme, personal accident insurance, critical illness cover and dental insurance. -Competitive pension scheme - LV= Life and Pensions will double-match the amount you pay, up to 14% (subject to National Minimum Wage requirements). -Group Life Assurance of four times your basic pay to your dependents (you’ll have the option to increase this to 8 x cover). -Group Income Protection, if you enrol into the pension scheme and reach 5 years of service. -Employee Assistance Programme (EAP) service for support when you need it. -Virtual GP service. -Shared parental leave. -Up to 20% discount on our life products for you and your immediate family. Please note all salary sacrifice benefits are subject to National Minimum Wage requirements i.e. you are unable to select any benefits that would reduce your base pay below the minimum wage threshold. Please note that we are unable to offer Skilled Worker Visa Sponsorship for this role. Therefore, you must ensure that you are eligible to work in the UK without our sponsorship for your application to be considered. We’re proud of our inclusive culture at LV= and, as an equal-opportunity employer, we continually work to remove unconscious bias from our recruitment process. We value our colleagues for what they bring to our team regardless of any protected status or characteristics they may have. Talk to us about flexible working as part of your application; if it’s right for you, our members and customers, and our business, then we’ll do everything we can to make it happen.

We are seeking a highly skilled Data Engineer Senior Consultant with hands-on experience designing building and optimizing data solutions that enable advanced analytics and AI-driven business transformation. Data preparation feature engineering and MLOps activities to collaborate with AI engineers d

This role not only delivers trusted data models but also sets standards drives best practices and shapes the direction of analytics engineering. Act as a technical leader and mentor for analytics engineers analysts and data scientists. Define governed approaches to metrics and self-serve analytics.

We are looking for a dedicated Analytics Engineer to join the AI Group to help us with that. Design build and manage scalable data pipelines and ETL processes to support a robust analytics-ready data platform. Partner with ai analysts ml scientists engineers and business teams to understand data nee

Cybersecurity Science & Analytics (CSA) is a team of cybersecurity scientists data and analytics professionals and engineers. Our mission is to harness data analytics AI/ML and cybersecurity science to innovate and advance HSBCs cybersecurity capabilities. Were looking for a Principal Engineer r

Data & Analytics Lead Site Reliability Engineer (SRE).Location: London or Glasgow Hybrid.Duration 6-9 months initially.Competitive Day Rate (Inside IR35).We are seeking a seasoned Lead Site Reliability Engineer (SRE) to champion reliability improve application stability and eliminate technical

The Senior Analytics Engineer is a key member of the Data & Analytics team responsible for designing and implementing scalable data solutions that enable efficient analytics and reporting across the organisation. The Analytics Engineer will work closely with data analysts engineers and business

What Youll Be Doing as a Data Engineer:. Stay ahead of industry trends continuously enhancing your skills with the latest data engineering tools and methodologies. Software engineering background with SOLID principles understanding.

Adobe Analytics,Data Analytics,SQL,Attribution Modeling,Power BI,R,Regression Analysis,Data Visualization,Tableau,Data Mining,SAS,Analytics.

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 Jacks network.Fast-growing health and wellness e-commerce platform.As a senior leader you will architect and oversee scalable high-quality data pipelines to accelerate

Our Borrowing Analytics Engineering Team:. Were looking for a Lead Analytics Engineer within our borrowing team to help build world class service for the bank of the future. You are excited about enabling other data scientists analytics engineers and credit analysts by sharing your expertise on data

Adobe Analytics,Data Analytics,SQL,Attribution Modeling,Power BI,R,Regression Analysis,Data Visualization,Tableau,Data Mining,SAS,Analytics. Promote the benefits of analytics engineering practices among the wider Insight Team. Continuously look for ways to improve how we do Analytics Engineering at

We are seeking a highly skilled Data Engineer Senior Consultant with hands-on experience designing building and optimizing data solutions that enable advanced analytics and AI-driven business transformation. Understanding of AI/ML concepts and collaboration with AI teams. This role requires expertis

Do you enjoy transforming data into actionable insights and taking data-driven approach to solving complex business problems Amazon Groceries is looking for a pro-active Business Intelligence Engineer with strong technical and analytical skills. Within International Amazon Groceries AIS (Analytics I

AI Engineer Trading Analytics & Data Platforms.London (Hybrid 3 days/week onsite).Month Contract Role (Inside IR35 Competitive Day Rate.We are seeking an experienced AI Engineer with a strong data engineering foundation and a passion for solving real-world trading problems.You will work direc

Lead and manage a team of 4-6 Analytics Engineers overseeing hiring performance reviews and career development. Analytics Engineering at Capital On Tap. The Analytics Engineering teams mission is to provide the organisation with seamless access to high-quality observable and well-documented data.

Methods Analytics (MA) is recruiting for aData Engineerto join our team a permanent basis. Collaborate with stakeholders to translate business requirements into technical specifications. Contribute to the development of the Methods AnalyticsEngineering Practice byparticipatingin our internal communi

As a Senior Advanced Analytics Engineer youll work closely with technical teams to deliver cutting-edge data solutions. As we continue to grow were looking for a highly skilled and motivated Senior Advanced Analytics Engineer to join our technical team. Develop and implement advanced analytics solut

Adobe Analytics,Data Analytics,SQL,Attribution Modeling,Power BI,R,Regression Analysis,Data Visualization,Tableau,Data Mining,SAS,Analytics. Software Engineering Computer Science or a related field.

As a Data Engineer III in our agile team you will design and deliver reliable data collection storage access and analytics solutions that are secure stable and scalable. Are you ready to shape the future of data engineering at JPMorgan Chase Join a dynamic team where your unique skills will help bui

We also offer our members the opportunity to subscribe to add-on channels which they can cancel at anytime and to rent or buy new release movies and TV box sets on the Prime Video Store. Prime Video is a fast-paced growth business - available in over 240 countries and territories worldwide. The Prim

Adobe Analytics,Data Analytics,SQL,Attribution Modeling,Power BI,R,Regression Analysis,Data Visualization,Tableau,Data Mining,SAS,Analytics. Exposure to product analytics tools (). Partner with business and science teams to enable great analytics.

Analytics & Data Quality Engineer T-SQL, Data Analytics, ETL/ELT, Data Quality, Microsoft Fabric, Power BI, Python, Remote, UK (1-Year FTC) £50,000 - £65,000 + Benefits This is an excellent Analytics & Data Quality Engineer opportunity to join a growing, data-driven organisation, on a 1-year FTC, supporting the development of a modern data platform built on Microsoft Fabric, while driving improvements in data quality, integrity, and reliability across multiple source systems. The Analytics & Data Quality Engineer is a remote working role, with occasional travel to London for team meetings. Initially a 1-year FTC, with potential to transfer to permanent. . Key Skills as Analytics & Data Quality Engineer: • Strong experience with T-SQL and complex data querying., • Proven background building ETL/ELT pipelines and data integrations., • Experience working with Microsoft Fabric or similar modern data platforms., • Some working knowledge of Python for data processing and validation., • Experience with Power BI or comparable reporting tools., • Strong focus on data quality, validation, and data integrity. Key Skills: T-SQL, Data Analytics, ETL/ELT, Data Quality, Microsoft Fabric, Power BI, Python, UK (Remote Occasional Travel) This is a 1-year FTC opportunity. You must have proven experience with T-SQL, ETL/ELT pipelines, and a strong focus on data quality and validation is essential. You must be willing for some occasional travel to London, as required. xrnqpay Please double check you have the right level of experience and qualifications by reading the full overview of this opportunity below. Remote working/work at home options are available for this role.

Job Title: Full Stack Data Engineer / Consulting Engineer (Forward Deployed). We are seeking a Full Stack Data Engineer to join a high-impact consulting environment delivering data, analytics, and AI solutions across complex public and private sector organisations.

The Data Engineer is responsible for designing, building, and maintaining robust, scalable data pipelines and cloud-based data infrastructure to support analytics, reporting, data modelling, underwriting insights, and regulatory needs across HDI UK&I. This role ensures timely, trusted, well-stru

Senior AWS Data Engineer - SC Cleared.Hybrid - occasional on-site workshops (typically a couple of days per month) in.The role sits within a major data delivery area that provides data and analytics solutions aligned to critical business priorities, including cloud migration, fraud reduction, and re

Join the analytics team as a Machine Learning Engineer in the technology industry, where you'll design and implement innovative machine learning solutions. Machine Learning Engineer - London. Machine Learning Engineer - London.

A growing data team within the digital/consumer sector is looking for a SQL-first Analytics Engineer to help build out a robust, scalable analytics layer. This role sits at the intersection of data modelling, analytics engineering, and modern AI-enablement. Analytics Engineer - 6-Month Contract.

Who we are DecisionForest is a Bronze-Tier Databricks C&SI Partner, specialising in modern and scalable Data & AI platforms. Mission As a Forward Deployed Engineer you will work directly with client teams to design, build and deploy production solutions on Databricks. You’ll help customers solve real business problems using the Databricks platform, including data engineering, Lakehouse architecture, Unity Catalog, platform governance, workflow orchestration, performance optimisation and AI/data product enablement. You will operate close to the customer. That means joining discovery sessions, understanding current-state systems, identifying implementation gaps, building technical artefacts, shipping code, documenting patterns and helping customers adopt Databricks technologies. Responsibilities • Embed with customer teams to deliver production Databricks solutions., • Build data pipelines using Databricks, PySpark, SQL, Delta Lake, and Databricks Workflows., • Design and implement Lakehouse architecture patterns across bronze, silver and gold layers., • Implement Unity Catalog structures, including catalogs, schemas, tables, volumes, external locations, permissions, lineage and governance patterns., • Support migration from legacy data platforms or fragmented warehouse environments., • Build reliable ingestion, transformation and serving layers for analytics, AI and operational use cases., • Deliver technical artefacts for customers, including notebooks, jobs, pipelines, deployment templates, reference architectures, documentation and handover materials., • Provide deployment support for Databricks in enterprise environments., • Diagnose and resolve performance, reliability, cost and data quality issues., • Work with customer stakeholders across data engineering, analytics, governance, security, architecture and leadership teams., • Translate ambiguous customer requirements into clear technical plans., • Identify repeatable implementation patterns and feed them back into DecisionForest delivery standards., • Support pre-sales and post-sales activity where deep Databricks expertise is required., • Represent DecisionForest as a specialist Databricks partner in customer environments. What you must bring • 4+ years of experience in data engineering, platform engineering, analytics engineering or technical consulting., • Demonstrable experience owning at least 2 end-to-end Databricks implementations in a production environment., • Strong production experience with PySpark and SQL., • Experience with Databricks Lakeflow, notebooks, repos, SQL Warehouses, and cluster/serverless compute patterns., • Solid understanding of distributed computing concepts (partitioning, shuffling, optimisation techniques)., • Practical experience with cloud data platforms on at least one major provider (ideally both Azure and AWS), including storage, networking and security basics., • Good knowledge of data warehousing and Lakehouse patterns., • Experience with CI/CD and modern SDLC (Git-based workflows, code reviews, deployment pipelines, infrastructure-as-code is a plus)., • Strong problem-solving skills and the ability to debug complex data issues across multiple systems (data quality, performance, reliability)., • Confident communicator, able to translate technical detail into business language for non-technical stakeholders., • Self-driven, curious and committed to continuous learning in data engineering, cloud and analytics., • Familiarity with data governance, security and compliance in regulated environments.