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Data Science Training & Internship – CP - Spring 2026 Int-Elligence Tech Solutions Plc (UK-Based) Remote | 3 Months | Industry-Recognised Certificate | 1:1 Live Mentorship | April 2026 - VII The UK job market continues to face a shortage of skilled data professionals. Organisations across industries are actively seeking individuals who can turn data into meaningful insights and business value. Our program is specifically designed to bridge the gap between academic theory and the practical, real-world experience UK employers look for in data and tech professionals. Data science is no longer optional - it is becoming a core capability for growth-driven organisations in the UK. About 46% of UK businesses said they struggled to recruit for roles requiring data skills over the past two years(GOV.UK) Why Consider This Program? UK Skills Gap: A significant proportion of UK data roles remain unfilled due to a shortage of job-ready candidates (STEM Learning). Portfolio-Led Learning: Build up to 5 real-world projects, including use cases such as fraud detection, forex analysis, and sales forecasting. UK-Based Credibility: Training delivered by a UK-based technology firm, aligned with current local industry expectations and standards. Program Overview Data Science Training & Internship - CP This learning-focused internship is designed to help participants strengthen their practical data science skills through structured guidance, hands-on project work, and mentorship. What You’ll Gain Real-World Project Experience Apply data science techniques to real scenarios and develop a portfolio suitable for entry-level and transition roles. Mentorship from UK Industry Professionals Learn under the guidance of data specialists with experience across FTSE-listed companies, AI start-ups, and enterprise environments. Industry-Recognised Certification Participants who successfully complete the program will be eligible for a Microsoft-partnered industry certificate. Practical Tool Exposure Gain experience with frameworks and technologies commonly used by UK employers. Key Tools & Technologies Python – Core programming for data analysis NumPy & Pandas – Data preparation and manipulation Matplotlib & Seaborn – Visualisation and exploratory analysis TensorFlow, SciPy, Scikit-learn – Machine learning fundamentals Spark – Scalable data processing Flask & Streamlit – Deploying APIs and interactive data applications Who This Program Is For Graduates or final-year students in STEM, computer science, or analytics-related disciplines Professionals seeking to upskill or transition into data-focused roles Career changers looking to gain UK-aligned project experience Applicants should have basic working knowledge of Python 📌 Important Information This is an unpaid training and internship certificate program, structured specifically for learning, mentorship, and skill development. Please apply only if you are comfortable with this format and meet the eligibility criteria. How to Apply Apply directly via LinkedIn with your updated CV Shortlisted applicants will be contacted with next steps 📧 For queries: UK businesses are recruiting for 178,000–234,000 data or “hard data-skills” roles. Nearly half (≈ 48%) of businesses surveyed say they are hiring for data/data-skills roles - but many report difficulty filling them(Quantifying the UK Data Skills Gap, GOV.UK).

Role: Senior Platform Engineer Locations: Manchester (must be willing to travel to client sites throughout the UK on an ad hoc basis) Salary: Competitive salary and package (depending on level of experience) Please note: Any offer of employment is subject to satisfactory BPSS and SC security clearance, which requires 5 years’ continuous UK address history at the point of application. Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognised worldwide not just for business performance but for inclusion and diversity too. “Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us.” – Julie Sweet, Accenture CEO As a team: Accenture S&PE Engineering is over 1,000 people strong and provides end-to-end product engineering solutions which deliver tangible value, fast. We bring together an obsession for technical excellence with agility and scale, to help clients move from project to product at speed. We work with clients in every sector. They range from scale-ups through to national and international blue-chip names and public sector organisations. Our teams routinely work on products that are used by millions of people. We offer an exciting career working in a vibrant environment, with access to training and a global network of experts. As part of our S&PE Engineering team, you’ll be working with cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job. In our team you will: We typically work hand-in-hand with our clients to build great digital products for them and for their customers. To do this, we need experienced, capable engineers who can both deploy their own mastery to get things done hands-on and successfully lead others in doing so. The nature of our work varies from client to client so there will be lots of opportunities to experience new domains and new stacks. Our team is dedicated to applying great engineering to get great outcomes. Our engineers stand out by keeping one eye on value at all times, and by proposing thoughtful solutions that get the job done efficiently and with low complexity. You’d be a key advocate for this approach within a team. Beyond client work, our engineers are essential contributors to our internal and regional engineering communities. There’s loads of scope to get involved and help shape conversations around tech you’re interested in, share your knowledge and experience, and learn from colleagues working in very diverse problem spaces. AI You’ll be expected to responsibly adopt AI‑assisted engineering practices—such as GitHub Copilot, GitLab Duo, and similar tools—for code generation, testing, documentation, and analysis, while understanding model limitations, protecting client data, and improving delivery quality and speed through pragmatic automation SRE & Observability You’ll bring a reliability mindset to delivery, designing services that are operable by default and measured through meaningful SLIs/SLOs. You’ll help teams implement pragmatic observability—logging, metrics, and distributed tracing—with actionable alerting, and you’ll contribute to (or lead) incident response and post-incident reviews that drive learning and measurable improvements. Job qualifications We are looking for experience in the following skills: • Strong understanding of cloud platforms (preferably AWS/ Azure) and platform core services., • Strong hands-on experience in DevSecOps engineering, supporting cloud-native platforms at scale., • Proven expertise in Infrastructure as Code, with solid hands-on usage of Terraform across non-prod and prod environments., • Good understanding and practical application of SRE principles (SLIs, SLOs, error budgets, resilience, reliability)., • Experience with observability and monitoring tools, particularly Dynatrace ( or similar tools), including alerting, dashboards, and root-cause analysis., • Exposure to AIOps practices, leveraging automation and intelligence for proactive issue detection and incident reduction., • Experience supporting production platforms, including incident management, problem management, and continuous improvement., • Ability to mentor junior engineers, influence technical standards, and act as a technical point of escalation. What’s in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 25 days’ vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first-class services we are known for. About Accenture Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. We combine unmatched experience and specialized capabilities across more than 40 industries — powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. With 509,000 people serving clients in more than 120 countries, Accenture brings continuous innovation to help clients improve their performance and create lasting value across their enterprises. Visit us at ___ Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, or gender identity, or any other basis as protected by applicable law.

Senior Backend Data Engineer Location: UK (Remote / Hybrid ] About Gifftid: Gifftid is building a next-generation platform that transforms how small and medium-sized enterprises (SMEs) are understood, supported, and connected to growth opportunities. Today, millions of SMEs operate successfully in the real economy serving customers, delivering contracts, and generating revenue yet remain underserved due to limited visibility in traditional data systems. Gifftid addresses this gap by bringing together multiple sources of business data and transforming them into structured, decision-ready intelligence that supports better outcomes across finance, procurement, and growth. About the Role: We are looking for a Senior Backend Data Engineer to design and build the data infrastructure that powers our platform. You will work on integrating diverse data sources, building scalable pipelines, and creating the foundation for analytics and decision-making systems. This role is ideal for someone who enjoys working on complex, real-world data problems and building systems that translate raw data into meaningful outputs. Key Responsibilities: Design and implement scalable data pipelines for ingesting data from APIs, platforms, and external sources; build and maintain backend systems that support data processing and analytics; develop and optimise data models and storage architectures; ensure data quality, reliability, and consistency; work closely with product and data teams to support evolving requirements; contribute to overall system architecture and infrastructure decisions. Requirements: 5+ years experience in backend or data engineering; strong programming skills (Python preferred); experience with APIs and data ingestion pipelines; advanced SQL and data modelling skills; experience with cloud platforms (AWS, GCP, or Azure); familiarity with pipeline orchestration tools such as Airflow or Prefect. Nice to Have: Experience working with financial, operational, or transactional data; exposure to real-time or event-driven systems; experience with data warehouses such as BigQuery, Snowflake, or Redshift. What We’re Looking For: Strong systems thinker with attention to detail; comfortable working with ambiguity and evolving products; interest in building infrastructure that supports real-world decision-making. Why Join Gifftid: You will be part of building a platform from the ground up, working on challenges at the intersection of data, systems, and real-world business impact. Apply: Contact | Website:

Clinical AI Author – Specialist Physicians (ACAI Program | United Kingdom) Company MetaQare Global Holdings Location: Remote (United Kingdom) Type of Collaboration: Consulting / Independent Professional Engagement Company Address: MetaQare Global Holdings 254 Chapman Rd, Ste 208 #24871 Newark, Delaware 19702, USA Position Overview MetaQare is selecting a limited group of 100 highly respected and influential specialist physicians in the United Kingdom, including Consultants, Clinical Leads, Heads of Department, Medical Directors, Academic Clinicians, and recognised clinical opinion leaders, to join its international program Authors of Clinical AI (ACAI). ACAI is an elite global medical collaboration in which experienced physicians contribute their clinical reasoning, guideline-based expertise, and real-world medical judgment to the development of transparent, explainable, and evidence-based Clinical AI decision models. This is not a traditional employment position. It is a high-level professional collaboration designed for senior physicians with established clinical authority who seek intellectual leadership, international visibility, and lasting impact in the evolution of Clinical AI. Participants act as Clinical AI Authors, directly shaping a new generation of physician-led, ethically grounded clinical intelligence. Your Role as a Clinical AI Author As a Clinical AI Author, you will assume a senior scientific and strategic expert role, including: • Contributing to the design, structuring, and validation of clinical decision-making models within your specialty., • Translating evidence-based UK clinical practice (NICE guidelines, Royal College standards, NHS frameworks, and international guidelines) into structured, explainable decision logic., • Reviewing anonymised clinical cases and participating in senior-level, interdisciplinary peer-review processes., • Collaborating closely with MetaQare’s medical, scientific, regulatory, and technology teams., • Ensuring clinical rigor, traceability, explainability, and ethical integrity of all models., • Your clinical expertise is transformed into a digital clinical decision model reflecting your diagnostic and therapeutic reasoning., • Your judgment supports diagnostic pathways, risk stratification, and treatment decisions with full explainability and auditability., • You receive royalties linked to the validated clinical use of the model you help develop., • Your name becomes part of a select group of 100 physician pioneers shaping the future of Clinical AI in the United Kingdom., • MBBS / MBChB (or equivalent medical degree)., • Full registration with the General Medical Council (GMC)., • CCT (Certificate of Completion of Training) or recognised specialist registration., • Minimum 5 years of independent consultant-level clinical practice., • Preferably experience in leadership roles (Clinical Lead, Consultant, Medical Director, Academic Lead, etc.)., • Strong evidence-based clinical reasoning aligned with NICE and Royal College guidance., • Recognised as a reference expert within your specialty., • Demonstrated interest in medical innovation, Clinical AI, and decision-support systems., • Ability to collaborate as an independent medical consultant. We are seeking senior specialists across multiple disciplines, including but not limited to: Cardiology · Oncology · Dermatology · Gastroenterology · Gynaecology · Neurology · Endocrinology · Paediatrics · Allergy & Immunology · Respiratory Medicine · Internal Medicine · Psychiatry · Rheumatology · Trauma & Orthopaedics · General Surgery · Urology (Additional specialties are welcome.) What MetaQare Offers • Participation in the first global network of physician-developed clinical intelligence., • Comprehensive scientific, ethical, regulatory, and technological support., • Author agreement with a long-term royalty-based compensation model., • International visibility through the Global Medical Innovation Panel. MetaQare was founded with a clear mission: To preserve and scale clinical knowledge across time, institutions, and borders. For the first time, medical expertise can be digitally amplified without compromising scientific rigor, ethics, or transparency. Physicians who join ACAI do not work for AI — they define it. Application Process Please submit your CV along with a brief description of your specialty and current leadership role via LinkedIn Recruiter. Applications are reviewed on a rolling basis by the MetaQare Clinical Committee. 🔗 More information: 📩 Contact:

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!

Founding Engineer – AI/ML (Stealth Start-Up) Location: Fully Remote (UK) Salary: £120,000 + 1.25% equity Company Overview: A stealth-mode e-commerce AI start-up is building a conversational AI sales agent that acts like a knowledgeable in-store salesperson online. Unlike static browsing or basic recommendation systems, this AI engages in real conversations, understands product attributes, compatibility, visual features, and domain expertise, and provides genuinely expert guidance. Every interaction generates high-intent data on customer needs, objections, and unmet demand. This intelligence powers segmentation, product development, and personalisation — far beyond traditional analytics. Long-term, the company is building the cognitive core for future robotic sales agents: the mind that makes expert guidance possible. The founding team brings deep experience: one founder is a 3x founder, investor, and executive with 14+ years building software, consumer, and supply chain start-ups, and the other is an ex-FAANG engineer with deep technical expertise. Role Overview: As the Founding Engineer – AI/ML, you will be at the forefront of developing the intelligence that powers the AI agent. You will design, build, and scale the AI models, data pipelines, and cognitive systems that drive conversational recommendations and insights. This is a unique opportunity to shape the core AI and influence the company's product strategy from day one. Responsibilities: Design, develop, and optimise AI/ML models for conversational understanding, product recommendation, and decision-making. Build pipelines and systems to capture and leverage high-intent customer interaction data. Collaborate closely with founders to define technical roadmap and product strategy. Contribute to designing the memory, reasoning, and cognitive architecture for expert-level AI guidance. Implement scalable solutions that can operate in real-world commerce settings. Requirements: Strong expertise in AI/ML, NLP, and recommendation systems. Proven experience building scalable AI systems end-to-end. Ability to work in an early-stage, high-autonomy environment. Interest in product intelligence, customer experience, and cognitive AI systems. Excellent problem-solving skills, growth mindset, and passion for building cutting-edge AI. Perks & Benefits Competitive salary: £120,000 + 1.25% equity Fully remote within the UK Ground-floor opportunity in a stealth start-up Significant impact on AI architecture, product strategy, and company direction

Looking for A senior engineering leader who can build and scale Triple’s Forward Deployment Engineering function from the ground up. You will define how we integrate AI agents into the core systems of major banks, set the technical standard for every deployment, and grow a team of FDEs who deliver at the intersection of engineering and client success. About Triple Triple is building the intelligence platform for banking operations. We’re starting by solving one of the most painful problems in payments: dispute and chargeback management. Our AI agents automate the dispute workflows for card issuers, from intake and classification through evidence evaluation and scheme submission to Mastercard and Visa. We are also the leading transaction enrichment engine, trusted by 60+ banks and fintechs across 30+ markets. We have raised $10M in funding, an experienced team, and a large network of investors behind our company. We value getting things done. What you will do • Build and lead the Forward Deployment Engineering team: hire, mentor, and set the technical bar for engineers who work directly inside bank environments, • Define the integration architecture and reusable frameworks that allow Triple’s AI agents to connect with any core banking system, card processor, or dispute platform, • Own the technical quality of every client integration, from secure API design and data pipeline reliability to compliance with bank-grade security requirements, • Create scalable deployment tooling, integration templates, and automation that reduce time-to-live for new clients from months to weeks, • Work hands-on with the most complex integrations, setting the example for the team and unblocking critical deployments personally when needed, • Partner with Product and Engineering leadership to translate integration patterns and client constraints into platform capabilities, • Establish processes for knowledge sharing across deployments so that every integration makes the next one faster What you need • 7+ years of software engineering experience, with at least 2 years leading or managing a technical team, • Deep experience integrating with enterprise systems in financial services, payments, or similarly regulated industries, • Strong proficiency in Python and SQL. Hands-on experience with API design, data pipelines, and infrastructure automation, • Track record of building engineering teams or functions from early stage, including hiring, process design, and technical culture, • Comfortable operating in complex bank environments with layered security, compliance requirements, and multiple stakeholders, • Pragmatic engineering judgment: you know when to build for reuse and when to ship fast for a specific client, • Excellent communication skills for both engineering peers and senior client stakeholders, • English fluency required. Additional European languages are a strong plus Conditions 100% remote work. Competitive salary, equity, and generous bonuses. Travel to client sites as needed. The chance to shape how the world’s largest banks run operations with AI. Join Triple and help us build the intelligence platform for banking operations. Please kindly apply through LinkedIn

Hiring: Intelligence Architect | Software Engineering → Architecture → AI | London / Remote Conquer AI is hiring an Intelligence Architect to help design and deliver AI systems for enterprise clients. This is a client-facing role for someone who started their career in software engineering, built strong technical depth, and has since moved into architecture, AI, and solution design. We are not looking for data scientists who have moved sideways into AI. We are looking for people who come from an engineering-first background and understand how to turn real operational problems into working systems. The role You will work with clients from discovery through to delivery. That means: leading discovery sessions and technical workshops understanding business processes, operational pain points, and technical constraints shaping solution architecture across AI, APIs, data sources, integrations, and governance translating ambiguous problems into clear technical approaches working closely with engineering teams to deliver production-ready systems giving clients confidence through clear, credible technical leadership This role sits between engineering, architecture, and client engagement. It needs someone who can think clearly, communicate well, and stay close enough to delivery that solutions actually get built properly. What we’re looking for strong background in software engineering moved into architecture, technical design, or solution ownership over time experience working with AI systems, LLMs, intelligent workflows, or related technologies in real delivery environments comfortable owning technical conversations with clients and stakeholders able to operate well in ambiguity and bring structure to open problems confident working across discovery, design, and delivery strong judgement, strong communication, and a high bar for quality This role is likely a fit if you have started as a backend, full-stack, platform, or solutions engineer gone on to lead architecture or end-to-end technical design worked directly with clients, users, or senior stakeholders helped shape systems, not just build tickets experience delivering in fast-paced environments where ownership matters This role is not for recent graduates early-career engineers purely academic or research-led AI profiles data scientists without strong software engineering foundations candidates who have used AI tools but have not designed and delivered real systems Location We are based in London, UK, but this role can be remote for the right person. If this sounds like you, or someone you know, get in touch.

Full-time | Remote with trips to Silicon Valley office | Reports to Founders Introduction: • Join us at Fastino as we build the next generation of LLMs. Our team, boasting alumni from Google Research, Apple, Stanford, and Cambridge is on a mission to develop specialized, efficient AI., • Fastino's GLiNER family of open source models has been downloaded more than 5 million times and is used by companies such as NVIDIA, Meta, and Airbnb, • Fastino has raised $25M (as featured in TechCrunch) through our seed round and is backed by leading investors including Microsoft, Khosla Ventures, Insight Partners, Github CEO Thomas Dohmke, Docker CEO Scott Johnston, and others. What You’ll Work On: • Experiment with novel language model architectures, helping drive and execute Fastino's research roadmap, • Optimize Fastino’s multimodal models to improve response quality, instruction adherence, and overall performance metrics, • Architect data processing pipelines, implementing filtering, balancing, and captioning systems to ensure training data quality across diverse content categories, • Implement reinforcement learning techniques including Direct Preference Optimization and Generalized Reward Preference Optimization to align model outputs with human preferences and quality standards, • Build robust and real-world motivated evaluations, • Partner with Fastino engineering team to ship model updates directly to customers, • Establish best practices for code health and documentation on the team, to facilitate collaboration and reliable development What We’re Looking For: • Required - Great velocity for building and shipping agents / AI products., • Optional - Advanced degree (Master's or PhD) in Computer Science, Artificial Intelligence, Machine Learning, or related technical discipline with concentrated study in deep learning and computer vision methodologies, • Optional - Demonstrated ability to do independent research in Academic or Industry settings, • Optional - Substantial industry experience in large-scale deep learning model training, with demonstrated expertise in at least one of Large Language Models, Vision-Language Models, Diffusion Models, or comparable generative AI architectures, • Optional - Comprehensive technical proficiency and practical experience with leading deep learning frameworks, including advanced competency in one of PyTorch, JAX, TensorFlow, or equivalent platforms for model development and optimization

Senior FPGA Engineer Location: Manchester, Onsite working Salary: £60,000 - £75,000 depending on experience, plus benefits A leading UK defence and technology organisation is expanding its digital hardware team and seeking a Senior FPGA Engineer to develop high-performance appliances for defensive cyber and intelligence applications. This hands-on role involves the full product lifecycle, from concept and design through delivery and support, for reliable, secure systems serving governments and armed forces. The Role You'll work within a specialist team designing cutting-edge appliances from scratch, focusing on FPGA firmware alongside high-performance C, embedded software, custom PCBs, power, and thermal management. Expect active involvement in security-critical projects using predominately Altera FPGAs, with VHDL coding essential. What You Will Be Doing • Implementing VHDL firmware for Altera FPGAs (Xilinx/Achronix familiarity a plus)., • Handling high-bandwidth data processing with networking and DRAM interfaces., • Full lifecycle development: concept, design, delivery, and ongoing support., • Collaborating on hardware design for secure, maintainable cyber appliances. What We Are Looking For • Strong VHDL experience and familiarity with modern FPGA toolchains (Altera preferred)., • Proven high-bandwidth FPGA work, including networking/DRAM interfaces., • Background in security appliances or defence/cyber systems highly desirable., • Appreciation of hardware design principles., • UK security clearance eligibility and ability to meet nationality requirements; no regular remote working. What’s On Offer Competitive salary up to £75,000, performance-related rewards, comprehensive benefits, pension, and career development. Flexible onsite environment balancing professional demands with personal life in a supportive, inclusive culture. Due to the sensitive nature of the work, candidates must be eligible for UK security clearance. Apply today for this exciting Senior FPGA Engineer opportunity!

Senior AI Engineer (NLP / LLMs) – remote (UK based) £70-100k depending on experience A high-growth SaaS company is hiring a Senior AI Engineer to help build intelligent, mission-critical systems used in highly regulated environments. The platform applies machine learning and large language models across complex, end-to-end data workflows, solving real-world problems with measurable social impact. The Role As a Senior AI Engineer, you’ll design, build and deploy advanced NLP and LLM-based solutions, taking models from research through to production. You’ll work closely with AI, data, MLOps and product teams to translate business and regulatory requirements into scalable, reliable AI systems. This is a hands-on role for someone who enjoys owning outcomes, balancing experimentation with real-world delivery. What You’ll Be Doing • Designing and developing NLP and LLM-driven solutions for complex, real-world use cases, • Fine-tuning and adapting foundation models using domain-specific data, • Building evaluation frameworks, prompt testing tools and data preprocessing pipelines, • Monitoring, optimising and maintaining deployed models for performance, cost and reliability, • Implementing explainability, fairness and bias-mitigation strategies, • Collaborating on MLOps pipelines, CI/CD workflows and production deployments, • Mentoring junior engineers and promoting best practices across the team, • Staying current with advances in AI, NLP and MLOps to drive continuous improvement What We’re Looking For • Proven experience as an AI or Machine Learning Engineer with end-to-end model ownership, • Strong expertise in NLP and LLMs (transformers, fine-tuning, RAG, agents), • Experience translating research and experimentation into production systems, • Solid understanding of MLOps, including CI/CD, monitoring and model lifecycle management, • Hands-on experience with Docker and Kubernetes, • Experience working in regulated or sensitive domains, • Exposure to graph-based retrieval techniques, • Experience with Azure ML and DevOps integrations

Title: Engineering Manager Location: London, United Kingdom Candidates must be legally authorized to work in the United Kingdom without sponsorship now or in the future. Salary: 110k-140k Pounds (150-175k USD) + 10% Bonus + RSU's Our client, a progressive LegalTech Saas firm, is looking for a hands on engineering manager who can lead a team of 6-8 mid-sr engineers. The ideal candidate will ensure the efficient delivery of high-quality software solutions by managing project requirements, delegating tasks, and fostering technical excellence. What You’ll Do • Project Leadership: Determine project requirements, develop work schedules, and delegate tasks to meet project goals., • Team Management: Lead a team of engineers, ensuring the highest standards in product delivery and facilitating cross-team communication., • Stakeholder Liaison: Act as a bridge between technical teams and various stakeholders, including management, product managers, and product designers., • Reporting & Risk: Prepare progress reports, deliver presentations to relevant stakeholders, and identify risks to develop contingency plans as needed. Who You Are • Experience: 10+ years of software engineering experience, with 2-3 years in a management role., • Sector Expertise: Experience in SaaS environments and familiarity with cloud-based technologies and architectures., • Leadership: Demonstrated ability to lead, motivate, and scale a diverse team of engineers with strong interpersonal and team-building skills., • Technical Proficiency: Hands-on experience with Java, C#, Typescript, or Python in an enterprise environment. Eligibility • Candidates must be legally authorized to work in the United Kingdom without sponsorship now or in the future., • Our client is not currently sponsoring visas. About the Company Our client provides a cloud-native, artificial intelligence-powered legal solution that simplifies e-discovery, legal document review, and case management. Their scalable, integrated solution enables global enterprises, law firms, and governments to easily collect and process complex data relevant to legal matters. This role can be remote, or hybrid in London.

Consultant – Transmission Planning & Interconnection Strategy Title: Power Systems Consultant (Part-time, 10 hrs/week) Compensation: $150 per hour Objective: Encode power feasibility, timeline, and risk into Nyxium’s decision engine About Nyxium Nyxium is a London-based deep tech company backed by top-tier investors, building an infrastructure intelligence platform for siting and deployability decisions across data centers and energy infrastructure. We are seeking a Senior Power Systems Consultant to strengthen our grid access predictive capability, perform technical modeling, and elevate our grid intelligence beyond basic GIS mapping. The work will be conducted over six weeks, with clear deadlines and deliverables to ensure focus and impact within Nyxium’s ecosystem. Must-Have • 7+ years in utility / TSO / grid planning and operation, • Direct experience with data center or large industrial loads (≥20 MW), • Hands-on with:, • Interconnection process (queues, studies, upgrades, capacity extension), • Substations / transmission levels (HV/MV), • Geography: US or Europe (ideally both exposure) Expectation Define a rule-based system that enables Nyxium to reliably determine whether a site can obtain power, on what timeline, and what constraints may prevent it. The consultant will define the rules once, and Nyxium will apply them automatically across thousands of sites using geospatial data and scoring logic. Scope of Work Grid interconnection Feasibility proxies (Week 1) You will define indicators and heuristics for grid interconnection that Nyxium can compute as proxies for interconnection feasibility. The work will begin with data centers, and the methodology will be expanded in week 4 to additional markets, including battery energy storage and renewables. These proxies will be used to evaluate whether a site can be connected to the grid. They must include indicators of what makes a site power-viable versus non-viable, integrating key constraints such as: · substation and transmission access proximity · generation and load density · voltage level · existing and historical interconnection queue These indicators and heuristic rules will be used to construct a power readiness score, with components that reflect structurally favorable or unfavorable conditions for power supply or grid connection at specific sites, such as indicative spare capacity. They should also propose hard no-go rules that depend on the asset class, for example, “> X km from ≥132 kV → NO for ≥50 MW data centers,” as well as upgrade classes (minor works versus transmission upgrades required and/or new substation build-out). In addition, they should specify, where appropriate, the required inputs Nyxium must collect. Timeline Model (Week 2) On week 2, you will expand upon the first week’s methodology to translate real-world grid behavior into usable timelines. You will define: · Time-to-power classes for each site (e.g. T1: 0–2 yrs, T2: 2–4 yrs, T3: 4–7 yrs) · What conditions lead to each timeline · Typical envisioned upgrade pathways (e.g. transmission expansion vs new substation) and associate costs With this work, we should be able to produce a structured mapping from site characteristics to timeline estimates. The mapping rules (if/then) may be based on factors such as voltage level, region (US/EU), upgrade class, load density, renewable and data center density, and congestion proxies. An estimate of the confidence associated with each proxy and approach must also be provided (e.g., high / medium / low), depending on data caveats and other well-justified dimensions. Red Flags & False Positives (Week 3) By week 3, the methodologies should be safeguarded against hidden blockers. Based on the proxy models developed, critical risk patterns and common failure cases must be well documented. You will define: · Indicators and heuristics that provide early signals such as “site appears viable but cannot realistically secure capacity,” or “upgrade requirements will delay the project beyond viability.” · A list of red flags and decision rules to detect “looks good but will fail” patterns (e.g., “near substation but no spare capacity typical in the region”), along with associated data caveats. · A set of systematic viability checks to be performed before recommending a site. Battery Energy Storage System and Renewable energy Variants (Week 4) In week 4, the models will be reused and expanded to cover battery energy storage systems and renewable energy assets. Indicators and heuristics for the co-location of data centers with these assets will also be developed. The outputs for this week will be: · Novel adjusted weights for: • Grid access, • Land constraint / cooling, • Additional flags:, • interconnection value zones (e.g., high-density of negative prices, curtailment), • co-location viability with data centers Validation (Week 5) You will review real site outputs from Nyxium and answer: • Would you proceed with this site?, • What is missing or incorrect? Integration Requirements Consultant must provide: • Rule tables (clear thresholds), • Weightings (e.g., substation proximity = 30%, voltage = 30%, etc.), • Decision tree (if/then logic), • Examples (good vs bad sites) What success looks like By the end of week 6, the Power Readiness Score and timeline classes must be live in the product. Greater than 80% agreement between consultant judgment and the model across 10 validation sites must be demonstrated, and the decision output must be enabled as: Deployable / Conditional / Not Deployable (power-driven). The methodology and code must be clearly documented, transparent, and reproducible, with a Python-based approach preferred and aligned with industry best practices.

Position Overview: SBS is seeking a skilled AI Engineer to join its Data & AI / Engineering organization in the UK or EU. This role will focus on designing, building, and deploying AI-driven solutions that enhance SBS products and client offerings. The ideal candidate will combine strong software engineering fundamentals with applied AI/ML expertise, enabling the development of scalable, production-grade AI systems in a regulated financial services environment. Location: UK or EU Hybrid/Remote: Remote (Occasional travel required) Responsibilities: AI Solution Development • Design, build, and deploy AI/ML models and intelligent applications across SBS platforms, • Develop solutions leveraging:, • Machine Learning (ML), • Natural Language Processing (NLP), • Generative AI (GenAI / LLMs), • Translate business requirements into technical AI solutions that deliver measurable impact Model Deployment & MLOps • Implement and manage end-to-end ML pipelines, from data ingestion to model deployment and monitoring, • Collaborate with DevOps and engineering teams to ensure scalable, reliable production deployment, • Maintain and optimize model performance, accuracy, and efficiency over time Product Integration • Integrate AI capabilities into core banking, payments, and digital platforms, • Work closely with Product Managers, Architects, and Developers to embed AI into customer-facing solutions, • Support API development and microservices architecture for AI-driven features Data Engineering Collaboration • Partner with data engineers to ensure data quality, availability, and pipeline integrity, • Work with structured and unstructured datasets across large-scale, distributed systems Innovation & Continuous Improvement • Stay current with advancements in AI, GenAI, and emerging technologies, • Contribute to experimentation, prototyping, and innovation initiatives, • Identify opportunities to improve automation, efficiency, and decision-making through AI Qualifications: Software Architecture & Design • Application architecture: Strong grasp of clean/hexagonal architecture, dependency injection, SOLID principles, and protocol-based interfaces. Can design well-structured Python services with clear separation of concerns, testable components, and maintainable codebases. This is not optional — the existing system follows these patterns, and new code must be consistent., • API design: Experience designing and maintaining RESTful API contracts. Understands OpenAPI specifications, versioning strategies, schema evolution, and backward compatibility. Can own the API surface that internal consumers depend on., • System design: Distributed systems thinking — understands event-driven patterns, asynchronous communication, eventual consistency, and the trade-offs of different integration approaches. Can reason about how components interact across service boundaries., • Data modeling: Can design domain models, define data flows between system components, and make pragmatic schema design decisions. Understands how data structures affect downstream consumers and the system's evolution. AI & LLM Application Skills • LLM application development: Hands-on experience building production applications powered by LLMs. Must go beyond API calls — RAG pipelines, chain-of-thought reasoning, structured output parsing, multi-step workflows. Candidates who have only fine-tuned models or only called a single provider’s API do not qualify., • Model-agnostic design: This is a sovereign AI system. The candidate must design against standardized API interfaces (OpenAI-compatible, LiteLLM, or equivalent abstraction layers), not couple to any single provider. Must understand model routing, fallback strategies, and how to build systems that can swap underlying models without application-layer rewrites. Experience limited to a single commercial API (OpenAI, Google, Anthropic) without abstraction is insufficient., • Agentic system design: Demonstrated experience designing multi-step AI systems where the model makes decisions about what to do next. This could be via LangGraph, CrewAI, AutoGen, custom agent loops, or any framework — the underlying patterns (ReAct, plan-and-execute, reflection) matter more than the tool., • Prompt engineering depth: Can demonstrate iterative prompt development for complex tasks. Understands few-shot, chain-of-thought, XML/structured prompting, and the behavioral differences between model families and sizes. Critically, understands that prompt strategies must adapt when moving between frontier and smaller OSS models. Python Engineering Production Python: Strong async Python with FastAPI or equivalent framework. Comfortable with Pydantic for data validation, SQLAlchemy for data access, and structured logging (structlog). Writes clean, testable, well-documented code with proper type hints. This is a software engineering role that builds AI systems — not a data science role that happens to write Python. Safeguards for hallucinated tools, loops, partial completion, and unsafe actions. Understands async trade-offs, batching, streaming, and latency accumulation Engineering Qualities • Works within existing systems: The candidate joins a substantial existing codebase and architecture. They must be comfortable reading, understanding, and extending code they did not write — not lobbying to rewrite it., • Production mindset: Thinks about error handling, retry logic, graceful degradation, observability, and security as first-class concerns. Understands that agentic autonomy creates new failure modes that must be anticipated., • Clear communicator: Can explain technical trade-offs to non-technical stakeholders. Can write clear design documents. Can articulate why an agentic approach is or is not appropriate for a given problem. Company Overview At SBS, we’re more than just a technology company; we’re a global fintech partner helping banks and financial institutions transform, innovate, and grow. With over 5,000 employees worldwide and clients in more than 80 countries, our solutions power everything from digital banking and lending to payments and core banking systems. As part of 74Software, we’re backed by a group of leading software companies delivering mission-critical solutions worldwide. Our focus is on delivering long-term value, leveraging cutting-edge technology, and fostering strong client partnerships. Join us and be part of a collaborative, forward-thinking team shaping the future of finance. Why SBS? At SBS, we’re committed to supporting our employees in every aspect of their lives, from health and wellbeing to financial security and lifestyle perks. We offer benefits that help you thrive at work and beyond, including health coverage, retirement plans, paid time off, flexible work options, career development, competitive pay, and global culture perks. Equal Opportunity Employer We are committed to providing equal opportunities and ensuring a fair and inclusive recruitment process. We do not discriminate on the basis of age, disability, gender, sexual orientation, race, religion, or any other protected characteristic.

Accelerant is seeking a Product Area Lead Architect to provide hands on, operational architectural leadership for our Insights, Analytics & Workflows product area. This role operates at a Principal level, influencing architecture and execution across multiple autonomous product teams. You will work closely with team architects, engineering managers, product managers, and Data Science teams to ensure teams move fast without fragmenting the architecture. This is not an ivory tower architecture role. It is highly collaborative, pragmatic, and operational, focused on identifying architectural gaps, managing dependencies, and enabling teams to execute confidently within a shared architectural framework. You will champion standards based architecture, leveraging web standards, open protocols, and industry conventions to build interoperable, accessible, and future proof systems. Key Responsibilities Operational Architectural Leadership • Ensure architectural alignment across product teams, partnering closely with team architects and engineering managers, • Proactively identify architectural gaps, technical debt, and quality risks; drive resolution through collaboration and influence, • Manage cross team technical dependencies to enable independent, parallel execution, • Translate architectural strategy into clear, actionable guidance that teams can apply sprint by sprint Cross Team Coordination & Alignment • Facilitate architectural discussions and resolve technical conflicts across teams through principled, pragmatic decision making, • Act as an escalation point for complex cross team technical challenges, • Ensure architectural decisions are clearly communicated, understood, and consistently applied Design and Innovation • Define and maintain architectural patterns across backend services, APIs, data platforms, and front end systems, • Design scalable, resilient systems for analytics, workflow orchestration, and intelligence features, • Guide decomposition of legacy systems into well defined services and domains, • Evaluate technologies and data stores, favoring open standards and long term maintainability, • Architect distributed systems with focus on reliability, fault tolerance, and scalability Standards & Governance • Establish API design standards ensuring consistency, discoverability, and ease of integration, • Define front end standards prioritizing web platform capabilities, progressive enhancement, and accessibility (WCAG), • Create governance frameworks that balance standardization with team autonomy, • Drive adoption of industry standards (OAuth2, OpenID Connect, OpenTelemetry, JSON:API) over proprietary alternatives Technical Leadership • Partner with engineering teams on design reviews, PR reviews, and implementation guidance, • Establish standards for cross cutting concerns: API versioning, auth, observability, error handling, and resiliency patterns, • Collaborate with platform and DevOps teams on containerization, CI/CD, and cloud native deployment, • Produce clear technical design documentation that drives alignment and knowledge sharing, • Mentor engineers and raise the overall architectural maturity of the organization GenAI, ML & AI Architecture • Architect customer facing GenAI features using LLMs, including RAG pipelines, prompt engineering frameworks, and conversational AI interfaces, • Define patterns for ML model integration: serving endpoints, API contracts, versioning, and health monitoring, • Partner with Data Science to translate models into production grade features with clear integration contracts and deployment workflows, • Establish standards for responsible AI, including evaluation criteria, privacy guardrails, and LLM output validation AI Transformation & Productivity Leadership • Scale AI driven development workflows across teams, ensuring engineers leverage AI coding tools effectively, • Guide team architects and coach senior engineers on using AI tools to enhance productivity and code quality, • Work hands on with teams to identify opportunities for AI to solve operational challenges and improve velocity Solution Evaluation & Quality Assurance • Evaluate and recommend technologies to enhance capabilities across analytics, workflow, and intelligence domains, • Ensure architectural integrity through code reviews, assessments, and continuous monitoring, • Proactively identify technical risks and devise strategies for reliability, security, and performance Technical Requirements Full Stack SaaS Architecture: • Strong proficiency in modern JavaScript/TypeScript and Node.js, • Deep knowledge of web platform fundamentals and browser native capabilities, • Experience designing and evolving well structured APIs for platform integrations Architectural & Systems Thinking: • Deep knowledge of architecture principles, design patterns, and distributed systems, • Proven ability to make pragmatic tradeoffs in complex, evolving systems, • Experience in cloud native environments, preferably AWS AI Enabled Engineering: • Demonstrated experience using AI coding tools (GitHub Copilot, Cursor, Claude, etc.), • Understanding of AI applications for development productivity and code quality improvement Qualifications • 8 to 12+ years in software engineering and architecture roles, • Proven experience operating across multiple agile teams in an architectural leadership capacity, • Track record of managing cross team dependencies and bridging architectural vision with day to day execution, • Proven ability to drive AI adoption and transformation within engineering organizations, • Excellent communication and facilitation skills with ability to align work across distributed teams, • Pragmatic, operational mindset with strong problem solving abilities, • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Company Description ShopQuick, a voluntary initiative under Novalink Innovations Limited, is dedicated to leveraging technology to redefine convenience in daily shopping experiences. Focused on innovation and customer satisfaction, the organization emphasizes seamless, user-friendly solutions in retail technology. Based in the United Kingdom, ShopQuick thrives on collaboration and creativity to empower communities and enhance shopping systems. As a volunteer-focused organization, we aim to foster skill development while contributing to cutting-edge technological applications. Role Description This is an on-site volunteer role for an AI/ML Engineer, located in the United Kingdom. The role involves designing, developing, and testing AI and machine learning models; pre-processing and analyzing large data sets; and collaborating with cross-functional teams to integrate intelligent systems into ShopQuick's operations. The AI/ML Engineer will also be responsible for optimizing algorithms, monitoring performance metrics, and staying updated with advancements in machine learning technologies while applying them to real-world challenges. Qualifications • Experience in Machine Learning and Artificial Intelligence, including fundamental concepts and applications., • Proficiency in programming languages like Python or R, with experience in using libraries such as TensorFlow, PyTorch, or Scikit-learn., • Strong data management skills, including data preprocessing, cleaning, and the ability to work with large data sets efficiently., • Familiarity with statistical modeling and algorithm development techniques., • Problem-solving skills, a detail-oriented mindset, and the capacity to learn new technologies quickly., • Excellent communication and teamwork abilities, especially in collaborative and cross-functional settings., • A degree or ongoing studies in Computer Science, Data Science, Mathematics, or related fields is preferred., • Previous experience in retail technology or volunteering roles is a plus.

Data Engineer • Salary up to £60,000 + discretionary bonus, • Hybrid working model with collaborative office environment, • Work with Databricks, Spark Structured Streaming, Kafka (MSK), and AWS ABOUT THE CLIENT Due to continued growth, we’re seeking a skilled Data Engineer to join an established organisation at the forefront of building modern, data-driven platforms. The business is investing heavily in its data ecosystem and is focused on delivering real-time insights and trusted analytics that support teams across product, finance, marketing, and compliance. This is an excellent opportunity to work with modern cloud data technologies and play a key role in shaping a scalable, secure, and high-performance data platform. WHAT WILL YOU BE DOING? As a Data Engineer, you will design, build, and optimise scalable data pipelines within a Databricks Lakehouse environment. You’ll work with both streaming and batch data pipelines using technologies such as Apache Spark Structured Streaming, Delta Live Tables, and Kafka, ensuring data flows efficiently and reliably across the organisation. Working closely with BI, product, and engineering teams, you will help deliver high-quality, governed data that supports analytics, reporting, and operational decision-making. You’ll also play a key role in enabling business intelligence through high-performance data models and integrations with reporting tools. You’ll monitor and optimise pipeline performance, implement CI/CD processes for data workflows, and maintain strong governance and security standards across the data platform. Documentation, observability, and cost optimisation will also form part of your responsibilities as you contribute to the ongoing development of the organisation’s data ecosystem. OUR BENEFITS: • Competitive basic salary, • Discretionary bonus scheme, • Company shares option plan, • Contributory pension scheme, • Life insurance (4x basic salary), • Health cash plan, • Generous holiday allowance including bank holidays, • Study support and clear progression opportunities, • Employee assistance programme available 24/7, • Collaborative office environment with regular social and charity events, • And Much More!!! DATA ENGINEER – ESSTENTIAL SKILLS • Strong experience with Databricks and Apache Spark (PySpark or Scala), • Experience building streaming and batch pipelines using Spark Structured Streaming, • Hands-on experience with Kafka (MSK) and real-time data ingestion, • Strong understanding of Delta Lake, Delta Live Tables, and Medallion Architecture, • Proficiency in Python and SQL for data engineering and analytics TO BE CONSIDERED… Please either apply by clicking online or emailing me directly . By applying to this role you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS Data Engineering, Databricks, Apache Spark, PySpark, SQL, Python, Kafka, AWS, Delta Lake, ETL, Data Pipelines, CI/CD, Big Data

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!

Full‑Stack Engineer Location: Remote (UK Based) Salary: Up too £50,000 We're working with a high-growth SaaS company building an AI-powered operational intelligence platform used by enterprise clients across process and governance-heavy industries. They're a focused, engineering-led team scaling a modern TypeScript stack across a multi-tenant product with AI-driven analysis, structured workflows, and robust access control. They're now looking for a Full-Stack Engineer with strong backend fundamentals to help build and maintain their core platform. What You'll Do • Build and extend REST APIs using Node.js, Express, and TypeScript, • Work with MongoDB, maintaining schemas and data models, • Integrate AI analysis results via async workflows and webhooks, • Maintain authentication, authorisation, and role-based access control, • Build and improve frontend features using React + TypeScript What We're Looking For • 2 years + experience in backend or full-stack development, • Strong backend fundamentals and experience with Node.js + TypeScript, • Ability to build frontend features with React and modern CSS, • Solid understanding of debugging, testing, and performance optimisation, • Comfortable working collaboratively in a remote environment, • Familiarity with cloud platforms and modern dev tooling is a plus Nice to Have • Experience with AI-integrated workflows, • Exposure to multi-tenant SaaS platforms, • Understanding of RBAC, authentication, or workflow engines This is a great opportunity for an early-career engineer to work across a modern TypeScript stack, contribute to a real SaaS product, and help shape an AI-powered operational intelligence platform used by enterprise clients across process and governance-heavy industries.

Looking for A technical delivery leader who can own the end-to-end success of AI agent deployments at the largest banks and fintechs in Europe. You will build the delivery function, set the methodology, and ensure every deployment drives measurable operational impact for our clients. About Triple Triple is building the intelligence platform for banking operations. We’re starting by solving one of the most painful problems in payments: dispute and chargeback management. Our AI agents automate the dispute workflows for card issuers, from intake and classification through evidence evaluation and scheme submission to Mastercard and Visa. We are also the leading transaction enrichment engine, trusted by 60+ banks and fintechs across 30+ markets. We have raised $10M in funding, an experienced team, and a large network of investors behind our company. We value getting things done. What you will do • Build and lead Triple’s AI Delivery team: hire, develop, and manage a team of delivery professionals who ensure every AI agent deployment succeeds in production, • Own the delivery methodology from scoping and discovery through go-live, optimization, and expansion, creating a repeatable framework that scales across dozens of concurrent bank deployments, • Serve as the senior technical advisor to client executives (Heads of Operations, Risk, Payments, Cards), building trust and translating operational challenges into AI-driven solutions, • Define and track deployment success metrics (automation rate, resolution accuracy, processing time, loss reduction) and drive continuous improvement across all live clients, • Manage complex, multi-workstream deployments involving engineering, product, compliance, and client teams across different time zones and regulatory environments, • Build the knowledge base: deployment playbooks, configuration best practices, escalation frameworks, and training materials that accelerate every future onboarding, • Act as the voice of the client internally, surfacing product gaps, scalability concerns, and feature requests that shape the roadmap What you need • 7+ years of experience in technical delivery, solutions engineering, or implementation leadership in fintech or financial services, • At least 2 years of experience managing or building a delivery team, including hiring, coaching, and performance management, • Deep understanding of banking operations, payments infrastructure, or dispute and chargeback workflows, • Technical depth: you can engage meaningfully with engineering discussions, review integration architectures, and troubleshoot deployment issues without depending on others, • Proven ability to manage executive-level client relationships at banks and regulated institutions, • Experience defining and scaling delivery processes in a high-growth environment where the playbook does not yet exist, • Strong project management instincts with the ability to keep multiple concurrent deployments on track, • English fluency required. Additional European languages are a strong plus Conditions 100% remote work. Competitive salary, equity, and generous bonuses. Travel to client sites as needed. The chance to shape how the world’s largest banks run operations with AI. Join Triple and help us build the intelligence platform for banking operations. Please kindly apply through LinkedIn.

Head of Procurement Manchester 1 day per week in the office 12 Month FTC About us Were Salix and were on a mission to help save the planet. We enable and inspire organisations in the public and private sectors to achieve their ambitious net zero targets and create better places to live and work. Were passionate about our work and proud to be on the journey with them. We deliver government funding schemes to support councils, schools, housing associations, hospitals and universities to boost their energy efficiency, reduce their environmental impact, save money and help remove households from fuel poverty. We work with the UK government and the devolved administrations in Scotland and Wales. As well as managing funding schemes, we provide professional advice, expertise and support to grant recipients throughout all stages of their projects. We also offer insight and intelligence to help shape future schemes and policy development. Weve been growing since 2004 and now employ around 200 people across offices in Manchester and London.

(Graduate level or developing professional / Hybrid / based Hyde, Greater Manchester) Google search has changed. People aren’t clicking through ten blue links anymore, they’re asking AI. And right now, AI is deciding who gets cited and who gets ignored. We aren’t just "writing blogs." We are building a Content Engine designed to win the future of search. Our goal: Become the primary source for education in the age of LLMs and AI Overviews. The Mission This is not a social media manager role. This is not a traditional copywriting job. This is a high-velocity, AI-First position where you will master GEO (Generative Engine Optimisation). You will work alongside educators and subject specialists to turn expert knowledge into multiple pieces of content that AI models (Google AI Overviews, Gemini, ChatGPT) love to read, understand, and - most importantly - cite. What You’ll Be Doing • Prompt Engineering: Moving beyond "Write a post" to building complex, multi- step workflows that generate elite-level output., • The "One-to-Many" System: Mastering the art of taking one expert topic and rapidly generating 20–40 high-authority assets (Guides, FAQs, and Social Content) per week, • Google AI Overviews & LLM Optimisation: Structuring content so it is perfectly formatted for AI Overviews and citations., • Rapid Iteration: Testing what works, seeing what gets cited, and doubling down. We move fast and break things (then fix them with better prompts). This is for you if... • You’re AI Fluent: You have 2+ LLM tabs open right now. You don't just "use" ChatGPT, Gemini and Copilot - you experiment with it., • You’re High-Output: You prefer "Ship, then Iterate" over "Polish for three weeks." You thrive in a fast-paced, high-volume environment., • You’re an Architect: You like building repeatable systems and templates rather than just doing one-off tasks., • You’re looking to develop rapidly in an emerging discipline: You want to learn a skill (GEO) that will be the most valuable marketing asset of 2026. This is NOT for you if... • You want to manage Instagram aesthetic grids or social calendars., • You prefer slow, perfection-first manual writing., • You think AI is "just a tool for drafts"- we see it as the engine. What Success Looks Like • You are producing high-quality, expert-backed content at a scale humans can’t match alone., • Our brand starts appearing as the "source" in AI-generated answers., • You help us secure our position as the go-to authority that AI models trust and cite first Findel: The Power Behind the Classroom Findel is the UK’s leading educational resource supplier, supporting schools and nurseries through our elite brands: Hope Education, GLS, Davies Sports, and Philip Harris. • We’re a Mission-Driven Team: We believe inspiring future generations is a cause worth championing. We deliver where others fail to help schools flourish., • Global Power, AI Future: Part of the €1bn turnover Manutan Group, we are going all-in on AI to win the future of search., • Purpose-Led: We are EcoVadis rated for sustainability, a certified Great Place to Work, and driven by the Findel Foundation. Visit findel.co.uk to see how we’re moving education forward.

MGF are currently seeking a Design Engineer to join a leading Temporary Works Engineering department, based in Astley, Manchester. Specialising in temporary works design, the successful candidates will be working within a 35 strong engineering department in Manchester with full technical responsibility for your own projects. Following an established, successful training programme, the successful candidate would have full technical responsibility for their own projects, be expected to manage their own designs and attend site meetings / inspections nationwide in support of their design work - initially supported by Design Team Leaders. The position offers a high degree of responsibility very quickly for candidates with the right aptitude. Your key responsibilities may include: • Production of Temporary Works designs and drawings on a day-to-day basis to satisfy customer demand, • Checking your own designs and drawings in line with MGF’s quality procedures, • To produce “one-off” project work as directed by the Engineering Management Team, • Provide technical support to the Sales Team / Customer (project related/non-project related), • Contribute to the smooth and effective operation of the department, • Follow MGF’s internal QA procedures self-management of allocated workload to meet customer / business demand The core requirements for this role are: • Civil Engineering Degree, • Strong analytical abilities, • A professional manner with good communication skills, • Strong IT skills Experience working within a similar design role would be preferred but is not essential, as would structural design, geotechnical design, and temporary works knowledge. In addition to a competitive salary, we also offer the following: • Option to purchase additional days of annual leave, • Additional annual leave awarded to recognise long service, • Pension Scheme, • Life Assurance, • Opportunities for training, development, and career progression, • Volunteering Leave, • Discretionary bonus scheme based on business performance, • Security of working for a well-established & growing company, • A sense of family is at the core of our company culture, • Shutdown over the Christmas period, • Refer a friend scheme, • Free on-site parking About MGF: MGF is a rapidly expanding, a highly innovative and digitally advanced market leader in the design, manufacture, hire and sale of proprietary excavation support systems to the Construction Industry. Established in 1981, Employing over 450 staff, we operate nationally from 13 locations. We are a highly respected sector leader, well respected for our intelligence, and client focused approach to delivery of projects. MGF, also, operates a highly successful Institution of Civil Engineers Approved Training Scheme to support the right candidate in attaining professional recognition as a Chartered or Incorporated Engineer. We aim to be an equal opportunities employer and welcome applications from all sections of society. All applicants will be treated in the strictest of confidence.

BI Developer (Power BI, DAX & Data Modelling) Considering applying for this job Do not delay, scroll down and make your application as soon as possible to avoid missing out. £440 pd via Umbrella Fully Remote, initially 5 months Leading Financial Services business is looking to bring in an experienced BI Developer with strong data modelling and DAX expertise to support the Business Intelligence & Insights team in delivering robust operational reporting. Key Responsibilities Design and build dimensional data models (star schemas) within Power BI Develop and maintain: Power BI dataflows Semantic models (datasets) Reports and dashboards Create robust DAX measures and calculations to support complex reporting requirements Deliver operational reporting across: Platform data Contact centre activity Complaints, feedback, QA, and incident data Investigate and resolve data issues using SQL, identifying root causes across source systems Build Excel-based reporting connected to Power BI semantic models, as required by the client Skills/Experience Proven experience as a BI Developer / Power BI Developer Strong experience in dimensional modelling (star schema design) Advanced Power BI & DAX skills (measures, time intelligence, performance optimisation) Hands-on experience building semantic models without a formal data warehouse layer Strong SQL skills for data analysis and troubleshooting Experience working with operational data (e.g. transactional, service, or event-based systems) Solid understanding of data quality, validation, and reconciliation processes Ability to work closely with stakeholders and translate requirements into scalable models Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. xrnqpay Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason , please let us know when you apply or talk to the recruiters directly so we can support you.

RealityMine has been a pioneer in delivering data driven insights to the world's largest brands for over a decade. Our platform provides unique data solutions to our clients enabling them to make strategic, informed decisions powered by data from real people, collected in a privacy safe way. As we continue to expand, we’re seeking a Product Manager who will play a key role in supporting our continued growth. The Role: As a Product Manager at RealityMine, you’ll be at the forefront of defining and shaping our core measurement products and the value that our clients realise from them. You will be responsible for identifying and prioritising the most valuable product opportunities; driving discovery, planning and delivery across multiple teams to bring market leading solutions to life. Our offices are in Trafford Park, Manchester and the role consists of hybrid working, where we ask for our team to be in the office for collaboration and team building 2 days per week. The rest of the week is up to you; deep focus at home, or more of the same! Key Responsibilities: · Identify high impact, high value product opportunities and collaborate with key internal teams and clients to bring products and capabilities to market. · Build and maintain relationships with key internal and external stakeholders to inform your decision making and so that you can influence decision making throughout the product lifecycle. · Lead cross functional teams with clear vision, strategy and objectives that will push RealityMine to high value outcomes. · Deliver product roadmaps with clear priorities that the wider business and our clients will be excited about. · Accelerate the delivery of high-impact features to our clients and value to RealityMine. · Work with our engineering leads to develop and deliver solutions that will meet your strategic objectives and hit agreed milestones and deadlines. · Bring market, client and competitor trends to the forefront of your decision making, ensuring that decision making is contextualised and powerfully evidenced. · Adhering to Company Policies and Procedures with respect to Security, Quality and Health & Safety. About You: You want to work in high-growth environment with challenging targets and where change will be constant. You are not daunted by complexity, keep a clear head when things aren’t going to plan, and hold yourself and your colleagues to a high standard. Here’s what we’re looking for: • 5+ years in Product Management roles is essential, preferably with experience in B2B SaaS companies., • Data literate and comfortable analysing and understanding large datasets and complex data products., • Experience working across the full technology stack and comfortable managing a range of complex inputs and downstream processes., • High emotional intelligence and a skilled communicator who can confidently work with and across all levels and roles within both RealityMine, and its clients., • Experience of applied AI/ML is desirable., • Adept at understanding and solving complex technical challenges, whilst being able to simplify and communicate these to non-technical teams., • Comfortable working autonomously and making decisions based on imperfect or ambiguous data, and within an organisation experiencing constant change., • You face into hard choices and aren’t afraid to manage risks to maintain forward progress. Preferred: • Experience of applied AI/ML is desirable., • Experience of data products., • Experience of audience measurement solutions as vendor or client., • Client facing experience within a B2B SaaS environment. Why Join RealityMine? At RealityMine, we believe our people are at the heart of everything we do. That’s why we go the extra mile to support every team member to unlock their full potential. Whether you're hungry for learning, driven by achievement, or just love being part of a dynamic and supportive team, you'll find a home here. Your Benefits · Generous Time Off: Enjoy 25 days of paid holiday, plus bank holidays. After two years with us, you can also buy or sell up to 5 days of annual leave. · Peace of Mind: Life assurance and a workplace pension with employer contributions. · Reward for Performance: Bonus scheme that recognizes your hard work and contributions. · Cycle to Work Scheme: For the cyclists among us, we've got you covered. · Gear You’ll Love: Choose the tech that works for you, we'll try and source it! · Learning & Growth: Benefit from one-to-one coaching, a budget for training programs, and all the support you need to keep growing. · Giving Back: Join us in supporting local charities and making a positive impact. Hybrid Working We know work-life balance matters, so we’ve embraced a flexible hybrid working model: · Located in Trafford Park, our Manchester office offers an inspiring, collaborative space to work alongside your colleagues. · Free parking and secure bike shed. Excellent public transport links. · Split your time between the office and home, with 2 days working in our offices. · Full equipment provided for home working (desk, screen, chair). · Receive £100 annually to personalise your home workspace. · Flexible start and finish times to suit your personal circumstances. If you’re a Product Manager professional excited to work on impactful projects and shape the future of data insights, we’d love to hear from you. Please email your CV with the heading ‘Product Manager’ to

The Business Intelligence Specialist will work collaboratively with internal stakeholders to collate, analyse and present data and information to ensure successful delivery of performance targets within Great Places. What youll be doing • Supporting the business to accurately report performance information, • Collaborating with service owners and subject matter experts across the Group to design, develop and build appropriate tools to present routine BI analysis, supporting the Groups Performance Management Framework and operational management of the business., • Using data to gather greater insight and intelligence around key drivers of performance, resulting in intelligence led decision making, • Providing bespoke analysis and technical expertise through appropriate analysis and visualisation techniques such as Power BI and GIS, to support colleagues across the business with scrutinising data., • Advanced knowledge of Excel with proven capability of handling large, complex data sets., • Experience of using a range of analytical techniques, from basic to advanced and understanding the appropriateness of use.

Responsible Individual – Children’s Residential Care £60,000–£75,000 Manchester We’re looking for an experienced Responsible Individual to oversee a children's home in Manchester. What You’ll Do • Lead on Ofsted compliance, inspections, and safeguarding, • Drive quality improvement through audits, data insight, and reflective practice, • Support and develop Registered Managers, • Shape organisational strategy and service development, • Experience as an RI, Registered Manager, or senior leader in children’s residential care, • Strong knowledge of Ofsted regulations and safeguarding, • Proven ability to improve services and lead teams through change, • You’ll ensure every child receives safe, consistent, high-quality care, • You’ll empower managers and shape a positive, learning-focused culture All roles require robust safeguarding checks. You’ll be expected to uphold and promote the highest standards of child protection....

Cloud Engineer (GCP) £Up to £72,000 GBP Hybrid WORKING Location: London; Manchester; Leeds, Central London, Greater London - United Kingdom Type: Permanent Cloud Engineer - National Security Our client is a leading digital intelligence and national security consultancy, recognised among Glassdoor's Best Places to Work. As a Cloud Engineer, you will play a key role in delivering modern cloud-native solutions that support mission-critical national security programmes. Working within highly skilled, multidisciplinary teams, you'll design and implement innovative cloud architectures that enable organisations to collect, connect and understand complex data in high-trust environments. This is an exciting opportunity for a Cloud Engineer who thrives on solving complex challenges, enjoys working with cutting-edge AWS technologies, and wants to contribute to work that has real impact at national scale. Due to the nature of the role, you must be eligible to undergo both SC and DV Clearance. This means you must be a Sole-British National and you must have not left the UK for >30 Consecutive Days in the Last 5 Years. You'll have the opportunity to: • Design and build cloud-native architectures ...

Software Engineer – DV Salary: £55,000 - £80,000 DoE Location: Manchester – expect to attend site five days a week Clearance: Must hold current UK*C DV The company: Cyber Security and National Security technical consultancy. The company is large enough to offer stability, expert support and career progression while enabling you to work with a large degree of autonomy developing cutting edge solutions over a range of projects. Requirements: They are open to your background, but would expect you to have experience in some of the following tech stack and be proactive in learning new technologies. You will have a learning and development budget to support this. Python, Java, TypeScript, JavaScript React, Angular, React Kubernetes (k8s) Docker AWS, Azure Elasticsearch, MERN, Neo4J Benefits Excellent company benefits including significant pension contributions, BUPA, equity and training allowance. Application: I appreciate discretion is key and am happy to receive anonymised / heavily redacted CVs. I just need a broad overview of your situation and I can then facilitate a conversation with my clients who are within the intelligence community and hold high levels of clearance.

BI Developer Trustmarque | Remote (UK) | Full-time Are you passionate about turning data into meaningful insights that drive real business decisions? At Trustmarque, we’re looking for a talented BI Developer to join our growing data team and play a pivotal role in shaping how data is transformed, modelled, and consumed across the organisation. This is a fully remote role where you’ll sit at the intersection of data engineering and business intelligence, acting as the vital link between technical data pipelines and impactful business reporting. About the Role As a BI Developer, you’ll work closely with Data Engineers and Data Analysts to transform raw data into clean, structured, and analytics-ready datasets. You’ll design and maintain transformation pipelines, build robust semantic models, and deliver high-quality Power BI dashboards and reports that empower stakeholders to make confident, data-driven decisions. What You’ll Be Doing • Act as the key bridge between Data Engineering and Data Analyst teams, ensuring data is structured, documented, and ready for reporting, • Design and build scalable transformation pipelines within Microsoft Fabric, • Develop reusable, well-documented semantic data models optimised for Power BI, • Create and maintain engaging, interactive Power BI reports and dashboards, • Apply advanced techniques including DAX, Power Query, and row-level security, • Support and optimise data pipelines, transforming manual processes into automated, scalable solutions, • Collaborate with stakeholders to translate business requirements into data-driven solutions, • Implement data quality checks, validation rules, and monitoring processes, • Uphold data governance best practices across the BI layer, • Optimise performance of datasets and pipelines (e.g. incremental refresh, query folding, aggregations), • Conduct data audits to improve quality, security, and governance, • Maintain clear documentation of data flows, lineage, and transformations, • Strong hands-on experience with Microsoft Fabric (Pipelines, Dataflows Gen2, Lakehouse, OneLake), • Advanced Power BI skills (report design, DAX, Power Query, dataset management, governance), • Solid understanding of data modelling principles, including star schema design, • Strong SQL skills with a focus on performance optimisation, • Experience with ETL/ELT processes and data transformation workflows, • Knowledge of data warehousing concepts and architectures, • Understanding of data governance, including quality, security, and compliance, • Excellent problem-solving skills with the ability to analyse complex datasets, • High attention to detail and commitment to data accuracy, • Strong communication skills with the ability to work across technical and non-technical teams At Trustmarque, you’ll be part of a collaborative and forward-thinking environment where data is at the heart of decision-making. You’ll have the opportunity to work with modern technologies, influence data strategy, and deliver solutions that make a real impact.

Location • Remote, but requirement to meet up once a month for in-person collaboration day, • UK based About Akixi Akixi is a leading provider of SaaS analytics solutions for cloud-based communication platforms, helping service providers and enterprises gain actionable insights from their telephony and collaboration data. Our solutions span Microsoft Teams, Cisco BroadWorks, Webex Calling, and CRM integrations — delivering real-time and historical analytics that improve customer experience and business performance. We are expanding our platform to include advanced AI capabilities — voice and chat assistants, intelligent analytics, and predictive insights — and are seeking an AI Engineer to define and deliver this vision. Job Summary & Purpose Own and drive Akixi’s AI and ML strategy — from concept and architecture through hands-on prototyping and deployment — to embed intelligence into Akixi’s products and analytics platforms. As the AI Engineer, you will define and execute Akixi’s AI roadmap, combining leadership of architecture and engineering practice with hands-on development of prototypes and production features. You’ll partner with Product, Data, and Platform Engineering to design and integrate AI-driven capabilities such as voice/chatbots, natural-language analytics, and predictive models. This role balances strategic technical direction with hands-on implementation, ensuring Akixi’s AI initiatives deliver tangible business and customer outcomes. Key Responsibilities • Lead the definition and delivery of Akixi’s AI strategy and technology roadmap., • Architect scalable AI solutions integrated into Akixi’s SaaS analytics platform., • Prototype, develop, and integrate AI-driven components such as chatbots, voice assistants, ML models, and LLM-based analytics., • Apply prompt engineering and model-tuning techniques to optimize chatbot and LLM behaviour., • Conduct research, proof-of-concepts, and feasibility studies for emerging AI technologies., • Collaborate with Product Management to scope AI features and align them with business goals., • Partner with Data Engineering to operationalize models, manage training data, and implement monitoring and retraining pipelines., • Work closely with Development, DevOps, and QA teams to ensure smooth CI/CD integration and deployment of AI components., • Establish standards for AI code quality, ethics, and data governance., • Mentor engineers working on AI-related projects, fostering technical excellence and innovation., • Evaluate external AI vendors, tools, and frameworks for adoption or integration., • Stay ahead of developments in AI/ML, LLMs, and applied analytics, translating trends into practical opportunities for Akixi. Required Skills & Experience • 4+ years in software engineering, with at least 2+ years focused on AI/ML or data-driven product development., • Proven expertise in developing and integrating AI solutions such as chatbots, voicebots, ML models, or LLM-based analytics., • Strong proficiency in Python (preferred) and/or JavaScript/TypeScript., • Hands-on experience with AI frameworks (e.g. TensorFlow, PyTorch and/or LangChain) and LLM APIs (e.g. Azure OpenAI, OpenAI API, Anthropic and/or AWS Bedrock)., • Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms., • Deep understanding of prompt engineering and fine-tuning of large language models., • Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning., • Familiarity with cloud AI/ML services (e.g. Azure Cognitive Services, AWS SageMaker, and/or GCP Vertex AI)., • Experience deploying and monitoring AI workloads in CI/CD environments (e.g. Jenkins, Docker, Kubernetes, and/or AWS)., • Ability to design data pipelines, APIs, and microservice integrations supporting AI features., • Excellent problem-solving, communication, and cross-team collaboration skills., • Proven ability to lead technically while remaining hands-on in design and coding. Advantageous Skills & Experience • Experience with call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (e.g. BroadWorks, Webex Calling)., • Knowledge of data governance, model ethics, and MLOps practices., • Exposure to data visualization and predictive analytics for customer-experience metrics., • Advanced degree in AI, ML, Data Science, or related discipline. Why Akixi At Akixi, you’ll play a pivotal role in transforming how businesses understand and act on communication data. You’ll define and deliver the intelligence layer of a platform used by thousands worldwide — in an environment that values innovation, experimentation, and technical depth. We offer a collaborative culture, hybrid flexibility, and the opportunity to lead meaningful, high-impact AI initiatives from vision to production.

About the Role We’re partnered with a growing, data-led technology business that is scaling its data capabilities and investing heavily in how data is structured, accessed and used across the organisation. We are looking for a Data Analyst with experience in Analytics Engineering & BI Development with strong SQL expertise at the core of their skillset. This role sits at the intersection of data engineering and business intelligence, combining hands-on data transformation with impactful reporting and visualisation. You’ll play a key role in shaping how data is modelled, consumed and leveraged by teams across the business, enabling better and faster decision-making. The Opportunity This role is ideal for someone who: • Enjoys working deeply with data using SQL, • Wants ownership over how data is structured and delivered, • Is comfortable bridging technical and business teams, • Likes seeing their work directly influence commercial and operational decisions Key Responsibilities • Design and develop scalable data models within a cloud-based data warehouse, • Write, optimise, and maintain complex SQL queries for data transformation and analysis, • Build clean, reliable datasets to support reporting and analytics use cases, • Develop dashboards and reports using modern BI tools, • Translate business requirements into clear, user-friendly data outputs, • Partner with stakeholders across product, commercial, and operations teams, • Implement data quality checks to ensure accuracy and consistency, • Improve performance of queries, pipelines, and reporting outputs, • Identify opportunities to automate and streamline data processes What We’re Looking For Core Experience (Essential) • Strong SQL skills (this is critical) — proven ability to write complex queries (CTEs, window functions, optimisation, performance tuning), • Experience building and maintaining data models for analytical use, • Background in a BI / Analytics Engineering / Data Analyst type role, • Hands-on experience with at least one major BI tool (e.g. Tableau, Power BI, Looker, etc.), • Experience working with cloud data platforms (e.g. Snowflake, BigQuery, Redshift, Databricks), • Understanding of ETL/ELT processes and data transformation workflows, • Experience working with non-technical stakeholders and translating requirements Nice to Have • Experience with modern data transformation tools (e.g. dbt or similar), • Exposure to workflow orchestration tools, • Familiarity with version control (e.g. Git) Key Skills & Attributes • Highly analytical with strong problem-solving ability, • Excellent attention to detail, particularly around data accuracy, • Strong communication skills — able to explain complex data clearly, • Commercial awareness and ability to link data to business outcomes, • Proactive mindset with a sense of ownership, • Collaborative approach, working effectively across teams The Package • Up to £65K base salary, • Private Health and Dental, • Generous Pension scheme, • Income protection, • Many other great benefits... Why Join? • Opportunity to shape and influence a growing data function, • High-visibility role with direct impact on business decisions, • Modern data stack and strong investment in data capabilities, • Flexible working environment (remote or hybrid available), • Collaborative, forward-thinking culture, • Vast amounts of career opportunities

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

Role: Senior / National Account Manager - Convenience. As National Account Manager UK Convenience you will be responsible for a high value P&L customers for Myprotein. Business Development,Business Intelligence,Contract Negotiations,Revenue Growth,Corporate Account management,Partnership Managem

The Sales Operations Manager plays a critical role in driving revenue efficiency and scalability across the organization owning multi-channel demand generation market intelligence and analytics for divisions forming part of TransPerfect Games group such as. Implement dashboards for Sales Operations.

Senior Clinical Research Associates. IQVIA is a leading global provider of clinical research services commercial insights and healthcare intelligence to the life sciences and healthcare industries. Good Clinical Practice (GCP) and International Conference on Harmonization (ICH) guidelines.

Works with an array of connected departments to derive the latest planning intelligence from across the organisation. Responsible for the facilitation of planning forums that identify key capacity risks and recommend actions in order to deliver service level across all Operational areas. Exceptional

This will be in collaboration with Transport Market Sector Directors the Transportation Strategy & Growth Director and adjacent Market Sector Directors for example energy and water. Market Intelligence & Investment Development. Business Development,Sales Experience,Direct Sales,B2B Sales,Mar

Application Development Manager. The role covers application development coaching training and market regulatory and competitor intelligence. Identify areas for application development for Hach products and services with customers and the sales teams alike.

Working closely with engineering data and product teams the Platform Product Manager will drive the roadmap strengthen the platform architecture and identify opportunities to introduce automation and artificial intelligence to enhance functionality and efficiency. The Platform Product Manager will p

Lead Analytics Consultant Please make an application promptly if you are a good match for this role due to high levels of interest. Permanent | Remote (UK) | Occasional London Travel £75,000 - £105,000 + Bonus + Benefits Are you an experienced analytics consultant ready to lead the delivery of advanced analytics and business intelligence solutions for major UK organisations? This role blends hands-on technical expertise with consulting leadership. You'll work closely with clients to turn complex business challenges into scalable, cloud-based data solutions, while leading teams and ensuring high-quality project delivery. Responsibilities include; • Act as a trusted advisor to clients on data engineering and advanced analytics best practices, • Lead end-to-end analytics engagements, from discovery and requirements through to delivery, • Design and implement scalable, cloud-based data platforms and BI solutions, • Build intuitive dashboards and reporting solutions (Power BI or similar), • Develop and oversee data models, transformations, and ETL/ELT pipelines, • Architect robust, scalable data solutions aligned to business needs, • Collaborate with stakeholders to ensure outcomes deliver real business value, • Proven experience delivering cloud-based analytics and data engineering solutions, • Strong background in a client-facing consulting environment (consultancy or SI preferred), • Demonstrated experience leading teams or managing analytics project delivery, • Advanced skills in Python and SQL, • Hands-on experience with data integration tools (e.g. Azure Data Factory), • Familiarity with modern data platforms (e.g. Microsoft Fabric, Databricks), • Strong xrnqpay data visualisation experience (Power BI, Tableau, QlikView, etc.), • Deep understanding of data modelling, warehousing, and ETL/ELT processes, • Exposure to Big Data, Data Science, AI, or Machine Learning is a plus, • Must hold or be eligible for UK Security Clearance, • Remote-first working with occasional London travel, • Competitive salary, bonus, and benefits package, • Ongoing professional development and career progression opportunities

Senior Data Scientist Decisioning & Pricing Intelligence.

This is a bespoke, high-autonomy role designed for an engineer who excels in the 'front-end' of building services: site intelligence, client strategy, and technical delivery.

Senior Software Engineer Snyk | Intelligence (Remote, UK) About Snyk Snyk is a leader in secure, AI-powered software development, enabling millions of developers to build quickly while staying secure. Our AI-native Developer Security Platform integrates seamlessly into development workflows, helping teams find, fix, and prevent vulnerabilities across code, dependencies, containers, and cloud environments. Our mission is simple: empower developers to innovate securely in the AI era — increasing productivity while reducing risk. We operate with a strong set of values — One Team, Care Deeply, Customer Centric, and Forward Thinking — which shape how we build, collaborate, and stay ahead in a rapidly evolving landscape. Why this role? You’ll join a forward-thinking, AI-native team building a next-generation intelligence platform that protects customers in real time. This role sits at the heart of Snyk’s security capabilities — from advancing malware scanning to dramatically reducing intelligence delivery times from hours to minutes. Your work will directly impact how quickly and effectively customers can detect and respond to threats. If you’re excited about building scalable, foundational infrastructure and want to play a key role in securing open-source ecosystems and software supply chains, this is a rare opportunity to shape the future of developer security. What you’ll do • Design, build, and deliver high-quality, well-tested solutions to complex technical problems, • Own projects end-to-end — from ideation through to production and iteration, • Scale and harden distributed systems to meet growing demand and evolving use cases, • Contribute to operational excellence across reliability, performance, and observability, • Mentor and support engineers, helping to grow technical capability within the team, • A collaborative mindset — you enjoy solving problems with others and value diverse perspectives, • Strong ownership — you can lead projects from concept to production with confidence, • A pragmatic approach to problem-solving, including debugging both technical and organisational challenges, • A growth mindset — open to feedback and committed to continuous improvement, • Strong team orientation — you understand that success is shared, • Experience with event-driven architectures and distributed systems, • Familiarity with AI-native development workflows and tooling, • Exposure to security products and an understanding of customer pain points in this space

Contract AI-Native Software Engineer opportunity - £520 per day - Fully Remote - Outside IR35 If you’re already using AI to build, ship and improve software (not just experiment with it) this is a seriously exciting opportunity. Morson Edge are working with a team redefining how software is delivered using agentic workflows and multi-agent systems. This is a hands-on engineering role focused on building real, production-grade systems powered by AI. What you’ll be doing: • Designing and building AI-native, backend systems (Go / C#), • Orchestrating multi-agent workflows to accelerate delivery, • Implementing AI-assisted development practices across the lifecycle, • Building validation and quality frameworks for AI-generated code, • Working within existing platforms to introduce modern, agentic approaches What they’re looking for: • Strong backend engineering experience (Go and/or C#), • Experience with distributed systems & APIs, • Hands-on use of AI-assisted or agentic development workflows, • Understanding of testing, CI/CD, observability, • Comfortable working in fast-paced, evolving environments Why it’s interesting: • Work at the forefront of AI-driven software engineering, • High-impact role shaping how teams build software, • Blend of engineering rigour + cutting-edge AI practices, • Opportunity to work on real-world, production AI systems, • If you’re someone who sees AI as a core part of how software should be built going forward, I’d love to speak.

Stax is partnering with a venture-backed (Series A) AI company building advanced virtual agents designed to automate complex operational workflows for enterprise organisations. Following recent investment and strong early traction, the company is entering an exciting phase of growth and expanding its engineering team to support the next generation of its platform. Revenue increased by 400% in Q4 2025, and the company is targeting a further 4x increase in revenue as it continues to scale. The leadership team includes engineers and researchers from organisations such as Apple, Oxford University, and Cambridge University, bringing together deep technical expertise and world-class research backgrounds. Their platform enables organisations to deploy intelligent agents capable of learning, adapting, and executing real operational processes. At the heart of this vision is a platform that allows these agents to be trained, evaluated, and continuously improved as they interact with real-world workflows. The company is now hiring an AI Engineering Manager (Agentic) to lead the development of this core platform and help define the architecture behind the next generation of intelligent automation systems. This role will report directly to the CTO and lead a team focused on building and scaling the company’s agent platform. The Opportunity This is a senior technical leadership role focused on shaping the systems that enable intelligent agents to learn, evolve, and operate reliably in production environments. You will work closely with engineering and product leadership to define the technical direction of the platform while leading a team of experienced engineers responsible for building and scaling it. This is an opportunity to play a key role in defining the architecture behind a rapidly evolving AI platform and to help shape the future of intelligent automation. Technology Environment The platform sits at the intersection of AI systems, automation, and scalable platform engineering, typically involving technologies such as: • Large language model–driven systems, • AI-assisted automation and orchestration, • Intelligent workflow systems, • Data pipelines and evaluation frameworks, • Distributed platform architectures What We’re Looking For Core Experience • Strong experience building complex software platforms or distributed systems, • Experience working with AI-driven or automation-focused products, • Ability to define and deliver technical vision for a platform or product area, • Experience leading or mentoring senior engineering teams, • A strong systems-thinking and platform engineering mindset Additional Experience • Experience in high-growth technology environments, • Exposure to enterprise-scale software systems, • Familiarity with automation, workflow platforms, or AI evaluation approaches Why This Role Matters This platform sits at the centre of how the company’s technology evolves. Every system built and every workflow automated contributes to improving the intelligence and capability of the platform. Building the right architecture will enable the product to scale efficiently while continuously improving over time. This role offers the opportunity to shape that foundation and have a meaningful impact on the future direction of the technology. Apply If you're excited about shaping the architecture behind next-generation AI platforms and tackling complex technical challenges, we’d love to hear from you. Apply directly or reach out to Stax for a confidential conversation. Due to the high volume of applications we receive, we may not be able to respond to every applicant individually. However, we will endeavour to contact candidates whose experience most closely aligns with the requirements of the role.

Scrum Master at ProFinda ___ is a fast-growing, innovative SaaS company revolutionizing how organizations understand, mobilize, and manage their workforce and skills. Our platform uses cutting-edge AI to match people to the right projects and opportunities, enabling unprecedented agility and efficiency for our global client base. We work with some of the world's largest and most complex organizations, and our success is directly tied to the deep, trusted relationships we build with them. We are seeking a proactive Scrum Master to serve as the operational heartbeat of our development cycles. You will be responsible for looking around corners to mitigate risks before they impact delivery, using data-driven metrics to assess technical execution, and ensuring the roadmap is delivered successfully and predictably. We are looking for a pragmatic problem-solver with the technical literacy to work with engineering teams, someone who thrives on removing the systemic obstacles that slow us down, and who is committed to a culture of high-velocity and high-quality delivery. In this position you will be: • Communicating with stakeholders: You would need to communicate with stakeholders regularly and keep them informed about the progress of sprints, raising risks early and often. This includes looking around corners, facilitating tradeoff discussions, providing regular updates, answering questions and addressing any concerns they may have., • Facilitating sprint planning: You would be responsible for facilitating sprint planning meetings and ensuring that the team’s capacity is aligned on the goals and objectives for each sprint., • Facilitate Backlog Refinement: As a Scrum Master, collaborate with Product Managers and Engineering teams to ensure the backlog is refined, transparent, and aligned with the product goal and roadmap., • Conducting daily stand-up meetings: You would need to conduct daily stand-up meetings to ensure that everyone is aware of the progress being made and to identify any potential roadblocks that need to be addressed. Proactively identify and lead the resolution of systemic organizational obstacles that hinder team flow., • Monitoring progress and tracking metrics: You would be responsible for monitoring progress throughout the release cycle and tracking metrics such as velocity, burn-down charts and sprint progress to assess and improve technical execution., • Facilitate sprint retrospectives: to drive continuous improvement by analyzing the previous sprint’s processes, tools, and team dynamics. Determine high-value improvements to be implemented., • Agile Champion and Coaching: You will need to cultivate and champion agile best practices for the teams, and be able to explain the “why” behind the practices. In some cases, you will also help coach teams to help with adherence., • Support release process: As a Scrum Master you will support our release cycles, ensuring that development items your teams are ready to ship are included in the appropriate release. What you need to be successful in the role you need: • Excellent communication skills: You need to be able to communicate effectively with all stakeholders, including team members, and senior management., • Strong leadership skills: As a Scrum Master, you need to be able to lead the team and facilitate decision-making processes., • Flexibility and adaptability: You should be able to adapt to changing requirements and priorities and adjust delivery accordingly., • Conflict resolution skills: You should be able to effectively manage conflicts that may arise within the team or with stakeholders., • Continuous improvement mindset: You should be committed to continuous improvement and strive to improve the release process with each iteration., • Operational Foresight: A proactive mindset to "look around corners," identifying and mitigating systemic risks before they impact delivery., • Technical Literacy: Deep understanding of the SDLC and technical execution, enabling peer-level collaboration with engineering teams., • Data-Driven and Detail Oriented: Expert use of metrics (Velocity, Burn-down, Cycle Time) to provide transparent reporting and drive high-velocity delivery. You need to be detail-oriented and have a keen eye for quality to ensure that work items meet all necessary requirements., • High-EQ Facilitation: Strong emotional intelligence to navigate complex stakeholder trade-offs and discussions that align teams., • Pragmatic Problem-Solving: A commitment to continuous improvement, balancing agile best practices with the flexibility required in a fast-growing SaaS environment Experience & Qualifications: • 5+ years of experience as a Scrum Master or Agile Lead, specifically within a fast-paced SaaS environment., • Certified Scrum Master (CSM), Professional Scrum Master (PSM II/III), or equivalent Agile certification is preferred., • Proven track record of supporting complex software release cycles and collaborating on AI or data-driven products., • Advanced proficiency in Agile management tools (e.g., Jira, Notion) for workflow automation and reporting., • Strong grasp of project management principles to ensure alignment across multiple cross-functional teams. Our Culture & Values: At ProFinda, we know that a great culture is something that develops naturally on the back of strong, clearly defined company values and leadership. This culture is what motivates and retains talented employees. Our values are true to ProFinda and are reinforced among our employees daily, translating to a culture that makes the entire team proud. 🚀 Purpose Driven Work – We’re engaged, excited, and focused on making a meaningful impact. 👨 💻 Transparency & Agility – Great communication, self-driven attitudes, and solution mindsets are at our core. 💓 Trust & Autonomy – We take ownership, work independently, and support each other. 💡 Collaboration & Success – We believe teamwork fuels innovation and shared achievements. 🪴 Continuous Learning & Growth – A dynamic environment where everyone can reach their full potential. 🧘 Work + Life Balance – We value a healthy balance, knowing that well-being and performance go hand in hand. A bit about us: Though our backgrounds are diverse, we share a belief - employee skills and a knowledge lens can lead to workforce productivity and quality, also favouring employee personal development and mobility. That common inspiration keeps us aligned with our purpose as a global team. The distance doesn't slow us down. We keep the engine humming from our homes, co-working spaces, and coffee shops. Whether collaborating through Slack, video calls, our team knows how to keep connected, it’s what we do best! At ProFinda, inclusivity fits our core values of aspiring to create an open-minded workforce, where our employees feel comfortable to be themselves. We know that creating diverse teams is the most fundamental component to our success and this success can only be achieved by a collective of people with different backgrounds, experiences, personalities, talents, ideas and opinions. We hire fantastic, innovative team players – if that sounds like you, you will find a home at ProFinda!

Wenham Carter is proud to be supporting a global leader in industrial software in the search for a Director, AI Product - Industrial Intelligence & Platform. This is a high-visibility leadership role shaping how advanced AI is embedded across industrial software products used by some of the world’s most critical infrastructure and asset-intensive organisations. You will sit at the intersection of advanced AI capability and industrial product strategy - defining how cutting-edge machine learning and foundation models translate into scalable, safe, and valuable real-world applications. The opportunity This role is responsible for defining and driving the technical truth behind AI-powered products - including model choices, system logic, and AI capability design from early concept through to production. You will play a central role in shaping the AI product vision and roadmap across a global industrial software portfolio, balancing innovation (0→1) with lifecycle product maturity and enterprise-grade deployment realities. This is a rare opportunity to influence how AI is embedded into complex industrial environments at scale. Key responsibilities • Define and own the technical direction (“technical truth”) of AI capabilities across industrial products, • Shape AI product strategy, roadmap, and requirements in partnership with engineering, data science, and product teams, • Translate emerging AI technologies into viable industrial product opportunities, • Drive AI product requirements (PRDs), prioritisation, and architecture decisions based on customer and domain needs, • Evaluate trade-offs across model performance, data constraints, cost, safety, and scalability, • Identify and mitigate technical, operational, and regulatory risks in AI systems, • Define and track AI product metrics to assess performance and inform roadmap decisions, • Ensure AI capabilities are aligned with industrial safety, security, governance, and compliance requirements, • Mentor and guide junior team members and contribute to a culture of innovation and rigour Key requirements • 10+ years of experience in AI/ML product management or technical product leadership, including 6+ years in senior leadership roles, • Strong technical foundation with recent, hands-on exposure to AI/ML systems (including shipping or influencing production systems), • Deep understanding of modern AI paradigms including foundation models, multi-modal systems, agent-based architectures, and RAG approaches, • Strong Python capability and familiarity with modern ML frameworks (PyTorch, TensorFlow, JAX), • Proven experience balancing innovation (0→1) with mature product lifecycle management, • Strong track record operating in complex, regulated, or industrial environments, • Ability to translate AI capabilities into practical, high-value enterprise use cases, • Exceptional communication and stakeholder influence skills across technical and executive audiences, • Master’s degree in Computer Science, Engineering, Physics or related field (PhD preferred) Why this opportunity? This is a chance to define how AI is productised within one of the most important industrial software ecosystems globally. You will not simply be reacting to trends, you will be shaping how AI is evaluated, prioritised, and embedded into real industrial systems where reliability, safety, and performance matter. This is a role for someone who can operate comfortably between deep technical AI understanding and strategic product leadership, and who wants to see their decisions directly influence real-world industrial outcomes at global scale. To stay updated on roles like this, follow me here on LinkedIn and send me a connection request.