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ABOUT VIVIENNE WESTWOOD Vivienne Westwood is one of the most iconic British fashion brands, renowned for its heritage, innovative design, and commitment to culture and activism. We care deeply about our people and the environment, and our core values - Gaia, Quality not Quantity, Activism, Culture & Heritage - guide us daily. If you share our passion for creativity, sustainability, and innovation, we’d love to hear from you. ABOUT THE ROLE The People Manager is responsible for the overall effectiveness of the People function. Reporting to the Global HR Director, the role balances strategic advice with hands-on operational leadership and accountability for a generalist People team. Working closely with senior stakeholders across the business, the role provides trusted guidance on employee relations, organisational change, workforce planning, performance, reward, wellbeing, and People operations. It also involves direct support to the Global HR Director on People priorities, complex cases, and strategic initiatives as required. The focus is on delivering consistent, high-quality People practices across the employee lifecycle within a creative organisation. This role is full time on a 1 year FTC, and based onsite at the Head Office in Battersea, London. KEY RESPONSIBILITIES Strategic People Leadership • Support the Global HR Director to shape and deliver the People strategy, acting as a senior advisor on organisational design, workforce planning, People risk, and culture., • Hold accountability for the compliant and consistent delivery of the full employee lifecycle across the organisation, ensuring robust governance of People policies and practices in line with UK employment legislation and best practice., • Ensure effective operational delivery through the People team across contracts, onboarding and offboarding, recruitment, systems, data integrity, reporting and internal People communications, maintaining clear standards, quality control and alignment with workforce plans set by the Director., • Ensure effective delivery of performance and capability frameworks through the People team, including probation management, performance reviews and performance improvement processes., • Oversee the development and delivery of in-house training programmes, ensuring alignment with business needs and capability gaps., • Manage the effective use of the LMS platform, including content creation, reporting, compliance tracking and continuous improvement., • Oversee relationships with external training providers, ensuring quality, value for money and alignment with development priorities., • Ensure accurate and timely provision of People data and reward inputs to Finance and Payroll, maintaining robust internal checks and controls within the People team., • Oversee the administration of Director-approved pay, bonus and retail commission frameworks, ensuring information provided for calculation and payment is complete and accurate., • Support and provide oversight to the People team in the management of health-related cases, including disability, reasonable adjustments, Occupational Health referrals and Equality Act considerations, ensuring fair, compliant and risk-aware outcomes., • Ensure appropriate frameworks and guidance are in place to support employee wellbeing, inclusion and health-related risk management., • Partner with Office Management on People-related risk and health and safety matters., • Ensure effective delivery of People-related support to CSR initiatives through the People Leads, including provision of workforce data, policy alignment and employee volunteering coordination., • Maintain oversight of the accuracy and integrity of People data provided for sustainability and reporting purposes., • Work closely with senior stakeholders and cross-functional leaders across the UK, EU, US and Thailand to support the delivery of People initiatives, organisational change and risk mitigation., • Lead and line manage the People team, setting clear standards, priorities and accountability, ensuring delivery aligns with strategic direction set by the Director., • Maintain full oversight of team activity and output across all People functions, providing guidance, quality control and escalation management where required., • Develop team capability across employee relations, stakeholder management and pragmatic problem-solving, balancing effective delegation with hands-on support where necessary., • Contribute flexibly to any other ad hoc tasks and projects. (Please note this is not an exhaustive list of duties and you may be required to perform additional duties to fulfil the requirements of the role) PROFILE & KEY SKILLS • 5+ years in a senior generalist HR/People role within a complex or multi-disciplinary organisation., • Proven capability leading complex employee relations matters, organisational change, and People risk., • Strong experience overseeing the full employee lifecycle, HR operations, and People governance., • Demonstrated experience managing and developing HR/People teams, including delegation, coaching, and quality assurance., • Highly effective communicator, able to influence, challenge, and provide clear, pragmatic advice to senior stakeholders and managers., • Adaptable and resilient, with the ability to manage multiple competing priorities and respond effectively to changing business needs., • Solid working knowledge of UK employment legislation and HR best practice., • Experience overseeing reward, payroll, benefits, and performance frameworks, with appropriate governance and controls., • Exposure to immigration, right-to-work, and sponsorship processes., • Confident stakeholder manager with experience partnering senior leaders across functions and geographies., • Comfortable working with People data, systems, and reporting to inform decisions and improve capability. BENEFITS • Staff discounts, • Health & Wellbeing support (includes Private Medical Health Insurance, EAP, Gym Discounts, Access to Financial Planning Service, etc.), • Perkbox Discounts and Wellness Hub, • Cycle to work scheme, • Generous annual leave allowance, • Pension Scheme, • Training and hands-on experience, • Opportunities to build new skills and gain valuable industry knowledge Applications are reviewed on an ongoing basis, so we recommend applying early to avoid missing out. Vivienne Westwood is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, colour, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by local government laws. For our privacy statement please visit this ___

Early Years BSL Teaching Assistant - Kings Cross2 Days per Week (Thursday & Friday) | Long-Term Role | ASAP Start Are you passionate about Early Years education and confident using British Sign Language? This is a genuinely rewarding opportunity to join a highly respected specialist primary school for deaf pupils in Camden. The school is known for its nurturing, child-centred approach and its commitment to ensuring every pupil feels confident, understood, and empowered from their very first days in education. They are seeking a dedicated Early Years BSL Teaching Assistant to join their team two days per week on a long-term basis, starting as soon as possible. Why This Role Is Special This isn't just another TA position. You'll play a vital role in helping children aged 4-5 build the foundations of communication, confidence and learning through British Sign Language. You will be instrumental in ensuring every child can fully access their early education in a supportive, language-rich environment. Your Role Will Include: * Supporting children aged 4-5 as they begin their education journey * Using BSL throughout the day to support learning, routines and play * Assisting with early literacy, numeracy and creative activities * Encouraging communication, independence and social developme...

A growing and well established construction consultancy is seeking a motivated building surveyor to join their expanding team. This opportunity is suited to a building surveyor looking to develop strong technical experience across refurbishment, cladding remediation and building safety projects. The successful building surveyor will gain exposure to a wide range of sectors while developing core building surveying skills within a structured consultancy environment. This role offers clear progression and hands on project involvement for a building surveyor at an early stage of their career. The Company? The successful building surveyor will be joining a consultancy that has experienced consistent growth and continues to invest in the development of its building surveying team. Working across a range of refurbishment, fire safety and remediation projects, the consultancy delivers services across multiple property sectors. The Building Surveyor will work closely with experienced surveyors and project teams, gaining practical exposure while contributing to a growing project pipeline. The business provides structured training, mentoring and ongoing professional development to support career progression within building surveying. The Role As the building surveyor you will support senior surveyors and project teams across a variety of professional and project instructions. The role will include: * Assisting with building surveys, def...

Phonics Lead | Newham | September 2026 Are you a passionate Phonics Lead looking to make a real impact on early reading development within a supportive and high-achieving Primary School? A welcoming primary school in Newham is seeking an experienced and dedicated Phonics Lead to join their team. If you are committed to driving literacy progress and supporting both pupils and staff, this Phonics Lead role offers an exciting opportunity to lead on phonics across the school. The Role | Phonics Lead • Oversee and deliver high-quality phonics teaching across Key Stage 1., • Provide training, guidance, and support to staff to ensure consistent phonics practice., • Monitor pupil progress, analyse data, and implement targeted interventions., • Collaborate with colleagues to develop a whole-school approach to early reading., • Lead and coordinate phonics assessments and reporting.Why Join This School | Phonics Lead, • Supportive and inclusive school community with strong leadership., • Excellent resources and well-equipped classrooms., • Opportunities for professional development and leadership experience., • Clear pathways for career progression within the school., • One of the top rated Primary Schools in East London with excellent academic results. What We’re Looking For ...

Strategic Programme Lead – Large grocery / homeware client £1000 per day 12 month contract Hybrid working - London Based Context / business overview Our client is embarking on a multi-year growth and transformation journey to deliver a new North Star centred on mission-led, digital-first customer experiences and significant revenue growth. My client is the strategic partner helping to define and deliver this agenda across experience, data, technology, loyalty and new growth plays. The Strategic Programme Lead is my clients senior leader for this account-wide programme – responsible for turning the North Star and growth ambition into a coherent, sequenced programme that delivers measurable value. Role purpose / mission To own and lead the digital growth programme end-to-end, defining the growth roadmap, aligning senior stakeholders around it, and orchestrating and client teams to deliver sustained customer and commercial impact. This role holds the single, executive view of the programme: where value comes from, how it will be unlocked, and how the organisation needs to change to make it stick . Key responsibilities / accountabilities Strategy & roadmap • Translate the North Star and commercial targets into a multi-year growth roadmap, with clear phases, outcomes and investment., • Maintain and evolve the programme portfolio – adding, shaping or retiring initiatives based on evidence, performance and external change. Value, scope & prioritisation • Own the programme value case (revenue, customer metrics, cost/eMiciency) and ensure each major initiative has a clear line of sight to that value., • Lead trade-oM decisions on scope, phasing and investment, balancing ambition, risk, capacity and dependency on client group initiatives. Executive governance & decision-making • Shape and chair the SteerCo agenda, focusing on decisions and options, not status reporting., • Ensure risks, dependencies and structural issues are surfaced early, with clear options and recommendations for senior stakeholders. Cross-programme orchestration • Align work across experience, data, CRM/loyalty, operations and new growth plays so they reinforce each other rather than compete., • Coordinate with client Tech, Supply Chain and other strategic programmes to avoid duplication and manage integration points. Client partnership & influence • Act as my clients principal strategic partner to client leadership on digital growth., • Challenge and support senior stakeholders on where to focus, how fast to move and what to stop, using data and insight. Leadership of team • Build, lead and develop a multi-disciplinary programme team across strategy, CX, CRM, data, media, engineering and change., • Set expectations, ways of working and culture that support high performance and constructive challenge. Scope & scale • Programme scale: multi-year, multi-million transformation covering clients digital experience, data & analytics, CRM/loyalty and supporting technology., • Team footprint: leadership of a cross-functional Merkle team (typically 20–50+ people across disciplines onsite, near-shore, oM-shore) plus coordination of client and third-party teams., • Decision remit: significant influence over programme investment, prioritisation and sequencing, within an agreed commercial framework., • Impact: direct impact on a material share of clients revenue growth and customer performance over the next 3–5 years. Experience requirements • Significant experience (c. 10+ years) leading large-scale digital / data / eCommerce / CRM transformations for major brands., • Proven track record as a Programme Director / Transformation Director / Portfolio Lead working with C-suite stakeholders., • Exposure to retail, grocery or fashion strongly preferred; understands trading, digital, data, loyalty and ops dynamics., • Experience within a consulting, agency or SI environment, orchestrating multi-discipline teams and partner ecosystems., • Demonstrable experience managing multi-million budgets, complex dependencies and high-stakes governance. Skills & competencies • Strategic thinking: can connect customer insight, commercial levers and operating constraints into a clear transformation thesis., • Executive influence: able to frame choices and trade-oMs for senior leaders; confident in high-stakes conversations., • Portfolio & programme leadership: strong grasp of prioritisation, phasing, risk management and cross-programme orchestration., • Commercial acumen: understands P&L drivers, investment cases and how to track value realisation., • People leadership: builds diverse, high-performing teams; creates clarity and alignment; handles conflict constructively., • Comfort with ambiguity: can lead through incomplete information, course-correcting as evidence emerges. Key relationships & reporting lines Client stakeholders: • Client Exec Sponsors (e.g. Digital Director, CCO, CMO, CIO/CTO, Chief Data OMicer)., • Senior leaders in Commercial, Marketing, Data & Analytics, Technology, Operations, Finance. External / partners: • Client programme leaders, key technology and platform vendors, other consulting partners.

ECT Teacher - Secondary Schools - North London • ECT Teacher jobs in North London, • Secondary school roles only, • September start opportunities, • Long-term and permanent positions available Are you an Early Career Teacher (ECT) looking to secure your first role in a secondary school? We are a specialist education recruitment agency working with a range of secondary schools across East London seeking ambitious and motivated ECT Teachers for September starts. We partner with supportive schools that offer structured ECT induction programmes, strong mentoring, and clear pathways for career progression. Role Overview - ECT Teacher, North London As an ECT Teacher, you will join a secondary school where you can develop your classroom practice, gain valuable experience, and build confidence in your subject specialism. Opportunities are available across a range of subjects including English, Maths, Science, Humanities, and MFL. Key Responsibilities • Plan and deliver engaging lessons in line with the national curriculum, • Support student progress across KS3 and KS4 (KS5 opportunities available), • Work closely with experienced teachers and mentors, • Contribute to a positive and well-managed learning environment, • Engage fully with the ECT induction programme

AI Lead (Robotics) Up to £200k base + equity About This is an early-stage robotics company building the intelligence layer for industrial machines – forklifts, cranes, excavators and other heavy equipment. The approach is pragmatic: start with remote teleoperation to generate real-world operator data at scale, then train Vision-Language-Action models toward increasing autonomy. You’d join early to lead development of the learning systems powering that autonomy, working closely with the CTO. What you'll do • Lead development of the autonomy stack powering industrial machines, • Adapt and fine-tune existing Vision-Language-Action models (e.g. Pi0.5-style architectures) to real-world industrial robotics tasks, • Design training pipelines using real-world operator data, • Apply imitation learning to achieve reliable task automation, • Explore reinforcement learning approaches to improve success rates over time, • Work closely with robotics and platform engineers to turn models into deployed systems What you'll need • Strong background in machine learning with hands-on model development, • Experience building ML systems in real products, not just research environments, • Practical understanding of imitation learning or reinforcement learning, • Ability to prioritise pragmatic solutions over academic exploration, • Experience shipping ML-powered features in production environments, • Robotics experience is helpful but not mandatory Shortlisted candidates will be contacted within 48 hours.

👷 Founding Engineer 📍 Central London 💸 Up to £200k + Founding Equity We’re partnering with an ambitious Generative AI startup building cutting-edge Voice AI products designed to redefine how humans interact with machines. The company is led by Oxford and Cambridge educated founders who have collectively achieved three successful exits, and they’re now building their most ambitious venture yet. You’ll be joining a small group of experienced founding engineers from some of London’s top startups, working at the frontier of Generative AI and Voice AI systems. This is a true zero-to-one environment where engineering decisions directly shape the product and company trajectory. 🚀 The Role We’re looking for engineers who don’t wait for tickets to tell them what to do. The kind who enjoy diving into messy problems, speaking to real users, spotting bottlenecks early, and designing solutions that actually ship. If ambiguity energizes you, ownership feels natural, and you want real influence over product and technical direction, you’ll feel very at home here! 💼 Requirements • 4+ years building full-stack applications with Python/JavaScript/TypeScript, • Experience working in a fast-moving, high-agency engineering environment, • Computer Science, Engineering, or STEM degree from a top-tier university, • Strong product instinct and ability to operate in early-stage environments 💰 Package • Up to £235k base salary, • Meaningful founding equity, • Wide range of benefits 👕🏖️❤️🚗, • Opportunity to work closely with repeat founders building their 4th successful company, • The chance to build next-generation Generative AI and Voice AI technology from the ground up If you want to build world-changing Generative AI products with a world-class founding team, let’s talk 🚀

Senior Data Engineer London | Hybrid | AI-Native Consulting Environment £80,000-£90,000 + package Our client is a fast-growing, AI-native, engineering-led consultancy building advanced semantic, ontology-driven and agentic AI systems. As they deepen their data engineering capability, they are seeking a senior-level Data Engineer to design and operate high-fidelity, ontology-aligned data foundations that power knowledge graphs, reasoning systems, retrieval layers and AI products. This is a strategic engineering role for someone who sees data not simply as pipelines and tables, but as structured, semantically coherent knowledge that underpins intelligent systems. The Purpose of the Role You will build production-grade data pipelines explicitly aligned to ontologies and semantic models. Your work will ensure that entity definitions, relationships, taxonomies and domain constraints are faithfully represented in data flows, making them reasoning-ready and AI-consumable. Working within a senior, cross-functional delivery model (consulting, ontology and engineering), you will play a foundational role in building robust semantic layers and enabling high-value AI systems for clients. Key Responsibilities Data Pipeline Engineering (Semantic & Ontology-Aligned) • Design, build and maintain ETL/ELT pipelines aligned to ontology and knowledge graph structures, • Implement transformations that respect entity models, relationships, taxonomies and domain constraints, • Apply semantic enrichment patterns including mapping, harmonisation, linking and feature extraction, • Deliver high-quality, structured data to downstream AI systems, agents, retrieval layers and decision engines Ontology & Knowledge Graph Collaboration • Translate conceptual ontologies into implementable schemas and data flows, • Partner with ontology architects on entity modelling, semantic definitions, metadata and lineage, • Deploy pipelines into ontology-aware platforms (e.g. graph databases, semantic layers, Foundry-style systems), • Ensure semantic compliance, data integrity and reasoning-readiness Data Quality, Observability & Lineage • Implement robust data quality frameworks (validation, profiling, anomaly detection), • Build observability into pipelines (lineage tracking, logging, freshness monitoring, schema drift detection), • Ensure alignment with governance, security and industry standards AI Enablement & Data Serving • Build high-quality datasets for retrieval pipelines (RAG), embeddings and conversational agents, • Create data foundations supporting decision engines, reinforcement learning and value measurement, • Partner with AI engineers to operationalise pipelines for LLM workflows and agentic systems Standards, Documentation & Reusability • Produce clear documentation for data models, schemas, ontologies and lineage, • Codify semantic ETL patterns and reusable modelling templates, • Contribute to internal accelerators, engineering standards and playbooks Experience & Technical Requirements We are looking for strong data engineering fundamentals combined with demonstrable semantic and ontology experience: • 5–8 years’ experience in data engineering, data platform development or data-intensive systems, • Strong SQL and Python for scalable data transformations and services, • Experience with at least one major cloud platform (AWS, Azure or GCP), • Hands-on experience with semantic or ontology-driven data models, including:, • Graph databases (e.g. Neptune, Neo4j, Blazegraph, Stardog, TigerGraph, Foundry, Timbr), • RDF/OWL modelling, SHACL validation or ontology tooling, • Semantic ETL and ontology mapping pipelines, • Knowledge graph construction, enrichment and query patterns, • Experience operationalising pipelines for AI systems, LLM workflows or retrieval ecosystems, • Familiarity with modern data tooling and platform engineering practices, • Comfortable working in iterative consulting delivery environments with evolving requirements Behavioural Attributes • High agency – independently drives complex workstreams end-to-end, • Structured thinker – brings clarity and rigour to ambiguous, messy data domains, • Collaborative – works effectively with ontology architects, AI engineers and consultants, • Quality-driven – prioritises correctness, observability, maintainability and semantic integrity, • Clear communicator – able to explain semantic concepts and data reasoning to non-technical stakeholders, • Low ego, high ownership – focused on outcomes and value creation What Success Looks Like • You deliver clean, trustworthy, semantically aligned data ready for ontologies and AI layers, • Ontology architects rely on your pipelines for entity consistency and semantic accuracy, • AI engineers build faster because your data structures and retrieval layers are reliable and predictable, • Your semantic ETL patterns and modelling templates are reused across engagements, • Clients trust your clarity, rigour and dependability in data work underpinning high-value AI systems, • Your work becomes foundational to the firm’s semantic and agentic engineering capability Why Join • Senior-heavy, engineering-led culture with deep focus on ontologies, knowledge graphs and AI systems, • Early-stage growth environment backed by significant investment and strong market traction, • High autonomy, low bureaucracy and meaningful system-building responsibility, • Opportunity to shape internal standards, accelerators and AI-native products, • Clear commitment to responsible AI and widening access to advanced technologies, • Flexible working model with a modern Central London presence, • Comprehensive health, wellbeing and pension benefits This is an opportunity to help define how semantic data engineering enables next-generation AI systems, within a firm where clarity, technical depth and real-world outcomes matter. If you are an experienced Data Engineer ready to work at the intersection of ontologies, knowledge graphs and AI, we would welcome a confidential conversation.

HDD & Outfall Lead – Teesside (Carbon Capture Project) Location: Redcar | Competitive Day Rate | Outside IR35 | 12 Months Location & Contract • Based in Redcar (Teesside) with occasional travel, • Competitive day rate – Outside IR35, • 12-month contract, • Immediate start available Ceto Talent are supporting a major Carbon Capture & Storage (CCS) project in Teesside and are looking for an experienced HDD & Outfall Lead to take ownership of a critical landfall package. This is a key role on a high-profile energy transition project, focused on delivering horizontal directional drilling (HDD) and nearshore/outfall works as part of the wider infrastructure programme. The Role You will be responsible for managing the full HDD scope from early-stage coordination through to site execution and completion, working closely with subcontractors, engineering teams, and project stakeholders. Key responsibilities include: • Managing HDD subcontractors, including progress, technical and risk review meetings, • Overseeing site works from mobilisation through to drilling, testing and demobilisation, • Reviewing design documentation, installation procedures and as-built records, • Acting as the key interface across engineering, HSE, quality and other contractors, • Leading reporting into installation and project review meetings, • Ensuring delivery is aligned with programme, safety and project requirements What we’re looking for • Proven experience delivering HDD construction scopes on major infrastructure or energy projects, • Background in landfall, nearshore or subsea interface works, • Strong contractor management and site leadership experience, • Ability to review and challenge technical documentation and methodologies, • Comfortable in a site-based, high-responsibility role If you are interested, please call or email Jasmine White at Ceto Talent via WhatsApp/Phone +442039 66 66 52 | HDD | Horizontal Directional Drilling | pipeline landfall | landfall installation | nearshore construction | offshore to onshore interface | shore crossing | trenchless installation | pipeline installation | subsea pipeline | onshore pipeline | marine construction | coastal engineering | outfall installation | microtunneling | directional boring | pullback operations | pipe stringing | welding coating | hydrotesting | pipeline commissioning | dredging | shore approach | beach crossing | HDD rig | drilling fluids | mud systems | reaming | pilot hole drilling | geotechnical investigation | seabed surveys | installation methodology | construction methods | EPC contractor | offshore construction | oil and gas pipeline | carbon capture pipeline | CCS infrastructure | subsea engineering | installation procedures | as-built documentation | subcontractor management | project execution | site operations

Founding Applied AI Engineer WilsonAI is building Cursor for lawyers - helping them review, negotiate, and manage contracts with unprecedented speed and accuracy. Weʼre backed by Nomad Ventures and Autopilot, and raised a $1.7M pre-seed round at the end of 2024. Since then, weʼve stabilised our product with early customers, beaten competitors in head-to-head pilots with teams of hundreds and $100Ms in revenue, and scaled via founder-led sales to multi–six-figure revenues - 50X growth since the start of the year. Weʼve been featured in The Lawyer, Artificial Lawyer, and more. Weʼre at the very beginning of the opportunity to transform the $1 trillion legal industry with AI, and weʼre building an elite team to do it. The Role Weʼre looking for an exceptionally driven and smart Applied AI Engineer. Youʼll work very closely with our CTO, across both customer-facing roles as well as deep technical buildouts. You will work very hard, get your hands dirty, and own tasks end-to-end with limited direction. In return, youʼll gain rare exposure to what it takes to scale an AI startup at the ground level, and see what it takes to win. This role will be demanding. What Weʼre Looking For • Strong computer science fundamentals, exceptional clarity of thought, and sharpness in problem solving., • Evidence of personal agency in driving toward net optimal outcomes., • Strong machine learning priors, ideally with experience training ML models for production use-cases., • Ability to hold large, complex systems in working memory and reason clearly about mechanics and failure-modes., • Attention to detail. Code is 15., • Gritty, fast learner, self-directed, and eager to progress much faster than peers. Are you ready? • We are at the cusp of a technological revolution in the legal industry., • We are optimising for speed, and seeking those fast enough to come with us., • This is your opportunity to be at the center of a technological revolution in the legal industry., • If you're ready to challenge yourself, grow exponentially, and make a lasting impact, we want to hear from you.

Manufacturing/AI Startup | London (on-site) Compensation: Up to £150k + equity package About This is a VC-backed startup rebuilding manufacturing from first principles. The mission is simple: re-industrialise the West. Today’s supply chains are slow, fragile, and opaque. This team is building a system where production is local, fast, and software-driven. They’re not adding software to legacy factories. They’re rebuilding the entire stack – treating manufacturing like a distributed system, not a series of manual processes. The team is ~15, heavily engineering-led. You’ll work directly with the shop floor – code shipped in the morning can control machines the same day. What you'll do • Build a real-time orchestration system that plans and routes production across factories, • Design deterministic systems that operators can understand and trust, • Integrate AI agents to automate decisions like order splitting, routing, and material planning, • Develop core products from scratch – scheduling, inventory, and production systems, • Improve routing and planning through data, feedback loops, and model iteration, • Work directly with operators to turn real-world problems into shipped product What you'll need • 2–10 years of experience building and shipping production systems, • Strong academic background in a STEM discipline, • Generalist across backend, infrastructure, and data systems, • Strong coding fundamentals (TypeScript stack, but not required), • Experience running systems in production (cloud, reliability, debugging), • Comfortable operating in ambiguous, early-stage environments, • Able to move quickly and pick up unfamiliar problems fast, • Strong problem-solving – can turn messy real-world constraints into working systems, • Evidence of working through genuinely hard problems This is closer to building a distributed systems platform for factories than traditional manufacturing software. Shortlisted candidates will be contacted within 48 hours.

I’m working with a well-backed, early-stage company in London building personalised cancer vaccines. They treat this as a deep technical challenge first: modelling the evolutionary arms race between tumours and the immune system, where signals are sparse, ground truth is costly, and predictions need to be trustworthy in the clinic. Small, driven team + real patient projects and data from day one - no waiting around. They’re hiring a Founding ML Engineer to own and build the core ML platform that designs these vaccines. The problem space is unusually interesting: • Sequence models + structured prediction for neoantigen targeting, • Evolutionary dynamics, selection pressures, inference from limited/noisy observations, • Game-theoretic thinking about tumour-immune interactions You’ll go from research ideas → production systems: standing up training infra, leveraging serious compute, prioritising clean abstractions. They want someone who: • Has strong mathematical foundations (reads methods sections in top papers comfortably), • Brings a genuine publication record in strong venues (NeurIPS, ICLR, ICML etc.), • Can independently build foundational models - mix of fine-tuning SOTA architectures + designing from scratch, • Is passionate about hard, high-stakes prediction problems (sceptical of pure leaderboard chasing), • Can ship fast without regrettable tech debt Biological domain knowledge helpful but not required - they’ll teach the oncology context. Why this role stands out • Backed by genuine industry leaders + top US VCs, • Strong initial funding and long runway, • Live customer projects - impact from week one, • Large R&D budget + fast experimental validation loops for models, • Flexible start dates (finishing PhD later in 2026? No issue) Hands-on founding role with real ownership. London-based. Salary: £100,000 - £200,000+ meaningful equity (they pay for impact). Central London (On-site)

Affinity Labs: Founding Product Engineer Location: London Area, United Kingdom · On-site Company Description At Affinity Labs, we’re building a full-stack AI venture studio that partners with content creators to co-found authentic, scalable software businesses. By combining AI-native development with creator-led distribution, we're pioneering a new model of monetisation by rapidly building, launching, and scaling digital ventures alongside with creators and their audiences. We aim to launch ventures 10x faster and cheaper than traditional methods using our internal "AI factory": a multi-agent architecture, reusable component libraries, and a growing knowledge graph that learns from every product we ship. Why Affinity Labs: Ship at rapid pace with AI-accelerated workflows, see your work distributed to tens of thousands of users at launch, and compound impact across multiple products, not just one. Role Description You’ll lead end-to-end product engineering across our portfolio: scoping features, designing APIs and data models, building backend services, and shipping polished user-facing experiences across web and mobile. This is an early-stage, hands-on role with significant autonomy and responsibility. You will own full-stack product delivery, from infrastructure and AI integrations through to React / React Native interfaces, collaborating closely with founders, creators, product, and design to turn lean specs into scalable, user-loved software. We’re looking for a strong generalist with backend depth and real mobile experience. Responsibilities • Implement features end-to-end (mobile + web frontend → APIs → data models → integrations) while maintaining quality and velocity., • Build React Native mobile apps and shared component systems across products., • Design and ship scalable backend services (APIs, integrations, AI workflows)., • Run tight build → test → iterate → ship loops; provide realistic estimates and surface blockers early., • Manage tech debt pragmatically, • Participate in daily standups and weekly planning; contribute to technical strategy and execute from Linear tickets., • Contribute meaningfully to product and architecture discussions; be heard in debate and align to unified decisions., • Own operability: CI/CD, monitoring/alerting, performance optimisation, safe rollbacks., • Build and integrate AI features (LLM/agent workflows, RAG/vector DB integration, eval hooks, cost/safety guardrails)., • Help evolve our reusable product templates and shared architecture across the portfolio. Essential Requirements • 3-6+ years building production-grade full-stack applications, with clear ownership., • Strong backend experience in Python (FastAPI preferred) and solid database skills (PostgreSQL/MongoDB)., • Proven experience building and shipping mobile apps with React Native., • Strong React fundamentals (Next.js experience a plus)., • Solid API design and systems thinking., • Familiarity with AWS serverless patterns and Docker; basic CI/CD concepts., • Comfortable with Redis (caching/sessions) and queue/messaging patterns., • Startup mindset: high ownership, comfort with ambiguity, bias toward shipping., • Growth mindset & flexibility: open to feedback; not rigid about stack/tools., • Clear communicator & collaborator; able to guide product decisions from engineering perspective., • Evidence of shipping quickly in small teams (links to apps, repos, case studies, live products). Desired • Node.js alongside Python for services or integrations., • App Store / Google Play release experience., • Experience with vector databases (e.g., Chroma) and embedding pipelines., • LangChain or CrewAI for orchestration; MCP servers for integrations., • Security hygiene (secrets, permissions, least-privilege) and practical data-privacy basics., • Planning & execution in Linear (or similar). Tools & Stack • Backend/Runtime: Python (FastAPI), Node.js., • Frontend: React/Next.js, • Mobile: React Native, • Datastores: PostgreSQL, MongoDB (as appropriate), Redis (caching/sessions)., • Vectors/Embeddings: Chroma (or similar)., • AI Models & APIs: Claude (Anthropic), Gemini (Google); Amazon Nova Canvas (vision), Deepgram (audio)., • AI Dev Tools: LangChain or CrewAI (orchestration), MCP servers (integration), GitHub Copilot / Claude Code., • Infrastructure: AWS (serverless functions), Docker (primarily for custom MCPs). Competencies & Behaviours • Communicates clearly with technical and non-technical teammates., • Takes ownership from concept to deploy and through maintenance., • Thinks in systems + design for reuse across a portfolio., • Balances technical excellence with pragmatic delivery to meet business needs., • Adapts quickly to changing requirements and emerging tech; applies AI learnings., • Sets clear goals, tracks progress, and hits commitments; collaborates across disciplines. Why this role is a career launchpad • Own the code & the company. You step in as a Founding Engineer with a meaningful equity stake from day one., • Ship faster with AI at your side. Our workflow bakes in AI so you spend your time solving real problems—not boilerplate., • Ride a rocket. Our wider vision is big and the bar is high; we need driven people who can help us achieve an ambitious roadmap., • Grow like crazy. You’ll architect, build, and launch multiple products each year. The shipping reps you’ll get in 12 months here would take 3–4 years in a typical startup. There’s a lot of work, it’s high intensity, and the expectation is to ship extremely quickly., • Learn from builders, not bosses. Work shoulder-to-shoulder with a team that has scaled VC-backed startups, closed multi-million-pound term sheets, and collaborated with 1,000+ creators across formats and categories.

AI Systems Architect - Studio Co-Founder Overview We are looking for a Founding AI Systems Architect to help build the technical and AI foundations of a new mobile gaming company from the ground up. This is not a traditional role inside an established studio. It is a true zero to one opportunity where you will define how AI is used across the product, the architecture that supports it, and the long-term technology strategy of the company. The studio’s first product is a gamified mobile app built on strong free-to-play principles. AI will play a key role in shaping intelligent systems around player engagement, personalisation, retention and feature dynamics. Over time the platform will expand into a portfolio of Unity-based mobile games. This role will work directly with the founder and early leadership team and will have a major influence on the studio’s long-term technology roadmap. Responsibilities • Define the overall AI architecture for the studio’s products, ensuring systems can scale from the initial app into future game titles., • Design and implement AI driven systems that improve player engagement, retention and personalisation., • Architect AI infrastructure and pipelines that integrate effectively with mobile applications and Unity based games., • Design systems that allow data, player behaviour and live operations to inform AI driven features and gameplay., • Build frameworks and tooling that allow engineers, designers and product teams to integrate AI capabilities into products., • Ensure systems are scalable, performant and suitable for mobile platforms., • Play a key role in shaping the long term technical vision of the company as part of the founding team. Technical Requirements • Strong background in software engineering and system architecture., • Experience designing and deploying AI or machine learning systems in production environments., • Experience building scalable backend systems and integrating AI services into applications., • Experience working with or integrating systems into Unity or real time interactive environments., • Ability to work across product, engineering and design to translate ideas into scalable technical solutions. Desirable Experience • Experience in mobile games or free-to-play game development., • Experience building gameplay AI systems or simulation systems., • Experience with personalisation systems, recommendation engines or player behaviour modelling., • Experience working in early-stage startups or building products from zero., • Experience with generative AI, reinforcement learning or adaptive gameplay systems., • Experience designing developer tools or AI frameworks used by product teams. What You Will Help Build • An AI foundation that supports both a consumer mobile application and a future portfolio of games., • Intelligent systems that power player engagement, progression and personalisation., • AI frameworks that scale across multiple Unity based game projects., • A modern technology stack designed from the ground up for a new generation of AI enhanced mobile games.

Position: CAD Engineer About the Organisation This organisation is a renewable energy developer specialising in the delivery of large-scale solar photovoltaic (PV) and battery energy storage system (BESS) projects. With a strong focus on environmental responsibility and technological innovation, the company is committed to advancing the energy transition through the development of sustainable infrastructure. The working environment is collaborative, supportive, and focused on professional excellence. Teams are encouraged to share expertise, develop new skills, and contribute to a culture of continuous learning and improvement. Position Overview Job Title: CAD Engineer Reporting To: Head of Department Location: London On behalf of this Developer / IPP, we are seeking a technically skilled professional to support the design, assessment, and development of large-scale solar PV and BESS projects across the UK. The role involves working closely with development, engineering, and project management teams throughout the full project lifecycle - from early feasibility through to planning and delivery. This position is ideal for someone with strong CAD skills and at least some GIS skills, who enjoys technical analytical work combined with collaborative problem-solving and who is motivated by contributing directly to the growth of the renewable energy sector, within a medium sized company. Key Responsibilities In this role, the successful candidate will be expected to: • Prepare high-quality CAD and GIS drawings to support land agreements, planning submissions and project development activities., • Produce option plans, lease plans and red-line drawings for use in legal and commercial processes., • Develop initial solar PV and BESS layouts, site designs and constraints mapping., • Conduct early-stage site assessments and feasibility analyses., • Perform shading analysis and energy yield assessments using industry-recognised software., • Assist project teams by providing clear, accurate technical outputs and documentation. Required Experience and Skills The ideal candidate will demonstrate: • A degree (or equivalent relevant experience) in engineering, renewable energy, geography or a related field., • Approximately one or two years’ experience in CAD design and/or GIS analysis, preferably within the renewables, infrastructure, or built environment sectors., • Strong proficiency in AutoCAD (2D) and GIS platforms., • The ability to interpret technical information and translate it into clear visual representations., • Strong organisational skills, accuracy and attention to detail, particularly when managing multiple projects. Desirable Skills Experience with the following tools or domains is advantageous but not essential: • PVCase or other solar design software., • PVSyst or similar energy modelling applications., • Knowledge of solar PV and BESS technologies, components and system design. Working Approach Candidates are likely to demonstrate: • Strong organisational and detail-oriented working habits., • An analytical, inquisitive and solution-focused mindset., • A collaborative approach when working within multidisciplinary teams. Please apply here with a short cover letter explaining your CAD/GIS experience, location and financial expectations.

(Remote) Engineering Manager – AI Native Tech Scale-up – Up to £130k (base) Imagine a world where you can run thousands of simultaneous conversations and instantly transform them into actionable insights for the world's biggest enterprises. That's not science fiction—that's what a forward-thinking client of mine is building. This company has architected a platform that operates at a greater scale, turning human dialogue into a strategic asset. They've closed their Series A, landed major enterprise customers, and solved the "can-it-be-done" problems. Now they need an Engineering Manager to build the high-performing team. "The mission, should you accept it…" • Build, don't babysit: This isn't a role for heavy corp-process or ticket-ticking. The focus is on turning a team of strong senior ICs into a cohesive, accountable, high-performing unit., • Own engineering excellence: You'll design lightweight career paths, run coaching 1:1s, and build a culture where risks are surfaced early and delivery is predictable., • Kill the "zombie projects": Bring discipline to planning. Know when to reset, when to rescope, and how to avoid projects lingering for months without launch., • Champion AI-first ways of working: Use AI as a force-multiplier in your people management—and encourage your engineers to do the same in their dev workflows. "The toolkit you'll bring…" • A proven EM: You've managed engineers before—this isn't your first rodeo. You're ready to hit the ground running on people topics from day one., • Technically literate: You don't need to code, but you can hold your own on real-time systems, WebRTC, and architectural trade-offs., • Startup-proof: You thrive in ambiguity. No "big-company process" crutches—just pragmatic, lean systems that enable speed., • AI-curious: You're already thinking about how AI changes management and development, and you're eager to experiment., • Zero ego: You'll collaborate with product, design, and the founders to drive growth—not just engineering roadmaps. So if this sounds like you then please hit that apply button to find out more.

Founding Engineer I am supporting a well funded early stage AI startup building real time coaching technology embedded directly into live sales calls. Their platform delivers instant, contextual guidance during conversations, surfacing the right prompts and discovery questions as the call unfolds. The company raised $1.6M in seed funding from reputable investors and is backed by experienced operators from successful UK technology businesses. They are operating in one of the fastest moving areas of enterprise software, with genuinely novel technology and strong early validation. They are now hiring their first Founding Engineer to work directly with the CTO. The Opportunity This is a true 0 to 1 role. You will design, ship and own product end to end, from ideation through deployment. You will make foundational architectural decisions, write production code used by real customers, and help shape the engineering culture from the ground up. They are looking for someone who thrives in ambiguity, moves quickly, and is comfortable making decisions with incomplete information. High agency and a strong bias toward action are essential. This role includes 1.5 percent equity, currently valued at approximately £97,500 at the latest round, with significant upside potential as the business scales toward Series A and beyond. Core requirements: • 3 plus years of engineering experience, • Strong in React and comfortable across the full JavaScript and TypeScript stack, • Backend experience building REST APIs using NestJS or Express Or Python, • Experience with MongoDB or similar databases, • Evidence of building independently, for example side projects, startups, open source work, • Experience in a company with fewer than 50 employees, • High agency and comfort operating in fast moving environments Nice to have: • Previous founder experience or strong interest in founding, • AI native workflow experience, for example using modern AI development tools and agents, • Experience with AWS and infrastructure as code, such as CDK, • Familiarity with CI and CD, TDD and DevOps principles, • Strong product instincts or UI and UX awareness Compensation • £95,000 base, depending on experience, • 1.5 percent equity, approx. £97,500 at current valuation, • Comprehensive health insurance, • Office based in London, five days per week

Senior Full Stack Engineer 🔥Exciting Early-Stage AI Start-Up 🔥 📍Remote first (London based office). 💰Competitive+ Equity. Omnis partners is exclusively partnering with a fast-growing AI start-up that is turning ambitious AI initiatives into working solutions at speed. Their platform allows large organisations to move from idea to production in weeks rather than months. With initial products already live and driving measurable results for enterprise clients, the team is now focused on scaling their core platform to deploy AI at scale. This is an exciting opportunity to join a company with: • Real traction: Global enterprise clients already using the first product., • Strong funding position: Series A raised in days from Angel Investors and already revenue positive., • Aggressive growth trajectory: Major platform release in Q2 expected to accelerate adoption significantly., • Small, highly technical team: Building an AI-native development environment., • Potential exit window in ~12 months: With interest already coming from big tech and consultancies., • Small, highly technical team building an AI-native development environment. What you’ll be doing: • Own end-to-end product slices: frontend UX, backend APIs, data models, integrations, and operational reliability., • Lead technical design, propose trade-offs, and set engineering patterns for the team., • Build fast, robust AI-assisted workflows handling streaming, async jobs, and complex state management., • Mentor and unblock other engineers through pairing, coaching, and high-signal code reviews. Tech stack & experience: • Frontend: TypeScript + React/Next.js., • Backend: Python (FastAPI or similar), async/concurrency, API design, operational readiness., • Databases: Postgres, data modeling, migrations, query optimization., • SaaS authentication & permissions: OIDC/OAuth, JWT, RBAC/ABAC., • Applied AI experience: LLM integration, tool/function calling, streaming data, vector databases, agentic state. It’s a fast paced, high-trust, high-autonomy environment: remote first, no mandated office time when they do open one in a few months, market-comparable salary plus meaningful equity, and real scope to influence both the product and the trajectory of the business early.

A UK leading contractor are looking for a CAD Technician to join their growing and busy team in London. The role sits within a growing BIM team and focuses on producing and developing high‑quality CAD drawings to support both pre‑construction planning and live project delivery. You’ll work closely with the pre‑con team to translate early design information into accurate 2D and reduced 3D models, as well as support ongoing projects with updated drawings, mark‑ups, and 3D scanning outputs. The role requires strong AutoCAD skills, a solid understanding of construction principles, and the ability to collaborate with engineers, designers, and project teams. You’ll be part of a tight-knit group of three, reporting directly to Giancarlo, with plenty of exposure to real project workflows and modern BIM processes. The ideal candidate brings 1–2 years of CAD experience and a genuine interest in construction—whether from site engineering, technical studies, or hands‑on exposure. You don’t need extensive site experience, but you should understand how buildings come together from the ground up and be ambitious about developing your technical capability. This is a Holborn‑based office role with some flexibility (one day WFH), offering around £40k for the right person. It’s a strong opportunity for someone early in their career who wants to grow quickly, learn from experienced BIM professionals, and step confidently into a long‑term technical pathway.

Head of Engineering / VP of Engineering I’m working with a fast-growing AI company at the forefront of real-time market intelligence, supporting some of the world’s leading financial institutions. They’re now looking for a Head of Engineering (or VP of Engineering) to lead their next stage of technical and team scale-up. This is a strategic and hands-on leadership role, combining technical vision, team growth, and delivery across products powered by LLMs, forecasting models, and scalable API platforms. Key Responsibilities • Own the technical strategy and execution across the company’s core products, including real-time APIs, data pipelines, and LLM-powered analytics., • Collaborate closely with Product and Data Science to deliver a forward-thinking technology roadmap., • Lead, mentor, and scale a high-performing engineering team (currently ~10), nurturing a culture of ownership, speed, and technical excellence., • Make key architectural decisions, ensuring system scalability and data infrastructure performance., • Maintain high engineering standards while remaining close to critical technical choices., • Recruit top talent and build a strong, inclusive team culture., • Oversee DevOps, InfoSec, and internal IT, ensuring smooth and secure operations., • Sit on the leadership team and act as a key bridge between engineering, product, and commercial. What I’m Looking For • 8+ years of engineering leadership within B2B SaaS, ideally in AI/ML or data-focused environments., • Experience growing teams through start-up to scale-up (Series A/B); time in both early-stage and mature environments is a bonus., • Strong technical foundation in Python, distributed systems, cloud infrastructure (Azure preferred), and modern scalable architectures., • Solid grasp of Agile practices, continuous delivery, and high-performing lean teams., • People-first leadership style, with a proven ability to build and nurture high-performing teams., • Exposure to machine learning, NLP, or financial data products is highly advantageous.

Distributed Systems Engineer / Ray Framework SME A fast-growing, early-stage infrastructure company building at the intersection of AI and distributed compute! They’re looking for an Nngineer with strong experience in Python-based distributed computing, strong experience with Ray Framework in particular, to help design and scale systems handling complex, high-throughput workloads. What you’ll be doing • Designing and building distributed systems for large-scale compute workloads, • Scaling Python-based services across clusters and cloud environments, • Working on ML infrastructure / platform tooling (training, orchestration, or inference pipelines), • Improving performance, reliability, and fault tolerance across distributed environments, • Collaborating closely with data scientists and ML engineers to productionise models What they’re looking for • 6-8 years of experience minimum in Systems/Software Engineering., • Strong experience with Ray (e.g. Ray Core, Ray Serve or Ray Tune), • Strong experience with distributed systems or parallel computing, • Solid Python skills (production-level), • Experience with frameworks like Ray, Spark, Dask, or similar, • Exposure to Kubernetes / containerised environments Nice to have • Background in ML infrastructure, data platforms, or backend systems ideal, • Familiarity with PyTorch / TensorFlow in production environments, • Experience building internal platforms or developer tooling, • Cloud experience (AWS, GCP, or Azure) Why join? • Work on genuinely complex distributed problems at scale, • High ownership and impact in a growing team, • Opportunity to shape ML infrastructure from the ground up, • Strong engineering culture with a focus on performance and scalability Location / Package • Ideally London, onsite, but remote will be considered for the right fit., • Up to circa £130k + benefits per annum (dependent on experience)

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. Our Mission At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity. Job Summary Humanoid is seeking a Head/VP/Director of AI Partnerships to lead strategic collaborations with the world’s top AI organizations. This role drives global partnerships that advance Humanoid’s robotics and AI capabilities through research, product integrations, and joint initiatives. You will serve as the senior interface between Humanoid and leading institutions, shaping partnerships that accelerate innovation and long-term impact. What You’ll Do • Develop and sign global AI partnerships with leading institutions across research and industry., • Identify, structure, and negotiate high-impact strategic collaborations that accelerate Humanoid’s robotics and AI capabilities — from research partnerships to product integrations and joint ventures., • Act as the executive interface between Humanoid and senior stakeholders at partner organizations, building long-term trust and alignment around shared goals., • Translate technical opportunities into strategic initiatives, bridging the gap between engineering, research, and business outcomes., • Evaluate emerging AI technologies and research ecosystems, assessing where collaboration can create defensible value and differentiation for Humanoid., • Work closely with product, R&D, and leadership teams to ensure external partnerships are aligned with internal priorities and roadmap milestones., • Represent Humanoid externally in high-level partnership discussions, conferences, and ecosystem forums — positioning the company as a thought leader in AI-driven robotics., • Own the end-to-end deal process, from initial exploration to negotiation, contract finalization, and ongoing relationship management., • 5+ years of experience in AI, technology strategy, business development, or strategic partnerships, ideally within leading tech or research organizations., • A proven record of building and scaling global partnerships that have driven measurable product, research, or business outcomes., • Strong executive communication and negotiation skills, with experience managing relationships at the C-suite or senior research leadership level., • The ability to bridge technical and business teams, translating complex AI and robotics concepts into actionable strategic opportunities., • A deep curiosity about frontier AI research and its applications in embodied intelligence and robotics., • A network and credibility within the AI ecosystem — spanning research labs, startups, and major technology institutions., • The ability to identify early signals of technological shifts and translate them into strategic advantage., • Competitive salary plus participation in our Stock Option Plan, • Paid vacation with adjustments based on your location to comply with local labor laws, • UK Private Insurance, • Travel opportunities to our Vancouver and Boston offices, • Office perks: free breakfasts, lunches, snacks, and regular team events, • Freedom to influence the product and own key initiatives, • Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics Does this role sound like the perfect fit for you? Fill in the form and include links or files that showcase the best of what you’ve built and achieved.

About SaxeCap: SaxeCap is the premier AI transformation and investment platform in private equity. We pioneered the concept of buying out traditional businesses and transforming them with AI in 2018, and today we are the go-to AI transformation partner for 60+ PE firms globally, including 9 of the 10 largest by AUM as well as the world’s leading sovereign wealth funds. We've transformed 140+ businesses across healthcare services, business services, financial services, software, consumer, and more, driving billions of dollars of enterprise value expansion along the way. We operate at the intersection of three businesses: (1) a private equity investment arm, (2) an in-house AI transformation firm that designs and deploys bespoke GenAI, ML, and automation solutions, and (3) a suite of proprietary software products. Our team comes from places like Google, Palantir, Meta, Surge AI, Blackstone, TPG, Cerberus, Millenium, Balyasny, McKinsey, Bain, Oliver Wyman, MIT, Stanford, IIT, GSB, HBS, and Wharton. We were early investors in OpenAI, Anthropic, Groq, SpaceX, Neuralink, Mercor, Lambda Labs, etc. But what makes our team exceptional isn't where they came from or what they've invested in, it's what they ship. We are builders. About the Role: We are hiring a Vice President, AI Strategy & Deployment to join our AI transformation team and build our presence in the UK and EU. This is not a traditional consulting or investment role. You will own the full lifecycle of AI-driven value creation across our PE partner portfolio, from first engagement with a sponsor, through deep technical and strategic analysis, to managing our engineers and data scientists as they build and deploy solutions that move EBITDA. You will operate across a range of workstreams simultaneously: evaluating AI opportunities for PE sponsors under deal timelines, designing comprehensive transformation roadmaps for portfolio companies, managing technical teams through production AI deployments, supporting investment underwriting for SaxeCap's own PE vehicle, and leading business development with new partners. The common thread: you are the person who connects AI's technical potential to measurable business value, and you own the outcome end to end. About You: You are a hybrid: part technologist, part strategist, part operator. You are equally comfortable whiteboarding a model architecture with an ML engineer, presenting an AI transformation roadmap to a private equity partner, and pressure-testing an LBO model. You move fast, you think in structures, and you obsess over shipped outcomes rather than theoretical potential. Specifically: • 5 to 10 years of experience spanning two or more of: private equity, AI/ML product management, strategy consulting (MBB or comparable preferred), investment banking, or engineering, • You have managed teams of 5+ people (engineers, data scientists, consultants, or analysts) and held them accountable to ambitious timelines, • You have managed executive and C-suite stakeholder relationships, ideally in a PE or PE-adjacent context, • You have real AI/ML fluency: you can discuss model architectures, data pipelines, and build-vs-buy trade-offs with technical teams, not just at a buzzword level. Hands-on experience with Python, SQL, and data science tools is expected. Experience shipping ML products, managing RLHF programs, or building GenAI solutions is a strong differentiator., • You have experience quantifying enterprise value and EBITDA impact of technology or transformation initiatives; not just tracking KPIs, but tying technical outcomes to P&L, • You have product management instincts: understanding user pain points, scoping technical solutions, and managing the build through deployment, • You have operated in fast-paced, ambiguous environments where the scope, stakeholders, and approach shift rapidly, and you thrive in that context rather than resist it, • Bachelor's and/or Master's degree in Computer Science, Engineering, Mathematics, or a related technical field from a top-tier institution What Sets the Best Candidates Apart: The people who excel at SaxeCap share a specific profile. They are not pure technologists and not pure dealmakers, they are the rare operators who can do both. The strongest signals we look for: • Shipped AI, not just studied it. You have built or managed the build of AI/ML solutions that went to production and drove measurable business outcomes. "Led AI strategy" without specifics doesn't move the needle. "Shipped an ML model that reduced X by Y%, managing a team of Z engineers" does., • PE-grade rigor under time pressure. You can form accurate conviction on an AI opportunity from limited information and present that conviction to a PE partner with confidence. If you've worked on a live deal, you know what this feels like., • Builder DNA. You don't just recommend, you build. Side projects, open-source contributions, 0-to-1 products, or intrapreneurial ventures all signal the instinct we're looking for., • Structured synthesis at scale. You can process massive amounts of qualitative and quantitative information and distill it into a prioritized plan that senior executives can act on. This is the hardest skill to find and the one we value most. Compensation & Growth: SaxeCap offers highly competitive compensation, and you will work directly with our senior leadership from day one, with significant client exposure and rapid professional development. The team is lean by design, there are no layers between you and impact.

Job Title: Senior MEP Engineer / Senior MEP Manager – Data Centres Location: Flexible / Project-based (depending on portfolio) Reports To: Project Director / Technical Director Role Overview: We are seeking an experienced Senior MEP professional to lead the mechanical, electrical, and public health (MEP) delivery of large-scale data centre developments. This role is critical to ensuring mission-critical infrastructure is designed, coordinated, and delivered to the highest standards of reliability, resilience, and efficiency. The successful candidate will provide technical leadership across the full project lifecycle — from concept and early-stage design through procurement, construction, commissioning, and handover — working closely with clients, designers, contractors, and operations teams. Key Responsibilities: Technical Leadership • Lead all MEP aspects of data centre projects, including power distribution, UPS systems, generators, cooling strategies, BMS, fire systems, and resilience architecture., • Ensure compliance with relevant codes, standards, and best practices (e.g. TIA-942, EN, IEC, ASHRAE, Uptime Institute principles)., • Manage and coordinate MEP consultants throughout concept, schematic, detailed design, and IFC stages., • Drive design decisions related to topology (N, N+1, 2N), scalability, and future expansion., • Oversee MEP procurement strategies, including early contractor involvement and long-lead equipment., • Monitor construction progress, quality, and compliance with specifications., • Lead and coordinate Level 1–5 commissioning, IST, and integrated testing activities., • Ensure systems are fully validated, documented, and handed over in line with client and operator requirements., • Act as a key technical interface between client, funders, contractors, and operators., • Provide input into budgets, programmes, risk registers, and value-engineering exercises (without compromising resilience)., • Support technical due diligence for acquisitions or new site developments. Skills & Experience: Essential • 10+ years’ experience in MEP delivery on mission-critical or complex infrastructure projects., • Proven experience delivering data centres, hyperscale facilities, or equivalent high-reliability environments., • Strong understanding of electrical and mechanical systems for high-density loads., • Experience managing complex commissioning and integrated systems testing., • Degree in Mechanical, Electrical, or Building Services Engineering (or equivalent)., • Chartered Engineer status (CEng / PE or equivalent)., • Experience working with hyperscale, colocation, or edge data centre operators., • Decisive and technically confident, with a calm approach under pressure., • Commercially aware, with a strong understanding of risk and programme drivers., • Detail-oriented yet capable of taking a big-picture, system-level view., • Comfortable working in fast-paced environments with demanding clients. What We Offer: • Opportunity to work on high-profile, critical infrastructure projects., • Competitive salary and benefits package., • Long-term career progression within a growing data centre delivery platform., • Exposure to end-to-end development, from greenfield sites to live environments.

Head of HSE Reports to: Head of EPC | Location: United Kingdom (Hybrid) | Type: Full-time, Permanent About the Company Tyler Hill Consulting (now part of Zenexa Group) is a renewable energy developer who specialise end to end development of onshore renewable energy assets across the UK, from origination all the way through to RTB. Tyler Hill Consulting recently received platform-level funding to develop, build and operate our 5GW pipeline of onshore renewable energy assets. Zenexa Renewables Limited has been set up to own these projects long-term to become a leading IPP platform to support the UK's transition towards net zero. About the Role We are seeking an experienced and values-driven Head of HSE to join our leadership team and take ownership of health, safety, and environmental performance across our growing portfolio of utility-scale renewable energy projects. Reporting directly to the Head of EPC, this is a critical role that carries responsibility for setting HSE strategy, building a proactive safety culture, and ensuring full regulatory compliance across all phases of project development, construction, and operations. The successful candidate will be a confident and credible HSE leader who combines deep technical expertise with strong people skills; someone who can operate equally effectively with site operatives, project managers, and Board members, and who is passionate about delivering projects in a way that protects people, communities, and the natural environment. Key Responsibilities • Develop, own, and continuously improve the company's HSE management system, policies, procedures, and standards, ensuring they are fit for purpose across all phases of utility-scale renewable energy project development, construction, and operations., • Act as the company's senior competent person for health, safety, and environmental matters, providing authoritative advice to the Board, senior leadership, project teams, and external stakeholders., • Discharge the duties of Principal Designer under CDM 2015 where required, overseeing pre-construction HSE planning, reviewing designs for buildability and safety in execution, and ensuring Health & Safety Files are prepared and handed over at project completion., • Lead the development and implementation of Construction Phase Plans, Environmental Management Plans (CEMPs), and site-specific risk assessments across the project portfolio, working closely with the Head of Construction and site management teams., • Establish and maintain a proactive, positive safety culture across the organisation and supply chain, providing clear leadership, visible presence on site, and ongoing coaching and engagement with all project personnel., • Manage and audit the HSE performance of EPC contractors, specialist subcontractors, and consultants, ensuring all parties meet or exceed contractual requirements and regulatory HSE obligations., • Oversee the implementation of risk management frameworks, including RAMS reviews, permit-to-work systems, site induction programmes, toolbox talks, and regular HSE inspections and audits., • Lead incident reporting, investigation, and root cause analysis processes, ensuring lessons learned are systematically embedded across the portfolio and reported transparently to senior leadership., • Ensure compliance with all applicable UK health, safety, and environmental legislation, including the Health and Safety at Work Act 1974, CDM 2015, Environmental Permitting Regulations, Wildlife & Countryside Act, and other relevant statutory instruments., • Manage environmental compliance obligations on construction sites and operational assets, including habitat protection, noise and dust control, water management, waste management, and species protection requirements under planning consent and Environmental Permits., • Lead the discharge of environmental planning conditions and coordination with the Environment Agency, Natural England, NatureScot, NRW, and local planning authorities as required., • Interface with the Development and Planning teams to review environmental impact assessments, support consenting activities, and ensure HSE considerations are embedded in early-stage project design., • Manage relationships with the Health and Safety Executive (HSE), Environment Agency, and other regulatory bodies, acting as the primary point of contact for statutory notifications (F10), enforcement matters, and regulatory enquiries., • Develop and deliver HSE training and competency frameworks for in-house staff at all levels, ensuring teams are appropriately qualified, trained, and aware of their duties., • Provide regular, accurate HSE reporting to the Board and senior management, including leading and lagging indicators, incident statistics, regulatory compliance status, and trend analysis., • Build and lead a small team of HSE professionals as the business scales, fostering a culture of high performance, integrity, and continuous improvement. Requirements • 10+ years of experience in health, safety, and environmental management, with at least 5 years in a senior leadership role within the UK renewable energy, power generation, or broader infrastructure sector., • Demonstrated experience managing HSE across the full lifecycle of utility-scale solar, onshore wind, and/or BESS projects, from development and consenting through construction and into operations., • Expert knowledge of CDM 2015, with proven experience as Principal Designer and/or Principal Contractor, including preparation of pre-construction information, Health & Safety Files, and Construction Phase Plans., • Strong working knowledge of UK health, safety, and environmental legislation, including HSWA 1974, Environmental Permitting Regulations, Wildlife & Countryside Act 1981, and the requirements of the Environment Agency, Natural England, NatureScot, and NRW., • Experience managing environmental compliance on large infrastructure construction sites, including CEMPs, habitat and species protection measures, environmental monitoring, and planning condition discharge., • Proven track record of managing and auditing contractor HSE performance, including conducting site inspections, reviewing RAMS, and driving behavioural safety improvements across supply chains., • Demonstrated experience in incident investigation and root cause analysis, with the ability to translate findings into lasting improvements across complex, multisite operations., • Strong knowledge of electrical safety in HV/LV construction environments, including safe systems of work for grid connection, substation, and power plant construction activities., • NEBOSH Diploma in Occupational Health and Safety (or equivalent) is essential. NEBOSH Environmental Certificate or a relevant environmental qualification is highly desirable., • Chartered membership of IOSH (CMIOSH) is strongly preferred. Membership of IEMA or an equivalent environmental body is desirable., • Excellent leadership, communication, and influencing skills, with the ability to build a positive safety culture and engage credibly with site operatives, senior executives, and regulatory bodies alike., • Strong commercial awareness, with experience contributing to HSE aspects of contract management, tender evaluation, and project governance., • Willingness to spend regular time on project sites across the UK, with the flexibility to respond promptly to incidents or regulatory matters as they arise., • A proactive and collaborative approach, with the drive to build a best-in-class HSE function in a growing, ambitious business

Founding Engineer London | £75k–£95k + meaningful equity Gale & Co. is partnering with a venture-backed early-stage AI company hiring a Founding Engineer in London. They are building a live, AI-enabled product in a category that is moving quickly and still very much up for grabs. The business has already raised seed funding, has early customer traction, and is now at the point where a small number of key hires will have an outsized impact on what the company becomes. This is a role for an engineer who wants to build properly, think commercially, and work close to the founders while the shape of the product is still being defined. The opportunity This is not a role for someone who wants clean tickets, long planning cycles, or a heavily layered engineering structure. It is a role for someone who likes solving real problems in real time, can move from rough idea to practical implementation quickly, and enjoys being in the room when product and technical decisions are being made. You will be joining a small, high-context team and working directly with a technical founder. The environment is fast-moving, collaborative, and high ownership. The product is live, the infrastructure foundations are in place, and the focus now is on iterating quickly, learning from customers, and building with conviction. For the right person, this is the kind of role that can compress a huge amount of learning and exposure into a short space of time. What they need They are looking for a product-minded engineer who can operate with range. Someone who is: • Strong across React and the wider JS / TS stack, • Comfortable building in ambiguity, • Able to work independently without needing everything fully defined, • Naturally curious and proactive, • Thoughtful enough to challenge, not just execute, • AI-native in how they work What the role will involve: • Building product across the frontend and backend, • Working directly with the technical founder on technical and product decisions, • Turning customer feedback into experiments and shipped features, • Helping shape how engineering works as one of the earliest hires, • Moving quickly where needed, while still keeping a high bar for quality, • Using AI tools as part of the day-to-day engineering workflow, • Contributing ideas, options and technical judgment, not just delivery Likely fit: This is likely to suit someone who has: • Around 3+ years of engineering experience, • Strong React and full-stack JavaScript / TypeScript capability, • Worked in a startup, small team, or similarly fluid environment, • Built things independently, • Genuine comfort with pace, ambiguity and ownership Particularly relevant backgrounds could include: • Early-stage startups, • AI-native product businesses, • Engineers who have built side projects or founded something before, • People who may want to start a company themselves in future They do not need a pure ML engineer. The priority is someone who can build quickly and intelligently in an AI-native environment. Why this role stands out: The attraction here is not just the market or the funding. It is the combination of: • Real product proximity, • Direct founder access, • Meaningful ownership, • Early-stage influence, • Strong learning curve, • A genuine chance to shape the company early Working model: The role is based in London, five days a week in the office. We understand that this won't work for everyone and will naturally narrow the market, but it is a deliberate choice at this stage. The company is moving quickly, product direction is still evolving, and they want someone in the room while the pace and shape of the business still demand close collaboration. The ambition is that as they scale, more flexibility will be introduced. But likely not until circa 12 months down the line. Comp: • £85,000–£95,000 base salary, • Meaningful equity (Details available on request), • Early-stage exposure with real upside if the business continues on its current path

Circadia Health is a growth‑stage healthcare AI company on a mission to prevent avoidable hospitalizations and transform senior‑care operations. Our Circadia Intelligence Platform combines: • Contactless sensing that monitors respiration and motion with medical‑grade accuracy, • Predictive analytics & agentic AI workflows that detect 85 % of preventable rehospitalizations ~11 days in advance, • Enterprise integrations that embed insights directly into EHR, care‑coordination, billing, and compliance systems Today our technology touches 40,000+ post‑acute patients daily across skilled‑nursing, home‑health, and home‑care networks. We are backed by leading healthcare and AI investors like Khosla Ventures, Village Global, Headline, Eric Yuan (CEO of Zoom), and others. Position Overview As an ML Ops Engineer at Circadia Health, you will own the infrastructure and operational lifecycle of the machine learning systems that power our clinical monitoring platform. You will build and maintain the production ML pipelines, deployment infrastructure, and monitoring systems that enable Circadia's predictive models to identify early signs of clinical deterioration. Reporting to the Principal ML Engineer, you will work across ML, backend, data, and clinical teams to ensure models are reliably trained, versioned, deployed, and monitored in both cloud and edge environments. You will be a key driver in elevating Circadia's ML practice – from reproducibility and experiment tracking to CI/CD for models and operational observability. This is a high-ownership role at a lean company where production reliability, rapid iteration, and pragmatic engineering are essential. Your work will directly impact patient outcomes by ensuring our predictive models are always running, always accurate, and always improving. Key Responsibilities ML Pipeline Orchestration & Automation • Own and extend Circadia’s ML pipeline orchestration using Apache Airflow, including training, evaluation, and deployment workflows., • Build and maintain automated pipelines for model retraining, validation, and promotion across development, staging, and production environments., • Implement pipeline monitoring, alerting, and failure recovery to eliminate silent failures and ensure operational reliability., • Deploy and manage ML models on AWS infrastructure (e.g. AWS Batch for batch inference workloads)., • Support deployment of models to edge devices, including Circadia’s clinical monitoring hardware, working with firmware and embedded engineering teams as needed., • Manage model versioning, promotion, and rollback workflows through the MLflow model registry., • Maintain and improve the MLflow-based experiment tracking and model registry infrastructure., • Establish conventions for experiment logging, artifact storage, model metadata, and lineage tracking., • Implement and maintain training data versioning and dataset management practices to ensure reproducibility of model training runs., • Track dataset lineage, labeling provenance, and feature dependencies alongside model versions., • Build monitoring systems for model performance in production, including data drift detection, prediction quality tracking, and alerting on degradation., • Implement operational dashboards for pipeline health, compute utilisation, and deployment status., • Collaborate with data engineering to ensure upstream data quality and pipeline reliability for ML feature inputs., • Manage and optimise AWS compute resources (Batch, EC2, or similar) used for model training and inference., • Design infrastructure-as-code solutions for reproducible ML environments., • Drive cost optimisation across ML compute, storage, and data transfer., • Introduce and champion ML engineering best practices including CI/CD for models, automated testing for ML pipelines, and reproducible training workflows., • Build internal tooling and templates that accelerate the ML development-to-production cycle., • Document operational processes, architecture decisions, and onboarding materials for the ML platform., • Ensure all ML pipelines and infrastructure meet healthcare security and privacy requirements, including HIPAA and SOC 2., • Apply best practices for handling Protected Health Information (PHI) in training data, model artifacts, and inference outputs., • Maintain audit trails for model decisions, data access, and deployment history. Attributes Required Qualifications • 4+ years of experience in MLOps, ML Engineering, DevOps, or a closely related infrastructure role., • Strong proficiency in Python for ML pipeline development, tooling, and automation., • Hands-on experience with ML pipeline orchestration tools, particularly Apache Airflow., • Experience with model registries and experiment tracking platforms (MLflow preferred)., • Experience deploying and operating ML workloads on AWS (Batch, EC2, S3, IAM, CloudWatch)., • Solid understanding of the ML lifecycle: training, evaluation, deployment, monitoring, and retraining., • Experience with containerisation (Docker) and infrastructure-as-code., • Proficiency with Git and version control workflows., • Familiarity with SQL and data warehousing platforms (Snowflake preferred)., • Experience implementing monitoring, logging, and alerting for production systems., • Strong debugging and incident response skills for complex distributed systems. Preferred Qualifications • Experience deploying models to edge or embedded devices., • Background in healthcare, medical devices, or clinical data systems., • Familiarity with model serving frameworks (e.g., TorchServe, TF Serving, Triton, or custom solutions)., • Experience with CI/CD systems for ML (e.g., GitHub Actions, Jenkins, or similar)., • Experience with data versioning tools (e.g., DVC, LakeFS, or similar)., • Experience supporting data science or ML research teams in a production context., • Exposure to HIPAA compliance and healthcare security best practices., • Experience with distributed compute frameworks (e.g. Apache Spark, Dask) for large-scale data processing., • Experience with streaming or real-time inference architectures. What You Bring • You take ownership of ML infrastructure end-to-end — from training pipelines to production monitoring., • You care deeply about reliability, reproducibility, and operational excellence in ML systems., • You have strong opinions (loosely held) on how to build a great ML platform, and you’re eager to put them into practice., • You are comfortable working in a startup environment where you’ll wear multiple hats and move fast., • You communicate clearly across engineering, data science, and clinical teams., • You’re motivated by building technology that directly improves patient care. Why Circadia Health Circadia Health is redefining patient monitoring through contactless sensing and AI-driven clinical insights. As we scale from tens of thousands to hundreds of thousands of monitored patients, our data infrastructure is central to everything we do. You’ll have the opportunity to: • Work on real-world healthcare problems with measurable patient impact, • Build data systems that power clinical-grade AI and ML, • Take ownership in a fast-growing, mission-driven company, • Collaborate with a highly skilled, multidisciplinary team.

🚀 Senior/Lead Full Stack TypeScript Engineer 📍 Remote / Hybrid 💰 Up to £130k + Up to 0.3% Equity We’re looking for a Senior/Lead Full Stack TypeScript Engineer with 5+ years of experience building scalable products. A huge plus if in fast-moving startup environments. If you thrive in ambiguity, ship quickly, and care deeply about product quality and user experience, we’d love to speak with you. 🔧 What You’ll Do • Design, build, and maintain scalable full stack applications using TypeScript, • Own features end-to-end from architecture to deployment, • Collaborate closely with product, design, and leadership to ship impactful features, • Improve system performance, reliability, and developer experience, • Contribute to architectural decisions and technical strategy, • Mentor engineers and promote engineering best practices ✅ What We’re Looking For • 5+ years of professional software engineering experience, • Strong experience with TypeScript across frontend and backend, • Experience with modern frontend frameworks such as React, Next.js, or similar, • Experience building backend services with Node.js, • Proven experience working in fast-paced startup environments, • Strong understanding of system design, APIs, and scalable architecture, • Comfortable taking ownership and operating with high autonomy, • Excellent communication skills 🌟 Nice to Have • Experience with cloud platforms such as AWS, GCP, or Azure, • Experience with CI/CD pipelines and DevOps practices, • Experience scaling systems from early stage to growth phase, • Prior experience in Seed to Series B startups 💡 Why Join? • High ownership and real product impact, • Work closely with experienced founders and operators, • Competitive salary and equity, • Flexible working environment If you're a strong TypeScript engineer who enjoys building in high-growth startup environments, apply directly or reach out to learn more.

Job Description: Technical Program Manager (TPM) Role: Technical Program Manager – Research Lab Enablement Location: Client site Role: The Technical Program Manager (TPM) is responsible for establishing and operating a structured, process driven service that enables effective research lab operations. The role ensures research concepts transition predictably and efficiently from idea to execution through strong feasibility planning, capacity management, and quality enablement. The TPM acts as the single orchestration point across researchers, lab operations, SMEs, and delivery teams. Key Responsibilities 1. Feasibility & Scenario Planning • Translate research ideas into clear, executable lab scenarios, • Coordinate feasibility inputs across:, • Hardware availability and readiness, • Programming and system configuration, • CAD model review (where applicable), • Ensure all documentation and readiness criteria are in place before lab execution 2. Capacity Planning & Operational Rhythm • Own weekly capacity planning and review cadence, • Track planned vs. actual delivery and manage variances, • Maintain a 2–3 weeks forward capacity view for data collection and evaluation, • Balance lab capacity against changing research priorities 3. Quality Reporting, Process Improvement & Change Management • Introduce structured quality reporting and insights Required Skills & Experience • Proven experience as a Technical Program Manager or similar role, • Strong planning, orchestration, and stakeholder management capability, • Experience in complex, research‑led or operational environments, • Capability in capacity planning, reporting, and process improvement

Senior Full Stack Engineer (Node.js / React) Location: London (Hybrid) Salary: up to £100,000 We’re working with a well-funded, early-stage startup building a next-generation, AI-powered platform in the fintech/regtech space. They’re looking for a Senior Full Stack Engineer to play a key role in scaling a modern microservices architecture and shaping the future of the product. What you’ll be doing: • Designing and building scalable microservices using Node.js (Nest.js) and React, • Driving an API-first architecture with strong focus on service-to-service communication and contract testing, • Owning features end-to-end, from idea to production with a strong feedback loop from real users, • Improving system performance, reliability, and observability across a distributed environment, • Contributing to a modern DevOps culture with CI/CD, automated testing, and infrastructure as code Tech stack: React, Node.js (Nest.js), Python/FastAPI, AWS (ECS), PostgreSQL, Kafka, Terraform, GitHub CI/CD Testing: Jest, Cypress, Pact, Pytest What they’re looking for: • Strong experience building distributed systems / microservices architectures, • Deep hands-on expertise with Node.js and React, • Solid understanding of API design, event-driven systems, and contract testing, • Experience working in fast-paced, ambiguous environments, • Passion for automation, clean code, and solving real customer problems Why join? • End-to-end ownership of impactful features and systems, • Work on a cutting-edge platform leveraging AI/ML, • High-trust environment with strong engineering culture, • Flexible working (hybrid London or remote), • Direct exposure to founders and influence over technical direction If you’re excited by building scalable systems, working with modern tooling, and being part of a high-growth engineering team - let’s chat. Message me directly or apply to learn more!

🚀 Founding Product Engineer | London | High-Growth, AI-Driven Product If you’re the kind of engineer who wants to build something from the ground up, work directly with founders, and ship a product that’s already seeing real user traction, this is one of those rare opportunities. We’re partnering with a venture-backed, product-led startup building a highly personalised, AI-driven platform that helps users make better decisions across their daily lives - from travel and health to dining and experiences. The product is already live, growing fast, and showing exceptional engagement early on. Now, they’re expanding their founding engineering team to scale what they’ve built so far. 💡 The Role As a Founding Product Engineer, you’ll work closely with the CTO and early team to build and scale the core systems behind the product. This is a hands-on, high-ownership role where you’ll take features from idea → production, shape technical decisions, and help define how the platform evolves as it scales. 🔧 What You’ll Be Doing • Building and scaling backend systems using Python & Django, • Owning features end-to-end, from design through to deployment, • Developing APIs, background processing systems, and AI-driven workflows, • Working with data-heavy pipelines and retrieval-based systems, • Improving performance across queries, APIs, and infrastructure, • Operating within a cloud-native environment (GCP), • Debugging production issues and driving resolution, • Collaborating closely with product, mobile, and frontend teams, • Contributing to engineering standards and raising the technical bar ✅ What They’re Looking For • 5+ years building production backend systems, • Strong experience with Python and Django (DRF), • Solid understanding of SQL, system design, and performance optimisation, • Experience with background job systems (e.g. Celery), • Exposure to LLMs, AI systems, or agent-based architectures, • Experience working in cloud environments (ideally GCP), • Strong product mindset - you care about performance, reliability, and user impact, • Comfortable in a fast-paced, in-person environment 🎯 Why This Role • True founding engineer scope and ownership, • Work directly with an experienced founding team, • Build a product already showing strong real-world usage, • High-impact role with clear progression as the company scales, • Join a team focused on quality, speed, and building meaningful products 🎁 Benefits • Competitive salary + equity, • $2,000 learning & tech budget, • Premium health coverage (incl. dental & vision), • Lifestyle and wellness perks, • Complimentary meals + evening transport, • 15 flexible remote days per year If you’re excited by early-stage ownership, building at speed, and working on a product people actually use daily, I’d love to speak. 📩 Apply directly or reach out to 📨 Or message me here for more details

Senior AI Engineer / Data Scientist Location: London - hybrid working The Opportunity: You’ll join a well-funded, early-stage startup building AI-driven software for regulated financial institutions. The platform uses AI and machine learning at its core to help organisations solve complex operational and compliance challenges. The engineering team is building a modern microservice architecture in AWS with a strong focus on automation, testing, and rapid deployment. The team values clarity, transparency, and craftsmanship. AI is not only central to the product, but also to how the team builds, experiments, and works day-to-day. The company operates with a London hub but supports flexible hybrid or remote working. What Success Looks Like: • AI outputs that are consistently accurate, actionable, and valuable for customers, • Rapid experimentation and iteration that drives product-market fit and scalable solutions, • A system that learns and improves through real user feedback, • High-quality, well-tested AI systems that can confidently operate in production What You Bring: • A naturally curious mindset, you constantly ask “what if?” and explore better approaches, • A proven track record delivering ML / AI solutions into production environments, • Strong Python expertise and experience with modern AI/ML frameworks such as:, • PyTorch, • TensorFlow, • scikit-learn, • NumPy, • Pandas, • Hands-on experience with Generative AI, agentic AI systems, and AI testing frameworks, • Strong communication skills and a passion for clear documentation and knowledge sharing, • The ability to thrive in fast-moving, ambiguous environments where experimentation is encouraged What You’ll Work With: Tech Stack • Frontend: React, • Backend: NestJS, Python (FastAPI), LangChain, • Test Automation: Pact, Jest, Cypress, Pytest (including AI testing), • Infrastructure: AWS ECS, PostgreSQL, Kafka, • Infrastructure as Code: Terraform (native AWS services where possible), • CI/CD: GitHub-based tooling What’s in it for you: • Significant ownership over core AI systems and product capabilities, • The opportunity to evolve an MVP into a market-leading platform, • Direct collaboration with founders and senior leadership, • A culture that values innovation, learning, and experimentation, • Flexible working arrangements (London hybrid or remote), • Competitive compensation for senior talent, • Access to cutting-edge AI tools and infrastructure Apply below if you're interested!

Role Overview: The Engineering Director will provide strategic and technical leadership across our Client's engineering portfolio, ensuring the successful delivery of large and complex capital projects within the UK power and energy infrastructure sector. The role is responsible for engineering governance, technical assurance, safety in design, resource management, and stakeholder engagement across all projects. The Engineering Director will oversee engineering teams, ensure compliance with regulatory and legislative requirements, and support the company’s long-term technical and business objectives. Package: Salary - £100,000 - £120,000 Depending On Experience Standard Package Key Responsibilities • Ensure that appropriate and competent engineering resources are assigned to the delivery of large capital and complex design projects., • Identify, manage, and mitigate engineering, quality, and delivery risks to safeguard project quality, programme, and outcomes., • Provide technical leadership and governance, ensuring project designs comply with Engineering Works Information (EWI), applicable standards, and client requirements., • Ensure that technical requirements are clearly communicated to project teams and that designs are developed in line with agreed scopes and strategies., • Lead and oversee the early identification of technologies or systems requiring Technical Authority (TA) approval, and ensure approval plans are developed and implemented., • Schedule and chair design reviews, design assurance activities, and Design Authority Reviews as required., • Lead project coordination activities, including chairing meetings with contractors, consultants, and stakeholders (including remote design office)., • Organise and oversee technical workshops and safety reviews such as HAZID, HAZOP, HAZCON, and other structured risk assessments., • Promote and manage safety across the project portfolio, including Safety in Design, CDM Regulations, and Principal Designer (PD) duties, in collaboration with Project Managers and Lead Engineers., • Review construction methodologies, RAMS, and safety documentation to support safe commissioning and operational readiness., • Provide direct line management and oversight of Engineering Managers and Project Engineers, ensuring effective coordination of day-to-day engineering activities., • Develop, maintain, and strengthen relationships with external stakeholders, including clients, regulatory bodies, transmission operators, and industry partners., • Represent the client at senior technical, regulatory, and stakeholder forums as required., • Support senior management by clearly communicating complex technical issues, risks, and recommendations to enable informed decision-making., • Contribute to the continuous improvement of engineering processes, governance frameworks, and technical standards across the business., • Any other duties as deemed appropriate by the Board to support business growth and operational excellence. Minimum Requirements: • Education & Qualification: o Degree in a relevant engineering discipline (preferably Electrical Engineering) or equivalent professional experience. o Chartered Engineer status or equivalent professional recognition (preferred). • Experience: o Minimum 20 years’ experience delivering major infrastructure and capital projects, including FACTS projects (up to 400kV) within transmission and distribution networks. o Proven track record of managing complex, multi-million pound engineering programmes. o Demonstrable experience engaging with senior stakeholders, regulators, and technical authorities. • Technical Knowledge: o Strong technical knowledge of transmission and distribution networks and associated systems. o In-depth understanding of applicable UK legislation and regulatory requirements, including CDM Regulations, ESQCR, and asset/project governance frameworks. o Advanced understanding of engineering management systems, technical assurance processes, and capital project delivery models. Familiarity with UK DNO/ICP frameworks, NEC contracts, and renewable energy projects. • Skills: o Outstanding leadership, problem-solving, and decision-making capabilities. o Ability to set and steer strategic technical direction across the organisation. o Excellent communication skills, with the ability to challenge, influence, and present complex technical matters clearly and concisely. o Strong stakeholder management and relationship-building skills. • Other: o Eligibility to work in the UK. o Willingness to travel occasionally for project meetings, client engagements, and site visits. o Flexible and adaptable to meet business and project demands.

Principal Operations Engineer - Pre-commissioning Job Overview: The Principal Operations Engineer manages a team of Engineers for the preparation and execution of offshore/offshore pipeline and umbilical pre-commissioning operations. -London based position for initial 12+ months of Engineering leading into project execution phase. -Cronos SURF Project in 1,400 to 2,260m water depth. -Pipeline specialty role available covering the following main responsibilities. -Pre-Commissioning Subcontract lead. -LV108 Shut Down work – Decommissioning and isolation knowledge is essential. -NO102 and PSV lead. Non-Negotiables: • Ensure the Core Competencies of the greater organization are embraced., • Live the Rules: Treat the Life-Saving Rules as non-negotiable principles that guide your daily decisions and routines., • Lead by Example: Show your commitment through your actions and inspire others to do the same., • Speak Up: Act immediately if you see something unsafe or identify a potential risk. Empower one another to intervene with courage and care., • Educate and Share: Continue fostering conversations about the Life-Saving Rules within your teams, ensuring everyone understands their importance and application., • Collaborate: Work together as One Team to make safety a shared responsibility, ensuring no one is left behind., • Goals: Focus on and execute your most important goals., • Feedback: Provide Positive and Instructive feedback on Team’s progress. Lay out the facts, don’t label and be clear., • Vision: Together we will continue to enhance, grow and transform. Key Tasks and Responsibilities: • Liaise with installation team during early project execution to ensure alignment on methodologies., • Work with Field Engineers to develop pre-commissioning execution methodologies for offshore and onshore projects., • Coordinate engineering and planning for the timely execution of the work scope to include Document Deliverable Register management., • Selection of the required pre-commissioning and marine spreads., • Detailed reviewing of internal and external deliverables (drawings, reports, procedures, risk assessments, scopes of work, subcontracts)., • Coordinate the definition and ordering of equipment and installation aids., • Coordinate the preparation of subcontractor scopes of works followed by the award and execution of the subcontract., • Coordinate the preparation of pre-commissioning procedures., • Vetting and approval of pre-commissioning subcontractor personnel, onshore and offshore., • Coordinate mobilizing pre-commissioning equipment and vessels to execute work scopes., • Coordinate testing and load-out of pre-commissioning equipment and installation aids., • Liaise with pre-commissioning subcontractor and offshore project teams to resolve any technical issues encountered during offshore execution., • Coordinate the demobilization of the pre-commissioning equipment, marine spread, and the off-hire of subcontract equipment., • Coordinate Readiness review, Constructability, HAZID and HAZOP., • Work at site and offshore as required by the project., • Prepare MOC's with support from Field Engineers., • Compile and present return of experience and lesson learned documents., • To train and mentor Field Engineers and Senior Field Engineers. Set goals for your team to maintain the Project KPIs., • Work with the Pre-Commissioning Technical Authority to align on pre-com execution methodologies., • Manage pre-commissioning subcontracts., • Support internal initiatives within the pre-commissioning operations group., • Support in variation order request, technical deviation/Queries., • Budget performance management., • Risk Management & Cost Control., • SIMOPS management. Interfaces: The Principal Operations Engineer will maintain strong interfaces with the various disciplines within the business line. The main interfaces for Pre-Commissioning are: • Marine Operations Engineers (Inclusive of ROV & Survey), • Engineering and Engineering Manager, • SCM, • QHSES, • Environmental Specialists, • Vessel Operations Managers, • Marine Construction Manager, • Project Managers and Project Director, • Interface Managers (For Projects that involve Consortium partners & Subsea Connectors), • Hook-up & Commissioning Team, • Flow Assurance Team, • Fabrication Team, • Document Controller Team, • Brownfield Managers Required Experience: • 10 plus years of experience in the oil and gas industry working for major Contractors., • Experience managing a team of more than 6 Engineers., • The following experience is required:, • General experience of all shallow and deepwater water installation operations., • Rigid & flexible pipeline pre-commissioning and decommissioning experience - execution of a minimum of 10 projects., • Umbilical pre-commissioning experience - execution of a minimum of 6 projects.

Hybrid (located near either Slough or Glasgow for office visits 2-3 days a month) Competitive + Bonus + Benefits Permanent full time We’re hiring in AI Operations to lead the end‑to‑end delivery of GenAI initiatives across IRIS International. This is a hands‑on role for someone who wants full ownership of how AI is identified, designed, implemented, and optimised within our teams. The role centres on improving efficiency, accuracy, and productivity through practical AI solutions. You will scope opportunities, build and deploy tools yourself, monitor their performance, and ensure they deliver measurable impact. You’ll work closely with teams across IRIS International, but you will be the primary driver of the AI process from start to finish. Why This Role Matters You will be responsible for identifying where GenAI can make a difference, building the solutions that support those improvements, and evaluating the outcomes. The work you do will have a direct influence on our productivity and day‑to‑day operations, including how teams work, how knowledge is used, and how processes evolve. This is a role where your technical decisions will shape how AI functions across our international operations. What You’ll Be Doing • Analyse operational processes to identify where GenAI can improve efficiency or accuracy, • Scope, design, and build GenAI‑driven solutions end‑to‑end, • Implement AI tools into existing workflows and ensure smooth adoption, • Monitor performance and assess the impact of solutions once deployed, • Refine and optimise tools based on real‑world usage, • Maintain documentation and develop standard operating procedures, • Ensure all AI processes meet best‑practice standards, • Design and deliver training to upskill colleagues on AI tools, • Support teams through workflow changes driven by GenAI adoption, • Collaborate with content teams to improve the knowledge base that powers GenAI accuracy, • Facilitate cross‑team knowledge sharing to encourage consistency and innovation Why This Role Is a Strong Opportunity • Significant ownership across the full AI lifecycle, • Freedom to experiment, design, and implement solutions, • Ability to define standards and shape early‑stage AI foundations, • Exposure to senior stakeholders and cross‑functional teams, • Opportunities to develop technical, operational, and leadership capability, • Direct impact on productivity, workflows, and long‑term operational strategy What We’re Looking For • Technical background in computer science, DevOps, or similar, • Experience designing and implementing AI or automation solutions, • Strong AWS experience (essential), • Excellent problem‑solving capabilities and a creative approach to solution‑building, • Confidence in experimenting, testing, and iterating on new ideas, • Strong communication skills, with the ability to work across different communication styles, • Comfortable working independently with full end‑to‑end ownership, • Ability to combine technical thinking with practical operational understanding Our Application Process • Initial Recruiter Conversation: A first discussion to talk through your experience, the role, and whether it feels like the right fit., • First‑Stage Interview With the Hiring Manager: This will include a short technical assessment, sent to you in advance., • Final Interview With the Hiring Manager and Senior Director: A deeper conversation exploring your approach, capability, and how you would operate in the role. Please note: occasionally we will close applications early due to high volume

Our talented Data & AI team is made up of globally recognized experts - and there's room for more analytical and ambitious data professionals. If you're passionate about helping clients transform their business with the latest AI and data technologies, let's talk. Take your skills to a new level and launch a career where you can truly do what matters. As an Solution Architect within our Data & AI Practice, you'll leverage a client-centric approach to understand our client’s challenges and opportunities to deliver solutions and services that make transformative change and deliver high value business outcomes. You'll engage in solutioning and support on the most strategic opportunities, intervene in high-risk complex deliveries, and contribute to shape the strategic direction using Agentic AI, automation, AI engineering, data platforms, reporting and self-serve analytics.. Avanade is the 7 times Databricks global partner of the year, we deliver over 4000 Microsoft data platform projects annually and deliver more Azure Databricks than any other Databricks partner. Key Responsibilities: • As an architect assigned to a client project, you will typically work closely with delivery teams and client stakeholders to provide technical leadership, shape deals and propositions, drive architectural decisions, create plans and roadmaps, and produce design artifacts., • Play a key role in Avanade's sales process by creating solutions that innovate, inspire and are win new business. You’ll have responsibility for shaping the high-level design, estimates, and contractual details for client proposals in collaboration with other subject matter experts in the business., • As a senior member of the Avanade technical community, you will provide coaching and mentoring to motivate and inspire more junior colleagues from within your team and across the organization., • Have the ability to translate complex technical concepts and solutions and present them in easy to understand language and value based outcomes, to senior business stakeholders, technology leaders and internal sales teams., • Engage in early conversations with clients and/or sales team and support origination and deal qualification, requirements capture and solutioning, recommending best practices and approaches to achieve optimal outcomes, building strong relationship with clients to become the trusted advisor. Prepare and represent the solution in Deal Reviews and play an active role in client presentations, and negotiations with key client buyers., • Work collaboratively with the wider Data & AI leadership to shape our current and future offerings, accelerators, and background IP to support go to market activities., • Lead the development of intelligent data platform projects, building strategic capabilities for our clients. Integrating data from many systems, transforming through lakehouse architectures and making available for reporting, AI and conversational analytics. Requirements for the role - • Awareness of channels to market and how to work in a Databricks and Microsoft eco-system to ensure Customer Success., • High energy intent to help clients understand the fast moving data industry, product and service evolution., • Experience working with stakeholders to create technical visions, high-level architectures, and delivery roadmaps for large programs of work that involve the latest data & AI concepts particularly focused on scaling data use across enterprises., • Capability in creating design artifacts and presenting them for approval at architectural forums attended by multi-disciplined stakeholders from engineering to senior ("C level") client executives., • In-depth understanding of modern Data & AI capabilities such as; structured and unstructured data analysis, streaming data, IoT, AI, GenAI and related topical analytics fields., • Comfortable actively engaging and leading sales and business development opportunities with clients., • Hold Databricks certifications, ideally the Databricks Champion or be able to demonstrate equivalent knowledge and experience. About Avanade - Avanade is the leading provider of innovative digital, cloud, and advisory services, industry solutions, and design-led experiences across the Microsoft ecosystem. The company was founded 25 years ago as a joint venture between Accenture and Microsoft. Back then, digital transformation, automation, and AI weren’t mainstream topics—Microsoft was primarily known for Office 365. But Avanade evolved with the times and is now the number one transformation leader within the Microsoft ecosystem. We have a team of 61,000 professionals in 26 countries. We’re a truly global company with a strong local presence— what I like to call “GLOCAL”: making global impacts on a local level.

Full-Stack Engineer Location: London (Hybrid) Salary: Up to £80,000 + benefits We have partnered with a well-funded, founder-led technology startup operating in the sports and media space, building next-generation systems for processing and analysing live content in real time. As the platform scales, they’re hiring a Full-Stack Engineer to design and deliver high-performance systems across real-time data pipelines, modern frontend applications, and AI-enhanced product features. What You’ll Do as a Full-Stack Engineer: • Own the end-to-end delivery of real-time video, data, and AI-driven analysis across a modern digital content platform., • Design and build resilient backend services using Java and cloud-native infrastructure., • Develop modern, high-performance frontend applications using TypeScript and a modern JavaScript framework., • Architect and maintain real-time data pipelines using event-driven systems and streaming technologies., • Work across cloud-based serverless and containerised infrastructure to deploy scalable, production-ready systems., • Integrate LLM APIs and AI-powered workflows into product functionality and engineering processes., • Leverage AI coding assistants and modern development tooling to accelerate development and automate workflows., • Collaborate closely with a small, high-trust engineering team to ship features quickly and reliably., • Take ownership of system architecture, infrastructure decisions, and production deployments. Core Technology Stack: • Backend: Java, distributed messaging systems, relational databases, Docker, infrastructure as code, • Frontend: TypeScript, modern JavaScript frameworks, • Infrastructure: Cloud-native serverless and containerised environments, • AI Tooling: Regular use of AI-powered development tools and coding assistants What We’re Looking For in a Full-Stack Engineer: • A polyglot engineering mindset with the ability to work across multiple languages and systems., • Strong experience building backend services and distributed systems., • Ability to read, understand, and contribute to Java-based systems., • Frontend experience with modern frameworks such as React, Vue, Svelte, or similar technologies., • Hands-on experience integrating LLM APIs from leading providers., • Regular use of AI tools and coding assistants to increase development velocity and automate workflows., • Strong engineering fundamentals including testing, documentation, security, and performance optimisation., • Comfort working in fast-moving environments where ownership, clarity, and delivery are expected. Nice to Have’s as a Full-Stack Engineer: • Experience in sports technology, live event data systems, or digital media platforms., • Exposure to streaming technologies or real-time data processing frameworks., • Strong experience designing data architectures and large-scale distributed systems. This is a rare opportunity for a Full-Stack Engineer to help shape a real-time digital platform from an early stage, working with modern cloud infrastructure and AI-augmented engineering workflows to deliver high-impact systems.

The Opportunity - (Fully Remote, Perm role) This is a greenfield data platform build. ___ is in the middle of a major AI transformation — a multi‐agent copilot platform (KAI) is already live in production, serving manufacturing clients globally. The AI roadmap is ambitious (agentic AI capabilities, multi‐agent orchestration, voice interfaces), and the next wave of capabilities depends on a strong data engineering foundation. A Databricks lakehouse POC is being evaluated (Unity Catalog, Delta Sharing, PrivateLink to RDS), and the team is assessing the right long‐term analytics platform strategy. This role builds the entire data engineering function from scratch — defining the architecture, tooling, and patterns that power the next generation of AI capabilities. This is an entirely forward‐looking role. While there is an active platform modernisation underway (the engineering team is migrating a .NET platform from SQL Server to PostgreSQL and containerising for Kubernetes), this role’s primary focus is building new data pipelines and analytics infrastructure, not maintaining legacy systems. That said, collaboration with the platform engineering team is important, as the data pipelines need to ingest from both the existing SQL Server estate and the new PostgreSQL databases. Core Technical Requirements • Python — primary language for data pipelines, scripting, and integration with the AI stack. This is a Python‐first team, • SQL (SQL Server + PostgreSQL) — deep experience required across both engines. The platform runs a large‐scale multi‐tenant database estate with per‐client schemas (local, global, corporate). The new platform targets Aurora PostgreSQL, with several modules already migrated. Pipelines must bridge both., • Databricks / Apache Spark — a lakehouse POC is being evaluated with Unity Catalog and Delta Sharing via AWS PrivateLink. Experience with Databricks or equivalent analytics platforms is important for assessing and scaling the right approach, • Apache Kafka — event streaming experience is essential. The platform is evaluating Kafka as the strategic backbone for ordered event logs, consumer group replay, and guaranteed partition ordering as the microservices fleet scales, • ETL/ELT pipeline design — building and maintaining pipelines into a medallion architecture (bronze/silver/gold layers) on Databricks or equivalent analytics platform, • Delta Lake — understanding of lakehouse table formats, time travel, and ACID transaction patterns, • AWS data services — RDS, S3, Lambda, Glue or equivalent. The platform runs entirely on AWS • Linux / CLI proficiency — must be comfortable working AI-Assisted Development Methodology -> Solvace is transitioning towards AI‐assisted development as a core engineering practice. Candidates should demonstrate: • Hands‐on experience with AI coding tools — Claude Code, OpenAI Codex, GitHub Copilot, Cursor, or similar. We’re looking for engineers who have integrated these tools into their professional workflow, not just experimented casually, • Spec‐driven development — ability to write clear technical specifications that can be used to drive both human and AI‐assisted implementation, with strong evaluation criteria and test coverage, • Portfolio evidence — professional projects or side projects that demonstrate AI‐assisted development practices. Contributions to or experimentation with emerging projects like OpenClaw are a strong signal, • Testing and evaluation rigour — experience building robust test suites, automated quality gates, and evaluation frameworks that ensure AI‐assisted code meets production standards Nice-to-Have -> • Apache Flink — for real‐time stream processing as the platform moves from batch to streaming analytics, • Apache Iceberg — experience with open table formats alongside or as an alternative to Delta Lake, • Go or Rust — valued as evidence of strong backend engineering and systems thinking, even though Python is the primary language, • Multi‐tenant data architectures — the platform runs per‐client schemas with tenant isolation requirements. Understanding tenant isolation patterns is a significant advantage, • Terraform / IaC — infrastructure is managed via Terraform; the Databricks POC has been codified in Terraform, • dbt or similar transformation framework, • Manufacturing / industrial data domain experience (sensor data, quality metrics, OEE, SPC), • CDC (Change Data Capture) — the platform is building CDC pipelines for the SQL Server to PostgreSQL transition, • Weaviate or other vector database experience — currently used for semantic search in the AI agent layer Why Join? • Greenfield data platform — the entire data engineering practice needs to be built from scratch. A lakehouse POC is being evaluated but the production architecture is theirs to define — patterns, tooling, and platform decisions from day one, • Direct AI impact — every pipeline they build directly unblocks AI agent capabilities. The KAI copilot is live in production and evolving towards agentic AI — autonomous agents that take actions, orchestrate workflows, and operate across systems. This role provides the data foundation that makes agentic capabilities possible, • Event streaming architecture — opportunity to design and implement a Kafka‐based event backbone, shaping the platform’s real‐time data architecture, • Manufacturing AI — opportunity to work at the intersection of industrial operations and generative AI, a domain with massive untapped potential. Rich, real‐world data: quality inspections, KPIs, maintenance records, safety observations, process parameters across global manufacturing sites, • Small team, high autonomy — the Innovation Hub operates with startup‐level autonomy inside a funded, growing company, • Leadership trajectory — the data function is critical to the platform and will grow. As an early hire, there is an open career path that will grow with the function — earned, not guaranteed

Job Description: iOS Engineer at everyLIFE Position Type: Permanent. Location: UK-based Remote. Head Office located in Farnborough, Hampshire. Benefits include: 25 days holiday + 3 additional days over Christmas, early finish Friday, private medical insurance, life insurance, Cycle-scheme, free non-fiction book scheme. Working Hours: Full time Following the successful launch of PASSgenius™, our cutting‑edge suite of AI, data, and automation tools, we’re entering an exciting period of rapid growth. To accelerate what comes next, we’re searching for a full‑time iOS Engineer to join our fast‑moving, feature‑rich app team. The Role • Be part of a team of highly skilled engineers to deliver polished features on consistent basis in a high pace environment. We deploy code every two weeks to thousands of users., • Directly responsible for the development and deployment processes – make sure that the features are shipped optimally, and product stays healthy once they hit production., • Design, review, write and test code. This is hands-on engineering role, and you will be directly involved in the design and development of new features, writing, reviewing and testing code., • Insist on the highest standards and create functional and engaging features that will delight our users., • Provide feedback to teammates to make your team the best version of itself. Desired Skills • Bachelor’s degree in Computer Science or related field, or equivalent experience, • 4+ years of experience with iOS mobile app development, • Good working knowledge of iOS platform, Swift, GRDB, SwiftUI, Combine, • Good communication skills and the ability to work effectively in a remote team environment, • Attention to details – any code that makes it into the product directly impacts the lives of people being cared for, • Strong computer science fundamentals in object-oriented design, algorithms and data structures, • Self-starter, analytical and creative, • Strong team player with a positive attitude, • Experience writing clean, testable, high-quality code, • Good understanding of object oriented and SOLID principles, and clean code architecture, • Experience writing apps using The Composable Architecture, • Good experience with writing unit tests, • Familiar with git and/or git-flow, Bitbucket, JIRA, Confluence, Bitrise, Bugfender Bonus • Experience in Agile methodologies such as Scrum or Kanban, • Good knowledge of test automation using XCUITest, • Good understanding of material design and offline first UX/UI, • Knowledge of Android platform, Kotlin, Room, Coroutines, Koin Our mission is to create effective tools and services that release the potential of care teams. Established in 2014, everyLIFE Technologies is a fast-growth SaaS provider primarily to the UK social care market. We exist to support care services to be the best that they can be. We design, build, release, manage and support software and mobile applications that are crucial parts of the care being given to tens of thousands of people across the UK. We must get it right, every day! Our ideal teammates are thoughtful, humble, curious, achievement-oriented professionals who can both zoom into the details and zoom out to embrace the big picture. We are customer-led and always aim for the highest standard. We believe in being transparent in all our dealings; acting fairly, openly, and honestly in everything we do. Please note that this is a UK based role, and we are only able to accept applicants with the right to live and work in the UK without the need for sponsorship. If you are on a visa and interested in applying for this role, please contact us for further information. If you have any questions, please email Due to the high volume of applicants that we receive, we cannot always guarantee that you will receive a response.

Founding Engineer Wellbeing Intelligence · Healf The builder. The one who is genuinely obsessed with what comes next. Not the technology stack. Not the architecture pattern. The thing underneath: the systems instinct, the zero-to-one appetite, the compulsion to build things that actually scale. You might be a staff engineer at a growth-stage company. You might be a principal at a larger tech firm who’s been quietly architecting the product others will inherit. There are engineers who built the first versions of Spotify’s recommendation engine, Monzo’s core banking layer, and Deliveroo’s dispatch system, products that now feel inevitable, who started exactly where you are now: staring at a blank canvas with a hard problem and no playbook. We don’t care about the title. We care about whether you have the technical depth to design a system from first principles, the product intuition to build for real users, and the conviction to make decisions with long-term consequences when no one is looking over your shoulder. Healf is Europe's fastest-growing health platform. £100M+ revenue run-rate. 700k+ customers. A high-retention, high-margin marketplace. Strong brand and distribution. We curate the world's best wellbeing products across EAT, MOVE, MIND, and SLEEP. That's the first chapter. The next chapter is harder and more interesting. Today, wellbeing decisions are primitive. Customers guess. They follow influencers. They try products and hope. We are building the system that changes that. A personalised wellbeing intelligence engine that understands behavioural patterns, captures longitudinal health data, and builds smart AI agents that help customers solve their wellbeing needs. A closed feedback loop. A decision engine, not just a marketplace. If we get this right, we don't just sell products. We become the operating system for how the world lives well. This is a 0→1 opportunity to build a net-new business line that could drive up to £250M in annual revenue in the next three years. You will build it from scratch. Why this role is Healf At Healf, we think engineering judgment is one of the most important forms of capital allocation in the company. Every architectural decision made in the next twelve months determines what is possible in the next five years. Every hire you make changes what the platform can become. That is why we do not see this as a conventional engineering leadership role. Engineering leadership is the functional label. Defining what a next-generation wellbeing intelligence platform looks like is the real job. We are not laying down tracks. We are deciding where the train goes. Somewhere right now there is a principal engineer at a Series B health-tech company who has spent three years making the right calls quietly. Who designed the system that works. Who has said no to things that looked fast but would have cost the company two years of rework. That person probably has never heard of Healf. They wouldn't click on a LinkedIn InMail. But if someone who understood what they actually cared about reached them with the right story at the right moment, they would listen. There is also a founding engineer at a well-known consumer tech company who is twelve months past the point where the work became maintenance. Who built the thing, watched it scale, and is now ready to build the next thing. They are not looking. But they are ready. These are the people we want. And this is the role those people will take. What you’ll own → The architecture. You will design the full wellbeing intelligence stack from first principles. Backend, data, ML systems. Infrastructure capable of learning from live user interaction. The choices you make in the next six months will define what's possible in year three. You will own those choices. → The build vs buy decisions. Every platform team reaches these inflection points. You will own them with authority and with the context to make them well. → The engineering principles. Not a style guide. The actual principles that govern how your team thinks about quality, velocity, and long-term consequences. You will define what good looks like here. → The technical strategy. You will partner directly with the CTO. This is not advisory. You will have real authority over the direction of the intelligence layer and the product platform it powers. → The team. You will grow and mentor the engineers who build alongside you. Every person you bring in raises the floor. You will build the nucleus that scales wellbeing intelligence. → The product feedback loop. You will work cross-functionally with Product and Design to ship. You will build via continuous experimentation. You will be close to real users and real outcomes. What you'll deliver in the first 12 months → A production-grade intelligence layer powering personalised decisioning for hundreds of thousands of customers → A scalable data architecture designed for international growth from the start → A high-talent engineering nucleus built around your judgment → Clear product differentiation driven by intelligence, not curation alone → A platform that others in health tech study and try to replicate Why you’re Healf You have built something from zero. Not joined after product-market fit. Not inherited a working system. You architected something from the beginning and watched it scale to meaningful usage. You know what that feels like in both directions — the early ambiguity and the later scale. You have made platform-level decisions with long-term consequences. And you have lived with them long enough to know which ones you got right. You have built or integrated ML and data-driven systems in production. Not in notebooks. Not as experiments. Shipped, live, used. You have influenced technical direction beyond your immediate team. Not through authority. Through judgment that others trusted. You have operated in a high engineering bar environment where architectural thinking was respected and expected. You are not looking for the next job. You are looking for the thing worth building next. The reality This is hard. It requires speed and precision. It requires building for scale without overbuilding. It requires making good decisions in conditions of genuine ambiguity, with real consequences, and without the luxury of consensus. You will sometimes be wrong. What matters is that your judgment compounds over time and your errors get smaller as the system gets bigger. If you want to spend the next two years building something foundational that others will be building on for a decade, this is that opportunity. Show us → A system you architected from zero. What were the first principles you started from? What did you get right early that saved you later? What did you get wrong, and how did it shape the next decision? → A build vs buy decision with real stakes. What did you choose, why, and what happened? → A moment where you saw how something would break six months before it did. What did you do with that knowledge? → An engineer you hired or developed who became better than you expected. What did you see in them that the CV didn't show? → Evidence that you can work at the intersection of engineering and product. Not just clean systems. Systems that serve real users. The deal Competitive base. Meaningful equity. Direct access to leadership from day one. We ask a great deal of the people who work here. Full ownership. Genuine commitment. Everything you have, for this chapter. In return, we will give you the same: the resources to build properly, a team worth leading, and the creative authority to do work that defines your career. We have built the fastest-growing health company in Europe with a team small enough that every person in it shapes the outcome. That is still true today. The next person we hire will change the trajectory of the platform. If the most important work of your career is ahead of you, this is the place to do it.

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

An exciting opportunity exists for a senior electrical leader to provide technical authority across a growing portfolio of hyperscale data centre developments in the UK and Europe. This is a client side opportunity for a hyperscale developer. Reporting to the Head of Construction, this role operates at portfolio level, not site level, shaping, assuring, and protecting the delivery of critical high- and medium-voltage infrastructure across multiple live projects. This is a position for someone who understands that in hyperscale environments, power is everything. The Role You will act as the subject matter expert for HV and MV electrical infrastructure, ensuring systems are delivered safely, reliably, and in full compliance with performance and operational standards. Working across design, construction, commissioning, and handover phases, you will: • Provide senior technical leadership across multiple hyperscale developments, • Oversee and assure HV/MV infrastructure delivery from concept through energisation, • Maintain governance frameworks that provide clear visibility of risk, progress, and performance, • Support design reviews and challenge technical solutions where required, • Ensure commissioning readiness and structured handover to operations, • Identify and mitigate technical and sequencing risks early, • Engage directly with utilities, OEMs, contractors, and delivery partners, • Contribute to commercial and procurement decisions where power infrastructure is business-critical, • Drive continuous improvement in standards and delivery processes as the portfolio scales The Profile This role requires an experienced HV professional who: • Has delivered complex HV/MV infrastructure on large-scale or mission-critical projects, • Understands grid interfaces, substations, and critical power distribution, • Is confident operating at programme and executive level, • Brings strong risk awareness and technical judgement, • Can influence delivery partners without direct line management, • Thrives in fast-paced, growth-focused environments, • Data centre or mission-critical experience is highly desirable.

🚀 About Webigence and Spark Travel Webigence has 25 years of experience crafting UX‑first, often highly complex software. Our engineers pair forward‑thinking agile practices with an obsession for intuitive design, shipping products that feel effortless even when the logic underneath is anything but. Alongside a handful of long‑standing third‑party clients, we’re scaling our own SaaS product—Spark Travel—at pace. You’ll join a smart, collaborative team that pushes each other to articulate and defend every architectural decision in pursuit of best‑in‑class software. Spark Travel itself is on a mission to drag the tailor‑made travel industry into the 21st century. Our cloud‑native platform unifies sales, supplier contracting, dynamic pricing, and on‑trip operations—everything from the first quote to the traveller’s safe return. The market is huge, the incumbents are slow, and we already have meaningful traction: roughly 35 customers and an accelerating sign‑up pace, a very healthy sales pipeline, and a roadmap brimming with genuinely novel features. With a fantastic existing team across engineering, product, customer success, marketing, and sales, we’re gearing up for hyper‑growth. We’re looking for two down‑to‑earth professional, a conscientious Senior Software Developer, to build on what already works and unlock our next wave of innovation. 🌟 Your Impact • Raise the bar sensibly. Whether you’re refining our Azure architecture as CTO or shipping revenue‑critical features as Senior Dev, you’ll set high standards without reinventing the wheel., • Champion intuitive user experiences. Both roles care deeply about usability, ensuring our platform feels effortless for travel pros and their travellers., • Own the craft. Understand the problem, ship the solution, measure the outcome—and when something’s working, double‑down on it., • Move the needle. Your work will streamline the day‑to‑day of leading tailor‑made tour operators and DMCs—enhancing trip experiences for their travellers as we scale. 🧭 Role Snapshot 2️⃣ Senior Software Developer • Be UK‑based (remote within the UK) with ability to attend occasional team meet‑ups in London (travel expenses covered)., • Design, build, and maintain features across the stack: .NET (C#) based API backends, Angular (TypeScript) based frontends, SQL Server, Cosmos DB., • Own mission‑critical modules such as pricing engines, itinerary or form builders, client proposal app, etc., • Write clean, tested code; automate everything from CI/CD pipelines (Azure DevOps/GitHub Actions) to performance benchmarks., • Investigate and diagnose issues and perform root cause analysis., • Collaborate cross-functionally with Product, Design, and Customer Success., • Propose incremental improvements and occasionally explore new tech (e.g. Azure OpenAI) when it clearly solves a problem. You might be our Senior Dev if… - Hold a 1st-class or 2:1 degree in Computer Science or a closely related discipline. - 4+ years building modern web or data applications with .NET and at least one JavaScript framework. - Hands-on experience with Azure or another major cloud provider, plus an understanding of microservices and event-driven architectures. - You love balancing delivery speed with technical excellence, and you’re keen to keep learning. 🎁 What We Offer • Competitive salary, equity options coming soon, • Remote‑first culture with asynchronous workflows, • Private healthcare, • Employer pension contributions above statutory, • Home‑office setup budget, • Coworking space allowance, • Flexible hours with async core overlap, • Professional‑development budget, • Conference & certification leave, • Choose‑your‑own‑tech toolkit, • Travel‑to‑London expenses for required in‑person meetings, • Collaborative and innovative company culture 📩 How to Apply • Send your CV., • Confirm you are currently living and legally able to work in the UK., • Share one project or decision you’re proud of, why it mattered, and what you learned. Please note: We are only considering UK‑based applicants who fully meet the role criteria. Applications that do not comply will not be considered now or in future hiring rounds. Deadline: 15th March 2026 (rolling review—apply early). Spark Travel is an equal‑opportunity employer and a welcoming neurodiverse team. We celebrate diversity and are committed to creating an inclusive environment for all. We’re not just saying that, we really mean it!

Software Engineer (Mid–Senior) | Energy Tech | London, Hybrid We are building the software layer for a decarbonised grid... code that directly controls EV chargers, home batteries, heat pumps. The platform uses ML to predict energy demand in real time and shift load to when power is cheapest and cleanest! We've raised $10M+, backed by investors with early stakes in Slack, Meta, and BeReal, and growing quickly! Backend-heavy Python, though spanning product, devops, and data engineering too. You'll write production code managing tens of thousands of physical assets, talk to clients, get feedback from users, and work directly with energy market operators. Real constraints, real consequences. Stack: Python, GCP, Typescript, Docker, Figma. The role • London: hybrid, 2-3 days onsite at a dog-friendly office near Old Street, • Competitive salary + meaningful equity ✈️ They're actively looking to build a diverse team and encourage applications from candidates who don't fit the traditional mould - if the mission resonates, apply now!

Full Stack Software Engineer London (On-site) This is a hands-on software engineering role focused on building systems that directly run and optimise modern factories. The software is deployed into live production environments and is responsible for automation, real-time data, and operational decision-making. You’ll work across the full stack, from backend services and infrastructure to user-facing tools used on the shop floor. The role offers real ownership, fast iteration, and close collaboration with operators and leadership to solve practical, high-impact problems. This environment suits engineers who enjoy autonomy, moving quickly, and seeing their work have immediate impact in the physical world rather than purely digital products. What you’ll do: • Build and own full-stack systems used in live factory operations, • Ship and iterate software directly in production environments, • Work closely with operators and leadership to remove operational bottlenecks, • Take features from concept through deployment with full ownership Nice to have: • Strong frontend or UX sensibility, • Experience at early-stage startups or as a founding engineer, • Exposure to industrial, manufacturing, aerospace, or defence environments, • Experience working with real-time systems or operational software

Head of Data Science 📍 Flexible / Hybrid | Early-Stage | High Impact 🚀 The Future of Fashion Discovery As a female-founded startup at an exciting inflection point, we’re shaping something genuinely game-changing. This isn’t just a product. It’s a movement. And we’re looking for a brilliant Head of Data Science to help lead the charge. You’ll own and build the intelligence at the heart of the platform — personally designing, building, deploying and iterating on production AI systems while shaping long-term data and AI strategy. You’ll work shoulder-to-shoulder with founders, product and engineering to decide: • What to build, • What not to build, • When “good enough” is the right answer What You’ll Own 🔬 Hands-on AI & Data Leadership • Personally design, build and deploy production computer vision and agentic AI systems powering search, discovery, recommendations and personalisation, • Own the full lifecycle: problem framing → data exploration → modelling → evaluation → deployment → monitoring → iteration, • Translate messy user problems into clear, testable interventions, • Partner deeply with Product to optimise for trust, confidence and discovery — not just offline metrics, • Work hands-on with imperfect datasets, • Design annotation strategies, quality checks and evaluation frameworks from scratch, • Establish pragmatic MLOps practices (CI/CD, deployment, monitoring, alerting), • Build scalable but lightweight pipelines (AWS), • Set a strong technical and ethical bar for data science, • Mentor future hires as the team grows, • Proactively address bias, representation and fairness in AI systems, • Align technical decisions with company values around individuality and body confidence, • Evaluate and drive adoption of AI productivity tools across Product & Engineering, • Embed AI-assisted development into day-to-day workflows, • 3–5 years in a technical leadership role, • Proven track record delivering AI/ML products from inception to production, • Deep hands-on expertise in at least one core ML domain (strong preference for computer vision and/or generative AI), • Experience with LLMs, conversational AI and evaluation of generative systems, • Strong MLOps and engineering mindset, • Hands-on with AWS, Python, SQL and modern ML tooling, • Strong data engineering and annotation strategy experience, • Experience leading teams and working with senior stakeholders, • Comfortable in fast-moving, evolving environments, • Simplicity mindset: start simple, add complexity only when necessary

Full-Stack (Angular + UX Focus) Full-time | Hybrid | Startup Environment Location: Central London Job Summary We’re looking for a motivated and curious Full Stack Engineer to join our early-stage startup based in London. We’re building an industry-specific productivity management tool, AI-powered, supported by strong investment and high-profile partners. In this role, you’ll work closely with the founding team to design and build user-friendly, responsive interfaces for our B2C productivity management web application. This is an exciting opportunity to contribute to a groundbreaking initiative and help shape the future of productivity. You’ll gain hands-on experience, contribute to real features, and grow your skills in a fast-paced, collaborative environment. From refining user journeys to implementing front-end components using modern tools and frameworks, your work will have real impact. What You’ll Do • Build and maintain responsive, user-focused interfaces using Angular and TypeScript, • Design and implement scalable full-stack architectures from scratch, • Develop backend services using Encore TS (experience with Express is highly transferable and sufficient), • Build and consume APIs, ensuring clean data flow between front-end and back-end, • Work with PostgreSQL and Prisma for data modeling and persistence, • Deploy and maintain services on Google Cloud Platform (GCP), • Build and maintain mobile applications using Capacitor, • Style applications using Tailwind CSS (and maintain existing SCSS where needed), • Write clean, maintainable, and efficient code across the stack, • Debug, troubleshoot, and optimize performance for a seamless user experience, • Collaborate closely with the founding team on product decisions, feasibility, and timelines, • Use Git for version control and collaborative development, • Write basic tests to ensure reliability of components and features What We’re Looking For • Experience as a Full-Stack Developer, • Hands-on experience with:, • Angular & TypeScript, • Express.js (or similar Node.js frameworks), • PostgreSQL, • Prisma, • Tailwind CSS, • Google Cloud Platform (GCP), • Capacitor for mobile development, • Comfortable working across both front-end and back-end codebases, • Experience working with APIs and structured data, • Familiarity with Git and common version control workflows, • Proactive, curious, and comfortable working in a small, fast-moving startup team Bonus Points • Experience with Encore TS, • UX or design sensibility, especially for productivity tools, • Familiarity with Figma or similar design tools, • Interest in accessibility and inclusive design, • Experience building personal, freelance, or startup projects Reporting: This position will be reporting directly to the founder. Salary and Benefits: To be discussed during the interview process.