Trabajos product design engineer en Reino Unido - Page 2

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.

Storefront Engineer – Shopify UK | Hybrid | Full-time | £45–50k DOE The Role The Storefront Engineer will take ownership of the company’s Shopify storefront and work closely with the Growth team on feature development, conversion rate optimisation (CRO) experiments and improvements to the underlying codebase. This role suits someone who enjoys identifying opportunities to improve performance, testing new ideas and contributing to growth initiatives rather than simply executing tasks. There will be significant scope to influence storefront performance, architecture and experimentation processes. Working Approach The company treats its storefront as a product and runs continuous experiments to improve performance and conversion. Engineering and Growth collaborate closely to launch ideas quickly, measure their impact and iterate. Key Responsibilities • Own and develop the front end of the Shopify storefront, building and deploying new features., • Collaborate with the Growth team to design, implement and analyse CRO experiments including A/B tests, landing page variations and funnel improvements., • Implement and maintain analytics tracking to measure marketing and experiment performance across the funnel., • Translate design and growth concepts into high-quality front-end experiences., • Continuously optimise performance and page speed with a focus on Core Web Vitals., • Explore AI-assisted development tools and automation platforms to improve development workflows and support marketing automation., • Contribute ideas for experiments, improvements and new features that could drive conversion and growth., • Maintain clean, scalable front-end code and contribute to improving the overall codebase. Potential Projects (First 6–12 Months) • Deliver custom website features designed to improve conversion rates, • Develop landing page frameworks to enable faster experimentation, • Improve storefront performance, SEO and page speed, • Expand analytics tracking across the customer journey, • Reduce reliance on third-party apps by building lightweight internal solutions Candidate Requirements • 2–4 years of experience building production front-end web applications, ideally within ecommerce or direct-to-consumer environments, • Shopify experience is preferred, although strong front-end developers willing to learn the Shopify ecosystem and Liquid are encouraged to apply, • Strong foundations in HTML, CSS and JavaScript, with experience working in Git-based workflows, • Experience implementing or contributing to CRO experiments and testing backlogs, • Interest in AI development tools and automation within development workflows, • Strong attention to detail and good instincts for UX and conversion optimisation, • Comfortable working in a collaborative, fast-moving environment where engineering and growth teams work closely together Desirable Experience • Experience with HubSpot and other DTC martech tools., • Exposure to Tracklution and event-based analytics setups., • Experience with marketing automation or no-code / low-code tooling, • Personal interest in design-led consumer brands, culture or lifestyle products Working Arrangements Hybrid working is supported, with team members typically expected to spend 2-3 days per week in the office to collaborate closely with colleagues and gain insight into customer behaviour and feedback. Package • £45,000–£50,000 depending on experience, • Company pension, • 25 days holiday plus bank holidays, • Staff product discount, • Equity package, • Opportunity to contribute to the growth of a premium consumer brand Diversity & Inclusion The client is committed to building a diverse and inclusive workforce and welcomes applications from individuals of all backgrounds. All qualified applicants will receive consideration regardless of race, religion, gender identity, sexual orientation, disability, age or background.

Our client, Hesta Health, is reimagining women's healthcare starting with postnatal care. Women spend approximately 25% more of their lives in ill health than men, representing a $1 trillion annual lost opportunity globally. Hesta is changing that, and they want a brilliant engineer to help build it. Fresh from closing their seed round, they're hiring their first Founding Engineer. You'll be the technical backbone of the company — working directly with two exceptional co-founders and their founding team to ship Hesta v1 and lay the foundations for what comes next. The Role This is a rare chance to join a mission-driven healthtech startup at day zero and own the entire technical build. You'll work across the stack — frontend, backend, infrastructure — while embedding clinical-grade reliability, data privacy, and AI capabilities from the ground up. What you'll own: • Build end-to-end product features across the full stack (frontend, backend, infra), • Integrate AI/ML capabilities — risk stratification, smart triage, personalisation, • Build privacy-first, regulatory-compliant infrastructure (UK GDPR, NHS DSPT, MHRA), • Shape and evolve the architecture and technical foundations as the company scales, • Establish a lightweight QMS to enable audit-readiness and regulatory compliance, • Contribute to a fast, iterative product loop — design, ship, learn Who You Are Essential: • 5+ years in high-impact, early-stage product teams: you've shipped and scaled full stack products, • Strong backend (Node.js, Python/Flask, FastAPI) and frontend (React, Next.js, Vue) fundamentals, • ML/data science proficiency: Python, SQL, pandas, scikit-learn, PyTorch/TensorFlow, • Experience with cloud platforms (AWS, GCP, Azure) and containerisation (Docker, Kubernetes), • Proven ability to build data-secure, privacy-compliant infrastructure, • Product-minded: you think in outcomes, not just code, • Startup-ready: resourceful, comfortable with ambiguity, bias to action Bonus: • Experience in women's health, digital therapeutics, or regulated healthtech, • Deployed LLMs or predictive models in production environments, • Familiarity with FHIR, HL7, or secure health data pipelines, • Hands-on LLM work: prompt engineering, RAG, fine-tuning (LoRA/QLoRA) The Package • Competitive salary + meaningful equity, • Work directly with and be mentored by two highly experienced co-founders, • Spacious office in Victoria (bike storage, changing facilities, good coffee), • 25 days annual leave + public holidays, • Immediate, company-defining impact — this is day zero Interview Process • Values & Competencies interview (1 hour, virtual), • Technical interview — 90 mins (45 min chat + 45 min live task), • Final 2-hour in-person interview with co-founders Hesta strongly encourages applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds. Interested? Reach out to Kelly Gauthier () or George Alexander ()

About Us We are an early-stage fintech startup re-wiring the global payments infrastructure. Today, sending money across borders is slow, expensive, and fragmented. We're here to fix that—making instant cross-border payments a reality. We’re building a new kind of payments network from scratch. No legacy systems, no tech debt. Just a clean slate, strong vision, and very high standards. We’re backed by deep industry experience and are building a small team of exceptional engineers and builders in London. Now we’re looking for a GTM Engineering Intern to work directly with the founder to build an AI-driven pipeline engine that helps drive growth and revenue. This internship can turn into a full-time role for the right person. This role is ideal for a final-year student who spends their nights building AI products in Lovable, Bolt, Cursor or Claude Code instead of just sending CVs. The Role Most companies hire SDRs to manually send emails and spam LinkedIn. We won’t. Instead, we want to build an AI-native go-to-market engine that finds the right companies, understands them, and reaches out intelligently at scale. Your job will be to design and build this system. You’ll work directly with the founder and Sr Engineers to: • Build an agentic GTM system that autonomously discovers, researches, and prioritises target companies, • Design AI agents that can generate highly personalised outreach, • Build pipelines that continuously improve messaging, targeting, and conversion, • Integrate data sources (LinkedIn, company databases, CRM, etc.), • Experiment rapidly with LLMs, APIs, and automation tools, • Build internal tools that help us turn AI into revenue This is a hands-on, high-impact engineering role. You’ll ship fast, experiment constantly, and own real systems that affect company growth. What We're After You are an engineer first. But you’re also fascinated by AI, automation, and building systems that do work for you. You likely: • Love building things quickly and experimenting, • Use AI tools daily to code faster and think better, • Have high agency and take ownership of problems, • Python or TypeScript, • LLM APIs (OpenAI, Anthropic, etc.), • APIs and data pipelines Desirable • Experience building AI agents or automation workflows, • Experience with web scraping, data enrichment, or APIs, • Built side projects using LLMs, • Familiar with tools like LangChain, vector databases, or workflow automation, • Interest in startups or building your own company one day What You'll Gain • Work directly with the founder on a mission-critical system, • Learn how AI-native companies actually build growth engines, • Build real systems that drive pipeline and revenue Why Join Us? Build from 0 → 1. You’ll help build the first version of an AI-native GTM engine inside a company trying to reinvent global payments. Real ownership You won’t be shadowing someone. You’ll build systems that the company depends on. Learn extremely fast Small team. High expectations. Real problems. Work with intensity and purpose, in-person in London with a small team of true builders. Why You Shouldn’t Join You want a safe internship where expectations are low. You want clear instructions and a well-defined role. You don’t enjoy experimenting or shipping quickly. You think AI is mostly hype. Logistics Location: Hybrid - London (in-person) Timing: Final term internship with potential full-time conversion Compensation: Competitive internship salary No visa sponsorship available. Build Challenge (Highly Encouraged) We care much more about what you can build than how polished your CV is. If you want to stand out, build a small visual GTM project for a B2B fintech. Use whatever you want: Lovable, Bolt, Claude Code, Cursor, Python, TypeScript, OpenAI, Anthropic. We do not care about the stack. We care about taste, speed, and how you think. Your project should show us how AI could help a fintech generate pipeline. Please send: • A link to the project, • A short Loom walking through it, • A few lines on what you used AI for when building it It does not need to be perfect. We care about initiative, product instinct, speed, and quality of thought. Applications without examples of things you have built will likely be ignored. To Apply Please send: • Your CV, • A short note on why you want to join

Rome / London / Fully Remote only for exceptional candidates, with periodic travel to team locationcontract 12-month full-time contract, with high-potential for long-term continuation April / May 2026 About Hoshi Digital Hoshi Digital is a London-based digital transformation company founded in 2023 by seasoned professionals with deep roots in enterprise technology delivery. We are now firmly focused on AI product development, building proprietary, production-grade systems for enterprise clients across Europe. We work at the intersection of research and delivery. We build things that actually ship. About This Engagement You will be joining a confidential, high-priority project involving the design and delivery of a sophisticated AI platform built around computer vision, multimodal reasoning, forensic image analysis, and hybrid edge-cloud inference. The platform will be trained on a proprietary dataset of over 500,000 labelled real-world images and must operate reliably across both online and offline environments. The project is structured across five interconnected AI modules, each requiring primary models, fallback strategies and EU-hosted alternatives. It integrates with enterprise CRM infrastructure and is designed for full production deployment within 12 months. A preliminary technology selection has been made as a starting point. It includes SAM 2, YOLO11-seg, LLaVA-Next, DINOv2, LoFTR, Stereo-IMU, Depth Pro, Milvus, and EU-hosted alternatives via Regolo.ai. This selection represents our best current thinking — not a locked specification. The AI landscape is moving fast enough that some of these choices may be superseded by better tools before or during the build. We expect the Lead AI Architect to treat this stack as a hypothesis, validate it rigorously, and replace any component where a superior alternative exists at the time of implementation. The complexity is real. The timeline is fixed. The dataset is substantial. The stakes are high. The Role As Lead AI Architect, you are responsible for the overall technical architecture, model orchestration, and delivery integrity of the platform. You will make the critical decisions — on model selection, edge vs cloud inference, data pipeline design, fallback strategies, and EU compliance — and you will own the consequences of those decisions through to production. You will lead a hybrid team of five senior engineers and various specialised AI agents that will be created in the initial phase of the project to assist the team. You will also serve as the primary liaison with an academic research partner responsible for the R&D and certification of one of the platform's core security modules. Beyond the technical, you are the person who holds the team together. You create the conditions for constructive disagreement, mutual accountability, and honest communication. You are comfortable having difficult conversations and skilled at bringing people to a conclusion without leaving casualties. You are the "enabler", not the "boss". This is not a role for someone who has only worked in research, or only in engineering. You need to have done both — published work and shipped systems. You understand that in a fast-moving AI landscape, the right architecture today may need to be partially rebuilt in six months, and you plan accordingly. What You Will Be Responsible For • Reviewing, validating and where necessary replacing the preliminary technology selection based on the state of the AI landscape at the time of implementation, • Designing and owning end-to-end technical architecture across five AI modules and two operational applications, • Orchestrating the full model stack across vision, multimodal reasoning, forensic analysis, 3D metrology and vector search, • Leading the data pipeline strategy for a 500,000 image proprietary dataset — anonymisation, auto-labelling, structuring and training readiness, • Defining and managing fallback model strategies for offline and low-connectivity environments, • Ensuring EU data residency and compliance requirements are met across all model and infrastructure choices, • Liaising with an academic research partner to translate R&D output into production-ready components, • Mentoring and guiding the Computer Vision Engineer, ML Engineer, Senior Mobile Developer, Backend and Data Engineer, and Salesforce Integration Specialist, • Maintaining architectural coherence as requirements evolve and as the AI landscape shifts during the build period, • Building and sustaining a team culture of constructive challenge, accountability and mutual respect What Makes This Role Exceptional The technical complexity of this project is not manufactured to sound impressive on a job description. You will be architecting a real production system, on a real timeline, with a real proprietary dataset, for a real enterprise client. Every architectural decision you make will have measurable consequences. You will have genuine autonomy, a capable team, an academic partner for the research-heavy components, and the freedom to challenge every technology choice on the table. If you are the kind of person who finds complexity energising rather than exhausting, this role was built for you. How We Hire We do not recruit on CVs alone. Shortlisted candidates will complete a structured technical and behavioural assessment designed to evaluate depth of knowledge, problem-solving approach, and team fit. We are assembling a team that works well together, not just a collection of skilled individuals. What We Are Looking For • 10 to 15 years of hands-on AI and machine learning experience, with demonstrable production deployments at scale, • PhD in Artificial Intelligence, Computer Science or Machine Learning strongly preferred; publications in computer vision, multimodal AI or related fields are a significant advantage, • Broad and current knowledge of the AI model landscape — you know what exists, what is emerging, and how to evaluate competing tools objectively, • Experience designing hybrid edge and cloud inference architectures with offline-first constraints, • Proven ability to lead senior technical teams through complex, fast-moving projects where the ground shifts beneath you, • Comfortable operating at the intersection of academic research partnerships and commercial delivery, • A natural ability to facilitate difficult technical conversations and bring a team to constructive conclusions without ego or politics, • Fluency in English required; Italian is a strong advantage, • A genuine belief that AI agents are collaborators, neither a threat to skilled engineers, nor a tool.

Senior Systems Engineer, Data Management, London Our field sales professionals rely on proactive technical support during the sales process – and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the UK, based London What you’ll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: -Build and lead relationships for highly sophisticated customer accounts -Conduct customer needs analysis and anticipate requirements beyond existing solution’s scope -Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities -Verify operability of sophisticated product and service configurations within the customer’s environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role: Technical Skills · Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). · Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). · Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats · Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). · Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. · Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. · Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). · Analytics, BI, and data science · Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. · Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. · Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills · Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. · Can translate ambiguous business problems into clear data and analytics use cases. · Storytelling & communication · Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. · Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). · Demo & POC excellence · Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. · Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. · Competitive positioning · Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: · Cloud data warehouse or lakehouse migrations · Enterprise BI modernization/self-service analytics · GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications · Real-time or streaming analytics · Advanced analytics / data science enablement · Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse) Who we are We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here. Job ID:R285938

Role: Senior AI Engineer – M&A & Platform Modernisation Location: London (Hybrid) Employment Type: Permanent Level: Senior / Lead Reporting to: Head of AI / Engineering Director Role Overview We are looking for a Senior AI Engineer with deep experience operating in M&A environments and delivering AI‑enabled application and platform modernisation (“ACP‑isation”) initiatives. This role sits at the intersection of AI engineering, cloud platforms, and enterprise transformation, supporting acquisitions, carve‑outs, and post‑merger integration through scalable, production‑grade AI solutions. You will work closely with architecture, cloud, data, and business stakeholders to accelerate value realisation across complex technology estates. Key Responsibilities AI Engineering & Delivery • Design, build, and deploy production‑grade AI/ML solutions, including:, • LLM‑enabled applications (RAG, agents, copilots), • Predictive models and intelligent automation, • AI services embedded into modernised platforms, • Own end‑to‑end AI lifecycle: discovery, PoC, productionisation, monitoring, and optimisation, • Support technology due diligence from an AI, data, and architecture perspective, • Analyse and rationalise overlapping application stacks, data estates, and AI capabilities, • Design AI‑led approaches for:, • Post‑merger integration, • Carve‑outs and separations, • Rapid capability uplift in acquired entities, • Lead AI components of application modernisation and platformisation programs, • Migrate legacy or fragmented AI workloads to cloud‑native, containerised platforms, • Embed AI into modern architectures:, • Event‑driven systems, • Microservices, • Data platforms and control planes, • Work with cloud and enterprise architects to define target AI architectures, • Collaborate with product owners, data engineers, and platform teams Core Technical Skills • Strong hands‑on experience with Python, and at least one of:, • TensorFlow, PyTorch, scikit‑learn, • Practical experience with LLMs and Generative AI, including:, • Prompt engineering, • Retrieval‑Augmented Generation (RAG), • Agentic workflows, • Experience deploying AI on cloud platforms (Azure, AWS or GCP), • Proven experience working in M&A, carve‑out, or post‑merger integration contexts, • Comfortable operating in ambiguous, high‑pressure transformation environments, • Application and platform modernisation (legacy → cloud‑native), • AI embedded into enterprise platforms, control planes, or shared services, • Strong stakeholder communication and documentation skills, • Ability to balance speed vs. risk in commercial M&A situations, • Experience in regulated environments (financial services, healthcare, energy), • Exposure to Responsible AI, model governance, and AI risk management, • Knowledge of integration patterns for multiple ERP, CRM, or core systems, • Previous experience in consulting, PE‑backed organisations, or scale‑ups

This is a job that Scout, our AI Recruiter, is recruiting for on behalf of one of our clients. She will pick the best candidates from ivee's network. The next step is to create an ivee profile. Junior Back-end Engineer Company Description: Fast-growing scale-up This is a great opportunity to join a fast-moving engineering team as a Junior Backend Engineer. You’ll help build and maintain scalable backend systems that power real-world applications, working closely with product and front-end teams. It’s a hands-on role designed for someone early in their backend career who’s excited to learn, ship, and grow. Key responsibilities: • Build and maintain server-side logic using modern backend frameworks (e.g. Node.js, Python, Go), • Work with APIs — designing, integrating, and maintaining RESTful endpoints, • Support database design and optimisation (e.g. PostgreSQL, MongoDB), • Collaborate with front-end and product teams to deliver full-stack features, • Write clean, testable, and maintainable code, • Help improve system performance, scalability, and security, • Participate in code reviews and learn from senior engineers, • Stay curious and keep learning — especially in areas like DevOps, testing, or AI tooling What we're looking for: • 1–2 years of experience (including internships or personal projects) in backend development, • Proficiency in at least one backend language (Node.js, Python, Go, etc.), • Basic understanding of how REST APIs work, • Familiarity with databases and version control (e.g. Git), • Strong problem-solving mindset and attention to detail, • A willingness to learn fast and take feedback, • Bonus: any experience with cloud platforms (AWS, GCP), testing frameworks, or containerisation How to apply: Click apply to submit your application. To be automatically shortlisted for future roles like this, head to ___ to make a free account. Don't forget to upload your CV and write a bio to begin being headhunted for your dream position!

Controls & Automation Engineer Location: North London Type: Full-time We are a fast-growing, mission-driven manufacturing business designing, building, and scaling complex products in-house. Our operations rely on modern automation, rapid new product introduction (NPI), and a strong culture of continuous improvement to support ongoing growth. This is an environment for engineers who want real ownership, technical depth, and the opportunity to influence how manufacturing systems are designed, built, and evolved. About the role We are seeking an experienced Controls & Automation Engineer to join our Operations Engineering team. This role is central to delivering automation capability across the factory and spans the full lifecycle of control systems — from early concept and system architecture through to commissioning, production handover, and ongoing optimisation. You will work across NPI, capital projects, and continuous improvement, collaborating closely with mechanical, electrical, manufacturing, and production teams to deliver scalable, robust solutions. What you’ll be doing • Own and deliver controls and automation projects end-to-end, from requirements capture through to commissioning and production handover, • Specify, design, program, test, and document PLC-based control systems for new equipment, production lines, and NPI activities, • Support new product introduction by developing and adapting automation solutions to meet evolving product and process requirements, • Lead and contribute to continuous improvement initiatives, improving safety, reliability, performance, and maintainability of existing systems, • Provide advanced hands-on support during planned upgrades, commissioning activities, and critical production issues, • Work closely with cross-functional teams to ensure automation solutions are practical, scalable, and aligned with manufacturing needs, • Help shape automation standards, best practices, and system architectures as the factory continues to scale What we’re looking for Even if you don’t meet every requirement, we encourage you to apply if this role aligns with how you want to work and grow. Essential experience • 3+ years of experience programming PLC systems (IEC 61131-3) in a manufacturing or industrial environment, • Strong understanding of electrical schematics, panel design, wiring practices, and electrical safety, • Proven ability to specify, design, and document complete control system solutions, often from high-level manufacturing or NPI requirements, • Experience working in fast-paced production environments, including supporting live systems during upgrades or downtime, • Confident problem-solver with a hands-on, pragmatic engineering approach Desirable / bonus experience • Programming with Siemens TIA Portal, particularly S7-1500 PLCs, • Experience delivering multi-axis motion control systems, • Strong understanding of closed-loop motion control, including linear and rotary servo motors, • Hands-on experience wiring DC control circuits and low-voltage AC power systems to recognised standards, • Knowledge of electrical legislation, machinery safety standards, and functional safety principles, • High ownership role with responsibility across NPI, project delivery, and continuous improvement, • Visible impact — your work directly affects production capability, scalability, and product quality, • Fast decision-making environment with minimal bureaucracy, • Strong commitment to technical and personal development, • Competitive salary plus equity/share options, aligning you with the long-term success of the business Benefits • 25 days holiday plus bank holidays, • Competitive salary and equity participation, • On-site food and refreshments, • Health and wellbeing benefits, including healthcare support and cycle-to-work schemes, • Regular team events and employee referral incentive

Senior Data Visualisation Engineer | TypeScript | JavaScript | SVG | Canvas | London London | to £200,000 depending on exp. I'm hiring a Senior Engineer to work on a widely-used, open-source charting library relied on by thousands of engineers building data-intensive products. This is not a typical frontend role. You’ll be working at the heart of a graphics and visualisation engine — solving problems around rendering, performance, correctness, and API design. Why engineers take this role You work on the hard stuff This is core library engineering: rendering engines, chart primitives, 2D graphics, and public APIs — not feature churn or framework glue. Your skills compound, fast You’ll deepen fundamentals that actually last: algorithms, performance, graphics, and system design. The kind of experience that makes you harder to replace and easier to trust. Real ownership, end to end You take features from concept through to release. No product theatre. No endless hand-offs. Just proper engineering responsibility. Your work is visible and respected You’ll be contributing to a well-known open-source project used in serious production environments — experience that carries weight long after this role. A grown-up engineering culture No outsourcing. No heroics. No late nights disguised as “passion.” High standards, good planning, and engineers who care about craft. It future-proofs your career As tooling gets automated, engineers who understand systems, performance, and primitives become more valuable — not less. What you’ll be doing • Designing, building, testing and releasing features end-to-end, • Working across rendering, chart types, animations, and APIs, • Solving performance-sensitive and correctness-critical problems, • Collaborating with other senior engineers on integrated visual systems, • Optionally contributing to technical blogs, talks or demos What I'm looking for • 5+ years building serious software (products, platforms, or libraries), • Strong JavaScript and/or TypeScript fundamentals, • Experience with 2D graphics (Canvas, SVG, Processing, or similar), • Solid grounding in data structures, algorithms, and software design, • Experience with at least one statically typed language, • Working understanding of basic linear algebra Apply in confidence. Company details shared at first conversation.

Come join our team! Druid AI is an end-to-end platform for building, deploying, and scaling AI agents and Conversational Business Applications (CBA), designed to deliver next-level employee productivity and the total customer experience in the most intuitive way. Acting as a front layer to all digital operations, DRUID unifies and enhances the existing technology landscape while mitigating app fatigue. With a 2x growth year over year, 160+ partners and 250+ clients worldwide, DRUID AI actively builds on its vision to provide employees with an intelligent virtual assistant that helps people work easier and faster. We’re looking for a tech-savvy and client-oriented Presales Engineer to design tailored AI-powered solutions, build compelling demos and POCs, and support our sales team in showcasing the value of the DRUID platform to prospects and clients. What you’ll do at DRUID • Act as a trusted business partner of the Sales, Delivery and Customer Success Leaders, and share ownership in achieving the territory’s business objectives and revenue targets, • Work with Sales, Product, Marketing, Professional Services, and other cross-functional partners to think big and shape the go-to-market strategy for large customers, • Support Sales opportunities with exceptional consultative selling and technical experience, • Drive revenue growth through a combination of planning, enabling the team, and owning relationships with customers’ senior technical stakeholders, • Conduct and coach detailed discovery at all levels to internalize customers’ digital transformation strategies, • Design high-level solutions to fit client needs and environment during the deal process, • Build and deliver custom made industry specific demos for new prospects and clients, • Create powerful POC’s (Proof of Concepts) for prospects and customers, • Present and demonstrate our solutions to a broad spectrum of audiences while building strong relationships and handling technical objections and issues throughout the entire sales cycle, • Be an evangelist of DRUID tools by identifying customer needs and showcasing the best solution, • Drive end-user adoption of DRUID product through events, seminars, webinars, technical training, and other activities as appropriate, • Support Marketing initiatives through evangelism activities, including writing blogs, speaking in webinars and other industry events, • Contribute to clients’ business objectives by offering an industry-relevant perspective on markets and industries, • Ensure clear guidance is transferred to our delivery team, including details on use cases and the customers’ business objectives to ensure customer success, • Work closely with Product team at the improvement of the core functionalities and adding external technologies to DRUID ecosystem. What you’ll bring to DRUID • Bachelor's degree or higher, • Proven ability to map customer needs to product solutions and business outcomes, • Experience in building tailored demos, • Strong mix of technical understanding and business insight, • Excellent communication and presentation skills - comfortable with both IT and executive-level conversations, • Enthusiastic about AI, automation, and digital transformation, • Industry-specific knowledge is a plus within healthcare, financial services, and higher education particularly. What’s in it for you at DRUID • A rich learning environment, specific to a tech start-up expanding internationally, • Plenty of opportunities to create, innovate and leave your mark in a challenging and fast-growing business, • Super smart, friendly, and supportive colleagues, • A place where you can freely express your opinion, • Access to local and international events, conferences, webinars as DRUID representative.

Do you want to build AI products used by millions of consumers globally? Have you deployed production AI systems that combine LLMs with traditional ML? Are you ready to work at the intersection of beauty, retail and applied AI? A globally recognised direct-to-consumer beauty brand is hiring an AI / ML Engineer to join its London-based data team. The company is one of the fastest-growing prestige beauty brands worldwide and has built a strong in-house technology capability, using AI across customer experience, product recommendations and internal operations. Their data and AI team owns the full value chain from data engineering through to machine learning products. This role sits within a lean AI engineering function responsible for deploying production ML systems and scaling new GenAI capabilities across the business. This is a hands-on engineering role focused on building real AI products – from LLM-powered customer experiences to production recommender and forecasting systems. Key Responsibilities • Design and build LLM-powered systems including RAG pipelines and conversational AI tools, • Develop production ML pipelines for recommendations, segmentation and forecasting, • Build scalable APIs and microservices for AI/ML applications, • Deploy and manage models using cloud-native ML infrastructure, • Implement MLOps practices including CI/CD, monitoring and model lifecycle management, • Work cross-functionally with product, data and engineering teams Key Details • Salary: up to £85k + 10% bonus, • Working model: Hybrid London (2–3 days in office), • Tech stack: Python, GCP (preferred), FastAPI, LangChain / LangGraph, CI/CD, • Visa sponsorship: Not available Interested? Please apply below.

Full-Stack Engineer (React / Python / AI) Location: London (Hybrid) Salary: £100,000 + Equity About the Company: An early-stage, well-funded tech startup building AI-powered software to help businesses make smarter decisions and improve operational performance. The team is small, highly technical, and mission-driven, giving you the chance to shape both the product and engineering culture. The Role: We’re looking for a Full-Stack Engineer to join a fast-moving, collaborative team. You’ll work across the stack — crafting sleek UIs in React, building scalable back-end systems in Python, and collaborating with AI specialists to deliver intelligent, high-impact features. Key Responsibilities: • Build and maintain end-to-end product features used by enterprise customers., • Develop modern, responsive interfaces using React/Next.js., • Design and optimize APIs, data pipelines, and integrations using Python (FastAPI/Django)., • Collaborate with design, product, and AI teams to deliver new functionality quickly and reliably., • Contribute to architectural decisions, system scalability, and engineering best practices. What We’re Looking For: • Proven experience as a Full-Stack Engineer in a startup or fast-paced environment., • Strong proficiency in React/Next.js and Python (FastAPI/Django)., • Experience shipping scalable, production-grade software., • Exposure to or interest in AI/ML-driven products., • Startup experience or comfort with high ownership and autonomy is a massive plus. Package: • £100,000 base salary + meaningful equity, • Hybrid (London-based team), • High-impact role with product and technical ownership

💼 Role: Lead Python Engineer (Hands-on Team Lead) 📍 Location: London – Hybrid (3 days office / 2 days WFH) 💰 Salary: Up to130k base 🏦 Industry: Fintech Platform We’re working with a profitable, high-growth UK fintech building a platform used by wealth and advisory firms to manage investment accounts, portfolios and trading workflows. Following a recent Series C funding round, the company is scaling quickly and continuing to expand the product platform — both in terms of scale and functionality. As a result, they’re growing the engineering team and looking for a Lead Python Engineer to take ownership of a core part of the platform. The Role This is a hands-on technical leadership role (50-70% hands-on), leading a small backend pod while remaining closely involved in development. You’ll be responsible for building and evolving core backend systems that support investment workflows, financial data processing and trading-related operations. What You’ll Be Working On • Building scalable backend services in Python, • Designing systems that process financial data and investment workflows, • Leading architecture and technical design for new features, • Running a small engineering pod and guiding delivery, • Improving reliability, performance and resilience of core systems, • Mentoring engineers and raising engineering standards across the team What We're Looking for • Extensive experience with commercial Python backend development, • Experience building production backend systems, • Experience leading projects or small engineering teams, • Strong understanding of distributed systems or data-heavy platforms, • Comfortable working in a fast-moving scale-up environment Why apply? • Work on core financial infrastructure, • Join a profitable company with strong funding and real platform adoption, • Lead a pod while staying deeply hands-on technically, • Help shape a platform that is growing quickly in both scale and capability Feel free to contact Chris Williams with any questions.

Senior Fullstack Engineer £450–550 per day 6 months Outside IR35 Hybrid – 2 days per week on site (London) We’re supporting a high-growth, AI-driven product business building a scalable platform from the ground up. They operate as a small, high-calibre team and real ownership. They’re looking for a Senior Fullstack Engineer (back end leaning) to take responsibility for core backend systems and help shape product direction in fast-moving environment. This is a role for someone who is comfortable building without perfect specs and takes initiative naturally. Requirements • Strong Node.js and GraphQL (NestJS) experience, • PostgreSQL, Prisma, and solid data structures / OOP fundamentals, • Experience building high-concurrency, event-driven systems, • GCP experience (Terraform desirable), • Experience working with AI/LLMs in production environments, • Strong focus on system reliability (monitoring, alerting, logging, testing, incident-aware design), • Demonstrated ownership of features or systems end-to-end, with the ability to operate independently, • Comfortable making progress in environments with evolving or incomplete requirements, • Pragmatic approach to delivery — able to balance speed with long-term maintainability, • Proven ability to operate effectively under pressure or shifting priorities, • Ideally has built, launched, or scaled a product, startup, or meaningful side project

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.

Senior Java Engineer (WebFlux) London – Hybrid (1 day per week onsite) Are you a senior, hands-on Engineer who thrives in event-driven, asynchronous environments? Do you enjoy building low-latency, high-throughput distributed systems where correctness, resilience, and performance really matter? This is an opportunity to work at the core of real-time payments infrastructure, helping to power instant transactions for some of the worlds largest banks. We’re hiring on behalf of a leading payments consultancy delivering mission-critical, event-driven platforms that integrate deeply with bank infrastructure to enable secure, real-time payments at global scale. What You’ll Be Doing You’ll play a senior individual-contributor role within a high-performing engineering team, building asynchronous, message-driven systems designed for scale, resilience, and near-zero downtime. • Design and implement high-throughput, low-latency systems processing millions of real-time payment events, • Build event-driven architectures using modern Java and reactive frameworks, • Work extensively with non-blocking I/O, asynchronous flows, back-pressure, and concurrency, • Contribute to system and API design, focusing on scalability, fault tolerance, and observability, • Collaborate closely with architects, engineers, and client teams across Europe, • Operate in Agile environments (Scrum / Kanban) with a strong engineering culture Tech Stack (current & evolving): Java 17+, Spring WebFlux, Akka, Kafka, reactive streams, distributed messaging, cloud-native tooling What You Bring We’re looking for engineers who enjoy thinking in events, streams, and asynchronous workflows, and who take pride in building systems that perform under pressure. • Strong hands-on experience with Java 11+ (ideally Java 17) in production environments, • Deep understanding of asynchronous and reactive programming models, • Proven experience with event-driven architectures and real-time messaging (Kafka, JMS, Akka, etc.), • Solid grasp of distributed systems concepts: concurrency, idempotency, fault tolerance, and resilience, • Experience building and testing production-grade systems using TDD/BDD and CI/CD pipelines, • Comfortable working on complex, long-lived systems where performance are reliability are critical Bonus (not essential): Experience in banking, payments, or financial systems, or if you’ve built real-time platforms at scale. What’s In It for You • £100,000 – £115,000 base salary (DOE), • 20% annual bonus, • Work on event-driven, real-time systems with global impact, • Hybrid working – 1 day a week onsite (more if you prefer), • Exposure to major international banks and payment networks, • A product-led, engineering-first environment where technical decisions matter

Research Engineer Location: London 3 days onsite Length: 6 months contract Rate: Negotiable Hours: 9am-6pm Research Engineers to join Fundamental AI Research (FAIR). We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in solving systems challenges to sustainably accelerate our reach to human-level intelligence. Candidates will have an opportunity to make fundamental advances in systems and apply their ideas at an unprecedented scale. Responsibilities • Carry out cutting-edge research to advance the science and technology of machine learning systems., • Design methods, tools, and infrastructure to push forward the state of the art in large language models., • Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results., • Suggest, collect and synthesize requirements and create an effective feature roadmap., • Code deliverables in tandem with the engineering team., • Publish research results and contribute to research that impacts product development. Minimum Qualifications • 2+ years of hands-on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence, • Experience with developing machine learning models at scale, such as programmatically querying LLMs and LLM post-training., • Programming experience in Python and hands-on experience with frameworks such as PyTorch., • Experience writing software and executing complex experiments involving large AI models and datasets., • Proven experience to translate insights into business recommendations, • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Preferred Qualifications • Direct experience in generative AI and LLM research, • PhD degree or research focused Master degree in ML areas

💼 Role: Lead Python Engineer (Hands-on Team Lead) 📍 Location: London – Hybrid (3 days office / 2 days WFH) 💰 Salary: Up to 130k base 🏦 Industry: Fintech Platform We’re working with a profitable, high-growth UK fintech building a platform used by wealth and advisory firms to manage investment accounts, portfolios and trading workflows. Following a recent Series C funding round, the company is scaling quickly and continuing to expand the product platform — both in terms of scale and functionality. As a result, they’re growing the engineering team and looking for a Lead Python Engineer to take ownership of a core part of the platform. The Role This is a hands-on technical leadership role (50-70% hands-on), leading a small backend pod while remaining closely involved in development. You’ll be responsible for building and evolving core backend systems that support investment workflows, financial data processing and trading-related operations. What You’ll Be Working On • Building scalable backend services in Python, • Designing systems that process financial data and investment workflows, • Leading architecture and technical design for new features, • Running a small engineering pod and guiding delivery, • Improving reliability, performance and resilience of core systems, • Mentoring engineers and raising engineering standards across the team What We're Looking for • Extensive experience with commercial Python backend development, • Experience building production backend systems, • Experience leading projects or small engineering teams, • Strong understanding of distributed systems or data-heavy platforms, • Comfortable working in a fast-moving scale-up environment Why apply? • Work on core financial infrastructure, • Join a profitable company with strong funding and real platform adoption, • Lead a pod while staying deeply hands-on technically, • Help shape a platform that is growing quickly in both scale and capability Feel free to contact Chris Williams with any questions.

Applied AI Engineer Up to 135k Xcede are currently working with an AI consulting firm that helps large organisations design, build, and deploy real-world Generative AI systems. They partner with well-known brands and generate multi-million-pound revenues through their work. Due to high demand across multiple projects, they are looking to hire around 60 engineers. This is a great opportunity to join at a time where your contribution will be immediately valued and where you can make a meaningful impact from day one. The ideal candidate will come from a software engineering background and now be working as an AI Engineer with experience integrating LLMs into applications. You will: • Design and develop applications powered by LLMs, • Build Python-based microservices, • Create AI agents and automated workflows, • Deploy and integrate models into production environments, • Contribute across multiple client engagements, • Take ownership of delivery on selected projects, • Support code reviews and mentor other engineers Requirements: • At least 3 years of enterprise experience, • Experience integrating LLMs into applications, including deployment and product ionisation, • Strong Python skills, • Experience building microservices If you are interested in this or other AI Engineering positions, please contact Gilad Sabari @ | 02074226861

Lead Software Engineer: Cyber Startup Location: London (or can easily commute for two days per month to London headquarter) We're partnering with a well-funded, cybersecurity intelligence company building a next-generation third-party and supply chain risk platform. They are now looking to bring on a lead software engineer - someone who wants real ownership, architectural influence, and the chance to help shape the company. The Opportunity You’ll join as a Senior Lead Software Engineer, working closely with the Director of Engineering to: • Design and build scalable backend services (TypeScript/Node.js + Python), • Architect systems that ingest and process large-scale intelligence data, • Own and evolve AWS infrastructure, • Implement Infrastructure-as-Code, • Establish engineering standards, patterns and best practices, • Influence architectural direction as the platform matures, • Help hire and mentor future engineers Strong backend focus, but you’re comfortable contributing across the stack when needed. What They’re Looking For • 4+ years backend experience (strong TypeScript/Node.js + Python), • Hands-on AWS infrastructure experience in production environments, • Comfortable owning problems end-to-end, • Someone who cares about doing things properly from day one Why This Role Is Different • Direct influence over architecture and engineering culture, • Meaningful equity upside, • Product solving real-world cyber, supply-chain and financial risk challenges, • Opportunity to build the backbone of a platform entering rapid growth If you’re currently in a larger org and miss real ownership - or you’re in a startup and want something more technically ambitious - this is worth a conversation. Connect with Emmy directly on LinkedIn or shoot her an email at -

Do you want to shape how LLMs are deployed at scale in a real business? Have you built RAG or agentic systems that moved beyond experimentation? Are you motivated by measurable customer and commercial impact, not demos? A private-equity-backed consumer services business is scaling its Data Science & AI capability as part of a multi-year transformation. Following an award-winning data programme, the company now has an established AI function and is investing further in LLM-powered assistants, RAG pipelines, voice/chat intelligence and early agentic workflows across both customer-facing and internal products. This Senior AI Engineer role is a hands-on individual contributor position, sitting between Data Science and AI Engineering. You will lead AI proof-of-concepts, design retrieval and context strategies, contribute to the AI architecture, and ensure solutions are robust, scalable and commercially grounded. The role spans the full AI lifecycle, from data preparation and model evaluation through to deployment and optimisation. Key responsibilities • Lead development of LLM and AI proof-of-concepts, • Design and implement RAG pipelines and agentic workflows, • Define evaluation frameworks for LLM quality and response accuracy, • Partner with product and engineering on chat flows and continuous improvement, • Contribute to AI platform architecture and best practices, • Mentor junior ML / AI engineers (no formal line management) Key details • Salary: £80,000 base + 10% bonus, • Pension: 5% matched, • Working model: Hybrid, 3 days per week (Tuesday & Wednesday fixed), • Location: Central London, • Stack: Python, Databricks, RAG, vector databases, Azure (preferred), LangChain / LangFuse, • Visa: This role cannot sponsor Interested? Please apply below.

Senior Software Engineer (Full Stack, TypeScript) £100k–£120k | London (Hybrid) I’m working with a high-growth consumer technology company building a platform used by thousands of customers across London every day. The business operates in the rapid-delivery / convenience commerce space, combining logistics, retail and technology into a vertically integrated product. After a period of aggressive international expansion, the company has consolidated around its core London market and is now entering a new growth phase with fresh funding and a long runway. Engineering plays a central role in the business. Teams operate with a startup mentality: high ownership, fast execution and minimal bureaucracy. Engineers work closely with product, marketing and leadership to ship features that directly impact customer experience and commercial performance. They’re now hiring a Senior Full Stack Engineer to help build the next generation of their consumer platform. Quick overview • Salary: £100k–£120k, • Location: London (hybrid, 3 days in office), • Stack: TypeScript, Node.js, React, • Team: Small, high ownership engineering team, • Product: High-traffic consumer platform used daily What you’ll be working on • Building and scaling consumer-facing product features, • Developing APIs and backend services that power the platform, • Improving internal tooling and shared design systems, • Supporting marketing and commercial tooling across the business, • Contributing to platform architecture and engineering standards, • Experimenting with AI-powered tooling and product features What they’re looking for • Strong TypeScript experience across backend and frontend, • Solid Node.js backend experience, • Experience building customer-facing products, • Comfortable operating in fast-moving startup or scale-up environments, • Engineers who actively use AI tooling in their development workflow The team moves quickly and keeps engineering groups intentionally small. Engineers own large parts of the system and work closely with product and leadership on what gets built. If you enjoy product ownership, moving fast, and working on systems that directly impact real customers, this is a very interesting opportunity. Drop me a message if you’d like to learn more.

We are looking for an experienced Backend Engineer to help build, scale, and optimize next‑generation financial services infrastructure. You will work on high‑availability, low‑latency systems, powering consumer and business APIs used globally. This role is ideal for someone who thrives in fast-paced fintech environments and is passionate about clean architecture, system performance, and secure engineering practices. Key Responsibilities • Design and develop backend services and APIs with a focus on performance, maintainability, and security., • Deliver new features and improvements across a distributed microservices ecosystem., • Collaborate closely with frontend, mobile, product, and infrastructure teams throughout the development lifecycle., • Integrate APIs and services while ensuring reliable, scalable data flows., • Contribute to technical discussions, architecture decisions, and engineering best practices., • Write clean, well-tested, and well-documented code. Must‑Have Technical Skills • Expert-level Node.js development experience (TypeScript/Javascript)., • Professional Golang development experience., • Strong GraphQL experience, including schemas, resolvers, and high-volume queries., • Deep knowledge of PostgreSQL, including performance tuning and relational design., • Hands-on experience with Redis for caching, pub/sub, or distributed systems., • Fintech experience is a MUST — ideally in payments, banking, wallets, trading, or digital assets., • Solid understanding of modern backend architecture, microservices, and API-driven systems., • Strong foundation in version control, CI/CD pipelines, and software lifecycle best practices. Nice to Have • Experience with message queues such as Kafka, RabbitMQ, Pulsar, or NSQ., • Experience integrating with 3rd‑party services or financial data providers., • Familiarity with performance budgets, monitoring, and observability tooling., • Knowledge of crypto, digital assets, or Web3 technologies., • Contributions to open-source projects or engineering blogs. What’s Offered • Opportunity to work on high-impact fintech projects serving users globally., • Collaborative engineering culture focused on innovation and excellence., • Competitive compensation, flexibility, and professional development opportunities., • Supportive environment with strong values around integrity, ownership, and teamwork.

Senior LLM, RAG & Agentic AI Consulting Engineer - Lead / Senior FDE Remote First, some trips to client offices and HQ Lead the design and delivery of complex, AI-native client engagements, spanning agentic systems, retrieval architectures and semantic layers. This is a senior, hands-on consulting role combining deep technical leadership with strong client presence, shaping both client outcomes and the firm’s long-term AI engineering capability. As client demand for AI-native transformation accelerates, the consulting practice is expanding its engineering capability across agentic systems, retrieval, ontologies and AI-enabled execution. The Consulting Engineer is a hands-on AI systems builder who combines deep engineering craft with commercial and product thinking to design, build and deploy agentic, retrieval and ontology-based systems for enterprise clients. You will work directly with senior client stakeholders and alongside consulting and orchestration roles, translating complex business challenges into safe, reliable and measurable AI solutions. Key Accountabilities Client-Facing AI Engineering & Agentic System Design You will design and deliver production-grade AI systems for external clients, including: • LLM applications using modern orchestration patterns, prompt frameworks and evaluation loops, • Multi-agent architectures, including planning, delegation, safety constraints and monitoring, • Retrieval and vector-based systems, embeddings, structured reasoning and semantic workflows, • Ontology and knowledge modelling literacy to enable precise reasoning and data alignment, • Integrations and automation via APIs, tools and enterprise systems, • Prompt engineering at scale, including pattern libraries, guardrails and explainability checks You will lead technical design within client engagements and set architectural direction across delivery pods. Technical Discovery, Feasibility & Solution Architecture Working closely with consulting counterparts, you will: • Translate ambiguous client problems into clear, feasible engineering approaches, • Assess client data, platforms, security constraints and operating models, • Contribute to framing, use-case shaping and technical scoping discussions, • Work directly with client domain experts to surface edge cases and operational realities, • Produce clear, lightweight technical artefacts for client and internal audiences Delivery Excellence, AI Ops & Reliability You will ensure client solutions are safe, observable and enterprise-ready by: • Implementing evaluation frameworks and safety checks across models and agents, • Designing monitoring, logging, tracing and incident-response patterns, • Applying governance, risk and compliance principles within client environments, • Supporting releases, environments and handover into client operations, • Ensuring reliability, reproducibility, performance and cost controls Experience & Skills This is a senior, hands-on consulting engineering role. Candidates should bring: • Solid experience in software engineering, AI engineering, or applied data engineering, • Strong hands-on experience with LLMs, embeddings, RAG, retrieval stacks and vector databases, • Experience designing or implementing multi-agent systems or tool-calling frameworks, • Strong Python skills with experience building production-grade systems, • Experience working across at least one major cloud AI ecosystem (e.g. Azure/OpenAI, GCP/Vertex, AWS, Anthropic), • Familiarity with semantic modelling, ontologies, or knowledge graph concepts, • Proven ability to rapidly prototype solutions for client validation, • Experience working directly with clients in consulting or professional services contexts Staffworx are a UK based Talent & Recruiting Partner, supporting Digital Commerce, Software and Business Consulting sectors across the UK & EMEA.

Job Title: Databricks Architect Location: London, UK Work Mode: Onsite Experience: 10–15 Years (minimum 5+ years in Databricks) Employment Type: Full-time About the Role We are seeking a highly experienced Databricks Architect to lead the design, development, and optimization of scalable data platforms and advanced analytics solutions. This role requires a deep understanding of Databricks Lakehouse architecture, big data engineering, cloud ecosystems, and enterprise data strategy. The ideal candidate will partner with business and technology leaders to deliver high-performance data systems that support analytics, AI/ML, and real-time insights. Key Responsibilities Architecture & Solution Design • Architect end-to-end Databricks Lakehouse solutions including data ingestion, ETL/ELT pipelines, Delta Lake, data warehousing, and data governance frameworks., • Define and enforce best practices, security standards, and performance optimization across Databricks workloads., • Design scalable big data architectures leveraging Spark, Delta Live Tables, Unity Catalog, and MLflow., • Build and optimize large-scale ETL/ELT pipelines using PySpark, SQL, and Delta., • Work closely with business leaders and product teams to translate requirements into robust technical solutions., • Guide development teams, perform architecture reviews, and ensure platform engineering excellence., • Optimize Databricks clusters, query performance, and cost management., • Implement data governance standards using Unity Catalog, RBAC, and compliance guidelines (GDPR, ISO)., • 10–15 years overall experience in data engineering or data architecture., • 5+ years of hands-on architecture experience specifically in Databricks., • Expert in Apache Spark, PySpark, Databricks SQL, Delta Lake, and distributed systems., • Strong understanding of Lakehouse architecture, BI ecosystems, and modern data platforms., • Cloud expertise in Azure / AWS / GCP (Azure preferred for many UK clients)., • Experience with CI/CD, Infrastructure-as-Code (Terraform preferred), and DevOps., • Databricks certifications (e.g., Databricks Certified Data Engineer Professional, Architect)., • Experience building ML solutions using MLflow or integrating with cloud ML services., • Experience in BFSI, Retail, Telecom, or Healthcare data environments., • Excellent communication and stakeholder management skills., • Strong problem-solving and solution-oriented mindset., • Ability to lead in a fast-paced and dynamic environment., • Work onsite with a high-impact, cutting-edge data team in London., • Opportunity to lead large-scale data transformation initiatives., • Exposure to enterprise data strategy, advanced analytics, and AI projects., • Competitive compensation and career-growth opportunities.

Microsoft Fabric Data Engineer About Movar At Movar, we understand that project delivery is getting increasingly complex. Since 2013, we’ve been helping companies of all sizes improve the way projects are delivered. Our mission is to be the number one provider of innovative project solutions, driven by a community of experienced, caring, and passionate project professionals—all seeking to improve the way projects are delivered. Our vision is simple yet powerful: to improve the lives of people everywhere through the delivery of projects. We provide tailored services ranging from organisational systems implementation to project transformation and complete programme recovery. We’re proud to have been named Winners of the Global Project Controls Innovation of the Year Award 2024. Why Join Movar? Movar is in an exciting period of growth, and there’s never been a better time to be part of our journey. We’re building something special—scaling our business while staying true to our people-first approach. At Movar, we invest in our teams, fostering an environment where development is valued and individuals are encouraged to grow with the company. Our unique culture sets us apart from other consulting practices, and we’re keen to build a team that is as ambitious as we are. Our IDEAL Values: • Integrity – We do the right thing, always., • Drive – We push boundaries and strive for excellence., • Empathy – We care deeply about our people and clients., • Adaptability – We embrace change and thrive in it., • Loyalty – We stand by each other and our mission. Job Summary Lead the design and delivery of modern data platforms on Microsoft Fabric, owning end-to-end data engineering solutions from ingestion to consumption. • Design and build scalable data pipelines and lakehouse/warehouse models on Microsoft Fabric (OneLake, Lakehouse, Data Warehouse, Data Factory)., • Implement medallion architectures, performance optimisation, and cost management for analytics and AI workloads., • Define and enforce data engineering standards, governance, and security in an enterprise environment., • 8+ years in data engineering on Azure, strong SQL/Spark, deep hands-on Fabric experience, • Proven leadership on complex data platform builds.

Role: Senior Python Backend Engineer Location: London King's Cross - full time on site Salary: up to £200k base + equity We are partnered with a high-growth AI-driven platform that helps large enterprises automate complex, data-heavy workflows. The company is well-funded with. over $90M from top VC's, scaling rapidly, and already working with globally recognised organisations in a highly regulated environment. The Role As a Senior Backend Engineer, you’ll help design and scale the backend systems behind a sophisticated AI platform. You’ll work on high-performance services, complex data pipelines, and secure infrastructure, collaborating closely with ML, product, and platform teams. This is a hands-on senior role with real influence over architecture, technical decisions, and engineering standards as the company continues to scale. What You’ll Be Doing • Building and scaling backend services and APIs in Python, • Designing and optimising data pipelines and databases, • Working closely with ML engineers to deploy models into production, • Implementing async processing, caching, and event-driven systems, • Ensuring security, reliability, and compliance in production systems, • Improving performance, scalability, and system resilience The ideal candidate will: • 5+ years of backend engineering experience, • Strong Python experience (FastAPI, Flask, or Django), • Have experience working at a previous startup/scale up, • Solid knowledge of PostgreSQL and Redis, • Experience with async task queues and message brokers, • Cloud experience (Azure, AWS, or GCP), • Strong understanding of distributed systems and security best practices Why Join • Competitive salary + equity, • Direct exposure to founding team, • Opportunity to build a category-defining AI platform Fast-moving, demanding, and high-impact - this role is for engineers who enjoy building serious systems in evolving environments.

Senior Fullstack Engineer: Cyber Startup Location: London or easy commute for hybrid setup We're partnering with a well-funded, cybersecurity intelligence company building a next-generation third-party and supply chain risk platform. The Opportunity You’ll work across the stack (backend-leaning), helping build and evolve a platform that ingests and processes large-scale intelligence data used by security, finance and resilience teams. You’ll: • Build and maintain backend services (TypeScript / Node.js), • Develop and extend APIs, • Contribute to high-volume data ingestion and processing workflows, • Ship frontend features in React / TypeScript when needed, • Write clean, well-tested, well-documented code, • Participate actively in code reviews and engineering standards, • Collaborate closely with Product and Engineering leadership What They’re Looking For • 3+ years backend experience (strong Node.js / TypeScript), • Comfortable working across the stack, • Someone who understands good system design - even if you haven’t led architecture yet, • Clear communicator, great team player, high ownership Bonus if you’ve worked with: • Python (data processing / automation), • Data pipelines or high-volume ingestion, • AWS or infrastructure-as-code exposure Why This Role Is Interesting • Early high-impact hire - funded, structured, and growing intentionally, • Strong technical leadership to learn from, • Real ownership without being thrown in the deep end, • Meaningful equity at Series A stage, • Cyber / supply chain risk - a space that’s only becoming more critical This is ideal for someone who wants to level up technically while still having tangible impact on a product from its early stages. Connect with Emmy on LinkedIn or shoot her an email -

🚀 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.

ROLE OVERVIEW // We are seeking a technically adept Application Engineer to join our Business Systems team in the Technology department. You will be part of a cross-functional team of engineers who are responsible for the configuration, development, implementation, security and support of the firm’s business-critical applications. You will act as a technical product owner and subject matter expert for the firm’s Azure integrations. You will work with other applications, such as the Master Data Management system, as needed. KEY RESPONSIBILITIES // Application Management and Development • Manage the configuration, deployment and ongoing support of Azure integrations., • Develop, test and optimise Azure integrations., • Serve as one of the firm’s technical experts for Azure Integration Services., • Assist with developing, testing and optimising enhancements to the MDM and other applications, as required., • Monitor usage and performance, proactively addressing issues and identifying opportunities for improvement., • Collaborate with stakeholders to gather requirements and translate them into practical application changes or enhancements., • Maintain documentation related to application change control and configuration, processes and procedures. Technical Expertise and Product Ownership • Serve as a primary subject matter expert (SME) for Azure Integration Services, providing deep knowledge and proactive support., • Serve as a secondary subject matter expert for the MDM and other applications, as required., • Own the technical direction of the applications you are responsible for, ensuring alignment with the Technology roadmap, business strategy and user needs. Stay informed of product updates, upgrades, and roadmap developments, ensuring optimal use of the software., • Troubleshoot and resolve complex technical issues, escalating to third-line support or vendors where necessary., • Maintain and prioritise the product backlog, including new features, upgrades, maintenance tasks and defect resolution., • Participate in or lead agile ceremonies such as sprint planning, backlog refinement and retrospectives., • Collaborate with internal teams to evaluate and approve technical design decisions, architectural changes and security implications. Stakeholder and Vendor Engagement • Act as a primary liaison between internal users, procurement, support teams, engagement and software vendors for the applications you are responsible for., • Engage regularly with application stakeholders and users to ensure they are informed of progress and change, and to monitor and improve user experience., • Manage vendor relationships, including coordinating support cases, overseeing service levels, and negotiating enhancements or customisations., • Work closely with the internal Problem Management team. Cybersecurity and Risk • Ensure applications comply with internal and external security policies and best practices., • Implement controls to safeguard application data, access, and integration points., • Participate in audits, risk assessments, and business continuity planning as it relates to the applications you are responsible for. CANDIDATE PROFILE // Candidates for this position must have: Essential • Expert knowledge of Azure Integration Services, • Strong experience developing Logic Apps, Function apps and custom Excel add-ins., • Expert knowledge of C#, .NET and Blazor., • Excellent stakeholder engagement, communication, training and documentation skills, including the ability to communicate well with both technical and non-technical audiences., • Enjoy working as part of a close-knit team., • Willingness to be flexible, learn new skills and take on additional responsibilities. Desirable • Familiarity with Master Data Management solutions., • Familiarity with other major systems the firm uses, including iManage products, Elite 3E, Workday and Carpe Diem., • Familiarity with DevOps, Copilot and GitHub., • Familiarity with legal sector compliance and IT security standards (e.g. GDPR, ISO 27001, Cyber Essentials Plus)., • Experience in the legal sector or a similar highly regulated environment., • Experience with agile or iterative delivery methodologies and velocity coding. We welcome applications irrespective of race, colour, ethnic or national origin, disability, sex, gender identity, sexual orientation, age, religion, belief or marital status.

Senior Software Engineer Location: London (Hybrid / On-site) Salary: £100,000 – £150,000 + equity About the Company We’re working with an early-stage, venture-backed legal technology startup on a mission to transform one of the UK’s most broken consumer experiences: the legal process behind property transactions. This market is large, fragmented, and outdated, with high failure rates, poor transparency, and processes still reliant on manual workflows. The company is building the UK’s first AI-native law firm, starting with property transactions and scaling towards a full-service, AI-first legal platform with global ambitions. The business is backed by a leading early-stage VC fund and experienced angel investors, and led by a founder who has previously built and scaled a regulated fintech business to multi-billion-pound lending volumes. That experience provides a strong foundation for navigating regulation while moving quickly in a traditionally slow industry. The Role This is an opportunity for a Staff or Senior Product Engineer to join as one of the earliest engineers in the business. You’ll be part of a small, high-calibre team of generalists who value product thinking, speed, and engineering craft. From day one, you’ll have significant ownership, shaping product direction, shipping to production quickly, and working directly with users to define what should be built. Requirements won’t always be fully formed; you’ll be expected to explore problems, test ideas, and iterate fast. This role reports directly to the founder and offers genuine influence over both product and technical direction. What You’ll Do • Build and ship production features from your first week, • Work closely with users to understand pain points and validate solutions, • Help define product strategy in an ambiguous, fast-moving environment, • Design and scale TypeScript-based systems across the stack, • Build AI-powered workflows and agent-based systems that go beyond basic prompting, • Set engineering standards and raise the bar as the team grows You May Be a Good Fit If You • Have experience at early-stage startups and enjoy high ownership, • Think in terms of user problems, not just technical implementations, • Have scaled and maintained complex TypeScript codebases, • Are comfortable working end-to-end across product and engineering, • Actively experiment with and refine AI-assisted development workflows, • Have built LLM-powered systems or AI agents in production environments Tech Stack • TypeScript monorepo, • React, tRPC, Tailwind, • Event-driven workflows and background jobs, • Deployed on Google Cloud Platform, • Postgres What’s On Offer • £100,000 – £150,000 base salary (depending on experience), • Meaningful early-stage equity, • 5% employer pension contribution, • Private medical cover (including dental and optical), • 25 days holiday plus bank holidays, • Choice of AI tooling, • London-based role (Shoreditch), working closely with the founding team

Senior Software Engineer - Golang - Go - Product - TDD – paying up to £550 (Outside IR35) – Hybrid – 3 months We’re a mission-driven tech company that builds products to help people make confident decisions about their finances and everyday services. They are looking for a strong Go Developer who is excited about working with new technologies. Essential Skills: • Strong commercial experience with Golang, • Must have a Product first mentality, • Experience with observability would be great, • Experience configuring, deploying, and monitoring applications on AWS., • TDD (Test-Driven Development) experience., • API build experience is essential, especially with 3rd party API's, • Comfortable working with relational and NoSQL databases, including complex queries and performance optimization., • Solid understanding of web design patterns, including SOLID principles., • Experience working in an agile, collaborative environment., • Familiarity with automated testing and CI/CD pipelines. The interview process is already underway, so if this opportunity is a good fit for you, apply now!

Engineering Manager (Hands-On) Playter is a UK-based SME lender providing flexible finance to growing businesses. We combine product-led underwriting, real-time data ingestion, and proprietary risk models to originate and service short-term lending at scale. In late 2025, Playter was acquired by Shawbrook Bank. This significantly expanded our engineering remit. We are now building and operating product and platform layers supporting both: • Player-originated lending products, • Shawbrook unsecured SME lending This includes core servicing systems, risk infrastructure, regulatory reporting, and bank-grade integrations. We are actively migrating from a traditional CRUD-style architecture to an event-sourced system across core financial domains (accounts, payments, transactions, balances, journal postings). This is a foundational architectural shift and a central part of our 2026 roadmap. AI is deeply embedded in how we work. We use AI-assisted development tooling extensively, and our product workflows include AI-driven data extraction and understanding layers. Team & Environment • Small, high-calibre engineering team, • TypeScript monorepo, • Node.js services, • tRPC API layer, • Postgres + Prisma, • GCP infrastructure, • Strong product-engineer ownership model, • High autonomy, high accountability Engineers work directly with Risk, Finance, Operations, Sales, and Shawbrook stakeholders. Problems don’t arrive as neatly written tickets. You’ll help define them, pressure test assumptions, and shape the solution before a line of code is written. We’re not a feature factory. You own things end to end - discovery, design, sequencing, implementation, integration, shipping, and watching it in production. If something breaks, you care. If something feels wrong in the domain model, you fix it. The expectation is high autonomy with high accountability. Engineers are trusted to make architectural decisions and are equally responsible for the operational consequences of those decisions. Role Overview We are seeking an early-career Engineering Manager. This may be a Tech Lead moving into management, or someone with 1-2 years of existing management experience. This is not a pure management role. You will remain hands-on, contributing technically (often via AI-assisted development), while taking responsibility for team performance, planning, and delivery. The team is small. This role requires strong organisational discipline without introducing unnecessary bureaucracy. Responsibilities • Line management of engineers (1:1s, feedback, development plans), • Workload planning and prioritisation, • Delivery tracking across multiple parallel initiatives, • Cross-functional coordination (Risk, Finance, Bank stakeholders), • Maintaining high engineering standards, • Contributing technically to key projects Required Experience • Strong full-stack engineering background (Node/TypeScript preferred), • Experience leading projects end-to-end, • Experience mentoring or leading engineers, • Exposure to stakeholder management, • Structured thinking around planning and sequencing work Ideal Experience • Transition from Tech Lead to EM, • Experience in fintech or regulated environments, • Comfort working in small, high-autonomy teams, • Experience managing change during acquisition or integration phases

Senior AI Engineer London - 1-2x week in office Salary: £80,000 - £90,000 This is an exciting opportunity to join a business that is investing heavily in AI and modern cloud technologies. You will play a key role in building AI‑driven products that have a direct impact on customer experience, operational efficiency and the future of their platform. The Company They are a tech‑forward insurance organisation with a strong focus on delivering smarter, more personalised digital products. Their teams combine data, engineering and customer expertise to create solutions that simplify complex challenges for their users. Innovation, collaboration and a flexible working culture are at the heart of how they operate. They continue to scale their AI capability and are looking for someone who can help shape this next phase of growth. The Role In this AI Platform Engineer role, you will: • Design, build and operate AI‑first products that deliver measurable value., • Develop and deploy production‑grade AI agents on GCP using ADK, integrating with internal systems via REST and JSON APIs., • Build and maintain robust evaluation and monitoring frameworks, including online and offline testing, A/B experiments and performance dashboards., • Integrate AI agent functionality with applications through MCP servers and reliable tool configurations., • Develop secure and scalable RAG pipelines, including ingestion, text processing, metadata handling and vector search in GCP., • Embed security, compliance, GDPR controls and best‑practice engineering with clear documentation and stakeholder collaboration. Your Skills and Experience To be successful, you will bring: • Strong Python skills for backend services, SDKs, API development, authentication and testing., • Hands‑on experience working with LLMs, embeddings, prompt engineering, tool calling and RAG design., • Practical knowledge of GCP services including Vertex AI, Model Garden, BigQuery, Cloud Run and Google’s ADK., • Experience with document and data processing using tools such as Apache Tika, plus storage or caching technologies like Postgres, Redis, GCS or BigQuery., • Solid DevOps practices including CI/CD, Docker, observability and automated testing., • A product‑led mindset with a strong understanding of security, IAM, auditability and defining success metrics. What They Offer • Opportunities to shape AI products from the ground up., • A collaborative environment that encourages innovation and career progression. How to Apply If you are excited about building production‑ready AI systems and want to drive meaningful impact, please apply with your CV.

QA Automation Engineer London - 2 days in the office Up to £60,000 plus benefits This is an exciting opportunity to join a high‑growth technology environment where quality engineering plays a central role. You will help shape a modern test automation function, working with advanced tooling, AI‑assisted approaches, and a microservices architecture to improve reliability, performance, and delivery speed. The Company They are a fast‑scaling technology business developing an innovative digital product that empowers users through data, behavioural insight, and exceptional user experience design. Their teams work in cross‑functional squads, collaborating closely to deliver a product that is continually evolving. With strong investment and a culture built around innovation, they offer an environment where engineering decisions genuinely influence product outcomes. The Role • Develop and enhance automated test suites to reduce manual testing., • Contribute to the delivery of a modern financial technology product in a scale‑up setting., • Collaborate with product managers, developers, and QA peers to ensure clarity, consistency, and testability of requirements., • Use AI tools to accelerate test creation, debugging, and synthetic data generation., • Plan, design, and execute testing across smoke, regression, functional, and performance areas., • Create and maintain test documentation., • Work within Agile squads, contributing to planning, estimation, and continuous improvement., • Support the adoption and expansion of test automation across the wider QA community. Your Skills and Experience You bring • Strong commercial experience in QA automation using Java or Kotlin., • Hands‑on use of AI tools to enhance productivity., • A deep understanding of OOP principles., • Proficiency in HTML, CSS, JavaScript, and modern web architecture., • Strong API testing capability using tools such as RestAssured, Feign, Swagger, or Postman., • Experience writing UI tests with Selenium, Selenide, or Playwright., • Familiarity with TestNG, JUnit, and SQL for data validation., • Experience with monitoring and debugging tools such as Sentry or Elasticsearch., • Understanding of performance testing concepts and tools like JMeter or Gatling., • Experience using test management systems (for example TestRail) and project tools such as Jira and Confluence., • Knowledge of CI/CD pipelines, ideally GitHub Actions., • Experience working in an Agile, fast‑paced environment, ideally with microservices. What They Offer • Salary up to £60,000 depending on experience., • Hybrid working in London., • Private healthcare, wellbeing support, and family‑friendly policies., • 25 days annual leave plus inclusive, balanced team socials., • Pension contributions and optional salary sacrifice arrangements., • Support for professional development and access to a modern, welcoming workspace. How to Apply If this sounds like the right next step for you, please apply with your CV and we will be in touch.

PaymentGenes is proud to be partnering with a high-growth, international technology organisation to appoint a Senior / Lead Data Engineer (AI-Focused). This is a strategic hire for a business investing heavily in AI-enabled products and advanced analytics. If you are passionate about architecting modern data platforms that power real AI at scale — this opportunity is for you. This is more than a data engineering role! You will define and scale the organisation’s data platform to power advanced analytics, machine learning, and AI-driven products. Combining deep technical expertise with architectural leadership, you’ll shape long-term data strategy while remaining hands-on in building robust, production-grade systems. You will be accountable for platform reliability, scalability, governance, and AI enablement across the business. 🌐 What You’ll Do 🏗 Data Platform Architecture & Strategy • Define and evolve the data architecture roadmap, • Design scalable ELT/ETL frameworks using DBT and cloud data warehouses, • Establish orchestration standards (Dagster or equivalent), • Drive decisions across batch, streaming, and real-time pipelines, • Architect data foundations supporting the ML lifecycle, • Design feature stores, embedding pipelines, and AI-ready datasets, • Enable MLOps workflows (data versioning, monitoring, retraining triggers), • Support production inference (batch and real-time), • Set best practices for testing, documentation, lineage, and observability, • Lead code reviews and mentor data & analytics engineers, • Drive CI/CD and infrastructure-as-code adoption, • Own platform reliability, performance optimisation, and cost efficiency, • Partner with Data Science, Product, and Engineering leadership, • Translate business strategy into scalable data solutions, • Influence KPI and metric governance across teams, • Act as technical escalation point for complex data challenges 🛠 Technical Environment Core Expertise • Advanced SQL & Python, • Deep DBT experience (modelling, testing, macros, documentation), • Workflow orchestration (Dagster preferred), • Cloud data warehouses (Snowflake, BigQuery, Redshift, etc.), • Data modelling for analytics and AI use cases, • Feature engineering architecture, • ML pipeline and deployment workflows, • Experience supporting production ML systems, • Familiarity with embeddings, vector databases, LLM orchestration (desirable), • CI/CD for data workflows, • Git-based engineering standards, • Docker / containerisation, • Infrastructure-as-code (e.g., Terraform), • Monitoring and alerting systems 👤 What We’re Looking For • 6–10+ years in data engineering or related disciplines, • Proven experience architecting and scaling modern data platforms, • Experience enabling ML/AI production workflows, • Demonstrated technical leadership and mentoring, • Ability to influence senior stakeholders You’ll Thrive If You Have: • Architectural thinking with long-term vision, • Strong decision-making under ambiguity, • The ability to balance innovation with reliability, • Clear communication across technical and non-technical audiences, • A strong ownership mindset and accountability for outcomes 📈 What Success Looks Like • A scalable, reliable data platform powering AI and analytics growth, • Reduced ML time-to-production, • High levels of data quality, observability, and governance maturity, • Improved cost-performance efficiency across the data stack, • A strong, growing data engineering capability within the team This is a high-impact leadership role within a forward-thinking technology environment where AI and data are core to the business strategy. If this excites you, please reach out to the PaymentGenes team directly via LinkedIn, who can provide more detail and insight into this company's journey into AI and the opportunity.

Hive Science is a tech start-up whose technologies are in use by many of the world’s largest brands including Land Rover, Edward Jones & Kroger. The Hive platform is delivering novel intelligence at the intersection of quantitative social psychology, behavioral science & AI/ML to accelerate & transform how work is done. We’re looking for our go-to infrastructure partner to join our team and get on board this rocket ship with us. About the role: This is an exciting opportunity to be part of a psychological science-based tech startup. This role sits within our product team and will be responsible for building, maintaining, and scaling the infrastructure that powers Hive’s next generation of products. This Senior DevOps Engineer will roll up their sleeves and help us continually evolve the foundation of our platform, enabling faster delivery speed and greater scale, as well as supporting new generative AI and machine learning technologies. We’re looking for someone who can bring strong infrastructure and automation expertise, and who can work closely with engineering and data science teams to support rapid product development & launch. Important Details · Location: Hybrid (3 days/week in office). Candidates must currently reside within commuting distance of London, UK. · Employment Type: Full-time · Work Authorization: Candidates must have existing right to work in the UK. Visa sponsorship is not available for this role. · To Apply: Submit your CV to What You’ll Be Doing: As a Senior DevOps Engineer (Product), you’ll be responsible for the reliability, scalability, and security of our entire infrastructure stack; from CI/CD pipelines to production deployments, from infrastructure orchestration to security governance. You’ll be part of a high-powered team located in London. You will build robust systems, move quickly, but be ready to scale and ensure production-grade reliability as our product grows. You will constantly need to be at the cutting edge as we deploy and scale the latest AI capabilities within our core platform. We can’t define everything you will be doing because some of it is unknown based on the disruptive world we live in and you need to be the kind of person ready to pivot at speed and stay at the bleeding edge of this new world. Key areas of responsibility include: Infrastructure & Cloud Engineering: • Design, provision, and manage scalable cloud infrastructure using Infrastructure-as-Code (Terraform, CloudFormation) across AWS (must have deep experience), GCP, or Azure., • Architect and maintain highly available, fault-tolerant systems that support our AI/ML workloads, web applications, and data pipelines., • Manage containerization and orchestration platforms (Docker, Kubernetes, ECS) to support microservices and ML model deployments. CI/CD & Automation: • Build and maintain robust CI/CD pipelines (GitHub Actions, CircleCI, Jenkins) to automate testing, builds, and deployments across dev/staging/production environments., • Implement MLOps workflows to streamline model deployment, versioning, and monitoring for our AI/ML products., • Automate infrastructure provisioning (Terraform), configuration management, and deployment processes using scripting (Bash, Python) and automation tools. Monitoring, Observability & Reliability: • Implement comprehensive monitoring, logging, and alerting systems (Prometheus, Grafana, CloudWatch, Datadog, Sentry) to ensure system reliability and rapid incident response., • Establish SLOs/SLIs and implement observability best practices to maintain high availability and performance., • Lead incident response, root cause analysis, and implement preventive measures to improve system resilience. Security & Governance: • Implement and maintain security best practices including network security, firewalls, role-based access control (IAM), encryption at rest and in transit, and secrets management (AWS Secrets Manager, HashiCorp Vault)., • Develop and enforce governance frameworks for working with LLM APIs and AI services, including data protection, PII safeguards, and compliance requirements., • Conduct security audits, vulnerability assessments, and implement remediation strategies to maintain a secure infrastructure. Collaboration & Technical Support: • Work closely with full-stack engineers and data scientists to support application deployments, optimize performance, and troubleshoot infrastructure issues., • Support ETL/ELT workflows and data pipeline infrastructure for training and inference workloads across databases (SQL, NoSQL, Vector DBs, Graph DBs)., • Provide technical guidance and mentorship on DevOps best practices, infrastructure design, and deployment strategies. Required Skills & Experience: • Strong experience provisioning and managing secure cloud infrastructure (AWS preferred, also GCP or Azure), • Expertise with Infrastructure-as-Code tools (Terraform, CloudFormation, Pulumi), • Strong experience with containerization and orchestration (Docker, Kubernetes, ECS, Fargate), • Proven track record building and maintaining CI/CD pipelines (GitHub Actions, CircleCI, Jenkins, GitLab CI), • Experience with MLOps and supporting ML model deployment workflows (AWS Sagemaker, Lambda, containerized deployments), • Proficiency in scripting and automation (Python, Bash, Go), • Strong experience with monitoring and observability tools (CloudWatch, Prometheus, Grafana, Datadog, Sentry, New Relic), • Experience with database administration and optimization across SQL, NoSQL, vector databases (Pinecone, FAISS), and graph databases (Neo4j), • Knowledge of networking, security best practices, IAM configuration, and secrets management, • Experience supporting data pipelines, ETL workflows, and cloud data platforms (Databricks, Snowflake), • Strong experience with the set up / design / governance and security of Clean Rooms and clean room integrations, • Previous experience in early-stage product teams or high-growth startups, • Ability to balance rapid prototyping with building scalable, production-grade infrastructure, • Strong problem-solving skills and ability to work independently in a fast-paced environment Overall Work Experience & Additional Details: You may have come from a platform engineering team at a tech company or from a startup where you wore every hat. You are fluent in both infrastructure theory and hands-on implementation, and you get a thrill out of building reliable, scalable systems that enable rapid product innovation and support cutting-edge AI/ML workloads. As a fast-paced startup, each day is different from the one before. We’re nimble and creative, and value intellectual humility. We work really hard because we’re all 100% dedicated to the future we’re building. Our work is stimulating, challenging, and exciting. And our team is awesome. At Hive we only hire exceptional people, so you’ll be in good company; surrounded by passionate, insanely smart people who want to build the future of customer intelligence. Specifically, we’re looking for someone who will thrive in this type of environment: • Fast-paced startup with competing demands and multiple priorities ongoing, • Own critical infrastructure decisions that directly shape the products we build, • A ‘solve the problem’ mentality, • Scrappy and creative, • Strong passion for the Hive Science mission and a love of the scientific method

Artificial Intelligence Engineer London, Marylebone (Hybrid / Onsite) Competitive salary + significant equity Do you want to build the "Force Multiplier" for a £400B industry? We are at the forefront of the shift toward Agentic AI—systems that use reasoning loops to independently execute complex business processes. At Prolo, one engineer building an effective agentic fleet can automate the output of an entire traditional department. This is a rare opportunity to join a category-defining, seed-funded startup from the ground up, where your work won’t just ship features—it will redefine how millions of professionals in the construction industry plan and operate. Why Join Prolo? • Founding Team Impact: Shape the product, architecture, and engineering culture from day one., • Technical Depth: Work with cutting-edge AI (OpenAI, Semantic Kernel), graph databases (Neo4j), and modern infrastructure., • Competitive Compensation: Benefit from a competitive salary plus significant equity as an early stakeholder., • Domain Expertise: Gain deep insights into the £400B+ UK construction industry while delivering real business impact., • Fast Iteration: Ship to production daily, receive direct user feedback, and see your work in customers' hands immediately., • Growth Opportunity: Lead and scale engineering practices as we grow, with the potential to lead specialized teams., • Collaborative Environment: Work directly with the founders and have a seat at the table for product strategy., • Modern Stack: No legacy baggage—build with best-in-class tools from the start. About Prolo We’re reinventing procurement for the construction industry using AI. Our conversational platform allows customers to source materials effortlessly across chat, email, and phone, saving time and money with zero setup. We are a small, ambitious team that moves fast and values high-trust collaboration. The Role As a Artificial Intelligence Engineer, you will be our technical authority on Agentic AI. You will design and deploy sophisticated multi-agent systems, proving concepts through rapid prototyping and scaling them into production-grade solutions. Key Responsibilities: • Agentic AI Engineering: Develop multi-agent systems using frameworks like LangGraph or CrewAI for autonomous research and automated coding., • Advanced RAG & Memory: Build sophisticated Retrieval-Augmented Generation (RAG) pipelines and long-term model memory., • Model Optimization: Fine-tune open-source models (e.g., Llama 3/4) to reduce latency and operational costs., • LLMOps: Implement automated "Evals" to measure hallucination rates and tool-calling accuracy., • Expert Python & TypeScript: Deep proficiency in Python for production AI and strong technical fluency in TypeScript., • AI Frameworks: Hands-on experience with some of the following LangChain/LangGraph, LlamaIndex, PyTorch, and FastAPI., • Modern Infrastructure: Experience with AWS Bedrock/SageMaker and using Docker/Kubernetes to scale agent instances., • RAG Expertise: Proven experience building RAG systems; experience with Graph-RAG (e.g., Neo4j) is a major plus., • Production Pedigree: Demonstrable experience owning the design and delivery of complex AI systems in live customer environments. Apply today and help us build the future of construction at Prolo. Prolo Ltd is committed to creating an inclusive and diverse workplace. We welcome applicants from all backgrounds. NO AGENCIES PLEASE

We are looking for an exceptional Frontend Engineer with raw, hands‑on React Native expertise to join one of the fastest growing crypto exchanges world-wide. If you love solving complex mobile challenges, building smooth high‑performance apps, and working with modern frameworks—this is the role for you. This position is 80% Mobile (React Native) and 20% Web (React), making it ideal for someone who is passionate about crafting premium mobile user experiences while still keeping a foot in modern web engineering. What You’ll Do • Build, maintain, and scale high‑quality mobile applications using React Native, ensuring outstanding performance across iOS and Android., • Implement new features and refine existing ones across both mobile and web platforms, driven by user needs and product requirements., • Collaborate closely with backend and product teams to deliver seamless, high‑performance integrations., • Write clean, maintainable, well‑structured code following industry best practices, with a focus on performance, security, and scalability., • Participate in planning, design, development, testing, deployment, and ongoing improvement of all user‑facing features Requirements: • Strong, proven Raw React Native experience — deep comfort with mobile app lifecycle, native modules, storage, networking, and optimization., • Solid experience building React web interfaces (20% of your time will be web-focused)., • Strong knowledge of JavaScript/TypeScript, ECMAScript standards, and modern frontend patterns., • Experience with GraphQL and REST integrations., • Understanding of web fundamentals (DOM, browser storage, CORS, performance)., • Experience with test automation tools and techniques., • Experience building multilingual or globalized apps., • Interest or background in digital assets or emerging tech., • Open-source contributions or community involvement. What’s Offered • Meaningful technical challenges in a modern engineering environment., • Competitive compensation and growth opportunities., • A flexible, supportive, high‑performance culture., • Collaboration with global teams and exposure to cutting‑edge projects.

We are seeking an RF Electronics Engineer to support the design and development of high-performance RF hardware used in advanced electronic systems. You will work with multidisciplinary engineering teams to design, test, and validate RF circuits and subsystems across the product development lifecycle. This role is based in Sydney, Australia, and relocation will be required. The company will sponsor work visa sponsorship for suitable candidates. Key Responsibilities • Design and develop RF electronic circuits and subsystems, • Contribute to schematic and PCB design using industry standard tools, • Develop RF signal chains including filters, amplifiers, low noise amplifiers (LNA), and RF front-end circuitry, • Perform RF testing and validation using lab equipment such as vector network analyzers (VNA), spectrum analyzers, and signal generators, • Troubleshoot hardware issues and support root cause analysis, • Assist with system integration, validation, and production support, • Collaborate with systems, firmware, and mechanical engineering teams Requirements • Degree in Electronics Engineering, RF Engineering, or related discipline, • 5+ years experience in RF hardware or electronics development, • Experience working with RF test equipment (VNA, spectrum analyzer, signal generator), • Familiarity with schematic and PCB design tools (Altium or similar), • Understanding of RF design principles including RF amplification, filtering, impedance matching, and receiver front-end design, • Experience with low noise amplifiers (LNA) and RF front-end circuitry is highly desirable, • Experience with RF power amplifiers or RF front-end design Nice to Have • Knowledge of antenna systems or antenna integration, • Experience with RF simulation tools (ADS, Microwave Office, or similar), • Exposure to software defined radio (SDR) Don’t miss out, Apply now! If you want to discuss further, contact Princes at Profound People 📧

🚀 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 PCB Layout Engineer (Hayes, Middlesex) I'm currently working with an exciting and innovative client in the electronics and advanced technology space who is looking to bring a Senior PCB Layout Engineer into their growing engineering team who are based in Hayes, Middlesex. This is a fantastic opportunity to work on high-impact projects where your expertise in PCB layout, Altium, and design for EMC will be key in shaping complex electronic systems used in demanding environments. You’ll work closely with highly skilled engineers across disciplines to take designs from concept to production, ensuring performance, compliance, and manufacturability. 🔧 Responsibilities for the Senior PCB Layout Engineer job: • Capturing schematics and delivering high-quality PCB layouts using ALTIUM Designer, • Managing and validating the PCB component library, • Collaborating with electrical, mechanical, and production teams to support new product development, • Ensuring compliance with IPC standards, high-voltage clearance rules, and EMC design best practices, • Supporting internal and customer-facing design reviews, • Contributing to DFM and test planning from early design stages, • Managing documentation, BOMs, and change control processes ✅ Skills & experience required for the Senior PCB Layout Engineer job: • 5+ years’ experience in PCB layout and schematic capture, • Strong knowledge of ALTIUM, including library and layout management, • Experience with flex-rigid, metal-backed PCBs, and mixed analogue/digital board designs, • Comfortable designing for controlled impedance, high-speed signals, and switch-mode power supplies, • Ability to interpret and work from electronic schematics and mechanical drawings, • Familiarity with creepage/clearance, EMC design practices, and IPC standards 🎓 Preferred Background for the Senior PCB Layout Engineer job: • BSc or equivalent in Electrical/Electronic Engineering, • Experience working within high-reliability or safety-critical environments, • Familiarity with configuration management and product documentation tools If you're looking for your next challenge and want to be part of a highly respected team working on real-world engineering solutions, this is a fantastic role to explore. APPLY HERE for this Senior PCB Layout Engineer job in Hayes, Middlesex by sending a copy of your CV to For more information you can call Scott Newcomen on 01525 659123.

Are you a senior Power Electronics / High-Voltage Systems Engineer ready to take ownership of complex, mission-critical architectures? Join a leading global subsea telecoms company designing and delivering subsea cable infrastructure that underpins international communications networks. In this role, you’ll lead the system architecture and technical definition of next-generation Power Feeding Equipment (PFE) - high-voltage DC power systems that operate reliably for decades in some of the world’s most demanding environments. You’ll translate product requirements into robust system designs, define performance budgets, and ensure all functional blocks integrate seamlessly across the full product lifecycle. What you’ll do • Define and own the PFE system architecture, covering high-voltage power conversion, power distribution, redundancy, and fault tolerance., • Develop and deliver System Technical Functional Specifications (TFS), ensuring full traceability from product features through to subsystem and unit-level requirements., • Partition top-level PFE requirements into clear performance budgets across functional blocks (power, efficiency, reliability, thermal, safety)., • Lead system-level trade studies, assessing the impact of architectural decisions on reliability, availability, cost, size, manufacturability, and maintainability., • Coordinate closely with electrical, software, firmware, and mechanical teams to resolve design conflicts and drive integrated system solutions., • Guide system integration, verification, and validation activities, ensuring requirements are clear, testable, and verifiable., • Perform and support system-level FMEA, FTA, RCA, and risk analysis to deliver highly reliable designs., • Provide technical leadership through design reviews, supporting prototype development, testing, and post-production investigations., • Influence technology choices and R&D direction to support future PFE platforms. What we’re looking for • Strong background in power electronics and high-voltage system design, ideally within industrial, aerospace, defence, or telecoms environments., • Proven experience defining system architectures, developing technical specifications, and working across multidisciplinary engineering teams., • Deep understanding of DC-DC power converters, power distribution, redundancy concepts, and fault-tolerant design., • Experience with performance budgeting, system reliability, and lifecycle considerations., • Confident communicator, able to explain complex technical decisions and influence stakeholders., • Hands-on experience supporting system testing, validation, and troubleshooting is highly valued. Why this role? • Architect next-generation subsea power systems that operate at up to 21 kV and underpin global communications., • Work at true system level, shaping architecture and influencing long-term product strategy., • Hybrid working: 3 days per week onsite., • Competitive package: £80,000 – £82,000 base + £6k car allowance + 10% bonus., • Join a highly experienced engineering environment with existing platforms to build upon - not start from scratch.

Position Overview: We are seeking a Staff Software Engineer to join our innovative Biometrics team, where you will lead the architectural design and full-stack development of cutting-edge digital identity verification solutions. You will play a pivotal role in shaping the future of biometric authentication technology, from face matching and liveness detection to seamless user experience across web, iOS, and Android platforms. This role combines deep technical expertise with strategic thinking to drive the evolution of our biometrics platform in an industry rapidly advancing toward quantum computing and zero-knowledge proof paradigms. Responsibilities: • Lead the full-stack architectural design and implementation of biometric identity verification solutions spanning React web applications, Swift iOS SDKs, and Kotlin Android SDKs, • Drive technical strategy and roadmap development for the Biometrics platform, ensuring alignment with emerging industry standards including NIST FRTE and FIDO Alliance requirements, • Design and optimize Python-based AI/ML backend systems for biometric processing, with integration points across Ruby and Elixir microservices, • Collaborate with cross-functional teams to implement privacy-compliant solutions adhering to BIPA, CUBI, ETSI, and GDPR regulations, • Mentor and guide engineering teams through complex technical challenges, code reviews, and architectural decisions, • Partner with product management and engineering leadership to translate business requirements into scalable technical solutions, • Champion software security best practices including secure SDLC, cryptographic implementation, and code obfuscation techniques, • Lead the evaluation and integration of emerging technologies such as quantum-resistant cryptography and zero-knowledge proof systems, • Drive continuous improvement of development processes, deployment pipelines, and system reliability, • Represent Entrust's technical capabilities in industry forums and contribute to open-source biometric standards Your future short-term and major projects: • Grow adoption of Biometrics products, from face matching, liveness detection and authentication, all the way to how these are integrated from user experience to mobile development and backend processing, • Work with Director of Engineering and your Staff Engineer+ peers to define path forward for how Biometrics technology will evolve in the context of our team, but also in the context of the Entrust ecosystem and, ultimately, our position in the Digital Identity industry landscape, • Architect and implement quantum-resistant cryptographic protocols for biometric data protection and zero-knowledge proof integration, • Contribute to design of unified SDK architecture that provides consistent developer experience across React, Swift, and Kotlin platforms, • Drive the development of real-time biometric liveness detection capabilities with sub-second response times and 99.9% accuracy Basic Qualifications, Skills & Experience • Bachelor's degree in Computer Science, Software Engineering, or related technical field, • 8+ years of professional software development experience with a focus on full-stack engineering, • 4+ years of experience in a senior or staff-level engineering role with demonstrated technical leadership, • Expert-level proficiency in at least two of the following: Python (preferred), React/TypeScript (preferred), Swift/iOS development, Kotlin/Android development, • Strong experience with cloud platforms (AWS, Azure, GCP) and containerized deployment using Docker and Kubernetes, • Proven track record of designing and implementing scalable distributed systems and microservices architectures, • General understanding of modern AI/ML frameworks (TensorFlow, PyTorch) and model deployment in production, • Deep understanding of software security principles, cryptography, and privacy-by-design methodologies, • Experience with agile development methodologies and modern DevOps practices, • Strong communication skills with ability to explain complex technical concepts to diverse audiences Preferred Qualifications, Skills & Experience: • Experience in multi-threaded applications and high-performance computing environments, • Experience with software security concepts (secure SDLC, cryptography, obfuscation, code signing, and security testing), • Experience with SaaS development and deployment at scale, • Experience with Docker, Kubernetes, Terraform or similar, • Experience with monitoring tools like Sentry, NewRelic, Datadog, Splunk or similar, • Experience in SSO, SAML 2.0, OAuth 2.0, and modern identity federation protocols, • Experience developing a commercial/external software product with external API consumers, • Previous work in biometrics, computer vision, or identity verification domains, • Knowledge of privacy regulations (GDPR, BIPA, CCPA) and their technical implementation requirements, • Experience with Ruby on Rails, Elixir/Phoenix, or other backend frameworks beyond Python, • Understanding of zero-knowledge proof systems and their practical applications, • Experience with mobile app security, including certificate pinning, runtime application self-protection (RASP), and anti-tampering techniques, • Masters or PhD in Computer Science, Machine Learning, or related field, • Familiarity with quantum computing concepts and post-quantum cryptography We're hiring in either London or Lisbon!

Principal Embedded Engineer About the Role An exciting start-up disrupting the consumer hardware industry is building a new category of AI-native devices. Firmware sits at the core of their products, and they are looking for a Principal Embedded Engineer to help build the embedded platform that will power every device they create. In this role, you will work at the very beginning of the product development lifecycle - from early breadboard prototypes through to globally shipped consumer products. You'll help enable rapid hardware experimentation while architecting production-grade firmware designed to scale. They value engineers who enjoy building things, experimenting with side projects, and who have a strong instinct for great product experiences. Responsibilities • Own the Firmware Platform - Architect and implement the core firmware layer underpinning every device, balancing flexibility for rapid prototyping with long-term production reliability., • Lead Prototype Bring-Up - Stabilise early hardware prototypes and develop firmware that enables fast iteration across sensing, interaction and connectivity., • Ship Connected Consumer Devices - Develop secure provisioning, Wi-Fi/BLE connectivity, encrypted cloud communication and device management capabilities for globally deployed products., • Integrate Multi-Modal Sensing - Build robust pipelines for microphones (I2S audio), gesture or proximity sensors and camera modules, managing acquisition, buffering, latency and power constraints., • Design for Scale & Longevity - Implement OTA update systems, rollback strategies, version control and diagnostics to support large fleets of devices in the field., • Bridge Hardware & Software - Collaborate closely with hardware engineers, designers and backend teams to ensure firmware supports the intended product experience., • Set the Embedded Standard - Define firmware architecture, tooling, CI workflows, testing practices and documentation that future embedded engineers can build upon. What They’re Looking For • Production Firmware Experience (ESP32 / RTOS) - Strong experience developing production firmware in C/C++ on ESP32-class microcontrollers using ESP-IDF or similar environments., • Connected Consumer Hardware - Experience shipping connected hardware products into real consumer environments, with knowledge of provisioning, security, OTA updates and post-launch support., • End-to-End Lifecycle Ownership - Comfortable working across the full product lifecycle - from early prototyping through certification, manufacturing and long-term maintenance., • Sensor & Audio Integration - Experience integrating microphones, cameras and other sensors, including driver development and real-world performance tuning., • Hardware Debugging Skills - Confident reading schematics, debugging hardware with oscilloscopes or logic analysers and diagnosing cross-layer issues., • Systems Thinking - Ability to design firmware with a holistic view - managing memory, latency, concurrency, power consumption and failure scenarios., • AI-Augmented Development - Experience using AI-assisted development tools as part of the engineering workflow and an interest in building developer-friendly platforms., • Collaborative Approach - Comfortable working cross-functionally with engineers, designers and product teams to translate product ideas into working hardware., • Curious Builder - Enjoys tinkering, building side projects and exploring new technologies. Benefits • £60,000 - £80,000 depending on experience, • 30 days annual leave including public holidays, • Pension scheme, • Cycle to Work scheme and season ticket loans, • Hybrid working (in-office culture with flexibility & wfh Fridays), • Supportive and collaborative team environment

Belcan is recruiting for an OT Security Engineer on a Permanent basis based from our South West London office. This project is working within the Oil & Gas Industry. You’ll be joining a culture that values curiosity, expertise, and ideas as well as equal opportunities, inclusion, and authenticity. Location: London / hybrid - with ad-hoc visits to Norway and Poland. Job Purpose As an OT Cyber Security Engineer you will be responsible for providing OT cyber security support and oversight for product development groups and industrial control system environments within our client’s organisation. This includes defining, managing, and enforcing IACS security controls, processes and procedures. Rely on experience in both information security and automation technologies focusing on industrial controls systems. Additional responsibilities include serving as a member of the IACS Cyber security team, the information and digital services team, working closely with sites, services, technical teams and product groups to ensure that security requirements and support are provided. Job Description Provide secure design, development, and architecture requirements for Industrial Control Systems (ICS) environments and information and digital systems as they relate to ICS and automation. Provide support to write, review, and maintain documents, policies, and standards governing the cyber security requirements for the ICS environment. Provide secure architecture requirements for lab and development networks. Perform security reviews and assessments of systems, networks, and processes/procedures in ICS environments. Assist with testing, selection and implementation of security technologies in ICS environments. Provide support for projects and initiatives that enables sites to accomplish project goals in a secure manner. Provide support for management and remediation of vulnerabilities identified in ICS environments. Support on the development of cyber security technology implementation strategies for ICS environments with clear understanding of the differences between IT and OT environments. Support the execution of risk-based methodologies for cyber security assessments of ICS systems, including remote sites, onsite, third party, and on vessels. Support on the creation of technical design documentation and to write technical reports for both technical and management consumption and understanding. Follows the established metrics and key performance indicators to monitor the overall health and effectiveness of the ISC cyber security program. Stays informed about the latest cyber threats to the ICS environment including threats towards the organisation. Supports on the development of strategies and plans to mitigate emerging cyber threats. Experience required for this role: Bachelor’s degree or equivalent Strong technical ICS experience : ability to review configurations of ICS, identify best practices for backup and recovery of ICS, and understand industrial protocols. Good general technical knowledge: Applications technologies, networks, protocols, databases, operating systems (Windows/Linux) Understanding of Industrial Networks Experience using ICS software including: o Engineering Software o Version Management Software o HMI Software o OPC Software Working knowledge of networking concepts, ability to review network designs, and perform security assessments of network devices (e.g. switches, routers, firewalls). Cybersecurity certifications (e.g.: CISSP) ICS Security Certifications (SANS GICSP, ISA/IEC 62443 Risk Assessment Specialist) Experience implementing security controls, hardening, and technologies in automation systems and networks. Experience implementing vulnerability and patch management in ICS environments. Working knowledge of IACS Security standards. Willingness to travel to other client sites in Europe (5%).

Job Title: Combat Systems Engineer Location: New Malden – minimum 1 day per week on-site Role Type: Permanent Salary: £48,000 - £55,000+ per annum depending on experience Our client, an established defence manufacturing firm in New Malden, require an experienced Combat Systems Engineer to join their multi-disciplined team. This role would suit a Royal Navy service leaver who has prior operational experience working on / with the fleet Combat Management System CMS-1. This role will provide technical support to the design and implementation of a Combat Systems, to impart an understanding of what good looks like and to help shape new and novel ways of improving the solution. You will have an opportunity to develop and enhance your skills, engage with senior figures within the business and work both with MoD and Royal Navy customers. What the role of the Combat Systems Engineer entails: Some of the main duties of the Combat Systems Engineer will include: • Shape and oversee System Requirements – have a technical grasp of what the requirements mean on a Naval platform, • Support Product Owner in technical solution design and validation to existing requirements, • Technical input to System Design and operability – interpretation of technical requirements into system capability, • Working with Royal Navy Operators and Subject Matter Experts to trial, understand and shape system behaviour, • Working with Human Factors and Software Team – review and critique system software development output What experience you need to be the successful Combat Systems Engineer: • Prior Combat Systems experience as a user or developer, • Naval background, • Experience of Requirement Analysis, • IT literate – use of Word, Excel, Powerpoint etc and ability to pick up software tools and packages, • Degree qualified in a STEM related subject or equivalent working experience, • Technical understanding of software development methods and processes, • Experience of working in large scale development environment Candidates would need to have lived & worked in the UK for 5+ years and be eligible for BPSS & SC security clearance. This really is a fantastic opportunity for a Combat Systems Engineer to progress their career. If you are interested please apply as soon as possible as this position will be filled quickly so don't miss out!