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A leading systematic hedge fund is looking for a Senior Researcher to join a growing equity index volatility team. This is a high-impact role working directly alongside an experienced vol PM to develop and manage a live, semi-systematic RV book. The Role: • End-to-end ownership of alpha research within an equity index volatility RV framework, • Research and implement new volatility RV strategies across a systematic core and discretionary sleeve, • Contribute to a proprietary model of index variance and develop vol-of-vol signals for systematic and discretionary use, • Manage a portfolio of live strategies with a focus on Sortino-optimised, economically grounded alphas robust to data mining, • Work within a book that is live, actively scaling, and targeting significant growth in annualised vol The Profile: • Strong quantitative background with hands-on experience in equity index volatility, • Background from a systematic hedge fund, prop trading firm, or equity derivatives desk at a top-tier bank, • Comfortable operating at the intersection of research and trading — able to develop a signal, size it, and manage it live, • Rigorous approach to out-of-sample testing and sceptical of strategies without strong economic priors, • Experience with variance modelling, vol surface dynamics, or volatility risk premia strategies is particularly relevant For more info, please apply below our reach out to our director, Tom, on tom@qenexus.com

The setup: a HFT prop firm, building an ML-driven mid-frequency (mins>hours) global equities team, hiring in London. Central team (building globally across APAC, EU & US), firm-level commitment, not a pod, not a multi-manager. The team lead came out of one of the best firms in the business at this (you'll have to get in touch to find out which one...). The hire(s) they're looking to make are "T-shaped": • Deep specialty in one of: modern ML architecture (PhD-levels-of-depth, not "I ran XGBoost once"), MFT alpha research (order-book imbalance, signal decay, actual trading-aware intuition), or portfolio construction. Plus enough breadth in the other two to hold your own in the room. It's a small team, with big ideas, and needs people who are hands on and comfortable working across different verticals., • Startup ethos. If your instinct when you need a piece of code is "I'll wait for someone to build it," this isn't the seat. If it's "I'll just build it myself this week, then test my idea," it probably is., • Demonstrable ship history. A strategy that went from your head to live PnL, not something you maintained, improved, or co-owned with four other people. People who probably aren't in the sweet spot: • Narrow trade-experts. Five years on one strategy with the rest of the stack handled by someone else doesn't transfer to a team this small., • Comp-first candidates. Package is competitive, but if your first question is what the guarantee looks like, you're probably optimising for the wrong thing. First movers on something like this get outsized upside if it works. Location: London There aren't many teams right now who can credibly offer "MFT ML research built on a world-class HFT execution stack" as the proposition. Even less that can offer that as part of a genuine start-up business within an already successful, capital unconstrained prop firm expanding into new markets and at the start of a very ambitious, very achievable growth story. If you're a couple+ years into a big-firm seat and find yourself more resentful than energised by the size around you, it's probably worth a conversation. ben@augmentti.com

The work This is a systematic quant researcher role within a cross-asset trading environment spanning holding periods from intraday (mins/hours) to weeks. You will own the full research pipeline: signal generation, testing, portfolio-level analysis, and work with live capital. The asset universe is broad: equities, futures, FX, credit, commodities, and ETF structures all feature. The problems are genuinely hard: signal decay, regime sensitivity, execution friction, and cross-asset correlation structure all matter here. You will be expected to form views, test them rigorously, and defend them. The infrastructure You will have access to data and compute infrastructure at a scale very few firms can match. Research custom trading models to compete with the scale of frontier LLMs, consuming trillions of tokens of market data. Experimentation here is not constrained by tooling, it is constrained by the quality of your ideas. How the team operates Research here is a shared endeavour, not a collection of siloed books. Every researcher has full visibility into every active strategy's code. There are no black boxes, no protected territories. The expectation is that collective understanding produces better research than individual ownership. Strategies are sized for their contribution to the portfolio as a whole, not as standalone entities. That means your work is evaluated at the system level, which rewards researchers who think carefully about covariance, capacity, and cross-strategy interaction, not just isolated backtest Sharpe. What we're looking for You have 3-10 years of experience in a systematic trading environment, a hedge fund, prop trading firm, or closely related research role. You have built and shipped predictive models against real market data, not just in simulation. You have a rigorous research methodology, and are driven by data and intuition to come up with novel ideas, and augment existing ones. Core requirements: • Strong statistical foundations: time-series analysis, factor modelling, signal research, • Python proficiency; C++ experience strongly preferred (you will be interacting with C++ day to day), • Experience across more than one asset class, or a clear track record in one with genuine appetite to work cross-asset, • Ability to take a research idea from hypothesis to backtested strategy to production-ready code, • Comfort operating in an environment where your work is visible and subject to peer scrutiny The right mindset: You are intellectually honest about what your models do and don't explain. You are more interested in understanding market structure than in protecting alpha. You find the idea of a shared codebase appealing rather than threatening. Where? London is a focus area, but realistically anywhere across the major financial hubs (NYC, Singapore, Hong Kong, Chicago).

🚀Join the team powering the future of vision AI Hello, hola, 你好, こんにちは, नमस्ते, hallo, bonjour! Thanks for stopping by — we know your time is valuable, so here's what makes Ultralytics special. 🔥 Who we are At Ultralytics, we're on a mission to simplify AI for everyone. As the creators of the world's leading Ultralytics YOLO models, we empower millions of developers, researchers, and companies worldwide to build state-of-the-art computer vision applications. Following our $30M Series A round, we're expanding rapidly across our global hubs in London, Madrid, and Shenzhen. This is an opportunity to join a fast-scaling, high-performance team that's redefining the future of vision AI — where ambition meets impact, and ideas become reality. We move fast. We build boldly. We execute with purpose. And we do it together. 👩 About the role As Senior Talent Acquisition Lead, you’ll own Ultralytics’ global hiring engine end-to-end — building strategy, systems, and an exceptional candidate experience that scales us from ~50 to 100+ employees across the UK, Spain, and China. This is a hands-on, high-ownership individual contributor role for someone who can operate at Series A/B speed while raising the bar on quality. You’ll run full-cycle recruiting across technical and GTM roles, including ML, computer vision, and applied engineering teams shipping YOLO into production. You’ll partner tightly with founders and hiring managers to translate headcount plans into measurable pipelines, strong offers, and predictable hiring outcomes. You’ll also be the “builder” behind our recruiting stack and process — from ATS workflows to sourcing strategy to analytics — ensuring we hire world-class talent while staying aligned with our Mission & Values. ✅ What you'll do Strategy & execution • Own global hiring strategy across London, Madrid, and Shenzhen with clear quarterly goals and scorecards., • Build scalable recruiting processes in Ashby and align onboarding handoffs in Rippling., • Translate org plans into calibrated role kickoffs, interview plans, and hiring manager operating rhythms., • Run compensation planning inputs (ranges, leveling, offers) with market data and internal consistency. Sourcing & pipeline development • Lead proactive sourcing using LinkedIn Recruiter, Boolean search, GitHub, and community signals., • Build repeatable pipelines for ML/AI, computer vision, and core engineering roles tied to our docs ecosystem., • Develop talent maps for priority markets (UK/Spain/China) and maintain warmed executive and specialist networks., • Improve employer branding through high-signal role narratives and visibility across our community. Candidate experience & closing • Deliver a fast, respectful process with crisp communication, feedback loops, and strong closing motion., • Lead offer strategy and negotiation while maintaining fairness, transparency, and speed., • Partner with teams to improve interview quality, reduce bias, and increase signal-to-noise in hiring decisions., • Track funnel metrics and iterate weekly to improve conversion, time-to-fill, and quality of hire. 🍌 Skills and experience Core requirements • 7+ years in full-cycle recruiting with Series A/B scale-up experience and high ownership for outcomes., • Track record scaling a startup from ~50 to 100+ employees across multiple functions and geographies., • Deep expertise with ATS administration, workflow design, and reporting (Ashby strongly preferred)., • Strong sourcing fundamentals (LinkedIn Recruiter, Boolean, GitHub) and comfort with high-volume roles when needed., • Proven hiring manager partnership skills: role clarity, calibration, process discipline, and decisive execution., • Experience supporting global hiring across time zones (UK/Spain/China) with clean coordination and follow-through., • Strong compensation literacy: ranges, leveling, offer construction, and negotiation in competitive markets. Nice to have • Technical recruiting depth in ML/AI, computer vision, and applied research/engineering roles., • Experience hiring for GTM orgs (Sales, Solutions, Customer Success, Partnerships) in developer-led products., • Familiarity with OKR frameworks and operating cadences that drive measurable recruiting outcomes., • Prior exposure to open-source or developer ecosystems (e.g., Ultralytics GitHub)., • Passion for what we build and how it’s used by teams worldwide in our Guides. 🤝 Cultural fit At Ultralytics, we set bold goals and execute with speed, precision, and teamwork. We're driven by hard work, ambition, and resilience — building fast, learning constantly, and delivering measurable impact. You'll thrive here if you: • Take ownership and deliver results with focus and accountability., • Combine strategic thinking with hands-on execution., • Value excellence, grit, and creativity in equal measure., • See collaboration as the foundation for meaningful progress. Our culture is built around our core values: • Relentless progress: Constant evolution and improvement., • Strive for excellence: Perseverance and attention to detail., • Actions, not words: Focus on delivering meaningful results., • Act with urgency: Seize fleeting opportunities., • Open access to all: Transparent communication and collaboration. Learn more in our Ultralytics Handbook and values. 💰 Compensation and benefits We reward excellence and impact — not just tenure or title. • Competitive salary: Reflecting your experience and contribution., • Equity packages: We want our success to be yours too., • On-site collaboration: Work with passionate builders in one of our global hubs., • Flexible working hours: We value results over routines., • Generous time off: 24 vacation days, your birthday off, plus local holidays., • Tech & tools: Work on cutting-edge AI projects that power millions of devices., • Gear: Brand-new Apple MacBook Air/Pro, Apple Studio Display, and AirPods Pro 3., • Learning & development: Dedicated budget for personal and professional growth., • High impact: Your work will shape the future of vision AI. Check out ultralytics.com/careers for more about our culture, values, and teams. 👩 💻 Where and how you can work We believe great work happens where passion meets purpose. • This role is on-site at our London hub., • Applicants must have legal authorization to work in the country of application. We're an in-office team that values daily collaboration, energy, and connection. Being together helps us move faster, learn from one another, and celebrate wins as they happen. Why join us We're not just building models — we're building the ecosystem powering the future of vision AI. If you're ready to build, move fast, and make an impact — this is your moment. Ready to build the ecosystem powering the future of vision AI? Apply now.

An innovative biopharmaceutical organisation is seeking an experienced Associate Director within Safety Surveillance and Aggregate Reporting to provide scientific and strategic leadership across global pharmacovigilance activities. Key Responsibilities • Lead safety surveillance activities for assigned products., • Oversee signal detection and risk management activities., • Author/review aggregate safety reports including DSURs, PBRERs, and PADERs., • Lead development of EU and core Risk Management Plans (RMPs)., • Support safety sections for global regulatory submissions (NDA/MAA)., • Manage clinical and post-marketing safety activities., • Ensure compliance with global pharmacovigilance regulations., • Collaborate cross-functionally and mentor junior team members. Requirements • Degree in Life Sciences or related field; advanced degree preferred., • Extensive pharmacovigilance experience within biotech/pharma., • Strong expertise in signal management, aggregate reporting, and RMPs., • Experience supporting global filings and regulatory interactions., • Strong leadership, communication, and stakeholder management skills. This role requires half the week to be spent on-site.

Job Title: Lead Media Logistics Job Ref: LML-499 Closing Date: 03/06/2026 Summary The Lead Media Logistics is responsible for the management of all media related to live and non-live news and programming content, the design, ownership and continuous improvement of end-to-end media logistics workflows — encompassing automated file movement, live recording chains, and system integrations — as well as the implementation of Ingest and Media Management workflows and providing technical assistance to related teams. They provide insight to continuously improve media management workflows and processes, with a strong emphasis on automation, integration, and operational resilience. Responsibilities • Oversee QC of all Volant Media transmission content., • Manage the Archive team., • Perform edit fixes and prepare TX-ready media., • Coordinate with Scheduling and TX on program acquisitions and materials., • Maintain and update BTS records for programming., • Manage acquisitions workflows and documentation., • Lead the design and governance of end-to-end file movement workflows, including automated transfer pipelines, watch-folder logic, and delivery routing across ingest, storage, and playout systems., • Own and develop integrations between media systems (MAM, PAM, scheduling, playout, and cloud platforms), ensuring reliable data exchange and workflow continuity., • Supporting ingest operations with technical issues., • Ingest media from various sources., • Organise media in Mimir., • Monitor and manage server capacity, expanding rule-based and automated management., • Maintain naming and indexing conventions, exploring advanced indexing and automation tools., • Lead and oversee live recording workflows across diverse sources (satellite, IP, remote contribution, and studio), ensuring capture, monitoring, and timely delivery to downstream systems., • Monitor feeds and perform QC checks using automated tools., • Prepare and export media as needed., • Report on media issues and resolve where possible., • Review workflows and processes to promote automation, innovation, and overall efficiency., • Join cross-functional groups to improve workflows and services, driving innovation and automation across teams. Requirements • Experience of media management, ingest, or contribution operations., • Technical knowledge of video editing software, encoders, signal standards, file formats, codecs and wrappers (e.g. mxf, mpeg, h264)., • Experience in editing on Adobe Premiere Pro., • Knowledge of automated QC software., • Understanding of ML/AI as applied to metadata enrichment and organisation., • Hands-on experience with media workflow automation platforms (e.g. Telestream Vantage, Vidispine, or equivalent) and/or cloud-based media services (e.g. AWS Elemental, Qibb, Azure Media Services)., • Experience managing live recording chains, including scheduling, monitoring, and fault recovery for satellite, IP, and remote contribution feeds., • Familiarity with system integration methods, including API-based connectivity, watchfolder automation, and MAM/PAM interoperability across broadcast and media supply chains., • Excellent organisational and time management skills. Ability to work in a pressurised environment and prioritise accordingly., • Ability to help solve technical issues related to media workflows including ingest, management and outgest., • Capable of taking the initiative and leading by example, delegating up and down., • Adaptation to rapidly changing live environments., • Proven ability to embrace innovation and apply technology improvement to media workflows., • Good understanding of copyright restrictions attached to certain media., • Clear understanding of how the broadcast infrastructure and workflows affect our wider business here at Volant Media., • Willingness to learn specific support profiles, with an emphasis on broadcasting and transmission technologies., • Good team player, able to gain and share knowledge equally., • Knowledge of broadcast principles and workflows., • Interest in news and current events., • Fluency in English. Knowledge of Farsi is not required for this role, but it is considered a bonus. This job description is a written statement of the essential characteristics of the job, with its principal accountabilities, incorporating notes of the skills, knowledge and experience required for a satisfactory level of performance. This is not intended to be a complete, detailed account of all aspects of the duties involved.

Enterprise Customer Success Manager Ultralytics | Hybrid - London Office | Full-time Following our $30M Series A, we’re scaling our enterprise function out of our London hub, alongside teams in Madrid and Shenzhen. We’re hiring an Enterprise Customer Success Manager to own the relationship with our most strategic customers. You'll own 30-40 enterprise and high-value mid-market accounts running Ultralytics YOLO in production. From contract signature through renewal — onboarding, deployment, expansion identification, and the renewal commercials. The CS function exists, the playbooks exist, and you'll plug into a rhythm that's already running. But your book is yours. This role reports to the Head of Customer Success. WHAT YOU'LL DO Own accounts from signature. You run onboarding in conjunction with our Solution Engineers, drive from first production deployment, and stay with the customer through renewal. Front-loaded effort to get them to value, then periodic check-ins to keep them there. Drive net retention. NDR is the headline KPI. You hold the renewal conversation and earn on uplift. You spot expansion signals from new use cases, to new business units or geographies and close them with your AE partner. Hold technical conversations. We don’t need you to write code. But you will discuss model architecture, deployment patterns, and computer vision use cases credibly with ML engineers and technical buyers. You will be expected to understand and consult on your client’s use-cases working hand in glove with Solution Engineering where required. Partner cross-functionally. AEs on joint account planning and expansion handoff. SEs on technical depth and deployment blockers. Product and Engineering on escalations and roadmap feedback. CSMs are the conduit between our customers and our business, we are looking for you to communicate effectively across our organisation. WHAT SUCCESS LOOKS LIKE 60 days: Onboarded with full context on every account. Each one health-scored against the three-signal model. At-risk accounts identified with a plan for each. Able to articulate the value of Ultralytics YOLO and to run early discovery sessions with clients. 90 days: Running QBRs and technical reviews independently. First expansion signals surfaced to AE partners. Renewals forecasted for everything coming up in the next 6 months. 180 days: Owning your book end-to-end, including renewal commercials. Tracking against NDR target with clear leading indicators. Contributing to playbook refinement to show us what's working, what isn't. Providing clear feedback to the organisation on what you are seeing on the ground with our customers. WHAT YOU BRING 3-5 years customer-facing. Technical CS or ex-customer-facing-engineer-turned-commercial. Pure SaaS CS works too. We care about outcomes, not titles. Technically credible. You hold an architecture conversation with an ML engineer without bluffing. You translate technical value into business outcomes for budget owners. Prior experience with technical or developer-facing products (open source, APIs, ML/AI) is strongly preferred — we'll teach computer vision if you've done the harder work of being technical in a commercial seat. You can build trust. Some of your accounts will start sceptical. You sit across from a reluctant buyer, find genuine value, and earn the relationship back. You don't oversell. Commercially sharp. You hold renewal conversations confidently. You spot expansion signals early. You're honest about which accounts are healthy, slipping, or dead and notice patterns across the book quickly. You operate without scaffolding. No implementation team, no onboarding specialist behind you. If you need that structure to do good work, this isn't the job. Complexity over ACV. We don't care if you've managed seven-figure accounts. We care that you've navigated multi-stakeholder, technically deep deployments and made customers successful in messy environments. WHY THIS ROLE Real product pull. YOLO is the most-used computer vision model in the world. Your customers don't need convincing the technology works. They need help getting value from it quickly. True Enterprise Accounts. Fortune 500s and category leaders across manufacturing, logistics, retail, pharmaceutical, and beyond. Technically deep, commercially serious accounts. Mature incentive structure. You own renewals and earn on uplift. You source expansion and earn alongside the AE who closes. The incentives are aligned. When the team wins, you win. Established team, room to shape. Existing CS function, frameworks already in place. Not building from zero. But the function is still scaling, and the right person will influence how it evolves. WHAT THIS ISN'T This isn't a CSM seat at a big SaaS company with Professional services, onboarding, TAMs, and a renewal manager doing the heavy lifting around you. There's no scaffolding. If you need a six-person support cast to do good work, this isn't it. This is for someone who wants to own a book, run it commercially, and be the technical voice in the room. COMPENSATION & PROCESS • £80,000-£95,000 base + variable, OTE positioned at the senior end of the London CS market, • Full-time, London office (hybrid), • 24 vacation days, your birthday off, plus local holidays, • Equity package — our success is yours too, • MacBook Pro, Apple Studio Display, AirPods Pro 3, • Dedicated learning & development budget, • Reports to Head of Customer Success, • Screening with VP Sales & Success or Head of Customer Success, Case Study with VP Sales & Success & Head of Customer Success, Final Round with CEO, • Applicants must have legal right to work in the UK

The firm is an fintech servicing the needs of a retail trading client base About The Role Responsible for growing affiliate/partnership channels in the UK Will include influencers, trading communities, educators, signal providers, digital platforms and other financial services partners. Key to succeeding in this role is identifying and those that can enhance brand visibility and lead to increased numbers of clients signing up. We are looking for someone pro-active with a strong familiarity with the retail trading landscape who can build and manage relationships with the right affiliates Key responsibilities • Affiliate sign up: Identify onboard new affiliates with strong UK trading focus., • End to end management of affiliates and partners from outreach to signup and ongoing management, • Act as point in relationship with overseas marketing teams, assisting with local knowledge and campaigns where appropriate, • Reporting & Insights: Deliver weekly and monthly performance reports., • Monitor adherence to agreed regulatory guidelines, escalating issues where appropriate, • Lead market research of both existing clients and the market in general, identifying strengths and weaknesses of product against competitors. Required Skills & Experience • 3–5 years experience in affiliate/partnerships marketing within Financial Services, • Demonstrable familiarity with retail investing products and services and influencer marketing within this environment, • Understanding of performance metrics and data management, • Knowledge of Compliance guidelines, • Experience of and willingness to be proactive in sourcing new opportunities Please note : • This role is onsite, • Applicants must be able to commit to FIVE days a week in the office., • All applicants must have the right to work in the UK, • No Visa Sponsorship is available

AV Project Manager - I am after a project manager with good Audio Visual systems delivery experience. To be successful in this role you must have be able to deliver multiple projects on time and on budget, whilst working in a team environment keeping all colleagues and clients in the loop (good with timescales). You musty have previously delivered (5years experience) high spec corporate / hospitality / commercial projects that involve the installation and integration of cutting edge audio visual systems, which will encompass full presentation systems, IPTV, videoconference systems ideally Cisco or Poly, MTRs, Huddle spaces along with all related switching and control kit (Crestron), into boardrooms, training rooms, auditoria, meeting rooms, classrooms, lecture theatres and beyond. You must have excellent experience with delivered projects ranging from £200k to £2mn. You will need to demonstrate the ability to be organised and manage a team of permanent and freelance installation engineers. If this sounds like the right mix for you then please send me your full technical CV. Candidates that have a solid experience in corporate AV install and are now looking to step up into project management will be considered. THIS POSITION IS ONLY OPEN TO AV CANDIDATES, THIS POSITION IS ONLY OPEN TO THOSE CANDIDATES WHO LIVE IN THE UK AND CAN WORK LEGALLY. audio visual a/v cisco polycom vc crestron video audio signal av vc installation extrondante audinate qsys qsc hospitality corporate commercial rack installation videoconference audio video signal avixa cts berks berkshire buckinghamshire bucks surrey london hampshire herts Hertfordshire

To apply, please send the following to hive.recruitment@towerbrook.com • Your resume / CV, • A short blurb introducing yourself and explaining why you are a good fit for the Hive, and confirming which location your're applying to (New York or London). Keep it short & real, no need for a fancy cover letter!, • Links to anything cool you’ve built with AI for work, school, or even just on your own time Position Overview The AI Hive is TowerBrook’s new fellowship for applied AI builders. This is not an analyst program and it is not a consulting role. Fellows do not produce slides about what AI could do. Fellows train intensively inside TowerBrook for six months, with the opportunity to progress into a twelve-month embed inside one of our portfolio companies as an Applied AI Engineer, working directly with CEOs and operating teams to ship AI-native solutions that move real numbers. The fellowship runs in two phases. In Phase 1 (six months), fellows are based at TowerBrook in New York or London, training with leading external AI partners and shipping high-priority internal projects across the firm. Fellows who excel in Phase 1 are considered for Phase 2 (twelve months): a full-time, onsite embed inside a TowerBrook portfolio company, working in person alongside the management team and reporting to the CEO, CTO, or Head of AI, and delivering milestone-based work with measured business outcomes. Fellows in this first cohort will have a unique opportunity to shape how TowerBrook builds and deploys AI talent across the portfolio Responsibilities Phase 1. Inside TowerBrook (Months 1 to 6) • Complete a three-week intensive training program with a leading AI-native training partner, covering prompt engineering, agent architecture, Claude Code and other coding assistants, workflow automation (n8n, Lovable), Python, and enterprise AI governance., • Pair with internal devs and senior engineers from best-in-class applied AI firms on live TowerBrook projects, shipping working prototypes within the first six weeks., • Lead at least two internal builds with named senior sponsors as business owners. Projects may span front, middle, or back office (investment teams, operations, finance, IR, compliance, knowledge management) depending on firm priority. Deliver shipped output, not recommendations., • Contribute to the shared Hive knowledge base (reusable agents, templates, playbooks) that compounds across future cohorts. Phase 2. Portfolio Company Assignment (Months 7 to 18) • Match into a portfolio company across TowerBrook verticals based on fit, and relocate as needed to work onsite at the company’s primary office for the duration of the twelve-month embed. Matching is jointly led by the Program Lead, the senior program sponsor, and TowerBrook’s Technology Operating Partners., • Run a four-week diagnostic sprint: map workflows, validate pain points, and produce a twelve-month build roadmap signed off by the company CEO and the TCP sponsor., • Execute three to five milestone-based build sprints of eight to twelve weeks, each delivering measured output (hours saved, revenue uplift, cost reduction, new capability shipped)., • Report directly to the company CEO, CTO, or Head of AI, while retaining ongoing connectivity to TowerBrook for the duration of the engagement., • Attend monthly Hive-wide cross-pollination sessions with other fellows and coordinators. Document learnings for the Hive knowledge base., • At the close of the twelve-month deployment, transition into one of four paths: a full-time role at the portfolio company, redeployment to a second company, a role at TowerBrook, or release into the TCP alumni network. Professional Qualifications & Experience • One to three years of post-university experience in a builder role. We read “builder” broadly: software engineering, data, product, operations with automation exposure, quantitative research, consulting with hands-on implementation, or early-stage startups. Candidates with fewer than one year or more than three years of experience are out of scope for the pilot cohort., • A technical or quantitative undergraduate background is welcome: computer science, engineering, physics, applied mathematics, statistics, computational biology, industrial engineering, operations research, information systems, or quantitative economics. We will also consider non-technical majors with visible builder evidence such as a GitHub portfolio, shipped side projects, or published technical writing., • Fluency with modern AI tools. You already use Claude or ChatGPT daily as a core part of your workflow, not as a novelty., • Working proficiency in Python or another scripting language is a plus — enough to prototype end-to-end without supervision is ideal, but not required. Formal ML engineering or data science experience is not required and is not what we are optimizing for., • Demonstrated evidence of shipped work outside a structured environment: a side project, an automation built at a previous role that nobody asked for, a product used by real users, or published writing with an audience. What you built matters more than where you built it., • Right to work in the United States (for New York candidates) or the United Kingdom (for London candidates) is preferred. Visa support may be available for exceptional candidates. Personal Qualifications • Stakeholder presence. At ease working with a company CEO or a TowerBrook partner, approaching business problems with curiosity and humility., • AI-native instinct. You reach for AI tools naturally during ideation and problem solving., • Builder disposition and bias for action. You try things rather than endlessly plan, and you pick up new tools quickly, including things outside your formal training., • Written communication. You can produce a crisp one-pager that a senior partner or a company CFO will actually read. Compensation & Benefits of working at TowerBrook • Private medical insurance, • Pension scheme with employer contribution, • Intensive applied AI training with a curated set of leading external partners across AI-native education and applied engineering, • Direct mentorship from senior TowerBrook partners, Technology Operating Partners, and portfolio company CEOs, • Guest seminar program featuring frontier AI lab teams, applied AI practitioners, and high-signal technical writers, • Clear post-fellowship pathways: full-time hire at the portfolio company, full-time role at TowerBrook (Applied Engineer, investment associate, or Hive coordinator), redeployment to a second portfolio company, or release into the TCP alumni network, • Access to cutting-edge AI tooling and early-access relationships with leading AI labs through TowerBrook’s partner networks, • A collaborative, entrepreneurial culture within a globally respected investment firm https://www.towerbrook.com/privacy-policy/

Head of Sales - Capital Markets (Sales & Leadership) The Mission: To bridge the gap between sophisticated risk analytics and the world’s most influential financial institutions. Location: London (Hybrid) Package: Competitive base salary + double OTE (uncapped) The Opportunity Our client is a premier provider of global intelligence - an organization that doesn't just provide data, but clarity in an increasingly volatile world. As the Head of Capital Markets, you won't just be closing deals; you’ll be architecting the commercial engine of a world leader in risk insights and financial modelling. This is a high-impact, dual-threat role. We need a Sales Powerhouse who can navigate the complexities of Tier-1 investment banks, hedge funds, and asset managers, and a Visionary Leader who can build, mentor, and inspire an elite commercial team. The Mandate • Drive the Revenue Engine: Lead from the front by managing high-value, complex enterprise sales cycles. You will be the primary point of contact for C-suite stakeholders at major financial institutions, translating abstract data capabilities into indispensable "must-have" solutions., • Strategic Leadership: You aren't just hitting targets; you’re setting the trajectory. You will continue to execute the go-to-market strategy for the Capital Markets vertical on a Global scale, identifying untapped market opportunities and ensuring product-market fit remains razor-sharp., • Build the Dynasty: Recruit, retain, and develop a team of elite account executives. You’ll foster a culture of high performance, commercial rigor, and relentless curiosity., • Influence the Roadmap: Act as the vital link between the front line and the internal teams. You will translate the sophisticated needs of traders and portfolio managers into future product iterations. The Profile • The Pedigree: A deep-rooted background in Capital Markets, with a broad understanding of climate risk, GRC and ESG, • The Closer: A proven track record of high-six and seven-figure enterprise sales. You understand that in this world, relationships are the currency, but data is the collateral., • The Coach: Experience leading teams or a player-coach ready to lead the charge. You know how to scale people, not just spreadsheets., • The Intellectual: The ability to "talk shop" with the C-suite. You don't just sell software; you sell an understanding of the global financial ecosystem. Why Join This Organization? • Market Authority: At the intersection of technology and global intelligence, providing insights critical to capital preservation and growth., • Autonomy: A culture that hires brilliant people and gives them the mandate to build their department as they see fit., • The Stakes: In a world of "noise," this organization provides the signal. Your work will directly influence how major capital is deployed globally., • Incentive: A compensation package reflecting the seniority of the role, including a significant base, performance-driven incentives, and potential equity participation.

Lead Deep Learning Researcher – Hedge Fund I’m partnered with an industry-leading Hedge Fund that, after nearly 20 years of pioneering innovation and hiring some of the brightest minds in the market, is now looking to further its success through the latest advancements in deep learning. The firm has built its reputation on rigorous research and cutting-edge technology, and this hire will play a pivotal role in shaping the next generation of their quantitative research capabilities. The Opportunity This is a rare chance to take full ownership of the fund’s AI research strategy. You’ll have complete freedom to explore, design, and implement novel deep learning models to generate alpha across the fund. Working alongside world-class quants, you’ll define the long-term roadmap for deep learning at the fund - from foundational model research to production deployment. What You’ll Do • Lead the development of advanced deep learning frameworks for financial time-series forecasting and market modeling., • Research, prototype, and evaluate cutting-edge architectures (e.g., GNNs, RNNs, Transformers) for signal discovery., • Collaborate closely with data engineering and trading teams to translate research insights into scalable, production-grade models., • Set and drive the fund’s overall AI strategy, identifying emerging techniques and trends in academia and industry., • Present research internally and contribute to the firm’s broader innovation initiatives. What They're Looking For • PhD (or equivalent research experience) in Artificial Intelligence, Data Science, Computer Science, Applied Mathematics, or a related field., • A strong publication record in top-tier conferences such as NeurIPS, ICML, or ICLR., • Hands-on experience applying deep learning models to complex, ideally temporal or financial, datasets., • Expertise in Python and modern ML frameworks (TensorFlow, PyTorch, JAX, etc.)., • Prior experience in a commercial or industry setting post-PhD, ideally in a similarly data-driven domain. Why Apply • Compensation and total rewards package on par with top Big Tech firms., • Opportunity to define the deep learning direction of one of the world’s most respected hedge funds., • Hybrid model: 3–4 days a week onsite in Central London.

About Sunset+Vine Sunset+Vine, the sports production arm of Tinopolis Group, is a global sports media and digital content company delivering major host broadcast productions, international commissions and multi-platform storytelling for audiences worldwide. We produce thousands of hours of sports content annually across live, non-live and digital formats, with production hubs in London, Glasgow, Cardiff and Milan. Role Overview The Director of Technical Operations leads the end-to-end technical delivery of sports productions across studio, remote and outside broadcast environments. This senior leadership role combines strategic direction with operational oversight, ensuring high-quality, reliable and scalable delivery across broadcast, digital and emerging platforms. With a deep understanding of evolving technologies, workflows and industry innovation, the role is central to driving technical advancement, championing new production solutions and supporting business growth in an increasingly dynamic media landscape. Key Responsibilities Technical Delivery and Live Operations • Lead technical delivery across all productions, including live sports and outside broadcasts., • Ensure high-quality output across linear, digital and streaming platforms., • Oversee signal workflows, transmission and technical quality control., • Act as senior escalation point during live broadcasts., • Ensure robust contingency and disaster recovery planning. Technical Strategy and Innovation • Define and deliver technical strategy aligned to business objectives., • Oversee infrastructure across OB, remote and cloud-based production., • Identify & implement new technologies to improve capability, efficiency and output quality., • Lead long-term technical projects, including system design, supplier selection and implementation. New Business & Commercial Support • Develop technical solutions for bids, RFPs and client proposals., • Provide expert input on production planning and technical approaches., • Support pitches and supplier specification processes. Leadership & Resourcing • Lead and develop technical teams and freelance networks., • Set clear standards of delivery, collaboration and performance., • Oversee crewing strategies and support talent development. Operational & Commercial Oversight • Ensure efficient day-to-day technical operations and workflows., • Monitor performance and drive continuous improvement., • Manage budgets, equipment and supplier relationships., • Deliver cost-effective solutions without compromising quality. Compliance and Risk • Ensure compliance with broadcast, regulatory and client requirements., • Maintain high health and safety standards across all environments., • Manage technical risk and oversee post-event reviews. Person Specification Skills & Experience • Extensive experience in senior technical or broadcast operations roles within live sports production., • Strong track record across outside broadcast and production delivery models, including scaling between premium broadcast and high-volume digital production., • Proven ability to deliver complex, multi-site or multi-event productions at scale., • Deep understanding of production workflows, including OB, remote and digital production, signal paths/transmission, and core broadcast systems., • Strong awareness of emerging technologies, with the ability to drive innovation and improve workflows and efficiency., • Creative, solutions-focused approach, working closely with editorial and production teams to enhance live sports coverage and audience engagement., • Strong leadership capability, with experience building and managing high-performing teams., • Excellent problem-solving skills in live, time-critical environments., • Ability to operate strategically and operationally., • Strong communication and stakeholder management skills. Personal Attributes • Calm and decisive under pressure, • Highly organised and detail-oriented, • Collaborative and pragmatic, • Commercially aware Additional Requirements • Working flexibly, including evenings and weekends, in line with live production schedules., • UK and international travel as required How To Apply To apply, please send a CV and a brief covering email to recruitment@sunsetvine.com by Friday 5th June 2026. Due to the high volume of responses we receive, it is not possible to reply to everyone. Therefore, you will only be contacted if your application is selected for interview. Diversity in Sunset+Vine Sunset+Vine is committed to building a diverse and inclusive workforce and welcomes applications from all backgrounds.

Crypto is the only major asset class left where the microstructure is still being figured out in real time. A top-tier crypto-native market maker — one of the largest liquidity providers in digital assets across CEX, DEX, and OTC — is hiring a quant researcher to push their HFT alpha stack forward. Founder-led, founder-funded, no outside capital dictating the roadmap. Game-theoretic DNA in the research culture. A team pulled from elite trading firms, olympiads, and top research institutions — high-talent, low-ego, allergic to politics. Why this seat is rare Pure research. No plumbing, no devops detours. Feature design, model architecture, signal improvement — that's the job. Full alpha stack. You'll work from feature engineering through statistical modelling to optimiser tuning. Breadth that's hard to find at firms where the stack has been carved into specialist silos. Real feedback loop. They deploy fast. Your work hits live strategies and shows up in PnL the same week — not the same quarter. Markets that still reward thinking. Crypto microstructure is fragmented, fast-moving, and full of inefficiencies the TradFi playbook doesn't quite solve. The interesting problems are still on the table. Who they're looking for A rigorous, empirically-minded researcher who loves noisy data and sharp questions. Strong in Python and/or C++, fluent in stats and optimisation, and able to take an idea from hypothesis to production without hand-holding. PnL track record, olympiad pedigree, or world-class academics — any of the three lands. 2–7 years is the sweet spot, but they hire for slope, not seniority. If you want to do real research in markets that still pay for it — get in touch.

Quantitative Trader - Algorithmic DeFi Trading For those who see the mempool as a chessboard and haven't lost a game they care about yet. We are a representing a quantitative trading firm operating across crypto markets and their DeFi desk is where the serious work happens. Their reputation has been built on being early, rigorous, and relentlessly curious about where the market is inefficient, mispriced, or simply hasn't caught up with them yet. They're not looking for someone to run BAU. They're looking for someone who writes a new playbook and then argues, convincingly, for why the old ones were wrong. What You'll Actually Be Doing • Developing and executing quantitative trading strategies in DeFi markets, • Identifying and exploiting market inefficiencies: arbitrage, MEV, liquidity provision, basis trades, • Building the infrastructure that supports your strategies: from execution scripts to monitoring dashboards to that one crucial on-chain listener that runs at 3am., • Collaborating closely with a lean, highly skilled team. This will look like debating assumptions, stress-testing models, and occasionally being wrong in interesting ways., • Staying genuinely ahead of the curve: tracking protocol upgrades, governance proposals, liquidity shifts and new primitives, • Contributing to the team's broader research culture. You'll be sharing ideas freely, citing your sources, and never hoarding signal. What They're Looking For • Deep, hands-on understanding of DeFi mechanics beyond surface-level familiarity. The knowledge that comes from having lost money to a liquidation cascade for example., • Strong quantitative foundation: statistics, probability, financial modelling, and the intellectual honesty to know when your model is lying to you., • Proficiency in Python (or Rust/C++ if you want bonus points and a knowing nod from the engineering team)., • Experience in systematic or algorithmic trading specifically in DeFi, • Ability to operate with autonomy. They'll point you at the right problems; they expect you to find the right answers. What You Get in Return • Seriously intellectual colleagues: A tight-knit DeFi team that reads papers, argues about mechanism design, and doesn't tolerate bullshit — including their own., • A base at their office in London, with frequent opportunities for inter-office travel globally., • Real capital and real risk: they trade with conviction. If your strategy is good, you can expect them to rally around that with technical support and further capital., • Early access to the right type of tough problems: they're building toward being the dominant force in DeFi trading. Joining now means you help shape the direction and own a real piece of their upside.

👋🏼 ABOUT US At Diligent, we are on a mission to help fintechs and banks automate and enhance Anti Financial Crime operations with AI agents. Leading banks and payment companies use us to automate risk investigations they run when onboarding and monitoring customers in Europe, Middle East, USA and Asia. Our founders have built fraud and AML risk solutions protecting billions in transactions at Europe's top fintechs, and we're taking that experience to revolutionize how financial institutions verify the legitimacy of their customers. With deep expertise in AI-driven risk assessment, we automate the routine investigative workflows that fincrime compliance teams spend hours on manually, freeing them to focus on complex cases that truly require human judgment. We already work with leading fintech unicorns and banks, are growing fast and we're looking for ambitious problem-solvers who are excited about using AI to tackle financial crime at a global scale. If you're passionate about making a real impact in the fight against fincrime, we'd love to have you on our team! 🚀 💼 THE ROLE You'll play a crucial role in shaping the growth engine of our company - helping us shape our go-to-market strategy and executing it! As an intern in our Growth and Business operations team you'll work directly with our Cofounder and CEO on the highest priority initiatives each week. You'll lead our commercial operations and GTM strategy, support product delivery to customers, and help build the foundations of our company. This role is perfect for someone who is a hustler, thrives in ambiguity, and wants to wear multiple hats at an early-stage startup. Typically, this looks like: • [60–70%] Growth and business development execution - Run cold calls, research target accounts, build prospect lists, write and test outbound messaging, support LinkedIn/email campaigns, track follow-ups, and help create new qualified commercial opportunities., • [20–30%] Market, customer, and sales intelligence research - Research fintechs, banks, PSPs, and compliance teams to understand their pain points, priorities, org structures, buying triggers, and current vendors. Turn this into useful insights for our sales strategy and messaging., • [10–20%] Commercial and customer support - Help prepare customer meetings, create sales materials, support follow-ups, document customer feedback, and help ensure we deliver a strong experience across prospects and existing customers. You’ll work directly with senior leaders at banks, PSPs, and fintech unicorns, gaining access to decision-makers and industry problems that most people your age never get to see up close. 5days a week in our office in person near Waterloo St in London. 🤓 ABOUT YOU: Experiences we look for… at least one of the below • Internship experience in a high-pace environment (VC backed startup, Investment Banking, Management Consulting) OR, • Tier 1 uni OR, • Impressive extracurricular activity OR, • Impressive side hustle (Did you build something - e.g. Ecom, or side business? What was it and how impactful was it?) Characteristics we look for: • Extremely Curious: We think curious people run the world. We love those who have an insatiable hunger for more knowledge… about the customer problems, domain knowledge, technical innovations or new ways to approaches to challenges., • Hungry and driven: We are an early stage startup… this is hard and intense work that requires you to be ready to move fast, work hard, take bets and find solutions to problems that haven’t really been solved before. It will be intense but extremely rewarding, • High emotional intelligence: You build trust fast, read the room well, and become a genuine partner and trusted advisor to customers and prospects, • Structured thinker: You're numbers-driven and can think through a goal, break it down into actionable steps, and hold yourself accountable throughout the process., • A true owner: You don't wait to be told what to do. You take full responsibility for your projects from start to finish and thrive in ambiguity, finding practical solutions without overcomplicating things. ⏳ INTERVIEW PROCESS: We are seeking to make our interview as experiential as possible in order for both sides to get the most signal on what it would be like to work together. • Initial application (<2 mins): Submit your LinkedIn (or CV) in the application link below, • GTM team meet-and-greet (30 mins): Introductory call with our Founding GTM team member - get to know each other a little, • Case study / Work trial (60-90 mins): Work on a real challenge we're facing - could be GTM strategy, customer outreach, or operational problem-solving., • Team meet-and-greet (30 mins/ in office): Introductory call with our Cofounder CEO - get to know each other

Senior Software Engineer Engagement: Full‑Time Contractor Location: London / Hybrid Length: 12 month contract Role Summary We are seeking a software engineer specialising in distributed data systems to design and build low‑latency, high‑volume data processing solutions that underpin regulatory voice compliance assurance across the Bank’s strategic data platforms. This is a hands‑on software development role, focused on event‑driven architectures, streaming pipelines, and scalable data matching engines rather than traditional reporting or BI. You will engineer resilient, production‑grade systems capable of processing high‑frequency voice metadata and transactional records at scale, ensuring accuracy, determinism and auditability in compliance controls. You will join a team responsible for delivering mission‑critical compliance technology across enterprise voice platforms, operating in a highly regulated environment where correctness, performance and reliability are non‑negotiable. What You’ll Be Building • Distributed streaming and batch data processing systems for voice compliance assurance, • Low‑latency record matching and reconciliation engines handling billions of events, • Scalable data services operating across Spark, Kafka, Hive and Hadoop, • Production‑grade pipelines supporting regulatory evidence, audit and controls, • Foundations for near‑real‑time compliance signal generation across global voice platforms Key Responsibilities • Design and develop high‑performance distributed systems for large‑scale voice data processing, • Build and optimise Spark‑based processing jobs for high‑volume and high‑frequency workloads, • Engineer Kafka‑based streaming pipelines with strong delivery guarantees and low end‑to‑end latency, • Develop robust data matching and reconciliation logic across heterogeneous voice data sources, • Define and implement scalable data models using Hive and Hadoop ecosystems, • Apply software engineering best practices: version control, code reviews, testing, CI/CD and documentation, • Reverse‑engineer and modernise legacy batch or reporting‑oriented implementations, • Implement data quality, integrity, lineage and auditability controls required for regulatory assurance, • Partner with platform, vendor and voice engineering teams to align data semantics and system behaviour, • Support synthetic data generation and large‑scale performance testing, • Deliver changes through controlled environments in line with enterprise change and release processes Required Technical Experience Core Technologies • Strong hands‑on development experience with Apache Spark, • Proven experience building Kafka‑based event streaming systems, • Deep familiarity with Hadoop ecosystems, including Hive, • Advanced SQL for complex, large‑scale datasets Engineering Capabilities • Experience designing low‑latency, high‑throughput data pipelines, • Strong understanding of distributed systems, data partitioning, fault tolerance and scalability, • Ability to distinguish and design appropriately for high‑frequency transactional vs high‑volume batch workloads, • Experience building ETL / ELT systems as production software, not ad‑hoc scripts, • Comfortable working close to infrastructure and platform constraints Nice to Have • Exposure to voice or communications platforms (e.g. Cisco, NICE, IPC, Microsoft), • Experience working in regulated or compliance‑driven environments, • Familiarity with Agile delivery models and iterative software development Attributes for Success • Strong engineering mindset with pride in clean, maintainable code, • Obsession with accuracy, determinism and data integrity, • Calm, methodical problem solver comfortable operating under regulatory expectations, • Able to translate ambiguous compliance requirements into concrete technical solutions, • Clear communicator who can bridge technical and non‑technical stakeholders TO APPLY - PLEASE APPLY WITH AN UP-TO-DATE CV Candidates will ideally show evidence of the above in their CV in order to be considered. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. *Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone’s chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.

We are building a talent pipeline and are interested in connecting with potential candidates for future opportunities. This posting is to gather expressions of interest for upcoming roles. This role is based on-site in the UAE and will require relocation. Who We are? ALEC Engineering and Contracting L.L.C. (ALEC), part of ICD, is a leading GCC construction company known for delivering complex, high-profile projects. With 20+ years of experience, ALEC builds across sectors including airports, hospitality, retail, and high-rises. In the UAE, ALEC has delivered many of the nation’s most iconic developments, operating as a fully integrated contractor through specialist business units that provide end-to-end construction solutions. At ALEC Technologies, we offer a wide range of integrated technology solutions designed to meet the needs of modern environments. From ICT infrastructure and ELV systems to Audio-Visual (AV) solutions, Security Systems, and IoT & Smart Solutions, our offerings are crafted to enhance efficiency, improve safety, and deliver unique user experiences. Why Join Us? As an AV Engineer at ALEC Technologies, you’ll lead the design, installation, and operation of large-scale, state-of-the-art audio-visual systems. This includes LED domes, 360° projection systems, spatial audio, and interactive media platforms. The ideal candidate thrives in cutting-edge environments and has experience delivering unforgettable, high-impact AV experiences. Your Role • Lead the design, installation, and commissioning of complex AV systems, including LED displays, projection domes, and immersive media environments., • Collaborate with media architects, lighting designers, and content teams to create synchronized audio-visual experiences., • Program and operate media servers, control systems, and networked AV devices., • Troubleshoot real-time AV issues during testing and live events., • Ensure AV systems are scalable, maintainable, and meet safety and technical standards., • Provide technical guidance to junior engineers and contractors. What We’re Looking For • Bachelor’s degree in Audio-Visual Technology, Media Engineering, Electrical Engineering, or a related field., • 5+ years of experience in large-scale AV, immersive, or projection-based installations., • Proficiency with media servers (e.g., Notch, Watchout, Disguise) and AV control systems (Crestron, Q-SYS, AMX)., • Experience with projection mapping, LED dome systems, and spatial audio setups., • Strong understanding of networked AV systems, signal routing, and video/audio troubleshooting., • Excellent problem-solving skills and ability to work under tight deadlines. Top Skills • Experience with large-scale venues or entertainment installations (e.g., arenas, theaters, concert venues)., • Knowledge of interactive or real-time content systems., • Familiarity with 3D visualization and content pipelines for immersive environments. What We Offer • The chance to contribute to some of UAE most iconic projects., • A collaborative, supportive environment that values innovation and excellence., • Opportunities for professional growth and career progression. Ready to elevate your career? Join ALEC Technologies and play a key role in delivering iconic projects while growing in a dynamic and supportive team environment. We’re excited to hear from you! If you’re inspired by what you’ve read and believe you’re the right fit, we’d love to hear from you. Join ALEC Technology and play a pivotal role in shaping a high-performing team that drives our success. Apply today and be part of something excellent!

Sonos is looking for a hands-on R&D Prototyping Technician to support the Advanced Experiences team in London during a key period of experimental work, hardware prototyping, and data collection. This role is ideal for someone who is technically capable, detail-oriented, and comfortable working with physical prototypes, lab setups, and structured research protocols. You do not need to be a specialist in sensing or signal processing; success in this role will come from being practical, reliable, organized, and confident working with experimental hardware under the guidance of research leads. The contractor will help ensure continuity across hardware builds, prototype iteration, user data collection, and documentation. This is a primarily on-site role in the Sonos London office near London Bridge due to the hands-on nature of the work. Term: 6 months, May/June to Oct/Nov 2026, with possibility of extension Engagement: 3–4 days per week, in person with some flexibility Compensation: Competitive day rate, based on experience and scope Responsibilities • Assemble, modify, and support electronic hardware prototypes based on provided designs, instructions, and research team guidance., • Support basic hardware bring-up, debugging, and troubleshooting for experimental prototypes., • Carry out 3D printing, post-processing, and minor mechanical iteration to support prototype development., • Assist with light CAD or mechanical modeling tasks when needed., • Set up, maintain, and prepare experimental hardware for sensing studies and research sessions., • Run user data collection sessions by following established protocols and ensuring consistent, accurate execution., • Support research studies involving optical sensing and EEG, following defined procedures. Prior experience with these specific domains is not required., • Document build procedures, experimental setups, session notes, observations, and handoff materials clearly and consistently., • Communicate progress, blockers, issues, and technical observations to research leads and team members., • Provide practical, hands-on support to the broader R&D team within the agreed scope of work. Qualifications • Experience assembling and working with physical prototypes., • Familiarity with fabrication workflows, hardware assembly, bring-up, and iteration., • Experience with microcontrollers and Python scripting is preferred., • Comfort working in lab or experimental environments with disciplined setup, execution, and documentation practices., • Ability to follow written and verbal technical instructions accurately., • Strong attention to detail, especially when handling hardware, research protocols, and human-subject data collection., • Clear communication skills and the ability to share progress, issues, and observations with a multidisciplinary team., • Comfortable working primarily on site in London for hands-on hardware and experimental research activities.

Company Description Convu is the memory layer for in-person professional relationships. Your next client, investor or hire is already in your network. You met them in a room, on a panel, over a coffee, and the moment slipped away before the relationship formed. We believe professional networking is fundamentally broken. Convu aims to fix that. Meet someone, drop a voice note, and the conversation is captured, enriched and ready to act on. AI drafts the follow-up in your voice, sent from your own WhatsApp, LinkedIn or email so the reply lands with you. Smart nudges before relationships go cold. Every handshake searchable across your team. Every room measurable as pipeline. Connect. Coordinate. Compound. Live with design partners on iOS, Android and web. Supported by NVIDIA Inception, AWS Amplify and Google Cloud Startups. Role Description Full-time, hybrid. 2 days in our London Bridge / Farringdon office, 2 days remote, 1 flexible. Graduate. This is for the graduate ready to join an AI startup with real potential to scale, where you sit in the heat of every decision and build something that didn't exist before you got there. You'll be one of the first people building Convu. AI as your default operating system. A market to go win. Three main buckets: partnerships, events, distribution. • Build partnerships. FSB and LCCI on the institutional side, university societies, accelerators and founder communities on the founder side, plus co-marketing with adjacent tools., • Run Convu Events. Pick the right rooms in London, build collaborations with co-hosts and partners, represent Convu in the room, onboard people onto the app there and then. AI is your operating system. Every email drafted, every prospect researched, every workflow automated before it eats your week., • Working on real problems. Real customers, real revenue, real partnerships. What you ship today is live tomorrow., • Build a personal brand and audience alongside ours. Qualifications we value (over just experience) We value innovation and instinct over a polished CV. Most applicants will be graduates, so we're reading for signal, not seniority. • Hungry to learn and build. You see this role as the start of something bigger. Breadth before depth across partnerships, events, sales, marketing, market research, product and AI workflows., • High achiever, big ambitions. Top of your class, society or team. The kind of grad who could walk into a top-tier banking or consulting offer but chose to bet on a startup., • Hands-on delivery across the board. Project management, marketing, market research, copy that worked, audiences you grew. Running societies, side projects, campaigns or hackathons and hitting deadlines you set yourself., • AI as default. ChatGPT, Claude, Cursor are your operating system, not your novelty. If they're not, this role won't work., • Problem-solving, entrepreneurial spirit. You break down messy briefs, find a path, ship version one. Bonus if you've started, sold or scaled something of your own., • Startup or high-growth experience is a plus, not a requirement. AI or SaaS product exposure helps., • Based in London. 2 days a week at our London Bridge or Farringdon office. What we read as real signal: leading a project, team or a society and making it actually work. AI woven into your current way of living, not as a novelty. Package • Competitive base based on the hire + discretionary performance bonus, • Meaningful equity. Real upside as we hit milestones. This role grows with the company., • Direct line to the founder, no bureaucracy., • Real responsibility from week one., • 37.5 hours a week, 28 days holiday plus bank holidays. How to apply Send your CV to careers@convu.ai, answering these two questions. Don't just use AI - we'll know: • Why are you right for Convu? What excites you about what we're building? (200 words max), • One interesting use case you've used AI for. It can be anything: a society project, something you've built. (200 words max) If there's alignment, we'll invite you to a short video assessment. Then an interview with the founder, then make you an offer, if it's right for both sides. Start date: as soon as we find the right person. Hiring now.

Security Content Engineer Location: London (Full time - 5 days onsite) Salary: Up to £65,000 + bonus Clearance: Must be eligible for UK Developed Vetting (DV) clearance We are seeking an experienced Security Content Engineer to join a high-performing Security Operations Centre (SOC) environment. This role is focused on designing, developing, and optimising detection content to strengthen cyber defence capabilities and improve threat visibility across enterprise environments. You will play a critical role in enhancing detection efficacy, reducing false positives, and ensuring robust coverage against evolving threat landscapes. Key Responsibilities • Design and implement detection use cases across SIEM and SOAR platforms using threat intelligence and incident data, • Develop, map, and maintain detection logic aligned to MITRE ATT&CK frameworks, • Continuously tune and optimise correlation rules to improve signal-to-noise ratio, • Validate detection logic through simulations, threat emulation, and red team collaboration, • Work closely with SOC tooling and engineering teams to ensure efficient data ingestion and parsing, • Document detection logic, methodologies, and expected outputs for audit and operational use, • Contribute to post-incident reviews, enhancing detection coverage and response effectiveness, • Maintain and evolve a repository of use cases, KPIs, and SOC performance metrics Requirements • 3+ years of commercial experience in SOC content engineering, detection engineering, or SIEM administration, • Strong hands-on experience with SIEM platforms and query languages (e.g. SPL, KQL), • Solid understanding of detection engineering principles, data modelling, and regex, • Proven experience working with MITRE ATT&CK and threat-informed defence strategies, • Ability to design scalable and maintainable detection content in complex environments, • Strong documentation and stakeholder communication skills Desirable • Relevant certifications such as Splunk Enterprise Security, GIAC GCDA, or similar, • Experience with SOAR platforms and automation workflows, • Background in threat hunting or incident response If you are a detection-focused cyber security professional who thrives on building high-quality, intelligence-led SOC content, apply today.

London or New York, partially on-site AI will write most of the world's code. The interesting bottleneck is no longer whether a model can produce code; it is whether anyone should trust it. We are building the trust stack for AI code generation, targeted at high-stakes computing where wrong numbers cost real money. A statically typed language designed for coding models. A compiler whose guarantees double as audit-grade trust infrastructure. A coding model fine-tuned on the language, with the compiler emitting the continuous fitness signal that becomes its training reward. Language and model are co-designed. We are a small team out of PyTorch, FAIR, NYU, & KCL, with strong institutional VC support from our pre-seed and active investor interest heading into seed. What you will do Own the research agenda across the language and the model. Design type systems and compiler analyses that yield useful fitness gradients. Fine-tune coding models on a language with no pretraining footprint, including the supervised and reinforcement stages that build competence from zero. Publish in PL and ML venues. Choose the next experiments. Help shape what verified computing looks like in the wild. Who you are You publish at top venues in some combination of machine learning, programming languages, or formal methods. People who cross between them are who we want most. PhD preferred, equivalent output equally fine. You can talk fluently about both training dynamics and type systems. You do not need expertise in both, but you need real curiosity about whichever one you arrive without. You write production code. Our stack is Rust and Python. You are comfortable with early-stage ambiguity. The team is small. You will define your own roadmap and defend it with evidence. Why join us? You work directly with founders who have built infrastructure used across the industry. The research is well-scoped, the commercial wedge is real, and the equity reflects how early it is.

Head of Sales | AI PropTech | Hybrid, London-centric | Reports to CEO The business is an award-winning AI PropTech, live with marquee customers across UK social housing and European facilities management. Real ARR. Real references. Backed by strategic and venture investors. We're at the stage where the GTM motion is proven, the product wins competitive bake-offs, and the next leg of growth is about disciplined scale rather than invention. What you'll actually do This is a hands-on commercial leadership role. You'll report directly to the CEO and sit on the leadership team. You'll also carry a number, run your own deals, and lead from the front on the strategic accounts. A typical week looks like: • Leading and coaching a small, capable sales team (AE plus SDR support) on pipeline, deal strategy, and forecast discipline, • Personally owning and closing the top of house strategic deals across multi site FM providers, large registered providers, and local authorities, • Running demos and C level conversations alongside the team, not just inspecting CRM, • Owning the GTM playbook end to end, including ICP, messaging, pricing, and partner motions, • Representing the business at industry events and on customer panels, • Sitting in on board and investor conversations, owning the revenue narrative, • Working closely with Product and Marketing to convert market signal into commercial outcomes What we need from you • A proven track record selling B2B SaaS or enterprise tech into either Facilities Management providers or UK social housing, local authority, or registered provider buyers. This is non negotiable. These are long, technical, procurement heavy sales cycles and we don't have time to fund the learning curve., • A genuine player coach. You've led teams of 3 to 12 sellers, but you still close your own deals and you'd be bored if you didn't., • You can stand up in front of a board and own the number, including forecast accuracy, pipeline health, and the gross margin conversation., • You're comfortable building the system while hitting the number. We're scaled enough to be serious, lean enough that you'll roll up your sleeves., • Commercially literate on pricing, packaging, partnerships and channel, not just direct sales. Logistics Remote first, with frequent time in London for customers, team and CEO. London or a sensible commute strongly preferred. Competitive package including base and uncapped bonus.

My client is seeking an experienced quantitative researcher to join a new team focused on building a mid-frequency systematic equities trading system. The successful candidate will work closely with the Senior Portfolio Manager to design and develop the strategy from the ground up, taking a leading role in the research effort and the overall investment process. This is a senior, leadership-oriented position that includes responsibility for shaping the research agenda and supporting the growth of the team. Core responsibilities Research, build and maintain all aspects of the trading system, including alpha research, signal construction and combination, portfolio construction, and trade optimisation. Build and maintain the quantitative research ecosystem, including data pipelines, backtesting frameworks, and tools for evaluating model performance. Implement robust logging, monitoring, and diagnostic processes for the trading system, and drive timely investigation and remediation of issues. Generate, test, and prioritise new research ideas to improve model performance and robustness over time. Contribute to the recruitment, mentoring, and development of junior team members, fostering a rigorous and collaborative research culture. Preferred Skills and Experience Multiple years of experience working collaboratively on mid-frequency systematic equities trading strategies. Solid understanding of quantitative finance concepts, statistical analysis, and, ideally, practical applications of machine learning. Strong programming expertise in Python and related libraries (e.g. NumPy, pandas, Polars, etc.). Experience working with large, noisy datasets, including data cleaning, feature engineering, and validation. Masters or PhD in a quantitative subject Creativity and out of the box thinking Excellent analytical skills and a rigorous, detail-oriented approach to empirical research. Strong organizational skills with the ability to manage multiple projects concurrently. High attention to detail and commitment to code quality. Effective communication and collaboration skills; ability to work well within a team environment. Self-starter with a proactive approach to solving technical and operational challenges.

Job Title: Fire Suppression / Sprinkler Engineer Location:London (mobile role, primarily North East London) Salary: £45,000£56,000 per annum (dependant on experience) Position Type: Permanent, Full-time Mainstay Recruitment are currently looking for a Fire Suppression / Sprinkler Engineer for our client based in the London area, primarily working in the North East area of the city in a mobile role. This will involve undertaking work spanning installation, maintenance and life safety systems including fire suppression. Role Summary We are seeking an experienced Fire Suppression / Sprinkler Engineer to join our clients team. The ideal candidate will have hands-on experience installing and/or maintaining domestic and commercial sprinkler systems. You should be competent in servicing wet and dry risers, and experienced in remedial works. Where needed, some additional training or courses may be provided, especially for dry/wet riser tasks. In this role you will carry out planned and reactive maintenance and servicing of sprinkler and riser systems, carry out flow and signal tests, service dry and wet risers, and complete remedial repairs across client sites. Key Responsibilities Service and maintain commercial and domestic sprinkler systems (wet, dry and other types) in line with relevant standards. Perform flow-switch servicing (flows & signals), system tests, pressure and flow checks, and functional testing of sprinkler sets. Service dry and wet risers, including inspection, maintenance, and remedial works. Diagnose faults or failures in sprinkler and riser systems; carry out remedial repairs or upgrades as needed. Produce detailed service reports, compliance documentation, and recommendations for remedial or upgrade works. Work with clients, site managers, and other trades to ensure safe and compliant installations and maintenance, including adherence to health & safety protocols and fire safety regulations. Attend emergency call-outs and reactive maintenance as required. Person Specification / Required Skills & Experience Proven experience as a Sprinkler Engineer or similar role within the fire protection / suppression industry (installation and/or maintenance). In-depth knowledge of sprinkler systems (wet, dry, pre-action, deluge etc.) and riser systems; comfort with servicing, testing, maintenance and remedial works. Strong fault-finding, mechanical and hydraulic understanding, with ability to diagnose and rectify system issues. Familiarity with relevant British / EN fire safety standards (e.g. BS EN 12845, BS 9251 or equivalent) and compliance expectations. Full, clean UK driving licence (field-based work across multiple sites likely). Self-motivated, reliable, with strong attention to detail and good communication skills. Comfortable working independently and as part of a team across multiple client sites. Flexibility to respond to reactive maintenance and emergency call-outs when required. Desirable (but not essential): Relevant fire protection / sprinkler system certification or accreditation (e.g. LPCB, recognised fire-protection qualification, or equivalent). Experience interpreting system schematics or blueprints / working with technical drawings. Prior experience working across both commercial and residential buildings. What We Offer Competitive salary (£4556k, depending on experience) Opportunity to work across a variety of interesting commercial and residential projects Ongoing professional development and training including upskilling where required (e.g. riser service courses) A supportive, safety-focused work culture that values quality and compliance To apply for this role please follow the link on this page or for more information please call Mainstay Recruitment and ask for Will. JBRP1_UKTJ

Director of Engineering 🚀 Build something that transforms lives. Central London. This is a rare opportunity to step into a Director of Engineering role within a business whose work genuinely improves health, wellbeing, and quality of life. The impact is direct, visible and powerful . The organisation was founded on a simple but powerful belief: That doing good and building a commercially exceptional business are not mutually exclusive. In practice, it has proven exactly that. The company has grown from early stage startup to UK market leader (No1 in their category) in just a few years. Turnover now exceeds £40m, has more than doubled in the last two years, and the business is only moving faster, following their recent £70m Series C raise. This is a company that combines deep purpose with clear execution, scale, and ambition. The next phase is significant. European expansion is imminent, with the US to follow shortly after. While growth is accelerating, the business remains at a stage where one senior technology leader can materially shape its future, not just how systems are built, but how the mission is delivered at scale. The Role The Director of Engineering will take full ownership of Technology, with particular responsibility for Engineering, Data, and practical AI adoption. You’ll define the technical vision for the next phase of growth, set the strategy for international scale, and influence how the organisation builds, operates, and evolves. A core part of the mandate is helping shape an AI first way of working, identifying where AI can genuinely improve speed, quality, leverage, and decision making, and then making that real through systems, workflows, and tools that create meaningful, measurable impact. This is not a role for someone interested in AI at a distance. The expectation is curiosity, judgement, and pragmatism, understanding where AI adds value, separating signal from hype, and embedding it into how teams work day to day. You’ll inherit a high quality engineering team and have real autonomy to shape the organisation, whether that’s raising standards, refining structures, or growing capability across engineering and data as the business scales internationally. You’ll work closely with the CEO and senior leadership to translate company goals into clear engineering, data, and AI priorities, with a strong bias toward execution over strategy decks. A key part of the mandate is improving engineering effectiveness, delivery predictability, and technical quality, while applying AI not just within engineering, but across systems, workflows, and decision making where it creates real commercial impact. Who They’re Looking For This role suits a senior engineering leader (Head/Director of) who is credible with engineers and commercial stakeholders alike, and who is genuinely excited by the practical potential of AI. You’ll likely bring • Experience leading engineering teams in fast moving environments, creating clarity, pace, and accountability, • Strong technical depth, able to support teams, challenge effectively, and make sound platform and system decisions, • A strong grasp of current AI tools, trends, and patterns, with the judgement to focus on real opportunities over noise, • A track record of driving change through execution, not just strategy or vision decks, • Comfort operating as both a leader and, when needed, a hands on problem solver, • Experience bringing engineering, data, and AI together around the highest value opportunities, • Strong cross functional influence, including work at CEO and senior leadership level, • A commercial, pragmatic mindset with a bias toward impact and outcomes Experience in a scale up, subscription, operational, or DTC style business is a plus, but not essential. Why This Is Different • 🚀 Mission led business with real, meaningful impact on health and wellbeing, • ✅ Series C completed, clearly successful, highly profitable, and scaling fast, • 📈 UK market leader with £40m plus turnover, doubled in two years, • 🧠 Senior leadership team with deep experience scaling and exiting category defining businesses, • 🔑 Genuine autonomy and influence at leadership level, • 🤖 Clear ambition to build as an AI first organisation, focused on practical application over buzzwords, • 🏗️ A growth stage where technology leadership directly shapes what the business becomes Location & Package Location: Central London, hybrid working Package: £130,000 to £170,000 + Highly attractive equity, Private medical insurance, strong pension, flexibility to work from anywhere globally + much more! Sound of interest? Please apply to hear more!

🚨 Threat Detection Engineer (KQL / Microsoft Sentinel) 📍 Hybrid / Remote 💰 £60,000 - £80,000 + Benefits We’re partnering with an innovative biotech company using large-scale genetic data and AI to help predict disease risk and shape the future of precision healthcare. They’re now looking for a Threat Detection Engineer with strong KQL and Microsoft Sentinel expertise to help build and evolve their threat detection capability. This is not a traditional SOC role. Instead of spending your day triaging alerts, you’ll focus on engineering high-quality detections, building scalable analytics, and improving visibility across complex cloud environments. 🔍 What you’ll be doing: • Designing and tuning threat detections in Microsoft Sentinel using KQL, • Building analytic rules and detection logic based on threat intelligence and hunting outputs, • Improving signal quality and reducing false positives, • Developing Sentinel workbooks and reporting, • Working closely with an outsourced SOC to continuously improve detection coverage, • Expanding monitoring across cloud, SaaS, and internal platforms ✅ What they’re looking for: • Strong hands-on KQL (Kusto Query Language) experience, • Experience building detections in Microsoft Sentinel, • Background in Threat Detection Engineering / SIEM Engineering, • Understanding of MITRE ATT&CK and threat-led detection methodologies, • Experience working alongside SOC or MSSP environments, • Familiarity with Microsoft Defender technologies 💡 Nice to have: • Azure / Kubernetes logging exposure, • Detection tuning and false positive reduction experience, • Detection-as-code / CI-CD exposure, • Python, Terraform, or automation scripting knowledge, • Experience within regulated environments 🎯 Why join? • Hybrid / remote flexibility, • High ownership and real technical impact, • Work on meaningful security challenges protecting genomic and healthcare data, • Fast-paced, collaborative engineering environment, • Opportunity to deepen expertise in KQL and Microsoft Sentinel If you enjoy building detections from the ground up and want to work on genuinely impactful technology, I’d love to speak with you.

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