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Job Title: Staff Software Engineer / Forward Deployed Engineer / Senior Full Stack Engineer Location: Bristol (Hybrid, 2–3 days onsite) Salary: £60,000 – £90,000 Type: Permanent Start: Immediate Company: 167 Solutions Ltd (on behalf of a high-growth client) Overview 167 Solutions Ltd are recruiting for a Staff Software Engineer to join a fast-scaling organisation building production-grade AI and full stack solutions. This role is ideal for engineers who enjoy working close to the business, solving real-world problems, and delivering solutions at pace. Key Responsibilities • Design and build scalable full stack applications, • Develop and deploy AI-powered solutions including LLM integrations and RAG systems, • Work closely with stakeholders to translate business needs into technical solutions, • Lead rapid prototyping and production delivery, • Contribute to architecture decisions across multiple projects, • Mentor engineers and support technical best practiceSkills and Experience, • Strong experience with Python and JavaScript or TypeScript, • Experience with React, Next.js or similar frameworks, • Cloud experience, ideally AWS, • Experience building and deploying production systems, • Exposure to Generative AI, LLMs or retrieval-based systems, • Strong stakeholder engagement and communication skills, • Comfortable working in fast-paced, ambiguous environmentsDesirable, • Experience in consulting, forward deployed or product-led environments, • Experience with CI/CD, containerisation and infrastructure as code, • Exposure to data pipelines or multiple database typesWhat’s on Offer, • Salary between £60,000 and £90,000, • Hybrid working model, • Opportunity to work on real-world AI products, • High ownership and influence across projects

Principal AI Architect About Aveni Aveni is an AI FinTech company building the next generation of AI products and platforms for the UK financial services industry. Our mission is to make AI work in one of the world's most regulated, high-stakes environments; helping financial advisers, compliance teams, and wealth managers do their jobs better, faster, and with greater confidence. We're a high growth company at an exciting inflection point: our core products are live and scaling, and we're building out an ambitious 2026 roadmap of agentic AI capabilities that puts us at the frontier of what AI can do in financial services. The role This is one of the most exciting and wide ranging senior technical roles at Aveni. As Principal AI Architect, you'll sit at the intersection of deep AI expertise and enterprise grade systems architecture. You'll be shaping how Aveni's AI platform is designed, governed, and delivered at scale. You'll work as part of the senior AI leadership team reporting to the CTO, and play a central role in one of the most consequential challenges in enterprise AI: making agentic systems that are powerful, safe, and trusted in regulated environments. Equally, you'll be a key figure externally, designing deployment architectures for large UK financial institutions adopting Aveni's products, and helping them understand and trust what our AI can do. If you're deeply technical, genuinely excited about where AI and agents are heading, and want to shape how a fast-scaling FinTech builds its AI backbone, this role is built for you. What you'll be doing • Owning the architectural design of Aveni's AI and agentic platform. Planning how we route and orchestrate AI, how agents execute, how guardrails are enforced, and how we integrate multiple AI providers alongside our own proprietary model., • Defining architectural patterns for our next generation of agentic products. AI-driven guidance agents and an AI assurance framework for regulated financial workflows, ensuring they are safe, explainable, and compliant., • Partnering with senior engineers across our product teams to translate platform capabilities into well designed product architectures, ensuring consistency and reuse across everything we build., • Acting as Aveni's senior AI solution architect for enterprise clients, producing deployment architectures, running technical workshops, and supporting pre-sales processes that help large financial institutions adopt our products with confidence., • Collaborating with our research and innovation team to translate technology evaluations and prototypes into production ready architectural decisions, and working with our platform and infrastructure teams to ensure AI observability and operations are built on solid architectural foundations., • Setting AI architectural standards and governance across the organisation, shaping our technical strategy alongside the CTO, and ensuring our architecture meets the security, compliance, and regulatory requirements of the UK financial services sector., • Staying genuinely ahead of the curve by tracking where AI and agentic systems are heading, bringing a futurist mindset to how Aveni's architecture needs to evolve, and making sure we're building towards what matters next. What we're looking for • Extensive experience in software or AI/ML engineering, with a substantial portion spent in architecture roles, ideally spanning both platform and solution architecture., • Deep, hands-on knowledge of LLM and agentic system design. You understand how to build systems that use AI reliably, safely, and at scale, not just how to call an API., • Experience working with enterprise clients as a solution or technical architect. You're comfortable running architecture workshops, producing deployment designs, and earning the trust of technical stakeholders at large organisations., • Strong practical knowledge of cloud-native, event-driven architectures on AWS, and comfort with Python and/or Node.js in AI engineering contexts., • Familiarity with AI governance standards and the regulatory landscape. You understand what responsible AI design looks like in practice, especially in regulated industries., • A futurist mindset. You follow AI and agentic research closely, have strong opinions about where things are heading, and translate that into concrete architectural thinking rather than vague enthusiasm., • Outstanding communication skills. You're equally comfortable producing rigorous technical documentation for an internal architecture review and explaining deployment architecture to a CTO at a financial institution. Why Aveni • You'll be architecting AI systems at the frontier — agentic platforms, proprietary models, multi provider AI — in one of the most demanding and consequential domains in the world., • You'll work with a genuinely strong team: senior AI, research, and engineering leaders who care deeply about getting AI architecture right, and engineers who are ready to be challenged and elevated., • Aveni is at a defining moment. Our core products are live and growing, and the 2026 roadmap is ambitious. This is a chance to shape an organisation's technical direction before it's set in stone., • We're a mission driven company: the work matters. Better AI in financial services means better outcomes for advisers, compliance teams, and ultimately the people they serve.

Hiring: Senior AI/Data Platform Architect Location: UK We’re supporting a large-scale transformation programme within a highly regulated environment, focused on building and scaling enterprise AI capability across a complex data landscape. This is a senior, strategic hire responsible for shaping AI platform architecture, driving standards, and aligning AI solutions to real business use cases. Key focus areas: • Design and evolve enterprise AI and data platform architecture, • Define governance, data modelling, and information architecture standards, • Lead selection and implementation of AI technologies (AWS stack including Bedrock, SageMaker, Amazon Q), • Partner with senior stakeholders across data, engineering, and business functions, • Guide a small team and work with external delivery partners We’re looking for: • Strong experience in enterprise AI/data platform architecture, • Deep understanding of AI lifecycle, deployment, and platform design, • Experience with cloud and hybrid environments (AWS preferred), • Background in data governance, metadata, and modelling, • Proven stakeholder leadership in complex organisations Nice to have: • Experience within pharma, life sciences, or other regulated industries, • Exposure to LLM / GenAI or multimodal systems, • Manufacturing or industrial AI use cases This is a high-impact role with real ownership across strategy and delivery. If you’re interested, feel free to reach out directly.

About the Company Our client is an established, globally operating SaaS business within the travel and hospitality technology space, supporting tens of thousands of customers worldwide. Following significant recent investment in product and platform evolution, the business is now entering a critical phase focused on embedding AI and machine learning at the core of its commercial and product strategy. This is a transformation role with direct visibility at executive level and real influence over how the business evolves. The Opportunity This is not a traditional data science role. You will operate at the intersection of AI strategy and hands-on execution, working directly with senior leadership to define, build, and deploy AI-driven capabilities across the organisation. The focus is on practical application, speed, and measurable impact — particularly in areas such as pricing optimisation, forecasting and intelligent automation. You will play a central role in shaping how modern AI technologies (LLMs, prompt engineering, ML models) are embedded into both the product and the broader business. Key Responsibilities • Design and implement AI-driven solutions across product, pricing, and internal workflows, • Apply LLMs and prompt engineering techniques to real-world business challenges, • Build and deploy machine learning / deep learning models, particularly within pricing and forecasting contexts, • Work with distributed data sources, APIs and emerging frameworks (including MCP where relevant), • Influence product and engineering teams to adopt AI-first thinking, • Help modernise and evolve legacy systems into scalable, future-ready architectures, • Drive standardisation of data, language and structures across the business, • Deliver solutions that are production-ready and commercially impactful, not theoretical Experience & Technical Background We are looking for a strong blend of hands-on AI capability and applied commercial thinking, including: Core AI / LLM Expertise • ~5+ years working with AI, including prompt engineering and LLM structures, • Strong understanding of how to manipulate and optimise LLM outputs, • Experience integrating AI into production environments via API-based architectures Data & Architecture • Experience consuming and working with data via APIs, • Exposure to MCP (Model Context Protocol) or similar frameworks (desirable, not essential), • Ability to work with complex, distributed and evolving data environments Machine Learning • Strong grounding in machine learning and/or deep learning models, • Understanding of regression models and predictive modelling, • Interest or experience in price forecasting and predictive analytics Who You Are This role is as much about mindset as it is about technical capability. You are: • A builder and operator — you lead by doing, not delegating, • A pace-setter — others follow your example, • A change agent — you challenge the status quo and improve how things are done, • Highly execution-focused — you can explain a solution clearly in minutes, not documents, • Equally comfortable with strategy and hands-on delivery, • Commercially driven — focused on revenue, growth, and real-world impact, • Resilient and adaptable — comfortable working with both modern and legacy systems, • Motivated by solving complex problems and seeing your work deployed at scale You also bring: • A strong appreciation for structured thinking, language, and data consistency, • A desire to bring clarity and standardisation to complex environments, • A collaborative mindset — able to work effectively across engineering and leadership teams Package: • Up to £150,000 base salary, • 15% performance-based bonus, • Fully remote working, • Ability to make a real difference at executive level, • Vast career opportunities, • Many other perks... Why This Role? This is a rare opportunity to step into a high-visibility, high-impact AI role within a scaling SaaS business, where you will directly influence product direction, commercial outcomes and the adoption of AI across the organisation. If you’re looking for a role where you can build, shape, and deliver — not just advise — this is it.

About the company Our Mission Alecto’s mission is to make legal services accessible to everyone on the planet. We believe the quality of service in the legal profession is woefully inadequate. It delivers bad value for money, frustrates the people it exists to serve, and lacks basic accountability. The societal impact of making legal services accessible, understandable, and affordable to every person will be enormous. We aim to be the business that makes this happen. The Founder Alecto was founded in autumn 2025 by Will Rice. Will previously founded Gen H, an FCA-regulated fintech that has become one of the UK’s leading mortgage lenders for first-time buyers. At Gen H, Will raised £50 million in equity from leading venture investors and over £5 billion in asset financing. Prior to Gen H, Will lived in Moscow and ran a hedge fund. He has a starred first-class degree from Cambridge University, where he studied Russian and Arabic. Who Thrives Here We’d love to talk to you if you’re: Relentless: You're never satisfied with good enough. You push yourself to improve constantly. You measure your progress. Uncompromising: You have incredibly high standards. You sweat the details. You take pride in your work even when no one's watching. You speak up when standards slip. Accountable: You own outcomes. You fix problems rather than waiting for someone else to. You want to be measured on your impact. Humble: Low ego. Self-critical. Open to feedback. You change your mind with new information. You give honest feedback directly and kindly. Optimistic: You approach problems as solvable. You find opportunity in crisis. You energise the people around you. What to Expect • Real impact: Improve the way people navigate some of life’s most important moments., • Ownership: You'll have real responsibility from day one., • High standards: We don't compromise on quality., • Fast pace: We move quickly and expect you to keep up., • Quantitative assessment: Your performance will be assessed on transparent criteria., • Direct feedback: You'll get honest feedback regularly. You'll give it too., • Hard problems: Nothing about building this is easy. That's what makes it fun., • Greater financial reward: We pay more because we expect more. How you’ll contribute We're looking for Staff or Senior Product Engineers to join our engineering team. We're a small team of generalists with deep experience in startups and a passion for craft. We move fast, ship often, and hold ourselves to a high bar. From day one, you’ll help shape the product’s direction and ship features to production within your first week. Requirements will be fuzzy - you’ll talk to users, form hypotheses, and iterate quickly to define what to build. You may be a good fit if you • Have worked at early-stage startups and driven product direction, • Think in terms of user problems, not just technical solutions, • Have scaled TypeScript projects, • Enjoy refining and customizing your AI workflow into the early hours, • Building AI agents or LLM-powered systems that go beyond simple prompting. Who thrives here We'd love to talk to you if you're relentless about self-improvement and hold yourself to incredibly high standards, sweating the details others overlook. You see problems as solvable and find opportunity in challenges, energising the people around you in the process. You own outcomes, fixing problems rather than waiting for someone else to, and want to be measured on your impact. You're low ego and self-critical, open to feedback, and give honest feedback directly and kindly. We're building with • A TypeScript monorepo, React, tRPC and Tailwind, • Inngest for background jobs and event-driven workflows, • Deployed on Google Cloud Platform with Postgres What we offer • £100,000 - £150,000 depending on experience, • Meaningful early-stage equity - you'll be an owner, not just an employee, • 5% employer pension contributions, • Comprehensive private medical cover including dental and optical, • 25 days holiday plus bank holidays, • Your choice in AI toolingThis role is based in Shoreditch, London and reports directly to the founder.

Location: Remote (UK or Greece) Salary: Competitive, based on experience Job Type: Full-Time Working for Krotos We revolutionize sound creation by making Hollywood-quality sound accessible to everyone. Our groundbreaking software, featured in blockbuster productions like Avengers and Game of Thrones, empowers creators to design high-quality sound faster and more intuitively. Our mission is to change the way people design and perform sound. As a fast-growing, remote-first company, we are pushing the boundaries of creativity and innovation in content creation. The role Join our R&D team as an ML specialist to research, develop and ship technologies that change how people create sound. We're building systems that understand, manipulate and generate audio in ways that feel genuinely intuitive to professionals and we're nowhere near done. You'll own problems end-to-end, from identifying the right approach to getting it in front of customers, working closely with product to make sure what we build actually matters. Key objectives • Research and develop multimodal AI technologies that improve the way people work with sound, • Build and optimise LLM-powered audio pipelines and extend our Qwen-based vision model for audio production use cases, • Identify opportunities to apply the latest advances in generative AI and multimodal research to the professional audio field Responsibilities • Work within the team and research engineers to solve problems for film makers & sound designers, • Design and maintain backend inference systems that meet the latency and quality demands of professional audio workflows, • Collaborate with product and engineering teams to implement ML research in commercial products, • Work with the product owner to identify where ML creates the most value for customers, • Clearly and effectively communicate ML concepts, model behaviour and tradeoffs to the wider business, • Provide technical guidance on model architecture, fine-tuning strategy and deployment decisions Skills and experience Essential: • A degree in a relevant field or extensive professional experience, • Experience in commercial machine learning research and development, • Strong hands-on experience fine-tuning and adapting large language models (LoRA, QLoRA, PEFT, DPO/RLHF), • Experience working with data, training and evaluating machine learning models, • Experience with multimodal architectures — audio-language, vision-language, or both, • Extensive audio and signal processing knowledge — spectral features, neural codecs, generative audio models, • Experience deploying models to cloud inference (AWS or GCP) with awareness of latency and cost tradeoffs, • MLOps competency — experiment tracking, model versioning, evaluation pipelines, ML CI, • Experience with Python and modern ML frameworks (PyTorch, JAX), • Excellent verbal and written English communication skills, • Excellent analytical and problem-solving skills, • A desire to innovate and push current practice Desirable: • Experience with vision-language models, particularly Qwen-VL or similar, • Experience with Agile software development practices, • Familiarity with VST/AU plugin architectures and real-time audio constraints, • Experience delivering ML technologies shipped in commercial audio software, • Knowledge of sound design and audio post-production workflows, • C++ reading ability, • Previously registered audio machine learning patents Team Core Values Inventive. Driven. Transparent. Our values define who we are and how we work: • Honesty & Transparency: We communicate openly, share the truth even when it’s difficult, and build trust through clarity, • Team Player: We collaborate, support each other, and put collective success above ego, • Problem Solver: We face challenges head-on and find creative, practical solutions., • Open-Minded: We listen to others, consider different perspectives, and recognise the complexity of good decisions, • Politeness & Respect: We treat colleagues and customers with courtesy and professionalism, • Curiosity & Growth: We love learning, experimenting, and continuously improving, • Data-Driven: We let insights and evidence guide our decisions, not guesswork, • High Standards: We take pride in excellence and pay attention to the details that matter, • Strong Work Ethic: We commit, follow through, and work hard to achieve ambitious goals Benefits • Competitive salary and benefits package, • Private health insurance, • Opportunities for professional growth and development, • Flexible, remote working environment, • Access to cutting-edge technology and tools, • Exciting projects in a fast-growing, innovative company Next steps Send your CV and a cover letter to explaining why you are the best candidate for this role, referencing the requirements above and including two to three brief examples of relevant results. Note: All offers are subject to eligibility to work in the UK or Greece and satisfactory references. At Krotos, we value diversity and are committed to fostering an inclusive environment. We encourage applications from candidates of all backgrounds. Reasonable adjustments are available throughout the application and interview process.

🚨 Full Stack Engineer (AI & Cybersecurity Startup) - EU Remote🚨 We're partnering with a well-funded AI startup (stealth for now) that’s building at the intersection of LLMs and cybersecurity, and we’re looking to connect with exceptional Full Stack Engineers across the EU. This is an early engineering hire with huge ownership, high autonomy, and the chance to shape a modern product and architecture from day one. 💸 Salary: €100,000 – €160,000 (£100-140k)+ very strong equity package 🌍 Location: Fully remote across the EU 🛠 Tech Stack: React, TypeScript, Python, AI/LLMs ✈️ Company: Quarterly offsites with a small, high-performing international team Ideal Background – B2B SaaS experience and startup mindset – 6+ years full-stack experience, can build end-to-end features – Proven REST API development with Python – Strong React + TypeScript skills – Bonus: Production level LLM integration experience – Work independently in a small, senior team, shaping architecture and performance If you're interested in joining a cutting-edge AI company and want real impact, autonomy, and technical ownership, feel free to reach out with your CV and notice period. 🚨 Full Stack Engineer (AI & Cybersecurity Startup) - EU Remote🚨

🔎 Platform / Cloud Engineer (Rust) 🚀 Early-Stage B2B SaaS - Connected Business Planning 🇬🇧 100% Remote (UK) 💷 Up to £95,000 + Benefits 🧠 Mid-Senior Level The Opportunity A well-backed, pre-launch SaaS company is building the platform that replaces spreadsheets as the way product-based businesses plan, forecast, and make decisions. Think a live, connected model of an entire business - P&L, inventory, demand, margins, all updating in real time as the business changes. The engineering team is small, senior, and building something genuinely hard: a calculation engine that keeps every number consistent across an entire organisation, with AI on the roadmap. The infrastructure is being built right now, from the ground up, and they need someone to own it. This is a rare chance to shape the cloud and platform foundations of a product at the moment it matters most - before launch, while the architecture decisions still count. What You'll Do • Design and build Kubernetes infrastructure on AWS from early-stage architecture, • Own infrastructure-as-code (Terraform) and CI/CD pipelines, • Work closely with a Rust-heavy backend team, understanding and integrating with the codebase, not just operating it, • Establish observability practices across the platform (metrics, logging, tracing, alerting), • Contribute to decisions around self-hosting LLMs as AI becomes part of the product, • Document systems and share knowledge proactively. You'll be the most specialised engineer on the team and they want the whole team to grow with you What We're Looking For • AWS - deep working experience, • Kubernetes in production (EKS or self-managed), • Terraform or equivalent IaC, • Observability tooling (Prometheus, Grafana, OpenTelemetry or similar), • Rust - You don't need to be an expert, but enough working knowledge to read the codebase and understand what's happening Nice to have: • Early-stage startup experience, • CI/CD pipeline ownership (GitHub Actions, ArgoCD or similar), • Any exposure to LLM infrastructure or AI/ML platform work Experience Level We're open to strong mid-level engineers as well as senior candidates. If you've got solid AWS and Kubernetes foundations, care about building things properly, and want real ownership, we want to hear from you. Depth matters more than years on a CV. Benefits • A priority focus on Work-Life Balance (no expectation of working weekends or long hours - we're not pushing last-minute deadlines and overworking, we're hiring with strategy and purpose), • Salary up to £95k, • 30 days holiday + local national holidays, • Flexible Hours, • Equity, • Remote working, • Home equipment set up

We are seeking a highly skilled and innovative Agentic AI Engineer to join our team and drive the development and deployment of cutting-edge generative AI solutions within the Microsoft ecosystem. This position is well-suited for candidates with a background in software engineering, data science, or machine learning who excel at developing production-grade AI applications utilizing Microsoft platforms such as M365, Copilot Studio, and Azure AI Foundry, and have at least one year of relevant experience. Strong software development background with proficiency in Python. • Experience with API development using FastAPI, Flask, or Django., • Knowledge of Docker and containerized deployments., • Hands-on experience with LLM models such as OpenAI GPTs, Claude, Gemini, LLaMA, or Mistral., • Expertise in applying prompt engineering techniques to improve model performance and reliability., • Experience in implementing robust evaluation frameworks and Responsible AI (RAI) practices., • Familiarity with Microsoft GenAI/Agentic AI ecosystem such as M365, Copilot Studio and Azure AI Foundry., • Strong understanding of software engineering principles and best practices., • Ability to work in agile environments and collaborate with cross-functional teams. You'll stand out if you also meet any of the following: • You are good at prototyping and experimenting with emerging technologies to assess feasibility and impact., • You have knowledge of vector databases, RAG architectures and their integration into enterprise systems, • You have experience with GenAI development frameworks or orchestration tools such as Semantic Kernel, AutoGen, LangGraph, LangChain, or PromptFlow., • You are familiar with core agent communication protocols, including MCP or A2A., • You are a person who loves to stay current with the latest advancements in GenAI, LLMs, and AI frameworks., • You are Microsoft Certified in Azure AI Engineer Associate or Azure AI Fundamentals. 🛠️ Qualifications • Bachelor's in computer science, data science, or a related field About Avanade: Avanade is the leading provider of innovative digital, cloud, and advisory services, industry solutions, and design-led experiences across the Microsoft ecosystem. The company was founded 25 years ago as a joint venture between Accenture and Microsoft. Back then, digital transformation, automation, and AI weren’t mainstream topics—Microsoft was primarily known for Office 365. But Avanade evolved with the times and is now the number one transformation leader within the Microsoft ecosystem. We have a team of 61,000 professionals in 26 countries. We’re a truly global company with a strong local presence— what I like to call “GLOCAL”: making global impacts on a local level.

Aveni is redefining how financial institutions use AI. We build real, production-ready agentic systems that reshape how banks, advisers and financial services firms operate, replacing fragmented processes with intelligent, end-to-end workflows. We have been recognised as Fintech of the Year for two consecutive years and awarded Best Specialist Technology Service at the Professional Adviser Awards 2025. Backed by leading investors including Puma Private Equity, and commercially supported by Lloyds Banking Group and Nationwide Building Society, we previously completed one of Scotland’s largest Series A rounds. Since then, we’ve continued to grow rapidly as adoption of AI in financial services accelerates, and we’re now scaling our engineering organisation to meet that demand. Our engineering team includes experienced software engineers and PhD-level AI specialists, with strong ties to the University of Edinburgh, giving you access to exceptional expertise and opportunities for continuous learning as part of the day-to-day work. The role We're looking for a Lead Software Engineer to be the most senior technical voice in one of our product squads, working as a technical co-leader alongside the Engineering Manager. You'll own the squad's technical direction and engineering quality end to end, from architectural decision making and hands-on delivery, to mentoring engineers and shaping how we build across the organisation. This role demands genuine depth in AI. You'll be leading LLM powered feature development and setting the standard for how AI tooling amplifies the whole engineering process, combined with the full-stack and cloud-native chops to back it up. What you'll be doing • Setting technical direction for your squad. Owning architectural decisions, managing technical risk, and representing the engineering perspective at our Architecture Review Board, • Leading AI-powered product development: designing LLM workflows, RAG pipelines, and agentic features that run on top of our AI platform in production, at scale, • Driving adoption of AI coding tools across the full SDLC, from planning and design through code review, testing, deployment and setting the bar for how the squad works, • Delivering production grade code across the full stack: Node.js or Python backends, event-driven AWS architecture, and React where the squad needs it, • Mentoring and growing engineers across AI and full-stack domains, through code reviews, design documents, and day-to-day pairing, • Collaborating with platform teams to consume shared capabilities and contribute reusable patterns back, not building one-off solutions when a platform component will do, • Ensuring everything we ship is compliant-by-design, auditable, and built to the standards expected of software in FCA regulated financial services What we're looking for • A seasoned engineer with 10+ years of experience, including meaningful time building and operating AI/ML systems in production, • Real technical leadership. You've set direction, made architectural calls, mentored others, and influenced how a team builds, not just what it ships, • Strong hands-on AI/LLM skills: prompt engineering, RAG, model evaluation and agent frameworks. You know how these work in production, not just in demos, • Deep expertise in Node.js or Python, with solid experience in the other; comfortable switching contexts depending on what the problem needs, • Cloud-native development on AWS. Serverless, event-driven, Lambda, with an instinct for well designed, maintainable systems, • A genuine curiosity about where AI is going and the judgment to separate signal from noise when recommending what to adopt, • An instinct for building responsibly. You care about auditability, compliance, and the downstream impact of what you ship Why Aveni • You'll work at the frontier of applied AI in a domain where it actually matters, helping financial services firms serve their clients better and meet growing regulatory obligations, • AI-native engineering culture: we use AI tools seriously, across the full development process, and we're always looking to push further, • High impact from day one. As a Staff Engineer, your technical decisions will shape the product, the platform, and the engineers around you, • A talented, collaborative team building something genuinely novel, with the backing, the architecture, and the proprietary models to do it properly Benefits at Aveni What you’ll love • Remote-first working across the UK., • Work abroad policy for when you want a change of scenery., • Co-working spaces available if you want an office buzz sometimes., • 34 days holiday (including flexible bank holidays) and your birthday off., • Company-wide off-sites (yes, karaoke may happen)., • Optional Personal Development Plan., • Flexible benefits platform: you choose the benefits that matter most to you (not the company)., • Protection essentials, because we know they matter - Life Insurance, Income protection, critical illness cover, Pension (up to 5% matched employer contribution and optional increased contributions)., • Private health- and dental care for your peace of mind., • Potential share options, have a stake in what you’re building., • Enhanced family leave. Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We've built our business to ensure an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you're passionate about technology and its ability to drive positive change for the future of financial services, we'd love to hear from you. Even if you don’t meet 100% of requirements, we’d like to hear from you anyway if you believe you’d fit in. Apply now to join us on our mission to transform the financial services industry through AI.

Location: Remote UK (working from home) Salary: £60,000 - £65,000 per annum, DOE + benefits Please note that only applicants who submit a cover letter with their application will be considered for this role About Artifax Artifax Software builds industry-leading venue and event management tools for the arts and culture sector. Our platform is used by performing arts centres, museums, festivals, universities, and cultural organisations around the world. We’re a remote-first, values-led team backed by the stability of Volaris Group, with a culture that’s collaborative, supportive, and always evolving through feedback. About the role We’re looking for a Senior Software Engineer who can take ownership of complex, production systems while applying AI in a disciplined, engineering-led way. You will work across two equally important areas: • Designing and delivering AI-enabled features and workflows that create real product and commercial value, • Incrementally modernising a complex PHP-based enterprise platform to keep it robust, scalable, and future-ready This is a senior, hands-on role with real technical ownership. Success requires strong engineering judgement, the ability to operate in complex systems, and the confidence to own architectural decisions end-to-end. Working closely with the Product Owner and Head of Engineering, you will make pragmatic architectural decisions that balance innovation, delivery speed, security, and long-term maintainability. AI is central to how we build. We seek engineers who create robust software features by embracing AI-first engineering practices and who are capable of integrating AI responsibly and effectively within customer-facing features and internal workflows. What you’ll do • Design and deliver clean, secure, maintainable, and performant end-to-end solutions using AI-accelerated coding across frontend, backend, and infrastructure, • Support the uplift of architectural components, backend systems, and enterprise-grade functionality, • Use AI tools for code generation, code review assistance, test automation, design translation, and rapid prototyping, • Contribute to evolving AI-enabled development processes and patterns across the business, • Lead development of new product add-ons with clear commercial value, • Assist in improving system performance, reliability, and scalability, • Design AI/LLM-powered workflows with strong guardrails for security and reliability, • Build REST APIs and modular services, including scalable inference-backed services where appropriate, • Package and deploy applications using Docker/Kubernetes, • Support AWS-based deployments with a focus on reliability and scalability, • Collaborate on CI/CD pipelines and automation, • Work closely with product, leadership, and customer-facing teams, • Contribute to shared patterns, documentation, and continuous improvement What you’ll bring • 7+ years building and maintaining production software on cloud-native platforms, • Strong backend engineering experience with server-side frameworks like Laravel/CodeIgniter (PHP 8.2+), alongside experience in related technologies such as TypeScript, React, Node.js, JavaScript, • Deep understanding of relational databases, • Experience working with complex business logic and legacy systems, • Hands-on experience using AI tools (GitHub Copilot, Cursor, Claude) for Software Development and agentic development workflows., • Experience integrating AI or LLM-based capabilities into applications or workflows, • Solid grounding in software architecture, system design, containerisation and cloud platforms (AWS), • Confidence working with legacy systems while driving pragmatic improvement, • Clear communication skills and a strong sense of technical ownership Nice to have • Experience with microservices, security best practices, or SaaS products, • Familiarity with LLMs, RAG pipelines, or vector search, • Background in creative technology or the arts & culture sector, • Familiarity with agile development methodologies, Git-based workflows and iterative release cycles Why join Artifax? • Shape products used by cultural organisations worldwide, • Work on meaningful, technically challenging problems with real ownership, • Be part of a collaborative, remote-first engineering culture, • Explore responsible, real-world applications of AI, • Enjoy stability, autonomy, and opportunities to influence long-term technical direction Application Requirement Please include a short cover letter (max 300–400 words) including details of: • A production system you’ve owned end-to-end, • Your experience working on the modernisation of legacy systems or complex business logic., • An example of how you’ve used AI tools in the Software Development lifecycle or AI/LLM in a real product/workflows, • Why you feel this role is a good fit for your experience Applications without an accompanying cover letter will not be considered. Important • This is a UK-based role, • Applicants must be resident in the UK and have the right to work in this country, • Artifax is not able to offer visa sponsorship If you’re excited by thoughtful engineering, practical AI, and building products that support arts and culture, we’d love to hear from you.

About Inworld Inworld is a product-oriented research lab of top AI researchers and engineers, developing best-in-class realtime multimodal models and the only realtime orchestration platform optimized for thousands of queries per second. We’ve raised more than $125M from Lightspeed, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta and Stanford, among others. Our technology has powered experiences from companies such as NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella and Bible Chat. We’ve also been recognized by CB Insights as one of the 100 most promising AI companies globally and have been named one of LinkedIn's Top 10 Startups in the USA. Who We're Looking For A year ago, reliably working agentic systems and sub-second multimodal inference at scale barely existed. Nobody has a decade of experience here. So we're not screening for a resume template — we're looking for strong people from varied backgrounds who learn fast, thrive in ambiguity, and can show us what they've built, broken, and understood. Experience We Find Useful You don't need all of this. But you need enough to make a case. • Inference Optimization. Deep understanding of modern serving frameworks and techniques like vLLM or TRT-LLM., • Model Acceleration. Hands-on experience with quantization, distillation, caching strategies , continuous batching, paged attention, and speculative decoding., • High-Performance Systems. Proficiency in C++, CUDA, Rust, or highly optimized Python. You know how to profile code and squeeze every ounce of performance out of NVIDIA GPUs., • Distributed Systems & Scaling. Experience with Kubernetes, Ray, custom load balancing, multi-GPU/multi-node inference, and reliably handling thousands of concurrent connections., • Public work. Non-trivial systems programming projects, open-source contributions to major inference engines, or deep-dive technical write-ups., • Full-cycle ownership. You can take a model from the research team, containerize it, optimize its serving, and ensure it runs reliably in production., • Background. PhD in CS, Physics, Math, or equivalent practical experience building backend or ML systems. Who Thrives Here • You don’t need a roadmap to start walking; you’re comfortable picking a direction and building the map as you go., • You believe engineering isn't finished until it’s shipped and stable. You have a bias for impact over purely theoretical optimizations., • You don't just ship code; you obsess over the why. You’re the first to question an architecture if you think there’s a better way to solve the core latency or throughput problem., • You aren't satisfied with "the PM said so." You thrive on deep context and want to understand the fundamental logic behind every decision we make. What Working Here Is Like We hand you unclear problems and expect you to make them clear. We value engineers who say "I don't know yet" and then design the benchmark or prototype that finds out. We treat performance, latency, and reliability as first-class product features, not a box to check before launch. Impact comes before everything else, though we support sharing work and open-source contributions that move the field forward. Your work should be visible. Flat structure, fast iterations, minimal process theater. The base salary range for this full-time position is £140,000 – £200,000. In addition to base pay, total compensation includes equity and benefits. Within the range, individual pay is determined by work location, level, and additional factors, including competencies, experience, and business needs. The base pay range is subject to change and may be modified in the future. Candidates must already have the legal right to work in the United Kingdom, as visa sponsorship is not available for this role. For candidates interested in relocating to the San Francisco Bay Area in the future, full U.S. visa and relocation support may be available, subject to business needs and applicable legal and work authorization requirements.

About Us Leading global fintech platform serving millions of users, top-ranked by transaction volume. We're pioneering AI-native systems where LLMs, intelligent agents, and automation drive core capabilities—not just features. The Role Seeking engineers to build vertical AI agents for financial technology domains. Train, fine-tune, and deploy LLMs (using SFT/RLHF) as production-ready systems, including: • Fintech AI agents & copilots, • Domain Q&A and knowledge tools, • Specialized financial insight engines Collaborate with product/engineering teams to ship AI at scale. What You’ll Work On • LLM training/fine-tuning (SFT, RLHF, distillation) for financial use cases, • RAG systems & knowledge integration, • Model optimization for real-time production, • AI agent development & efficiency pipelines Who You Are • Hands-on LLM/deep learning experience (PyTorch/Transformers), • Built domain-specific AI (fintech/finance preferred), • Strong Python & engineering fundamentals, • Mandarin & English fluency required Nice to Have • Fintech/trading/quant background, • Scaled AI deployments, • Agentic AI systems Why Join • Shape AI for a global top platform, • Real-world impact at massive scale, • Fully remote (GMT+8 hours focus)

Aveni is redefining how financial institutions use AI. We build real, production-ready agentic systems that reshape how banks, advisers and financial services firms operate, replacing fragmented processes with intelligent, end-to-end workflows. We have been recognised as Fintech of the Year for two consecutive years and awarded Best Specialist Technology Service at the Professional Adviser Awards 2025. Backed by leading investors including Puma Private Equity, and commercially supported by Lloyds Banking Group and Nationwide Building Society, we previously completed one of Scotland’s largest Series A rounds. Since then, we’ve continued to grow rapidly as adoption of AI in financial services accelerates, and we’re now scaling our team to meet that demand. The Role We’re looking for a Senior AI Engineer (FinLLM / NLP) to help drive the next generation of AI systems powering financial services. This role focuses on developing, fine-tuning and deploying advanced language models that operate at production scale within highly regulated environments. You’ll work alongside our NLP team, software engineers, and product leaders to build cutting-edge solutions that transform how financial organisations use AI. This is a hands-on role where you’ll shape both the technical direction and practical deployment of large language models and NLP systems within our platform. What You’ll Do • Build and optimise LLM-powered systems, • Architect, fine-tune and optimise machine learning models including LLMs and classical ML approaches, • Experiment with modern architectures such as Transformers and Mixture-of-Experts, • Apply efficient training and fine-tuning techniques including LoRA and parameter-efficient methods, • Develop robust evaluation approaches to measure model quality and reliability, • Develop scalable AI systems, • Build and deploy production-grade NLP pipelines and services, • Ensure models operate efficiently with low latency and high availability, • Integrate models into scalable cloud infrastructure and real-world applications, • Data strategy and model training, • Lead the acquisition, processing and governance of large structured and unstructured datasets, • Apply exploratory data analysis and validation techniques to improve training pipelines, • Ensure data privacy and governance standards suitable for financial services, • Engineering best practices, • Contribute to DevOps and MLOps pipelines, • Implement robust version control, testing and CI/CD workflows, • Support reliable deployment and monitoring of models in production environments, • Technical leadership, • Mentor engineers and contribute to the technical growth of the team, • Work closely with product, engineering and data teams to deliver AI solutions, • Stay at the forefront of AI and NLP research, applying new approaches where they add value What We’re Looking For Essential experience • Significant experience building, training and deploying machine learning models, • Strong Python skills with experience using NumPy, Pandas, SciPy and modern ML frameworks such as PyTorch or TensorFlow, • Experience working with large-scale unstructured data, • Experience building and deploying production-ready NLP systems, • Familiarity with API integrations and data acquisition pipelines, • Experience implementing software engineering best practices including Git and agile development, • Experience working with cloud environments (preferably AWS) Nice to have • Experience with containerisation technologies such as Docker or Kubernetes, • Experience with frameworks such as vLLM or NeMo, • Knowledge of financial services NLP applications, • Experience designing evaluation methodologies for LLM outputs, • Experience building intelligent agents or multi-agent systems, • Skills and mindset, • Strong analytical problem-solving skills, • Ability to design scalable, production-ready AI systems, • Clear communication with both technical and non-technical stakeholders, • Passion for AI innovation and continuous learning, • Leadership and mentoring capability Qualifications • MSc or equivalent experience in a relevant field such as AI, Machine Learning, Computer Science, or Data Science Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We’ve built our business to ensure an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you’re passionate about technology and its ability to drive positive change for the future of financial services, we’d love to hear from you. Even if you don’t meet 100% of requirements, we’d like to hear from you anyway if you believe you’d fit in. Apply now to join us on our mission to transform the financial services industry through AI. Benefits at Aveni What you’ll love: • Remote-first working across the UK, • Work abroad policy, • Co-working spaces available, • 34 days holiday (including flexible bank holidays) and your birthday off, • Company-wide off-sites, • Optional Personal Development Plan, • Flexible benefits platform, • Protection essentials including Life Insurance, Income Protection, Critical Illness cover, and Pension (up to 5% matched employer contribution with optional increased contributions), • Private health and dental care, • Potential share options, • Enhanced family leave

TalentCo are delighted to be partnering with an established PE-backed tech company looking to hire a high-calibre Lead Software Engineer into their UK business, as they build a new conversational AI platform from the ground up. This hire can be based predominantly from home anywhere in the UK, with occasional trips to meet the team, but with plenty of flexibility to suit individual circumstances. The client are developing a low-code, multi-tenant platform that enables large enterprises to design, build and deploy AI agents capable of handling both single-step LLM tasks and complex multi-step agentic workflows. As Lead Software Engineer you will: • Set the software engineering standards for this newly formed team of 4., • Operate roughly as follows: 70% hands-on software development, 30% tech lead responsibilities., • Develop scalable backend services for multi-tenant execution of AI agents., • Deploy LLM-based applications and agentic workflows at scale. We want to hear from you if: • You have 5+ years of hands-on experience building production applications, with at least 2 years as a Lead Software Engineer, Technical Lead or Software Engineering Lead, • You're an expert when it comes to backend development using Python, building systems at scale, • Strong knowledge of cloud infrastructure (AWS, GCP, or Azure) and scalable architectures., • Bonus points if you have high-volume, low-latency message processing and Kubernetes experience, • You do NOT need previous AI experience, but you definitely need a keen desire to build AI products. What do they offer? • Salary £120k-£150k, • Comprehensive benefits package, • Remote-first setup anywhere in the UK, with occasional travel to the company HQ just north of London

Aveni is redefining how financial institutions use AI. We build real, production-ready agentic systems that reshape how banks, advisers and financial services firms operate, replacing fragmented processes with intelligent, end-to-end workflows. We have been recognised as Fintech of the Year for two consecutive years and awarded Best Specialist Technology Service at the Professional Adviser Awards 2025. Backed by leading investors including Puma Private Equity, and commercially supported by Lloyds Banking Group and Nationwide Building Society, we previously completed one of Scotland’s largest Series A rounds. Since then, we’ve continued to grow rapidly as adoption of AI in financial services accelerates, and we’re now scaling our engineering organisation to meet that demand. Our engineering team includes experienced software engineers and PhD-level AI specialists, with strong ties to the University of Edinburgh, giving you access to exceptional expertise and opportunities for continuous learning as part of the day-to-day work. The Role As a Senior Software Engineer at Aveni, you’ll be responsible for building and scaling the products that sit on top of FinLLM (the UK's first LLM for the Financial Services industry) and other LLMs, enabling financial institutions to adopt AI safely and effectively. You won’t be expected to build or train the LLMs themselves, instead you’ll be engineering the platforms, services, user interfaces and integrations that bring those models to life in the hands of advisers, analysts and banking teams. Your work will focus on: • Designing and implementing robust event-driven microservices and APIs, • Building scalable, cloud-native systems on AWS, • Integrating LLM-powered capabilities into real-world workflows, • Collaborating closely with product and AI specialists to turn ideas into reliable, customer-ready features What you’ll be working with You should be comfortable with most of our core technologies: • Python and TypeScript, • AWS (e.g., Lambda, ECS/Fargate, API Gateway, SQS/SNS, DynamoDB, RDS), • Microservices and event-driven architectures We also actively embrace AI coding assistants (such as Claude Code) to speed up development, improve code quality and reduce repetitive work — and we encourage engineers to use these tools effectively. What we’re looking for: • Experience building production systems using Python, • Solid understanding of cloud-native engineering on AWS, • Experience with microservices, messaging patterns and distributed systems, • A commitment to clean code, testing, observability and operational excellence, • A proactive and motivated mindset — someone who wants to build, ship and iterate quickly, • Interest in AI-powered products and a drive to learn Benefits at Aveni What you’ll love • Remote-first working across the UK., • Work abroad policy for when you want a change of scenery., • Co-working spaces available if you want an office buzz sometimes., • 34 days holiday (including flexible bank holidays) and your birthday off., • Company-wide off-sites (yes, karaoke may happen)., • Optional Personal Development Plan., • Flexible benefits platform: you choose the benefits that matter most to you (not the company)., • Protection essentials, because we know they matter - Life Insurance, Income protection, critical illness cover, Pension (up to 5% matched employer contribution and optional increased contributions)., • Private health- and dental care for your peace of mind., • Potential share options, have a stake in what you’re building., • Enhanced family leave. Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We've built our business to ensure an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you're passionate about technology and its ability to drive positive change for the future of financial services, we'd love to hear from you. Even if you don’t meet 100% of requirements, we’d like to hear from you anyway if you believe you’d fit in. Apply now to join us on our mission to transform the financial services industry through AI.

Staff Software Engineer – AI/ML (Agentic AI) Engineering | UK Remote / London (hybrid) Overview My client is a fast-growing, product-led technology company investing heavily in AI and next-generation machine learning solutions. They are seeking a Staff Software Engineer with experience in agent-based AI systems to help design and deliver advanced AI-driven products. The Role This is a hands-on technical leadership role focused on building scalable AI/ML systems, with a particular emphasis on agentic AI and modern machine learning approaches. You will play a key role in shaping technical direction, establishing best practices, and delivering high-quality systems from concept through to production. The role also involves mentoring engineers and contributing to the growth of a high-performing team. Key Responsibilities Project Ownership • Lead the design and delivery of AI/ML initiatives across the full lifecycle, • Build and deploy models, data pipelines, and production systems Cross-Functional Collaboration • Work closely with Engineering, Product, and DevOps teams, • Support integration of AI capabilities into wider platforms Technical Leadership • Provide guidance on AI/ML frameworks, tools, and best practices, • Contribute to the development of agent-based AI systems and workflows Mentorship & Communication • Mentor engineers and support technical development, • Promote strong collaboration across teams Problem Solving & Optimisation • Identify and resolve challenges in AI/ML systems, • Improve performance, scalability, and reliability Governance & Quality • Ensure high standards around model performance, data quality, and compliance Documentation & Knowledge Sharing • Maintain clear documentation and contribute to internal best practices Skills & Experience • 7+ years’ experience in AI/ML engineering, including production systems, • 3+ years in a technical leadership role, • Strong programming skills (e.g. Python or similar), • Experience with machine learning, data pipelines, and scalable systems, • Knowledge of modern AI approaches, including large language models and agent-based systems, • Experience working with cloud platforms (AWS, GCP, or Azure), • Understanding of distributed systems and scalable architectures, • Experience with CI/CD, microservices, and MLOps practices, • Ability to mentor and support engineers, • Strong collaboration and communication skills, • Experience working in Agile environments, • Degree in a relevant technical field (or equivalent experience) Tech Environment (indicative) • Backend languages (e.g. Python or similar), • Cloud platforms (AWS / GCP / Azure), • Containerisation and orchestration tools, • Infrastructure as code, • Observability and ML tooling, • Modern AI/LLM frameworks, • Relational and non-relational databases, • Version control and CI/CD tooling Benefits • Competitive salary, • 25 days’ annual leave + bank holidays, • Sick pay package, • Flexible / remote working, • Enhanced parental leave, • Pension scheme, • Career development opportunities Additional Information This role is not eligible for visa sponsorship.

Principal AI Engineer AI, LLM, Python, CI/CD, SaaS/PaaS, Prompt Engineering, Agentic Workflows, Platform Systems, Remote (UK)Excellent Salary + BenefitsThis is a fantastic Principal AI Engineer opportunity to work with a leading technology services organisation, to build and scale intelligent AI that delivers adaptive and impactful personalised experiences.The Principal AI Engineer is a remote wo...

Lead AI Engineer Location: Flexible, Europe preferred Type: Full time Overview I am supporting a new AI venture backed by an established global technology platform in digital publishing and print infrastructure. The team is building an AI powered design editor that allows users to generate fully customised, print ready assets from natural language prompts. Unlike template based tools, this system creates original layouts, graphics, and structured outputs end to end. The Role You will operate at the intersection of backend engineering and applied AI, designing and building scalable systems that support production grade AI workflows. This is a hands on role with architectural ownership, focused on taking AI systems from concept through to reliable, high traffic deployment. Key Responsibilities • Design and build backend systems for AI driven content generation, • Develop and scale LLM pipelines, including orchestration and evaluation, • Build agent based workflows for structured content generation, • Architect APIs using Python, FastAPI, and Pydantic, • Ensure systems are robust, scalable, and optimised for production inference, • Collaborate with product and design teams to translate user prompts into structured outputs, • Own performance, reliability, and cost optimisation across AI services Requirements • Strong backend engineering experience with Python, • Proven experience building and deploying LLM based systems in production, • Experience with FastAPI, Pydantic, or similar frameworks, • Hands on experience with RAG, prompt engineering, or agent based systems, • Understanding of system design for high traffic, low latency environments, • Experience working across cloud platforms such as AWS or GCP, • Ability to operate as a senior individual contributor with ownership of architecture and delivery Nice to Have • Experience with generative design, graphics, or structured document generation, • Exposure to multimodal models or layout aware systems, • Background in building tools for creative or publishing workflows

The Role’s Purpose and Value: The Vice President / Senior Vice President of Software Engineering is responsible for defining, leading, and owning the engineering organisation that delivers Talogy’s product portfolio. This strategic role requires a leader who can build strong relationships across the organisation, collaborate effectively with senior stakeholders, and translate business priorities into a clear, scalable engineering strategy. The VP/SVP will shape Talogy’s engineering direction, partnering closely with the CTPO and business unit leads to identify, assess, and prioritise product initiatives. They will support sales and account management teams in client acquisition, retention, and growth by ensuring our technology capabilities meet evolving market needs. A key part of the role is leading and empowering the engineering organisation—ensuring teams are equipped, aligned, and enabled to deliver against the product roadmap. This role also plays a critical part in advancing Talogy’s use of AI, both in enhancing engineering productivity and in exploring how AI-driven capabilities can be responsibly incorporated into our products. This is a full-time, permanent position based in the UK or US, with flexible hours around core weekday availability. The role reports to Talogy’s Chief Technology & Product Officer (CTPO) and can be performed remotely, with occasional international travel for meetings, events, and workshops. Core Skills and Responsibilities: Technical Authority & Architecture Ownership: • Serve as the definitive technical decision-maker for Talogy’s engineering organisation — owning architectural direction, resolving technical trade-offs, and setting the standards by which all engineering work is evaluated., • Lead the Architectural Review Board with authority: evaluate and challenge architectural proposals, enforce consistency and scalability standards across all products, and ensure technical debt is actively managed and quantified., • Define and govern Talogy’s cloud infrastructure strategy (AWS, Azure, or GCP), including multi-tenant architecture, data isolation, platform reliability, and disaster recovery posture., • Own Talogy’s security engineering posture — including application security, secrets management, vulnerability management programmes, and compliance with SOC 2, GDPR, and relevant data protection frameworks., • Drive platform and integration architecture decisions across Talogy’s fragmented, acquisition-heavy tooling estate, bringing coherence to a complex multi-system environment., • Evaluate build vs. buy decisions with rigour — producing structured analysis on make-or-buy trade-offs, vendor selection, and technical partner assessments. AI Strategy & Enablement: • Define and lead Talogy’s AI engineering strategy — spanning both the use of AI to accelerate engineering productivity and the responsible integration of AI capabilities into Talogy’s products and assessments., • Establish a practical AI adoption roadmap: evaluate LLM/ML tooling, agentic frameworks, and AI-assisted development platforms; pilot responsibly; scale what works., • Ensure AI product features meet the ethical, legal, and regulatory expectations of an IO psychology and talent management context — including fairness, bias evaluation, explainability, and data governance., • Keep Talogy’s engineering teams ahead of the curve on applied AI — from code generation and test automation to AI-native product features and assessment intelligence. Team Leadership & Talent Development: • Lead, develop, and scale a geographically distributed engineering organisation spanning the US, UK, India, and other locations — setting a high bar for technical craft, delivery discipline, and team culture., • Recruit, retain, and grow senior engineering talent; lead a hiring bar that reflects the technical ambition of the organisation and establish career ladders that differentiate individual contributors from engineering managers., • Own engineering performance management end-to-end — establishing clear engineering metrics (deployment frequency, MTTR, lead time, reliability SLAs) and using them to drive accountability and improvement., • Create a culture of engineering excellence: code review rigour, documentation standards, testing philosophy, incident response maturity, and continuous learning., • Serve as the senior escalation point for major technical incidents — leading post-mortems, driving systemic remediation, and communicating clearly to the CTPO and wider leadership. Cross-Functional Collaboration: • Work in close partnership with the CTPO to operationalise the technology roadmap — owning engineering execution against strategic priorities and ensuring delivery keeps pace with product ambition., • Build trusted relationships with product, R&D, sales, and customer success leaders — ensuring technology is a competitive enabler and that engineering priorities are well understood across the business., • Communicate effectively with senior leaders to align on strategic priorities, resource needs, and long-term technology investments., • Build strong relationships with key stakeholders to deepen understanding of Talogy’s business, product visions, and customer needs. Execution & Delivery Excellence: • Oversee and continuously improve Talogy’s software delivery engine — including CI/CD pipelines, release management, deployment practices, observability, and incident management., • Champion Agile and DevSecOps practices across teams, ensuring engineering processes are lean, high-trust, and calibrated to the pace of the business., • Drive measurable improvement across DORA metrics and reliability targets; hold teams accountable to uptime SLAs and clear SLO definitions for all customer-facing products., • Identify and systematically eliminate engineering bottlenecks — from dependency bloat and test coverage gaps to deployment friction and inefficient on-call rotations., • Ensure development and deployment practices follow established standards and support reliable, secure, and scalable product delivery. Strategic Planning & Governance: • Co-develop the annual engineering budget and multi-year technology investment plan with the CTPO — translating engineering needs into financial terms that resonate with senior leadership., • Contribute to M&A technical due diligence: evaluate engineering organisations, technical debt, and platform compatibility as Talogy continues to grow through acquisition., • Create alignment between Talogy’s product vision, engineering strategy, and R&D initiatives., • Share ideas and foster knowledge exchange across development teams, creating opportunities for collaboration and innovation. Technical Expertise — Non-Negotiable: • 15+ years of software engineering experience, with at least 5 years in senior engineering leadership (Director, VP, or equivalent) at a B2B SaaS or enterprise software company., • Deep, hands-on background in backend systems, distributed architectures, and cloud-native platforms — able to credibly review design documents, challenge engineers on technical choices, and identify architectural risk., • Demonstrated proficiency in modern programming languages and frameworks (e.g., Python, Java, C#, Node.js, Go) — not expected to write production code daily, but must be technically fluent enough to evaluate quality, complexity, and risk., • Strong command of cloud infrastructure (AWS, Azure, or GCP) — including compute, storage, networking, identity, observability tooling, and cost management., • Proven experience owning CI/CD, DevSecOps, and modern delivery practices at scale — including IaC, containerisation (Docker/Kubernetes), blue-green or canary deployments, and automated quality gates., • Hands-on experience with data architecture, APIs, and integration patterns — particularly relevant given Talogy’s multi-platform, acquisition-heavy environment., • Direct experience with security engineering: application security frameworks (OWASP), secrets management, penetration testing programmes, and compliance regimes (SOC 2, GDPR, ISO 27001). Leadership & Organisational Experience: • Significant experience in a senior engineering leadership role within an enterprise-scale cloud environment., • Demonstrated success building and scaling engineering organisations across multiple geographies and time zones, including managing offshore development teams and third-party engineering partners., • Experience leading engineering through significant organisational complexity — M&A integration, platform consolidation, or rapid headcount scaling., • Track record of attracting and retaining exceptional senior engineering talent; strong communication skills, with the ability to translate complex technical concepts for senior leadership and cross-functional stakeholders. AI & Emerging Technology Experience: • Practical, hands-on experience with AI/ML integration in production software products — including LLM APIs, vector databases, retrieval-augmented generation, or ML model pipelines., • Familiarity with integrating AI or machine-learning capabilities into software products, including an understanding of responsible AI principles, data considerations, and ethical implications., • Ability to cut through AI hype: evaluate vendor claims critically, identify where AI creates genuine value, and make pragmatic adoption decisions. Operational Excellence & Strategic Execution: • Demonstrated ability to use metrics and data to drive decision-making, operational improvements, and measurable outcomes., • Experience creating and executing comprehensive action plans that support organisational growth, technical maturity, and delivery excellence., • Background in B2B SaaS companies serving enterprise clients, particularly those with complex compliance, data residency, or security requirements., • Prior involvement in technical due diligence or post-merger engineering integration in a PE-backed, acquisitive environment is a strong differentiator.

Staff Machine Learning Engineer – | 3 Roles | UK Remote I'm working with a fast-growing, PE-backed SaaS business that has just launched a world-leading AI product — and they're expanding their AI/ML engineering team with three Staff-level hires. All three roles sit on the same product, the same stack, and the same mission. The difference is your specialism. ────────────────────────── 𝟭. Staff SE – Agentic AI Leading the design of multi-agent systems and LLM orchestration patterns. If you've built and shipped complex agentic workflows end-to-end, this one's for you. ▸ LangGraph · Pydantic AI · Agent SDK · LLMOps 𝟮. Staff SE – Information Extraction Owning ML models and pipelines that extract structured knowledge from complex, unstructured documents at scale. ▸ NLP · Document AI · Data Pipelines · Evals 𝟯. Staff SE – MLOps / DevOps for AI Shaping the infrastructure behind model serving, training pipelines, LLMOps, and AgentOps across the full AI stack. ▸ MLFlow · Databricks · Datadog · Terraform ────────────────────────── What all three roles require: • 7+ years in AI/ML engineering, shipping models in production, • 3+ years in a Staff-level or senior technical leadership role, • Hands-on AWS (Bedrock, SageMaker) and/or GCP Vertex AI, • Strong Python; Java or Rust a bonus, • Experience with LLMs, evaluation frameworks, and agentic AI patterns, • Docker, K8s, Terraform, CI/CD, • A collaborative leadership style — mentoring engineers, shaping best practices ────────────────────────── Core stack: Python · Rust · Java · Amazon Bedrock · SageMaker · Vertex AI · LangGraph · Pydantic AI · LangFuse · MLFlow · Databricks · Datadog · Claude Code · Docker · K8s · Terraform · Vector DBs · Graph DBs ────────────────────────── UK Remote Competitive Salary and benefits Not eligible for visa sponsorship ────────────────────────── Interested? Please apply, or know someone who might be? Drop me a DM • Seniority Level, • Not Applicable, • Industry, • Software Development, • Employment Type, • Full-time, • Job Functions, • Engineering, • Skills, • Artificial Intelligence (AI), • Large Language Models (LLM), • Machine Learning, • Technical Leadership, • Multi-agent Systems, • AWS SageMaker, • Amazon Web Services (AWS), • Python (Programming Language), • LangGraph, • Amazon

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

About Veridox Veridox works with some of the largest insurers, airlines, law firms, and financial institutions in the world to detect fraud in documents and images. When a customer submits a receipt, ID document, or damage photograph, our platform determines whether it is genuine, tampered with, or AI-generated and, critically, explains why with clear, verifiable evidence. We’re replacing manual processes with multi-agent AI that reasons more like a human forensic analyst and we're now scaling rapidly. Our Culture We are, first and foremost, builders. Our team is mature and professional, placing significant emphasis on humility, collaboration, and accountability. We operate as a collective: the success of the team takes precedence, we solve challenging problems together, and we share the credit uniformly. We seek individuals driven by the success of the overall system and the team, rather than individual accolades. While our internal environment is relaxed and highly collaborative, we maintain strong professionalism in our routines and customer interactions. We want autonomous, reliable engineers who take immense pride in their craft and aren’t afraid to take ownership directly in front of large enterprise customers. The Role You will be the key owner for the development and deployment of our agentic document analysis systems. Your work will extend significantly beyond simple prompt engineering; you will be architecting the resilient infrastructure required for our Large Language Models (LLMs) and Small Language Models (SLMs) to reliably ingest, process, and reason over complex documents at scale. We are looking for an engineer who not only understands how to construct robust production systems today but also possesses the strategic vision to guide our transition toward a fully agentic, skill-utilising platform in the future. Key Responsibilities • Build, deploy, and maintain highly resilient, asynchronous workflows using Azure Durable Functions (Python 3.14)., • Develop and iterate on agentic systems utilising LiteLLM, Vertex AI (Gemini Preview & GA Models), and Gemini 2 Embeddings., • Design and optimise retrieval pipelines using AWS OpenSearch., • Containerise applications using Docker and manage infrastructure-as-code deployments via Terraform., • Collaborate closely with our platform teams, competently engaging in discussions about system architecture and integrating with NodeJS APIs., • Lead technical discussions with enterprise customers, owning your systems and explaining complex AI concepts with clarity and professionalism. What You'll Bring • Deep expertise in Python and cloud-native architecture (specifically handling the complexities and nuances of Azure Durable Functions)., • Proven experience building and deploying production-grade LLM applications, moving substantially beyond experimental setups or Jupyter notebooks., • Strong understanding of agentic design patterns (including tool calling, routing, and state management)., • A true "builder's mentality": you must be trusted with the autonomy to take a feature from initial concept through to a hardened production deployment., • Exceptional professional courtesy, communication skills, and a willingness to stand confidently behind your work in front of clients. Why Join Us? • Build systems that matter: We aren't building toy wrappers. We are deploying AI into high-stakes environments where your engineering directly solves complex, enterprise-scale problems., • Autonomy with support: We hire experts and trust them. You will have the autonomy to design, build, and deploy end-to-end, backed by a collaborative team that has your back when things get difficult., • The best of both worlds: Enjoy a safe, relaxed, and genuinely fun internal culture combined with a fierce commitment to professional excellence and customer success., • No red tape, just engineering: We minimise bureaucracy so you can focus on what you do best: writing great code, building resilient cloud architecture, and pushing the boundaries of AI infrastructure.

ROLE: Machine Learning Developer HOURS: Full-time LOCATION: Bristol (hybrid) At Mitie, our people are our greatest strength, and our promise is to create a place to work where you can thrive and be your best every day. We’re looking for a Machine Learning Developer to join our Insight function within the Data & AI team, helping to design, build and deploy intelligent, data‑driven solutions that improve operational efficiency and support better organisational decision-making. You’ll work on production‑grade machine learning and LLM‑enabled products, collaborating with a wide range of technical and non‑technical stakeholders to turn complex requirements into scalable, real‑world solutions. Role Responsibilities: • Develop, deploy and maintain machine learning models using Python, in line with engineering, governance and security standards., • Query, transform and optimise data using SQL and SparkSQL to support advanced analytics and modelling., • Apply LLMs, embeddings and natural language processing techniques to enhance analytical capability and insight., • Build and support cloud-based data and ML workflows using Azure, Microsoft Fabric or equivalent platforms., • Translate business problems into clear analytical and technical specifications, ensuring solutions align with user needs., • Communicate complex technical concepts clearly to both technical and non-technical audiences., • Ensure high standards of code quality, documentation and maintainability across all solutions. Required Qualifications: • A STEM degree or equivalent experience, with a strong mathematical, analytical or software-focused background., • Proven experience using Python, SQL and SparkSQL in data or ML-focused roles., • Strong understanding of machine learning concepts and experience using common ML libraries such as scikit‑learn, TensorFlow or PyTorch, alongside packages such as NumPy and Pandas., • Knowledge of natural language processing techniques and API integration patterns for ML services., • Experience delivering projects end-to-end, from initial concept through to production deployment., • Ability to manage competing priorities, work independently and collaborate effectively with stakeholders. Desirable Skills: • Experience with Microsoft Fabric, Azure Machine Learning or similar enterprise cloud platforms., • Exposure to MLOps practices, lifecycle management and large-scale or distributed compute environments., • Familiarity with agentic AI concepts and frameworks such as LangChain, AutoGen or CrewAI, with an interest in developing deeper expertise.

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