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Compensation £40,000 – £70,000 base salary + performance-related bonus + benefits Performance-Related Bonus Great benefits (listed below) TL;DR • Role: AI Engineer (Agentic AI & LLM), • Level: Engineer or Senior, • Location: UK-based, fast-growing technology startup specialising in the energy sector, • Cloud Experience: Must have AWS or Azure (certifications desirable), • Management: No direct line management required, • Consultancy/Energy Experience: Highly beneficial, non-essential, • Visa Sponsorship: Not currently available; right to work and UK residency required, • Flexibility: Part-time, condensed hours, job-shares, and flexible arrangements considered, • Diversity & Inclusion: Extremely important—encouraging a broad mix of people from all backgrounds Who We Are Hypercube Consulting is a rapidly growing data and AI startup dedicated to transforming the energy sector through cutting-edge technology. Specialising in advanced AI systems, including Agentic AI workflows and large language models (LLMs), we help clients unlock profound value from their data assets. Join our expert team in shaping the future of AI-driven energy solutions. Role Purpose We are seeking an AI Engineer with hands-on experience in Agentic AI systems and Large Language Models to help design, develop, and deploy advanced AI solutions for our clients. You will collaborate closely with data engineering, analytics, and cloud teams to deliver transformative AI capabilities. As a senior hire in a growing organisation, your impact will be meaningful from day one. You will: • Engage clients to understand their challenges and help design Agentic AI and LLM-driven solutions., • Build and implement robust AI systems, including ML/LLM pipelines and agentic workflows., • Contribute to best practices in LLMOps, AI lifecycle management, and cloud-native AI infrastructure., • Share knowledge and support team development as we grow our AI engineering capability. Key Responsibilities Technical Delivery: • Act as a hands-on AI and LLM practitioner across client engagements and internal projects., • Design, build, and maintain scalable AI and LLM-based pipelines using AWS or Azure services (e.g., SageMaker, Azure ML, Databricks, OpenAI integrations)., • Work with cross-functional teams (data engineers, data scientists, DevOps, stakeholders) to deliver client-focused AI solutions., • Apply and help refine best practices in LLMOps and Agentic AI (prompt engineering, evaluation, agent architectures, CI/CD)., • Support business development through demos, proof-of-concept work, and technical pre-sales activities., • Build strong client relationships and contribute to growing team capability over time. Technical Skills & Experience Please apply even if you meet only some criteria—we value potential alongside experience. Core Skills • Agentic AI & LLMs: Hands-on experience building and deploying large language models and agent-based AI workflows., • Cloud AI (AWS/Azure): Experience delivering AI or ML solutions in production cloud environments., • Python: Strong capability in developing production-quality AI/ML code., • LLMOps & AI Model Management: Familiarity with tools like MLFlow, LangChain, Hugging Face, Kubeflow, or similar platforms., • Data Processing: Working knowledge of Databricks/Spark or comparable large-scale data processing tools., • SQL: Solid capabilities in data querying and preparation., • Data Architectures: Understanding of modern data infrastructure (lakehouses, data lakes, vector databases). Additional (Nice-to-Have) Skills • Infrastructure as Code: Terraform or similar., • Containers & Kubernetes: Docker, EKS/AKS., • Streaming: Kafka, Kinesis, Event Hubs., • AWS or Azure certifications. Desirable Experience • Consulting or Energy sector experience., • Public profile (blogs, conferences, open source)., • Stakeholder engagement and requirements translation., • Integration with external or hybrid cloud systems., • Clear communication across diverse technical audiences. What's in It for You? • High Impact: Work on energy-sector AI solutions that directly influence client outcomes., • Career Growth: Senior mentorship, dedicated training budgets, and a clear pathway to Principal., • Flexible Environment: Open to various flexible working arrangements to suit your lifestyle., • Start-up Culture: Contribute to shaping our culture, processes, and technologies., • Personal Branding: Encouraged and supported in building your public professional profile. Benefits • Performance-Related Bonus, • Enhanced Pension, • Enhanced Maternity/Paternity, • Private Health Insurance, • Health Cash Plan, • Peer Cash Award Scheme, • Cycle-to-Work Scheme, • Flexible Remote/Hybrid Working, • Events & Community Participation, • EV Leasing Scheme, • Training & Events Budget, • Mentorship Programmes Diversity & Inclusion Hypercube is committed to creating an inclusive environment reflective of society. We actively encourage applications from all backgrounds and experiences. Ready to Apply? If this role excites you, please apply via our careers page or reach out directly—even if you meet some but not all criteria. We're excited to explore how your expertise can help transform data and AI in the energy sector! N.B. Visa sponsorship is currently not available.

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

Meet Eloquent AI (YC X25) At Eloquent AI, we’re building the next generation of AI Operators—multimodal, autonomous systems that execute complex workflows across fragmented tools with human-level precision. Our technology goes far beyond chat: it sees, reads, clicks, types, and makes decisions—transforming how work gets done in regulated, high-stakes environments. We’re already powering some of the world’s leading financial institutions and insurers, fundamentally changing how millions of people manage their finances every day. From automating compliance reviews to handling customer operations, our Operators are quietly replacing repetitive, manual tasks with intelligent, end-to-end execution. Headquartered in San Francisco with a global footprint, Eloquent AI is a fast-growing company backed by top-tier investors. Join us to work alongside world-class talent in AI, engineering, and product as we redefine the future of financial services. About the role: As a Senior Full Stack Engineer at Eloquent AI you will be at the forefront of building and scaling AI-powered applications, transforming how enterprises interact with intelligent agents. You’ll work across the entire stack, developing high-performance front-end experiences and scalable back-end systems that power real-time AI-driven workflows. This role requires strong software engineering skills, a deep understanding of full-stack development, and the ability to work in a fast-paced, AI-first environment. You’ll collaborate with engineers, AI researchers, and product teams to build enterprise-grade solutions that enable seamless AI-human interactions. You will: • Design and build full-stack applications that power AI-driven workflows for enterprise users., • Develop high-performance front-end interfaces for AI agent control, monitoring, and visualisation., • Build scalable backend services that support real-time AI interactions, knowledge retrieval, and automation., • Optimize AI-powered UIs to ensure seamless and intuitive user experiences., • Work closely with AI researchers and ML engineers to integrate LLMs, RAG, and automation into production-ready systems., • Ship robust, minimal-dependency code that performs efficiently in enterprise environments., • Continuously iterate and refine AI-driven products, balancing user needs with technical feasibility. Requirements: • 7+ years of hands-on experience building full-stack production applications., • Proficiency in React, TypeScript, and Node.js., • Backend experience using Python., • Strong knowledge of cloud infrastructure (AWS, GCP, or Azure) and scalable architectures., • Ability to work in a fast-paced, high-autonomy environment - early-stage startup experience would be awesome., • Strong collaboration skills across engineering, product, and AI teams. Bonus Points If… • You have experience building AI-powered applications with LLM integrations., • You’ve worked in high-performance startups or enterprise AI environments., • You have a sharp eye for UI/UX design and have built intuitive, AI-driven interfaces., • You have experience with GraphQL, WebSockets, or real-time data streaming., • You’ve contributed to open-source projects or have built developer tools for AI. Whats on offer: • Salary up to £120k., • Meaningful early equity., • Remote-first setup anywhere in the UK, with occasional trips to meet up with the global team., • A chance to work with some of the smartest and most dedicated engineers and leaders you'll find anywhere.

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, • 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, 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.

About the role If you want to make a difference working with the largest names in pharmaceuticals and at the frontier of pharmaceutical marketing and educational content generation, read on. Circuit Medical is transforming how pharmaceutical companies generate educational and marketing content. Our leading platform is already being used at numerous leading pharmaceutical companies. We’re looking for leading AI Engineers who can take real-world customer and market requirements and turn them into working, scalable products; fast. You’ll own the full journey from prototype to scalable, production-grade systems. The level of role e.g. Principal, Senior will be dependent on candidate experience. What we need Someone who is equally comfortable whiteboarding an agentic architecture, scaling prototypes, and shipping the code behind it. You live at the intersection of R&D and product delivery, and you’re motivated by building products and features that scale and demonstrate returns, and not just those that demo well. Your job · Translate customer and market requirements into AI-powered product features, swiftly moving from concept to working software · Design and build agentic architectures using LLMs: from single-agent workflows to multi-agent systems · Lead on R&D cycles: research new approaches, prototype rapidly, evaluate rigorously, and ship what works in a rapid timeframe · Build scalable, production-ready systems: not throwaway prototypes · Collaborate across product, engineering, and commercial teams to ensure what you build solves real problems · Ship improvements continuously, driven by data and user feedback You should be · Someone who can demonstrate experience with LLMs, AI agents, and agentic design patterns e.g. tool use, RAG, planning, orchestration · Able to translate requirements into clear technical direction, and then execute on it · Genuinely curious: you read papers, run experiments, and stay close to the frontier · Entrepreneurial: you treat each challenge as an opportunity to shine and are tenacious · Motivated by building unique, scalable products that demonstrate impact in a real-world setting · Resilient and comfortable operating with ambiguity; you don’t wait for perfect specs, but continuously ask questions and offer improvements · Independent and self-driven, and a strong collaborator · Driven by customer feedback and customer centricity · Able to demonstrate at least 5 years’ experience in similar roles Stack · Python, React, data engineering pipelines, implements evals to drive robust product performance understanding, API integrations, CI/CD, AWS cloud infrastructure experience · Bonus: experience deploying models in different languages, working to ISO27001 ISMS standards, experience with biotech/pharma This role isn’t for you if… · You need a fully defined roadmap before you start building · You prefer deep specialisation in one narrow area over breadth and ownership · You’re looking for a slow, predictable environment What we offer · Competitive salary and benefits · Opportunities for professional growth · Flexible work hours and remote work · Collaborative, inclusive work environment · Chance to work on cutting-edge AI technologies with real-world impact Selection process · Screening interview with HR · Introductory interview with hiring manager/technical exercise · Capability interview with CEO/team members About Circuit Medical Circuit Medical is a well-established, research-driven global consultancy and AI solutions provider, that maximises the value of medical affairs for the biopharmaceutical industry, supporting leading companies like AstraZeneca, Roche, and Takeda. We're expanding our digital offerings with products designed to enhance quality, efficiency, and performance for clients that ultimately help them to improve patient care. We thrive on curiosity, innovation, collaboration, and delivering high-quality work. We’re a small, fast-moving team that values curiosity, ownership, and shipping over talking. If you want high autonomy, meaningful problems, and the chance to shape products from the ground up then we’d love to hear how you can add to our welcoming and innovative team. We're an inclusive team that celebrates diverse backgrounds and perspectives, providing equal opportunities regardless of race, colour, religion, age, sex, sexual orientation, gender identity, national origin, or disability.

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

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.

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

AI Engineer | Up to £130,000 | Remote | Full-Time We've partnered with a well-funded Web3 infrastructure company eliminating blockchain fragmentation to recruit an AI Engineer. Following a $20M Series A, they're scaling fast and need someone who can supercharge the org through intelligent systems, reporting directly to the CTO. You'll own the full AI stack; internal tooling, developer experience, customer-facing products, and everything in between, in a technically ambitious environment where your work has immediate, visible impact. Key Responsibilities: • Build AI-powered internal tooling and automation across all teams, • Enhance developer workflows with AI coding assistants and DX improvements, • Develop and maintain customer-facing AI systems and support pipelines, • Architect large-scale RAG and knowledge systems, • Design multi-agent and agent swarm architectures, • Manage LLM integration, model selection and cost/performance optimisation, • Fine-tune domain-specific LLMs and maintain observability (LangFuse, W&B), • Build workflow automation pipelines with n8n and LangChain What We're Looking For: • Proven track record shipping AI systems in production, • Strong Python, TypeScript and/or JavaScript, • Hands-on expertise with LangChain, n8n and RAG at scale, • LLM fine-tuning and multi-agent architecture experience, • Familiarity with MCP and modern AI tooling (Cursor, Claude), • A product mindset: you identify what teams actually need and drive adoption Bonus: Voice AI/multimodal experience or open-source AI contributions If you want to build at the intersection of cutting-edge AI and Web3 infrastructure, with real ownership and outsized impact, this is the role for you.

Now accepting applicants for Focus Group studies. Earn up to £700 per week part-time working from home. Must register to see if you qualify. No Customer Service Representative Agent experience needed. Customer Service Representative Agent Work From Home - Part Time Remote Focus Group Panelists Our company is seeking individuals to participate in National & Local Paid Focus Groups, Clinical Trials, and Market Research assignments. With most of our paid focus group studies, you have the option to participate remotely online or in-person. This is a great way to earn additional income from the comfort of your home. Compensation: £55 - £120 (per 1 hour session) £250 - £700 (multi-session studies) Job Requirements: Show up at least 10 mins before discussion start time. Participate by completing written and oral instructions. Complete written survey provided for each panel. MUST actually use products and/or services, if provided. Then be ready to discuss PRIOR to meeting date. Qualifications: Must have either a smartphone with working camera or desktop/laptop with webcam Must have access to high speed internet connection Desire to fully participate in one or several of the above topics Ability to read, understand, and follow oral and written instructions. Customer service representative agent experience is not necessary. Job Benefits: Flexibility to take part in discussions online or in-person. No commute needed should you choose to work from home remotely. No minimum hours. You can do this part-time or full-time Enjoy free samples from our sponsors and partners in exchange for your honest feedback of their products. You get to review and use new products or services before they are released to the public. You must apply on our website and complete a set of questionnaire to see if you qualify. This position is perfect for anyone looking for temporary, part-time or full-time work. The hours are flexible and no previous experience is required. If you are a customer service representative agent or someone just looking for a flexible part time remote work from home job, this is a great way to supplement your income.

Now accepting applicants for Focus Group studies. Earn up to £700 per week part-time working from home. Must register to see if you qualify. No Customer Service Representative Agent experience needed. Customer Service Representative Agent Work From Home - Part Time Remote Focus Group Panelists Our company is seeking individuals to participate in National & Local Paid Focus Groups, Clinical Trials, and Market Research assignments. With most of our paid focus group studies, you have the option to participate remotely online or in-person. This is a great way to earn additional income from the comfort of your home. Compensation: £55 - £120 (per 1 hour session) £250 - £700 (multi-session studies) Job Requirements: Show up at least 10 mins before discussion start time. Participate by completing written and oral instructions. Complete written survey provided for each panel. MUST actually use products and/or services, if provided. Then be ready to discuss PRIOR to meeting date. Qualifications: Must have either a smartphone with working camera or desktop/laptop with webcam Must have access to high speed internet connection Desire to fully participate in one or several of the above topics Ability to read, understand, and follow oral and written instructions. Customer service representative agent experience is not necessary. Job Benefits: Flexibility to take part in discussions online or in-person. No commute needed should you choose to work from home remotely. No minimum hours. You can do this part-time or full-time Enjoy free samples from our sponsors and partners in exchange for your honest feedback of their products. You get to review and use new products or services before they are released to the public. You must apply on our website and complete a set of questionnaire to see if you qualify. This position is perfect for anyone looking for temporary, part-time or full-time work. The hours are flexible and no previous experience is required. If you are a customer service representative agent or someone just looking for a flexible part time remote work from home job, this is a great way to supplement your income.

Now accepting applicants for Focus Group studies. Earn up to £700 per week part-time working from home. Must register to see if you qualify. No Customer Service Representative Agent experience needed. Customer Service Representative Agent Work From Home - Part Time Remote Focus Group Panelists Our company is seeking individuals to participate in National & Local Paid Focus Groups, Clinical Trials, and Market Research assignments. With most of our paid focus group studies, you have the option to participate remotely online or in-person. This is a great way to earn additional income from the comfort of your home. Compensation: £55 - £120 (per 1 hour session) £250 - £700 (multi-session studies) Job Requirements: Show up at least 10 mins before discussion start time. Participate by completing written and oral instructions. Complete written survey provided for each panel. MUST actually use products and/or services, if provided. Then be ready to discuss PRIOR to meeting date. Qualifications: Must have either a smartphone with working camera or desktop/laptop with webcam Must have access to high speed internet connection Desire to fully participate in one or several of the above topics Ability to read, understand, and follow oral and written instructions. Customer service representative agent experience is not necessary. Job Benefits: Flexibility to take part in discussions online or in-person. No commute needed should you choose to work from home remotely. No minimum hours. You can do this part-time or full-time Enjoy free samples from our sponsors and partners in exchange for your honest feedback of their products. You get to review and use new products or services before they are released to the public. You must apply on our website and complete a set of questionnaire to see if you qualify. This position is perfect for anyone looking for temporary, part-time or full-time work. The hours are flexible and no previous experience is required. If you are a customer service representative agent or someone just looking for a flexible part time remote work from home job, this is a great way to supplement your income.

Now accepting applicants for Focus Group studies. Earn up to £700 per week part-time working from home. Must register to see if you qualify. No Customer Service Representative Agent experience needed. Customer Service Representative Agent Work From Home - Part Time Remote Focus Group Panelists Our company is seeking individuals to participate in National & Local Paid Focus Groups, Clinical Trials, and Market Research assignments. With most of our paid focus group studies, you have the option to participate remotely online or in-person. This is a great way to earn additional income from the comfort of your home. Compensation: £55 - £120 (per 1 hour session) £250 - £700 (multi-session studies) Job Requirements: Show up at least 10 mins before discussion start time. Participate by completing written and oral instructions. Complete written survey provided for each panel. MUST actually use products and/or services, if provided. Then be ready to discuss PRIOR to meeting date. Qualifications: Must have either a smartphone with working camera or desktop/laptop with webcam Must have access to high speed internet connection Desire to fully participate in one or several of the above topics Ability to read, understand, and follow oral and written instructions. Customer service representative agent experience is not necessary. Job Benefits: Flexibility to take part in discussions online or in-person. No commute needed should you choose to work from home remotely. No minimum hours. You can do this part-time or full-time Enjoy free samples from our sponsors and partners in exchange for your honest feedback of their products. You get to review and use new products or services before they are released to the public. You must apply on our website and complete a set of questionnaire to see if you qualify. This position is perfect for anyone looking for temporary, part-time or full-time work. The hours are flexible and no previous experience is required. If you are a customer service representative agent or someone just looking for a flexible part time remote work from home job, this is a great way to supplement your income.

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

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.

AI Engineer (Remote, UK-based) About the Company We’re an AI-driven technology company building solutions that help organisations resolve complex issues—before they become costly or high-risk. Backed by leading investors and already generating revenue, the business is scaling quickly across multiple sectors—making this an opportunity to join at a pivotal stage and shape a fast-growing product. The Team & How You’ll Work You’ll collaborate closely with senior technical leadership and work alongside Product, Design, and AI specialists in a highly cross-functional environment. • ~80% hands-on development, ~20% architecture and system design, • Agile setup with 2-week sprints, standups, and retrospectives, • Strong engineering culture with dedicated time for technical debt What You’ll Do • Design and build AI-powered systems to solve complex problems, • Ensure privacy and security are embedded at every level, • Deliver scalable, maintainable, high-quality software, • Explore and implement new AI tools, frameworks, and models What We’re Looking For • Strong expertise in Python, • Experience building and deploying applications in production cloud environments, • Solid system design skills (scalability, security, performance), • Hands-on experience with AI-driven applications (e.g. LLMs, agents), • Ability to balance speed with long-term code quality Nice to Have • Experience with AWS, • Familiarity with multi-agent systems, • Exposure to enterprise compliance frameworks

Product Owner – Technical / Integrations & AI Focus Salary: Up to £80,000 Location: UK-based (Remote-first) We’re working with an established SaaS business in the travel and hospitality space to hire a technically strong and AI focused Product Owner into a high-impact, integration-led team. This is a hands-on role focused on how systems work behind the scenes. You’ll be working closely with engineers on APIs, data flows and complex integrations, owning delivery end-to-end. The Role • Own product features from discovery through to delivery and iteration, • Work on API integrations and system-to-system connectivity, • Define clear, structured requirements for technically complex work, • Support UAT, releases and live issue triage, • Use data / SQL to understand product behaviour You’ll also play a key role in driving AI adoption within the product, including: • Building and managing AI agent capabilities, • Working with MCP servers (serving and consuming endpoints), • Embedding AI into integrations and workflows What They’re Looking For • 3 to 5 years’ experience in a Product Owner / Product / BA role, • Strong experience with APIs, integrations and data-heavy systems, • Confident working closely with engineers on technical problems, • Ability to understand and explain complex systems clearly Plus (important): Hands-on experience applying AI in a product or engineering environment, not just using tools. Why Join • Real ownership in a scaled SaaS product, • Complex, integration-led challenges, • Opportunity to shape how AI is embedded into a live platform, • Fast-paced, low-bureaucracy environment To apply for this Product Owner role, please upload an updated copy of your CV or reach out to Gareth @ Neulinx.

About Quantiphi: • Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI—driving measurable outcomes at the very core of their operations., • Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value—not just technology for technology’s sake., • Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact. We have been recognized with: • 3x AWS AI/ML award wins., • 3x NVIDIA Partner of the Year titles., • Recognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firms., • We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators., • We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit: ___ or ___. Role: MLOps Architect - AWS Experience Level: 8+ years Employment type: Full Time Location: Remote (UK) Description: • We are seeking an experienced MLOps/AIOps Architect who can drive end-to-end implementation of MLOps strategy and also contribute broadly across other enterprise AI/ML programs. This role demands a strong architectural mindset, hands-on technical depth, and the ability to design scalable, cloud-native machine learning operations across traditional ML and modern LLM workflows., • The ideal candidate will bring experience with SageMaker-based MLOps pipelines, evaluation of equivalent tooling stacks, hybrid MLOps/LLMOps automation, CI/CD orchestration, governance, monitoring, automation and production-grade scalability patterns. Key Responsibilities: • Architect and implement the MLOps strategy for the programme, ensuring alignment with the project proposal and delivery roadmap., • Design and own enterprise-grade ML/LLM pipelines covering model training, validation, deployment, versioning, monitoring, and CI/CD automation., • Build container-oriented ML platforms (EKS-first) while evaluating alternative orchestration tools with similar capabilities (Kubeflow, SageMaker, MLflow, Airflow, etc.)., • Implement hybrid MLOps + LLMOps workflows, including prompt/version governance, evaluation frameworks, and monitoring for LLM-based systems., • Serve as a technical authority across multiple internal and customer projects, contributing architectural patterns, best practices, and reusable frameworks., • Enable observability, monitoring, drift detection, lineage tracking, and auditability across ML/LLM systems., • Define and implement standards for model deployment, monitoring, governance, and automation to ensure production-grade reliability and scalability., • Collaborate with cross-functional teams — data engineering, platform, DevOps, and client stakeholders — to deliver production-ready ML solutions., • Ensure all solutions adhere to security, governance, and compliance expectations, particularly around handling cloud services, Kubernetes workloads, and MLOps tools., • Conduct architecture reviews, troubleshoot complex ML system issues, and guide teams through implementation across cloud-native ML platforms., • Mentor engineers and provide guidance on modern MLOps tools, platform capabilities, and best practices. Skills: • Expierence working in ML/AI engineering or MLOps roles with strong architecture exposure., • Strong experience in leading enterprise grade MLOps strategy and its execution., • Proven experience in implementing the adoption of enterprise-grade MLOps platforms with client data science teams., • Proven leadership in defining and executing enterprise MLOps strategy., • Demonstrated success in driving the adoption of enterprise-grade MLOps platforms with client data science teams., • Strong expertise in AWS cloud-native ML stack, including: SageMaker(primary), EKS, Lambda, API Gateway, CI/CD (CodeBuild/CodePipeline or equivalent)., • Hands-on experience with at least one major MLOps toolset and awareness of alternatives: MLflow, Kubeflow, SageMaker Pipelines, Airflow, BentoML, KServe, Seldon., • Deep understanding of model lifecycle management (feature engineering->training → registry → deployment → monitoring)., • Experience implementing or supporting LLMOps pipelines, including: prompt versioning, evaluation metrics, automation frameworks., • Deep understanding of ML lifecycle: data ingestion, feature engineering, training, evaluation, model packaging, CI/CD, drift detection, monitoring, and governance., • Strong experience with AWS SageMaker (Pipelines, Feature Store, Model Registry, Model Monitor)., • Experience implementing ML CI/CD pipelines including automated training, testing, validation, model promotion, and endpoint deployment., • Experience working on Infrastructure as Code (IaC) tools and CI/CD pipelines., • Experience with Kubernetes based development., • Experience with feature engineering pipelines and Feature Store management., • Understanding of lineage tracking: training data snapshot, feature versions, code versioning, metadata tracking, reproducibility., • Hands-on experience with AWS Bedrock and Agentcore service., • Experience with CloudWatch, SageMaker Model Monitor, Prometheus/Grafana., • Strong foundation in Python and cloud-native development patterns., • Solid understanding of security best practices, IAM, secrets management, and artifact governance. Nice to have: • Experience with vector databases, RAG pipelines, or multi-agent AI systems., • Exposure to DevOps and infrastructure-as-code (Terraform, Helm, CDK)., • Hands-on understanding of model drift detection, A/B testing, canary rollouts, and blue-green deployments., • Familiarity with Observability stacks (Prometheus, Grafana, CloudWatch, OpenTelemetry)., • SQL and data transformation experience using Snowflake, Databricks, Spark., • Ability to translate business goals into scalable AI/ML platform designs., • Strong communication and cross-team collaboration skills., • Ability to guide engineering teams through technical uncertainty and design choices. What is in it for you: • Make an impact at one of the world’s fastest-growing AI-first digital engineering companies., • Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues., • Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines., • Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

Comfort participating in remote, part time studies. No call centre agent experience required. If the idea of getting paid to voice your opinions, test products, and contribute to market innovation appeals to you - and you're looking for flexible, work from home part time opportunities — this is yo

A technology service provider in the United Kingdom is seeking a skilled professional to manage and optimize their AI Caller Agent system. This position allows for remote work and offers weekly pay.

We are seeking a confident and target-driven Telesales Agent to join a dynamic UK-based business through Remote Recruitment. As a Telesales Agent, you will play a vital role in driving revenue growth by engaging prospective clients, understanding their needs, and presenting tailored solutions. At Re

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A technology startup in the United Kingdom is seeking a Machine Learning Engineer to design and deliver AI solutions.The ideal candidate will have strong Python and machine learning skills and thrive in collaborative environments.Responsibilities include developing AI-driven automation solutions and

A well-established travel network in the United Kingdom is seeking Independent Travel Agents to build their own travel business.

A leading company is seeking a Customer Service Agent for their Guest Education Centre, offering remote work from the UK.

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In this fully remote role, agents will assist users through chat, helping them navigate services and resolve inquiries. A leading staffing platform in the United Kingdom is looking for entry-level Chat Support Agents to provide excellent customer support without needing prior experience.

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As a Chat Support Agent, you will be the first point of contact for customers, providing assistance via live chat and messaging platforms. Experience working in remote teams.

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A customer-focused organization is seeking a Chat Support Agent to provide assistance primarily through live chat and messaging platforms. The role offers remote working flexibility, structured training, and opportunities for skill development within a collaborative environment.

An innovative AI company in the United Kingdom is seeking QAs for a project focused on validating AI agents. Enjoy flexible remote work while influencing future AI methodologies.

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The role involves building production-grade agent systems and collaborating across teams to ensure smooth workflows. The ideal candidate should have experience in designing distributed systems, building AI agents in production, and possess strong coding skills. A competitive salary package, along wi

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The Business Development Manager will target and visit Estate Agents, guiding them through a sales process to help them take the next step.

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