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.NET Developer, .NET 10.0, C# 14 - Digital Download Site - Sheffield (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, Azure DevOps, Agile, Blazor, JavaScript, React, Multithreading, RESTful, ML.NET, Azure AI, Programmer, Full Stack Engineer, Architect, .NET Developer)With operations in over 20 countries our client has fast become a major player within the digital download arena. In addition to an award winning website they have launched mobile apps for the iPhone and Android market, the latter of which has been featured on Google Play. They have created a real buzz in the industry have been written up in TechCrunch, The New York Times, The Guardian and many more. They are going through a period of explosive growth and need your help! We are seeking gifted .NET Developer to join their close-knit and extremely talented technical team. We are looking for .NET Developer who are ambitious about building a quality service which brings delight to their users. .NET Developer should be experienced in: .NET, .NET Core, C# and Azure SQL. You will be trained in all aspects of: .NET 10.0, ASP.NET Core, C# 14, Azure DevOps, Agile, Blazor, JavaScript, React, Multithreading, RESTful, ML.NET, Azure AI, Azure, Bootstrap, Agile and MongoDB. Top performers can expect to receive their first promotion (and pay rise) within 6 months. Our client offers a unique working environment including a free onsite restaurant, relaxation pods, games room, background music while you work and flexible working hours. Location: Sheffield, Yorkshire, UK / Remote Working Salary: £45,000 - £65,000 + £10k Sign-On Fee + Bonus Applicants must be based in the UK and have the right to work in the UK even though remote working is available. Noir continues to be the leading Microsoft recruitment agency; we can help you make the right career decisions! NOIRUKNETRECNOIRUKREC NC/NET/SHEET

• We are accepting applications from varying seniority levels, from Graduate to Principal Engineer, and will adjust terms accordingly. About Amodo Amodo is a hardware engineering company building the 21st century's most important technologies. Our team of mechanical, electronic, firmware, and software engineers are trusted by world-leading startups, universities, governments and philanthropists to solve pressing technical challenges. See who they are on our website - including MIT, Cambridge, Oxford, Imperial, ARIA and Rand Corp. We are selective in the projects we take on and proactive in seeking out where our exceptional engineering teams can make the most impact. We believe in differential technology development: deliberately accelerating safety-enhancing technologies to ensure human flourishing. Not every technology is inevitable – rather, the market fails to incentivise key domains. We work in these areas. What do we do? At Amodo you will work with a world class team to create some of the most important technologies of our time. We focus on high speed development and real world impact, making sure we’re continually delivering tangible, concrete progress across the board. You will see your designs manufactured and distributed globally, your research inform policy, and you will support multi-million pound projects. We’re currently focused on four key fields: AI safety, biosecurity, humane tech, and accelerating science (developing the hardware tools that scientific breakthroughs require, but don't yet exist). In addition to client work, we want to bring our inventions into the world as spin-out companies, open-source projects, and products. We're actively hiring people to take charge of making this happen. New invention & new research - We design and build new products, equipment, and tools. Invention and rapid iteration are core to our DNA. We use these new inventions and our experience to perform new research and push boundaries. More products than powerpoints - Common failure modes of today’s consultancies include risk aversion, theatre for clients, and misrepresentation of what is important in projects. We reject this approach. We’re here to do truth-seeking, progress-optimising engineering, not to make slide decks. Work that matters - Unlike many consultancies we also get involved at the pre-product stage. Our experience in industry and biotech puts us in the position to run feasibility studies for new and existing companies. This research-heavy work can include literature reviews, feasibility modelling and market research. A bit on our culture and what it would look like to work here: • Our values: Truth-seeking, excellent, enthusiastic, kind, humble, and always learning, • Our approach: We think before diving in, iterate fast, and focus on the highest-impact 80/20 work. We favour rapid experimentation, quick feedback loops, and sprinting to "something that works" rather than over-planning., • Feedback culture: We practice radical candor, which means being clear and direct while staying kind, and welcoming feedback at every level, • No "not my job"-ism: If we see something wrong, we fix it. If your part of a project is going great and another is struggling, don't settle for polishing a chunk of a struggling ship, • Socials: Table tennis every lunch, personal project evenings, pub trips, trail running club, and more, • Office: Spacious, modern space in central Sheffield, with parking and bike storage. In-house workshop and equipment for our mechanical and electrical work., • Project structure: You will generally be on 1 main project at a time, whilst supporting on 1-2 smaller projects. Team sizes vary from 2-10+ engineers, where most are ~4. Durations largely are within the 2 - 8 months range. We value drive, culture fit, and a track-record of engineering excellence and above all else, but the below competencies, interests, and attributes are extremely desirable: • Strong background in embedded software development, • Strong experience writing and deploying production firmware for Microprocessors, • FPGA experience, • Experience with electromechanical systems, control loops and kinematics Benefits • Free lunch every day, • Flexible hybrid working, • Flexible working hours, • 35 days holiday (including bank holidays), • We can pay your professional registration and institution fees, • Relocation assistance may be negotiated, • 15 minute technical screening interview, • 1 hour technical interview, • 1.5 hour in-person interview, • Offer

We are selective in the projects we take on and proactive in seeking out where our exceptional engineering teams can make the most impact. We believe in differential technology development: deliberately accelerating safety-enhancing technologies to ensure human flourishing. Not every technology is inevitable – rather, the market fails to incentivise key domains. We work in these areas. What do we do? At Amodo you will work with a world class team to create some of the most important technologies of our time. We focus on high speed development and real world impact, making sure we’re continually delivering tangible, concrete progress across the board. You will see your designs manufactured and distributed globally, your research inform policy, and you will support multi-million pound projects. We’re currently focused on four key fields: AI safety, biosecurity, humane tech, and accelerating science (developing the hardware tools that scientific breakthroughs require, but don't yet exist). In addition to client work, we want to bring our inventions into the world as spin-out companies, open-source projects, and products. We're actively hiring people to take charge of making this happen. New invention & new research - We design and build new products, equipment, and tools. Invention and rapid iteration are core to our DNA. We use these new inventions and our experience to perform new research and push boundaries. More products than powerpoints - Common failure modes of today’s consultancies include risk aversion, theatre for clients, and misrepresentation of what is important in projects. We reject this approach. We’re here to do truth-seeking, progress-optimising engineering, not to make slide decks. Work that matters - Unlike many consultancies we also get involved at the pre-product stage. Our experience in industry and biotech puts us in the position to run feasibility studies for new and existing companies. This research-heavy work can include literature reviews, feasibility modelling and market research. A bit on our culture and what it would look like to work here: • Our values: Truth-seeking, excellent, enthusiastic, kind, humble, and always learning, • Our approach: We think before diving in, iterate fast, and focus on the highest-impact 80/20 work. We favour rapid experimentation, quick feedback loops, and sprinting to "something that works" rather than over-planning., • Feedback culture: We practice radical candor, which means being clear and direct while staying kind, and welcoming feedback at every level, • No "not my job"-ism: If we see something wrong, we fix it. If your part of a project is going great and another is struggling, don't settle for polishing a chunk of a struggling ship, • Socials: Table tennis every lunch, personal project evenings, pub trips, trail running club, and more, • Office: Spacious, modern space in central Sheffield, with parking and bike storage. In-house workshop and equipment for our mechanical and electrical work., • Project structure: You will generally be on 1 main project at a time, whilst supporting on 1-2 smaller projects. Team sizes vary from 2-10+ engineers, where most are ~4. Durations largely are within the 2 - 8 months range., • Strong background in electronic design - component selection, schematic design, PCB layout, and component procurement, • Experience with hand THT and SMD PCB assembly and modifications, • Producing embedded firmware (C/C++), • Familiarity with mechanical design, • SPICE and/or RF simulation experience, • Experience balancing functional electronic design requirements with additional constraints (such as thermal, mechanical, and power requirements etc.), • Free lunch every day, • Flexible hybrid working, • Flexible working hours, • 35 days holiday (including bank holidays), • We can pay your professional registration and institution fees, • Relocation assistance may be negotiated, • 15 minute technical screening interview, • 1 hour technical interview, • 1.5 hour in-person interview, • Offer

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £28,000–£45,000 We Get You Hired We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

We are accepting applications from varying seniority levels, from Graduate to Principal Engineer, and will adjust terms accordingly. About Amodo Amodo is a hardware engineering company building the 21st century's most important technologies. Our team of mechanical, electronic, firmware, and software engineers are trusted by world-leading startups, universities, governments and philanthropists to solve pressing technical challenges. See who they are on our website - including MIT, Cambridge, Oxford, Imperial, ARIA and Rand Corp. We are selective in the projects we take on and proactive in seeking out where our exceptional engineering teams can make the most impact. We believe in differential technology development: deliberately accelerating safety-enhancing technologies to ensure human flourishing. Not every technology is inevitable – rather, the market fails to incentivise key domains. We work in these areas. What do we do? At Amodo you will work with a world class team to create some of the most important technologies of our time. We focus on high speed development and real world impact, making sure we’re continually delivering tangible, concrete progress across the board. You will see your designs manufactured and distributed globally, your research inform policy, and you will support multi-million pound projects. We’re currently focused on four key fields: AI safety, biosecurity, humane tech, and accelerating science (developing the hardware tools that scientific breakthroughs require, but don't yet exist). In addition to client work, we want to bring our inventions into the world as spin-out companies, open-source projects, and products. We're actively hiring people to take charge of making this happen. New invention & new research - We design and build new products, equipment, and tools. Invention and rapid iteration are core to our DNA. We use these new inventions and our experience to perform new research and push boundaries. More products than powerpoints - Common failure modes of today’s consultancies include risk aversion, theatre for clients, and misrepresentation of what is important in projects. We reject this approach. We’re here to do truth-seeking, progress-optimising engineering, not to make slide decks. Work that matters - Unlike many consultancies we also get involved at the pre-product stage. Our experience in industry and biotech puts us in the position to run feasibility studies for new and existing companies. This research-heavy work can include literature reviews, feasibility modelling and market research. A bit on our culture and what it would look like to work here: • Our values: Truth-seeking, excellent, enthusiastic, kind, humble, and always learning, • Our approach: We think before diving in, iterate fast, and focus on the highest-impact 80/20 work. We favour rapid experimentation, quick feedback loops, and sprinting to "something that works" rather than over-planning., • Feedback culture: We practice radical candor, which means being clear and direct while staying kind, and welcoming feedback at every level, • No "not my job"-ism: If we see something wrong, we fix it. If your part of a project is going great and another is struggling, don't settle for polishing a chunk of a struggling ship, • Socials: Table tennis every lunch, personal project evenings, pub trips, trail running club, and more, • Office: Spacious, modern space in central Sheffield, with parking and bike storage. In-house workshop and equipment for our mechanical and electrical work., • Project structure: You will generally be on 1 main project at a time, whilst supporting on 1-2 smaller projects. Team sizes vary from 2-10+ engineers, where most are ~4. Durations largely are within the 2 - 8 months range. We value drive, culture fit, and a track-record of engineering excellence and above all else, but the below competencies, interests, and attributes are extremely desirable: • Experience with frontend or backend development, • Experience writing and deploying code in one or more: CPP, JS, TypeScript, Python, • Experience writing firmware and working on hardware projects, • Interest in beautiful UX and graphic design., • Scientific tools, • Automation & robotics (Linux & ROS level), • Embedded C/C++ (typically owned by dedicated firmware engineers, but software engineers are welcome to learn!), • Linux, CUDA, Server engineering for our AI safety, security, and verification work, • Custom simulation software (usually python), • Data analysis pipelines (python) Benefits • Free lunch every day, • Flexible hybrid working, • Flexible working hours, • 35 days holiday (including bank holidays), • We can pay your professional registration and institution fees, • Relocation assistance may be negotiated, • 15 minute technical screening interview, • 1 hour technical interview, • 1.5 hour in-person interview, • Offer

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

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.

Job title: Electronic Design Engineer Location: Reading/Glasgow sites available within hybrid working arrangements. Mission Akkodis, is a global leader in the engineering and R&D market that is leveraging the power of connected data to accelerate innovation and digital transformation. With a shared passion for technology and talent, 50,000 engineers and digital experts deliver deep cross-sector expertise in 30 countries across North America, EMEA and APAC. Akkodis offers broad industry experience, and strong know-how in key technology sectors such as mobility, software & technology services, robotics, testing, simulations, data security, AI & data analytics. The combined IT and engineering expertise brings a unique end-to-end solution offering, with four service lines – Consulting, Solutions, Talents and Academy – to support clients in rethinking their product development and business processes, improve productivity, minimize time to market and shape a smarter and more sustainable tomorrow. Akkodis is part of the Adecco Group and is a commercial brand under which both AKKA and Modis entities operate. Scope The Electronic Engineer develops integrated hardware solutions, both utilising COTS components and designing bespoke systems, through design, development, verification, and validation. In this role you will produce electrical interconnect designs, cable schedules, ICDs, wiring schedules, LV distributions, earth & bonding strategies, assess the impact of EMI / EMC, RoHS, REACH and LV Directive on the electrical designs, etc. Responsibilities • Satisfy the HW requirement set through design, development, and test activities., • Implement the hardware architecture in physical and electrical form, fit and function., • Support Manufacturing and Procurement during the build phase, i.e. respond to Problem Reports and implement Engineering Change Requests., • Define the Design Proving / Hardware Test Specifications and use these during qualification., • Define the EMC and Environmental Test Specifications and use these during qualification., • Design and develop any special test equipment to facilitate the above. Skills • General Electronic and Electrical Engineering (degree level)., • COTS AC and DC LV power supplies., • Designing with PCI, RS485/232, Hotlink and Ethernet interfaces., • Designing cables and harness assemblies, utilising military style connectors and backshells, such as MIL-DTL-38999., • An understanding of cable screening methods and military style cable construction methodologies., • Designing to meet EMC and environmental standards / requirements. Experience • Strong relevant experience of the Skills listed above or associated experience that can be applied to electronic, electrical and electro-mechanical design in a regulated industry., • Design and specification of COTS and bespoke sub-assemblies and equipment suitable for 19” racks / cabinets., • Interconnection Design (i.e. wiring harnesses, copper or fibre optical network interconnections, connector types, power distribution and data comms, spatial constraints, environmental considerations)., • Full engineering lifecycle experience (Capture, Design, Implementation, Test)., • Working with requirements in a structured and evidential manner., • Production of Design / Test Specifications and Test Reports.

Company Description Wilder Sensing is building a platform to monitor biodiversity at scale using passive acoustic sensors and machine learning. We work with conservation organisations, land managers, and energy providers to generate actionable ecological insights from large-scale environmental data. Our platform processes tens of terabytes of audio data annually, applying AI models (e.g. bird and bat detection) and delivering analytics that inform real-world environmental decisions. Role Description We are looking for a Senior Backend Engineer to join our small, high-impact team, building technology that helps us better understand and protect the natural world. You will play a key role in developing and scaling our platform — from ingestion pipelines and APIs to analytics workflows — turning large-scale environmental data into meaningful ecological insight. This role is ideal for someone who sits at the intersection of technology and curiosity: an engineer who enjoys solving complex backend challenges, but is equally motivated by what the data represents in the real world — species, habitats, and ecosystems. You’ll thrive here if you: • enjoy building robust, scalable backend systems, • like working with large, imperfect, real-world datasets, • are curious about data and want to understand the story it tells, not just process it, • are excited to learn new technologies and domains as the platform evolves, • want your work to contribute to something tangible and meaningful An interest in ecology — particularly bioacoustics, conservation, or bat surveying — is highly desirable. You don’t need to be an expert, but you should be genuinely interested in engaging with the domain and growing your understanding over time. What You’ll Be Doing • Designing and building Python-based backend services and APIs, • Developing and maintaining data ingestion and processing pipelines, • Working with large-scale environmental datasets (audio + derived detections), • Improving performance, scalability, and reliability of our platform, • Collaborating with ML workflows (e.g. integrating model outputs into production systems), • Contributing to database design and data modelling across multiple storage systems, • Exploring and validating data to support product and scientific use cases Skills & Experience • Strong experience in Python backend development (e.g. FastAPI, Flask, similar), • Solid understanding of APIs and service-oriented architecture, • Practical experience with SQL and databases (PostgreSQL), • Comfortable working with data pipelines and data processing workflows, • Ability to work independently in a small team and take ownership of features Desirable • Exposure to ecology, environmental science, or biodiversity monitoring, • Experience with bat surveying, bioacoustics, or wildlife data, • Familiarity with AWS or cloud-native architectures, • Experience with NoSQL databases (e.g. DynamoDB, MongoDB), • Exposure to data analytics or exploratory data work (e.g. Pandas, PySpark), • Experience working with ML pipelines or model outputs, • Some experience in Web framework would be beneficial but not essential Why Join • Work on technology with real environmental impact, • Be part of a small, highly technical team with significant ownership, • Help shape a platform operating at the intersection of AI, ecology, and big data, • Opportunity to influence both product and technical direction We particularly welcome candidates from non-traditional backgrounds or with a strong personal interest in nature and conservation and a passion for technology.

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 hiring an Engineering Manager to lead and grow one of our engineering teams. This is a people first role for someone who is genuinely excited about the craft of leadership. You will own the performance, growth, and culture of your team, working closely with Product and Lead Engineer to create an environment of genuine ownership and high autonomy. This role requires a strong engineering background, not to own the technical direction, but to earn credibility, ask the right questions, and know when to step in. What You’ll Be Doing • Own performance, development, and progression of your team, • Own the individual performance and development of your direct reports, setting a high bar, giving honest feedback, and creating conditions for engineers to grow into real ownership., • Build a self-organised team, initially playing a facilitating role in ceremonies, with the explicit goal of no longer being needed to run the process., • Partner with Product on roadmap planning, making sure engineers understand the context behind the work, not just the tickets in front of them., • Own your team's delivery, keeping engineers unblocked, priorities clear, and commitments met., • Spot patterns in how your team operates, design better ways of working, and build the automation that powers those improvements., • Stay close enough to the codebase to spot friction, improve developer tooling, and engage credibly in technical discussions, without stepping onto the critical path., • Drive hiring alongside our Recruitment team, contributing to interview process design, and a high-quality candidate experience., • Set the cultural expectation around AI coding tools, building team-wide norms for responsible, high-quality AI-assisted engineering. What We’re Looking For • Extensive experience in software engineering, with genuine hands-on technical experience. You know what good code looks like and can get into the details when it matters., • Proven experience as an Engineering Manager or Team Lead, with real ownership of individual performance and team culture., • A track record of building high-trust, high-autonomy teams, not teams that work because of you, but teams that work because of the environment you built., • Good understanding of Node.js or Python, and React. Enough to have credible technical conversations, review code, and debug issues alongside your team., • Experience with Agile/Scrum, and a track record of improving how teams deliver, not just following a process., • Genuine excitement about AI coding tools. You use them yourself, you help your team use them well, and you stay current on what's emerging., • You enjoy management and leadership problems. Growing and unblocking people, building the processes and frameworks that make the team better. These are things you actively want to do. Why Aveni • We're building AI systems for a sector where trust and safety genuinely matter and we take that seriously in how we engineer., • High-trust, high-autonomy culture: we give engineers real ownership and expect them to use it., • AI-native engineering culture. We use AI tools across the full software lifecycle and expect our engineering leaders to lead from the front., • High-growth fintech at an exciting moment. New products launching, the team scaling, and the chance to shape how engineering works at Aveni for years to come. 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: • We’re a remote-first company across the UK, with regular off-sites and in-person gatherings that are always fun, motivating and team-focused., • 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

Overview We are looking for a Senior Data Platform Engineer who thrives on execution and delivery. This role is ideal for a hands-on, high-performing engineer who is passionate about building scalable data platforms and enabling other engineers across the organisation. You will play a key role in developing and evolving our data platform infrastructure, empowering Data Engineers to build and operate reliable data products efficiently. The ideal candidate combines strong database expertise, Snowflake experience, and Infrastructure as Code (Terraform) with a passion for platform engineering. As our platform evolves, we are also investing heavily in Agentic AI systems. Engineers in this team will increasingly act as “Team Leaders of AI Agents”, designing platforms that enable autonomous AI-driven workflows across the data ecosystem. Key Responsibilities Platform Engineering • Design, build, and maintain the data platform infrastructure used by Data Engineering teams., • Enable engineers across the organisation by creating self-service platform capabilities and automation., • Develop and maintain infrastructure using Infrastructure as Code (Terraform)., • Manage and optimise data platform architecture, with a strong focus on Snowflake and database systems., • Implement best practices for data storage, performance, governance, and security., • Act as a platform enabler for the wider Data Engineering community., • Build tools, templates, and workflows that accelerate delivery., • Contribute to the development of agentic AI-enabled data platforms., • Design systems that allow engineers to orchestrate and supervise AI agents performing data tasks., • Work toward a future where engineers act as “Team Leaders of AI Agents”, managing autonomous workflows at scale. Required Skills & Experience • Strong experience in Data Platform or Platform Engineering roles, • Expertise in Terraform / Infrastructure as Code, • Hands-on experience with Snowflake, • Strong background with databases and data infrastructure, • Proven ability to deliver and execute at a high level, • Experience enabling and supporting data engineering teams, • Strong engineering mindset with a focus on practical delivery rather than strategy Desirable Experience • Experience building internal platforms or developer platforms, • Knowledge of modern data stack architectures, • Experience with automation, CI/CD, and cloud-native environments, • Interest or experience in AI-driven automation or agentic systems What We're Looking For • High performer who enjoys building and shipping solutions, • Platform-minded engineer who enjoys enabling others, • Passionate about data infrastructure and developer experience, • Curious about the future of engineering in the age of AI agents

Plessey has a long history of innovation. Founded in 1956, we have evolved from one of Europe’s earliest semiconductor pioneers into the world’s most advanced microLED specialist. Over the decades, Plessey has built a first class, fully integrated platform designing, manufacturing, and engineering next-generation display technologies entirely in-house. This end-to-end capability, combined with our strong IP portfolio, uniquely positions us to lead the scaling of MicroLED’s from lab innovation to high-volume production. Our future is even brighter. We believe MicroLED’s will define the next era of technology—powering ultra-efficient AR/VR displays, driving optical processors that make AI faster and more sustainable, and enabling devices yet to be imagined. With our unique expertise and talented team, we are positioned to lead this transformation. It’s an exciting time to join us: Plessey has recently been acquired by Haylo Labs, accelerating our growth and opening new opportunities. Our Values • Lead, • Grow, • Trust Location Located at our head office and state-of-the-art fabrication facility in Plymouth. About the Role We are looking for a Senior Software Engineer to support the development of automated reliability and characterisation test systems for MicroLED devices. The role combines test software development, instrument control, and data analysis, supporting both the execution of reliability campaigns and the analysis of device performance and degradation. The engineer will work closely with hardware engineers and test engineers to develop software tools that control laboratory equipment, automate test procedures, and analyse large datasets generated during device testing. Key Responsibilities • Develop and maintain automated test software for reliability and characterisation systems., • Interface with laboratory instruments and test hardware using LabVIEW, C++, and Python., • Support the execution of device reliability campaigns and engineering experiments., • Develop tools for data collection, processing, and analysis., • Work with engineering teams to interpret results and identify device behaviour trends., • Contribute to improving the automation and robustness of internal test platforms. Skills, Knowledge and Expertise • Master’s degree in Physics, Electronic Engineering, or a related discipline., • Proficiency in LabVIEW and C++., • Working knowledge of Python for data processing and analysis., • Hands-on experience with communication protocols such as SPI and I²C., • Experience working with laboratory bench instruments such as power supply units (PSUs), oscilloscopes, pattern generators and multimeters., • Strong analytical mindset with attention to detail., • Ability to work independently with minimal supervision. Advantage • Experience with NI TestStand for automated test environments., • Background or practical experience in semiconductor device testing., • Experience analysing large datasets and developing mathematical models for device behaviour and degradation., • Familiarity with reliability testing methodologies (e.g., lifetime or stress testing).

We’re partnering with a PE-backed SaaS business in the EdTech space that is scaling quickly and investing heavily in its product and engineering function. They’re hiring a Staff Engineer to help shape technical strategy across a growing core product suite used at real scale. This is a high-impact senior IC role for someone who loves solving complex architectural problems, influencing across multiple teams, and operating at the intersection of engineering, product, and business strategy. This is not a “staff in title only” role. The business is looking for someone who can work across domains, support technical leaders, raise the architectural bar, and bring strong judgement to a fast-moving environment undergoing significant transformation - including a major push toward AI-first engineering ways of working. What you’ll be doing • Driving architecture, technical direction, and roadmaps across a complex product estate, • Partnering with Tech Leads, Product Directors, and Engineering leadership on the company’s most important initiatives, • Supporting delivery of new product areas, module rebuilds, and greenfield architectural challenges, • Coaching senior engineers and technical leads while improving engineering quality and decision-making across teams, • Helping define what AI-first software development looks like in practice, including how tooling and new workflows reshape the SDLC, • Operating as a senior technical leader across multiple teams rather than sitting in one narrow delivery lane What they’re looking for • A proven background as a Staff Engineer / Principal-level IC / senior technical leader in a scaling product business, • Strong experience in architecture, systems design, and technical strategy across multiple teams or domains, • Someone who can influence senior technical and non-technical stakeholders and turn ambiguity into momentum, • A leader who brings examples, judgement, and real-world experience not just theory, • Strong opinions on how AI changes engineering productivity, team design, and delivery, • Experience in modern product environments where quality, performance, security, and observability matter, • Exposure to technologies such as PHP, Node, React, Python, MySQL, and AWS is helpful, but this is not a language-led search

We’re Hiring on Behalf of Our Client: ML & AI Engineers Our client, a forward-thinking organization investing heavily in AI and machine learning innovation, is looking to hire ML & AI Engineers across multiple experience levels. If you’re passionate about deploying scalable AI systems and working on cutting-edge technologies, this could be your next move. Role Overview As an ML & AI Engineer, you will be responsible for automating model deployment, managing version control, and ensuring production-ready AI systems. You’ll also play a key role in integrating AI/LLM agents with strong observability and rollback mechanisms. Location : Leeds/Manchester Client : IT End Client :Banking domain Work Mode: Hybrid Contract : Inside IR 35 Salary : Market Standards Key Responsibilities • Automate ML model deployment workflows, • Manage model versioning and release processes, • Monitor inference cost, latency, and model drift, • Safely integrate AI/LLM agents into production systems, • Implement observability, alerting, and rollback mechanisms Experience Levels We’re hiring across multiple seniority levels: • Senior Developer: 3–6 years (ML/AI Engineering), • Lead Engineer: 7–9 years (ML/AI Engineering), • Architect: 10+ years (ML/AI Engineering) Required Skills • Model deployment automation, • Model version control, • Monitoring (cost, latency, drift), • Production integration of AI/LLM agents, • Observability & rollback systems Preferred Skills • Experience with containerized environments (Docker/Kubernetes), • Familiarity with CI/CD pipelines for ML (MLOps) Education Bachelor’s or Master’s degree in Computer Science, Engineering, or related field Location Flexible / Open (depending on project requirements) Employment Type Full-time Why Apply? This is a fantastic opportunity to work with a client at the forefront of AI innovation, building scalable, production-grade systems that make a real impact. Interested? Apply now or message me directly to learn more. Referrals are welcome! #Hiring #AIJobs #MLEngineer #MLOps #TechCareers #Recruitment #AIEngineering

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.

About Complexio Complexio is the intelligence layer for enterprise AI. Our platform builds a connected understanding of how businesses actually operate - across people, processes, and systems. Enterprises have invested heavily in AI platforms, copilots, and data infrastructure - yet daily work still runs on manual hand-offs and thousands of unseen tasks buried in emails, chats, and spreadsheets. Complexio closes that automation gap. Our Event Knowledge Graph ingests structured and unstructured data to create a living map of how an organisation truly works - every task, interaction, and dependency. Our Context Broker unifies this knowledge across enterprise systems in real time, enabling our Orchestration layer and Enterprise Automator to discover, design, and execute workflows autonomously. Stevie, our conversational AI assistant, gives teams a natural way to query and act on that intelligence. Complexio deploys securely within your infrastructure and integrates with the enterprise platforms you already run on - turning organisational knowledge into measurable business outcomes. A joint venture between Hafnia and Símbolo, backed by leading maritime partners including Marfin Management, C Transport Maritime, Trans Sea Transport, and BW Epic Kosan. Born in maritime, now scaling rapidly across industries. We are now onboarding enterprise customers globally, with a platform built to handle the pace and complexity of real business operations. Role Purpose Enterprise organisations do not buy software - they fund outcomes. The Value Engineer exists to make the connection between Complexio's platform capabilities and the specific, quantified business outcomes each customer cares about, at every stage of the relationship. Value engineering as a discipline has become a defining commercial capability at the world's leading enterprise software companies. ServiceNow built a global Value Engineering practice to justify platform ROI at scale. Celonis pioneered value engineering in the process mining space, making quantified process improvement the centrepiece of every enterprise deal. SAP's Value Advisors and Salesforce's Business Value Consultants have made the ability to prove financial return a standard expectation in enterprise software procurement. Complexio is building this capability now - at the stage where it will have the most impact on commercial outcomes. This role sits at the intersection of business consulting, commercial strategy, and deep operational understanding. You are not a sales support function. You are an independent, credible business advisor who earns the trust of customer CFOs, COOs, and operational leadership by doing rigorous work - identifying where value is being lost, modelling what recovery is worth, and demonstrating with evidence what Complexio has actually delivered. Key Responsibilities Value Discovery & Business Case Development • Lead structured value discovery engagements with prospective customers - working with operational, financial, and technology stakeholders to identify and quantify the cost of their current automation gap, • Map customer operational workflows to Complexio's platform capabilities, identifying the specific processes, hand-offs, and inefficiencies where the EKG, Context Broker, Enterprise Automator, and Stevie create measurable impact, • Translate business case outputs into executive-ready materials - CFO-grade financial models, board-level summaries, and ROI one-pagers that withstand scrutiny from finance and procurement stakeholders, • Validate assumptions with customers through structured interviews, data analysis, and process observation - never building a business case on hypotheticals that will be challenged at approval Pre-Sales Value Engagement • Partner with Sales, Client Directors, and Solutions Consultants in enterprise sales cycles - joining customer engagements specifically to lead the value and business case workstream, • Run executive value workshops with customer C-suite and operational leadership - structured sessions that move from pain identification through to quantified opportunity in a single engagement, • Produce deal-specific value narratives and ROI models that are calibrated to each customer's operational context, financial metrics, and internal approval process, • Equip the sales team with reusable value frameworks, benchmark data, and industry-specific ROI models that accelerate deal cycles across similar customer profiles, • Support commercial proposal development by providing the financial and business value content that underpins pricing, contract structure, and deal terms Post-Sale Value Realisation • Own the value realisation framework for Complexio's customer base - defining how value is tracked, measured, and reported from deployment through to steady-state operation, • Establish baseline metrics with customers at the point of deployment - agreeing the operational and financial KPIs against which Complexio's impact will be measured Value Benchmarking & Market Intelligence • Build and maintain Complexio's value benchmark library - a structured, continuously updated repository of outcome data across customers, sectors, use cases, and platform capabilities, • Develop sector-specific value models for Complexio's primary markets - maritime operations, energy trading, industrial workflow management - grounded in real customer data and validated against industry benchmarks, • Track and analyse how value accrues over time across the customer base - identifying which deployment patterns, use cases, and adoption sequences drive the fastest and largest outcomes, • Monitor competitive value positioning - understanding how Complexio's ROI profile compares to alternatives including Microsoft Copilot, Celonis, and incumbent manual processes Internal Value Enablement • Build and maintain a value engineering toolkit accessible to the broader commercial team - including value discovery frameworks, ROI calculators, benchmark data packs, and executive presentation templates, • Partner with Product and Engineering to ensure that Complexio's platform instrumentation supports value measurement - advocating for the telemetry, reporting, and analytics capabilities that make value realisation visible to customers, • Feed value data and customer outcome evidence back into Complexio's product prioritisation process - ensuring the roadmap is guided by where the platform creates the most demonstrable impact Executive & C-Suite Engagement • Engage directly with CFOs, COOs, and operational leadership as a credible, independent business advisor - not as a vendor representative, • Lead or co-lead executive value presentations and business case reviews at board and C-suite level - with the financial and operational rigour to withstand challenge from sophisticated buyers, • Shadow Co-CEOs and the CRO in strategic customer engagements as required - providing the value and ROI narrative in high-stakes commercial discussions, • Build long-term advisory relationships with senior customer stakeholders that extend beyond individual deals and create durable commercial anchors What We're Looking For Essential • 6+ years in a value engineering, value advisory, business value consulting, or management consulting role - ideally with direct experience in enterprise software, process automation, or AI/data platform contexts, • Demonstrable experience building and presenting rigorous business cases and ROI models to C-suite and finance stakeholders - models that have withstood scrutiny and influenced major investment decisions, • Strong financial modelling capability - comfortable building NPV, IRR, and payback analyses from first principles and translating operational data into financial outcomes, • Deep understanding of how large enterprises make investment decisions - approval processes, financial hurdle rates, competing priorities, and the politics of internal sponsorship Desirable Experience in the maritime, shipping, energy, or industrial sectors - operational familiarity with voyage management, fleet operations, chartering, trading, or supply chain workflows Experience with process mining, workflow analytics, or operational intelligence tools - and the ability to use data outputs to construct value narratives Familiarity with AI automation economics - understanding how to model labour displacement, error reduction, and decision acceleration in organisations adopting AI-driven workflows Experience building value benchmark databases and sector-specific ROI frameworks from scratch Who You Are Rigorous and credible - your business cases are built on real data, sound assumptions, and transparent methodology; you do not overstate value and you do not produce numbers that collapse under scrutiny A skilled interviewer and listener - you can run a discovery session with a COO or a fleet manager and extract the operational detail you need to build a credible model, without making them feel interrogated Commercially motivated - you understand that your work directly enables revenue and you take that seriously; you are not an academic analyst, you are a commercial contributor Independently minded - you are willing to tell a customer or a sales team that a use case does not meet the value threshold, because your credibility depends on honesty, not optimism • A strong writer and presenter - you produce executive materials that are clear, well-structured, and visually compelling; you do not hide weak analysis behind impressive slides, • Intellectually curious about how industries operate - you find genuine interest in understanding how a maritime shipping company makes money, where it loses it, and what operational changes move the needle, • A builder - Complexio does not yet have a mature value engineering function; you are excited by the opportunity to create the frameworks, tools, and benchmarks that will define how the company communicates value at scale

My client, undoubtedly one of the most exciting start-ups in the AI + Semiconductor space is looking for a Principal Analog Verification Engineer to join their team in Oxford. This role could also be based fully remotely, plus a superb salary. If you’re looking to do something completely different and really make an impact, read on. With substantial financial backing and a strong roadmap ahead of them, my client has the potential to completely transform semiconductor development. With a machine learning group already in place, they are now building a new analog team and seek an experienced Analog IC engineer with the desire and capability to shape and grow this new group. As the Senior / Principal Analog Verification Engineer you will be tasked with driving the creation of a machine-learning analog verification flow, creating and simulating transistor level circuits, as well as debugging and rectifying simulation and modelling issues. Our client is aiming to build a strong team, and so you will be key in helping to identify, recruit and mentor future Analog Verification Engineers. The key essentials are: • A BSc / MSc / PhD qualification within Electronic Engineering or similar, • Extensive industry experience within either Analog IC Design or Analog Verification, • A strong handle on Verilog-A (SystemVerilog would be an added bonus), • A background working within the power management space I’m looking for a great communicator who is excited to roll up their sleeves and help shape this fast-growing startup. An exceptional salary is on offer for the right candidate – my client can hire at Senior or Principal level. If this sounds like you, get in touch! Contact Caroline Pye @ IC Resources.

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About the Company Akkodis is a global leader in engineering, technology, and R&D, harnessing the power of connected data to drive digital transformation and innovation for a smarter, more sustainable future. As part of the Adecco Group, Akkodis employs over 50,000 engineers and digital specialists across 30 countries in North America, EMEA, and APAC. Our teams bring extensive cross-sector knowledge in critical technology areas such as mobility, software services, robotics, simulations, cybersecurity, AI, and data analytics, enabling clients to tackle complex challenges in today’s rapidly evolving markets. With a comprehensive solution portfolio across four service lines—Consulting, Solutions, Talents, and Academy—Akkodis supports clients from concept through to full-scale deployment and optimisation. Our diverse offerings help organisations rethink product development, accelerate productivity, reduce time-to-market, and prepare for the future. At Akkodis, you’ll join a dynamic environment that values continuous learning and global collaboration, where you can make a meaningful impact through innovative projects that shape the future of technology. About the Role The FPGA Engineer will contribute to the development, recovery, and certification support of FPGA-based designs for aerospace platforms, with a strong focus on legacy systems and board bring-up activities. The scope includes reverse engineering existing FPGA implementations, developing firmware from hardware requirements, and supporting integration of FPGA designs onto new or existing boards. Responsibilities • Lead FPGA development for legacy aerospace designs, including reverse engineering, and board bring-up activities., • Develop firmware requirements from hardware requirements., • Work closely with hardware teams, supporting early-phase board design and integration., • Ensure designs and deliverables comply with DO-254 aligned processes., • Support generation of design/certification documentation (PHAC), verification strategy, and accreditation discussions (SOI) for low-complexity designs. Qualifications • Bachelor’s degree in Electronic Engineering, Electrical Engineering, Computer Engineering, or a related discipline. Required Skills • Strong FPGA experience using VHDL, including Xilinx or Microchip devices., • Proven experience working from limited or legacy design information., • Experience working in regulated aerospace or defence environments (DAL-D)., • Awareness of DO-254 or similar hardware certification standards is an advantage.

Do you want to build AI systems that power real financial intelligence used by hedge funds? Have you deployed LLM or RAG systems into production rather than just prototypes? Are you ready to design agentic AI systems end-to-end in a small, high-ownership engineering team? A London-based alternative data company is hiring an AI Engineer to help build production AI systems used internally and eventually within client-facing products. The company develops machine learning models that estimate company performance before earnings announcements by analysing alternative datasets such as transaction data, digital signals, and web activity. Their platform tracks hundreds of public companies and sells predictive KPI insights to hedge funds and institutional investors. The team is small and highly technical, offering engineers significant ownership across architecture, tooling, and product development. This role will focus on designing and deploying end-to-end LLM systems, initially building internal AI tools and automation systems before expanding into client-facing AI products. Key Responsibilities • Design and deploy RAG pipelines for knowledge retrieval and reasoning, • Build agentic AI workflows using frameworks such as LangChain or similar, • Develop LLM microservices using Python frameworks such as FastAPI or Flask, • Build internal AI tools including chatbots, automation systems, and workflow assistants, • Deploy AI services on AWS infrastructure and manage reliability and monitoring, • Work with vector databases and orchestration frameworks for LLM systems Key Details • Comp: £60,000–£95,000, ~15% bonus, equity, • Working model: Fully remote (UK) with occasional team gatherings, • Tech stack: Python, LangChain, RAG systems, AWS, vector databases, • Visa sponsorship: This role cannot sponsor Interested? Please apply below.

Robert Half is recruiting for a Mid level Data Engineer for a 12 Month FTC. ROLE: Mid level Data Engineer LENGTH: 12 Months FTC LOCATION: UK-based (with occasional London office presence) PAY: depending on experience I’m currently working on an exciting opportunity for a Mid level Data Engineer to join a growing Product Innovation team. This role is ideal for someone who enjoys building scalable data solutions and working with modern cloud technologies. The Role • Designing and building robust data pipelines and architectures, • Working with Microsoft Fabric (Data Factory, Lakehouse, Data Warehouse), • Developing and optimising ETL processes, • Ensuring data quality, reliability, and performance, • Supporting data science and AI initiatives, • Collaborating with cross-functional teams to deliver data solutions Essential skills • Strong experience in data engineering (SQL, Python, or Scala), • Hands-on experience with Microsoft Fabric or similar cloud platforms (Azure, AWS, GCP), • Solid understanding of data modelling and pipeline design, • Experience with data visualisation tools (e.g. Power BI or Tableau), • Ability to troubleshoot and optimise data systems If you’re interested please apply or send CV to

📍 Remote | Full-Time | UK 🏴 🚀 The Client🚀 A well-funded, AI-native SaaS company is transforming the insurance industry by enabling smarter, faster, and more equitable underwriting decisions. Backed by leaders behind companies like Salesforce, Veeva, Zoom, and Box, the team is building a platform that embeds intelligent decision-making directly into workflows - helping insurers navigate today’s biggest challenges. 🧑 💻 The Role 🧑 💻 We are seeking a Senior Forward Deployed Engineer to design and deliver complex enterprise implementations while working closely with customers, engineering, and product teams. This role combines hands-on software development, technical consulting, and solution architecture to deploy AI-powered products in real-world environments. 🛠 Responsibilities 🛠 • Lead planning, scoping, and delivery of complex customer implementations from discovery through launch, • Act as the technical escalation point for integration and implementation challenges, debugging complex issues and designing robust solutions, • Run technical discovery sessions with customers, translating ambiguous requirements into clear technical solutions, • Design implementation approaches and influence architectural decisions based on real-world deployment needs, • Collaborate closely with Product, Engineering, Customer Success, and other cross-functional teams to align product capabilities with customer requirements, • Build internal playbooks, improve delivery processes, and mentor junior engineers, • Communicate technical insights and recommendations clearly to customers and internal stakeholders to help guide product improvements, • Write and debug production code for customer deployments and internal tooling using Python, JavaScript, and SQL 🎯 Qualifications 🎯 • B.S. in Computer Science or a related technical discipline, or equivalent experience, • 6-8+ years of software engineering, systems engineering, or technical product/program management experience 🧩 Required Skills 🧩 • Deep expertise across multiple product domains; ability to debug complex integrations and build custom solutions., • Strong communication skills — able to lead discovery sessions, manage client expectations, present technical tradeoffs, and influence stakeholders., • Demonstrated track record mentoring or leading other engineers, creating documentation/playbooks, and contributing to internal process improvements and knowledge sharing., • Cross-functional coordination skills, organizational leadership in delivery settings, and ability to own multiple customer timelines concurrently., • Coding competency in SQL, JavaScript and Python. If you're excited about driving AI-powered transformation 🤖, solving real-world problems at scale, and leading high-impact programs in a fast-scaling environment - Hit Apply!

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.

Robotics Deployment Engineer (Field & Applications) Full-time | Permanent Location: London, UK (or remote) Compensation: £60,000-80,000 per year. Travel: 80% across Europe. Role Overview Our customer, an AI robotics start-up, is building and scaling the deployment of AI-driven robotic arms for industrial environments, including manufacturing facilities and logistics operations. This role focuses on bringing these systems from concept to real-world performance at client sites. This role is the first of it's kind within the business, and they are now looking for an deployment engineer with a growth mindset who wants to join their journey, build/deliver a deployment process, and facilitate further growth in the area of field operations. What You’ll Do • Design and streamline end-to-end deployment workflows, covering technical pre-sales input, safety integration, and handling processes, • Lead on-site implementation of robotic solutions, ensuring successful installation, calibration, and operational readiness, • Track system performance post-deployment and collaborate with engineering teams to refine and optimise results, • Contribute to commercial efforts by providing technical expertise during client discussions alongside leadership, • Oversee and coordinate complex deployments for strategic customers, • Occasionally support AI development initiatives in partnership with the technical team Your Background Core Requirements: • Proven hands-on experience deploying robotic systems in real-world environments, • Strong organisational and project leadership capabilities, • Working knowledge of robotic software, machine vision, industrial cameras etc., • Genuine interest in robotics and artificial intelligence, combined with a self-driven and structured approach to work, • Experience with industrial robotic arms or collaborative robots, • Exposure to technical sales or pre-sales activities in robotics, • Familiarity with AI-based robotic applications, • Understanding of software rollout and integration processes, • Additional language skills (French and/or German)

🚀 Senior Full-Stack Engineer – TypeScript / React / AWS 💰 Up to £90,000 + Equity | Fully Remote (UK) 💻 Tech Stack: TypeScript, Node.js, React.js, AWS ✅ Backend lean We’re on the hunt for a hands-on Senior Engineer to join a fast-moving team delivering real, production grade systems. This isn’t R&D or proof-of-concept work, they’re shipping cloud-native, AI-enabled products that customers actually use. 🔹 About You • 6–8 years’ experience ideally, • TypeScript, React, Node.js wizardry, • AWS experience, • Bonus: React Native 🔹 What You’ll Do • Build event-driven microservices & APIs, • Develop modern, scalable React UIs, • Ship cloud-native systems on AWS, • Collaborate with product & AI specialists to turn ideas into features, • Champion clean, testable, reliable code 🔹 Why Join • Hands-on role with real ownership, • Work with modern cloud architecture & AI products, • Fully remote, but part of a high-performing, collaborative team 📩 Interested? Send over your CV + notice period. 🚀 Senior Full-Stack Engineer – TypeScript / React / AWS

We’re looking for a Machine Learning Research Engineer to join an early-stage quantum computing start-up developing full-stack photonic quantum systems. This role sits at the intersection of advanced ML research and applied engineering, focusing on generative algorithms and hybrid quantum-classical models. You’ll work closely with clients and partners to show how ML and quantum technologies can solve real-world challenges. Responsibilities: • Design, implement, and evaluate new machine learning algorithms, particularly generative models (GANs, flow models, diffusion models) and hybrid quantum-classical neural networks., • Partner with clients to translate practical problems onto the company’s quantum hardware and deliver solutions that demonstrate value., • Expand and improve the company’s software platform with new algorithms, example applications, and research-driven features., • Support scientific innovation by publishing findings and helping safeguard intellectual property. Required Skills & Experience: • Proven experience building and testing machine learning algorithms., • Hands-on experience with GANs, diffusion models, or flow-based generative models., • Strong programming skills in Python, PyTorch, and version control (Git)., • Advanced degree (Master’s or PhD) in Computer Science, Physics, or a related technical field. Preferred Skills: • Experience working with specialized computing hardware (HPC, NPUs, ASICs, or quantum processors)., • Multi-GPU training experience., • Publication record in ML or AI research., • Comfortable presenting and collaborating with clients or stakeholders., • Familiarity with quantum computing principles. Why Join: This role offers the chance to work on cutting-edge ML research applied to quantum hardware, delivering impactful solutions that move from concept to real-world implementation. The position provides hybrid flexibility in London and direct exposure to pioneering quantum technology.

Founded by ___, creator and co-founder of ___ (Series B, $425M valuation), Colossal is building at the intersection of generative app development and commerce infrastructure. Think: Lovable for commerce. We're backed by Tier 1 investors: ___, ___, ___, and are planning to raise our seed round later this year. Why Colossal? We're building the world's first AI-native commerce infrastructure platform, working with bleeding edge technologies and paradigms to redefine how businesses sell online. Join our early team and help shape the future of AI commerce. We’re still in stealth, so get in touch to learn more. 🥷 What we’re looking for • 5+ years experience building service-oriented software products end to end, ideally at early-stage startups, • A strong understanding of AI-based developer tools, methods and paradigms, • Generalist mindset with experience across the full stack, • Strong understanding of CI/CD, cloud infrastructure, observability, and developer tooling, • Comfortable owning products and features end to end, and taking responsibility for performance and optimisation, • Strong communicator, able to distribute knowledge across the team effectively through documentation, talks, demos and presentations What you’ll do • Build and own core backend services for our commerce infrastructure tools, including billing, workflows, and financial operations, • Build features that integrate AI into real-world product experiences, • Play a key role in software architecture design, including research, writing POCs for further refinement How we hire • Initial call with the founder (30 mins), • Complete a take home exercise, • Task review and pair programming with a team member (1 hour), • Meet with the product team for 2-way interview (30 mins), • Offer stage (including reference checks) To apply, please send your resume and a brief intro describing your interest to:

🚀 Hiring: Forward Deployed Engineer (Fully Remote across the UK) I’m partnering with a leading Revenue Ops platform transforming the commercial insurance space with a cutting-edge AI system that pulls from hundreds of data sources to modernize underwriting. 💰 $180M funded (Series A–D) 📈 7-figure recurring revenue 🌎 Fully remote 🧠 World-class engineering team This is a high-impact, customer-facing engineering role where you’ll architect and build custom solutions directly with enterprise clients. You’ll be writing production code, owning implementations end-to-end, and shaping long-term customer success. Must have experience: • BS in Computer Science, • Strong programming skills + SQL (live coding interview, no AI allowed), • Currently shipping production code, • Experience leading complex B2B SaaS implementations, • Forward Deployed / Solutions Engineering background, • 6+ years of experience, • Startup experience (Seed- Series E) Compensation is flexible and tailored to experience — we’re open to candidate expectations Fully remote across the UK

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

🚨 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🚨

Snr Software Engineering role • Paying between £80-100k, with a 10% bonus (performance related), • Remote but occasional offsites in LDN/worldwide A SaaS platform that provides businesses and researchers with high-quality, vetted human data for studies, surveys, and AI research are looking for 2 excellent Product Engineers. The stack is Python/JavaScript focused, but the crux of what they want are engineers who can build product from scratch, with a real understanding of how to optimize workflows. If you have a real focus on delivery and take full agency across the entire system, then this role would be perfect for you. A good example given is if you notice an issue in there stack, they want an engineer pragmatic and experienced enough to fix that problem, and engineers who are proactive problem solvers. This role is remote with occasional offsites, a brilliant benefits package and you will be working in a business acknowledged for being one of the best places in the UK for Engineers to learn and grow. Essential Skills: • Python, • JavaScript/Typescript. They use Vue.js but are open to any React.js engineers, • AWS/GCP, • MongoDB, • DynamoDB Nice to haves: • Experience building a product from scratch, • Kubernetes/Terraform experience, • Architecture background

Playrix — одна из самых успешных компаний по разработке мобильных игр в мире. По доходам среди всех мобильных приложений мы входим в топ-3 в мире, а в Европе мы первые. Наши игры установили 2,3 миллиарда раз (треть населения Земли), каждый день в них играет более 30 миллионов людей по всему миру! У нас большие планы на развитие и рост наших проектов, именно поэтому мы ищем сильнейших экспертов в наши команды разработки. При этом опыт работы на С++ и/или в геймдеве совсем необязателен: у нас отличная система адаптации для комфортного перехода новичков с Unity и из других индустрий. Команды разработки для нас - ядро компании, благодаря которому наши игры растут и развиваются уже 21 год. Lead Software Engineer – драйвер технического развития продукта, который ведет и развивает команду с точки зрения архитектуры, качества, культуры разработки и инженерных практик. В каждом проекте у нас есть основные направления: • Фичевое: разработка событий и мини-игр с нуля (от различных соревнований до мини-игр типа Merge);, • Техническое: оптимизация, поддержка технической стабильности, SDK (сокращение скорости загрузки, потребление памяти и др.);, • Match-3 и мета: работа с графикой и основной механикой игры (добавление нового функционала, рефакторинг и оптимизация). Задачи, которые предстоит решать: • People management: ответственность за развитие, найм/увольнение, оценку команды;, • Развитие процессов внутри команд (как на уровне команды, так и на уровне всей разработки на проекте);, • Продюсирование: решение сложных технических проблем на проектах, разработка архитектуры решения и обеспечение быстрой реализации;, • Контроль стабильности и качества программной части игры;, • Code review и design review;, • Программирование и рефакторинг игровой логики. Наш стек: • Языки: С++, для единичных задач Lua и Python;, • Графика: OpenGL ES и Metal;, • Собственный движок, похожий на Unity или Unreal, который мы постоянно развиваем (___);, • Продвинутый CI/CD, автоматическое тестирование, процессы code review и многое другое;, • AI-ассистенты: используем Cursor для автоматизации и ускорения разработки (от рутинных задач до планирования и декомпозиции). Мы ожидаем: • Опыт разработки коммерческих проектов на С++ и/или Unity не менее 3 лет,, • Опыт разработки проектов, выпущенных в production;, • Опыт управления командой программистов (3+ человек) не менее года. Будет плюсом: • Уверенное владение современными стандартами С++ 14/17, а также STL;, • Опыт работы с популярными игровыми движками (Unity, Unreal, Godot, Cocos2D, Defold и т.д.);, • Опыт работы с AI-помощниками для разработки (Cursor, Copilot и др.);, • Опыт разработки мобильных казуальных игр. У нас классно, потому что у нас есть: • Открытая коммуникация и прозрачность в принятии решений, обмен опытом внутри команд., • Фокус на качестве и надежности кода., • Упор на развитие продуктового видения у каждого специалиста в компании. Наши разработчики представляют, как та или иная фича будет работать у пользователя, и сами играют в игры, которые разрабатывают., • Возможность менять процессы и подходы на более эффективные без долгих согласований и бюрократии., • Понятные возможности развития в технического директора, программинг менеджера или проджект менеджера., • Мы активно используем Cursor и другие AI-инструменты в процессе разработки — у тебя будет возможность работать на переднем крае технологий, делиться опытом и формировать лучшие практики их применения. Мы предлагаем: Гибкость в работе: Для большинства позиций у нас гибкий график и удалённый формат работы. Мы ориентируемся на результат, а не на место или способ выполнения задач. Забота о здоровье и well-being: • Предоставляем ДМС для сотрудников и их детей, компенсируем онлайн-сессии с психологом., • Сохраняем 100% зарплату во время отпуска или больничного без лишних справок. А для особых случаев предоставляем дополнительные выходные., • Оплачиваем участие в профильных конференциях и курсах, проводим внутренние конференции., • Регулярно проводим развлекательные и рабочие мероприятия в офлайн-режиме: встречи команд, крупные корпоративные вечеринки и более лайтовые пати в офисах., • Также регулярно проводим развлекательные конкурсы, квизы, хакатоны, спортивные челленджи в режиме онлайн., • Собственный магазин мерча с внутренней валютой, где можно купить уникальные подарки. Валюту дарим на значимые даты, также ее можно заработать, участвуя в мероприятиях и брендовых активностях. Отправляя отклик на нашу вакансию, вы соглашаетесь, что ваши персональные данные, собранные во время собеседований в Playrix, будут обрабатываться в соответствии с условиями (___). Вы можете отправить запрос в отношении ваших персональных данных по адресу: .

About the role: This is an exciting opportunity for a forward-thinking and innovative cloud engineering lead to join ROCK. The Principal Cloud & AI Engineer is a highly technical, hands-on role that provides both deep engineering expertise and architectural guidance as we embark on scaling our AWS and Azure services portfolio. The role requires leadership qualities to be able to coordinate and mentor engineers and delivery partners within the team. This individual will be directly responsible for designing, building, and optimising scalable, secure, and resilient cloud solutions. The role also offers the successful candidate to take a leading role in the definition and implementation of tooling, CI/CD pipelines operational processes, automation, and security practices to ensure ROCK’s cloud deployments are robust, efficient, and financially well-managed. Alongside daily engineering responsibilities, the Principal Cloud Engineer will shape technical best practices, drive continuous improvement, and mentor engineers, fostering a culture focused on growth, learning, and innovation that supports ROCK’s ambition to become an AWS Premier Partner. The role is instrumental in building and scaling the professional services and the operational cloud team, supporting the evolution from a single customer pod model to multiple delivery teams. A flavour of what you will be doing: Technical Solution Leadership • Provide hands-on leadership in designing, prototyping, deploying scalable solutions and PoCs across AWS, and ideally Azure., • Lead modernisation and migration of complex workloads, particularly Windows environments, to modern cloud platforms., • Architect secure, scalable, and cost-optimised cloud-native environments aligned with well-architected principles., • Act as technical SME, supporting presales initiatives and aligning technical solutions with client business goals., • Serve as technical design authority for AWS, guiding team architectural standards and decision making., • Support the delivery of AI/ML and Gen AI proof of concepts, leveraging cloud-native services. Cloud Strategy, Automation & Governance • Develop and refine cloud landing zones, infrastructure-as-code, and automation strategies across cloud platforms., • Lead the design and standardisation of CI/CD pipelines and GitOps practices across teams., • Support the review of migration readiness and modernisation assessments, using frameworks such as 7Rs., • Standardise tooling, and governance to improve technical efficiency and consistency across teams., • Stay current with and integrate emerging technologies (AI, ML, serverless) to maintain technical edge. People Leadership & Team Development • Provide technical mentoring for cloud excellence, focusing on best practices, CI/CD and operational excellence., • Foster continuous learning through knowledge sharing, peer mentoring, and structured training., • Drive adoption of standardised operating procedures while encouraging innovation and improvement. What we need: • Proven experience in implementing and designing cloud solutions in AWS (currently holds or is willing to pass AWS Certified Solutions Architect Professional or DevOps Engineer Professional)., • Must have experience in Windows migration to AWS, Workspaces and monitoring and security services., • Extensive experience with landing zone development using Terraform IaC, CI/CD and git and GitOps., • Providing technical delivery experience and leadership through large complex projects and migrations., • Significant expertise in building AWS solutions, Azure experience, preferable but not essential., • Background in hybrid / on-premises integration (VMware, networking, storage), • Experience in supporting Cloud Operations / managed services., • Experience in delivering AI/ML and gen AI PoC’s advantageous. The ideal candidate: • Exemplary background in designing in AWS with AWS Pro certification. Azure certifications are also advantageous., • Continuous innovator, ability to support the success and implementation of new services and repeatable packaged solutions., • Strong leadership and communications skills with the ability to inspire., • Deep understanding of cloud operations frameworks, including well architected., • Exceptional communication skills for engaging both technical teams and non-technical stakeholders. This is an truly exciting opportunity as mentioned, to work across multiple projects and help define tooling as part of a fully remote and growing team. If interested, please apply or reach out to Jack directly!

The Opportunity We are an Imperial College London med tech spinout building AI-powered clinical decision-support tools certified as Software as a Medical Device (SaMD). Our platform uses real-world EHR data to identify patients at risk of preventable harm — giving NHS clinicians time to act. We are a small, high-ownership team operating at the intersection of clinical AI and healthcare infrastructure. This is a foundational engineering hire with a clear path to Head of Engineering as we scale. The Role You will own and shape the technical core of a live clinical AI platform — working across backend services, ML infrastructure, and hospital data integrations. You will have a direct line to the CTO and CEO from day one, with real influence over architectural decisions on a system processing real patient data across NHS trusts. What You'll Do 🔹 Own and extend the backend and ML infrastructure of a production SaMD system 🔹 Design and implement integrations with hospital systems (EHR, HL7/FHIR), including partnerships with major healthcare data platforms 🔹 Build and maintain Python/Azure-based services — APIs, data pipelines, monitoring and audit frameworks 🔹 Write software that meets medical device quality standards, producing artefacts that support regulatory submissions 🔹 Collaborate with clinical, data science, and regulatory stakeholders 🔹 Help define engineering culture and processes as the team grows around you What We're Looking For ✅ 5+ years of professional software engineering experience with a strong Python background ✅ Proven experience building and operating production services on Azure or AWS ✅ Comfort with data-heavy systems — pipelines, databases, REST APIs — and a taste for clean architecture ✅ Strong written communication; able to document work to regulatory audit standard Nice to Have ⭐ Experience in a regulated software environment (medical devices, fintech, defence, or similar) ⭐ Familiarity with FHIR/HL7 or clinical EHR systems ⭐ Exposure to ML model deployment or monitoring in production Tech Stack Python · Azure · Terraform · Docker · ML Pipelines · FHIR / HL7 · GitHub Actions What's on Offer 💰 Competitive renumeration package, depending on experience 🏖️ 25 days annual leave + bank holidays 🏥 Access to clinical and academic networks 🔀 Flexible hybrid working, London base Growth Path As we move through our next funding round and scale clinical deployments, the expectation is that you grow into Head of Engineering or equivalent — owning technical strategy, building a team, and sitting at the table for product, regulatory, and commercial decisions.

Playrix — одна из самых успешных компаний по разработке мобильных игр в мире. По доходам среди всех мобильных приложений мы входим в топ-3 в мире, а в Европе мы первые. Наши игры установили 2,3 миллиарда раз (треть населения Земли), каждый день в них играет более 30 миллионов людей по всему миру! У нас большие планы на развитие и рост наших проектов, именно поэтому мы ищем сильнейших экспертов в наши команды разработки. Если ты работаешь с Unity, но хотел бы попробовать свои силы в С++, мы готовы тебе помочь. Команды разработки для нас - ядро компании, благодаря которому наши игры растут и развиваются уже 21 год. Lead Software Engineer – драйвер технического развития продукта, который ведет и развивает команду с точки зрения архитектуры, качества, культуры разработки и инженерных практик. В каждом проекте у нас есть основные направления: • Фичевое: разработка событий и мини-игр с нуля (от различных соревнований до мини-игр типа Merge);, • Техническое: оптимизация, поддержка технической стабильности, SDK (сокращение скорости загрузки, потребление памяти и др.);, • Match-3 и мета: работа с графикой и основной механикой игры (добавление нового функционала, рефакторинг и оптимизация). Задачи, которые предстоит решать: • People management: ответственность за развитие, найм/увольнение, оценку команды;, • Развитие процессов внутри команд (как на уровне команды, так и на уровне всей разработки на проекте);, • Продюсирование: решение сложных технических проблем на проектах, разработка архитектуры решения и обеспечение быстрой реализации;, • Контроль стабильности и качества программной части игры;, • Code review и design review;, • Программирование и рефакторинг игровой логики. Наш стек: • Языки: С++, для единичных задач Lua и Python;, • Графика: OpenGL ES и Metal;, • Собственный движок, похожий на Unity или Unreal, который мы постоянно развиваем (___);, • Продвинутый CI/CD, автоматическое тестирование, процессы code review и многое другое;, • AI-ассистенты: используем Cursor для автоматизации и ускорения разработки (от рутинных задач до планирования и декомпозиции). Мы ожидаем: • Опыт разработки коммерческих проектов на С++ и/или Unity не менее 3 лет,, • Опыт разработки проектов, выпущенных в production;, • Опыт управления командой программистов (3+ человек) не менее года. Будет плюсом: • Уверенное владение современными стандартами С++ 14/17, а также STL;, • Опыт работы с популярными игровыми движками (Unity, Unreal, Godot, Cocos2D, Defold и т.д.);, • Опыт работы с AI-помощниками для разработки (Cursor, Copilot и др.);, • Опыт разработки мобильных казуальных игр. У нас классно, потому что у нас есть: • Открытая коммуникация и прозрачность в принятии решений, обмен опытом внутри команд., • Фокус на качестве и надежности кода., • Упор на развитие продуктового видения у каждого специалиста в компании. Наши разработчики представляют, как та или иная фича будет работать у пользователя, и сами играют в игры, которые разрабатывают., • Возможность менять процессы и подходы на более эффективные без долгих согласований и бюрократии., • Понятные возможности развития в технического директора, программинг менеджера или проджект менеджера., • Мы активно используем Cursor и другие AI-инструменты в процессе разработки — у тебя будет возможность работать на переднем крае технологий, делиться опытом и формировать лучшие практики их применения. Мы предлагаем: Гибкость в работе: Для большинства позиций у нас гибкий график и удалённый формат работы. Мы ориентируемся на результат, а не на место или способ выполнения задач. Забота о здоровье и well-being: • Предоставляем ДМС для сотрудников и их детей, компенсируем онлайн-сессии с психологом., • Сохраняем 100% зарплату во время отпуска или больничного без лишних справок. А для особых случаев предоставляем дополнительные выходные., • Оплачиваем участие в профильных конференциях и курсах, проводим внутренние конференции., • Регулярно проводим развлекательные и рабочие мероприятия в офлайн-режиме: встречи команд, крупные корпоративные вечеринки и более лайтовые пати в офисах., • Также регулярно проводим развлекательные конкурсы, квизы, хакатоны, спортивные челленджи в режиме онлайн., • Собственный магазин мерча с внутренней валютой, где можно купить уникальные подарки. Валюту дарим на значимые даты, также ее можно заработать, участвуя в мероприятиях и брендовых активностях. Отправляя отклик на нашу вакансию, вы соглашаетесь, что ваши персональные данные, собранные во время собеседований в Playrix, будут обрабатываться в соответствии с условиями (___). Вы можете отправить запрос в отношении ваших персональных данных по адресу: .

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.

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

Full Stack Product Engineer - London (will need to relocate if not in London) We’re looking for a Full Stack Product Engineer to help build and scale a high-growth product in a fast-paced environment. This role is ideal for someone who enjoys working across the stack, shipping features quickly, and solving real user problems. Responsibilities • Build and own user-facing features end-to-end, • Develop new product capabilities (including AI-powered features), • Optimise application performance, scalability, and reliability, • Work closely with users to understand needs and deliver solutions, • Experience in product-focused engineering environments, • Strong skills in TypeScript, Node.js, and React, • Experience with modern frontend tooling (e.g. Tailwind or similar) is a plus, • Solid knowledge of relational databases (e.g. PostgreSQL), • You’re a hands-on builder who enjoys creating products from scratch, • Comfortable working in fast-paced, evolving environments, • Interested in startup or high-growth settings, • Collaborative, pragmatic, and user-focused, • London-based role with primarily in-office working, • Competitive salary + great list of benefits, • Relocation support available for candidates moving to London from within the UK

We're hiring a Gen AI Engineer If you've built LLM systems that actually work in production — not prototypes, not demos — this is worth reading. What our client does They're an AI company operating at the intersection of computer vision and large language models, building intelligent workflows for industries where work happens in the field: utilities, telecoms, energy, retail. Their platform processes real-world operational data at scale, helping global enterprise clients make faster, safer and more accurate decisions about their assets and people. They own a dataset in this space that nobody else has. That matters when you're building AI that actually needs to work. 50+ models in production. Real clients. Real scale. The role You'll own LLM applications end to end. Architecture, prompt engineering, RAG pipelines, eval tooling, guardrails, all of it. No handoffs, no red tape. You build it, you own it. Stack: LangChain / LangGraph, AWS Bedrock, Pinecone / FAISS / Weaviate, DeepEval / Langfuse, Docker, Python. Multimodal capability essential. What we're looking for • 2+ years building and deploying production LLM systems, • Hands-on with RAG, vector databases and retrieval optimisation, • Eval tooling experience: DeepEval, Langfuse, Ragas or equivalent, • Strong Python and LLM orchestration frameworks, • Multimodal LLM experience (text + image/video), • Can own a model autonomously without hand-holding Why join Small senior team. Bi-weekly shipping cycles. Remote-first with optional London office and monthly meetups. Equity, healthcare allowance, pension. The problems are hard. The data is unique. The ownership is real.

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

Job title: FPGA/Firmware Engineer Location: Available within Somerset, Manchester or London on a hybrid basis. Scope The FPGA Engineer will contribute to the development, recovery, and certification support of FPGA-based designs for aerospace platforms, with a strong focus on legacy systems and board bring-up activities. The scope includes reverse engineering existing FPGA implementations, developing firmware from hardware requirements, and supporting integration of FPGA designs onto new or existing boards. About the role As an FPGA Engineer, you will work on the development and support of FPGA designs for legacy and new aerospace hardware. This includes reverse engineering existing designs where documentation may be limited, defining firmware requirements from hardware inputs, and implementing solutions using VHDL on Xilinx or Microchip devices. Responsibilities • Lead FPGA development for legacy aerospace designs, including reverse engineering, and board bring‑up activities., • Develop firmware requirements from hardware requirements., • Work closely with hardware teams, supporting early‑phase board design and integration., • Ensure designs and deliverables comply with DO‑254 aligned processes., • Support generation of design/certification documentation (PHAC), verification strategy, and accreditation discussions (SOI) for low‑complexity designs. Required experience • Strong FPGA experience using VHDL, including Xilinx or Microchip devices., • Proven experience working from limited or legacy design information., • Experience working in regulated aerospace or defence environments (DAL‑D)., • Awareness of DO-254 or similar hardware certification standards is an advantage. About us Akkodis is a global leader in engineering, technology, and R&D, harnessing the power of connected data to drive digital transformation and innovation for a smarter, more sustainable future. As part of the Adecco Group, Akkodis employs over 50,000 engineers and digital specialists across 30 countries in North America, EMEA, and APAC. Our teams bring extensive cross-sector knowledge in critical technology areas such as mobility, software services, robotics, simulations, cybersecurity, AI, and data analytics, enabling clients to tackle complex challenges in today’s rapidly evolving markets. With a comprehensive solution portfolio across four service lines—Consulting, Solutions, Talents, and Academy—Akkodis supports clients from concept through to full-scale deployment and optimisation. Our diverse offerings help organisations rethink product development, accelerate productivity, reduce time-to-market, and prepare for the future. At Akkodis, you’ll join a dynamic environment that values continuous learning and global collaboration, where you can make a meaningful impact through innovative projects that shape the future of technology.

Plessey has a long history of innovation. Founded in 1956, we have evolved from one of Europe’s earliest semiconductor pioneers into the world’s most advanced microLED specialist. Over the decades, Plessey has built a first class, fully integrated platform designing, manufacturing, and engineering next-generation display technologies entirely in-house. This end-to-end capability, combined with our strong IP portfolio, uniquely positions us to lead the scaling of MicroLED’s from lab innovation to high-volume production. Our future is even brighter. We believe MicroLED’s will define the next era of technology—powering ultra-efficient AR/VR displays, driving optical processors that make AI faster and more sustainable, and enabling devices yet to be imagined. With our unique expertise and talented team, we are positioned to lead this transformation. It’s an exciting time to join us: Plessey has recently been acquired by Haylo Labs, accelerating our growth and opening new opportunities. Our Values • Lead, • Grow, • Trust Location Located at our head office and state-of-the-art fabrication facility in Plymouth. About the Role We are seeking a senior Embedded Software Engineer to join the Product Development team and contribute to embedded firmware development and hardware–software integration. This is a hands-on role, working closely with the Principal Engineer and Senior Hardware Engineer to translate system architecture into reliable embedded implementations across prototypes, demos, and product platforms. Key Responsibilities • Design, implement, and maintain embedded firmware in C/C++., • Develop and maintain low-level drivers and application firmware., • Support bootloader development and firmware update functionality., • Implement firmware robustness, error handling, and recovery paths., • Support firmware bring-up on new hardware., • Debug hardware/firmware issues involving power, clocks, interfaces, and timing., • Work with schematics, PCBs, and lab equipment during development and debugging., • Support validation and test readiness of embedded systems., • Translate architectural intent into working embedded implementations., • Take ownership of defined subsystems with appropriate guidance., • Contribute to technical documentation and knowledge transfer., • Support integration with test environments and higher-level software systems. Skills, Knowledge and Expertise • Background in Electronic Engineering or similar discipline., • Experience in embedded software development (C/C++)., • Experience with microcontrollers (e.g. STM32 or similar)., • Experience with bare-metal and/or RTOS-based systems., • Comfortable reading schematics and understanding hardware design., • Experience with board bring-up and low-level debugging., • Experience using SWD/JTAG, logic analysers, and oscilloscopes., • Understanding of common interfaces (USB, SPI, I²C/I3C, UART). Advantage • USB device development experience., • Familiarity with embedded Linux or Zephyr., • Experience supporting prototype, demo, or pre-production systems.

Senior ML & AI Engineer Remote Up to £80,000 About the Role We’re partnered with a fast-growing tech startup focused on how brands and retailers use data. Their AI platform brings together data science, immersive visualisation, and large-scale machine learning to optimise product ranges, plan shopper journeys, and drive smarter commercial decisions. They’re now looking for a Senior ML & AI Engineer to join their lean, high-impact engineering team. This is a pivotal role at the intersection of ML engineering, backend systems, and LLM integration - ideal for someone who thrives in fast-paced, hands-on environments where ML systems are core. Responsibilities • Design, build, and maintain scalable backend systems that power advanced ML and LLM applications., • Develop and manage end-to-end MLOps pipelines with automation, reproducibility, and scalability at their core., • Deploy and monitor machine learning and LLM models in production, identifying model drift and performance issues., • Drive research and development in modern ML, AI, and LLM approaches, applying SOTA techniques in a real-world setting., • Champion clean, maintainable, and well-documented code following best engineering practices. What We’re Looking For • Strong academic background in Computer Science, ML, AI, or a related field., • Deep hands-on experience with Python and ML frameworks (PyTorch, TensorFlow, Hugging Face)., • Proven background in MLOps, including model versioning, CI/CD for ML, and production monitoring., • Experience building robust backend systems and APIs to serve ML models at scale., • Strong understanding of big data technologies and data orchestration tools (Airflow, DBT)., • Familiarity with LLM integration and optimisation in production environments., • Excellent problem-solving, analytical, and communication skills., • Experience fine-tuning LLMs (e.g. Unsloth, cloud-based methods).

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.

Senior AI Engineer (NLP / LLMs) – remote (UK based) £70-100k depending on experience A high-growth SaaS company is hiring a Senior AI Engineer to help build intelligent, mission-critical systems used in highly regulated environments. The platform applies machine learning and large language models across complex, end-to-end data workflows, solving real-world problems with measurable social impact. The Role As a Senior AI Engineer, you’ll design, build and deploy advanced NLP and LLM-based solutions, taking models from research through to production. You’ll work closely with AI, data, MLOps and product teams to translate business and regulatory requirements into scalable, reliable AI systems. This is a hands-on role for someone who enjoys owning outcomes, balancing experimentation with real-world delivery. What You’ll Be Doing • Designing and developing NLP and LLM-driven solutions for complex, real-world use cases, • Fine-tuning and adapting foundation models using domain-specific data, • Building evaluation frameworks, prompt testing tools and data preprocessing pipelines, • Monitoring, optimising and maintaining deployed models for performance, cost and reliability, • Implementing explainability, fairness and bias-mitigation strategies, • Collaborating on MLOps pipelines, CI/CD workflows and production deployments, • Mentoring junior engineers and promoting best practices across the team, • Staying current with advances in AI, NLP and MLOps to drive continuous improvement What We’re Looking For • Proven experience as an AI or Machine Learning Engineer with end-to-end model ownership, • Strong expertise in NLP and LLMs (transformers, fine-tuning, RAG, agents), • Experience translating research and experimentation into production systems, • Solid understanding of MLOps, including CI/CD, monitoring and model lifecycle management, • Hands-on experience with Docker and Kubernetes, • Experience working in regulated or sensitive domains, • Exposure to graph-based retrieval techniques, • Experience with Azure ML and DevOps integrations

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

Trainee AI Engineer – No Experience Needed. Step 1 – AI Engineering Fundamentals. Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering.

We are looking for a skilled and experienced Analytics Engineer to join a rapidly growing organisation. Use Python or similar scripting languages to support analytics, automation, and data manipulation tasks. Excellent experience with Python.