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

Note: no agencies/consultancies, must be in the UK with right to work We're building the digital infrastructure that makes clean energy work in the real world. Seventy million machines run on diesel. The alternatives exist. But the operations are complex, the supply chains are still emerging, and for most companies the transition feels risky. That's the problem we're solving. Logiq Systems builds the operational intelligence layer that makes clean energy work in the real world. One platform for fuel suppliers, rental companies, and asset operators to deploy, monitor, and optimise hydrogen, battery, solar, and alternative fuel systems — at the scale and reliability that industries actually need. We're live across construction, events, and industrial sectors with customers including Toyota, Balfour Beatty, Acciona, Sunbelt Rentals, and Protium. The technology works. Now we're scaling the team that scales the business. If you want to work on infrastructure that matters, in a company early enough that what you do shapes the industry, we'd like to hear from you. UNITED KINGDOM, REMOTE / FULL-TIME Role Summary: We are looking for a Senior Software Engineer (full-stack) to develop the Logiq platform. Working closely with our Head of Product, you will be responsible for building software that forms the core of our main business, as well as defining the long-term technical direction of Logiq Systems. Who we are today: Logiq Systems was founded in 2020 and is currently a team of five. Aran Bates and Ben Lindley are the founders, two friends turned colleagues. We are both dads of kids less than 5 years old (two each). Having both worked on this for two years self-funded (although now venture backed) we are driving a huge market shift in off-grid energy. While it is one that won't change with the speed of the AI bubble - this is infrastructure and hardware, not some Al wrapper over ChatGPT - it delivers sticky and lasting change with our customers and the industries we touch. As a team our passion and mission is improving the world around us, making it better for people and the planet. Our purpose pushes us to be the force of change in this industry. Not just in environmental sustainability by making the world less polluted from carbon, noise and poor air quality, but also in creating a supportive company flexible to the realities of modern life. A company with a diverse, equal, and respectful workforce. What does that really mean though? Well we recognise that talent can exist anywhere in the UK and that people have life commitments that can overlap with traditional 'core hours'. We are remote-first: As a team we are spread across the UK from Edinburgh to London, this means we can work with the best people out there. We also recognise the importance of building a sense of team, meeting regularly (at least once a quarter) and put a lot of emphasis into team building in the 'virtual' work environment also - e.g. daily team video calls, non- work Slack channels such as one specifically for sharing the music we are listening to. Although for this role there is a preference to have a candidate within around an hour of travel to Edinburgh or Oxford to work with the founders or the Head of product in person more regularly. Flexible working: To manage the interface of life and work we operate a flexible working policy, at the start of every week we have a whole team standup and in that we clearly communicate as a team what commitments people have that might cut into the working day or lead to a hard stop at the end of the day, so that as a team we can ensure that life and work fit together. Supporting women and primary carers in tech: Both Ben and Aran fully recognise the importance of building a supportive working environment for women and parents so they can continue a career, while remaining supportive and attentive to both kids and work. This has been heavily influenced through their experience as fathers and with partners who continue to have successful careers, while sharing parenting loads. The team we are building: The team we want to build is one where we are: • Passionate about making a difference. We are pushing change through a traditional market there meaning there are naysayers, so it is very important we have strong belief in the change we are driving., • Flexible and comfortable with ambiguity. We must be flexible as the market is early and developing. You will be shaping a new offering in the clean energy industry right from the start!, • Extremely self-motivated with a strong work ethic. We are a small team and need people to own their work. We also work hard because we love what we do!, • Fun! We need to enjoy what we do, while still being proud about the quality of our work., • Humble, authentic, and honest. We give credit where credit is due. We can respect, support and celebrate others for the value they bring., • Comfortable being challenged. We believe in creating an environment where we feel comfortable and safe enough for ideas to be challenged in a constructive manner., • Curious. Curiosity drives improvement and innovation. Always ask why. The Role: As a Senior Software Engineer, you will be directly shaping the long-term technical direction of the Logiq platform and products, which provide real-time operational intelligence for connected clean energy assets. You will be designing and developing new products, features and improvements to the Logiq platform, delivering value to our growing customer base and the key capabilities required to evolve our growing business. As a senior member of the team, you will also have direct input into the product direction, working closely with the Head of Product to shape how Logiq develops as we scale. You will also be the champion of software engineering best practices across Logiq Systems. A few of your responsibilities: • Design and develop full-stack features using React, Python, PostgreSQL and serverless technologies (AWS Lambda, Fargate)., • Design and implement RESTful APIs and event-driven systems., • Maintain, extend and improve optimisation, alerting and forecasting models., • Implement and maintain CI/CD pipelines., • Ensure high-quality code through peer reviews, automated testing, documentation and adherence to software development standards., • Design and implement technical architecture and engineering processes., • Collaborate closely with a small startup team. To thrive in this role: We expect you to: • Be comfortable with variety and shifting priorities. Early-stage companies require adaptability, and you'll be working across very different types of tasks., • Take ownership of outcomes, not just tasks. You'll be given problems to solve, not always detailed instructions on how to solve them. We'll provide context and support, but you should be confident running with work and coming back with solutions or thoughtful questions., • Balance quality with speed. Early-stage work requires knowing when "good enough" is better than "perfect but late"., • Ask questions and challenge ideas respectfully. We value curiosity and constructive input across the team. We value people who bring their perspective and aren't afraid to ask "why?" or "what if we tried...?". Equally they are comfortable with their ideas also being respectfully questioned. We put the problem being tackled in the middle. What you'll need to do this job: • Full-stack: Proven experience in full-stack software development. We are using Python (REST & GraphQL) for the backend, React for the frontend., • Cloud architecture design: Proven experience in scalable cloud architecture design., • API design: Solid understanding API design (REST & GraphQL)., • SQL/NoSQL databases: Experience working with SQL (Postgres) and / or NoSQL databases., • AWS: Familiarity with the AWS infrastructure, such as Serverless stack or other event driven architecture technologies., • Customer Mindset: We value engineers who have a strong product and customer-centric mindset., • Communication: Excellent communication and collaboration skills to explain ideas clearly., • Collaborative and low-ego approach: You contribute positively to team culture and work well with others., • Agile: Comfortable with very lean/agile processes. We want you to be involved in all phases of the development lifecycle and bring your unique talents to the process., • DevOps: Experience with DevOps including setting up and managing CI/CD pipelines and terraform deployment., • AI enabled: Comfortable with leveraging AI to better assist developer workflows and rapid prototyping, • Testing: A strong testing mindset. If you think you meet most of the criteria, please get in touch! Experience we'd love to see: • Experience in developing high-scalability systems, • Experience with IoT data collection and processing pipelines. We are using a combination of Node-RED, MQTT, Telegraf, Linux, Python, InfluxDB and TimescaleDB., • Experience with integration of 3rd-party systems, • Experience with statistical modelling, ML optimisation & forecasting, • Strong data analytics skills, • Experience in early-stage start-ups, consulting, or high-growth environments where you've navigated ambiguity and taken initiative, • Experience working on (renewable) energy products or telemetry producing systems Location: • United Kingdom, Remote full-time, • We are remote first. We meet regularly (around once a quarter at least)., • We can’t currently support visas so you must have the right to work in the UK., • Preference for 1hr travel proximity to Edinburgh or Oxford to meet semi-regularly to work with founders or Head of Product. Remuneration: • £65,000 to £75,000/year salary depending on experience, • Share options in Logiq Systems

AI Implementation Engineer - Manchester A growing technology-led business is looking to hire an AI Implementation Engineer to help drive practical AI adoption across multiple areas of the organisation. This is a hands-on role focused on delivering AI solutions from concept through to live deployment and business adoption. Working within IT and closely alongside operational and commercial teams, you will build and implement practical AI use cases using Azure, LLMs, machine learning, and AI agents - ensuring solutions are secure, integrated, scalable, and actively used across the business. The organisation is already exploring a broad range of AI initiatives and is looking for someone capable of getting hands-on with implementation, working collaboratively with existing technical teams, and helping shape the future AI capability of the business. This role would suit someone who enjoys building practical AI solutions, solving operational problems, and delivering measurable business impact in a fast-moving environment. Role Purpose Hands-on role responsible for delivering AI solutions from concept through to live deployment and business adoption. Working within IT and closely with business teams, you will build and implement practical AI use cases using Azure, LLMs, ML, and AI agents — ensuring they are secure, integrated, scalable, and actively used. Key Responsibilities • Design and build high-performing AI models tailored to specific business needs, • Lead rapid prototyping initiatives through to production delivery, • Work directly with the IT Infrastructure team to deploy AI models into production environments, • Ensure solutions use Private Endpoints and meet enterprise-grade security standards, • Work with operational and business teams to embed AI tools into day-to-day workflows, • Drive adoption and ensure teams are actively using implemented AI solutions, • Set up automated evaluation and monitoring frameworks for production AI environments, including hallucination detection, drift monitoring, and latency tracking (GenAIOps), • Ensure AI solutions integrate securely with existing systems, data platforms, and APIs, • Collaborate with commercial stakeholders to assess project viability and business value before implementation, • Measure and track project impact, including efficiency gains, time savings, automation improvements, and quality outcomes, • Work closely with IT, development, and leadership teams to identify and prioritise AI opportunities across the organisation Required Experience Essential • Deep expertise in Python and relevant AI/ML frameworks and SDKs, • Proven experience building RAG pipelines that operate effectively in production environments, • Hands-on experience with model packaging, deployment, and production AI workflows, • Strong understanding of enterprise infrastructure concepts including VNets, Entra ID, API Gateways, and secure integrations, • Experience working with at least one major enterprise AI cloud platform (Azure preferred), • Strong SQL skills and experience working with both structured and unstructured data, • Experience building AI agents, workflow automation, and tool/API integrations, • Strong understanding of AI implementation, deployment, and operationalisation, • Ability to work closely with technical and non-technical stakeholders, • Strong problem-solving and communication skills Desirable • Experience with LLMOps / GenAIOps tooling and monitoring frameworks, • Exposure to OCR, computer vision, voice AI, or conversational AI solutions, • Experience working in operational, retail, automotive, or customer-focused businesses, • Familiarity with AI governance, security, and scalability best practices, • Experience helping shape or build internal AI capabilities within a business Salary & Benefits • Competitive salary depending on experience, • Quarterly bonus scheme, • Hybrid working arrangements — 3 days office / 2 days remote, • Opportunity to shape AI capability within a growing business, • Strong long-term career progression opportunities Interested? Please click Apply Now! AI Implementation Engineer - Manchester

Lead Data Analyst – Research & Insights | EdTech | £50,000 – £60,000 | Remote\n4-day work week available (pro-rated)\n\nJoin a well-established, award-winning EdTech company building engaging, maths-based learning products used by millions of children worldwide.\n\nThis is a hands-on role analysing product, user, and business data to generate insights that shape decision-making. You’ll uncover how learners engage with digital platforms, identify behavioural patterns, and influence product development and user experience — while also contributing to research that improves how children learn.\n\nThe Role\n\nThis is a high-impact Lead Data Analyst role combining product analytics with a strong research mindset.\nYou will lead a small and growing insights function (with one Research Associate), ensuring that data, analysis, and interpretation are robust, scalable, and drive real impact.\n\nYou will:\n\nAnalyse how users engage with learning platforms (behaviour, progress, engagement)\nIdentify patterns, trends, and opportunities for improvement\nEvaluate the impact and effectiveness of product features and releases\nCombine quantitative data with qualitative insights (e.g. user feedback)\nSupport research initiatives exploring learning outcomes\nWork closely with leadership to define key analytical questions\nSupport the onboarding, coordination, and line management of a Research Associate\nWork with tools such as Python, Looker, or similarWhat We’re Looking For\n\n4–6 years’ experience as a Data Analyst, Product Analyst, or similar\nStrong SQL skills and experience working with large datasets\nExperience using Python or R for data analysis\nExperience supervising or managing small teams (1–2 people)\nSolid understanding of cohort analysis, segmentation, and statistical methods (e.g. regression, correlation)\nAbility to critically evaluate data, including bias and confounding factors\nStrong communication skills with both technical and non-technical stakeholders\nA natural curiosity — particularly around learning and behaviourSalary & Benefits\n\n£50,000 – £60,000 (full-time equivalent)\nOption to work a 4-day week (pro rata £40,000 – £48,000)\nHybrid working for candidates local to bedford office (2–3 days onsite)\nRemote working options for candidates UK wide (with occasional office visits)\nPension\nPrivate healthcare

Compiler Engineer 📍 Remote (UK) 💰 Competitive + Equity The Company Join a Quantum hardware company building neutral-atom quantum computers and they are looking to hire a Compiler Engineer to work on their next-generation compiler and simulation stack. This is a true compiler role- not scripting, not tooling support. You’ll be building SSA-based compiler infrastructure, contributing to language design, and working directly alongside hardware and physics teams to co-design the compiler stack around real quantum systems. Compiler Engineer Responsibilities • Develop and maintain SSA-based compiler infrastructure across multiple abstraction layers, • Design and implement domain-specific languages tailored to quantum hardware, • Build and evolve compiler pipelines from low-level hardware instructions to high-level programming interfaces, • Integrate simulation tooling into the compiler and cloud stack, • Contribute to optimisation, scheduling, and hardware-aware compilation strategies Compiler Engineer Background • Strong foundations in compiler construction and programming languages, • Experience building or extending SSA-based compiler infrastructure, • Comfortable working across IR design, lowering, optimisation, and code generation, • Experience in at least one compiled language (C++, Rust, OCaml, Julia, etc.), • Deep understanding of Python semantics and interpreter behaviour This is one of the few opportunities where compilers are a core architectural driver of hardware - not just an afterthought. If you’re working in LLVM / MLIR / backend compiler infrastructure and want something genuinely deep-tech, let’s talk. Feel free to reach out to Harry Hansford @ IC Resources.

Senior Python Django Developer – Contract • Location: Full Remote (Occasional Travel), • Daily Rate: Up to £750 p/d Inside IR35 via Umbrella Engagement (Negotiable), • Please Note: This role will need to operate through an Umbrella company and all employer, employee tax and NI will be deducted from the rate About Us Our client is a forward-thinking FTSE100 retailer, building cutting-edge, enterprise-grade algorithmic platforms for global institutions. Our mission is to harness the power of AI to transform data into actionable insights, driving smarter decisions in capital markets, asset management, and fintech innovation. As we expand our core engineering team, we are seeking an exceptional Senior Python Django Developer to help architect, build, and scale our high-performance systems. Role Overview As a Senior Developer, you will be working on a sophisticated AI-powered algorithm platform, responsible for the core services, APIs, and distributed processing backbone. This role requires a deep understanding of Python internals, Django architecture, and scalable API design, with a particular emphasis on multithreading, concurrency, and performance tuning. Key Responsibilities • Lead the design and development of backend services using Python and the Django Rest Framework (DRF), • Optimize data processing and I/O-heavy operations, with advanced understanding of Global Interpreter Lock (GIL) and Threading, • Implement clean, type-safe code using Python type hinting, PEP-compliant standards, and robust unit testing, • Build performant, scalable APIs to support financial modeling and algorithmic decision-making tools, • Architect and implement efficient event-driven workflows, asynchronous tasks, and loop constructs for real-time operations, • Collaborate closely with AI/ML engineers, UI/UX Engineers, Data Scientists, and DevOps to deploy and monitor production-ready services, • Mentor junior developers and conduct code reviews to maintain high code quality and engineering standards Key Skills & Experience Essential: • Proven experience in Python backend development, with deep expertise in Django and Django Rest Framework across multiple organisations or environments, • Advanced knowledge of Python concurrency, including the Global Interpreter Lock (GIL), multithreading, multiprocessing, and asyncio, • Strong grasp of type hinting, generators, iterators, and Pythonic loop constructs, • Proven ability to design RESTful APIs for high-throughput, low-latency systems, • Experience with unit testing, integration testing, and test automation frameworks, • Solid understanding of PostgreSQL, Redis, and message queues (e.g., Celery, RabbitMQ) Desirable: • Exposure to containerized environments (Docker, Kubernetes) and CI/CD workflows, • Familiarity with data pipelines and integration with AI/ML models, • Contributions to open-source projects or Python/Django communities

Senior Python Software Engineer Permanent | UK Remote + Travel We’re hiring a Senior Python Software Engineer to join a globally distributed engineering team working on cutting-edge AI-driven digital solutions for major enterprise organisations. This is a permanent, full-time position for UK-based candidates. While the role is primarily remote, it involves regular travel to client sites across the UK and Europe, with all travel expenses covered. About the Company They are a globally distributed team of engineers, data specialists, and designers focused on building modern digital platforms and intelligent software solutions for enterprise clients. Their teams partner with organisations to modernise legacy systems, develop innovative digital products, and implement AI-powered technologies that deliver real business impact. We pride ourselves on combining deep technical expertise with a collaborative, people-first approach to engineering. With a presence across multiple countries, our engineers work closely with clients to solve complex technical challenges and deliver scalable, high-performance applications used by millions of users worldwide. The Role • As a Senior Python Engineer, you will play a key role in designing and building scalable applications, often incorporating modern AI frameworks and data-driven technologies, • You’ll work alongside experienced engineers, architects, and client stakeholders to deliver robust solutions in fast-moving project environments, • This role suits someone who enjoys technical ownership, solving complex problems, and collaborating closely with both internal teams and client organisations Key Responsibilities • Design, develop, and maintain Python-based applications, • Contribute to technical design, architecture, and engineering best practices, • Build scalable data storage and processing solutions, • Optimise application performance for speed, scalability, and reliability, • Translate complex business requirements into technical solutions, • Collaborate with engineers, technical leads, and client teams, • Contribute to source control, build, and deployment standards, • Gather feedback from stakeholders and continuously improve solutions, • Support project delivery alongside technical leadership What We’re Looking For • 8+ years of commercial software engineering experience, • Strong expertise in Python and modern AI frameworks, • Experience building AI-powered applications or working with agent-based frameworks (e.g., LangGraph, Agentspace, or similar), • Strong understanding of Git and version control workflows, • Experience with unit, integration, and end-to-end testing, • Hands-on experience with cloud platforms and database technologies, • Familiarity with CI/CD pipelines and automation practices Nice to Have • Experience with Golang, • Frontend experience with React, • Knowledge or hands-on experience with Kubernetes Please note: visa sponsorship is not available for this role. If this role sounds of interest please apply asap with your most recent CV.

AI & Technical Business Coach Salary: £40,000 – £45,000 Location: Remote / Hybrid (London or Manchester — 4 days in office per year) Contract: Permanent, Full-Time (37.5 hrs/week) The Role A fast-growing apprenticeship training provider is looking for an experienced AI & Technical Business Coach to join their IT and digital delivery team. This is a predominantly remote, one-to-one coaching role supporting apprentices through Software Development, Data Analysis, and AI-focused apprenticeship standards. You'll guide learners in applying real AI tools, automation, and data-driven technologies in live business environments — helping them build genuine capability alongside their portfolio evidence and EPA readiness. This isn't a classroom role. It's a coaching position for someone who knows their stuff technically and can translate that into structured, impactful apprenticeship delivery. What You'll Be Doing • Delivering structured coaching across Software Development, Data Analysis, and AI apprenticeship programmes (L3–L7), • Supporting learners in applying Python, API integrations, data visualisation, generative AI, and automation tools to real workplace challenges, • Conducting progress reviews, professional discussions, and formative assessments aligned to apprenticeship standards and E...

Data Analyst Placement Programme no experience needed From £30,000 to £65,000 per annum Trainee Data Analyst £30,000£65,000 Job Programme This is a self-funded programme that leads to employment, fees apply. Job GuaranteeComplete the programme and get a job, or get your course fees back. Location:UK Wide (Remote Opportunities Available) Looking to start a career in Data Analysis? We are offering a structured pathway into Data Analysis, designed to help you enter the industry with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official CompTIA Data+ Certification, • Official BCS accredited Business Analysis Foundation Certification, • Training in Excel, SQL, Python, Power BI, and Tableau, • Professional CV and LinkedIn support, • Interview preparation, • Dedicated recruitment support until placed, • Personalised 1-1 tutor support Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the c...

Principal Security Engineer Location: Remote UK/Euro Reporting line: Chief Risk Officer About Auros Auros is a global digital asset liquidity provider operating 24/7 across centralised and decentralised markets. We run high-availability, low-latency systems where resilience and risk discipline matter. Security is treated as a core engineering and risk function, with direct engagement from senior leadership. The Role We're hiring a hands-on principal security engineer to implement and operate security controls across our infrastructure. This is a technical execution role where you'll be writing code, configuring systems, and shipping security improvements, not writing policies or managing people. You'll work closely with Infrastructure and Engineering teams to harden our cloud environments, secure our CI/CD pipelines, and protect both corporate and production systems. The scope is broad, the environment is fast-paced, and you'll be expected to own problems end-to-end. We believe security should enable the business, not obstruct it. You'll design controls that are effective but unobtrusive, security that works in the background without creating friction for engineers or traders. What You'll Do • Implement and maintain security controls across multi-cloud environments (primarily AWS, with some Azure, GCP and AliCloud) and on-prem infrastructure, • Own IAM strategy and implementation: design and enforce identity, access, and permissions models that are secure, scalable, and practical, • Design and operate key management and custody security controls such as HSMs, secrets management, and secure key handling for trading operations, • Harden CI/CD pipelines (GitLab) and secure the software delivery process, • Configure and operate corporate security tooling (endpoint protection, MDM/Jamf, DLP, identity management), • Respond to security incidents: triage, investigate, contain, remediate, • Conduct security assessments of infrastructure and applications, • Automate security operations: detection, alerting, and response, • Work with Infrastructure to embed security into cloud provisioning and system configuration What We're Looking For • 8+ years' hands-on experience in security engineering or security operations, • Strong, opinionated views on IAM (you've designed and implemented identity and access management across cloud environments and have a clear philosophy on how it should work), • Strong working knowledge of cloud security controls across multiple providers (AWS and Azure preferred), • Experience securing CI/CD platforms, GitLab preferred, • Familiarity with corporate IT security tooling (Jamf, endpoint protection, DLP, SSO/IdP), • Comfortable in Linux environments and scripting (Python, Bash, or similar), • Experience with infrastructure-as-code (Terraform, Pulumi etc.) is a plus, • Exposure to financial services, crypto, or other regulated environments is a plus but not required, • We value demonstrated skills and practical experience over certifications. What You Get • Direct ownership of security implementation, • A small, technical team where your work has immediate impact, • Exposure to low-latency trading infrastructure and the digital asset space

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

SENIOR DATA ENGINEER UK REMOTE £85,000 - £100,000 This is a rare opportunity to join a high growth, product led technology business at a pivotal stage of scale. You will play a hands on role shaping a modern data platform that supports real time decision making, working with large volumes of live data in a highly collaborative engineering environment. THE COMPANY They are a UK based digital business that has grown rapidly over the past decade and recently secured significant investment to accelerate their expansion. Known for a mobile first product and a strong focus on user experience, they have built a highly engaged customer base and strong brand recognition. As the business continues to scale, data sits at the heart of their growth strategy to support its fast user growth. THE ROLE You will join a data function and work closely with engineering leadership to evolve the data platform end to end. The role is highly hands on and focused on building robust, scalable solutions. • Designing and building data pipelines from application layer through to the warehouse, • Working with high volume, near real time data streams, • Developing and maintaining data models to support analytics and product use cases, • Improving engineering standards, testing practices and production readiness, • Contributing to the setup and management of multiple environments, including staging and production SKILLS AND EXPERIENCE Must have: • Strong commercial experience in data engineering with previous experience in software development/DevOps., • Previous experience or understanding of data modelling, • Strong Python, SQL and Terraform skills, • AWS services (GCP considered) Nice to have: • CI/CD, • Snowflake, • Dbt, • Iceberg, • Kimball/Datavault, • Git, • Dagster BENEFITS • The chance to help shape a growing data platform and engineering culture, • Clear progression opportunities as the data team continues to expand, • Exposure to complex, real world data challenges at scale, • Salary: up to £100,000, • Remote working Please note you must be UK based, and this role does NOT offer sponsorship.

Backend Engineer – Threat Intelligence & Data Operations Location: United Kingdom (Remote) Employment Type: Permanent About the Opportunity Join a fast-growing, venture-backed cybersecurity technology company building cutting-edge solutions in Threat Intelligence, Exposure Management, Vulnerability Research, and Automated Red Teaming. This is an opportunity to work on highly scalable backend systems that power global cyber threat detection, security automation, and intelligence operations. We are looking for a skilled Backend Engineer with strong expertise in Python, Django, Kubernetes, Celery, Cloud Infrastructure, and Data Pipelines to help scale high-throughput platforms that process massive volumes of real-time security telemetry and threat intelligence data. Key Responsibilities • Design, build, and scale high-performance Python/Django backend systems for Threat Intelligence operations, • Develop and optimize large-scale data ingestion and processing pipelines for security telemetry and vulnerability intelligence, • Implement scalable task orchestration using Celery, Kubernetes, and containerized microservices, • Integrate and operationalize LLM APIs (OpenAI, Anthropic, AI automation tools) to enhance cybersecurity workflows and intelligence gathering, • Build resilient backend infrastructure with strong focus on performance, monitoring, logging, reliability, and uptime, • Deploy and maintain systems within AWS, Azure, or GCP cloud environments using modern CI/CD pipelines, • Enhance search, indexing, and analytics capabilities using Elasticsearch/OpenSearch, • Collaborate with security researchers, engineers, and platform teams to automate and scale Threat Intelligence operations Required Skills & Experience • 3–6 years of experience in Backend Engineering or Software Engineering, • Strong programming expertise in Python and Django Framework, • Experience building scalable backend architectures in high-growth or fast-paced environments, • Hands-on experience with Kubernetes, Docker, Celery, CI/CD pipelines, and Cloud Infrastructure, • Experience working with Threat Intelligence, Cybersecurity Platforms, Security Data, or Vulnerability Management systems, • Strong understanding of data pipelines, distributed systems, and real-time data processing, • Experience with Elasticsearch/OpenSearch for search and analytics platforms, • Exposure to LLM integrations, AI-powered automation, or OpenAI/Anthropic APIs, • Familiarity with AWS, Azure, or GCP cloud ecosystems, • Strong problem-solving skills with an ownership-driven startup mindset Python, Django, Backend Engineering, Cybersecurity, Threat Intelligence, Kubernetes, Docker, Celery, Elasticsearch, OpenSearch, AWS, Azure, GCP, CI/CD, Data Pipelines, LLM, OpenAI, Anthropic, AI Automation, Vulnerability Management, Security Operations, Cloud Infrastructure, Distributed Systems, Red Teaming, Exposure Management.

Contract AI Engineer | Outside IR35 | Agentic AI / LLMs / RAG Conquer AI is hiring a Contract AI Engineer We’re looking for a highly capable, hands-on AI Engineer with a strong traditional software engineering background and deep applied AI experience. This is an Outside IR35 contract working on greenfield AI projects for enterprise clients. You’ll be helping design and build real-world systems using LLMs, RAG, vector databases, agentic AI, and workflow automation. This is not a research-only role. We need someone who can build production-grade systems, integrate with existing platforms, and move quickly from problem definition to working software. What you’ll be working on: Agentic AI workflow automation LLM-powered applications RAG and knowledge systems Vector database architecture and retrieval pipelines Document intelligence and information extraction AI systems that connect into business workflows API integrations and backend services Greenfield client projects and internal Conquer AI product work Core skills we’re looking for: Strong machine learning experience Strong traditional software engineering background Python Node.js TypeScript LLMs RAG Vector databases Agentic AI systems Workflow automation API integrations Backend engineering You’ll be a strong fit if you: Have built real AI systems beyond prototypes Can design and ship reliable backend services Understand retrieval, ranking, chunking, embeddings, and evaluation Have experience integrating LLMs into business workflows Can work with ambiguity and move quickly Are comfortable working with client-facing teams Can turn vague business problems into working technical solutions Care about practical delivery, not just experimentation Nice to have: Experience with AWS, Azure, or GCP Experience with LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, or similar Experience with Pinecone, Weaviate, Qdrant, Chroma, pgvector, or similar Experience with document processing, OCR, structured extraction, or enterprise search Experience in consulting, enterprise delivery, SaaS, or startup environments About Conquer AI Conquer AI builds bespoke agentic AI systems for enterprise clients. We work with clients to understand their workflows, identify where AI can automate or augment work, and build practical systems that operate inside their existing environment. Our work spans document intelligence, workflow automation, knowledge retrieval, operational copilots, AI agents, data extraction, and enterprise integrations. Contract: Outside IR35 Location: UK-based preferred Working style: Hybrid / remote, with occasional client or team sessions Start: ASAP Engagement: Contract If you’re a strong software engineer with serious applied AI experience and you want to work on meaningful agentic AI systems, we’d like to speak with you.

Lead Machine Learning Engineer 12 Month FTC Remote UK, up to £90,000, 12 month fixed term contract This is a rare opportunity to take ownership of machine learning delivery in a business that is actively investing in AI and moving from proof of concept into production. You will play a pivotal role in shaping how advanced ML and generative AI solutions are engineered, deployed and scaled, with genuine scope for the role to become permanent. The Company They are a large, well established UK organisation operating in a highly regulated, information rich environment. With thousands of colleagues nationwide, they combine deep domain expertise with a strong focus on people, quality and long term outcomes. Data and AI are now a strategic priority, with senior backing to build robust, production grade ML capability. The Role • Lead the engineering and productionisation of machine learning and generative AI solutions., • Build and operate end to end ML pipelines, including data preparation, model deployment, monitoring and governance., • Work closely with data scientists and data engineers to turn experiments and POCs into scalable, reliable services., • Develop solutions for large scale unstructured data, including complex document processing and LLM ready data pipelines., • Own MLOps practices, covering CI/CD, model serving, observability and lifecycle management., • Provide hands on technical leadership, contributing to architecture decisions and best practice., • Act as a delivery focused partner to stakeholders, confidently explaining trade offs and recommendations. Your Skills & Experience • Strong commercial experience as an ML Engineer or MLOps focused engineer, ideally with a software engineering background., • Proven ability to deploy, operate and maintain machine learning systems in production., • Hands on experience with cloud based data and ML platforms, particularly on Azure., • Solid knowledge of Databricks and modern data engineering concepts such as lakehouse architectures., • Experience preparing data and pipelines for LLM based use cases and NLP workloads., • Strong Python skills, with experience building APIs or services, for example using FastAPI., • Confidence working across the full delivery lifecycle, from design through to monitoring and optimisation., • Clear communication skills and comfort working directly with non technical stakeholders. What They Offer • Excellent work life balance and a supportive, collaborative culture., • The chance to shape ML engineering standards and capability from the ground up., • Strong potential for the role to become permanent, with future people leadership opportunities. How to Apply If you are an experienced ML Engineer looking for a hands on role with real influence and long term potential, apply now to find out more.

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 Aveni is building next-generation AI systems for UK financial services, where safety, compliance, and trust are non-negotiable. We're hiring a Senior Software Engineer to work on AI and agentic platform capabilities that power intelligent, automated workflows for financial services. This is a high-impact role building foundational technology that underpins Aveni's AI-first strategy. Your work will focus on: You'll work on systems that govern how AI agents behave in regulated financial contexts, designing and implementing policy enforcement, safety controls, behavioural monitoring, and evaluation frameworks. This work sits at the intersection of platform engineering, AI/ML systems, and compliance-by-design architecture. You'll be joining at a pivotal moment as Aveni scales from startup to enterprise-grade AI FinTech, working on problems that matter: making AI safe, auditable, and trustworthy in high-stakes financial environments. What You’ll Be Doing Build Production-Grade Systems • Design and implement scalable Python services powering AI-driven workflows, • Develop resilient, observable systems with strong error handling and compliance traceability, • Work within a serverless, event-driven AWS architecture Own Delivery End-to-End • Take ownership of features from design through to production, • Collaborate with Product, AI Platform, and Compliance teams, • Contribute to sprint planning, estimation, and delivery Shape AI & Agentic Systems • Build intelligent workflows using LLMs and agentic architectures, • Integrate AI models into production systems, • Design guardrails, policy enforcement, and behavioural monitoring for AI agents Mentor & Elevate the Team • Support and guide junior and mid-level engineers, • Lead code reviews and promote engineering best practices, • Contribute to documentation, demos, and knowledge sharing Drive AI-Augmented Engineering • Use AI coding tools to accelerate development and improve quality, • Help define best practices for AI-assisted software engineering What We’re Looking For Must Have • Strong Python expertise in production environments, • Experience building cloud-native systems on AWS (Lambda, DynamoDB, S3, EventBridge), • Experience working with LLMs or AI/ML systems, • Strong understanding of APIs, async systems, and scalable architecture Nice to Have • Experience with AI safety, guardrails, or policy enforcement, • Background in agentic systems or autonomous workflows, • Experience in financial services or regulated environments, • Familiarity with Node.js / TypeScript, Terraform or CDK, • Knowledge of observability tools and ML fundamentals You’ll Thrive If You Are • Pragmatic and able to balance speed with long-term quality, • Curious about AI, especially safety and responsible usage, • Comfortable working in a fast-moving scale-up environment, • A strong communicator who can explain complex ideas clearly, • Passionate about mentoring and raising team standards Career Growth This role offers a clear path into Staff or Lead Engineer positions, where you’ll: • Drive architectural decisions across multiple teams, • Own complex, cross-cutting AI systems, • Shape Aveni’s long-term AI platform strategy Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We’ve built our business to ensure an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you’re passionate about technology and its ability to drive positive change for the future of financial services, we’d love to hear from you. Even if you don’t meet 100% of requirements, we’d like to hear from you anyway if you believe you’d fit in. Apply now to join us on our mission to transform the financial services industry through AI. Benefits at Aveni. What you’ll love: • Remote-first working across the UK, • Work abroad policy, • Co-working spaces available, • 34 days holiday (including flexible bank holidays) and your birthday off, • Company-wide off-sites, • Optional Personal Development Plan, • Flexible benefits platform, • Protection essentials including Life Insurance, Income Protection, Critical Illness cover, and Pension (up to 5% matched employer contribution with optional increased contributions), • Private health and dental care, • Potential share options, • Enhanced family leave

Moodsonic uses sound to improve how indoor spaces feel. Our platform delivers adaptive soundscapes for workplaces, hospitals, universities, and other shared environments shaping daily life, integrating with hardware, building systems, and an array of applications to respond dynamically to activity levels, time of day, environmental sensors, and user input. The work sits at the intersection of audio, real-time systems, and human experience. The role We are hiring a Senior Software Engineer to own the backend that the entire product stack sits on: services, data layer, identity and authentication infrastructure, partner-facing integration APIs, device communication, and the security posture. You will own, evolve, and build the systems that power our internal tooling, customer-facing applications, partner integrations, and hardware deployments, strengthening what is already in production and shipping what comes next. You will be the technical lead on production engineering, security, and code quality, building on the foundations the team has put in place. As Moodsonic scales, you will keep the platform safe, reliable, and defensible. You are joining a team where colleagues hold deep domain knowledge. You will need to build trust, collaborate well, and lead through influence rather than authority. This is not a management role. The platform is live and growing quickly, with real customers and real consequences. What you'll work on In your first six to twelve months: • Own and evolve the backend platform: services, data layer, infrastructure, APIs. Strengthen what is in production today, design what is missing, and build what comes next, • Own the backend side of how our deployed hardware connects to the platform: ingestion, device authentication, fleet management, and remote provisioning. Visibility and input into on-device code decisions, because device security is platform security, • Own the identity, authentication, and account layer of the platform, • Own and operate our data protection posture across the platform: encryption in transit and at rest, key management, data lifecycle, and recovery, • Own the partner-facing integration APIs end to end, from design through operation. These are the surfaces our customers and hardware partners build against, and their reliability is our reputation, • Own the engineering practices that support our certifications and audit-readiness, • Establish and maintain the engineering standards (testing, review, deployment, monitoring, secure coding) that the team operates by, • Partner with the engineers owning the audio engine and frontend surface on the backend contracts their work depends on What we are looking for Required: • 5+ years shipping and operating production backend systems, including time on-call and in incident response. You know what it feels like when something breaks at 2am and you own the fix, • Operational resilience as a habit: you design for failure, build with recovery in mind, and treat incident learning as a driver of engineering quality, • Strong judgment in small-team environments. You have owned quality yourself rather than inheriting it from process. You can take high-level product, customer, or security needs and turn them into practical technical plans without a big PM or architecture layer handing you a spec, • Deep relational data modeling and schema design. Postgres or equivalent as a daily tool. Strong instincts for migrations, indexing, and query performance under load, • API design experience: you have built and maintained APIs that outlived their first version and you have opinions about versioning, compatibility, and contract discipline, • Identity and authentication systems experience: modern identity protocols (OAuth or similar), session management, role-based access, multi-tenant boundaries. You understand what breaks when these are wrong, • Security mindset in practice, not theory. You think about attack surface, threat models, and access control as a matter of course, with working knowledge of cryptography and data protection fundamentals, • Code quality and observability as habits. Tests, substantive review, documentation, and the instinct to measure how software behaves in production are part of doing the work, not chores after it, • Strong Python for backend services. Comfortable with SQL, Docker, at least one major cloud, infrastructure as code (Terraform, Pulumi, or equivalent), and modern CI/CD practices, • Modern AI development tools are part of how you ship. You stay current as they evolve, adopt what adds value, and use AI to go faster on work you already understand, which is why you catch AI mistakes before they become bugs, • Demonstrated technical leadership through influence, not authority: you raise the bar through code review, standards, and example, and you have earned trust from engineers who were there before you, • Pride in craft, proactive risk-flagging, and the instinct to raise quality bars rather than work around them. Intellectual honesty and the willingness to push back when the right answer is unpopular, • Clear written and verbal communication, particularly when working asynchronously across time zones Valued: • Designing systems that interface with deployed hardware: device fleets, provisioning flows, secure OTA updates, telemetry ingestion, • Shipping to enterprise customers, incident response commitments, and contractual security obligations, • Experience inside a compliance-driven environment (SOC 2, ISO 27001, HIPAA, or equivalent) or building for auditability as a default, • Kubernetes and modern container orchestration, • Additional backend language fluency (Node or TypeScript, Go, Rust) for polyglot service work, • Audio, signal processing, or real-time systems background, • AI and machine learning in product contexts: audio generation, personalization engines, training and serving pipelines Not required but welcome: • Interest in sound, music, acoustics, or the wellbeing applications of audio Team and how we work You will join a small, senior team distributed across the UK, Europe, and the US West Coast. We run a weekly product cadence, work asynchronously by default, and rely on clear written communication to stay aligned across time zones. Compensation and benefits Base salary £65,000 to £85,000, calibrated to experience. Equity will be a material part of the package. Benefits include private medical insurance for UK employees, 28 days paid holiday inclusive of UK holidays, flexible remote-first working. UK right to work is required. How to apply Send a short note, your CV, and links to work you are proud of. Please include three to five sentences on a production system, API, identity/auth, or platform hardening project you owned.

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

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

Senior Software Engineer (C++) 📍 Remote (UK / Europe) 🏦 High-Performance Trading Systems 💰 Up to £180k + bonus + equity We’re hiring a Senior C++ Engineer to work on the systems that sit at the heart of a global trading platform. This is a backend, systems-focused role centred around performance-critical engineering — building the infrastructure that enables fast, reliable, and secure execution at scale. 🚀 The Role You’ll be working on the core framework and performance-critical components that underpin the trading engine. Your responsibilities will include: • Designing and building low-level systems that support high-frequency transaction processing, • Developing robust, reusable components used across the trading platform, • Engineering for low latency, high throughput, and system resilience, • Working on concurrent and distributed systems operating under real production load, • Identifying and resolving bottlenecks across CPU, memory, and network layers, • Writing efficient, maintainable, and well-tested C++ code, • Partnering with cross-functional teams to deliver scalable technical solutions 🧠 What They’re Looking For • Strong experience building production systems in C++, • Background working on high-performance, low-latency, or high-throughput systems, • Solid understanding of multithreading, concurrency, and memory management, • Experience working in Linux-based environments, • Familiarity with distributed systems or large-scale architectures, • Experience with performance tuning and profiling at system level, • Exposure to other languages (e.g. Python, Java, SQL) is beneficial, • Interest in trading systems, financial infrastructure, or market mechanics is a plus, • Comfortable operating in a fast-paced, delivery-focused environment 🌍 Why This Role • Strong comp (including bonus & equity), • Opportunity to solve complex, performance-driven engineering problems, • High ownership culture, • Remote-first setup with a globally distributed team

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.

Iron Mountain is seeking a skilled and experienced Desktop Systems Engineer to join our Information Technology team. In this role, you will be responsible for the lifecycle management, compliance, functionality, and security of our Apple ecosystem and Windows endpoints, specifically covering macOS, iOS, and iPadOS devices. You will act as a subject matter expert, offering deep technical support, managing vulnerabilities, and driving the automated deployment and maintenance of our Mac fleet to ensure an exceptional user experience. What You'll Do (Responsibilities) In this role, you will: • Endpoint Lifecycle & Configuration Management: Manage the entire software and hardware lifecycle for Apple devices. This includes designing and maintaining a zero-touch deployment strategy using Apple Business Manager and Kandji, building custom software packages (.pkg, .dmg), and curating a Self-Service application catalog., • Vulnerability, Patching & Compliance: Proactively manage security vulnerabilities, system hardening (CIS benchmarks), and operating system/application patching across the Mac fleet in line with company SLAs to ensure minimal disruption to users., • Automation & Infrastructure Support: Utilize scripting languages (Bash, Zsh, Python) to automate repetitive tasks and streamline processes. Collaborate with the global team to optimize our MDM infrastructure (Kandji) and oversee Managed Apple IDs., • Technical Support & Troubleshooting: Diagnose, track, and resolve complex performance and compatibility issues across macOS platforms. Provide prompt, expert support via ticket queues within established SLAs, and escalate issues with partners like Apple as needed., • Cross-Platform & Secure Environment Support: Provide similar systems engineering support for Windows devices and operate effectively in secure environments requiring security clearance. What You'll Bring (Skills & Qualifications) The ideal candidate will have: • Professional Experience: relevant experience as a Systems Engineer alongside of experience as a Support Engineer, preferably within a large corporate environment managing a large fleet (1000+) of Mac devices., • Technical & MDM Expertise: In-depth knowledge of macOS, iOS, and iPadOS system internals. Hands-on experience with modern MDM solutions is required, with expert-level knowledge of Kandji highly preferred (experience with Jamf Pro or Workspace ONE is also valuable)., • Tools & Automation: Strong scripting skills for automation using Bash, Zsh, and/or Python. Practical experience with Apple Business Manager (ADE/DEP, VPP), Tanium management tools, and ITSM platforms like ServiceNow., • Problem-Solving & Collaboration: Proven ability as an innovative thinker and creative problem-solver who can build effective working relationships within a global, collaborative team environment., • Education & Certifications: A Bachelor’s degree or equivalent experience (Apple Certifications are highly valued). Non-traditional and neurodiversity learners and thinkers are warmly welcome., • Security & Communication Requirements: Excellent written and oral communication skills in English. Candidates must be eligible or approved for UK Government security clearance. What We Offer (Benefits) • Location: 100% Remote (UK-based). Candidates must be located in the UK and maintain the flexibility to travel to Iron Mountain Warehouses or Offices if specific project requirements arise., • Compensation: Competitive compensation and benefits aligned with your professional experience., • Work-Life Balance: Flexible work options to support a healthy work-life balance alongside paid time off and holiday allowances., • Health & Wellness: Comprehensive health, wellness, and retirement plans., • Career Growth: Continuous learning opportunities and pathways for professional development within a global organization.

Principal AI/ML Engineer - Technical Lead Manchester, UK (Hybrid or Remote) I’m currently partnering with a highly innovative AI company building advanced Computer Vision and visual intelligence technology deployed at global scale. This is not a research-only role or a position focused on experimenting in isolation. The company is looking for someone who can take ownership of the entire AI production lifecycle - from raw data collection and training pipelines through to robust, production-ready models operating in demanding environments. The role is ideal for someone who combines deep technical expertise with a hands-on approach to engineering and leadership. The Opportunity You will lead the design and evolution of the company’s AI production pipeline, covering data ingestion, organisation, annotation strategy, model training, validation, optimisation, deployment, and monitoring. The focus is on building industrial-grade Computer Vision systems that perform reliably outside the lab - with real constraints around latency, scalability, reliability, and throughput. You’ll work closely with Engineering, Product, and AI teams to ensure research and technical innovation translate directly into commercial impact. This role also comes with significant influence internally. You’ll have the autonomy to help shape the structure, standards, and direction of the AI/ML function, while hiring and developing a high-performing international team. Key Responsibilities • Own and scale the end-to-end AI/ML production lifecycle, • Build high-performance Computer Vision systems for production deployment, • Drive development across Object Detection, Segmentation, Tracking, and Transformer-based architectures, • Define standards across MLOps, model quality, deployment, monitoring, and engineering best practice, • Improve the speed and efficiency of taking models from raw data to production, • Work cross-functionally with Product and Engineering teams on long-term technical strategy, • Hire, mentor, and grow AI/ML engineering teams across multiple locations, • Establish scalable team structures, workflows, and delivery processes within an Agile environment Requirements • Proven track record delivering ML or Computer Vision products into production at scale, • Strong expertise across modern Computer Vision techniques and deep learning architectures, • Excellent Python and C++ engineering skills, • Experience optimising training and inference pipelines for real-world deployment, • Strong systems and engineering mindset alongside deep ML knowledge, • Previous experience leading technical teams while remaining hands-on, • MSc or PhD in Computer Science, Machine Learning, or a related field preferred The company offers a strong engineering culture, high levels of technical ownership, and the opportunity to work on difficult AI problems with direct real-world impact. If you are interested in applying, please apply through the link

Metric have partnered with a leading quantum technology company developing next-generation computing systems. They’re hiring a Quantum Software Engineer to turn cutting-edge quantum research into practical, executable software. Location - London, UK (Hybrid or Remote) You’ll design and implement quantum algorithms across simulation, optimisation, and hybrid quantum-classical workflows, working closely with hardware and compiler teams to ensure efficient performance on real devices. RESPONSIBILITIES: • Develop and optimise quantum algorithms and applications, • Build scalable, production-grade quantum software, • Collaborate with cross-functional teams (hardware, research, engineering), • Deploy and improve software on cloud-based platforms, • Support users and contribute to technical projects REQUIREMENTS: • Master’s degree in a relevant field, • Strong Python and software engineering skills, • Experience with quantum frameworks (e.g. Cirq, Qiskit), • Ability to work in collaborative, fast-paced environments DESIRABLE: • PhD in a related field, • Knowledge of quantum computing concepts (e.g. error correction, VQAs), • Experience with cloud, backend systems, or CI/CD tools If this sounds like you... apply today!

📍 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!

Role: Analytics Engineer REMOTE Salary: £60,000 - £75,000 (dependent on experience) Insight into the Company: This organisation is a large telecoms organisation that is looking to change the industry through their flexible approach! As an Analytics Engineer on their team, you will work to build the customer data platform. The ideal candidate will be a team-player, working in a team of 10, working with and supporting different data workstreams. You will have strong communication skills to work within the team and also with stakeholders. The role will involve improving existing models to ensure they are efficient and scaled. Role and Responsibilities: • You will ingest and transform data in snowflake using DBT, • You will support the building of the data warehouse in Snowflake, • You will work to sustain and implement existing ELT pipelines Skills and Experience: • Essential to have 3+ years experience in:, • SQL, • Python, • DBT, • Cloud techs such as Snowflake, BigQuery or Databricks, • Dimensional Modelling such as Kimball, • Desirable to have experience with:, • CI/CD pipelines, • Kafka; real-time streaming, • Snowflake as a data warehouse Interview Process: There are 4 stages to the process: • A 30 minute discussion about experience, • An hour take home exercise, • A technical interview with the Data Director and Analytics Engineer

Senior Data Engineer Remote UK, £90,000 to £100,000 This is an opportunity to join a fast scaling, digital first consumer platform at a pivotal point in its data journey. They are investing heavily in their data infrastructure and are building a high performing, software led data engineering team to support real time, high volume analytics across the business. You will have genuine influence over how data engineering is done, working on modern tooling and best practice from day one. The Company They are a UK based, consumer facing digital platform operating in a highly regulated online environment. Since launching less than a decade ago, the business has grown rapidly, supported by significant recent funding and a strong focus on product, user experience and responsible engagement. Data is central to their growth strategy, and they are building a modern, scalable analytics platform to support this ambition. The team operates fully remotely across the UK and Europe. The Role • Design, build and own end to end data pipelines supporting real time and batch analytics, • Work on high volume, low latency data use cases with a strong focus on reliability and scalability, • Develop production grade data solutions using software engineering best practices such as CI/CD, testing and version control, • Contribute to the design of data models and analytics layers used across the business, • Help implement and mature staging, testing and deployment processes across the data platform, • Collaborate closely with analytics, product and engineering teams to enable better decision making Your Skills and Experience • Strong commercial experience as a data engineer in modern, cloud based environments, • Advanced Python and SQL, with experience using PySpark or similar distributed processing frameworks, • Experience building and maintaining data pipelines in AWS using services such as S3, Glue or EKS, • Hands on experience with modern analytics stacks such as Snowflake, dbt and Iceberg, • Familiarity with orchestration tools such as Dagster or Airflow, • Strong understanding of data modelling concepts and analytics best practice, • A software engineering mindset, including Git, testing and CI/CD workflows What They Offer • The chance to help shape a growing data platform and engineering culture, • Clear progression opportunities as the data team continues to expand, • Exposure to complex, real world data challenges at scale How to Apply If you are a Senior Data Engineer looking to make a real impact in a growing, product led business, apply now to learn more about the opportunity.

Job Title: Senior Network Security Engineer Location: Remote working, but with occasional meetups in London/Surrey This is a hands‑on role at an early-stage tech company that’s building an AI‑powered cybersecurity platform for small and mid‑sized businesses and the MSPs that serve them. The product combines a plug‑and‑protect network device, a mobile app and a unified portal to deliver enterprise-grade continuous network monitoring, automated vulnerability detection and AI-guided remediation. Their Software Engineers have built a lot already. Now they need a Network Specialist to evaluate it, test it, break it, fix it and help raise the security and reliability bar across the stack. If you enjoy picking up complex systems, understanding how they behave and making them better, you’ll fit in well. The role: This is a senior role in a small team so you will need to work hands-on in multiple areas of the tech stack, requiring a depth of core networking and security knowledge, ideally along with the ability to lead others as the team grows. You will be evaluating, rules checking, testing, security testing and troubleshooting multiple device resident backend and frontend systems. You will pick up these critical systems, evaluate them and help make them as functional, secure and reliable as possible. Their solution bundles the following cybersecurity tools: • On device: Network SYN scan detection; SMB Honeypot; Scheduled network scans via embedded nmap; Sinkhole DNS server with automated domain inspection pipeline., • Network Device fingerprinting, • LLM guardrails system, including AI/ML prompt poison detection, • Public IP address scanning leveraging automated VPN tunnels, • Web admin portal (React and Node.js), • Proprietary SNMPv3 agent (Golang) reporting Windows, Mac and Linux stats, • Small business website spider inspector to assess exposure details, • CVE ticket sub-system enriching the CVE with LLMs for summary and remedy playbook, • Small business associated domain monitoring for reputation / clone analysis You don’t need to be an expert in every one of these areas, but you should have knowledge and be comfortable working across this technical landscape. What you need to bring: • Strong understanding of CVEs and the surrounding ecosystem and tools, • Deep networking knowledge across TCP/IP, DNS, DHCP, routers, firewalls, VPNs, NAT, subnets etc, • Understanding of on‑prem and cloud infrastructure network security, • Scripting skills such as Python or Bash, • Experience in testing, troubleshooting and diagnosing operations of devices and hosts on networks • Penetration testing of APIs and network services, • Linux and Ubuntu networking experience, • Familiarity with network scanning tools such as nmap, • Knowledge of cybersec frameworks like MITRE It’s helpful (but not required) if you also know: • Website architecture and security, • Microsoft Windows networking, • Test tools / frameworks, • Software engineering and architecture, with a preference for any experience coding in Python/Django, C/C++ or similar • Comfortable using AI coding tools such as Claude Code Why this role matters You’ll be joining early enough to shape how the product evolves and how the engineering culture develops, along with meaningful stock options. There’s no bureaucracy and no layers of management. Just meaningful problems to solve, systems that need improving and a team that wants someone who can take the lead where it’s needed. If you prefer hands‑on engineering over slide decks and are comfortable working in a fast-paced, ambitious startup environment, this could be the right move for you.

Head of AI • Global infrastructure & engineering group, • Location: London / Remote (UK), • £140-180k A globally recognised engineering and infrastructure business is hiring a Head of AI to build and lead its AI capability from the ground up. Operating across multiple continents and delivering complex, high-impact projects, the organisation is now investing heavily in AI, modern engineering practices, and governance as part of its next phase of transformation. This is a senior, high-impact role sitting within the IT leadership team, with a clear mandate to define AI strategy, introduce governance, and scale a capability with significant long-term investment behind it. What you’ll do • Define and deliver the organisation’s AI strategy and governance framework, • Build and scale a high-performing AI & engineering capability (incl. 3rd party teams), • Embed security-by-design principles across AI and software development, • Bridge the gap between technical teams and business leadership, • Drive adoption of modern platforms, tools, and engineering standards What I’m looking for: • Strong software or data engineering background with a hands-on edge, • Experience operating in large, complex, or global environments, • Proven ability to lead teams and influence at senior/executive level, • Track record delivering AI or advanced data solutions in production, • Strong communicator, able to translate technical concepts into clear business value, • Experience with Azure, Python This role suits someone who enjoys building from scratch, operating with autonomy, and delivering tangible impact in a fast-moving environment. If this sounds of interest, please apply with your CV to find out more! Head of AI

Do you want to productionise end-to-end enterprise GenAI systems? Have you built scalable ML platforms and MLOps infrastructure in production? Are you ready to establish ML Engineering capability inside a business heavily investing in AI? A large UK professional services organisation is building out its ML Engineering capability and hiring a Lead Machine Learning Engineer to help shape the function from the ground up. This is a hands-on role focused on production AI systems, MLOps, cloud ML infrastructure, and enterprise GenAI deployment. Current projects include large-scale document AI workflows using LLMs to process and structure complex documents. Key responsibilities: • Productionise LLM and GenAI systems, • Build scalable MLOps and deployment pipelines, • Develop AI infrastructure in Azure and Databricks, • Create data pipelines for enterprise AI workflows, • Work closely with DS teams and business stakeholders Key details: • £90k + ~10% bonus, • Essentially remote across the UK, • 35-hour week with flexible hours, • Stack: Azure ML, AI Foundry, Databricks, Python, FastAPI, • 12-month FTC with strong chance of permanent conversion, • Cannot sponsor Requirements: • 7+ years across MLE/MLOps/Data Engineering/SWE, • Production ML deployment experience, • LLM/NLP/GenAI exposure, • Strong stakeholder management and independent delivery skills Interested? Please apply below.

Looking for A senior engineering leader who can build and scale Triple’s Forward Deployment Engineering function from the ground up. You will define how we integrate AI agents into the core systems of major banks, set the technical standard for every deployment, and grow a team of FDEs who deliver at the intersection of engineering and client success. About Triple Triple is building the intelligence platform for banking operations. We’re starting by solving one of the most painful problems in payments: dispute and chargeback management. Our AI agents automate the dispute workflows for card issuers, from intake and classification through evidence evaluation and scheme submission to Mastercard and Visa. We are also the leading transaction enrichment engine, trusted by 60+ banks and fintechs across 30+ markets. We have raised $10M in funding, an experienced team, and a large network of investors behind our company. We value getting things done. What you will do • Build and lead the Forward Deployment Engineering team: hire, mentor, and set the technical bar for engineers who work directly inside bank environments, • Define the integration architecture and reusable frameworks that allow Triple’s AI agents to connect with any core banking system, card processor, or dispute platform, • Own the technical quality of every client integration, from secure API design and data pipeline reliability to compliance with bank-grade security requirements, • Create scalable deployment tooling, integration templates, and automation that reduce time-to-live for new clients from months to weeks, • Work hands-on with the most complex integrations, setting the example for the team and unblocking critical deployments personally when needed, • Partner with Product and Engineering leadership to translate integration patterns and client constraints into platform capabilities, • Establish processes for knowledge sharing across deployments so that every integration makes the next one faster What you need • 7+ years of software engineering experience, with at least 2 years leading or managing a technical team, • Deep experience integrating with enterprise systems in financial services, payments, or similarly regulated industries, • Strong proficiency in Python and SQL. Hands-on experience with API design, data pipelines, and infrastructure automation, • Track record of building engineering teams or functions from early stage, including hiring, process design, and technical culture, • Comfortable operating in complex bank environments with layered security, compliance requirements, and multiple stakeholders, • Pragmatic engineering judgment: you know when to build for reuse and when to ship fast for a specific client, • Excellent communication skills for both engineering peers and senior client stakeholders, • English fluency required. Additional European languages are a strong plus Conditions 100% remote work. Competitive salary, equity, and generous bonuses. Travel to client sites as needed. The chance to shape how the world’s largest banks run operations with AI. Join Triple and help us build the intelligence platform for banking operations. Please kindly apply through LinkedIn

Senior Data Journalist | Investigations, Data Validation & AI-Assisted Research | Up to £150k | Remote We’re hiring a Senior Data Journalist to work directly with senior stakeholders at a company building one of the world’s largest data platforms. This role is focused on uncovering insights from complex, messy real-world data, combining investigative thinking, validation, and technical analysis to surface meaningful stories, patterns, and risks. You’ll be working with large-scale global company and ownership datasets, helping interrogate, validate, and explain data that powers investigative research, AI systems, and commercial intelligence products. This is not a traditional newsroom role. It’s ideal for someone who enjoys digging into difficult datasets, questioning assumptions, validating findings, and using technology to support deep investigative work. What you’ll be doing: • Investigating and validating complex company and ownership data, • Working with messy, multi-source datasets to identify inconsistencies, anomalies, and hidden connections, • Using SQL and Python to analyse, clean, and interrogate data, • Applying investigative techniques across structured and unstructured information, • Collaborating with technical and non-technical stakeholders to turn findings into clear outputs, • Exploring how AI and LLM tools can support research, validation, and investigative workflows, • Helping improve how data is structured, interpreted, and trusted across the platform What they’re looking for: • Strong SQL and Python skills, • Background in data journalism, investigative research, OSINT, analytics, or data-focused reporting, • Experience working with complex or unreliable datasets, • Strong attention to detail and a sceptical, investigative mindset, • Someone who cares about accuracy, methodology, and real-world meaning behind the data, • Bonus: experience with corporate, financial, regulatory, risk, or ownership data Remote £100k–£150k Senior Data Journalist | Investigations, Data Validation & AI-Assisted Research | Up to £150k | Remote

Node.js Contractor – AI Tool Replatforming Remote | Outside IR35 | £450–500/day We are looking for an experienced Node.js contractor to help replatform and modernise an internally developed AI-driven data platform. The existing tool was rapidly developed by a member of the technical team using AI-assisted development tools and is currently running locally on a laptop environment. We now need an experienced engineer to rewrite/refactor the application into a secure, production-ready Node.js solution suitable for deployment within our server infrastructure. The Role You will take ownership of analysing the current Python-based application and rebuilding/refactoring it into a scalable and maintainable Node.js platform. The application: • Pulls data from multiple external sources including:, • RSS feeds, • Websites, • APIs, • Processes and stores data within a database, • Includes a front-end interface for displaying and interacting with the data A key part of the engagement will be ensuring the rebuilt platform is secure, robust, and capable of passing penetration/security testing. Required Skills & Experience • Strong commercial experience with Node.js, • Experience refactoring or rewriting existing applications, • Solid understanding of secure software engineering practices, • Experience building applications that integrate with APIs, web scraping, and data feeds, • Database design and integration experience, • Front-end development capability (React/Vue/modern JS frameworks beneficial), • Experience deploying applications into production server environments, • Understanding of authentication, security hardening, and application resilience, • Ability to work independently and make pragmatic architectural decisions Desirable • Previous experience working with AI/LLM-powered applications, • Python experience to help interpret the existing codebase, • Experience preparing systems for penetration testing/compliance review, • DevOps/cloud infrastructure experience Contract Details • Contract: Outside IR35, • Rate: £450–500 per day, • Location: Fully remote, • Start: ASAP, • Duration: Initially 10-12 weeks but potential for extension We’re looking for someone pragmatic, technically strong, and comfortable taking an early-stage internal tool and turning it into a secure, production-grade platform.

Position Overview: SBS is seeking a skilled AI Engineer to join its Data & AI / Engineering organization in the UK or EU. This role will focus on designing, building, and deploying AI-driven solutions that enhance SBS products and client offerings. The ideal candidate will combine strong software engineering fundamentals with applied AI/ML expertise, enabling the development of scalable, production-grade AI systems in a regulated financial services environment. Location: UK or EU Hybrid/Remote: Remote (Occasional travel required) Responsibilities: AI Solution Development • Design, build, and deploy AI/ML models and intelligent applications across SBS platforms, • Develop solutions leveraging:, • Machine Learning (ML), • Natural Language Processing (NLP), • Generative AI (GenAI / LLMs), • Translate business requirements into technical AI solutions that deliver measurable impact Model Deployment & MLOps • Implement and manage end-to-end ML pipelines, from data ingestion to model deployment and monitoring, • Collaborate with DevOps and engineering teams to ensure scalable, reliable production deployment, • Maintain and optimize model performance, accuracy, and efficiency over time Product Integration • Integrate AI capabilities into core banking, payments, and digital platforms, • Work closely with Product Managers, Architects, and Developers to embed AI into customer-facing solutions, • Support API development and microservices architecture for AI-driven features Data Engineering Collaboration • Partner with data engineers to ensure data quality, availability, and pipeline integrity, • Work with structured and unstructured datasets across large-scale, distributed systems Innovation & Continuous Improvement • Stay current with advancements in AI, GenAI, and emerging technologies, • Contribute to experimentation, prototyping, and innovation initiatives, • Identify opportunities to improve automation, efficiency, and decision-making through AI Qualifications: Software Architecture & Design • Application architecture: Strong grasp of clean/hexagonal architecture, dependency injection, SOLID principles, and protocol-based interfaces. Can design well-structured Python services with clear separation of concerns, testable components, and maintainable codebases. This is not optional — the existing system follows these patterns, and new code must be consistent., • API design: Experience designing and maintaining RESTful API contracts. Understands OpenAPI specifications, versioning strategies, schema evolution, and backward compatibility. Can own the API surface that internal consumers depend on., • System design: Distributed systems thinking — understands event-driven patterns, asynchronous communication, eventual consistency, and the trade-offs of different integration approaches. Can reason about how components interact across service boundaries., • Data modeling: Can design domain models, define data flows between system components, and make pragmatic schema design decisions. Understands how data structures affect downstream consumers and the system's evolution. AI & LLM Application Skills • LLM application development: Hands-on experience building production applications powered by LLMs. Must go beyond API calls — RAG pipelines, chain-of-thought reasoning, structured output parsing, multi-step workflows. Candidates who have only fine-tuned models or only called a single provider’s API do not qualify., • Model-agnostic design: This is a sovereign AI system. The candidate must design against standardized API interfaces (OpenAI-compatible, LiteLLM, or equivalent abstraction layers), not couple to any single provider. Must understand model routing, fallback strategies, and how to build systems that can swap underlying models without application-layer rewrites. Experience limited to a single commercial API (OpenAI, Google, Anthropic) without abstraction is insufficient., • Agentic system design: Demonstrated experience designing multi-step AI systems where the model makes decisions about what to do next. This could be via LangGraph, CrewAI, AutoGen, custom agent loops, or any framework — the underlying patterns (ReAct, plan-and-execute, reflection) matter more than the tool., • Prompt engineering depth: Can demonstrate iterative prompt development for complex tasks. Understands few-shot, chain-of-thought, XML/structured prompting, and the behavioral differences between model families and sizes. Critically, understands that prompt strategies must adapt when moving between frontier and smaller OSS models. Python Engineering Production Python: Strong async Python with FastAPI or equivalent framework. Comfortable with Pydantic for data validation, SQLAlchemy for data access, and structured logging (structlog). Writes clean, testable, well-documented code with proper type hints. This is a software engineering role that builds AI systems — not a data science role that happens to write Python. Safeguards for hallucinated tools, loops, partial completion, and unsafe actions. Understands async trade-offs, batching, streaming, and latency accumulation Engineering Qualities • Works within existing systems: The candidate joins a substantial existing codebase and architecture. They must be comfortable reading, understanding, and extending code they did not write — not lobbying to rewrite it., • Production mindset: Thinks about error handling, retry logic, graceful degradation, observability, and security as first-class concerns. Understands that agentic autonomy creates new failure modes that must be anticipated., • Clear communicator: Can explain technical trade-offs to non-technical stakeholders. Can write clear design documents. Can articulate why an agentic approach is or is not appropriate for a given problem. Company Overview At SBS, we’re more than just a technology company; we’re a global fintech partner helping banks and financial institutions transform, innovate, and grow. With over 5,000 employees worldwide and clients in more than 80 countries, our solutions power everything from digital banking and lending to payments and core banking systems. As part of 74Software, we’re backed by a group of leading software companies delivering mission-critical solutions worldwide. Our focus is on delivering long-term value, leveraging cutting-edge technology, and fostering strong client partnerships. Join us and be part of a collaborative, forward-thinking team shaping the future of finance. Why SBS? At SBS, we’re committed to supporting our employees in every aspect of their lives, from health and wellbeing to financial security and lifestyle perks. We offer benefits that help you thrive at work and beyond, including health coverage, retirement plans, paid time off, flexible work options, career development, competitive pay, and global culture perks. Equal Opportunity Employer We are committed to providing equal opportunities and ensuring a fair and inclusive recruitment process. We do not discriminate on the basis of age, disability, gender, sexual orientation, race, religion, or any other protected characteristic.

Senior Founding Software Engineer (tech lead), Eye-Health Platform Location: Remote (UK-based preferred) Reporting to: CEO (Dhruvin Patel) Business: Ocushield: UK eye-health business with consumer products and a digital screening platform serving cash plans, insurers and corporate partners About Ocushield Ocushield is a UK eye-health business building both physical products and a digital eye-screening platform. We were founded by practising optometrists who saw a generation of people developing eye strain, fatigue and reduced focus earlier in life, driven by unprecedented screen use at work and at home. Today we sit at the intersection of health, performance and modern work. Alongside our profitable direct-to-consumer business, we work with cash plans, insurers and direct corporate customers who see eye health as the next frontier of workplace wellbeing. Our consumer business is profitable and our digital ARR is growing, with active commercial conversations underway with major UK health and insurance partners. We are now replatforming our digital screening product from a low-code tool to a native, data-centric platform. The tech lead, leads that work. The role You will lead the technical replatform of our digital eye-screening product to a native, data-centric platform. This is greenfield architecture from someone who has done it before. You will be hands-on coding, setting the architecture, working with a contractor who maintains the existing build, and shaping the engineering function as we grow. You will work directly with the founder and our clinical lead, Dr. Raj Kohli. This is not a co-ordination role. We are looking for a senior builder who can set the technical direction and ship the first version themselves. Why now • Our existing low-code platform has validated demand but cannot support the next stage of customer engagement, partner reporting, the recommendation engine, ecommerce attribution or scalable B2B growth., • The strategic goal is to turn the Screener into a vision-health engagement platform that captures structured, user-level data. A proprietary eye-health dataset is the long-term competitive moat., • Scaling fast across multi-national enterprise clients, • Active commercial conversations with major UK health and insurance partners give the platform a clear demand signal. What you’ll work on • Architect and build a native eye-screening platform to replace our low code solution, with full ownership of stack choices., • Build a user account system with progressive unlock, saved results and longitudinal tracking. Account creation before results is the central UX challenge: value needs to be visible both before and after sign-up to keep drop-off in check., • Build the structured data-capture and reporting layer for B2B partners across cash plans, insurers and retail pilots., • Build a recommendation engine that routes screening output to product and service recommendations, and captures why users ignore products, not just what they click., • Design symptom follow-ups at 30 and 90 days as a re-test experience, rather than as marketing prompts., • Manage the commercial relationship with the contractor who is maintaining the existing product in parallel., • Work with our clinical lead on safety review and clinical correctness, which runs in parallel with the build., • Shape the engineering hiring plan as the platform scales, likely one or two engineers in Year 2., • Set the technical standards, review process and operating model for the engineering function., • Brief and collaborate with our design/UX team member on user research and journey design, particularly the account creation flow which is the single biggest UX challenge for the replatform, • Own the technical contribution to product trade-off conversations: feature sequencing, scope cuts, technical debt acceptance What you’ll bring Experience • 6+ years’ engineering experience, with at least 2 to 3 years leading platforms end to end., • Strong full-stack capability on a modern web stack. Stack preferences are below; we are open to a candidate proposing alternatives., • Experience with greenfield builds and with legacy systems running in parallel., • Data-platform thinking. You understand the difference between collecting data and building a structured dataset that compounds in value., • Experience hiring and managing engineers. Mindset • Comfortable as a hands-on builder, not just an architect. You write production code., • Comfortable in a startup or early-stage scale-up environment, with ambiguity and direct ownership., • Pragmatic about trade-offs between speed, quality and what to leave for later. Tech stack preferences We have a working view of the stack but are open to the right person proposing alternatives: • TypeScript and Node.js, or Python, on the backend., • React or Next.js on the frontend., • PostgreSQL or a similar relational database for structured data., • Cloud-native on AWS or GCP., • API-first design., • Modern data tooling such as dbt, with an awareness of event streaming. Nice to have • Health-tech or regulated-industry experience, ideally medical-device adjacent or with GDPR-sensitive data., • B2B or B2B2C SaaS experience, particularly where employers or insurers are the buyer and employees are the users., • Experience integrating with insurer or benefits-platform APIs., • Experience with recommendation engines or personalisation., • Patent-eligible algorithm work. IP creation matters to us., • Familiarity with Embeddables or other low-code platforms, useful for the migration phase. How we work • Remote-first and async-friendly., • Small team, fast moving, founder-led., • Weekly stand-ups and quarterly off-sites., • We ship and iterate. We do not build for perfection., • Our clinical lead works alongside engineering on feature accuracy and safety. 💚 Why Join Ocushield? 👁️ Purpose-driven work Build technology that helps people protect their vision in a screen-heavy world. Real health outcomes, not vanity metrics, with products trusted by major UK healthcare partners. 🚀 Build something meaningful Architect our digital eye-health platform from low-code to a native, data-centric stack. Greenfield work that compounds in value over time as the proprietary clinical dataset grows. 🎯 Real ownership Work directly with the founder and our clinical lead. Decisions get made in days, not quarters. No middle layer between you and strategy. 🧠 Hands-on craft This is a building role, not a managing role. You write production code, set the architecture, and shape the engineering function as we grow. 🌱 Profitable and scaling We are not a burn-rate startup. The business is profitable, the digital platform is growing fast, and the platform you build powers the next phase. Why you shouldn't apply • You need rigid structure and fixed specifications, • You want a large team around you from day one, • You prefer maintaining systems over building new ones, • You’re not comfortable owning outcomes end-to-end, • If the idea of building something new, scrappy, and impactful excites you — not scares you — then you’ll thrive at Ocushield. Compensation • Remuneration up to £85,000 with stock options, • Pension, holiday and equipment budget on standard terms., • Remote-setup support.

Vulnerability Engineer – Offensive Security & Research Location: UK Remote Employment Type: Permanent About the Opportunity A rapidly growing, venture-backed cybersecurity company at the forefront of Pre-Emptive Exposure Management is expanding its global Offensive Security and Vulnerability Research function. This is an opportunity to join an elite team focused on discovering, validating, and operationalising high-impact vulnerabilities before threat actors can exploit them. The organisation combines advanced vulnerability research, offensive security engineering, AI-driven automation, and scalable detection tooling to secure enterprise environments worldwide. Role Overview As a Vulnerability Engineer, you will operate across the full offensive security lifecycle — from 0-day and n-day vulnerability research through to building automated tooling for exploit validation and detection engineering. This hybrid research and engineering role is ideal for someone passionate about reverse engineering, patch diffing, binary analysis, Python development, and the practical application of LLMs/AI in cybersecurity workflows. You will focus on identifying and automating the detection of critical vulnerabilities such as Remote Code Execution (RCE), privilege escalation, authentication bypasses, and other high-severity attack vectors across large-scale attack surfaces. Key Responsibilities • Conduct advanced vulnerability research across 0-day and n-day exposures, • Perform patch diffing, reverse engineering, and exploit analysis on source-available and binary-only targets, • Develop and maintain Python-based offensive security tooling, • Build automated workflows for exploit validation, vulnerability discovery, and detection signature generation, • Leverage AI/LLM-powered tooling to accelerate triage, code review, analysis, and research operations, • Research and validate high-impact vulnerabilities including RCE, deserialization flaws, authentication bypasses, and memory corruption issues, • Utilise industry-standard offensive tooling including Burp Suite, Ghidra, IDA Pro, debuggers, and fuzzers, • Collaborate with offensive security and engineering teams to improve detection and remediation capabilities, • Present original research findings to the global cybersecurity community at leading conferences and industry events Required Skills & Experience • 2+ years of hands-on experience in vulnerability research, exploit analysis, or offensive security engineering, • Strong understanding of n-day reproduction, patch diffing, and vulnerability validation, • Experience with reverse engineering, binary analysis, and debugging techniques, • Solid programming and software engineering skills with a strong focus on Python, • Practical knowledge of web and binary exploitation techniques, • Hands-on experience with tools such as Burp Suite, Ghidra, IDA Pro, fuzzers, and debuggers, • Understanding of common vulnerability classes including RCE, SSRF, deserialization, authentication bypass, and memory corruption, • Exposure to AI/LLM applications in cybersecurity, automation, or code analysis, • Ability to thrive in a fast-paced, high-growth, startup environment with strong ownership and execution mindset Desirable Experience • Experience developing offensive security automation platforms, • Knowledge of exploit development and detection engineering, • Familiarity with cloud, enterprise, or large-scale attack surfaces, • Contributions to the cybersecurity community through research, blogs, tooling, or conference presentations Vulnerability Research, Offensive Security, Exploit Development, Reverse Engineering, Patch Diffing, Python, Ghidra, IDA Pro, Burp Suite, Binary Analysis, Detection Engineering, AI Security, LLM Security, Fuzzing, Red Team, Application Security, Threat Research, RCE, Security Automation, Cybersecurity Engineering

Senior Full Stack Developer TypeScript, React, Python, Django Prior start up or scale up experience required (Remote Europe) We’re looking for a Senior Full Stack Developer to take ownership of core product areas within an AI-powered creative platform used in real-world production environments. What we’re looking for: • 6+ years of professional engineering experience, • Strong full stack background: TypeScript, React, Python, Django, • Experience designing scalable systems and making architectural decisions, • Background in product-driven or start-up environments, • Bonus: experience with generative AI tooling or creative software What you’ll do: • Lead end-to-end delivery of generative AI features and user experiences, • Own and evolve backend architecture, APIs, and data models (Python, Django), • Build and scale complex, high-performance React applications (TypeScript), • Work hands-on with LLMs and image generation models, • Partner closely with product and growth to shape roadmap and execution Why join: • High ownership and technical influence, • Cutting-edge AI and generative visuals, • Fast-moving, impact-driven environment, • Clear opportunities for technical leadership and growth

Senior C++ Software Engineer Manchester | National Security | High‑Performance Systems | Up to £80,000 Gross Operating at the cutting edge of defence, aerospace, and national security technology, delivering advanced, mission‑critical solutions for government and international customers. Teams work across highly secure, high‑impact programmes, developing and supporting systems that protect critical infrastructure and national interests. The environment is fast‑paced and technically demanding, with a strong emphasis on innovation, collaboration, and continuous improvement. Engineers are trusted to take ownership, challenge assumptions, and contribute directly to systems deployed in real operational environments. As a Senior C++ Software Engineer, you will work on the development, enhancement, and support of high‑performance national security systems, collaborating with international customers and internal teams to deliver new capabilities and maintain mission‑critical platforms. You’ll be part of an agile, collaborative engineering team, working across the full software lifecycle in a Linux‑based environment. The work is technically challenging and varied, requiring strong problem‑solving skills, performance‑focused development, and the ability to operate comfortably in complex, production systems. Your background: • Strong commercial experience developing software in modern C++, including performance‑critical and concurrent systems, • Solid understanding of Linux‑based development, including build systems, compilers, tooling, and low‑level system behaviour, • Experience working with computer networking concepts and protocols, particularly TCP/IP and related technologies, • Exposure to packet‑level or network‑focused systems, such as traffic analysis, inspection, or monitoring platforms, • Experience using complementary scripting or automation languages such as Python, Ruby, Bash, or similar, • Comfortable working in Agile / Scrum environments, using tools such as Jira or equivalent, • Experience diagnosing, troubleshooting, and supporting complex systems, including remote fault‑finding, • Ability to work autonomously while contributing effectively within a high‑performing engineering team, • Strong communication skills and a proactive approach to problem‑solving Desired: • Experience with deep packet inspection or network analysis technologies, • Familiarity with networking protocols beyond TCP/IP (e.g. HTTP, DNS, DHCP, tunnelling technologies), • Exposure to configuration management or infrastructure tooling (e.g. Puppet or similar), • Experience supporting deployed or operational systems in a secure or mission‑critical context, • Willingness to travel occasionally to support customer engagement and system deployment

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 (3+ 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

About Quantiphi Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI driving measurable outcomes at the very core of their operations. Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value, not just technology for technology’s sake. Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact. We’ve been recognized with • 17x Google Cloud Partner of the Year awards in the last 8 years., • 3x AWS AI/ML award wins., • 3x NVIDIA Partner of the Year titles., • 2x Snowflake Partner of the Year awards., • We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group., • We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators., • We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit: or_. Role: Cloud Data Architect Experience Level: 8-10+ years Work Location: United Kingdom (Remote) Job Overview: We are seeking a highly skilled AWS Data Migration & Data Engineering Consultant to lead end-to-end data migration initiatives across on-prem, cloud, and multi-cloud environments into AWS. This role focuses on defining and executing data migration strategies, including assessment, wave planning, migration execution, and post-migration stabilization, while ensuring data integrity, minimal downtime, and alignment with business SLAs. The ideal candidate brings strong experience in cross-platform database migrations (Oracle, SQL Server, MySQL, or cloud-native systems) combined with deep expertise in AWS data engineering services and modern data pipeline development. Key Responsibilities: • Lead end to end database migrations to AWS from diverse sources, including on-premises systems (e.g., Oracle, SQL Server, MySQL) and other cloud platforms (e.g., GCP, Azure)., • Lead end-to-end data migration strategy and execution, including assessment, dependency mapping, and wave planning, • Design and implement migration frameworks using AWS DMS, SCT, Glue, and Redshift, • Define and execute data validation, reconciliation, and cutover strategies ensuring zero/low data loss, • Enable CDC-based replication and minimal downtime migrations across heterogeneous systems, • Design and optimize ETL/data pipelines using AWS Glue, PySpark, or EMR, • Architect and implement scalable, secure, and highly available data platforms on AWS, • Drive schema conversion and modernization strategies (heterogeneous migrations where applicable), • Optimize performance of source and target systems pre- and post-migration, • Manage and govern S3-based data lakes and metadata using Glue Data Catalog, • Collaborate with application, infrastructure, and analytics teams for seamless migration and stabilization, • Implement monitoring, rollback, and failure recovery mechanisms, • Ensure adherence to security, governance, and compliance standards Required Skills: • 8+ years of experience in database migration and data engineering, • Proven experience in cross-platform data migrations (on-prem to cloud or cloud to cloud), • Strong hands-on expertise with: AWS DMS (Database Migration Service), AWS SCT (Schema Conversion Tool), AWS Glue (ETL & data integration), Amazon Redshift (data warehousing), • Experience designing and implementing data validation and reconciliation frameworks, • Strong experience in ETL/data pipeline development (Glue, PySpark, EMR, or equivalent), • Deep proficiency in SQL and data modeling concepts, • Experience working with S3-based data lakes and Glue Data Catalog, • Strong understanding of CDC, transaction consistency, and migration cutover strategies, • Hands-on experience with performance tuning, schema design, and query optimization, • Proficiency in Python/PySpark and scripting (Shell/Python), • Experience with Oracle, SQL Server, MySQL, PostgreSQL, or cloud-native databases Nice to Have: • Exposure to real-time replication tools (e.g., GoldenGate or equivalent), • Database Administration (DBA) expertise, including backup & recovery strategies, HA/DR design, database patching and upgrades, lifecycle management, capacity planning, performance monitoring, and security hardening., • Experience with Lake Formation and data governance frameworks, • Familiarity with Data Mesh and cross-account data sharing architectures, • Experience with CI/CD for data pipelines (CodePipeline, Jenkins, etc.), • Knowledge of Infrastructure as Code (Terraform / CloudFormation), • AWS Certifications (Solutions Architect / Data Engineer), • Experience in mentoring teams and leading large-scale migration programs. What’s in it for YOU at Quantiphi: • Make an impact at one of the world’s fastest-growing AI-first digital engineering companies., • Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues., • Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines., • Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

DevOps Engineer Global Payments Technology | High-Growth Environment Location: Remote Salary: Up to £55,000 base Visa Sponsorship: Not available Are you a DevOps engineer who thrives building the infrastructure that lets great software ship fast, safely, and reliably? Do you want to own meaningful CI/CD transformation work in a payments business that genuinely values engineering excellence? We're working with a rapidly scaling global payments organisation that is building out a dedicated DevOps function from the ground up. This is a rare opportunity to join early, influence the culture, and leave a real mark on how a complex, high-throughput technology estate is built and operated. The Opportunity: You'll be a key technical contributor in establishing a world-class CI/CD capability across on-premise and multi-cloud environments. The role touches everything from pipeline architecture and infrastructure-as-code to security gates, release automation, and cross-team enablement. You'll work closely with software teams to instil DevOps principles and drive a push-button deployment culture. This role is based on greenfield DevOps transformation, with the autonomy to make the right calls. What Makes It Interesting: • Build and shape a CI/CD platform from the ground up - real ownership, not inherited tech debt, • Work across a polyglot engineering environment (.NET, Java) and multi-cloud infrastructure, • Drive automation that directly reduces risk in a regulated payments environment, • Collaborative culture that values outcomes, initiative, and engineering craft over process, • Real scope to grow as the DevOps function scales What You'll Be Doing: • Design, build, and maintain reusable CI/CD pipelines with built-in quality and security gates, • Drive automation that eliminates manual build, test, and deployment steps, • Define and implement IaC strategies using Terraform and Ansible, • Partner with engineering teams to embed DevOps principles and toolchain standards, • Ensure platform security through best-in-class secrets management and cloud security controls, • Monitor and improve platform reliability using delivery metrics (deployment frequency, MTTR, change failure rate), • Evaluate new tooling and provide technical guidance on architecture and process improvements What We're Looking For: • 3–5 years of hands-on CI/CD and DevOps experience, • Strong experience with GitHub Actions, Azure DevOps, or Jenkins, • Solid Terraform and Ansible skills for infrastructure and configuration as code, • Cloud experience across one or more of AWS, Azure, or GCP, • Understanding of containerisation (Docker), secrets management, and pipeline security practices, • Scripting in Python, JavaScript, or similar, • Strong understanding of networking, SSL, VPN, and certificate lifecycle management, • Linux and Windows OS experience Advantageous: • Experience across two or more of AWS, Azure, and OCI, • GitHub Enterprise and GitHub Actions expertise, • Cloudflare configuration and management, • Familiarity with Artifactory, Cloudsmith, or similar package management tools, • Exposure to .NET and Java technology stacks This role will suit someone who is comfortable operating at the intersection of engineering and operations - someone who enjoys enabling developer velocity as much as they enjoy solving infrastructure problems. You're proactive, comfortable with ambiguity, and take pride in automation that just works. Research indicates that men will apply to a role when they only meet 50-60% of the descriptions, however, when looking at women and other minority groups, they can look for up to a 99% match in order to apply to a role. If you feel you are a fit for our role, please still apply, don’t worry if you don’t tick every single box. We’d still love to hear from you. We encourage underrepresented talent to apply to all our roles & support accessibility needs

Senior Data Engineer Remote UK, £90,000 to £100,000 This is an opportunity to join a fast scaling, digital first consumer platform at a pivotal point in its data journey. They are investing heavily in their data infrastructure and are building a high performing, software led data engineering team to support real time, high volume analytics across the business. You will have genuine influence over how data engineering is done, working on modern tooling and best practice from day one. The Company They are a UK based, consumer facing digital platform operating in a highly regulated online environment. Since launching less than a decade ago, the business has grown rapidly, supported by significant recent funding and a strong focus on product, user experience and responsible engagement. Data is central to their growth strategy, and they are building a modern, scalable analytics platform to support this ambition. The team operates fully remotely across the UK and Europe. The Role • Design, build and own end to end data pipelines supporting real time and batch analytics, • Work on high volume, low latency data use cases with a strong focus on reliability and scalability, • Develop production grade data solutions using software engineering best practices such as CI/CD, testing and version control, • Contribute to the design of data models and analytics layers used across the business, • Help implement and mature staging, testing and deployment processes across the data platform, • Collaborate closely with analytics, product and engineering teams to enable better decision making Your Skills and Experience • Strong commercial experience as a data engineer in modern, cloud based environments, • Advanced Python and SQL, with experience using PySpark or similar distributed processing frameworks, • Experience building and maintaining data pipelines in AWS using services such as S3, Glue or EKS, • Hands on experience with modern analytics stacks such as Snowflake, dbt and Iceberg, • Familiarity with orchestration tools such as Dagster or Airflow, • Strong understanding of data modelling concepts and analytics best practice, • A software engineering mindset, including Git, testing and CI/CD workflows What They Offer • The chance to help shape a growing data platform and engineering culture, • Clear progression opportunities as the data team continues to expand, • Exposure to complex, real world data challenges at scale How to Apply If you are a Senior Data Engineer looking to make a real impact in a growing, product led business, apply now to learn more about the opportunity.

Contract Lead Full Stack Engineer (Python, Node, React) Rate: £500 - £550 per day (Inside IR35) Location: UK Remote Start: ASAP Duration: 3 to 6 months initially We’re supporting a growing technology consultancy delivering large-scale cloud and application modernisation programmes for enterprise clients who are now looking for a Lead Full Stack Engineer to join a transformation project with an existing customer. If you enjoy solving complex engineering challenges, working in a full stack capacity, this role will suit you perfectly. The Role As a Lead Full Stack Engineer, you’ll join the consultancy’s technical delivery team, working directly with end clients to stabilise, refactor and modernise critical applications. This is a hands-on position involving full stack development, architecture decisions and more. What We're Looking For Essential: ✔ Strong experience with Python ✔ Strong experience with NodeJS / ReactJS ✔ Docker and containerised workloads ✔ CI/CD tooling: GitHub Actions, Jenkins ✔ Cloud experience either Azure, AWS or GCP ✔ Infrastructure as Code (Terraform, CloudFormation) ✔ Strong debugging and problem-solving skills Nice to have: • Consultancy or client-facing delivery experience, • Background in application remediation or cloud modernisation, • Understanding of cloud networking, security and observability Why Join This Consultancy? • Work on high-impact engineering challenges, • Join a supportive community of senior engineers and cloud specialists, • Help shape technical direction and influence client outcomes, • Be part of a pragmatic, delivery-focused environment

💰 Up to £600/day | 6 months | Remote | Immediate Start I'm hiring for a Senior Python Engineer for an initial 6-month contract. The role is ideal for engineers who enjoy owning features end-to-end while spending the majority of their time building scalable backend services and APIs. This is a highly product-focused environment where contractors can make a genuine impact quickly, working closely with an established permanent engineering team. 📌 Key Information • 💰 Up to £600/day (INSIDE IR35), • ⏱️ 6 month initial contract, • ⚡ 1-stage interview process, • 🏠 Remote, • 🚀 Immediate starts available, • 📈 Potential for long-term extensions or permanent conversion 🛠️ Tech Stack / Environment • Python (core backend focus), • TypeScript + React (for fullstack feature ownership), • AWS, • API development, • Modern cloud-based product environment, • Collaborative scaleup engineering culture 🎯 What They’re Looking For • Strong Python backend engineering experience, • Comfortable owning API and service-layer development, • Ability to contribute across the stack when needed using React / TypeScript, • Experience working in product-led, fast-moving environments, • Engineers who can ramp quickly and deliver from day one They’re moving quickly, with interviews taking place this week, and can get people started within the next few weeks.

👋 About Renude Renude builds AI-powered software for the beauty industry, helping brands deliver personalised, expertise-focused customer support through intelligent digital agents. Our technology powers e-commerce experiences including: skin analysis, product recommendation and LLM-based chat. We’ve been awarded by CEW, Beauty Innovation Awards, Tech Nation and more. We have raised over $4M from leading tech investors in addition to being awarded Innovate UK Grants. Our team combines tech, formulation, dermatology, e-commerce and sales expertise. 🔧 What You'll Do We’re hiring a mid-senior (4+ years experience) AI Engineer to help design, build, and scale our production AI systems with ownership from design to deployment. You’ll work end-to-end across Agentic RAG conversational agents, Agent orchestration, fine-tuning models, retrieval pipelines, evaluation frameworks and generating product recommendation for real customer interactions to deliver reliable AI-powered experiences in production. • Design, build, and deploy Agentic AI workflows and RAG-powered applications for real-world use cases, • Develop scalable backend services and APIs powering AI agents and conversational systems, • Build and optimise retrieval pipelines including embeddings, chunking, reranking, memory and vector search, • Collaborate closely with product, design, and engineering teams to shape AI-first experiences, • Integrate LLM systems into user-facing web applications and product features, • Improve response quality, reliability, latency, observability and cost efficiency of production AI systems, • Evaluate new AI frameworks, tools, and orchestration approaches across the rapidly evolving LLM ecosystem, • Influence architecture decisions for scalable, secure, and production-ready AI infrastructure ✅ What We're Looking For Must-Haves: • Bachelor’s degree in Computer Science, Artificial Intelligence, Engineering, or equivalent practical experience, • 4+ years experience building and deploying production AI applications, • 2+ years experience developing LLM-powered products, conversational AI, RAG systems, or agentic workflows, • Strong Python skills and experience building backend systems and APIs, • Hands on experience building agentic workflows, tool-calling pipelines, and stateful orchestration using frameworks such as LangGraph, LangChain, LlamaIndex, AutoGen, CrewAI or similar agent orchestration frameworks, • Strong experience designing and optimising retrieval systems, including vector stores (Pinecone, Weaviate, Chroma), graph-based RAG architectures, hybrid retrieval, reranking, and semantic search pipelines, • Experience with production optimisation for RAG systems, including latency optimisation, token cost control, context management, monitoring, guardrails and prompt versioning, • Exposure to AIOps/MLOps practices and hands-on experience with AWS Bedrock, SageMaker, Vertex AI, or similar cloud AI platforms, • Comfortable working autonomously and taking ownership in a fast-moving, remote, startup environment Nice-to-Haves: • Masters or advanced degree in artificial intelligence, machine learning, natural language processing or related field, • Experience with LLM fine-tuning techniques such as LoRA, QLoRA, supervised fine-tuning (SFT), instruction tuning, and parameter-efficient model adaptation workflows, • Experience with evaluation and monitoring frameworks for LLM systems, including RAGAS, OpenEvals, DeepEval, LangSmith, OpenTelemetry or LLM-as-a-Judge evaluation frameworks, • Familiarity with graph databases such as Neo4j or Amazon Neptune, • Experience with recommendation systems, personalisation pipelines or ranking systems, • Experience building modern web applications using Django, FastAPI, React, or similar frameworks, • Comfortable using Docker and containerised development workflows, • Exposure to CI/CD pipelines, infrastructure-as-code, and cloud-native deployment practices 🌱 What We Offer • Competitive compensation (based on experience), • Remote-friendly culture with flexible working hours, • Opportunity to work with cutting edge technologies, • High ownership and real technical influence, • A supportive team that values product excellence and personal growth

Looking to build ultra-high-performance systems used by millions, while working fully remote in one of the most exciting spaces in tech? Software Engineer (C++) – Leading Crypto Trading Platform 🚀🪙 Salary: up to £160k + bonus + RSUs Location: Fully Remote in UK & Ireland We’re partnered with a globally recognised crypto exchange that has been at the forefront of the industry since its early days. As they continue scaling their trading infrastructure, they’re looking for Software Engineers to join their Trading Technology team. This is a unique opportunity to work on the core of a world-class trading platform, developing systems that demand extreme performance, reliability, and scalability in a low-latency, high-throughput environment. What you’ll be working on: • Designing and building components of a high-performance trading engine, • Developing low-latency, highly available backend services, • Scaling systems to handle large volumes of real-time transactions, • Enhancing performance across critical infrastructure (CPU, memory, network), • Collaborating with distributed teams across a modern, multi-language stack Tech environment: • C++ (core language), • Linux systems, • Exposure to Go, Rust, Python, • Distributed systems & concurrent programming, • Low latency / high throughput architectures We’re looking for engineers with: • Strong experience in C++ development, • Background in high-performance, concurrent or distributed systems, • Experience working in Linux environments, • Interest in trading systems, financial markets, or crypto (beneficial), • A proactive mindset with the ability to work in a fast-paced, remote-first team Why this opportunity stands out: • Fully remote, globally distributed engineering team, • Competitive bonus + RSU package, • Work on mission-critical systems at scale, • Be part of a company driving forward the adoption of digital assets, • Learn from and collaborate with some of the best engineers in the space If you’re excited by complex engineering challenges and want to build technology at the heart of global financial systems, this could be the move for you. Apply now ⚡

Lead Machine Learning Engineer UK - remote, 35 hour work week Up to £95k + bonus 12m FTC (strong view to go permanent) A professional services firm is looking for a Lead Machine Learning Engineer to join its growing data and AI team. This is a key role focused on building and leading ML engineering capability, delivering scalable AI solutions, and shaping the organisation’s data and AI strategy. The role • Lead the development of machine learning engineering capability across the business, • Design, build, and productionise ML models and data products, • Develop and implement MLOps frameworks (CI/CD, model deployment, monitoring, governance), • Build scalable data and ML pipelines on Azure-based platforms, • Collaborate with data scientists, analysts, and stakeholders to deliver end-to-end AI solutions, • Contribute to data architecture, standards, and best practice across the organisation, • Provide technical leadership, mentoring, and guidance to engineers and wider teams What they’re looking for • Strong experience in ML engineering, MLOps, and data/AI architecture, • Proven track record delivering end-to-end ML solutions in cloud environments (Azure preferred), • Expertise in Python, Spark/PySpark, and modern data platforms (e.g. Databricks), • Hands-on experience with NLP and LLMs, including deployment and optimisation, • Experience building scalable pipelines, model governance processes, and production systems, • Ability to translate business requirements into robust technical solutions, • Strong stakeholder management and leadership experience Why apply • Opportunity to build and shape ML engineering within a growing data function, • High-impact role with ownership of architecture, tooling, and best practice, • Exposure to modern AI and LLM use cases, • Clear pathway to a permanent role Please note: sponsorship is not available for this role.

Senior Fullstack Engineer (frontend leaning) | £85k - £95k | Remote 🚀 We’re partnering with a fast-growing future-of-work platform that’s reshaping how leading brands hire and manage freelance talent globally. Backed by an experienced leadership team from some of Europe’s most successful scale-ups, they’re now looking for a Senior Fullstack Engineer (frontend leaning) to help scale a product used by thousands of freelancers and businesses worldwide. ✨ The Role You’ll join a highly collaborative product engineering team, owning features end-to-end across a modern TS, React + Python stack while helping shape the future of the platform. • Build and ship user-facing features across frontend and backend systems, • Help evolve and maintain a scalable design system and component library, • Drive performance, quality, and developer experience across the product, • Collaborate closely with Product and Design from early discovery through delivery, • Work with modern AI-assisted engineering workflows and tooling 🎨 What They’re Looking For • Strong experience with React and TypeScript in production environments, • Experience building scalable design systems or reusable component libraries, • Solid understanding of modern web architecture, browser behaviour, and performance, • Comfortable working across the stack, ideally with some Python/Django exposure, • Experience working in fast-moving product teams with strong ownership mentality ☀️ Salary, Location & Setup • Up to £85k - £90k+ base salary, • Very flexible hybrid working setup, • London-based team with occasional visits to the office, • Open to UK-friendly timezone remote candidates, • Strong benefits package including healthcare, pension, learning budget, and generous annual leave If you’d be interested in hearing more please apply with your CV!