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This is TDS We are a global software consultancy specialising in providing highly skilled experts to meet our clients' business needs. At Test Driven Solutions, we excel in driving both from the ground up development as well system modernisation projects, leveraging the latest cutting-edge technologies to deliver outstanding results. We operate across both private and public sectors. We are serving industries such as financial services, government, healthcare, gaming, education, broadcasting, and renewable energy organisations. We are continually growing as a business, securing new client wins and advancing ongoing internal projects. What's it like working here At TDS we uphold clear and unwavering values, fostering a community-oriented ethos that encourages close collaboration across our diverse disciplines. We hold regular team meet-ups, both online and in person, and monthly company wide social events. In addition, we organise company away weekends, which have previously taken us to cities like Amsterdam, Dusseldorf, Riga and Dublin. These trips offer the team a chance to unwind and strengthen connections outside of the office. It is important to us to create an environment where strong connections are built and camaraderie is nurtured within our team. Offering full hybrid working patterns to align with today’s flexible work environment, our team is spread across the UK, with members based in and around Newcastle, Edinburgh, Glasgow, Perth, Inverness and the Birmingham region. We are proud to have our modern UK headquarters on the Quayside in Newcastle’s city centre, with stunning views of the Glass House. This office serves as a central base of work for everyone, providing a collaborative space for our team when they come together. In January, we opened our second UK office, based in Haymarket, Edinburgh to give our Scottish team a hub that is more local. Additionally, we have teams located in our international office regions in Wrocław, Poland, and Calgary, Canada, creating a truly global workforce. This distributed team structure fosters strong connections and collaboration, regardless of location. What you will be involved in • Working with clients to deliver high quality data solutions for varied industries, • Building and Improving complex data pipelines, data transformations and data models, • Investigating and fixing data issues and improving performance and reliability, • Supporting junior engineers and taking ownership of defined technical tasks, • Working with architects and analysts to turn designs into working data solutions, • Collaborating with the internal Cloud & Data team to share best practices and ideas Technical Requirements • Talend ETL (or similar), • SQL/Python, • Database DDL, • Git/Gitlab/Gitlab CI, • JSON schema analysis, • TAD, • Test Automation, • PL/SQL Packages and procedures, • Denodo integration Nice to have • AWS/Azure, • Ansible, • Amazon S3, • Artifactory, • Zephyr, • Berlin JobScheduler, • Vault Benefits • 25 days holiday + Bank holidays, • Hybrid/Remote work and flexible working hours, • Contributory pension scheme (Salary sacrifice available), • Progression opportunities/Paid certificates, • Discretionary Bonus Scheme, • BUPA Health/Dental care, • Perkbox benefits/discount scheme, • City centre office location, • Macbook Pro/Windows Machine provided, • Monthly company socials, • Cycle to Work scheme, • Company away weekend, • TDS Merchandise

Job Description About Scrumconnect Scrumconnect Consulting is a UK-based digital transformation consultancy delivering agile, secure, and scalable technology solutions for public and private sector clients. This is a fully remote role based in India, supporting UK operations and client engagements. The successful candidate will work closely with UK leadership teams and must be comfortable operating within UK regulatory, governance, and delivery frameworks. About the Role We are looking for an experienced Test Manager to lead quality assurance and testing activities within a large-scale cloud data engineering programme operating across a modern AWS-native technology ecosystem, including Apache Airflow, Amazon Athena, AWS Glue, S3, EMR, DynamoDB, and related cloud services. This role combines hands-on technical leadership with test strategy ownership. You will be responsible for defining and driving the overall testing approach across automated pipelines, data workflows, cloud infrastructure, and release delivery while managing risks, improving testing standards, and mentoring engineering teams. The ideal candidate will have strong experience in Big Data and Data Lake environments, including testing both structured and unstructured datasets, and will be comfortable operating in highly automated CI/CD-driven delivery environments. You will work closely with engineering, DevOps, architecture, and stakeholder teams to ensure quality is Embedded throughout the software delivery life cycle. Key Responsibilities Test Strategy & Leadership Define, implement, and manage the overall test strategy across cloud-native data platforms and applications Lead end-to-end testing activities across data pipelines, cloud services, APIs, and distributed systems Establish quality standards, governance processes, and testing best practices across teams Drive a quality-first engineering culture across the programme Provide leadership, mentoring, and coaching to Test Engineers and QA team members Automated Testing & Frameworks Design, implement, and oversee scalable automated test frameworks for data and application testing Build and maintain automated test suites across AWS cloud infrastructure and data workflows Enhance existing automation frameworks to improve reliability, coverage, maintainability, and reporting Ensure automated testing is fully integrated within GitLab CI/CD pipelines for rapid feedback and release confidence Big Data & Data Lake Testing Lead testing activities across Big Data and Data Lake solutions containing structured and unstructured datasets Validate large-scale data ingestion, transformation, and processing workflows Ensure data integrity, transformation accuracy, reconciliation, and performance under load Oversee PySpark-based data validation and interrogation activities on AWS EMR Support testing and monitoring of workflows orchestrated through Apache Airflow Drive root cause analysis for production data issues and platform defects Risk Management & Reporting Identify, assess, and communicate quality risks across releases and environments Analyse test execution metrics, defects, trends, and quality indicators Translate technical findings into clear, prioritised reporting for technical and non-technical stakeholders Provide regular status reporting to programme leadership and client stakeholders CI/CD & DevOps Collaborate with DevOps and engineering teams to improve release quality and deployment confidence Ensure automated test execution within GitLab CI/CD pipelines Support infrastructure testing and validation within Terraform-managed cloud environments Contribute to continuous improvement initiatives across testing and delivery processes Technology Stack Apache Airflow, Amazon Athena, AWS S3, AWS Glue, AWS EMR, AWS EC2, AWS ECR, AWS DynamoDB, AWS CloudWatch, AWS IAM, Python, SQL, Java, Bash, GitLab CI/CD, Jupyter Notebooks, Apache Spark/PySpark, Terraform, Docker Key Skills Strong proficiency in Python, SQL, Java, and Scripting languages such as Bash Hands-on experience testing Big Data platforms and Data Lake solutions Strong experience with AWS EMR, Apache Airflow, and Jupyter Notebooks Experience performing PySpark-based data interrogation, validation, and testing Strong knowledge of AWS services including S3, Glue, Athena, EMR, CloudWatch, IAM, DynamoDB, EC2, and ECR Experience designing, implementing, and managing enterprise-scale automated test frameworks Strong understanding of CI/CD practices using GitLab pipelines Experience with infrastructure-as-code tools such as Terraform Familiarity with Docker and containerised testing environments Understanding of dimensional data models and slowly changing dimensions Experience validating structured and unstructured data workflows Strong analytical and root cause analysis skills Ability to communicate technical risks clearly to stakeholders at all levels Experience leading and mentoring QA/Test Engineering teams Skills & Experience Required Proven experience as a Test Manager, Lead Test Engineer, or QA Lead within cloud and data engineering environments Strong background in automated testing for cloud-native and data-centric platforms Experience testing large-scale data pipelines, transformation processes, and distributed systems Experience managing or leading QA/testing teams in Agile delivery environments Strong stakeholder management and communication skills Experience establishing test governance, reporting, and quality metrics Strong problem-solving and decision-making capability Experience working within regulated or security-conscious delivery environments SFIA Level 5 capability provides leadership, influences strategy, and drives quality improvements Active SC clearance (mandatory)

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

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 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

Gameplay Programmer (UE5 Narrative FPS - 3Cs) Awe Interactive is a passionate and dedicated team of developers committed to creating memorable and immersive gaming experiences. We are currently working on an exciting narrative-driven FPS that will capture the imagination of gamers around the world. We are now looking for a talented and motivated Gameplay Programmer to join our team and help us bring our vision to life using Unreal Engine 5. We are a small independent developer with both Indie and AAA experience and a reputation for innovation. We are an all-remote studio. If you have a strong desire to have a big impact at an independent game studio please get in touch. We are specifically interested in candidates with good “game sense” and “game feel” in the FPS space with an equally strong understanding of C++ in UE5. Someone who can thrive in an big indie workplace where “make grenades work” might be the total brief and a solid implementation is expected. Responsibilities: • Maintain an existing FPS Pawn, Controller and Camera. Implementing new abilities, weapons and features and polishing the edges to a III shine., • Work closely with the animation, design, art, and programming teams to create and implement gameplay systems, tools and mechanics for a FPS., • Contribute to the development of our narrative FPS using Unreal Engine 5, with an understanding of performance optimization and maintainable code, • Participate in code reviews, providing and receiving constructive feedback, and maintaining code quality standards, • Proactively identify, diagnose, and resolve gameplay issues and bugs, ensuring a polished and enjoyable gaming experience, • Stay up-to-date on industry trends, tools, and best practices, and apply this knowledge to continuously improve our game's performance and player experience Requirements: • A minimum of 2 years of industry experience in game programming (unless your Uni portfolio happens to contain a FPS Prototype written in C++), • Bachelor's degree in Computer Science, Game Development, or a related field, or equivalent experience, • Strong programming skills in C++ and experience with Unreal Engine (UE4 or UE5), • Interest in gameplay programming concepts, including AI, physics, animation, and user interface, • A strong portfolio demonstrating relevant skills and projects or Experience working on at least one shipped game title (or extremely impressive University project), • Strong problem-solving skills and the ability to work well in a team-oriented environment, • Passion for game development and a deep understanding of RPG and FPS gameplay mechanics, • Strong communication skills, • Experience with Blueprints scripting in Unreal Engine, • Familiarity with Perforce or similar version control systems Nice-to-Have: • Knowledge of when LLMs are helpful, and when they’re a hindrance, • Knowledge of other programming languages, such as Python or C#, • Background in mods or creating custom content for existing games, • Experience with WWise, • Experience with serialisation of game state (in a single player or multiplayer context), • Knowledge of Unreal’s input system If you are passionate about game development and eager to contribute to an exciting narrative FPS, we would love to hear from you. Please apply with your CV, a cover letter, and a link to your portfolio or examples of your work.

Aveni is redefining how financial institutions use AI. We build real, production-ready agentic systems that reshape how banks, advisers and financial services firms operate, replacing fragmented processes with intelligent, end-to-end workflows. We have been recognised as Fintech of the Year for two consecutive years and awarded Best Specialist Technology Service at the Professional Adviser Awards 2025. Backed by leading investors including Puma Private Equity, and commercially supported by Lloyds Banking Group and Nationwide Building Society, we previously completed one of Scotland’s largest Series A rounds. Since then, we’ve continued to grow rapidly as adoption of AI in financial services accelerates, and we’re now scaling our team to meet that demand. The Role We're hiring an Engineering Manager to lead and grow one of our engineering teams. This is a people first role for someone who is genuinely excited about the craft of leadership. You will own the performance, growth, and culture of your team, working closely with Product and Lead Engineer to create an environment of genuine ownership and high autonomy. This role requires a strong engineering background, not to own the technical direction, but to earn credibility, ask the right questions, and know when to step in. What You’ll Be Doing • Own performance, development, and progression of your team, • Own the individual performance and development of your direct reports, setting a high bar, giving honest feedback, and creating conditions for engineers to grow into real ownership., • Build a self-organised team, initially playing a facilitating role in ceremonies, with the explicit goal of no longer being needed to run the process., • Partner with Product on roadmap planning, making sure engineers understand the context behind the work, not just the tickets in front of them., • Own your team's delivery, keeping engineers unblocked, priorities clear, and commitments met., • Spot patterns in how your team operates, design better ways of working, and build the automation that powers those improvements., • Stay close enough to the codebase to spot friction, improve developer tooling, and engage credibly in technical discussions, without stepping onto the critical path., • Drive hiring alongside our Recruitment team, contributing to interview process design, and a high-quality candidate experience., • Set the cultural expectation around AI coding tools, building team-wide norms for responsible, high-quality AI-assisted engineering. What We’re Looking For • Extensive experience in software engineering, with genuine hands-on technical experience. You know what good code looks like and can get into the details when it matters., • Proven experience as an Engineering Manager or Team Lead, with real ownership of individual performance and team culture., • A track record of building high-trust, high-autonomy teams, not teams that work because of you, but teams that work because of the environment you built., • Good understanding of Node.js or Python, and React. Enough to have credible technical conversations, review code, and debug issues alongside your team., • Experience with Agile/Scrum, and a track record of improving how teams deliver, not just following a process., • Genuine excitement about AI coding tools. You use them yourself, you help your team use them well, and you stay current on what's emerging., • You enjoy management and leadership problems. Growing and unblocking people, building the processes and frameworks that make the team better. These are things you actively want to do. Why Aveni • We're building AI systems for a sector where trust and safety genuinely matter and we take that seriously in how we engineer., • High-trust, high-autonomy culture: we give engineers real ownership and expect them to use it., • AI-native engineering culture. We use AI tools across the full software lifecycle and expect our engineering leaders to lead from the front., • High-growth fintech at an exciting moment. New products launching, the team scaling, and the chance to shape how engineering works at Aveni for years to come. Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We’ve built our business to ensure an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you’re passionate about technology and its ability to drive positive change for the future of financial services, we’d love to hear from you. Even if you don’t meet 100% of requirements, we’d like to hear from you anyway if you believe you’d fit in. Apply now to join us on our mission to transform the financial services industry through AI. Benefits at Aveni. What you’ll love: • We’re a remote-first company across the UK, with regular off-sites and in-person gatherings that are always fun, motivating and team-focused., • Work abroad policy, • Co-working spaces available, • 34 days holiday (including flexible bank holidays) and your birthday off, • Company-wide off-sites, • Optional Personal Development Plan, • Flexible benefits platform, • Protection essentials including Life Insurance, Income Protection, Critical Illness cover, and Pension (up to 5% matched employer contribution with optional increased contributions), • Private health and dental care, • Potential share options, • Enhanced family leave

Location: Remote (UK-based applicants only) This listing is for a paidstructured Data Analyst Career Programme, not a traditional job. We are recruiting motivated UK-based candidates who want to transition into a Data Analyst career through a guided, industry-aligned training programme with portfolio projects, certifications, and career support. This is a 6-month, part-time, online Data Analyst Career Programme designed to help beginners and career-switchers gain job-ready data analyst skills and prepare for real roles in the UK job market. You will be trained in the exact tools and workflows employers expect from junior and entry-level data analysts. What you will learn • Data analysis using Excel, SQL, Python, • Business intelligence and dashboards with Power BI, • Data cleaning, data modelling, and reporting, • Real-world portfolio projects for your CV and LinkedIn, • Interview preparation and career coaching, • Understanding how data analysts work in real companies What You Get • Structured online training (8–10 hours per week), • Multiple hands-on portfolio projects, • Industry-recognised certifications, • Career coaching and...

Senior Backend Engineer | Senior Software Engineer | Python | Remote UK 💰 £90,000 - £110,000 🏠 Fully Remote (UK) 💻 Python, Flask, AWS, PostgreSQL, Docker 🚀 High-growth consumer platform scaling rapidly We’re partnered with a high-growth consumer tech platform looking to hire a Senior Backend Engineer into a fast-moving product engineering team. The business has already scaled to hundreds of thousands of users and is continuing to grow quickly, with engineering at the centre of that growth. They’re building modern, real-time user experiences with a strong emphasis on speed, product quality, and continuous improvement. This role sits within a backend-focused team responsible for powering core customer experiences across web and mobile platforms. You’ll be building APIs, backend services, and scalable systems within an environment that ships to production daily. The stack is primarily Python on AWS, using technologies including Flask, PostgreSQL, Docker, Terraform, and cloud-native infrastructure. Strong backend engineering fundamentals are more important than exact stack match. What they’re looking for: • Strong backend engineering experience with Python, • Experience building and maintaining APIs, • Good understanding of scalable systems and backend architecture, • Cloud experience (AWS ideally), • Product-minded engineers who enjoy ownership and moving quickly, • Comfortable operating in fast-paced environments Why it’s interesting: • Fully remote engineering team, • High ownership environment with real product impact, • Modern backend/cloud infrastructure, • Strong engineering culture with continuous deployment, • Consumer product used at significant scale If you’d be interested in hearing more, feel free to reach out directly. Senior Backend Engineer | Python Engineer | Backend Developer | Remote UK

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 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.

Location • Remote, but requirement to meet up once a month for in-person collaboration day, • UK based About Akixi Akixi is a fast-growing SaaS analytics company delivering real-time and historical insights for cloud-based communication platforms, including Microsoft Teams, Cisco BroadWorks, and Webex Calling. Our analytics help businesses enhance customer experience, optimize productivity, and drive performance across voice and collaboration channels. Job Summary We are seeking a Senior Platform Engineer with a deep understanding of AWS cloud infrastructure, Infrastructure-as-Code (IaC) tooling such as Terraform, and configuration management using Ansible. The ideal candidate will be a self-starter, passionate about Site Reliability Engineering (SRE) principles, and thrive in collaborative environments. You will play a pivotal role in automating infrastructure, improving reliability and scalability, and ensuring smooth CI/CD pipelines across multiple environments. You'll work closely with software engineering, and security teams to drive platform excellence. Key Responsibilities • Design, build, and manage scalable, secure, and resilient infrastructure on AWS using Terraform (modularized, reusable components)., • Implement configuration management solutions using Ansible, including playbook development, inventory structuring, and role-based automation., • Manage secrets securely using services such as AWS Secrets Manager or HashiCorp Vault., • Implement robust monitoring, alerting, and observability tooling (e.g., CloudWatch, Prometheus, Grafana, Datadog)., • Participate in incident response, root cause analysis, and resilience improvements., • Maintain and evolve CI/CD pipelines using tools such as GitHub Actions, Bitbucket Pipelines, or Jenkins., • Automate deployments for container-based workloads on ECS (Fargate), or Lambda, and manage supporting infrastructure., • Collaborate with development teams to optimize build/deploy cycles and reduce lead time for changes., • Ensure security best practices are embedded into infrastructure provisioning and pipeline execution., • Support compliance and auditing by implementing guardrails and controls as code (e.g., AWS Config, SCPs, IAM policy management)., • Some OOH work is required to maintain the production systems and also will be part of OOH critical ticket rota. Required Skills & Experience • 5+ years in DevOps, SRE, or Cloud Engineering roles., • Expertise in AWS core services: EC2, IAM, VPC, ECS/Fargate, CloudFormation, CloudWatch, RDS, DynamoDB, S3, Lambda., • Strong proficiency in Terraform (HCL) – including workspaces, modules, and Terraform Cloud or similar., • Ansible experience – developing roles, dynamic inventories, managing remote configurations., • Strong scripting knowledge (Bash, Python, or Go)., • Experience with container orchestration and deployment (Docker, ECS, or Kubernetes)., • Proficient with GitOps or IaC-based workflows., • Familiarity with Google SRE practices, particularly around reliability, observability, and operational excellence., • Understanding of systems reliability metrics and associated tooling Soft Skills & Behaviours • Self-driven with a bias toward action and ownership., • Excellent communicator, able to collaborate across disciplines and levels of technical understanding., • Experience working as part of a cross-functional team., • Comfortable working in agile environments (Scrum/Kanban).

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.

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.

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

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.

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.

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.

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.

📍 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!

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.

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.

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

Digital Design Engineer - Cryptography 📍 London 🏠 Remote position , with 1 day per month in the office 📄 Permanent 💷 £85,000 depending on relevant experience 5V Tech is supporting a cutting-edge silicon security company delivering trusted solutions for modern SoCs, chiplets, and connected devices. They are looking for a Digital Design Engineer with experience in Cryptography to join their project and start contributing from day 1. They combine low-footprint security IP with lifecycle software to ensure identity, integrity, and trust are anchored directly in silicon and maintained across manufacturing, deployment, and operation. This is a hands-on role for someone who has implemented cryptography at hardware level, not just worked on theory. The project: • Designing and implementing secure digital architectures for ASIC/FPGA, • Building and optimising hardware modules for cryptographic algorithms (AES, SHA, TRNG), • Working on Root of Trust systems and secure hardware components, • Applying countermeasures against side-channel attacks, • Contributing across RTL design, verification, and timing analysis Requirements: • Extensive experience in digital design, • Strong background in hardware-based cryptography implementation, • Excellent Python skills, • Solid Verilog or VHDL skills, • Experience working on ASIC or FPGA targets 5V Tech are acting as an Agency for the purposes of this contract. We offer a reward scheme if you can recommend someone for this contract, up to £250 for you and an additional £250 to a charity of your choice, 5V Tech are recognised talent solutions experts within IoT and Deep Tech working across Europe, the UK and North America.

About Esenda Esenda powers over £1.5bn of inbound and outbound payments annually, in the education space - from tuition and catering fees to supplier payments and payroll. We’re a revenue-generating startup with strong product-market fit, and we’re growing fast. Join us now and you’ll work on impactful features that directly shape our platform and make a real difference to our customers. What you’ll do • Design, build, and ship reliable backend services and APIs in Python (Flask) that power core product functionality., • Own features end-to-end: data modelling (Postgres), API design, testing, production rollout and ongoing improvements., • Help uphold strong engineering standards through thoughtful code reviews, testing discipline, clean architecture, and pragmatic decision-making., • Improve service reliability and operability: monitoring, alerting, logging, runbooks, and reducing on-call toil over time., • Work closely with the technical team to scope product ideas, focused on delivering customer-facing outcomes (not just “tickets”)., • Contribute to delivery practices: CI/CD improvements, incremental shipping, and maintaining a high-quality codebase., • You’ll join an on-call rotation (1 week in 4) compensation: paid as an extra £300 per on-call week. What we’re looking for • 5+ years experience building and operating production backend systems., • Strong experience with Python, and hands-on use of Flask (or similar frameworks)., • Solid understanding of Postgres (schemas, migrations, query performance, transactions)., • Experience designing and maintaining APIs (REST; event-driven experience is a plus)., • Comfortable shipping in cloud environments—ideally AWS—and working with modern CI/CD pipelines., • A strong quality mindset: you care about maintainability, security, reliability, and clear documentation. Bonus points for • Payments/fintech knowledge (reconciliation, idempotency, auditability, ledger concepts)., • Experience with distributed systems patterns (queues, background jobs, retries, rate limiting)., • Security experience (threat modelling, OWASP-style concerns, secure API design)., • Familiarity with Terraform. Why join us? • £60k salary + equity, • 40 days holiday (incl. bank holidays), • Pension scheme (3% employer contribution), • Fully remote, UK-based, with 3 in-person meetups per year, • A transparent, collaborative, and supportive culture Our stack (today) • Backend: Python, Flask, • Data: Postgres, • Cloud: AWS, • Edge: Cloudflare, • Infrastructure as Code: Terraform, • Delivery: CI/CD, automated testing, observability tooling How we work • Pragmatic, high-ownership teams with a bias to shipping, • Clear communication, strong collaboration, and continuous improvement, • Code reviews and sensible standards that keep quality high without slowing delivery Interview process • 30-min intro call (role fit, values, ways of working), • Practical exercise (small take-home or pairing session), • Technical interview (backend fundamentals, API design, production thinking), • Team chat + Q&A

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

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

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.

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

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

👋 About 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

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!

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.

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

Senior Core Systems Developer Remote - UK or Europe About us At Auros, we’re dedicated to advancing the cryptocurrency ecosystem through unparalleled liquidity and market-making services. We’re one of the largest participants in the market, trading across 10+ global locations, facilitating 3-4% of global daily volumes, and have connectivity to over 50 venues. What sets us apart, though, is our culture. We believe in hiring smart people and empowering them to do their best work. From day one you’ll have the autonomy and support to really excel. Our relentless focus on delivery drives us to continuously push boundaries and achieve exceptional results, all while offering abundant opportunities for personal and professional growth in the dynamic realm of digital assets. The Opportunity • Develop trading system infrastructure in Python and C# as directed., • Work with traders, middle office and other stakeholders to understand the core problems that each of the teams is facing, in both Cefi and Defi environments and design solutions., • Deploy trading system components in to our production environment., • Be responsible for troubleshooting system issues as and when they occur., • Identify opportunities for system improvements., • Engage with the team during system design discussions, code reviews, trading idea brainstorms. Who you are Our ideal candidate will have: • Software engineer with 5+ years experience in developing clean, maintainable, performant code., • You have 3+ years experience developing in both Python and C#., • Good programming skills, with a strong understanding of data structures and algorithms., • You can find the balance between delivering clean, testable, reliable code and rapidly deploying new system features to take advantage of market opportunities., • You are reliable, take pride in delivering robust software and are willing to be on call to support the systems you develop., • You’re able to precisely articulate software concepts and designs., • You have a Bachelor's degree (or above) in Computer Science, Software Engineering or similar, with excellent results. What We Offer in Return • Opportunity to work at the forefront of the digital asset industry., • Remote and flexible work., • Autonomy and a flat structure means you can contribute your ideas from day one and help shape the foundation that will power our future business. At Auros, we value nimbleness, drive for success, owner mentality, and collaboration. Join us in shaping the future of financial services across Asia and beyond!

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

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 ⚡

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.

Senior Applications Engineer - Connect Fibre Working from Home £65,000 per annum plus benefits The Company Founded in 2020 by a team of like-minded, very experienced telecoms professionals, we have one vision; to deliver. We are a rapidly growing fibre broadband business with a bold plan for the rapid rollout of multi-gigabit full-fibre broadband networks and services to communities across the UK. We are seeking a motivated and detail-oriented Application Engineer to join our dynamic team supporting the development, implementation, and maintenance of software applications. Working closely with other engineers and cross-functional teams you will ensure the successful delivery of high-quality solutions that meet business and customer requirements. This is an excellent opportunity to play a big part in our transformation plans. The Role • Design, develop, test and implement backend services and integrations using Python and modern frameworks., • Build and maintain frontend applications using PHP, JavaScript/TypeScript and frameworks like Angular or Vue., • Lead development projects through the entire lifecycle and mentor junior engineers., • Troubleshoot and resolve complex technical development issues, providing timely and effective solutions., • Contribute to the creation and maintenance of technical development documentation, including user guides, system documentation, and design specifications., • Conduct regular code reviews to maintain code quality, performance and adherence to coding standards., • Work closely with other engineers, product owners, and other stakeholders to understand project requirements and contribute to the design and development process., • Suggest and implement improvements & best practices to the development process, ensuring efficiency and quality in application delivery., • Working closely with the wider Technology team to align system direction and deliver improvements., • Helping shape technical decisions and taking part in solution design discussions. The Candidate A developer with a proven track record in supporting successful development projects, involved in the full development lifecycle from analysis to development. • 5+ years in software development or application development., • Strong skills in at least one programming language - Javascript, Python, PHP., • Understanding of web technologies (HTML, CSS, JavaScript) is a bonus., • Experience with Wordpress and WooCommerce would be beneficial., • Familiarity with software development methodologies (Agile, Scrum, Devops etc.) and version control., • Experience of Cloud infrastructures Azure or AWS., • Working experience of API and REST API integrations., • Strong analytical and problem-solving skills to identify and mitigate development risks effectively., • Experience of development and integration of SAAS applications, Hubspot beneficial but not essential., • Knowledge of geopandas, numpy, node or SQL is desirable but not essential., • Experience with GIT and Docker processes., • Excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders., • Strong problem solving skills and leadership abilities. Personal Profile & Working Conditions Location: Candidates must be currently resident in the UK and with either UK citizenship or indefinite leave to remain. Candidates will: ▪ Be self-starters, able to demonstrate enthusiasm, tenacity and the ability to prioritise tasks in a rapidly changing environment. ▪ Be able to work effectively in a remote/hybrid working environment with minimal day-to-day supervision. ▪ Be able to demonstrate the ability and willingness to work in a dynamic, rapidly growing organisation. ▪ Be able to collaborate effectively across the organisation. Effective communication is essential. Connect Fibre operates a hybrid working model with main emphasis on home working with intermittent visits to company office locations, in particular the main office in London. The Rewards • Salary: £65,000 per annum, • 25 days holiday plus Bank Holidays plus Birthday Off (pro-rata), • Company Pension Contribution, • Private Medical and Dental package, • £1,500 Employee Referral Scheme, • Family Friendly Support Package, • Influence key transformation projects, including OSS integrations and a new eCommerce platform, in a growing UK broadband business., • Flexible remote or hybrid working, with regular in‑person workshops and very occasional team meetings in London to support collaboration and alignment. Connect Fibre offers excellent team and business building opportunities. Please see www.connectfibre.co.uk for more information on our exciting new business! Interested applicants should, in the first instance apply here or send an up-to-date CV to: Paul Blunt at Connect Fibre paul.blunt@connectfibre.co.uk. All applications will remain strictly confidential.

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.

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

💰 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.

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

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

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.

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.

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.

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.