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AI Agentic Engineer (MedTech) We’re partnering with an innovative MedTech company in North of England that is building next-generation intelligent healthcare solutions. They are now looking for an number of AI Agentic Engineer to help design, build, and deploy autonomous AI systems that will directly support clinical and operational decision-making. This is a highly impactful role where you’ll be working at the intersection of AI, software engineering, and healthcare innovation - developing agent-based systems that can reason, plan, and act within real-world medical workflows. You’ll be joining a forward-thinking engineering team that is scaling rapidly, with a strong focus on responsible AI, performance, and real-world application. What you’ll be doing You’ll design and develop AI agent systems that can interact with tools, APIs, and data sources to complete complex tasks autonomously. You’ll work closely with product and engineering teams to translate clinical and operational requirements into scalable AI-driven solutions, while ensuring safety, reliability, and interpretability are built into everything you deliver. What we’re looking for We’re looking for engineers with strong experience in AI/ML or software engineering who are excited by agentic AI systems and real-world applications. Key skills and experience include: • Strong Python development experience, • Hands-on experience with LLMs and agent frameworks (e.g. LangChain, LlamaIndex, AutoGen or similar), • Understanding of prompt engineering, RAG pipelines, and tool-using AI systems, • Experience working with APIs, data pipelines, and cloud platforms (AWS, Azure or GCP), • Background in healthcare, life sciences, or regulated environments, • Experience with AI safety, evaluation, or model monitoring Interested? Please Click Apply Now! AI Agentic Engineer (MedTech)

Data Engineer - SC Cleared / SC Eligible Location: Newcastle upon Tyne About the Role We are working with a leading organisation who are building a brand-new engineering and data function in Newcastle. They are looking to hire multiple Data Engineers across Junior, Mid-level, and Senior levels. Due to the nature of the projects, candidates must hold active SC Clearance or be eligible to obtain SC Clearance. This is an exciting opportunity to work on complex, high-impact data platforms, helping to design, build, and maintain scalable data pipelines and cloud-based data solutions. Key Responsibilities • Design, build, and maintain scalable data pipelines and ETL processes., • Develop and optimise data models for analytics and reporting., • Work closely with software engineers, analysts, and stakeholders., • Ensure data quality, reliability, and performance., • Implement best practices in data engineering, governance, and security., • Build and maintain cloud-based data platforms., • Support deployment, monitoring, and troubleshooting of data systems., • Mentor junior engineers (for mid and senior level roles). Required Skills & Experience We are open to candidates from a wide range of technical backgrounds. The technology stack is flexible, but experience in some of the following are nice to have: Data Engineering & Programming: • Python, • SQL, • Spark / PySpark, • Scala, • Data modelling and warehousing concepts Cloud & Platforms: • AWS (S3, Redshift, Glue, EMR, Lambda), • Other cloud platforms (Azure / GCP considered), • Data lake and data warehouse architectures General: • Strong problem-solving skills, • Experience working in agile environments, • Good communication and stakeholder engagement, • Understanding of secure data handling practices Security Clearance • Active SC Clearance OR eligibility to obtain SC Clearance is mandatory., • Must have lived and worked in the UK for the past 5 years. Experience Levels Junior: • 0–2 years commercial experience, • Strong fundamentals and eagerness to learn Mid-Level: • 2–5 years commercial experience, • Ability to work independently and contribute to design Senior: • 5+ years commercial experience, • Strong technical leadership and mentoring capability Benefits • Competitive salary (dependent on experience), • Hybrid working model, • Excellent career development and training opportunities, • Modern cloud-based data platforms, • Greenfield projects and long-term programmes, • Supportive, collaborative culture If you are a Data Engineer looking for your next challenge and hold (or are eligible for) SC Clearance, we would love to hear from you.

⚡ Test Development Engineer (Electronics / Automated Test Equipment) 📍 Location: Newcastle Upon Tyne (on-site) 💰 Salary: £45,000 + benefits 🕒 Job Type: Full-time 🏭 Sector: Engineering / Electronics / Manufacturing 🚀 About the Role A well-established and growing engineering and manufacturing organisation is looking for a Test Development Engineer to join its Engineering team. This role focuses on the development, validation, and continuous improvement of testing solutions for advanced electronic systems used in high-performance applications. You will be responsible for designing automated test equipment (ATE), supporting production, and contributing to New Product Introduction (NPI) and risk analysis (PFMEA) activities. This position is ideal for someone who enjoys combining hands-on engineering, software development, and problem-solving in a collaborative environment. 🔧 Key Responsibilities 🧪 Test Development & Validation • Design and execute test plans and specifications for new electronic products, • Ensure alignment with customer requirements and internal quality standards, • Design, develop, and implement custom automated test systems and fixtures, • Develop and maintain software for controlling test equipment (e.g. LabVIEW, Python, C/C++), • Maintain and optimise existing test systems to ensure accuracy, reliability, and efficiency, • Provide technical troubleshooting and diagnostic support to production teams, • Deliver training and guidance to technicians on test equipment and procedures, • Verify and validate test equipment against defined requirements and standards, • Maintain clear and accurate documentation in line with quality management systems, • Produce detailed test reports and communicate findings to stakeholders 🧠 Skills & Experience ✅ Essential • Degree in Electrical & Electronic Engineering or equivalent practical experience, • Experience in electronics test engineering within a manufacturing or production environment, • Strong programming skills for test automation and control systems, • Proven fault-finding and troubleshooting capability, • Experience with LabVIEW or similar test platforms, • Knowledge of Python, C, C++ or C#, • Experience with SQL databases for data acquisition and analysis, • Exposure to AI-assisted development tools for engineering applications Possible Keywords Test Development Engineer, Electronics Test Engineer, Automated Test Equipment Engineer, ATE Engineer, LabVIEW Engineer, Test Automation Engineer, Electrical Engineering Jobs UK, Manufacturing Engineer, NPI Engineer, PFMEA, Test Systems Engineer

Software Engineer – SC Cleared / SC Eligible Location: Newcastle upon Tyne About the Role We are working with a leading organisation who are building a brand new Software Engineering team in Newcastle. They are looking to hire multiple Software Engineers across Junior, Mid-level, and Senior levels. Due to the nature of the projects, candidates must hold active SC Clearance or be eligible to obtain SC Clearance. This is an excellent opportunity to join a growing team, work on meaningful and technically interesting projects, and shape the direction of a newly formed engineering function. Key Responsibilities • Design, develop, test, and maintain high-quality software solutions., • Work collaboratively within agile, cross-functional teams., • Contribute to architectural decisions and technical design., • Build scalable, secure, and high-performing applications., • Participate in code reviews and promote best engineering practices., • Support deployment, monitoring, and maintenance of applications in production., • Mentor junior engineers (for mid and senior level roles). Required Skills & Experience We are open to candidates from a wide range of technical backgrounds. The technology stack is flexible, but experience in some of the following is highly desirable: Programming Languages: • Python, C++, Go, Rust Cloud & DevOps: • AWS or other major cloud platforms, • CI/CD pipelines, • Docker, Kubernetes, Terraform, • Monitoring and logging tools General: • Strong software engineering fundamentals, • Experience working in agile environments, • Good problem-solving and communication skills, • Understanding of secure development practices Security Clearance • Active SC Clearance OR eligibility to obtain SC Clearance is mandatory., • Must have lived and worked in the UK for the past 5 years. Experience Levels Junior: • 0–2 years commercial experience, • Strong fundamentals and eagerness to learn Mid-Level: • 2–5 years commercial experience, • Ability to work independently and contribute to design Senior: • 5+ years commercial experience, • Strong technical leadership and mentoring capability Benefits • Competitive salary (dependent on experience), • Excellent career development and training opportunities, • Modern tech stack and greenfield projects, • Supportive, collaborative culture If you are a Software Engineer looking for your next challenge and hold (or are eligible for) SC Clearance, we would love to hear from you.

DevOps Engineer Newcastle Up to £60,000 S/C Clearable Ready to work on large‑scale cloud platforms that make a real impact? We’re hiring a DevOps Engineer to join a high‑performing team in Newcastle, helping teams build, test and deploy modern software solutions for complex public and private sector projects. What you’ll have the opportunity to do as a DevOps Engineer: • Building and supporting CI/CD pipelines for development teams, • Automating cloud infrastructure using Infrastructure as Code, • Managing key DevOps tools and improving delivery processes, • Supporting cloud services, integrations and system monitoring, • Working as part of an Agile team to continuously improve delivery About the Candidate The right DevOps Engineer should have: • Experience in a DevOps or platform engineering role, • Hands‑on experience with CI/CD and cloud platforms (AWS preferred), • Experience with Infrastructure as Code (Terraform, CloudFormation, AWS CDK, Ansible), • Linux experience and a scripting language (Python, Bash, PowerShell, Node.js or TypeScript), • Eligible for Security Clearance (5+ years UK residency) What’s in it for you? • Salary from £45,000 to £60,000, • Hybrid working based in Newcastle, • 25 Days holiday per annum, • Extensive benefits package, • Continuous training provided for career progression To hear more about the DevOps Engineer role contact Daire McIlhatton at

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)

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

DevOps Engineer - FinTech - Newcastle (Tech stack: DevOps Engineer, PowerShell, C#, Java, Python, Ansible, Terraform, Docker, Kubernetes, Docker Swarm, ELK, Grafana, CI/CD, TeamCity, SQL Server, Windows, Linux, Programmer, Developer, Architect, DevOps Engineer) Our client is a cutting-edge FinTech company with a reputation for innovation and excellence. They design and build advanced trading and analytics platforms used globally by some of the world's leading financial institutions. With ambitious plans for growth and new product launches, they are now seeking a talented DevOps Engineer to join their team in Newcastle. As a DevOps Engineer, you will be responsible for creating, maintaining, and optimising the infrastructure and pipelines that support highly complex financial software platforms. You'll work closely with developers and stakeholders, ensuring deployments are seamless, environments are robust, and systems are both secure and scalable. This is a fantastic opportunity to apply your technical expertise in a collaborative, fast-paced environment where innovation is actively encouraged. The successful candidate will bring: • A 2:1 degree or above in Computer Science (or related), ideally from a top university., • Strong ability in scripting with PowerShell or a similar language., • Hands-on coding skills in at least one of C#, Java, or Python., • Practical knowledge of automation tools such as Terraform or Ansible., • Background in container platforms (e.g., Docker) with orchestration using Kubernetes or Swarm., • Familiarity with system monitoring solutions (e.g., ELK, Grafana, or similar)., • Proven track record in building and maintaining CI/CD pipelines, preferably with TeamCity., • Experience working with SQL databases, particularly Microsoft SQL Server., • Comfort managing both Windows and Linux environments., • Working knowledge of Atlassian products such as JIRA or Bitbucket., • Exposure to artifact management tools like Artifactory., • Deployment automation experience with Octopus Deploy., • Awareness of code quality and analysis tools (e.g., SonarQube)., • Background with job scheduling platforms such as Control-M., • Experience with major cloud providers (Azure, AWS, GCP). This is an exceptional opportunity to join a forward-thinking organisation where your contributions will directly shape the delivery of world-class FinTech products. Location: Newcastle, UK (Fully Office Based) Salary: £50,000 - £90,000 + Bonus + Benefits Applicants must be based in the UK and have the right to work in the UK. Noir continues to be the leading Microsoft recruitment agency; we can help you make the right career decisions! NOIRUKTECHREC NOIRUKREC

Applied AI Engineer – Defence & Security Location: Newcastle SC Cleared / Eligible The Opportunity Join a forward-leaning engineering team applying cutting-edge AI in real-world, mission-critical environments. This role focuses on integrating AI capabilities into production systems, ensuring they are reliable, secure, and deliver measurable impact. What You’ll Do • Integrate AI/ML components into applications and operational workflows, • Design and implement Retrieval-Augmented Generation (RAG) solutions, • Evaluate LLM performance, identify failure modes, and implement mitigation strategies, • Test, debug, and improve non-deterministic AI systems, • Balance AI approaches with deterministic or statistical methods where appropriate, • Collaborate with engineers, data scientists, and stakeholders to deliver production-ready AI solutions What You’ll Need • Experience building or integrating AI/ML systems into real-world applications, • Strong understanding of LLMs, ML models, and core statistical concepts, • Experience evaluating AI systems and improving reliability and performance, • Ability to debug complex, non-deterministic behaviours, • Strong communication skills to explain AI trade-offs and risks Bonus Skills • Hands-on experience with RAG architectures and LLM tooling, • Experience working in regulated or high-assurance environments, • Familiarity with AI safety, risk, and governance considerations, • Background in software engineering (Python or similar) Security Requirement SC clearance (or willingness/eligibility to obtain) is required.

Data Engineer Location: Newcastle (Hybrid, 2–3 days onsite) Salary: Up to £65,000 base + package NOTE: Candidates for this opportunity must be eligible for UK Security Clearance (SC). This is an opportunity to join a high-performing technology team delivering cutting-edge data solutions across complex environments. You’ll be part of an advanced engineering function focused on building scalable, cloud-native data systems that power analytics, AI, and business-critical decision-making. What You’ll Be Doing Data Engineering & Pipeline Development • Design, build, and optimise scalable data pipelines (batch and real-time), • Work primarily with Java, with exposure to Python and streaming frameworks such as Kafka, Flink, or Spark, • Develop event-driven architectures and streaming integrations, • Contribute to modern data architecture patterns (e.g. medallion architecture), • Ensure high standards of data quality, governance, lineage, and security, • Deploy data solutions using CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins), • Manage infrastructure using IaC tools such as Terraform or CloudFormation, • Partner with analytics, AI, and product teams to deliver high-quality datasets, • Contribute to code reviews and engineering best practices, • Support and mentor junior team members where appropriate Requirements • 3+ years’ commercial experience in Data Engineering or large-scale data systems, • Strong programming skills in Java (preferred) or Python, • Hands-on experience with Kafka, Flink, or Spark (streaming focus is a strong advantage), • Solid understanding of streaming concepts (event time, state, backpressure), • Experience building ETL/ELT or real-time data pipelines, • Familiarity with AWS (or Azure/GCP), • Knowledge of distributed systems, microservices, and performance optimisation, • Experience with CI/CD, Git, and modern software engineering practices Nice to Have • Exposure to platforms like Databricks, Snowflake, or BigQuery, • Experience in consulting or client-facing environments, • Cloud or data engineering certifications, • Experience mentoring or supporting junior engineers If you’re a Data Engineer who thrives on building scalable, real-time data solutions, apply today.

👋 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

About Accelerant Accelerant is a data-driven risk exchange connecting underwriters of specialty insurance risk with risk capital providers. Accelerant was founded in 2018 by a group of longtime insurance industry executives and technology experts who shared a vision of rebuilding the way risk is exchanged – so that it works better, for everyone. The Accelerant risk exchange does business across more than 20 different countries and 250 specialty products, and we are proud that our insurers have been awarded an AM Best A- (Excellent) rating. For more information, please visit ___. Full Stack Software Engineer - Data Observability & Operational Tooling Accelerant is building a new platform that will serve as the backbone of how risk is exchanged in the future. The Data Observability team is looking for a Full Stack Software Engineer with a front-end emphasis to build and serve the internal operational tooling and data observability capabilities that power our data platform. This is a unique role: you'll be a software engineer embedded within a data analytics engineering team, working with a high degree of independence to design and deliver tooling that makes data pipelines visible, actionable, and trustworthy for stakeholders across the business. What you'll be doing • Designing and building front-end interfaces for internal operational tooling, including dashboards, data observability views, and stakeholder communication surfaces, • Developing rich data visualizations that surface pipeline health, data quality metrics, and business KPIs to technical and non-technical audiences, • Building and maintaining backend services that support operational tooling, integrating with data infrastructure such as Snowflake, dbt, and monitoring platforms, • Collaborating closely with data engineers, analytics engineers, and business stakeholders to translate data observability requirements into intuitive, high-quality interfaces, • Working independently as a software engineer within a data-focused team, driving technical decisions for the tooling layer while leveraging other full stack teams across the organization for guidance and support, • Shipping iteratively, balancing speed of delivery with code quality, maintainability, and scalability What you bring to the table • Experience building and scaling web applications, with particular strength in front-end development, • Strong understanding of modern JavaScript/TypeScript frameworks and component-based architectures, • Comfort working with data-heavy interfaces: tables, charts, filters, and interactive visualizations, • Ability to work independently and drive projects end-to-end with minimal oversight, • Strong coding ability and a track record of shipping high-quality software, • Excellent communication skills, with the ability to collaborate effectively with data engineers, product managers, and business stakeholders, • Passionate problem-solving mindset and a strong sense of ownership. Desired qualifications • Experience with TypeScript, • Experience with Svelte, or equivalent modern component framework (React, Vue), • Experience building data visualization and dashboard interfaces (e.g., D3.js, Chart.js, Plotly, or similar), • Experience with cloud platforms such as AWS, • Familiarity with data platforms and tools such as Snowflake, dbt, or similar analytics infrastructure, • Experience with SQL and comfort working with analytical data sets, • Experience with Python is a plus, given the data team's tooling ecosystem, • Experience with monitoring and observability platforms (e.g., Datadog, Grafana) is a plus.

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 ⚡

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 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

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

About Plessey We’re building the hardware foundation for next-era computing. Plessey is a world-leading technology company driving the next generation of photonic devices and systems. With over 70 years of innovation, we combine research, materials science, process engineering, and manufacturing under one roof. We’re recognised as a global authority in microLED displays, optical computing, and optical interconnects. Join us to work on breakthrough technologies shaping the future of light-based technology and computing. Lead We don’t follow industry trends; we create them, pushing boundaries and setting standards others aspire to. Every team member has the power to make decisions, drive change, and deliver excellence. We support each other, challenge one another for the best solutions, and lead by example. Together, we build industries and technologies that shape the future and scale toward our vision of the next era of computing. Grow We expand our capabilities every day — deepening our expertise, improving how we work, and pushing the boundaries of what’s possible. Curiosity fuels us: we question assumptions, explore new ideas, and innovate with light-based technologies. By investing in and empowering our people, we strengthen Plessey’s impact and help shape the future of optical technology. Trust We operate like a family—honest, reliable, and supportive. We have each other’s backs, own our actions, and uphold the highest standards of integrity and safety. We trust each other to deliver, our customers to challenge us, and our expertise to guide the way. Together, trust enables the collaboration essential for breakthrough innovation and lasting impact. Location Located at our head office and state-of-the-art fabrication facility in Plymouth. About the Role We are looking for a Senior Software Engineer to support the development of automated reliability and characterisation test systems for MicroLED devices. The role combines test software development, instrument control, and data analysis, supporting both the execution of reliability campaigns and the analysis of device performance and degradation. The engineer will work closely with hardware engineers and test engineers to develop software tools that control laboratory equipment, automate test procedures, and analyse large datasets generated during device testing. Key Responsibilities • Develop and maintain automated test software for reliability and characterisation systems., • Interface with laboratory instruments and test hardware using LabVIEW, C++, and Python., • Support the execution of device reliability campaigns and engineering experiments., • Develop tools for data collection, processing, and analysis., • Work with engineering teams to interpret results and identify device behaviour trends., • Contribute to improving the automation and robustness of internal test platforms. Skills, Knowledge and Expertise • Master’s degree in Physics, Electronic Engineering, or a related discipline., • Proficiency in LabVIEW and C++., • Working knowledge of Python for data processing and analysis., • Hands-on experience with communication protocols such as SPI and I²C., • Experience working with laboratory bench instruments such as power supply units (PSUs), oscilloscopes, pattern generators and multimeters., • Strong analytical mindset with attention to detail., • Ability to work independently with minimal supervision. Advantage • Experience with NI TestStand for automated test environments., • Background or practical experience in semiconductor device testing., • Experience analysing large datasets and developing mathematical models for device behaviour and degradation., • Familiarity with reliability testing methodologies (e.g., lifetime or stress testing).

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.

Who We Are Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver and Bangalore, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Who You Are The AI Implementation Engineer owns the technical delivery and stabilization of Ema's agentic AI solutions in customer environments — from commitment through production rollout and steady state. This is a hands-on, post-sales, customer-facing engineering role: you build, you deliver, and you are the technical anchor the customer leans on. You are equally comfortable writing production code, debugging an integration the night before a go-live, walking a customer's VP of Operations through an architecture decision and translating a messy business problem into a feasible agentic workflow. You thrive in ambiguity, make abstract problems concrete, and reduce chaos rather than amplify it when things go wrong. You'll work closely with Value Engineering, Product, Engineering, Infrastructure, and the customer's IT and business teams to prove that agentic AI can be implemented responsibly — not heroically. What You'll Work On End-to-End AI Delivery Ownership • Own technical delivery from design alignment through production rollout and Stabilization, • Configure, extend, and integrate Ema's agentic AI platform to meet customer requirements, • Write clean, efficient, maintainable code to build customer integrations, custom agents, and workflow extensions, • Build and maintain APIs (REST, gRPC) and integrations across enterprise SaaS systems, • Work with back-end languages such as Python and Go, and contribute to front-end interfaces (React/Angular, HTML, CSS, JavaScript) where customer-facing tooling is needed, • Develop deep understanding of each customer's business processes, systems, and constraints, • Translate business workflows into feasible agentic AI workflows — and push back when something shouldn't be built, • Be the primary technical point of contact for customer business and IT stakeholders during implementation, • Coach customer teams and internal partners during high-stress phases — go-lives, incidents, scope changes, • Stand systems up in multi-tenant SaaS environments and harden them for production, • Apply security best practices and enterprise integration patterns (auth, RBAC, audit, compliance), • Track success through adoption signals and outcome metrics — not just feature shipment, • Coordinate across Ema Engineering, Product, Data, Infrastructure, and Value Engineering, • Feed customer learnings back into product and platform improvements, • Contribute to shared standards, delivery discipline, and reusable patterns across the implementation team Ideally, You'd Have • 5–8 years of relevant experience in technical implementation, post-sales engineering, solutions engineering, or hands-on software engineering with significant customer-facing exposure, • Bachelor's degree in Computer Science or related field, • Hands-on production experience with agentic AI, automation, LLM applications, or workflow orchestration platforms — beyond pilots, • Strong back-end engineering skills in Python and/or Go; solid foundations in algorithms, data structures, and object-oriented programming, • Experience designing and building APIs (REST, gRPC) and integrations across enterprise systems, • Working knowledge of databases (PostgreSQL, Elastic, Redis, Clickhouse) and front- end frameworks (React or Angular), • Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes), • Experience deploying and operating software in multi-tenant SaaS environments, • Understanding of security best practices and protocols for enterprise software, • Track record of owning customer-facing delivery end-to-end — production, scale, and accountability, • Background in fast-growing startups or enterprise platform companies, • Strong technical judgment, calm under pressure, and excellent written and verbal communication with both engineers and business stakeholders, • Experience working with global, distributed teams Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.

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 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.

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.

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.

Job Title - Lead Software Engineer Location - Fully Remote (Must be UK resident with RTW) Salary - Up to £60,000 + bonus + benefits Role purpose We are looking for a Lead Software Engineer to help shape the technical direction of our growing engineering team. This is an ideal role for a strong mid-level or senior engineer who is ready to take their first formal step into technical leadership. You may already be the person others go to for technical guidance, design decisions or support, but you are now looking for a role where you can grow into line management, coaching, architectural ownership and broader technical decision-making. You will manage a small team of software engineers, with up to five direct reports. You will report directly to the Head of Technology, who has a software engineering background with over 20 years of experience. This gives the role strong support, direct visibility and real influence over how the technology function develops. The business is growing, and this is a high-impact role. You will help shape our systems, tooling, architecture and engineering practices as we scale. Key responsibilities Technical leadership • Lead technical delivery across a small team of software engineers., • Help engineers break down problems, make good technical choices and deliver high-quality work., • Set clear technical direction while still staying close enough to the code to guide and support the team., • Own architectural thinking across our application systems., • Make or guide decisions around system design, technical patterns, tooling and platform direction., • Ensure our systems are scalable, maintainable, secure and reliable., • Line manage up to five software engineers., • Support engineers with regular feedback, coaching and development., • Create a team environment where people learn, share knowledge and improve together., • Own and improve engineering standards across the team., • Promote good practices around testing, code quality, documentation, observability and release safety., • Support a healthy code review culture where anyone can review anyones work., • Provide technical direction on cloud architecture and infrastructure design., • Work with the Platform Engineer on CI/CD, infrastructure as code and cloud best practices., • Help shape how we use Azure, Pulumi and related tooling., • Help the team use AI tools effectively and responsibly as part of modern software development., • Use and guide others on tools such as OpenCode, Claude Code and OpenAI Codex., • Bring experience of other AI coding tools and workflows where useful. Skills and experience Essential • Strong software engineering experience, ideally across Python and React., • Good system design and architectural thinking., • Experience contributing to technical decisions beyond individual tickets., • Good understanding of Git, feature branching, pull requests and code reviews., • Comfortable coaching, mentoring or supporting other engineers., • Strong communication skills and the ability to explain technical trade-offs clearly., • Comfortable working with AI tools as part of engineering delivery., • Previous experience as a senior engineer, technical lead or informal team lead., • Exposure to line management or mentoring., • Experience with CI/CD pipelines., • Experience with infrastructure as code., • Experience with Pulumi., • Good understanding of cloud architecture and cloud best practices., • Experience with Azure., • Experience with Shopify., • Experience working closely with platform, DevOps or infrastructure engineers., • Awareness of security, observability and reliability best practices. What we are looking for This role is not necessarily for someone who has already been a long-standing engineering manager. It is for someone with strong technical capability who wants to step into leadership properly. You should enjoy helping other engineers improve, thinking about architecture, making technical decisions and creating the conditions for a team to do good work. You will need to be pragmatic, hands-on and comfortable with ownership. The team is small, so this is not a detached management role. It is a technical leadership role with real influence, real responsibility and direct access to the Head of Technology. Benefits • Bonus scheme., • Fully remote working., • Home office setup allowance., • Training and development budget., • BUPA health care plan., • Birthday off., • Volunteer days., • High-impact role in a growing business.

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, • 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, • The chance to help shape a growing data platform and engineering culture, • Clear progression opportunities as the data team continues to expand 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.

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.

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

Principal Data Platform Engineer Java, Kafka, AWS Remote (UK‑based) Permanent – Up to £130,000 + Benefits Security Clearance Requirement For this role, you must be eligible for SC Clearance. Due to the secure nature of the work, this requires British Citizenship, as some data is UK Eyes Only. Overview We are seeking an experienced Principal Data Platform Engineer to play a key technical leadership role within a high‑impact programme delivering secure, scalable, real‑time data platforms for critical UK Government and national infrastructure clients. This is a hands on senior engineering role with significant responsibility for technical direction, architecture design, client assurance, and mentoring. You will work closely with both internal teams and client stakeholders, helping shape solutions from early concept through to production delivery. The Role As a Principal Data Platform Engineer, you will provide technical leadership across multiple data platform initiatives, designing and assuring highly available, low‑latency, and scalable batch and real‑time data solutions. You will act as a trusted technical authority, engaging directly with clients, producing high‑quality architecture designs, and ensuring proof‑of‑concept solutions are robust, secure, and production‑ready. Key Responsibilities • Lead the design and delivery of complex batch and real‑time data pipelines and backend services, • Produce high‑level and low‑level architecture designs, ensuring alignment with security, scalability, and performance requirements, • Provide technical assurance for solution designs and proof‑of‑concepts prior to production implementation, • Act as a client‑facing technical lead, working alongside customer teams to define requirements, shape solutions, and build confidence, • Mentor and coach Lead and Senior Engineers, setting technical standards and raising overall engineering capability, • Drive and promote best engineering practices, including TDD, CI/CD, DevOps, and clean, maintainable code, • Influence technology choices and architectural patterns across the data platform estate, • Collaborate with architects, analysts, security specialists, and testers in Agile / BDD environments, • Oversee services in production, ensuring resilience, performance, and operational excellence, • Contribute to technical strategy, estimation, delivery planning, and roadmap definition, • Champion continuous improvement across data platform tooling, processes, and ways of working Required Experience • Extensive commercial experience with Java in production environments, • Strong experience designing and building Kafka‑based streaming platforms, • Hands‑on experience with Spark, Flink, Kafka Streams, or similar technologies, • Experience with Spring Boot and/or Python, • Deep experience working with AWS, including services such as Lambda, S3, and cloud‑native architectures, • Experience integrating with data stores such as PostgreSQL, Redis, or similar, • Strong understanding of data pipelines, data modelling, and distributed systems, • Proven experience leading technical designs and mentoring engineers, • Comfortable working in client‑facing roles, explaining complex technical concepts clearly, • Strong background in Agile, DevOps, and modern software delivery practices Desirable Skills • Experience with Elasticsearch, OpenSearch, or Solr, • Infrastructure‑as‑Code tools such as Terraform, Ansible, or Packer, • CI/CD tooling such as Jenkins, Drone, or similar, • Experience working within highly secure or regulated environments The Company You will be joining a UK‑based SME (circa 300 people) that designs, builds, and integrates highly secure data platforms for UK Government and national infrastructure clients. Teams work in integrated, collaborative environments, partnering closely with clients and internal subject‑matter experts. The organisation is known for its high technical standards, strong engineering culture, and genuinely supportive working environment. What’s on Offer • Fully remote working (UK‑based) for security reasons, • Competitive £130,000 salary plus benefits, • Opportunity to work on nationally critical systems, • Access to exceptionally talented engineers and architects, • A role with real technical influence and long term impact If this role is of interest, please apply.

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

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.

Pivotal Partners is exclusively partnered with a Series D ($1.1B) AI company defining the AI Software Development space. Backed by top-tier investors and founded by a deeply technical team (ex-Scale AI, Cursor, Modal, Google DeepMind, and Waymo), the company is already valued at $12B. With technical deployment and customer impact at the core of the GTM strategy, this Forward Deployed Engineer role is critical to how the product gets adopted, expanded, and defined in the real world. Location: London, England Role: Forward Deployed Engineer (FDE) As a Forward Deployed Engineer, you will own the technical success and real-world application of the platform across a number of our largest customers. This is a highly strategic, customer-facing engineering role focused on building, deploying, and iterating on solutions... not support. You’ll work directly with senior stakeholders (engineering, product, and leadership) to turn ambiguous problems into production-grade systems that influence real decisions. Why this role: • Opportunity to join and work with leading engineers from Anthropic, OpenAI, Palantir and Scale AI., • Highly technical role with direct exposure to real-world outcomes, • Work sits at the intersection of engineering, product, and strategy, • Genuinely new problem space — no established playbooks, • High ownership and autonomy from day one If you're an Software engineer/Full Stack Engineer who wants to move closer to the problem, the customer, and the decision making itself, this is worth a conversation. Responsibilities: • Own the technical relationship for a portfolio of enterprise customers, • Scope and break down ambiguous, high-impact problems into solvable components, • Design and build production-grade systems (APIs, data pipelines, integrations), • Deploy solutions into real-world workflows that directly influence decision-making, • Act as a trusted advisor to senior engineers, architects, and executives, • Translate customer use cases into actionable product and engineering insights, • Partner closely with Product and Engineering to shape roadmap and capabilities, • Help define and scale how this technology is applied across industries Requirements: • MUST HAVE A STEM degree, • Strong software engineering fundamentals (Python, TypeScript, or similar), • Experience building backend systems, data pipelines, or distributed systems, • Comfortable working with APIs, integrations, and modern infrastructure, • Ability to operate in ambiguous, fast-moving environments with minimal structure, • Strong communication skills across both technical and non-technical audiences, • Experience in customer-facing technical roles (FDE) is beneficial but not required

About the client Our client is a confidential leading international integrated energy company with a strong global project engineering capability, currently driving an ambitious energy transition programme spanning CCS/CCUS, renewables, and hydrogen alongside its traditional oil and gas portfolio. The Basingstoke engineering office is a fully integrated project execution hub delivering multi-discipline engineering across all phases of complex projects worldwide, with a dedicated Subsea Systems department at its core. Project scope The assignment is based within the client's Basingstoke Subsea Systems department, providing Flow Assurance technical leadership across multiple concurrent international oil and gas projects — from feasibility and concept development through FEED, detailed engineering, and handover to operations. The role also extends to CCUS projects, covering CO₂ transportation system assessment and thermo-hydraulic studies specific to CO₂ transport. The Senior Engineer will operate as both a technical lead and a Discipline Project Lead (PDL), accountable for Flow Assurance deliverables across assigned projects and responsible for mentoring junior engineers within the discipline. The client operates a hybrid working policy: up to 12 working days per month from home are available, enabling approximately 60% remote working. Role overview To provide senior Flow Assurance technical leadership across the full project lifecycle — from conceptual studies through FEED, tendering, detailed engineering, and operations support — ensuring technical rigour, cross-discipline integration, and compliance with applicable standards across the client's international oil and gas and CCUS projects. Reporting line: You will report to the Flow Assurance Coordinator and the Chief of Subsea Systems, and work in daily coordination with discipline engineers, interface disciplines (Pipelines/Subsea, Process/Facilities, Operations), contractors, and reservoir and laboratory teams. Key responsibilities Technical delivery • Prepare all Flow Assurance technical documentation across project phases: conceptual study, FEED, tendering, contract package preparation, detailed engineering, and operations, • Review and approve FEED, tender, and detailed engineering deliverables prepared by contractors for the Flow Assurance discipline, • Identify, define, and analyse complex multiphase hydrocarbon transportation schemes, • Assess CO₂ transportation systems, evaluate operating envelopes, and support thermo-hydraulic studies for CCUS projects, • Provide technical support to interface disciplines — Pipelines/Subsea, Process/Facilities, Operations — ensuring integrated solutions across all project phases, • Support operations and troubleshoot start-up and commissioning issues as required Procurement & contractor management • Follow up supplier calls for tender and selection processes: qualifications, clarifications, and technical recommendations for the Flow Assurance discipline, • Manage interfaces with reservoir engineering and laboratory teams throughout the project lifecycle Project leadership & PDL duties • Act as Discipline Project Lead (PDL) on assigned complex projects: perform technical and administrative PDL functions, • Proactively identify and report manhour and schedule variations due to scope changes; escalate to the Flow Assurance Coordinator and Chief of Subsea Systems, • Support the Flow Assurance Coordinator and Chief of Subsea Systems in preparing manhour estimates for new proposals, • Liaise with engineering disciplines throughout the project execution phase; coordinate and manage cross-discipline interfaces Standards, mentoring & continuous improvement • Ensure awareness of and compliance with international standards and codes applicable to Flow Assurance, • Advise on correct interpretation and application of company internal standards and HSEQ policies; develop new standards as required, • Mentor engineers within the Flow Assurance team; contribute to knowledge sharing and continuous improvement across the discipline, • Support technical and safety reviews: HAZOP, HAZID, risk assessments, design and safety reviews Key deliverables • Flow Assurance technical documentation delivered on schedule and to the required quality standard across all assigned project phases, • Contractor and FEED deliverables reviewed and approved within defined timescales, • Manhour estimates and variation forecasts provided accurately and proactively, • PDL functions performed rigorously across assigned complex projects, • Junior engineers mentored with structured guidance and discipline knowledge transfer Requirements Education • Degree in Engineering with graduate-level knowledge of thermodynamics and fluid dynamics — petroleum, chemical, mechanical, or related discipline Experience Must-have: • Extensive experience as a Flow Assurance Engineer across the full project development lifecycle — from concept development through FEED, detailed engineering, and handover to operations, • Proven capability in identifying, defining, and analysing complex multiphase hydrocarbon transportation schemes, • Experience performing technical review of Flow Assurance documentation produced by team members and contractors, • Experience with Technical Audit and Design & Safety Reviews — HAZOP, HAZID, Risk Assessment, • Ability to manage complex and diverse assignments with a high degree of independent technical judgement Nice-to-have: • Operational experience (commissioning, start-up, or production support), • Experience on CCUS projects — CO₂ transportation system assessment and thermo-hydraulic modelling Technical skills • Proficient with Flow Assurance simulation software: OLGA, PVTSim, Multiflash, Pipenet, Pipesim, Hysys, Unisim, • Familiarity with programming languages (Matlab, C++, Python) — an advantage, • Strong understanding of international codes and standards applicable to Flow Assurance and subsea systems, • Knowledge of HSE and technical risk integration into engineering and project solutions Soft skills • Strong technical leadership and engineering judgement — able to operate independently at senior level, • Effective communicator across disciplines, stakeholder levels, and cultures — both laterally and vertically within the organisation, • Collaborative and multidisciplinary approach to project delivery, • Structured task prioritisation and ability to manage concurrent workstreams under pressure, • Fluent English — mandatory

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 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 . All applications will remain strictly confidential.

Note: no agencies/consultancies, must be in the UK with right to work We're building the digital infrastructure that makes clean energy work in the real world. Seventy million machines run on diesel. The alternatives exist. But the operations are complex, the supply chains are still emerging, and for most companies the transition feels risky. That's the problem we're solving. Logiq Systems builds the operational intelligence layer that makes clean energy work in the real world. One platform for fuel suppliers, rental companies, and asset operators to deploy, monitor, and optimise hydrogen, battery, solar, and alternative fuel systems — at the scale and reliability that industries actually need. We're live across construction, events, and industrial sectors with customers including Toyota, Balfour Beatty, Acciona, Sunbelt Rentals, and Protium. The technology works. Now we're scaling the team that scales the business. If you want to work on infrastructure that matters, in a company early enough that what you do shapes the industry, we'd like to hear from you. UNITED KINGDOM, REMOTE / FULL-TIME Role Summary: We are looking for a Senior Software Engineer (full-stack) to develop the Logiq platform. Working closely with our Head of Product, you will be responsible for building software that forms the core of our main business, as well as defining the long-term technical direction of Logiq Systems. Who we are today: Logiq Systems was founded in 2020 and is currently a team of five. Aran Bates and Ben Lindley are the founders, two friends turned colleagues. We are both dads of kids less than 5 years old (two each). Having both worked on this for two years self-funded (although now venture backed) we are driving a huge market shift in off-grid energy. While it is one that won't change with the speed of the AI bubble - this is infrastructure and hardware, not some Al wrapper over ChatGPT - it delivers sticky and lasting change with our customers and the industries we touch. As a team our passion and mission is improving the world around us, making it better for people and the planet. Our purpose pushes us to be the force of change in this industry. Not just in environmental sustainability by making the world less polluted from carbon, noise and poor air quality, but also in creating a supportive company flexible to the realities of modern life. A company with a diverse, equal, and respectful workforce. What does that really mean though? Well we recognise that talent can exist anywhere in the UK and that people have life commitments that can overlap with traditional 'core hours'. We are remote-first: As a team we are spread across the UK from Edinburgh to London, this means we can work with the best people out there. We also recognise the importance of building a sense of team, meeting regularly (at least once a quarter) and put a lot of emphasis into team building in the 'virtual' work environment also - e.g. daily team video calls, non- work Slack channels such as one specifically for sharing the music we are listening to. Although for this role there is a preference to have a candidate within around an hour of travel to Edinburgh or Oxford to work with the founders or the Head of product in person more regularly. Flexible working: To manage the interface of life and work we operate a flexible working policy, at the start of every week we have a whole team standup and in that we clearly communicate as a team what commitments people have that might cut into the working day or lead to a hard stop at the end of the day, so that as a team we can ensure that life and work fit together. Supporting women and primary carers in tech: Both Ben and Aran fully recognise the importance of building a supportive working environment for women and parents so they can continue a career, while remaining supportive and attentive to both kids and work. This has been heavily influenced through their experience as fathers and with partners who continue to have successful careers, while sharing parenting loads. The team we are building: The team we want to build is one where we are: • Passionate about making a difference. We are pushing change through a traditional market there meaning there are naysayers, so it is very important we have strong belief in the change we are driving., • Flexible and comfortable with ambiguity. We must be flexible as the market is early and developing. You will be shaping a new offering in the clean energy industry right from the start!, • Extremely self-motivated with a strong work ethic. We are a small team and need people to own their work. We also work hard because we love what we do!, • Fun! We need to enjoy what we do, while still being proud about the quality of our work., • Humble, authentic, and honest. We give credit where credit is due. We can respect, support and celebrate others for the value they bring., • Comfortable being challenged. We believe in creating an environment where we feel comfortable and safe enough for ideas to be challenged in a constructive manner., • Curious. Curiosity drives improvement and innovation. Always ask why. The Role: As a Senior Software Engineer, you will be responsible for the long-term technical direction of the Logiq platform and products, which provide real-time operational intelligence for connected clean energy assets. You will be designing and developing new products, features and improvements to the Logiq platform, delivering value to our growing customer base and the key capabilities required to evolve our growing business. As a senior member of the team, you will also have direct input into the product direction, working closely with the Head of Product to shape how Logiq develops as we scale. You will also be the champion of software engineering best practices across Logiq Systems. A few of your responsibilities: • Design and develop full-stack features using React, Python, PostgreSQL and serverless technologies (AWS Lambda, Fargate)., • Design and implement RESTful APIs and event-driven systems., • Maintain, extend and improve optimisation, alerting and forecasting models., • Implement and maintain CI/CD pipelines., • Ensure high-quality code through peer reviews, automated testing, documentation and adherence to software development standards., • Take ownership of the technical architecture and engineering processes., • Collaborate closely with a small startup team. To thrive in this role: We expect you to: • Be comfortable with variety and shifting priorities. Early-stage companies require adaptability, and you'll be working across very different types of tasks., • Take ownership of outcomes, not just tasks. You'll be given problems to solve, not always detailed instructions on how to solve them. We'll provide context and support, but you should be confident running with work and coming back with solutions or thoughtful questions., • Balance quality with speed. Early-stage work requires knowing when "good enough" is better than "perfect but late"., • Ask questions and challenge ideas respectfully. We value curiosity and constructive input across the team. We value people who bring their perspective and aren't afraid to ask "why?" or "what if we tried...?". Equally they are comfortable with their ideas also being respectfully questioned. We put the problem being tackled in the middle. What you'll need to do this job: • Full-stack: Proven experience in full-stack software development. We are using Python (REST & GraphQL) for the backend, React for the frontend., • Cloud architecture design: Proven experience in scalable cloud architecture design., • API design: Solid understanding API design (REST & GraphQL)., • SQL/NoSQL databases: Experience working with SQL (Postgres) and / or NoSQL databases., • AWS: Familiarity with the AWS Serverless stack and event driven architectures., • Customer Mindset: We value engineers who have a strong product and customer-centric mindset., • Communication: Excellent communication and collaboration skills to explain ideas clearly., • Collaborative and low-ego approach: You contribute positively to team culture and work well with others., • Agile: Comfortable with very lean/agile processes. We want you to be involved in all phases of the development lifecycle and bring your unique talents to the process., • DevOps: Experience with DevOps including setting up and managing CI/CD pipelines and terraform deployment., • AI enabled: Comfortable with leveraging AI to better assist developer workflows and rapid prototyping, • Testing: A strong testing mindset. If you think you meet most of the criteria, please get in touch! Experience we'd love to see: • Experience in developing high-scalability systems, • Experience with IoT data collection and processing pipelines. We are using a combination of Node-RED, MQTT, Telegraf, Linux, Python, InfluxDB and TimescaleDB., • Experience with integration of 3rd-party systems, • Experience with statistical modelling, ML optimisation & forecasting, • Strong data analytics skills, • Experience in early-stage start-ups, consulting, or high-growth environments where you've navigated ambiguity and taken initiative, • Experience working on (renewable) energy products or telemetry producing systems Location: • United Kingdom, Remote full-time, • We are remote first. We meet regularly (around once a quarter at least)., • We can’t currently support visas so you must have the right to work in the UK., • Preference for 1hr travel proximity to Edinburgh or Oxford to meet semi-regularly to work with founders or Head of Product. Remuneration: • £55,000 to £70,000/year salary depending on experience, • Share options in Logiq Systems

FIELD SERVICE ENGINEER - PERMANENT POSITION We are currently recruiting for a hands-on Field Service Engineer to support the deployment, maintenance, and optimization of an advanced vision-based Real-Time Location System (RTLS) across customer sites throughout the UK logistics sector. This customer-facing role combines installation, commissioning, fault finding, and ongoing technical support for cutting-edge AI-powered camera systems designed to improve operational safety and productivity in industrial environments. As a Field Service Engineer, you will work directly on customer sites, carrying out equipment installation, system configuration, diagnostics, preventative maintenance, and troubleshooting activities. You will act as a key technical contact for customers, ensuring systems operate reliably while delivering a high standard of service and support. The role offers exposure to advanced technologies including computer vision, AI-driven tracking systems, industrial networking, and safety solutions. You will work closely with internal engineering, product, and commercial teams, providing valuable field feedback to support continuous product improvement. This is a varied and highly practical role involving regular UK travel, customer interaction, and opportunities for long-term technical development as the business continues to grow. Key Responsibilities: • Install, configure, test, and commission RTLS hardware and software systems at customer locations., • Carry out on-site fault finding, diagnostics, and repairs to ensure maximum system uptime., • Provide first-line and second-line technical support to customers both remotely and on-site., • Perform preventative maintenance, system health checks, and performance optimisation activities., • Support customer training and handovers following installation and commissioning., • Work closely with customers to resolve technical issues quickly and professionally., • Assist with system upgrades, software updates, and configuration changes., • Complete service reports, installation documentation, and technical records accurately., • Support technical demonstrations and occasional trade show or customer event activities., • Collaborate with engineering and product teams to escalate recurring issues and provide field feedback., • Ensure all work is completed in line with health & safety and site compliance requirements., • Travel regularly across the UK to support customer sites as required. Skills & Qualifications: • 2+ years of experience in a Field Service Engineer, Service Technician, Installation Engineer, or similar technical role., • Degree, HNC/HND, apprenticeship, or equivalent qualification in Engineering, Electronics, Electrical Engineering, Mechatronics, or a related discipline., • Strong hands-on electrical, electronic, or electro-mechanical troubleshooting skills., • Experience working with industrial systems, CCTV/camera systems, networking, automation, or related technologies would be advantageous., • Interest in technologies such as computer vision, AI systems, RF technologies, and industrial safety applications., • Ability to diagnose and resolve technical faults independently in customer-facing environments., • Strong organisational and time-management skills with the ability to manage multiple service activities., • Comfortable working independently and travelling regularly to customer sites., • Excellent communication and customer service skills., • Good working knowledge of IT systems and networking principles., • Experience with Linux and Python would be beneficial but not essential., • Full UK driving licence and willingness to travel extensively across the UK., • Fluent in English, both written and spoken. The Offer: • A permanent, full-time employment contract, • A salary & benefits package commensurate with experience Please send over your CV to or call me on +32 (0) 3 318 00 74. As always, we are open to recommendations, so please feel free to pass this on to other suitable candidates.

Company Description VET.CT was established in 2009 in Cambridge, UK. Our mission is to help all vets do their best and feel their best every single day. We achieve this through supportive, educational teleradiology and by developing and implementing novel educational strategies for veterinary medicine. Our services were developed with all parts of the veterinary ecosystem in mind: vet students, new graduates, interns, residents, primary care vets, advanced practitioners and specialists. We look after vets all over the world and we help them care for their patients 24 hours a day, 7 days a week. Our team consists of more than 150 veterinary radiologists covering all species, as well as a caring group of vets, vet technicians, vet nurses and vet radiographers. VET.CT was built on the principles of exceptional quality work and outstanding patient care. Our values are centred on kindness and empathy - we genuinely look after our team and we really do care about our veterinary clients and the animals that they look after. As an organisation, we also strive to play our part in improving veterinary well-being and advancing clinical standards within the veterinary profession. Role Description The Product Software Engineer serves as a pivotal, hybrid role that bridges software development, product management, and user experience. You will drive the end-to-end success of a product, from initial concept generation to final deployment. Success in this position relies on leveraging user empathy and rigorous data analysis to strategically build and deliver innovative technical solutions that directly support VET.CT’s core business mission. Key Responsibilities • End-to-End Product Ownership: Own the entire feature lifecycle, successfully guiding initiatives from initial conception through detailed design, rapid prototyping, and robust final implementation., • Strategic User-Centric Development: Collaborate closely with key stakeholders to define technical requirements, consistently prioritising an optimal user experience and business value over purely technical constraints., • Full-Stack System Implementation: Develop and maintain highly robust and scalable codebases, contributing across both front-end and back-end systems to ensure comprehensive functionality., • Data-Driven Performance Optimisation: Analyse complex user behavior and performance metrics to drive continuous improvement, ensuring product iterations effectively optimise product-market fit., • Accelerated Prototyping and Validation: Utilise agile methodologies to rapidly build, test, and iterate on Minimum Viable Products (MVPs) to quickly validate new product ideas and inform strategic direction. Skills/Competencies • Technical Proficiency: Strong full-stack engineering skills (e.g., JavaScript/TypeScript, React, Python, SQL, AWS)., • Product Thinking: Ability to understand the "why" behind features and a passion for solving user issues., • Communication & Collaboration: Acting as the "glue" between the product team, designers, and customers., • Autonomy: A proactive "owner" mindset focused on driving business growth.

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

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

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

Senior Platform Engineer (DevEx) – GCP, Kubernetes, Terraform, CI/CD, Python Oliver Bernard are currently seeking a strong, Senior Platform Engineer (from a Software Engineering background) to join a client of ours on a digital transformation orientated project. Existing plans are focused on embracing Cloud Native, removing a lot of bespoke engineering from their environment, optimising processes, and advocating for DevEx / Dev enablement throughout. The existing Platform team consists of four engineers who work closely with engineering day to day, and are responsible for scaling their practices across Cloud, Containers, and IaC technologies, whilst driving best practices from a broader engineering perspective across Infrastructure. This is a remote first role, and requires the following hands-on experience to be considered: • Strong Cloud experience with GCP (at least 3-4 years), • Containerisation / Orchestration with Kubernetes (+ Helm), • IaC with Terraform, alongside Automation with Ansible, • Prior work across CI/CD, Monitoring and Observability, • Comfortable coding with an OO language (ideally Python or Java), • Prior experience in a Senior capacity This position is a remote first opening (with office visits only required quarterly for team days) and can offer £75-85K for the right profile. Senior Platform Engineer (DevEx) – GCP, Kubernetes, Terraform, CI/CD, Python

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

📍 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!

Haut.AI is a pioneering BeautyTech startup at the forefront of personalized skincare solutions. We combine scientific research with artificial intelligence to deliver innovative solutions that actually work. Backed by leading European VCs and founded by AI scientists, we are positioned at the intersection of two explosive growth markets: AI and beauty tech. We are looking for a Mid-Level Computer Vision/Deep Learning Engineer to join our team. In this role, you won't just be researching models in a vacuum, but own the end-to-end ML lifecycle from prototyping computer vision algorithms to pushing production-ready deep learning models that directly impact our clients and their customers. What You’ll Do: • Build & Innovate: Design, train, and deploy advanced CV/DL models for skin image analysis, tackling challenges in image classification, segmentation, regression, and generation., • Own the Pipeline: Architect and maintain robust, comprehensive training pipelines covering data preprocessing, augmentation, training loops, and validation., • Ship to Production: Optimize and format ML models (using ONNX/TF-lite) for smooth, scalable deployment., • Monitor & Iterate: Track the performance of deployed models in the wild, ensuring high reliability and addressing data drift., • Collaborate & Prototype: Build Proofs-of-Concept (PoCs) and demo applications to translate research into tangible business value, while communicating technical insights to the broader team. What You Bring: • Experience: 3+ years of industry experience shipping ML/DL models to production, with a Bachelor’s degree in Computer Science, Math, Physics, or equivalent background., • Software Engineering: Strong proficiency in Python, enabling you to write clean, production-ready code. You are comfortable with OOP, Git workflows, and containerization using Docker., • ML & Deep Learning: expertise with deep learning frameworks (PyTorch, TensorFlow) and a solid grasp of CNN, transformer and hybrid architectures., • Computer Vision Foundations: Strong working knowledge of standard CV libraries (OpenCV, scikit-image, PIL) and classical CV algorithms (edge detection, thresholding, color spaces)., • Data Analytics Fluency: Experience working with standard data manipulation libraries (NumPy, pandas, scikit-learn, SciPy)., • Communication: Advanced English proficiency to collaborate effectively in a global environment. Bonus Points (Nice to Have) • Hands-on experience with Vision Transformers (ViTs)., • Familiarity with deploying and scaling models on cloud infrastructure (Azure, AWS, or GCP)., • Data visualization skills using tools like Plotly or Gradio. Your Tech Stack: Python, PyTorch, ONNX, OpenCV, Microsoft AzureML, GCP Vertex AI and PostgreSQL. We also heavily utilize modern workflow and productivity tools including Jira, Notion, Slack, GitHub, GitHub Copilot, Codex, Gemini, and OpenAI. Why Haut.AI? • Competitive compensation based on experience and skills., • Fully remote position with flexibility across UK and EU time zones., • Paid PTO., • Be part of a pioneering company revolutionizing the BeautyTech space., • Opportunity to collaborate with a talented, forward-thinking team while making a real difference in the industry., • Make a tangible impact on product development and company growth., • Opportunity to grow your skills and expertise at the intersection of science and beauty. To Apply: Please submit your CV in English for applying. We look forward to hearing from you!

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, • 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, • The chance to help shape a growing data platform and engineering culture, • Clear progression opportunities as the data team continues to expand 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 Spacecraft Software Engineer Glasgow, UK - Hybrid £85,000 - £100,000 Depending on experience & Qualifications We are proud to be supporting a world-leading space-to-cloud analytics company in their search for a Senior Spacecraft Software Engineer. Because this engagement is sensitive, we'll share the client's name with candidates at the shortlisting stage. The Opportunity Our client owns and operates one of the world's largest multi-purpose satellite constellations, delivering advanced maritime, aviation, and weather tracking globally. Their infrastructure spans a proprietary satellite constellation, a global ground station network, and 24/7 operations providing real-time coverage of every point on Earth. This role sits at the intersection of satellite payloads, scientific computing, and data delivery systems. You will be responsible for developing and maintaining both the flight and ground software that powers GNSS-based satellite missions, working across system layers from embedded software through to mission data pipelines. It is a high-impact, high-autonomy position where technical breadth and ownership are essential. Key Responsibilities Flight & Payload Software • Develop and maintain scientific and command & control software for GNSS-based satellite payloads, • Work across embedded system layers to ensure accurate and timely scientific data output, • Engage with payload developers and mission operators to evolve software in support of scientific objectives Ground Systems & Data Delivery • Build and operate ground-based automation systems for data extraction, transformation, and delivery, • Collaborate with flight operations to troubleshoot and ensure consistent, high-quality data delivery, • Participate in code reviews, testing, and documentation to maintain software reliability and traceability What We're Looking For Our client is seeking a Senior Spacecraft Software Engineer with deep technical foundations in embedded systems and GNSS signal processing. You'll take strong ownership of your work and be comfortable operating independently across hardware and software boundaries. Core Requirements • Proficient in Embedded C/C++ for hardware development in constrained environments, • Solid background in DSP techniques and theory, particularly in the context of RF or GNSS signal processing, • Hands-on experience with GNSS signal processing algorithms and/or scientific applications such as GNSS-RO, GNSS-R, or PNT Desirable • Python proficiency and ability to pick up new tools and languages as needed, • Experience with cloud-based systems (e.g. AWS), backend development, and scalable data storage, • Prior experience working on satellite payloads or in the aerospace domain, • Experience building telemetry and data visualisation tools, • Contributions to open-source scientific or aerospace-related software projects Why This Role Stands Out • Work on a real, operational satellite constellation delivering mission-critical scientific data globally, • High autonomy from day one, design, build, and own your work end-to-end, • Join a technically exceptional team operating at the cutting edge of space and clean technology infrastructure, • Generous benefits including education assistance, stock purchase programme, fitness reimbursement, family leave, and more, • An opportunity to contribute to work that genuinely improves life on Earth Apply via Cleantech Talent This role is being managed exclusively by Cleantech Talent on behalf of our client. If you have the background and ambition to take on this challenge, we would love to hear from you. Please apply directly through LinkedIn or reach out to the Cleantech Talent team with your CV and a brief note on your interest and relevant experience. All applications are handled in strict confidence.

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.

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

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.

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).