Infrastructure engineer jobs in Leeds - Page 3Create job alerts

🚨 Civil Engineer – Fully Remote | Outside IR35 🚨 I’m currently working with a consultancy looking to bring on a Civil Engineer on a fully remote contract basis. They’re ideally looking for someone with strong drainage design experience across residential and commercial developments. 📌 Role Details: • Civil Engineer, • Drainage-focused highways & infrastructure design, • Residential & commercial development experience, • Strong SuDS knowledge required, • Software: Civil 3D + Causeway Flow, • Fully remote, • Outside IR35, • Rate: £DOE, • ASAP start

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.

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.

Disclaimer: To be eligible, you’ll need to be based in the UK, France, Germany, Italy, or Luxembourg. The role will also involve regular travel across our sites in EMEA. Who We Are: At CloudHQ, our mission is to deliver flexible, efficient, and resilient data center solutions to businesses worldwide. Founded by a pioneer in data center REITs, we are a rapidly growing organization with state-of-the-art data center sites globally, with locations in Ashburn, London, Frankfurt, Paris, Milan, Osaka, São Paulo, and more. As we embark on an exciting phase of global growth, we are building a diverse and talented team to drive our success and help shape the future of mission-critical infrastructure at CloudHQ. Role Overview: The Principal Electrical Engineer, Development will lead the design, planning, and execution of highly efficient and scalable electrical systems for developer-led data center projects. This critical role focuses on providing technical leadership and oversight across the entire development lifecycle, including concept design, detailed engineering, installation, and commissioning phases. The successful candidate will act as the trusted expert for high-voltage electrical systems, power distribution configurations, redundancy solutions, and operational optimization within hyperscale environments. This role requires advanced technical proficiency, project leadership experience, and the ability to collaborate across multidisciplinary teams to deliver resilient, energy-efficient data center infrastructure for global cloud service providers. Key Responsibilities: • Technical Leadership in Electrical Systems Design, • Serve as the technical authority guiding the development and implementation of electrical systems, including:, • High-voltage power systems, • UPS systems (Uninterruptible Power Supply), • Switchgear configurations and redundancy solutions, • Transformers, busbars, and power distribution panels, • Emergency backup generators, • Lead the development of electrical specifications, ensuring all systems meet CloudHQ’s standards for reliability, scalability, and energy efficiency., • Conduct and review advanced calculations on load distribution, fault currents, and energy usage to optimize designs for hyperscale environments., • Support value engineering efforts to deliver cost-effective technical solutions without compromising on performance or redundancy. Development Lifecycle Oversight: • Manage electrical infrastructure across early-stage design, and procurement phases of data center projects., • Provide guidance to Pre-Development and Development teams to integrate electrical systems into early-stage master planning, feasibility studies, and land acquisition specifications., • Review and evaluate contractor and vendor proposals to ensure compliance with project-specific electrical design requirements., • Supervise the installation and commissioning of critical power components, performing detailed system validation and load testing throughout the facility’s commissioning process. System Integration & Stakeholder Collaboration: • Collaborate with internal and external engineering teams to ensure seamless integration of electrical systems with mechanical, ICT, and tenant-specific systems., • Lead design team meetings, presenting actionable insights and guiding technical decisions around electrical scopes., • Partner with tenant teams to customize power infrastructure, meeting their specific needs for redundancy, scalability, and operational flexibility. Compliance & Sustainability Standards • Ensure designs adhere to European building codes, ISO safety directives, and ASHRAE energy efficiency standards., • Monitor and implement standards for energy optimization and carbon reduction in electrical systems, achieving low PUE targets across data center projects., • Manage regulatory compliance for electrical permitting processes while aligning all designs with safety protocols and environmental sustainability goals. Commissioning Oversight & Technical Validation • Oversee factory witness testing for critical electrical equipment, ensuring functionality and compliance before delivery to the site., • Supervise electrical system commissioning, including system validation under peak load conditions to verify operational stability and reliability., • Collaborate closely with commissioning agents to ensure seamless system handover to operations teams. Innovation & Continuous Improvement • Research emerging technologies such as AI-driven power optimization systems, microgrid integration, and smart energy monitoring, incorporating these innovations into new projects., • Identify opportunities for improving electrical redundancy strategies and fault tolerance capabilities to ensure uptime in mission-critical environments., • Implement IoT-based infrastructure to enable real-time performance monitoring and predictive maintenance for electrical systems. Requirements: • Advanced Knowledge Of Electrical Systems For Mission-critical Facilities, Including High-density Power Distribution, Backup Power Integration, And Fault Tolerance Strategies., • Proficiency In Electrical Load Calculations, Short-circuit Analysis, And Power Path Optimization For Hyperscale Environment's, • Familiarity With Electrical Equipment Such As: UPS configurations, High-voltage transformers, Switchgear systems and breakers, Emergency generators and fuel systems, Busway systems for large-scale distribution panels, • Expertise in electrical design and analysis tools, including: AutoCAD Revit ETAP for power system modeling., • Other BIM platforms for integrated design coordination., • Thorough knowledge of European electrical standards, such as IEC, DIN, ISO, and ASHRAE TC9.9 for mission-critical facilities', • Strong understanding of environmental regulations related to electrical system design for energy-efficient operations., • Proven ability to manage multiple data center projects simultaneously while maintaining strict timelines and budget's, • Skilled in developing technical reports, progress documentation, and compliance certifications for audits and regulatory submissions., • Ability to guide multidisciplinary teams and influence technical decisions during complex project milestones., • Willingness to travel across Europe for on-site inspections, commissioning oversight, and stakeholder meetings, with travel requirements up to 50%. Preferred Qualifications: • Bachelor’s or Master’s Degree in Electrical Engineering, Power Systems, or related technical fields., • Professional certifications such as PMP, LEED AP, CEng, or equivalents are highly desirable., • Minimum 10+ years’ experience in designing and delivering electrical systems for developer-led data center or mission-critical projects., • Proficiency in English; fluency in German, French, or other European languages preferred for regional collaboration. At CloudHQ, we deliver cutting-edge data centers that power the modern digital economy. As a Principal Electrical Engineer, Development, you’ll lead the creation of resilient electrical systems for hyperscale environments, collaborating with global experts to build highly efficient infrastructure solutions. Join our growing team and help shape the future of mission-critical technology development in Europe. Visit our LinkedIn page or contact for more information.

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.

🚀 We’re Hiring: Data & DevOps Engineer (Biotech) Help shape the future of immune therapies. A fast-growing biotech company is on a mission to tackle immune dysfunction — a root cause of many cancers, autoimmune conditions, and infectious diseases. By developing first-in-class antigen modulation technologies, the team is pioneering a new approach to controlling how the immune system recognises and targets cells. As the company enters its next phase of growth, we’re looking for a Data & DevOps Engineer to join the IT function and play a key role in building scalable, secure, and reproducible data systems that support cutting-edge science. 🔍 The Role This position sits at the intersection of IT, data, and scientific teams (including Bioinformatics). You’ll lead on designing and delivering modern data infrastructure and DevOps practices that enable high-quality, reproducible research and analytics. 🛠 What You’ll Be Doing • Design and maintain secure, scalable cloud infrastructure (AWS), • Build and optimise CI/CD pipelines for scientific workflows (e.g. Nextflow), • Implement containerisation (Docker) for reproducibility and traceability, • Develop infrastructure-as-code (e.g. CloudFormation), • Architect data pipelines and platforms for structured and unstructured data, • Integrate analytics tools (e.g. Power BI, Spotfire, Microsoft Fabric), • Enhance data governance, lineage, and auditability, • Collaborate closely with scientists and bioinformaticians, • Produce clear technical documentation, • Manage external vendors supporting cloud infrastructure, • Continuously improve systems and processes ✅ What We’re Looking For • Experience in DevOps, Platform Engineering, or similar within biotech, pharma, or life sciences, • Strong expertise in AWS, Docker, and CloudFormation, • Hands-on experience with Linux systems and CI/CD pipelines, • Experience designing data pipelines and ETL processes, • Understanding of data modelling and master data management, • Ability to collaborate effectively with scientific stakeholders ⭐ Nice to Have • Experience in regulated or research-driven environments (data governance, reproducibility), • Exposure to Microsoft Fabric, Azure data services, or modern BI tools, • Experience with AI services (e.g. Amazon Bedrock), • DevOps/security certifications, • API integration experience 🌱 Why Join? • Be part of a company driving a fundamental shift in disease treatment, • Work at the cutting edge of science, data, and engineering, • Collaborate with world-class researchers and technologists

Lead Project Engineer Overview Our client is seeking an experienced Lead Project Engineer to coordinate and manage multi‑discipline engineering activities across large capital infrastructure projects. The role is responsible for driving safe, compliant, and high‑quality engineering delivery from early optioneering and design through to project delivery, in accordance with governance and assurance requirements. This position plays a critical role in ensuring engineering scope is delivered to programme, quality, and safety expectations, while effectively managing technical risk and stakeholder engagement. Role Details • Location: Home based, with occasional site visits for meetings, • Contract Length: 12 months (with potential extension), • Security Clearance: BPSS, • Hours: Full‑time, • Rate: £750 per day (PAYE Umbrella), • Interview Format: Microsoft Teams Key Responsibilities Engineering Leadership & Coordination • Coordinate all engineering inputs and outputs across the project lifecycle, from optioneering and initial design through to delivery., • Chair regular engineering coordination meetings to drive design progress and collaboration between engineering disciplines., • Chair engineering risk meetings to identify, manage, and mitigate engineering, safety, quality, and programme risks., • Drive design maturity and ensure engineering scope is delivered to required quality, safety, and programme milestones., • Ensure compliance with engineering standards, specifications, and policies; where non‑compliance is unavoidable, support the Deviation from Specification process., • Coordinate and lead gated assurance activities, including:, • Site visits, • Senior Reviews, • Operational Engagement, • HAZID, HAZOP, and HAZCON workshops, • Design Authority and Technical Authority Reviews (as required), • Prepare and manage key gate documentation, including:, • Design Management Plan, • Design Risk Management Index (DRMI), • Design Authority Reports, • Manage engineering risk registers and ensure risks are appropriately mitigated or escalated., • Manage design changes in accordance with change control processes, preparing and coordinating all required documentation., • Manage and maintain the Technical Query (TQ) register throughout delivery., • Coordinate contractor engineering deliverables and ensure timely review, technical assurance, and sign‑off., • Coordinate engineering inputs into Works Information (WI) packages., • Work closely with Operations, Asset Management, Project Assurance, Design Authorities, and external contractors to ensure alignment and compliance. Skills and Experience • Proven experience coordinating multi‑discipline engineering teams within large, regulated infrastructure or utility environments, ideally within electricity transmission or distribution., • Demonstrable experience managing engineering inputs through optioneering, concept, early design, and delivery phases., • Strong capability in chairing and facilitating engineering design and risk meetings to drive collaboration and decision‑making., • Significant experience managing engineering and design risk, including HAZID, HAZOP, and HAZCON activities., • Proven ability to drive design maturity and deliver engineering scope to agreed quality, safety, environmental, and programme requirements., • Sound knowledge of engineering standards, policies, and specifications, with experience managing deviations where necessary., • Experience managing design changes and engineering change control processes., • Strong understanding of gated project governance and assurance within large capital projects., • Proven experience preparing and managing Design Management Plans, DRMI, Works Information inputs, and Design Authority Reports., • Confident managing Technical Queries and coordinating timely technical responses during delivery., • Strong stakeholder management and communication skills, with experience engaging senior engineers, operational teams, assurance functions, and contractors., • Ability to make balanced technical judgements and escalate risks and decisions appropriately., • Demonstrable experience supporting Project Assurance Reviews (PAR).

AWS Cloud Engineer £70000 GBP Hybrid WORKING Location: Leeds, Yorkshire and the Humber - United Kingdom Type: Permanent AWS Cloud Engineer Location: Leeds (hybrid, 3 days onsite) Salary: Up to £70,000 (depending on experience) + £7,000 bonus NOTE: Candidates must be eligible for UK DV clearance (British passport holder) We are seeking an experienced AWS Cloud Engineer to join a high-impact team delivering mission-critical projects. You will work on secure, cutting-edge solutions that make a tangible difference, alongside some of the brightest minds in technology. Key Responsibilities • Design and implement cloud infrastructure and platform solutions in AWS, • Build and maintain CI/CD pipelines to streamline delivery and releases, • Support containerised and cloud-native workloads, • Contribute to infrastructure as code and automated environment provisioning, • Collaborate with software engineers to improve deployment, reliability and performance, • Apply best practice across code quality, testing and security controls, • Work within agile teams using Scrum, Kanban or Lean delivery models, • Contribute to technical problem solving and platform design decisionsCore Skills & Experience, • 3+ years commercial experience in a Cloud / Platform / DevOps / Infrastructure Engineering role

ROLE: Senior Protection & Control Engineer At Mitie, our people are our greatest strength, and our promise is to create a place to work where you can thrive and be your best every day. We're looking for a Senior Protection & Control Engineer who will lead the technical delivery and design of HV and EHV protection and control systems for renewable and utility‑scale infrastructure projects. Role Responsibilities • Provide day‑to‑day technical leadership and management of a protection and control engineering team, ensuring the safe, reliable and efficient operation of HV and EHV substations up to 400kV., • Lead the design, specification and configuration of complete protection and control systems, including setting project‑specific protection philosophies and ensuring compliance with Grid Code, ENA G99, DNO and TSO standards., • Review tender and contract documentation, define protection scopes of work, and deliver high‑quality technical documentation, drawings and calculations throughout the project lifecycle., • Act as technical authority across projects, resolving engineering challenges, coordinating multi‑disciplinary interfaces, and ensuring “right‑first‑time” delivery aligned with quality assurance processes., • Mentor and develop junior engineers, embed CDM 2015 principles, and promote safety and sustainability by design across all engineering activities. Required Qualifications • Degree, HND or HNC in Electrical Engineering (Power Systems preferred)., • Significant experience (10+ years) designing HV and EHV protection and control systems from 11kV to 132kV and ideally up to 400kV., • Strong working knowledge of British and international standards, including Grid Code, ENA G99, and DNO/TSO requirements., • Proven experience leading or technically managing specialist electrical design teams., • Working knowledge of CDM Regulations 2015 and the designer's role under CDM. What's in it for you? • The opportunity to lead technically complex, high‑impact HV and renewable energy projects., • A collaborative working environment with a strong focus on technical excellence and professional development., • Hybrid working with long‑term career progression in a growing engineering function. There's a place for you at Mitie – join us today!

Senior ICT & Security Engineer Remote (UK) Permanent but contract considered Salary/rate on application The Company Our client is an award-winning, international multidisciplinary consultancy renowned for their expertise in low-energy design and world-leading technical solutions. They are a primary partner for the global digital infrastructure market, helping clients realise ambitious zero-carbon targets across the entire building lifecycle. Due to continued expansion within the EMEA region, they are seeking a high-calibre Senior ICT & Security Engineer to join their growing UK team. The Role As a Senior Engineer, you will take a lead role in the development and coordination of complex ICT and security installations. This is a client-facing position where you will manage medium-sized projects, ensuring technical excellence and financial performance from inception to completion. Key Responsibilities: • Project Leadership: Manage the full project lifecycle, including feasibility studies, fee bids, and cost/profit diagnosis., • Technical Design: Lead the design and coordination of ICT/Security systems, equipment, and facilities., • Client Management: Act as the primary point of contact for clients, attending technical meetings and providing strategic advice., • Quality & Delivery: Support project delivery in line with internal QA/QC processes and technical review standards., • Mentorship: Oversee the technical accuracy of work produced by Trainee, Graduate, and junior Engineers., • Reporting: Prepare comprehensive project reports for management and external stakeholders, modifying schedules and plans as required. Candidate Requirements The ideal candidate will be a technically robust engineer with a proven track record in ICT infrastructure and a consultative approach to project delivery. Experience & Qualifications: • Education: A degree in an appropriate ICT Infrastructure or Engineering discipline., • Experience: 5–10 years of relevant professional experience, ideally gained within a multi-disciplinary consultancy, ICT specialist firm, or network systems integrator., • Project History: Demonstrable experience in ICT infrastructure, building fit-outs, and migration projects. Technical Competencies: You should possess a strong technical understanding of the following areas: • Critical Facilities & Data Centre Design, • Campus Networks & LAN Ethernet Switching, • Wi-Fi & Network Communications, • Structured Cabling Systems & Fibre Optic Networks, • Telecommunication Network Infrastructure Why Join? This is an opportunity to join a market-leading firm that is at the forefront of the "green" digital revolution. You will work on high-profile international projects within a culture that values energetic interaction, technical innovation, and career progression. To apply, please submit your CV for a confidential discussion.

AI Infrastructure Engineer Cititec is working with a fast-growing AI infrastructure and GPU cloud platform scaling large-scale compute environments across Europe and the US. We’re looking to speak with AI Infrastructure Engineers who have experience working across high-performance infrastructure environments, GPU deployments, HPC systems, cloud infrastructure or large-scale data centre operations. This is a strong opportunity to join a business operating at the centre of the AI infrastructure buildout currently happening globally. What you’ll be working on • Deployment and optimisation of GPU infrastructure environments, • Supporting large-scale AI / HPC clusters, • Infrastructure automation and operational scaling, • Working closely with networking, platform and deployment engineering teams, • Supporting critical infrastructure environments across compute, storage and networking, • Troubleshooting performance, reliability and scaling challenges across AI infrastructure stacks Ideal background We’re interested in people coming from environments such as: • GPU Cloud Platforms, • AI Infrastructure Providers, • Hyperscale Data Centres, • HPC Environments, • Cloud Infrastructure Platforms, • High-performance Linux environments Experience across some of the below is highly valuable • NVIDIA GPU infrastructure, • Kubernetes, • Linux, • HPC environments, • InfiniBand / high-speed networking, • AI infrastructure deployments, • Bare metal infrastructure, • Terraform / Ansible / automation tooling, • Large-scale compute environments What’s different about this opportunity This is not a traditional infrastructure role. The teams we support are building some of the most advanced AI compute environments currently being deployed globally, supporting large-scale GPU capacity and next-generation AI workloads. If you’re currently working within cloud, infrastructure, HPC or data centre engineering and want exposure to cutting-edge AI infrastructure environments, this is worth a conversation. Apply directly or reach out confidentially for more information.

🚰 Civil Design Technical Lead | Water & Wastewater 📍 Hybrid | Ilkeston / Apsley / Glasgow 💷 Competitive salary + benifits Are you a civil engineer who enjoys leading design, not just producing it? We’re looking for a Civil Design Technical Lead to take ownership of civil and structural design across water and wastewater treatment projects — guiding solutions from early concept through to delivery and commissioning. This is a hands‑on technical leadership role where you’ll review designs, manage external consultants, and work closely with multidisciplinary teams to deliver safe, sustainable and buildable infrastructure. 🔧 What you’ll be doing: ✔ Leading civil & structural design on complex projects ✔ Managing and reviewing consultant design packages ✔ Collaborating with mechanical, electrical & process teams ✔ Ensuring compliance, buildability and value for money ✔ Supporting projects from feasibility through to commissioning 👷 ♂️ What we’re looking for: ✅ Civil engineering degree ✅ Strong water / wastewater design experience ✅ Confident reviewing consultant work and leading design decisions ✅ Experience with AutoCAD Civil 3D, Revit & BIM environments ✅ Chartered (or working towards) is a plus 🌱 Why join? You’ll be part of a specialist engineering business delivering critical UK water infrastructure, with real technical depth, collaborative teams and clear development opportunities.

🚀 Technical Integration Engineer | circa £50k + EMEA Travel UK-based | British Citizenship Required | Cutting-edge tech + complex customer environments If you’re a hands-on engineer who loves solving deep technical challenges across software, networking, and system integration, this one’s worth a look. We’re supporting a global technology leader as they expand their EMEA technical team, and they’re looking for someone who can own integrations end-to-end, shape new solutions, and be the technical face of the business on high-impact customer deployments. What the Technical Integration Engineer will be doing • Leading technical integration of advanced systems into customer IT environments, • Configuring, testing, and validating software + system interfaces, • Troubleshooting complex issues across software, networking, and system layers, • Developing custom scripts/tools (C++, C#) to support deployments, • Contributing to architecture and design for new applications and use cases, • Working closely with Engineering & Product on continuous improvement, • Documenting best practices and technical solutions, • Supporting customers directly on high-level technical topics, • Travelling across EMEA (up to 40%) for critical deployments What the Technical Integration Engineer will bring: • Strong programming skills in C++ and C#, • Solid understanding of software architecture and system integration, • Confident troubleshooting across software, hardware, and networks, • Ability to work independently on complex technical challenges, • British citizenship (essential) Bonus points if the Technical Integration Engineer has: • Networking knowledge (TCP/IP, routing, firewalls, VLANs), • Understanding of IT infrastructure (servers, virtualisation, OS environments), • Awareness of cybersecurity principles, • Experience with APIs, system interfaces, or industrial/automation environments, • Additional scripting languages Why this Technical Integration Engineer role? • High autonomy and technical ownership, • Exposure to diverse customer environments across EMEA, • Opportunity to influence architecture and new product development, • Salary circa £50k (dependent on the individuals experience) with strong progression potential If you’re a technically curious engineer who thrives in varied environments and enjoys seeing your work come to life on customer sites, this could be a brilliant next step. Want the full brief or to discuss the fit?

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

Sector: Energy / Infrastructure Employment Type: Contract IR35 Status: Inside IR35 Location Remote working with occasional travel to office locations including: • Manchester, • London, • Newcastle, • Glasgow Duration & Rate • 6-month rolling contract, • Up to £65.00 per hour (Umbrella) Overview We are seeking an experienced Control & Instrumentation (C&I) Engineer with a strong systems engineering background to support major projects across the energy sector. This includes power generation, CCGT, utilities, oil & gas, and process industries. This role is ideal for an engineer who thrives in technically demanding environments and has hands-on experience delivering advanced control system solutions for large-scale energy assets. The successful candidate will bring strong expertise in control system architecture, control philosophy development, and control narrative preparation, alongside experience working with leading Distributed Control Systems (DCS). Key Responsibilities • Develop Control Narratives, Control Philosophy documents, and Functional Logic Specifications for energy-sector automation systems, • Design robust control system network architectures, including Ethernet/IP, Profinet, Modbus, and redundant industrial networks, • Lead or support system configuration, testing (FAT/SAT), commissioning, and operational optimisation activities, • Interface with OEMs, EPC contractors, and multidisciplinary engineering teams on system design, upgrades, migrations, and modernisation projects, • Develop and maintain system backup strategies and cybersecurity policies, ensuring compliance with relevant instrumentation and energy-sector standards, • Produce high-quality technical documentation, engineering reports, and change management records Required Experience & Skills • Proven experience in C&I control systems within power plants, CCGT, utilities, oil & gas, or process industries, • Experience working with a major EPC contractor on complex FEED or detailed design projects, • Strong understanding of P&IDs, Cause & Effect diagrams, and industrial control strategies, • Hands-on knowledge of industrial communication protocols such as Profinet, Modbus TCP/IP, and Ethernet/IP, • Experience with OPC UA for system integration and data exchange, • Familiarity with DCS, ESD, and F&G systems, • Understanding of IEC 62443 cybersecurity principles and their application in critical infrastructure Desirable Experience • Experience with leading DCS platforms such as Emerson Ovation, Emerson DeltaV, or Siemens SPPA-T3000, • Previous involvement in large-scale infrastructure or energy transition programmes Key Competencies • Strong analytical and problem-solving skills, • Ability to work effectively within multidisciplinary engineering teams, • Excellent communication and stakeholder management skills, • High attention to detail and commitment to engineering quality and safety Summary This is an excellent opportunity to contribute to complex, high-value energy projects supporting critical national infrastructure and the ongoing energy transition. The role offers a flexible working arrangement, exposure to leading-edge technologies, and involvement in major engineering programmes across the UK.

Due to significant growth our client is seeking a EHV Cable Engineering Manager to join their team, delivering UK wide critical energy, power, water, telecoms and social infrastructure projects. On offer is a full time staff role, hybrid working and career progression The Role As an Engineering Manager, you will lead HV cable design coordination, working with electrical, civil and CAD resources to deliver across multiple projects, ensuring timely preparation of quality deliverables within the allocated program and budget. You will play a crucial role in ensuring compliance and bolstering their technical credibility whilst they deliver critical energy, power, water, telecoms and social infrastructure projects. Our client's infrastructure services company provide major transmission and distribution capabilities across power engineering, construction and asset optimisation, supporting grid resilience and the transition to a low-carbon energy system. Duties (in brief) • Manage engineering processes and deliverables across cable projects, • Ensure engineering management including updates, change control and risk management, • Approve deliverables and complete design tasks where required, • Ensure constructability and safety by design, • Provide guidance to help develop team members Qualification: • Chartered Engineer or equivalent preferred, • Substantial HV cable design experience, • Strong communication and teamwork skills, • Understanding health and safety impacts on cable construction Highly sought: • Experience with British/European design standards, • Cable construction planning and delivery experience, • Engineering management experience, • Tendering support experience, • Experience presenting technical outputs You: • Fluent English and ability to work in dispersed teams, • Right to work in the UK, • Be prepared for some travel, • Ideally living near Central Scotland or South of England, however our client has offices throughout the UK. Next step: Should wish to find out more, please forward your full CV (In WORD format) by clicking 'Apply for this job online' button above. Any submissions are held in strict confidence until you have been contacted. Diversity Statement We are an equal opportunity employer that recognises the value of a diverse workforce. All suitably qualified applicants will receive consideration for employment on the basis of objective criteria and without regard to the following (which is a non-exhaustive list): race, colour, age, religion, gender, national origin, disability, sexual orientation, gender identity, protected veteran status, or other characteristics in accordance with the relevant governing laws. #SCR-paul-ellis-3 Desired Skills and Experience • EHV Cable construction planning and delivery experience., • Engineering management experience.

Senior Platform Engineer (Azure / Kubernetes) UAE | On-site | $140,000–170,000 base + Discretionary Bonus We’re hiring a Senior Platform Engineer to own production systems end-to-end, operating distributed and model-driven workloads at scale in a cloud-native environment. Why this role ● Own production systems end-to-end: design and operate infrastructure on Microsoft Azure, including reliability, incidents, and platform stability ● Direct impact on live systems: run and scale user-facing services on Kubernetes, optimising for performance, reliability, and cost ● Serious engineering environment: build and operate CI/CD systems that enable fast, repeatable, and safe deployments ● Complex, distributed systems: implement observability and solve real scaling challenges ● Drive platform evolution: lead infrastructure-as-code and automation across environments ● Work on meaningful workloads: operate model-serving and inference systems in production, with the autonomy to improve and evolve the platform Apply if you: ● Have strong experience operating large-scale production systems as a Platform / SRE / DevOps Engineer ● Bring deep hands-on experience with Microsoft Azure and Kubernetes in production ● Build and operate CI/CD systems, and write Python for automation ● Understand system reliability, security, and cloud-native best practices, and can work directly with engineering teams to deploy and run services in production Nice to have ● Experience running model-serving / inference systems in production or supporting GPU workloads ● Comfortable using tools like Claude or Cursor to improve workflows Package ● $140K–170K base + bonus (depending on experience) ● 30 days holiday + public holidays ● Family medical + education allowance ● UAE visa sponsorship + relocation support 📩 Apply for this role This position is based in the UAE and requires relocation and full-time onsite work. Contact:

Machine Learning Engineer (NLP) Location: remote only within the UK Salary: up to £100,000 Job Purpose As a Machine Learning Engineer (NLP), you will work with our small but growing team and play an active role in building our Machine Learning/NLP capability. You will be responsible for developing and refining the NLP algorithms and infrastructure of our AI-powered design platform. You will apply SOTA NLP techniques to solve complex problems while collaborating with cross-functional teams. As Machine Learning Engineer (NLP), you will be responsible for: • Building and deploying NLP models using the latest techniques to solve real business problems at scale, and exposing them through APIs, • Working with unstructured data to extract insights and build robust data pipelines, • Evaluating, tracking, and improving the performance of NLP models through MLOps, • Driving innovation through research, experimentation, and rapid prototyping of MVPs and POCs, collaborating with engineers and product teams to validate findings and plan execution, • Communicating technical concepts and results to non-technical stakeholders, • Playing an active role in the wider team and growth of the business To be successful in this role you will have: • Building and deploying NLP models using the latest techniques to solve real business problems at scale, and exposing them through APIs, • Working with unstructured data to extract insights and build robust data pipelines, • valuating, tracking, and improving the performance of NLP models through MLOps, • Driving innovation through research, experimentation, and rapid prototyping of MVPs and POCs, collaborating with engineers and product teams to validate findings and plan execution, • Communicating technical concepts and results to non-technical stakeholders, • Playing an active role in the wider team and growth of the business, and building scalable systems, • Have experience working with Azure, AWS or GCP, • Be a relentless problem solver, understanding requirements and designing solutions, • An entrepreneurial spirit and an interest in building world-changing ethical AI solutions, • Excellent communication skills and be able to explain complex technical concepts to non-technical stakeholders, • Be detail-oriented and able to manage multiple projects simultaneously Start-up life is not for everyone! To really thrive with us you will be 'Start-up ready'. You are naturally proactive, open to change, have a continuous improvement mindset, are flexible, happy to go beyond your brief, enjoy working at pace and are comfortable with ambiguity. And finally, you will really resonate with our values: • Customer Focus - we are obsessive about delivering value and reducing complexity for customers, • Collaboration: we’re all about the team - collaborating, supporting and recognising everyone’s contributions, • Openness & Honesty: we are open, honest, and straight-talking with each other and our customers, • Authenticity & Humility: we bring our whole selves to work, and we have the humility and self-honesty to admit when we are wrong

Analytics Engineer UK, Fully Remote, £65,000 to £70,000 This is an opportunity to join a fast-growing digital marketplace at a pivotal stage in its data journey. The business is investing heavily in its data platform and is looking for an Analytics Engineer to take ownership of a modern stack, bridge technical and commercial needs, and play a key role in shaping how data is used across the organisation. The Company They are a VC-backed technology business operating a two-sided online marketplace within the education sector. With strong growth and an expanding customer base, data has become central to improving acquisition, understanding user journeys, and delivering clearer commercial insight. The data function is still maturing, offering a rare chance to influence foundations, standards, and ways of working from an early stage. The Role You will be the first key Data Analytics Engineer hired in a new phase of the data team, taking ownership of an existing cloud-based data platform following a consultant handover. Working closely with analytics and senior stakeholders, you will help turn fragmented data into reliable, actionable insight. Responsibilities include: • Owning and developing the data platform on GCP, ensuring reliability and scalability, • Building and maintaining robust ingestion pipelines using modern ELT tools, • Designing and maintaining high-quality data models to support analytics and self-serve BI, • Partnering with BI and commercial teams to translate business needs into technical solutions, • Supporting data governance, testing, and documentation across the warehouse, • Strong data and analytics engineering fundamentals within a modern cloud data stack, • Proven experience with GCP, BigQuery, dbt, and ELT tools such as Fivetran or similar, • Solid data modelling capability for analytics and reporting use cases, • Hands-on experience with infrastructure as code, particularly Terraform, • Comfortable working in scaling environments with evolving data maturity, • Able to communicate clearly with both technical and non-technical stakeholders, • High autonomy and the chance to shape a growing data platform, • Clear scope for progression as the data function expands If you are an Analytics Engineer looking to own a modern data stack and make a tangible impact in a growing tech business, apply now to learn more.

DevOps Engineer (DEX / Web3) Plexus have partnered with a DEX looking for a DevOps Engineer to build and run the infrastructure behind a high-performance decentralized exchange. What you’ll do • Manage Kubernetes-based infrastructure for trading and blockchain services, • Build and improve CI/CD pipelines (GitOps, ArgoCD/FluxCD), • Automate deployments, scaling, and incident recovery, • Operate blockchain nodes, indexers, and APIs with high uptime, • Monitor systems and keep latency + reliability tight during market activity Bonus • Experience with DeFi, or DEXs., • Understanding of trading systems or high-frequency environments, • Security-focused mindset (secrets, key management, zero trust) What you'll get • Competitive salary, • Fully Remote, • Bonus

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

Data Engineer UK, Fully Remote, £65,000 to £70,000 This is an opportunity to join a fast-growing digital marketplace at a pivotal stage in its data journey. The business is investing heavily in its data platform and is looking for a Data Engineer to take ownership of a modern stack, bridge technical and commercial needs, and play a key role in shaping how data is used across the organisation. The Company They are a VC-backed technology business operating a two-sided online marketplace within the education sector. With strong growth and an expanding customer base, data has become central to improving acquisition, understanding user journeys, and delivering clearer commercial insight. The data function is still maturing, offering a rare chance to influence foundations, standards, and ways of working from an early stage. The Role You will be the first key Data Engineer hired in a new phase of the data team, taking ownership of an existing cloud-based data platform following a consultant handover. Working closely with analytics and senior stakeholders, you will help turn fragmented data into reliable, actionable insight. Responsibilities include: • Owning and developing the data platform on GCP, ensuring reliability and scalability, • Building and maintaining robust ingestion pipelines using modern ELT tools, • Designing and maintaining high-quality data models to support analytics and self-serve BI, • Partnering with BI and commercial teams to translate business needs into technical solutions, • Supporting data governance, testing, and documentation across the warehouse, • Strong data engineering fundamentals within a modern cloud data stack, • Proven experience with GCP, BigQuery, dbt, and ELT tools such as Fivetran or similar, • Solid data modelling capability for analytics and reporting use cases, • Hands-on experience with infrastructure as code, particularly Terraform, • Comfortable working in scaling environments with evolving data maturity, • Able to communicate clearly with both technical and non-technical stakeholders, • High autonomy and the chance to shape a growing data platform, • Clear scope for progression as the data function expands If you are a Data Engineer looking to own a modern data stack and make a tangible impact in a growing tech business, apply now to learn more.

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

Senior 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

Platform/DevOps Engineer Role - GCP.. We’re looking for a hands-on Platform / DevOps Engineer with deep experience running production workloads on Google Kubernetes Engine (GKE). This role is for someone who enjoys building, automating, and operating cloud-native platforms - not just designing them. You’ll own Kubernetes infrastructure end to end: provisioning, CI/CD, deployments, service mesh, and day-to-day operations in a modern GCP environment. Responsibilities: Design, build, and operate GKE clusters in production environments Automate cloud infrastructure on GCP using Terraform Build and maintain CI/CD pipelines for Kubernetes-based deployments Implement and manage Istio service mesh for traffic management, security, and observability Support containerized microservices at scale Required Skills & Experience (Must-Have) • Strong hands-on experience with GKE in production, • Solid Kubernetes fundamentals (networking, RBAC, scaling, troubleshooting), • Experience working in Google Cloud Platform (GCP), • Infrastructure as Code using Terraform, • CI/CD experience with Harness, • Strong GitHub workflow experience (PRs, branching, automation), • Experience with Istio Service Mesh (traffic routing, mTLS, canary/blue-green deployments), • Deep understanding of containers and cloud-native architectures £500 per day - 6 Month Contract Office Locations: Bristol, Leeds, Halifax, Manchester, Edinburgh

The Company A high-performance proprietary trading firm operating across global digital asset markets. The business has been profitable since inception and runs a lean, engineering-led team focused on building and optimising low-latency trading systems. They operate with a flat structure, minimal bureaucracy, and a strong emphasis on technical excellence and ownership. The Role You will join a small, highly technical team building and optimising real-time trading systems. This is a hands-on C++ role focused on: • Real-time market data processing, • High-throughput, low-latency systems, • Trading infrastructure and execution pipelines, • Performance optimisation across distributed systems What You’ll Do • Design and build high-performance C++ systems, • Optimise latency, throughput, and system efficiency, • Work on real-time data pipelines and execution logic, • Collaborate closely with engineers and trading teams, • Contribute to system architecture and scalability decisions What You’ll Need • Strong C++ experience (modern C++ preferred), • Low-latency or HFT exposure, • Experience working on performance-critical or real-time systems, • Strong understanding of:, • Concurrency / multithreading, • Memory management, • Data structures and algorithms, • Linux environment experience, • Strong problem-solving ability Nice to Have • Trading / financial markets experience, • Python or scripting experience, • Distributed systems experience Why Join • Work on real-time, production trading systems, • High ownership in a small, technical team, • Remote-first across Europe, • Fast-moving environment with direct impact on performance and outcomes Summary A strong opportunity for a C++ engineer looking to work on complex, performance-critical systems in a trading environment, with high ownership and direct impact. Contact Ciara Clarke at Harrington Starr for a confidential discussion on this role.

Better places, thriving communities. Role Purpose The Senior HV/EHV Cable Design Engineer will act as the company's technical authority for high‑voltage and extra‑high‑voltage underground cable systems up to 400 kV AC within the UK. This role provides expert leadership across all stages of cable system design - from feasibility and concept design through detailed engineering, installation support, commissioning input, and lifecycle performance assessment. The postholder will set engineering standards, ensure compliance with UK transmission and distribution requirements, and support business growth through deep technical capability. Key Responsibilities • Technical Leadership, • Serve as the company's subject matter expert for HV/EHV cable system design up to 400 kV AC., • Develop and maintain engineering standards, design methodologies, and quality assurance processes relating to underground cable systems., • Provide expert oversight on thermal analysis, route engineering, earthing studies, jointing methodologies, system performance, and asset ratings., • Project Delivery, • Lead and/or review concept, FEED, and detailed designs for major onshore cable projects., • Produce and verify cable system design documentation including cable ratings, sheath bonding calculations, trench profiles, fault studies, pulling calculations, and installation methodologies., • Undertake or approve technical risk assessments and mitigation strategies during design stages., • Provide specialist technical support to construction and commissioning teams, including interpretation of test results and resolution of complex issues., • Compliance & Industry Standards, • Ensure designs comply with UK regulatory, utility and industry standards (e.g., NG ESO/NGED/SSEN requirements, IEC, CENELEC, ENA, Cigre guidelines)., • Maintain awareness of changes in relevant legislation, specifications, and good practice, advising the company accordingly., • Provide expert input into CDM design risk registers and safety‑by‑design principles., • Governance & Authorisations, • Act as, or provide technical support to, the Contractor Design Assurance Engineer (CDAE) or Lead Contractor Design Assurance Engineer (LCDAE) role, where applicable., • Guide internal teams on design assurance, technical governance, and project approval processes., • Innovation & Continuous Improvement, • Lead the evaluation and adoption of new cable technologies, materials, and installation techniques., • Contribute to research, development, and internal training programs to uplift the organisation's cable engineering capability., • Stakeholder & Client Engagement, • Represent the company in technical meetings with clients, suppliers, manufacturers, and statutory bodies., • Prepare and deliver high‑quality technical reports, presentations, and design justifications., • Support business development through technical bids, scopes, and client advisory services. Essential Skills & Experience • Extensive demonstrable experience in the design and analysis of HV/EHV cable systems (DC, 11 kV – 400 kV AC) within the UK electrical infrastructure environment., • Demonstrable expertise in cable ratings, thermal modelling, bonding & earthing, system layout, and installation engineering., • Proven track record of delivering complex cable projects for Transmission Operators (TOs), Distribution Network Operators (DNOs), ICPs or major EPC contractors., • In‑depth understanding of IEC 60287, IEC 60840, IEC 62067, CENELEC standards, ENA TS documents, and TO‑specific specifications., • Experience performing or holding the CDAE or LCDAE role for HV/EHV cabling (highly advantageous)., • Strong communication skills with the ability to influence technical decisions at senior levels., • Degree in Electrical Engineering or related discipline; Chartered Engineer status preferred., • Personal Attributes, • Highly analytical with strong problem‑solving capability., • Detail‑orientated with a structured approach to engineering assurance., • Collaborative, supportive, and capable of mentoring junior engineers., • Confident representing the company as a technical authority. Our market-leading offering provides you with benefits that suit your lifestyle. We have a virtual GP on hand for you and members of your household. So you can get expert advice by video or phone without having to leave your home. We offer financial wellbeing assistance through our Salary Finance scheme. For example, you could access 50% of your earned pay before payday for a small fee. Salary Finance also offers competitive loans. When you join us, we’ll give you a link to our flexible lifestyle benefits platform, Choices. You might choose to purchase up to five extra days’ holiday each year. You might buy critical illness insurance, seek dental treatment or buy technology products at an affordable cost. There are many choices! We give you access to high street discounts from thousands of well-known retailers, gyms and more through our MiDeals platform. And we have a cycle-to-work scheme. Life cover of up to four times your salary is available. We also offer enhanced pension contributions, a save-as-you-earn scheme, and a Mitie Matching Share Plan (you could even be awarded free shares in Mitie). We award our employees with Mitie Stars as recognition for their hard work. There are cash prizes up for grabs each month and at the end of the year there’s a chance to scoop a top prize of £10,000! Our success is a direct result of the experience and quality of our people. Progressing your career is therefore a top priority for us. We offer a diverse variety of training and development avenues via a wide selection of learning resources to suit you. Since 1987, Mitie’s 80,000 employees have been maintaining companies globally. We are the UK’s leading facilities management and professional services company, and our clients range from household names in banking, critical government sites as well as hospitals and schools. Join our Mitie Team. Together our diversity makes us stronger.

WANT TO TAKE YOUR CONSTRUCTION CAREER TO AUSTRALIA...? • Site Engineer, Project Engineer, Section/Senior Engineer, Sub-Agent, or Site Manager?, • Under the age of 35 in Scotland/the UK/Ireland?, • Experience in civil engineering projects, or working with a large main building contractor?, • Ever considered heading to Australia? Then you need to apply/get in touch - let us walk you through how to make this move a reality! Contract Scotland/CS International Recruitment work in partnership with PD Project Delivery, an Australian construction and project management company providing civil engineering & construction management expertise to successful projects throughout Australia. They deliver everything from roads/highways, rail, water, renewables, to bulk earthworks/groundworks, etc! If the above profile sounds like you (either experience in the civil engineering site/project environment, or relevant experience on large building projects - externals, piling, concrete frames/slipform, etc), then you could have your visa for Australia in 24 hours and be on your way to a new challenge Down Under. We’ve already placed a large number of Engineers from Scotland/the UK who also made the move and we can share their recorded experiences with you, before assisting you on the same journey. Plus PD Project Delivery’s leadership team includes people from Scotland/the UK who originally relocated to Australia over a decade ago, so they understand what is involved in relocating from the UK and are set up to support anyone making the move. Work is predominantly across Queensland, including Brisbane, Gold Coast, and Townsville etc, but projects do arise in other states, such as New South Wales, Western Australia, Victoria, South Australia, and the Northern Territory. With massive investment into infrastructure projects, the major projects pipeline continues to grow. Take Queensland (Brisbane/Gold Coast) alone as a single state - the current five-year pipeline has increased to $103.9bn (of which $65bn is already funded)! As a Project Engineer in Australia, you’ll be; • Coordinating all aspects of projects and delivering key construction requirements in line with safety, quality, budget & time., • Conducting site inspections and ensuring quality control, • Attending project meetings, preparing progress updates, and maintaining clear communication with clients., • Overseeing project timelines, budgets, and resource allocations, • Providing technical expertise and support to project teams, • Keeping track of and reporting project progression, identifying potential risks, and devising strategies for risk mitigation. Get in touch now and we can discuss how you can start your very own adventure down under!!

Senior AI Infrastructure Engineer (OpenStack & Kubernetes) Location: Remote (UK or EU Preferred) Sector: High-Performance GPU Cloud Computing The Opportunity I am representing a fast-growing, international scale-up that is building next-generation GPU cloud infrastructure. This company is the powerhouse behind a high-performance platform designed specifically for the most demanding AI, Machine Learning, and HPC workloads. As they scale their global footprint to meet massive demand, they are seeking a Senior Infrastructure Engineer who enjoys deep technical autonomy. This is a role for a specialist who wants to move fast, solve complex problems, and have direct ownership over the stability and scalability of business-critical systems. What You’ll Be Doing • Owning Infrastructure: Designing, deploying, and operating OpenStack and Kubernetes clusters optimized for multi-tenant GPU workloads., • Driving Automation: Building and maintaining infrastructure-as-code and GitOps practices to ensure seamless scalability., • Optimizing Performance: Enabling reliable workload scheduling through Kubernetes-native tooling, container runtime optimization, and NVIDIA integrations., • Ensuring Resilience: Maintaining high availability and observability through proactive monitoring, logging, and incident response., • Strengthening Security: Implementing strong controls, including RBAC and network policies, to ensure tenant isolation., • Cross-Team Collaboration: Working closely with DevOps, AI, and Product teams to align infrastructure capabilities with customer needs. The Ideal Profile • OpenStack Expert: Significant hands-on experience operating OpenStack in a production environment., • K8s Specialist: Strong experience running production-grade Kubernetes, ideally in bare-metal or private cloud setups., • Systems Generalist: A solid grounding in Linux, networking, and storage with a practical approach to troubleshooting., • Modern Workflows: Experience with infrastructure automation, CI/CD, and Git-based workflows., • Scale-up Mindset: The ability to thrive in a fast-moving environment with a strong sense of accountability. Nice to Have • Exposure to GPU-based infrastructure, large-scale compute platforms, or HPC., • Familiarity with advanced networking technologies., • Contributions to open-source or cloud-native communities. What’s on Offer? • Impact: The opportunity to make a visible, meaningful impact on a platform used by teams running compute-heavy applications., • Flexibility: Flexible working arrangements, including remote or hybrid options., • Growth: Clear career progression and the chance to help shape the company's culture and future., • Culture: A collaborative, transparent, and international culture built on trust., • Benefits: Competitive salary, annual discretionary bonus, 25 days holiday (plus public holidays), and wellbeing benefits.

Oracle Middleware Engineer (Oracle WebLogic SOA Suite, IBM APIC & DataPower) Role Summary Responsible for the operation, support, and enhancement of legacy enterprise middleware platforms, primarily based on Oracle WebLogic SOA Suite and IBM API technologies, supporting mission-critical integrations and APIs. Core Technology Stack • Oracle Middleware, • Oracle WebLogic Server 10.3.6 / 12c, • Oracle SOA Suite (BPEL, OSB, JMS), • Oracle API Security Gateway, • IBM Middleware, • IBM API Connect (APIC), • IBM DataPower API Gateway (AG), • Application Servers, • WebLogic, Tomcat, • Integration Patterns, • SOA, ESB, JMS, XML, SOAP, REST Key Responsibilities • Administer and support Oracle WebLogic and SOA Suite environments, • Deploy, configure, and troubleshoot SOA composites, services, and integrations, • Support IBM API Connect platforms, API lifecycles, and governance, • Configure and maintain IBM DataPower API Gateway:, • Security policies, • Routing, transformation, SSL/TLS, • Perform incident resolution, RCA, and problem management, • Manage patching, upgrades, and environment stability, • Coordinate with vendors (Oracle / IBM) for complex issues, • Maintain legacy API and integration platforms while supporting transformation initiatives, • Participate in 24x7 on-call support Required Technical Skills • Oracle Middleware, • WebLogic 10.3.6 / 12c, • SOA Suite, OSB, JMS, • IBM API Platforms, • IBM API Connect (APIC), • IBM DataPower API Gateway (AG), • Integration Technologies, • SOAP, REST, XML, JSON, • SSL certificates, security policies, • Application Infrastructure, • Apache, Oracle HTTP Server, • Operating Systems, • Linux, UNIX (Solaris exposure desirable) Common Mandatory Skills • SQL, • Oracle databases, performance and troubleshooting queries, • Linux, • Scripting, process analysis, log review, • Monitoring & Observability, • Dynatrace, Splunk, Elastic stack, • ITIL, • Incident, Change, Problem, Release Management, • Service Management tools, • Remedy or equivalent, • Jira, Confluence, Knowledge Base authoring

Firmware / FPGA Engineer (OpenCPI Focus) Location: United Kingdom Company: Akkodis Reporting to: Practice Lead Akkodis is a global leader in engineering, technology, and R&D, enabling digital transformation through connected data and advanced engineering expertise. Operating across 30 countries with over 50,000 engineers and digital specialists, we deliver innovative solutions across mobility, software, robotics, simulation, cybersecurity, AI, and data analytics. We are currently seeking a Firmware / FPGA Engineer to join our UK engineering team, supporting the delivery of advanced FPGA-based and software-defined systems for defence and mission-critical applications. This role has a strong focus on OpenCPI-based system development and integration, alongside traditional FPGA and digital design responsibilities. Role Overview You will contribute to the design, development, integration, and verification of FPGA and SoC-based systems within a structured engineering environment. A key aspect of this role is working with OpenCPI (Open Component Portability Infrastructure) to support modular, reusable, and high-performance digital system architectures. You will work closely with systems engineers, embedded software teams, and hardware designers to deliver robust and scalable digital solutions. Key Responsibilities • Deliver firmware and FPGA projects to agreed time, cost, and quality targets, with a strong emphasis on reuse and modular design principles, • Develop and verify RTL designs, including architecture, implementation, simulation, and hardware integration, • Support system-level integration using OpenCPI frameworks and component-based architectures, • Contribute to requirements analysis, design documentation, verification plans, and certification artefacts, • Collaborate across systems, hardware, embedded software, and algorithm teams, • Support process improvement, automation, scripting, and tooling enhancements, • Ensure compliance with relevant safety, security, and quality standards including DO-254, IEC 61508, IEC 62443, and ISO 26262 where applicable Required Experience • Strong experience in RTL design for FPGA-based digital systems using VHDL, • Experience with Xilinx (AMD), Lattice, or similar FPGA/SoC architectures, • Demonstrable experience working with or integrating systems using OpenCPI (or equivalent component-based FPGA middleware frameworks), • FPGA implementation of algorithms developed in MATLAB/Simulink (algorithm development not required), • Strong verification experience using OSVVM, UVVM, or UVM methodologies, • Familiarity with high-speed interfaces such as AXI, PCIe, Ethernet, JESD204, CameraLink, SMPTE, Wishbone, or OCP, • Experience with FPGA development tools such as Vivado, ModelSim, Diamond, Radiant, Vitis, or Propel, • Scripting ability using TCL or similar languages, • Working knowledge of DO-254 development processes, • Experience working within Integrated Project Teams (IPTs) in defence or regulated environments is highly desirable Required Skills • Strong communication skills with the ability to work across multi-disciplinary engineering teams, • Ability to take ownership of technical work packages, • Team leadership or technical leadership experience within small engineering teams is advantageous Education • Degree in Electrical & Electronic Engineering or a closely related discipline

Senior System Support Engineer We are partnering with a global leader in transport technology, searching for a Senior System Support Engineer to join their UK-wide IT Security team. This is a technical, high-ownership role focused on end-to-end patch management and vulnerability mitigation across critical infrastructure. You won't just be pushing updates; you will be responsible for the architectural health of the deployment lifecycle - troubleshooting complex networking protocols, subnetting, and firewall configurations to ensure 100% compliance across diverse OS and bespoke software environments. Key Details • Job Title: Senior System Support Engineer, • Salary: £50,000 – £55,000 Per Annum, • Location: 100% Remote (UK-Wide), • Sector: Transport & Infrastructure Technology What’s In It For You? • True Remote Autonomy: This is a 100% remote role. You’ll receive a competitive salary and the equipment needed to secure the UK’s transport networks from your home office, • Specialist Upskilling: While you’ll bring a strong foundation in Microsoft Intune or similar tools, you will become a subject matter expert in Ivanti, a highly sought-after toolset in large-scale enterprise environments, • Elite Technical Exposure: You won’t just be pushing updates. You’ll be collaborating with specialist technical departments, engaging in deep-dive troubleshooting on WAN/LAN, and protecting bespoke, proprietary software Key Responsibilities • End-to-End Patching: Lead the deployment of security patches across Operating Systems, COTS applications, and bespoke software, • Vulnerability Mitigation: Use Ivanti (and Microsoft Intune) to identify, track, and remediate vulnerabilities before they can be exploited, • Network Troubleshooting: Diagnose complex deployment failures by analysing subnetting, firewall rules, and network protocols to ensure seamless delivery across the estate, • Technical Liaison: Act as the primary point of contact for high-level technical calls, explaining complex security configurations to other engineering departments Requirements • The Tech Stack: Experience using Ivanti, or heavy experience in MS Intune, • Networking: Hands-on experience troubleshooting subnetting, firewalls, and core protocols, • Infrastructure Knowledge: A solid understanding of network topologies, including switches, routers, WAN, and LAN Apply Now!

Fully Remote, Outside IR35 Senior CI/CD Software Engineer - GitHub Actions / TypeScript We are supporting a major global cloud transformation programme and are looking for a highly specialised CI/CD Platform Engineer to help shape enterprise-scale developer tooling and delivery automation. This is not a traditional DevOps role. The team owns CI/CD and engineering enablement for a large-scale global platform environment and is responsible for defining how engineering teams build, test, secure and deploy software at scale. The focus is heavily around GitHub’s ecosystem, reusable engineering workflows and developer experience. What You’ll Be Doing • Designing and building enterprise-grade CI/CD platforms using GitHub Actions, • Developing custom GitHub Actions in TypeScript, • Creating reusable workflows and standardised deployment patterns across multiple engineering teams, • Building internal developer tooling and self-service engineering capabilities, • Defining secure-by-default pipeline standards including permissions, secrets management and OIDC authentication, • Improving developer experience and reducing engineering friction at scale, • Working closely with cloud/platform engineering teams across AWS and GCP environments, • Helping shape engineering standards, governance and automation strategy globally What They’re Looking For • Strong hands-on experience building CI/CD platforms from scratch at enterprise scale, • Deep GitHub Actions experience including custom actions development, • Strong TypeScript and Node.js engineering background, • Experience designing reusable workflows and shared developer tooling, • Strong understanding of platform engineering and developer enablement, • Experience embedding security and compliance into CI/CD workflows, • Infrastructure as Code experience (Terraform/CDK/etc.), • Experience working in large-scale cloud environments (AWS/GCP/Azure) Important The client is specifically looking for engineers who have owned and designed enterprise CI/CD capability, not engineers who have simply used pipelines as part of application development. You should be comfortable discussing: • workflow abstraction, • reusable CI/CD architecture, • GitHub platform tooling, • pipeline governance, • deployment standardisation, • developer experience engineering, • enterprise-scale automation patterns This is a genuinely high-impact engineering role working on globally scaled cloud transformation programmes. Apply now online.

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.

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.

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

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

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.

Location: London (hybrid) Level: Director Reporting to: VP of Engineering The company This is a well-funded, fast-growing B2B SaaS company that's become one of the most talked-about in its space. They've hit unicorn status and are now in the middle of a significant scaling phase — the engineering org is ~50 people today and is expected to grow to 150+ over the next 12 months. The product is used by some of the world's fastest-growing companies. The team is distributed across the UK and Europe, with a strong technical bar and a no-nonsense engineering culture. People here came from Google, Meta, Vercel, and high-growth scaleups. The VP of Engineering spent 9+ years at Google managing infrastructure teams at significant scale before joining at an early stage. This is not a corporate environment. Founders are hands-on, technical, and have high standards. The people who thrive here have opinions, make decisions, and lead from the front. The role You'll be joining as one of two Engineering Directors, sitting between the VP of Engineering and a layer of engineering managers who each lead autonomous product squads. You'll own a significant portion of the engineering organisation and be accountable for how it performs, scales, and grows. This is a player-coach role in the truest sense of leadership — not hands-on coding, but close enough to the technical work that you can hold your own in a systems design conversation, challenge architectural decisions, and earn the respect of strong engineers. What you'll be doing: • Managing a set of engineering managers and senior ICs, acting as their line manager, coach, and technical sounding board, • Owning the health and output of multiple product squads — delivery, quality, morale, and hiring, • Partnering with the VP of Engineering on org design, technical strategy, and how engineering scales from here, • Driving hiring across your org — you'll be building something meaningful over the next 12 months, • Feeding into cross-functional decisions alongside product, design, and go-to-market leadership, • Being the person who makes the call when things are ambiguous, moves fast when speed matters, and is comfortable having hard conversations What we're looking for Must-haves: • Experience managing engineering managers (not just individual contributors) — you've operated a layer of abstraction above the squads, • A background that combines time at a well-engineered large company and time at a high-growth B2B SaaS scaleup — you understand both how great engineering is built and what it takes to ship fast with limited resources, • The technical depth to do a credible systems design conversation — you don't need to write production code but you need to understand the tradeoffs engineers are making, • Experience in the 50–200 engineer range — you've either been through a scaling journey like this or are close enough to it that you understand what breaks and why, • Comfortable with ambiguity, fast-changing priorities, and a culture where the people above you are also deeply capable Strong signals: • B2B SaaS domain experience — RevOps, developer tooling, or anything close to the product surface, • You've hired well at pace — you know what great looks like and you can move quickly to close, • You've let people go when it was the right thing to do, • You've worked in a distributed team and made it work, • You're the kind of person who's done their research before walking into a room Not a fit if: • You're looking for a quiet, process-heavy environment, • Your default mode is "let me set up a committee", • You describe your leadership style primarily as "servant leader" and leave it there, • You haven't been close to the technical work in several years The interview process • Track record conversation (45 min, remote), • Incident response / technical leadership (45 min, remote) Compensation Competitive base salary, meaningful equity, and benefits. Range discussed on first conversation.

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.

AI Engineer / Workflow Automation Specialist Salary Up to £55,000-£60,000 DOE Location Fully Remote (UK-based) Type Full-time, Permanent About TRAKD TRAKD has partnered with a forward-thinking performance marketing agency pushing the boundaries of what's possible in the AI space. We've built out our own internal 'agency brain,' a self-hosted AI system running on Mac Minis via OpenClaw, pulling together data from across the entire business: Notion playbooks, Xero invoicing, Fireflies call recordings, Slack communications, and more. They're not just an agency that talks about AI; we're actively building the infrastructure to make every team member smarter, faster, and more effective. This hire is central to that mission. The Role We're looking for an AI Engineer to own, maintain, and expand our agency brain. This is a rare opportunity to work directly with our founder on genuinely cutting-edge internal tooling that most agencies haven't even started thinking about, especially in the UK. You'll be responsible for keeping existing AI workflows running reliably, building new agents and automations as ideas emerge from the team, and proactively bringing forward ideas that improve how we operate. Key Responsibilities Agency Brain Development & Maintenance • Own the upkeep and reliability of our OpenClaw-based agency brain, • Ensure integrations with Notion, Xero, Fireflies, Slack, and other platforms remain stable, • Diagnose and fix workflow breakages before they impact the team, • Continuously improve data ingestion, retrieval, and output quality AI Workflow & Agent Building • Design and build new AI-driven workflows based on internal briefs from leadership and ops, • Build agents for use cases such as: client sentiment analysis, churn detection, revenue opportunity spotting, and creative strategy generation, • Develop automated research-to-output pipelines — e.g. pulling TikTok/Instagram creative data and generating full brand strategy documents for strategists, • Explore and implement end-to-end creative workflows (e.g. pulling performance data → analysing → generating ad variations via AI video tools) LLM & Tooling Expertise • Stay at the forefront of developments across LLMs (Claude, OpenAI, Gemini, etc.) and agentic frameworks, • Identify cost-efficient ways to run workflows without burning unnecessary tokens or credits, • Evaluate and integrate new tools and MCP-connected services as they emerge About You Must-Haves • Hands-on experience building AI workflows and automations (n8n, Make, LangChain, or similar), • Deep familiarity with LLM APIs and prompt engineering, • Understanding of agentic AI systems, RAG pipelines, and vector databases, • Experience integrating third-party APIs (Slack, Notion, Xero, or similar), • Proactive, self-starting attitude you bring ideas, not just completed tickets Nice to Haves • Experience with OpenClaw or similar self-hosted agent runtimes, • Familiarity with sentiment analysis and NLP-based workflows, • Background in or exposure to performance marketing or creative agencies, • Experience with web scraping and social media data pipelines, • Knowledge of cost optimisation strategies for LLM usage at scale The Person Years of experience matter less than mindset. We're a team that subscribes to a 1% better every day philosophy; they want someone who shares it. You'll thrive here if you: • Keep your finger on the pulse of the AI world and get genuinely excited by new developments, • Spot opportunities to automate or improve things without being asked, • Communicate clearly and want to be part of a team, not just a coder in the corner, • Are comfortable working remotely but want to show up for team socials and culture What's On Offer • Salary up to £55,000-£60,000 depending on experience, • Fully remote working with flexibility, • Direct access to and collaboration with the founder, • The chance to build genuinely novel AI infrastructure this is not a maintenance role, it's a build role, • A fast-moving, ambitious team culture with regular socials, • Real scope for growth as the AI function expands

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.

Headlines: • Industry: Tech/Renewables (US Global Business), • Location: Remote Please note we are unable to provide VISA sponsorship at this time. We’re partnering with a leading publicly listed cleantech infrastructure pioneer to find an Electro Mechanical Engineer — someone who thrives on solving real‑world challenges, mastering sophisticated technology, and becoming the go‑to expert that teams rely on. If you love operating at the intersection of hardware and software and take pride in making advanced systems run seamlessly, this is your arena. Why You’ll Love It • Work hands‑on with innovative, future‑focused products, • Collaborate with passionate specialists across engineering, product, sales, and support, • Build a deep, versatile technical skill set in a fast‑growing, future‑shaping sector What You’ll Be Doing • Become a product authority through structured, hands‑on training, • Serve as the technical backbone for internal teams, answering product questions and producing clear, high‑impact documentation, • Join Sales and Level 2 Support in customer‑facing technical discussions, • Support testing, validation, and performance checks across hardware, firmware, and platform components, • Diagnose issues, perform deep‑dive analysis, and troubleshoot using advanced tools and methodologies, • Maintain accurate technical records and contribute to a smarter, more robust knowledge base What You’ll Bring • Strong technical grounding — ideally in electromechanical systems, embedded tech, or hardware‑centric environments, • Sharp analytical thinking and a natural instinct for problem‑solving, • Confident communication and comfort working cross‑functionally, • A structured, detail‑driven mindset paired with the curiosity to learn fast 👉 Ready to play a key role in powering the future of mobility? Apply now. .

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.

The Opportunity -> This is a performance-focused frontend engineering role with real architectural influence. ___ platform serves manufacturing clients globally, and the company is investing heavily in frontend performance as a strategic priority. The platform is undergoing a significant modernisation programme — the current Angular application requires upgrading to the latest version and modern architectural patterns, with potential future migration paths including React under evaluation. The priority is a high-performance, well-architected Angular frontend today, with the flexibility to evolve as the platform strategy matures. The engineering team is simultaneously modernising the backend (containerising .NET 8 for Kubernetes, migrating to PostgreSQL), and the AI team is building a copilot platform with multiple production agents. This role collaborates with both teams — particularly on API design and caching strategy — but the core focus is building high-performance frontend experiences, not maintaining legacy application code. There are greenfield modules being built from scratch (Digital Obeya dashboard, CIL, Centreline) where the frontend can be designed for performance from the ground up. This role carries significant architectural ownership — including knowing when to build custom components versus adapting and extending the base components available in the framework. Location: Fully remote, UK based. You'll interact with team members in the UK, Portugal, Spain, Brasil and US. Core Technical Requirements -> • TypeScript — non-negotiable. Deep proficiency required, including advanced type system features, generics, strict mode, and type-safe API contract patterns, • Angular (deep) — the production platform runs Angular 18. Must be proficient in Angular’s component model, dependency injection, RxJS, route resolvers, lazy loading, change detection strategies, and standalone components. Experience upgrading Angular applications to the latest architecture patterns (signals, control flow, deferrable views) is essential, • Component design judgement — must demonstrate strong instincts for when to build custom components versus adapting and extending base components from the framework or component library. Over-engineering bespoke components where framework defaults suffice wastes time; blindly using defaults where custom solutions are needed creates technical debt. The right candidate understands this trade-off deeply, • Modern CSS and component frameworks — Tailwind CSS (already in the stack) and shadcn/ui or similar headless component libraries. Must understand utility-first CSS, design token systems, and component composition patterns, • Performance obsession — this is the defining trait. Must have deep awareness of the patterns that drive up latency and costs:, • Bundle analysis and tree-shaking, • Code splitting and lazy loading (route-level and component-level), • Lighthouse proficiency (Core Web Vitals: LCP, FID/INP, CLS), • Main thread optimisation, • Network waterfall analysis and API call minimisation, • Browser caching strategies (service workers, HTTP cache headers, CDN configuration), • Virtual scrolling and rendering optimisation for data-heavy dashboards, • API collaboration — must work closely with backend teams to minimise API calls, design efficient data contracts, ensure caching is optimised at every layer (browser, CDN, API gateway, application), and eliminate N+1 query patterns, • Linux / CLI proficiency — must be comfortable with Linux environments, command-line tooling, and containerised development workflows AI-Assisted Development Methodology -> Solvace is transitioning towards AI-assisted development as a core engineering practice. For frontend engineers: • Hands-on experience with AI coding tools — Claude Code, OpenAI Codex, GitHub Copilot, Cursor, or similar. Engineers who use these tools professionally to accelerate component development, write tests, and refactor code are strongly preferred, • Spec-driven development — ability to write clear component specifications and design documents that drive both human and AI-assisted implementation, with strong evaluation criteria and comprehensive test coverage, • Portfolio evidence — professional projects or side projects built with AI-assisted development tools are a must. Contributions to or experimentation with emerging projects like OpenClaw are a strong signal, • Testing and evaluation rigour — experience building robust frontend test suites (unit, integration, E2E, visual regression) and automated performance budgets that catch regressions before deployment Nice-to-Have -> • Go or Rust — valued as evidence of strong systems thinking and backend empathy, which translates directly into better API design collaboration, • d3.js / ECharts — the platform uses both for data visualisation; dashboard modules are data-heavy with complex charting requirements, • Playwright — E2E test specs exist for key modules. Experience integrating Playwright into deployment pipelines with automated smoke tests is a plus, • Datadog RUM — the platform uses Datadog Real User Monitoring. Experience interpreting RUM data (session replay, per-country latency) to drive optimisation priorities is valuable, • React ecosystem — experience with React, Next.js (SSR, RSC, app router), and Vite (build tooling, HMR, tree-shaking) is valued. Potential migration paths including React are under evaluation, and candidates with experience across both Angular and React are well-positioned to contribute to that decision, • Micro-frontend architecture — experience with micro-frontend patterns (module federation, single-spa, or similar) for incremental framework migration is a strong plus, • WebSocket / SignalR — the AI copilot uses SignalR for real-time transcription streaming; the frontend integrates with this, • Internationalisation — the platform uses Transloco for i18n across 32 languages, • Accessibility (a11y) — WCAG compliance experience is valued Your Mission (First 6 Months) -> • Drive the frontend performance programme — lead a systematic effort to optimise page load times, reduce bundle sizes, implement lazy loading, and eliminate unnecessary API calls triggered by navigation. Establish performance budgets and integrate Lighthouse scoring into the CI/CD pipeline, • Optimise JavaScript delivery — audit dependencies, implement tree-shaking, introduce dynamic imports for heavy libraries (charting, Gantt, Excel generation), and establish bundle size budgets with CI enforcement, • Build greenfield modules for performance — new modules (Digital Obeya dashboard, CIL, Centreline) are being built from scratch. Design these for performance from the ground up: virtual scrolling for widget grids, incremental data loading, WebSocket-driven updates, and aggressive client-side caching, • Implement end-to-end caching strategy — work with backend teams to implement HTTP cache headers on stable API responses, CDN-level API caching for read-heavy endpoints, client-side query caching (TanStack Query patterns), and stale-while-revalidate strategies for dashboard data, • Establish frontend performance infrastructure — instrument the frontend with comprehensive APM (Datadog RUM), establish performance budgets in CI (Lighthouse scores, bundle size limits, Core Web Vitals thresholds), and build dashboards for real-time visibility into frontend performance, • Modernise the Angular architecture — upgrade the existing Angular codebase to the latest patterns (standalone components, signals, control flow, deferrable views). Evaluate and document potential future migration paths — including React — with trade-off analysis, effort estimates, and recommendations. The goal is a modern, performant Angular foundation today with a clear-eyed view of where the frontend architecture should evolve Research vs. Applied Entirely applied / production-focused. This is a hands-on frontend engineering role. The person needs to be comfortable profiling production performance, reading APM traces, and shipping measurable improvements. They’re measured on load time reductions and user experience metrics, not architectural elegance. Why Join? • Measurable, high-impact performance work — clear performance targets with comprehensive monitoring (Datadog RUM, Lighthouse). Every improvement is directly measurable and visible to the business, • Architecture influence — this person will modernise the Angular architecture and evaluate future migration paths including React, shaping the long-term frontend strategy for the platform, • Greenfield modules — new modules are being built from scratch. The frontend engineer gets to design these for performance from day one, • AI copilot frontend — the KAI copilot uses SignalR for real-time transcription and streaming agent responses. Building the frontend for an AI copilot in manufacturing is genuinely novel, • Manufacturing domain — dashboards, shop floor kiosks, and mobile-first inspection flows are unlike typical SaaS frontend work. Rich data visualisation challenges with real operational stakes, • High visibility — frontend performance is a strategic priority. Improvements are noticed at the highest level of the organisation

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!

Associate Director Electrical Engineering Hourly Rate: £69.58 per hour Inside IR35 via umbrella (40 hours per week) Location: Epsom, London, Peterborough, Cambridge (hybrid 3 days per week) Term: 6 months Our client are a world-class engineering services and nuclear organization. They connect people, data and technology to transform the world's infrastructure and energy systems. They’re committed to leading their clients across our various end markets to engineer a better future for our planet and its people. We are looking for an energetic and experienced Associate or Associate Director Electrical Engineer to join their team within the Design & Advanced Technology (D&AT) Practice. You’ll be part of a talented, multi-disciplinary team delivering cutting edge, iconic projects to our Water market clients. As a key member of our team, you’ll play a vital role in delivering transformational programmes for critical UK infrastructure, with opportunities to work on landmark engineering projects both domestically and internationally. We offer hybrid working which involves 3 days per week being office/site based. Your Role The role will offer a challenging and rewarding opportunity to apply knowledge, experience, and problem-solving skills whilst providing good opportunities for career development. As an Associate Director Electrical Engineer in the D&AT practice, the successful candidate would have the following responsibilities: • Lead a team of Electrical & ICA engineers for delivery of technical design work on complex multi-disciplinary projects following relevant client and project specific design codes and standards, and to high-quality levels., • Responsible for directing and reviewing technical deliverables such as Single Line Diagrams, Cable Block Diagrams, Load Schedules, MCC specifications, Control Philosophies, Control Network Architecture., • Provide technical leadership into project design deliverables for Electrical aspects of complex multi-disciplinary projects and work with the project management team to successfully manage time and budgets to key project milestones and programmes., • Collaborate with client, operational, project, or service activities within your immediate team, • Provide direction and guidance to Senior and Principal colleagues, • Work independently with minimal technical guidance. Exercise personal judgement to solve difficult problems where appropriate and provide guidance to Senior and Principal team members., • Work closely with multi-disciplinary teams in the UK and overseas to deliver integrated design solutions., • Setting quality assurance standards in design and ensure compliance from Electrical & ICA teams., • Leading business development initiatives to drive growth of water market for our client, • Support leadership and management of the D&AT team within the Manchester office. About You The ideal candidate would be a well-rounded and versatile individual who exemplifies the following key skills and attributes: • A degree in Electrical Engineering or equivalent., • Chartered Engineer., • Proven experience in leading or directing an Electrical & ICA engineering design delivery team for a design consultancy including within a multi-disciplinary environment., • Takes broad perspective to identify innovative solutions to design problems., • Requires comprehensive knowledge and practical experience in Electrical designs., • Extensive knowledge of water company design codes and standards as well as industry best practices, such as WIMES., • Strong awareness of HAZOP assessments, lightning strike risk assessments, earthing and bonding, lighting designs, DSEAR and ATEX installation practices., • Ability to work independently with minimal technical guidance., • Experience in water market is preferred but not required., • Experience in industrial and process environment is essential., • Demonstrates strong communication skills, with the ability to convey technical concepts clearly and effectively within diverse multi-disciplinary teams., • A proactive, highly motivated mindset with a collaborative approach to drive teamwork and shared success across projects.

👋 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