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Quality Engineer An established manufacturing and engineering business is looking to appoint a Quality Engineer to support continuous improvement activities across production and quality operations. This role is focused on improving process capability, reducing variability and strengthening quality systems, while supporting both internal teams and customer requirements. Working closely with production, suppliers and quality teams, you will play a key role in driving corrective actions, improving standards and maintaining robust quality processes. You will support day-to-day quality engineering activities across manufacturing operations. Key responsibilities: • Review and approve ISIR and FAIR documentation prior to customer submission, • Act as the first point of contact for internal quality concerns, • Investigate internal and external non-conformances and implement corrective actions, • Compile and submit PPAP documentation to customers where required, • Provide inspection support during periods of high workload or absence, • Review and approve concessions prior to customer submission, • Conduct regular QA audits across production processes, • Lead and support 8D investigations and root cause analysis activities, • Develop and improve process controls to strengthen manufacturing quality, • Raise and manage Supplier Corrective Action Reports (SCARs) and monitor corrective actions through to completion About You • Experience within a quality engineering or manufacturing quality role, • Knowledge of quality tools and methodologies including PPAP, FAIR, ISIR, CAPA, • Strong problem-solving and root cause analysis skills, • Experience working within manufacturing or engineering environments, • Able to communicate effectively across production, suppliers and customers, • Organised and detail-oriented with a proactive approach to continuous improvement What’s on Offer • Opportunity to play a key role in improving quality and manufacturing performance, • Collaborative engineering and production environment, • Exposure to customer-facing quality processes and supplier management, • Ongoing training and development opportunities If you’re an experienced Quality Engineer looking for a role focused on process improvement and operational quality, feel free to get in touch for a confidential discussion. Sounds good, how do I apply? Option 1: Click the apply button, don't worry if you don't have an up-to-date CV, we can discuss whatever you have to hand. Option 2: Find Morgan Veness on LinkedIn and drop me a message or connection request

Electrical Maintenance Engineer Location: Sheffield Salary: Up to £45,000 Hours: Days regular daytime shifts We’re looking for a hands‑on Electrical/Mechanical Engineer to join a small, supportive maintenance team. This is a days‑based role keeping production running smoothly through a mix of planned maintenance and reactive fault‑finding. What You’ll Be Doing • Carrying out planned preventative maintenance, • Diagnosing and repairing electrical and mechanical faults, • Supporting continuous improvement across the site, • Ensuring compliance with health & safety procedures, • Completing accurate documentation and maintenance reports What We’re Looking For • A multi‑skilled engineer who enjoys being “on the tools”, • Strong electrical and mechanical fault‑finding ability, • Reliable, detail‑focused, and able to work independently, • Someone who works well in a small team and contributes ideas, • Willing to go the extra mile to get the job done, • Full training on machinery and systems will be provided

Position : Process Engineer, Manufacturing Engineer, Technical Specialist Location : Sheffield, with some UK and international travel Employer : Innoval Technology Sector : Aluminium manufacturing Hybrid : No, the position will be office based if not out on a customer site Visa Support : Visa support or sponsorship is available to suitably qualified candidates Salary : Negotiable according to experience For a confidential discussion about this role, please contact Chris Carter at Nicholas Associates in Sheffield. Please note : Industrial experience in the metals manufacturing sector is essential for this position. This will ideally be in an employed position with a manufacturer or processor within the aluminium or other metals manufacturing sector although we are also happy to consider people from academia who have worked on research projects in collaboration with, funded by or on behalf of metals manufacturing industry partners. About Us : Part of the €4.5 billion Danieli Group, Innoval Technology provides high quality research, technology, innovation and sustainability consultancy services across a broad range of industry sectors including automotive, aerospace, packaging and construction. Our client base is primarily from the global aluminium industry and its producers, users, customers and investors. A recent investment in a new £10 million state-of-the-art, wholly owned facility reflects our commitment to growth. Innoval provides a powerful combination of technical expertise and practical experience that enables clients to achieve world class performance through our unique combination of skills that cover both product knowledge and process optimisation. Our internationally recognised team has specialist expertise in a wide array of fields including metallurgy, metal forming, thermomechanical processing, surfaces and coatings technology materials characterisation and analysis, process modelling, knowledge management, best practice and technical training solutions. Purpose : You will join a world-class team providing a unique resource capable of solving the most complex of metals processing problems. You will have proven experience of working in the aluminium or a non-ferrous metals manufacturing environment. We are open to candidates with a deep understanding of one or more of the following production processes - casting, extrusion, rolling, fabrication, recycling or finishing operations. The role is based in a new purpose-built facility on the Advanced Manufacturing Park in Sheffield but the position will entail the potential for regular short term overseas travel to provide high level consultancy and technical services to customers in the global aluminium industry. The Role : • Developing and delivering effective, customer-focused technical solutions in a timely manner, • Assisting customers with problem investigations, and then advising on solutions, • Working with customers on production and process continuous improvement programmes, • Supporting customers from an engineering and technical perspective on investment and expansion projects, • Actively contributing to the growth of the Innoval’s customer base, engaging with external customers to develop project proposals About You : • Holds a degree level qualification in Engineering, Materials Science, Metallurgy, Chemistry or similar technical discipline., • 4 years minimum industrial experience of working at state of the art facilities in any of the following manufacturing sectors: *Primary aluminium or non-ferrous production *Remelting & casting foundries (Melting operations, DC casting, shaped casting, continuous casting, etc) *Hot, cold and foil Rolling mills *Finishing coil and plate operations (levelling, slitting, stretching, coating, etc) *Extrusion or forging operations *Recycling operations • Strong technical investigation and root cause analysis skills, able to develop and present effective & sustainable solutions., • Experience in working across multiple plants or processes would be desirable, • Excellent data management attributes, including organisation, analysis, interpretation and reporting, • Experience with data processing software, techniques and simulation models is desirable., • Excellent interpersonal skills, able to interact with both technical and non-technical audiences in-person and across different communication platforms, • Proven technical report writing abilities, • Strong IT skills with familiarity with MS Office applications, • Fluent written and spoken English language skills, • Self-motivated, able to work both individually and as part of a multi-skilled team, • Flexible to travel to customer sites when required What is on Offer ? • Competitive salary based on experience and qualifications, • 26 days annual leave plus statutory holidays, • 5% employer salary contribution, • Employee salary sacrifice scheme, • 4 x salary life assurance, • EV salary sacrifice scheme, • Free secure car parking with EV charging points, • Long term job security with a profitable organisation coupled with ongoing professional and career development, • Short term overseas travel

Founding Software Engineer Key Points • Competitive salary + meaningful equity package, • Greenfield software build with full architectural ownership, • Computational geometry, C++/Rust, GPU compute and machine control, • Hybrid in Sheffield About the Client Due to continued growth and investment, we are recruiting for a Founding Software Engineer to join an innovative engineering organisation developing next-generation digital manufacturing technology. This is a rare opportunity to take ownership of a completely greenfield software platform that sits at the heart of a patented hardware product with global commercial potential. You'll work on challenging engineering problems spanning computational geometry, real-time processing, machine control, simulation and desktop application development. Benefits • Competitive salary, • Meaningful equity opportunity, • Private healthcare, • Opportunity to shape architecture, tooling, and future engineering hires, • Exposure to cutting-edge manufacturing and medical technology, • Flexible working arrangements with remote options available, • Greenfield development environment with no legacy systems The Founding Software Engineer Role As the first software hire, you will take ownership of the software platform powering an advanced manufacturing system. Working across the full software lifecycle, you'll design and develop systems that process complex 3D geometry, generate machine instructions, validate outputs and provide intuitive operator tooling. Responsibilities include: • Developing geometry-processing pipelines for large STL and mesh datasets, • Designing projection and surface-mapping algorithms for complex 3D forms, • Building validation systems to identify manufacturing defects before production, • Creating adaptive compensation and optimisation systems using real-world production data, • Developing desktop applications for machine operators, • Integrating software with hardware controllers and machine systems, • Driving architectural decisions across the entire software stack, • Leveraging modern AI-assisted development tools to maximise engineering productivity Essential Skills • Strong commercial experience with C++ or Rust, • Background in computational geometry, mesh processing, CAD/CAM, or 3D graphics, • Experience building performance-critical production software, • Proven ability to own software architecture and delivery end-to-end, • Experience developing reliable desktop or embedded applications, • Strong understanding of software engineering trade-offs and system design Highly Desirable Skills • CUDA, OpenCL, compute shaders, or GPU acceleration experience, • Experience with CGAL, libigl, Open3D, or similar frameworks, • CAD/CAM, additive manufacturing, dental technology, or industrial software exposure, • Software-to-hardware integration experience, • Cross-platform desktop development using Qt or similar technologies Nice to Have • Differential geometry, optimisation, or applied machine learning knowledge, • Medical device software experience, • Knowledge of MDR, FDA 510(k), or IEC 62304 environments, • Previous leadership or team-building experience To Be Considered Please either apply through this advert or email me directly via roisin.marsh@searchability.com. For further information please call me on 07441 348 209. By applying for this role, you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only. Key Skills C++, Rust, Computational Geometry, Mesh Processing, STL, CAD/CAM, GPU Compute, CUDA, OpenCL, Open3D, CGAL, Qt, Desktop Applications, Embedded Software, Machine Control, Manufacturing Technology, Software Engineering

Position: Mechanical Maintenance Engineer Location: Rotherham, South Yorkshire Salary: £55K-58K, inclusive of shift allowance Shift Pattern: • Monday to Thursday: 6:00am – 2:00pm, Friday: 5:00am – 1:00pm, • Monday to Thursday: 2:00pm – 10:00pm, Friday: 1:00pm – 9:00pm, • Sunday to Thursday: 10:00pm – 6:00am (night shift) Nicholas Associates have an excellent opportunity for a Mechanical Maintenance Engineer, to join an established client in the Rotherham area. Key responsibilities include: • Perform planned preventative maintenance (PPM), fault diagnosis, and reactive breakdown repairs on a wide range of mechanical plant and equipment., • Troubleshoot and repair complex mechanical systems, including hydraulics, pneumatics, rotating equipment, and associated mechanical drive systems., • Ensure maximum equipment uptime across critical manufacturing systems, including: Investment casting machinery and ceramic mould making systems; Heat treatment furnaces; Vacuum Arc Remelting (VAR) furnaces; Induction Skull Melting (ISM) furnaces; Air Melt Induction Furnaces., • Support the installation, commissioning, alignment, and modification of new and existing mechanical equipment., • Conduct root cause analysis (RCA) and implement corrective and preventative mechanical engineering actions., • Collaborate closely with production, engineering, and quality teams to support operational targets., • Maintain accurate and up-to-date maintenance records within the Computerised Maintenance Management System (CMMS)., • Ensure strict compliance with health and safety legislation and site-specific EHS standards., • Actively contribute to continuous improvement initiatives, including reliability improvements, downtime reduction, energy efficiency, and equipment upgrades., • Carry out installation, site improvement, and upgrade work across the site., • Install, maintain, troubleshoot, and repair mechanical systems including pumps, gearboxes, bearings, conveyors, pipework, and associated mechanical assemblies. Your experience: • Time-served Mechanical Technician or equivalent experience., • Mechanical maintenance experience gained within a mid – heavy manufacturing, engineering, or similar industrial environment., • Strong fault-finding and problem-solving skills., • Experience maintaining a range of industrial plant and equipment. Your qualifications: • HNC/HND in Mechanical Engineering or Engineering Maintenance., • NVQ Level 3 (or equivalent) in Mechanical Engineering, Maintenance Engineering, Engineering Maintenance, or Mechanical Fitting., • City and Guilds in Mechanical Engineering, Maintenance Engineering, Engineering Maintenance, or Mechanical Fitting.

We are delighted to be partnering with a very well established industrial services business in South Sheffield, assisting them in the recruitment of an Electrical Maintenance Engineer. Primarily, you will be responsible for maintaining equipment, fault finding and undertaking repairs. We require an Engineer with electrical bias and the ability to work on the PM shift (230pm - 1145pm) This role offers an excellent opportunity for professional growth within a forward-thinking organisation committed to excellence and continuous improvement. Overtime is available each weekend at 1.5 normal rate of pay. Duties: • Repairs, PPM, diagnostic analysis, • Analyse existing systems and processes to identify areas for optimisation and enhancement., • Collaborate with cross-functional teams including production and management to ensure objectives are met., • Conduct testing, troubleshooting, and validation of engineering solutions to ensure compliance with safety standards and regulations., • Oversee the installation, commissioning, and maintenance of engineering equipment and systems., • Stay updated with the latest industry developments, standards, and best practices to ensure organisational compliance and innovation. Skills: • Proven experience in engineering disciplines relevant to the role (e.g. electrical)., • Excellent problem-solving abilities coupled with a proactive approach to challenges., • Effective communication skills, with the ability to collaborate across teams., • Organised with strong attention to detail and the capacity to manage multiple projects simultaneously., • Knowledge of relevant health and safety regulations is desirable., • A recognised engineering qualification and additional professional accreditation is advantageous., • Experience of working in a commercial laundry is an advantage Benefits: • Competitive salary, • Overtime, • Company pension, • On-site parking Please apply for immediate consideration.

Electrical Maintenance Engineer Sheffield £40,000 – £50,000 + overtime (dependent on experience) The Business This is an excellent opportunity for an Electrical Maintenance Engineer to join a well-established and growing engineering business operating within a heavy industrial environment. The company has a good reputation for delivering high-quality engineered products across multiple sectors and continues to invest in both its people and its site. The Electrical Maintenance Engineer will be joining a business that values reliability, safety, and continuous improvement. The engineering team plays a key role in maintaining production efficiency. This is a great opportunity for an Electrical Maintenance Engineer who enjoys working in a hands-on, fast-paced environment where no two days are the same. The Electrical Maintenance Engineer will work a rotating shift pattern of 6am – 2pm and 2pm – 10pm, Monday to Friday, and they need to be flexible to work on call when required. Responsibilities of the Electrical Maintenance Engineer • Carry out planned preventative maintenance on electrical systems including distribution boards, drives, motors, control panels, PLCs, valves, and instrumentation, • Fault find, diagnose, and repair electrical issues quickly and safely to minimise downtime, • Inspect, test, and commission electrical installations in line with regulations, • Install and modify electrical systems, circuits, and control panels, • Record maintenance activities using CMMS and maintain accurate documentation, • Ensure all work is completed in line with Health and Safety regulations, including safe isolation and risk assessments Requirements of the Electrical Maintenance Engineer • Time served Electrical Engineer with Level 3 qualification in Electrical Installation or Maintenance, • Experience working within medium to heavy engineering environments such as foundry or steelworks, • Good understanding of electrical systems, wiring regulations, and fault finding, • Ability to work independently and solve problems effectively, • Experience using electrical testing equipment, • Flexible to work on call when required Desirable: • 18th Edition Wiring Regulations, • 2391 Inspection and Testing, • Siemens PLC fault finding or programming, • Control panel building experience, • Electrical installation work (tray, conduit), • Pneumatics or HV experience Package and Benefits of the Electrical Maintenance Engineer • Salary £40,000 – £50,000 dependent on experience, • On call allowance plus enhanced overtime rates (1.5x and double time on Sundays), • 21 days holiday + 8 bank holidays, • Annual profit share bonus, • Company sick pay, • Pension 5% employee contribution matched by 5% employer, • Healthcare cash plan, • Cycle to work scheme If you would like to find out more, please get in touch with Adele Lewis: Mobile: 07537 163611 Office: 0151 209 2050 adele.lewis@aspion.co.uk

We’re currently recruiting for a Hardware Engineer to join a growing technology business developing a range of electronic systems and products. This role will see you working across both existing (legacy) products and next-generation designs, taking ownership of hardware development from concept through to testing and validation. The Role As a Hardware Engineer, you will be responsible for the design and development of electronic systems, including working on a variety of products and peripherals. Key responsibilities include: • Designing electronic circuits and systems from concept to production, • Producing schematics and PCB layouts, • Supporting both legacy product updates and new product development, • Building and testing prototypes, including verification and validation, • Collaborating with internal teams and external stakeholders, • Producing clear technical documentation and reports Requirements • Around 4–6 years’ experience in hardware/electronics design, • Strong circuit design and PCB layout skills, • Experience working across the full hardware development lifecycle, • Ability to take ownership of designs and deliver independently, • Strong documentation and reporting skills Desirable: • Experience with wireless technologies, • Exposure to complex electronic systems or products What’s on Offer • Opportunity to develop into a well-rounded, “complete” hardware engineer, • Work across a mix of existing products and new developments, • Clear scope for career progression and increased responsibility, • Supportive and collaborative engineering environment If you’re a solid Hardware Engineer looking to step up and take more ownership in your next role, APPLY NOW

Chronos Energy are currently recruiting for a Principal Electrical Design Engineer for their client, a market leading District Heating developer in the UK. You will be responsible for the provision of design, engineering and technical input related to HV and LV electrical systems within the business to ensure the delivery of excellent district energy schemes. The Principal Engineer will be part of the Engineering team. The Engineering team is responsible for provision of detailed technical and commercial services to the to the Business, to ensure that all District Energy Assets, are designed, installed, handed over/adopted and operated to meet company requirements, current Legislation and relevant standards and Codes of Practice. About the Role Your key responsibilities are The primary duty will be providing expert input, coordinating and taking responsibility for all electrical design and installation works on a range of projects. Responsibilities • Delivery of designs and design review of electrical systems within district energy systems at all stages from inception through to commercial operation., • Development of electrical load assessments and electrical system selection strategies., • Supporting the commercial, project delivery and operations teams in management of client and contractor relationships., • Undertaking site inspections, snagging and witness of commissioning for electrical assets being built ahead of adoption or handover from contractor., • Providing advice and assistance to commercial, project delivery and operational teams within and other Teams within throughout the project lifecycle., • Production and regular review/update of reports, calculations, drawings and specifications., • Preparation of project budgets and estimates., • Ensuring that all electrical system designs meet operational requirements and maximise whole life value., • Attend site to perform installation snagging and auditing; witness testing and commissioning; and to verify installations align with specifications or provide recommendations for conformity., • Support the identification and scoping of measures to improve the electrical efficiency of existing district energy systems., • Review of design software used in the development for district energy design and implement Standards and Procedures., • Ongoing development and optimisation of design and inspection tools for district energy design to ensure they remain fit-for-purpose and support compliance with evolving industry regulation., • Provision of guidance to other departments on electrical aspects of district energy related activities, particularly, but not limited to design, adoption, specifications, and other technical matters., • Regular review of technology to ensure compliance with Legislation, and to reduce capital and operating costs., • Managing the design, approvals and handover/adoption process for electrical district energy assets., • Setting roles and priorities for Graduates, Engineers and Intermediate/Senior Engineers within the team for a specific project., • Working with the Engineering Director to ensure continual development of engineering team knowledge and expertise in district energy design and operations., • Supporting professional development of Graduates, Engineers and Intermediate/Senior Engineers within the team., • Undertaking continuing professional development to maintain and enhance knowledge of evolving Industry Standards and Codes of Practice, Health, Safety and Environmental related requirements., • Supporting the Engineering Director in development of strategy of the Engineering team and input to strategy for the wider Business., • Promoting and enhancing the reputation of the businesses within the company and within the industry., • Working in, and produce records as evidence of, compliance with all Safety Health environmental and Quality system requirements., • Support audit activity required to enable continued company accreditations., • Provide accurate quality work within the department and company., • Be readily contactable during normal hours., • Maintain a helpful and informative work environment., • Ensure that all relevant information is recorded accurately and submitted on time., • Comply with the latest company procedures, legislation and industry skills on all aspects of day-to-day work., • Any other duties as deemed appropriate by the Engineering Director. Qualifications • Professional Membership of an Appropriate Professional Institution (e.g. IET) to at least Associate working towards Chartered Engineering level and/or Masters or Bachelors Honours degree in relevant engineering discipline. Required Skills • Extensive experience of design and specification of a variety of HV and LV electrical systems for industrial or large scale commercial projects., • District Energy (Construction and Adoption) projects at all stages of project development with multiple stakeholders and complex requirements., • Experience in the use of electrical system design, modelling tools and CAD., • Extensive Knowledge and understanding of electrical Industry Standards, Codes of Practice, Health, Safety, and Environmental requirements and related Legislation., • Experience in line management and professional development of junior engineers. Preferred Skills • Excellent oral and written communication skills., • Able to produce reports, presentations and other written material to a very high standard and tailored to different audiences., • Commercial awareness and knowledge of project management and contract management procedures., • Ability in stakeholder management, negotiating, influencing and decision making.

Are you passionate about quality engineering and using automation to deliver reliable, high-performing software? Transport Exchange Group Ltd (TEG) looking for an experienced Senior QA Engineer to join the Quality Assurance Team, a fast-growing fintech SaaS business developing market-leading software for the transport industry. This is a highly technical role, ideal for someone with a strong background in test automation, Java development and modern software testing practices. About the Role As a Senior QA Engineer, you will play a key role in ensuring the quality, reliability and performance of our SaaS platform and mobile applications. Working closely with Developers, Product Owners and stakeholders, you will help deliver high-quality software through automation and continuous improvement. Key responsibilities include: • Designing, developing and maintaining automated test frameworks., • Executing functional, regression, API and integration testing., • Collaborating with Developers and Product teams throughout the software development lifecycle., • Investigating defects and carrying out root cause analysis., • Supporting production releases and validating deployments., • Driving improvements in testing processes, automation and quality standards. Why Join TEG? At TEG, quality is at the heart of everything we build. You will work with experienced engineers using modern technologies and have the opportunity to make a real impact across our products. What's in It for You? • Opportunity to work on large-scale SaaS products., • Exposure to modern automation frameworks and technologies., • Private Medical Insurance, Life Assurance and additional company benefits., • Supportive, collaborative engineering culture., • Genuine opportunities for career progression. Who We're Looking For You will stand out if you have: • 6+ years' experience in Software Quality Assurance., • Strong experience with Java and Playwright and/or Selenium., • Experience with API testing using Postman or Swagger., • Knowledge of SQL, CI/CD, GitHub and Jenkins., • Experience working in Agile development teams., • Excellent analytical and problem-solving skills., • A passion for delivering high-quality software through automation. Location: Chippenham, Wiltshire (Bewley House) Hours: Monday–Friday, 9:00–17:30 Compensation: From £50,000 (dependent on experience) Don't meet all the requirements? TEG value diverse perspectives and are committed to building an inclusive workplace. We are committed to a diverse and inclusive workforce. We are an equal opportunities employer and welcome applications from individuals of all backgrounds. We do not accept unsolicited applications from recruiters or agencies. If you require any reasonable adjustments to enable you to complete your application or would like us to apply reasonable adjustments when reviewing your application, please contact our HR team as soon as possible to discuss your needs. If you are an experienced automation engineer looking to work on complex technical products, we would love to hear from you.

Technical Lead – Platform Engineering £80,000 - £85,000 | Remote UK Linux | Kubernetes | OTA | Observability Do you enjoy solving complex platform challenges? Would you like to shape technology that operates across distributed, real-world environments? Are you ready to combine hands-on technical leadership with building and supporting a talented engineering team? Our client is a growing technology business delivering business-critical solutions used by a huge volume of people and businesses around the world. As part of continued investment in their core platform capability, they are looking for a Technical Lead – Platform Engineering to help shape the next stage of their technical evolution. This is a brilliant opportunity to work on a platform with genuine scale, complexity and impact, without being lost in layers of corporate process. You’ll have the autonomy to influence technical direction, explore modern engineering approaches and support a team of skilled engineers as they build reliable, secure and scalable systems. The Technology You’ll Get to Shape: This role offers the chance to work across a modern platform environment involving Linux, Kubernetes, container orchestration, OTA update mechanisms, observability, automation, secure deployment pipelines and distributed systems. You’ll have the opportunity to explore and influence areas such as: • Linux-based platform environments, • Kubernetes and containerised workloads, • Secure over-the-air update approaches, • Automation, image build tooling and deployment pipelines, • Observability tools such as Prometheus, Grafana, Loki and OpenTelemetry, • Platform reliability, resilience and security, • Cloud-native engineering practices, • Go, scripting and modern development tooling, • Distributed systems operating across multiple customer environments, • Experience in every area is not expected., • What matters most is strong platform engineering knowledge, technical curiosity and the ability to lead others through complex technical challenges. Why This Role Is Great You’ll have the opportunity to: • Lead the evolution of important platform services., • Shape technical strategy and architectural direction., • Evaluate and introduce modern platform technologies., • Improve scalability, reliability, security and operational efficiency., • Guide engineering standards, code quality and technical decision-making., • Mentor, coach and develop a small team of engineers., • Work closely with architecture, software engineering and operations teams., • Turn new ideas into practical demonstrations, prototypes and production-ready improvements., • Help create a supportive, inclusive and enjoyable team environment. About You You may already be working as a Technical Lead, Platform Engineering Lead, Principal Engineer, Staff Engineer, Senior Infrastructure Engineer or similar. You’ll likely enjoy this role if you have experience across areas such as: • Linux systems, platform engineering or infrastructure engineering., • Kubernetes, containerisation or cloud-native technologies., • Automation, deployment tooling or secure software delivery., • Observability, monitoring, logging and reliability engineering., • Supporting distributed, highly available or operationally complex systems., • Technical leadership, mentoring and architectural decision-making., • Communicating technical ideas clearly to engineers and stakeholders., • Additional exposure to areas such as OTA updates, immutable infrastructure, GitOps, IoT-style messaging, cloud platforms or test automation would be useful, but not essential.

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

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, • Ensure solutions align with Ema's agentic architecture and platform capabilities Hands-On Engineering • 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, • Work with data stores such as PostgreSQL, Clickhouse, Elastic, and Redis to shape scalable, extensible schemas for customer deployments Feasibility Judgment & Agentic Workflow Translation • 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, • Anticipate where AI implementations break: integrations, data quality, scale, edge cases Customer Leadership (Post-Sales) • 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, • Communicate progress, risks, and decisions clearly across technical and executive audiences Production Readiness & Stabilization • 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, • Stabilize systems post go-live under real pressure Cross-Functional Collaboration • 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.

Lead / Founding Engineer (Stealth Consumer Startup) We’re currently partnered with a stealth, early-stage consumer startup building a new interactive web platform. They’re looking for a Lead / Founding Engineer to join at an early stage and take ownership of building the product from the ground up. This is a hands-on role suited to someone who enjoys working from 0 → 1 and wants to play a key role in shaping both product and technical direction. What you’ll be doing • Building and shipping the core product across the full stack, • Turning an early prototype into a scalable, production-ready platform, • Working closely with the founder on product decisions and UX, • Designing and implementing core backend systems and user-facing features, • Integrating third-party services and lightweight AI functionality where relevant What they’re looking for • Strong full-stack engineering experience (modern JS frameworks, APIs, databases), • Comfortable owning the entire stack end-to-end, • Product mindset — able to think beyond just implementation, • Experience building and shipping real products, • Self-starter who thrives in early-stage, ambiguous environments Nice to have • Experience with consumer-facing products, • Experience building interactive or data-driven platforms, • Familiarity with AI APIs and integrations Why this role • Opportunity to join at a very early stage as a key technical hire, • High ownership and direct impact on product direction, • Small, fast-moving team, • Clear pathway to evolve into a long-term founding role with meaningful equity Further details on application.

The role We encourage collaborative engineering practices rooted in Extreme Programming (XP) such as pair programming, making overlap with our UK-based engineers highly preferable (GMT+0 to GMT+2). We are a market-leading nature tech company on a mission to make nature measurable and actionable at scale. Our platform delivers vital insights on species, habitats, and nature-related risks, helping businesses across sectors - from mining and renewable to CGS and financial services - make smarter, more sustainable decisions. As global leaders in biodiversity monitoring and eDNA analysis, we are transforming how nature is measured. Our technology makes biodiversity insights accessible, actionable, and scalable, powering change from conservation to industry. Recognised as Earthshot Prize Finalists 2024, BloombergNEF Pioneers 2024, World Economic Forum Technology Pioneers 2024, and part of the TechNation Future Fifty 2025, we are shaping the future of how organisations understand and protect nature. We are looking for an experienced full-stack Product Engineer to join our collaboration-first product engineering team. You'll join a team of seasoned engineers delivering end-to-end features across the entire stack that powers our transformational biodiversity platform. You won't just be writing code; you will be solving user problems, shaping the roadmap, and taking features from an initial concept through to a live product. Design, build and scale geospatial systems. Collaborating with domain experts across Engineering, Product, Data, Bioinformatics and Nature Strategy, you will translate complex requirements into seamless user experiences. You will help define and run experiments, practice rigorous iteration, and incrementally enhance our ability to build and evolve systems that store, compute and visualise geospatial and other nature-related datasets such as eDNA and bioacoustics. Influence technical strategy and make decisions in ambiguity. You will drive foundational work across product and engineering, helping our teammates navigate various data engineering challenges, guiding technology choice and adoption of best practices. This includes designing and delivering scalable, cloud-based systems and leveraging AI to accelerate development. Contribute to the sustainable delivery of quality software. You will produce well-tested, maintainable code across infrastructure, backend and frontend — using Go or Python on the back-end and React and TypeScript on the front-end — balancing quality with impactful velocity, through both pair programming and peer-reviewed development. Champion engineering fundamentals. You will help the team continually raise the bar through code review, open discussion, and by leading by example. When we move fast and keep scope lean, it's the scope that shrinks, rather than the quality. Support our customers. We believe in owning what we build. You will help define what success looks like for the features you ship, setting the right targets, alerts, and thresholds to catch problems before our customers do. You will participate in an on-call rotation to support issues as they arise, and actively work to reduce the repetitive, manual toil that slows the team down and limits our impact. Support our teammates. You will have ample opportunities to mentor other engineers as they build their skills and experience. You'll do so through pair programming, code reviews, daily communication with your team, giving and receiving thoughtful feedback, and helping your teammates grow. You have a strong sense of what good engineering looks like and can articulate and coach that, helping the team build not just their technical skills, but their engineering instincts. About you What you'll bring A love of nature. We are mission-driven, with a deep affinity for the protection of biodiversity and natural systems. To make hard things happen, our team puts mission over ego. You find purpose not only in your own growth but in stopping climate change and biodiversity collapse. Experience with scalable data processing. You have led the design and implementation of concurrent, scalable and reproducible data workflows, are familiar with the challenges of data-intensive systems, and can advocate for best practices across pipelines and distributed compute. The systems you build enable rapid feature development without accumulating the debt that slows teams down. Familiarity with geospatial concepts. You may not be a geospatial expert, but you're comfortable discussing the differences between vector and raster data and applying these to the design of geospatial data pipelines and storage. A strong sense of collaborative teamwork. You believe that the best outcomes come from working closely together, not just splitting tickets and syncing up at standup. Through pairing, shared ownership, and genuine investment in your teammates' growth, we deliver better software, spread knowledge more effectively, and build a team where everyone can do their best work sustainably. You act as a bridge between technical and non-technical stakeholders, bringing clarity to requirements and trade-offs, and helping everyone move in the same direction. Technical fluency across the stack. You are comfortable working across the full stack, from back-end data pipelines and APIs through to intuitive, responsive front-end interfaces. You go where the work is, not where your comfort zone is, and you care about the experience as much as the implementation. Comfortable supporting production software. You have experience shipping to production, investigating and triaging issues in deployed code, and have opinions about making on-call an effective and positive experience. When you ship, you ship with confidence, delivering tangible value and keeping the team moving forward. An adaptive and curious mindset. You are comfortable pivoting in response to new insights and don't wait to be pointed at problems. You proactively identify opportunities for improvement and take ownership of driving them forward, because you care about the product, not just your slice of it. A focus on customer value. You will look beyond the ticket and have the experience to keep things simple, revisit scope, and work in small iterations — never losing sight of the problem you were meant to solve. You are interested in how customers use the platform and are willing to iterate rapidly based on feedback and usage data. Clear and open communication. We consider clear and thoughtful communication a fundamental engineering skill and a strong predictor of future impact. You demonstrate this in your contribution to documentation, collaborative problem-solving, and willingness to give and receive feedback. Don't hesitate to apply despite only ticking some of these boxes. Our strength is in our diversity, and we look for individuals who bring something new to the team, whether it’s background, skill, or perspective. Though we are on the lookout for a Senior engineer, a pathway to Staff level exists for engineers who are willing and able to take on the responsibilities and expectations that come with it. We recommend discussing this pathway with the Head of Data and Engineering and Lead Software Engineer during the interview. What's in it for you Get up every morning knowing that you’re working to stop climate change and biodiversity collapse Competitive Salary Flexible work arrangements Opportunities for professional growth in a high-scaling tech environment. Benefits package (for those UK-based, international benefits will vary) including salary sacrifice pension scheme prioritising sustainability; life assurance; Enhanced annual leave; Cycle to Work Scheme; enhanced family friendly policy; £250 L&D budget to use on our Learning platform, Learnerbly. Why us? At NatureMetrics diversity and inclusion are part of our DNA. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us to the communities we work with. Our values leave no space for stereotypes. We are all unique and pull together for a common purpose. About us Backed by ambitious investors, we're on a mission to make biodiversity measurable at scale to underpin global goals and accelerate finance into nature. NatureMetrics combines tech and AI to derive simple insights from the full complexity of nature on the ground. We're a dynamic team passionate about nature and biodiversity and we take immense pride in our work and our impact. Join us on this journey!

The engineering craft to match your modelling depth: production-grade Python, a high bar for code quality and system design, and the ability to work alongside software engineers as a technical peer across the full ML lifecycle. Senior Staff Machine Learning Engineer. You will work closely with other

This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers. She will pick the best candidates from Jack's network The next step is to _. Job Title: Full-Stack / Platform Engineer Salary: £90k + Equity Company Description: Handshaik - AI-native company intelligence platform backed by BigChange founder Martin Port. Job Description: Join a high-growth startup as a foundational engineer building an AI-native platform for M&A and private equity. You will own the entire technical lifecycle—from architecting Python/FastAPI backends and React frontends to managing AWS infrastructure and integrating LLMs via Bedrock. This role offers direct influence over the company’s technical future. Location: London, UK Why this role is remarkable: Significant ownership as a foundational hire, working directly with the CTO and founders to define engineering standards and product roadmap. High-performance technical stack involving AI-driven search, vector databases (pgvector), and agent-based workflows at the frontier of dealmaking technology. Strong commercial backing from the BigChange ecosystem and Cambridge AI researchers, moving rapidly toward product-market fit with active early customers. What you will do: Design, build, and operate a production SaaS platform using Python (FastAPI), React, and PostgreSQL, ensuring high performance and security. Architect and scale cloud infrastructure on AWS using Terraform, ECS, and Lambda while maintaining multi-tenant security and ISO 27001 standards. Develop and optimize hybrid search capabilities and data pipelines, integrating LLMs to automate complex research tasks for dealmakers. The ideal candidate: 7+ years of experience building and shipping production-grade systems in startup or small-company environments with a strong bias for action. Expert proficiency across the full stack, specifically Python, React/TypeScript, PostgreSQL, and hands-on AWS infrastructure management. Proven ability to make sound architectural decisions independently and a genuine enthusiasm for leveraging AI to solve fragmented manual workflows. Who are Jack & Jill? Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support. And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate. Next steps Step 1. Visit _. Step 2. Click 'Talk to Jack'. Step 3. Talk to Jack so he can understand your experience and ambitions. Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role. Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction. Step 6. If not, Jack will find you excellent alternatives. All for free. We never post fake jobs This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network. Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description. We appreciate this can make them look a bit suspect, but there isn't much we can do about it. Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.

Grafana Labs is a remote-first, open-source powerhouse. There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps more than 3,000 companies -- including Bloomberg, JPMorgan Chase, and eBay -- manage their observability strategies with the Grafana LGTM Stack, which can be run fully managed with or self-managed with the , both featuring scalable metrics (), logs (), and traces (_). We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applicants based in Spain, Germany, the UK or Sweden at this time. The Opportunity: As a Mimir Engineer you’ll join one of two sub-squads, Ingest or Query, that together maintain the open source _ and operate Grafana Cloud Metrics across three major cloud providers. This role offers the opportunity to work on large-scale, high-performance distributed systems where efficiency, resilience, and reliability are essential to keeping our metrics offerings competitive and smooth at massive volumes. Mimir engineers work across a variety of streams. You’ll typically collaborate with another engineer on a larger project while also driving performance and reliability improvements identified from operating the system in production. In this role, you’ll write and review PRs and design documents, help guide automated release rollouts, and participate in the on-call rotation for the systems you own. This is a chance to directly shape, optimize, and scale one of the industry’s most advanced metrics platforms. What You’ll Be Doing: • Take an active role in influencing our roadmap and your own career objectives, • Work with your team to deliver new features, then use the results to iterate and improve., • Drive projects from initial idea all the way to operations once it is in the hands of customers, • Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope, • Design, build, operate, and maintain critical systems, owning the reliability, performance, and availability, • Be a part of your team’s follow-the-sun on-call rotations and take ownership of the services you’re running, • Support other team members, participate in design discussions and collaborate with the team, • Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system What Makes You a Great Fit: • Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively, • Collaboration and communication: The smallest unit we have is a squad. You’ll be working with your teammates in a fully remote setup. Good communication skills are a must., • Solid experience with at least one programming language. We use Go, but if you have familiarity with Python, C, C++, Rust or similar then that translates well, • Some experience with delivering projects from gathering requirements, brainstorming ideas all the way to shipping a product to the customer’s hands in a self-driven way, • Some experience with developing software that runs in the Cloud or some experience with systems engineering, • Some experience with being on-call and following the DevOps model, • Experience writing clean, robust, and performant software that is easily maintained by others, • Familiarity with observability systems, know when to use metrics, logs, traces, to debug a problem. Bonus Points For: • Experience working with Kubernetes, • Experience working with queue systems, e.g. the Kafka protocol, • Been a user of Grafana and Prometheus in operational roles (including on-call for your team at a previous employer or just using these tools on hobby/homelab projects), • Exposure to microservices architecture and distributed systems, or a desire to learn, • Familiarity with the concept of infrastructure as code In United Kingdom, the compensation range for this role is GBP 91,755 - GBP 110,106. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we’re working hard to make sure that’s the foundation of our organization as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

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

Principal Applied AI Engineer Location: United Kingdom or Netherlands (Remote/Hybrid) My client is an enterprise software company that is making a significant investment in AI-native products and building a team of Applied AI Engineers to help define the next generation of its platform. This is a highly hands-on role focused on designing, building, deploying, and operating production AI systems. You'll own AI-powered product features end-to-end, working across application development, agent orchestration, retrieval systems, deployment, observability, and customer-facing implementation. This is not a research role. We're looking for engineers who have shipped real AI products to real users and understand the challenges that come with operating them in production. What You'll Do • Build AI-powered product features from concept through production, • Design and deploy agentic systems, tool-calling workflows, and multi-step reasoning architectures, • Build and optimize RAG pipelines, retrieval systems, and knowledge architectures, • Develop evaluation frameworks and testing strategies for non-deterministic AI systems, • Work across the stack, including frontend, backend, infrastructure, and deployment, • Partner closely with product, engineering, and customers to deliver impactful AI capabilities, • Help establish best practices for production AI engineering across the organization What We're Looking For Production AI Experience • Proven experience shipping LLM-powered products to production, • Experience operating AI systems at scale and managing real-world failure modes, • Strong understanding of model selection, prompting strategies, context management, and reliability Agentic Systems & RAG • Experience building agentic workflows and tool-calling systems, • Experience with frameworks such as LangGraph, CrewAI, AutoGen, or custom agent architectures, • Strong understanding of retrieval systems, embeddings, vector databases, hybrid search, and re-ranking, • Familiarity with GraphRAG is a plus AI Evaluation & Observability • Experience building evaluation frameworks for AI systems, • Familiarity with regression testing, LLM evaluation methodologies, and performance monitoring, • Experience with tools such as LangSmith, Langfuse, Braintrust, OpenTelemetry, or similar platforms Engineering Fundamentals • Strong Python development experience in production environments, • Experience with TypeScript, modern web frameworks, and API development, • Comfortable working with cloud infrastructure, containers, CI/CD pipelines, and Kubernetes, • Experience deploying and operating services in Azure environments is preferred Ideal Background We're particularly interested in engineers who have experience building customer-facing AI products, working closely with users, and owning systems from idea through production. Experience in enterprise SaaS, industrial software, operations technology, maintenance platforms, or forward-deployed engineering environments is beneficial but not required. What We're Not Looking For • AI strategists without recent hands-on engineering experience, • Researchers without product or deployment experience, • Candidates whose experience is limited to demos, prototypes, hackathons, or internal chatbots, • Engineers who cannot clearly explain how they evaluate AI systems in production If you're excited about building production AI products, working closely with customers, and helping shape an AI-native platform from the ground up, we'd love to hear from you.

About Euphoric: Euphoric builds AI-first employee benefits administration software for the world’s largest and most prestigious employers. Born out of Peppy Health — a fast-growing, category-defining Series B startup — we spun out in May 2025 to tackle a far bigger opportunity. Global employers spend $3–5 trillion on benefits every year. It’s their second-largest cost after payroll — yet the entire category is still running on legacy systems and outdated assumptions. The space is primed for transformation: despite its scale, it’s been almost completely overlooked by AI-first startups. Incumbents — including one U.S. heavyweight with $2B+ in annual revenue — are constrained by archaic tech stacks and can’t move fast enough to innovate. And this isn’t just a massive market — it’s genuine “tech for good.” Smarter benefits administration, richer analytics, and clearer communication have the power to directly improve the everyday lives, wellbeing, and financial security of millions of employees worldwide. We’re a sharp, high-velocity team with bold ambitions, obsessed with building category-defining technology and partnering with exceptional people who want their work to truly matter. We closed significant seed rounds in October 2025 & May 2026 and are building from a position of strength with a long cash runway. We've already secured contracts with several of the world's largest enterprises and are now preparing for rapid expansion as we scale the platform globally. The role: We’re looking for a Software Engineer to bring their ambition, creativity, and technical prowess to join our high-powered team to build the technology that powers the world’s first lovable, AI-native benefits platform. You’ll have real ownership, big targets, and a chance to help shape both the work you do and the company in general. We care less about traditional career paths and more about raw talent, bias for action, and how much fire you bring. What you’ll do: • Build AI-first features end-to-end: You’ll contribute to the design, deployment, and iteration of our next-generation benefits platform features that leverage personalization, experimentation, and AI/ML methods (e.g. agents/LLMs, recommender systems, reinforcement learning) to enhance user experience in a meaningful business domain., • Contribute across the tech stack: You’ll work in React (JavaScript/TypeScript) on the frontend and Python (FastAPI, SQLAlchemy) on the backend, shipping production-ready code and user-facing features in addition to innovative ML work., • Live on the cutting edge of AI tooling: You’ll help push the boundary of what’s feasible with modern AI-powered software development tools (Cursor, Windsurf), keep up with the regular drumbeat of AI advances, and find new and exciting ways to build and explore new features faster., • Participate in a fast-paced iterative environment: Collaborate closely with design, product, and beyond to deliver and iterate on impressive features and prototypes at world-class pace., • Keep code clean and well-tested: Maintain clean, efficient, and tested code with clear documentation for both peers and future reference., • Review, refine, and grow: Actively participate in peer reviews, CI/CD processes, and a growth-minded engineering culture, where you continuously seek to level up your technical skills., • Be a team player: Sometimes you’ll be iterating on ML pipelines; other times you’ll be refining a frontend component or fixing a tricky bug. We need someone who’s excited about the full product journey and moving together as one. Skills & experience: • Industry Experience (3+ years): Prior experience contributing to impactful products in fast-paced or startup environments, with an understanding of both scale and quality from larger tech organisations., • Hands-On Full Stack Skills: Proficiency in React/Typescript and/or Python (RESTful APIs, data pipelines), plus comfort with deploying and maintaining services on modern cloud platforms (GCP preferred, AWS or Azure also fine)., • Applied AI/ML Skills: First-hand experience building and delivering AI/ML features to real users, and an insatiable curiosity to keep up with emerging technologies and trends, • Team-Oriented Mindset: Strong communication skills for explaining complex ideas to technical and non-technical audiences, and a passion for collaborating within cross-functional teams., • Passion and Pride in Shipping: A do-whatever-it-takes attitude to deliver against important business goals that help the entire team win, • Pragmatic Best Practices: An overarching desire to build efficient, scalable, and maintainable code, while learning the tradeoffs between technical debt and delivery speed What we look for: We’re a great bunch but we have some "Euph" cultural non-negotiables. To do well here you will: • Thrive in fast-paced, feedback-rich environments, • Take your work seriously, but not yourself, • Be proactive, playful, and deeply curious, • Want to build something that matters, • Be willing to “do what it takes” What you’ll get: • Salary between £90k - £110k dependent on experience, • Remote-first setup anywhere in the UK with optional shared work space pass and a hub in London, • Apple devices and the best AI tooling, • Private healthcare via Vitality, • 3% employer pension contribution (min 3% employee contribution), • Meaningful early-stage share opportunities, • 25 days holiday per year, plus bank holidays, • Career rocket fuel - real growth, real ownership, real impact

Senior Software Engineer Digital Assets Infrastructure Remote (UK only) About Zumo Zumo builds the infrastructure that makes digital assets work for businesses. Our platform provides a range of digital asset services through a suite of APIs and tools, enabling partners to build and scale their own products on top of our infrastructure. We’re a UK-based team driven by transparency, accessibility, and a belief that the benefits of blockchain technology should be available to everyone. We’re building something meaningful and we need engineers who care about quality to help us do it. The Role We’re looking for a Senior Software Engineer to join our established engineering team, reporting directly to the CTO. You’ll work across our core digital asset infrastructure as well as the client-facing portals and dashboards that our partners use day-to-day. This is a backend-heavy full-stack role. You’ll spend most of your time designing and building APIs and services in Node.js and TypeScript, but you’ll also own frontend work in React for partner-facing applications. We want someone who’s excellent on the backend and confident enough on the frontend to ship polished, production-quality interfaces. We use AI development tools daily across the team, whether that’s for code generation, debugging, or speeding up routine work. We expect you to be comfortable doing the same. You don’t need blockchain experience. If you have a genuine interest in digital assets and want to learn the domain, we’ll teach you the rest. This is a remote UK-based role, with mandatory in-person team meetups in Edinburgh on a regular basis. Responsibilities • Design, build, and maintain backend services (Node.js) powering our digital asset platform as well as client-facing portals and dashboards (React), • Own features end-to-end: from architecture and design through implementation, testing and deployment to maintenance, • Design and evolve well-structured, documented APIs, • Continuously improve and optimise the technical infrastructure for performance, reliability, and maintainability, • Interact with partners and integration clients to understand their needs and support adoption, • Engage with the team via code reviews, knowledge sharing sessions and daily work, • Collaboratively drive engineering standards and technical decisions, • Work closely with Product to ship optimal technical solutions and maintain delivery transparency Skills & Experience What we’re looking for: • 5+ years of professional software development experience, • Strong Node.js and TypeScript skills. This is the core of our stack, • Understanding of software design and architecture principles, ability to make substantiated technical decisions in collaboration with the team, • Understanding of distributed systems, microservices and event-driven architectures, • Solid experience designing and building RESTful APIs, • Comfortable working with React to build client-facing web applications or willing to learn, • Confident skills in relational databases, particularly PostgreSQL, • A disciplined approach to testing. You write tests as a matter of course, • Clear communication and the ability to work autonomously in a remote team, • Ownership mindset - you own engineering outcomes end to end and are proactive about finding the best solution to the problem and continuously improving our technology and client experience, • A team player - we believe that working closely together, helping each other and learning from each other is critical for delivering great outcomes Nice to have • Experience with AWS, infrastructure in general and tools to manage it (Terraform, CDK), • Background in fintech, payments, or regulated environments, • Front-end or full-stack experience, • Any exposure to digital assets, blockchain, or crypto, but genuine curiosity is what matters most Our Tech Stack • Node.js / TypeScript, • AWS (ECS / Fargate, Lambda, RDS, SNS, SQS, API Gateway, Elasticache), • React, • PostgreSQL, • Redis Salary £60k - 75k p.a. Benefits Our mission is to create an environment where you can do the best work of your career. • Remote-first: We have an office in Edinburgh, but remote is our primary way of working, giving you the flexibility to work from wherever suits you., • Generous time off: 40 days of holiday per year., • Professional development: A culture of learning, curiosity, and ongoing growth., • Pension: Flexibility to opt in to our voluntary company pension scheme. Our Values Inclusion inspires Zumo is accessible to everyone, everywhere. We believe the benefits of digital assets and blockchain are for everyone, and our decisions balance people, profit, and planet. Transparency wins We build with usability and security at the core. We make the complex simple and never hide behind jargon. Unshakeable commitment We bring our best every day. Great work comes from a calm, focused environment, and we give feedback with respect. Love the adventure We don’t take the easy path unless it’s the right one. We explore constantly, and we accept failure as part of getting it right. At Zumo, we believe in the strength that difference brings to our business, our culture, and our community. We value the perspectives and experiences of all our colleagues and are proud to be an equal opportunity employer. Interested? Please apply via LinkedIn. We'd love to hear from you!

Join a Cutting-Edge AI Transformation Programme We are seeking an experienced Azure Software Engineer (AI) to join a high-profile programme delivering next-generation AI-powered capabilities within a secure and highly regulated environment. This is an exciting opportunity to work at the forefront of Artificial Intelligence, Generative AI and Cloud Engineering, designing and building intelligent, cloud-native solutions on Microsoft Azure. You will play a key role in transforming business requirements into scalable, secure and production-ready AI applications, working alongside architects, data scientists, engineers and stakeholders across a complex enterprise landscape. If you're passionate about Azure, AI, Large Language Models (LLMs) and building innovative solutions that create real-world impact, we'd love to hear from you. The Role As an Azure Software Engineer (AI), you will be responsible for designing, developing and deploying intelligent applications and AI-driven solutions using Microsoft's Azure ecosystem. Working within a multidisciplinary Agile team, you'll contribute across the full AI lifecycle, from experimentation and proof of concept through to deployment, optimisation and ongoing support. Key responsibilities will include: • Designing and developing AI-enabled applications using Azure OpenAI, Azure AI Services and Azure Machine Learning, • Building Generative AI solutions leveraging LLMs, prompt engineering, embeddings and Retrieval Augmented Generation (RAG), • Integrating Machine Learning models into enterprise applications using Azure ML endpoints and APIs, • Developing scalable APIs and cloud-native services, • Creating robust data ingestion, transformation and processing pipelines, • Implementing MLOps practices including model deployment, monitoring, retraining and lifecycle management, • Applying Responsible AI principles and governance standards, • Working closely with architects, data engineers, data scientists and business stakeholders to deliver innovative solutions Essential Skills & Experience Azure & AI • Strong hands-on experience with:, • Azure OpenAI, • Azure AI Services, • Azure Machine Learning, • Azure AI Search, • Experience designing and delivering AI-enabled cloud-native applications, • Practical experience with Generative AI technologies, • Knowledge of RAG architectures, embeddings and prompt engineering, • Experience integrating AI models into production environments Software Engineering • Strong development experience with:, • Python, • C#, • JavaScript/TypeScript, • API design and development, • Microservices and distributed systems, • Modern software engineering best practices Cloud & DevOps • Strong Azure platform expertise, • Azure DevOps and/or GitHub Actions, • CI/CD pipeline implementation, • Docker and Kubernetes (AKS), • Azure Monitor and Application Insights, • Infrastructure and application observability Data & MLOps • Data pipeline development (ETL/ELT), • Azure Data Lake, Synapse and Cosmos DB, • MLOps and model lifecycle management, • Model monitoring, performance optimisation and drift detection What We're Looking For You'll be a collaborative and technically curious engineer who thrives in complex environments and enjoys solving challenging problems. You'll bring: • Strong problem-solving and analytical skills, • Excellent stakeholder engagement and communication abilities, • A passion for emerging AI technologies, • Experience working within Agile and DevOps environments, • The ability to translate business requirements into scalable technical solutions, • A focus on quality, security and operational excellence Security Requirements Due to the nature of this programme, candidates must: • Hold active SC Security Clearance, • Be a Sole UK National, • Hold a British Passport, • Be eligible to work within secure government and defence environments Contract Details • 10-Month Initial Contract, • Inside IR35, • £650-£750 per day, • Remote Working, • Occasional travel to Reading or Warton, • Immediate Interviews Available If you're an experienced Azure AI Engineer looking to work on innovative, mission-critical programmes using the latest Azure and Generative AI technologies, apply today.

Senior Frontend Engineer (React, TypeScript, AI/LLMs) I'm currently partnering with a well funded health technology business that is building innovative digital products at the intersection of healthcare, software engineering, and artificial intelligence. They are looking for a highly capable Senior Frontend Engineer to join a small, high performing team and play a key role in building beautiful customer facing experiences and AI powered digital products. Location • Remote across the EU What You'll Be Doing • Building, deploying, and maintaining beautiful, fast, and effective web experiences using React, TypeScript, and modern frontend technologies, • Collaborating closely with commercial, product, and design stakeholders to deliver exceptional user experiences from concept through to production, • Making extensive use of Large Language Models and AI tools to accelerate development, while applying strong engineering judgement to review, refine, and optimise generated code, • Owning and improving modern email architecture, building robust templates that render consistently across devices and email clients, • Analysing user behaviour through tools such as Microsoft Clarity and user testing sessions to identify friction points and improve conversion rates, • Building and evolving scalable frontend systems, including component libraries, design systems, automated testing, translation management, and performance monitoring, • Developing AI powered functionality using Large Language Models and related technologies, • Integrating third party AI services and evaluating emerging AI tools and workflows, • Contributing to frontend architecture decisions, engineering best practices, and technical standards, • Helping shape the technical roadmap as the company expands its platform capabilities What They're Looking For • Strong commercial experience as a Frontend Engineer, • Expert level React and modern JavaScript/TypeScript experience, • Excellent understanding of HTML, modern CSS, responsive design principles, and frontend performance optimisation, • Experience building and deploying production grade web applications using modern frontend frameworks, • Hands on experience working with AI technologies, including Large Language Models, AI agents, prompt engineering, or related tooling, • Strong understanding of frontend architecture, design systems, scalability, and maintainable code practices, • A strong eye for design, visual hierarchy, typography, spacing, and user experience, • Experience using analytics and user insights to drive product improvements and optimise conversion, • Ability to thrive in a fast moving, product focused environment, • Excellent communication skills and ability to work remotely within a distributed team, • High levels of ownership, initiative, and a proactive approach to problem solving Preferred Background • Degree in Computer Science, Engineering, Mathematics, Physics, or a related technical discipline, • Strong academic pedigree, ideally from a leading university, • Experience working within high growth technology businesses, venture backed start ups, or product led software companies, • Exposure to healthcare, health tech, or regulated environments would be beneficial but is not essential What's on Offer • Fully remote role within the EU, • Opportunity to work on meaningful products with real world impact, • Significant ownership and influence over technical direction, • Exposure to cutting edge AI technologies and product development, • Competitive salary and benefits package If you're interested in building AI enabled products that can genuinely improve people's lives while working with a talented team, I'd be happy to share more details.

Lead AI Engineer (AI GTM Platform) About the Opportunity I'm partnering with an ambitious AI startup building an AI powered GTM platform that automates outbound sales at scale. The team is small, highly technical, and shipping new features every week. They're looking for a Lead AI Engineer who wants to take ownership of technical direction, architecture, and product delivery. This is an opportunity to join early, work directly with the founders, and have a significant impact on both the product and company trajectory. The Role As the Lead AI Engineer, you'll be responsible for shaping the technical roadmap and making key architectural decisions across the platform. This is not a role where requirements are handed to you. You'll work closely with the founders to identify opportunities, define solutions, and deliver production ready systems that create real business impact. You'll own projects from initial concept through to deployment and iteration, helping build a scalable AI platform used by customers every day. What You'll Be Doing • Designing and building core platform features, including outbound automation, lead generation, integrations, and AI agent workflows, • Defining architecture for LLM orchestration, evaluation frameworks, observability, and agent reliability, • Building and scaling backend systems using Python and FastAPI, • Working with modern cloud infrastructure and data platforms, • Shipping quickly, gathering feedback, and continuously improving the product, • Collaborating directly with founders on product strategy and technical direction, • Establishing engineering best practices and helping shape the future of the platform What They're Looking For Essential • 3+ years of professional software engineering experience, • Strong experience building and shipping production software products, • Deep expertise with Python and modern backend development, • Experience designing scalable systems and making architectural decisions, • Hands on experience deploying and working with LLMs in production environments, • Understanding of prompt engineering, evaluation frameworks, and managing non deterministic AI behaviour, • Strong problem solving skills and the ability to operate with ambiguity, • A product mindset with a focus on delivering customer value Nice to Have • Experience with FastAPI, • Experience with React, Next.js, or other modern frontend frameworks, • Experience with PostgreSQL, Supabase, AWS, or Vercel, • Previous startup or early stage company experience, • Experience building AI agents, workflow automation platforms, or GTM tools What Success Looks Like • Taking ownership of major technical decisions, • Delivering high quality features quickly and consistently, • Improving platform reliability, scalability, and performance, • Helping shape product direction through close collaboration with founders, • Building systems that customers actively use and derive value from Working Environment • Small, high trust team, • Direct communication and minimal bureaucracy, • Fast paced environment with significant ownership, • Focus on outcomes and impact rather than hours worked, • Opportunity to influence both product and technical strategy Location • Hybrid, London, • Remote applications also considered

Olo is a leading SaaS platform accelerating digital transformation in the restaurant industry, by helping customers deliver more personalised and profitable guest experiences. As a result, our digital ordering, payment, and guest engagement solutions enable brands to do more with less and make every guest feel like a regular. While our roots are in NYC, we’re intentionally investing in Belfast and Northern Ireland as a key hub, with an established leadership presence, a local team, and community for the long term. This role is fully remote, offering you flexibility to work from anywhere within NI. Your new role As a Fullstack Software Engineer on the Catering team at Olo, you will design, build, and monitor solutions that facilitate the online ordering, management, and effortless transmission of high-value Catering orders to our customers. Our team's mission is to create tools and features that support restaurant operations for the accurate production of catering orders and ensure our guests are served on time and without interruption. We aim to collaborate well. We encourage new ideas and experimentation. No part of the codebase is off-limits. You'll work with a passionate team dedicated to delivering amazing products using modern technologies. • Design and implement scalable, high-quality components and services that align with team and company goals., • Contribute to technical decision-making, including solution design and architecture, with a focus on addressing technical debt, reliability, and system performance., • Collaborate closely with product managers, designers, and stakeholders to translate customer needs into technical solutions., • Proactively monitor and improve system performance, identifying and resolving issues swiftly and effectively, while communicating clearly and effectively with stakeholders during incidents to ensure alignment and prompt resolution., • Take a proactive approach to support, digging into issues to identify root causes and developing long-term, proactive solutions to prevent recurrence., • Document and share knowledge effectively to elevate the team’s technical expertise., • Champion best practices in software development, agile methodologies, and continuous improvement., • 3+ years of experience in software engineering, including excellent knowledge of C#, .NET and commercial experience with Typescript and a Front-end framework (React or similar)., • Experience with cloud services like AWS and familiarity of containerization with Docker and EKS., • Experience writing unit tests and testable code., • Demonstrate strong problem-solving skills and the ability to navigate complex technical challenges., • Exhibit excellent judgment, seeking diverse perspectives and challenging assumptions to improve outcomes., • Deliver constructive feedback that empowers individuals and strengthens the team., • Communicate technical concepts clearly, adapting to both technical and non-technical audiences., • Consistently meets sprint and quarterly commitments while maintaining high standards of quality and efficiency.About Olo Olo is a leading restaurant technology provider with ordering, payment, and guest engagement solutions that help brands increase orders, streamline operations, and improve the guest experience. Each day, Olo processes millions of orders on its open SaaS platform, gathering the right data from each touchpoint into a single source—so restaurants can better understand and better serve every guest on every channel, every time. Over 800 restaurant brands trust Olo and its network of more than 400 integration partners to innovate on behalf of the restaurant community, accelerating technology’s positive impact and creating a world where every restaurant guest feels like a regular. Learn more at _. _We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

SenseOn is looking for a Forward Deployed Engineer to sit at the intersection of security engineering, software development, and customer success. This is one of the broadest and most impactful technical roles in the business, you will be the person who makes SenseOn work, in the real world, for real customers. As a Forward Deployed Engineer, you will embed directly with customers to deploy and configure the SenseOn platform, develop custom integrations, and ensure that every customer derives measurable security value as quickly as possible. You will own the technical outcome, supporting technical sales and working on technical delivery to enable SenseOn to be effective. This is not a pre-sales or demo role. You support both new business engagements and existing customer renewals, providing the technical depth to prove and quantify the value SenseOn delivers and ensuring that as deployments grow more complex with expanded log ingestion, customers always feel in safe hands. You will report to the VP of Technology and work closely with the Security Operations, Customer Success, Sales Engineering, and Product teams. Location: UK Travel: Approx 25% to customer sites Experience: 3 to 6 years+ The Role in Detail You will own the full technical lifecycle of a customer deployment, from initial architecture review through to live production, ongoing integration development, and long-term platform health. You will build cloud integrations. You will write and tune detection rules in SIEMs. You will debug customer environments. And you will ensure that every customer you touch becomes a SenseOn advocate. Your impact does not stop at deployment. As SenseOn’s log ingestion capability grows and deployments become more complex and wide ranging, you will work with the Customer Success team to build the technical business cases that win renewals and drive expansion bringing the same engineering rigour to proving value as you do to deploying it. • Lead end-to-end SenseOn platform deployments and complex log ingestion rollouts without customer disruption., • Conduct architectural reviews to define deployment strategies and identify integration opportunities., • Own the post-sale technical relationship into steady-state operations, delivering against technical success criteria tied to quantifiable security outcomes., • Travel to UK and international customer sites approximately 25% of the time., • Provide the technical evidence base and build business cases for renewals and expansions, translating platform telemetry and incident response data into clear customer outcomes., • Proactively health-check environments, close technical gaps, and resolve visibility issues ahead of renewal conversations., • Collaborate with Sales Engineering to ensure continuity from pre-sale technical validation through to post-sale deployment., • Write production-quality software to build and maintain integrations across third-party security tools, SIEMs, identity platforms, and AWS, Azure, and GCP environments., • Contribute reusable connectors to the SenseOn integration library and create custom automation to optimise security operations workflows., • Work confidently across backend languages (Python preferred; Go, JavaScript, and Bash valued) utilising RESTful APIs, webhooks, and data pipeline patterns., • Write, tune, and maintain high-fidelity, low-noise SIEM detection rules by translating threat intelligence and attacker behaviour., • Map coverage to the MITRE ATT&CK framework to address visibility gaps, and develop new detection logic with Security Operations., • Iterate on rules post-deployment to reduce false positives, and provide expert guidance to customers regarding their detection strategy and risk posture., • Develop deep relationships with customer security leadership, acting as a trusted adviser across their security architecture., • Proactively mitigate adoption risks, resolve deployment blockers, and conduct structured onboarding from platform fundamentals to advanced threat hunting., • Monitor deployed environment health, address technical drift, and translate field experience into actionable product feedback internally., • Partner with Sales Engineering on Proof of Value (POV) engagements, providing technical credibility to differentiate SenseOn., • Contribute to bespoke technical demonstrations, architecture proposals, and solution designs for complex prospects transitioning from legacy platforms or traditional SIEM solutions., • Act as a direct conduit between the field and product teams, raising well-evidenced bugs, feature requests, and detection improvements., • Participate in User Acceptance Testing (UAT) for new platform releases to provide field-informed quality assurance., • Identify cross-environment patterns to highlight new detection opportunities or platform capability gaps for the analytics backlog. Essential • 3–6 years of experience in a technical cybersecurity role, ideally spanning Security Operations and an engineering or customer facing function., • Demonstrable software development capability, you must be able to write, review, and deploy code in a production context. Python is strongly preferred., • Proven ability to write and tune detection rules in one or more SIEM platforms (e.g. Splunk, Microsoft Sentinel, Elastic, QRadar). You are comfortable translating threat scenarios into detection logic and iterating on rule quality based on operational feedback., • Hands-on experience building and troubleshooting integrations with cloud platforms (AWS, Azure, or GCP), REST APIs, and common security tooling including SIEMs, EDRs, XDRs, and NDRs., • Strong understanding of networking fundamentals, operating systems (Windows and Linux), and identity and access management concepts., • Experience deploying or operating software in containerised environments (Docker, Kubernetes)., • Excellent written and verbal communication skills, with the ability to engage credibly with both technical engineers and non-technical stakeholders up to C-level., • Based in the United Kingdom with the right to work in the UK. Highly Desirable • Prior experience in a Forward Deployed Engineer, Customer Success Engineer, or Technical Account Manager role at a security or SaaS company., • Experience supporting customer renewal engagements from a technical perspective — building business cases, evidencing value, and closing coverage gaps ahead of renewal conversations., • Familiarity with log ingestion at scale, including the operational and architectural challenges of onboarding diverse log sources across complex enterprise environments., • Experience with CI/CD pipelines, Infrastructure-as-Code (Terraform, Ansible), and modern DevSecOps practices., • Exposure to machine learning or AI-driven security analytics platforms., • Relevant industry certifications such as CISSP, AWS Solutions Architect, GCIH, or equivalent., • Experience supporting or replacing incumbent security platforms (e.g. Darktrace, CrowdStrike, Splunk) within enterprise customer transitions. Within your first 90 days, you will have completed at least one end-to-end customer deployment, established yourself as the technical lead for a portfolio of accounts, and shipped at least one integration adopted by a customer in production. Within 6 months, you will be leading complex multi-environment deployments independently, supporting renewal engagements with clear technical business cases, and have contributed meaningful detection rules and integrations to SenseOn’s shared library. Within 12 months, you will be shaping how SenseOn approaches deployment and customer value quantification at scale, informing product roadmap decisions, mentoring more junior team members, and owning the technical success of some of SenseOn’s most strategic accounts. What We Offer • Competitive salary commensurate with experience, • Unlimited holiday allowance, • Hybrid working model with flexibility around customer commitments, • Bi-annual career progression review, • Personal learning and development budget, • MacBook and all necessary tooling provided, • Enhanced pension scheme, • Private healthcare through Vitality, with rewards and discounts Belong at SenseOn At SenseOn, we define Talent as employees who are customer obsessed and pursuing excellence. They are courageous, good people, doing good things, powering our mission. If this resonates with you, then you will always belong. Nothing else matters. We are an Equal Opportunity Employer and do not discriminate against any qualified employee or applicant. Difference is what makes us stronger.

About Us Antavo is a rapidly growing, VC-backed scale-up disrupting the loyalty management market with its innovative omnichannel technologies. We are recognized by Gartner and Forrester as a leading pure-play loyalty management platform. The Team The Antavo Team is a passionate, dynamic, innovative and fun-loving professional team. From consultative salespeople to savvy marketers to tech whizzes, we have a diverse team of talented individuals with one unified focus: our customers. Customers are at the heart of everything we do, and we pride ourselves on always taking an innovative, customer-centric approach to creating the right experiences, products, and content for them. With big dreams and a grand mission, we’re looking for great like-minded people to join us - people who are passionate, fearless and entrepreneurial. If you’re looking for a dynamic, no corporate-BS environment to learn, grow, and really make an impact, we could be the perfect fit for you! The Role We are looking for a Senior Technical Account Manager to act as a trusted technical advisor for Antavo’s strategic customers. This role is focused on long-term customer success, technical adoption, platform stability, solution optimisation, and proactive risk management. You will work closely with customers after go-live to ensure their Antavo setup remains scalable, reliable, and aligned with their evolving business and technical needs. You will combine strong technical understanding with excellent customer-facing communication skills. You should be confident discussing integrations, APIs, data flows, configurations, release impacts, platform behaviour, technical risks, and best-practice recommendations with both technical and non-technical stakeholders. A key part of this role is developing and maintaining a strong command of the Antavo platform. You should be able to understand complex customer setups, advise customers on optimal platform usage, troubleshoot technical topics, and act as a bridge between customers and internal teams. This role may require occasional customer travel for strategic workshops, technical reviews, Executive Business Reviews, or ad-hoc planning sessions when required. Candidates should preferably be based in the EU region or a timezone that allows strong overlap with European customers. HI THERE, I’m Shariq Ahmed Head of Customer Success here at Antavo We are a product-driven company. Our team is made up of passionate, smart people who help our customers achieve their goals by providing guidance, support, and strategic partnership throughout their journey with Antavo. We are looking for a Senior Technical Account Manager to join our friendly and agile team. I’m looking for someone who can combine technical depth, customer empathy, structured problem-solving, and strong ownership to help our customers get the best out of Antavo. I’m looking forward to working with you! Your main responsibilities • Maintain strategic technical relationships with senior customer stakeholders, including Engineering leadership,, • Architecture teams, Digital leadership, Product leadership, and C-level executives where relevant., • Act as the executive-level technical advisor for assigned strategic customers, helping customers align their technical roadmap and operational strategy with Antavo capabilities., • Lead technical alignment discussions related to scalability, architecture evolution, operational maturity, governance, and long-term platform strategy., • Represent Antavo in high-impact customer discussions involving technical escalations, strategic initiatives, platform evolution, or executive-level technical governance., • Provide strategic technical guidance and coordination across customer teams and internal Antavo departments, while ensuring ownership and follow-through of critical technical topics, • Act as the primary strategic technical advisor for assigned enterprise and strategic Antavo customers after go-live, • Build and maintain strong relationships with customer technical, business, and executive stakeholders, including Engineering leadership, Product teams, Architects, CRM, Digital, and C-level stakeholders where relevant, • Develop a high level understanding of each customer’s Antavo setup, integrations, data flows, configurations, environments, and business use cases, • Proactively identify technical risks, limitations, dependencies, adoption gaps, and optimisation opportunities, • Guide customers on best practices for platform usage, integrations, configuration, scalability, performance, and operational efficiency, • Translate technical concepts, trade-offs, risks, and recommendations into clear, customer-friendly guidance, • Act as a bridge between customers and internal teams such as Customer Success, Customer Operations, Support, Engineering, Product, Professional Services, and Implementation, • Preserve customer context internally and ensure technical topics are clearly documented, owned, and followed through, • Support customers through platform changes, upgrades, new feature adoption, and release-related questions, • Contribute customer feedback, technical insights, and recurring pain points into Product and Engineering discussions, • Partner with Customer Success Managers to support customer health, retention, value realization, and expansion opportunities, • Participate in Executive Business Reviews, technical reviews, workshops, and ad-hoc success planning sessions when required, • Help customers increase their self-service usage of the Antavo platform and Backoffice, • Create or contribute to internal and customer-facing documentation, playbooks, technical notes, and best-practice materials, • Support internal process improvements, technical account management playbooks, automation, and scalable ways of working, • Use AI tools where relevant to improve productivity, analysis, documentation, reporting, and customer communication, • Continuously deepen product, technical, loyalty, SaaS, and customer domain knowledge You should have • Proven experience building and maintaining relationships with senior technical and executive stakeholders, including CTOs, Heads of Engineering, Architects, Digital leaders, and enterprise decision-makers., • Strong ability to balance technical depth with strategic customer engagement and executive communication., • Experience acting as a trusted advisor for enterprise customers in complex, multi-stakeholder SaaS environments., • Ability to lead strategic technical conversations focused on scalability, operational maturity, technical governance, and long-term platform evolution., • Proven experience in a senior customer-facing technical role within a B2B SaaS environment, such as Technical Account Manager, Technical Customer Success Manager, Solutions Consultant, Customer Success Engineer, or similar, • Strong experience working with technical SaaS products and live customer environments, • Excellent communication and relationship-management skills, with the ability to earn and maintain customer trust, • Ability to explain technical topics clearly to both technical and non-technical audiences, • Strong problem-solving skills with a structured, analytical, and pragmatic mindset, • Experience working with integrations, APIs, data flows, web technologies, technical configurations, and production systems, • Ability to understand complex customer setups and identify risks, dependencies, and improvement opportunities, • Strong ownership and task prioritisation skills across multiple strategic customers, • Experience collaborating with Product, Engineering, Support, Customer Success, and Implementation teams, • Familiarity with issue and project-tracking tools such as Jira, • Understanding of software development processes, release cycles, incident handling, and escalation management, • Calm and confident approach in escalated, ambiguous, or high-impact customer situations, • Comfortable working in a remote, international SaaS environment, • Hands-on experience using AI tools to improve or automate internal processes, workflows, documentation, reporting, analysis, or customer-facing operations., • Built and showcased at least one practical AI-enabled project, workflow, or automation, with the ability to explain the problem solved, tools used, impact achieved, and lessons learned, • Willingness and ability to travel approximately 30-40% across the EU & NAM region for customer meetings, Executive Business Reviews, workshops, and ad-hoc technical training sessions Nice to haves • Experience with loyalty technology, CRM, MarTech, customer engagement platforms, e-commerce, or digital marketing technology, • Experience with loyalty business use cases such as points, tiers, rewards, campaigns, personalization, segmentation, omnichannel engagement, and member lifecycle, • Experience with RESTful APIs, SDKs, JavaScript frameworks, webhooks, authentication methods, and data integrations, • Good understanding of databases, including SQL and NoSQL concepts, • Experience working with e-commerce platforms such as Magento or Shopify, • Familiarity with marketing CRM or automation platforms such as Salesforce, Emarsys, Braze, Bloomreach, or similar, • Experience supporting enterprise or strategic customers, • Experience participating in technical workshops, solution reviews, Executive Business Reviews, or customer architecture discussions, • Experience improving technical account management processes, playbooks, dashboards, documentation, or automation workflows, • Previous experience in customer success, professional services, solutions engineering, or implementation consulting Benefits • The opportunity to quickly advance in your career, • AntavoCare health insurance benefit, • International vibe: our working language is English, and we have 100 colleagues from 8 different nationalities, • A dynamic, no corporate-BS environment to learn, grow, and really make an impact, • You will have a strong team around you to support you in reaching your goals Why our team loves working at Antavo • “Antavo is remote-first, so I can work from my home, which means a lot to me. We regularly meet in-person.”, • “Truly international vibe, with different nationalities working on one mutual goal.", • "I love my comfortable environment (no dress code, flexible working hours, company retreats, etc)", • "People here like my bad jokes." At Antavo every person is a unique personality working towards the same goal, creating a thriving business. It’s very important for us that everybody has a place and a voice on projects and goals, no matter the race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, or basis of disability. We create and empower a diverse culture, as we know it encourages creativity and innovation. _ _

🚀 Technical Project Engineer – Sheffield 🚀 Full-time - Permanent Salary: £65,000 DOE We’re supporting a specialist manufacturer of recycling equipment who are looking to bring in a Technical Project Engineer to run end‑to‑end projects, from initial customer brief right through to installation and handover. 🔧 What you’ll be doing: • Managing full lifecycle engineering/manufacturing projects, • Acting as the main customer contact throughout delivery, • Coordinating internal teams across design, engineering, production and installation, • Creating and maintaining project plans, schedules and documentation, • Monitoring progress, managing risks and keeping projects on track, • Overseeing site activities and ensuring H&S compliance 👤 What we’re looking for: • Experience delivering technical or engineering projects, • Strong organisational and communication skills, • Ability to manage multiple projects at once, • Confident working with customers and internal teams, • Proactive, solutions‑focused mind set

Work with Us. Change the World. At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world’s most complex challenges and build legacies for future generations. There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world. We're one global team driven by our common purpose to deliver a better world. Join us. Our team has an established track record of successfully delivering major multidisciplinary rail projects working from our regional offices in London and Croydon and interfacing with other regional teams and Global design centres. We are now looking to enhance and grow this team with a Senior Electrical Design Engineer who shares our enthusiasm and determination, to support our expanding workload. You will have proven design experience in LV design and HV substation design and will have delivered rail projects to client’s satisfaction at the appropriate standard, ensuring accuracy of drawings and calculations, ensuring designs are economic, constructable and appropriate and that the relevant codes and standards to be complied with. You will have strong business development and client relationships skills and the ability to develop and manage the work of others. The team provides design, assessment, inspection, construction support and management services on a wide range of rail projects and our services offered to our clients include feasibility studies, outline designs and detailed designs. Our clients are from the private and public sector and include Network Rail, London Underground, TFL, Nexus, TfGM and SYPTE as well as various Tier 1 contractors. Our current portfolio of works comprises a diverse mix of local, national and international Rail infrastructure projects. Rail projects currently under production by staff in our offices include: • Bushey Power Supply Upgrade, • Beckton Depot Enhancement, • South Rail Systems Alliance The appropriate level of technical expertise is required in order that the Job/ Project Accountabilities listed below can be carried out to the necessary standards. Provide Expertise: Be responsible for the technical and commercial delivery of projects, with a specific remit to develop AECOM’s rail LV and substation capabilities within the Electrification and Power (E&P) team. You will be an individual who holds excellent track record of delivering various projects as a CRE/Lead Engineer role. Collaborate: Receive brief from Project Manager and cascade through team members. Ensure Quality: Develop concept and detailed designs including calculations reports and specifications. Check CAD drawings and design documentation produced by team members /liaise with designers and CAD Technicians. Prepare and check the technical reports. Anticipate: Support development of project specifications for construction. Attend site during construction phase if necessary to ensure construction is in accordance with specifications/drawings. You will have a very good understanding of Health and Safety including CDM. • BSc, BEng or MEng degree in Electrical Engineering, • Chartered Engineer (or working towards) and member of a professional institution Ideally you will be experienced in the use of Network Rail, London Underground, Railway Group Standards as well as the relevant British Standards and Eurocodes. We recognise a variety of experience and backgrounds may suit this role and that experience levels in specific technical areas may vary. If you feel you only meet some of the requirements below or have transferrable skills, we would still love to hear from you! We celebrate diversity, including neurodiversity, and believe it enriches our team. We welcome applications from all backgrounds and abilities. If you are an applicant with a disability that requires reasonable accommodation to complete the application process, please contact us at _ At AECOM, we value everyone's unique contributions and perspectives. If you meet some of the requirements above or have transferable skills you believe would benefit us, we would be delighted to hear from you About AECOM AECOM is the world’s trusted infrastructure consulting firm, delivering professional services throughout the project lifecycle – from advisory, planning, design and engineering to program and construction management. On projects spanning transportation, buildings, water, new energy and the environment, our public- and private-sector clients trust us to solve their most complex challenges. Our teams are driven by a common purpose to deliver a better world through our unrivaled technical and digital expertise, a culture of equity, diversity and inclusion, and a commitment to environmental, social and governance priorities. AECOM is a Fortune 500 firm and its Professional Services business had revenue of $14.4 billion in fiscal year 2023. See how we are delivering sustainable legacies for generations to come at aecom.com and @AECOM. Freedom to Grow in a World of Opportunity You will have the flexibility you need to do your best work with hybrid work options. Whether you’re working from an AECOM office, remote location or at a client site, you will be working in a dynamic environment where your integrity, entrepreneurial spirit and pioneering mindset are championed. You will help us foster a safe and respectful workplace, where we invite everyone to bring their whole selves to work using their unique talents, backgrounds and expertise to create transformational outcomes for our clients. AECOM provides a wide array of compensation, benefits and well-being programs to meet the diverse needs of our employees and their families. We’re the world’s trusted global infrastructure firm, and we’re in this together – your growth and success are ours too. Join us, and you’ll get all the benefits of being a part of a global, publicly traded firm – access to industry-leading technology and thinking and transformational work with big impact and work flexibility. As an Equal Opportunity Employer, we believe in each person’s potential, and we’ll help you reach yours. We are a Disability Confident Employer and will offer an interview to applicants who have a disability or long-term condition, who meet the minimum/essential criteria for the role. Please let us know using this email address _ if you would like to apply through the Disability Confident Interview Scheme. All your information will be kept confidential according to EEO guidelines.

Job Title: AI Engineer Location : Edinburgh UK Work mode : Hybrid Experience: 8 + Years Key Responsibilities: Design, develop, and deploy end-to-end AI/ML solutions from data ingestion to production. Build and optimize ML/DL models for NLP, computer vision, recommendation systems, and predictive analytics. Implement and maintain MLOps pipelines (CI/CD for ML) for scalable deployment and monitoring. Collaborate with cross-functional teams (data scientists, engineers, product managers) to define AI-driven solutions. Research and integrate Generative AI (LLMs, diffusion models, transformers) into real-world applications. Drive data strategy, including data collection, preprocessing, and feature engineering. Optimize models for performance, scalability, and cost-effectiveness in cloud/on-prem environments. Mentor junior engineers and contribute to best practices in AI development. Required Skills & Qualifications: Strong proficiency in Python and AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, Hugging Face). Hands-on experience with NLP (LLMs, transformers, embeddings, vector databases). Deep understanding of neural networks, reinforcement learning, and generative models. Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (MLflow, Kubeflow, Airflow, Docker, Kubernetes). Strong knowledge of SQL/NoSQL databases and data engineering practices. Soft Skills: Excellent problem-solving, communication, and leadership abilities.

We are delighted to be working with a major international manufacturing business, recruiting a Senior Digital Manufacturing Engineer to join them. As a Senior Digital Manufacturing Engineer, you will be responsible for delivering, managing and maintaining the core Digital Manufacturing systems, including PLM, CAD/CAM and MES. Additionally, supporting the integration and upkeep of auxiliary systems (tool management, simulation, 3D scanning, robotics) and acting as the primary OEM contact. What you’ll be doing • Leading digital integration across engineering, production planning and shop-floor execution using PLM, MES and auxiliary OT systems., • Delivering, managing and optimising the core OT platforms in line with the digital strategy and roadmap., • Developing efficient digital workflows and supporting creation of a robust digital thread across the product lifecycle., • Applying LEAN methodologies to reduce waste, improving flow and enhance factory performance., • Collaborating with Engineering, Operations, Quality and IT to drive adoption of digital tools and improve data continuity., • Providing digital work instructions, visualisations and manufacturing simulations to support operators., • Assessing and introducing Industry 4.0 technologies including machine connectivity, real-time analytics and process automation., • Providing user training and first-line support for digital manufacturing systems across the business. About You • In-depth knowledge and extensive experience managing PLM systems (e.g. Siemens Teamcenter, Windchill, or equivalent)., • Strong working experience with MES platforms (e.g., Siemens Opcenter, Apriso, or bespoke MES solutions)., • A good understanding of CAD/CAM software (e.g., Siemens NX, CATIA, Creo, Mastercam)., • An understanding of IT infrastructure., • Strong problem-solving skills and the ability to manage multiple priorities in a high-security, safety-critical environment., • Demonstrated application of LEAN manufacturing principles (e.g., 5S, VSM, Kaizen, standard work). The Working Pattern This is a full-time role working 37.5 hours per week, Monday – Friday. We offer flexibility in our start and finish times between 06:15 - 09:30 and 14:30 – 18:00. Please apply for immediate consideration.

About ALSO. We’re ALSO, an electric mobility company originally conceived as a part of Rivian. We’re a passionate team of builders, dreamers, doers and innovators, focused on creating entirely new (not to mention, innovative and delightful) vertically integrated, small EVs designed to meet the global mobility challenges of today and tomorrow. Our mission is to inspire everyone to ride ALSO—replacing many local car, truck and SUV miles with ones on vehicles that are more affordable, more enjoyable and 10-50x more efficient. ALSO is looking for a Staff Software Engineer, Emerging Markets - a hands-on Software Engineering Leader to own the end-to-end software architecture and development across the vehicle and connected ecosystem. You will remain deeply involved in software architecture, firmware design, system integration, and technical decision-making, while also coordinating development across a small internal team and several specialist external partners. The ideal candidate combines strong embedded systems expertise with the ability to drive complex multi-team software delivery, and is comfortable leveraging AI-assisted engineering tools to accelerate development and validation. What you will do: 1. Software Program Coordination Coordinate delivery of the software platform across internal teams and external development partners. Responsibilities include: Managing the software development roadmap Aligning software milestones with vehicle development programs Coordinating firmware, cloud, and application development Managing technical dependencies between teams Supporting system integration and release planning This aspect of the role ensures that multiple software workstreams converge into a production-ready system. 1. Software Architecture and Technical Ownership Own and define the overall software architecture for the platform, spanning vehicle firmware, connectivity, and cloud integration. Responsibilities include: Defining the end-to-end software architecture Designing key elements of the vehicle firmware stack Establishing software interfaces between vehicle systems, cloud services, and applications Reviewing and contributing to embedded and systems-level code Leading architectural decisions for scalability, reliability, and security Guiding development of critical firmware components You will remain hands-on with technical design and system integration, particularly for the vehicle control and connectivity layers. 1. Vehicle Embedded Systems Development Lead development of the vehicle embedded software stack, including: Vehicle Control Module (VCM) firmware Battery Management System (BMS) firmware Power management and energy optimisation Diagnostics and telemetry systems Sensor and actuator integration Vehicle networking (e.g. CAN) Work closely with hardware engineers to ensure tight hardware–software co-design. 1. Connected Vehicle and IoT Platform Define and implement the vehicle connectivity architecture, including: Secure vehicle-to-cloud communication Telemetry and diagnostics pipelines Remote vehicle monitoring and control Fleet and asset management integration Over-the-air software updates Charging ecosystem integration Ensure the connected platform is secure, scalable, and reliable. 1. Software Engineering Leadership Establish engineering standards across the platform including: Coding standards and best practices Development workflows Continuous integration and testing pipelines Simulation and validation environments Software quality and release processes Provide hands-on technical leadership and mentorship to engineers and partners. 1. External Partner and Supplier Integration Work closely with external engineering partners responsible for parts of the software stack. Responsibilities include: Defining technical interfaces and integration requirements Reviewing partner architecture and code deliverables Ensuring adherence to engineering standards and security practices Integrating externally developed modules into the platform Supporting joint debugging and system integration 1. AI-Augmented Engineering Drive adoption of AI-assisted software development tools across the engineering ecosystem. Use cases include: AI-assisted code generation Automated test creation Static analysis and validation Simulation-driven verification AI-assisted debugging and optimisation The objective is to maximize engineering productivity while maintaining high-quality production software. Key Deliverables of the role: Production-ready vehicle firmware and control systems Integrated BMS and power management software Secure connected vehicle architecture Reliable OTA update capability Integrated vehicle + cloud ecosystem Robust software development and validation pipeline Degree qualified with 5+ years in embedded software, vehicle systems, robotics, or connected devices Strong experience with embedded firmware development Experience designing complex hardware-integrated software systems Experience leading multi-disciplinary engineering programs Strong experience with: Embedded C/C++ Real-time embedded systems / RTOS CAN or vehicle network architectures Firmware–hardware integration Cloud-connected device platforms (AWS / Azure / GCP) System integration and debugging Electric vehicle platforms Battery Management Systems IoT connectivity platforms OTA update systems Cybersecurity for connected devices Mobile or user-facing applications Leadership Qualities Be deeply technical and comfortable contributing to architecture and code Balance hands-on engineering with delivery leadership Thrive in startup-scale engineering environments Build strong relationships with external engineering partners Drive rapid but disciplined product development Why ALSO. We’re passionate about helping the world find a better way to get there—wherever it is you’re headed. We’re located in the heart of Silicon Valley and have brought together a world-class team from some of the biggest brands in the technology, automotive, cycling, outdoor recreation and retail spaces. Together we’re working hands-on to imagine, design and build an entirely new solution to a global set of transportation challenges. Perks and Benefits Robust health coverage. Excellent health, dental and vision insurance covered up to 100% by ALSO with FSA & HSA options. One Medical membership and dedicated insurance advocates. Rich fertility and family building benefits with Progyny. Flexible time off. 401(k) match.

Attio is the CRM built for the AI era. Designed for the most ambitious go-to-market teams, it gives companies the power to understand every customer, automate at scale, and build their go-to-market motion exactly as they need. We've raised $116M from some of the world's best investors: GV (Google Ventures), Redpoint, Balderton, Point Nine, and 01A. We hire builders who thrive on complex technical challenges, hold themselves to a high bar, and genuinely care about delighting the people who use what they build. The team here brings sharp judgement, real craft, and the drive to do exceptional work. We're obsessed about the details and energized by the frontier. If you want to do the best work of your career, this is the right place. We are seeking highly skilled and experienced Platform Product Engineers to join our Security, Infrastructure and Performance team. This is a crucial, dual-faceted role that combines high-level engineering strategy with hands-on operational excellence. The successful candidates will be responsible for building, operating, and continuously enhancing the internal technology platform, fundamentally treating this platform as a product with all development teams as its primary customers. The Platform Product Engineer role is centered around embodying and executing DevOps principles, specifically focusing on: Automation: Systematically removing manual toil from the software development lifecycle (SDLC) through the creation of robust tooling, CI/CD pipelines, and infrastructure-as-code (IaC). Collaboration: Fostering a tight, cooperative partnership with product development teams, gathering requirements, and delivering solutions that accelerate their productivity and time-to-market. Continuous Improvement: Instilling a culture of iterative enhancement for the platform's reliability, cost-efficiency, and developer experience. This mandate is underpinned by a rigorous Site Reliability Engineering (SRE) mindset. The successful candidates will be instrumental in defining and upholding Service Level Objectives (SLOs) and Service Level Indicators (SLIs), implementing effective monitoring and alerting strategies, and leading operational incident response processes. The core responsibility is to implement, maintain, and continuously improve the foundational platform infrastructure that powers all engineering services. This necessitates a relentless focus on ensuring high reliability, exceptional scalability, and optimal performance across the entire stack. Platform Infrastructure: Build and maintain platform infrastructure using declarative IaC tools (e.g., Terraform, Pulumi), ensuring all environments are reproducible, version-controlled, and auditable. Proactively manage the capacity of the infrastructure to consistently meet or exceed Service Level Objectives for latency, error rates, and availability. Incident Response and Post-Mortems: Act as first-line responders for critical system incidents. Triage, diagnose, and resolve complex production issues rapidly. Drive a culture of blameless post-mortems, ensuring root causes are identified, and long-term preventative measures are implemented as code (e.g., via runbooks, automation, or system design changes). Tooling & Automation: Own the stack of supporting tools necessary for operational excellence and developer enablement, including: Continuous Integration and Continuous Delivery (CI/CD) Pipelines: Implement, maintain, and evolve the fully automated CI and CD pipelines. This includes establishing best practices for fast, reliable, and secure build, test, and deployment processes. Observability: Implement and manage robust systems for monitoring (metrics), logging (centralised log aggregation), and distributed tracing to provide deep insights into application and infrastructure health. Applied DevOps and SRE Principles: Must have : Demonstrable, hands-on experience applying core DevOps and Site Reliability Engineering (SRE) principles to manage, monitor, and scale production systems. Must have: A deep understanding of the SRE mindset, including SLO/SLA creation and monitoring, error budget management, toil reduction, and post-incident review (blameless postmortems). Desirable: Proven ability to drive cultural and process change that fosters a collaborative approach between development and operations teams. Cloud Infrastructure and Containerisation Expertise: Must have: Expertise in one or more major public cloud providers (AWS, GCP, or Azure), encompassing network configuration, security best practices (IAM, security groups, etc.), compute services (EC2, GKE, ECS, etc.), and managed services (databases, queues, serverless functions). Must have: In-depth knowledge of container technologies, specifically Docker, and extensive experience orchestrating them at scale using Kubernetes (K8s). This includes designing, deploying, and managing Kubernetes clusters, understanding networking (CNI), storage (CSI), and security configurations within the Kubernetes ecosystem. Automation and Programming Skills: Must have: Proficiency in one or more modern software languages (e.g., Typescript, Go, Python, Rust) and associated frameworks used for building high-performance, resilient production systems. Must have: Proven experience developing robust, maintainable, and well-tested automation scripts, services and pipelines to manage infrastructure, deployments, and operational tasks. Operational Tooling and Observability Management: Must have: Experience owning, managing, and maintaining mission-critical operational tooling. Desirable: Proven background in implementing and managing centralised logging solutions or similar platforms (e.g., Splunk, DataDog). Desirable: Familiarity with distributed tracing tools (e.g., Jaeger, Zipkin) and Application Performance Monitoring (APM) solutions. Competitive salary of £95,000 to £125,000 Equity in an early-stage tech company on an incredible trajectory 25 days holiday plus local public holidays Apple hardware Private medical insurance through AXA Pension contribution through Hargreaves Lansdown Enhanced family leave Team off-site in fun places! (We've been to Barcelona, Lisbon, Malta, and Split so far)

This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers. She will pick the best candidates from Jack's network The next step is to _. Job Title: Software Engineer Salary: £50-70K + Equity Company Description: Crumb - Legal AI and Marketplace Job Description: Join Crumb as our first dedicated engineering hire to build agentic AI tools and a marketplace for in-house legal teams. You will own the product end-to-end, from frontend to infrastructure, working directly with the technical lead. This is a founding-level role where you will ship features that automate complex legal workflows and eliminate manual processes. Location: London, UK Why this role is remarkable: Founding engineer position with total ownership over the product roadmap, technical architecture, and engineering culture from day one. Transition from a successful fractional General Counsel firm into a high-growth tech platform with a front-row seat to industry pain points. High-impact work building sophisticated agentic AI tools that solve real-world efficiency problems for legal teams at venture-backed companies. What you will do: Design and build end-to-end features using React, Node.js, and TypeScript, moving from user problem to production code without PM intervention. Develop and maintain complex multi-step workflows, background jobs, and webhook-driven integrations to automate manual legal tasks. Architect and secure our AWS cloud environment, ensuring the platform is scalable and resilient as we expand our user base. The ideal candidate: Proven experience shipping production software with React and Node.js/TypeScript, with a strong emphasis on owning systems end-to-end. Hands-on expertise with AWS infrastructure, production webhooks, and managing asynchronous background jobs or scheduled tasks. A true builder mentality with strong product intuition, comfortable using AI coding tools to accelerate development in an ambiguous, fast-paced environment. Who are Jack & Jill? Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support. And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate. Next steps Step 1. Visit _. Step 2. Click 'Talk to Jack'. Step 3. Talk to Jack so he can understand your experience and ambitions. Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role. Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction. Step 6. If not, Jack will find you excellent alternatives. All for free. We never post fake jobs This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network. Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description. We appreciate this can make them look a bit suspect, but there isn't much we can do about it. Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.

Job Title: Data Engineer Location: UK Job Type: Full-time Scrumconnect is a leading force in technology consultancy, proudly contributing to over 20% of the UK’s most significant citizen-facing public services. Our award-winning team has made a substantial impact, delivering more than 64 services in the past two years alone. This work has not only reached over 50 million citizens but also achieved considerable savings for the taxpayer, amounting to over £25 million. At Scrumconnect, we foster a community of talented consultants who thrive on collaboration, sharing knowledge, and continuous learning to address and solve complex challenges. Our mission is to combine advanced software engineering, human-focused design, and data-driven insights to deliver unparalleled service to our clients. We are looking to fill the position of Data Engineer to help develop and maintain data products. Data Engineering teams are responsible for the delivery and operational stability of the data products built and provide ongoing support for those products. Data Engineers work within, and contribute to, the overall data development lifecycle process as part of multi-functional Agile delivery teams focused on one or more products. Role: Design, build, and operate simple, repeatable ETL data pipelines within distributed processing environments and cloud platforms, as well as localized single-node processing environments. Develop and produce prototyped then productionized code that can be deployed across a range of ETL, data validation, and other data production processes. Develop understanding of the native tooling of one or more of: GCP, Azure, AWS. An intermediate or better level coding in one or more mainstream coding languages (i.e., Python, SQL, Java, Scala, and R), and critically review the code of other data engineers. Develop code for a range of data products including data matching, rule development, scans, operational outputs. Participate in development and maintenance of in-house code libraries. Undertake unit testing to support common code development. Review business requirements to ensure they are clear and robust, and transform requirements into reusable production-ready code and/or effective data models. Understand the key principles of database design and be able to resolve technical problems in databases, data processes, data products, and services as they occur. Initiate actions, monitor services, and identify trends to resolve problems. Apply correct techniques in normalizing data and building robust relational structures in database products. Undertake basic data analysis, for example, for data profiling, QA, or problem resolution. Support queries from end users on data quality issues affecting data production; communicate issues and blockers to develop solutions. Undertake source system analysis and data profiling to confirm data quality and ensure accurate metadata. Understand relevant data sources, tools, and systems. Work with experts to develop validation frameworks for both simple and complex data sources. Communicate with customers, for example, to update on progress or confirm requirements. Using a working knowledge of cloud data engineering tools in assisting with the development of data pipelines, products, and automation processes. Work with other team members in development of tool performance logging and monitoring. Work with other team members in applying engineering team and community best practice in data products and pipelines. Experience predicting and advising on technology changes in the engineering toolset(s) and platform(s) you work on. Work with the team in implementing the transition to modern data platforms including Data Warehouse, Lakehouse, across the data products, pipelines, and processes you are responsible for. Engage with other professional communities (Data Science, Architecture, etc.) to identify emerging and cross-community issues affecting your role and escalate as necessary. Describe technical, data, pipeline, and production issues to colleagues of different specialisms. Communicate within the team and across teams to monitor expectations around delivery of data engineering, products, and pipelines, blockers, priorities, and issues. Escalate issues and blockers in delivery proactively. Familiar with developing data pipelines and products for very large volume 'big data' series using a range of native engineering tools and practices and coding approaches. A working knowledge of engineering standards across a platform and native toolset. Experience implementing these standards in the day-to-day role and keeping outputs up-to-date with these. Typical Data Engineering Experience required (5+ yrs): Knowledge and experience of Azure/AWS Cloud data solution provision. Proficient in SQL. Ability to develop and deliver complex visualisation, reporting and dashboard solutions using tools like Power BI. Enterprise-scale experience with ETL tools (Informatica and or similar). Experience of data modelling and transforming raw data into datasets and extracts. Experience of working in a large project /scale complex organisation and knowledge of migrating legacy capabilities. Experience in Agile. Ability to analyse and collect information and evidence, identify problems and opportunities, and ensure recommendations fit with strategic business objectives. Experience of building team capability through role modelling, mentoring, and coaching. Ability to manage relationships with non-technical colleagues and can work in a collaborative, inclusive way. Ability to design, write, and operate ETL pipelines, in the context of distributed processing, applying coding, data, and documentation standards, in the language required by the business area. Understanding of the principles of data processing in a distributed and or cloud platform, and ability to use this understanding to ensure robust coding in a distributed or cloud environment. Able to write clean, efficient and well documented code for data processing tasks to a specification. Able to use Git for code version control to pull and push and review merge requests for team and own code. Ability to undertake simple data and code analysis for effective quality assurance and to resolve processing issues. Ability to undertake simple data and code analysis for effective quality assurance and to resolve processing issues. Experience of one or more programming/coding languages listed: Python/PySpark, SQL, Proc SQL, NoSQL, MySQL, SQLite, Spark SQL, Hive SQL, PostgreSQL, SAS, SAS E-guide, Scala, RegEx, Java, R Investigate problems in systems, processes and services, with an understanding of the level of a problem, for example, strategic, tactical or operational. Undertake data profiling and source system analysis for data evaluation, issue resolution or data standardisation. Use metadata repositories to complete complex tasks such as data and systems integration impact analysis. Good knowledge of database structures, practices, principles of database integrity etc. Basic knowledge of applying database principles and SQL coding across a range of platform database and data querying tools (i.e. SQL Server, Cloud SQL, Big Query, Hive, Athena etc.) Show an awareness of opportunities for innovation with new tools and uses of data. Experience in more than one of the following tools is required for Engineers engaging in BI development: Plotly, R Shiny, Tableau, QlikView/Qlik sense, Power BI, SAP, Business Objects, MicroStrategy Experience of several of the following tools: NiFi, Hbase, Bash, Assist, Putty, Neo4J, Spark , Kafka, HDFS, Oozie, Git Hub, Unix, Hadoop, Impala, DoJo, Flume, Elastic, Logstash, Kibana, Airflow, Glue, Big Query, Athena, CML, Hive, Informatica, CuteFTP Ability to explain and communicate technical concepts in non-technical language. Explain the types of communication that can be used with internal and external stakeholders, and their impact. Design, build and test data products based on feeds from multiple systems, using a range of different storage technologies, access methods or both. Able to explain and implement the concepts and principles of data modelling. Ability to create and run simple unit tests. Desired Qualifications Certifications in AWS, Azure, Databricks, or related technologies. Example _ Experience with public sector data initiatives and compliance requirements. Knowledge of machine learning and artificial intelligence concepts. Your working time at Scrumconnect will be split between multiple locations, including from our HQ and hub locations, client site or home. Travel requirements vary in frequency and take into account requirements of your work, our clients and the team. We welcome candidates from all identities, attributes and backgrounds to thrive with us. The diversity of our people should be reflected in the impact we deliver. Join us at Scrumconnect, where your highly demonstrable skills and expertise will drive the future of user-centred design in public services.

Equipment Maintenance Specialist – Night Shift Sheffield £50,000 - £58,500 including shift allowance A leading advanced manufacturing business is seeking an experienced Equipment Maintenance Specialist to join its night shift engineering team. This is a critical role focused on maximising equipment reliability, limiting downtime and ensuring high precision machinery and production assets are maintained to the highest standards. The Role You’ll be responsible for maintaining and repairing high-spec, high precision CNC machinery and associated production equipment in a fast-paced, precision-driven environment. Working closely with production and engineering teams, you’ll play a key role in minimising downtime and driving continuous improvement across the site. Key Responsibilities • Carry out planned preventative maintenance (PPM) and condition-based servicing on high precision CNC machines and ancillary equipment, • Diagnose and resolve electrical, mechanical, hydraulic and pneumatic faults, • Respond to breakdowns quickly to restore production capability, • Support installation, alignment, calibration and commissioning of new or modified high precision equipment, • Contribute to root cause analysis and implement corrective actions to prevent repeat issues, • Manage spare parts inventory, ensuring critical components are available when needed, • Collaborate cross-functionally to improve overall equipment reliability and performance What We’re Looking For • Multi-skilled maintenance experience with a strong electrical bias, • Proven fault-finding capability across mechanical, hydraulic and pneumatic systems, • Experience working with high precision machinery (e.g. CNC machining environments), • Ability to read and interpret engineering drawings, schematics and PLC/HMI documentation, • Strong communication skills and ability to work cross-functionally, • Comfortable using Microsoft Office tools Desirable Experience • Apprenticeship (Level 3 or equivalent) in Electrical, Mechanical or Electronic Engineering, • Ideally 5-7+ years’ experience in a maintenance role post-apprenticeship, • HNC/HND in Engineering, • PLC/HMI fault finding or programming experience, • IOSH Managing Safely, • Background in aerospace or regulated manufacturing environments (e.g. AS9100) Additional Information • Night shift role (UK-based), • Candidates must already have the right to work in the UK, • No visa sponsorship or relocation support available If you’re a hands-on maintenance engineer with experience supporting high precision machinery and looking to work with cutting-edge manufacturing technology in a highly regulated environment, this is a strong opportunity to step into a technically rewarding and stable role.

Data and AI Engineer - Remote Remote, with occasional travel to client sites Profectus Recruitment are proud to be partnered with a fast-growing and forward-thinking start-up that is harnessing the power of data and artificial intelligence to deliver transformational impact to business owners and investors alike. This is an exceptional opportunity to join a business that is already making waves across multiple industries, delivering cutting-edge AI-driven solutions tailored to real-world problems. Our client is on the lookout for a Data and AI Engineer who is not only technically excellent but also thrives in client-facing environments. This is a remote role with the flexibility to manage your own time, although you’ll occasionally travel to meet clients and deliver solutions face-to-face. You’ll work closely with the Director of Products to design and implement scalable, production-ready AI systems that directly shape strategic decision-making for clients. What we’re looking for: We are keen to hear from individuals who demonstrate a balance of technical strength, curiosity, and entrepreneurial spirit. This role would suit someone who wants to take ownership of their work, enjoys solving complex challenges, and can build strong relationships with clients. Key Attributes: • Excellent stakeholder management skills, with a proven ability to build trust and communicate clearly, • Confident presenting technical solutions to clients through demos and workshops, • Naturally curious and highly motivated to explore innovative problem-solving, • Demonstrates initiative and a proactive, ownership-driven mindset Technical Experience:, • Proven experience designing and maintaining secure, scalable applications using AWS, GCP, or Azure, • Skilled in Python and SQL, with a passion for turning data into insights, • Experience building and deploying CI/CD pipelines, • Solid background in data modelling and data transformation for analytics and AI, • Hands-on experience working with or applying Large Language Models (LLMs) to real-world use cases, • Collaborative, client-focused approach to delivering tailored technical solutions Qualifications & Experience:, • A degree (BSc or MSc) in Computer Science, Data Science, Engineering, or a related field, • Minimum of 2 years in a similar role with demonstrable project delivery experience Please note if you aren’t willing to travel semi-regularly within the UK to meet with clients and / or aren’t looking for this client facing aspect of the role then please do not apply.

We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact _. We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen. Our Defence team is focused on building and embedding human-centered AI solutions which give our nation a competitive edge in the defence sector. We collaborate with our clients to bring ethical, reliable and cutting-edge AI to high-stakes situations and maintain the balance of global powers essential to our liberty. Because of the nature of the work we do with our Defence clients, you will need to be eligible for UK Security Clearance (SC) and willing to work between 2 to 4 days per week on-site with these customers which may require travel to locations throughout the UK. When not required on client sites, you’ll have the flexibility to work from our London office or remotely from elsewhere within the UK. As a Senior Software Engineer in our Defence business unit, you will lead backend and edge/IoT engineering for critical work streams, implementing robust, scalable patterns. You’ll bridge the gap between machine learning research and production-grade software, raising the technical bar through hands-on contribution and peer mentoring. Working alongside Lead Engineers and Data Scientists, you will scope and deliver high-impact solutions that provide immediate value to our customers in a fast-paced, entrepreneurial environment. Designing and building robust backend and edge/IoT components for diverse client deliverables across multiple software domains. Scoping and executing bounded technical problems to ensure high-velocity delivery. Shipping production-ready code in Python and at least one compiled language such as Rust, C++, Go, C#, or Java. Implementing scalable CI/CD processes, containerisation with Docker, and deployments on Kubernetes or bare metal. Mentoring and pairing with fellow engineers to share best practices and empower the team to deliver their best work. Collaborating with Machine Learning and Data Science teams to operationalise agentic software and advanced AI tooling. You possess strong hands-on experience in application development and a solid understanding of modern system architecture and design. You have a proven track record of shipping code used by paying customers in both Python and a compiled language. You are highly skilled in DevOps practices, including GitLab CI/CD, Docker, and managing applications in production environments. You bring experience with agentic software development and a passion for understanding and solving complex customer problems. You thrive when acting as a key contributor within a squad, taking ownership of technical challenges and elevating the team's output. You communicate effectively with technical and commercial stakeholders, translating complex requirements into robust engineering solutions. Talent Team Screen (30 minutes) System Design Interview (90 minutes) Pair Programming Interview (90 minutes) Commercial & Leadership Interview (60 minutes) We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations. Some of our standout benefits: Unlimited Annual Leave Policy Private healthcare and dental Enhanced parental leave Family-Friendly Flexibility & Flexible working Sanctus Coaching Hybrid Working If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.

Grafana Labs is a remote-first, open-source powerhouse. There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps more than 3,000 companies -- including Bloomberg, JPMorgan Chase, and eBay -- manage their observability strategies with the Grafana LGTM Stack, which can be run fully managed with or self-managed with the , both featuring scalable metrics (), logs (), and traces (_). We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This role is available for candidates located in the UK, Germany, Spain, Ireland and Sweden. The Opportunity: Application Core Services (AppCore) is a group within Platform, in the Foundations department. Foundations produces the Internal Engineering Platform (IEP) and partners closely with our Cloud, Enterprise, and Grafana teams. Our team develops the essential systems driving Grafana's business operations. We utilize the grafana.com platform to engineer bespoke integrations and solutions that unify the diverse technical ecosystem of a modern software enterprise. The team owns important domain areas that help keep both our customer workflows and internal business processes running smoothly. AppCore is made up of multiple squads, each focused on one or more of these domains. Our work includes maintaining the billing engine responsible for customer usage calculation, automating provisioning after a customer signs a contract, integrating with cloud marketplaces such as AWS, Azure, and GCP, and building and maintaining the user portal our customers rely on to manage their accounts. This is a team working at the intersection of product, platform, and business operations. The systems we build are critical to how Grafana scales. We are looking for engineers who enjoy solving complex workflow and systems problems, improving reliability and developer experience, and building software that directly supports both customers and internal stakeholders. As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a unique perspective to the software. Engineers at Grafana also have the opportunity to contribute to Open Source communities and collaborate across teams beyond their immediate scope. What You’ll Be Doing: The AppCore Stacks squad owns the systems that create, configure, reconcile, migrate, and operate Grafana Cloud stacks at scale. A stack is the customer-facing Grafana Cloud environment that connects an organization to Grafana and the backend services it uses, including Mimir, Loki, Tempo, plugins, dashboards, data sources, and stack-level configuration. Our work sits at the intersection of product, platform, and operations. We build the control-plane services and workflows that keep stack state aligned across grafana.com, Stack State Service (SSS), Hosted Grafana, cloud regions, and the underlying Grafana Cloud infrastructure. When this domain works well, customers get reliable stack creation, safe configuration rollout, predictable migrations, and fewer manual operational interventions. • Design, build, and operate reconciliation systems, including the SSS backend, to track desired stack state, detect and repair drift across stack templates, grafana.com state, Hosted Grafana, and actual customer stack configuration, • Collaborate across SSS, grafana.com, and deployment configurations to ensure stack lifecycle workflows remain reliable, observable, and resilient, • Improve operational efficiency by reducing deployment complexity (e.g., aiming for single PR regional SSS deployment) and contributing to the Stack Config Reconciliation project, • Manage rollout mechanisms for provisioned plugins, dashboards, data sources, Grafana versions, release channels, and stack-level configuration, • Support new region and cluster rollouts, including the operational paths required to bring stacks online safely in new Grafana Cloud regions, • Improve incident response and recovery paths for stack misalignment, reconciliation failures, plugin rollout issues, and Hosted Grafana integration failures, • Partner with Product, Hosted Grafana, Infrastructure, Support, and adjacent AppCore squads on customer-impacting stack lifecycle work, • Contribute to roadmap planning, technical design, OnCall improvements, and long-term simplification of stack operations, • You will help own the production behavior of the systems you build. That includes improving runbooks, dashboards, alerts, reconciliation safety, rollout controls, and recovery procedures. You should be comfortable debugging across service boundaries and making careful changes in systems that affect customer stacks What Makes You a Great Fit: At Grafana, we actively embrace AI-assisted and agentic development practices, integrating these technologies into both our engineering workflows and the systems we deliver. We encourage our engineers to thoughtfully leverage AI tools to enhance every stage of the lifecycle, from design and implementation to testing, documentation, and operations. We also look for strategic opportunities to embed agentic capabilities within our services to eliminate toil, bolster reliability, and ensure that complex customer workflows remain resilient and safe. We are seeking a Backend Engineer who thrives on building production systems where correctness, scalability, and operational clarity are paramount. As a remote-first organization, you should be comfortable collaborating asynchronously across time zones and taking full ownership of the critical systems powering Grafana Cloud. Our team is small and operates with a high degree of independence; you will be expected to lead major projects, coordinate across service boundaries, and help define the technical direction for our domain. You will be particularly successful in this role if you enjoy solving challenges related to stateful systems, eventual consistency, and reconciliation loops. We value engineers who can take ambiguous lifecycle requirements and transform them into explicit, modular solutions. You should be adept at breaking down complex systems work into safe, iterative increments while clearly communicating technical tradeoffs to both internal stakeholders and adjacent product teams. Some things you might be expected to do could include: • Writing efficient, readable, and easy to maintain code, • Implementing new microservices or systems, • Collaborating with teammates and other departments to reach consensus on proposed solutions, • Coordinating with product and UX when needed, • Responding to customer requests and feedback, • When ready, participating in our follow-the-sun OnCall rotation, • Participating in team decisions, such as roadmap planning and prioritization Requirements: • You have at least 1 year of fully remote work experience, • You have some experience working on a SaaS platform and are familiar with common distributed systems concepts (e.g., scalability, multi-tenancy, HA)., • Have professional experience with Golang and be willing to work across both backend service and application code, • Care deeply about developer and user experience and the quality of the products that you work on, • Have some experience contributing to the delivery of projects, from initial brainstorming to shipping a product to the customer., • You write clean, well-tested software that other engineers can understand, operate, and maintain, • Can take on well-defined tasks, break them down, and execute iteratively to deliver working solutions and gather feedback., • You are willing to collaborate across teams and ensure your work is aligned with the needs of other squads and external stakeholders., • Familiarity with Kubernetes in AWS, GCP, or Azure, and exposure to infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.)., • Experience participating in blameless incident response and contributing to post-incident reviews. Bonus Points For: • Experience with TypeScript/Node.js, • Experience with Kubernetes control-plane patterns, operators, reconcilers, or desired-state systems, • Experience with Jsonnet/Tanka, Terraform, Flux, Argo, or similar deployment/configuration tooling, • Experience working on SaaS provisioning, tenancy, regional expansion, plugin rollout, or customer lifecycle systems, • Experience with incident response involving configuration drift, partial failure, or cross-service state mismatch Compensation & Rewards: In United Kingdom, the compensation range for this role is GBP 72K - GBP 90K. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we’re working hard to make sure that’s the foundation of our organization as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

Junior AI Engineer Our client is a rapidly growing tech-driven company based in central Manchester, leveraging artificial intelligence to build smarter, more efficient solutions across their digital platforms. With recent investment and a growing data team, they're looking to bring on a Junior AI Engineer to support the development and deployment of scalable AI applications. This is a fantastic opportunity for a recent graduate or early-career AI enthusiast to work in a collaborative environment with experienced engineers and data scientists. The successful candidate will assist in designing, training, and integrating machine learning models into real-world systems, contributing to projects that have immediate business impact. Key Responsibilities • Collaborate with senior engineers and data scientists to build ML/AI models., • Perform data wrangling, cleaning, and feature engineering on varied datasets., • Help deploy machine learning pipelines and support integration into production., • Evaluate model performance and suggest improvements., • Keep up with advancements in AI/ML to contribute fresh ideas to the team. Skills and Experience: • Degree in Computer Science, Artificial Intelligence, Data Science, or a related field., • Proficiency in Python and key libraries such as NumPy, Pandas, scikit-learn, TensorFlow or PyTorch., • Basic understanding of machine learning algorithms and model evaluation techniques., • Strong analytical and communication skills., • Comfortable working in a collaborative environment and taking feedback. Desirable: • MSc in a relevant discipline., • Exposure to NLP, computer vision, or recommendation systems., • Familiarity with cloud services (AWS, GCP, or Azure)., • Experience with Git and modern development practices., • Interest in deploying models into real-world applications. What’s on Offer • Competitive salary with room for growth., • Hybrid working model – 2 days a week in their modern Manchester office., • Mentorship and structured development plan., • Access to cutting-edge projects and tools., • 25 days annual leave plus bank holidays, pension scheme, and more. Interested? Please Click Apply Now! Junior AI Engineer

Senior Full-Stack Developer / Technical Lead — National Addressing & GIS Platform (D.A.S) Location: Djibouti (on-site, hybrid, or remote with strong EAT / GMT+3 overlap) Type: Full-time or long-term contract Project: Djibouti Address System (D.A.S) — national digital addressing, mapping & postal logistics platform Reports to: Project owner / D.A.S program lead About the project We are building the Djibouti Address System (D.A.S) — the official national platform that will create, register, verify, and manage proper addresses for every property, business, street, and area in Djibouti. Once live, D.A.S will be the country's official address database and operational backbone, used by La Poste Djibouti, government departments, emergency services, delivery companies, businesses, and citizens. It covers address registration, GPS/field data collection, geocoding and postal zones, parcel sorting and delivery routing, proof of delivery, and address verification at a national scale. This is foundational national infrastructure — the kind of system a country builds once. We are starting with a serious MVP and expanding from there, and we want a technical leader who can own the architecture from day one. The role As Senior Full-Stack Developer / Technical Lead, you will architect the platform, set the technical direction, and lead delivery of the MVP. You will personally build core backend services, the geospatial data layer, the APIs, and the admin dashboard — and define the standards the rest of the team works to. You will be hands-on. This is a build-it role first, lead-it role second. What you'll own • Design the overall system architecture across web, mobile, GIS, and database layers., • Build the backend, database schema, and secure REST/GraphQL APIs that power the public website, field-staff mobile app, admin dashboard, and La Poste operations platform., • Design and implement the geospatial data model (addresses, properties, GPS coordinates, postal zones, boundaries) using PostgreSQL + PostGIS., • Build the admin dashboard for task assignment, data approval/rejection, staff monitoring, address management, and reporting., • Define and enforce role-based access control (RBAC), audit logging, and secure handling of government-level national data., • Design APIs that support offline-first mobile data collection and later sync, so field staff can work in low-connectivity areas., • Set engineering standards (code review, branching, testing, CI/CD) and mentor/coordinate other developers (GIS, mobile, frontend, DevOps)., • Make pragmatic technology decisions and document architecture clearly for both technical and non-technical stakeholders.Required skills & experience We're looking for a proven senior engineer who has shipped real, production systems — not just prototypes. Experience (years) • 7+ years professional software development., • 5+ years building full-stack web applications in production., • 3+ years designing and working with relational databases (schema design, query optimization, migrations) — ideally PostgreSQL., • 2+ years in a technical lead, architect, or senior ownership role (leading delivery, setting architecture, mentoring others)., • At least one end-to-end platform you architected and shipped to production (multiple modules, real users). Core technical skills (must-have) • Backend: Node.js with NestJS (or strong equivalent such as Express) or Laravel (PHP). You should be fluent in at least one of these stacks and comfortable owning the backend end to end., • Frontend: React and/or Next.js — able to build clean, professional dashboards and interfaces., • Database: PostgreSQL — advanced schema design, indexing, transactions, performance tuning., • APIs: Designing secure, well-documented REST and/or GraphQL APIs for web and mobile clients., • Authentication & security: RBAC, JWT/OAuth, audit logging, encryption at rest and in transit, secure data handling, and an understanding of building for sensitive/government-grade data., • Architecture: Designing scalable, maintainable systems; clear separation of concerns; documenting decisions., • Version control & collaboration: Git, code review, structured branching, and team workflows. Strongly preferred (a major plus) • Geospatial / GIS: Hands-on PostGIS experience, and familiarity with maps and geocoding using OpenStreetMap, Mapbox, Google Maps API, or similar. Experience with coordinates, boundaries, postal zones, or routing is highly valued., • Mobile integration: Experience building backends that support Flutter or React Native apps, including offline-first data collection and sync (conflict handling, queued uploads, photo + GPS capture)., • Cloud & deployment: AWS, Azure, or Google Cloud — or experience with secure local/on-prem hosting (relevant for government data-residency requirements)., • CI/CD, containerization (Docker), and basic DevOps to get the MVP deployed reliably. Bonus / nice-to-have • Experience with logistics, postal, delivery, address, or mapping systems., • Experience delivering government or public-sector software, or systems handling national/sensitive data., • French and/or Arabic language ability (working language with La Poste and government stakeholders; English is fine for the core technical work). What we are NOT looking for To save everyone time: this is a web, mobile, GIS, logistics, and data-infrastructure project. It is not automotive, embedded systems, telecom/RF, or hardware. Please don't apply on the basis of those backgrounds alone. Who you are • A pragmatic builder who ships, not just plans., • Comfortable being the most senior engineer in the room and setting the direction., • Clear communicator who can explain technical trade-offs to non-technical decision-makers., • Self-directed, reliable, and able to take ownership across an ambiguous, early-stage project., • Genuinely interested in building meaningful national infrastructure with real public impact. Why this role • National impact: You'll be the technical architect of Djibouti's official address system — used by the post office, government, emergency services, and millions of everyday interactions., • Ownership: You shape the architecture and standards from the ground up., • Growth: Start by leading the MVP, then grow the team and platform around you. How to apply Send the following to hello.das@hotmail.com: • A short note on why this project interests you., • Your CV / LinkedIn., • Links to 2–3 relevant projects you architected or led — ideally involving databases, dashboards, APIs, GIS, or mobile-backed platforms (GitHub, live demos, or case studies)., • Your availability (full-time or contract), rate/salary expectation, and time zone. Applications that include relevant GIS, geospatial, or logistics-platform experience will be prioritized.

Job Title: Senior Staff Digital IC Design Engineer Location: United Kingdom Job Type: Permanent on site Salary: 65K – 95K GBP Role Overview: • Have in depth knowledge and understanding of best-practice digital design methods., • Be an expert at executing designs via a fully synthesised digital design flow with RTL and logic synthesis., • Be fully conversant with the SystemVerilog standard and digital EDA tools., • Be familiar with the use of constraints and the automatic place-and-route flow for the physical design., • Understand the importance of production test and have experience of design methods to maximize digital test coverage such as scan., • Have experience of design techniques for optimising digital power consumption., • Have experience of debugging digital functions in a lab using suitable test equipment (e.g. mixed-signal oscilloscopes)., • Have experience with scripting languages such as TCL/Python., • Have experience producing accurate and complete documentation. Key Responsibilities: • Development of functional digital blocks and contribution to complete mixed signal ASICs from definition to full production maturity., • Support the Product Definition team with feasibility study, product architecture definition and digital blocks design for FPGA emulation., • Complete RTL design in SystemVerilog of digital functions to meet all system requirements., • Create suitable block-level test benches for comprehensive verification of all digital blocks., • Create suitable behavioural models and top-level test benches for comprehensive verification and regression of all system-level functions and production test functions., • Complete digital synthesis with suitable physical constraints to meet all PPA requirements., • Define and implement DFT architecture. Perform scan insertion, ATPG and insert test points to achieve the required test coverage., • Oversee digital place-and-route, and ensure post-layout timing closure., • Generate all necessary design documentation and participate in design reviews., • Lead and oversee other team members to achieve the above., • Take a lead in digital design methodology improvements within the company Experience Required: • MSc/MEng or PhD in Electronics Engineering or related subject., • Minimum 8 years’ experience in digital IC design using standard cell libraries. If you would like to learn more about this opportunity, please contact me via Jessica@microtech-global.com or call me on +44 1628 206217.

Role Summary: The Cribl Engineer is responsible for designing, deploying, and operating telemetry data pipelines using Cribl Stream in a cloud-centric environment. This role focuses on enabling reliable, scalable, and cost-efficient log ingestion and routing across SIEM and observability platforms, supporting detection engineering, audit, and operational excellence objectives. Key Responsibilities: • Design, build, and maintain Cribl Stream pipelines (routes, parsing, filtering, transformation)., • Manage log ingestion and routing to downstream platforms (e.g., Google SecOps, Splunk, or other SIEMs)., • Optimize pipelines for performance, cost efficiency, and reliability., • Troubleshoot and resolve data flow, ingestion, and pipeline issues in production., • Implement automation using infrastructure-as-code (Terraform, CloudFormation) and CI/CD pipelines., • Operate within AWS and/or multi-cloud environments, supporting scalable telemetry processing., • Integrate Cribl with cloud-native services and enterprise systems., • Collaborate with Detection Engineers, DREs, and platform teams to ensure data availability aligns with detection and compliance use cases., • Monitor pipeline health and ensure adherence to operational SLAs and reliability standards., • Apply security and compliance best practices for log handling and transmission., • Experience supporting large-scale migrations highly desired (e.g., SIEM or log pipeline transformations) Required Qualifications: • Hands-on experience with Cribl Stream (pipelines, routes, packs, edge/workers)., • Experience with log management / observability / telemetry pipelines., • Strong knowledge of log formats and parsing (e.g., JSON, syslog, regex)., • Experience with cloud platforms (AWS preferred; Azure/GCP acceptable)., • Solid understanding of Linux/Unix environments., • Scripting experience (e.g., Python, Bash)., • Experience troubleshooting data ingestion and pipeline performance issues. Preferred Qualifications: • Experience with SIEM platforms (Google SecOps/Chronicle, Splunk, Elastic)., • Familiarity with containerization/orchestration (Docker, Kubernetes)., • Experience with infrastructure-as-code and deployment automation., • Exposure to high-volume telemetry environments and cost optimization strategies., • Understanding of security telemetry, detection engineering, or SOC workflows. Key Outcomes / Measures of Success: • Reliable and consistent log ingestion with minimal data loss., • Improved pipeline performance and reduced ingestion cost., • Timely resolution of data flow and onboarding issues., • Scalable and maintainable cloud-based telemetry architecture., • Alignment of telemetry pipelines to detection, audit, and compliance requirements. Working Model: • Operates as part of a globally distributed engineering team (US, India, LATAM)., • Participates in onboarding, migration, and optimization initiatives (e.g., Cribl upgrades, Cloud migrations)., • Works within defined operational rhythms, ticketing (ServiceNow/Jira), and engineering standards. We’re grateful for your interest in joining us. Kindly note that only applicants whose experience and qualifications most closely align with the role will be contacted for the next steps. Thank you for your understanding!

Background: Agilio Software Group is a leading UK healthcare operations software provider, delivering integrated, mission critical solutions that support primary care, dental, pharmacy, hospital, and veterinary organisations. We have ambitious and exciting growth plans and are looking for talented individuals to be part of our journey. iLearn is our learning and compliance platform, supporting healthcare organisations to meet regulatory requirements, maintain workforce competence, and deliver high quality patient care. The role: As a Lead Software Engineer, you will drive technical direction and product delivery for the iLearn platform - coming in with energy, opinions, and the ability to move fast. You'll lead a cross-functional engineering team, shape our AI strategy, and work closely with Product to define what we build next. You'll combine hands-on technical expertise with people leadership, designing and building scalable, secure, cloud-based solutions that directly support our business objectives. AI is a central theme for us right now. You'll play a leading role in identifying, shaping, and delivering AI-powered features within iLearn, and using AI tooling to accelerate how the team builds and ships software day to day - all working closely with Product to turn emerging capabilities into real user value. Key Responsibilities: • Lead a cross-functional engineering team delivering features and improvements for iLearn - driving pace, quality, and technical direction from design through to deployment and support., • Provide line management and pastoral care for a small team of software engineers, supporting performance, wellbeing, and professional development., • Take technical ownership of the design, development, and maintenance of full stack applications and services underpinning iLearn., • Partner closely with Product to shape the roadmap - contributing technical insight early, challenging assumptions, and ensuring AI and engineering capabilities inform what gets built., • Lead the evaluation, prototyping, and responsible integration of AI and machine learning capabilities into iLearn, including LLM-based features, intelligent automation, and data-driven tooling., • Contribute to planning, estimation, scheduling, and resourcing, helping to deliver work predictably and efficiently., • Communicate technical designs, risks, and progress clearly to senior stakeholders and non technical audiences., • Apply a deep understanding of modern software design patterns and engineering best practices, ensuring solutions are scalable, maintainable, and fit for purpose., • Champion and implement automated testing across functional, acceptance, performance, and security domains to ensure quality is built in from the outset., • Work closely with platform, product, and operations teams to ensure systems are observable, resilient, operationally sound, and secure., • Design and develop cloud deployable services, continuously improving application architecture and infrastructure where appropriate., • Act as a technical authority, leading design discussions, reviewing and approving code, and diagnosing and resolving complex issues., • Build, maintain, and improve CI/CD pipelines to support reliable, automated deployment of products and services., • Promote a strong engineering culture, encouraging best practice, collaboration, and continuous improvement across the team., • Share knowledge and emerging technical insights - particularly around AI developments - with the wider engineering community and mentor junior engineers to support their growth., • Support the growth of the team by participating in recruitment and onboarding of new engineers., • Maintain clear and appropriate technical documentation to support long term maintainability and knowledge sharing. Essential • Minimum of 5 years’ experience in software engineering, • Strong experience as a Senior or Lead Full Stack Software Engineer, • Proven experience leading engineers and delivering software end to end, • A track record of driving delivery with urgency — not just maintaining, but pushing teams and products forward, • Demonstrable experience working closely with Product — influencing roadmap, shaping requirements, and bridging technical and commercial priorities, • Hands-on experience with AI/ML integration — whether LLM APIs, prompt engineering, RAG architectures, or embedding AI tooling into production software, • Deep understanding of modern software design patterns and best practices, • Hands on experience with cloud based architectures and services, • Strong knowledge of CI/CD pipelines and automated deployments, • Experience building scalable, resilient, secure, and observable systems, • Commitment to code quality, maintainability, and testing, • Confident code reviewer and technical decision maker, • Ability to mentor engineers and support their development, • Strong communication skills with technical and non technical stakeholders Agilio operates in regulated, mission critical healthcare environments. You’ll need: • The ability to translate complex business domains into technical solutions, • Awareness of security, resilience, and operational risk, • A mindset focused on reliability and quality, not just feature delivery, • An understanding of how to deploy AI responsibly in regulated, patient-facing contexts Additional Information Job type: The role is remote with occasional travel to one of our offices on an ad-hoc basis. Salary: Competitive + generous benefits Income Protection Life Assurance Enhanced pension Health Cash plan 28 days annual leave + bank holidays Sick pay scheme A range of flexible benefits available through our Agilio Flex portal If you feel you have what it takes to join our team, we look forward to receiving your application!

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

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

Opportunity This is an opportunity to join IRIS Software Group as we transform into an AI-first company delivering cloud-native solutions that impact millions of lives globally. IRIS produces an integrated suite of mission-critical software applications spanning accountancy, HR, payroll, education, and business operations. You will be working as part of an Agile team to deliver innovative solutions to user stories and requirements, contributing to our modernisation journey that serves over 100,000 customers across 135 countries. The role is challenging and dynamic, with key deadlines to be met as we accelerate our cloud transformation and implement next-generation technologies. You’ll need to embrace continuous learning and bring a focused attitude to tasks that directly enable businesses, schools, and organisations to work smarter and more efficiently. You will be involved in a variety of cutting-edge technical solutions, ranging from the latest .NET technologies using C# to various Front End Web JS Frameworks, all while contributing to our AI-powered platform evolution. You will be supported in your career growth by a highly experienced team, comprehensive learning opportunities, and a vibrant technical community committed to creating exceptional solutions that make a real difference in how our customers operate and succeed. Role Purpose As a Senior Software Engineer, you will be a technical leader within your team, responsible for delivering complex full-stack web applications, serving millions of users, driving technical excellence, and mentoring other engineers. You'll be expected to bring commercial awareness to every technical decision, understanding that the best solution is the one that delivers value to customers and the business, not just the most elegant one. You will work hands-on with cutting-edge UI frameworks, .NET Core backends, and cloud-native technologies while contributing to architectural decisions and ensuring high-quality software delivery across containerised, scalable web products. Key Responsibilities Technical Delivery • Design and deliver complex, scalable systems (multi-service integrations, high-traffic APIs, data processing pipelines) that anticipate edge cases, scalability issues, and long-term maintainability, • Own large features or entire components across their complete lifecycle from conception to production support, • Make commercially aware technical decisions by weighing engineering trade-offs in the context of business commitments, delivery timelines, and customer impact, not just technical purity, • Lead technical discussions and influence architecture decisions within team systems and components, with authority over component-level technical choices and escalation path to Engineering Lead for cross-team impacts, • Drive technical excellence by establishing architectural patterns, standards, and best practices that others can follow, • Ensure knowledge transfer and documentation for owned systems to enable team continuity Collaboration & Communication • Lead with AI-first practices by actively drive AI-led ways of working within the team, using tools such as Cursor, Copilot, and Claude Code as a core part of how you design, build, and ship, while bringing others along on that journey, • Lead story refinement sessions with Product Owners, providing technical expertise for estimation and risk assessment, • Partner with cross-functional teams (product, design, QA) to deliver comprehensive solutions that meet business objectives, • Influence technology choices based on deep technical understanding and business context, • Lead team Agile ceremony facilitation to drive continuous process improvements, and establish team practices that enhance delivery predictability, • Proactively identify and inspire resolution of technical debt and system improvements Quality & Standards • Champion comprehensive quality practices including TDD/BDD standards, automated testing strategies, and shift-left testing, • Lead security implementation across complex features establish security practices and conduct comprehensive security reviews, • Establish development tooling and practices used consistently within the team, • Lead troubleshooting efforts for complex software issues and production incidents, • Establish documentation standards for complex team systems and drive knowledge transfer practices across team deliverables Growth & Development • Mentor junior and mid-level engineers actively to raise team capability and technical standards, • Lead team code review standards establishment conduct complex feature reviews, and drive quality improvements across team deliverables, • Drive continuous improvement and champion responsible AI adoption with team governance practices Required Experience & Skills Technical Skills • Frontend Development: Strong proficiency with modern UI frameworks (e.g. Angular, React, Vue.js, Blazor) including performance optimisation and component architecture OR working knowledge with focus on backend specialisation, • Backend Development: Strong proficiency with .NET Core, C#, ASP.NET Core Web APIs, REST, application architectures, and distributed systems, • Database Systems and Data Architecture: Strong knowledge of SQL, NoSQL and data architecture decisions., • AI-Assisted Software Engineering: Actively engaged in AI-first ways of working by showing a genuine shift in how you approach design, development, and problem-solving with AI as a core part of the workflow, not just a productivity add-on., • Experienced integrating AI tools (Cursor, Copilot, Devin, Claude Code, etc.) into engineering practices to accelerate design, development, testing and debugging, using them critically and responsibly to improve quality, productivity and decision-making., • Observability: Advanced DataDog, Application Insights or Amazon CloudWatch implementation with performance tuning and cost optimisation, • Infrastructure as Code: Infrastructure as Code with either Terraform, Bicep, ARM Templates or AWS CloudFormation/CDK, • CI/CD Design: Design comprehensive CI/CD architectures for team deliverables, establish deployment strategies, and optimise pipeline performance for team efficiency, • Cloud Architecture: Strong proficiency in SaaS using Azure (Functions, Queue, Blob Storage, VMs, etc) or AWS (Lambda, SQS/SNS, EC2, etc.) services, infrastructure design, and performance tuning, • Container Orchestration: Strong containerisation (e.g. Docker) or Kubernetes (AKS/EKS) experience with production-scale deployments, • Architecture Expertise: Expertise in clean architecture principles, SOLID design patterns, and domain-driven design, • Quality & Testing: Drive TDD/BDD adoption in team testing strategy and quality governance, and implement comprehensive automated testing with continuous improvement, • Scalable Solutions: Experience with highly scalable solutions and internet-facing traffic levels, • Performance & Scalability: Profiling and benchmarking applications., • Application Security: Confident vulnerability management, thread modelling and tracking, • Production Support: Knowledge of observability and production support practices. Proficient in debugging complex issues, performance optimization, and production troubleshooting Experience Requirements • 5-7 years of professional software development experience, • Proven ability in delivering complex, multi-system solutions, • Experience working with highly scalable, internet-facing solutions serving millions of users, • Demonstrated technical leadership through architecture decisions, technical mentoring, and cross-team collaboration, • Track record of driving technical excellence, establishing standards, and influencing technology choices, • Active mentoring experience with junior and mid-level engineers, • Experience leading technical initiatives that span multiple sprints or quarters Soft Skills • Commercially aware and outcome-oriented — understands that engineering decisions exist within a business context, and prioritises delivery and customer value over technical perfection, • Demonstrates resilience and adaptability in the face of changing priorities or commercial commitments — able to pivot without losing quality or motivation, • Strong analysis and problem-solving skills for troubleshooting technical issues, • Excellent verbal and written communication skills with ability to explain technical concepts to non-technical stakeholders, • Technical leadership and influencing skills without formal authority, • Ability to utilise technical skills to develop and coach others through mentoring and knowledge sharing, • Collaborative approach and ability to work as part of wider Engineering, Platform and Quality teams, • Conflict resolution skills for technical disagreements and cross-team coordination, • Genuinely curious and AI-forward by continuously evolving how you work, with AI tooling as a natural part of your day-to-day, not an afterthought Desirable Skills • Experience working with regulated or complex domains (finance, health, govtech) with audit requirements, • Experience designing high-quality AI interactions through effective prompt engineering, efficient token usage, and optimisation techniques, combined with practical use of the Model Context Protocol (MCP) to integrate AI systems with tools and services for richer, automated workflows, • Expertise with advanced monitoring and APM strategies using Datadog, including custom dashboards and alerting (or similar observability platform), • Expertise with modern UI architecture patterns (micro-frontends, SSR/SSG), • Knowledge of security best practices and compliance requirements (OAuth2, OIDC, RBAC), • Experience with event-driven architectures, • Exposure to DevOps processes and automation ensuring end-to-end responsibility of features, • Advanced cloud certifications in Azure or AWS