19 jobs found

About us Stacuity is an innovative, ambitious, and rapidly growing company that provides cutting edge SaaS platforms to Mobile Network Operators (MNOs), MVNOs, IoT Service Providers, Enterprise Connectivity Providers, and related industries. We have developed our own mobile core network and supporting platforms from the ground up, using a modern, state of the art architecture. Our globally distributed platform enables customers worldwide to manage and secure mobile connectivity for Enterprise and IoT markets. Privately owned and headquartered in the Isle of Man, with a UK office, Stacuity was founded by industry veterans with a proven track record in business growth. To support our ongoing growth, we are expanding our integration and platform capability - offering a unique opportunity to join an exceptional, trusted, and valued team. Summary of this job As IP Network Engineer at Stacuity, you will be hands on with the global IP network that carries traffic between our mobile core, our edge sites, and our customers and partners worldwide - and with the networks within each site. This is a role for someone who genuinely enjoys building, configuring, troubleshooting, and keeping a global, ultra high availability network running cleanly day to day. You will work closely with our architecture function - contributing to network designs as well as implementing and maintaining them - and be one of the people we rely on when something needs investigating or fixing quickly. You will also pick up adjacent systems work as needed - this isn't a narrowly defined role, and we value people who are comfortable stepping slightly outside pure networking when it helps get the job done. You will work across our global footprint of edge sites, data centres, and interconnects, with day to day responsibility for routing, switching, and firewall configuration, and a hand in how our network integrates with cloud and core platform infrastructure. Key responsibilities - what you will do: Build, configuration, and maintenance Build, configure, and maintain Stacuity's global network across routing, switching, and firewall infrastructure, working closely with our architecture function and contributing to network designs as well as implementing them. Carry out day to day operational tasks across our WAN, LAN, and Internet edge, including routing changes, firewall rule changes, and segmentation updates. Apply and follow network standards covering routing, IP addressing, DNS, NAT, and firewall zoning, flagging gaps or improvements where you spot them. Support the lifecycle management of network hardware and software, including patching, firmware updates, and end of life replacement. Troubleshooting and incident response Act as a frontline responder for network incidents, carrying out initial investigation, troubleshooting, and remediation under time pressure. Diagnose and resolve issues across routing, switching, firewalls, and connected systems, escalating to the architecture team where a design change is needed. Monitor network health and performance, using observability tooling to spot issues before they become outages. Contribute to root cause analysis and write up clear, accurate incident notes to support post incident review. Wider systems and collaboration Pick up adjacent systems work as needed, such as server management, hypervisor and virtualisation tasks, and general Linux administration. Work closely with the architecture, platform, and security teams, feeding back practical, on the ground experience into future designs and standards. Support our ISO 27001 information security programme by following and helping maintain the network controls that fall within Annex A. Keep clear, accurate documentation of network configuration, changes, and known issues for the rest of the team to rely on. Working pattern This role is primarily office hours based in our Isle of Man office, with remote working possible by agreement. Given the global nature of our network and customer base, some flexibility outside of core hours may occasionally be required to support deployments, change windows, or major incidents. This role will be included in a compensated on call rota. Some travel to data centres, edge sites, and partner locations should be expected from time to time. What you will bring: Your Qualifications Minimum CCNA level (or equivalent) across major enterprise networking vendors - Essential Degree (or equivalent) in Computer Science, Network Engineering, or a related discipline - Desirable (or demonstrable practical experience) CCNP level (or equivalent) - Desirable (or working towards it) Excellent written and spoken English - Essential Your Experience and Skills Strong, practical understanding of high availability and failover principles at both Layer 2 and Layer 3, gained through hands on work on ISP or enterprise routing, switching, and firewalls. Deep, practical expertise in IP routing at scale, including BGP (iBGP and eBGP) and IS IS, along with hands on experience managing external peering and transit relationships. Solid experience with tunnelling technologies such as GRE and VXLAN, and Layer 2 networking including HSRP/VRRP/VARP, VLANs and trunking, STP, and ARP/NDP. Working knowledge of VPN technologies and IPsec, and a security conscious approach to network design including ACLs and IDS/IDP. Hands on firewall configuration and management experience, including with virtualised firewalls such as pfSense, and exposure to next generation firewall platforms such as Palo Alto, Fortinet, or Checkpoint. Hands on configuration and troubleshooting experience across major networking vendors, with particular depth in Cisco ASR platforms (IOS XE) and Cisco Nexus platforms (NX OS); broader exposure to Juniper, HP, and Arista is also valued. Experience with SD WAN and interconnection fabrics, such as Equinix Fabric, Console Connect, or similar platforms. Comfortable working with hypervisors and virtualisation, particularly Proxmox, along with SR IOV and virtual functions (VFs). Confident HPE server management, and solid Linux administration skills (Ubuntu); familiarity with FreeBSD is an advantage. A flexible, willing approach to general systems work beyond pure networking, such as basic server builds, storage, or scripting, when it helps get a job done. Experience with monitoring and observability tooling, such as Prometheus and Grafana, to support proactive network health and performance management. Comfortable producing clear, accurate technical documentation, such as configuration records, runbooks, and change notes, for day to day operational use. Strong problem investigation, troubleshooting, and resolution skills, able to work through technical issues methodically, including under pressure during live incidents. Ability to communicate technical issues and progress clearly to colleagues and, where needed, to non technical stakeholders. Exposure to cloud networking, such as AWS, Microsoft Azure, or hybrid cloud environments (desirable). Awareness of mobile core and mobile network concepts is an advantage, but not a prerequisite - we will support you in building this context. Your Behaviours Hands on, craft focused mindset - genuinely enjoys getting into the detail of routing, switching, and firewall configuration, and takes pride in doing it properly - Essential Strong analytical thinking - approaches problems logically and is comfortable working through ambiguity - Essential Clear communicator - able to explain a technical issue or a piece of work clearly to colleagues, and to non technical people when needed - Essential Collaborative by nature - works well alongside other engineers and the architecture and platform teams, and is comfortable asking for help or input - Essential Ownership mentality - takes responsibility for the tasks and incidents in front of them and follows through to a proper resolution, including being there when things go wrong - Essential Curious and proactive - interested in how platforms and systems work end to end, and always looking to improve - Essential Continuous improvement mindset - consistently looks for ways to make the network more resilient, more efficient, and easier to operate - Essential Values aligned with Stacuity's culture - ambitious, innovative, dependable, and supportive - Essential Other Able to work flexible hours when required to meet the needs of the role - Essential Willing to undertake a DBS check - Essential Right to work in the Isle of Man or UK (visa sponsorship may be considered for exceptional candidates) - Essential IOM Worker - Desirable

Let's transform society together We are Sweco. We are Europe's leading design, engineering, environment and regulatory consultancy. We are future planners, city shapers, urban innovators, digital transformers, net zero chasers, community connectors, social enterprisers and lifestyle improvers. We are . And we are now seeking applicants for the November 2026 cohort of our Early Careers Graduate Scheme. Uniquely, we recruit to role - and right now we're looking for Graduate Engineer (Development Infrastructure) to join our Infrastructure and Environment division in Ipswich. We'd like to hear from graduates that share our ethos and values and are driven to truly transform the world around them. What does the role involve? Working within a team environment you will be supporting development teams by assisting with the provision of a multi-disciplinary consultancy service for Sweco's developer clients. You will be working on Civil Infrastructure engineering projects including development schemes (designing highways, SuDS, levels, earthworks, etc), land regeneration and remediation engineering (ground models, geotechnical and geology etc.) and assisting the wider engineering team. The projects our teams work on span many exciting sectors, including Energy, Logistics and Data storage. You will be expected to: Work in a supervised environment on site and in the office ensuring that the technical content of work is acceptable and prepared in agreed timescales. Work in a team environment to deliver projects, reporting to the appropriate team leader or project manager. Be capable of working on your own initiative, with appropriate supervision. Work in close collaboration with teams in other disciplines. Understand and comply with the Company Integrated Management Systems (IMS) and take cognisance of current Health & Safety legislation. Who are we looking for? Our unique, personalised programme is designed for passionate, forward-thinking graduates who want to change the world around them. They'll thrive in a dynamic team environment and have an appetite to collaborate not only with fellow graduates, but also with mentors and leaders across the business. What do you need to apply? We want to hear from you if you • Have a bachelor's degree in Civil Engineering which is accredited by the UK Engineering Council with eligibility for at least Incorporated Engineer status. • Have less than 12 months of relevant work experience (excluding placements). • Are confident using Microsoft Office (Word, Excel, Outlook, Teams, PowerPoint). • Are driven, proactive, and solution-oriented. • Can work in the UK without restrictions either now or in the future. This is a permanent role, and we're looking for candidates who can grow their careers with Sweco without a time limit. What's in it for you? Our Graduate Scheme offers a two-year blended learning experience, with a tailored programme delivered virtually and face-to-face. You'll have the chance to network and grow with the 2026 cohort. Personal growth will be supported by our Early Careers team, mentors and subject matter experts from across the business. Structured masterclasses focus on fundamental skills, internal insight, and functional expertise, helping fast-track your development as you pursue professional accreditation. The programme builds your confidence early in your career and gives you a platform for genuine impact within Sweco. You'll be assigned a workplace mentor and a SCE (Supervising Civil Engineer) who will help to support your progress toward professional recognition with the ICE. You'll receive a permanent position with an industry-standard salary and benefits package, including 25 days holiday, a great pension and life assurance. Read what our previous graduates have to say about their experience on the careers section of our website. All applicants will be contacted regardless of the outcome. We provide feedback to all attendees of interviews or assessment centres but are unable to offer personal feedback at the application stage. About Us Transforming society together, we're planning and designing sustainable communities and cities of the future. Solving the great societal challenges of our time is more relevant, demanding and inspiring than ever before. At Sweco, we bring together experts with different perspectives and skills to develop solutions that address the challenges of urbanisation, harness the positive power of digitalisation and make societies more sustainable. We offer our clients a combination of global expertise and local presence, adapted to their business and reality. Our ambition is to be our clients' most relevant partner, working together to help them solve their challenges, today and into the future. Sweco is committed to enabling all its colleagues to achieve a great balance between work and their other priorities, such as caring responsibilities, leisure activities, further learning or other interests. We offer flexible start and finish times, part time and hybrid working options so that you can flex your hours around your day to day needs. Equality, Diversity & Inclusion It's important to us that that all our colleagues thrive at work - we strive to have a friendly and inclusive culture which respects the contribution individuals can bring to Sweco. We aim to promote equality, inclusivity and diversity for everyone. Here at Sweco we positively encourage applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, pregnancy or maternity/paternity. We have signed the Armed Forces Covenant to ensure those who serve or have served, and their families, are treated fairly. To find out more The Armed Forces Covenant - Our Commitments Sweco UK . We are also proud to be a Disability Confident Committed employer, and will interview applicants covered by the Equality Act 2010 that opt into the guaranteed interview scheme on the application form and meet the minimum criteria for the role. If I have a disability, can I get help (e.g. "reasonable adjustments") with the application process? If you're an applicant with a disability that requires a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to use the online application system and need an alternative method for applying, please contact for assistance. In order to address your request the following information is needed: • Name • The best method for contacting you (Phone or email) • The position title • Requisition/vacancy number Upon receipt of this information, we'll respond to you promptly to obtain more information about your request. Attachments and privacy: we reserve the right to close vacancies before the advertised closing date. Sweco UK&I have an internal resourcing team who are responsible for all recruiting activity. We have a Preferred Supplier List of trusted agencies who we work with on those "hard to fill" roles. We have defined processes for recruitment applications and it is company policy not to accept speculative CVs. Any speculative CVs received into the business will become the property of Sweco and the agency will not be eligible for an introductory fee. Our Preferred Supplier List was reviewed in November 2024 and we are not looking to add any additional agencies. We'll be reviewing the PSL again at the end of 2025 and non-compliance with the above statements could be detrimental to you having the opportunity to be included.

Graduate Software Developer (Java/J2EE/JavaEE) up to £28k Location: East Midlands Industry: IT Salary: £24000 - £28000 per annum + benefits & training Posted: 11/06/2018 Graduate Software Developer (Java) - Nottingham - Global Software House - Enterprise software development - up to £28k! Java Developer, J2EE Software Engineer, Java Programmer, Software Developer, Software Engineer, Java, Java SE, JEE, JavaEE, J2EE, J2ME, Enterprise Edition, Tomcat, Apache, Oracle, SQL, Graduate Developer Are you a recent graduate who comes with Java development experience either from a placement or dissertation/project? Do you enjoy all things Java and would like to use your J2EE or JavaEE knowledge for your next step in your career in a development position? Want to work for a software house that will give you the opportunity to work with exciting AI, Artificial Intelligence and ChatBot techs whilst getting the support and training to grow as a Java developer? This role is a fantastic opportunity to work for an international software house with a very exciting expansion plan, a range of award winning software products and services and an excellent staff retainer offering realistic career progression (internal/external training). My client is offering a competitive salary of up to £28,000 alongside a Package which includes flexi-time and ongoing reviews to ensure that salary increases. Working for strong professional company with an exceptional reputation could be just the key to a long and successful Developing career as a Graduate Java Developer/Graduate Software Developer. This progressive software house is looking for an experienced and driven Java Developer to join their team. The Software Developer will have the chance to work on projects to develop high quality software developing ground-breaking applications that utilise everything from Artificial Intelligence to ChatBot technologies. You will work with forward-thinking developers on funky mobile and web apps. Our client is looking to create a new team to join their existing developers, which are some of the best in the business. You'll be working on cutting-edge human centred cloud based enterprise applications that are the first of their kind utilising industry specific software with interactive technology. The Skills Needed Strong experience within Java Development from your placement or dissertation/project Good experience with J2EE/Java Enterprise Edition technologies A high-flying graduate with a Computer Science degree or similar as well as a strong work ethic and the ability to adapt to new challenges Extra Java qualifications are a bonus but not necessary Other technologies: Java, Java SE, JEE, J2EE, J2ME, Tomcat, Apache, Oracle, SQL, IIS, Windows, UNIX This is an excellent opportunity to join an exciting company that will propel your development career forward. This role is based in Nottingham which is easily accessible from surrounding East Midlands areas such as Leicester and Derby. Candidates from all ages and backgrounds will be considered for this role.

Dexory is building its first company-wide data capability, and this is its founding hire. You will build and own the data foundation that brings our various sources together, model them into clean and trustworthy tables, and define the metrics and business concepts so that how we are doing means the same thing to everyone, and so that AI can query our data safely. The first and most important outcome is a reliable, queryable view of customer and site performance against contracted SLAs and KPIs. From that same foundation, you will go on to serve the rest of the business: deployment and billing readiness, finance, product usage and operational efficiency. This is a senior, hands-on role for someone who is data- and AI-automation savvy, can make the big architectural calls and still ship, and can navigate the genuinely hard part: getting the business to agree on what a site, a customer, or a deployment actually is. You will be a team of one to begin with, setting the standards, proving value quickly with early wins, and shaping the function and team we build around you, with a clear path to lead it. This will involve a minimum of 2 days a week onsite at our Wallingford facility. Responsibilities Build the data foundation, bringing operational, product, commercial and contractual data into a single queryable layer, and decide the architecture and system of record for our core concepts: customer, site, deployment and contract Embed Dexory's data security requirements into all foundational architecture and engineering work, ensuring security is a core design principle rather than an afterthought. Make customer and site performance answerable on demand by modelling perception accuracy, scan and mission performance, obstructions and scan coverage, connectivity and other operational signals against the SLAs and KPIs we have committed to per site. Define the metrics and business definitions with each team so that key terms are consistent and the data is trustworthy. Establish the metrics bible that controls the lens through which AI and reporting interpret our data. You facilitate and codify these definitions rather than owning every one alone. Use AI automation to join the dots between systems and to make data genuinely self-serve: connectors and pipelines where needed, and a trustworthy natural-language and query layer so teams get correct, context-aware answers instead of raw-data guesses. Partner with the engineering teams, platform, autonomy and perception, to have them expose source data cleanly, rather than building every pipeline yourself. Your focus is on what the data means and how it fits together. Own the ongoing health of the foundation: monitor pipelines, fix what breaks when sources change, and protect the trust that makes this the company's source of truth. Make pragmatic build-versus-buy decisions, set the engineering standards for the future team, and deliver early, visible wins within the first few months. Help define, recruit and mentor the team as the function grows. Required Qualifications Significant experience as a senior data or analytics engineer, comfortable owning architecture and making source-of-truth decisions independently. Strong hands-on data skills: fluent SQL, solid data modelling, and a modern data stack. We are building on Databricks, so experience there or with an equivalent lakehouse or warehouse, plus a transformation framework such as dbt and strong Python, is what we are looking for. Demonstrated fluency with AI automation tooling: using LLMs and agents to integrate systems, accelerate delivery and expose data for natural-language querying, with the judgement to control context so the answers stay trustworthy. We want evidence of what you have built, not familiarity with the buzzwords. A proven track record in integrating multiple operational and commercial or SaaS systems. For us, that landscape includes Databricks, HubSpot, product analytics via Pendo, fleet and robot telemetry via Grafana, deployment tooling and contractual data. The communication and facilitation skills to align non-technical stakeholders on shared definitions and ownership, and the patience to navigate genuinely contentious questions about what our core concepts mean. This matters as much as the technical skill. Experience with data quality and, ideally, deduplication or entity resolution concepts, so information stays consistent everywhere it is used. A self-starter who thrives as the first or sole engineer in a fast-moving scale-up and wants to grow into leading the function. Benefits Starting from the interview process and continuing into your career with us, you will be working by our four Operating Principles: Performance: High standards, outstanding results, Impact: Big challenges, bigger results Commitment: All in, every time One team: One mission, shared success Joining our team and company isn't just about expertise; it's about embracing uncertainty with ambition. We're crafting world-changing solutions, fueled by a passion to redefine what's possible. We will look for you to help create and shape the future of logistics solutions through our products, our culture and our shared vision. You will also receive: Private healthcare via Bupa with 24/7 medical helpline Life insurance Income protection Pension: 4+% employee with option to opt into salary exchange, 5% employer Employee Assistance Programme - mental wellbeing, financial and legal advice/support 25 holidays per year Full meals onsite in Wallingford Fun team events on and offsite, snacks of all kinds in the office AAP/EEO Statement Dexory provides equal employment opportunities to all employees and applicants for employment. It prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, or any other characteristic protected by local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training

AI Engineer Placement Programme no experience needed From £45,000 to £75,000 per annum AI Trainee Engineer £45,000£75,000 Job Programme This is a self-funded programme that leads to employment, fees apply. Job GuaranteeComplete the programme and get a job, or get your course fees back. Location:UK Wide (Remote Opportunities Available) Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as afew weeks. Our programme includes: Official AWS Certified Cloud Practitioner certification Training in Python, Machine Learning, and AI systems Hands-on projects using real-world AI tools and technologies Professional CV and LinkedIn support Interview preparation Dedicated recruitment support until placed Personalised 1-1 tutor support Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: AI Engineer: £45,000 £60,000 Machine Learning Engineer: £60,000 £75,000 Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Important: Money-back guarantee applies to candidates who complete and pass all required qualifications, meet programme requirements, and actively engage with the recruitment process. If you do not secure a role within 12 months, you will receive a refund. Full T&Cs available on request. Apply now to get started. JBRP1_UKTJ

AI Engineer Placement Programme no experience needed From £45,000 to £75,000 per annum AI Trainee Engineer £45,000£75,000 Job Programme This is a self-funded programme that leads to employment, fees apply. Job GuaranteeComplete the programme and get a job, or get your course fees back. Location:UK Wide (Remote Opportunities Available) Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as afew weeks. Our programme includes: Official AWS Certified Cloud Practitioner certification Training in Python, Machine Learning, and AI systems Hands-on projects using real-world AI tools and technologies Professional CV and LinkedIn support Interview preparation Dedicated recruitment support until placed Personalised 1-1 tutor support Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: AI Engineer: £45,000 £60,000 Machine Learning Engineer: £60,000 £75,000 Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Important: Money-back guarantee applies to candidates who complete and pass all required qualifications, meet programme requirements, and actively engage with the recruitment process. If you do not secure a role within 12 months, you will receive a refund. Full T&Cs available on request. Apply now to get started. JBRP1_UKTJ

AI Engineer Placement Programme no experience needed From £45,000 to £75,000 per annum AI Trainee Engineer £45,000£75,000 Job Programme This is a self-funded programme that leads to employment, fees apply. Job GuaranteeComplete the programme and get a job, or get your course fees back. Location:UK Wide (Remote Opportunities Available) Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as afew weeks. Our programme includes: Official AWS Certified Cloud Practitioner certification Training in Python, Machine Learning, and AI systems Hands-on projects using real-world AI tools and technologies Professional CV and LinkedIn support Interview preparation Dedicated recruitment support until placed Personalised 1-1 tutor support Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: AI Engineer: £45,000 £60,000 Machine Learning Engineer: £60,000 £75,000 Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Important: Money-back guarantee applies to candidates who complete and pass all required qualifications, meet programme requirements, and actively engage with the recruitment process. If you do not secure a role within 12 months, you will receive a refund. Full T&Cs available on request. Apply now to get started. JBRP1_UKTJ

AI Engineer Placement Programme no experience needed From £45,000 to £75,000 per annum AI Trainee Engineer £45,000£75,000 Job Programme This is a self-funded programme that leads to employment, fees apply. Job GuaranteeComplete the programme and get a job, or get your course fees back. Location:UK Wide (Remote Opportunities Available) Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as afew weeks. Our programme includes: Official AWS Certified Cloud Practitioner certification Training in Python, Machine Learning, and AI systems Hands-on projects using real-world AI tools and technologies Professional CV and LinkedIn support Interview preparation Dedicated recruitment support until placed Personalised 1-1 tutor support Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: AI Engineer: £45,000 £60,000 Machine Learning Engineer: £60,000 £75,000 Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Important: Money-back guarantee applies to candidates who complete and pass all required qualifications, meet programme requirements, and actively engage with the recruitment process. If you do not secure a role within 12 months, you will receive a refund. Full T&Cs available on request. Apply now to get started. JBRP1_UKTJ

Autonomy Engineer (Lidar perception) Wallingford At Dexory, we build, deploy, and operate autonomous robots that transform logistics and warehouse operations. In just six months, we went from the first CAD model to a deployed robot at a customer site in May 2023. Two years later, we've built and deployed over 150 robots, grown from a team of 10 to more than 250 people, and continue to scale at startup speed. Our ambition now is to scale our robotics and autonomy stack to hundreds, soon thousands, of robots operating in dynamic, real-world environments. As a Robotics Engineer at Dexory, you'll help us make that possible: designing systems that can be deployed every two weeks to our global fleet, with zero manual customisation. The challenge is immense: how do you build a scalable, reliable robotics core that powers a rapidly growing Robot-as-a-Service platform? If solving that at speed excites you, you'll feel right at home here. When you apply, provide a few sentences why you think you're the right person for this role. We value the right attitude, humility and we're as interested in your character as we are in your talent. Please apply, even if you feel you only meet part of our listed criteria. Diversity drives innovation and we offer an international and friendly work environment with an energetic company culture. What does this role involve? Developing and maintaining autonomy software for real-world robotic systems Working with ROS 2, using modern C++ (17/20), and Python Developing and maintaining our lidar odometry Developing and maintaining our lidar based SLAM approaches (we need a few) Collaborating with deployment teams to support complex field operations Occasionally travel for hands on deployment support Requirements: Solid understanding of LiDAR based SLAM algorithms (e.g., Cartographer, LOAM, LIO SAM, HDL Graph SLAM, etc.) Experience with pose graph optimization, scan matching, and sensor fusion Familiarity with Open3D or PCL for point cloud processing. Understanding of state estimation frameworks (e.g., EKF, UKF, graph based methods, or factor graphs). Evidence of past work: open-source contributions, competition results, or deployed systems Experience integrating 3D and 2D LiDARs (Ouster, Velodyne, Hesai, Livox, SICK, etc.). Knowledge of calibration (LiDAR-IMU, LiDAR-camera, LiDAR-robot base). Understanding of sensor synchronization, timestamp alignment, and coordinate transformations. Ability to design and validate sensor placement for optimal coverage and robustness. Solid experience with ROS 2, C++, and Python Familiarity with Linux, Git, CI/CD, and containerisation Willingness to travel for hands on deployment (when needed) Strong communication and collaboration skills Strong Advantage If You Have Expertise in design robotic software at scale Experience with Lidar based segmentation, or other perception pipelines Contributions to open source robotics projects Participation in competitions like RoboCup, Formula Student AI, or DARPA challenges Benefits Starting from the interview process and continuing into your career with us, you will be working by our four Operating Principles: Performance: High standards, outstanding results, Impact: Big challenges, bigger results Commitment: All in, every time One team: One mission, shared success Joining our team and company isn't just about expertise; it's about embracing uncertainty with ambition. We're crafting world changing solutions, fueled by a passion to redefine what's possible. We will look for you to help create and shape the future of logistics solutions through our products, our culture and our shared vision. You will also receive: Private healthcare via Bupa with 24/7 medical helpline Life insurance Income protection Pension: 4+% employee with option to opt into salary exchange, 5% employer Employee Assistance Programme - mental wellbeing, financial and legal advice/support 25 holidays per year Full meals onsite in Wallingford Fun team events on and offsite, snacks of all kinds in the office AAP/EEO Statement Dexory provides equal employment opportunities to all employees and applicants for employment. It prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, or any other characteristic protected by local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training Please note: We are unable to provide sponsorship or relocation for this role.

AI Engineer Placement Programme no experience needed From £45,000 to £75,000 per annum AI Trainee Engineer £45,000£75,000 Job Programme This is a self-funded programme that leads to employment, fees apply. Job GuaranteeComplete the programme and get a job, or get your course fees back. Location:UK Wide (Remote Opportunities Available) Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as afew weeks. Our programme includes: Official AWS Certified Cloud Practitioner certification Training in Python, Machine Learning, and AI systems Hands-on projects using real-world AI tools and technologies Professional CV and LinkedIn support Interview preparation Dedicated recruitment support until placed Personalised 1-1 tutor support Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: AI Engineer: £45,000 £60,000 Machine Learning Engineer: £60,000 £75,000 Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Important: Money-back guarantee applies to candidates who complete and pass all required qualifications, meet programme requirements, and actively engage with the recruitment process. If you do not secure a role within 12 months, you will receive a refund. Full T&Cs available on request. Apply now to get started. JBRP1_UKTJ

AI Engineer Placement Programme no experience needed From £45,000 to £75,000 per annum AI Trainee Engineer £45,000£75,000 Job Programme This is a self-funded programme that leads to employment, fees apply. Job GuaranteeComplete the programme and get a job, or get your course fees back. Location:UK Wide (Remote Opportunities Available) Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as afew weeks. Our programme includes: Official AWS Certified Cloud Practitioner certification Training in Python, Machine Learning, and AI systems Hands-on projects using real-world AI tools and technologies Professional CV and LinkedIn support Interview preparation Dedicated recruitment support until placed Personalised 1-1 tutor support Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: AI Engineer: £45,000 £60,000 Machine Learning Engineer: £60,000 £75,000 Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Important: Money-back guarantee applies to candidates who complete and pass all required qualifications, meet programme requirements, and actively engage with the recruitment process. If you do not secure a role within 12 months, you will receive a refund. Full T&Cs available on request. Apply now to get started. JBRP1_UKTJ

AI Engineer Placement Programme no experience needed From £45,000 to £75,000 per annum AI Trainee Engineer £45,000£75,000 Job Programme This is a self-funded programme that leads to employment, fees apply. Job GuaranteeComplete the programme and get a job, or get your course fees back. Location:UK Wide (Remote Opportunities Available) Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as afew weeks. Our programme includes: Official AWS Certified Cloud Practitioner certification Training in Python, Machine Learning, and AI systems Hands-on projects using real-world AI tools and technologies Professional CV and LinkedIn support Interview preparation Dedicated recruitment support until placed Personalised 1-1 tutor support Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: AI Engineer: £45,000 £60,000 Machine Learning Engineer: £60,000 £75,000 Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Important: Money-back guarantee applies to candidates who complete and pass all required qualifications, meet programme requirements, and actively engage with the recruitment process. If you do not secure a role within 12 months, you will receive a refund. Full T&Cs available on request. Apply now to get started. JBRP1_UKTJ

AI Engineer Placement Programme no experience needed From £45,000 to £75,000 per annum AI Trainee Engineer £45,000£75,000 Job Programme This is a self-funded programme that leads to employment, fees apply. Job GuaranteeComplete the programme and get a job, or get your course fees back. Location:UK Wide (Remote Opportunities Available) Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as afew weeks. Our programme includes: Official AWS Certified Cloud Practitioner certification Training in Python, Machine Learning, and AI systems Hands-on projects using real-world AI tools and technologies Professional CV and LinkedIn support Interview preparation Dedicated recruitment support until placed Personalised 1-1 tutor support Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: AI Engineer: £45,000 £60,000 Machine Learning Engineer: £60,000 £75,000 Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Important: Money-back guarantee applies to candidates who complete and pass all required qualifications, meet programme requirements, and actively engage with the recruitment process. If you do not secure a role within 12 months, you will receive a refund. Full T&Cs available on request. Apply now to get started. JBRP1_UKTJ

AI Engineer Placement Programme no experience needed From £45,000 to £75,000 per annum AI Trainee Engineer £45,000£75,000 Job Programme This is a self-funded programme that leads to employment, fees apply. Job GuaranteeComplete the programme and get a job, or get your course fees back. Location:UK Wide (Remote Opportunities Available) Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as afew weeks. Our programme includes: Official AWS Certified Cloud Practitioner certification Training in Python, Machine Learning, and AI systems Hands-on projects using real-world AI tools and technologies Professional CV and LinkedIn support Interview preparation Dedicated recruitment support until placed Personalised 1-1 tutor support Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: AI Engineer: £45,000 £60,000 Machine Learning Engineer: £60,000 £75,000 Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Important: Money-back guarantee applies to candidates who complete and pass all required qualifications, meet programme requirements, and actively engage with the recruitment process. If you do not secure a role within 12 months, you will receive a refund. Full T&Cs available on request. Apply now to get started. JBRP1_UKTJ

Autonomy Engineer (Lidar perception) Wallingford At Dexory, we build, deploy, and operate autonomous robots that transform logistics and warehouse operations. In just six months, we went from the first CAD model to a deployed robot at a customer site in May 2023. Two years later, we've built and deployed over 150 robots, grown from a team of 10 to more than 250 people, and continue to scale at startup speed. Our ambition now is to scale our robotics and autonomy stack to hundreds, soon thousands, of robots operating in dynamic, real-world environments. As a Robotics Engineer at Dexory, you'll help us make that possible: designing systems that can be deployed every two weeks to our global fleet, with zero manual customisation. The challenge is immense: how do you build a scalable, reliable robotics core that powers a rapidly growing Robot-as-a-Service platform? If solving that at speed excites you, you'll feel right at home here. When you apply, provide a few sentences why you think you're the right person for this role. We value the right attitude, humility and we're as interested in your character as we are in your talent. Please apply, even if you feel you only meet part of our listed criteria. Diversity drives innovation and we offer an international and friendly work environment with an energetic company culture. What does this role involve? Developing and maintaining autonomy software for real-world robotic systems Working with ROS 2, using modern C++ (17/20), and Python Developing and maintaining our lidar odometry Developing and maintaining our lidar based SLAM approaches (we need a few) Collaborating with deployment teams to support complex field operations Occasionally travel for hands on deployment support Requirements: Solid understanding of LiDAR based SLAM algorithms (e.g., Cartographer, LOAM, LIO SAM, HDL Graph SLAM, etc.) Experience with pose graph optimization, scan matching, and sensor fusion Familiarity with Open3D or PCL for point cloud processing. Understanding of state estimation frameworks (e.g., EKF, UKF, graph based methods, or factor graphs). Evidence of past work: open-source contributions, competition results, or deployed systems Experience integrating 3D and 2D LiDARs (Ouster, Velodyne, Hesai, Livox, SICK, etc.). Knowledge of calibration (LiDAR-IMU, LiDAR-camera, LiDAR-robot base). Understanding of sensor synchronization, timestamp alignment, and coordinate transformations. Ability to design and validate sensor placement for optimal coverage and robustness. Solid experience with ROS 2, C++, and Python Familiarity with Linux, Git, CI/CD, and containerisation Willingness to travel for hands on deployment (when needed) Strong communication and collaboration skills Strong Advantage If You Have Expertise in design robotic software at scale Experience with Lidar based segmentation, or other perception pipelines Contributions to open source robotics projects Participation in competitions like RoboCup, Formula Student AI, or DARPA challenges Benefits Starting from the interview process and continuing into your career with us, you will be working by our four Operating Principles: Performance: High standards, outstanding results, Impact: Big challenges, bigger results Commitment: All in, every time One team: One mission, shared success Joining our team and company isn't just about expertise; it's about embracing uncertainty with ambition. We're crafting world changing solutions, fueled by a passion to redefine what's possible. We will look for you to help create and shape the future of logistics solutions through our products, our culture and our shared vision. You will also receive: Private healthcare via Bupa with 24/7 medical helpline Life insurance Income protection Pension: 4+% employee with option to opt into salary exchange, 5% employer Employee Assistance Programme - mental wellbeing, financial and legal advice/support 25 holidays per year Full meals onsite in Wallingford Fun team events on and offsite, snacks of all kinds in the office AAP/EEO Statement Dexory provides equal employment opportunities to all employees and applicants for employment. It prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, or any other characteristic protected by local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training Please note: We are unable to provide sponsorship or relocation for this role.

AI Engineer Placement Programme no experience needed From £45,000 to £75,000 per annum AI Trainee Engineer £45,000£75,000 Job Programme This is a self-funded programme that leads to employment, fees apply. Job GuaranteeComplete the programme and get a job, or get your course fees back. Location:UK Wide (Remote Opportunities Available) Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as afew weeks. Our programme includes: Official AWS Certified Cloud Practitioner certification Training in Python, Machine Learning, and AI systems Hands-on projects using real-world AI tools and technologies Professional CV and LinkedIn support Interview preparation Dedicated recruitment support until placed Personalised 1-1 tutor support Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: AI Engineer: £45,000 £60,000 Machine Learning Engineer: £60,000 £75,000 Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Important: Money-back guarantee applies to candidates who complete and pass all required qualifications, meet programme requirements, and actively engage with the recruitment process. If you do not secure a role within 12 months, you will receive a refund. Full T&Cs available on request. Apply now to get started. JBRP1_UKTJ

MAKE STRATEGY A REALITY ACCELERATE YOUR GROWTH CHOOSE YOUR PATH As the world's leading change and transformation consultancy and delivery partner, we enable our clients to move from strategy to reality, taking a pragmatic, practical approach to delivering change that lasts. We're seeking Senior Business Analysts and Business Analysts to help our utility clients deliver the digital, technology and organisation change across the AMP cycle. Please note, this is an initial 3-6 month contract that will require up to 3 days working on client site in the South of England and may involve extensive travel to other sites. SUMMARY You'll join North Highland's Energy & Utilities (E&U) practice, working with our UK water utility clients across the South of England analysing and shaping their multi-year transformation and change portfolios, delivered under managed service and consulting frameworks. The sector is delivering the biggest upgrades seen in a century - modernising assets, systems and ways of working to ensure essential water and waste services are provided. These portfolios are delivered against the backdrop of the AMP 8 regulatory period and include various delivery modes: Enterprise Programmes (core platform and technology replacement / modernisation, regulatory-driven programmes etc), Digital Delivery (Agile/hybrid programmes transforming customer journeys, operational decision-making, case management etc), Operational Change (targeted, "deploy and embed" initiatives affecting frontline populations), and Operating model change (people-led restructuring of how teams are organised, governed and held accountable). The portfolios span all core business units of water utilities - Water, Waste, Engineering, Asset Management, Supply Chains, Operations and Control Centres as well as enabling functions such as HR, Finance, Commercial and Procurement. YOU WILL: Lead requirements elicitation and definition through workshops (often multi-disciplinary), interviews, site visits, job shadowing and document analysis; translate outcomes into high-quality artefacts (epics, user stories, acceptance criteria, use cases and walkthroughs). Map current-state (AS-IS) and future-state (TO-BE) processes; identify gaps and cross-functional handoffs across value streams and client operations. Highlight constraints driven by regulation, safety and asset criticality, producing evidence-based documentation suitable for assurance and audit. Support operating model and workforce change analysis - roles and process impacts, decision rights, governance and handoffs so solutions land effectively across teams. Analyse data flows, data needs and core use cases; capture end-to-end customer and operational journey requirements to support service design, prioritisation and delivery readiness. Maintain end-to-end traceability from business objectives through requirements to delivered outcomes, managing changes through appropriate change control. Collaborate closely with Product, Engineering, Change and Ops to ensure requirements are understood, testable and deliverable, supporting UAT readiness and implementation cutover where needed. IDEALLY, WE'D LIKE: Proven Business Analyst experience in utilities/water, or other closely regulated operational environments (power, telecoms, infrastructure, transport, government, field-based or scientific operations). Strong experience supporting digital transformation and/or change portfolios with multiple workstreams, dependencies and governance. Process mapping and modelling, operating model design and process optimisation, and workforce change impact analysis (roles, skills, ways of working, training/readiness dependencies). Digital journey / service design experience (customer or colleague journeys, pain points, outcomes, prioritisation). Systems experience across EAM platforms (SAP PM, Maximo), GIS platforms, customer platforms (billing, CRM, CCAS) and analytics tooling; exposure to programmes such as ERP, CRM migration, GIS Utility Network Model, lab data systems or workforce management is a strong advantage. Excellent stakeholder engagement, confident facilitating workshops and communicating clearly at all levels; comfortable across Agile/Waterfall/hybrid delivery with tooling such as Jira/Confluence. Applicants must be authorized to work in the United Kingdom, without the need for visa sponsorship by North Highland. Work visa sponsorship will not be provided, either now or in the future, for this position. This is a temporary employee (PAYE) opportunity working via an Umbrella company. North Highland is an equal opportunity employer, and we adhere to all applicable laws and regulations to ensure a fair and equitable workplace. All qualified applicants will receive fair and impartial consideration without regard to race, color, sex, gender identity, religion, national origin, age, sexual orientation, disability, veteran status, or any other characteristic protected by law. We handle all information in accordance local privacy standards and maintain strict confidentiality.

Join Kao Data as a Delivery Manager- Drive Excellence in AI Focused Data Centres! Kao Data leads the industry, pioneering the development and operation of data centres engineered for AI and advanced computing. With a hyperscale inspired and industrial scale platform, we provide our customers with a secure, scalable, and sustainable home for their compute. The Kao Data Operations team, particularly the Data Centre Operations team, fully own and manage all operation live environments, ensuring all critical infrastructure supporting client systems remain secure, reliable and always available. The team oversees power, cooling, fire suppression, cabling and environmental stability, while proactively managing capacity and leading all preventive and corrective maintenance through rigorous change management process working with all internal/external stakeholders. They manage the Engineering Services Provider to guarantee 100% uptime and work across Kao Data to uphold compliance, governance and stakeholder satisfaction. With responsibility for CAPEX delivery, lifecycle replacements and financial accountability, Operations also partner with Design and Construction teams to ensure seamless project handovers. They work closely with our Customer Service, QHSE, Compliance, Security and Implementation teams delivering operational excellence and are the first point of escalation for incidents, the function ensures accurate reporting, transparent communication and uninterrupted service for customers. About the Role We are looking for a Delivery Manager to be responsible for coordinating and delivering data centre projects through design and construction phases, ensuring alignment with programme, cost and quality objectives. Key Responsibilities The end to end delivery management of multiple data centre projects and maintain updated budgets, schedules, and status reports for each. Create and communicate updates on development program & project status monthly suitable for executive level reviews. Effectively present information in a manner to support efficient decision making. Work with Kao stakeholders, operations, design, and construction teams to support the development and maintenance of site wide capital replacement programmes. Implement and manage multi phased site development plans to achieve time, budget, and quality standards in a predictable fashion. Continuously update a campus comprehensive plan to provide predictable statistics in a dynamic environment. Responsibility for the programme planning which outlines the required workstreams needed to set up the project and management of said SME workstreams, including mapping their dependencies. Monitor & create project budget / cost to date against overall project budget. Collation and Development of the scope documents required to appoint the appropriate external professional service teams on the project. Lead, manage and monitor performance of the professional services teams and contractors for design, construction, commissioning services & participate in procurement and project cost estimates and advise on appropriate solutions to best meet the dynamic aims and objectives of a programme driven by changing customer demands in line with Kao's governance and delivery process. Lead weekly and monthly internal stakeholder design and construction meetings reviewing project progress and external professional services and contractor performance and key decisions required from internal stakeholders. Evaluate and level pricing proposals for design, construction, and commissioning services. Act as the conduit between the project cost consultants and corporate finance team ensuring monthly cash flows are updated, articulated, and fully understood. Manage the internal change control process considering cost and programme implications before obtaining relevant stakeholder approvals including review and approval of monthly pay applications from the contractors. When required, support in responding creatively to time critical Request for Proposals (RFP's) and Request for Information (RFI's) with a specific focus on procurement, programme and cost elements. Attending and contributing in development project co ordination, consultant, contractor, team meetings and any other meetings, as required. Monitor environmental, energy efficiency and sustainability goals through out the project life cycle. Ensure appropriate submittals are coordinated with site stakeholders including appropriate site access requirements. Establishing site construction security procedures in conjunction with site security team. Ensuring all data centre deployments are executed in accordance with the Kao Data business plan and Integrated Management System (IMS) with a focus on the Corporate Environmental, Health & Safety, Information Security and Quality Standards. Testing & Acceptance: Plan and execute a rigorous testing program to ensure the facility functions as designed and meets the expectations of Operations and customers. Transition: Facilitate the hand off of the project to site operations, ensuring all customer requirements are accommodated. Qualifications Extensive experience in construction practices and procedures, including management of Lump Sum, Construction Management, and Design & Build project delivery methods from conceptual development through procurement to close out. Experience with delivery of projects in live mission critical data centre facilities. Bachelor's degree in science or engineering or equivalent professional experience. MBA, Master's in Engineering, Management, or related field desirable. Experience with Microsoft Office suite, specifically PowerPoint for use in communicating program updates to executive level, and Excel to create and maintain site program & individual project budgets when preparing and delivering internal stakeholder focused presentations to support strategic planning and capital allocation programmes. Experience with management of specialist consultancy services. Specialist knowledge and relevant sector experience. Can demonstrate that they can effectively acquire, apply and impart industry specific specialist, commercial, procurement, programmes and cost management professional knowledge to the Delivery and operations team. Willingness to travel across sites. Why Kao Data? Be part of an innovative and rapidly growing AI data centre leader. Opportunities for professional growth and leadership development. Work in a dynamic and collaborative environment. Engaging team events that strengthen workplace culture and connections. Benefits Private Medical - private health insurance including dental and optical cover. Holiday - 25 days annual leave plus UK Bank Holidays. Pension - Salary Sacrifice Pension. Parental Leave - Enhanced Maternity and Paternity leave. Life Assurance & Income Protection. Mental health support - 24/7 access to mental health support via our employee assistance programme, and a trained team of Mental Health First Aiders. Giving back - 2 Charity volunteering days a year. Electric Vehicle - Salary Sacrifice Scheme. Optical Benefit Access to Unum's Interested in joining one of the UK's most pioneering data centre operators and developers? A career at Kao Data offers the opportunity to join a rapidly growing company early within its evolution, and within an industry that is showing phenomenal global expansion. Our team is respected within the industry and is trusted to design, build and operate high performance data centres for some of the world's most demanding clients.