Cost engineer jobs in United Kingdom

Join Our Team as a Senior/Principal Hardware Engineer!\n Location: Rochester – Onsite \n Salary: Circa £60,000 depending on skills and experience Who We Are\n At BAE Systems, you’ll be part of something bigger. As a valued member of our global colleague network, you’ll bring your unique skills and perspectives to help pioneer progress and protect what matters most. You’ll be trusted to play your part in delivering advanced, technology-led defence, aerospace, and security solutions that shape a safer future for all of us. \n From the depths of the ocean to the far reaches of space, a career at BAE Systems offers limitless possibilities! Your Role\n As a Senior/Principal Hardware Engineer, you will: \n\n • Execute complex hardware design tasks aligned with our development plan, ensuring timely delivery within budget.\n, • Work within established engineering processes and hardware standards to produce high-quality, reliable design outputs.\n, • Lead hardware requirements capture, preliminary design, and detailed design activities, validating technical decisions through rigorous analysis.\n, • Encourage innovation by identifying opportunities to enhance design efficiency and improve working practices.\nCore Duties\n\n, • Collaborate with multidisciplinary teams to optimize solutions and minimize impacts from dependencies.\n, • Provide technical guidance and support for the development and delivery of digital and/or analogue electronics solutions.\n, • Coach and develop the skills of junior team members.\nEssential Skills\n\n, • A Degree/HND or equivalent experience in electronics engineering.\n, • Proven knowledge and experience of digital and/or analogue electronics technologies.\n, • Experience working through the engineering development lifecycle, from concept to product certification (e.g., DO-254).\n, • Ability to appreciate cost and schedule constraints to meet program needs.\n, • Robust understanding of product design and work package control.\n, • Familiarity with tools such as Mentor Graphics Expedition Enterprise, Simetrix, and LT Spice.\nThe Hardware Team\n In this role, you will be part of a multidisciplinary team focused on formulating and optimizing innovative hardware engineering solutions for products like Helmet Mounted & Head-Up Displays, Mission Computers, Flight Controls, Active Inceptors, and other safety-critical technologies. This is your chance to work on cutting-edge projects alongside a diverse and experienced team, with opportunities for career progression in this dynamic industry. Why Choose BAE Systems?\n Here, you’ll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work, you can grow your career with confidence and be empowered to be your best. You’ll be recognized for your contributions and enjoy rewards tailored to what matters most to you and your family, including: \n\n • Support for your financial and personal wellbeing.\n, • A balanced lifestyle in a sustainable working environment.\n, • A strong sense of shared purpose and a culture where you can truly belong.\nA Place Where Everyone Can Thrive\n We’re committed to building an inclusive workplace where everyone feels valued and supported. A diversity of backgrounds, perspectives, and experiences strengthens our teams and is vital to our mission. \n Important Note: Many roles at BAE Systems are subject to security and export control restrictions. Factors such as your nationality, any nationalities you may have previously held, and your place of birth can affect your eligibility for certain roles. All applicants must achieve at least the Baseline Personnel Security Standard, with many roles requiring higher levels of National Security Vetting. Closing Date\n 11th November 2026 \n We reserve the right to close this vacancy early if we receive sufficient applications. If you’re interested, please submit your application as early as possible!

We're looking for a senior mechanical design engineer to turn our anaerobic digestion technology into a product we can manufacture repeatedly and at scale. You will be joining our core team to bring our innovation to market, overseeing the deployments of our first brewery systems and building a manufacturing blueprint for every unit that follows. \n About Future Greens \n Anaerobic digestion has existed for decades, but conventional systems are too big and expensive to fit next to food and drink factories, making it unfeasible to turn their waste into biogas. We’ve developed a faster anaerobic digestion process designed to reduce the space needed for on-site waste treatment and biogas production. This enables food factories to cut their waste costs and reduce their reliance on fossil-derived natural gas. \n We're starting with breweries that have concentrated waste streams and a high gas demand. Once proven here, we plan to scale it across the whole food and drink sector and the wider bioeconomy to help all industries that produce biodegradable byproducts. \n We've demonstrated the process in the lab, ran a pilot, applied for a patent and lined up customers for full-scale systems. We are now turning this technology into equipment we can manufacture and deploy repeatedly. \n The impact of your role \n You will be joining after our seed round, as we move towards our first commercial deployments. As our Lead Mechanical Design Engineer, you will lead mechanical design from CAD through to deployment, working with fabricators and installation partners responsible for building and installing the systems. Your role is to ensure the designs are practical to manufacture and assemble, and to resolve engineering issues as they arise. \n What you will work on \n\n • Design reactor equipment in CAD, considering materials, fabrication methods and assembly from the outset.\n, • Establish design workflows and select the software tools to support them.\n, • Build and maintain a bill of materials (BOM) cost model to compare design options against target unit costs.\n, • Assess fabricators and suppliers, source components and qualify manufacturing partners.\n, • Oversee fabrication, assembly and installation of the first brewery systems, working with the wider engineering team.\n, • Turn deployment feedback into clear, repeatable design specifications.\n, • Simplify designs for manufacture at scale, removing unnecessary cost and complexity.\n\n What we're looking for \n You have designed industrial equipment and understand what happens when a design meets the realities of fabrication, assembly and cost. We want to hear about the decisions you made, the trade-offs involved and what you learned from seeing your equipment get built. \n Relevant skills and experience include: \n\n • Responsibility for mechanical design from initial concept through to build. There is no minimum number of years: what you have designed and delivered matters more.\n, • Strong mechanical design and CAD skills.\n, • Practical knowledge of materials, fabrication methods and assembly, with a track record of designing for manufacture.\n, • Experience building BOM cost models or designing to a cost target.\n, • Direct work with fabricators and suppliers, including sourcing and qualification.\n, • An interest in using AI tools to improve engineering workflows.\n, • A hands-on approach and the confidence to make and explain engineering decisions as the product develops.\n\n Relevant backgrounds include working with tanks, vessels, tankers, skid-mounted process equipment, modular or containerised systems and other fabricated industrial equipment. Experience in a fabrication design office or taking a new product into repeatable production would also be valuable. We're not looking for an exact path, but the skills and motivation to develop practical designs and follow them through to a working system. \n Who you will work with \n Our four co-founders bring experience across engineering, control systems, AI, finance and commercial operations. You will join us alongside new team members in process safety, automation, controls, mechanical engineering and R&D. Process and anaerobic digestion expertise sits within the wider team, and a second Mechanical Engineer will assist you in sizing process equipment. \n What we offer \n\n • Salary from £60,000, plus equity.\n, • A workplace pension and 28 days of paid annual leave.\n, • Responsibility for the mechanical design of a new industrial product, with direct input into how it is built.\n, • A path to leading our manufacturing team as we scale.\n, • A fast-learning environment where you will see your designs built within months and get to improve them with each iteration.\n, • Opportunity to grow your network by attending industry conferences and innovation summits.\n, • This is an on-site role based in London, with occasional travel to fabricators and brewery customers. Supporting builds and deployments may occasionally require work outside normal working hours.\n, • Flexible start between February and April 2027.\n\n How to apply \n If you don't match every point but have designed industrial equipment with manufacturing in mind, we'd love to hear from you. \n Please share a few lines on your relevant experience together with your CV. Applications are reviewed on a rolling basis.

Entity: Technology Job Family Group: IT&S Group Job Description: Role Summary We are seeking an experienced Senior Data Engineer to design, build and operate scalable data platforms, pipelines and products that enable data-driven decision making across Finance. This role combines strong software engineering practices with modern cloud data technologies to deliver trusted, secure and high-quality data products. The successful candidate will work closely with business partners, product teams, architects, data managers and analytics specialists to transform complex business requirements into robust data solutions. They will lead technical delivery, drive engineering excellence and help establish modern data engineering practices across the organisation. Key Responsibilities Data Platform and Engineering • Design, develop and maintain scalable data pipelines and integrations., • Build and operate cloud-based data platforms, data products and analytical datasets., • Develop reusable frameworks, automation and engineering patterns to accelerate delivery., • Ensure data solutions are secure, performant, resilient and cost-efficient., • Implement CI/CD, automated testing, monitoring and observability across data platforms. Solution Design • Translate business requirements into data models, pipelines and technical solutions., • Design logical and physical data models supporting reporting, analytics, AI and operational use cases., • Collaborate with enterprise and solution architects to align solutions with strategic technology standards., • Evaluate new technologies and recommend improvements to existing platforms. Data Management and Governance • Support implementation of data governance, quality, lineage and metadata management practices., • Ensure data assets meet applicable regulatory, audit and control requirements., • Drive improvements in data quality and trusted data consumption. Leadership and Collaboration • Provide technical leadership across delivery teams., • Mentor and coach data engineers and development teams., • Collaborate with Product Managers, Data Scientists, AI Engineers and Finance stakeholders., • Contribute to engineering standards, best practices and continuous improvement initiatives. Essential Skills and Experience Technical • Significant experience delivering enterprise-scale data engineering solutions., • Strong SQL and data modelling expertise., • Experience with cloud data platforms, with Azure experience preferred., • Experience building ELT/ETL pipelines and data integration solutions., • Strong software engineering practices, including source control, testing, CI/CD and automation., • Experience with big data, streaming and modern data architectures., • Knowledge of security, access controls and data governance requirements. What we expect: • Drive continuous optimization of data pipelines to improve performance and scalability, • Identify opportunities to reduce data volumes and optimize storage efficiency across the organization, • Lead initiatives focused on process efficiency and operational excellence, • Promote a data-driven culture by leveraging insights to support business decisions Preferred Experience • Finance, Treasury, Tax, FP&A or ERP data domains., • SAP, S/4HANA, Fiori or enterprise finance platforms., • Data products supporting AI, machine learning or generative AI use cases., • Experience with Databricks, Microsoft Fabric, Snowflake or comparable cloud data platforms., • Experience operating within Agile product teams. Why join us? At bp, we support our people to grow in a diverse and exciting environment. We believe that our team is strengthened by diversity. There are many aspects of our employees’ lives that are meaningful, so we offer benefits to enable your work to fit with your life. These benefits can include flexible working options, a generous paid parental leave policy, excellent retirement benefits, among others! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Reinvent your career as you help our business meet the challenges of the future. Apply now! Travel Requirement Up to 10% travel should be expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Commercial Acumen, Communication, Data Analysis, Data cleansing and transformation, Data domain knowledge, Data Integration, Data Management, Data Manipulation, Data Sourcing, Data strategy and governance, Data Structures and Algorithms (Inactive), Data visualization and interpretation, Digital Security, Extract, transform and load, Group Problem Solving . Future Location Notice: This role will start in Sunbury, London. bp has announced a planned office move to Timber Square, London, with all positions currently advertised in Sunbury, including this one, expected to relocate around Q4 2027-Q1 2028. This presents an exciting opportunity for all employees and leaders to come together in one London location. The specific date of the move will be confirmed closer to the time. Legal Disclaimer: We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please _. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

Structural Engineer \n Location: Putney, South West London \n Job Type: Full-Time, Permanent \n Salary: £35,000 - £50,000 per annum, depending on experience \n Working Arrangement: Office-based \n Join Aspire Consulting Engineers \n Aspire Consulting Engineers is a growing structural engineering consultancy based in Putney, South West London, specialising in creative, innovative and cost-effective structural design solut... \n \n ZIPC1_UKTJ

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. 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 a few 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. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. 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 a few 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. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. 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 a few 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. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. 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 a few 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. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. 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 a few 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. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. 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 a few 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. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. 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 a few 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. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. 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 a few 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. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. 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 a few 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. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. 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 a few 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. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. 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 a few 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. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. 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 a few 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. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. 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 a few 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. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. 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 a few 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. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. 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 a few 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. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. 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 a few 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. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. 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 a few 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. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. 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 a few 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. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. 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 a few 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. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. 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 a few 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. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. 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 a few 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. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. 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 a few 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. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. 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 a few 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. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. 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 a few 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. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. 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 a few 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. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. 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 a few 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. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. 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 a few 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. Apply now to get started.

Role Title: Cloud Platform Security Architect Duration: 3 month initial contract Location: London. Hybrid, 2 days per week onsite Rate: up to £506 p/d Umbrella inside IR35 Role purpose / summary Job Description: The Cloud Platform & Security Architect is responsible for defining and governing the architecture of FSCS cloud, hybrid infrastructure and security platforms. The role provides strategic and technical architectural leadership across Microsoft Azure, cloud platforms, networking, identity, security and resilience, ensuring technology solutions are secure, scalable, resilient, supportable and aligned with FSCS technology strategy and architectural principles. The role defines target-state architectures, reference architectures, technical standards, patterns and architectural guardrails that guide the design and evolution of FSCS technology platforms. Working closely with Enterprise Architecture, Information and Cyber Security, the IT Infrastructure & Security Manager, Product and Engineering teams, and strategic technology partners, the role provides architecture direction and design assurance across technology change and investment. The role acts as a senior technical authority for cloud platform and security architecture, supporting strategic technology decisions while ensuring solutions remain aligned with FSCS business, security, resilience and operational requirements. My Priorities - what I will deliver Cloud Platform Architecture Define and maintain target-state architecture for Microsoft Azure, cloud and hybrid technology platforms. Define reference architectures and reusable patterns for Azure landing zones, Management Groups, subscriptions, networking, identity, compute, storage, monitoring and governance. Establish architectural principles and guardrails covering Azure Policy, RBAC, PIM, private connectivity, resource organisation, logging and platform governance. Define architecture patterns that enable scalable, secure and consistent technology delivery across FSCS. Provide architectural direction for cloud migration, modernisation and re-platforming initiatives. Assess new Azure services and cloud technologies and provide recommendations for their adoption. Ensure cloud architecture balances security, resilience, scalability, performance, operational supportability and cost efficiency. Define architectural direction for Infrastructure as Code and automated cloud provisioning, including Terraform and Azure DevOps. Maintain cloud platform architecture roadmaps aligned with FSCS technology strategy. Hybrid Infrastructure Architecture Define target-state architecture for FSCS hybrid infrastructure and its integration with Microsoft Azure. Define target-state architectural patterns and standards for core infrastructure services, including technologies such as Active Directory, Entra ID, DNS, DHCP and PKI. Provide architectural direction for compute, virtualisation, storage and associated platform technologies. Define secure and resilient integration patterns between cloud, on-premises and third-party environments. Develop architecture roadmaps supporting infrastructure modernisation and reduction of legacy technology. Identify architectural dependencies, constraints and technical debt associated with hybrid infrastructure. Ensure infrastructure architecture supports agreed security, resilience, lifecycle and operational requirements. Network & Connectivity Architecture Define target-state network architecture across cloud and hybrid environments. Define reference architectures and patterns for Azure networking, routing, segmentation, firewalls, private connectivity, VPN, load balancing and application delivery. Define network architecture aligned with FSCS Zero Trust principles and security requirements. Provide architectural direction across Azure networking, Cisco technologies, Zscaler and associated network and security platforms. Define secure connectivity patterns between Azure, on-premises infrastructure, SaaS services, third parties and external services. Establish architecture standards and principles for network resilience, segmentation, availability and secure connectivity. Assess emerging networking technologies and recommend appropriate strategic direction. Security Architecture & Technical Controls Define cloud platform and infrastructure security architecture aligned with FSCS security policies, enterprise architecture principles and regulatory requirements. Define security architecture patterns and technical guardrails across cloud, identity, network and infrastructure platforms. Provide architectural direction for Microsoft Defender, Sentinel and associated Microsoft security technologies. Define identity architecture covering Entra ID, Conditional Access, PIM, RBAC, MFA, SSO, managed identities and workload identities. Define architectural patterns for Azure Firewall, WAF, DDoS Protection, Key Vault, encryption, certificates and secrets management. Define architecture patterns aligned with Zero Trust principles across identity, networks, applications and cloud platforms. Ensure security, vulnerability management, hardening, logging and monitoring requirements are incorporated into reference architectures and solution designs. Work closely with Information and Cyber Security to ensure platform architectures align with security policies, standards and risk requirements. Evaluate emerging security technologies and recommend appropriate architectural approaches. Resilience, Backup & Disaster Recovery Define architecture principles and patterns for availability, resilience, backup, recovery and disaster recovery. Define appropriate resilience and redundancy patterns for critical cloud and hybrid platforms. Ensure architecture supports agreed recovery objectives and operational resilience requirements. Define reference architectures for backup, replication, failover and recovery capabilities. Identify architectural risks and single points of failure and recommend appropriate design improvements. Ensure resilience and recoverability are incorporated into architecture from the earliest stages of technology design. Provide architectural direction for the evolution of FSCS disaster recovery capabilities. Architecture Governance & Design Authority Act as a key member of the Technology Design Authority and relevant architecture governance forums. Define and maintain cloud platform, infrastructure and security architecture principles, standards, reference architectures and patterns. Provide architectural review and design assurance for technology solutions and major changes. Ensure proposed solutions align with enterprise architecture, technology strategy, security requirements and approved architecture standards. Define and assure non-functional architectural requirements covering availability, resilience, performance, scalability, security, supportability and cost efficiency Identify and document architectural risks, dependencies, constraints and technical debt. Review architectural exceptions and provide recommendations on appropriate treatment. Maintain architecture decision records and other relevant architecture documentation. Provide architecture assurance throughout the technology delivery lifecycle. Work with Enterprise Architecture to ensure domain architecture remains aligned with FSCS enterprise technology direction. Ensure strategic suppliers and technology partners align their designs with FSCS architecture principles and standards. Technology Strategy & Roadmaps Contribute and maintain cloud platform, infrastructure, network and security technology roadmaps. Translate FSCS technology strategy into target-state architecture and practical architecture transition plans. Define transition architectures and sequencing required to move from current-state to target-state technology architecture. Identify opportunities for platform modernisation, consolidation, standardisation and simplification. Assess technology lifecycle, obsolescence and technical debt and recommend appropriate strategic responses. Evaluate emerging technologies and determine their potential relevance and value to FSCS. Provide architectural input into technology investment decisions, business cases and strategic initiatives. Ensure architectural decisions consider long-term sustainability, interoperability, resilience, security and cost. Provide clear architecture recommendations to senior technology stakeholders. Emerging Technology & AI Assess emerging technologies, including AI-enabled services, for their potential impact on FSCS cloud and technology architecture. Ensure appropriate architecture and security considerations are incorporated when AI-enabled technologies integrate with cloud and platform services. Maintain awareness of relevant developments in AI, automation and cloud technologies and advise on their architectural implications. My knowledge - what I need to know Essential CCSP, CISSP, or equivalent industry-recognised cloud/security certification. Strong knowledge of Microsoft Azure architecture across networking, identity, security, compute, storage, monitoring and governance. Strong knowledge of Azure landing zones, Management Groups, Azure Policy, RBAC, PIM and cloud governance. Strong enterprise networking and security knowledge, including routing, segmentation, firewalls, VPNs and private connectivity. Advanced knowledge of Active Directory, Entra ID, Conditional Access, MFA, PIM, SSO, certificates and authentication technologies. Strong understanding of Microsoft Defender, Sentinel, Zero Trust and cloud security architecture. Strong understanding of hybrid infrastructure, resilience, backup and disaster recovery architecture. Good practical understanding of Infrastructure as Code, including Terraform, Azure DevOps and automated cloud deployment. Understanding of AI-enabled technologies and associated architecture and security considerations. Strong knowledge of architecture governance, design assurance, reference architectures and technical standards. Strong analytical, communication, influencing and stakeholder-management skills. Experience Extensive experience designing and assuring cloud platform, security and hybrid infrastructure architectures in complex enterprise environments. Proven experience in a senior architecture role, with strong expertise in Microsoft Azure, networking, identity, governance, resilience and platform security. Experience developing target-state architectures, reference architectures, standards and reusable architectural patterns. Experience providing architecture assurance through design-authority or architecture-governance processes. Experience supporting cloud migration, modernisation, re-platforming and technology transformation initiatives. Experience identifying and managing architectural risk, technical debt, lifecycle and obsolescence. Experience with Infrastructure as Code and automated cloud deployment, including Terraform and Azure DevOps. Experience assessing AI-enabled technologies from an architecture and security perspective. Experience working across Enterprise Architecture, Information and Cyber Security, Product, Engineering, operational teams, suppliers and managed-service partners. Experience communicating complex architecture decisions, risks and options to technical and non-technical stakeholders. Experience producing technology roadmaps, architecture documentation and decision records. Experience working within a regulated environment. Desirable Microsoft Certified: Azure Solutions Architect Expert, or demonstrable equivalent expertise. TOGAF or equivalent architecture framework knowledge. Additional relevant certifications such as Microsoft Azure Security Engineer, CCNP or HashiCorp Terraform Associate. Experience with FinOps and cloud cost-optimisation practices. Knowledge of AI governance, responsible AI and emerging AI security considerations. Experience with enterprise architecture modelling and documentation tools. Knowledge of Data Security Posture Management (DSPM) and wider cloud security technologies Experience with SIEM/SOAR technologies beyond Microsoft Sentinel. All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply! If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website. TPBN1_UKTJ

Design Engineer - Rail \n Location: Wimbledon or Basingstoke - 3 days per week in the office Contract: 6 months rolling Rate:£440 per day (umbrella) Inside IR35 \n We are currently recruiting for an experienced Design Engineer to support the development of rail infrastructure proposals from initial feasibility through to detailed design. \n The successful candidate will be responsible for developing engineering solutions that are safe, technically robust, deliverable and aligned with programme, cost and quality requirements. \n Key Responsibilities \n\n • Lead the engineering development of allocated proposals from initial remit through to project completion.\n, • Develop and evaluate engineering options, considering safety, reliability, operational capacity, maintainability, construction and environmental requirements.\n, • Ensure engineering proposals comply with relevant standards and requirements.\n, • Act as a Contractor's Responsible Engineer (CRE), subject to relevant competence and authority.\n, • Undertake and support risk identification and assessment, including appropriate engineering risk methodologies.\n, • Manage engineering scope and change control, assessing impacts on cost, time and performance.\n, • Support the selection and development of preferred engineering options.\n, • Prepare engineering data and documentation required to progress schemes into detailed design.\n, • Support the CDM Principal Designer through relevant project stages.\n, • Manage engineering interfaces across multiple disciplines and programmes.\n, • Monitor and assess consultants and contractors throughout the development stages.\n, • Ensure engineering activities meet required standards for safety, quality, cost and programme.\n, • Provide technical support and respond to design queries and clarifications.\n\n Essential Requirements \n\n • Engineering degree or equivalent industry-recognised qualification/training.\n, • IRSE Principles Designer licence or equivalent asset-specific qualification.\n, • Strong rail engineering experience, ideally with experience in a principal engineering discipline.\n, • Demonstrable experience in engineering option development and evaluation.\n, • Strong decision-making and problem-solving skills.\n, • Good understanding of rail infrastructure and its lifecycle stages.\n, • Experience with CDM, risk assessment and external audit requirements.\n, • Excellent communication and stakeholder management skills.\n, • PTS essential.\n, • Ability to work effectively across multidisciplinary teams.\n\n Desirable \n\n • Membership of a relevant engineering professional institution.\n, • Experience across design, installation and maintenance.\n, • Formal risk identification and assessment qualifications.\n, • Six Sigma Green Belt.\n\n CV deadline: 15 October at 12pm. \n Disclaimer: \n This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.

Senior Design Engineer - Permanent Way \n Location: London (Canary Wharf) preferred, Derby also considered \n Contract: 12 months \n Rate: £50 per hour \n IR35: Inside IR35 \n We are currently recruiting for an experienced Senior Design Engineer to join a specialist rail design team, working on a range of rail upgrade, renewal and enhancement projects. \n The Role \n You will be responsible for developing and delivering Permanent Way designs from feasibility through to detailed design. The role will involve working closely with multidisciplinary teams, clients and contractors to deliver safe, technically robust and cost-effective design solutions. \n Key Responsibilities \n\n • Develop detailed Permanent Way designs across rail upgrade, renewal and enhancement projects.\n, • Produce designs covering plain line and S&C renewals, track lowering, platform extensions and linespeed improvement schemes.\n, • Undertake structural gauging and passing clearance analysis.\n, • Produce technical documentation, including calculations, reports and specifications.\n, • Prepare designer's risk assessments and ensure hazards are appropriately addressed through the design process.\n, • Review and check the work of other team members.\n, • Oversee technical aspects of track design where required.\n, • Deliver design packages to agreed quality, programme and budget requirements.\n, • Attend formal interdisciplinary design reviews.\n, • Liaise with clients, contractors and multidisciplinary design teams.\n, • Mentor and support less experienced members of the design team.\n\n About You \n You will ideally have: \n\n • HNC with substantial engineering experience or a relevant Civil Engineering degree/equivalent.\n, • Strong experience in Permanent Way and track design.\n, • Experience developing accurate track, S&C and Plain Line designs.\n, • Knowledge of trackform and track componentry.\n, • Experience managing your own workload and leading small teams.\n, • Knowledge of UK railway track and/or railway civil engineering surveying, specification and construction/renewal.\n, • Understanding of UK rail safety legislation and CDM 2015.\n, • Working knowledge of Network Rail Group and Line Standards and/or LU equivalents.\n, • Experience using MicroStation and Bentley RailTrack and/or OpenRail.\n, • Ideally, professional accreditation or working towards professional qualification.\n\n Desirable Experience \n\n • Detailed trackform design, including drainage, under track crossings and formation design.\n, • Track renewals and maintenance.\n, • Knowledge of stressing.\n, • Previous experience as a Contractor's Responsible Engineer.\n, • Experience with ClearRoute.\n\n If you are an experienced Permanent Way Design Engineer looking for a long-term contract opportunity with a major rail engineering environment, we would be keen to hear from you. \n Disclaimer: \n This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.

Practice Group / Department: \n Legal Innovation, Design & Technology - London \n Job Description \n \n Norton Rose Fulbright is a global law firm with more than 3,000 lawyers advising clients across locations in the United States, Europe, Canada, Latin America, Asia, Australia, Africa and the Middle East. We provide a full scope of legal services to the world’s preeminent corporations and financial institutions. \n Our vision is to be a world class business, profitable, ambitious, cooperative and considerate, supporting our clients and people through our global business principles of Quality, Unity and Integrity. \n With over 7,000 employees worldwide, our culture is the thread that connects us. Our strategy and culture are closed connected – defined by shared ambition, global collaboration and a one-team mindset. We believe pioneering work happens when people are empowered to think beyond boundaries, explore new opportunities and grow through diverse experiences. Alongside the right skills and experience, we are looking for people who are innovative, commercially minded, and motivated by the impact of the work they do – ready to share in our ambition and help shape what comes next. \n \n Because while individuals can do well, together we achieve something extraordinary. \n \n Role Purpose \n We are building a new R&D capability focused on developing data-driven and AI-enabled solutions for legal services and the wider business of law. \n The AI Engineer will build end-to-end AI capabilities for R&D products: agentic workflows, retrieval and context, agent and evaluation harnesses, and the user-facing features around them. Working with the Head of R&D, you will translate agreed product and technical designs into secure, observable and maintainable products. \n This is a hands-on full-stack AI engineering role, with applied AI product delivery at its core. You will build AI workflows, tools and integrations, evaluation and observability capabilities, together with the APIs, services and user interfaces needed to ship them reliably. \n This is not a research-only role. You will apply agreed enterprise architecture, security and deployment patterns, while taking practical responsibility for code quality, testing, monitoring and troubleshooting with product, data, technology and security teams. \n You will join a small, hands-on multidisciplinary team. Each team member will workcollaboratively across discovery, prototyping, engineering, productionisation and continuous improvement. \n Key Responsibilities \n\n • \n Build complete AI-enabled product features across user interface, backend, AI orchestration, retrieval and approved enterprise integrations. \n\n\n • \n Design and build agentic AI workflows using structured outputs, tool calling, workflow orchestration, document processing, human-review steps and appropriate controls. \n\n\n • \n Build reusable agent harnesses: practical runtime patterns around tools, state, context, approvals, traces and test fixtures that make agents consistent, inspectable and safe to use. \n\n\n • \n Build grounded retrieval and context patterns using approved data products, search indexes, document repositories and permission-aware sources; provide evidence and citations where appropriate. \n\n\n • \n Design and operate evaluation harnesses for AI workflows, including curated test sets, representative scenarios, automated and human grading, regression tests, trace review and user-feedback loops. \n\n\n • \n Manage prompts, model configuration, tool schemas and routing as tested product assets, including fallbacks and cost/latency trade-offs. \n\n\n • \n Implement AI observability through traces, logs, metrics and evaluation results, so quality, reliability, failure modes, latency and cost are visible and can be improved. \n\n\n • \n Build clear APIs and integrate AI products with approved data, document, search and business systems. \n\n\n • \n Build usable interfaces that help users understand AI output, inspect supporting evidence, provide feedback and complete review or approval steps. \n\n\n • \n Write maintainable Python and TypeScript code; use Docker, Git, automated testing and CI/CD to make development, testing and deployment repeatable. \n\n\n • \n Apply agreed security, authentication, data-handling, deployment and release patterns, working with the relevant firm technology teams where needed \n\n Initial Focus \n\n • \n End-to-end agentic AI features and reusable harnesses for Radar and other named R&D products. \n\n\n • \n A practical evaluation and test capability that lets the team compare prompts, models, tools and retrieval approaches before and after release. \n\n\n • \n Grounded AI workflows that combine firm data, documents, market or regulatory information and user context into useful, attributable outputs. \n\n\n • \n Interfaces that make AI output, confidence, evidence, controls and next actions clear to lawyers and business users. \n\n What Success Looks Like \n\n • \n R&D products use AI workflows that are grounded in trusted context, observable in operation and understandable to users. \n\n AI quality is measured rather than assumed; evaluation results, traces and feedback lead to demonstrable improvements in usefulness, reliabili

\n We're looking for a Lead Databricks Engineer to join our team in London, UK in a hybrid working mode. This role involves designing and leading enterprise-scale Azure and Databricks data platforms to enable advanced analytics and Real Time processing capabilities. You will be responsible for platform architecture, governance, cost optimization and ensuring delivery of high-quality solutions that meet critical business needs in a complex, data-driven environment. \n Responsibilities \n\n • Lead architecture design and implementation of scalable solutions on Azure Databricks\n, • Define and enforce platform standards, ensuring compliance with data governance and security policies\n, • Build and optimize Databricks streaming workloads, including Structured Streaming and Delta Live Tables\n, • Collaborate with cross-functional teams to translate requirements into robust technical solutions\n, • Drive platform performance tuning, cost optimization and monitoring strategies for cloud workloads\n, • Provide leadership across the full engineering life cycle, including solution delivery and production support\n, • Mentor and guide developers, establishing best practices for data engineering on Azure and Databricks\n, • Participate in technical decision-making and review designs for scalability and maintainability\n, • Implement observability for critical pipelines and maintain quality assurance standards\n, • Engage directly with stakeholders to ensure alignment on strategic platform initiatives\n\n Requirements \n\n • Minimum 8+ years of experience in data engineering, including 3+ years in a tech lead capacity\n, • Strong hands-on expertise in Databricks for enterprise-scale workloads\n, • Proficiency in PySpark, Spark Structured Streaming, and Delta Lake\n, • Solid programming skills in Python and demonstrated SQL performance optimization experience\n, • Deep understanding of Azure Data Platform services and cloud-native engineering patterns\n, • Proven experience implementing data governance, quality management and observability frameworks\n, • Ability to manage complex data pipelines for batch and streaming use cases in mission-critical environments\n, • Strong communication and leadership skills to work with distributed teams and senior stakeholders\n\n Nice to have \n\n • Knowledge of Delta Live Tables (DLT) and advanced workflows in Databricks\n, • Familiarity with CI/CD for data engineering using GitHub or Azure DevOps\n, • Experience designing infrastructure-as-code solutions for Azure environments\n, • Understanding of data mesh or lakehouse principles for large-scale architectures\n, • Background in financial trading or capital markets data domains\n\n We offer/Benefits \n\n • EPAM Employee Stock Purchase Plan (ESPP)\n, • Protection benefits including life assurance, income protection and critical illness cover\n, • Private medical insurance and dental care\n, • Employee Assistance Program\n, • Competitive group pension plan\n, • Cyclescheme, Techscheme and season ticket loans\n, • Various perks such as free Wednesday lunch in-office, on-site massages and regular social events\n, • Learning and development opportunities including in-house training and coaching, professional certifications, and courses\n, • If otherwise eligible, participation in the discretionary annual bonus program\n, • If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program\n\n *All benefits and perks are subject to certain eligibility requirements

This job is with WTW, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Description Would you like to help drive the growth and technical software delivery expertise of a global company that works with 91% of the Fortune Global 500? Are you an experienced engineer who is fluent with the latest AI and agentic tooling, thrives on AI agent-led delivery, and can think on your feet to propose innovative solutions to challenging problems? If so, we have an exciting opportunity to join our Willis Neuron Technology team in the UK. This is an exceptional opportunity to play a key role in developing the change capabilities of a global financial services organisation, where our delivery model is pivoting towards AI agent-led development, and the focus is on practical delivery and reacting to the highest value business needs. You will hit the ground running: building AI-enabled products with large language models and modern agent frameworks and directing AI coding assistants to deliver at pace. You will turn concepts from our architects and product managers into working software quickly, challenge technical design and delivery choices, and bring the analytical rigour needed to take AI solutions safely into production. The Role Design, build and productionise AI-enabled features and services using large language models, RAG, prompt engineering and agent frameworks / orchestration (such as LangChain, LangGraph or Semantic Kernel). Take AI solutions beyond prototype, owning evaluation, testing, guardrails, observability, security and cost management. Rapidly prototype and validate ideas, turning concepts into working software within days and proving out how to build the solution properly at scale. Deliver hands-on development of class leading web-based applications and services, integrating AI capabilities with our existing platform (C# / .NET, React and/or Angular, Python) and our Azure cloud and DevOps tooling. Direct AI coding assistants and agentic workflows (e.g. GitHub Copilot, Claude Code) alongside your own hands-on expertise, and rigorously review both human-written and AI-generated code against our architectural, development and security standards. Own delivery of a small suite of business-related projects, ensuring architectural and solution alignment with the wider technical vision. Drive adoption of AI agent-led delivery across the team, coaching others in effective and responsible use of AI tooling so the capability spreads. Challenge established development processes and procedures, particularly how AI agents are integrated into the SDLC, and work closely with the Engineering Leads on tooling adoption and delivery outcomes. Track AI and agentic technology trends outside the organisation and apply them pragmatically to our products, whilst developing deep domain knowledge. Qualifications What you’ll bring Essential Experience Practical experience building with AI and agentic technologies: large language models, RAG, prompt engineering, and agent frameworks / orchestration (such as LangChain, LangGraph or Semantic Kernel). Hands-on experience using AI coding assistants and agentic development tools (e.g. GitHub Copilot, Claude Code, Cursor) in a professional delivery setting, and the ability to critically review, validate and secure the code they produce. Strong hands-on software engineering experience (minimum 10 years commercial), with React and/or Angular, TypeScript, C# / .NET and Python. Hands-on commercial experience in Azure cloud, using GitHub and Azure DevOps, across all phases of the SDLC and Agile delivery. Proven ability to rapidly prototype and validate ideas, moving a concept from whiteboard to working demo in days. Demonstrable experience leading, influencing and mentoring through hands-on contributions. Experience of working in a financial services organisation, preferably with exposure to the insurance industry / insurance broking. Where this directly relevant experience is not available, we will be looking for an ability to rapidly become effective in a new, unfamiliar environment. First-rate communication skills, applied to rapid and creative problem solving with technical and business stakeholders in an occasionally pressurised environment. Comfortable working on your own initiative or as part of a broader project team, remotely or face to face, and confident challenging established approaches. Desirable Experience: Experience running AI / LLM solutions in production at scale, including evaluation frameworks, guardrails and cost management. Experience designing or orchestrating multi-agent workflows, and familiarity with agent protocols (e.g. MCP) for integrating AI agents with engineering pipelines and enterprise data. Experience with microservice based architectures and containerisation. Experience building and working with mathematical algorithms, or with geospatial, catastrophe or financial-modelling data. Experience understanding and translating complex business processes across multiple stakeholder groups. BSc degree qualified in a quantitative discipline (Mathematics, Science or Computer Science). The role offers hybrid working with travel to office expected on a regular cadence for meetings and workshops. Some occasional travel may be required as part of the engagement with business and technology stakeholders. What we offer Enjoy a benefits package designed to help you thrive, both professionally and personally. You'll receive 25 days of annual leave plus an extra WTW day to relax and recharge. Our comprehensive health and wellbeing offering includes private healthcare, life insurance, group income protection, and regular health assessments, all giving you peace of mind. Secure your future with our defined contribution pension scheme, featuring matched contributions up to 10% from the company. We support your growth and balance with hybrid working options, access to an employee assistance programme, and a fully paid volunteer day to make a difference in your community. On top of these, you can opt into a variety of additional perks including an electric vehicle car scheme, share scheme, cycle-to-work programme, dental and optical cover, critical illness protection, and much more. Start making the most of your career and wellbeing with a range of benefits tailored for you. Equal Opportunity Employer We’re committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email candidatehelpdesk@wtwco.com ]]>

This job is with WTW, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Description WTW is seeking a Cloud Platform Engineer -AWS to design, build, and operate the enterprise-scale Amazon Web Services (AWS) compute platform that supports our global business services. In this role, you will deliver secure, scalable, and highly automated cloud services through Infrastructure as Code, platform standards, governance controls, and operational excellence practices. You will join a platform engineering team that runs a mature multi-cloud environment, partnering closely with Azure platform and application teams to deliver consistent outcomes across clouds. The ideal candidate brings deep, hands-on AWS expertise, strong automation skills, and a security-first mindset. Working experience with Microsoft Azure is a strong advantage. The role offers a remote working arrangement and is open to candidates across the UK, with London or Ipswich serving as the primary office locations. The Role: Engineer and operate a large-scale, multi-account AWS environment governed through AWS Organizations, organizational units (OUs), and AWS Control Tower. Design, implement, and manage AWS compute infrastructure, including Amazon EC2, Auto Scaling groups, Elastic Load Balancing, Amazon EBS, and standardized machine images (AMIs) built with EC2 Image Builder. Partner with network and security teams on foundational services such as Amazon VPC, AWS Transit Gateway, security groups, and Amazon Route 53 to ensure secure, reliable workload connectivity. Implement and maintain cloud security services, including AWS Security Hub, Amazon GuardDuty, Amazon Inspector, AWS KMS, AWS Secrets Manager, and IAM roles and instance profiles, while driving vulnerability remediation and platform hardening. Automate provisioning, configuration, and ongoing support using Terraform, AWS CloudFormation or AWS CDK, the AWS CLI, Python, and PowerShell. Manage server fleets at scale with AWS Systems Manager, including Patch Manager, State Manager, Session Manager, and Run Command. Enforce governance standards across the AWS estate, including landing zone design, Service Control Policies (SCPs), AWS Config rules, IAM and IAM Identity Center access models, tagging policies, account vending, and compliance controls. Ensure the resilience and recoverability of compute workloads through high-availability design, AWS Backup, and disaster recovery solutions such as AWS Elastic Disaster Recovery. Optimize cloud resources for performance, cost, and availability using Amazon CloudWatch, AWS CloudTrail, AWS Cost Explorer, AWS Budgets, AWS Compute Optimizer, and Savings Plans. Collaborate with DevOps and application teams to support CI/CD pipelines, containerized workloads (Amazon ECS, Amazon EKS, AWS Fargate), and serverless and managed services such as AWS Lambda. Promote multi-cloud consistency by aligning AWS standards, tooling, and operating practices with the existing Azure platform where appropriate. Resolve support tickets and troubleshoot complex platform issues promptly, performing root cause analysis to prevent recurrence. Document processes, procedures, and infrastructure designs to promote knowledge sharing and continuous improvement. Stay current with AWS service releases and industry trends and recommend improvements to the platform roadmap. Qualifications What you'll bring: Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent practical experience. Demonstrated expertise in cloud infrastructure, with practical experience building and operating production workloads within AWS. Strong understanding of IaaS server management on AWS, including high availability, monitoring, backup, and disaster recovery. Solid knowledge of Windows Server security baselines (e.g., CIS Benchmarks) and configuration management practices. Experience with Terraform in a production environment. Working knowledge of AWS identity and governance, including IAM, AWS Organizations, and Service Control Policies. Understanding of CI/CD tools and concepts (e.g., GitHub Actions, Azure DevOps, AWS CodePipeline). Proficiency in scripting with Python and/or PowerShell. Hands-on experience with Microsoft Azure (e.g., virtual machines, Management Groups, Azure Policy, Defender for Cloud) and with operating in multi-cloud environments. Experience with GitHub Enterprise. Familiarity with additional Infrastructure as Code tools, such as AWS CloudFormation, AWS CDK, Bicep, or ARM templates. Experience managing hybrid and on-premises servers through AWS Systems Manager, or through Azure Arc and OSConfig. Experience with vulnerability management programs and tooling. Experience administering Linux servers in AWS. Basic understanding of AI/ML operational concepts, model lifecycle management, and supporting cloud infrastructure (e.g., Amazon SageMaker, Amazon Bedrock). Experience working within DevOps and Agile delivery models. AWS certifications such as AWS Certified CloudOps Engineer – Associate (formerly SysOps Administrator – Associate), Solutions Architect – Associate or Professional, DevOps Engineer – Professional, or Security – Specialty. Azure certifications (e.g., AZ-104, AZ-305) are a plus. Preferred Experience, Skills, and Qualifications: Soft Skills: Ability to influence technical direction across globally distributed teams. Strong analytical and troubleshooting skills, with a methodical approach to complex problems. Clear, effective communication with both technical and non-technical stakeholders. Commitment to continuous improvement and operational excellence. Sound judgment in balancing governance, security, reliability, and delivery speed. What we offer: Enjoy a benefits package designed to help you thrive, both professionally and personally. You'll receive 25 days of annual leave plus an extra WTW day to relax and recharge. Our comprehensive health and wellbeing offering includes private healthcare, life insurance, group income protection, and regular health assessments, all giving you peace of mind. Secure your future with our defined contribution pension scheme, featuring matched contributions up to 10% from the company. We support your growth and balance with hybrid working options, access to an employee assistance programme, and a fully paid volunteer day to make a difference in your community. On top of these, you can opt into a variety of additional perks including an electric vehicle car scheme, share scheme, cycle-to-work programme, dental and optical cover, critical illness protection, and much more. Start making the most of your career and wellbeing with a range of benefits tailored for you. Equal Opportunity Employer We’re committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email candidatehelpdesk@wtwco.com ]]>

\u003cfigure data-alignment="center" class="relative" style="width:fit-content;margin-left:auto;margin-right:auto;"\u003e\u003cimg src="https://images.teamtailor-cdn.com/images/s3/teamtailor-production/gallerypicture-v6/imageuploads/e04c6d28-7eda-4989-bab8-5491dfcce38b/original.png" alt="PennonStackcolour.png" title="" width="169" height="98" data-alignment="center" style="width:169px;max-width:169px;height:98px;"\u003e\u003c/figure\u003e\u003cp\u003e\u003cstrong\u003ePowered by Water, Driven by Purpose\u003c/strong\u003e\u003c/p\u003e\u003cp\u003eAt Pennon Group, we're proud to serve communities while protecting the environment. Together with our subsidiaries, South West Water, Bristol Water, Bournemouth Water, SES Water, Pennon Water Services and Pennon Power, we're leading the way in water and renewables.\u003c/p\u003e\u003cp\u003eWe're proud to be recognised as a leader in the UK water sector, working towards a greener future. Our goals? As well as lowering our carbon footprint, we're working with partners to plant 300,000 trees, restore peatlands and supporting farmers and landowners to improve water quality and wildlife.\u003c/p\u003e\u003cp\u003eWhether you're starting out or seeking a new challenge, our scale and ambition create opportunities for you to shape your own career.\u003c/p\u003e\u003cp\u003eReady to make a splash? \u003cstrong\u003eJoin our team today.\u003c/strong\u003e\u003c/p\u003e\u003chr\u003e\u003ch2\u003eTurn Waste into a Valuable Resource\u003c/h2\u003e\u003cp\u003eAt South West Water, we're investing in the future of wastewater treatment, sustainability, and environmental protection. As our Head of Bioresources, you'll play a pivotal role in shaping how we manage, optimise and transform one of our most important asset portfolios.\u003c/p\u003e\u003cp\u003eThis is a rare opportunity to lead the strategy, planning and performance of our bioresources operation, ensuring we deliver safe, resilient and compliant services while unlocking opportunities for innovation, efficiency and environmental improvement.\u003c/p\u003e\u003cp\u003eIf you're passionate about sustainable resource management, emerging environmental challenges and influencing major investment decisions, we'd love to hear from you.\u003c/p\u003e\u003cp\u003eDue to the nature of the role and the need to build strong relationships across the business, regular presence in our Exeter office is required.\u003c/p\u003e\u003ch3\u003eWhat you'll be doing:\u003c/h3\u003e\u003cp\u003eAs Head of Bioresources, you'll lead the development and delivery of our long-term bioresources strategy, ensuring our assets can meet current and future regulatory, environmental and operational requirements.\u003c/p\u003e\u003cp\u003eYou'll:\u003c/p\u003e\u003cul\u003e\u003cli\u003e\u003cp\u003eLead strategic planning for bioresources assets across capital maintenance, growth and enhancement programmes.\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eDevelop and implement long-term asset strategies, investment plans and improvement programmes.\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eOwn and evolve our Advanced Anaerobic Digestion (AAD) strategy, ensuring performance, compliance and future capacity requirements are achieved.\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eSponsor and oversee major investment programmes through the full project lifecycle.\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eProvide technical leadership on key challenges including sludge treatment, biosolids recycling, PFAS and emerging environmental risks.\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eShape business planning submissions and regulatory programmes, including future price reviews.\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eUse asset health, risk and whole-life cost data to identify the most effective investment opportunities.\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eWork closely with operational, engineering and regulatory teams to drive performance and continuous improvement.\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eBuild and lead a high-performing team with the expertise needed to meet future challenges.\u003c/p\u003e\u003c/li\u003e\u003c/ul\u003e\u003ch3\u003eWhat we're looking for:\u003c/h3\u003e\u003cp\u003eWe're looking for a strategic leader with a strong technical foundation and a proven track record in wastewater, bioresources or related infrastructure environments.\u003c/p\u003e\u003cp\u003eYou'll bring:\u003c/p\u003e\u003cul\u003e\u003cli\u003e\u003cp\u003eSignificant leadership experience within the wastewater or water sector.\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eExperience managing bioresources, sludge treatment or related operational and asset portfolios.\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eStrong understanding of anaerobic digestion technologies and associated regulatory frameworks.\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eKnowledge of asset management principles, investment planning and regulatory business planning processes.\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eExperience developing long-term strategies and investment cases for complex infrastructure assets.\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eStrong commercial awareness with an understanding of whole-life cost, risk-based decision making and performance optimisation.\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eExcellent stakeholder management skills with the ability to influence at senior levels.\u003c/p\u003e\u003c/li\u003e\u003c/ul\u003e\u003ch5\u003eQualifications\u003c/h5\u003e\u003cul\u003e\u003cli\u003e\u003cp\u003eDegree in Chemical, Process, Environmental Engineering or a related discipline.\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eChartered Engineer status (or working towards chartership) with IChemE, CIWEM or an equivalent professional institution.\u003c/p\u003e\u003c/li\u003e\u003c/ul\u003e\u003ch3\u003eWhy join us?\u003c/h3\u003e\u003cp\u003eThis is an opportunity to influence strategic investment across a critical infrastructure portfolio while helping to deliver a more sustainable future for the South West.\u003c/p\u003e\u003cul\u003e\u003cli\u003e\u003cp\u003e30 days annual leave + bank holidays\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eBonus\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003ePrivate Healthcare\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eCompany car or cash for car allowance\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eCompetitive contributory pension\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eShare-save scheme\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eHealth benefits \u0026amp; wellbeing support programmes\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eGroup discounts\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eCycle to Work scheme\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eFinancial support services\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eDevelopment and training opportunities\u003cbr\u003e... and much more!\u003c/p\u003e\u003c/li\u003e\u003c/ul\u003e\u003chr\u003e\u003cp\u003e\u003cstrong\u003eClosing Date: 5th November 2026\u003c/strong\u003e\u003c/p\u003e\u003cp\u003eWe may close this vacancy early if we receive a high volume of applications. We encourage you to apply as soon as possible.\u003c/p\u003e\u003cp\u003e\u003cem\u003ePlease note that the successful candidate will be subject to a mandatory DBS check as part of the onboarding process.\u003c/em\u003e\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eBe yourself, we like it that way.\u003c/strong\u003e Together, we will build a culture of belonging, where inclusion is instinctive. Diversity is our strength and a reflection of our communities. We care, we value everyone, we celebrate uniqueness.\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eOur core values, which are essential to our success, are:\u003c/strong\u003e\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eBe Rock Solid\u003c/strong\u003e - Build trust and be trusted. Be the one we all look to and can depend on.\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eBe You \u003c/strong\u003e- We want you to bring your best everyday. Be yourself and make your mark in your individual way.\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eBe the Future\u003c/strong\u003e - Embrace change. Drive Progress. Own the challenge.\u003c/p\u003e\u003cfigure data-alignment="left" class="relative" style="width:fit-content;margin-left:0px;margin-right:auto;"\u003e\u003cimg src="https://images.teamtailor-cdn.com/images/s3/teamtailor-production/gallerypicture-v6/imageuploads/434969f8-20ae-43a9-aaf2-971d8656de5e/original.png" alt="Values" title="" width="467" height="117" data-alignment="left" style="width:467px;max-width:467px;height:117px;"\u003e\u003c/figure\u003e\u003cp\u003e\u003c/p\u003e TPBN1_UKTJ

AI Engineer | Agentic Systems & LLM Platform Central London (In person) | Permanent We're hiring on behalf of an AI-first analytics startup whose product runs on a production multi-agent system: Anthropic, OpenAI and Perplexity models orchestrated on AWS, and exposed to customers through the company's own MCP server. This is a real AI engineering role, not calling an API from a web app. The platform already has real users. The job is deciding what good looks like and building the agents, evals and infrastructure that get it there, while setting the technical bar for the team. What you'll do - Design and evolve multi-agent systems: agent topologies, tool calling, memory and context management, and the agent harness itself - Extend the company's MCP server with new tools and capabilities - Build the eval and observability layer: golden datasets, regression suites, LLM-as-judge, and cost and latency tracking per model and client - Own the AWS infrastructure behind it (ECS Fargate, Lambda, Step Functions, S3, DynamoDB, Bedrock), plus CI/CD and infrastructure as code - Guard against prompt injection, PII leakage and cross-tenant data access - Set technical direction, make build-vs-buy calls and mentor other engineers What we're looking for - 3–5 years of software engineering, including 2+ years shipping LLM or GenAI systems in production - Strong Python, and hands-on experience with an agent framework (LangGraph, Strands, CrewAI, OpenAI Agents SDK, Claude Agent SDK or similar) - Production use of LLM APIs, including tool calling and structured outputs, plus RAG (embeddings, vector stores, reranking) - Experience building LLM evals and observability - Solid AWS, and system design for distributed, event-driven systems - A bonus: MCP servers or tools, multi-tenant AI systems, cost optimisation across LLM providers, open-source AI contributions - Right to work in the UK is a must If you use AI agents in your own workflow and have strong opinions on how agentic systems should be built, we'd like to hear from you

Building a sustainable tomorrow The Ferrovial BAM Joint Venture has a successful history of delivering critical infrastructure projects for the UK on time and to budget together in a joint venture partnership. The JV is now delivering the track infrastructure across the entire HS2 route. We are seeking a highly experienced and forward-thinking Survey Manager to lead the surveying strategy and delivery across Lot 2. This is a key role for the project, with responsibility for technical leadership, assurance, innovation, and stakeholder collaboration on one of the UK's biggest infrastructure programmes. You will oversee and direct survey operations from project initiation through to final handover, ensuring technical excellence, compliance, and digital innovation throughout. This is a unique opportunity to help shape national surveying practices, drive the adoption of advanced digital construction methods, and mentor the next generation of survey professionals in a high-profile, industry-defining environment. Your team You will initially be based out of the HS2 project team office near Euston Station in London, with a requirement to work from other project offices in Northamptonshire/Buckinghamshire later on as the project develops Making Possible Strategic Leadership Define and implement the Survey Management Plan for the HS2 Track Systems contract. Lead all survey-related design, planning and operational activities, including: Development, Implementation and Management of Survey Control Network Management of information and as-built verification (TESB – Topographical Engineering Survey Baseline) Setting out for civils and permanent way (P-Way) Reality Capture Monitoring GIS integration Final survey handover deliverables Align survey activities with wider project strategies in engineering, commercial, and digital delivery. Technical Oversight & Assurance Lead technical assurance and quality control across all survey operations. Ensure full compliance with HS2 technical standards, client specifications, and industry best practices. Plan and coordinate survey works across all Lots, managing key interfaces to ensure programme delivery. Stakeholder Engagement Act as the primary technical interface for Ferrovial BAM Rail Systems (FBRS) with HS2 Ltd, design teams, JV partners, local authorities, and other stakeholders. Provide expert technical advice, insight on risk, and accurate reporting to internal leadership and external partners. Innovation & Development Drive innovation in digital construction, automation, survey technologies, and track system methodologies. Champion lean surveying principles and integrated data workflows across the full project lifecycle. Operational Leadership Guide and support surveying teams with control, monitoring, setting out, and verification activities. Ensure the timely, cost-effective delivery of high-quality survey outputs to support both design and construction. Professional Development & Industry Engagement Mentor teams in surveying, site engineering, and digital workflows across the programme. Promote professional accreditation (e.g. CICES, RICS) and lead training, development, and sponsorship initiatives. Represent the organisation at industry events, conferences, and technical forums to promote knowledge-sharing and best practice. What do you bring to the role? Essential Experience Extensive senior-level experience in engineering surveying on major civil infrastructure programmes including development of Survey Control Network Experience in delivering high-speed rail or slab track works. Leadership experience within a Tier 1 contractor or major JV Qualifications Degree, HND, or equivalent qualification in Surveying, Geomatics, Civil Engineering, or a related field. Key Skills Strong leadership and mentoring capabilities with excellent stakeholder engagement skills. Clear and confident communicator able to represent surveying interests at all levels. Advanced knowledge of engineering surveying practices, digital workflows, and relevant technical standards. Knowledge Deep understanding of HS2 technical requirements, Network Rail standards, and UK rail infrastructure regulations. Awareness of the commercial, legal, and technological factors influencing major infrastructure delivery. What's in it for you? Competitive salary A wide range of family-friendly policies Company car/car allowance/travel allowance 8 % matched pension contributions Private healthcare Life assurance 26 days holiday 2 wellbeing days 1 volunteering day Personal and professional development About BAM Building a sustainable tomorrow. That's our mission and our promise at BAM. It's how we engineer vital infrastructure and construct high-quality buildings as one of the largest construction companies in Europe. We strive to create an environment where everybody feels welcome and valued. We're on an exciting journey to employ the best talent to join us regardless of social background, race, colour, religion, national or ethnic origin, sexual orientation, gender identity or expression, age, disability or other characteristics. TPBN1_UKTJ

Project Quantity Surveyor (Construction /Foundations) Isleworth £65,000 - £70,000 + Progression + Training + Company Benefits Are you an Quantity Surveyor confident running your own projects, from a fit-out, construction or building works background that wants to work for London's' leading name in basement and foundational works? Do you want the opportunity to join a close-knit business with over 30 years of success with fantastic staff retention due to constant training, progression, pay reviews, full support for chartership and a very exciting project pipeline? On offer is a fantastic opportunity to join a respected contractor with an outstanding reputation for quality and service. You will work on complex structural residential and commercial projects, benefiting from hands on training, mentorship, and clear career progression. The company prides itself on its friendly team culture, industry expertise, and commitment to developing long term careers. In this role, you will be working from the Isleworth office with senior QS's and Estimators who can help and guide you on their industry specifics to build cost estimates, assessing bids, supporting the procurement team. The Role Produce accurate cost estimates Asses a variety of bids / tenders Support procurement teams to make sure materials are on order Manage interim valuations, cash flow forecasts and cost reporting The Person Proven Project Quantity Surveying or similar experience No degree or qualification needed Based in Isleworth, South West London or commutable distance Keywords : Estimator, Construction, Engineering, Civil Engineer, Structural, Groundworks, Heritage, Restoration, London, Estimating, Quantity Surveyor, Richmond upon Thames, Greater London, Ashford. Reference number: BBB28099 If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV. We are an equal opportunities employer and welcome applications from all suitable candidates. The salary advertised is a guideline for this position. The offered remuneration will be dependent on the extent of your experience, qualifications, and skill set. Ernest Gordon Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job, you accept the T&C's, Privacy Policy, and Disclaimers which can be found on our website. TPBN1_UKTJ

Design Engineer – Smoke Ventilation ? IMPORTANT: Candidates MUST have previous hands-on experience designing smoke ventilation systems. Location: Worcester, Hybrid - Can be remote for the right candidate Hours: Monday–Friday, 8:00–17:00 Salary: Up to £50,000 DOE The Opportunity An excellent opportunity has arisen for a Design Engineer to join a specialist engineering business within the smoke ventilation and life-safety sector. As a Design Engineer, you will be responsible for the design, estimating and technical support of smoke ventilation systems across the full project lifecycle. You'll work closely with Sales, Operations, Project Managers, Engineers, contractors and clients to develop compliant and commercially competitive solutions. Key Responsibilities Design smoke ventilation systems using AutoCAD and relevant engineering tools. Produce layouts, schematics and technical documentation. Interpret fire strategies, specifications and consultant drawings. Ensure designs comply with relevant standards and guidance. Prepare cost estimates, take-offs and quotations. Produce technical proposals and tender submissions. Liaise with suppliers and manufacturers for pricing and technical information. Identify value engineering opportunities. Provide technical support throughout project delivery. Support Project Managers with design development and handover. Attend technical meetings with clients and contractors. Develop standard details and best-practice guidance. Contribute to continuous improvement and lessons learned. About You We're looking for a Design Engineer who has: Previous hands-on experience designing smoke ventilation systems – ESSENTIAL. Experience designing natural, mechanical and/or pressurisation smoke control systems. Strong understanding of Approved Document B. Knowledge of BS 9999, BS 9991, EN 12101 and BS 7346-7. Experience interpreting fire strategies, drawings and specifications. Strong AutoCAD skills. Revit experience would be advantageous. Experience with estimating, take-offs and tender submissions. Strong commercial awareness and attention to detail. Excellent communication and organisational skills. The Ideal Candidate This role would suit a technically strong Design Engineer with an established background in smoke ventilation design. You'll need to be comfortable taking ownership of designs from initial enquiry through to project completion, whilst balancing technical compliance, commercial requirements and client expectations. Smoke ventilation design experience is essential — candidates without this background will not be considered. If you're an experienced Design Engineer looking to develop your career within a specialist smoke ventilation and life-safety environment, this could be an excellent opportunity. TPBN1_UKTJ

Building a sustainable tomorrowFerrovial BAM Joint Venture has a strong track record of delivering major UK infrastructure projects on time and within budget. Have you got what it takes to succeed The following information should be read carefully by all candidates. Since first partnering as BFK in 2010 to deliver key Crossrail contracts, the team has also worked together on the Silvertown Tunnel, HS2 Enabling Works (Fusion JV), the HS2 central Main Works Contract (EKFB), and is now delivering track infrastructure across the full HS2 route.We are now recruiting for an Alliance Configuration Management Engineer to join the HS2 Track infrastructure project and represent us at alliance level. The Rail Systems Alliance structure is designed to manage interfaces, develop common ways of working and resolve any program conflicts with other parties. The alliance informs members how to work together on design, access, resources, and logistics to achieve shared goals for cost and schedule.Your teamThis role will be based at our project offices in London Euston. Making PossibleThe Alliance Configuration Management Engineer is responsible for developing, implementing, and assuring the configuration management framework across the Rail Systems Alliance. Working closely with alliance partners and stakeholders, you will ensure a consistent approach to configuration control, change management, and interface management across multiple contracts and disciplines.This role is critical in ensuring that designs, approvals, and delivered assets remain aligned, traceable, and compliant throughout the asset lifecycle, supporting effective project delivery and governance across the alliance.Configuration Identification: Define the alliance approach to identifying and maintaining configuration items, including track slab designs, materials and components. Establish common configuration baseline principles and ensure alignment between design documentation, BIM models and physical assets across alliance members.Configuration Control (Change Management): Develop and agree common change control methods and governance arrangements across the alliance. Provide assurance that impacts to cost, schedule, safety and performance are appropriately assessed and that changes are reviewed, approved and documented before implementation.Configuration Status Accounting: Define and oversee the configuration status accounting approach across alliance members, ensuring configuration records, registers and revision histories are maintained consistently, remain auditable and provide visibility of current configuration status.Verification and Audit: Establish assurance requirements and support audits, inspections and quality reviews to confirm that approved configurations are being implemented correctly and remain compliant with HS2 standards and contractual requirements.Information and Digital Management: Coordinate the integration of configuration management with BIM and digital engineering processes. Promote consistent control of documentation, models and asset information and support development of the Asset Information Model for handover.Governance and Process Development: Develop, maintain and continuously improve alliance-wide configuration management procedures aligned with HS2 and Rail Systems Alliance requirements. Support governance forums, assurance activities and cross-contract issue resolution.Support escalation and resolution of cross-contract configuration and interface issues.Engage with HS2, delivery partners and assurance bodies to promote alignment on configuration management principles and practices.Lead or support alliance-wide configuration management working groups and forums.What do you bring to the role?Degree in Civil or Mechanical Engineering (or related field).Strong understanding of configuration management principles (e.g. ISO 10007).Experience in large infrastructure or rail projects.Knowledge of BIM and digital engineering practices (e.g. ISO 19650).Experience with change con trol processes and systems integration.Strong stakeholder management and communication skills.What’s in it for you?Competitive salaryA wide range of family-friendly policiesCompany car/car allowance/travel allowance8 % matched pension contributionsPrivate healthcareLife assurance26 days holiday2 wellbeing days1 volunteering dayPersonal and professional developmentAbout BAMBuilding a sustainable tomorrow. That’s our mission and our promise at BAM. It’s how we engineer vital infrastructure and construct high-quality buildings as one of the largest construction companies in Europe.We strive to create an environment where everybody feels welcome and valued. xrnqpay We’re on an exciting journey to employ the best talent to join us regardless of social background, race, colour, religion, national or ethnic origin, sexual orientation, gender identity or expression, age, disability or other characteristics.The application processFor more information about the vacancy and our projects, please contact Monica Curl, Recruiter, BAM Infrastructure, Email: is committed to ensuring a fully inclusive recruitment and onboarding process, so if at anytime you feel you may need any reasonable adjustments, do not hesitate to speak with one of our team, and we will do our best to support you.Job SummaryJob number: 27396Date posted : 2026-08-14Profession: Engineering & Construction ManagementEmployment type: Permanent

Building a sustainable tomorrow BAM are now recruiting for a Slab track – Civils Design Interface Engineer to join the HS2 Track infrastructure project at the initial design phase, which will run concurrently with the completion of main works contracts, which are now at their peak. We are now developing the track design team which will interface with Main Works Civils and Stations Contracts to manage any interfaces and resolve any potential issues for the track design integration such as earthworks, tunnels and viaducts. As a Slab track – Civils design interface engineer, you will manage all design interfaces between viaducts, structures, tunnels, earthworks and the Track System, ensuring that the slab track solution is fully integrated, buildable, and meets all requirements for structural behaviour, movements, durability and long-term performance. This role places a strong emphasis on the ability to interpret and assess structural behaviour, as well as understanding of geotechnical behaviour, including: Movements of viaducts/bridges, including long-term, temperature-driven and transient effects. Settlements / differential settlements and their impact on the slab track system. Expansion joints, bearings and articulation details affecting track behaviour. Overall load transfer mechanism between the slab track system and the railway platform. Your team Location: HS2 project offices in London Euston Full-time; permanent role Making Possible Establish and promote best practice in health, safety, sustainability, cost, time, buildability and quality across the track–civils interface. Integration of Standard Slab Track with civil structures (viaducts, bridges, retaining structures, tunnels, earthworks), ensuring technical compatibility and early identification of constraints. Evaluate structural movements, deflections, rotations and restraint conditions and assess their impact on slab track performance, system tolerances and construction feasibility. Provide site-informed engineering judgement to optimise detailing, buildability, and sequencing at interfaces between structures and track. Coordinate and manage design interfaces with internal and external designers, ensuring that integration is safe, technically robust and compliant with contractual requirements. Input into engineering workshops, design reviews and integration or technical steering groups. Coordinate the Interface Control Documents (ICDs) and maintain clear, auditable records. Support the resolution of interfaces, ensuring timely close-out with Main Works Civils, Stations, Systems, Make Works, and other stakeholders. Prepare minutes, notes and technical reports to ensure transparent communication and accurate documentation. Identify opportunities to improve design by incorporating buildability, quality, safety and value optimisation. Support risk identification, mitigation and reporting relating to structural–track integration. Ensure all interface activities are managed in line with programme and escalate issues proactively where needed. Maintain and promote awareness of SHE hazards and demonstrate active commitment to minimise associated risks. Attend meetings with the broader design, integration and construction teams and client in Birmingham / London. What do you bring to the role? Technical and management skills, with a positive and collaborative approach Enthusiastic team player, able to listen, understand, engage and motivate, and with confidence to make decisions when required Degree-qualified in Civil Engineering or equivalent; Chartered or approaching Chartered status preferred. Experience in structures, geotechnics, civils or infrastructure, ideally within a Rail environment. Degree qualification in civil engineering or equivalent Ability to interpret structural drawings, details, movement envelopes, tolerances and to understand their implications for track slab alignment and system constraints. Familiarity with interface management, technical assurance processes, and formal workflows for design coordination (ICDs, risk registers, change management, requirements traceability). Understanding of design procedures, British/Eurocode standards, and (preferably) HS2-specific standards and processes. Knowledge of design procedures and standards Preferably knowledge of HS2 processes and standards Ability to work in a collaborative multidisciplinary team environment A good commercial understanding of contracts, procurement routes and risk management. Strong appreciation for 3D design and BIM and digital engineering, with the ability to use model reviews to identify clashes and integration risks. Excellent communication—both interpersonal and formal reporting—able to challenge constructively and influence decision-making. Professional approach with clients, designers, JV partners, subcontractors and suppliers. What's in it for you? Competitive salary A wide range of family-friendly policies Company car/car allowance/travel allowance 8 % matched pension contributions Private healthcare Life assurance 26 days holiday 2 wellbeing days 1 volunteering day Personal and professional development TPBN1_UKTJ

Company DescriptionWise is a global technology company, building the best way to move and manage the world’s money.Min fees. Please double check you have the right level of experience and qualifications by reading the full overview of this opportunity below. Max ease. Full speed.Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.As part of our team, you will be helping us create an entirely new network for the world's money.For everyone, everywhere.More about our mission and what we offer.Job DescriptionRecurring Payin team owns the Direct Debit API that powers automated payments into Wise. Underneath this, we are building a platform that allows customers to easily schedule top-ups or business collections.The platform is also built on top of our internal Payin Platform rails; which is a critical component to the Wise money-movement machine and we’re looking for an engineer motivated to come and help us build for this.We primarily offer APIs for any partner looking to set up automated funding or pre-authorizations. From setting up GBP balance top ups automatically to allowing business partners collect EUR bills monthly without having the customer go through the flow every time; our platform aims to consolidate all these use-cases.We aim to allow customers to give a one time permission (pre-authorization) for Wise to pull money across any payment method, a USD bank account or a EUR issued bank card; you name it.Job Responsibilities:Design, develop, test, and maintain backend services written in any language deployed on cloud infrastructure (AWS)Build and maintain RESTful APIs that serve millions of customers across web and mobile platformsDevelop and optimise services powering the card pay-in payment method — one of the most popular payment methods, enabling Wise customers to move around 1 billion every monthDesign and implement database schemas, write and optimise SQL queries against PostgreSQL databases handling high-volume transactional dataBuild and maintain event-driven architectures using Apache Kafka for asynchronous processing of financial events across distributed servicesDevelop and maintain a payment orchestration system that dynamically routes payments across Payment Service Providers to optimize for cost and reliabilityWrite automated tests (unit, integration, and end-to-end) to ensure correctness and reliability of financial systemsConduct code reviews for team members, ensuring code quality, security, and adherence to engineering standardsParticipate in on-call rotations to monitor and respond to production incidents for Tier 2 critical servicesCollaborate with product managers, designers, analysts, and engineers across other teams to deliver cross-functional projectsIdentify and resolve performance bottlenecks, scalability issues, and technical debt in existing systemsEnsure development follows security best practices, particularly around handling of sensitive financial data and compliance with financial regulationsAdditional InformationFor everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.If you want to find out more about what it's like to work at Wise visit Wise.Jobs. xrnqpay Keep up to date with life at Wise by following us on LinkedIn and Instagram.SummaryType: Full-timeFunction: EngineeringExperience level: Mid-Senior LevelIndustry: Financial Services

Company DescriptionWise is a global technology company, building the best way to move and manage the world’s money.Min fees. Remember to check your CV before applying Also, ensure you read through all the requirements related to this role. Max ease. Full speed.Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.As part of our team, you will be helping us create an entirely new network for the world's money.For everyone, everywhere.More about our mission and what we offer.Job DescriptionAbout the role The Cloud Foundations team is responsible for building and maintaining the services that help ensure Wise’s cloud infrastructure meets all the necessary requirements for a growing FinTech business. To this end you will be working with us to develop tooling and provide hands-on technical expertise to design, deploy, and optimise our services in a compliant and cost-effective way on AWS and other major cloud providers.How we workWe operate on a strong belief in automation, programmatic implementation, and reusable design. We’re looking for people who can step back and think holistically about the ecosystem, but also follow through and help implement the design; drawing on the resources across the rest of the platform tribe.As we grow, managing our cloud platform becomes increasingly complex at scale. We need to sustain this growth by continuously iterating on the services we run, with a focus on availability, security, and ease of use. We’re looking for an engineer with relevant experience who can analyse complex requirements and deliver simple solutions to help our teams achieve our mission with speed and confidence. What will you be working on?Build, maintain, and support Wise’s cloud platform.Design and implement scalable and secure cloud infrastructure solutions. Collaborate with cross-functional teams to understand project requirements and deliver effective outcomes.What do you need?Experience designing, building, and deploying scalable cloud-based solution architectures, preferably on AWS and/or GCPExperience with IaC and automating infrastructure provisioning, developer operations, or continuous integration/deployment.Strong knowledge of Golang and/or PythonProficient in written and verbal communication skills with the ability to articulate concepts to users and stakeholders, as well as facilitate cross-team collaboration. Nice to HaveUnderstanding of Kubernetes operator patternExperience with networking within the cloud.Experience with one or more observability platforms.Knowledge of the financial services industry and/or other regulated industries.You get backThe ability to choose your own path to success – you’ll have the freedom to define the vision The freedom to have real impactThe opportunity to inspire teams A fun work environment with social activities and events.Interested? Find out more:How we work – a practical guideDEI @ WiseWise Tech Stack (2025 update)See what it's like to work at Wise London!Our Engineering career mapWise Engineering – do we offer: Starting salary: 87,500 • 111,000 + RSUsWise BenefitsInterested in more than one role?If you're interested in multiple roles, please apply for just one—the one you're most excited about. If you submit multiple applications requiring the same assessment, we'll continue your recruitment journey using your first application, and any duplicate applications will be automatically closed. This helps ensure a fair and consistent interview process. If another role feels like a better fit, you can discuss this with your recruiter during the process.#LI-AB3 #LI-HybridAdditional InformationFor everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.If you want to find out more about what it's like to work at Wise visit Wise.Jobs. xrnqpay Keep up to date with life at Wise by following us on LinkedIn and Instagram.SummaryType: Full-timeFunction: EngineeringExperience level: Mid-Senior LevelIndustry: Financial Services

Company DescriptionWise is a global technology company, building the best way to move and manage the world’s money. Check you match the skill requirements for this role, as well as associated experience, then apply with your CV below. Min fees. Max ease. Full speed.Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their life easier and save them money.As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere.More about our mission.Job DescriptionAbout the role:We're looking for a Senior Staff Engineer (IC5) to join our Consumer Onboarding team. Our mission is to guide personal customers through setting up their Wise account and resolving their first international money needs in a way that's clear, easy, and delightful.Onboarding is one of the most critical moments in a customer's journey with Wise. Get it right, and we build trust from day one. Because we sit at this key point in the customer journey, we deal with high volumes of traffic and need to balance speed, scale, and reliability with a smooth user experience. This makes it an exciting space for engineers who want to solve complex problems at scale while having a direct, visible impact on millions of customers.How we work:At Wise, we believe in autonomy, alignment, and impact. As an IC5 engineer, you won't just be executing tasks • you will be a visionary. You will own fundamental components and shared systems, collaborate across multiple teams, and define the long-term technical strategy for onboarding. We value open communication, high technical standards, and a genuine focus on solving real customer problems.What will you be working on?In the near future, you will be driving technical solutions for our biggest upcoming challenges:Scalable Onboarding Architecture: Designing systems that can support rapid growth in new markets and customer segments without compromising speed or reliability.Cross-Team Technical Alignment: Defining the technical contracts and integration points between Onboarding and other teams across Wise, such as Marketing, FinCrime, and KYC.End-to-End Journey Ownership: Building and evolving robust, scalable onboarding flows from account creation through to a customer's first successful transfer.System Health & Performance: Leading initiatives to improve the maintainability, latency, and cost efficiency of our core onboarding systems.QualificationsWhat do you need?Deep Backend Expertise: Solid, production-proven experience with Java (or similar OOP languages) and modern (micro)service architectures.Distributed Systems Knowledge: Strong experience building and scaling distributed, high-throughput systems.Advanced Architecture Skills: Experience owning and designing fundamental components, shared libraries, or core infrastructure used across multiple teams.Technical Leadership: The ability to set a clear technical vision for your area of ownership, and to mentor and grow engineers around you.Product & Customer Mindset: A strong track record of building customer-facing products, with a good sense of how technical decisions affect the end user.Strong Communication: Excellent collaboration skills, with the ability to explain complex technical concepts clearly to both technical and non-technical audiences, and to align stakeholders across teams.Nice to Have:Experience working closely with Frontend and/or Mobile engineers and design teams.Background in high-growth consumer products or fintech.Experience leading company-wide technical initiatives or working groupsAdditional InformationInterested? Find out more:How we work – a practical guideDEI @ WiseWise Tech Stack (2025 update)See what it's like to work at Wise London!Our Engineering career mapWise Engineering – do we offer: Starting salary: 145,000 • 182,000 + RSUsWise BenefitsInterested in more than one role?If you're interested in multiple roles, please apply for just one—the one you're most excited about. If you submit multiple applications requiring the same assessment, we'll continue your recruitment journey using your first application, and any duplicate applications will be automatically closed. This helps ensure a fair and consistent interview process. If another role feels like a better fit, you can discuss this with your recruiter during the processFor everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.If you want to find out more about what it's like to work at Wise visit Wise.Jobs. xrnqpay Keep up to date with life at Wise by following us on LinkedIn and Instagram.SummaryType: Full-timeFunction: EngineeringExperience level: Mid-Senior LevelIndustry: Financial Services