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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.

We’re a growing team, and as we scale, so does our need to focus on expanding our Product Management team. You’ll be joining a passionate people-focused company, and as a Senior Product Manager of Pricing and Price Optimization, you will define and drive AI/ML product development for Vendavo’s high-growth, high-visibility pricing and price optimization products. Supported by a top-flight sales organization and high-powered engineering team. And massive potential for going both deep and wide into current and future verticals by leveraging our large and highly engaged audience. • Lead the end-to-end product lifecycle, from ideation to execution, to turn ambiguous problems into end-to-end solutions., • Define, execute, and articulate the product roadmap for AI-powered solutions within the Manufacturing and Distribution price waterfall, ensuring alignment with business objectives and customer needs., • Identify where AI and machine learning can drive measurable pricing outcomes and translate those opportunities into roadmap priorities., • Act as a key liaison between business, technical teams, and external partners to ensure clear communication and alignment, • Develop deep expertise in B2B pricing dynamics across manufacturing and distribution verticals., • Define AI/ML-powered pricing capabilities by partnering with data science teams to translate model outputs into intuitive, customer-facing product experiences., • Track competitive dynamics and emerging capabilities in B2B pricing, revenue management, and applied AI to continuously sharpen the product strategy and roadmap differentiation., • Set qualitative objectives and quantitative goals, define product requirements, and drive execution with the Engineering, PM, and UX design teams., • Define and track key pricing product metrics while collaborating with sales, customer success, and analytics stakeholders to measure impact and guide prioritization., • Serve as the internal and external authority on pricing product strategy, communicating roadmap direction and tradeoffs clearly to cross team members in sales, customers, and partners., • Experience - Have 6+ years of relevant work experience in product management at a high-performance SaaS consumer technology company. B2B SaaS Experience (Preferred) - Experience in B2B SaaS, with Pricing and/or price optimization management as a nice-to-have but not mandatory requirement., • Agentic AI Experience - Strong understanding of artificial intelligence, agentic AI tools, machine learning, and their applications in operational settings., • Product Lifecycle Expertise - Must have experience leading at least two full product lifecycles from ideation to launch and post-launch iterations., • Agile Product Development - Strong knowledge of agile methodologies with experience managing iterative, high-quality product releases., • Customer-Centric Focus - Ability to understand customer needs and translate them into valuable product features and solutions., • Data-Driven Decision Making - Skilled in leveraging data and analytics to inform product decisions and prioritize features., • Cross-Functional Leadership - Proven ability to lead and collaborate with cross-functional teams (engineering, sales, marketing) to ensure product success., • Communication & Influence - Exceptional ability to distill complex pricing concepts, roadmap tradeoffs, and data-driven insights into clear, compelling narratives for diverse audiences — including executives, customers, engineering teams, and cross-functional partners., • Problem-Solving and Critical Thinking - Ability to think strategically, solve complex problems, and make sound decisions in fast-paced environments., • Execution Excellence - Strong project management skills to ensure products are delivered on time, within scope, and aligned with business goals., • Fully remote based with the flexibility to work from anywhere in the UK, • Flexible working hours, • Working within a team of friendly, skilled people where help is always within reach, • 25 vacation days per year in addition to public holidays, • 4 recharge days, where the entire company goes on a brief pause in all geographies for 1 day each quarter. This day can be spent in whatever way helps you recharge, to regain energy, and dive back into the next workday, • 16 hours of paid volunteer time per year, • Group Life Insurance, • Income Protection Insurance, • Accident Insurance, • Pension Contribution Plan, • Optional Medical Insurance, • Travel insurance for business travels, • Cell phone allowance up to 80£ per month, • High-end laptop (Dell XPS or Mac), • Quarterly team events (bowling, boat cruise, after-work), • Competitive pay and bonus/commission THE VENDAVO STORY Vendavo partners with the world’s leading companies to accelerate growth and profitability, advance innovation, and build more prosperous communities. Our powerful, cloud-based, AI-powered pricing, selling, and prescribing solutions empower global manufacturers and distributors to manage, optimize, and digitize their end-to-end commercial processes. But we offer so much more than software. Our proven, repeatable process, and passionate, experienced people accelerate value and drive profitable, unrivaled business outcomes for our customers. We are passionate about helping our customers deliver the right products, at the right prices, at the right time, for the right people. OUR SAAS PRODUCTS Our B2B pricing and selling solutions include Vendavo’s Pricing & Strategy Management (Pricepoint, Enterprise Pricing Platform, Deal Price Optimizer, and Vendavo AI), Sales & Quoting Solutions (Intelligent CPQ and Sales Optimizer), Profit and Margin Analytics (Profit Analyzer and Margin Bridge Analyzer), and Incentive & Channel Operations (Rebate and Channel Manager). You can learn more about our products _. OUR FUNDING We are backed by two of the top high-tech private equity firms in the world, have excellent financial health, and boast the top SaaS retention in our space. OUR CULTURE & YOU We collaborate with our customers unlike any others in our industry. Anchored in our values (Integrity, Customer Centricity, Innovation, Clarity, Collaboration), we are growing, constantly innovating, and consistently driving sustainable outcomes for our clients and partners. Unlocking opportunities for our customers would not be possible without our employees. When you are part of Vendavo, you’re part of a company that’s committed to your growth and invested in your career. Diversity, inclusion, and celebration of community are at our core, and we come together to learn from each other and honor our commitments. EMEA and California residents applying for positions at Vendavo can see our privacy policy _. OUR TEAM IS GROWING. YOU WILL TOO.

Ready to make travel easier for millions? Airalo is the world’s first and largest eSIM store, helping travellers stay connected seamlessly in over 200 countries and regions. We trust our teams to take ownership, put customers first, and do work that has a real impact every day. What’s in it for you? Airalo offers team members a range of perks, including remote work, generous PTO, wellness and learning allowances, and, of course, our annual Airalo Away retreat. Learn more about our benefits here; _ Hi, I'm Andra, Director of Data at Airalo! Our team works across the full data ecosystem, from collection to insights activation, ensuring that every piece of data drives meaningful action. We’re curious problem-solvers who love tackling challenges that haven’t been solved before and building tools and processes that scale impact across the company. Airalo’s fully remote Data team is growing. You’ll turn numbers into decisions that shape the future of our business, collaborating with cross-functional teams to solve complex problems and influence how millions of travellers stay connected. This isn’t just dashboards - it’s using data to drive strategy, inform product and growth decisions, and create real impact. You’ll have access to best-in-class tools, the freedom to experiment, and a team ready to turn insights into action. As the Data Engineering Manager, you will lead the foundational backend of our data organization. YYou will directly manage our current pod of Data Engineers (2 Senior Data Engineers and 1 Customer Data Platform Engineer) and shape the hiring roadmap as the function grows - including scoping future specialized roles such as Machine Learning Engineers. Partnering closely with the Data Director, you will help us transition out of the reactive, ad-hoc phase and into a structured, highly scalable data ecosystem. You will own the architecture, ingestion, and orchestration that powers the rest of the data team - ensuring that our Analytics Engineers, Data Analysts and other users have a rock-solid, high-quality foundation to build upon. This role goes beyond building a data platform. You'll be the connective tissue between Product & Engineering, MarTech, and our partner ecosystem - ensuring data is produced cleanly at the source, captured reliably, and delivered cohesively across the entire organization. Manage, mentor, and grow a high-performing team of Senior Data Engineers and CDP Engineers. Drive hiring for the Data Engineering function as it grows, including scoping future specialized roles such as Machine Learning Engineers Foster a culture of engineering excellence, continuous learning, and cross-pollination of knowledge. Own the technical roadmap for Airalo’s data infrastructure (GCP, BigQuery), orchestration (Dagster, Airflow), and ingestion (Fivetran, custom APIs). Drive data-platform architecture decisions, turning ambiguous business problems into scalable, production-grade technical designs. Bridge the data platform with MarTech and third-party ecosystems (PSPs, MNOs, CDPs, attribution platforms), ensuring customer events, campaign data, and partner integrations flow cohesively in both directions. Partner with Software Engineering to embed data quality at the source - implementing data contracts, co-owning schema decisions, and driving the rollout of a data catalogue across the organization. Establish the foundations for real-time data capabilities as the business matures beyond batch processing Design systems that prioritize data quality, privacy, and governance standards across all data initiatives. Transition the team's workflow from reactive problem-solving to structured, agile delivery. Oversee the maintenance and optimization of high-performance data pipelines, implementing CI/CD automation, observability frameworks, and strict data quality gates. Roll up your sleeves when necessary to assist with complex code reviews, Python/Scala development, or unblocking the team on difficult architectural challenges. Act as a strategic partner to the Analytics Engineering Manager and Data Director to build the backend requirements necessary to achieve our company-wide goal of 80% self-serve analytics. 7+ years of professional experience as a Data/Software Engineer, with at least 2+ years of experience directly managing and scaling data engineering teams. You thrive in low-maturity or greenfield data environments. You're comfortable navigating ambiguity and enjoy the process of laying down paved roads and engineering standards where none existed before. Deep, hands-on background with major cloud platforms (GCP preferred) and cloud-native data warehouses (BigQuery preferred, or Snowflake/Redshift). Strong experience with orchestration tools (Airflow, Dagster), ELT pipelines (Fivetran, dbt), and distributed data processing frameworks (Apache Spark, Flink). Hands-on experience using AI tools to accelerate engineering workflows - code generation, code review, pipeline debugging, or documentation Strong coding experience in Python (and/or Scala) and advanced SQL across relational and non-relational databases. Experience implementing CI/CD, Infrastructure as Code, and observability/monitoring for data pipelines. Bachelor's degree in Computer Science, Engineering, Statistics, Information Systems, or a related quantitative field. Experience implementing data contracts, data catalogues (Atlan, Amundsen, DataHub), or federated governance models. Experience with Customer Data Platforms (Segment, mParticle, or similar), MarTech data integration, and real-time event processing. Experience in marketplace, B2C, or high-volume transactional businesses. Previous work in globally distributed data environments (multi-currency, multi-region, multi-language). Experience building or contributing to experimentation platform infrastructure (A/B testing pipelines, feature flag data, experiment analysis frameworks). Exposure to Machine Learning infrastructure - not necessarily building models, but scoping teams, tooling, and pipelines that support ML workloads. If you are interested in this position, please apply via the link. Please note that to be considered for this role, you must reside in and be fully eligible to work in either Romania, Spain, or the UK. Proof of a valid right to work in one of these three countries will be required. By applying, you acknowledge and agree that, in case of successful application, Airalo may request to run background checks as a condition for entering into an agreement with you. Rest assured that these checks will only occur upon your prior consent and at the end of the selection process, and will be strictly limited to what is allowed under the laws that are applicable to you. All data that you share or that we collect in connection with such checks will be processed in accordance with our Privacy Policy, available here: _ We sincerely thank all applicants in advance for submitting their interest in this opportunity. Airalo is an equal-opportunity employer and values diversity, equity & inclusion. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations upon request for individuals with disabilities throughout our job interview process. At Airalo, we use AI-assisted tools as part of our recruitment process. Your application will be reviewed using tools that help our recruiters analyze and organize CV information. These tools support, but do not replace, human judgment; all hiring decisions are made by humans. If you progress to an interview, we may use tools to generate AI-assisted notes - you can opt out of these. For more information on how we handle your data, please see our Privacy Policy: https://www.airalo.com/more-info/privacy-policy.

Data sits at the heart of the company.This role ensures that Awin can fully leverage the data available across the group, enabling the development of advanced analytical and machine learning capabilities that support stronger commercial decision-making and enhance products used by client-facing team

Experience working closely with machine learning engineers on model development and deployment. Designing and implementing data and machine learning systems that run from edge devices in the field through to cloud, scaling to hundreds of terabytes of sensor data — with significant ownership over t

Ability to apply your machine learning knowledge to solve real product problems. The whole platform is built around learning by doing rather than just passive video watching.

Drive work within the Ideation pillar by prototyping, testing, and evaluating novel GenAI concepts and machine learning techniques to determine scalability and business value.

Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. Why this freelance opportunity might be a great fit for you?. Take part in a part-time, remote, freelance project that fits around your primary professional or ac

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.

Manufacturing Estimator – Sheet Metal / D365 Business Central Location: Plymouth Hours: Full-time (40 hours per week) or four days per week considered Contract: Permanent The Role We are looking for an experienced Manufacturing Estimator to join an established sheet metal manufacturing operation in Plymouth. This is a varied role combining traditional manufacturing estimating with customer communication, data collection and hands-on use of Microsoft Dynamics 365 Business Central. The successful candidate will be responsible for producing accurate and commercially competitive quotations, while also playing an important role in improving the quality of manufacturing data held within the business. You will work closely with customers, production, engineering and administration teams, helping to establish accurate machine and process timings and ensuring relevant costing and manufacturing information is maintained effectively. As the business expands its use of the Business Central Manufacturing functionality, you will also have the opportunity to help develop BOMs, routings, work centres, machine centres and production processes within the system. Key Responsibilities • Produce accurate quotations for sheet metal fabrication and manufacturing work., • Review customer drawings, STEP files, technical information and specifications., • Calculate material, labour, machine, process, finishing and other manufacturing costs., • Communicate directly with customers where required to clarify drawings, specifications and manufacturing requirements., • Work closely with production and engineering teams to establish accurate manufacturing and process timings., • Play an instrumental role in collecting and maintaining manufacturing data, including machine timings, process timings, BOMs and WOTs., • Review previous jobs and manufacturing data to improve the accuracy of future quotations., • Obtain and review supplier and material pricing., • Identify opportunities to improve manufacturability and reduce production costs., • Work closely with the administration team when quotations progress to orders., • Support the continued development of estimating and manufacturing processes across the business. Microsoft Dynamics 365 Business Central Business Central experience is an essential requirement for this position. Day-to-day responsibilities within BC will include: • Adding and maintaining contact and customer cards., • Adding and maintaining item cards., • Adding and maintaining sales price lists., • Creating sales quotations., • Communicating with the administration team when quotations progress to orders., • Using historical BC data for costing purposes, including previous suppliers and purchase prices., • Maintaining accurate commercial and manufacturing information within the system. As the business expands its use of the Business Central Manufacturing module, the successful candidate will also be involved in: • Building Assembly and Production BOMs within Business Central., • Building and maintaining routings., • Setting up work centres and machine centres., • Assisting with the creation of production orders and work order tickets., • Helping establish the data and processes required to make greater use of Business Central's manufacturing functionality. Previous experience of all of these areas is not necessarily required, but candidates should be comfortable using Business Central and have the ability and interest to develop their knowledge of its manufacturing functionality. Estimating & Manufacturing Software The business is also exploring specialist manufacturing estimating software such as Costimator, which can use STEP files to assist with manufacturing cost calculations. Previous Costimator experience is not required. However, candidates should be confident learning new software and technology. Experience using similar manufacturing estimating, CAD/CAM, costing or production software would be advantageous. Essential Experience • Previous experience within manufacturing estimating, sheet metal fabrication, engineering costing or a closely related position., • Hands-on experience using Microsoft Dynamics 365 Business Central., • Good understanding of sheet metal manufacturing and fabrication processes., • Ability to interpret engineering drawings and technical specifications., • Understanding of manufacturing costs including materials, machine time, labour and processes., • Experience working with manufacturing data such as BOMs, process information and production timings., • Good IT and systems skills., • Strong numerical ability and attention to detail., • Good commercial awareness., • Confident communicating with customers to clarify requirements., • Comfortable working collaboratively with production, engineering and administration teams. Desirable Experience • Experience using Business Central within a manufacturing environment., • Business Central Manufacturing module experience., • Experience with Production or Assembly BOMs and routings., • Experience with work centres, machine centres or production orders., • Previous experience with sheet metal processes such as laser cutting, CNC punching, folding/press brake, welding, powder coating and assembly., • Experience using STEP files.Costimator or similar manufacturing estimating software experience., • CAD/CAM experience., • Experience within subcontract manufacturing. Working Hours The business is open to either a full-time 40-hour working week or a four-day-per-week arrangement for the right candidate. Factory operating hours are: Monday-Thursday: approximately 07:45/08:00 - 16:30/16:45 Friday: 08:00 - 13:00 Specific working arrangements can be discussed depending on whether the successful candidate works full-time or four days per week. Salary & Benefits • Permanent salaried position., • Salary paid monthly in arrears on the 28th of each month, or the nearest Friday where this falls on a weekend or bank holiday., • Three-month probationary period., • Full-time holiday entitlement of 24 days plus 8 statutory bank holidays., • Holiday year runs from 1 January to 31 December., • Holiday entitlement for a four-day working arrangement will be adjusted in line with contracted working hours., • Company sick pay may be available at management discretion. The Person This role would suit someone who combines practical manufacturing knowledge with strong systems skills. You may currently be working as a Manufacturing Estimator, Sheet Metal Estimator, Fabrication Estimator, Engineering Estimator, Costing Engineer or Technical Estimator. The key requirement is the combination of manufacturing/estimating knowledge and hands-on Microsoft Dynamics 365 Business Central experience. The successful candidate will be comfortable working with data, customers and manufacturing teams and will be interested in helping the business develop the way it uses Business Central and manufacturing technology going forward. #J-18808-Ljbffr

Programme title: Systems Engineering Graduate Programme Salary: Minimum £35,000. Salary is dependent on location, role and qualifications. Location: Devonport, Plymouth Application closing date: 20 October 2026 Programme start date: September 2027 Role ID: 74577 At Babcock, Systems Engineering is the glue that holds complex projects together. As a Graduate Systems Engineer, you'll be at the centre of some of the UK's most advanced engineering programmes - applying systems principles to ensure that every component, process and stakeholder aligns to deliver safe, effective and sustainable solutions. Your work will shape systems that matter. You could be involved in designing and integrating cutting-edge submarines, converting military vehicles for new operational roles, refurbishing naval ships to extend their service life, infrastructure to support the refit of nuclear submarines, developing secure satellite communication systems, or advancing next-generation nuclear power plants that support the UK's net-zero goals. Each project presents unique systems challenges - and opportunities to make a real impact. You’ll support work across various stages of the engineering lifecycle - from technology innovation and concept design to production, commissioning, in-service support, and decommissioning. You’ll help bring structure to complexity - defining requirements, managing interfaces and supporting integration across multidisciplinary teams. Through practical experience and structured development, you’ll build the skills to engage with stakeholders, understand system needs, identify and mitigate risks, and ensure systems meet requirements and are ready for the real world. Over two years, you’ll rotate through placements every three to six months, giving you the opportunity to explore a broad range of projects and teams. These rotations offer opportunities to broaden your experience - and some may even take you to different locations - helping you build your professional network and deepen your understanding of how the business operates. Along the way, you’ll collaborate with experienced professionals across a range of disciplines, which may include engineering design, software, mechanical, construction, and electrical engineering, as well as in project management, quality assurance, and supply chain. This experience will help you build a strong foundation in systems engineering, while gradually taking on greater responsibilities, such as leading small teams and overseeing projects. As you progress, you’ll have the chance to align your placements with your interests and career goals, helping you build relevant experience in areas that matter most to you. From day one, you’ll receive structured support, personalised training, and dedicated mentorship to help you excel throughout your programme and beyond. You’ll join our Graduate Development Programme, featuring expert-led masterclasses on communication, personal branding, resilience, and wellbeing. To support your journey toward Chartered or Incorporated Engineer status, we offer guidance and cover all associated fees. Once you complete the programme, you’ll move into a permanent role within our Engineering Function, where you can continue applying and expanding the skills you’ve developed. You’ll also have the opportunity to build on your progress toward professional registration, a recognised benchmark of engineering competence, which can support your journey into more advanced roles, such as Senior Engineer. As a global organisation, Babcock provides countless opportunities to enhance your skills and advance your career. To support your growth, we’ve introduced the Babcock Role Framework, which outlines roles, career pathways, and development opportunities. With every job mapped to these frameworks, you’ll have a transparent view of the steps needed to reach Senior Engineer and beyond. We want you to feel supported, valued and excited about what's ahead. That's why we offer a comprehensive package designed to support your development, your wellbeing and your life outside of work too. In addition to a minimum starting salary of £35,000, you’ll benefit from: • A minimum of 25 days of holiday plus bank holidays, • Generous pension and employee share schemes, • Flexible benefits, including cycle to work scheme, discounts, • Wellbeing support, covering mental, physical, financial, and social wellbeing, with services like our Employee Assistance Programme, digital GP service, and health checks. You’ll also have the chance to get involved in our STEM outreach activities and volunteering opportunities. • You’ll need to have achieved, or be on track to achieve, a BEng, MEng, BSc, or MSc in a STEM discipline. We welcome applicants from a broad range of subjects, including Engineering, Computer Science, Information Technology, Mathematics, Physics, Chemistry, and emerging technology fields such as AI, Machine Learning, Robotics, and Cybernetics., • Many of our programmes are subject to Security Clearance and Trade Control restrictions which mean that your place of birth, nationality, citizenship, or residency you hold or have held may impact which programmes you are eligible for. For this programme, you must be able to achieve and maintain Baseline Personnel Security Standard (BPSS) and Security Check (SC) security clearance. For further details, visit GOV.UK and search United Kingdom Security Vetting: clearance levels'., • Under applicablenationalsecurity legislation, this post may only be occupied by asole UKnational. This legal requirement is independent of our recruitment policies, and all eligible applicants will be assessed fairly and without discrimination. Places on our Systems Engineering programme for September 2027 are available in our Marine/Nuclear sector in Plymouth. Based at Devonport in Plymouth, the largest naval base in Western Europe, you’ll be part of a team that provides critical support to the Royal Navy's surface ships and submarines. Here, you’ll contribute to projects such as infrastructure life-extension programmes and capability upgrades, and the overhaul of nuclear-powered submarines. You could be involved in optimising maintenance strategies, supporting the integration of new systems, or developing innovative solutions that ensure systems perform safely, efficiently, and in line with their design intent. While you'll join a specific business area and location, placements at different sites across the UK are possible. We encourage flexibility and openness to relocation throughout the programme and will consider your personal circumstances when arranging placements. Applications are reviewed in the order they are received, and if there's a high level of interest in this programme, we may close applications earlier than advertised. To give yourself the best chance of being considered, we recommend submitting your application and completing any required online assessments as soon as possible. We're a Disability Confident Employer. If you require additional support or adjustments during the recruitment process, please let us know when you apply. Our team will contact you after receiving your application to discuss your requirements and the support available. We're committed to building an inclusive culture where everyone's free to thrive. We are happy to talk about flexible working - please ask about alternative patterns of work at interview. #J-18808-Ljbffr

Location: Devonport, Plymouth, GB, PL2 2BG Onsite or Hybrid: OnSite Systems Engineering Graduate Programme Salary: Minimum £35,000. Salary is dependent on location, role and qualifications. Role ID: 74577 What will you do on the programme? At Babcock, Systems Engineering is the glue that holds complex projects together. As a Graduate Systems Engineer, you’ll be at the centre of some of the UK’s most advanced engineering programmes - applying systems principles to ensure that every component, process and stakeholder aligns to deliver safe, effective and sustainable solutions. Your work will shape systems that matter. You could be involved in designing and integrating cutting-edge submarines, converting military vehicles for new operational roles, refurbishing naval ships to extend their service life, infrastructure to support the refit of nuclear submarines, developing secure satellite communication systems, or advancing next-generation nuclear power plants that support the UK’s net-zero goals. Each project presents unique systems challenges – and opportunities to make a real impact. You’ll support work across various stages of the engineering lifecycle – from technology innovation and concept design to production, commissioning, in-service support, and decommissioning. You’ll help bring structure to complexity - defining requirements, managing interfaces and supporting integration across multidisciplinary teams. Through practical experience and structured development, you’ll build the skills to engage with stakeholders, understand system needs, identify and mitigate risks, and ensure systems meet requirements and are ready for the real world. How is the programme structured? Over two years, you’ll rotate through placements every three to six months, giving you the opportunity to explore a broad range of projects and teams. These rotations offer opportunities to broaden your experience – and some may even take you to different locations – helping you build your professional network and deepen your understanding of how the business operates. Along the way, you’ll collaborate with experienced professionals across a range of disciplines, which may include engineering design, software, mechanical, construction, and electrical engineering, as well as in project management, quality assurance and supply chain. This experience will help you build a strong foundation in systems engineering, while gradually taking on greater responsibilities, such as leading small teams and overseeing projects. As you progress, you'll have the chance to align your placements with your interests and career goals, helping you build relevant experience in areas that matter most to you. How do we develop and support you? From day one, you’ll receive structured support, personalised training and dedicated mentorship to help you excel throughout your programme and beyond. You’ll join our Graduate Development Programme, featuring expert-led masterclasses on communication, personal branding, resilience and wellbeing. To support your journey toward Chartered or Incorporated Engineer status, we offer guidance and cover all associated fees. What’s waiting for you after the programme? Once you complete the programme, you’ll move into a permanent role within our Engineering Function, where you can continue applying and expanding the skills you've developed. You’ll also have the opportunity to build on your progress toward professional registration, a recognised benchmark of engineering competence, which can support your journey into more advanced roles, such as Senior Engineer. As a global organisation, Babcock provides countless opportunities to enhance your skills and advance your career. To support your growth, we've introduced the Babcock Role Framework, which outlines roles, career pathways and development opportunities. With every job mapped to these frameworks, you’ll have a transparent view of the steps needed to reach Senior Engineer and beyond. What rewards and benefits will you get? We want you to feel supported, valued and excited about what’s ahead. That’s why we offer a comprehensive package designed to support your development, your wellbeing and your life outside of work too. In addition to a minimum starting salary of £35,000, you’ll benefit from: • A minimum of 25 days of holiday plus bank holidays, • Generous pension and employee share schemes, • Flexible benefits, including cycle to work scheme, discounts, • Wellbeing support, covering mental, physical, financial, and social wellbeing, with services like our Employee Assistance Programme, digital GP service and health checks. You’ll also have the chance to get involved in our STEM outreach activities and volunteering opportunities. What do you need to apply? • You’ll need to have achieved, or be on track to achieve, a BEng, MEng, BSc or MSc in a STEM discipline. We welcome applicants from a broad range of subjects, including Engineering, Computer Science, Information Technology, Mathematics, Physics, Chemistry and emerging technology fields such as AI, Machine Learning, Robotics and Cybernetics., • Many of our programmes are subject to Security Clearance and Trade Control restrictions which mean that your place of birth, nationality, citizenship or residency you hold or have held may impact which programmes you are eligible for. For this programme, you must be able to achieve and maintain Baseline Personnel Security Standard (BPSS) and Security Check (SC) security clearance. For further details, visit GOV.UK and search ‘United Kingdom Security Vetting: clearance levels’., • Under applicablenationalsecurity legislation, this post may only be occupied by asole UKnational. This legal requirement is independent of our recruitment policies, and all eligible applicants will be assessed fairly and without discrimination. Where will you be based? Places on our Systems Engineering programme for September 2027 are available in our Marine/Nuclear sector in Plymouth. Based at Devonport in Plymouth, the largest naval base in Western Europe, you’ll be part of a team that provides critical support to the Royal Navy’s surface ships and submarines. Here, you’ll contribute to projects such as infrastructure life-extension programmes and capability upgrades, and the overhaul of nuclear-powered submarines. You could be involved in optimising maintenance strategies, supporting the integration of new systems, or developing innovative solutions that ensure systems perform safely, efficiently and in line with their design intent. While you’ll join a specific business area and location, placements at different sites across the UK are possible. We encourage flexibility and openness to relocation throughout the programme and will consider your personal circumstances when arranging placements. Application process and important information Applications are reviewed in the order they are received, and if there’s a high level of interest in this programme, we may close applications earlier than advertised. To give yourself the best chance of being considered, we recommend submitting your application and completing any required online assessments as soon as possible. We’re a Disability Confident Employer. We’re committed to building an inclusive culture where everyone’s free to thrive. We are happy to talk about flexible working – please ask about alternative patterns of work at interview. #J-18808-Ljbffr

83zero is seeking a hands-on Data and Digital Solutions Lead to shape and deliver data and digital solutions from concept to implementation. You will translate unclear requirements into robust technical designs and build solutions using Python, cloud and modern data technologies. You will apply AI, machine learning and automation to operational challenges, support digital-twin and data-platform development, and lead technical delivery while engaging with senior stakeholders. #J-18808-Ljbffr

Principal Data & Digital Solutions Lead Contract | £400 per day | Inside IR35 | South West | Defence We need a hands-on Data and Digital Solutions Lead who can turn complex engineering or operational problems into practical, working solutions. • Shape and deliver data and digital solutions from concept through to implementation, • Translate unclear requirements into robust technical designs, • Build solutions using Python, cloud and modern data technologies, • Apply AI, machine learning and automation to operational challenges, • Support digital-twin, data-platform and engineering-application development, • Lead technical delivery and engage confidently with senior stakeholders, • Ensure solutions meet strict defence security and governance requirements, • Strong data, digital or solution-architecture experience, • Hands-on Python and data engineering capability, • Experience with AI, machine learning, automation or digital twins, • Background in engineering, infrastructure, defence or another complex regulated environment, • Proven ability to take loosely defined problems through to working solutions, • Strong technical leadership and stakeholder-management skills, • Immediately available or on very short notice, • Able to work regularly on-site in the South West Due to the programme's security restrictions, applicants must: • Be a sole British passport holder, • Be eligible to obtain high-level UK security clearance #J-18808-Ljbffr

Programme title: Systems Engineering Graduate Programme Salary: Minimum £35,000. Salary is dependent on location, role and qualifications. Location: Devonport, Plymouth Application closing date: 20 October 2026 Programme start date: September 2027 Role ID: 74577 At Babcock, Systems Engineering is the glue that holds complex projects together. As a Graduate Systems Engineer, you’ll be at the centre of some of the UK’s most advanced engineering programmes - applying systems principles to ensure that every component, process and stakeholder aligns to deliver safe, effective and sustainable solutions. Your work will shape systems that matter. You could be involved in designing and integrating cutting-edge submarines, converting military vehicles for new operational roles, refurbishing naval ships to extend their service life, infrastructure to support the refit of nuclear submarines, developing secure satellite communication systems, or advancing next-generation nuclear power plants that support the UK’s net-zero goals. Each project presents unique systems challenges – and opportunities to make a real impact. You’ll support work across various stages of the engineering lifecycle – from technology innovation and concept design to production, commissioning, in-service support, and decommissioning. You’ll help bring structure to complexity - defining requirements, managing interfaces and supporting integration across multidisciplinary teams. Through practical experience and structured development, you’ll build the skills to engage with stakeholders, understand system needs, identify and mitigate risks, and ensure systems meet requirements and are ready for the real world. Over two years, you’ll rotate through placements every three to six months, giving you the opportunity to explore a broad range of projects and teams. These rotations offer opportunities to broaden your experience – and some may even take you to different locations – helping you build your professional network and deepen your understanding of how the business operates. Along the way, you’ll collaborate with experienced professionals across a range of disciplines, which may include engineering design, software, mechanical, construction, and electrical engineering, as well as in project management, quality assurance, and supply chain. This experience will help you build a strong foundation in systems engineering, while gradually taking on greater responsibilities, such as leading small teams and overseeing projects. As you progress, you'll have the chance to align your placements with your interests and career goals, helping you build relevant experience in areas that matter most to you. From day one, you’ll receive structured support, personalised training, and dedicated mentorship to help you excel throughout your programme and beyond. You’ll join our Graduate Development Programme, featuring expert-led masterclasses on communication, personal branding, resilience, and wellbeing. To support your journey toward Chartered or Incorporated Engineer status, we offer guidance and cover all associated fees. Once you complete the programme, you’ll move into a permanent role within our Engineering Function, where you can continue applying and expanding the skills you've developed. You’ll also have the opportunity to build on your progress toward professional registration, a recognised benchmark of engineering competence, which can support your journey into more advanced roles, such as Senior Engineer. As a global organisation, Babcock provides countless opportunities to enhance your skills and advance your career. To support your growth, we've introduced the Babcock Role Framework, which outlines roles, career pathways, and development opportunities. With every job mapped to these frameworks, you’ll have a transparent view of the steps needed to reach Senior Engineer and beyond. We want you to feel supported, valued and excited about what’s ahead. That’s why we offer a comprehensive package designed to support your development, your wellbeing and your life outside of work too. In addition to a minimum starting salary of £35,000, you’ll benefit from: • A minimum of 25 days of holiday plus bank holidays, • Generous pension and employee share schemes, • Flexible benefits, including cycle to work scheme, discounts, • Wellbeing support, covering mental, physical, financial, and social wellbeing, with services like our Employee Assistance Programme, digital GP service, and health checks. You’ll also have the chance to get involved in our STEM outreach activities and volunteering opportunities. • You’ll need to have achieved, or be on track to achieve, a BEng, MEng, BSc, or MSc in a STEM discipline. We welcome applicants from a broad range of subjects, including Engineering, Computer Science, Information Technology, Mathematics, Physics, Chemistry, and emerging technology fields such as AI, Machine Learning, Robotics, and Cybernetics., • Many of our programmes are subject to Security Clearance and Trade Control restrictions which mean that your place of birth, nationality, citizenship, or residency you hold or have held may impact which programmes you are eligible for. For this programme, you must be able to achieve and maintain Baseline Personnel Security Standard (BPSS) and Security Check (SC) security clearance. For further details, visit GOV.UK and search ‘United Kingdom Security Vetting: clearance levels’., • Under applicable national security legislation, this post may only be occupied by a sole UK national. This legal requirement is independent of our recruitment policies, and all eligible applicants will be assessed fairly and without discrimination. Places on our Systems Engineering programme for September 2027 are available in our Marine/Nuclear sector in Plymouth. Based at Devonport in Plymouth, the largest naval base in Western Europe, you’ll be part of a team that provides critical support to the Royal Navy’s surface ships and submarines. Here, you’ll contribute to projects such as infrastructure life‑extension programmes and capability upgrades, and the overhaul of nuclear‑powered submarines. You could be involved in optimising maintenance strategies, supporting the integration of new systems, or developing innovative solutions that ensure systems perform safely, efficiently, and in line with their design intent. While you’ll join a specific business area and location, placements at different sites across the UK are possible. We encourage flexibility and openness to relocation throughout the programme and will consider your personal circumstances when arranging placements. Applications are reviewed in the order they are received, and if there’s a high level of interest in this programme, we may close applications earlier than advertised. To give yourself the best chance of being considered, we recommend submitting your application and completing any required online assessments as soon as possible. Please apply to one programme only. If we receive more than one application from you, we’ll assess the first one submitted. If your chosen programme becomes oversubscribed, we may contact you to discuss other programmes you could be eligible for. We're a Disability Confident Employer. If you require additional support or adjustments during the recruitment process, please let us know when you apply. Our team will contact you after receiving your application to discuss your requirements and the support available. We’re committed to building an inclusive culture where everyone’s free to thrive. We are happy to talk about flexible working – please ask about alternative patterns of work at interview. #J-18808-Ljbffr

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.

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Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical discipline, or equivalent practical experience. We value AI-first thinking, clean architecture, intuitive experiences, and a culture of continuous learning.