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Machine Learning Engineer - Defence ££60,000 - £90,000 GBP Hybrid WORKING Location: Manchester;Bristol;London;Newcaslte , Manchester, North West - United Kingdom Type: Permanent Machine Learning Engineer Newcastle | Manchester | Bristol | London | Hybrid | Permanent Our client is a specialist technology consultancy delivering high-impact engineering across defence and complex environments, supporting organisations operating in secure, mission-critical settings. The focus is on solving complex problems through advanced machine learning and AI capabilities within constrained and high-assurance environments. This role offers the opportunity to work on cutting-edge machine learning and large language model (LLM) systems, contributing to impactful solutions where performance, reliability, and security are critical. You'll have the opportunity to: • Design and develop machine learning and LLM-based solutions, • Work on advanced AI systems within secure and constrained environments, • Apply deep technical knowledge across ML, statistics, and optimisation, • Contribute to real-world AI applications in defence and high-assurance settings, • Collaborate with engineers and clients to solve complex challenges, • Take ownership of delivery within high-impact projectsYour Responsibilities:, • Develop and deploy machine learning models and LLM-based systems, • Apply knowledge of transformer architectures and LLM principles, • Optimise model performance, inference, and efficiency, • Evaluate model behaviour using established performance frameworks, • Contribute to solutions deployed in edge, constrained, or air-gapped environments, • Apply best practices in AI safety, explainability, and robustness, • Collaborate with engineering teams to integrate ML systems into production environmentsKey Requirements:, • Strong understanding of machine learning fundamentals, • Solid foundation in mathematics and statistics, • Hands-on experience with LLMs and transformer architectures, • Experience with model evaluation and inference optimisation, • Strong programming experience (typically Python), • Ability to work on complex problems within constrained environments, • Strong analytical and problem-solving capability, • Clear communication skills and ability to work in client-facing environments, • UK national, eligible for UK Security Clearance (SC)You will gain exposure with:, • Advanced LLM and AI system development, • Deployment of ML systems in secure and resource-constrained environments, • Real-world applications of AI safety and explainability, • High-impact defence and national security programmes, • Complex engineering challenges requiring both theory and practical deliveryWhy Join:, • Work on cutting-edge AI problems with real-world implications, • Operate within a high-performance, engineering-focused environment, • Gain exposure to advanced ML, LLMs, and secure systems, • Take ownership of meaningful technical delivery, • Flexible working across Newcastle, Manchester, Bristol, and LondonInterested? Apply now. Reference: AON/AMC/BCMachineLearning #aaon JBRP1_UKTJ

AI Forward Deployed Engineer Machine Learning, Python, PyTorch, TensorFlow, LLMs, RAG, Generative AI, Agentic Systems, Cloud, Consulting, Solutions Engineering, EMEA (Remote) Very Attractive Salary + Benefits This is a fantastic opportunity for a Senior AI Forward Deployed Engineer to join a leading technology consulting and AI delivery organisation, working directly with strategic enterprise clients. The AI Forward Deployed Engineer is a remote working role, ideally based in EMEA region, with international travel expected as required. As an AI Forward Deployed Engineer, you will play a highly consultative and deeply technical role, embedded within strategic customer environments, supporting the design and implementation of end-to-end AI systems. The AI Forward Deployed Engineer will work across both traditional Machine Learning and modern Generative AI domains, delivering production-grade solutions and rapid proof-of-concepts that enable large-scale AI transformation. Strong hands-on experience in building and deploying Machine Learning systems in production environments is expected as an AI Forward Deployed Engineer, including full end-to-end pipelines covering data ingestion, feature engineering, model training, evaluation, and deployment. The AI Forward Deployed Engineer will bring strong practical experience in Generative AI and modern AI systems, including transformer-based models, large language models (LLMs), Retrieval-Augmented Generation (RAG), agentic systems, and AI orchestration frameworks. Demonstrated experience building AI applications using models such as GPT, Claude, Gemini, and similar is expected. Excellent communication and stakeholder management skills is expected as an AI Forward Deployed Engineer, working closely with senior leadership such as CIOs, CTOs, and Heads of Digital Transformation, translating complex business problems into scalable and production-ready AI solutions. Key Skills as AI Forward Deployed Engineer: • 5+ years experience in software engineering, ML engineering, data science, or AI solution delivery in enterprise environments., • Proven experience building and deploying end-to-end Machine Learning pipelines in production., • Strong knowledge of ML (regression, classification, clustering, anomaly detection) and deep learning (PyTorch and/or TensorFlow)., • Hands-on experience with Generative AI, including LLMs, RAG systems, and agent-based applications., • Strong Python skills (JavaScript is a plus) and experience deploying AI solutions on cloud platforms (AWS, Azure, or GCP)., • Experience in customer-facing consulting, solutions engineering, or enterprise delivery roles, ideally within major IT services or consulting firms. This is an exceptional AI Forward Deployed Engineer opportunity, offering the chance to deliver high-impact Machine Learning and Generative AI solutions for leading organisations in the region. Key Skills: Machine Learning, Python, PyTorch, TensorFlow, LLMs, RAG, Generative AI, Agentic Systems, Cloud, Consulting, Solutions Engineering, EMEA (Remote) PLEASE READ BEFORE APPLYING This is a senior, client-facing, embedded engineering role. Candidates must have demonstrated experience delivering production-grade Machine Learning systems in enterprise environments, along with strong practical experience in Generative AI technologies. Prior experience in consulting, IT services, or enterprise delivery environments is essential. JBRP1_UKTJ

Use your FPGA skills for ultraprecise optical fibre sensing DSPBristol; to £90,000 DoE + benefitsWith applications in industry and national infrastructure protection, this Bristol-based company's technology can turn legacy fibre-optics into high precision long distance sensors. As their business continues to grow, they are seeking a highly experienced FPGA Engineering Lead to join their team. This fully on-site role combines hands-on FPGA design with team leadership and ownership of the development process, mentoring of less experienced colleagues, and a substantial influence over future product architecture. You'll be working closely with colleagues from the Machine Learning and RF teams. Your technology focus will be highly optimised FPGA designs for digitally transforming raw optical signals to inputs suitable for machine learning algorithms. You will be working with technologies such as RFSoCs and SDRs with FPGAs from AMD/Xilinx, and will need excellent design skills, hands-on lab skills, and fluency in VHDL. You will need: • A good degree in electronics or a similarly applicable subject from a well-regarded university and strong grades at A-level (or equivalent)., • Very substantial Xilinx RFSoC and/or software defined radio (SDR) systems experience, • Solid understanding of DSP techniques and their mathematical underpinnings, • Fluency in VHDL, and good knowledge of designing with Xilinx/AMD; hands-on electronics lab skills, • Full existing right to work in the UK without time limit or sponsorship., • As applications involve defence and government work, you must be eligible for a UK SC security clearanceBased in pleasant offices on the outskirts of Bristol, this would be a good opportunity for a skilled engineer looking to progress further into team and technical leadership whilst staying hands-on with world-leading technology. A highly competitive salary is on offer to the successful candidate. Keywords: Team Lead, RFSoC, SDR, Software Defined Radio, Xilinx, AMD, DSP, hands-on engineering, Bristol Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: TJ27599) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate. JBRP1_UKTJ

Head of Engineering We're partnered with a fast-growing AI business building mission-critical software used in high-trust environments. They're looking for a Head of Engineering to lead and grow a team of talented software engineers while remaining close to the technology. You'll help shape technical strategy, drive engineering excellence, and work closely with product and leadership teams to deliver complex AI-enabled products into production. We're looking to speak with engineers who have: • Experience leading and mentoring engineering teams, • Strong software engineering background across backend systems and cloud infrastructure, • Experience building and scaling production-grade products, • Exposure to AI, machine learning, or data-driven environments, • A hands-on approach and willingness to remain close to the code The business is growing rapidly and offers a rare opportunity to influence both the technical direction and long-term growth of the company. If you'd be interested in hearing more, please get in touch. JBRP1_UKTJ

Company description: Fantastic challenges. Amazing opportunities. GKN Aerospace is reimagining air travel: going further, faster and greener! Fuelled by great people whose expertise and creativity sets the standards in our industry, were inspired by the opportunities to innovate and break boundaries. Were proud to play a part in protecting the worlds democracies. And were committed to putting sustainability at the centre of everything we do, opening up and protecting our planet. With over 16,000 employees across 33 manufacturing sites in 12 countries we serve over 90% of the worlds aircraft and engine manufacturers and achieved sales of £3.35 bn.in 2023. There are no limits to where you can take your career. Job description: Job Summary Its great to know youre making a difference to the future of aviation! Whatever part you play youll be helping us deliver operational excellence to our customers. At our GKN Filton site, we specialise in the design and manufacture of large complex structural wing assemblies, detailed metallic componentsand wing systems for a combination of both civil and military aircraft. GKN Aerospace are searching qualified fitters to express an interest in working with GKN to operate as multi-skilled, flexible workers to ensure maximum effectiveness and efficiency within our areas. We are anticipating further uptake in the coming months and will be in touch to any successful applicants. Successful applicants will have a wideknowledge of hand and machine tools used in the aircraft industry including: Precussion riveting Drill/Ream/Countersink in panels with Vanmar tools Setting structures in build jigs Deburring of structures Fettling using approved setting tools Treatment touch-up in localised areas on aluminium Use of CNC pillar drills (DONAU) Part Marking + Identifying Profile description: How You'll Contribute • Ensure parts are produced on a right first time basis, • Ensure that any calibrated equipment used is within date, • Responsible for the timely clearance of work phases using the SAP system, • Responsible for highlighting any non-conformance to the Process Team Leader, • Adhering to the requirements of the GKNAF Quality Procedures, • Accountable for Health & Safety requirements under Section 7 of the HASAWA 1974, • To hold first party inspection approval (M02 status is subject to obtaining A stamp approval) What You'll Bring To help us make a difference, youll bring your passion and talent for what you do along with the following skills, experience, qualifications and attributes: Essential: • Must have a recognised indentured apprenticeship (level 3), • Export Control understanding and regulatory requirements, • Ability to work to standard operating procedures Desirable: • Previous manufacturing experience in an aircraft production environment, • Knowledge of lean manufacturing principles and techniques to support GKNAF continuous improvement initiatives We offer: What We'll Offer Once youre on board youll get the following perks and benefits: ? Starting salary of £35,304 rising to £36,750 once fully certified (after around 3 months) + shift allowance where applicable (up to 33%) + Up to 4% Bonus ? Industry Leading Pension Scheme = well match your contributions up to 8% on a 1 : 1.5 basis (totalling up to 20% pension contribution) ? Life Assurance 8 x salary ? 175 hours annual leave + bank holidays ? Income protection ? Shopping discounts ? Cycle To Work Scheme ? Employee Assistance Programme ? Virtual GP Clinic for you and immediate family ? A collaborative, dynamic working environment As well as a competitive package well offer you a world of opportunity. We want to see your career fly! Well support your career progression by providing you with learning and development opportunities. Thats the beauty of being part of a global business, once youre on board you never know where you career journey may take you! JBRP1_UKTJ

Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming todays workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills theyve learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UKs first EdTech unicorn. But we arent stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. Were building a world where tech skills unlock peoples potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Opportunity We are seeking a passionate and knowledgeable AI Workshop Lead with working knowledge in training, tuning, deploying, and monitoring classical and deep Machine Learning models. AI Workshop Lead you will be responsible for delivering high-quality curriculum and mentoring learners, guiding them professionally and will be involved in continuous improvement of relevant learning products. You can expect to cover learning products such as AI & Machine Learning Fellowship and support delivering Machine Learning-related content in higher-level apprenticeship programmes such as Advanced Data Fellowship and AI Data Specialist. You will cover a range of topics, including: Fundamentals of ML and AI (including Machine Learning Lifecycle, Machine Learning Mathematical Foundations); Solving Business Problems with Machine Learning; Data Preparation and Feature Engineering; Planning and preparing ML/AI solution; Data Ethics and Responsible AI; Model Engineering and Training; Model Evaluation and Deployment; Monitoring, Maintenance, and Continuous Learning; Data Security, Privacy, and Governance; Stakeholder Communication and Documentation The Multiverse coaching team is a diverse mix of industry experts, educators, and academics, working together to build the future of work. You will be part of this team, reporting to a Delivery Lead who will guide your development. To ensure a strong start, you will complete a 3-week onboarding programme, covering: Modern teaching methodologies - for a hands-on, engaging learning experience Technical upskilling - to align with the relevant apprenticeship standard Practical coaching opportunities - a rigorous, robust feedback process to get you ready to launch your programme At the end of onboarding, you will be ready to support Multiverse apprentices, helping them develop technical expertise and industry-relevant skills relating to the ML domain and drive impact within their businesses. We believe this is an opportunity like no other! Specifically, you will: As an instructor, you will be responsible for the delivery of our technical content and supporting our apprentices in upskilling in these technical areas through workshops and drop-in sessions. You will help apprentices develop the appropriate Knowledge, Skills & Behaviours throughout their programme. Confidently facilitate delivery sessions of our technical learning content, ensuring the session delivers against learning objectives within the allotted time. Adhere to the Coach Quality framework to ensure a consistent level of quality for every session and a consistent experience for every apprentice. Create a vibrant, inclusive, and motivating environment that drives apprentice learning, engagement, and overall satisfaction. Moderate assignments in line with mark schemes to ensure quality and consistency while providing feedback and feedforward for apprentices to develop their technical and durable skills continually. Maintain an owner's mentality, whether assigned a learner or in support of other coaches, being proactive in taking action, sharing feedback, or providing support to ensure the progress and success of learners. Regularly liaise with coaches to align on apprentice interventions to ensure successful completion of the programme. Coordinate with cohort coaches and operations members to align on apprentice development and progress. Utilise resources & learning opportunities provided by Multiverse, stay up-to-date on knowledge, learning, and product updates, to ensure you are equipped to support your apprentices. Build & maintain credibility with your apprentices by utilizing a mixture of professional experience, program/domain/industry knowledge, and client context in your interactions. Create a compelling narrative about Multiverse, our mission, and the pillars of our offering, and help apprentices connect to it through the duration of their apprenticeship, and beyond. Advanced Programmes only: undertake regular specialized Higher Education CPD to own your own development of the degree apprenticeship experience. About you: You will have a combination of both deep technical skills and significant experience applying this in an industry setting, and ideally 1+ year of experience in learning & development, coaching or education. Technical Expertise: Postgraduate qualification in Computer Science, AI, Data Science, or related fields. Strong knowledge of AI, machine learning, deep learning, and probabilistic modeling. Proficient in Python, PySpark, data modeling, and microservices. Experience in MLOps, AI lifecycle management, and LLM orchestration on cloud platforms (AWS, GCP, Azure). Familiar with DevOps tools (Azure DevOps, GitHub Actions, Jenkins, Terraform, AWS CloudFormation). Industry Experience: Hands-on experience with cloud-based AI/ML solutions and Responsible AI practices. Skilled in real-world ML applications and their societal impact. Proven ability to manage stakeholders at all levels and lead AI/ML projects. Teaching & Communication: Experienced in technical training, mentoring, and coaching. Teaching qualification or industry recognition (e.g., FHEA) is a plus. Public speaking, industry engagement, and GitHub contributions are desirable. Other Qualifications & Experience: Exceptional interpersonal, leadership, and communication abilities, with a demonstrated capacity to work across teams, lead cross-functional projects, and communicate complex technical concepts to non-technical stakeholders. Strong written and on-camera communication and presentation abilities, adept at engaging and motivating learners. Demonstrated skills in applying business case principles and articulating the business value related to relevant innovations. You are passionate about delivering the best learning opportunities and supporting others on their development journey. You align closely with our values and can share examples of how you have demonstrated them. Benefits Time off - 27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company-wide wellbeing days (M-Powered Weekend) and 8 bank holidays per year Health & Wellness- private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Wellhub and access to Spill - all in one mental health support Hybrid work offering - for most roles we collaborate in the office three days per week with the exception of Coaches and Instructors who collaborate in the office once a month Work-from-anywhere scheme - you'll have the opportunity to work from anywhere, up to 10 days per year Space to connect: Beyond the desk, we make time for weekly catch-ups, seasonal celebrations, and have a kitchen thats always stocked! Our Commitment to Diversity, Equity and Inclusion Were an equal opportunities employer. And proud of it. Every applicant and employee is afforded the same opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. This will never change. Read our Equality, Diversity & Inclusion policy here. Our Commitment to Safeguarding Multiverse is committed to safeguarding and promoting the welfare of our learners. We expect all employees to share this commitment and adhere to our Safeguarding Policy, our Prevent Policy and all other Multiverse company policies. Successful applicants will be required to undertake at least a Basic check via the Disclosure Barring Service (DBS). For roles that will involve a Regulated Activity, successful applicants must also undergo an Enhanced DBS check, including a Childrens Barred List check and a Prohibition Order check. Roles involving Regulated Activity may interact with vulnerable groups, therefore are exempt from the Rehabilitation of Offenders Act 1974 meaning applicants are required to declare any convictions, cautions, reprimands, and final warnings. Providing false information is an offence and could result in the application being rejected or summary dismissal if the applicant has been selected, and possible referral to the police and the DBS. JBRP1_UKTJ

Trainee AI Engineer - No Experience Needed! Ready to launch a future-proof career in AI - even if you have zero experience? We’re looking for ambitious individuals ready to break into the world of artificial intelligence and data science. Our industry-leading AI Traineeship is designed to take you from complete beginner to a highly employable Junior AI Engineer, with full training provided and a guaranteed job offer (£25K-£45K starting salary) within 20 miles of your location. Whether you're working full-time, part-time, or currently unemployed, our flexible, self-paced program allows you to train around your lifestyle and be job-ready in as little as 6-12 months. How it works - your journey to AI success Step 1: Discover AI Start your journey with our beginner-friendly mini-course bundle. Explore the fundamentals of AI through interactive videos, presentations, and quizzes - all accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and a strong portfolio as you learn. Step 3: Get Certified Prepare for and earn your Microsoft AI-900: Azure AI Fundamentals certification, an internationally recognised qualification that proves your knowledge and boosts your credibility with employers. Step 4: Real-World Projects Showcase your new skills with two industry-based, practical projects assigned by your personal tutor. These projects are designed to give you real, portfolio-worthy experience, making you stand out to employers from day one. Your guaranteed future After completing your training, you'll be placed in a Junior AI Engineer role with a guaranteed starting salary of £25K-£45K. We work with top employers across the UK to ensure you get matched with a role close to home. We guarantee a job offer upon completion or 100% of your course fees refunded. We’re proud to have helped over 1,000 people each year transform their careers. Explore our success stories on our website and see what your future could look like. At a one off cost of £990, or a deposit of £149 followed by 10 interest free monthly instalments of £124, this represents a great opportunity to start a rewarding career in Ai and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees. Ready to future-proof your career? If you’re passionate about tech and ready to break into one of the fastest-growing industries in the world, apply now. One of our friendly advisors will be in touch to guide you through the next steps. ‘Please note that this is a training course and fees apply

Data Scientist Placement Programme - No Experience Required Our training will help you kick-start a new career as a Data Scientist. We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee within 20 miles of your location upon completion. Whether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you. The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: Step 1 - Full Data Science Career Training You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study. This step will fully prepare you for the professional projects that you will undertake in step 4 of this process. At the end of this step, you will complete a short online multiple-choice exam to showcase your understanding of the courses before moving on to step 2. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Visualization, Data Governance & Data Analytics. In any industry, gaining official certifications is very important in the recruitment process. Therefore, this globally recognized certification will enhance your CV and make you stand out from the crowd. Step 3 - Official Exam The CompTIA Data+ exam will certify that you have knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analysing complex datasets while adhering to governance and quality standards. The exam is 90 minutes long and can be sat either in your local testing centre or online. Step 4 - Practical Projects Now that you have completed your theory training and official exams, you will be assigned 2 practical projects by your tutor. The projects are the most important part of the traineeship as it will showcase to employers that you have skills required to work in a data science role. The projects will use real world scenarios where you be utilising all of the skill that you have learned. Whilst you are progressing through the projects, you will have the ongoing support from your personal tutor. Once both projects have been completed and given the final sign off, you will have completed the traineeship and will be ready to move onto the recruitment stage. Your Data Science Role Once you have completed all of the mandatory training, which includes the online courses, practical projects and building your own portfolio, we will place you into a Data Scientist role, where you will be guaranteed a great starting salary. We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates. At a one off cost of £1495, or a deposit of £212 followed by 10 interest free monthly instalments of £148, this represents a great opportunity to start a rewarding career in IT and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees. Read through the information? Passionate about starting a career in data science? Apply now and one of our friendly advisors will be in touch. ‘Please note that this is a training course and fees apply